diff --git a/Machine Learning/Query Optimization/README.md b/Machine Learning/Query Optimization/README.md
index 325037c0..107f5e64 100644
--- a/Machine Learning/Query Optimization/README.md	
+++ b/Machine Learning/Query Optimization/README.md	
@@ -8,16 +8,16 @@ For a high-level overview of the motivation, prerequisite knowledge and summary,
 
 ## Results
 
-Based on a series of evaluations with various analyzers, query types, and optimization, we’ve achieved the following results on the MS MARCO Document "Full Ranking" task as measured by MRR@100 on the "development" dataset. All experiments with full details and explanations can be found in the referenced Jupyter notebook. The best scores from each notebook are highlighted.
+Based on a series of evaluations with various analyzers, query types, and optimization, we’ve achieved the following results on the MS MARCO Document "Full Ranking" task as measured by MRR@100 on the "development" dataset. All experiments with full details and explanations can be found in the referenced Jupyter notebook. The best scores from each experiment are highlighted.
 
 | Reference notebook | Experiment | MRR@100 |
 |---|---|---|
 | [0 - Analyzers](notebooks/0%20-%20Analyzers.ipynb) | Default analyzers, combined per-field `match`es | 0.2403 |
 | [0 - Analyzers](notebooks/0%20-%20Analyzers.ipynb) | Custom analyzers, combined per-field `match`es | 0.2504 |
 | [0 - Analyzers](notebooks/0%20-%20Analyzers.ipynb) | Default analyzers, `multi_match` `cross_fields` (default params) | 0.2475 |
-| [0 - Analyzers](notebooks/0%20-%20Analyzers.ipynb) | Default analyzers, `multi_match` `cross_fields` (default params) | 0.2683 |
+| [0 - Analyzers](notebooks/0%20-%20Analyzers.ipynb) | Custom analyzers, `multi_match` `cross_fields` (default params) | 0.2683 |
 | [0 - Analyzers](notebooks/0%20-%20Analyzers.ipynb) | Default analyzers, `multi_match` `best_fields` (default params) | 0.2714 |
-| [0 - Analyzers](notebooks/0%20-%20Analyzers.ipynb) | Default analyzers, `multi_match` `best_fields` (default params) | **0.2873** |
+| [0 - Analyzers](notebooks/0%20-%20Analyzers.ipynb) | Custom analyzers, `multi_match` `best_fields` (default params) | **0.2873** |
 | [1 - Query tuning](notebooks/1%20-%20Query%20tuning.ipynb) | `multi_match` `cross_fields` baseline: default params | 0.2683 |
 | [1 - Query tuning](notebooks/1%20-%20Query%20tuning.ipynb) | `multi_match` `cross_fields` tuned (step-wise): `tie_breaker`, `minimum_should_match` | 0.28419 |
 | [1 - Query tuning](notebooks/1%20-%20Query%20tuning.ipynb) | `multi_match` `cross_fields` tuned (step-wise): all params | **0.3007** |
@@ -26,6 +26,82 @@ Based on a series of evaluations with various analyzers, query types, and optimi
 | [1 - Query tuning](notebooks/1%20-%20Query%20tuning.ipynb) | `multi_match` `cross_fields` tuned (all-in-one v3, random): all params | 0.2966 |
 | [2 - Query tuning - best_fields](notebooks/2%20-%20Query%20tuning%20-%20best_fields.ipynb) | `multi_match` `best_fields` baseline: default params | 0.2873 |
 | [2 - Query tuning - best_fields](notebooks/2%20-%20Query%20tuning%20-%20best_fields.ipynb) | `multi_match` `best_fields` tuned (all-in-one): all params | **0.3079** |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `url`: `standard` analyzer; default params | 0.1843 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `url`: `standard` analyzer; tuned params | 0.1876 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `url`: non-word tokenizer, english filters, english+url stopwords; default params | 0.2060 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `url`: non-word tokenizer, english filters, english+url stopwords; tuned params | 0.2139 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `url`: non-word tokenizer, english filters, english+question+url stopwords; default params | 0.2094 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `url`: non-word tokenizer, english filters, english+question+url stopwords; tuned params | **0.2201** |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `title`: `standard` analyzer; default params | 0.2012 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `title`: `standard` analyzer; tuned params | 0.2000 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `title`: `english` analyzer; default params | 0.2280 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `title`: `english` analyzer; tuned params | 0.2305 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `title`: `standard` tokenizer, english filters, english+question stopwords; default params | 0.2298 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `title`: `standard` tokenizer, english filters, english+question stopwords; tuned params | **0.2354** |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `title.bigrams`: `standard` analyzer; default params | 0.1080 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `title.bigrams`: `standard` analyzer; tuned params | 0.1084 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `title.bigrams`: `standard` tokenizer, english bigrammer, no stopwords; default params | 0.1176 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `title.bigrams`: `standard` tokenizer, english bigrammer, no stopwords; tuned params | 0.1166 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `title.bigrams`: `standard` tokenizer, english bigrammer, english+question stopwords; default params | **0.1295** |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `title.bigrams`: `standard` tokenizer, english bigrammer, english+question stopwords; tuned params | 0.1272 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `body`: `standard` analyzer; default params | 0.2503 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `body`: `standard` analyzer; tuned params | 0.2617 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `body`: `english` analyzer; default params | 0.2463 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `body`: `english` analyzer; tuned params | 0.2617 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `body`: `standard` tokenizer, english filters, english+question stopwords; default params | 0.2568 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `body`: `standard` tokenizer, english filters, english+question stopwords; tuned params | **0.2645** |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `body.bigrams`: `standard` analyzer; default params | 0.1575 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `body.bigrams`: `standard` analyzer; tuned params | 0.1580 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `body.bigrams`: `standard` tokenizer, english bigrammer, no stopwords; default params | 0.1675 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `body.bigrams`: `standard` tokenizer, english bigrammer, no stopwords; tuned params | 0.1674 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `body.bigrams`: `standard` tokenizer, english bigrammer, english stopwords; default params | 0.2013 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `body.bigrams`: `standard` tokenizer, english bigrammer, english stopwords; tuned params | 0.2040 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `body.bigrams`: `standard` tokenizer, english bigrammer, english+question stopwords; default params | 0.2015 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `body.bigrams`: `standard` tokenizer, english bigrammer, english+question stopwords; tuned params | **0.2045** |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `expansions`: `standard` analyzer; default params | 0.3066 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `expansions`: `standard` analyzer; tuned params | 0.3123 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `expansions`: `english` analyzer; default params | 0.3078 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `expansions`: `english` analyzer; tuned params | 0.3199 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `expansions`: `standard` tokenizer, english filters, english+question stopwords; default params | 0.3081 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `expansions`: `standard` tokenizer, english filters, english+question stopwords; tuned params | **0.3220** |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `expansions.bigrams`: `standard` analyzer; default params | 0.2596 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `expansions.bigrams`: `standard` analyzer; tuned params | 0.2596 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `expansions.bigrams`: `standard` tokenizer, english bigrammer, no stopwords; default params | 0.2679 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `expansions.bigrams`: `standard` tokenizer, english bigrammer, no stopwords; tuned params | 0.2679 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `expansions.bigrams`: `standard` tokenizer, english bigrammer, english stopwords; default params | 0.2795 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `expansions.bigrams`: `standard` tokenizer, english bigrammer, english stopwords; tuned params | 0.2793 |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `expansions.bigrams`: `standard` tokenizer, english bigrammer, english+question stopwords; default params | **0.2837** |
+| [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb) | `expansions.bigrams`: `standard` tokenizer, english bigrammer, english+question stopwords; tuned params | 0.2832 |
+| [doc2query - 2 - best_fields](notebooks/doc2query%20-%202%20-%20best_fields.ipynb) | Base fields; default params | 0.2873 |
+| [doc2query - 2 - best_fields](notebooks/doc2query%20-%202%20-%20best_fields.ipynb) | Base fields; tuned params | 0.3079 |
+| [doc2query - 2 - best_fields](notebooks/doc2query%20-%202%20-%20best_fields.ipynb) | Base fields + bigrams; default params | 0.2582 |
+| [doc2query - 2 - best_fields](notebooks/doc2query%20-%202%20-%20best_fields.ipynb) | Base fields + bigrams; tuned params | 0.3036 |
+| [doc2query - 2 - best_fields](notebooks/doc2query%20-%202%20-%20best_fields.ipynb) | Base fields + expansions; default params | 0.3229 |
+| [doc2query - 2 - best_fields](notebooks/doc2query%20-%202%20-%20best_fields.ipynb) | Base fields + expansions; tuned params | 0.3369 |
+| [doc2query - 2 - best_fields](notebooks/doc2query%20-%202%20-%20best_fields.ipynb) | Base fields + expansions + bigrams; default params | 0.3240 |
+| [doc2query - 2 - best_fields](notebooks/doc2query%20-%202%20-%20best_fields.ipynb) | Base fields + expansions + bigrams; tuned params | **0.3420** |
+| [doc2query - 2 - best_fields](notebooks/doc2query%20-%202%20-%20best_fields.ipynb) | Selective fields; default params | 0.3227 |
+| [doc2query - 2 - best_fields](notebooks/doc2query%20-%202%20-%20best_fields.ipynb) | Selective fields; tuned params | 0.3398 |
+| [doc2query - 3 - most_fields](notebooks/doc2query%20-%203%20-%20most_fields.ipynb) | Base fields; default params | 0.2866 |
+| [doc2query - 3 - most_fields](notebooks/doc2query%20-%203%20-%20most_fields.ipynb) | Base fields; tuned params | 0.3001 |
+| [doc2query - 3 - most_fields](notebooks/doc2query%20-%203%20-%20most_fields.ipynb) | Base fields + bigrams; default params | 0.2696 |
+| [doc2query - 3 - most_fields](notebooks/doc2query%20-%203%20-%20most_fields.ipynb) | Base fields + bigrams; tuned params | 0.2978 |
+| [doc2query - 3 - most_fields](notebooks/doc2query%20-%203%20-%20most_fields.ipynb) | Base fields + expansions; default params | 0.3269 |
+| [doc2query - 3 - most_fields](notebooks/doc2query%20-%203%20-%20most_fields.ipynb) | Base fields + expansions; tuned params | 0.3292 |
+| [doc2query - 3 - most_fields](notebooks/doc2query%20-%203%20-%20most_fields.ipynb) | Base fields + expansions + bigrams; default params | 0.3203 |
+| [doc2query - 3 - most_fields](notebooks/doc2query%20-%203%20-%20most_fields.ipynb) | Base fields + expansions + bigrams; tuned params | **0.3436** |
+| [doc2query - 3 - most_fields](notebooks/doc2query%20-%203%20-%20most_fields.ipynb) | Selective fields; default params | 0.3389 |
+| [doc2query - 3 - most_fields](notebooks/doc2query%20-%203%20-%20most_fields.ipynb) | Selective fields; tuned params | 0.3405 |
+| [doc2query - 4 - linear combo](notebooks/doc2query%20-%204%20-%20linear%20combo.ipynb) | Base fields; default params | 0.2866 |
+| [doc2query - 4 - linear combo](notebooks/doc2query%20-%204%20-%20linear%20combo.ipynb) | Base fields; tuned params | 0.2976 |
+| [doc2query - 4 - linear combo](notebooks/doc2query%20-%204%20-%20linear%20combo.ipynb) | Base fields + bigrams; default params | 0.2696 |
+| [doc2query - 4 - linear combo](notebooks/doc2query%20-%204%20-%20linear%20combo.ipynb) | Base fields + bigrams; tuned params | 0.2982 |
+| [doc2query - 4 - linear combo](notebooks/doc2query%20-%204%20-%20linear%20combo.ipynb) | Base fields + expansions; default params | 0.3269 |
+| [doc2query - 4 - linear combo](notebooks/doc2query%20-%204%20-%20linear%20combo.ipynb) | Base fields + expansions; tuned params | 0.3355 |
+| [doc2query - 4 - linear combo](notebooks/doc2query%20-%204%20-%20linear%20combo.ipynb) | Base fields + expansions + bigrams; default params | 0.3203 |
+| [doc2query - 4 - linear combo](notebooks/doc2query%20-%204%20-%20linear%20combo.ipynb) | Base fields + expansions + bigrams; tuned params | **0.3407** |
+| [doc2query - 4 - linear combo](notebooks/doc2query%20-%204%20-%20linear%20combo.ipynb) | Selective fields; default params | 0.3318 |
+| [doc2query - 4 - linear combo](notebooks/doc2query%20-%204%20-%20linear%20combo.ipynb) | Selective fields; tuned params | 0.3402 |
 
 ## Setup
 
@@ -109,17 +185,70 @@ bin/split-and-sample \
     data/msmarco-document-sampled-queries.10000.tsv,10000
 ```
 
-At this point, you can choose to either carry on running things from the command line or you can jump to the notebooks and walk through a more detailed set of examples. We recommend the notebooks first, then come back and use the command line scripts when you have larger scale experimentation or evaluation that you'd like to perform.
+At this point, you can choose to either carry on running things from the command line, or you can jump to the notebooks and walk through a more detailed set of examples. We recommend the notebooks first, then come back and use the command line scripts when you have larger scale experimentation or evaluation that you'd like to perform. If you need to perform the doc2query examples, please continue to the next section first.
+
+### Data - doc2query
+
+In order to perform the doc2query experiments, we need to download pre-generated expansion text (predicted queries) from and generate the index actions with a new mapping to support extra fields.
+
+We're interested in performing the plain expansion on a document level so you can also follow along on the [castorini/docTTTTTquery](https://github.com/castorini/docTTTTTquery#replicating-ms-marco-document-ranking-results-with-anserini) repo.
+
+From the above repo, use the links there to download two files:
+
+ - `predicted_queries_doc.tar.gz` - contains the actual predicted queries, per passage
+ - `msmarco_doc_passage_ids.txt` - contains the mappings of passages to documents (which we will index)
+
+Next, follow the instructions for [Per-Document Expansion](https://github.com/castorini/docTTTTTquery#per-document-expansion) and stop at the step to generate index actions using the command `convert_msmarco_doc_to_anserini.py` and make sure to output to `data/doc2query`. Before we run this command, we will want to adjust the output. Open that file and edit the top to output JSONL with the fields separated:
+
+```python
+def generate_output_dict(doc, predicted_queries):
+    doc_id, doc_url, doc_title, doc_body = doc[0], doc[1], doc[2], doc[3]
+    doc_body = doc_body.strip()
+    predicted_queries = predicted_queries.strip()
+    return {
+        '_id': doc_id,
+        '_source': {
+            'id': doc_id,
+            'url': doc_url,
+            'title': doc_title,
+            'body': doc_body,
+            'expansions': predicted_queries,
+        }
+    }
+```
+
+Now generate the action commands that we will use for indexing.
+
+```bash
+python3 convert_msmarco_doc_to_anserini.py \
+  --original_docs_path=data/msmarco/document/msmarco-docs.tsv.gz \
+  --doc_ids_path=data/doc2query/msmarco_doc_passage_ids.txt \
+  --predictions_path=data/doc2query/doc-predictions/predicted_queries_doc_sample_all.txt \
+  --output_docs_path=data/msmarco-document-index-actions.doc2query.jsonl
+```
+
+Last, you can index the fields with the mapping which includes an `expansions` field.
+
+```bash
+time bin/bulk-index \
+  --index msmarco-document.doc2query \
+  --config config/msmarco-document-index.doc2query.json \
+  data/msmarco-document-index-actions.doc2query.jsonl
+```
 
 ## Notebooks
 
-The notebooks are structued as teaching walkthroughs and contain a lot of detail on the process. We recommend going through the notebooks in the following order:
+The notebooks are structured as teaching walkthroughs and contain a lot of detail on the process. We recommend going through the notebooks in the following order:
 
 - [0 - Analyzers](notebooks/0%20-%20Analyzers.ipynb)
 - [1 - Query tuning](notebooks/1%20-%20Query%20tuning.ipynb)
 - [2 - Query tuning - best_fields](notebooks/2%20-%20Query%20tuning%20-%20best_fields.ipynb)
 - [Appendix A - BM25 tuning](notebooks/Appendix%20A%20-%20BM25%20tuning.ipynb)
 - [Appendix B - Combining queries](notebooks/Appendix%20B%20-%20Combining%20queries.ipynb)
+- [doc2query - 1 - BM25 tuning](notebooks/doc2query%20-%201%20-%20BM25%20tuning.ipynb)
+- [doc2query - 2 - best_fields](notebooks/doc2query%20-%202%20-%20best_fields.ipynb)
+- [doc2query - 3 - most_fields](notebooks/doc2query%20-%203%20-%20most_fields.ipynb)
+- [doc2query - 4 - linear combo](notebooks/doc2query%20-%204%20-%20linear%20combo.ipynb)
 
 To start the Jupyter Labs (notebooks) server, use `make jupyter`.
 
@@ -207,7 +336,7 @@ time bin/bulk-search \
   --output data/msmarco-docdev-best_fields-top100.tsv
 ```
 
-And now evalute on the new results.
+And now evaluate on the new results.
 
 ```bash
 trec_eval-9.0.7/trec_eval -c -mmap -M 100 \
diff --git a/Machine Learning/Query Optimization/bin/optimize-query b/Machine Learning/Query Optimization/bin/optimize-query
index a998c91d..46a6ea79 100755
--- a/Machine Learning/Query Optimization/bin/optimize-query	
+++ b/Machine Learning/Query Optimization/bin/optimize-query	
@@ -62,8 +62,8 @@ def main():
     print(f" - selected method: {config.selected_method}")
     print(f" - default params: {json.dumps(config.default)}")
 
-    def logger(iteration, score, params):
-        print(f"   - iteration {iteration} scored {score:.04f} with: {json.dumps(params)}")
+    def logger(iteration, total_iterations, score, _, duration, params):
+        print(f"   - iteration {iteration}/{total_iterations} ({duration:.04f}s) scored {score:.04f} with: {json.dumps(params)}")
 
     with Timer() as t:
         best_score, best_params, final_params, _ = optimize_query(
diff --git a/Machine Learning/Query Optimization/config/msmarco-document-index.doc2query.json b/Machine Learning/Query Optimization/config/msmarco-document-index.doc2query.json
new file mode 100644
index 00000000..3feb4548
--- /dev/null
+++ b/Machine Learning/Query Optimization/config/msmarco-document-index.doc2query.json	
@@ -0,0 +1,144 @@
+{
+  "settings": {
+    "index": {
+      "number_of_shards": 1,
+      "number_of_replicas": 0,
+      "similarity": {
+        "bm25-url": { "type": "BM25" },
+        "bm25-title": { "type": "BM25" },
+        "bm25-title-bigrams": { "type": "BM25" },
+        "bm25-body": { "type": "BM25" },
+        "bm25-body-bigrams": { "type": "BM25" },
+        "bm25-expansions": { "type": "BM25" },
+        "bm25-expansions-bigrams": { "type": "BM25" }
+      }
+    },
+    "analysis": {
+      "tokenizer": {
+        "non_word_pattern_tokenizer": {
+          "type": "pattern",
+          "pattern": "[\\W_]+",
+          "flags": "CASE_INSENSITIVE"
+        }
+      },
+      "filter": {
+        "english_stop": {
+          "type": "stop",
+          "stopwords": "_english_"
+        },
+        "english_stop_questions": {
+          "type": "stop",
+          "stopwords": [
+            "a", "an", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with",
+            "who", "what", "when", "where", "why", "how"
+          ]
+        },
+        "english_stop_url": {
+          "type": "stop",
+          "stopwords": [
+            "a", "an", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with",
+            "who", "what", "when", "where", "why", "how",
+            "http", "https", "www",
+            "gov", "edu",
+            "com", "net", "org", "info", "biz", "de", "ru", "icu", "uk", "xyz", "top", "cn", "nl", "online", "site", "se", "fr", "it", "eu", "wang", "club",
+            "html", "htm", "xhtml", "js", "css", "cgi", "dll", "exe", "php", "asp", "aspx", "jsp", "do", "cfm"
+          ]
+        },
+        "english_stemmer": {
+          "type": "stemmer",
+          "language": "english"
+        },
+        "english_possessive_stemmer": {
+          "type": "stemmer",
+          "language": "possessive_english"
+        },
+        "bigrammer": {
+          "type": "shingle",
+          "max_shingle_size": 2,
+          "min_shingle_size": 2,
+          "output_unigrams": "false"
+        }
+      },
+      "analyzer": {
+        "url": {
+          "tokenizer": "non_word_pattern_tokenizer",
+          "filter": [
+            "english_possessive_stemmer",
+            "lowercase",
+            "english_stop_url",
+            "english_stemmer"
+          ]
+        },
+        "english_questions": {
+          "tokenizer": "standard",
+          "filter": [
+            "english_possessive_stemmer",
+            "lowercase",
+            "english_stop_questions",
+            "english_stemmer"
+          ]
+        },
+        "english_bigrams": {
+          "tokenizer": "standard",
+          "filter": [
+            "english_possessive_stemmer",
+            "lowercase",
+            "english_stop_questions",
+            "english_stemmer",
+            "bigrammer"
+          ]
+        }
+      }
+    }
+  },
+  "mappings": {
+    "dynamic": "strict",
+    "properties": {
+      "id": {
+        "ignore_above": 1024,
+        "type": "keyword"
+      },
+      "url": {
+        "type": "text",
+        "analyzer": "url",
+        "similarity": "bm25-url"
+      },
+      "title": {
+        "type": "text",
+        "analyzer": "english_questions",
+        "similarity": "bm25-title",
+        "fields": {
+          "bigrams": {
+            "type": "text",
+            "analyzer": "english_bigrams",
+            "similarity": "bm25-title-bigrams"
+          }
+        }
+      },
+      "body": {
+        "type": "text",
+        "analyzer": "english_questions",
+        "similarity": "bm25-body",
+        "fields": {
+          "bigrams": {
+            "type": "text",
+            "analyzer": "english_bigrams",
+            "similarity": "bm25-body-bigrams"
+          }
+        }
+      },
+      "expansions": {
+        "type": "text",
+        "analyzer": "english_questions",
+        "similarity": "bm25-expansions",
+        "fields": {
+          "bigrams": {
+            "type": "text",
+            "analyzer": "english_bigrams",
+            "similarity": "bm25-expansions-bigrams"
+          }
+        }
+      }
+    }
+  }
+}
diff --git a/Machine Learning/Query Optimization/config/msmarco-document-templates.doc2query.json b/Machine Learning/Query Optimization/config/msmarco-document-templates.doc2query.json
new file mode 100644
index 00000000..2dc8f9cb
--- /dev/null
+++ b/Machine Learning/Query Optimization/config/msmarco-document-templates.doc2query.json	
@@ -0,0 +1,49 @@
+[
+  {
+    "id": "best_fields",
+    "template": {
+      "lang": "mustache",
+      "source": {
+        "query": {
+          "multi_match": {
+            "type": "best_fields",
+            "query": "{{query_string}}",
+            "tie_breaker": "{{tie_breaker}}",
+            "fields": [
+              "url^{{url|boost}}",
+              "title^{{title|boost}}",
+              "title.bigrams^{{title_bigrams|boost}}",
+              "body^{{body|boost}}",
+              "body.bigrams^{{body_bigrams|boost}}",
+              "expansions^{{expansions|boost}}",
+              "expansions.bigrams^{{expansions_bigrams|boost}}"
+            ]
+          }
+        }
+      }
+    }
+  },
+  {
+    "id": "most_fields",
+    "template": {
+      "lang": "mustache",
+      "source": {
+        "query": {
+          "multi_match": {
+            "type": "most_fields",
+            "query": "{{query_string}}",
+            "fields": [
+              "url^{{url|boost}}",
+              "title^{{title|boost}}",
+              "title.bigrams^{{title_bigrams|boost}}",
+              "body^{{body|boost}}",
+              "body.bigrams^{{body_bigrams|boost}}",
+              "expansions^{{expansions|boost}}",
+              "expansions.bigrams^{{expansions_bigrams|boost}}"
+            ]
+          }
+        }
+      }
+    }
+  }
+]
diff --git a/Machine Learning/Query Optimization/config/msmarco-document-templates.json b/Machine Learning/Query Optimization/config/msmarco-document-templates.json
index 1b42ba50..44b70d53 100644
--- a/Machine Learning/Query Optimization/config/msmarco-document-templates.json	
+++ b/Machine Learning/Query Optimization/config/msmarco-document-templates.json	
@@ -41,6 +41,25 @@
       }
     }
   },
+  {
+    "id": "most_fields",
+    "template": {
+      "lang": "mustache",
+      "source": {
+        "query": {
+          "multi_match": {
+            "type": "most_fields",
+            "query": "{{query_string}}",
+            "fields": [
+              "url^{{url|boost}}",
+              "title^{{title|boost}}",
+              "body^{{body|boost}}"
+            ]
+          }
+        }
+      }
+    }
+  },
   {
     "id": "combined_matches",
     "template": {
diff --git a/Machine Learning/Query Optimization/notebooks/Appendix C - most_fields.ipynb b/Machine Learning/Query Optimization/notebooks/Appendix C - most_fields.ipynb
new file mode 100644
index 00000000..616e31d6
--- /dev/null
+++ b/Machine Learning/Query Optimization/notebooks/Appendix C - most_fields.ipynb	
@@ -0,0 +1,268 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tuning a `multi_match` `best_fields` query with document expansion by T5 query prediction"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import importlib\n",
+    "import os\n",
+    "import sys\n",
+    "\n",
+    "from elasticsearch import Elasticsearch\n",
+    "from skopt.plots import plot_objective"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# project library\n",
+    "sys.path.insert(0, os.path.abspath('..'))\n",
+    "\n",
+    "import qopt\n",
+    "importlib.reload(qopt)\n",
+    "\n",
+    "from qopt.notebooks import evaluate_mrr100_dev, optimize_query_mrr100\n",
+    "from qopt.optimize import Config"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use a local Elasticsearch or Cloud instance (https://cloud.elastic.co/)\n",
+    "es = Elasticsearch('http://localhost:9200')\n",
+    "\n",
+    "# set the parallelization parameter `max_concurrent_searches` for the Rank Evaluation API calls\n",
+    "max_concurrent_searches = 10\n",
+    "\n",
+    "index = 'msmarco-document'\n",
+    "template_id = 'most_fields'"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Baseline evaluation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2505\n",
+      "CPU times: user 1.62 s, sys: 432 ms, total: 2.06 s\n",
+      "Wall time: 2min 48s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev(es, max_concurrent_searches, index, template_id,\n",
+    "    params={\n",
+    "        'url|boost': 1.0,\n",
+    "        'title|boost': 1.0,\n",
+    "        'body|boost': 1.0,\n",
+    "    })"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Query tuning"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " - iteration 1 scored 0.2050 with: {'url|boost': 9.203162802551738, 'title|boost': 6.579267617383428, 'body|boost': 6.18686851913847}\n",
+      " - iteration 2 scored 0.1719 with: {'url|boost': 9.990535987925739, 'title|boost': 5.65742859906887, 'body|boost': 1.7320190682727934}\n",
+      " - iteration 3 scored 0.2413 with: {'url|boost': 2.7212542212191444, 'title|boost': 2.778548730502019, 'body|boost': 4.797412947282158}\n",
+      " - iteration 4 scored 0.2262 with: {'url|boost': 6.10997646538377, 'title|boost': 6.839796438246055, 'body|boost': 6.873786544022141}\n",
+      " - iteration 5 scored 0.2429 with: {'url|boost': 3.3287045732527414, 'title|boost': 1.760489564268756, 'body|boost': 7.3138660889722935}\n",
+      " - iteration 6 scored 0.2667 with: {'url|boost': 0.9181467919482657, 'title|boost': 1.576224508678923, 'body|boost': 9.512391370677935}\n",
+      " - iteration 7 scored 0.2699 with: {'url|boost': 0.6440712262305793, 'title|boost': 6.128664366080648, 'body|boost': 8.94242029457105}\n",
+      " - iteration 8 scored 0.1651 with: {'url|boost': 7.459209945717692, 'title|boost': 3.7612083758613677, 'body|boost': 0.5486355145573841}\n",
+      " - iteration 9 scored 0.1756 with: {'url|boost': 8.13777747015532, 'title|boost': 2.239565850681535, 'body|boost': 1.6551334348110516}\n",
+      " - iteration 10 scored 0.1929 with: {'url|boost': 9.187267911473018, 'title|boost': 5.97988628281441, 'body|boost': 4.105717674370127}\n",
+      " - iteration 11 scored 0.2032 with: {'url|boost': 7.247133370962439, 'title|boost': 3.460986254723903, 'body|boost': 5.24162143909437}\n",
+      " - iteration 12 scored 0.2101 with: {'url|boost': 1.314568059167809, 'title|boost': 5.073340387907872, 'body|boost': 0.27290923160948505}\n",
+      " - iteration 13 scored 0.2397 with: {'url|boost': 5.536533542167003, 'title|boost': 6.080319513962965, 'body|boost': 9.000265874781405}\n",
+      " - iteration 14 scored 0.2606 with: {'url|boost': 1.0009080281362728, 'title|boost': 7.658065813757176, 'body|boost': 6.020989439478331}\n",
+      " - iteration 15 scored 0.2542 with: {'url|boost': 2.9604428858267835, 'title|boost': 7.263460257875321, 'body|boost': 8.492700242325785}\n",
+      " - iteration 16 scored 0.2613 with: {'url|boost': 2.0928479441025267, 'title|boost': 8.179608196584597, 'body|boost': 9.062451451712127}\n",
+      " - iteration 17 scored 0.2156 with: {'url|boost': 0.5468061974885242, 'title|boost': 4.7733437267072425, 'body|boost': 0.21460625612368836}\n",
+      " - iteration 18 scored 0.2187 with: {'url|boost': 7.069937371098703, 'title|boost': 4.808054013634862, 'body|boost': 7.142904636248555}\n",
+      " - iteration 19 scored 0.2289 with: {'url|boost': 6.602693879049043, 'title|boost': 5.036368538539834, 'body|boost': 8.76800116383509}\n",
+      " - iteration 20 scored 0.2043 with: {'url|boost': 4.0248682898955925, 'title|boost': 2.7917630405506673, 'body|boost': 2.597799134392505}\n",
+      " - iteration 21 scored 0.2676 with: {'url|boost': 0.0, 'title|boost': 10.0, 'body|boost': 10.0}\n",
+      " - iteration 22 scored 0.2633 with: {'url|boost': 0.0, 'title|boost': 10.0, 'body|boost': 7.7799006405551605}\n",
+      " - iteration 23 scored 0.2292 with: {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 6.86390978658188}\n",
+      " - iteration 24 scored 0.2759 with: {'url|boost': 0.0, 'title|boost': 3.3416552649145714, 'body|boost': 9.5487649885748}\n",
+      " - iteration 25 scored 0.2759 with: {'url|boost': 0.0, 'title|boost': 4.4308440277049534, 'body|boost': 6.814960021809229}\n",
+      " - iteration 26 scored 0.2106 with: {'url|boost': 0.23238300916596524, 'title|boost': 9.636283825132034, 'body|boost': 0.08862643366223094}\n",
+      " - iteration 27 scored 0.2224 with: {'url|boost': 10.0, 'title|boost': 10.0, 'body|boost': 10.0}\n",
+      " - iteration 28 scored 0.2750 with: {'url|boost': 0.0, 'title|boost': 3.895101311574409, 'body|boost': 8.140949786142993}\n",
+      " - iteration 29 scored 0.2747 with: {'url|boost': 0.0, 'title|boost': 4.3941660885407, 'body|boost': 10.0}\n",
+      " - iteration 30 scored 0.2120 with: {'url|boost': 8.895553012382269, 'title|boost': 0.08659464012671704, 'body|boost': 9.97776707806867}\n",
+      " - iteration 31 scored 0.2699 with: {'url|boost': 1.6938918872260813, 'title|boost': 3.4799119722973177, 'body|boost': 9.868921869054745}\n",
+      " - iteration 32 scored 0.1662 with: {'url|boost': 9.842935544067439, 'title|boost': 9.97113977526075, 'body|boost': 0.3848939180868772}\n",
+      " - iteration 33 scored 0.2722 with: {'url|boost': 0.10251223241787401, 'title|boost': 7.540607799231988, 'body|boost': 9.839491238708955}\n",
+      " - iteration 34 scored 0.2601 with: {'url|boost': 0.09652264641929366, 'title|boost': 5.822594193802138, 'body|boost': 4.363280088202509}\n",
+      " - iteration 35 scored 0.2767 with: {'url|boost': 0.0, 'title|boost': 2.8955868490965573, 'body|boost': 10.0}\n",
+      " - iteration 36 scored 0.2738 with: {'url|boost': 0.0, 'title|boost': 5.3074346171992275, 'body|boost': 7.22931078547814}\n",
+      " - iteration 37 scored 0.2607 with: {'url|boost': 0.07775018592854678, 'title|boost': 0.12132089276712502, 'body|boost': 0.29710854619357746}\n",
+      " - iteration 38 scored 0.2496 with: {'url|boost': 0.05502289064468369, 'title|boost': 9.703260434575421, 'body|boost': 4.667554148483838}\n",
+      " - iteration 39 scored 0.2741 with: {'url|boost': 0.0, 'title|boost': 3.573022230041076, 'body|boost': 6.626753747239223}\n",
+      " - iteration 40 scored 0.2498 with: {'url|boost': 4.207655568072854, 'title|boost': 9.91888699833704, 'body|boost': 9.869983214919792}\n",
+      " - iteration 41 scored 0.2459 with: {'url|boost': 0.10348720779213007, 'title|boost': 0.11337301144142554, 'body|boost': 2.589790215135414}\n",
+      " - iteration 42 scored 0.2776 with: {'url|boost': 0.0, 'title|boost': 3.326696098756645, 'body|boost': 10.0}\n",
+      " - iteration 43 scored 0.2765 with: {'url|boost': 0.0, 'title|boost': 2.8877479481042316, 'body|boost': 10.0}\n",
+      " - iteration 44 scored 0.2397 with: {'url|boost': 0.24010524192275123, 'title|boost': 0.14987488699649834, 'body|boost': 9.981833147860904}\n",
+      " - iteration 45 scored 0.1544 with: {'url|boost': 6.610089293709387, 'title|boost': 0.025523238093470017, 'body|boost': 0.20293519702985766}\n",
+      " - iteration 46 scored 0.2777 with: {'url|boost': 0.4328055926726183, 'title|boost': 3.132994546113439, 'body|boost': 10.0}\n",
+      " - iteration 47 scored 0.2775 with: {'url|boost': 0.28842310661961157, 'title|boost': 3.3986622763336225, 'body|boost': 10.0}\n",
+      " - iteration 48 scored 0.2778 with: {'url|boost': 0.2830490684453682, 'title|boost': 3.2066433450511065, 'body|boost': 10.0}\n",
+      " - iteration 49 scored 0.2778 with: {'url|boost': 0.28136575467352365, 'title|boost': 3.2090870417854616, 'body|boost': 10.0}\n",
+      " - iteration 50 scored 0.2303 with: {'url|boost': 3.9439391428640103, 'title|boost': 9.995120871879848, 'body|boost': 4.439456677101027}\n",
+      "Best score: 0.2778\n",
+      "Best params: {'url|boost': 0.2830490684453682, 'title|boost': 3.2066433450511065, 'body|boost': 10.0}\n",
+      "Final params: {'url|boost': 0.2830490684453682, 'title|boost': 3.2066433450511065, 'body|boost': 10.0}\n",
+      "\n",
+      "CPU times: user 1min, sys: 32.9 s, total: 1min 33s\n",
+      "Wall time: 48min 26s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_, _, final_params_most_fields, metadata_most_fields = optimize_query_mrr100(es, max_concurrent_searches, index, template_id,\n",
+    "    config_space=Config.parse({\n",
+    "        'method': 'bayesian',\n",
+    "        'num_iterations': 50,\n",
+    "        'num_initial_points': 20,\n",
+    "        'space': {\n",
+    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body|boost': { 'low': 0.0, 'high': 10.0 }\n",
+    "        }\n",
+    "    }))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 9 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plot_objective(metadata_most_fields, sample_source='result')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3050\n",
+      "CPU times: user 1.81 s, sys: 571 ms, total: 2.38 s\n",
+      "Wall time: 6min 13s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev(es, max_concurrent_searches, index, template_id, params=final_params_most_fields)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Machine Learning/Query Optimization/notebooks/doc2query - 1 - BM25 tuning.ipynb b/Machine Learning/Query Optimization/notebooks/doc2query - 1 - BM25 tuning.ipynb
new file mode 100644
index 00000000..b36eb5b6
--- /dev/null
+++ b/Machine Learning/Query Optimization/notebooks/doc2query - 1 - BM25 tuning.ipynb	
@@ -0,0 +1,1103 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tuning BM25 parameters\n",
+    "\n",
+    "We tune BM25 parameters on a per-field basis including doc2query expansions and bigrammed text fields. These values are used later when optimizing more complex queries."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import importlib\n",
+    "import os\n",
+    "import sys\n",
+    "\n",
+    "from copy import deepcopy\n",
+    "from elasticsearch import Elasticsearch\n",
+    "from skopt.plots import plot_objective"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# project library\n",
+    "sys.path.insert(0, os.path.abspath('..'))\n",
+    "\n",
+    "import qopt\n",
+    "importlib.reload(qopt)\n",
+    "\n",
+    "from qopt.notebooks import evaluate_mrr100_dev_templated, optimize_bm25_mrr100_templated, set_bm25_params\n",
+    "from qopt.optimize import Config, set_bm25_parameters"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# use a local Elasticsearch or Cloud instance (https://cloud.elastic.co/)\n",
+    "es = Elasticsearch('http://localhost:9200')\n",
+    "\n",
+    "# set the parallelization parameter `max_concurrent_searches` for the Rank Evaluation API calls\n",
+    "max_concurrent_searches = 10\n",
+    "\n",
+    "index = 'msmarco-document.doc2query'\n",
+    "template_id = 'query'\n",
+    "\n",
+    "# no query params\n",
+    "query_params = {}\n",
+    "\n",
+    "# field names\n",
+    "field_names = [\n",
+    "    'url',\n",
+    "    'title', 'title.bigrams',\n",
+    "    'body', 'body.bigrams',\n",
+    "    'expansions', 'expansions.bigrams'\n",
+    "]\n",
+    "similarity_names = [f\"bm25-{x.replace('.', '-')}\" for x in field_names]\n",
+    "similarity_name_by_field = { field: similarity for field, similarity in zip(field_names, similarity_names) }\n",
+    "\n",
+    "# default Elasticsearch BM25 params\n",
+    "default_bm25_params = {'k1': 1.2, 'b': 0.75}\n",
+    "\n",
+    "# base template for tuning\n",
+    "base_templates = [{\n",
+    "    \"id\": template_id,\n",
+    "    \"template\": {\n",
+    "        \"lang\": \"mustache\",\n",
+    "        \"source\": { \"query\": {} }\n",
+    "    }\n",
+    "}]\n",
+    "\n",
+    "def reset_all():\n",
+    "    for similarity in similarity_names:\n",
+    "        set_bm25_parameters(es, index, name=similarity, **default_bm25_params)\n",
+    "\n",
+    "def for_all_fields(message, fn, existing_results=None):\n",
+    "    _results = {}\n",
+    "    for field, similarity in zip(field_names, similarity_names):\n",
+    "        print(f\"{message}: {field}\")\n",
+    "        if not existing_results:\n",
+    "            params = default_bm25_params\n",
+    "        else:\n",
+    "            params = existing_results[field][1]\n",
+    "        set_bm25_parameters(es, index, name=similarity, **params)\n",
+    "\n",
+    "        _templates = deepcopy(base_templates)\n",
+    "        _templates[0]['template']['source']['query']['match'] = { field: { \"query\": \"{{query_string}}\" } }\n",
+    "        _results[field] = fn(_templates, similarity)\n",
+    "    return _results"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Baseline evaluation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dev set evaluation: url\n",
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2094\n",
+      "Dev set evaluation: title\n",
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2298\n",
+      "Dev set evaluation: title.bigrams\n",
+      "Evaluation with: MRR@100\n",
+      "Score: 0.1295\n",
+      "Dev set evaluation: body\n",
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2568\n",
+      "Dev set evaluation: body.bigrams\n",
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2015\n",
+      "Dev set evaluation: expansions\n",
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3081\n",
+      "Dev set evaluation: expansions.bigrams\n",
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2837\n",
+      "CPU times: user 15.5 s, sys: 4.3 s, total: 19.8 s\n",
+      "Wall time: 13min 45s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = for_all_fields(\n",
+    "    \"Dev set evaluation\",\n",
+    "    fn=lambda templates, similarity: evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, templates, template_id, query_params),\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Optimization"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimization: url\n",
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 2/40, took 0:00:41 (remains: 0:26:15)\n",
+      "   | 0.2013 (best: 0.2013) - {'k1': 0.9, 'b': 0.4}\n",
+      " > iteration 3/40, took 0:00:07 (remains: 0:04:37)\n",
+      "   | 0.1628 (best: 0.2013) - {'k1': 4.852865942208587, 'b': 0.7163140168823129}\n",
+      " > iteration 4/40, took 0:00:15 (remains: 0:09:32)\n",
+      "   | 0.1750 (best: 0.2013) - {'k1': 3.3057280864331884, 'b': 0.620864753693963}\n",
+      " > iteration 5/40, took 0:00:08 (remains: 0:04:47)\n",
+      "   | 0.1724 (best: 0.2013) - {'k1': 3.35005017291138, 'b': 0.7072841815045436}\n",
+      " > iteration 6/40, took 0:00:13 (remains: 0:07:54)\n",
+      "   | 0.2030 (best: 0.2030) - {'k1': 0.7324371094757943, 'b': 0.4905334540408872}\n",
+      " > iteration 7/40, took 0:00:15 (remains: 0:08:33)\n",
+      "   | 0.1719 (best: 0.2030) - {'k1': 3.5708710761828892, 'b': 0.7006802871661968}\n",
+      " > iteration 8/40, took 0:00:08 (remains: 0:04:31)\n",
+      "   | 0.1751 (best: 0.2030) - {'k1': 3.1459953179531936, 'b': 0.6644483017155304}\n",
+      " > iteration 9/40, took 0:00:07 (remains: 0:03:48)\n",
+      "   | 0.1756 (best: 0.2030) - {'k1': 2.4753438798505476, 'b': 0.8367447950413447}\n",
+      " > iteration 10/40, took 0:00:06 (remains: 0:03:26)\n",
+      "   | 0.1624 (best: 0.2030) - {'k1': 4.671709818974952, 'b': 0.3527892783552999}\n",
+      " > iteration 11/40, took 0:00:06 (remains: 0:03:21)\n",
+      "   | 0.1990 (best: 0.2030) - {'k1': 1.1968389341458476, 'b': 0.4895734585717294}\n",
+      " > iteration 12/40, took 0:00:15 (remains: 0:07:16)\n",
+      "   | 0.1636 (best: 0.2030) - {'k1': 4.913542853060431, 'b': 0.603547843201189}\n",
+      " > iteration 13/40, took 0:00:14 (remains: 0:06:43)\n",
+      "   | 0.1689 (best: 0.2030) - {'k1': 4.181292149148931, 'b': 0.6189522676467809}\n",
+      " > iteration 14/40, took 0:00:08 (remains: 0:03:39)\n",
+      "   | 0.1658 (best: 0.2030) - {'k1': 4.153865029254638, 'b': 0.4242239625075616}\n",
+      " > iteration 15/40, took 0:00:07 (remains: 0:03:04)\n",
+      "   | 0.1998 (best: 0.2030) - {'k1': 0.4231091839742113, 'b': 0.31914641385880793}\n",
+      " > iteration 16/40, took 0:00:08 (remains: 0:03:18)\n",
+      "   | 0.2083 (best: 0.2083) - {'k1': 0.2587669775415236, 'b': 0.7864281246686742}\n",
+      " > iteration 17/40, took 0:00:06 (remains: 0:02:39)\n",
+      "   | 0.1794 (best: 0.2083) - {'k1': 2.9568961959755837, 'b': 0.6070610249357161}\n",
+      " > iteration 18/40, took 0:00:15 (remains: 0:05:49)\n",
+      "   | 0.1830 (best: 0.2083) - {'k1': 2.110215356494147, 'b': 0.7940529310982194}\n",
+      " > iteration 19/40, took 0:00:14 (remains: 0:05:13)\n",
+      "   | 0.1614 (best: 0.2083) - {'k1': 4.525307161914916, 'b': 0.32187810226737695}\n",
+      " > iteration 20/40, took 0:00:08 (remains: 0:02:50)\n",
+      "   | 0.1908 (best: 0.2083) - {'k1': 1.814371494473195, 'b': 0.5849493504579577}\n",
+      " > iteration 21/40, took 0:00:07 (remains: 0:02:17)\n",
+      "   | 0.1787 (best: 0.2083) - {'k1': 3.0289492580971773, 'b': 0.6027248996511512}\n",
+      " > iteration 22/40, took 0:00:07 (remains: 0:02:16)\n",
+      "   | 0.1772 (best: 0.2083) - {'k1': 3.2347183253159635, 'b': 0.573165334659123}\n",
+      " > iteration 23/40, took 0:00:10 (remains: 0:02:56)\n",
+      "   | 0.1891 (best: 0.2083) - {'k1': 0.0, 'b': 1.0}\n",
+      " > iteration 24/40, took 0:00:16 (remains: 0:04:30)\n",
+      "   | 0.1891 (best: 0.2083) - {'k1': 0.0, 'b': 0.6525552291196847}\n",
+      " > iteration 25/40, took 0:00:10 (remains: 0:02:43)\n",
+      "   | 0.2038 (best: 0.2083) - {'k1': 0.5445581137299984, 'b': 1.0}\n",
+      " > iteration 26/40, took 0:00:14 (remains: 0:03:27)\n",
+      "   | 0.2074 (best: 0.2083) - {'k1': 0.42896785138412097, 'b': 0.7274389316939653}\n",
+      " > iteration 27/40, took 0:00:15 (remains: 0:03:21)\n",
+      "   | 0.1835 (best: 0.2083) - {'k1': 2.2240198776739257, 'b': 0.3004877493851064}\n",
+      " > iteration 28/40, took 0:00:16 (remains: 0:03:20)\n",
+      "   | 0.2083 (best: 0.2083) - {'k1': 0.33066956222950633, 'b': 0.9589101032169087}\n",
+      " > iteration 29/40, took 0:00:13 (remains: 0:02:31)\n",
+      "   | 0.2079 (best: 0.2083) - {'k1': 0.333743364580656, 'b': 0.8245485409865057}\n",
+      " > iteration 30/40, took 0:00:09 (remains: 0:01:36)\n",
+      "   | 0.1787 (best: 0.2083) - {'k1': 1.5230302210278877, 'b': 0.9999411859402323}\n",
+      " > iteration 31/40, took 0:00:11 (remains: 0:01:44)\n",
+      "   | 0.1975 (best: 0.2083) - {'k1': 0.8963291170553956, 'b': 0.9988349011251734}\n",
+      " > iteration 32/40, took 0:00:08 (remains: 0:01:09)\n",
+      "   | 0.1922 (best: 0.2083) - {'k1': 1.5041740852989363, 'b': 0.30044487185295804}\n",
+      " > iteration 33/40, took 0:00:08 (remains: 0:00:59)\n",
+      "   | 0.1781 (best: 0.2083) - {'k1': 2.6737262312862193, 'b': 0.3008144002653102}\n",
+      " > iteration 34/40, took 0:00:16 (remains: 0:01:39)\n",
+      "   | 0.1986 (best: 0.2083) - {'k1': 0.16260705243883958, 'b': 0.300080422886911}\n",
+      " > iteration 35/40, took 0:00:15 (remains: 0:01:16)\n",
+      "   | 0.1356 (best: 0.2083) - {'k1': 3.8937792654083836, 'b': 0.9946153738066268}\n",
+      " > iteration 36/40, took 0:00:08 (remains: 0:00:34)\n",
+      "   | 0.2004 (best: 0.2083) - {'k1': 0.030876903736541724, 'b': 0.4192366685818526}\n",
+      " > iteration 37/40, took 0:00:07 (remains: 0:00:23)\n",
+      "   | 0.2048 (best: 0.2083) - {'k1': 0.5792771144646712, 'b': 0.852826726403048}\n",
+      " > iteration 38/40, took 0:00:08 (remains: 0:00:16)\n",
+      "   | 0.2027 (best: 0.2083) - {'k1': 0.9146591706465236, 'b': 0.6270157710030677}\n",
+      " > iteration 39/40, took 0:00:07 (remains: 0:00:07)\n",
+      "   | 0.2031 (best: 0.2083) - {'k1': 0.005557574700376656, 'b': 0.8689003087855947}\n",
+      " > iteration 40/40, took 0:00:07 (remains: 0:00:00)\n",
+      "   | 0.1891 (best: 0.2083) - {'k1': 2.1607249105800825, 'b': 0.4474375230537646}\n",
+      "Best score: 0.2083\n",
+      "Best params: {'k1': 0.33066956222950633, 'b': 0.9589101032169087}\n",
+      "Final params: {'k1': 0.33066956222950633, 'b': 0.9589101032169087}\n",
+      "\n",
+      "Optimization: title\n",
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 2/40, took 0:00:33 (remains: 0:21:19)\n",
+      "   | 0.2057 (best: 0.2057) - {'k1': 0.9, 'b': 0.4}\n",
+      " > iteration 3/40, took 0:00:08 (remains: 0:05:10)\n",
+      "   | 0.2013 (best: 0.2057) - {'k1': 1.1748589885736636, 'b': 0.9132539021439572}\n",
+      " > iteration 4/40, took 0:00:07 (remains: 0:04:37)\n",
+      "   | 0.1997 (best: 0.2057) - {'k1': 1.9879389715000173, 'b': 0.7732671407237801}\n",
+      " > iteration 5/40, took 0:00:15 (remains: 0:09:11)\n",
+      "   | 0.2084 (best: 0.2084) - {'k1': 0.8441501969059302, 'b': 0.6105862144218961}\n",
+      " > iteration 6/40, took 0:00:15 (remains: 0:09:02)\n",
+      "   | 0.1988 (best: 0.2084) - {'k1': 2.9656606494021496, 'b': 0.5818365515267244}\n",
+      " > iteration 7/40, took 0:00:15 (remains: 0:08:41)\n",
+      "   | 0.2097 (best: 0.2097) - {'k1': 0.5394402229577445, 'b': 0.609940328510642}\n",
+      " > iteration 8/40, took 0:00:08 (remains: 0:04:30)\n",
+      "   | 0.1938 (best: 0.2097) - {'k1': 2.5467946510777932, 'b': 0.8411864249300398}\n",
+      " > iteration 9/40, took 0:00:15 (remains: 0:08:07)\n",
+      "   | 0.1927 (best: 0.2097) - {'k1': 4.340937675019917, 'b': 0.4327286681773639}\n",
+      " > iteration 10/40, took 0:00:15 (remains: 0:07:37)\n",
+      "   | 0.2067 (best: 0.2097) - {'k1': 0.7622163701183416, 'b': 0.42559232845537054}\n",
+      " > iteration 11/40, took 0:00:15 (remains: 0:07:18)\n",
+      "   | 0.1932 (best: 0.2097) - {'k1': 4.762914359215794, 'b': 0.6521941552774648}\n",
+      " > iteration 12/40, took 0:00:17 (remains: 0:08:02)\n",
+      "   | 0.1881 (best: 0.2097) - {'k1': 4.9012586332295, 'b': 0.37372226999536384}\n",
+      " > iteration 13/40, took 0:00:15 (remains: 0:07:10)\n",
+      "   | 0.1858 (best: 0.2097) - {'k1': 4.059493057115825, 'b': 0.8032412743525119}\n",
+      " > iteration 14/40, took 0:00:15 (remains: 0:06:51)\n",
+      "   | 0.2018 (best: 0.2097) - {'k1': 1.9096253656789985, 'b': 0.6421035935198338}\n",
+      " > iteration 15/40, took 0:00:15 (remains: 0:06:32)\n",
+      "   | 0.2088 (best: 0.2097) - {'k1': 0.6527419484945919, 'b': 0.687848664642176}\n",
+      " > iteration 16/40, took 0:00:15 (remains: 0:06:09)\n",
+      "   | 0.1917 (best: 0.2097) - {'k1': 3.3247899643662224, 'b': 0.3118466922603153}\n",
+      " > iteration 17/40, took 0:00:15 (remains: 0:06:04)\n",
+      "   | 0.1989 (best: 0.2097) - {'k1': 3.0920281290398686, 'b': 0.49872039649902666}\n",
+      " > iteration 18/40, took 0:00:15 (remains: 0:05:48)\n",
+      "   | 0.1909 (best: 0.2097) - {'k1': 4.303853533424812, 'b': 0.6741142491923221}\n",
+      " > iteration 19/40, took 0:00:16 (remains: 0:05:38)\n",
+      "   | 0.2069 (best: 0.2097) - {'k1': 0.9210141131303741, 'b': 0.7583806104451822}\n",
+      " > iteration 20/40, took 0:00:14 (remains: 0:04:52)\n",
+      "   | 0.2093 (best: 0.2097) - {'k1': 0.49530937617257587, 'b': 0.6720165236319717}\n",
+      " > iteration 21/40, took 0:00:11 (remains: 0:03:39)\n",
+      "   | 0.2070 (best: 0.2097) - {'k1': 0.9738678690014548, 'b': 0.49028146308385134}\n",
+      " > iteration 22/40, took 0:00:15 (remains: 0:04:40)\n",
+      "   | 0.2062 (best: 0.2097) - {'k1': 0.8216383607665718, 'b': 0.8342228554672422}\n",
+      " > iteration 23/40, took 0:00:11 (remains: 0:03:12)\n",
+      "   | 0.1574 (best: 0.2097) - {'k1': 0.0, 'b': 0.5571720761715984}\n",
+      " > iteration 24/40, took 0:00:07 (remains: 0:02:04)\n",
+      "   | 0.2002 (best: 0.2097) - {'k1': 1.510163459708175, 'b': 0.3}\n",
+      " > iteration 25/40, took 0:00:16 (remains: 0:04:03)\n",
+      "   | 0.1977 (best: 0.2097) - {'k1': 2.2326187806439055, 'b': 0.3}\n",
+      " > iteration 26/40, took 0:00:08 (remains: 0:02:00)\n",
+      "   | 0.2070 (best: 0.2097) - {'k1': 0.5854617210397388, 'b': 1.0}\n",
+      " > iteration 27/40, took 0:00:17 (remains: 0:03:42)\n",
+      "   | 0.1670 (best: 0.2097) - {'k1': 3.2036128313773737, 'b': 1.0}\n",
+      " > iteration 28/40, took 0:00:08 (remains: 0:01:36)\n",
+      "   | 0.1932 (best: 0.2097) - {'k1': 2.787910709110551, 'b': 0.3}\n",
+      " > iteration 29/40, took 0:00:16 (remains: 0:03:00)\n",
+      "   | 0.1444 (best: 0.2097) - {'k1': 5.0, 'b': 1.0}\n",
+      " > iteration 30/40, took 0:00:18 (remains: 0:03:05)\n",
+      "   | 0.1920 (best: 0.2097) - {'k1': 1.6229187073411113, 'b': 1.0}\n",
+      " > iteration 31/40, took 0:00:15 (remains: 0:02:21)\n",
+      "   | 0.2098 (best: 0.2098) - {'k1': 0.34885436112727763, 'b': 1.0}\n",
+      " > iteration 32/40, took 0:00:07 (remains: 0:01:02)\n",
+      "   | 0.1873 (best: 0.2098) - {'k1': 0.0007041819042899323, 'b': 0.9812777446717962}\n",
+      " > iteration 33/40, took 0:00:07 (remains: 0:00:53)\n",
+      "   | 0.1969 (best: 0.2098) - {'k1': 3.7071625782091244, 'b': 0.5477159370793313}\n",
+      " > iteration 34/40, took 0:00:07 (remains: 0:00:43)\n",
+      "   | 0.2023 (best: 0.2098) - {'k1': 2.393067374353989, 'b': 0.5615361710828131}\n",
+      " > iteration 35/40, took 0:00:07 (remains: 0:00:35)\n",
+      "   | 0.2091 (best: 0.2098) - {'k1': 0.4239682137687037, 'b': 0.9091318103017136}\n",
+      " > iteration 36/40, took 0:00:15 (remains: 0:01:02)\n",
+      "   | 0.2037 (best: 0.2098) - {'k1': 0.43375382153177716, 'b': 0.30059339442632116}\n",
+      " > iteration 37/40, took 0:00:15 (remains: 0:00:46)\n",
+      "   | 0.1871 (best: 0.2098) - {'k1': 3.8948829269785286, 'b': 0.3043451360950484}\n",
+      " > iteration 38/40, took 0:00:11 (remains: 0:00:22)\n",
+      "   | 0.1497 (best: 0.2098) - {'k1': 4.502637360902105, 'b': 0.9983199374041949}\n",
+      " > iteration 39/40, took 0:00:08 (remains: 0:00:08)\n",
+      "   | 0.1807 (best: 0.2098) - {'k1': 2.2391456638802927, 'b': 0.9982641153932903}\n",
+      " > iteration 40/40, took 0:00:16 (remains: 0:00:00)\n",
+      "   | 0.2067 (best: 0.2098) - {'k1': 1.5047246837407877, 'b': 0.5869483045547044}\n",
+      "Best score: 0.2098\n",
+      "Best params: {'k1': 0.34885436112727763, 'b': 1.0}\n",
+      "Final params: {'k1': 0.34885436112727763, 'b': 1.0}\n",
+      "\n",
+      "Optimization: title.bigrams\n",
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 2/40, took 0:00:21 (remains: 0:13:54)\n",
+      "   | 0.1167 (best: 0.1201) - {'k1': 0.9, 'b': 0.4}\n",
+      " > iteration 3/40, took 0:00:12 (remains: 0:07:58)\n",
+      "   | 0.1208 (best: 0.1208) - {'k1': 4.485479092779253, 'b': 0.5672953668155551}\n",
+      " > iteration 4/40, took 0:00:08 (remains: 0:04:57)\n",
+      "   | 0.1200 (best: 0.1208) - {'k1': 3.115157504694711, 'b': 0.8948497573103282}\n",
+      " > iteration 5/40, took 0:00:06 (remains: 0:03:56)\n",
+      "   | 0.1203 (best: 0.1208) - {'k1': 3.764383922067605, 'b': 0.7831343603525401}\n",
+      " > iteration 6/40, took 0:00:14 (remains: 0:08:22)\n",
+      "   | 0.1199 (best: 0.1208) - {'k1': 1.983412664520356, 'b': 0.6084603938837267}\n",
+      " > iteration 7/40, took 0:00:07 (remains: 0:04:10)\n",
+      "   | 0.1204 (best: 0.1208) - {'k1': 3.557199287432036, 'b': 0.5511551917857684}\n",
+      " > iteration 8/40, took 0:00:08 (remains: 0:04:25)\n",
+      "   | 0.1177 (best: 0.1208) - {'k1': 3.8230851623296305, 'b': 0.38510989487713687}\n",
+      " > iteration 9/40, took 0:00:06 (remains: 0:03:29)\n",
+      "   | 0.1198 (best: 0.1208) - {'k1': 3.6696731045840187, 'b': 0.9002532860013845}\n",
+      " > iteration 10/40, took 0:00:13 (remains: 0:06:49)\n",
+      "   | 0.1192 (best: 0.1208) - {'k1': 1.433999540363524, 'b': 0.3873226683873749}\n",
+      " > iteration 11/40, took 0:00:14 (remains: 0:07:04)\n",
+      "   | 0.1223 (best: 0.1223) - {'k1': 2.3088625061271766, 'b': 0.8325953337195824}\n",
+      " > iteration 12/40, took 0:00:14 (remains: 0:06:48)\n",
+      "   | 0.1212 (best: 0.1223) - {'k1': 3.90012410083342, 'b': 0.6241214921834844}\n",
+      " > iteration 13/40, took 0:00:14 (remains: 0:06:41)\n",
+      "   | 0.1222 (best: 0.1223) - {'k1': 1.8960468709174794, 'b': 0.8916170773088863}\n",
+      " > iteration 14/40, took 0:00:07 (remains: 0:03:16)\n",
+      "   | 0.1220 (best: 0.1223) - {'k1': 3.9994160862973045, 'b': 0.6979783137813953}\n",
+      " > iteration 15/40, took 0:00:06 (remains: 0:02:44)\n",
+      "   | 0.1211 (best: 0.1223) - {'k1': 4.58923833612909, 'b': 0.5888237350852924}\n",
+      " > iteration 16/40, took 0:00:14 (remains: 0:05:55)\n",
+      "   | 0.1198 (best: 0.1223) - {'k1': 4.662723570805236, 'b': 0.8042768363223605}\n",
+      " > iteration 17/40, took 0:00:07 (remains: 0:03:02)\n",
+      "   | 0.1212 (best: 0.1223) - {'k1': 1.6595673544400233, 'b': 0.720771340961845}\n",
+      " > iteration 18/40, took 0:00:14 (remains: 0:05:28)\n",
+      "   | 0.1189 (best: 0.1223) - {'k1': 1.8441395067406816, 'b': 0.4827003762231994}\n",
+      " > iteration 19/40, took 0:00:16 (remains: 0:05:43)\n",
+      "   | 0.1191 (best: 0.1223) - {'k1': 2.01735129066345, 'b': 0.4937564673613374}\n",
+      " > iteration 20/40, took 0:00:14 (remains: 0:04:51)\n",
+      "   | 0.1200 (best: 0.1223) - {'k1': 3.3535638350210557, 'b': 0.9188915965783082}\n",
+      " > iteration 21/40, took 0:00:08 (remains: 0:02:46)\n",
+      "   | 0.1214 (best: 0.1223) - {'k1': 4.292446003611287, 'b': 0.6175978851593993}\n",
+      " > iteration 22/40, took 0:00:06 (remains: 0:02:05)\n",
+      "   | 0.1156 (best: 0.1223) - {'k1': 0.5192219702276303, 'b': 0.3536030108191762}\n",
+      " > iteration 23/40, took 0:00:06 (remains: 0:01:57)\n",
+      "   | 0.1144 (best: 0.1223) - {'k1': 0.06247021384824582, 'b': 0.995793571321127}\n",
+      " > iteration 24/40, took 0:00:06 (remains: 0:01:43)\n",
+      "   | 0.1197 (best: 0.1223) - {'k1': 2.266614544750729, 'b': 1.0}\n",
+      " > iteration 25/40, took 0:00:14 (remains: 0:03:44)\n",
+      "   | 0.1163 (best: 0.1223) - {'k1': 4.956984165613435, 'b': 0.999090796560641}\n",
+      " > iteration 26/40, took 0:00:14 (remains: 0:03:17)\n",
+      "   | 0.1162 (best: 0.1223) - {'k1': 4.984251860827831, 'b': 0.3029359857618238}\n",
+      " > iteration 27/40, took 0:00:13 (remains: 0:02:58)\n",
+      "   | 0.1167 (best: 0.1223) - {'k1': 2.4697547613678577, 'b': 0.30051641786956584}\n",
+      " > iteration 28/40, took 0:00:07 (remains: 0:01:32)\n",
+      "   | 0.1215 (best: 0.1223) - {'k1': 1.8718091225625908, 'b': 0.8160144057749859}\n",
+      " > iteration 29/40, took 0:00:08 (remains: 0:01:36)\n",
+      "   | 0.1135 (best: 0.1223) - {'k1': 0.0025313485199252033, 'b': 0.6265876640936998}\n",
+      " > iteration 30/40, took 0:00:06 (remains: 0:01:04)\n",
+      "   | 0.1220 (best: 0.1223) - {'k1': 1.2006041182668146, 'b': 0.9992862867754346}\n",
+      " > iteration 31/40, took 0:00:06 (remains: 0:01:02)\n",
+      "   | 0.1214 (best: 0.1223) - {'k1': 2.8061930873889267, 'b': 0.64715920883775}\n",
+      " > iteration 32/40, took 0:00:11 (remains: 0:01:35)\n",
+      "   | 0.1224 (best: 0.1224) - {'k1': 1.5159576532570491, 'b': 0.9474530489445456}\n",
+      " > iteration 33/40, took 0:00:11 (remains: 0:01:21)\n",
+      "   | 0.1227 (best: 0.1227) - {'k1': 1.5077266504072955, 'b': 1.0}\n",
+      " > iteration 34/40, took 0:00:14 (remains: 0:01:29)\n",
+      "   | 0.1134 (best: 0.1227) - {'k1': 0.008057291422611247, 'b': 0.3016018212677284}\n",
+      " > iteration 35/40, took 0:00:08 (remains: 0:00:40)\n",
+      "   | 0.1227 (best: 0.1227) - {'k1': 1.5051243128436376, 'b': 1.0}\n",
+      " > iteration 36/40, took 0:00:06 (remains: 0:00:27)\n",
+      "   | 0.1138 (best: 0.1227) - {'k1': 0.0061622912540648675, 'b': 0.8132702539719996}\n",
+      " > iteration 37/40, took 0:00:15 (remains: 0:00:45)\n",
+      "   | 0.1180 (best: 0.1227) - {'k1': 4.088403293129949, 'b': 0.997904250552115}\n",
+      " > iteration 38/40, took 0:00:07 (remains: 0:00:15)\n",
+      "   | 0.1227 (best: 0.1227) - {'k1': 1.5027719177766896, 'b': 1.0}\n",
+      " > iteration 39/40, took 0:00:16 (remains: 0:00:16)\n",
+      "   | 0.1182 (best: 0.1227) - {'k1': 4.99210054583433, 'b': 0.4662850761366203}\n",
+      " > iteration 40/40, took 0:00:14 (remains: 0:00:00)\n",
+      "   | 0.1192 (best: 0.1227) - {'k1': 2.9506180921348686, 'b': 0.4440719387680844}\n",
+      "Best score: 0.1227\n",
+      "Best params: {'k1': 1.5077266504072955, 'b': 1.0}\n",
+      "Final params: {'k1': 1.5077266504072955, 'b': 1.0}\n",
+      "\n",
+      "Optimization: body\n",
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 2/40, took 0:00:48 (remains: 0:30:44)\n",
+      "   | 0.2042 (best: 0.2298) - {'k1': 0.9, 'b': 0.4}\n",
+      " > iteration 3/40, took 0:00:08 (remains: 0:05:13)\n",
+      "   | 0.2079 (best: 0.2298) - {'k1': 0.6183262116969952, 'b': 0.48176894135802134}\n",
+      " > iteration 4/40, took 0:00:13 (remains: 0:07:57)\n",
+      "   | 0.2391 (best: 0.2391) - {'k1': 3.748284915359279, 'b': 0.9436644069943936}\n",
+      " > iteration 5/40, took 0:00:19 (remains: 0:11:37)\n",
+      "   | 0.2224 (best: 0.2391) - {'k1': 1.7747799535316824, 'b': 0.5110434716299355}\n",
+      " > iteration 6/40, took 0:00:18 (remains: 0:10:14)\n",
+      "   | 0.2221 (best: 0.2391) - {'k1': 2.6341119099095183, 'b': 0.4933338141944413}\n",
+      " > iteration 7/40, took 0:00:17 (remains: 0:09:47)\n",
+      "   | 0.2161 (best: 0.2391) - {'k1': 0.5226880626192932, 'b': 0.8777377440880922}\n",
+      " > iteration 8/40, took 0:00:19 (remains: 0:10:17)\n",
+      "   | 0.2226 (best: 0.2391) - {'k1': 4.724974640736789, 'b': 0.5826379143279026}\n",
+      " > iteration 9/40, took 0:00:12 (remains: 0:06:28)\n",
+      "   | 0.1903 (best: 0.2391) - {'k1': 0.3916358099179668, 'b': 0.38053503151117685}\n",
+      " > iteration 10/40, took 0:00:09 (remains: 0:04:43)\n",
+      "   | 0.2189 (best: 0.2391) - {'k1': 2.749006734531953, 'b': 0.44748532957624276}\n",
+      " > iteration 11/40, took 0:00:17 (remains: 0:08:34)\n",
+      "   | 0.2060 (best: 0.2391) - {'k1': 2.1580559945693274, 'b': 0.33036389675779176}\n",
+      " > iteration 12/40, took 0:00:17 (remains: 0:08:18)\n",
+      "   | 0.2237 (best: 0.2391) - {'k1': 4.6848893355099746, 'b': 0.5943987447643887}\n",
+      " > iteration 13/40, took 0:00:09 (remains: 0:04:29)\n",
+      "   | 0.2099 (best: 0.2391) - {'k1': 1.0354153406994413, 'b': 0.4222194877278328}\n",
+      " > iteration 14/40, took 0:00:14 (remains: 0:06:08)\n",
+      "   | 0.2344 (best: 0.2391) - {'k1': 3.8820680652978012, 'b': 0.990296506132835}\n",
+      " > iteration 15/40, took 0:00:09 (remains: 0:04:00)\n",
+      "   | 0.2359 (best: 0.2391) - {'k1': 2.3956304830007547, 'b': 0.6534880085618948}\n",
+      " > iteration 16/40, took 0:00:18 (remains: 0:07:23)\n",
+      "   | 0.2109 (best: 0.2391) - {'k1': 0.39173690454522575, 'b': 0.7600700695081284}\n",
+      " > iteration 17/40, took 0:00:20 (remains: 0:07:41)\n",
+      "   | 0.2398 (best: 0.2398) - {'k1': 4.563334018601294, 'b': 0.8166559454228937}\n",
+      " > iteration 18/40, took 0:00:10 (remains: 0:04:01)\n",
+      "   | 0.2011 (best: 0.2398) - {'k1': 0.12783325274942473, 'b': 0.7376121087713838}\n",
+      " > iteration 19/40, took 0:00:09 (remains: 0:03:13)\n",
+      "   | 0.2202 (best: 0.2398) - {'k1': 1.8353110159470234, 'b': 0.491940249748945}\n",
+      " > iteration 20/40, took 0:00:08 (remains: 0:02:49)\n",
+      "   | 0.2365 (best: 0.2398) - {'k1': 2.31594456771881, 'b': 0.8633859736475613}\n",
+      " > iteration 21/40, took 0:00:08 (remains: 0:02:42)\n",
+      "   | 0.2351 (best: 0.2398) - {'k1': 3.173132516962271, 'b': 0.639194567753254}\n",
+      " > iteration 22/40, took 0:00:09 (remains: 0:02:42)\n",
+      "   | 0.2016 (best: 0.2398) - {'k1': 2.226195079407944, 'b': 0.30346511149702393}\n",
+      " > iteration 23/40, took 0:00:14 (remains: 0:04:14)\n",
+      "   | 0.2410 (best: 0.2410) - {'k1': 3.575734657450034, 'b': 0.8079672939155187}\n",
+      " > iteration 24/40, took 0:00:11 (remains: 0:02:56)\n",
+      "   | 0.2376 (best: 0.2410) - {'k1': 5.0, 'b': 0.9747692350957902}\n",
+      " > iteration 25/40, took 0:00:18 (remains: 0:04:33)\n",
+      "   | 0.1942 (best: 0.2410) - {'k1': 5.0, 'b': 0.3}\n",
+      " > iteration 26/40, took 0:00:11 (remains: 0:02:34)\n",
+      "   | 0.2246 (best: 0.2410) - {'k1': 1.7248398802865952, 'b': 0.9995139325708571}\n",
+      " > iteration 27/40, took 0:00:17 (remains: 0:03:47)\n",
+      "   | 0.2367 (best: 0.2410) - {'k1': 4.986297866195325, 'b': 0.8047966494597247}\n",
+      " > iteration 28/40, took 0:00:17 (remains: 0:03:28)\n",
+      "   | 0.2394 (best: 0.2410) - {'k1': 3.998767351094083, 'b': 0.8375665908143091}\n",
+      " > iteration 29/40, took 0:00:09 (remains: 0:01:39)\n",
+      "   | 0.2396 (best: 0.2410) - {'k1': 3.029802621068251, 'b': 0.8507895160207595}\n",
+      " > iteration 30/40, took 0:00:12 (remains: 0:02:09)\n",
+      "   | 0.1928 (best: 0.2410) - {'k1': 0.04422428490364783, 'b': 0.9947254905278533}\n",
+      " > iteration 31/40, took 0:00:09 (remains: 0:01:21)\n",
+      "   | 0.2404 (best: 0.2410) - {'k1': 3.3595516539752, 'b': 0.8057615530476072}\n",
+      " > iteration 32/40, took 0:00:16 (remains: 0:02:12)\n",
+      "   | 0.2415 (best: 0.2415) - {'k1': 3.4418843002060036, 'b': 0.8106120134638413}\n",
+      " > iteration 33/40, took 0:00:09 (remains: 0:01:07)\n",
+      "   | 0.2303 (best: 0.2415) - {'k1': 2.918536870479053, 'b': 0.9983169084488823}\n",
+      " > iteration 34/40, took 0:00:08 (remains: 0:00:50)\n",
+      "   | 0.2323 (best: 0.2415) - {'k1': 4.548564493720921, 'b': 0.9983477430299839}\n",
+      " > iteration 35/40, took 0:00:18 (remains: 0:01:31)\n",
+      "   | 0.2411 (best: 0.2415) - {'k1': 3.5548186851884465, 'b': 0.8158599562328299}\n",
+      " > iteration 36/40, took 0:00:11 (remains: 0:00:44)\n",
+      "   | 0.1996 (best: 0.2415) - {'k1': 3.8385703616741074, 'b': 0.30511440226047903}\n",
+      " > iteration 37/40, took 0:00:09 (remains: 0:00:27)\n",
+      "   | 0.2412 (best: 0.2415) - {'k1': 3.5180252050075995, 'b': 0.8157377339518241}\n",
+      " > iteration 38/40, took 0:00:08 (remains: 0:00:16)\n",
+      "   | 0.2405 (best: 0.2415) - {'k1': 3.2864478002860102, 'b': 0.8051988280870099}\n",
+      " > iteration 39/40, took 0:00:08 (remains: 0:00:08)\n",
+      "   | 0.2404 (best: 0.2415) - {'k1': 3.6918524168140103, 'b': 0.824890848441477}\n",
+      " > iteration 40/40, took 0:00:08 (remains: 0:00:00)\n",
+      "   | 0.2411 (best: 0.2415) - {'k1': 3.2318769978691835, 'b': 0.803049782759234}\n",
+      "Best score: 0.2415\n",
+      "Best params: {'k1': 3.4418843002060036, 'b': 0.8106120134638413}\n",
+      "Final params: {'k1': 3.4418843002060036, 'b': 0.8106120134638413}\n",
+      "\n",
+      "Optimization: body.bigrams\n",
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 2/40, took 0:01:20 (remains: 0:50:52)\n",
+      "   | 0.1805 (best: 0.1858) - {'k1': 0.9, 'b': 0.4}\n",
+      " > iteration 3/40, took 0:00:31 (remains: 0:19:22)\n",
+      "   | 0.1858 (best: 0.1858) - {'k1': 3.0859545334362055, 'b': 0.7495861402721271}\n",
+      " > iteration 4/40, took 0:00:21 (remains: 0:13:08)\n",
+      "   | 0.1741 (best: 0.1858) - {'k1': 3.945432483917048, 'b': 0.9985897837261513}\n",
+      " > iteration 5/40, took 0:00:23 (remains: 0:13:46)\n",
+      "   | 0.1815 (best: 0.1858) - {'k1': 3.2600544208652655, 'b': 0.4078898893097473}\n",
+      " > iteration 6/40, took 0:00:19 (remains: 0:10:48)\n",
+      "   | 0.1886 (best: 0.1886) - {'k1': 2.743492086079958, 'b': 0.7389706497087632}\n",
+      " > iteration 7/40, took 0:00:21 (remains: 0:12:00)\n",
+      "   | 0.1678 (best: 0.1886) - {'k1': 0.17830643628697687, 'b': 0.5695288571880839}\n",
+      " > iteration 8/40, took 0:00:19 (remains: 0:10:33)\n",
+      "   | 0.1677 (best: 0.1886) - {'k1': 0.1825615531173436, 'b': 0.7141699837577988}\n",
+      " > iteration 9/40, took 0:00:29 (remains: 0:15:07)\n",
+      "   | 0.1895 (best: 0.1895) - {'k1': 1.9753972218229798, 'b': 0.8344316086149068}\n",
+      " > iteration 10/40, took 0:00:17 (remains: 0:08:58)\n",
+      "   | 0.1861 (best: 0.1895) - {'k1': 2.846104727556016, 'b': 0.6414806788917581}\n",
+      " > iteration 11/40, took 0:00:36 (remains: 0:17:50)\n",
+      "   | 0.1833 (best: 0.1895) - {'k1': 2.933477766047807, 'b': 0.5744649922283651}\n",
+      " > iteration 12/40, took 0:00:26 (remains: 0:12:30)\n",
+      "   | 0.1900 (best: 0.1900) - {'k1': 1.6547861822646694, 'b': 0.7360423352153108}\n",
+      " > iteration 13/40, took 0:00:30 (remains: 0:13:55)\n",
+      "   | 0.1568 (best: 0.1900) - {'k1': 0.016750829132485826, 'b': 0.47846926712302607}\n",
+      " > iteration 14/40, took 0:00:28 (remains: 0:12:31)\n",
+      "   | 0.1831 (best: 0.1900) - {'k1': 0.9186239409404191, 'b': 0.8168269642719279}\n",
+      " > iteration 15/40, took 0:00:29 (remains: 0:12:26)\n",
+      "   | 0.1847 (best: 0.1900) - {'k1': 2.6540575338587273, 'b': 0.5688388803976208}\n",
+      " > iteration 16/40, took 0:00:12 (remains: 0:05:07)\n",
+      "   | 0.1873 (best: 0.1900) - {'k1': 2.0638177140295673, 'b': 0.5524043203361658}\n",
+      " > iteration 17/40, took 0:00:07 (remains: 0:02:59)\n",
+      "   | 0.1792 (best: 0.1900) - {'k1': 4.945791742888704, 'b': 0.6151539556555536}\n",
+      " > iteration 18/40, took 0:00:07 (remains: 0:02:51)\n",
+      "   | 0.1842 (best: 0.1900) - {'k1': 2.016317531796762, 'b': 0.433966612959082}\n",
+      " > iteration 19/40, took 0:00:16 (remains: 0:05:48)\n",
+      "   | 0.1774 (best: 0.1900) - {'k1': 3.581404575394081, 'b': 0.30237922115381116}\n",
+      " > iteration 20/40, took 0:00:15 (remains: 0:05:14)\n",
+      "   | 0.1787 (best: 0.1900) - {'k1': 4.742660806513108, 'b': 0.8343675571031695}\n",
+      " > iteration 21/40, took 0:00:17 (remains: 0:05:29)\n",
+      "   | 0.1755 (best: 0.1900) - {'k1': 0.5730318782407363, 'b': 0.924668500895669}\n",
+      " > iteration 22/40, took 0:00:21 (remains: 0:06:21)\n",
+      "   | 0.1855 (best: 0.1900) - {'k1': 1.4550152897422972, 'b': 0.9006224501628057}\n",
+      " > iteration 23/40, took 0:00:15 (remains: 0:04:22)\n",
+      "   | 0.1810 (best: 0.1900) - {'k1': 2.3123170129072204, 'b': 0.9966298895328496}\n",
+      " > iteration 24/40, took 0:00:15 (remains: 0:04:04)\n",
+      "   | 0.1804 (best: 0.1900) - {'k1': 1.629424502721689, 'b': 0.3}\n",
+      " > iteration 25/40, took 0:00:19 (remains: 0:04:55)\n",
+      "   | 0.1706 (best: 0.1900) - {'k1': 4.995852274979443, 'b': 0.30159264764590826}\n",
+      " > iteration 26/40, took 0:00:28 (remains: 0:06:40)\n",
+      "   | 0.1724 (best: 0.1900) - {'k1': 4.99245226686598, 'b': 0.9872102496792576}\n",
+      " > iteration 27/40, took 0:00:28 (remains: 0:06:08)\n",
+      "   | 0.1883 (best: 0.1900) - {'k1': 1.9026871280572821, 'b': 0.710420601714676}\n",
+      " > iteration 28/40, took 0:00:13 (remains: 0:02:40)\n",
+      "   | 0.1818 (best: 0.1900) - {'k1': 4.005412673905941, 'b': 0.5945296526346645}\n",
+      " > iteration 29/40, took 0:00:35 (remains: 0:06:31)\n",
+      "   | 0.1489 (best: 0.1900) - {'k1': 0.006701119025394054, 'b': 0.9994307111932239}\n",
+      " > iteration 30/40, took 0:00:30 (remains: 0:05:04)\n",
+      "   | 0.1892 (best: 0.1900) - {'k1': 1.6433259522924466, 'b': 0.6784607541380507}\n",
+      " > iteration 31/40, took 0:00:30 (remains: 0:04:35)\n",
+      "   | 0.1778 (best: 0.1900) - {'k1': 2.4852401292228166, 'b': 0.3026623620852234}\n",
+      " > iteration 32/40, took 0:00:27 (remains: 0:03:36)\n",
+      "   | 0.1814 (best: 0.1900) - {'k1': 1.5405086040902796, 'b': 0.9995274570490673}\n",
+      " > iteration 33/40, took 0:00:21 (remains: 0:02:27)\n",
+      "   | 0.1854 (best: 0.1900) - {'k1': 1.2747003168041513, 'b': 0.5585832051411725}\n",
+      " > iteration 34/40, took 0:00:27 (remains: 0:02:47)\n",
+      "   | 0.1786 (best: 0.1900) - {'k1': 3.00589055256522, 'b': 0.9992886600379809}\n",
+      " > iteration 35/40, took 0:00:33 (remains: 0:02:49)\n",
+      "   | 0.1744 (best: 0.1900) - {'k1': 4.3538160044754495, 'b': 0.3027348683410403}\n",
+      " > iteration 36/40, took 0:00:30 (remains: 0:02:01)\n",
+      "   | 0.1897 (best: 0.1900) - {'k1': 2.0255271813412716, 'b': 0.7365263311184367}\n",
+      " > iteration 37/40, took 0:00:10 (remains: 0:00:31)\n",
+      "   | 0.1895 (best: 0.1900) - {'k1': 2.0633802311631055, 'b': 0.7392302859549982}\n",
+      " > iteration 38/40, took 0:00:07 (remains: 0:00:14)\n",
+      "   | 0.1894 (best: 0.1900) - {'k1': 2.067734905586823, 'b': 0.7397109643205351}\n",
+      " > iteration 39/40, took 0:00:22 (remains: 0:00:22)\n",
+      "   | 0.1764 (best: 0.1900) - {'k1': 0.6310826639152907, 'b': 0.30069956152227834}\n",
+      " > iteration 40/40, took 0:00:29 (remains: 0:00:00)\n",
+      "   | 0.1904 (best: 0.1904) - {'k1': 1.9100199633100623, 'b': 0.7336619962002098}\n",
+      "Best score: 0.1904\n",
+      "Best params: {'k1': 1.9100199633100623, 'b': 0.7336619962002098}\n",
+      "Final params: {'k1': 1.9100199633100623, 'b': 0.7336619962002098}\n",
+      "\n",
+      "Optimization: expansions\n",
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 2/40, took 0:00:49 (remains: 0:31:39)\n",
+      "   | 0.2665 (best: 0.2804) - {'k1': 0.9, 'b': 0.4}\n",
+      " > iteration 3/40, took 0:00:17 (remains: 0:11:03)\n",
+      "   | 0.2951 (best: 0.2951) - {'k1': 4.821634892805274, 'b': 0.9992043646380031}\n",
+      " > iteration 4/40, took 0:00:16 (remains: 0:09:41)\n",
+      "   | 0.2879 (best: 0.2951) - {'k1': 1.1712380592726348, 'b': 0.8682257062613443}\n",
+      " > iteration 5/40, took 0:00:08 (remains: 0:04:54)\n",
+      "   | 0.2749 (best: 0.2951) - {'k1': 2.030885711123376, 'b': 0.5655596350035239}\n",
+      " > iteration 6/40, took 0:00:07 (remains: 0:04:21)\n",
+      "   | 0.2879 (best: 0.2951) - {'k1': 4.046696499799916, 'b': 0.7030766439900421}\n",
+      " > iteration 7/40, took 0:00:07 (remains: 0:03:59)\n",
+      "   | 0.2817 (best: 0.2951) - {'k1': 2.4321112295009395, 'b': 0.6205766348649775}\n",
+      " > iteration 8/40, took 0:00:06 (remains: 0:03:37)\n",
+      "   | 0.2698 (best: 0.2951) - {'k1': 1.1573802483244657, 'b': 0.5247010102362706}\n",
+      " > iteration 9/40, took 0:00:07 (remains: 0:03:41)\n",
+      "   | 0.2671 (best: 0.2951) - {'k1': 0.8171548766213239, 'b': 0.5726514081300811}\n",
+      " > iteration 10/40, took 0:00:14 (remains: 0:07:20)\n",
+      "   | 0.2935 (best: 0.2951) - {'k1': 2.6922486992319437, 'b': 0.8428618541033706}\n",
+      " > iteration 11/40, took 0:00:08 (remains: 0:04:16)\n",
+      "   | 0.2676 (best: 0.2951) - {'k1': 1.5645756575227412, 'b': 0.3619764411598218}\n",
+      " > iteration 12/40, took 0:00:15 (remains: 0:07:00)\n",
+      "   | 0.2804 (best: 0.2951) - {'k1': 3.6266287760193805, 'b': 0.55217215623938}\n",
+      " > iteration 13/40, took 0:00:14 (remains: 0:06:40)\n",
+      "   | 0.2585 (best: 0.2951) - {'k1': 0.7227503209359, 'b': 0.3258067771473695}\n",
+      " > iteration 14/40, took 0:00:08 (remains: 0:03:49)\n",
+      "   | 0.2937 (best: 0.2951) - {'k1': 2.19908083668676, 'b': 0.9466479812288169}\n",
+      " > iteration 15/40, took 0:00:15 (remains: 0:06:27)\n",
+      "   | 0.2768 (best: 0.2951) - {'k1': 2.8547273037530596, 'b': 0.397507985549981}\n",
+      " > iteration 16/40, took 0:00:14 (remains: 0:05:49)\n",
+      "   | 0.2885 (best: 0.2951) - {'k1': 1.7841504557184737, 'b': 0.7756155110892008}\n",
+      " > iteration 17/40, took 0:00:12 (remains: 0:04:57)\n",
+      "   | 0.2627 (best: 0.2951) - {'k1': 0.20678494388348792, 'b': 0.7576154240072448}\n",
+      " > iteration 18/40, took 0:00:09 (remains: 0:03:27)\n",
+      "   | 0.2764 (best: 0.2951) - {'k1': 3.1278191671048217, 'b': 0.3688099057606903}\n",
+      " > iteration 19/40, took 0:00:09 (remains: 0:03:25)\n",
+      "   | 0.2791 (best: 0.2951) - {'k1': 1.1610471107413758, 'b': 0.7455877621419051}\n",
+      " > iteration 20/40, took 0:00:13 (remains: 0:04:27)\n",
+      "   | 0.2799 (best: 0.2951) - {'k1': 1.8820735727902909, 'b': 0.6374384608318684}\n",
+      " > iteration 21/40, took 0:00:08 (remains: 0:02:45)\n",
+      "   | 0.2690 (best: 0.2951) - {'k1': 3.72157325918054, 'b': 0.3100659969723847}\n",
+      " > iteration 22/40, took 0:00:08 (remains: 0:02:27)\n",
+      "   | 0.2966 (best: 0.2966) - {'k1': 3.13463411217811, 'b': 0.8383994126723253}\n",
+      " > iteration 23/40, took 0:00:07 (remains: 0:02:10)\n",
+      "   | 0.2955 (best: 0.2966) - {'k1': 3.6488287288846344, 'b': 1.0}\n",
+      " > iteration 24/40, took 0:00:07 (remains: 0:01:56)\n",
+      "   | 0.3020 (best: 0.3020) - {'k1': 5.0, 'b': 0.8561082699301825}\n",
+      " > iteration 25/40, took 0:00:11 (remains: 0:02:54)\n",
+      "   | 0.1199 (best: 0.3020) - {'k1': 0.0, 'b': 1.0}\n",
+      " > iteration 26/40, took 0:00:08 (remains: 0:02:01)\n",
+      "   | 0.2737 (best: 0.3020) - {'k1': 5.0, 'b': 0.4497042250899949}\n",
+      " > iteration 27/40, took 0:00:08 (remains: 0:01:52)\n",
+      "   | 0.3015 (best: 0.3020) - {'k1': 4.1689530355649955, 'b': 0.9027826715354583}\n",
+      " > iteration 28/40, took 0:00:14 (remains: 0:02:49)\n",
+      "   | 0.2935 (best: 0.3020) - {'k1': 5.0, 'b': 0.7466661824293201}\n",
+      " > iteration 29/40, took 0:00:09 (remains: 0:01:42)\n",
+      "   | 0.2978 (best: 0.3020) - {'k1': 4.324412722283606, 'b': 0.8207220369469015}\n",
+      " > iteration 30/40, took 0:00:07 (remains: 0:01:19)\n",
+      "   | 0.2666 (best: 0.3020) - {'k1': 5.0, 'b': 0.3}\n",
+      " > iteration 31/40, took 0:00:07 (remains: 0:01:04)\n",
+      "   | 0.3010 (best: 0.3020) - {'k1': 3.2344553593991683, 'b': 0.9283805044772957}\n",
+      " > iteration 32/40, took 0:00:07 (remains: 0:00:58)\n",
+      "   | 0.2838 (best: 0.3020) - {'k1': 5.0, 'b': 0.6054471031654505}\n",
+      " > iteration 33/40, took 0:00:07 (remains: 0:00:50)\n",
+      "   | 0.3064 (best: 0.3064) - {'k1': 5.0, 'b': 0.9190886566031851}\n",
+      " > iteration 34/40, took 0:00:07 (remains: 0:00:43)\n",
+      "   | 0.3025 (best: 0.3064) - {'k1': 5.0, 'b': 0.9337353442234138}\n",
+      " > iteration 35/40, took 0:00:07 (remains: 0:00:36)\n",
+      "   | 0.3032 (best: 0.3064) - {'k1': 5.0, 'b': 0.8998792085481424}\n",
+      " > iteration 36/40, took 0:00:08 (remains: 0:00:34)\n",
+      "   | 0.2484 (best: 0.3064) - {'k1': 0.0007008325909318992, 'b': 0.47229305517046827}\n",
+      " > iteration 37/40, took 0:00:07 (remains: 0:00:21)\n",
+      "   | 0.3064 (best: 0.3064) - {'k1': 4.631064048169288, 'b': 0.9207046408403603}\n",
+      " > iteration 38/40, took 0:00:09 (remains: 0:00:19)\n",
+      "   | 0.3039 (best: 0.3064) - {'k1': 4.499516381190682, 'b': 0.9294185901964866}\n",
+      " > iteration 39/40, took 0:00:07 (remains: 0:00:07)\n",
+      "   | 0.2428 (best: 0.3064) - {'k1': 0.011754849784484935, 'b': 0.3014360521764926}\n",
+      " > iteration 40/40, took 0:00:07 (remains: 0:00:00)\n",
+      "   | 0.3063 (best: 0.3064) - {'k1': 4.686188755999396, 'b': 0.9136957977785161}\n",
+      "Best score: 0.3064\n",
+      "Best params: {'k1': 5.0, 'b': 0.9190886566031851}\n",
+      "Final params: {'k1': 5.0, 'b': 0.9190886566031851}\n",
+      "\n",
+      "Optimization: expansions.bigrams\n",
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 2/40, took 0:00:36 (remains: 0:23:14)\n",
+      "   | 0.2567 (best: 0.2685) - {'k1': 0.9, 'b': 0.4}\n",
+      " > iteration 3/40, took 0:00:07 (remains: 0:04:26)\n",
+      "   | 0.2638 (best: 0.2685) - {'k1': 1.886413966168815, 'b': 0.6563317608617942}\n",
+      " > iteration 4/40, took 0:00:06 (remains: 0:04:09)\n",
+      "   | 0.2614 (best: 0.2685) - {'k1': 3.397207350611268, 'b': 0.7180578348580084}\n",
+      " > iteration 5/40, took 0:00:07 (remains: 0:04:35)\n",
+      "   | 0.2521 (best: 0.2685) - {'k1': 2.051907741538281, 'b': 0.3166452419857358}\n",
+      " > iteration 6/40, took 0:00:06 (remains: 0:03:36)\n",
+      "   | 0.2669 (best: 0.2685) - {'k1': 1.0642139669170878, 'b': 0.7069135397251006}\n",
+      " > iteration 7/40, took 0:00:06 (remains: 0:03:26)\n",
+      "   | 0.2628 (best: 0.2685) - {'k1': 1.3708335120679136, 'b': 0.5940795689623406}\n",
+      " > iteration 8/40, took 0:00:06 (remains: 0:03:26)\n",
+      "   | 0.2611 (best: 0.2685) - {'k1': 2.1572649166435687, 'b': 0.5107278563121784}\n",
+      " > iteration 9/40, took 0:00:06 (remains: 0:03:21)\n",
+      "   | 0.2548 (best: 0.2685) - {'k1': 2.2921341678317857, 'b': 0.4316368214207633}\n",
+      " > iteration 10/40, took 0:00:06 (remains: 0:03:15)\n",
+      "   | 0.2674 (best: 0.2685) - {'k1': 1.4086145592257773, 'b': 0.8029605827312976}\n",
+      " > iteration 11/40, took 0:00:06 (remains: 0:03:14)\n",
+      "   | 0.2613 (best: 0.2685) - {'k1': 1.6501238811827037, 'b': 0.585241259764547}\n",
+      " > iteration 12/40, took 0:00:12 (remains: 0:05:39)\n",
+      "   | 0.2630 (best: 0.2685) - {'k1': 0.5312652698516513, 'b': 0.803843964047041}\n",
+      " > iteration 13/40, took 0:00:08 (remains: 0:04:02)\n",
+      "   | 0.2527 (best: 0.2685) - {'k1': 3.797041730222711, 'b': 0.579953722534452}\n",
+      " > iteration 14/40, took 0:00:08 (remains: 0:03:31)\n",
+      "   | 0.2603 (best: 0.2685) - {'k1': 0.8431983052972165, 'b': 0.9716273001390818}\n",
+      " > iteration 15/40, took 0:00:09 (remains: 0:04:02)\n",
+      "   | 0.2572 (best: 0.2685) - {'k1': 4.372300599278071, 'b': 0.8035436918288306}\n",
+      " > iteration 16/40, took 0:00:06 (remains: 0:02:46)\n",
+      "   | 0.2616 (best: 0.2685) - {'k1': 1.101357124807151, 'b': 0.5849871448000868}\n",
+      " > iteration 17/40, took 0:00:06 (remains: 0:02:40)\n",
+      "   | 0.2628 (best: 0.2685) - {'k1': 3.155440715322025, 'b': 0.7168498328815109}\n",
+      " > iteration 18/40, took 0:00:06 (remains: 0:02:29)\n",
+      "   | 0.2632 (best: 0.2685) - {'k1': 3.258946442106503, 'b': 0.7537115657232605}\n",
+      " > iteration 19/40, took 0:00:06 (remains: 0:02:21)\n",
+      "   | 0.2438 (best: 0.2685) - {'k1': 4.307123656932904, 'b': 0.32501530848895277}\n",
+      " > iteration 20/40, took 0:00:10 (remains: 0:03:26)\n",
+      "   | 0.2649 (best: 0.2685) - {'k1': 2.606156063504687, 'b': 0.7502809073793184}\n",
+      " > iteration 21/40, took 0:00:08 (remains: 0:02:39)\n",
+      "   | 0.2460 (best: 0.2685) - {'k1': 4.212393251423495, 'b': 0.3614090145904947}\n",
+      " > iteration 22/40, took 0:00:08 (remains: 0:02:25)\n",
+      "   | 0.2645 (best: 0.2685) - {'k1': 2.5077279388357896, 'b': 0.6243380813739405}\n",
+      " > iteration 23/40, took 0:00:07 (remains: 0:02:03)\n",
+      "   | 0.2551 (best: 0.2685) - {'k1': 3.042430351897241, 'b': 0.999741128482311}\n",
+      " > iteration 24/40, took 0:00:08 (remains: 0:02:16)\n",
+      "   | 0.2483 (best: 0.2685) - {'k1': 5.0, 'b': 1.0}\n",
+      " > iteration 25/40, took 0:00:06 (remains: 0:01:42)\n",
+      "   | 0.2681 (best: 0.2685) - {'k1': 1.764080639590606, 'b': 0.7765195363928783}\n",
+      " > iteration 26/40, took 0:00:06 (remains: 0:01:36)\n",
+      "   | 0.2429 (best: 0.2685) - {'k1': 0.015193083701502966, 'b': 0.3058215209185693}\n",
+      " > iteration 27/40, took 0:00:06 (remains: 0:01:25)\n",
+      "   | 0.2485 (best: 0.2685) - {'k1': 0.00036946260646811106, 'b': 0.620456231998523}\n",
+      " > iteration 28/40, took 0:00:10 (remains: 0:02:04)\n",
+      "   | 0.1785 (best: 0.2685) - {'k1': 0.0, 'b': 1.0}\n",
+      " > iteration 29/40, took 0:00:07 (remains: 0:01:22)\n",
+      "   | 0.2487 (best: 0.2685) - {'k1': 5.0, 'b': 0.5794471566357813}\n",
+      " > iteration 30/40, took 0:00:13 (remains: 0:02:18)\n",
+      "   | 0.2610 (best: 0.2685) - {'k1': 1.883464096109715, 'b': 1.0}\n",
+      " > iteration 31/40, took 0:00:11 (remains: 0:01:47)\n",
+      "   | 0.2536 (best: 0.2685) - {'k1': 3.9486490947586974, 'b': 1.0}\n",
+      " > iteration 32/40, took 0:00:09 (remains: 0:01:12)\n",
+      "   | 0.2472 (best: 0.2685) - {'k1': 3.2881159919375103, 'b': 0.3}\n",
+      " > iteration 33/40, took 0:00:09 (remains: 0:01:03)\n",
+      "   | 0.2670 (best: 0.2685) - {'k1': 0.9953255899231838, 'b': 0.8407327119545256}\n",
+      " > iteration 34/40, took 0:00:07 (remains: 0:00:43)\n",
+      "   | 0.2576 (best: 0.2685) - {'k1': 0.5070171162478161, 'b': 0.5830539627846227}\n",
+      " > iteration 35/40, took 0:00:11 (remains: 0:00:57)\n",
+      "   | 0.2541 (best: 0.2685) - {'k1': 1.3411360395060186, 'b': 0.3}\n",
+      " > iteration 36/40, took 0:00:09 (remains: 0:00:36)\n",
+      "   | 0.2409 (best: 0.2685) - {'k1': 4.961880191249495, 'b': 0.30697385327439203}\n",
+      " > iteration 37/40, took 0:00:08 (remains: 0:00:24)\n",
+      "   | 0.2613 (best: 0.2685) - {'k1': 1.3583421742664046, 'b': 0.9970255733050968}\n",
+      " > iteration 38/40, took 0:00:07 (remains: 0:00:14)\n",
+      "   | 0.2654 (best: 0.2685) - {'k1': 2.21611355302289, 'b': 0.8666417333187497}\n",
+      " > iteration 39/40, took 0:00:07 (remains: 0:00:07)\n",
+      "   | 0.2690 (best: 0.2690) - {'k1': 1.8413006685653024, 'b': 0.8445599330786397}\n",
+      " > iteration 40/40, took 0:00:06 (remains: 0:00:00)\n",
+      "   | 0.2525 (best: 0.2690) - {'k1': 5.0, 'b': 0.806240071812361}\n",
+      "Best score: 0.2690\n",
+      "Best params: {'k1': 1.8413006685653024, 'b': 0.8445599330786397}\n",
+      "Final params: {'k1': 1.8413006685653024, 'b': 0.8445599330786397}\n",
+      "\n",
+      "CPU times: user 4min 34s, sys: 1min 7s, total: 5min 42s\n",
+      "Wall time: 1h 1min 39s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "results = for_all_fields(\n",
+    "    \"Optimization\",\n",
+    "    fn=lambda templates, similarity: optimize_bm25_mrr100_templated(es, max_concurrent_searches, index, templates, template_id, query_params,\n",
+    "        config_space=Config.parse({\n",
+    "            'method': 'bayesian',\n",
+    "            'num_iterations': 40,\n",
+    "            'num_initial_points': 20,\n",
+    "            'space': {\n",
+    "                'k1': { 'low': 0.0, 'high': 5.0 },\n",
+    "                'b': { 'low': 0.3, 'high': 1.0 },\n",
+    "            }\n",
+    "        }),\n",
+    "        name=similarity),\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 288x288 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 288x288 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 288x288 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 288x288 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 288x288 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 288x288 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 288x288 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for field, (_, _, _, metadata) in results.items():\n",
+    "    _ = plot_objective(metadata, sample_source='result')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dev set evaluation: url\n",
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2201\n",
+      "Dev set evaluation: title\n",
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2354\n",
+      "Dev set evaluation: title.bigrams\n",
+      "Evaluation with: MRR@100\n",
+      "Score: 0.1272\n",
+      "Dev set evaluation: body\n",
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2643\n",
+      "Dev set evaluation: body.bigrams\n",
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2045\n",
+      "Dev set evaluation: expansions\n",
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3213\n",
+      "Dev set evaluation: expansions.bigrams\n",
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2832\n",
+      "CPU times: user 14.1 s, sys: 3.68 s, total: 17.8 s\n",
+      "Wall time: 13min 6s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = for_all_fields(\n",
+    "    \"Dev set evaluation\",\n",
+    "    fn=lambda templates, similarity: evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, templates, template_id, query_params),\n",
+    "    existing_results=results,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Best parameters"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "best_params = [(x, best) for x, (_, best, _, _) in results.items()]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('url', {'k1': 0.33066956222950633, 'b': 0.9589101032169087}),\n",
+       " ('title', {'k1': 0.34885436112727763, 'b': 1.0}),\n",
+       " ('title.bigrams', {'k1': 1.5077266504072955, 'b': 1.0}),\n",
+       " ('body', {'k1': 3.4418843002060036, 'b': 0.8106120134638413}),\n",
+       " ('body.bigrams', {'k1': 1.9100199633100623, 'b': 0.7336619962002098}),\n",
+       " ('expansions', {'k1': 5.0, 'b': 0.9190886566031851}),\n",
+       " ('expansions.bigrams', {'k1': 1.8413006685653024, 'b': 0.8445599330786397})]"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "best_params"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Setting best params for each field\n",
+      "Setting BM25 params fields:\n",
+      " - url: {'k1': 0.33066956222950633, 'b': 0.9589101032169087}\n",
+      " - title: {'k1': 0.34885436112727763, 'b': 1.0}\n",
+      " - title.bigrams: {'k1': 1.5077266504072955, 'b': 1.0}\n",
+      " - body: {'k1': 3.4418843002060036, 'b': 0.8106120134638413}\n",
+      " - body.bigrams: {'k1': 1.9100199633100623, 'b': 0.7336619962002098}\n",
+      " - expansions: {'k1': 5.0, 'b': 0.9190886566031851}\n",
+      " - expansions.bigrams: {'k1': 1.8413006685653024, 'b': 0.8445599330786397}\n"
+     ]
+    }
+   ],
+   "source": [
+    "set_bm25_params(es, index, best_params)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Conclusion\n",
+    "\n",
+    "If you'd like to reset all parameters to their defaults, you can do so with the following code. However if you want to stick with the optimal values as shown above, you should skip running this."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "reset_all()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('url', {'k1': 0.33066956222950633, 'b': 0.9589101032169087}),\n",
+       " ('title', {'k1': 0.34885436112727763, 'b': 1.0}),\n",
+       " ('title.bigrams', {'k1': 1.2, 'b': 0.75}),\n",
+       " ('body', {'k1': 3.0128735487205525, 'b': 0.8200709176657588}),\n",
+       " ('body.bigrams', {'k1': 1.9100199633100623, 'b': 0.7336619962002098}),\n",
+       " ('expansions', {'k1': 4.870954366799399, 'b': 0.9249613913608172}),\n",
+       " ('expansions.bigrams', {'k1': 1.2, 'b': 0.75})]"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# best params from all previous runs with current fields and analyzers\n",
+    "\n",
+    "[\n",
+    "    ('url', {'k1': 0.33066956222950633, 'b': 0.9589101032169087}), # 0.2201\n",
+    "    ('title', {'k1': 0.34885436112727763, 'b': 1.0}), # 0.2354\n",
+    "    ('title.bigrams', {'k1': 1.2, 'b': 0.75}), # 0.1295\n",
+    "    ('body', {'k1': 3.0128735487205525, 'b': 0.8200709176657588}), # 0.2645\n",
+    "    ('body.bigrams', {'k1': 1.9100199633100623, 'b': 0.7336619962002098}), # 0.2045\n",
+    "    ('expansions', {'k1': 4.870954366799399, 'b': 0.9249613913608172}), # 0.3220\n",
+    "    ('expansions.bigrams', {'k1': 1.2, 'b': 0.75}) # 0.2837\n",
+    "]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Machine Learning/Query Optimization/notebooks/doc2query - 2 - best_fields.ipynb b/Machine Learning/Query Optimization/notebooks/doc2query - 2 - best_fields.ipynb
new file mode 100644
index 00000000..28b778db
--- /dev/null
+++ b/Machine Learning/Query Optimization/notebooks/doc2query - 2 - best_fields.ipynb	
@@ -0,0 +1,1560 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tuning a `multi_match` `best_fields` query"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import importlib\n",
+    "import os\n",
+    "import sys\n",
+    "\n",
+    "from copy import deepcopy\n",
+    "from elasticsearch import Elasticsearch\n",
+    "from skopt.plots import plot_objective"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# project library\n",
+    "sys.path.insert(0, os.path.abspath('..'))\n",
+    "\n",
+    "import qopt\n",
+    "importlib.reload(qopt)\n",
+    "\n",
+    "from qopt.notebooks import evaluate_mrr100_dev_templated, optimize_query_mrr100_templated, set_bm25_params\n",
+    "from qopt.optimize import Config"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Setting BM25 params fields:\n",
+      " - url: {'k1': 0.33066956222950633, 'b': 0.9589101032169087}\n",
+      " - title: {'k1': 0.34885436112727763, 'b': 1.0}\n",
+      " - title.bigrams: {'k1': 1.2, 'b': 0.75}\n",
+      " - body: {'k1': 3.0128735487205525, 'b': 0.8200709176657588}\n",
+      " - body.bigrams: {'k1': 1.9100199633100623, 'b': 0.7336619962002098}\n",
+      " - expansions: {'k1': 4.870954366799399, 'b': 0.9249613913608172}\n",
+      " - expansions.bigrams: {'k1': 1.2, 'b': 0.75}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# use a local Elasticsearch or Cloud instance (https://cloud.elastic.co/)\n",
+    "es = Elasticsearch('http://localhost:9200')\n",
+    "\n",
+    "# set the parallelization parameter `max_concurrent_searches` for the Rank Evaluation API calls\n",
+    "max_concurrent_searches = 10\n",
+    "\n",
+    "index = 'msmarco-document.doc2query'\n",
+    "template_id = 'query'\n",
+    "query_type = 'best_fields'\n",
+    "\n",
+    "# set best BM25 params\n",
+    "set_bm25_params(es, index, [\n",
+    "    ('url', {'k1': 0.33066956222950633, 'b': 0.9589101032169087}), # 0.2201\n",
+    "    ('title', {'k1': 0.34885436112727763, 'b': 1.0}), # 0.2354\n",
+    "    ('title.bigrams', {'k1': 1.2, 'b': 0.75}), # 0.1295\n",
+    "    ('body', {'k1': 3.0128735487205525, 'b': 0.8200709176657588}), # 0.2645\n",
+    "    ('body.bigrams', {'k1': 1.9100199633100623, 'b': 0.7336619962002098}), # 0.2045\n",
+    "    ('expansions', {'k1': 4.870954366799399, 'b': 0.9249613913608172}), # 0.3220\n",
+    "    ('expansions.bigrams', {'k1': 1.2, 'b': 0.75}) # 0.2837\n",
+    "])\n",
+    "\n",
+    "# base template for tuning\n",
+    "base_templates = [{\n",
+    "    \"id\": template_id,\n",
+    "    \"template\": {\n",
+    "        \"lang\": \"mustache\",\n",
+    "        \"source\": { \"query\": {} }\n",
+    "    }\n",
+    "}]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Experiments"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Base fields\n",
+    "\n",
+    "Using `best_fields` over just the base fields is the best result from a previous notebook, so we will not repeat that here. It achieved MRR@100 on the dev set: **0.3079**. Note that we achieved the best score using a large number of iterations, but it's roughly the same for fewer iterations."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Base fields + bigrams"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_templates = deepcopy(base_templates)\n",
+    "_templates[0]['template']['source']['query']['multi_match'] = {\n",
+    "    \"type\": query_type,\n",
+    "    \"query\": \"{{query_string}}\",\n",
+    "    \"tie_breaker\": \"{{tie_breaker}}\",\n",
+    "    \"fields\": [\n",
+    "        \"url^{{url|boost}}\",\n",
+    "        \"title^{{title|boost}}\",\n",
+    "        \"title.bigrams^{{title_bigrams|boost}}\",\n",
+    "        \"body^{{body|boost}}\",\n",
+    "        \"body.bigrams^{{body_bigrams|boost}}\",\n",
+    "    ]\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2578\n",
+      "CPU times: user 1.96 s, sys: 700 ms, total: 2.66 s\n",
+      "Wall time: 5min 41s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
+    "    'tie_breaker': 0.0,\n",
+    "    'url|boost': 1.0,\n",
+    "    'title|boost': 1.0,\n",
+    "    'title_bigrams|boost': 1.0,\n",
+    "    'body|boost': 1.0,\n",
+    "    'body_bigrams|boost': 1.0,\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 1/50, took 0:01:13 (remains: 0:59:57)\n",
+      "   | 0.2720 (best: 0.2720) - {'tie_breaker': 0.5885369968906293, 'url|boost': 2.5293939821278126, 'title|boost': 9.192389745315513, 'title_bigrams|boost': 1.9319207655772135, 'body|boost': 7.202741849791908, 'body_bigrams|boost': 1.5735955543544302}\n",
+      " > iteration 2/50, took 0:01:08 (remains: 0:54:45)\n",
+      "   | 0.2397 (best: 0.2720) - {'tie_breaker': 0.726029529102791, 'url|boost': 8.252138692164856, 'title|boost': 2.1573039582206692, 'title_bigrams|boost': 2.716515780732958, 'body|boost': 0.933790270327607, 'body_bigrams|boost': 3.1878623412180955}\n",
+      " > iteration 3/50, took 0:01:17 (remains: 1:00:55)\n",
+      "   | 0.2523 (best: 0.2720) - {'tie_breaker': 0.6197689614180639, 'url|boost': 6.238029902715746, 'title|boost': 1.4093745650562641, 'title_bigrams|boost': 5.4610378123339185, 'body|boost': 4.618324849359508, 'body_bigrams|boost': 0.9433030111854126}\n",
+      " > iteration 4/50, took 0:01:10 (remains: 0:54:02)\n",
+      "   | 0.2177 (best: 0.2720) - {'tie_breaker': 0.5577404844191136, 'url|boost': 1.8928274078386238, 'title|boost': 2.372333701812806, 'title_bigrams|boost': 4.723457192908565, 'body|boost': 1.352165304709272, 'body_bigrams|boost': 8.763302023166874}\n",
+      " > iteration 5/50, took 0:01:10 (remains: 0:52:55)\n",
+      "   | 0.2304 (best: 0.2720) - {'tie_breaker': 0.6497988353976208, 'url|boost': 9.654805398993581, 'title|boost': 8.133427141380253, 'title_bigrams|boost': 8.024540828148009, 'body|boost': 3.685831481438548, 'body_bigrams|boost': 1.6851615171256298}\n",
+      " > iteration 6/50, took 0:01:12 (remains: 0:53:01)\n",
+      "   | 0.2443 (best: 0.2720) - {'tie_breaker': 0.040354502841839286, 'url|boost': 6.529025140098177, 'title|boost': 8.638258691686628, 'title_bigrams|boost': 6.119726616149689, 'body|boost': 2.971259343642066, 'body_bigrams|boost': 3.4472667798118746}\n",
+      " > iteration 7/50, took 0:01:20 (remains: 0:57:24)\n",
+      "   | 0.2673 (best: 0.2720) - {'tie_breaker': 0.6588601705999682, 'url|boost': 0.5110868649177603, 'title|boost': 7.879295979655724, 'title_bigrams|boost': 2.122217052270013, 'body|boost': 8.085984675388177, 'body_bigrams|boost': 6.452074549095026}\n",
+      " > iteration 8/50, took 0:01:11 (remains: 0:50:02)\n",
+      "   | 0.2242 (best: 0.2720) - {'tie_breaker': 0.5465687570541572, 'url|boost': 7.951073537445968, 'title|boost': 0.26560165059258295, 'title_bigrams|boost': 1.3899107945737568, 'body|boost': 0.08746829887758435, 'body_bigrams|boost': 0.8929284936707339}\n",
+      " > iteration 9/50, took 0:01:19 (remains: 0:54:14)\n",
+      "   | 0.2340 (best: 0.2720) - {'tie_breaker': 0.9881433032074595, 'url|boost': 2.150932679566348, 'title|boost': 8.2697609939166, 'title_bigrams|boost': 9.19138231043371, 'body|boost': 4.493338558442044, 'body_bigrams|boost': 6.168792242192255}\n",
+      " > iteration 10/50, took 0:01:20 (remains: 0:53:27)\n",
+      "   | 0.2433 (best: 0.2720) - {'tie_breaker': 0.3342201742244249, 'url|boost': 9.25597813909501, 'title|boost': 0.19103090011414528, 'title_bigrams|boost': 7.424122370544698, 'body|boost': 5.351863436722663, 'body_bigrams|boost': 7.609094507146157}\n",
+      " > iteration 11/50, took 0:01:20 (remains: 0:52:07)\n",
+      "   | 0.2205 (best: 0.2720) - {'tie_breaker': 0.16665864520551935, 'url|boost': 6.256380717495946, 'title|boost': 3.962346200898792, 'title_bigrams|boost': 3.3433487552962053, 'body|boost': 3.8775598020097712, 'body_bigrams|boost': 9.787838742997872}\n",
+      " > iteration 12/50, took 0:01:19 (remains: 0:50:07)\n",
+      "   | 0.2470 (best: 0.2720) - {'tie_breaker': 0.8792242485937269, 'url|boost': 6.799576435817131, 'title|boost': 7.959083756502007, 'title_bigrams|boost': 2.7851014443399054, 'body|boost': 3.122846072384275, 'body_bigrams|boost': 7.716105794799892}\n",
+      " > iteration 13/50, took 0:01:12 (remains: 0:44:42)\n",
+      "   | 0.2507 (best: 0.2720) - {'tie_breaker': 0.5900668142043638, 'url|boost': 7.812123352904435, 'title|boost': 9.43138032166567, 'title_bigrams|boost': 8.318115719356186, 'body|boost': 6.3441758466403115, 'body_bigrams|boost': 4.264919558756896}\n",
+      " > iteration 14/50, took 0:01:20 (remains: 0:48:11)\n",
+      "   | 0.2739 (best: 0.2739) - {'tie_breaker': 0.6000848754966017, 'url|boost': 2.3352551762463185, 'title|boost': 1.298984430615552, 'title_bigrams|boost': 2.3678032457708404, 'body|boost': 7.887201955042897, 'body_bigrams|boost': 1.217370658281798}\n",
+      " > iteration 15/50, took 0:01:19 (remains: 0:46:11)\n",
+      "   | 0.2379 (best: 0.2739) - {'tie_breaker': 0.6765328416488153, 'url|boost': 4.779808703550667, 'title|boost': 3.280949665208422, 'title_bigrams|boost': 8.255116454589224, 'body|boost': 5.407083463975352, 'body_bigrams|boost': 9.708706715611509}\n",
+      " > iteration 16/50, took 0:01:13 (remains: 0:41:36)\n",
+      "   | 0.2758 (best: 0.2758) - {'tie_breaker': 0.26329842555773225, 'url|boost': 7.86718069011404, 'title|boost': 4.296737906280287, 'title_bigrams|boost': 0.8827146430507672, 'body|boost': 7.855564976550141, 'body_bigrams|boost': 2.7440100536877448}\n",
+      " > iteration 17/50, took 0:01:21 (remains: 0:45:01)\n",
+      "   | 0.2244 (best: 0.2758) - {'tie_breaker': 0.157552860524268, 'url|boost': 8.505288571599808, 'title|boost': 5.881525588596696, 'title_bigrams|boost': 0.454519528339078, 'body|boost': 4.498153309953871, 'body_bigrams|boost': 9.445895861281578}\n",
+      " > iteration 18/50, took 0:01:13 (remains: 0:39:03)\n",
+      "   | 0.2733 (best: 0.2758) - {'tie_breaker': 0.41085553606672454, 'url|boost': 5.3492830436955305, 'title|boost': 7.562839354748498, 'title_bigrams|boost': 1.901503337968737, 'body|boost': 8.32214807885485, 'body_bigrams|boost': 1.6677049426043635}\n",
+      " > iteration 19/50, took 0:01:11 (remains: 0:36:46)\n",
+      "   | 0.2391 (best: 0.2758) - {'tie_breaker': 0.9126912319504852, 'url|boost': 4.768962694019799, 'title|boost': 2.739684692183903, 'title_bigrams|boost': 2.1848942556592417, 'body|boost': 2.767939856737158, 'body_bigrams|boost': 9.848629344559908}\n",
+      " > iteration 20/50, took 0:01:20 (remains: 0:40:19)\n",
+      "   | 0.2231 (best: 0.2758) - {'tie_breaker': 0.36783587140956836, 'url|boost': 0.9059672204873416, 'title|boost': 5.902946016051924, 'title_bigrams|boost': 5.416178891097294, 'body|boost': 0.253512043117411, 'body_bigrams|boost': 5.492715646872238}\n",
+      " > iteration 21/50, took 0:01:21 (remains: 0:39:10)\n",
+      "   | 0.2626 (best: 0.2758) - {'tie_breaker': 1.0, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.803075068567018, 'body_bigrams|boost': 3.527587769794832}\n",
+      " > iteration 22/50, took 0:01:22 (remains: 0:38:19)\n",
+      "   | 0.2286 (best: 0.2758) - {'tie_breaker': 0.0020567125668886845, 'url|boost': 5.907556178191466, 'title|boost': 2.416224200272768, 'title_bigrams|boost': 6.943869332584876, 'body|boost': 7.340826500910325, 'body_bigrams|boost': 8.599066358026189}\n",
+      " > iteration 23/50, took 0:01:11 (remains: 0:32:23)\n",
+      "   | 0.2415 (best: 0.2758) - {'tie_breaker': 0.0, 'url|boost': 1.4517158071117056, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 7.787187803723141, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 24/50, took 0:01:23 (remains: 0:36:06)\n",
+      "   | 0.2652 (best: 0.2758) - {'tie_breaker': 0.443294617986197, 'url|boost': 7.248634071905756, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 4.025455367061511}\n",
+      " > iteration 25/50, took 0:01:21 (remains: 0:33:57)\n",
+      "   | 0.2731 (best: 0.2758) - {'tie_breaker': 0.41950019604586364, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 3.7314167778851677, 'body|boost': 8.200744699787334, 'body_bigrams|boost': 3.544911292710595}\n",
+      " > iteration 26/50, took 0:01:21 (remains: 0:32:47)\n",
+      "   | 0.2457 (best: 0.2758) - {'tie_breaker': 0.8072559962998214, 'url|boost': 0.3196477364310791, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 6.501085957328241, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 27/50, took 0:01:20 (remains: 0:31:02)\n",
+      "   | 0.2618 (best: 0.2758) - {'tie_breaker': 1.0, 'url|boost': 0.0, 'title|boost': 9.069574694764256, 'title_bigrams|boost': 4.9528933593195195, 'body|boost': 10.0, 'body_bigrams|boost': 1.48361555039775}\n",
+      " > iteration 28/50, took 0:01:21 (remains: 0:30:01)\n",
+      "   | 0.2569 (best: 0.2758) - {'tie_breaker': 0.5409601114327944, 'url|boost': 0.0, 'title|boost': 0.0, 'title_bigrams|boost': 1.8016733174378239, 'body|boost': 6.581745462031627, 'body_bigrams|boost': 3.921662184540402}\n",
+      " > iteration 29/50, took 0:01:20 (remains: 0:28:08)\n",
+      "   | 0.2613 (best: 0.2758) - {'tie_breaker': 0.7110682763571723, 'url|boost': 10.0, 'title|boost': 8.893841641352902, 'title_bigrams|boost': 2.809161368351216, 'body|boost': 7.318360202867989, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 30/50, took 0:01:22 (remains: 0:27:20)\n",
+      "   | 0.2733 (best: 0.2758) - {'tie_breaker': 0.5294227723111458, 'url|boost': 10.0, 'title|boost': 5.274283733946983, 'title_bigrams|boost': 2.8963858571166674, 'body|boost': 10.0, 'body_bigrams|boost': 3.0507232597677305}\n",
+      " > iteration 31/50, took 0:01:21 (remains: 0:25:47)\n",
+      "   | 0.2665 (best: 0.2758) - {'tie_breaker': 0.7586634458209783, 'url|boost': 4.724186959220325, 'title|boost': 9.25804028122496, 'title_bigrams|boost': 3.630797716587553, 'body|boost': 8.920546649045454, 'body_bigrams|boost': 3.8697371188219836}\n",
+      " > iteration 32/50, took 0:01:13 (remains: 0:22:09)\n",
+      "   | 0.2689 (best: 0.2758) - {'tie_breaker': 0.42297441275171477, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 7.363644564081521, 'body|boost': 10.0, 'body_bigrams|boost': 0.7910354640267183}\n",
+      " > iteration 33/50, took 0:01:22 (remains: 0:23:18)\n",
+      "   | 0.2766 (best: 0.2766) - {'tie_breaker': 0.325736076088434, 'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 3.0488483963386064}\n",
+      " > iteration 34/50, took 0:01:14 (remains: 0:19:46)\n",
+      "   | 0.2607 (best: 0.2766) - {'tie_breaker': 0.07049449751704319, 'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 4.099289234387956, 'body|boost': 10.0, 'body_bigrams|boost': 1.753231934560975}\n",
+      " > iteration 35/50, took 0:01:13 (remains: 0:18:18)\n",
+      "   | 0.2641 (best: 0.2766) - {'tie_breaker': 0.2971581668598097, 'url|boost': 9.822134354257365, 'title|boost': 10.0, 'title_bigrams|boost': 10.0, 'body|boost': 8.850694531210616, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 36/50, took 0:01:13 (remains: 0:17:07)\n",
+      "   | 0.2695 (best: 0.2766) - {'tie_breaker': 0.6812416379942575, 'url|boost': 7.132523043567645, 'title|boost': 6.569904756282725, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 37/50, took 0:01:22 (remains: 0:17:54)\n",
+      "   | 0.2759 (best: 0.2766) - {'tie_breaker': 0.44054666280894245, 'url|boost': 3.9469272830596145, 'title|boost': 8.314706688152857, 'title_bigrams|boost': 0.0, 'body|boost': 8.549351790260337, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 38/50, took 0:01:23 (remains: 0:16:40)\n",
+      "   | 0.2727 (best: 0.2766) - {'tie_breaker': 0.39128502678662624, 'url|boost': 7.668088823868031, 'title|boost': 6.529193001702253, 'title_bigrams|boost': 0.0, 'body|boost': 8.535859757727312, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 39/50, took 0:01:21 (remains: 0:14:55)\n",
+      "   | 0.2493 (best: 0.2766) - {'tie_breaker': 0.7371512103448874, 'url|boost': 2.662690280760944, 'title|boost': 2.118222530360952, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 10.0}\n",
+      " > iteration 40/50, took 0:01:13 (remains: 0:12:19)\n",
+      "   | 0.2779 (best: 0.2779) - {'tie_breaker': 0.44109124046909315, 'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 2.785470344700141, 'body|boost': 10.0, 'body_bigrams|boost': 1.1633009548547044}\n",
+      " > iteration 41/50, took 0:01:22 (remains: 0:12:20)\n",
+      "   | 0.2755 (best: 0.2779) - {'tie_breaker': 0.4385358790771414, 'url|boost': 5.8907195626162885, 'title|boost': 10.0, 'title_bigrams|boost': 2.6075451198654838, 'body|boost': 10.0, 'body_bigrams|boost': 1.450827153439054}\n",
+      " > iteration 42/50, took 0:01:22 (remains: 0:10:58)\n",
+      "   | 0.2739 (best: 0.2779) - {'tie_breaker': 0.4994752621875437, 'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 2.2975340729257305}\n",
+      " > iteration 43/50, took 0:01:12 (remains: 0:08:28)\n",
+      "   | 0.2499 (best: 0.2779) - {'tie_breaker': 1.0, 'url|boost': 9.476096566777688, 'title|boost': 10.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 10.0}\n",
+      " > iteration 44/50, took 0:01:13 (remains: 0:07:21)\n",
+      "   | 0.2494 (best: 0.2779) - {'tie_breaker': 0.7405384722519339, 'url|boost': 7.95488335757981, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 45/50, took 0:01:21 (remains: 0:06:45)\n",
+      "   | 0.2729 (best: 0.2779) - {'tie_breaker': 0.3775531707755636, 'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 2.9022848520229374, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 46/50, took 0:01:21 (remains: 0:05:24)\n",
+      "   | 0.2676 (best: 0.2779) - {'tie_breaker': 1.0, 'url|boost': 8.016580607723482, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 6.950545661658619}\n",
+      " > iteration 47/50, took 0:01:20 (remains: 0:04:02)\n",
+      "   | 0.2756 (best: 0.2779) - {'tie_breaker': 0.38690570449392764, 'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 3.2850275235186457, 'body|boost': 9.12917443173857, 'body_bigrams|boost': 2.6093541817829586}\n",
+      " > iteration 48/50, took 0:01:21 (remains: 0:02:43)\n",
+      "   | 0.2565 (best: 0.2779) - {'tie_breaker': 0.24230989724639918, 'url|boost': 0.0, 'title|boost': 4.24435568361746, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 3.3081096620325257}\n",
+      " > iteration 49/50, took 0:01:21 (remains: 0:01:21)\n",
+      "   | 0.2626 (best: 0.2779) - {'tie_breaker': 0.19784406684391048, 'url|boost': 1.037263069353518, 'title|boost': 4.136390995730322, 'title_bigrams|boost': 9.559418240484135, 'body|boost': 9.808684862612235, 'body_bigrams|boost': 1.1739328205210067}\n",
+      " > iteration 50/50, took 0:01:21 (remains: 0:00:00)\n",
+      "   | 0.2689 (best: 0.2779) - {'tie_breaker': 0.34671322812840905, 'url|boost': 8.432273180741634, 'title|boost': 8.907420257042366, 'title_bigrams|boost': 9.629609850637074, 'body|boost': 9.84988725961185, 'body_bigrams|boost': 7.241579197884343}\n",
+      "Best score: 0.2779\n",
+      "Best params: {'tie_breaker': 0.44109124046909315, 'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 2.785470344700141, 'body|boost': 10.0, 'body_bigrams|boost': 1.1633009548547044}\n",
+      "Final params: {'tie_breaker': 0.44109124046909315, 'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 2.785470344700141, 'body|boost': 10.0, 'body_bigrams|boost': 1.1633009548547044}\n",
+      "\n",
+      "CPU times: user 1min 16s, sys: 15.9 s, total: 1min 32s\n",
+      "Wall time: 1h 5min 1s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
+    "    config_space=Config.parse({\n",
+    "        'method': 'bayesian',\n",
+    "        'num_iterations': 50,\n",
+    "        'num_initial_points': 20,\n",
+    "        'space': {\n",
+    "            'tie_breaker': { 'low': 0.0, 'high': 1.0 },\n",
+    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "        }\n",
+    "    }))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 864x864 with 36 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plot_objective(metadata, sample_source='result')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2999\n",
+      "CPU times: user 2.09 s, sys: 723 ms, total: 2.81 s\n",
+      "Wall time: 5min 36s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'tie_breaker': 0.44109124046909315,\n",
+       " 'url|boost': 0.0,\n",
+       " 'title|boost': 10.0,\n",
+       " 'title_bigrams|boost': 2.785470344700141,\n",
+       " 'body|boost': 10.0,\n",
+       " 'body_bigrams|boost': 1.1633009548547044}"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_params"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Base fields + expansions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_templates = deepcopy(base_templates)\n",
+    "_templates[0]['template']['source']['query']['multi_match'] = {\n",
+    "    \"type\": query_type,\n",
+    "    \"query\": \"{{query_string}}\",\n",
+    "    \"tie_breaker\": \"{{tie_breaker}}\",\n",
+    "    \"fields\": [\n",
+    "        \"url^{{url|boost}}\",\n",
+    "        \"title^{{title|boost}}\",\n",
+    "        \"body^{{body|boost}}\",\n",
+    "        \"expansions^{{expansions|boost}}\",\n",
+    "    ]\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3229\n",
+      "CPU times: user 2.11 s, sys: 732 ms, total: 2.84 s\n",
+      "Wall time: 3min 2s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
+    "    'tie_breaker': 0.0,\n",
+    "    'url|boost': 1.0,\n",
+    "    'title|boost': 1.0,\n",
+    "    'body|boost': 1.0,\n",
+    "    'expansions|boost': 1.0,\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 1/50, took 0:00:47 (remains: 0:38:54)\n",
+      "   | 0.3198 (best: 0.3198) - {'tie_breaker': 0.2441472870263855, 'url|boost': 5.737621997286874, 'title|boost': 3.4061282962057877, 'body|boost': 8.124644875610626, 'expansions|boost': 4.9442869913670595}\n",
+      " > iteration 2/50, took 0:00:46 (remains: 0:37:31)\n",
+      "   | 0.3057 (best: 0.3198) - {'tie_breaker': 0.2002518769540354, 'url|boost': 1.1788615433267782, 'title|boost': 7.6185658362793625, 'body|boost': 6.2281907602722955, 'expansions|boost': 8.226097025532841}\n",
+      " > iteration 3/50, took 0:00:38 (remains: 0:29:50)\n",
+      "   | 0.2982 (best: 0.3198) - {'tie_breaker': 0.8777228695332421, 'url|boost': 3.3744081572251123, 'title|boost': 1.8426306807148631, 'body|boost': 0.32744444900890574, 'expansions|boost': 3.1851947407017174}\n",
+      " > iteration 4/50, took 0:00:45 (remains: 0:35:15)\n",
+      "   | 0.2750 (best: 0.3198) - {'tie_breaker': 0.614220095944086, 'url|boost': 3.4906472389277647, 'title|boost': 1.031896789428626, 'body|boost': 7.940382731469335, 'expansions|boost': 0.5892770605073262}\n",
+      " > iteration 5/50, took 0:00:38 (remains: 0:28:47)\n",
+      "   | 0.3153 (best: 0.3198) - {'tie_breaker': 0.3730989546511399, 'url|boost': 6.237158011022555, 'title|boost': 6.864481908038837, 'body|boost': 5.353283998910933, 'expansions|boost': 7.366129476662899}\n",
+      " > iteration 6/50, took 0:00:37 (remains: 0:27:27)\n",
+      "   | 0.3181 (best: 0.3198) - {'tie_breaker': 0.4277438327973577, 'url|boost': 3.5869664120712867, 'title|boost': 4.850144272723858, 'body|boost': 8.046830234547468, 'expansions|boost': 6.967197244223571}\n",
+      " > iteration 7/50, took 0:00:45 (remains: 0:32:46)\n",
+      "   | 0.3006 (best: 0.3198) - {'tie_breaker': 0.7174028692049816, 'url|boost': 7.946257708199048, 'title|boost': 3.9116539744988463, 'body|boost': 2.4366832737046957, 'expansions|boost': 6.109010835540939}\n",
+      " > iteration 8/50, took 0:00:37 (remains: 0:26:15)\n",
+      "   | 0.3073 (best: 0.3198) - {'tie_breaker': 0.4884531562810006, 'url|boost': 6.843596015414163, 'title|boost': 8.842151585072342, 'body|boost': 5.651279830475064, 'expansions|boost': 5.712136992956105}\n",
+      " > iteration 9/50, took 0:00:45 (remains: 0:30:57)\n",
+      "   | 0.3090 (best: 0.3198) - {'tie_breaker': 0.8734771061353704, 'url|boost': 4.04452594111215, 'title|boost': 7.670082608758346, 'body|boost': 7.46723005268199, 'expansions|boost': 8.338485814990616}\n",
+      " > iteration 10/50, took 0:00:38 (remains: 0:25:56)\n",
+      "   | 0.2785 (best: 0.3198) - {'tie_breaker': 0.25283494414420776, 'url|boost': 9.023869857677154, 'title|boost': 7.30696224693529, 'body|boost': 8.283793621149087, 'expansions|boost': 1.3268270269388718}\n",
+      " > iteration 11/50, took 0:00:37 (remains: 0:24:19)\n",
+      "   | 0.3112 (best: 0.3198) - {'tie_breaker': 0.8333392193430509, 'url|boost': 5.099240050436203, 'title|boost': 1.0302041471030157, 'body|boost': 3.9019468873212757, 'expansions|boost': 5.8737142642410625}\n",
+      " > iteration 12/50, took 0:00:44 (remains: 0:28:18)\n",
+      "   | 0.3187 (best: 0.3198) - {'tie_breaker': 0.4425765254280052, 'url|boost': 3.4466336829721063, 'title|boost': 0.18231351089467832, 'body|boost': 7.276600336679914, 'expansions|boost': 3.9658014936563966}\n",
+      " > iteration 13/50, took 0:00:45 (remains: 0:28:17)\n",
+      "   | 0.3162 (best: 0.3198) - {'tie_breaker': 0.6318056163768817, 'url|boost': 1.7833134900533134, 'title|boost': 1.6920490291124048, 'body|boost': 9.831681811872283, 'expansions|boost': 9.957012745179362}\n",
+      " > iteration 14/50, took 0:00:44 (remains: 0:26:56)\n",
+      "   | 0.3091 (best: 0.3198) - {'tie_breaker': 0.19943961236841573, 'url|boost': 4.025166093693194, 'title|boost': 3.3087562689720835, 'body|boost': 6.270196882939302, 'expansions|boost': 9.104300074298546}\n",
+      " > iteration 15/50, took 0:00:45 (remains: 0:26:37)\n",
+      "   | 0.3155 (best: 0.3198) - {'tie_breaker': 0.5093646826442819, 'url|boost': 5.2278980009309715, 'title|boost': 7.25565138513851, 'body|boost': 8.09611919548191, 'expansions|boost': 8.981515613524476}\n",
+      " > iteration 16/50, took 0:00:45 (remains: 0:25:40)\n",
+      "   | 0.3121 (best: 0.3198) - {'tie_breaker': 0.910187081462542, 'url|boost': 0.27260568657831447, 'title|boost': 4.230249880187183, 'body|boost': 5.374572899420605, 'expansions|boost': 4.913756566284103}\n",
+      " > iteration 17/50, took 0:00:37 (remains: 0:20:48)\n",
+      "   | 0.3002 (best: 0.3198) - {'tie_breaker': 0.7972861450966046, 'url|boost': 6.2928936367358235, 'title|boost': 9.886254215533208, 'body|boost': 1.8034626876527806, 'expansions|boost': 9.471505769280538}\n",
+      " > iteration 18/50, took 0:00:37 (remains: 0:20:11)\n",
+      "   | 0.3153 (best: 0.3198) - {'tie_breaker': 0.5458810042840344, 'url|boost': 5.217506602297036, 'title|boost': 3.963917586099739, 'body|boost': 6.0214972648413845, 'expansions|boost': 5.929054081385522}\n",
+      " > iteration 19/50, took 0:00:44 (remains: 0:22:48)\n",
+      "   | 0.3169 (best: 0.3198) - {'tie_breaker': 0.5618295900176224, 'url|boost': 6.090200842238337, 'title|boost': 3.185607549579004, 'body|boost': 4.847762352866987, 'expansions|boost': 7.996763418397981}\n",
+      " > iteration 20/50, took 0:00:40 (remains: 0:20:01)\n",
+      "   | 0.3050 (best: 0.3198) - {'tie_breaker': 0.5922382652014063, 'url|boost': 7.834879663854892, 'title|boost': 0.20405485715169316, 'body|boost': 1.1321979568114784, 'expansions|boost': 5.359237575402758}\n",
+      " > iteration 21/50, took 0:00:18 (remains: 0:08:51)\n",
+      "   | 0.2575 (best: 0.3198) - {'tie_breaker': 0.0, 'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 4.065641641400731}\n",
+      " > iteration 22/50, took 0:00:17 (remains: 0:08:21)\n",
+      "   | 0.3081 (best: 0.3198) - {'tie_breaker': 0.0, 'url|boost': 10.0, 'title|boost': 0.0, 'body|boost': 9.603287884818577, 'expansions|boost': 7.624220979270969}\n",
+      " > iteration 23/50, took 0:00:36 (remains: 0:16:12)\n",
+      "   | 0.3059 (best: 0.3198) - {'tie_breaker': 0.6660010569360953, 'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 0.0, 'expansions|boost': 6.715590935151892}\n",
+      " > iteration 24/50, took 0:00:28 (remains: 0:12:23)\n",
+      "   | 0.3090 (best: 0.3198) - {'tie_breaker': 1.0, 'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
+      " > iteration 25/50, took 0:00:38 (remains: 0:16:06)\n",
+      "   | 0.3182 (best: 0.3198) - {'tie_breaker': 0.3487482678432697, 'url|boost': 10.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
+      " > iteration 26/50, took 0:00:38 (remains: 0:15:26)\n",
+      "   | 0.3213 (best: 0.3213) - {'tie_breaker': 0.3258394921097989, 'url|boost': 9.568516610595951, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 5.8770418638913355}\n",
+      " > iteration 27/50, took 0:00:36 (remains: 0:13:52)\n",
+      "   | 0.3080 (best: 0.3213) - {'tie_breaker': 1.0, 'url|boost': 10.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
+      " > iteration 28/50, took 0:00:16 (remains: 0:06:03)\n",
+      "   | 0.3059 (best: 0.3213) - {'tie_breaker': 0.0, 'url|boost': 10.0, 'title|boost': 0.0, 'body|boost': 0.0, 'expansions|boost': 10.0}\n",
+      " > iteration 29/50, took 0:00:37 (remains: 0:13:09)\n",
+      "   | 0.3059 (best: 0.3213) - {'tie_breaker': 0.30426811261272824, 'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 0.0, 'expansions|boost': 5.25621047038123}\n",
+      " > iteration 30/50, took 0:00:30 (remains: 0:10:12)\n",
+      "   | 0.3072 (best: 0.3213) - {'tie_breaker': 1.0, 'url|boost': 2.5519363816857488, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 5.8810032450600245}\n",
+      " > iteration 31/50, took 0:00:45 (remains: 0:14:15)\n",
+      "   | 0.3202 (best: 0.3213) - {'tie_breaker': 0.35516504276196953, 'url|boost': 5.480094735478502, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 5.864652803292668}\n",
+      " > iteration 32/50, took 0:00:47 (remains: 0:14:23)\n",
+      "   | 0.3125 (best: 0.3213) - {'tie_breaker': 0.5180437968157371, 'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 5.743544272994454}\n",
+      " > iteration 33/50, took 0:00:36 (remains: 0:10:21)\n",
+      "   | 0.3088 (best: 0.3213) - {'tie_breaker': 0.4455073710725804, 'url|boost': 4.857285310150422, 'title|boost': 0.0, 'body|boost': 0.0, 'expansions|boost': 10.0}\n",
+      " > iteration 34/50, took 0:00:46 (remains: 0:12:31)\n",
+      "   | 0.3186 (best: 0.3213) - {'tie_breaker': 0.23089382822984134, 'url|boost': 10.0, 'title|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 7.516461677845196}\n",
+      " > iteration 35/50, took 0:00:44 (remains: 0:11:09)\n",
+      "   | 0.3202 (best: 0.3213) - {'tie_breaker': 0.2919960407127192, 'url|boost': 10.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 7.227907685075291}\n",
+      " > iteration 36/50, took 0:00:43 (remains: 0:10:12)\n",
+      "   | 0.3173 (best: 0.3213) - {'tie_breaker': 0.5926588678833962, 'url|boost': 10.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
+      " > iteration 37/50, took 0:00:16 (remains: 0:03:39)\n",
+      "   | 0.2614 (best: 0.3213) - {'tie_breaker': 1.0, 'url|boost': 0.0, 'title|boost': 2.1447899084559188, 'body|boost': 10.0, 'expansions|boost': 0.0}\n",
+      " > iteration 38/50, took 0:00:37 (remains: 0:07:34)\n",
+      "   | 0.3158 (best: 0.3213) - {'tie_breaker': 0.09137436400757154, 'url|boost': 10.0, 'title|boost': 6.944265288210758, 'body|boost': 9.846517901725528, 'expansions|boost': 6.358098995670475}\n",
+      " > iteration 39/50, took 0:00:44 (remains: 0:08:14)\n",
+      "   | 0.3126 (best: 0.3213) - {'tie_breaker': 0.20017582639691103, 'url|boost': 10.0, 'title|boost': 0.0, 'body|boost': 4.769043947308316, 'expansions|boost': 5.395814497635003}\n",
+      " > iteration 40/50, took 0:00:16 (remains: 0:02:48)\n",
+      "   | 0.3059 (best: 0.3213) - {'tie_breaker': 0.0, 'url|boost': 10.0, 'title|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
+      " > iteration 41/50, took 0:00:38 (remains: 0:05:45)\n",
+      "   | 0.3150 (best: 0.3213) - {'tie_breaker': 0.400282163381771, 'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
+      " > iteration 42/50, took 0:00:39 (remains: 0:05:14)\n",
+      "   | 0.2952 (best: 0.3213) - {'tie_breaker': 1.0, 'url|boost': 10.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 4.183103982653743}\n",
+      " > iteration 43/50, took 0:00:47 (remains: 0:05:29)\n",
+      "   | 0.3073 (best: 0.3213) - {'tie_breaker': 0.6435809215227882, 'url|boost': 0.38549172952064953, 'title|boost': 5.201915774668152, 'body|boost': 9.75251306587792, 'expansions|boost': 4.106997197204003}\n",
+      " > iteration 44/50, took 0:00:45 (remains: 0:04:35)\n",
+      "   | 0.3049 (best: 0.3213) - {'tie_breaker': 0.05839292810358833, 'url|boost': 0.19760687857162676, 'title|boost': 7.525585184298613, 'body|boost': 8.287271017874843, 'expansions|boost': 9.91869840692535}\n",
+      " > iteration 45/50, took 0:00:47 (remains: 0:03:56)\n",
+      "   | 0.3030 (best: 0.3213) - {'tie_breaker': 0.34974424262592146, 'url|boost': 10.0, 'title|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 4.661088934314962}\n",
+      " > iteration 46/50, took 0:00:38 (remains: 0:02:32)\n",
+      "   | 0.3114 (best: 0.3213) - {'tie_breaker': 0.49095415805758974, 'url|boost': 10.0, 'title|boost': 0.0, 'body|boost': 3.480696498388625, 'expansions|boost': 10.0}\n",
+      " > iteration 47/50, took 0:00:45 (remains: 0:02:15)\n",
+      "   | 0.3120 (best: 0.3213) - {'tie_breaker': 0.572601047246278, 'url|boost': 0.0, 'title|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
+      " > iteration 48/50, took 0:00:46 (remains: 0:01:32)\n",
+      "   | 0.3185 (best: 0.3213) - {'tie_breaker': 0.5659169419559624, 'url|boost': 8.19510091216253, 'title|boost': 0.15567286185369514, 'body|boost': 9.94211540290525, 'expansions|boost': 8.291167283834293}\n",
+      " > iteration 49/50, took 0:00:46 (remains: 0:00:46)\n",
+      "   | 0.3222 (best: 0.3222) - {'tie_breaker': 0.24016197941193704, 'url|boost': 6.922824728289295, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 6.912162717092728}\n",
+      " > iteration 50/50, took 0:00:45 (remains: 0:00:00)\n",
+      "   | 0.3202 (best: 0.3222) - {'tie_breaker': 0.37280037922061116, 'url|boost': 6.613523427938968, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 7.363597371946781}\n",
+      "Best score: 0.3222\n",
+      "Best params: {'tie_breaker': 0.24016197941193704, 'url|boost': 6.922824728289295, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 6.912162717092728}\n",
+      "Final params: {'tie_breaker': 0.24016197941193704, 'url|boost': 6.922824728289295, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 6.912162717092728}\n",
+      "\n",
+      "CPU times: user 1min 16s, sys: 16.3 s, total: 1min 33s\n",
+      "Wall time: 32min 46s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
+    "    config_space=Config.parse({\n",
+    "        'method': 'bayesian',\n",
+    "        'num_iterations': 50,\n",
+    "        'num_initial_points': 20,\n",
+    "        'space': {\n",
+    "            'tie_breaker': { 'low': 0.0, 'high': 1.0 },\n",
+    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'expansions|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "        }\n",
+    "    }))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 25 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plot_objective(metadata, sample_source='result')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3369\n",
+      "CPU times: user 2.15 s, sys: 634 ms, total: 2.78 s\n",
+      "Wall time: 3min 24s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'tie_breaker': 0.24016197941193704,\n",
+       " 'url|boost': 6.922824728289295,\n",
+       " 'title|boost': 0.0,\n",
+       " 'body|boost': 10.0,\n",
+       " 'expansions|boost': 6.912162717092728}"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_params"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Base fields + expansions + bigrams"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_templates = deepcopy(base_templates)\n",
+    "_templates[0]['template']['source']['query']['multi_match'] = {\n",
+    "    \"type\": query_type,\n",
+    "    \"query\": \"{{query_string}}\",\n",
+    "    \"tie_breaker\": \"{{tie_breaker}}\",\n",
+    "    \"fields\": [\n",
+    "        \"url^{{url|boost}}\",\n",
+    "        \"title^{{title|boost}}\",\n",
+    "        \"title.bigrams^{{title_bigrams|boost}}\",\n",
+    "        \"body^{{body|boost}}\",\n",
+    "        \"body.bigrams^{{body_bigrams|boost}}\",\n",
+    "        \"expansions^{{expansions|boost}}\",\n",
+    "        \"expansions.bigrams^{{expansions_bigrams|boost}}\"\n",
+    "    ]\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3240\n",
+      "CPU times: user 2.18 s, sys: 695 ms, total: 2.88 s\n",
+      "Wall time: 7min 12s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
+    "    'tie_breaker': 0.0,\n",
+    "    'url|boost': 1.0,\n",
+    "    'title|boost': 1.0,\n",
+    "    'title_bigrams|boost': 1.0,\n",
+    "    'body|boost': 1.0,\n",
+    "    'body_bigrams|boost': 1.0,\n",
+    "    'expansions|boost': 1.0,\n",
+    "    'expansions_bigrams|boost': 1.0\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 1/50, took 0:01:23 (remains: 1:08:07)\n",
+      "   | 0.3005 (best: 0.3005) - {'tie_breaker': 0.9820076479816153, 'url|boost': 0.7725592893156076, 'title|boost': 3.3357297854373074, 'title_bigrams|boost': 1.8300419016710914, 'body|boost': 9.824504170213512, 'body_bigrams|boost': 8.101351319678972, 'expansions|boost': 6.894224496819051, 'expansions_bigrams|boost': 8.092348816326012}\n",
+      " > iteration 2/50, took 0:01:22 (remains: 1:05:54)\n",
+      "   | 0.3077 (best: 0.3077) - {'tie_breaker': 0.9368647758039217, 'url|boost': 7.9224670082224, 'title|boost': 2.6508865074731363, 'title_bigrams|boost': 4.351732636698876, 'body|boost': 9.82932759939242, 'body_bigrams|boost': 2.709424960081757, 'expansions|boost': 9.68116033329841, 'expansions_bigrams|boost': 6.9099649169396}\n",
+      " > iteration 3/50, took 0:01:28 (remains: 1:09:35)\n",
+      "   | 0.3050 (best: 0.3077) - {'tie_breaker': 0.3357059597596174, 'url|boost': 1.9983540506185875, 'title|boost': 3.6168814552137567, 'title_bigrams|boost': 1.0811726235751764, 'body|boost': 7.156249849569502, 'body_bigrams|boost': 5.21142703722782, 'expansions|boost': 3.0453281692263774, 'expansions_bigrams|boost': 6.257737676596522}\n",
+      " > iteration 4/50, took 0:01:25 (remains: 1:05:43)\n",
+      "   | 0.3006 (best: 0.3077) - {'tie_breaker': 0.7686664736738171, 'url|boost': 8.054648668444594, 'title|boost': 8.306751387470557, 'title_bigrams|boost': 4.710061950970935, 'body|boost': 6.582409531844662, 'body_bigrams|boost': 0.23224409930560633, 'expansions|boost': 7.785862307622761, 'expansions_bigrams|boost': 1.9365890313790564}\n",
+      " > iteration 5/50, took 0:01:28 (remains: 1:06:00)\n",
+      "   | 0.2884 (best: 0.3077) - {'tie_breaker': 0.8803890573682466, 'url|boost': 8.063079573489194, 'title|boost': 0.5344112398044633, 'title_bigrams|boost': 5.614735554466605, 'body|boost': 6.113860483344197, 'body_bigrams|boost': 8.686729236054752, 'expansions|boost': 7.015539496688049, 'expansions_bigrams|boost': 0.4007593846015412}\n",
+      " > iteration 6/50, took 0:01:25 (remains: 1:02:43)\n",
+      "   | 0.3035 (best: 0.3077) - {'tie_breaker': 0.7464871421976953, 'url|boost': 7.782184843978717, 'title|boost': 2.558064632410974, 'title_bigrams|boost': 3.34231103633079, 'body|boost': 7.293273936599115, 'body_bigrams|boost': 0.17321575588220453, 'expansions|boost': 4.840534325863681, 'expansions_bigrams|boost': 2.2573941202220333}\n",
+      " > iteration 7/50, took 0:01:26 (remains: 1:01:53)\n",
+      "   | 0.3007 (best: 0.3077) - {'tie_breaker': 0.10207870921069498, 'url|boost': 1.4484122483753294, 'title|boost': 3.1223749593305787, 'title_bigrams|boost': 1.5992819211889011, 'body|boost': 9.085352913805576, 'body_bigrams|boost': 9.44936382541927, 'expansions|boost': 5.411768217552591, 'expansions_bigrams|boost': 8.667095711410814}\n",
+      " > iteration 8/50, took 0:01:28 (remains: 1:01:55)\n",
+      "   | 0.2515 (best: 0.3077) - {'tie_breaker': 0.34213542013927584, 'url|boost': 0.8392367732494178, 'title|boost': 3.332928683500313, 'title_bigrams|boost': 3.2898364626491867, 'body|boost': 0.9003656864642252, 'body_bigrams|boost': 4.125301399720767, 'expansions|boost': 1.163893666298166, 'expansions_bigrams|boost': 1.271820052243148}\n",
+      " > iteration 9/50, took 0:01:24 (remains: 0:57:45)\n",
+      "   | 0.2652 (best: 0.3077) - {'tie_breaker': 0.5694503987171226, 'url|boost': 2.848296342233046, 'title|boost': 6.589504660950043, 'title_bigrams|boost': 8.513064037158939, 'body|boost': 4.877959274116267, 'body_bigrams|boost': 6.038792179991938, 'expansions|boost': 1.8097028388925676, 'expansions_bigrams|boost': 2.7999754279999163}\n",
+      " > iteration 10/50, took 0:01:25 (remains: 0:57:09)\n",
+      "   | 0.2977 (best: 0.3077) - {'tie_breaker': 0.8395282281581405, 'url|boost': 8.731459092565323, 'title|boost': 4.1613895883887055, 'title_bigrams|boost': 2.7252318301838137, 'body|boost': 5.0841093981629735, 'body_bigrams|boost': 4.598579201632856, 'expansions|boost': 5.157136605267615, 'expansions_bigrams|boost': 6.359821778005301}\n",
+      " > iteration 11/50, took 0:01:29 (remains: 0:58:17)\n",
+      "   | 0.3002 (best: 0.3077) - {'tie_breaker': 0.5198240268834494, 'url|boost': 4.488115459810826, 'title|boost': 7.667298818425715, 'title_bigrams|boost': 0.9798814833190375, 'body|boost': 0.2295340602481655, 'body_bigrams|boost': 8.850091816618754, 'expansions|boost': 7.182146266890666, 'expansions_bigrams|boost': 7.988602659380923}\n",
+      " > iteration 12/50, took 0:01:33 (remains: 0:59:15)\n",
+      "   | 0.3106 (best: 0.3106) - {'tie_breaker': 0.14930771456619454, 'url|boost': 8.847841857991623, 'title|boost': 1.3084044209721182, 'title_bigrams|boost': 1.258636836399776, 'body|boost': 7.7055826403385055, 'body_bigrams|boost': 8.862809867203016, 'expansions|boost': 5.9617119837645625, 'expansions_bigrams|boost': 7.981983808383238}\n",
+      " > iteration 13/50, took 0:01:30 (remains: 0:55:30)\n",
+      "   | 0.3032 (best: 0.3106) - {'tie_breaker': 0.29154290977189495, 'url|boost': 8.207315604542085, 'title|boost': 7.9159368944368245, 'title_bigrams|boost': 0.12903021502217896, 'body|boost': 3.4140726749076227, 'body_bigrams|boost': 0.514875401909053, 'expansions|boost': 3.135500735131817, 'expansions_bigrams|boost': 1.2916389467480895}\n",
+      " > iteration 14/50, took 0:01:24 (remains: 0:50:51)\n",
+      "   | 0.2555 (best: 0.3106) - {'tie_breaker': 0.8237339158987514, 'url|boost': 1.822829202357791, 'title|boost': 8.970273962395368, 'title_bigrams|boost': 3.7775050853830616, 'body|boost': 0.18615870511463964, 'body_bigrams|boost': 3.58136110150081, 'expansions|boost': 0.16427443302317604, 'expansions_bigrams|boost': 3.6740378282628035}\n",
+      " > iteration 15/50, took 0:01:30 (remains: 0:52:48)\n",
+      "   | 0.3091 (best: 0.3106) - {'tie_breaker': 0.19244411452709181, 'url|boost': 2.7893544310950897, 'title|boost': 7.299579142787234, 'title_bigrams|boost': 7.76901236007851, 'body|boost': 5.206979287725318, 'body_bigrams|boost': 9.175864295574907, 'expansions|boost': 9.244472471270814, 'expansions_bigrams|boost': 9.637536090551496}\n",
+      " > iteration 16/50, took 0:01:28 (remains: 0:50:15)\n",
+      "   | 0.3058 (best: 0.3106) - {'tie_breaker': 0.0013428095813844412, 'url|boost': 4.666767474225032, 'title|boost': 9.747321499613408, 'title_bigrams|boost': 4.34089731170848, 'body|boost': 8.132858875764102, 'body_bigrams|boost': 0.9529577658735768, 'expansions|boost': 9.181698669485343, 'expansions_bigrams|boost': 2.6190197600323257}\n",
+      " > iteration 17/50, took 0:01:27 (remains: 0:48:09)\n",
+      "   | 0.3045 (best: 0.3106) - {'tie_breaker': 0.28011377051841596, 'url|boost': 3.898521413966922, 'title|boost': 2.261106224803828, 'title_bigrams|boost': 2.5750384657791443, 'body|boost': 9.370746825697058, 'body_bigrams|boost': 7.478950426406163, 'expansions|boost': 4.176849015746306, 'expansions_bigrams|boost': 9.242128946546185}\n",
+      " > iteration 18/50, took 0:01:29 (remains: 0:47:44)\n",
+      "   | 0.3033 (best: 0.3106) - {'tie_breaker': 0.0013487541911086922, 'url|boost': 5.3482565239220845, 'title|boost': 9.667029378805433, 'title_bigrams|boost': 1.2806308638635757, 'body|boost': 7.979283104765531, 'body_bigrams|boost': 6.869690694971332, 'expansions|boost': 7.562371708762708, 'expansions_bigrams|boost': 8.780720567080433}\n",
+      " > iteration 19/50, took 0:01:30 (remains: 0:46:40)\n",
+      "   | 0.2654 (best: 0.3106) - {'tie_breaker': 0.3873779349768547, 'url|boost': 1.1590150976453464, 'title|boost': 9.33380007471192, 'title_bigrams|boost': 9.78079504377321, 'body|boost': 5.8053224404210795, 'body_bigrams|boost': 6.2285214054845675, 'expansions|boost': 1.3043070710505913, 'expansions_bigrams|boost': 3.817872029522599}\n",
+      " > iteration 20/50, took 0:01:30 (remains: 0:45:04)\n",
+      "   | 0.2983 (best: 0.3106) - {'tie_breaker': 0.8168077370136533, 'url|boost': 7.964359098575596, 'title|boost': 4.9693226382737965, 'title_bigrams|boost': 4.829865285374254, 'body|boost': 6.554902058097976, 'body_bigrams|boost': 3.8875039262902766, 'expansions|boost': 7.320689124162594, 'expansions_bigrams|boost': 1.0460074398380084}\n",
+      " > iteration 21/50, took 0:01:27 (remains: 0:42:31)\n",
+      "   | 0.3036 (best: 0.3106) - {'tie_breaker': 1.0, 'url|boost': 10.0, 'title|boost': 4.341278346318968, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 6.603970980591157, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 22/50, took 0:01:29 (remains: 0:41:42)\n",
+      "   | 0.2800 (best: 0.3106) - {'tie_breaker': 0.4834214899823913, 'url|boost': 10.0, 'title|boost': 9.676123074934937, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.5490642134959285, 'expansions|boost': 0.0, 'expansions_bigrams|boost': 1.7945022323080526}\n",
+      " > iteration 23/50, took 0:01:30 (remains: 0:40:40)\n",
+      "   | 0.2676 (best: 0.3106) - {'tie_breaker': 1.0, 'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 10.0, 'body|boost': 0.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 24/50, took 0:01:26 (remains: 0:37:29)\n",
+      "   | 0.3037 (best: 0.3106) - {'tie_breaker': 1.0, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 5.629014102225899, 'body_bigrams|boost': 7.41841010289061, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.5438457173515925}\n",
+      " > iteration 25/50, took 0:01:26 (remains: 0:36:11)\n",
+      "   | 0.3066 (best: 0.3106) - {'tie_breaker': 0.0642264440793676, 'url|boost': 2.460176593071993, 'title|boost': 0.29452424380645, 'title_bigrams|boost': 0.0, 'body|boost': 9.680888878143325, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.097518640015355, 'expansions_bigrams|boost': 8.760176712455012}\n",
+      " > iteration 26/50, took 0:01:25 (remains: 0:34:11)\n",
+      "   | 0.3093 (best: 0.3106) - {'tie_breaker': 0.6311002506467469, 'url|boost': 10.0, 'title|boost': 5.2453888859448705, 'title_bigrams|boost': 0.0, 'body|boost': 6.6876134458149945, 'body_bigrams|boost': 0.0, 'expansions|boost': 5.4599862299002035, 'expansions_bigrams|boost': 4.543157924605365}\n",
+      " > iteration 27/50, took 0:01:16 (remains: 0:29:11)\n",
+      "   | 0.3062 (best: 0.3106) - {'tie_breaker': 0.0, 'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 3.0184688482878688, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 28/50, took 0:01:28 (remains: 0:32:17)\n",
+      "   | 0.3045 (best: 0.3106) - {'tie_breaker': 1.0, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 5.198846649333016, 'body_bigrams|boost': 0.45299829281319426, 'expansions|boost': 3.0318322332972554, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 29/50, took 0:01:29 (remains: 0:31:23)\n",
+      "   | 0.3024 (best: 0.3106) - {'tie_breaker': 0.9066032550960686, 'url|boost': 0.0, 'title|boost': 2.2381491524567423, 'title_bigrams|boost': 7.864619961027048, 'body|boost': 10.0, 'body_bigrams|boost': 1.2944933887317167, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 7.723109664879307}\n",
+      " > iteration 30/50, took 0:01:32 (remains: 0:30:57)\n",
+      "   | 0.2509 (best: 0.3106) - {'tie_breaker': 0.026996411427994, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 9.096871487452129, 'expansions|boost': 3.9527005247543228, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 31/50, took 0:01:26 (remains: 0:27:32)\n",
+      "   | 0.3041 (best: 0.3106) - {'tie_breaker': 0.907479362081647, 'url|boost': 9.436792768451447, 'title|boost': 0.0, 'title_bigrams|boost': 4.416693575690006, 'body|boost': 7.780880522850277, 'body_bigrams|boost': 0.0, 'expansions|boost': 5.923103505447013, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 32/50, took 0:01:24 (remains: 0:25:29)\n",
+      "   | 0.3139 (best: 0.3139) - {'tie_breaker': 0.15872541667783815, 'url|boost': 9.891106592231061, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 2.6600521638684826, 'body_bigrams|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 33/50, took 0:01:33 (remains: 0:26:32)\n",
+      "   | 0.3120 (best: 0.3139) - {'tie_breaker': 0.2085665984838101, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 0.0, 'body_bigrams|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 34/50, took 0:01:34 (remains: 0:25:05)\n",
+      "   | 0.2874 (best: 0.3139) - {'tie_breaker': 0.08156944543701627, 'url|boost': 10.0, 'title|boost': 8.697513620317334, 'title_bigrams|boost': 1.4627635287579057, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 3.163510747224221, 'expansions_bigrams|boost': 5.664386124255476}\n",
+      " > iteration 35/50, took 0:01:27 (remains: 0:21:55)\n",
+      "   | 0.2916 (best: 0.3139) - {'tie_breaker': 0.6439189402411595, 'url|boost': 2.980137079022263, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 4.253789745372667, 'body_bigrams|boost': 10.0, 'expansions|boost': 5.262856804816942, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 36/50, took 0:01:34 (remains: 0:22:02)\n",
+      "   | 0.3064 (best: 0.3139) - {'tie_breaker': 0.30580376461520364, 'url|boost': 0.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 0.0, 'body_bigrams|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 37/50, took 0:01:34 (remains: 0:20:24)\n",
+      "   | 0.3091 (best: 0.3139) - {'tie_breaker': 0.044043619517210204, 'url|boost': 10.0, 'title|boost': 1.1517213765463088, 'title_bigrams|boost': 5.402595863022503, 'body|boost': 0.9084532332476047, 'body_bigrams|boost': 0.0, 'expansions|boost': 4.536592430021082, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 38/50, took 0:01:21 (remains: 0:16:19)\n",
+      "   | 0.3082 (best: 0.3139) - {'tie_breaker': 0.0, 'url|boost': 10.0, 'title|boost': 3.404701123742267, 'title_bigrams|boost': 0.04964865127102098, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.826713029381681, 'expansions_bigrams|boost': 5.342622647912105}\n",
+      " > iteration 39/50, took 0:01:31 (remains: 0:16:43)\n",
+      "   | 0.3062 (best: 0.3139) - {'tie_breaker': 0.0, 'url|boost': 10.0, 'title|boost': 1.1197935323778823, 'title_bigrams|boost': 1.3202528798158963, 'body|boost': 10.0, 'body_bigrams|boost': 7.384163934090825, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 40/50, took 0:01:32 (remains: 0:15:29)\n",
+      "   | 0.2939 (best: 0.3139) - {'tie_breaker': 0.0, 'url|boost': 10.0, 'title|boost': 0.447042314196587, 'title_bigrams|boost': 0.7679874100850679, 'body|boost': 10.0, 'body_bigrams|boost': 4.645817102351069, 'expansions|boost': 2.0708813313874908, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 41/50, took 0:01:25 (remains: 0:12:50)\n",
+      "   | 0.3057 (best: 0.3139) - {'tie_breaker': 0.0, 'url|boost': 0.0, 'title|boost': 2.8800544696104318, 'title_bigrams|boost': 2.019547343638694, 'body|boost': 10.0, 'body_bigrams|boost': 4.114759180090202, 'expansions|boost': 9.368174881571415, 'expansions_bigrams|boost': 3.895114449354009}\n",
+      " > iteration 42/50, took 0:01:36 (remains: 0:12:50)\n",
+      "   | 0.3039 (best: 0.3139) - {'tie_breaker': 0.003380903024674454, 'url|boost': 0.0, 'title|boost': 8.623907433606341, 'title_bigrams|boost': 7.180328684706296, 'body|boost': 1.7861644598120707, 'body_bigrams|boost': 0.0, 'expansions|boost': 3.849442275670674, 'expansions_bigrams|boost': 4.455815888321981}\n",
+      " > iteration 43/50, took 0:01:28 (remains: 0:10:21)\n",
+      "   | 0.3058 (best: 0.3139) - {'tie_breaker': 0.0, 'url|boost': 10.0, 'title|boost': 3.182266489787488, 'title_bigrams|boost': 2.0366318424412184, 'body|boost': 10.0, 'body_bigrams|boost': 10.0, 'expansions|boost': 9.511752087751857, 'expansions_bigrams|boost': 6.928522618088458}\n",
+      " > iteration 44/50, took 0:01:31 (remains: 0:09:06)\n",
+      "   | 0.3021 (best: 0.3139) - {'tie_breaker': 0.40161105348050685, 'url|boost': 10.0, 'title|boost': 1.684839909733106, 'title_bigrams|boost': 9.863135214790418, 'body|boost': 1.538643275953008, 'body_bigrams|boost': 10.0, 'expansions|boost': 8.756901465325843, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 45/50, took 0:01:31 (remains: 0:07:38)\n",
+      "   | 0.3198 (best: 0.3198) - {'tie_breaker': 0.2515703408477766, 'url|boost': 10.0, 'title|boost': 0.49757053910547167, 'title_bigrams|boost': 0.6611879285665284, 'body|boost': 9.309973785339373, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.385818526837527, 'expansions_bigrams|boost': 4.214928717434613}\n",
+      " > iteration 46/50, took 0:01:17 (remains: 0:05:08)\n",
+      "   | 0.3059 (best: 0.3198) - {'tie_breaker': 0.0, 'url|boost': 0.0, 'title|boost': 1.142443131482735, 'title_bigrams|boost': 2.602584529478404, 'body|boost': 6.072376289299396, 'body_bigrams|boost': 0.0, 'expansions|boost': 5.913156195707202, 'expansions_bigrams|boost': 2.4896162935399886}\n",
+      " > iteration 47/50, took 0:01:31 (remains: 0:04:35)\n",
+      "   | 0.3196 (best: 0.3198) - {'tie_breaker': 0.2585414535852449, 'url|boost': 10.0, 'title|boost': 2.689574512298737, 'title_bigrams|boost': 3.319592132364266, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.98905863177748, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 48/50, took 0:01:26 (remains: 0:02:53)\n",
+      "   | 0.3172 (best: 0.3198) - {'tie_breaker': 0.3608250098002222, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 7.746214482985666, 'body_bigrams|boost': 4.142056077246487, 'expansions|boost': 8.648956226758987, 'expansions_bigrams|boost': 5.701996620086225}\n",
+      " > iteration 49/50, took 0:01:26 (remains: 0:01:26)\n",
+      "   | 0.3093 (best: 0.3198) - {'tie_breaker': 0.19856510635546318, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 3.8804674006393647, 'body|boost': 0.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.723279572438539, 'expansions_bigrams|boost': 5.153837494907773}\n",
+      " > iteration 50/50, took 0:01:17 (remains: 0:00:00)\n",
+      "   | 0.2901 (best: 0.3198) - {'tie_breaker': 0.0, 'url|boost': 6.895647157851373, 'title|boost': 0.0, 'title_bigrams|boost': 9.446681908378098, 'body|boost': 0.0, 'body_bigrams|boost': 5.479155520668961, 'expansions|boost': 5.621878463069496, 'expansions_bigrams|boost': 10.0}\n",
+      "Best score: 0.3198\n",
+      "Best params: {'tie_breaker': 0.2515703408477766, 'url|boost': 10.0, 'title|boost': 0.49757053910547167, 'title_bigrams|boost': 0.6611879285665284, 'body|boost': 9.309973785339373, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.385818526837527, 'expansions_bigrams|boost': 4.214928717434613}\n",
+      "Final params: {'tie_breaker': 0.2515703408477766, 'url|boost': 10.0, 'title|boost': 0.49757053910547167, 'title_bigrams|boost': 0.6611879285665284, 'body|boost': 9.309973785339373, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.385818526837527, 'expansions_bigrams|boost': 4.214928717434613}\n",
+      "\n",
+      "CPU times: user 1min 24s, sys: 16.4 s, total: 1min 40s\n",
+      "Wall time: 1h 13min 22s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
+    "    config_space=Config.parse({\n",
+    "        'method': 'bayesian',\n",
+    "        'num_iterations': 50,\n",
+    "        'num_initial_points': 20,\n",
+    "        'space': {\n",
+    "            'tie_breaker': { 'low': 0.0, 'high': 1.0 },\n",
+    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'expansions|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'expansions_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "        }\n",
+    "    }))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 1152x1152 with 64 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plot_objective(metadata, sample_source='result')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3420\n",
+      "CPU times: user 1.98 s, sys: 729 ms, total: 2.71 s\n",
+      "Wall time: 7min 16s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'tie_breaker': 0.2515703408477766,\n",
+       " 'url|boost': 10.0,\n",
+       " 'title|boost': 0.49757053910547167,\n",
+       " 'title_bigrams|boost': 0.6611879285665284,\n",
+       " 'body|boost': 9.309973785339373,\n",
+       " 'body_bigrams|boost': 0.0,\n",
+       " 'expansions|boost': 6.385818526837527,\n",
+       " 'expansions_bigrams|boost': 4.214928717434613}"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_params"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'tie_breaker': 0.2515703408477766,\n",
+       " 'url|boost': 10.0,\n",
+       " 'title|boost': 0.49757053910547167,\n",
+       " 'title_bigrams|boost': 0.6611879285665284,\n",
+       " 'body|boost': 9.309973785339373,\n",
+       " 'body_bigrams|boost': 0.0,\n",
+       " 'expansions|boost': 6.385818526837527,\n",
+       " 'expansions_bigrams|boost': 4.214928717434613}"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# with 50/20 iterations\n",
+    "# this is very rare to get such a good score with this method, it's rather an outlier\n",
+    "# 0.3420\n",
+    "\n",
+    "{\n",
+    "    'tie_breaker': 0.2515703408477766,\n",
+    "    'url|boost': 10.0,\n",
+    "    'title|boost': 0.49757053910547167,\n",
+    "    'title_bigrams|boost': 0.6611879285665284,\n",
+    "    'body|boost': 9.309973785339373,\n",
+    "    'body_bigrams|boost': 0.0,\n",
+    "    'expansions|boost': 6.385818526837527,\n",
+    "    'expansions_bigrams|boost': 4.214928717434613\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'tie_breaker': 0.34264786943520714,\n",
+       " 'url|boost': 8.081607931138247,\n",
+       " 'title|boost': 0.24382652301551416,\n",
+       " 'title_bigrams|boost': 4.058979748921878,\n",
+       " 'body|boost': 9.971984154578822,\n",
+       " 'body_bigrams|boost': 3.9355330350086835,\n",
+       " 'expansions|boost': 9.638733168279646,\n",
+       " 'expansions_bigrams|boost': 2.9191170895752454}"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# with 50/20 iterations\n",
+    "# this is very rare to get such a good score with this method, it's rather an outlier\n",
+    "# 0.3419\n",
+    "\n",
+    "{\n",
+    "    'tie_breaker': 0.34264786943520714,\n",
+    "    'url|boost': 8.081607931138247,\n",
+    "    'title|boost': 0.24382652301551416,\n",
+    "    'title_bigrams|boost': 4.058979748921878,\n",
+    "    'body|boost': 9.971984154578822,\n",
+    "    'body_bigrams|boost': 3.9355330350086835,\n",
+    "    'expansions|boost': 9.638733168279646,\n",
+    "    'expansions_bigrams|boost': 2.9191170895752454\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Selective fields\n",
+    "\n",
+    "Based on the results from above, remove fields with `0` boost values."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_templates = deepcopy(base_templates)\n",
+    "_templates[0]['template']['source']['query']['multi_match'] = {\n",
+    "    \"type\": query_type,\n",
+    "    \"query\": \"{{query_string}}\",\n",
+    "    \"tie_breaker\": \"{{tie_breaker}}\",\n",
+    "    \"fields\": [\n",
+    "        \"url^{{url|boost}}\",\n",
+    "        \"title^{{title|boost}}\",\n",
+    "        \"title.bigrams^{{title_bigrams|boost}}\",\n",
+    "        \"body^{{body|boost}}\",\n",
+    "        \"expansions^{{expansions|boost}}\",\n",
+    "        \"expansions.bigrams^{{expansions_bigrams|boost}}\"\n",
+    "    ]\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3227\n",
+      "CPU times: user 2.51 s, sys: 890 ms, total: 3.4 s\n",
+      "Wall time: 4min 1s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
+    "    'tie_breaker': 0.0,\n",
+    "    'url|boost': 1.0,\n",
+    "    'title|boost': 1.0,\n",
+    "    'title_bigrams|boost': 1.0,\n",
+    "    'body|boost': 1.0,\n",
+    "    'expansions|boost': 1.0,\n",
+    "    'expansions_bigrams|boost': 1.0\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 1/100, took 0:01:43 (remains: 2:50:41)\n",
+      "   | 0.2765 (best: 0.2765) - {'tie_breaker': 0.7466670038217349, 'url|boost': 2.8620523258721713, 'title|boost': 3.6358951240563937, 'title_bigrams|boost': 5.029498890908536, 'body|boost': 9.970445978211018, 'expansions|boost': 0.056207645335423224, 'expansions_bigrams|boost': 1.4587061059131947}\n",
+      " > iteration 2/100, took 0:01:42 (remains: 2:48:02)\n",
+      "   | 0.3149 (best: 0.3149) - {'tie_breaker': 0.3871945151348928, 'url|boost': 5.898947306526266, 'title|boost': 9.423621485264105, 'title_bigrams|boost': 0.33967871361786145, 'body|boost': 5.584726094041797, 'expansions|boost': 9.989057007163119, 'expansions_bigrams|boost': 1.5629255827286583}\n",
+      " > iteration 3/100, took 0:01:35 (remains: 2:35:10)\n",
+      "   | 0.3178 (best: 0.3178) - {'tie_breaker': 0.45218100792189075, 'url|boost': 6.318729112700322, 'title|boost': 2.354836531912046, 'title_bigrams|boost': 3.589950438304192, 'body|boost': 6.779314121295523, 'expansions|boost': 8.59331100153999, 'expansions_bigrams|boost': 2.3819907006147316}\n",
+      " > iteration 4/100, took 0:01:36 (remains: 2:33:54)\n",
+      "   | 0.2807 (best: 0.3178) - {'tie_breaker': 0.8701083370236599, 'url|boost': 0.15919514277273897, 'title|boost': 4.412707929682681, 'title_bigrams|boost': 9.972804886252607, 'body|boost': 1.1558388383359632, 'expansions|boost': 7.364169946571649, 'expansions_bigrams|boost': 4.707805799003238}\n",
+      " > iteration 5/100, took 0:01:44 (remains: 2:45:25)\n",
+      "   | 0.2964 (best: 0.3178) - {'tie_breaker': 0.7043068654928117, 'url|boost': 3.3362589001328375, 'title|boost': 5.0578553495563225, 'title_bigrams|boost': 4.914558860853907, 'body|boost': 7.602836209423492, 'expansions|boost': 3.6696716191388608, 'expansions_bigrams|boost': 1.618754146565721}\n",
+      " > iteration 6/100, took 0:01:37 (remains: 2:32:54)\n",
+      "   | 0.3146 (best: 0.3178) - {'tie_breaker': 0.43892321805999424, 'url|boost': 5.448417214948663, 'title|boost': 8.134970021883472, 'title_bigrams|boost': 2.750895163171885, 'body|boost': 8.407583046354228, 'expansions|boost': 9.657511651434023, 'expansions_bigrams|boost': 4.397046401242033}\n",
+      " > iteration 7/100, took 0:01:33 (remains: 2:24:25)\n",
+      "   | 0.3052 (best: 0.3178) - {'tie_breaker': 0.4726573418241198, 'url|boost': 9.771773157449296, 'title|boost': 4.56403601257078, 'title_bigrams|boost': 0.4581858567216191, 'body|boost': 3.8470740243514023, 'expansions|boost': 4.690910978663572, 'expansions_bigrams|boost': 3.2563537084854937}\n",
+      " > iteration 8/100, took 0:01:40 (remains: 2:33:51)\n",
+      "   | 0.3016 (best: 0.3178) - {'tie_breaker': 0.527497319316899, 'url|boost': 7.606049720946622, 'title|boost': 1.6763440457490277, 'title_bigrams|boost': 2.8343688649059446, 'body|boost': 4.684097922955787, 'expansions|boost': 1.806530701428193, 'expansions_bigrams|boost': 5.03566678606199}\n",
+      " > iteration 9/100, took 0:01:40 (remains: 2:31:46)\n",
+      "   | 0.2961 (best: 0.3178) - {'tie_breaker': 0.4410295100774544, 'url|boost': 1.5301035735463289, 'title|boost': 6.985097995312257, 'title_bigrams|boost': 2.600734336482409, 'body|boost': 6.564936832556503, 'expansions|boost': 0.3538231293143124, 'expansions_bigrams|boost': 9.561318238966237}\n",
+      " > iteration 10/100, took 0:01:34 (remains: 2:21:36)\n",
+      "   | 0.3101 (best: 0.3178) - {'tie_breaker': 0.48543021020397314, 'url|boost': 5.874754238926433, 'title|boost': 7.894089885018322, 'title_bigrams|boost': 0.36599438846455895, 'body|boost': 5.472460974376855, 'expansions|boost': 3.067681099436677, 'expansions_bigrams|boost': 3.2147080292333623}\n",
+      " > iteration 11/100, took 0:01:36 (remains: 2:22:32)\n",
+      "   | 0.3052 (best: 0.3178) - {'tie_breaker': 0.0017707890423918076, 'url|boost': 4.364062754932906, 'title|boost': 2.810656930145426, 'title_bigrams|boost': 2.3063358555273035, 'body|boost': 3.918253959619411, 'expansions|boost': 8.677008226359042, 'expansions_bigrams|boost': 5.267473633894468}\n",
+      " > iteration 12/100, took 0:01:39 (remains: 2:26:22)\n",
+      "   | 0.2999 (best: 0.3178) - {'tie_breaker': 0.3681080670243491, 'url|boost': 1.8221502003516556, 'title|boost': 3.797596119153445, 'title_bigrams|boost': 2.0712205416976976, 'body|boost': 2.2035151771211363, 'expansions|boost': 3.9244345456607532, 'expansions_bigrams|boost': 7.4833099183479295}\n",
+      " > iteration 13/100, took 0:01:34 (remains: 2:17:25)\n",
+      "   | 0.2780 (best: 0.3178) - {'tie_breaker': 0.4013854952761754, 'url|boost': 5.115518193492381, 'title|boost': 9.452558098225825, 'title_bigrams|boost': 7.381999912053473, 'body|boost': 9.123023084221249, 'expansions|boost': 1.3430562103956891, 'expansions_bigrams|boost': 1.1609439314354855}\n",
+      " > iteration 14/100, took 0:01:36 (remains: 2:17:43)\n",
+      "   | 0.3081 (best: 0.3178) - {'tie_breaker': 0.029631002634946897, 'url|boost': 5.671296977413753, 'title|boost': 0.6043698290210365, 'title_bigrams|boost': 8.12925499921861, 'body|boost': 6.2651607687708175, 'expansions|boost': 7.37108967589375, 'expansions_bigrams|boost': 5.799910620342173}\n",
+      " > iteration 15/100, took 0:01:34 (remains: 2:14:11)\n",
+      "   | 0.2715 (best: 0.3178) - {'tie_breaker': 0.8035443204940346, 'url|boost': 2.578319081453399, 'title|boost': 9.728022608979703, 'title_bigrams|boost': 7.1571139151338805, 'body|boost': 4.811006991617388, 'expansions|boost': 3.202892400721766, 'expansions_bigrams|boost': 2.373665072344347}\n",
+      " > iteration 16/100, took 0:01:34 (remains: 2:11:48)\n",
+      "   | 0.3161 (best: 0.3178) - {'tie_breaker': 0.0816340025923409, 'url|boost': 5.647728082137292, 'title|boost': 1.646305829624565, 'title_bigrams|boost': 8.885031918818564, 'body|boost': 9.094374478530115, 'expansions|boost': 6.051179249854504, 'expansions_bigrams|boost': 0.9930853129680863}\n",
+      " > iteration 17/100, took 0:01:34 (remains: 2:10:21)\n",
+      "   | 0.2973 (best: 0.3178) - {'tie_breaker': 0.6985091176823738, 'url|boost': 6.728258246095432, 'title|boost': 7.474317636288669, 'title_bigrams|boost': 6.436651168681888, 'body|boost': 7.954380767684846, 'expansions|boost': 6.301156058930254, 'expansions_bigrams|boost': 4.732456106415043}\n",
+      " > iteration 18/100, took 0:01:38 (remains: 2:14:03)\n",
+      "   | 0.2786 (best: 0.3178) - {'tie_breaker': 0.9231693478247496, 'url|boost': 3.447068482759548, 'title|boost': 3.760045141866332, 'title_bigrams|boost': 8.13947306664341, 'body|boost': 1.1624129797111629, 'expansions|boost': 4.515224929826273, 'expansions_bigrams|boost': 6.333079417630585}\n",
+      " > iteration 19/100, took 0:01:34 (remains: 2:07:59)\n",
+      "   | 0.2697 (best: 0.3178) - {'tie_breaker': 0.8984990475637488, 'url|boost': 7.884562078066931, 'title|boost': 8.874834297436337, 'title_bigrams|boost': 5.219354925288767, 'body|boost': 4.978282611183188, 'expansions|boost': 0.8629075843575419, 'expansions_bigrams|boost': 3.2775811168221174}\n",
+      " > iteration 20/100, took 0:01:33 (remains: 2:05:05)\n",
+      "   | 0.2935 (best: 0.3178) - {'tie_breaker': 0.8407982142609437, 'url|boost': 1.854590771272844, 'title|boost': 8.960316877058245, 'title_bigrams|boost': 4.39993616141418, 'body|boost': 4.0341738864274514, 'expansions|boost': 6.600134662043896, 'expansions_bigrams|boost': 1.1559630868980666}\n",
+      " > iteration 21/100, took 0:00:19 (remains: 0:26:06)\n",
+      "   | 0.3114 (best: 0.3178) - {'tie_breaker': 0.0, 'url|boost': 4.85567515539133, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 6.7776414353595, 'expansions_bigrams|boost': 0.8536698109338245}\n",
+      " > iteration 22/100, took 0:01:29 (remains: 1:56:29)\n",
+      "   | 0.3156 (best: 0.3178) - {'tie_breaker': 0.30360942473198177, 'url|boost': 3.383796046816752, 'title|boost': 0.0, 'title_bigrams|boost': 6.670009416197256, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 1.7420620518569108}\n",
+      " > iteration 23/100, took 0:01:27 (remains: 1:52:29)\n",
+      "   | 0.3142 (best: 0.3178) - {'tie_breaker': 0.9589317149360265, 'url|boost': 2.8607490704490557, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 8.017924920130419}\n",
+      " > iteration 24/100, took 0:00:19 (remains: 0:24:36)\n",
+      "   | 0.3103 (best: 0.3178) - {'tie_breaker': 0.0, 'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 5.807955306809425, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 25/100, took 0:00:17 (remains: 0:22:08)\n",
+      "   | 0.3127 (best: 0.3178) - {'tie_breaker': 0.0, 'url|boost': 5.487354705040729, 'title|boost': 0.0, 'title_bigrams|boost': 5.469094204055579, 'body|boost': 10.0, 'expansions|boost': 6.266450593209888, 'expansions_bigrams|boost': 1.8921687412694101}\n",
+      " > iteration 26/100, took 0:00:16 (remains: 0:19:48)\n",
+      "   | 0.3054 (best: 0.3178) - {'tie_breaker': 0.0, 'url|boost': 5.0603650387676495, 'title|boost': 10.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 2.924191427570244}\n",
+      " > iteration 27/100, took 0:01:20 (remains: 1:38:08)\n",
+      "   | 0.3139 (best: 0.3178) - {'tie_breaker': 0.5207208132448033, 'url|boost': 0.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 7.614431066734388, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 28/100, took 0:01:10 (remains: 1:24:19)\n",
+      "   | 0.3155 (best: 0.3178) - {'tie_breaker': 1.0, 'url|boost': 1.765369226800271, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 1.9471456713539212}\n",
+      " > iteration 29/100, took 0:01:10 (remains: 1:22:50)\n",
+      "   | 0.2952 (best: 0.3178) - {'tie_breaker': 1.0, 'url|boost': 0.0, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 8.109368558769853, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 30/100, took 0:01:28 (remains: 1:43:01)\n",
+      "   | 0.3163 (best: 0.3178) - {'tie_breaker': 0.688537082289856, 'url|boost': 9.601930526947864, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 5.156393106426812, 'expansions_bigrams|boost': 4.707203939692892}\n",
+      " > iteration 31/100, took 0:01:27 (remains: 1:40:33)\n",
+      "   | 0.3155 (best: 0.3178) - {'tie_breaker': 0.52585480782439, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 2.887069150583282, 'body|boost': 10.0, 'expansions|boost': 8.42197932085561, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 32/100, took 0:00:20 (remains: 0:23:16)\n",
+      "   | 0.2426 (best: 0.3178) - {'tie_breaker': 0.0, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 0.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 33/100, took 0:01:34 (remains: 1:45:03)\n",
+      "   | 0.3126 (best: 0.3178) - {'tie_breaker': 0.30896892510183577, 'url|boost': 7.303598812323841, 'title|boost': 0.830611168193417, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 7.395338775452536, 'expansions_bigrams|boost': 4.340719387736943}\n",
+      " > iteration 34/100, took 0:01:34 (remains: 1:44:15)\n",
+      "   | 0.3078 (best: 0.3178) - {'tie_breaker': 0.24305474276471534, 'url|boost': 1.1611833628047625, 'title|boost': 4.029676129309757, 'title_bigrams|boost': 0.0, 'body|boost': 8.92248770767048, 'expansions|boost': 7.598216325364977, 'expansions_bigrams|boost': 9.781991624811578}\n",
+      " > iteration 35/100, took 0:01:09 (remains: 1:15:18)\n",
+      "   | 0.2938 (best: 0.3178) - {'tie_breaker': 0.4554788145371933, 'url|boost': 0.0, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 36/100, took 0:01:17 (remains: 1:22:46)\n",
+      "   | 0.3116 (best: 0.3178) - {'tie_breaker': 1.0, 'url|boost': 6.9187670601509055, 'title|boost': 0.46897293657223493, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 5.013016207226729, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 37/100, took 0:01:27 (remains: 1:31:33)\n",
+      "   | 0.3176 (best: 0.3178) - {'tie_breaker': 0.2539922415828673, 'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 3.766805752087417, 'body|boost': 10.0, 'expansions|boost': 7.694309505379328, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 38/100, took 0:01:29 (remains: 1:32:44)\n",
+      "   | 0.3092 (best: 0.3178) - {'tie_breaker': 0.662566867129297, 'url|boost': 5.187059276327356, 'title|boost': 3.2968737972854716, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 2.4829259402915786, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 39/100, took 0:00:56 (remains: 0:57:40)\n",
+      "   | 0.3015 (best: 0.3178) - {'tie_breaker': 1.0, 'url|boost': 0.9731496970532426, 'title|boost': 1.165845123567105, 'title_bigrams|boost': 0.0, 'body|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 40/100, took 0:01:25 (remains: 1:25:02)\n",
+      "   | 0.3124 (best: 0.3178) - {'tie_breaker': 0.5030301410317323, 'url|boost': 0.5402017469373965, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 7.70502526480403, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 41/100, took 0:01:09 (remains: 1:08:24)\n",
+      "   | 0.3051 (best: 0.3178) - {'tie_breaker': 0.4661103329243341, 'url|boost': 0.0, 'title|boost': 1.7854273654430572, 'title_bigrams|boost': 0.0, 'body|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 42/100, took 0:00:16 (remains: 0:15:55)\n",
+      "   | 0.3059 (best: 0.3178) - {'tie_breaker': 0.0, 'url|boost': 6.062977786189895, 'title|boost': 7.560188109825219, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.4594156263668397}\n",
+      " > iteration 43/100, took 0:01:29 (remains: 1:24:54)\n",
+      "   | 0.2887 (best: 0.3178) - {'tie_breaker': 0.021624792268908954, 'url|boost': 2.733505958622624, 'title|boost': 7.368619255090216, 'title_bigrams|boost': 9.306240160783712, 'body|boost': 0.6486109064611771, 'expansions|boost': 3.681816447918085, 'expansions_bigrams|boost': 7.774257097707261}\n",
+      " > iteration 44/100, took 0:01:11 (remains: 1:06:57)\n",
+      "   | 0.3167 (best: 0.3178) - {'tie_breaker': 1.0, 'url|boost': 0.9787871612874806, 'title|boost': 1.0543555351822762, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 7.666304338562152, 'expansions_bigrams|boost': 6.074778904237479}\n",
+      " > iteration 45/100, took 0:01:27 (remains: 1:20:25)\n",
+      "   | 0.3144 (best: 0.3178) - {'tie_breaker': 0.35858583705261615, 'url|boost': 1.0815491075273205, 'title|boost': 8.06636711916627, 'title_bigrams|boost': 5.16784963829997, 'body|boost': 10.0, 'expansions|boost': 8.212774575225723, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 46/100, took 0:01:23 (remains: 1:15:07)\n",
+      "   | 0.3082 (best: 0.3178) - {'tie_breaker': 0.7071044369084548, 'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 47/100, took 0:01:28 (remains: 1:18:22)\n",
+      "   | 0.3109 (best: 0.3178) - {'tie_breaker': 0.2383865179969344, 'url|boost': 0.19424038377545585, 'title|boost': 3.874960550072265, 'title_bigrams|boost': 1.7241178471001775, 'body|boost': 9.655270190233127, 'expansions|boost': 9.904125953540309, 'expansions_bigrams|boost': 1.4982563956539443}\n",
+      " > iteration 48/100, took 0:01:22 (remains: 1:11:04)\n",
+      "   | 0.3180 (best: 0.3180) - {'tie_breaker': 0.4202022427747562, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 49/100, took 0:01:27 (remains: 1:14:29)\n",
+      "   | 0.3181 (best: 0.3181) - {'tie_breaker': 0.40831810053304246, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 3.674134848365429, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.224664619171847}\n",
+      " > iteration 50/100, took 0:01:02 (remains: 0:52:08)\n",
+      "   | 0.2824 (best: 0.3181) - {'tie_breaker': 0.6042663016572518, 'url|boost': 10.0, 'title|boost': 3.3306175067180672, 'title_bigrams|boost': 0.0, 'body|boost': 0.0, 'expansions|boost': 0.0, 'expansions_bigrams|boost': 6.054667979537661}\n",
+      " > iteration 51/100, took 0:01:03 (remains: 0:52:05)\n",
+      "   | 0.3090 (best: 0.3181) - {'tie_breaker': 1.0, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 6.785613493814547, 'expansions|boost': 9.276509067214274, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 52/100, took 0:01:25 (remains: 1:08:33)\n",
+      "   | 0.3205 (best: 0.3205) - {'tie_breaker': 0.3668022774635058, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 9.011070861076462, 'expansions|boost': 5.54342569194276, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 53/100, took 0:00:15 (remains: 0:12:10)\n",
+      "   | 0.3054 (best: 0.3205) - {'tie_breaker': 0.0, 'url|boost': 4.000677934758177, 'title|boost': 0.6080161148966966, 'title_bigrams|boost': 10.0, 'body|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 54/100, took 0:01:21 (remains: 1:02:46)\n",
+      "   | 0.3150 (best: 0.3205) - {'tie_breaker': 0.30779798122238144, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 6.793094630789236, 'expansions|boost': 7.708745271010475, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 55/100, took 0:01:21 (remains: 1:01:18)\n",
+      "   | 0.3151 (best: 0.3205) - {'tie_breaker': 0.3305888468061991, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 5.648976523072376, 'body|boost': 6.157168926763833, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 56/100, took 0:01:22 (remains: 1:00:46)\n",
+      "   | 0.3184 (best: 0.3205) - {'tie_breaker': 0.2559072668077755, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 4.806137770729478, 'body|boost': 8.529145797436682, 'expansions|boost': 5.872940127048643, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 57/100, took 0:01:29 (remains: 1:04:21)\n",
+      "   | 0.3042 (best: 0.3205) - {'tie_breaker': 0.03771396087097934, 'url|boost': 2.8151075142674236, 'title|boost': 5.9873038200813795, 'title_bigrams|boost': 0.0802141561159231, 'body|boost': 0.7181584304255163, 'expansions|boost': 6.367946217421516, 'expansions_bigrams|boost': 0.45378559356259124}\n",
+      " > iteration 58/100, took 0:01:29 (remains: 1:02:31)\n",
+      "   | 0.3121 (best: 0.3205) - {'tie_breaker': 0.5014143776616288, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.72931273274893, 'expansions|boost': 4.805557824513237, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 59/100, took 0:01:12 (remains: 0:49:24)\n",
+      "   | 0.3000 (best: 0.3205) - {'tie_breaker': 1.0, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 5.433770441046956, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 60/100, took 0:01:28 (remains: 0:58:43)\n",
+      "   | 0.3171 (best: 0.3205) - {'tie_breaker': 0.5272662431250476, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 61/100, took 0:01:12 (remains: 0:46:50)\n",
+      "   | 0.3062 (best: 0.3205) - {'tie_breaker': 0.1875483964557193, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 62/100, took 0:01:24 (remains: 0:53:18)\n",
+      "   | 0.3053 (best: 0.3205) - {'tie_breaker': 0.40607405538011904, 'url|boost': 0.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 5.00720477106047, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 63/100, took 0:01:31 (remains: 0:56:26)\n",
+      "   | 0.3099 (best: 0.3205) - {'tie_breaker': 0.10874477089720272, 'url|boost': 9.673138588821116, 'title|boost': 5.741432174288171, 'title_bigrams|boost': 0.1890966476491507, 'body|boost': 9.956172733458317, 'expansions|boost': 4.411652556231285, 'expansions_bigrams|boost': 8.344899312305522}\n",
+      " > iteration 64/100, took 0:01:29 (remains: 0:53:57)\n",
+      "   | 0.3105 (best: 0.3205) - {'tie_breaker': 0.8903436680677275, 'url|boost': 8.198307260976481, 'title|boost': 8.535916917705165, 'title_bigrams|boost': 0.597241746889915, 'body|boost': 9.97353444570226, 'expansions|boost': 9.114233178462662, 'expansions_bigrams|boost': 9.951923931859001}\n",
+      " > iteration 65/100, took 0:01:22 (remains: 0:47:50)\n",
+      "   | 0.3214 (best: 0.3214) - {'tie_breaker': 0.17069099936601012, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 4.56377710993118, 'body|boost': 10.0, 'expansions|boost': 6.861321298634639, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 66/100, took 0:01:29 (remains: 0:50:36)\n",
+      "   | 0.3077 (best: 0.3214) - {'tie_breaker': 0.20780789979899256, 'url|boost': 7.544186196611712, 'title|boost': 4.2343164713560615, 'title_bigrams|boost': 9.620952187455941, 'body|boost': 9.764428672029316, 'expansions|boost': 6.037122633546433, 'expansions_bigrams|boost': 9.304506134458013}\n",
+      " > iteration 67/100, took 0:01:30 (remains: 0:49:58)\n",
+      "   | 0.3122 (best: 0.3214) - {'tie_breaker': 0.13291774066183074, 'url|boost': 7.014827244854872, 'title|boost': 9.373570589636888, 'title_bigrams|boost': 0.2111822720011636, 'body|boost': 9.606555115095931, 'expansions|boost': 9.957622614341329, 'expansions_bigrams|boost': 9.877168962551156}\n",
+      " > iteration 68/100, took 0:01:30 (remains: 0:48:09)\n",
+      "   | 0.3105 (best: 0.3214) - {'tie_breaker': 0.6541355036812451, 'url|boost': 1.5817847081538796, 'title|boost': 2.278238886101192, 'title_bigrams|boost': 0.4975707926465235, 'body|boost': 9.42562702477975, 'expansions|boost': 6.223773400660444, 'expansions_bigrams|boost': 9.96152901727619}\n",
+      " > iteration 69/100, took 0:01:29 (remains: 0:46:21)\n",
+      "   | 0.2910 (best: 0.3214) - {'tie_breaker': 0.9959672192944425, 'url|boost': 1.8586423859280412, 'title|boost': 8.68384732987512, 'title_bigrams|boost': 8.81146150760334, 'body|boost': 9.56742162964665, 'expansions|boost': 9.70064405068159, 'expansions_bigrams|boost': 0.39286696908520274}\n",
+      " > iteration 70/100, took 0:01:30 (remains: 0:45:03)\n",
+      "   | 0.3053 (best: 0.3214) - {'tie_breaker': 0.007373577982784931, 'url|boost': 8.250886394092849, 'title|boost': 3.8143640583104963, 'title_bigrams|boost': 9.732507999756152, 'body|boost': 8.097705844246041, 'expansions|boost': 7.706607363829906, 'expansions_bigrams|boost': 0.6274380495685473}\n",
+      " > iteration 71/100, took 0:01:22 (remains: 0:39:47)\n",
+      "   | 0.3190 (best: 0.3214) - {'tie_breaker': 0.4177870082052582, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 8.479734541904415, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 72/100, took 0:01:24 (remains: 0:39:20)\n",
+      "   | 0.3253 (best: 0.3253) - {'tie_breaker': 0.19380831543196497, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 1.7886380029959847, 'body|boost': 10.0, 'expansions|boost': 6.152035550637155, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 73/100, took 0:01:23 (remains: 0:37:28)\n",
+      "   | 0.3231 (best: 0.3253) - {'tie_breaker': 0.18962549617926394, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 5.938461419025883, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 74/100, took 0:01:23 (remains: 0:36:01)\n",
+      "   | 0.3238 (best: 0.3253) - {'tie_breaker': 0.18709998008663048, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 5.8328214565685155, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 75/100, took 0:01:32 (remains: 0:38:31)\n",
+      "   | 0.3000 (best: 0.3253) - {'tie_breaker': 0.832103351317605, 'url|boost': 8.726941120744128, 'title|boost': 6.427573610270514, 'title_bigrams|boost': 0.3906920003144632, 'body|boost': 0.3530133267503444, 'expansions|boost': 5.911827054198529, 'expansions_bigrams|boost': 8.618931950279617}\n",
+      " > iteration 76/100, took 0:01:29 (remains: 0:35:42)\n",
+      "   | 0.3062 (best: 0.3253) - {'tie_breaker': 0.09128273024931978, 'url|boost': 9.74854916151353, 'title|boost': 0.18849388500479794, 'title_bigrams|boost': 9.153471899768215, 'body|boost': 0.055724453168887196, 'expansions|boost': 5.199469435642671, 'expansions_bigrams|boost': 0.3496017355008619}\n",
+      " > iteration 77/100, took 0:01:23 (remains: 0:31:53)\n",
+      "   | 0.3235 (best: 0.3253) - {'tie_breaker': 0.15511284651640025, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 2.36878740662297, 'body|boost': 10.0, 'expansions|boost': 5.802428484268511, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 78/100, took 0:01:23 (remains: 0:30:39)\n",
+      "   | 0.3153 (best: 0.3253) - {'tie_breaker': 0.21807650666008765, 'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 5.89561463596023, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 79/100, took 0:01:21 (remains: 0:28:41)\n",
+      "   | 0.3146 (best: 0.3253) - {'tie_breaker': 0.7180894604405518, 'url|boost': 5.577134848630887, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 7.460716336445806, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 80/100, took 0:01:22 (remains: 0:27:22)\n",
+      "   | 0.3268 (best: 0.3268) - {'tie_breaker': 0.21845785025102013, 'url|boost': 7.529997612967067, 'title|boost': 0.0, 'title_bigrams|boost': 2.348643701861219, 'body|boost': 10.0, 'expansions|boost': 6.1516016040781905, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 81/100, took 0:01:21 (remains: 0:25:57)\n",
+      "   | 0.3270 (best: 0.3270) - {'tie_breaker': 0.27534600653210634, 'url|boost': 6.7919460049592235, 'title|boost': 0.0, 'title_bigrams|boost': 2.1306536760456747, 'body|boost': 10.0, 'expansions|boost': 6.381862867455929, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 82/100, took 0:01:22 (remains: 0:24:41)\n",
+      "   | 0.3144 (best: 0.3270) - {'tie_breaker': 0.26450406694520945, 'url|boost': 6.898676864769068, 'title|boost': 0.0, 'title_bigrams|boost': 0.1376774619835914, 'body|boost': 10.0, 'expansions|boost': 5.194564937816169, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 83/100, took 0:01:29 (remains: 0:25:23)\n",
+      "   | 0.3034 (best: 0.3270) - {'tie_breaker': 0.44458641960537226, 'url|boost': 1.3581544315311225, 'title|boost': 0.18896391937796356, 'title_bigrams|boost': 9.40181930504648, 'body|boost': 9.650578179933223, 'expansions|boost': 9.826921737190645, 'expansions_bigrams|boost': 9.927333895819528}\n",
+      " > iteration 84/100, took 0:01:21 (remains: 0:21:51)\n",
+      "   | 0.3214 (best: 0.3270) - {'tie_breaker': 0.27053541838269746, 'url|boost': 7.327698678336558, 'title|boost': 0.0, 'title_bigrams|boost': 3.307915175213834, 'body|boost': 10.0, 'expansions|boost': 7.034241428336655, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 85/100, took 0:01:30 (remains: 0:22:30)\n",
+      "   | 0.3076 (best: 0.3270) - {'tie_breaker': 0.9926587540236854, 'url|boost': 0.3687848888970969, 'title|boost': 0.11786173762771027, 'title_bigrams|boost': 0.24642188356574285, 'body|boost': 2.4989956778064797, 'expansions|boost': 1.5602438795843134, 'expansions_bigrams|boost': 3.1781379390166116}\n",
+      " > iteration 86/100, took 0:01:28 (remains: 0:20:34)\n",
+      "   | 0.3163 (best: 0.3270) - {'tie_breaker': 0.2407647248043783, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 2.544629236977467, 'body|boost': 10.0, 'expansions|boost': 6.6306877606712575, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 87/100, took 0:01:28 (remains: 0:19:16)\n",
+      "   | 0.3091 (best: 0.3270) - {'tie_breaker': 0.9545618829940945, 'url|boost': 1.1819408849387083, 'title|boost': 0.10592788146655875, 'title_bigrams|boost': 0.1710808635612893, 'body|boost': 9.320410813858887, 'expansions|boost': 3.4167325062330294, 'expansions_bigrams|boost': 9.588886421152099}\n",
+      " > iteration 88/100, took 0:01:30 (remains: 0:18:05)\n",
+      "   | 0.2924 (best: 0.3270) - {'tie_breaker': 0.9646670088682038, 'url|boost': 0.5144969234794251, 'title|boost': 6.867279620912591, 'title_bigrams|boost': 0.08673071402569123, 'body|boost': 2.8591488548945483, 'expansions|boost': 0.35399921456707123, 'expansions_bigrams|boost': 9.119661685445209}\n",
+      " > iteration 89/100, took 0:01:28 (remains: 0:16:17)\n",
+      "   | 0.2938 (best: 0.3270) - {'tie_breaker': 0.8696079652537244, 'url|boost': 9.711976261039352, 'title|boost': 0.7174852069483618, 'title_bigrams|boost': 9.797639783172961, 'body|boost': 1.233320792146413, 'expansions|boost': 9.794745964224749, 'expansions_bigrams|boost': 7.211237466962389}\n",
+      " > iteration 90/100, took 0:01:22 (remains: 0:13:48)\n",
+      "   | 0.3253 (best: 0.3270) - {'tie_breaker': 0.2586245453111104, 'url|boost': 7.8698504593791725, 'title|boost': 0.0, 'title_bigrams|boost': 3.1107649575377434, 'body|boost': 10.0, 'expansions|boost': 6.6199096737018515, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 91/100, took 0:01:29 (remains: 0:13:26)\n",
+      "   | 0.3085 (best: 0.3270) - {'tie_breaker': 0.06275101282123842, 'url|boost': 0.11156056006324967, 'title|boost': 1.124497274254154, 'title_bigrams|boost': 0.4111055172823364, 'body|boost': 2.584337974670801, 'expansions|boost': 2.268320493084019, 'expansions_bigrams|boost': 1.8383793487937108}\n",
+      " > iteration 92/100, took 0:01:29 (remains: 0:11:56)\n",
+      "   | 0.2946 (best: 0.3270) - {'tie_breaker': 0.5309710685077617, 'url|boost': 0.8775967423202625, 'title|boost': 1.343240344667206, 'title_bigrams|boost': 0.3369365917558043, 'body|boost': 2.0937731359175644, 'expansions|boost': 1.6477298902484807, 'expansions_bigrams|boost': 5.8091090825301634}\n",
+      " > iteration 93/100, took 0:01:34 (remains: 0:11:03)\n",
+      "   | 0.2623 (best: 0.3270) - {'tie_breaker': 0.06056757744236542, 'url|boost': 0.10288716239418094, 'title|boost': 9.803437169679015, 'title_bigrams|boost': 0.08265725808615192, 'body|boost': 7.6143764380429, 'expansions|boost': 0.3868154273744394, 'expansions_bigrams|boost': 2.881854240924363}\n",
+      " > iteration 94/100, took 0:01:34 (remains: 0:09:29)\n",
+      "   | 0.3064 (best: 0.3270) - {'tie_breaker': 0.0038179899241053915, 'url|boost': 9.636017507531655, 'title|boost': 3.094560012695438, 'title_bigrams|boost': 3.691724417891989, 'body|boost': 3.3712886037989636, 'expansions|boost': 3.230101918276578, 'expansions_bigrams|boost': 1.9500114720198938}\n",
+      " > iteration 95/100, took 0:01:30 (remains: 0:07:31)\n",
+      "   | 0.3189 (best: 0.3270) - {'tie_breaker': 0.39047381877660226, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 1.929904275275764, 'body|boost': 10.0, 'expansions|boost': 6.270970380646208, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 96/100, took 0:00:27 (remains: 0:01:51)\n",
+      "   | 0.3062 (best: 0.3270) - {'tie_breaker': 0.0, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 97/100, took 0:01:34 (remains: 0:04:42)\n",
+      "   | 0.3117 (best: 0.3270) - {'tie_breaker': 0.6160104236551672, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 3.6273597665105886, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 98/100, took 0:00:23 (remains: 0:00:47)\n",
+      "   | 0.2679 (best: 0.3270) - {'tie_breaker': 0.0, 'url|boost': 0.0, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 0.0, 'expansions|boost': 0.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 99/100, took 0:01:32 (remains: 0:01:32)\n",
+      "   | 0.3153 (best: 0.3270) - {'tie_breaker': 0.12618702186440897, 'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 6.019054153203282, 'expansions|boost': 5.05688563192646, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 100/100, took 0:01:35 (remains: 0:00:00)\n",
+      "   | 0.3136 (best: 0.3270) - {'tie_breaker': 0.1782953246673107, 'url|boost': 7.120797674417191, 'title|boost': 0.73223294163288, 'title_bigrams|boost': 0.1845349229163973, 'body|boost': 0.24453282408552385, 'expansions|boost': 3.7644539541903175, 'expansions_bigrams|boost': 2.5047672568222294}\n",
+      "Best score: 0.3270\n",
+      "Best params: {'tie_breaker': 0.27534600653210634, 'url|boost': 6.7919460049592235, 'title|boost': 0.0, 'title_bigrams|boost': 2.1306536760456747, 'body|boost': 10.0, 'expansions|boost': 6.381862867455929, 'expansions_bigrams|boost': 0.0}\n",
+      "Final params: {'tie_breaker': 0.27534600653210634, 'url|boost': 6.7919460049592235, 'title|boost': 0.0, 'title_bigrams|boost': 2.1306536760456747, 'body|boost': 10.0, 'expansions|boost': 6.381862867455929, 'expansions_bigrams|boost': 0.0}\n",
+      "\n",
+      "CPU times: user 4min 44s, sys: 48.5 s, total: 5min 32s\n",
+      "Wall time: 2h 15min 31s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
+    "    config_space=Config.parse({\n",
+    "        'method': 'bayesian',\n",
+    "        'num_iterations': 100,\n",
+    "        'num_initial_points': 20,\n",
+    "        'space': {\n",
+    "            'tie_breaker': { 'low': 0.0, 'high': 1.0 },\n",
+    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'expansions|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'expansions_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "        }\n",
+    "    }))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 1008x1008 with 49 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plot_objective(metadata, sample_source='result')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3398\n",
+      "CPU times: user 2.64 s, sys: 904 ms, total: 3.55 s\n",
+      "Wall time: 7min 50s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Turns out that removing 0-weight fields from `best_fields` doesn't really improve anything."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'tie_breaker': 0.27534600653210634,\n",
+       " 'url|boost': 6.7919460049592235,\n",
+       " 'title|boost': 0.0,\n",
+       " 'title_bigrams|boost': 2.1306536760456747,\n",
+       " 'body|boost': 10.0,\n",
+       " 'expansions|boost': 6.381862867455929,\n",
+       " 'expansions_bigrams|boost': 0.0}"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_params"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'tie_breaker': 0.2918990215690707,\n",
+       " 'url|boost': 10.0,\n",
+       " 'title_bigrams|boost': 0.0,\n",
+       " 'body|boost': 10.0,\n",
+       " 'expansions|boost': 7.196851143341019}"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# experiment with removing more 0 fields, only gets worse\n",
+    "# 0.3377\n",
+    "\n",
+    "{\n",
+    "    'tie_breaker': 0.2918990215690707,\n",
+    "    'url|boost': 10.0,\n",
+    "    'title_bigrams|boost': 0.0,\n",
+    "    'body|boost': 10.0,\n",
+    "    'expansions|boost': 7.196851143341019\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Archived experiments\n",
+    "\n",
+    "Some experiments where we combined the `body` and `expansions` into a single field. This seems to need a separate `body` field as well and we don't want to create this much duplication of data, so we are ignoring the slighly better MRR in favour of simplicity and efficiency at indexing. All queries used `best_fields`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'tie_breaker': 0.4549730682206822,\n",
+       " 'url|boost': 0.34728407296025626,\n",
+       " 'title|boost': 8.21907753421881,\n",
+       " 'body|boost': 4.7837874442927735,\n",
+       " 'body_expansion|boost': 8.136976669448675,\n",
+       " 'body+expansion|boost': 8.391765667142831}"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# from random search\n",
+    "# 0.3400\n",
+    "\n",
+    "{\n",
+    "    'tie_breaker': 0.4549730682206822,\n",
+    "    'url|boost': 0.34728407296025626,\n",
+    "    'title|boost': 8.21907753421881,\n",
+    "    'body|boost': 4.7837874442927735,\n",
+    "    'body_expansion|boost': 8.136976669448675,\n",
+    "    'body+expansion|boost': 8.391765667142831,\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'tie_breaker': 0.455,\n",
+       " 'url|boost': 0.35,\n",
+       " 'title|boost': 8.2,\n",
+       " 'body|boost': 5.0,\n",
+       " 'body_expansion|boost': 8.0,\n",
+       " 'body+expansion|boost': 20.0}"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# manual parameter value experimentation\n",
+    "# 0.3393\n",
+    "\n",
+    "{\n",
+    "    'tie_breaker': 0.455,\n",
+    "    'url|boost': 0.35,\n",
+    "    'title|boost': 8.2,\n",
+    "    'body|boost': 5.0,\n",
+    "    'body_expansion|boost': 8.0,\n",
+    "    'body+expansion|boost': 20.0,\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'tie_breaker': 0.4549730682206822,\n",
+       " 'url|boost': 0.34728407296025626,\n",
+       " 'title|boost': 8.21907753421881,\n",
+       " 'body|boost': 0.0,\n",
+       " 'body_expansion|boost': 8.136976669448675,\n",
+       " 'body+expansion|boost': 20.0}"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# manual parameter value experimentation\n",
+    "# 0.3380\n",
+    "\n",
+    "{\n",
+    "    'tie_breaker': 0.4549730682206822,\n",
+    "    'url|boost': 0.34728407296025626,\n",
+    "    'title|boost': 8.21907753421881,\n",
+    "    'body|boost': 0.0,\n",
+    "    'body_expansion|boost': 8.136976669448675,\n",
+    "    'body+expansion|boost': 20.0,\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Machine Learning/Query Optimization/notebooks/doc2query - 3 - most_fields.ipynb b/Machine Learning/Query Optimization/notebooks/doc2query - 3 - most_fields.ipynb
new file mode 100644
index 00000000..5feda4f2
--- /dev/null
+++ b/Machine Learning/Query Optimization/notebooks/doc2query - 3 - most_fields.ipynb	
@@ -0,0 +1,1702 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tuning a `multi_match` `most_fields` query"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import importlib\n",
+    "import os\n",
+    "import sys\n",
+    "\n",
+    "from copy import deepcopy\n",
+    "from elasticsearch import Elasticsearch\n",
+    "from skopt.plots import plot_objective"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# project library\n",
+    "sys.path.insert(0, os.path.abspath('..'))\n",
+    "\n",
+    "import qopt\n",
+    "importlib.reload(qopt)\n",
+    "\n",
+    "from qopt.notebooks import evaluate_mrr100_dev_templated, optimize_query_mrr100_templated, set_bm25_params\n",
+    "from qopt.optimize import Config"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Setting BM25 params fields:\n",
+      " - url: {'k1': 0.33066956222950633, 'b': 0.9589101032169087}\n",
+      " - title: {'k1': 0.34885436112727763, 'b': 1.0}\n",
+      " - title.bigrams: {'k1': 1.2, 'b': 0.75}\n",
+      " - body: {'k1': 3.0128735487205525, 'b': 0.8200709176657588}\n",
+      " - body.bigrams: {'k1': 1.9100199633100623, 'b': 0.7336619962002098}\n",
+      " - expansions: {'k1': 4.870954366799399, 'b': 0.9249613913608172}\n",
+      " - expansions.bigrams: {'k1': 1.2, 'b': 0.75}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# use a local Elasticsearch or Cloud instance (https://cloud.elastic.co/)\n",
+    "es = Elasticsearch('http://localhost:9200')\n",
+    "\n",
+    "# set the parallelization parameter `max_concurrent_searches` for the Rank Evaluation API calls\n",
+    "max_concurrent_searches = 10\n",
+    "\n",
+    "index = 'msmarco-document.doc2query'\n",
+    "template_id = 'query'\n",
+    "query_type = 'most_fields'\n",
+    "\n",
+    "# set best BM25 params\n",
+    "set_bm25_params(es, index, [\n",
+    "    ('url', {'k1': 0.33066956222950633, 'b': 0.9589101032169087}), # 0.2201\n",
+    "    ('title', {'k1': 0.34885436112727763, 'b': 1.0}), # 0.2354\n",
+    "    ('title.bigrams', {'k1': 1.2, 'b': 0.75}), # 0.1295\n",
+    "    ('body', {'k1': 3.0128735487205525, 'b': 0.8200709176657588}), # 0.2645\n",
+    "    ('body.bigrams', {'k1': 1.9100199633100623, 'b': 0.7336619962002098}), # 0.2045\n",
+    "    ('expansions', {'k1': 4.870954366799399, 'b': 0.9249613913608172}), # 0.3220\n",
+    "    ('expansions.bigrams', {'k1': 1.2, 'b': 0.75}) # 0.2837\n",
+    "])\n",
+    "\n",
+    "# base template for tuning\n",
+    "base_templates = [{\n",
+    "    \"id\": template_id,\n",
+    "    \"template\": {\n",
+    "        \"lang\": \"mustache\",\n",
+    "        \"source\": { \"query\": {} }\n",
+    "    }\n",
+    "}]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Experiments"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Base fields"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_templates = deepcopy(base_templates)\n",
+    "_templates[0]['template']['source']['query']['multi_match'] = {\n",
+    "    \"type\": query_type,\n",
+    "    \"query\": \"{{query_string}}\",\n",
+    "    \"fields\": [\n",
+    "        \"url^{{url|boost}}\",\n",
+    "        \"title^{{title|boost}}\",\n",
+    "        \"body^{{body|boost}}\",\n",
+    "    ]\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2866\n",
+      "CPU times: user 1.87 s, sys: 548 ms, total: 2.42 s\n",
+      "Wall time: 2min 35s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
+    "    'url|boost': 1.0,\n",
+    "    'title|boost': 1.0,\n",
+    "    'body|boost': 1.0,\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 1/50, took 0:00:35 (remains: 0:28:59)\n",
+      "   | 0.2258 (best: 0.2258) - {'url|boost': 2.3238513494968465, 'title|boost': 9.646148895586501, 'body|boost': 0.38400616693785034}\n",
+      " > iteration 2/50, took 0:00:28 (remains: 0:22:51)\n",
+      "   | 0.2780 (best: 0.2780) - {'url|boost': 1.0282402606853827, 'title|boost': 5.620614617420669, 'body|boost': 9.993215193304582}\n",
+      " > iteration 3/50, took 0:00:23 (remains: 0:18:16)\n",
+      "   | 0.2495 (best: 0.2780) - {'url|boost': 9.553248081080604, 'title|boost': 1.5748881225250224, 'body|boost': 3.2614301427054544}\n",
+      " > iteration 4/50, took 0:00:24 (remains: 0:18:26)\n",
+      "   | 0.2583 (best: 0.2780) - {'url|boost': 6.507299764796497, 'title|boost': 5.987881219913318, 'body|boost': 4.881867345452938}\n",
+      " > iteration 5/50, took 0:00:17 (remains: 0:13:22)\n",
+      "   | 0.2612 (best: 0.2780) - {'url|boost': 3.3769929734787656, 'title|boost': 8.924602179073064, 'body|boost': 5.606954895821747}\n",
+      " > iteration 6/50, took 0:00:25 (remains: 0:19:01)\n",
+      "   | 0.2601 (best: 0.2780) - {'url|boost': 4.946380499545137, 'title|boost': 2.5415905345443486, 'body|boost': 3.509631815281054}\n",
+      " > iteration 7/50, took 0:00:23 (remains: 0:17:10)\n",
+      "   | 0.2540 (best: 0.2780) - {'url|boost': 9.641165661835814, 'title|boost': 0.33395128249506084, 'body|boost': 4.066565369125134}\n",
+      " > iteration 8/50, took 0:00:17 (remains: 0:12:22)\n",
+      "   | 0.2402 (best: 0.2780) - {'url|boost': 2.368781151096389, 'title|boost': 5.454121974707099, 'body|boost': 0.9963484715177975}\n",
+      " > iteration 9/50, took 0:00:17 (remains: 0:12:09)\n",
+      "   | 0.2157 (best: 0.2780) - {'url|boost': 6.739732846936171, 'title|boost': 8.516958963929385, 'body|boost': 0.09016839048032967}\n",
+      " > iteration 10/50, took 0:00:18 (remains: 0:12:26)\n",
+      "   | 0.2637 (best: 0.2780) - {'url|boost': 9.229886627956724, 'title|boost': 0.6583741367079111, 'body|boost': 7.073274057480247}\n",
+      " > iteration 11/50, took 0:00:27 (remains: 0:17:37)\n",
+      "   | 0.2694 (best: 0.2780) - {'url|boost': 3.853274414254839, 'title|boost': 4.460041774947854, 'body|boost': 8.625340128530983}\n",
+      " > iteration 12/50, took 0:00:18 (remains: 0:11:30)\n",
+      "   | 0.2425 (best: 0.2780) - {'url|boost': 1.7559301776399052, 'title|boost': 8.18845899363186, 'body|boost': 1.4434228323243716}\n",
+      " > iteration 13/50, took 0:00:26 (remains: 0:16:05)\n",
+      "   | 0.2643 (best: 0.2780) - {'url|boost': 2.341882970836164, 'title|boost': 7.822955786926337, 'body|boost': 5.6976413125467475}\n",
+      " > iteration 14/50, took 0:00:22 (remains: 0:13:29)\n",
+      "   | 0.2528 (best: 0.2780) - {'url|boost': 6.558343954790889, 'title|boost': 5.153553004338041, 'body|boost': 3.4757755390999083}\n",
+      " > iteration 15/50, took 0:00:26 (remains: 0:15:24)\n",
+      "   | 0.2623 (best: 0.2780) - {'url|boost': 2.764537988634716, 'title|boost': 0.9438667130012193, 'body|boost': 1.9986897879344463}\n",
+      " > iteration 16/50, took 0:00:27 (remains: 0:15:22)\n",
+      "   | 0.2666 (best: 0.2780) - {'url|boost': 1.6126075126697061, 'title|boost': 8.825796870036022, 'body|boost': 7.550812103765767}\n",
+      " > iteration 17/50, took 0:00:26 (remains: 0:14:42)\n",
+      "   | 0.2694 (best: 0.2780) - {'url|boost': 4.484585689638971, 'title|boost': 7.527812847768384, 'body|boost': 9.757936584473129}\n",
+      " > iteration 18/50, took 0:00:17 (remains: 0:09:18)\n",
+      "   | 0.2683 (best: 0.2780) - {'url|boost': 5.3076278028801465, 'title|boost': 0.04885335531676694, 'body|boost': 8.95515438611021}\n",
+      " > iteration 19/50, took 0:00:25 (remains: 0:13:15)\n",
+      "   | 0.2640 (best: 0.2780) - {'url|boost': 5.926705397977367, 'title|boost': 9.585111800400641, 'body|boost': 7.524470495603625}\n",
+      " > iteration 20/50, took 0:00:19 (remains: 0:09:57)\n",
+      "   | 0.2707 (best: 0.2780) - {'url|boost': 1.2310326786181327, 'title|boost': 6.484289385725315, 'body|boost': 6.680460269759133}\n",
+      " > iteration 21/50, took 0:00:16 (remains: 0:08:06)\n",
+      "   | 0.2407 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 5.561005735302018}\n",
+      " > iteration 22/50, took 0:00:16 (remains: 0:07:49)\n",
+      "   | 0.2407 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 10.0}\n",
+      " > iteration 23/50, took 0:00:25 (remains: 0:11:31)\n",
+      "   | 0.2635 (best: 0.2780) - {'url|boost': 10.0, 'title|boost': 6.554201479466627, 'body|boost': 10.0}\n",
+      " > iteration 24/50, took 0:00:27 (remains: 0:11:59)\n",
+      "   | 0.2763 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 7.236737470169135, 'body|boost': 10.0}\n",
+      " > iteration 25/50, took 0:00:27 (remains: 0:11:39)\n",
+      "   | 0.2666 (best: 0.2780) - {'url|boost': 10.0, 'title|boost': 0.0, 'body|boost': 10.0}\n",
+      " > iteration 26/50, took 0:00:24 (remains: 0:09:37)\n",
+      "   | 0.2736 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 5.351823440047774, 'body|boost': 10.0}\n",
+      " > iteration 27/50, took 0:00:26 (remains: 0:10:13)\n",
+      "   | 0.2625 (best: 0.2780) - {'url|boost': 10.0, 'title|boost': 10.0, 'body|boost': 10.0}\n",
+      " > iteration 28/50, took 0:00:27 (remains: 0:09:57)\n",
+      "   | 0.2729 (best: 0.2780) - {'url|boost': 1.5738887684489904, 'title|boost': 6.604653260246946, 'body|boost': 10.0}\n",
+      " > iteration 29/50, took 0:00:27 (remains: 0:09:42)\n",
+      "   | 0.2709 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 10.0, 'body|boost': 10.0}\n",
+      " > iteration 30/50, took 0:00:20 (remains: 0:06:44)\n",
+      "   | 0.2672 (best: 0.2780) - {'url|boost': 7.037826875548215, 'title|boost': 2.845601283790764, 'body|boost': 10.0}\n",
+      " > iteration 31/50, took 0:00:10 (remains: 0:03:16)\n",
+      "   | 0.2064 (best: 0.2780) - {'url|boost': 5.6416253976592685, 'title|boost': 0.0, 'body|boost': 0.0}\n",
+      " > iteration 32/50, took 0:00:28 (remains: 0:08:26)\n",
+      "   | 0.2628 (best: 0.2780) - {'url|boost': 10.0, 'title|boost': 1.923403561800898, 'body|boost': 8.575457650745888}\n",
+      " > iteration 33/50, took 0:00:27 (remains: 0:07:55)\n",
+      "   | 0.2708 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 2.604813663436445, 'body|boost': 2.803947206689343}\n",
+      " > iteration 34/50, took 0:00:15 (remains: 0:04:00)\n",
+      "   | 0.2549 (best: 0.2780) - {'url|boost': 10.0, 'title|boost': 10.0, 'body|boost': 6.08896534032592}\n",
+      " > iteration 35/50, took 0:00:24 (remains: 0:06:03)\n",
+      "   | 0.2582 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 10.0, 'body|boost': 3.934119906842948}\n",
+      " > iteration 36/50, took 0:00:27 (remains: 0:06:22)\n",
+      "   | 0.2764 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 6.504269906335862, 'body|boost': 8.769467811233426}\n",
+      " > iteration 37/50, took 0:00:25 (remains: 0:05:33)\n",
+      "   | 0.2761 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 7.1366948248677975, 'body|boost': 9.276540081118041}\n",
+      " > iteration 38/50, took 0:00:16 (remains: 0:03:18)\n",
+      "   | 0.2407 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 1.8110236876390382}\n",
+      " > iteration 39/50, took 0:00:27 (remains: 0:04:58)\n",
+      "   | 0.2666 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 5.127496468535928, 'body|boost': 3.898487179303871}\n",
+      " > iteration 40/50, took 0:00:26 (remains: 0:04:25)\n",
+      "   | 0.2760 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 6.6301423753556135, 'body|boost': 9.046794150883796}\n",
+      " > iteration 41/50, took 0:00:26 (remains: 0:03:57)\n",
+      "   | 0.2712 (best: 0.2780) - {'url|boost': 2.174782040138039, 'title|boost': 2.5627791092954033, 'body|boost': 6.301661183841238}\n",
+      " > iteration 42/50, took 0:00:23 (remains: 0:03:04)\n",
+      "   | 0.2683 (best: 0.2780) - {'url|boost': 1.8612675838259782, 'title|boost': 2.7282220068434797, 'body|boost': 3.890122994339187}\n",
+      " > iteration 43/50, took 0:00:25 (remains: 0:02:55)\n",
+      "   | 0.2685 (best: 0.2780) - {'url|boost': 3.6712903280839178, 'title|boost': 1.8085448789415814, 'body|boost': 10.0}\n",
+      " > iteration 44/50, took 0:00:26 (remains: 0:02:40)\n",
+      "   | 0.2663 (best: 0.2780) - {'url|boost': 7.354186274301035, 'title|boost': 7.60650989291325, 'body|boost': 10.0}\n",
+      " > iteration 45/50, took 0:00:29 (remains: 0:02:25)\n",
+      "   | 0.2763 (best: 0.2780) - {'url|boost': 0.08047421835670755, 'title|boost': 4.325983678135508, 'body|boost': 6.896441302397576}\n",
+      " > iteration 46/50, took 0:00:27 (remains: 0:01:50)\n",
+      "   | 0.2675 (best: 0.2780) - {'url|boost': 3.3128870142039086, 'title|boost': 9.8866865072258, 'body|boost': 9.856390884419014}\n",
+      " > iteration 47/50, took 0:00:15 (remains: 0:00:46)\n",
+      "   | 0.2759 (best: 0.2780) - {'url|boost': 0.07421007987118756, 'title|boost': 3.5092941294535223, 'body|boost': 8.883143541357803}\n",
+      " > iteration 48/50, took 0:00:27 (remains: 0:00:55)\n",
+      "   | 0.2588 (best: 0.2780) - {'url|boost': 9.99081977831114, 'title|boost': 6.639987560113557, 'body|boost': 7.57569573039382}\n",
+      " > iteration 49/50, took 0:00:25 (remains: 0:00:25)\n",
+      "   | 0.2754 (best: 0.2780) - {'url|boost': 0.0, 'title|boost': 4.90434482444568, 'body|boost': 8.231111604953634}\n",
+      " > iteration 50/50, took 0:00:26 (remains: 0:00:00)\n",
+      "   | 0.2666 (best: 0.2780) - {'url|boost': 7.458453624561435, 'title|boost': 0.0, 'body|boost': 10.0}\n",
+      "Best score: 0.2780\n",
+      "Best params: {'url|boost': 1.0282402606853827, 'title|boost': 5.620614617420669, 'body|boost': 9.993215193304582}\n",
+      "Final params: {'url|boost': 1.0282402606853827, 'title|boost': 5.620614617420669, 'body|boost': 9.993215193304582}\n",
+      "\n",
+      "CPU times: user 1min 5s, sys: 15.9 s, total: 1min 21s\n",
+      "Wall time: 19min 53s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
+    "    config_space=Config.parse({\n",
+    "        'method': 'bayesian',\n",
+    "        'num_iterations': 50,\n",
+    "        'num_initial_points': 20,\n",
+    "        'space': {\n",
+    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "        }\n",
+    "    }))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 9 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plot_objective(metadata, sample_source='result')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3001\n",
+      "CPU times: user 2.14 s, sys: 718 ms, total: 2.86 s\n",
+      "Wall time: 2min 27s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'url|boost': 1.0282402606853827,\n",
+       " 'title|boost': 5.620614617420669,\n",
+       " 'body|boost': 9.993215193304582}"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_params"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Base fields + bigrams"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_templates = deepcopy(base_templates)\n",
+    "_templates[0]['template']['source']['query']['multi_match'] = {\n",
+    "    \"type\": \"most_fields\",\n",
+    "    \"query\": \"{{query_string}}\",\n",
+    "    \"fields\": [\n",
+    "        \"url^{{url|boost}}\",\n",
+    "        \"title^{{title|boost}}\",\n",
+    "        \"title.bigrams^{{title_bigrams|boost}}\",\n",
+    "        \"body^{{body|boost}}\",\n",
+    "        \"body.bigrams^{{body_bigrams|boost}}\",\n",
+    "    ]\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2696\n",
+      "CPU times: user 2.07 s, sys: 732 ms, total: 2.8 s\n",
+      "Wall time: 5min 28s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
+    "    'url|boost': 1.0,\n",
+    "    'title|boost': 1.0,\n",
+    "    'title_bigrams|boost': 1.0,\n",
+    "    'body|boost': 1.0,\n",
+    "    'body_bigrams|boost': 1.0,\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 1/50, took 0:01:12 (remains: 0:58:59)\n",
+      "   | 0.2345 (best: 0.2345) - {'url|boost': 6.41798492751675, 'title|boost': 2.1259847739071542, 'title_bigrams|boost': 9.627474515682819, 'body|boost': 7.9444381406927995, 'body_bigrams|boost': 0.5006531529245696}\n",
+      " > iteration 2/50, took 0:01:16 (remains: 1:01:20)\n",
+      "   | 0.2300 (best: 0.2345) - {'url|boost': 1.1889895874558045, 'title|boost': 2.9181231644829526, 'title_bigrams|boost': 9.047851285364732, 'body|boost': 5.739947073293478, 'body_bigrams|boost': 2.1298461201077994}\n",
+      " > iteration 3/50, took 0:01:10 (remains: 0:55:28)\n",
+      "   | 0.2570 (best: 0.2570) - {'url|boost': 1.4043415809698447, 'title|boost': 8.681634215151325, 'title_bigrams|boost': 5.400657333981491, 'body|boost': 7.490654268448649, 'body_bigrams|boost': 5.131752248706935}\n",
+      " > iteration 4/50, took 0:01:18 (remains: 1:00:21)\n",
+      "   | 0.2215 (best: 0.2570) - {'url|boost': 9.110573365296906, 'title|boost': 6.709591628321934, 'title_bigrams|boost': 7.528038566159307, 'body|boost': 0.260178886706195, 'body_bigrams|boost': 6.396696660586345}\n",
+      " > iteration 5/50, took 0:01:20 (remains: 1:00:12)\n",
+      "   | 0.2378 (best: 0.2570) - {'url|boost': 4.029158101642162, 'title|boost': 1.8899252104812332, 'title_bigrams|boost': 9.027770024611243, 'body|boost': 6.542350484527423, 'body_bigrams|boost': 3.0488236745723856}\n",
+      " > iteration 6/50, took 0:01:19 (remains: 0:58:39)\n",
+      "   | 0.2299 (best: 0.2570) - {'url|boost': 2.8183409927472365, 'title|boost': 9.913347888428689, 'title_bigrams|boost': 5.557317115194822, 'body|boost': 3.324325836252779, 'body_bigrams|boost': 1.169130507447165}\n",
+      " > iteration 7/50, took 0:01:19 (remains: 0:56:53)\n",
+      "   | 0.2208 (best: 0.2570) - {'url|boost': 4.255068981559472, 'title|boost': 1.984301747486474, 'title_bigrams|boost': 7.957990708522489, 'body|boost': 1.6868013100986115, 'body_bigrams|boost': 8.25376885859132}\n",
+      " > iteration 8/50, took 0:01:20 (remains: 0:56:37)\n",
+      "   | 0.2454 (best: 0.2570) - {'url|boost': 0.1571036662182357, 'title|boost': 8.415725324645889, 'title_bigrams|boost': 2.000690192587999, 'body|boost': 1.1597420372138858, 'body_bigrams|boost': 4.670933780837689}\n",
+      " > iteration 9/50, took 0:01:11 (remains: 0:49:03)\n",
+      "   | 0.2419 (best: 0.2570) - {'url|boost': 1.2246302066246786, 'title|boost': 1.4033948555830091, 'title_bigrams|boost': 2.4198792204506785, 'body|boost': 2.673673572318123, 'body_bigrams|boost': 4.694429097779564}\n",
+      " > iteration 10/50, took 0:01:20 (remains: 0:53:43)\n",
+      "   | 0.2560 (best: 0.2570) - {'url|boost': 8.907200650008019, 'title|boost': 5.14697533348746, 'title_bigrams|boost': 2.8930970808626717, 'body|boost': 7.7112350577665545, 'body_bigrams|boost': 7.993548959138805}\n",
+      " > iteration 11/50, took 0:01:21 (remains: 0:52:49)\n",
+      "   | 0.2552 (best: 0.2570) - {'url|boost': 3.305712024697465, 'title|boost': 6.976747708708917, 'title_bigrams|boost': 5.6657295943759065, 'body|boost': 8.022285715446008, 'body_bigrams|boost': 2.324577868690569}\n",
+      " > iteration 12/50, took 0:01:19 (remains: 0:50:33)\n",
+      "   | 0.2445 (best: 0.2570) - {'url|boost': 6.265030665882603, 'title|boost': 0.42530787368097017, 'title_bigrams|boost': 6.70972078490073, 'body|boost': 6.641694016188531, 'body_bigrams|boost': 8.176393401392808}\n",
+      " > iteration 13/50, took 0:01:20 (remains: 0:49:29)\n",
+      "   | 0.2313 (best: 0.2570) - {'url|boost': 1.3800590335619736, 'title|boost': 4.0092312715356275, 'title_bigrams|boost': 8.809884287627147, 'body|boost': 5.0055330463458, 'body_bigrams|boost': 9.260590561255059}\n",
+      " > iteration 14/50, took 0:01:13 (remains: 0:43:57)\n",
+      "   | 0.2454 (best: 0.2570) - {'url|boost': 0.5332849054956857, 'title|boost': 0.2700148208546705, 'title_bigrams|boost': 7.650986114892609, 'body|boost': 9.556389972458172, 'body_bigrams|boost': 0.5140111948781502}\n",
+      " > iteration 15/50, took 0:01:20 (remains: 0:47:11)\n",
+      "   | 0.2644 (best: 0.2644) - {'url|boost': 6.6703087253573035, 'title|boost': 5.2411549907597985, 'title_bigrams|boost': 1.7993845706593683, 'body|boost': 8.5385348721989, 'body_bigrams|boost': 4.223298810323838}\n",
+      " > iteration 16/50, took 0:01:24 (remains: 0:47:58)\n",
+      "   | 0.2486 (best: 0.2644) - {'url|boost': 6.762037114623815, 'title|boost': 2.094288199852499, 'title_bigrams|boost': 5.252895102033682, 'body|boost': 5.707725531705594, 'body_bigrams|boost': 5.435514558579094}\n",
+      " > iteration 17/50, took 0:01:20 (remains: 0:44:08)\n",
+      "   | 0.2395 (best: 0.2644) - {'url|boost': 1.1913490008445151, 'title|boost': 3.311842827617883, 'title_bigrams|boost': 6.639795583363172, 'body|boost': 4.572148362103241, 'body_bigrams|boost': 4.7804233197003745}\n",
+      " > iteration 18/50, took 0:01:20 (remains: 0:43:00)\n",
+      "   | 0.2457 (best: 0.2644) - {'url|boost': 5.864316158708592, 'title|boost': 1.4186406529959552, 'title_bigrams|boost': 7.138637063411185, 'body|boost': 6.360210281616807, 'body_bigrams|boost': 3.889780653498799}\n",
+      " > iteration 19/50, took 0:01:12 (remains: 0:37:41)\n",
+      "   | 0.2536 (best: 0.2644) - {'url|boost': 7.776200446259805, 'title|boost': 0.10901237243171936, 'title_bigrams|boost': 2.1574316918661056, 'body|boost': 7.361293186829623, 'body_bigrams|boost': 7.9220997389818475}\n",
+      " > iteration 20/50, took 0:01:12 (remains: 0:36:06)\n",
+      "   | 0.2494 (best: 0.2644) - {'url|boost': 3.5001480995009175, 'title|boost': 8.487999894293663, 'title_bigrams|boost': 9.419553084334213, 'body|boost': 9.43607561290597, 'body_bigrams|boost': 9.40797221848397}\n",
+      " > iteration 21/50, took 0:01:20 (remains: 0:38:52)\n",
+      "   | 0.2668 (best: 0.2668) - {'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 2.709015663987576}\n",
+      " > iteration 22/50, took 0:01:22 (remains: 0:38:16)\n",
+      "   | 0.2590 (best: 0.2668) - {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 10.0}\n",
+      " > iteration 23/50, took 0:01:11 (remains: 0:32:12)\n",
+      "   | 0.2441 (best: 0.2668) - {'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 0.0, 'body_bigrams|boost': 10.0}\n",
+      " > iteration 24/50, took 0:01:12 (remains: 0:31:27)\n",
+      "   | 0.2651 (best: 0.2668) - {'url|boost': 8.318538817895302, 'title|boost': 1.8992167719261914, 'title_bigrams|boost': 0.07914452565873532, 'body|boost': 7.9794483157366365, 'body_bigrams|boost': 0.34941838506440953}\n",
+      " > iteration 25/50, took 0:01:20 (remains: 0:33:33)\n",
+      "   | 0.2674 (best: 0.2674) - {'url|boost': 3.354795097315129, 'title|boost': 9.888666891964439, 'title_bigrams|boost': 0.1510429837056715, 'body|boost': 6.398640728523387, 'body_bigrams|boost': 4.019042816036517}\n",
+      " > iteration 26/50, took 0:01:11 (remains: 0:28:34)\n",
+      "   | 0.2211 (best: 0.2674) - {'url|boost': 7.026675076173989, 'title|boost': 9.593953563161055, 'title_bigrams|boost': 0.23797811067885388, 'body|boost': 0.024210438699381456, 'body_bigrams|boost': 0.5221787165042844}\n",
+      " > iteration 27/50, took 0:01:21 (remains: 0:31:03)\n",
+      "   | 0.2665 (best: 0.2674) - {'url|boost': 4.815644200603005, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 28/50, took 0:01:12 (remains: 0:26:40)\n",
+      "   | 0.2565 (best: 0.2674) - {'url|boost': 4.590161307161554, 'title|boost': 0.17350041891554316, 'title_bigrams|boost': 1.47044635378386, 'body|boost': 9.969436585850255, 'body_bigrams|boost': 7.202497738420174}\n",
+      " > iteration 29/50, took 0:01:20 (remains: 0:28:04)\n",
+      "   | 0.2629 (best: 0.2674) - {'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 7.982974206063529, 'body_bigrams|boost': 1.9590075863472303}\n",
+      " > iteration 30/50, took 0:01:20 (remains: 0:26:46)\n",
+      "   | 0.2498 (best: 0.2674) - {'url|boost': 0.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 1.0621712603863878}\n",
+      " > iteration 31/50, took 0:01:20 (remains: 0:25:22)\n",
+      "   | 0.2587 (best: 0.2674) - {'url|boost': 1.7817357417790782, 'title|boost': 9.90795890931337, 'title_bigrams|boost': 0.0424967053621371, 'body|boost': 5.619603788966123, 'body_bigrams|boost': 8.72130563595732}\n",
+      " > iteration 32/50, took 0:01:21 (remains: 0:24:25)\n",
+      "   | 0.2666 (best: 0.2674) - {'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 33/50, took 0:01:20 (remains: 0:22:45)\n",
+      "   | 0.2624 (best: 0.2674) - {'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 10.0}\n",
+      " > iteration 34/50, took 0:01:21 (remains: 0:21:38)\n",
+      "   | 0.2697 (best: 0.2697) - {'url|boost': 4.4456549932892, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 4.15407762153338}\n",
+      " > iteration 35/50, took 0:01:22 (remains: 0:20:30)\n",
+      "   | 0.2702 (best: 0.2702) - {'url|boost': 5.435085126441233, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 9.094189850273741, 'body_bigrams|boost': 2.7370930831094893}\n",
+      " > iteration 36/50, took 0:01:20 (remains: 0:18:46)\n",
+      "   | 0.2524 (best: 0.2702) - {'url|boost': 9.654229509275398, 'title|boost': 0.03448327757737069, 'title_bigrams|boost': 7.159111325401039, 'body|boost': 9.882105074467834, 'body_bigrams|boost': 6.1106660315666055}\n",
+      " > iteration 37/50, took 0:01:21 (remains: 0:17:33)\n",
+      "   | 0.2689 (best: 0.2702) - {'url|boost': 5.34795293381925, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.626365352991352, 'body_bigrams|boost': 4.741452778360825}\n",
+      " > iteration 38/50, took 0:01:12 (remains: 0:14:34)\n",
+      "   | 0.2467 (best: 0.2702) - {'url|boost': 9.887616746599353, 'title|boost': 9.972796782433173, 'title_bigrams|boost': 8.901668604939697, 'body|boost': 7.33610984708553, 'body_bigrams|boost': 9.76731440931757}\n",
+      " > iteration 39/50, took 0:01:21 (remains: 0:14:57)\n",
+      "   | 0.2695 (best: 0.2702) - {'url|boost': 0.032384347344864846, 'title|boost': 9.760749684508127, 'title_bigrams|boost': 0.17413269229163755, 'body|boost': 6.559638701835563, 'body_bigrams|boost': 1.27342878885956}\n",
+      " > iteration 40/50, took 0:01:21 (remains: 0:13:37)\n",
+      "   | 0.2741 (best: 0.2741) - {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.13715008265412, 'body_bigrams|boost': 3.224820909433157}\n",
+      " > iteration 41/50, took 0:01:20 (remains: 0:12:02)\n",
+      "   | 0.2413 (best: 0.2741) - {'url|boost': 0.2393346890708648, 'title|boost': 9.818400156146682, 'title_bigrams|boost': 0.10582612031179496, 'body|boost': 0.4532948666619974, 'body_bigrams|boost': 9.649165310035077}\n",
+      " > iteration 42/50, took 0:01:20 (remains: 0:10:45)\n",
+      "   | 0.2770 (best: 0.2770) - {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 9.035142069269364, 'body_bigrams|boost': 2.164255730827308}\n",
+      " > iteration 43/50, took 0:01:12 (remains: 0:08:24)\n",
+      "   | 0.2338 (best: 0.2770) - {'url|boost': 9.964020496628468, 'title|boost': 1.0935000922592233, 'title_bigrams|boost': 0.07511926306813078, 'body|boost': 0.9763922288593598, 'body_bigrams|boost': 9.900306936420858}\n",
+      " > iteration 44/50, took 0:01:19 (remains: 0:07:58)\n",
+      "   | 0.2437 (best: 0.2770) - {'url|boost': 0.19714136681191155, 'title|boost': 9.769886811876603, 'title_bigrams|boost': 9.7444973906314, 'body|boost': 9.247320619354433, 'body_bigrams|boost': 1.7285978355849687}\n",
+      " > iteration 45/50, took 0:01:19 (remains: 0:06:38)\n",
+      "   | 0.2437 (best: 0.2770) - {'url|boost': 9.844946972531265, 'title|boost': 0.6435797567642733, 'title_bigrams|boost': 0.20159836709140014, 'body|boost': 1.2285767271558514, 'body_bigrams|boost': 0.798617964133136}\n",
+      " > iteration 46/50, took 0:01:21 (remains: 0:05:24)\n",
+      "   | 0.2760 (best: 0.2770) - {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 1.5139687997941222}\n",
+      " > iteration 47/50, took 0:01:20 (remains: 0:04:01)\n",
+      "   | 0.2758 (best: 0.2770) - {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 2.327166002410171}\n",
+      " > iteration 48/50, took 0:01:21 (remains: 0:02:43)\n",
+      "   | 0.2756 (best: 0.2770) - {'url|boost': 0.0, 'title|boost': 9.106141964685746, 'title_bigrams|boost': 0.0, 'body|boost': 9.390140684791577, 'body_bigrams|boost': 1.9220889146114974}\n",
+      " > iteration 49/50, took 0:01:21 (remains: 0:01:21)\n",
+      "   | 0.2623 (best: 0.2770) - {'url|boost': 9.575079079556948, 'title|boost': 1.6269823284157339, 'title_bigrams|boost': 0.2452726755204438, 'body|boost': 9.776341042906031, 'body_bigrams|boost': 3.4212285042022765}\n",
+      " > iteration 50/50, took 0:01:12 (remains: 0:00:00)\n",
+      "   | 0.2478 (best: 0.2770) - {'url|boost': 9.889509667562585, 'title|boost': 8.652187864328262, 'title_bigrams|boost': 7.984628605793011, 'body|boost': 9.851764811457146, 'body_bigrams|boost': 5.3057038678571145}\n",
+      "Best score: 0.2770\n",
+      "Best params: {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 9.035142069269364, 'body_bigrams|boost': 2.164255730827308}\n",
+      "Final params: {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 9.035142069269364, 'body_bigrams|boost': 2.164255730827308}\n",
+      "\n",
+      "CPU times: user 1min 10s, sys: 16.2 s, total: 1min 26s\n",
+      "Wall time: 1h 5min 24s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
+    "    config_space=Config.parse({\n",
+    "        'method': 'bayesian',\n",
+    "        'num_iterations': 50,\n",
+    "        'num_initial_points': 20,\n",
+    "        'space': {\n",
+    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "        }\n",
+    "    }))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 25 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plot_objective(metadata, sample_source='result')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2978\n",
+      "CPU times: user 1.88 s, sys: 520 ms, total: 2.4 s\n",
+      "Wall time: 5min 29s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'url|boost': 0.0,\n",
+       " 'title|boost': 10.0,\n",
+       " 'title_bigrams|boost': 0.0,\n",
+       " 'body|boost': 9.035142069269364,\n",
+       " 'body_bigrams|boost': 2.164255730827308}"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_params"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Base fields + expansions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_templates = deepcopy(base_templates)\n",
+    "_templates[0]['template']['source']['query']['multi_match'] = {\n",
+    "    \"type\": query_type,\n",
+    "    \"query\": \"{{query_string}}\",\n",
+    "    \"fields\": [\n",
+    "        \"url^{{url|boost}}\",\n",
+    "        \"title^{{title|boost}}\",\n",
+    "        \"body^{{body|boost}}\",\n",
+    "        \"expansions^{{expansions|boost}}\",\n",
+    "    ]\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3269\n",
+      "CPU times: user 2.36 s, sys: 709 ms, total: 3.07 s\n",
+      "Wall time: 3min 3s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
+    "    'url|boost': 1.0,\n",
+    "    'title|boost': 1.0,\n",
+    "    'body|boost': 1.0,\n",
+    "    'expansions|boost': 1.0,\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 1/50, took 0:00:40 (remains: 0:32:48)\n",
+      "   | 0.3059 (best: 0.3059) - {'url|boost': 5.00796046814467, 'title|boost': 4.467783894901453, 'body|boost': 4.3421341461708085, 'expansions|boost': 5.800312865732512}\n",
+      " > iteration 2/50, took 0:00:31 (remains: 0:25:22)\n",
+      "   | 0.3063 (best: 0.3063) - {'url|boost': 9.900212103351505, 'title|boost': 2.9678411831352585, 'body|boost': 4.210396805793027, 'expansions|boost': 9.58146939432874}\n",
+      " > iteration 3/50, took 0:00:20 (remains: 0:15:44)\n",
+      "   | 0.2237 (best: 0.3063) - {'url|boost': 4.115460476754257, 'title|boost': 7.566511649035447, 'body|boost': 0.20180602959628205, 'expansions|boost': 0.1320712195305707}\n",
+      " > iteration 4/50, took 0:00:30 (remains: 0:23:44)\n",
+      "   | 0.3127 (best: 0.3127) - {'url|boost': 1.2764646941966853, 'title|boost': 3.816396715312197, 'body|boost': 4.726679031773983, 'expansions|boost': 5.8792360018202725}\n",
+      " > iteration 5/50, took 0:00:32 (remains: 0:24:02)\n",
+      "   | 0.2999 (best: 0.3127) - {'url|boost': 2.61059562566543, 'title|boost': 0.9923812123152744, 'body|boost': 0.9052491073198311, 'expansions|boost': 1.8310494948242064}\n",
+      " > iteration 6/50, took 0:00:33 (remains: 0:24:28)\n",
+      "   | 0.2923 (best: 0.3127) - {'url|boost': 7.656574450677256, 'title|boost': 9.974673133484483, 'body|boost': 8.11325645734777, 'expansions|boost': 4.99089238286629}\n",
+      " > iteration 7/50, took 0:00:32 (remains: 0:23:12)\n",
+      "   | 0.3072 (best: 0.3127) - {'url|boost': 8.617979847304605, 'title|boost': 5.30864463276155, 'body|boost': 8.806017510544718, 'expansions|boost': 9.62836532315931}\n",
+      " > iteration 8/50, took 0:00:33 (remains: 0:23:47)\n",
+      "   | 0.2987 (best: 0.3127) - {'url|boost': 9.31179489818756, 'title|boost': 6.153711682830517, 'body|boost': 6.873026866176563, 'expansions|boost': 6.621238163063282}\n",
+      " > iteration 9/50, took 0:00:31 (remains: 0:21:26)\n",
+      "   | 0.2954 (best: 0.3127) - {'url|boost': 3.848373065314876, 'title|boost': 2.7127360245089633, 'body|boost': 1.8076798200297997, 'expansions|boost': 3.1519101155398928}\n",
+      " > iteration 10/50, took 0:00:35 (remains: 0:23:47)\n",
+      "   | 0.2950 (best: 0.3127) - {'url|boost': 5.385185393854909, 'title|boost': 2.8573828137016672, 'body|boost': 6.188653563983538, 'expansions|boost': 2.2066458474161137}\n",
+      " > iteration 11/50, took 0:00:32 (remains: 0:21:04)\n",
+      "   | 0.2976 (best: 0.3127) - {'url|boost': 5.295454833702386, 'title|boost': 9.905948701913154, 'body|boost': 5.510797022368619, 'expansions|boost': 6.412923410576824}\n",
+      " > iteration 12/50, took 0:00:31 (remains: 0:20:03)\n",
+      "   | 0.3019 (best: 0.3127) - {'url|boost': 7.5170625584010065, 'title|boost': 3.985172220796054, 'body|boost': 3.691978606893698, 'expansions|boost': 6.987024603679326}\n",
+      " > iteration 13/50, took 0:00:25 (remains: 0:15:43)\n",
+      "   | 0.3114 (best: 0.3127) - {'url|boost': 4.1404256030531155, 'title|boost': 4.679912415704099, 'body|boost': 6.6831545592406405, 'expansions|boost': 8.15580958851153}\n",
+      " > iteration 14/50, took 0:00:33 (remains: 0:20:17)\n",
+      "   | 0.2802 (best: 0.3127) - {'url|boost': 9.684557915744751, 'title|boost': 8.2946284879942, 'body|boost': 0.5684468349618622, 'expansions|boost': 5.7706148699945095}\n",
+      " > iteration 15/50, took 0:00:33 (remains: 0:19:41)\n",
+      "   | 0.2668 (best: 0.3127) - {'url|boost': 6.151741820645894, 'title|boost': 6.798513185498265, 'body|boost': 7.7732880205312105, 'expansions|boost': 0.1830156934226446}\n",
+      " > iteration 16/50, took 0:00:26 (remains: 0:15:13)\n",
+      "   | 0.3043 (best: 0.3127) - {'url|boost': 0.6912476444053396, 'title|boost': 1.421240690982233, 'body|boost': 9.013399975805966, 'expansions|boost': 4.059143044428627}\n",
+      " > iteration 17/50, took 0:00:22 (remains: 0:12:12)\n",
+      "   | 0.2740 (best: 0.3127) - {'url|boost': 4.014859636073755, 'title|boost': 0.5538254488797868, 'body|boost': 0.13219775509305645, 'expansions|boost': 1.2537371712258019}\n",
+      " > iteration 18/50, took 0:00:23 (remains: 0:12:36)\n",
+      "   | 0.2955 (best: 0.3127) - {'url|boost': 7.803562438929433, 'title|boost': 8.372702701386562, 'body|boost': 3.5474507687318853, 'expansions|boost': 8.648391375297622}\n",
+      " > iteration 19/50, took 0:00:32 (remains: 0:16:39)\n",
+      "   | 0.2999 (best: 0.3127) - {'url|boost': 7.986031597551885, 'title|boost': 6.200569079316068, 'body|boost': 4.7903961601586245, 'expansions|boost': 7.467556883533274}\n",
+      " > iteration 20/50, took 0:00:34 (remains: 0:17:08)\n",
+      "   | 0.3068 (best: 0.3127) - {'url|boost': 3.696350620619255, 'title|boost': 5.959477378265172, 'body|boost': 7.385294870588694, 'expansions|boost': 6.190462829848743}\n",
+      " > iteration 21/50, took 0:00:16 (remains: 0:08:04)\n",
+      "   | 0.3059 (best: 0.3127) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 0.0, 'expansions|boost': 10.0}\n",
+      " > iteration 22/50, took 0:00:26 (remains: 0:12:10)\n",
+      "   | 0.3090 (best: 0.3127) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
+      " > iteration 23/50, took 0:00:22 (remains: 0:10:05)\n",
+      "   | 0.3129 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 3.876734415493556, 'expansions|boost': 5.821203587945371}\n",
+      " > iteration 24/50, took 0:00:32 (remains: 0:13:56)\n",
+      "   | 0.3084 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
+      " > iteration 25/50, took 0:00:27 (remains: 0:11:25)\n",
+      "   | 0.3096 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 8.639949140248856}\n",
+      " > iteration 26/50, took 0:00:17 (remains: 0:07:00)\n",
+      "   | 0.3059 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 0.0, 'expansions|boost': 6.170357098864516}\n",
+      " > iteration 27/50, took 0:00:19 (remains: 0:07:38)\n",
+      "   | 0.3127 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 5.3809337890459865, 'expansions|boost': 10.0}\n",
+      " > iteration 28/50, took 0:00:25 (remains: 0:09:24)\n",
+      "   | 0.3106 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 5.55462660845322, 'expansions|boost': 5.6647685971171855}\n",
+      " > iteration 29/50, took 0:00:26 (remains: 0:09:22)\n",
+      "   | 0.3117 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 4.6342427890641975, 'body|boost': 6.380149112533452, 'expansions|boost': 10.0}\n",
+      " > iteration 30/50, took 0:00:29 (remains: 0:09:41)\n",
+      "   | 0.3068 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.6133857613593221, 'body|boost': 10.0, 'expansions|boost': 7.711295029762672}\n",
+      " > iteration 31/50, took 0:00:30 (remains: 0:09:39)\n",
+      "   | 0.3104 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 4.873081329226892, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
+      " > iteration 32/50, took 0:00:19 (remains: 0:05:44)\n",
+      "   | 0.2412 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 0.0}\n",
+      " > iteration 33/50, took 0:00:19 (remains: 0:05:37)\n",
+      "   | 0.3053 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.28972525398892657, 'body|boost': 0.0, 'expansions|boost': 8.284149869288763}\n",
+      " > iteration 34/50, took 0:00:37 (remains: 0:09:55)\n",
+      "   | 0.2942 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 8.894609724266026, 'body|boost': 10.0, 'expansions|boost': 2.5445038788504175}\n",
+      " > iteration 35/50, took 0:00:19 (remains: 0:04:56)\n",
+      "   | 0.2827 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 9.256665396543264, 'body|boost': 0.0, 'expansions|boost': 4.6847171208827305}\n",
+      " > iteration 36/50, took 0:00:36 (remains: 0:08:27)\n",
+      "   | 0.2959 (best: 0.3129) - {'url|boost': 10.0, 'title|boost': 0.24829012336818684, 'body|boost': 10.0, 'expansions|boost': 3.684145975627198}\n",
+      " > iteration 37/50, took 0:00:22 (remains: 0:04:52)\n",
+      "   | 0.3125 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 5.318435347249467, 'expansions|boost': 8.255130782995394}\n",
+      " > iteration 38/50, took 0:00:25 (remains: 0:05:09)\n",
+      "   | 0.3075 (best: 0.3129) - {'url|boost': 0.0, 'title|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 8.295845655374393}\n",
+      " > iteration 39/50, took 0:00:15 (remains: 0:02:53)\n",
+      "   | 0.3141 (best: 0.3141) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 4.718961462119655, 'expansions|boost': 6.651327961195701}\n",
+      " > iteration 40/50, took 0:00:21 (remains: 0:03:37)\n",
+      "   | 0.2671 (best: 0.3141) - {'url|boost': 0.3407988393085606, 'title|boost': 9.26338801933018, 'body|boost': 0.1379854390186704, 'expansions|boost': 2.2814830076502464}\n",
+      " > iteration 41/50, took 0:00:23 (remains: 0:03:34)\n",
+      "   | 0.2945 (best: 0.3141) - {'url|boost': 0.0, 'title|boost': 10.0, 'body|boost': 0.0, 'expansions|boost': 10.0}\n",
+      " > iteration 42/50, took 0:00:18 (remains: 0:02:25)\n",
+      "   | 0.3065 (best: 0.3141) - {'url|boost': 0.41915044878098107, 'title|boost': 0.46383555286800915, 'body|boost': 0.042545346903628406, 'expansions|boost': 4.7034757524530475}\n",
+      " > iteration 43/50, took 0:00:26 (remains: 0:03:08)\n",
+      "   | 0.3097 (best: 0.3141) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 4.19518657290379, 'expansions|boost': 3.927099992678186}\n",
+      " > iteration 44/50, took 0:00:32 (remains: 0:03:16)\n",
+      "   | 0.3082 (best: 0.3141) - {'url|boost': 9.692164502845992, 'title|boost': 0.6219885234344004, 'body|boost': 8.134068749901513, 'expansions|boost': 9.68178375036134}\n",
+      " > iteration 45/50, took 0:00:30 (remains: 0:02:33)\n",
+      "   | 0.2925 (best: 0.3141) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 2.700501910561221}\n",
+      " > iteration 46/50, took 0:00:14 (remains: 0:00:57)\n",
+      "   | 0.3125 (best: 0.3141) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 5.723516010870653, 'expansions|boost': 8.855129876586204}\n",
+      " > iteration 47/50, took 0:00:18 (remains: 0:00:55)\n",
+      "   | 0.3122 (best: 0.3141) - {'url|boost': 0.0, 'title|boost': 3.2965123566228707, 'body|boost': 6.964577056360735, 'expansions|boost': 8.92684476600938}\n",
+      " > iteration 48/50, took 0:00:24 (remains: 0:00:48)\n",
+      "   | 0.3087 (best: 0.3141) - {'url|boost': 0.7507562496544974, 'title|boost': 0.9246942550158411, 'body|boost': 9.861288914674088, 'expansions|boost': 6.19335736011701}\n",
+      " > iteration 49/50, took 0:00:35 (remains: 0:00:35)\n",
+      "   | 0.3073 (best: 0.3141) - {'url|boost': 0.13208701730012654, 'title|boost': 5.833070135499916, 'body|boost': 9.941284999911005, 'expansions|boost': 6.395775543572178}\n",
+      " > iteration 50/50, took 0:00:23 (remains: 0:00:00)\n",
+      "   | 0.3118 (best: 0.3141) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 5.693945449245591, 'expansions|boost': 7.100066685641848}\n",
+      "Best score: 0.3141\n",
+      "Best params: {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 4.718961462119655, 'expansions|boost': 6.651327961195701}\n",
+      "Final params: {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 4.718961462119655, 'expansions|boost': 6.651327961195701}\n",
+      "\n",
+      "CPU times: user 1min 11s, sys: 16.1 s, total: 1min 27s\n",
+      "Wall time: 22min 40s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
+    "    config_space=Config.parse({\n",
+    "        'method': 'bayesian',\n",
+    "        'num_iterations': 50,\n",
+    "        'num_initial_points': 20,\n",
+    "        'space': {\n",
+    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'expansions|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "        }\n",
+    "    }))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 16 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plot_objective(metadata, sample_source='result')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3292\n",
+      "CPU times: user 1.9 s, sys: 525 ms, total: 2.42 s\n",
+      "Wall time: 2min 37s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'url|boost': 0.0,\n",
+       " 'title|boost': 0.0,\n",
+       " 'body|boost': 4.718961462119655,\n",
+       " 'expansions|boost': 6.651327961195701}"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_params"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Base fields + expansions + bigrams"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_templates = deepcopy(base_templates)\n",
+    "_templates[0]['template']['source']['query']['multi_match'] = {\n",
+    "    \"type\": query_type,\n",
+    "    \"query\": \"{{query_string}}\",\n",
+    "    \"fields\": [\n",
+    "        \"url^{{url|boost}}\",\n",
+    "        \"title^{{title|boost}}\",\n",
+    "        \"title.bigrams^{{title_bigrams|boost}}\",\n",
+    "        \"body^{{body|boost}}\",\n",
+    "        \"body.bigrams^{{body_bigrams|boost}}\",\n",
+    "        \"expansions^{{expansions|boost}}\",\n",
+    "        \"expansions.bigrams^{{expansions_bigrams|boost}}\"\n",
+    "    ]\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3203\n",
+      "CPU times: user 2.49 s, sys: 789 ms, total: 3.27 s\n",
+      "Wall time: 7min 8s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
+    "    'url|boost': 1.0,\n",
+    "    'title|boost': 1.0,\n",
+    "    'title_bigrams|boost': 1.0,\n",
+    "    'body|boost': 1.0,\n",
+    "    'body_bigrams|boost': 1.0,\n",
+    "    'expansions|boost': 1.0,\n",
+    "    'expansions_bigrams|boost': 1.0\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 1/100, took 0:01:32 (remains: 2:32:49)\n",
+      "   | 0.2979 (best: 0.2979) - {'url|boost': 4.618073524497234, 'title|boost': 6.347797803061562, 'title_bigrams|boost': 4.612678587028035, 'body|boost': 8.760882962170575, 'body_bigrams|boost': 2.801913185073393, 'expansions|boost': 6.8038187155703875, 'expansions_bigrams|boost': 1.625454928483412}\n",
+      " > iteration 2/100, took 0:01:30 (remains: 2:27:05)\n",
+      "   | 0.2783 (best: 0.2979) - {'url|boost': 3.940247461430019, 'title|boost': 4.144918701613149, 'title_bigrams|boost': 6.804427187711721, 'body|boost': 4.809265927658287, 'body_bigrams|boost': 2.004720016733041, 'expansions|boost': 3.8320986376781874, 'expansions_bigrams|boost': 1.3469527218406365}\n",
+      " > iteration 3/100, took 0:01:32 (remains: 2:28:59)\n",
+      "   | 0.2724 (best: 0.2979) - {'url|boost': 0.5660704127591855, 'title|boost': 6.3519614035256735, 'title_bigrams|boost': 9.333579998841792, 'body|boost': 2.966956069583478, 'body_bigrams|boost': 1.212260530822821, 'expansions|boost': 4.24011940918531, 'expansions_bigrams|boost': 4.238691460954202}\n",
+      " > iteration 4/100, took 0:01:31 (remains: 2:26:00)\n",
+      "   | 0.2694 (best: 0.2979) - {'url|boost': 3.0559425150235824, 'title|boost': 6.071079010011326, 'title_bigrams|boost': 6.268170560391127, 'body|boost': 3.7883144182938144, 'body_bigrams|boost': 1.1865797759462962, 'expansions|boost': 1.0659899138161002, 'expansions_bigrams|boost': 3.883082198496809}\n",
+      " > iteration 5/100, took 0:01:32 (remains: 2:26:52)\n",
+      "   | 0.2785 (best: 0.2979) - {'url|boost': 3.2177670812040775, 'title|boost': 6.7884219937019195, 'title_bigrams|boost': 8.55094131389998, 'body|boost': 1.5343355449737885, 'body_bigrams|boost': 4.494356572128977, 'expansions|boost': 6.025925701309856, 'expansions_bigrams|boost': 3.6402441044286578}\n",
+      " > iteration 6/100, took 0:01:25 (remains: 2:13:16)\n",
+      "   | 0.3002 (best: 0.3002) - {'url|boost': 9.819604996050973, 'title|boost': 8.156397692528717, 'title_bigrams|boost': 2.1408654150247637, 'body|boost': 9.343057430976746, 'body_bigrams|boost': 5.6215170390388085, 'expansions|boost': 8.627698807533902, 'expansions_bigrams|boost': 4.876020686561702}\n",
+      " > iteration 7/100, took 0:01:32 (remains: 2:23:31)\n",
+      "   | 0.2631 (best: 0.3002) - {'url|boost': 6.0806314816219516, 'title|boost': 0.7302148774887208, 'title_bigrams|boost': 9.174194929026632, 'body|boost': 5.092689383526578, 'body_bigrams|boost': 9.368396500347341, 'expansions|boost': 0.8987962516389382, 'expansions_bigrams|boost': 7.618101021146644}\n",
+      " > iteration 8/100, took 0:01:25 (remains: 2:10:46)\n",
+      "   | 0.2905 (best: 0.3002) - {'url|boost': 9.167564374590558, 'title|boost': 3.678449483276655, 'title_bigrams|boost': 4.03043381140877, 'body|boost': 8.283889867310073, 'body_bigrams|boost': 7.352945935809181, 'expansions|boost': 5.127725220106745, 'expansions_bigrams|boost': 4.524001548492352}\n",
+      " > iteration 9/100, took 0:01:25 (remains: 2:08:57)\n",
+      "   | 0.3006 (best: 0.3006) - {'url|boost': 3.613591897340544, 'title|boost': 0.48186953980499225, 'title_bigrams|boost': 4.098461116756464, 'body|boost': 6.273737878281629, 'body_bigrams|boost': 8.786986040987514, 'expansions|boost': 8.671199110685835, 'expansions_bigrams|boost': 9.867396555745085}\n",
+      " > iteration 10/100, took 0:01:24 (remains: 2:06:38)\n",
+      "   | 0.2755 (best: 0.3006) - {'url|boost': 3.591546562271635, 'title|boost': 9.481169307136994, 'title_bigrams|boost': 9.418283375599412, 'body|boost': 4.111022077840239, 'body_bigrams|boost': 0.7488016216560646, 'expansions|boost': 7.924348992583363, 'expansions_bigrams|boost': 0.4344180155985445}\n",
+      " > iteration 11/100, took 0:01:32 (remains: 2:16:48)\n",
+      "   | 0.2805 (best: 0.3006) - {'url|boost': 7.6241812753012415, 'title|boost': 4.5193432342211945, 'title_bigrams|boost': 5.753366684977217, 'body|boost': 1.0333595153941912, 'body_bigrams|boost': 1.6838781865155974, 'expansions|boost': 4.134920053808207, 'expansions_bigrams|boost': 4.135933052135759}\n",
+      " > iteration 12/100, took 0:01:24 (remains: 2:03:59)\n",
+      "   | 0.2631 (best: 0.3006) - {'url|boost': 2.986638427598624, 'title|boost': 4.978728926462096, 'title_bigrams|boost': 8.152900254285303, 'body|boost': 2.712604468655457, 'body_bigrams|boost': 8.784675591636246, 'expansions|boost': 1.160926524649514, 'expansions_bigrams|boost': 9.182233150875218}\n",
+      " > iteration 13/100, took 0:01:24 (remains: 2:03:13)\n",
+      "   | 0.2865 (best: 0.3006) - {'url|boost': 5.506811403916986, 'title|boost': 3.594228697926594, 'title_bigrams|boost': 6.143958512110742, 'body|boost': 7.1791392315589935, 'body_bigrams|boost': 0.04041762814889661, 'expansions|boost': 4.558582243561292, 'expansions_bigrams|boost': 1.1495297779424176}\n",
+      " > iteration 14/100, took 0:01:31 (remains: 2:11:47)\n",
+      "   | 0.2487 (best: 0.3006) - {'url|boost': 4.0710437809456845, 'title|boost': 0.841786033844878, 'title_bigrams|boost': 9.808239251164325, 'body|boost': 0.8088985935832272, 'body_bigrams|boost': 7.0677406932984095, 'expansions|boost': 0.09496556338243646, 'expansions_bigrams|boost': 9.561581571871884}\n",
+      " > iteration 15/100, took 0:01:32 (remains: 2:11:32)\n",
+      "   | 0.2680 (best: 0.3006) - {'url|boost': 9.99561142478414, 'title|boost': 3.834599941730371, 'title_bigrams|boost': 2.1080833949279603, 'body|boost': 9.695233064952438, 'body_bigrams|boost': 9.81104235264356, 'expansions|boost': 0.5887618006316265, 'expansions_bigrams|boost': 3.028123666638724}\n",
+      " > iteration 16/100, took 0:01:31 (remains: 2:08:05)\n",
+      "   | 0.2931 (best: 0.3006) - {'url|boost': 7.42029710981064, 'title|boost': 9.304397018224718, 'title_bigrams|boost': 2.5570785293850657, 'body|boost': 5.55677995148972, 'body_bigrams|boost': 7.527754491645599, 'expansions|boost': 4.8807212437958345, 'expansions_bigrams|boost': 6.099752082286378}\n",
+      " > iteration 17/100, took 0:01:32 (remains: 2:08:29)\n",
+      "   | 0.2973 (best: 0.3006) - {'url|boost': 1.0806673319904294, 'title|boost': 5.880622277616854, 'title_bigrams|boost': 3.3376075401599055, 'body|boost': 4.82675576541343, 'body_bigrams|boost': 8.466979094863529, 'expansions|boost': 9.556186058773594, 'expansions_bigrams|boost': 6.060847235194622}\n",
+      " > iteration 18/100, took 0:01:24 (remains: 1:55:58)\n",
+      "   | 0.2876 (best: 0.3006) - {'url|boost': 9.112233735829001, 'title|boost': 3.7417560054240533, 'title_bigrams|boost': 7.554454765390844, 'body|boost': 7.488719267040565, 'body_bigrams|boost': 9.513593391995693, 'expansions|boost': 7.878441408799354, 'expansions_bigrams|boost': 3.473367409656381}\n",
+      " > iteration 19/100, took 0:01:31 (remains: 2:03:53)\n",
+      "   | 0.3104 (best: 0.3104) - {'url|boost': 3.9605746976736453, 'title|boost': 7.005774376127563, 'title_bigrams|boost': 1.808911251236395, 'body|boost': 9.144073043549497, 'body_bigrams|boost': 1.1908422216403072, 'expansions|boost': 8.281870841520904, 'expansions_bigrams|boost': 1.6758615564443282}\n",
+      " > iteration 20/100, took 0:01:26 (remains: 1:55:04)\n",
+      "   | 0.2971 (best: 0.3104) - {'url|boost': 8.811389531067167, 'title|boost': 4.440214167760317, 'title_bigrams|boost': 4.209461602745538, 'body|boost': 3.2877029166313516, 'body_bigrams|boost': 2.5993930992162935, 'expansions|boost': 6.661217492332141, 'expansions_bigrams|boost': 6.117727345182635}\n",
+      " > iteration 21/100, took 0:01:33 (remains: 2:03:21)\n",
+      "   | 0.3084 (best: 0.3104) - {'url|boost': 0.0, 'title|boost': 5.521848451255122, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.869216208721262, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 22/100, took 0:01:31 (remains: 1:59:35)\n",
+      "   | 0.3090 (best: 0.3104) - {'url|boost': 0.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 23/100, took 0:01:32 (remains: 1:58:52)\n",
+      "   | 0.3044 (best: 0.3104) - {'url|boost': 6.909441621728663, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 0.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 24/100, took 0:01:26 (remains: 1:49:29)\n",
+      "   | 0.3042 (best: 0.3104) - {'url|boost': 4.588426665060828, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 25/100, took 0:01:34 (remains: 1:57:35)\n",
+      "   | 0.3092 (best: 0.3104) - {'url|boost': 0.6031300638331473, 'title|boost': 0.7972186111662306, 'title_bigrams|boost': 0.02575229241624011, 'body|boost': 0.08272655986674039, 'body_bigrams|boost': 2.042228556070323, 'expansions|boost': 6.370142701974033, 'expansions_bigrams|boost': 1.8616641883652731}\n",
+      " > iteration 26/100, took 0:01:34 (remains: 1:56:11)\n",
+      "   | 0.2980 (best: 0.3104) - {'url|boost': 9.83553897199484, 'title|boost': 0.3630470354437743, 'title_bigrams|boost': 0.13468158231487395, 'body|boost': 2.9047222784896105, 'body_bigrams|boost': 4.436897988907199, 'expansions|boost': 6.912047234590647, 'expansions_bigrams|boost': 0.46228805528462874}\n",
+      " > iteration 27/100, took 0:01:34 (remains: 1:54:37)\n",
+      "   | 0.3001 (best: 0.3104) - {'url|boost': 0.11505658742914428, 'title|boost': 6.190745828934706, 'title_bigrams|boost': 0.09178994280667598, 'body|boost': 7.475238472963315, 'body_bigrams|boost': 6.216975447757319, 'expansions|boost': 3.3936330350720194, 'expansions_bigrams|boost': 9.570944502106878}\n",
+      " > iteration 28/100, took 0:01:25 (remains: 1:43:03)\n",
+      "   | 0.3122 (best: 0.3122) - {'url|boost': 0.32504644971893987, 'title|boost': 1.5132546532940585, 'title_bigrams|boost': 0.031374677271430736, 'body|boost': 8.832356420211228, 'body_bigrams|boost': 1.1850683501959693, 'expansions|boost': 6.62844776157174, 'expansions_bigrams|boost': 8.121698959023096}\n",
+      " > iteration 29/100, took 0:01:34 (remains: 1:52:23)\n",
+      "   | 0.2945 (best: 0.3122) - {'url|boost': 0.34458402204345934, 'title|boost': 2.256999500829237, 'title_bigrams|boost': 0.22198934936378148, 'body|boost': 0.6063306168896411, 'body_bigrams|boost': 7.891744431296872, 'expansions|boost': 8.046346739108008, 'expansions_bigrams|boost': 7.46897363634338}\n",
+      " > iteration 30/100, took 0:01:26 (remains: 1:40:28)\n",
+      "   | 0.3003 (best: 0.3122) - {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 5.722803686541841, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 31/100, took 0:01:26 (remains: 1:39:28)\n",
+      "   | 0.3065 (best: 0.3122) - {'url|boost': 0.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 3.782592093890604, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.120194564363821, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 32/100, took 0:01:33 (remains: 1:46:29)\n",
+      "   | 0.3172 (best: 0.3172) - {'url|boost': 4.664306349884641, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.1345252910013, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.368320728590072, 'expansions_bigrams|boost': 5.081519067943089}\n",
+      " > iteration 33/100, took 0:01:25 (remains: 1:35:31)\n",
+      "   | 0.3127 (best: 0.3172) - {'url|boost': 6.222663776611631, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.688743799120564, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 34/100, took 0:01:33 (remains: 1:42:19)\n",
+      "   | 0.2988 (best: 0.3172) - {'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 35/100, took 0:01:34 (remains: 1:42:03)\n",
+      "   | 0.3186 (best: 0.3186) - {'url|boost': 2.940239816587157, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 5.837031492354278, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.79721408795435, 'expansions_bigrams|boost': 3.1852010660259955}\n",
+      " > iteration 36/100, took 0:01:33 (remains: 1:40:13)\n",
+      "   | 0.3160 (best: 0.3186) - {'url|boost': 3.3186451832505064, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 5.928417635390948, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.909004417327605, 'expansions_bigrams|boost': 4.400670427164121}\n",
+      " > iteration 37/100, took 0:01:34 (remains: 1:38:48)\n",
+      "   | 0.3183 (best: 0.3186) - {'url|boost': 3.5573817647614736, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 6.804232057014952, 'body_bigrams|boost': 0.0, 'expansions|boost': 9.230985960904071, 'expansions_bigrams|boost': 3.300940149126701}\n",
+      " > iteration 38/100, took 0:01:26 (remains: 1:29:20)\n",
+      "   | 0.2972 (best: 0.3186) - {'url|boost': 2.3323206505803444, 'title|boost': 2.6985107527720924, 'title_bigrams|boost': 9.88198384847305, 'body|boost': 9.281677372089419, 'body_bigrams|boost': 0.15415381731795577, 'expansions|boost': 9.887130519359365, 'expansions_bigrams|boost': 9.305813314473241}\n",
+      " > iteration 39/100, took 0:01:32 (remains: 1:33:59)\n",
+      "   | 0.2936 (best: 0.3186) - {'url|boost': 9.816973590763896, 'title|boost': 4.099901646552477, 'title_bigrams|boost': 0.4153368338462094, 'body|boost': 4.645675053850099, 'body_bigrams|boost': 0.29309285355313636, 'expansions|boost': 0.515598337418215, 'expansions_bigrams|boost': 9.280221072869471}\n",
+      " > iteration 40/100, took 0:01:35 (remains: 1:35:02)\n",
+      "   | 0.3167 (best: 0.3186) - {'url|boost': 0.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.10746356104339, 'expansions_bigrams|boost': 3.2390332628496754}\n",
+      " > iteration 41/100, took 0:01:33 (remains: 1:31:35)\n",
+      "   | 0.2929 (best: 0.3186) - {'url|boost': 4.0768743177002795, 'title|boost': 7.248913179997824, 'title_bigrams|boost': 9.828102133537222, 'body|boost': 9.98233077934861, 'body_bigrams|boost': 9.19662190631821, 'expansions|boost': 9.847298833565677, 'expansions_bigrams|boost': 9.662682021232069}\n",
+      " > iteration 42/100, took 0:01:31 (remains: 1:28:28)\n",
+      "   | 0.3134 (best: 0.3186) - {'url|boost': 0.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 4.93562906404088, 'body_bigrams|boost': 0.0, 'expansions|boost': 9.500218670524056, 'expansions_bigrams|boost': 3.3172102552054605}\n",
+      " > iteration 43/100, took 0:01:32 (remains: 1:28:20)\n",
+      "   | 0.3178 (best: 0.3186) - {'url|boost': 4.111262668263759, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 9.037919391614444, 'expansions_bigrams|boost': 3.151366660127206}\n",
+      " > iteration 44/100, took 0:01:33 (remains: 1:27:11)\n",
+      "   | 0.3174 (best: 0.3186) - {'url|boost': 3.0407469566215584, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 7.753610702326148, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.134900961597035, 'expansions_bigrams|boost': 2.6593175024739835}\n",
+      " > iteration 45/100, took 0:01:33 (remains: 1:26:06)\n",
+      "   | 0.3046 (best: 0.3186) - {'url|boost': 9.035137353460717, 'title|boost': 1.2322772724063726, 'title_bigrams|boost': 0.46267894748886157, 'body|boost': 0.4349963783714717, 'body_bigrams|boost': 5.293078794963108, 'expansions|boost': 9.67632410686292, 'expansions_bigrams|boost': 9.890702338541718}\n",
+      " > iteration 46/100, took 0:01:30 (remains: 1:21:43)\n",
+      "   | 0.3023 (best: 0.3186) - {'url|boost': 3.4299633365863795, 'title|boost': 0.2928091647300269, 'title_bigrams|boost': 1.2035104773252017, 'body|boost': 9.6052550299929, 'body_bigrams|boost': 0.6418087900486481, 'expansions|boost': 0.3218501022973253, 'expansions_bigrams|boost': 8.971693786888897}\n",
+      " > iteration 47/100, took 0:01:32 (remains: 1:21:34)\n",
+      "   | 0.3169 (best: 0.3186) - {'url|boost': 2.882926654149358, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 9.242573962188292, 'expansions_bigrams|boost': 4.477509137499164}\n",
+      " > iteration 48/100, took 0:01:26 (remains: 1:15:13)\n",
+      "   | 0.3190 (best: 0.3190) - {'url|boost': 2.9222339747446613, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.680811996359077, 'expansions_bigrams|boost': 3.8642116838677154}\n",
+      " > iteration 49/100, took 0:01:33 (remains: 1:19:24)\n",
+      "   | 0.3182 (best: 0.3190) - {'url|boost': 2.8926034180846534, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.485803056560297, 'expansions_bigrams|boost': 3.8982834181380044}\n",
+      " > iteration 50/100, took 0:01:32 (remains: 1:17:26)\n",
+      "   | 0.2780 (best: 0.3190) - {'url|boost': 0.5274887651068495, 'title|boost': 1.6144370825901446, 'title_bigrams|boost': 0.16766518128011557, 'body|boost': 0.27167570814083614, 'body_bigrams|boost': 1.1787405467218206, 'expansions|boost': 0.05449755320497852, 'expansions_bigrams|boost': 4.351169438140301}\n",
+      " > iteration 51/100, took 0:01:26 (remains: 1:10:41)\n",
+      "   | 0.3005 (best: 0.3190) - {'url|boost': 3.201608983664343, 'title|boost': 1.379565719871937, 'title_bigrams|boost': 0.0222930734413096, 'body|boost': 6.149327425236637, 'body_bigrams|boost': 9.645446310484035, 'expansions|boost': 9.886305894420358, 'expansions_bigrams|boost': 0.5543856821058369}\n",
+      " > iteration 52/100, took 0:01:24 (remains: 1:07:54)\n",
+      "   | 0.2846 (best: 0.3190) - {'url|boost': 8.676194223972832, 'title|boost': 6.019081970937755, 'title_bigrams|boost': 9.164184401076875, 'body|boost': 0.46815381923559723, 'body_bigrams|boost': 1.3014389657006078, 'expansions|boost': 8.997475761064416, 'expansions_bigrams|boost': 9.97440667508346}\n",
+      " > iteration 53/100, took 0:01:24 (remains: 1:06:04)\n",
+      "   | 0.3087 (best: 0.3190) - {'url|boost': 9.580453650225948, 'title|boost': 5.518002421337206, 'title_bigrams|boost': 0.8398033517083149, 'body|boost': 5.368804227530658, 'body_bigrams|boost': 0.3419538290085323, 'expansions|boost': 9.89350602272156, 'expansions_bigrams|boost': 9.624483734198053}\n",
+      " > iteration 54/100, took 0:01:31 (remains: 1:10:15)\n",
+      "   | 0.2890 (best: 0.3190) - {'url|boost': 8.032395702069678, 'title|boost': 9.457597028320846, 'title_bigrams|boost': 6.081000663689312, 'body|boost': 9.380455609180713, 'body_bigrams|boost': 0.32626837940541004, 'expansions|boost': 2.620023404597755, 'expansions_bigrams|boost': 9.826861530586992}\n",
+      " > iteration 55/100, took 0:01:26 (remains: 1:05:10)\n",
+      "   | 0.3083 (best: 0.3190) - {'url|boost': 2.2559972935051436, 'title|boost': 0.8393649159771822, 'title_bigrams|boost': 5.489544532521999, 'body|boost': 9.49670451766735, 'body_bigrams|boost': 0.565508158549456, 'expansions|boost': 9.933413727837127, 'expansions_bigrams|boost': 2.9106381046975445}\n",
+      " > iteration 56/100, took 0:01:33 (remains: 1:08:30)\n",
+      "   | 0.3185 (best: 0.3190) - {'url|boost': 3.1321031587913266, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.956880487506957, 'expansions_bigrams|boost': 3.6015097469238704}\n",
+      " > iteration 57/100, took 0:01:33 (remains: 1:07:12)\n",
+      "   | 0.3096 (best: 0.3190) - {'url|boost': 8.555901724810887, 'title|boost': 3.030893990034182, 'title_bigrams|boost': 0.6951925742699817, 'body|boost': 9.566883633104485, 'body_bigrams|boost': 0.3463252714707366, 'expansions|boost': 9.510637903317091, 'expansions_bigrams|boost': 1.5392254726514034}\n",
+      " > iteration 58/100, took 0:01:34 (remains: 1:05:58)\n",
+      "   | 0.2970 (best: 0.3190) - {'url|boost': 2.954157345999469, 'title|boost': 1.3699818638975483, 'title_bigrams|boost': 0.11143356009598816, 'body|boost': 0.02288760660722811, 'body_bigrams|boost': 1.1442903775290172, 'expansions|boost': 3.7229975412445753, 'expansions_bigrams|boost': 9.940369501299738}\n",
+      " > iteration 59/100, took 0:01:35 (remains: 1:05:00)\n",
+      "   | 0.3172 (best: 0.3190) - {'url|boost': 3.3946595406472424, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.259521375119917, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.11010616858434, 'expansions_bigrams|boost': 3.1326981428690646}\n",
+      " > iteration 60/100, took 0:01:25 (remains: 0:56:48)\n",
+      "   | 0.3181 (best: 0.3190) - {'url|boost': 2.556624294192638, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.658834963380048, 'expansions_bigrams|boost': 4.310491447454405}\n",
+      " > iteration 61/100, took 0:01:25 (remains: 0:55:15)\n",
+      "   | 0.3160 (best: 0.3190) - {'url|boost': 3.1735325168488195, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.717226552369873, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.157857952033247, 'expansions_bigrams|boost': 3.432719357648745}\n",
+      " > iteration 62/100, took 0:01:30 (remains: 0:57:14)\n",
+      "   | 0.3039 (best: 0.3190) - {'url|boost': 9.14882626135004, 'title|boost': 5.355830293527659, 'title_bigrams|boost': 0.10393584154339443, 'body|boost': 0.14329222545308332, 'body_bigrams|boost': 0.7556343689644597, 'expansions|boost': 8.003561970492342, 'expansions_bigrams|boost': 6.064742770441372}\n",
+      " > iteration 63/100, took 0:01:33 (remains: 0:57:45)\n",
+      "   | 0.2975 (best: 0.3190) - {'url|boost': 9.742816095365672, 'title|boost': 1.9660866379069293, 'title_bigrams|boost': 0.9756265286534163, 'body|boost': 9.76485004449377, 'body_bigrams|boost': 9.369376510138506, 'expansions|boost': 5.009358681719728, 'expansions_bigrams|boost': 9.744248248043087}\n",
+      " > iteration 64/100, took 0:01:30 (remains: 0:54:18)\n",
+      "   | 0.3179 (best: 0.3190) - {'url|boost': 2.367175551211146, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.504259883151039, 'expansions_bigrams|boost': 4.611537792773854}\n",
+      " > iteration 65/100, took 0:01:31 (remains: 0:53:16)\n",
+      "   | 0.3104 (best: 0.3190) - {'url|boost': 1.4815280905324848, 'title|boost': 1.2692001267347066, 'title_bigrams|boost': 3.8618846270730742, 'body|boost': 9.926107633451862, 'body_bigrams|boost': 0.5602177176036794, 'expansions|boost': 6.801574102123558, 'expansions_bigrams|boost': 5.975822665669428}\n",
+      " > iteration 66/100, took 0:01:34 (remains: 0:53:26)\n",
+      "   | 0.3166 (best: 0.3190) - {'url|boost': 3.323060517143354, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.484955709905822, 'expansions_bigrams|boost': 4.053445588791016}\n",
+      " > iteration 67/100, took 0:01:32 (remains: 0:50:47)\n",
+      "   | 0.2610 (best: 0.3190) - {'url|boost': 0.047852640342812565, 'title|boost': 2.6049518607858886, 'title_bigrams|boost': 0.2914682167872951, 'body|boost': 9.404218729053294, 'body_bigrams|boost': 7.90594163345723, 'expansions|boost': 0.9869463629342359, 'expansions_bigrams|boost': 0.30955758376736703}\n",
+      " > iteration 68/100, took 0:01:32 (remains: 0:49:04)\n",
+      "   | 0.3095 (best: 0.3190) - {'url|boost': 7.748068404661906, 'title|boost': 1.9271014681991154, 'title_bigrams|boost': 0.15783803071911742, 'body|boost': 9.92473104996144, 'body_bigrams|boost': 1.0328637116841157, 'expansions|boost': 2.33892913793224, 'expansions_bigrams|boost': 7.311029192787487}\n",
+      " > iteration 69/100, took 0:01:26 (remains: 0:44:50)\n",
+      "   | 0.3151 (best: 0.3190) - {'url|boost': 2.6864065422197148, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 5.288528102123391, 'expansions_bigrams|boost': 6.075716673925241}\n",
+      " > iteration 70/100, took 0:01:33 (remains: 0:46:35)\n",
+      "   | 0.3170 (best: 0.3190) - {'url|boost': 7.8721466744644815, 'title|boost': 0.4723160069203637, 'title_bigrams|boost': 0.2844125633019379, 'body|boost': 8.376302238320376, 'body_bigrams|boost': 0.8018064632445466, 'expansions|boost': 9.970084953753034, 'expansions_bigrams|boost': 6.494898979260127}\n",
+      " > iteration 71/100, took 0:01:29 (remains: 0:43:28)\n",
+      "   | 0.3173 (best: 0.3190) - {'url|boost': 6.145010276891072, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 6.65997740844293}\n",
+      " > iteration 72/100, took 0:01:28 (remains: 0:41:13)\n",
+      "   | 0.3165 (best: 0.3190) - {'url|boost': 10.0, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 7.271933212710974}\n",
+      " > iteration 73/100, took 0:01:31 (remains: 0:40:59)\n",
+      "   | 0.3018 (best: 0.3190) - {'url|boost': 9.376192008221789, 'title|boost': 0.002275595406471265, 'title_bigrams|boost': 3.8670435955047977, 'body|boost': 0.3269668695437001, 'body_bigrams|boost': 0.9951806080941275, 'expansions|boost': 9.61697381196144, 'expansions_bigrams|boost': 5.92303991262194}\n",
+      " > iteration 74/100, took 0:01:34 (remains: 0:40:47)\n",
+      "   | 0.3180 (best: 0.3190) - {'url|boost': 5.654914845919729, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.813392857566746}\n",
+      " > iteration 75/100, took 0:01:34 (remains: 0:39:25)\n",
+      "   | 0.3165 (best: 0.3190) - {'url|boost': 5.020395577053318, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.440082793726008, 'expansions_bigrams|boost': 4.843185758612115}\n",
+      " > iteration 76/100, took 0:01:30 (remains: 0:36:12)\n",
+      "   | 0.2920 (best: 0.3190) - {'url|boost': 0.09514065132103623, 'title|boost': 4.659122792713624, 'title_bigrams|boost': 8.280559881407994, 'body|boost': 9.62529279117628, 'body_bigrams|boost': 9.145816813087137, 'expansions|boost': 9.954264128207232, 'expansions_bigrams|boost': 1.3754819222137462}\n",
+      " > iteration 77/100, took 0:01:29 (remains: 0:34:16)\n",
+      "   | 0.2922 (best: 0.3190) - {'url|boost': 9.973405119191453, 'title|boost': 1.0556235671470173, 'title_bigrams|boost': 8.102494539480347, 'body|boost': 9.342032856891207, 'body_bigrams|boost': 0.1140153336076122, 'expansions|boost': 9.448745249431848, 'expansions_bigrams|boost': 0.7939500555743707}\n",
+      " > iteration 78/100, took 0:01:27 (remains: 0:31:54)\n",
+      "   | 0.2901 (best: 0.3190) - {'url|boost': 4.444980338998939, 'title|boost': 0.18770707455075367, 'title_bigrams|boost': 4.71393353259066, 'body|boost': 0.003048454760247177, 'body_bigrams|boost': 9.83353947159709, 'expansions|boost': 9.92519667193398, 'expansions_bigrams|boost': 0.41951068247272355}\n",
+      " > iteration 79/100, took 0:01:30 (remains: 0:31:35)\n",
+      "   | 0.3180 (best: 0.3190) - {'url|boost': 5.570325401067447, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.858623745239156}\n",
+      " > iteration 80/100, took 0:01:25 (remains: 0:28:35)\n",
+      "   | 0.3178 (best: 0.3190) - {'url|boost': 5.626690601744627, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.926123285214795}\n",
+      " > iteration 81/100, took 0:01:27 (remains: 0:27:43)\n",
+      "   | 0.3172 (best: 0.3190) - {'url|boost': 5.617534635920799, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 6.640102683912579}\n",
+      " > iteration 82/100, took 0:01:30 (remains: 0:27:10)\n",
+      "   | 0.3184 (best: 0.3190) - {'url|boost': 6.097183383183431, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.652233132033602}\n",
+      " > iteration 83/100, took 0:01:27 (remains: 0:24:47)\n",
+      "   | 0.2836 (best: 0.3190) - {'url|boost': 0.4314928513197847, 'title|boost': 3.5956836127023446, 'title_bigrams|boost': 9.367131028791533, 'body|boost': 9.746059807086958, 'body_bigrams|boost': 5.809033679929609, 'expansions|boost': 4.128256013247453, 'expansions_bigrams|boost': 9.893228481270945}\n",
+      " > iteration 84/100, took 0:01:30 (remains: 0:24:00)\n",
+      "   | 0.3172 (best: 0.3190) - {'url|boost': 2.178102456978873, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 7.723595721807034, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.486171934930147, 'expansions_bigrams|boost': 3.3931578841187964}\n",
+      " > iteration 85/100, took 0:01:26 (remains: 0:21:37)\n",
+      "   | 0.3183 (best: 0.3190) - {'url|boost': 6.093134062638351, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.605588564405637}\n",
+      " > iteration 86/100, took 0:01:25 (remains: 0:20:01)\n",
+      "   | 0.3176 (best: 0.3190) - {'url|boost': 6.520682922443299, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.745459557318176}\n",
+      " > iteration 87/100, took 0:01:30 (remains: 0:19:30)\n",
+      "   | 0.3178 (best: 0.3190) - {'url|boost': 4.966043617169939, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.334547078280313}\n",
+      " > iteration 88/100, took 0:01:28 (remains: 0:17:36)\n",
+      "   | 0.3167 (best: 0.3190) - {'url|boost': 3.914997104927749, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.347234067127472, 'body_bigrams|boost': 0.0, 'expansions|boost': 8.51428194094069, 'expansions_bigrams|boost': 3.6847021584408917}\n",
+      " > iteration 89/100, took 0:01:30 (remains: 0:16:34)\n",
+      "   | 0.3190 (best: 0.3190) - {'url|boost': 7.048156283046325, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.245435934729184}\n",
+      " > iteration 90/100, took 0:01:29 (remains: 0:14:55)\n",
+      "   | 0.3194 (best: 0.3194) - {'url|boost': 7.5510316594810964, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.243287957841142}\n",
+      " > iteration 91/100, took 0:01:29 (remains: 0:13:28)\n",
+      "   | 0.3190 (best: 0.3194) - {'url|boost': 8.26656396858937, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.237668033517105}\n",
+      " > iteration 92/100, took 0:01:30 (remains: 0:12:03)\n",
+      "   | 0.3190 (best: 0.3194) - {'url|boost': 8.800407950598993, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.244023806319129}\n",
+      " > iteration 93/100, took 0:01:29 (remains: 0:10:29)\n",
+      "   | 0.3183 (best: 0.3194) - {'url|boost': 9.356935755138089, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.264668117563851}\n",
+      " > iteration 94/100, took 0:01:31 (remains: 0:09:10)\n",
+      "   | 0.2986 (best: 0.3194) - {'url|boost': 0.34990706765332785, 'title|boost': 3.767294300448979, 'title_bigrams|boost': 2.4849021439973114, 'body|boost': 0.5912345992426405, 'body_bigrams|boost': 0.3367830423025165, 'expansions|boost': 9.984670768557857, 'expansions_bigrams|boost': 9.45742645887214}\n",
+      " > iteration 95/100, took 0:01:31 (remains: 0:07:35)\n",
+      "   | 0.3190 (best: 0.3194) - {'url|boost': 8.773929257750062, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.238440365719446}\n",
+      " > iteration 96/100, took 0:01:26 (remains: 0:05:45)\n",
+      "   | 0.3182 (best: 0.3194) - {'url|boost': 8.978660301920385, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.243776341355527}\n",
+      " > iteration 97/100, took 0:01:34 (remains: 0:04:43)\n",
+      "   | 0.3188 (best: 0.3194) - {'url|boost': 8.147422878202095, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.393159737361968, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.079114501808526}\n",
+      " > iteration 98/100, took 0:01:28 (remains: 0:02:57)\n",
+      "   | 0.3179 (best: 0.3194) - {'url|boost': 8.179099506279785, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 8.180252656378258, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.073714561237099}\n",
+      " > iteration 99/100, took 0:01:30 (remains: 0:01:30)\n",
+      "   | 0.3191 (best: 0.3194) - {'url|boost': 8.380708576917726, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.341310077119421}\n",
+      " > iteration 100/100, took 0:01:29 (remains: 0:00:00)\n",
+      "   | 0.3190 (best: 0.3194) - {'url|boost': 8.422751074163315, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.37340665369896}\n",
+      "Best score: 0.3194\n",
+      "Best params: {'url|boost': 7.5510316594810964, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.243287957841142}\n",
+      "Final params: {'url|boost': 7.5510316594810964, 'title|boost': 0.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.243287957841142}\n",
+      "\n",
+      "CPU times: user 3min 29s, sys: 40.4 s, total: 4min 9s\n",
+      "Wall time: 2h 30min 32s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
+    "    config_space=Config.parse({\n",
+    "        'method': 'bayesian',\n",
+    "        'num_iterations': 100,\n",
+    "        'num_initial_points': 20,\n",
+    "        'space': {\n",
+    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'expansions|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'expansions_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "        }\n",
+    "    }))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA+8AAAPYCAYAAACrBcgwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdeZydZX3//9d7skx2QpYJCUkgLEIihgjTEhBFBasWZFF+yNcqQpVIXVBsVaxa6WKLim1FKiViBYoLSkEiAoIB0VJBJ2EggbAEQkgyQxYgC1kmy3x+f5x7wmEyyzkz95n7LO/n43Eec+773Pd1f+4h4ZH3ua77uhQRmJmZmZmZmVn5qsu6ADMzMzMzMzPrmcO7mZmZmZmZWZlzeDczMzMzMzMrcw7vZmZmZmZmZmXO4d3MzMzMzMyszDm8m5mZmZmZmZU5h3czMzMzMzOzMufwnjJJl0n6m+T9+ZIuy3t/VQmv+xlJI0rVvpmZmZmZmWXH4T1FkgZnePnPAA7vZmZmZmZmVcjhvUCSDpa0NG/7b5Je9t9I+ndJTcCne2lmWnL805K+mtfWZyUtTV6f6Wm/pJGSfinpkWT/+yVdDEwB7pN0X7p3bmZmZmZmZlnLsqe4mgyNiEbIDZvv4bg/BY4CtgF/lPRLIIALgOMAAQ9Jup/cFytd7T8EaImIU5Pr7RcRmyR9FnhbRGwoxQ2amZmZmZlZdhze03FTgcfdExEvAki6BTiRXHi/NSK25u1/M7nA3tX+u4BvSfo6cHtE/C7VOzEzMzMzM7Oy42HzhdvNa39fw/Leby2wjehlu/cGIp4CjgGWAP8k6e+KbcPMzMzMzMwqi8N74dYCDZLGS6oHTutDG++QNE7ScOBM4AHgd8CZkkZIGgmclezrcr+kKcC2iLgR+Ca5IA+wBRjdnxs0MzMzMzOz8uRh8wWKiF2S/gH4A7AGeKIPzfwB+B9gKnBjRDQBSLou+Qzg2oh4uLv9kt4JfFNSO7AL+Kvk8/nAXZJaIuJtfajNzMzMzMzMypQiih65bQWSdD5wcERclnEpZmZmZmZmVsE8bN7MzMzMzMyszHnYfGk1A89lXYSZmZmZmZlVtproeZc0TdJ9kh6X9JikT5foOoMkPSzpdoCIaI6I36TU9lhJN0t6QtIyScen0W7S9iXJ72WppB9LGtb7WWZmZmZmZjZQaiK8k1vm7a8jYhYwF/iEpFkluM6ngWUlaBfg28BdEXEkcHRa15F0IHAx0BgRRwGDgHPTaNvMzMzMzMzSURPhPSJaI2Jx8n4LueB7YJrXkDQVOBW4Ns12k7b3A94CfB8gInZGxMYULzEYGC5pMDACaEmxbTMzMzMzM+unmgjv+SQdDLwReCjlpv8d+DzQnnK7ADOA9cAPkmH51yZrv/dbRKwBrgCeB1qBTRFxdxptm5mZmZmZWTpqKrxLGkVunfXPRMTmFNs9DVgXEYvSarOTwcAxwNUR8UZgK3BpGg1L2h84g9wXBFOAkZI+mEbbZmZmZmZmlo6aCe+ShpAL7j+MiFtSbv5NwOmSngN+Arxd0o0ptr8aWB0RHaMFbiYX5tNwCrAiItZHxC7gFuCElNo2MzMzMzOzFNREeJckcs+LL4uIf027/Yj4YkRMjYiDyU32dm9EpNZ7HREvAKskHZHsOhl4PKXmnwfmShqR/J5OpnST7pmZmZmZmVkf1Mo6728CPgQskdSc7PvbiLgjw5qK9Sngh5KGAs8CF6TRaEQ8JOlmYDG5WfkfBuan0baZmZmZmZmlQxGRdQ1mZmZmZmZm1oOaGDZvZmZmZmZmVskc3s3MzMzMzMzKnMO7mZmZmZmZWZlzeDczMzMzMzMrcw7vZmZmZmZmZmWupsK7pHluP7v2zczMzMzMrG9qKrwDpQ6nbt/MzMzMzMxSV2vh3czMzMzMzKziKCKyrmGvCRMmxMEHH1yy9tevX8/EiRPdPkBLC0yZUrr2u7Bo0aINEVG6C5iZmZmZmVWpwVkXkO/ggw+mqakp6zJqg5QL8AN6Sa0c0AuamZmZmZlVCQ+br1WTJ2ddgZmZmZmZmRXI4b1WDXCvu5mZmZmZmfWdw3utuuyyrCswMzMzMzOzAjm816q///usKzAzMzMzM7MCObybmZmZmZmZlTmHdzMzMzMzM7My5/Beq7wkn5mZmZmZWcVweDczMzMzMzMrcw7vtaqxMesKzMzMzMzMrEAO72ZmZmZmZmZlzuHdzMzMzMzMrMw5vNeqr3416woqkqRJkr4v6c5ke5akj2Rdl5mZmZmZVTeH91p12WVZV1CprgN+BUxJtp8CPpNZNWZmZmZmVhMc3mvVlCm9H2NdmRARPwXaASJiN7An25LMzMzMzKzaObzXqtbWrCuoVFsljQcCQNJcYFO2JZmZmZmZWbUbnHUBZhXms8AC4FBJDwATgbOzLcnMzMzMzKqde95r1THHZF1BUSSNk3SPpKeTn/t3ccxBkhZLapb0mKSL8j47VtISScslXSlJhbabLyIWAycBJwAfA14fEY+me7dmZmZmZmav5fBeqxYtyrqCYl0KLIyIw4GFyXZnrcDxETEHOA64VFLHw/1XAxcChyevdxXR7l6SPgGMiojHImIpMErSx/t3a2ZmZmZmZj1zeK9V8+ZlXUGxzgCuT95fD5zZ+YCI2BkRbclmPcmfb0mTgTER8WBEBHBD3vm9ttvJhRGxMe+aL5P7UsDMzMzMzKxkHN5r1fe+l3UFxZoUER2z7L0ATOrqIEnTJD0KrAK+HhEtwIHA6rzDVif7Cm43z6COIffJ9QYBQ4u6EzMzMzMzsyJlPmGdpHnAPIDp06dnXI2V2ARJTXnb8yNifseGpF8DB3Rx3pfyNyIiJEVXF4iIVcDsZLj8zyXdXGhxPbWb5y7gJknXJNsfS/aZmZmZmZmVTObhPQlv8wEaGxt7C05W2TZERGN3H0bEKd19JmmtpMkR0ZoMg1/X04UiokXSUuDNwAPA1LyPpwJrkvdFtQt8gVxg/6tk+x7g2l7OMTMzMzMz6xcPm69Va9b0fkx5WQB8OHn/YeC2zgdImippePJ+f+BE4MlkWPxmSXOTIe/n5Z3fa7v5IqI9Iq6OiLOT1zURsae/N2dmZmZmZtYTh/daVXmzzV8OvEPS08ApyTaSGiV19HzPBB6S9AhwP3BFRCxJPvs4uR7y5cAzwJ09tdsdSW9KlpR7StKzklZIeja92zQzMzMzM9uXcpNvl4fGxsZoamrq/UDrPwkG+L+9pEU9DZuvBJKeAC4BFgF7e9wj4sXMijIzMzMzs6qX+TPvZhVmU0Tc2fthZmZmZmZm6XF4NyvOfZK+CdwCdKwpT0Qszq4kMzMzMzOrdg7vteqaa3o/xrpyXPIzf/h/AG/PoBYzMzMzM6sRDu+1at68rCuoSBHxtqxrMDMzMzOz2uPZ5muVlHUFFUnSJEnfl3Rnsj1L0keyrsvMzMzMzKqbw7tZca4DfgVMSbafAj6TWTVmZmZmZlYTHN7NijMhIn4KtANExG7ylowzMzMzMzMrBYf3WnXaaVlXUKm2ShpPbpI6JM0FNmVbkpmZmZmZVTtPWFerfvGLrCuoVJ8FFgCHSnoAmAicnW1JZmZmZmZW7Rzea9V73uMA3wcRsVjSScARgIAnI2JXxmWZmZmZmVmVc3ivVbffnnUFFUXSe7v56HWSiIhbBrQgMzMzMzOrKQ7vZoV5T/KzATgBuDfZfhvwf4DDu5mZmZmZlYzDu1kBIuICAEl3A7MiojXZnkxu+TgzMzMzM7OS8WzztSoi6woq1bSO4J5YC0zPqhgzMzMzM6sNDu+1av78rCuoVAsl/UrS+ZLOB34J/DrjmszMzMzMrMopyqgHtrGxMZqamrIuozZIA977LmlRRDQO6EVLIJm87s3J5m8j4tYs6zEzMzMzs+rnnnerCJLGSbpH0tPJz/27OOYgSYslNUt6TNJFeZ8dK2mJpOWSrpSkZP9lktYk5zRL+vPeaomIWyLikuTl4G5mZmZmZiXn8G6V4lJgYUQcDixMtjtrBY6PiDnAccClkqYkn10NXAgcnrzelXfev0XEnOR1R09FSHpv8gXCJkmbJW2RtLmf92ZmZmZmZtYjh/datWBB1hUU6wzg+uT99cCZnQ+IiJ0R0ZZs1pP8+U5mhB8TEQ9G7jmRG7o6v0DfAE6PiP0iYkxEjI6IMX1sy8zMzMzMrCAO77Xq2GOzrqBYk/JmeX8BmNTVQZKmSXoUWAV8PSJagAOB1XmHrU72dfikpEcl/VdXw/E7WRsRy/p2C2ZmZmZmZn2T+TrvkuYB8wCmT/eKWwPmwAOzWC5ugqT8GQnnR8Teae8l/Ro4oIvzvpS/EREhqcviI2IVMDsZLv9zSTf3UtPVwD8Ckfz8FvCXPRzfJOkm4OdARy8/EXFLL9cxMzMzMzPrs8zDexLe5kNutvmMy7HS2tDTbPMRcUp3n0laK2lyRLQmw+DX9XShiGiRtJTcrPAPAFPzPp4KrEmOW5t3je8Bt/dyD2OAbcCf5V8OcHg3MzMzM7OSyTy8mxVoAfBh4PLk522dD5A0FXgxIrYnw99PJDcZXWsyudxc4CHgPOA7yTmT84bjnwUs7amIiLggrRsyMzMzMzMrlJ95r1UXXph1BcW6HHiHpKeBU5JtJDVKujY5ZibwkKRHgPuBKyJiSfLZx4FrgeXAM8Cdyf5vJEvIPQq8DbikpyIkvU7SwqRXH0mzJX05tbs0MzMzMzPrgmLgn3vuVmNjYzQ1NfV+oFUkSYt6GjZfCSTdD3wOuCYi3pjsWxoRR2VbmZmZmZmZVTP3vNeqypttvlyMiIg/dNq3O5NKzMzMzMysZji816rFi7OuoFJtkHQouUnqkHQ20NrzKWZmZmZmZv3jCevMivMJcqsjHClpDbAC+ItsSzIzMzMzs2rn8F6rJk/OuoKKFBHPAqdIGgnURcSWrGsyMzMzM7Pq52HztaqlJesKKpKk8ZKuBH4H/EbStyWNz7ouMzMzMzOrbg7vteqyy7KuoFL9BFgPvA84O3l/U6YVmZmZmZlZ1fNScbVKggH+b18lS8XtsyycpCUR8YasajIzMzMzs+rnnnez4twt6VxJdcnrHOBXWRdlZmZmZmbVzeHdrDgXAj8CdgJt5IbRf0zSFkmbM63MzMzMzMyqlmebr1V+PKFPImJ01jWYmZmZmVntcc+7WRGU80FJX0m2p0n606zrMjMzMzOz6ubwXqsaK3reuCx9Fzge+ECy/QrwH9mVY2ZmZmZmtcDD5s2Kc1xEHCPpYYCIeFnS0KyLMjMzMzOz6uaed7Pi7JI0CAgASROB9mxLMjMzMzOzaufwXqu++tWsK6hUVwK3Ag2Svgb8L/DP2ZZkZmZmZmbVzuG9Vl12WdYVFEXSOEn3SHo6+bl/F8ccJGmxpGZJj0m6KO+zr0laJemVTufUS7pJ0nJJD0k6uKc6IuKHwOeBfwFagTMj4mdp3KOZmZmZmVl3HN5r1ZQpWVdQrEuBhRFxOLAw2e6sFTg+IuYAxwGXSuq40V8AXc0K/xHg5Yg4DPg34OtdXTz58mCcpHHAOuDH5NZ7X5vsMzMzMzMzKxlPWFerWluzrqBYZwBvTd5fD/wG+EL+ARGxM2+znrwvpyLiQQBJXbV7WfL+ZuAqSYqI6HTcInLPuQuYDrycvB8LPA/MKPqOzMzMzMzMCuSed6sUkyKi4xuHF4BJXR2UrLv+KLAK+HpEtPTS7oHJsUTEbmATML7zQRExIyIOAX4NvCciJkTEeOA04O6+3JCZmZmZmVmhMu95lzQPmAcwffr0jKupIccck8VVJ0hqytueHxHzOzYk/Ro4oIvzvpS/EREhqXPPeMdnq4DZyXD5n0u6OSLWplB7h7kRcWHe9e6U9I0U2zczMzMzM9tH5uE9CW/zARobG7sMZFYCixZlcdUNEdHY3YcRcUp3n0laK2lyRLRKmkzuufNuRUSLpKXAm8kNh+/OGmAasFrSYGA/4MUejm+R9GXgxmT7L4DeevfNzMzMzMz6xcPma9W8eVlXUKwFwIeT9x8Gbut8gKSpkoYn7/cHTgSeLKLds4F7u3jePd//AyaSWy7uluT9/yvwHszMzMzMzPpEPeeUgdXY2BhNTU29H2j9J8EA/7eXtKinnvdezh0P/JTcZHErgXMi4iVJjcBFEfFRSe8AvsWrE8td1TEsPxna/gFgCrme8msj4jJJw4D/Bt4IvAScGxHP9utGzczMzMzMUubwXqsqLLybmZmZmZnVMg+bNzMzMzMzMytzDu+1as2arCswMzMzMzOzAmU+27xlZNEimDIl6yoqhqTvkHuWvksRcfEAlmNmZmZmZjXG4b1WnX76gD/zXuE8GYOZmZmZmWXG4d2sABFxfdY1mJmZmZlZ7XJ4NyuCpInAF4BZwLCO/RHx9syKMjMzMzOzqucJ62rVNddkXUGl+iGwDJgB/D3wHPDHLAsyMzMzM7Pq5/Beq+bNy7qCSjU+Ir4P7IqI+yPiLwH3upuZmZmZWUl52HytkjxhXd/sSn62SjoVaAHGZViPmZmZmZnVAId3s+L8k6T9gL8GvgOMAS7JtiQzMzMzM6t2Du9mRYiI25O3m4C3ZVmLmZmZmZnVDof3WnXaaVlXUFEkfT4iviHpO8A+zxtExMUZlGVmZmZmZjWirML7+i1tvLx1J/uPHJp1KdXvF7/IuoJKsyz52ZRpFWZmZmZmVpPKarb5Fzbv4PjLF/K3ty5h+bpXsi6nur3nPVlXUFEiouPbjm0RcX3+C9iWZW1mZmZmZlb9FGU04/hRRx8Tp/3dddzy8Bp27m7npNdN5II3HcxbDp9IXZ2yLq+6ZDDbvKRFEdE4oBdNmaTFEXFMb/vMzMzMzMzSVFbhvbGxMZqamnjxlTZ++NDz/PeDK1m/pY1DJo7kvLkH8b5jpzJ62JCsy6wODu9FkfRu4M+Bc4Cb8j4aA8yKiD/NpDAzMzMzM6sJZTVsvsP4UfVcfPLhPPCFt/Ptc+cwetgQLvvF48z954X83W1LeWrtlqxLtAEmaZykeyQ9nfzcv4tjDpK0WFKzpMckXZT32dckrZL0Sqdzzpe0PjmnWdJHuymhhdzz7juARXmvBcA707pPMzMzMzOzrpRlz3tXmldt5IbfP8ftj7Syc087x80Yx4eOP4g/m3UAQweX5XcQ1kl/et4lfQN4KSIul3QpsH9EfKHTMUPJ/ZlukzQKWAqcEBEtkuYCK4GnI2JU3jnnA40R8ckCahgE/HdEfKAv92BmZmZmZtZXFZN650wby7+eM4fff/HtXPruI2nZtJ1P/uhhTrh8IV+/6wmef9FzhhVl/vysKyjWGcD1yfvrgTM7HxAROyOiLdmsJ+/Pd0Q8GBGt/SkgIvYA05IvCczMzMzMzAZMxfS8d9beHtz/9Hp+9NDzLFy2lgBOPGwC7/+Tabxj1iTqBw8qbbGVrsKeeZe0MSLGJu8FvNyx3em4acAvgcOAz0XEf3T6/JUuet7/BVgPPAVcEhGreqjjBmAmueHyWzv2R8S/9uW+zMzMzMzMCpF5eJc0D5gHMH369GNXrlxZdBsvbNrBTX9cxU+bVrFm43bGjRzKWW88kHMap3HEAaPTLrk6ZBPeVwIb8nbNj4j5eZ//Gjigi1O/BFyfH9YlvRwR+zz3nvf5FODnwHsiYm3e/s7hfTzwSjLU/mPA+yPi7T20+9Wu9kfE33d3jpmZmZmZWX9lHt7zFdPz3pU97cHvnl7PT/6wioVPrGXXnuDoqftx9rFTec/RUxg7wqOd96q8nvcngbdGRKukycBvIuKIXs75L+COiLg5b99rwnun4weRe65+v77UaGZmZmZmViqDsy4gTYPqxFuPaOCtRzTw4itt/Ly5hZ81reIrtz3GP96+jFNmNfDeN07lpCMmMmRQxTzuXxoLFmRdQbEWAB8GLk9+3tb5AElTgRcjYnsyG/2JwL/11KikyXnPwp8OLOvl+InA54HXA8M69vfUW29mZmZmZtZfVRXe840fVc9HTpzBX77pYB5r2czNi1az4JEW7ljyAuNGDuW02ZM5840H8sZpY8k9Ql1jjj026wqKdTnwU0kfITdr/DkAkhqBiyLio+SeRf+WpAAEXBERS5LjvgF8ABghaTVwbURcBlws6XRgN/AScH4vdfyQ3DrvpwEXkfsiYX2K92lmZmZmZraPqho235udu9v57VPrubV5Dfc8vpadu9uZPm4Epx89hTPmTOHwSTX0fHyFDZsvF8k9HCvp0YiYnez7Y0T8Sda1mZmZmZlZ9aranveuDB1cxymzJnHKrEls3rGLXy19gQWPtPDd3yznqvuWc8Sk0Zw6ezKnzZ7MIRO7fCzabFfys1XSqUALMC7DeszMzMzMrAbUVM97d9Zt2cGdS17g9kdb+ONzLwNw5AGjefdRk/nzNxzAYQ2jqm9ovXve+0TSacDvgGnAd4AxwN9HRMVNImBmZmZmZpXD4b2T1k3buWvpC9y55AX+uPIlIuCQCSN551EH8M7XH8DsA/ejrq4Kgvy8eTB/fu/HpaiSw7ukScBVwFrgeeC4iHifpDnAlIi4IznufKAxIj7ZQ1sHA9dFxFuT97dHxFElqvtM4KmIeLwU7ZuZmZmZ2cCoqWHzhZi833AueNMMLnjTDNZt3sGvHl/Lr5a+wPd++yxX/+YZGkbXc/LMSZwys4ETDp3A8KGDsi65bwY4uFeBa4E3A18A3k1u0jyAOUAjcEdGdfXmTOB2wOHdzMzMzKyCuee9QBu37eTeJ9axcNk6fvPkOrbu3EP94DpOOHQ8bz+ygZNe18D08SOyLrNwxx4LixYN6CUrvOd9I1APPAksB04F9kveDwfWAP+SvG+MiE8my8r9JzA9aeYzEfFAFz3vdwGLgGOAx4DzImKbpJOBK8h9yfZH4K8ioq2H/ZeTW+5uN3A3cAu54L4peb0vIp4pzW/IzMzMzMxKyeG9D9p27+GhZ1/i3ifWcd+T61j54jYAZkwYyVsOn8CJh09k7iHjGD1sSMaV9sDPvBdF0lKAiDgqCdzLImJ452Hy+duSfgR8NyL+V9J04FcRMbOL8L4CODEJ9v9Frpf8KuBp4OSIeErSDcBicl8GdLX/v4H/A46MiJA0NiI2SrqO3LD8m0v9OzIzMzMzs9LxsPk+qB88iLe8biJved1EvhqzWLFhK799aj33P7Wem5pWcf3vVzK4TsyZNpYTDh3P3EPHc8z0/Rk2pEKH2Bvk1pBH0magDhiWvB8CDAK6esb9FGBW3mSHYyR1tYzBqoh4IHl/I3AxcA+wIiKeSvZfD3wCuK+b/VcBO4DvS7qdXI+7mZmZmZlVCYf3fpLEIRNHccjEUZz/phns2LWHxc+/zAPLN/C/T2/gqvuWc+W9yxk6uI4508bypweP409mjOOY6WOz7ZmfPDm7a1emQ0kmlsufZK6jp72bc+qAuRGxI3+npAmdjus8BKLoIRERsVvSnwInA2eT+zLh7cW2Y2ZmZmZm5cnhPWXDhgzihEMncMKhE/jcO2Hzjl38ccVL/P6ZF/njcy9x9f3PcNV9y5HgiEmjOfag/ZkzbSxzpo3lkImjGDRQM9m3tAzMdarHFmB0Efsh99z5p4BvAkiaExHNXRw3XdLxEfF74APA/5J7tv5gSYdFxHLgQ8D93e1PevRHRMQdkh4Ani2gPjMzMzMzqxAO7yU2ZtgQTp45iZNnTgJga9tuFj//MotW5l4Lmlv44UPPAzCqfjCzpozh9VPGcNSU/Zg5eQyHNoykfnAJhttfdlnuNUA2bd81YNcqhYh4UdIDybPvy/I+ug+4VFIzuQnr8l0M/IekR8n9XfstcFEXzT8JfCLveferI2KHpAuAn0nqmJjuP5OJ6fbZD4wDbpM0DBDw2aTtnwDfk3QxcLYnrDMzMzMzq0yesC5j7e3Bsxte4ZFVm3hk9UaWrtnE462b2bGrHYDBdWLGhJG8btJoDm0YxWENozhkwkgOGj+if8PuSzRhXdvuPTy3YRtPr9vC02tfYVnrZh5v3czql7ez8uunVeyEdWnKn7Au20rMzMzMzKxSuOc9Y3V14rCG0RzWMJr3HTsVgD3twbPrX2HZC1t48oXNPNG6haUtm7hzaSvteXl7wqihTN1/BAfuP5ypY4czeb9hNIwZxqQx9UwcNYz9Rw5hVP1g8iZM65f29mDT9l1seKWN9VvaaN20g9ZN21mzcQfPv7SV5zZso2XT9r3fCUi5GfjnTBvLB46bzie+nkoZZmZmZmZmNcfhvQwNqhOHTxrN4ZNGw9FT9u7fsWsPKzZs5bkNW1n50jae27CV1S9v5/GWzdzz+Fp27m7fp60hg8R+w4cyZthgRg0bzMihgxk2pI4fABf/+GEG1QkJhGiPYHd7sHtPO9t37WH7zj1s37WHzdt3sXnHbjZt38We9n1768eNHMr0cSNoPHh/Dhp3IIc2jOLwhtEcMnHka2bY/0RJflsVaSNwXdZFmJmZmZlZ5fCw+SrR3h68vG0naze3sW7LDtZvaePlbTt5aesuNm7bySttu3mlbTdb23azY1c701c8zmOTD6c92BvIB9WJwXViUJ0YPnQQw4YMYviQQYwZPoT9hg9mzLAhTBhVz4TR9UwYNZTJ++V6+wtdAq+S13k3MzMzMzPLknveq0RdnRg/qp7xo+qZxZjeT1g0HI49tvSFlRlJ04AbgEnklmSbHxHfLsF1BgFNwJqIOC3ltscC1wJHkbuHv0xmqk+r/UuAjyZtLwEu6LzcnZmZmZmZDay6rAuwjDTWbAf4buCvI2IWMJfcLO+zSnCdT/PaWenT9G3grog4Ejg6zetIOpDcLPmNEXEUMAg4N632zczMzMysbxzeraZERGtELE7ebyEXfA9M8xqSpgKnkusdT5Wk/YC3AN8HiIidEbEx5csMBoYnS9GNAFpSbt/MzMzMzIrk8G41K1my7Y3AQyk3/e/A54F9ZxDsvxnAeuAHkh6WdK2kkWk1HhFrgCuA54FWYFNE3J1W+2ZmZmZm1jdl9cz7okWLNkhamXUdNSOlJeSKcNBAX7A7kkYB/wN8JiI2p9juacC6iFgk6a1ptZtnMHAM8KmIeEjSt4FLga+k0bik/YEzyH1JsBH4maQPRsSNabRvZmZmZmZ9U4sDG08AACAASURBVFbhPSImZl2DVT9JQ8gF9x9GxC0pN/8m4HRJfw4MA8ZIujEiPphS+6uB1RHRMVrgZnLhPS2nACsiYj2ApFuAEwCHdzMzMzOzDHnYvNUUSSL3vPiyiPjXtNuPiC9GxNSIOJjcRG/3phjciYgXgFWSjkh2nQw8nlb75IbLz5U0IvldnUzpJt4zMzMzM7MClVXPu9kAeBPwIWCJpOZk399GxB0Z1lSsTwE/lDQUeBa4IK2Gk6H4NwOLyc3M/zAwP632zczMzMysbxQRWddgZmZmZmZmZj3wsHkzMzMzMzOzMufwbmZmZmZmZlbmHN7NzMzMzMzMypzDu5mZmZmZmVmZc3i3miVpXqW2X8m1m5mZmZlZ8RzerZaVOqCWsv1Krt3MzMzMzIrk8G5mZmZmZmZW5spqnXdJATB60HiEXv1g6JA+t9k+tP/fT7QPUe8HpaB98IBcpl/qdvf93G0bVm+IiImFHj9hxIg4eNasvl+wF+vXr2fixILLKav2K7l2gEWLFhX1Z8HMzMzMrNaVXVw8YMgMjh518mt3Tp/cp7a2TxudQkXwygGl/zVtbyj5JVIzfF3fzlt87WdXFnP8wdu309TU1LeLWVmTVNSfBTMzMzOzWldW4X30oPE1F9wrKbR36Ki5ryHezMzMzMzMilNW4f01Q+XLQCmDeyWG9s5KHuKH9P1xCTMzMzMzs2pS3hPWZdjr7uBeuO0NJbqn2bNL0KiZmZmZmVnlKd/wXubBfc+utqLbLVnITUn7zuLvKV/q99bSknKDZmZmZmZmlamshs2Xg0KC+7MLb2DjimbGzpjDISefV1C75RzaAVbfegNbljUzeuYcpp5V2D11JdWh9K2tKTRiZmZmZmZW+cqz5z2jXvdCe9w3rmgGYOOK5l574Mutt72r3vX2nW1sWZa7py3LmvvdAw/ldc9mZmZmZmaVrjzDex8MRHAHGDSknrEz5gAwdsYcBg2p776mMguwq2+9gSev+CKrb73hNfvrhtYzembunkbPnEPd0O7vqRjldv9mZmZmZmaVqvyGzfex170/ip2c7pCTz2PPrvdXVHDfp3f91Pe/JqRPPeu8ffaloV/D6GfOTLUWMzMzMzOzSlVePe9D+7Y0WFpruhejkoI7FNa7nnZwz1eOvxMzMzMzM7NKUX4970UaqOHyhSj3gFqq3vWSWbYs6wrMzMzMzMzKQnn1vA+wWgruHSomuJuZmZmZmdleFR3e+9PrXovB3czSI2mSpO9LujPZniXpI1nXZWZmZmbVqWKHzTu4v9aOhujzucPWKcVKUjR54CcvNCvCdcAPgC8l208BNwHfz6ogMzMzM6teFRvey0GWwb0/Yb23tsomzE+ZknUFZj2ZEBE/lfRFgIjYLWlP1kWZmZmZWXWqyPBeDr3uWQT3NAN7odfJNMg/+mh21zbr3VZJ44EAkDQX2JRtSWZmZmZWrSoyvPdVJQb3gQrshVx/wIP8rl0Dez2z4nwWWAAcKukBYCJwdrYlmZmZmVm1qrgJ6/ra615pwX1HQ2Qe3Dsrx5qs9kgaJ+keSU8nP/fv4piDJC2W1CzpMUkX5X12rKQlkpZLulKSCm03X0QsBk4CTgA+Brw+IjxcxMzMzMxKoqLCe3/XdO/39QcguFdCQB6wGkeMKP01rBJdCiyMiMOBhcl2Z63A8RExBzgOuFRSxyQKVwMXAocnr3cV0e5ekj4BjIqIxyJiKTBK0sf7d2tmZmZmZl0reXiXdEnS87VU0o8lDSv1NTtLo9e91MG9EkJ7Z4XW3L6zrW8XmDmzb+dZtTsDuD55fz1wZucDImJnRHT8wasn+X+dpMnAmIh4MCICuCHv/F7b7eTCiNiYd82XyX0pYGZmZmaWupI+8y7pQOBiYFZEbJf0U+BcckssFSXL4fIDEdwr2Y6G6PZ5+NW33sCWZc2Mnjmn+IZXruxnZValJkVEa/L+BWBSVwdJmgb8EjgM+FxEtEhqBFbnHbYaOLCYdvMMkqTkSwAkDQKGFn03ZmZmZmYFGIgJ6wYDwyXtAkYALQNwzdSUMrhXemjP13Ev+SG+fWcbW5Y1A3T87HWkh6R5wDyAY9Mv08rHBElNedvzI2J+x4akXwMHdHHel/I3IiIkdfkXKSJWAbOT4fI/l3RzocX11G6eu4CbJF2TbH8s2WdmZmZmlrqShveIWCPpCuB5YDtwd0TcXWw7WfW6lyq4V1No7yy/F75uaD2jZ87Z2/O+ZVlze2/nJwFuPkBj7+HJKteGiGjs7sOIOKW7zyStlTQ5IlqTYfDrerpQ0uO+FHgz8AAwNe/jqcCa5H1R7QJfIBfY/yrZvge4tpdzzMzMzMz6pKTPvCezNZ8BzACmACMlfbDTMfMkNUlq2rl7W2rXTmt2+bRVc3DvkP8s/NSzzuOIv/kXpp51XsZVWRVZAHw4ef9h4LbOB0iaKml48n5/4ETgyWRY/GZJc5NZ5s/LO7/XdvNFRHtEXB0RZyevayJiT39vzszMzMysK6WesO4UYEVErI+IXcAt5JZV2isi5kdEY0Q0Dh287+ziWc0wX4pe91oI7vk67rduaH3fGpg9O8VqrIpcDrxD0tPk/h9zOYCkRkkdPd8zgYckPQLcD1wREUuSzz5Orod8OfAMcGdP7XZH0puSJeWekvSspBWSnk3vNs3MzMzMXlXq7unngbmSRpAbNn8y0NTzKa+qluHytRba8/U0mV2vtqU3EsOqR0S8SO7/JZ33NwEfTd7fA3T57U9y3FGFttuD7wOXAIsA97ibmZmZWUmV+pn3h5JJohYDu4GHSZ5nLhUH9/LT59/B8uXpFmKWrk0RcWfvh5mZmZmZ9V/JHwyPiK8CXy32vCyGyzu4m1kR7pP0TXKPA3WsKU9ELM6uJDMzMzOrVuU5q1sf9afX3cHdzIp0XPIzf9b8AN6eQS1mZmZmVuXKMrz3pde9nGaXd3BPyfTpWVdg1q2IeFvWNZiZmZlZ7Sj1bPMVIc1e92377UivsVo3cWLWFZh1S9IkSd+XdGeyPUvSR7Kuy8zMzMyqU/l0VycGutc9zeD+/B3Xs7X5EUbOOZqG8zNa17yhj18erBuWbh1pWLQo6wrMenId8APgS8n2U8BN5GahNzMzMzNLVVmF9/ahAzsQIK3gvqMhaG9rY2vzIwBsbX6E9rY26ur7uL55Mfoa1ntrpxzDvFl5mRARP5X0RYCI2C3JS8aZmZmZWUlU/LD5rJ9173i+va6+nhGz3wDAyDlHlza4N+x49VXJ1zCrbFsljSc3SR2S5gKbsi3JzMzMzKpVWfW8Fyvr4fL5E9Otu+4Gtj26hBFvOKp0Q+azCtL51x3IHvn99hu4a5kV77PAAuBQSQ8AE4Gzsy3JzMzMzKpVQelX0oyIWNHbvkqR9rJw+UPmty1Zmu6Q+XLr+e6oZyBC/GGHlf4aZn0UEYslnQQcAQh4MiJ2ZVyWmZmZmVWpQruu/wc4ptO+m4Fj0y2ncH3tde9rcG/f2Ubd0FcDeX6ve119PSPnHL13srpUgnu5hfbOBiLEL19eurbN+kjSe7v56HWSiIhbBrQgMzMzM6sJPSZgSUcCrwf26/QP1jFAzcxotvrWG9iyrJnRM+cw9azzulzHveH889LrcS/34J6vlCF+kx8ftrL0nuRnA3ACcG+y/Tbg/wCHdzMzMzNLXW/d10cApwFjefUfrABbgAtLVVRvBrLXvX1nG1uWNQOwZVkz284/hzq6Duj9Du6VFNo7a9jhGeqtJkTEBQCS7gZmRURrsj2Z3PJxZmZmZmap6zEFR8RtwG2Sjo+I3w9QTT0a6OHydUPrGT1zDluWNZduFvlKDu35BvJ5eLPsTesI7om1wPSsijEzMzOz6lZoEj5L0mPAduAuYDZwSUTcWLLKysjUs87L9bg7uBcmrV74YzObUsGsEAsl/Qr4cbL9fuDXGdZjZmZmZlWs0HXe/ywiNpMbQv8ccBjwuVIV1ZU9u9sGvNe9w46GSCW4t7e1vXZHNQb3DmmsEb9+fTq1mJVARHwSuAY4OnnNj4hPZVuVmZmZmVWrQtPwkOTnqcDPImKTpBKVtK9li25kfeujjJ0xh0NOLm4N9TSCexrWXXfD3tnoGz5/TiptVoT+9MI//3y6tVhVkDQOuAk4mNyXiedExMudjjkIuJXcF5RDgO9ExH8mnx1L7tn04cAdwKcjIiRdRm4uj45vjf42Iu7oqZZkZnlPUGdmZmZmJVdoz/svJD1Bbmm4hZImAgV1q0oaK+lmSU9IWibp+N7O2bO77TXv17c+CsDGFc3s2dXW3WmpSyu4568Dv7X5Edp3DNw9lIU0euHNXnUpsDAiDgcWJtudtQLHR8Qc4DjgUklTks+uJhfSD09e78o7798iYk7y6jG4S3qvpKclbZK0WdIWSZv7eW9mZmZmZl0qKLxHxKXklkRqjIhdwFbgjAKv8W3grog4ktzQ0mU9Hbxs0Y08cNdXWLYo9zj9oMH1TJw8G4CxM+YwaEjhw9f72+sOXQx174OOdeABRs59A3XDSvDsvFntOAO4Pnl/PXBm5wMiYmdEdPzlrSf5f10yI/yYiHgwIgK4oavzC/QN4PSI2C8ixkTE6IgY08e2zMzMzMx6VNCweUlDgA8Cb0mGy98P/GcB5+0HvAU4H3L/oAZ2dnd8ROztZV/f+iiv293GoMH1TDv1fKbsahvQ4L6jIV471P384obrd9bw+XNo33FGRQf39h1tA1v/YYcN3LWskkzKm+X9BWBSVwdJmgb8kmSOjohokdQIrM47bDVwYN72JyWdBzQBf915OH4nayOixy8jzczMzMzSUuiw+avJDZn/bvI6JtnXmxnknh/9gaSHJV0raWR3B0va28s+cfJsBg1+NSgWE9z7a0dD7DvUva898HlDxis5uK+78ies/Mt/YN2VPynpdSTNk9Qkqeml7dtLei3L1ISO/87Ja17+h5J+LWlpF6/XjPhJes+7fL4lIlZFxGxy4f3DkroM+XmuBg4F5pAbdv+tXo5vknSTpP+XDKF/r6T39nKOmZmZmVmfFDph3Z9ExNF52/dKeqTA9o8BPhURD0n6NrnnU7/ScUDyj/Z5APXDx3LMmz+9t8cdel/XfU8XPfL96XXveM69Y6h7R897n2abr5LnvNt3tLH1wSUAbH1wCe3zzirZFxERMR+YD9AopTPpgJWjDRHR2N2HEXFKd59JWitpckS0JsPg1/V0oaTHfSnwZuABYGrex1OBNclxa/Ou8T3g9l7uYQywDfiz/MvhCezMzMzMrAQKDe97JB0aEc8ASDoE2FPAeauB1RHxULJ9M50ml8oPa6PHTg2g4OD+7MIb2LiiuU+z0Bei4fzzaG9rq+ngDrkRAyPnvoGtDy7xM/tWDhYAHwYuT37e1vkASVOBFyNiu6T9gRPJTUbXmkwuNxd4CDgP+E5yzuS84fhnAUt7KiIiLkjrhszMzMzMelNoeP8ccJ+kZwEBBwG9/sM1Il6QtErSERHxJHAy8Hifq82zZ1cbG1c0Ax2z0L+fQUPqU+l1z1fpwX3KxI0FHdeyfmyPnzdcfG5Je9zNinA58FNJHwFWAucAJM+zXxQRHwVmAt9SbvSGgCsiYkly/sd5dam4O5MXwDckzSHXe/4c8LGeipD0OnJD7SdFxFGSZpObwO6f0rpRMzMzM7MOBYX3iFgo6XDgiGTXk3kzOffmU8APJQ0FnqWA0A+997oPGlLP2Blz9va8lyK490mGwb3QoF7IuV2F+QEP7hMmDOz1rCJExIvkvgjsvL8J+Gjy/h5gdjfnNwFHdbH/Q0WW8j1yX2xek5z/qKQfAQ7vZmZmZpa6Ymab/xi5meMBfiPpmmTZuB5FRDPQ7bOtnY4t5LC9Djn5vL097v1RycG9P4G9mHZ765nvLJWZ6Q86qH/nm5XWiIj4Q7ICR4fdWRVjZmZmZtWt0GHzVwNDyM00D/ChZN9H0yxm6+YWli26kWmnnl/wOR3BPY013ftlAIN7qQJ7IdcsJMSvu/Ine5+Pb7j43L5fdJlX4bKytkHSoSSz3Us6m9ws9WZmZmZmqSv1bPNFW9/66ICu6Z5Kr/sABfcsQnt3NeSH+Pxe9lRnpt+2rX/FmpXWJ8hNtnmkpDXACuAvsi3JzMzMzKpVqWebL1rH8+sDoVKCezmE9s46amr+yl2v6WX3zPRWKyLiWeAUSSOBuojYknVNZmZmZla9SjrbfLGGjz+w6CXf+trrXgnBvRxDe74923d22cue2sz0Q4akUKVZaUgaD3yV3DJ0Iel/gX9IJtQzMzMzM0tVXSEHRcRC4HDgYnKzxx8REfelXUyniZ/KW40Hd4BBw4cy/qTcAgTjTzqCqdO27/0slR732V1OFm5WLn4CrAfeB5ydvL8p04rMzMzMrGoVOtv8MHJrI59IbnKm30n6z4jIdEHzUve6t7e19W2d936ohNCe78gvn86ev97JoOFDgVz9xc5M362WlnTaMSuNyRHxj3nb/yTp/ZlVY2ZmZmZVraCed+AG4PXAd4Crkvf/XaqiSqnQ4L7uuhtY+YW/Zd11N+z7YYl63SstuHfoCO4dpkzcmM69tHribitrd0s6V1Jd8joH+FXWRZmZmZlZdSr0mfejImJW3vZ9kh4vRUGFKuXScO1tbWxtzk2mv7X5kdf2wJcguFdqaO9Nqr3wZuXnQuAzwI3kRiQNArZK+hgQETEmy+LMzMzMrLoU2vO+WNLcjg1JxwFNpSmpd6UeLl9XX8/IObmV8UbOOdrBvR9S64U3KzMRMToi6iJicEQMSd6PTl4O7mZmZmaWqh573iUtIdejNAT4P0nPJ9sHAU+Uqqg9Ra7zXohiZ5dvOP8897inaMrEjawo9qSZM0tRilkqlJth8y+AGRHxj5KmkXsO/g8Zl2ZmZmZmVai3YfOnDUgVeZ5deAMbVzQzdsacLpeNK+Vw+c4c3M2sB98F2oG3A/8IvAL8B/AnWRZlZmZmZtWpx/AeESsHqpDkemxc0QzAxhXN7Nn1/lR64FNZ0z0l5RLa92zfuc9Ec2Vn2bKsKzDryXERcYykhwEi4mVJZf6XyszMzMwqVW/D5u8jN0y+N9dFRBfTshdHEmNnzNnb8945uA9kr/teKfa6l0twf+KfFvDi/U8y/qQjOPLLpxd9fkUEf7PS2yVpEMn/IyVNJNcTb2ZmZmaWut6GzZ9fYDuppdJDTj4vtR536GevexUG9z3bd/Li/U8C8OL9T75mjfZC9Df4m1WRK4FbgQZJXwPOBr6cbUlmZmZmVq2KGjYvaUREbCttSXQZ3PvS6+7gvq9Bw4cy/qQj9gbwYoJ7f4N/0SZPLl3bZv0UET+UtAg4GRBwZkT4WQ8zMzMzK4mCloqTdEKyrvsTyfbRkr5b6EUkDZL0sKTb+1hnRWjf0bbPvnIK7h2O/PLpzF3w6aJ7zjuCP1B08O+TKVNK275VJEnjJN0j6enk5/5dHHOQpMWSmiU9JumivM++JmmVpFc6nVMv6SZJyyU9JOngHq4/TtI4YB3wY+BHwNpkn5mZmZlZ6nobNt/h34B3AgsAIuIRSW8p4jqfBpYBfVr7uBJ63ddd+RO2PriEkXPfQMPF5wLlEdxnj2sp+pxHX+o+NB/55dOL7nHv8zPyjz5a/DlWCy4FFkbE5ZIuTba/0OmYVuD4iGiTNApYKmlBRLQAvwCuAp7udM5HgJcj4jBJ5wJfB97fxfUXkXvOXcB04OXk/VjgeWBGGjdpZmZmZpav0PBORKzKLWu8155CzpM0FTgV+Brw2aKqy0Ifgnv7jja2PrgEgK0PLqF93llMnbY97coK0pew3lsbncN8X5+RL9quXcWfY7XgDOCtyfvrgd/QKbxHxM68zXryRhlFxIOQmyCzi3YvS97fDFwlSRHxmm8CI2JGcv73gFsj4o5k+93AmX27JTMzMzOznhUa3ldJOgEISUN4tSe9EP8OfB4Y3Yf6BrbXvY/PudcNq2fk3Dfs7Xkf6OCeRmAvtP2eeuU76/yMPAU+pmHWi0kR0Zq8fwGY1NVBkqYBvwQOAz6X9Lr35EBgFUBE7Ja0CRgPbOjm+LkRcWHHRkTcKekbhd+GmZmZmVnhCg3vFwHfJveP2zXA3cAnejtJ0mnAuohYJOmt3RwzD5gHMHTUPo+uFi2rNd0bLj53wHvcSx3ae7pmISG+8+R4HUG+J/l/Ho4e6uXoqtgESU152/MjYn7HhqRfAwd0cd6X8jciIiR1+Zc+IlYBsyVNAX4u6eaIWJtC7R1aJH0ZuDHZ/gtg4P9SmpmZmVlNUKcRoek2Lv0L8CFgNzCM3DPvt0TEB7s6fuTEaXHkma+OrN/eAO0726gbWviycQPd655voJ5xzyK0d+fhNRN6HUa/Z/tOnv7WXbx4/5NExD5jlbvT2NgYTU1NvR9oFUfSooho7OO5TwJvjYhWSZOB30REj89lSPov4I6IuDlv3ysRMSpv+1fAZRHxe0mDyfXqT+w8bD7v+HHAV4G3kHsG/rfAP0TES325LzMzMzOznvTY8y7pO+T+UdqliLi4p/Mj4ovAF5O23gr8TXfBvSurb72BLcuaGT1zDlPPOq/X46s9uJdTaAe4+9Lf8cw9zzPj7dOY8sVzezy2kF73faxc2fsxVosWAB8GLk9+3tb5gGSujRcjYnsyG/2J5CbeLKTd35Nbs/3e7oI7QBLSP92nOzAzMzMzK1JvzyA3kZtZubtXyWwd28aWZc0AbFnWTPvOfZdhKxdpB/c923e+Znv2uJayC+67tu3imXueB2DFvato+ecfd1tj/hJzRdnQ3aPGVuMuB94h6WnglGQbSY2Srk2OmQk8JOkR4H7giohYkhz3DUmrgRGSVku6LDnn+8B4ScvJTa556YDdkZmZmZlZLwoaNi/p/4uIn/W2r7/yh81vb3i15x3otfc9q173tIN7/uzs5/xrn0YVD5i7PvdbVty7au/2R393DkNGDOn2efgH3vHNhyPimELbb5SiqYSPdVh2+jNs3szMzMysFhU6+/cXC9yXio4Z5qec+uoSyz31vmc5XD5NnWdn37WtvJdKe9c338KMt00F4NB3TGfIiCFAjyMF2geuOjMzMzMzs+rR2zPv7wb+HDhQ0pV5H40hNwldSdUNrWf0zDl7n3svZuK6gZB2r/ug4UM59B3Teeae518ThsvZu644iV3bdnVZ6+xxLUUtLbdvA7P7UZlZafR3LhAzMzMzs77obam4FnLPvZ/Oa59x3wJcUoqCOq/rPvWs82g/9f3dBvdqGS4PSY/15W9m1991HYbLVU+1FrO03D62betrSWal5CUQzMzMzGzA9RjeI+IR4BFJP4qIko/hbu+mmtR73Ms0uHeopOBeqNnjWnig2JOWLy9FKWb9EhHXZ12Dmdn/z96dx0dVnv0f/1xZSCDsEHYQWRSssghWqKK1ahe1Wh9btVWprVattlLrT6vV2s0+bt3UVluqrVJt61IXtGpFnxYRBQVFQBHZUQGBIFtCFjLX749zJkyGWc5kzpkzM7ner1demeUs90wOJN+57/u6jTHGtD/phs0/rKpnAm+IyH5d3Koa6rjmNve6ZyHo4G6MKQwiUg38ADgEqIw+rqqfCa1RxhhjjDGmaKUbNh9dw3gZcFXM4wLcGkiLgpZHReoKKbQnm9dujBeRiLJ0ww5mL9/CSyu2hN0cvzwIPAScDFyCs0Z80bw4Y4wxxhiTX9INm9/o3hyhqutinxORUYG1yoM29brn0XD5Qgruz18zp6WI3mdvnpK7Ew8ZkrtzGd9t2dXAS+85YX3Oiq1sq20E4NCBXUNumW96qeq9IjJNVWcDs0Xk9bAbZYwxxhhjilO6YfPfBi4FhonI4pinukDmU5gLWXsN7k11TayatR6AVbPW57aYXnV1bs5jfNG4N8KCddt46b2tvPTeFt7ZuBOA3p07cOxB1RxzUG+mjKymd+cKpDjqsUfrgGwUkZNxCnz2DLE9xhhjjDGmiKUbNv834FngJuCamMd3qeq2wFqVRq573dtrcAeneF5oy9ctXJh+GxMaVWVtTZ3Tu/7eFl5dXUNdYzNlJcKEA3pw1ecO5tiDqjmkf1dKSiTs5gbhRhHpBlwJ3ImzhGYgq3AYY4wxxhiTbtj8DmAH8NXcNCe3IvUNlFTmbu34QgvuUZ8twOXrTDB21jfxysoa5qxwhsO/v20PAEN6duJ/Dh/IMSOrmTy8F10qi/9aUdWn3Zs7gOPCbIsxxhhjjCl+6Xrecy7S2JByaTi/et033/EPauctoWrSYfS5/Oyku/rV616owT3Kgnv71BxRlny4o6V3/c33t9McUao6lDJ5eG8umjKMYw6q5oBeVWE3NWdE5GpVvVVE7gQSrcJRHJMCjDHGGGNMXsmr8N64vYblv7yWLqPHMej0qf4cNEFwj9Q3UDtvCQC185YQuej0hD3wxRLcj+66IuN9Xt45MoCWZKhbt7Bb0C5t2L7H7VnfytyVW9le14QIfGJAVy4+xgnrhw/pQYeykrCbGpZl7vcFobbCGGOMMca0K3kV3iP1zhDcXcsWETn5rP164P1a172ksoKqSYe19LwXY3BvS2BPtX8oYX7EiNyfsx2qa9zL/NXbeGmF07u+akstAH27VnD8qL4cc1Bvjh7Rm16dczfFJJ+p6lPuzTpVfST2ORH5SghNMsYYY4wx7UBehfeSyo5E6vfQZfS4lEPnPUtRpK7P5Wcn7XH3S66De7aB3euxcxbkV67MzXnamUhEeXvDTuas3MKc97ayYN02mpqVirISjhzWi7OPGMIxB1VzUN/OiBRloTm/XAs84uExY4wxxhhjspZX4b1D914ccO5lrYJ7dA68X73usZIFdz963XMV3IMM7OnOGXiI37Ej2OO3Ixu27+HlFVuZs9IZCh9dc310/65886gDOXpkb44Y2pPK8tKQW5r/ROQLwEnAQBG5I+aprsDecFpljDHGGGOKXaDhXUQGAzOAvjiFnaarVgtrjgAAIABJREFU6u2p9okN7h88PoNdyxbRZfQ4el98XmYnb+PScIUS3MMI7cnakBfz400ruxv2Mn91DXNWbGXOin1D4au7VPDpg6qZclBvjhrRmz5dKkNuaeZEpCfwEDAUWAucqaofx21zAPA4UAKUA3eq6h/c534BTAV6qGrnmH3OB24DPnQf+p2q3pOgCRtw5rufCsSuZ7gLWyrOGGOMMcYEJOie973Alar6hoh0ARaKyCxVfSfdjpHGBnYtWwQ4c+B7NpxJSUX+z7ltL8E9loX48DVHlMUfbHd611ds5Y31H7M3olSWl/DJA3vx1U8O4eiRvTm4b5diGAp/DfCiqt4sIte4938Qt81GYLKqNohIZ2CpiMxU1Q3AU8DvgET/kB5S1e+kOrmqviUiS4HPqer9Wb8aY4wxxhhjPAg0vKvqRpw/olHVXSKyDBgIpA3vJR0q6DJ6HLuWLaJq3NjMgntIve5BB/d8C+3xEoX4pros1oefMMGPZhWtdTW1zFmxlZdXbOWVVVvZWe+M2D50YFcunDKMKSN7M+GAHsU4FP404NPu7fuB/xIX3lW1MeZuBU4PfPS5eUBWH2KoarOIDBaRDnHnMsYYY4wxJhA5m/MuIkOB8cB8r/sMOn0qdedn2OMe4nD5oAQZ2utrm6ms8jfcHd11BS/vHMnz18xh1az1DD9xCJ+9eUrmB9qyxdd2FbqPaxt5ZVUNL6/cwssrt/L+Nmd1hgHdKvn8of04emQ1Rw3v1R6qwvd1PxgE2IQzLWc/7rSdfwEjgKvcXvd0zhCRY4D3gCtU9f0U264B5orITKA2+qCq/trDeYwxxhhjjMlITsK7O2z1n8D3VHVn3HMXARcBlHXtsd++hTBUHoLrdQ8yuN8xbSXzn9nGkSf15PLb/V2WbWLpu9w9az0Aq2atp+mGJk/7xV4P7b3fvb6pmYXrPubllU7v+tINO1CFLhVlTBrei29NGcZRI3ozrHdVIQ6F7y0iseukT1fV6dE7IvIC0C/BftfF3lFVFZGE1Szd4D1GRAYAT4jIo6r6UYo2PQX83R1qfzFOr/5nUmy/yv0qAbqk2M4YY4wxxpisBR7eRaQcJ7g/qKqPxT/v/sE+HaBj/8Gt/gjPuMJ8EQ2XD3qIfH1tM/Of2QbA/Ge2Uf+//vbAV1aVcuRJPZn/zDaGnzjE89D52OthYpJQVqyiS7i97FaEf33tNhr2RigrEcYP6c73jj+Io0f2ZuygbpSVlqQ/YH7bqqoTkz2pqicke05EPhKR/qq6UUT6A5tTnUhVN7hz1KcAj6bYribm7j3ArWmO+9NUzxtjjDHGGOOnoKvNC3AvsCxfh5K2x+AOrcP1kSf19H3oPMDlt4+I+VBgBXf7fobCpqqs31bXEtZfWVXD9jpnhMLBfbvwtSOHMGVkb448sBdVFXm1qmPYZgJfB252vz8Zv4GIDAJqVHWPiPQAjgZ+k+qg0Q8E3LunAsvSbF8NXA18Amgp26+qqXrrjTHGGGOMaZOgE8FRwHnAEhFZ5D72Q1V9Jt2O8b3ukYaG1EPo29jrno1CDe5RrcN1MLI69gh/h/Lngy27GnhllRPW566s4cPtzrz1/t0qOWF0X44a0atgl3DLoZuBh0XkAmAdcCaAiEwELlHVC4HRwK/cIfUC/FJVl7jb3Qp8DegkIh8A96jqT4DLReRUnFUytgHnp2nHgzhL1p0CXILzQYIVajDGGGOMMYEIutr8yzh/OLdJNLBvvm8GtYveomrcWPqcP9W39uVbkbowqskHGdyz1qlT2C3I2u6Gvby2poa5K2uYu3Ir727aBUDXyjImD+/FJccO41OFO289FO7w9uMTPL4AuNC9PQsYk2T/q3F6zOMfvxa4NoOm9FLVe0VkmqrOBmaLyOsZ7G+MMcYYY4xneTkWt76PtgT2TocdSt2SpQDULnorcQ98G3rdvQT35j2NlHbssN9t8LfXPd+XgAvN4sVhtyBjDXubeWPd9pbe9bc+2EFzRKkoK2Hi0B5c/fmDOWp4bw4d2I3SEgvrBS5ahXGjiJwMbAB6htgeY4wxxhhTxPIyvEcaGqhd9BYAdUuW0mnMYdQtXpL5eu9ZePfGmdTMXk6vYw8GaLk96vpTLbibFs0RZemHO3hlVQ2vrHKKzNU3RSgRGDOoO5ccO4yjhvfm8OJcb729u1FEugFXAncCXYErwm2SMcYYY4wpVnkX3uv7KCVUUDVubKuh8knnvCfodY/UN1BSmTzkp+t1b97TSM3s5QAt36O3R9+4DvBWOT2dQg/uQawRn+9UlRWbd/PKyq3MXVXDvNU17KrfCzhF5s4+YghHjejNkcN60rXSn+vE5BcRqcSZ4z4CGAjcq6rHhdsqY4wxxhhT7PIqvEdisk58YPfa4775jn9QO28JVZMOo8/lZ7epHaUdO9Dr2IMT9rx7XfIsnUIP7kGuEd+id+9gjpuBaEV4p2e9hldXbWXr7kYAhvTsxMmH9Wfy8F58anhvqrvkZlSISU9EugNfU9W73HXe71DVL4vIOGBAtGimiJwPTFTV72Rw+PtxCuK9BwwCDgGmucdrOZd/r6ZtROQnwFpVvc+9vVtVfxnQuX6oqv8bxLGNMcYYY4wjr8J7vLSBPa7XPVLfQO28JQDUzltC5KLT9+uB91qkbtT1p9J8Zcyc9ysbGT9wq8eWp1bowT2LNeIzW5z8gAMyb5wPNmzfw6tuWJ+3el9F+D5dKjh6RG8+Nbw3k4f3YnDPwi+oV8S6A5cCd6nqBiAapscBE4G0K16kcAjwT2A38FvgtegTcefyRERKVbU5i/bkgx8CFt6NMcYYYwKU1+E9UyWVFVRNOqyl572twT0qtkCdBfd92rJG/B3TVgKMz+hEy1Ius+2bzbvqedUN6q+sqmFdTR0APTqVM2mYUxF+8vDeDK+2ivAF5GZguLtE5QqcnvLDgZ8BHUXkaOCm2B3cddv/AAxxH/qeqs5NcOxoobqxwBzgEBH5lqr+SUSGAk+r6qEi0gm4DzgUWA4MAC5T1QUishv4I3ACcJmIfAb4ItAReAW4WFVVRP4LvAlMAaqAqTgV8Q8DHlLV60WkCngYZxRAKfBzVX0oQbvHisirQG/gVre9AtwKfAFQ4EZVfSjF4/1xlsfrivP749vAye57ugh4W1XPSfQDMcYYY4wx2Snc8J6kwnyfy89O2OOeDb8K1OVLcJ/ScX3K5+fsGZLyechsjfjYnvqM1NVlvo8HNbsbmL9mG6+uquHV1TWs3LwbgC4VZRw5rBdTJw9l8rBejOrXhRKrCF+orgEOVdVxMYG6UURuIGaYvDtsPup24Deq+rKIDAH+jRP6440FPoHz/2ed+/2PIvIbnKC7zt3uUuBjVT1ERA4FFsUcowqYr6pXuu14R1V/5t7+K87a8U+52zaq6kQRmQY8CUzAWYd+lXvOTwMbVPVkd/9uSd6TMcAk99xvisi/gMk4oxHG4oT610XkJeBTSR7/GvBvVf2FiJQCnVR1joh8R1XHJTmvMcYYY4zxQUGF96RF6+IkCu7xve7xS7/5pamuKeG8+DCDe7qw7mX7RIHea7G62J76MGyva2Te6m3MW13Dq6tqWP6Rs9Z6pw6lHDG0J1+eMIjJw3rxiQFdKSvNbGS/KSon4PSiR+93FZHOqro7diNVLXXnkJeo6g0AIjIDeAwnoD/tbno0zgcCqOpSEYld+7AZZ+h91HEicjXQCWe5ubfZF95nut+X4PRsb3TPuRoY7D7+KxG5BedDijlJXt+TqroH2CMi/wE+6bbx7+6w/Y9EZDZwRIrHXwf+LCLlwBOquijhmYwxxhhjjO8KJrxH132vGjeWPlefmdWxYpeBG3X9qSm3zaTX/flr5rBq1nqGnziEz948peVxP4O7lwrvmYZ1L2KP6aVnPt7lt4/gnGdeezOjncrbVhxwe10jr63ZxrzV23h1dQ3vbtqJKnQsL2Xi0B6cOm4Ak4b1YsygbpRbWDf7lACTVDXxsJ79aZr7qdRH57m71evvwhkR8L77wUBlzLYN7vdIzO3o/TJVfU9EDgdOwlm+7sVoL76P7XV2UH1JRI7BGSp/n4j8WlVnZHocY4wxxhiTuYII77HrvtcueotI/WkZDYuP7XWPXwYutihdvEyCe1NdE6tmOQF31az1NN3g9MD7GdzTVXgPIrQnEj1PG0J8JKOtx4zxtNn2ukbmr9nGfLd3fZkb1ivKSpg4tAffP+EgJg/vxZhB3elQZmG9ndgFdMngcYDnge8CtwGIyLg0PcunichNOMPQP40zVD/2P5O5wJnAf0TkEJx56olEg/pWEemMU/Du0RTnbcWtcL9NVR8Qke3AhRm0txS4WETux+nxPwa4Cud3w36Pi8gBwAfufPkKnDoCM4AmESlX1ab4kxpjjDHGGH8URHgvqYhZ9z1BIbpMxC8D59fQ+fJO5Qw/cUhLz7tfS8pFparwnqvQHi+LEO/NhsQfnnxc64b1NTXMW72tpWe9oqyECQf04IoTDuLIA3sybkh3Ksra1zr0xqGqNSIyV0SWArGVD/8DXOMWV7spbrfLgd+7w9vLgJdw1nNPZrF7vN44ReI2uPPro+4C7heRd4B3cYbC70jQ1u0i8idgKbAJZ2h6Jg4DbhORCE4xvW9n0N7Hcea9v4XTE3+1qm5K8fjXcUJ8E061/anusacDi0XkDStYZ4wxxhgTDFHNeORkYCqGDNaBV16R9PlIQwMlgzNrb7IK8+nmvHvpdU80vz32Mb/nucf3vPsV2mtrI1RVZd8jnS7EnzPytYWqOtHr8SaK6AJVanY3uMPga5i/ZhvvbnLmrFeWl3D4kB5MGtaLScN6MXZwNwvrBUJEMroWCpFb0K1cVetFZDjwAnCwqjbm6Pw/wV3nPRfnM8YYY4wxwSqInvcov4I7kHVwTza/PajgDvsqvJ/Y+0PAn+B+6be38/RT9ZzyxUruurt7VsdK1hPvZZ5+Mif+ejYr3Grw0Tnrp4zp785Zt2HwJq91whkyXw4IcGmugrsxxhhjjCk+BRXe80FTnTOlM9H89qggK8s7wd0ftbURnn7Kqc319FP13PZLf3rgp3Rc3xLgY0cLtMWA7h05/fCBHHmgFZgzuSci3wCmxT08V1UvS7evqu4Cwhxd8F8g+SeYxhhjjDGmoBROeE+yrnsyqXrdU0nV6x7b255sfntQwd3vee0l2yJU9SzhlC9WtvS8+xHco6Z0XE9tbaTVPH2cat6e6ahR3P/NT/rWJmPiichgnIJrfXHmdk9X1dujz6vqX4C/ZHmOUmAB8KGqnpLNsRIcuztwD3AoTvu/qaqvAqjqf304/hU4BfAUZ0m6b2RQjd8YY4wxxvjIujFjpAru8dXkj7thEhfOOdPTknD1tc1ZtSuIgnTdf7QTgLvu7s6y5X2yHjKfSFWV8+EAEO15z6jafMx628YEZS9wpaoeAkwCLnMrw/tpGq2L5vnpduA5VR0FjPXzPCIyEKeI30RVPRSnMv3Zfh3fGGOMMcZkpjDCe4563VOJVpMHWnrbvVSUv2PaSi4Yt5A7pq1s03mDCO5lq/dS9WQ9Zav3Avja4x4v+uHAI9PbUNV/WVB5xxiHqm5U1Tfc27twwu9Av44vIoNw1kS/x69jxhy7G84SbvcCqGqjqvr9n18Z0FFEynDm8HtfP9MYY4wxxvgqr8K7NuZmieDmPY373R5duQ7YN6d9x/s7aaproqmuibqtdQAc/f8m8PV/n85nb57Ssl3UxNJ3W25He9rjl3fbvqV1rar4+7EOj6xl8Eer9nt88+a91NZGqK3d14kdezv+sdraCEQUqY20fHWa6XwY0mlmfavHiWirc0Rvxx+31bHj2pZIzIcDhTNNw7Q77jJv44H5Ph72t8DVZDjqxKMDgS3AX0TkTRG5R0Sq/Dq4qn4I/BKnOuZGYIeqPu/X8Y0xxhhjTGbyaqk4EVFEOPA3v9z3oM+97u/eOLNljXeAmtnL6VDdhcYtu6jq24naj+qQEkEjrd+X2Mei20Urzb/xo2dbFWWLXc4tWrAtKvr4d49ZxLaNjfTs34E7XxrX6lx///7ilkJylZXw3sp+zr6f3MzGDfsyQHRIeny1+GgF+f4DSti4IcKpp1QwY2QZXe+oRRKM4NdS2DmtMzunVXHk5C0t56ishPp66D+ghPmv9Wk5LtBy7Oh5o22Lbhsv+ryqeh4LH10qzhSffFsqTkQ6A7OBX6jqYz4d8xTgJFW9VEQ+Dfw/P+e8i8hEYB5wlKrOF5HbgZ2q+iOfjt8D+CdwFk7hu0eAR1X1AT+Ob4wxxhhjMpN/4d3xNhBEUaQ+wGCfj/kWzlzTRN50v4+Pe3wJcFjcMaLd1iVJto+kOE+68wG82RU6DYVh5dAy3r8JmtbC6p2wG6do16Akx45vc6rnYl8POD3uY4GMwruIbAHWed3eFJQDVLU67EYAuEu5PQ38W1V/7eNxbwLOw/m3UAl0BR5T1XN9On4/YJ6qDnXvTwGuUdWTfTr+V4DPq+oF7v2pwCRVvdSP4xtjjDHGmMzk1TDmTIJdW4jIAlUdkn7LrI4fWG9ijo7v94cbbZYv4c4UL3GqIt4LLPMzuAOo6rXAte55Po3T8+5LcHePv0lE3heRg1V1OXA88I5fx8cZLj9JRDoBe9zjL/Dx+MYYY4wxJgN5Fd6NMSbHjsLpHV8iIovcx36oqs+E2KZMfBd4UEQ6AKuBb/h1YHco/qPAGzijB94Epvt1fGOMMcYYk5m8GjYftCLpGS/Y4xtjjDHGGGOMaZu8qjafA0H3GtnxjTHGGGOMMcb4rl31vBtjjDHGGGOMMYWovfW8G2OMMcYYY4wxBcfCuzHGGGOMMcYYk+csvBtjjDHGGGOMMXnOwrsxpt0TkYvs+OEd3xhjjDHGpGfh3RhjIOhwasc3xhhjjDFZsfBujDHGGGOMMcbkubxaKq5DSaV2LOmSk3PVRXayVxspkw50KumaolHlGR03os2USGmWrfNBY1PYLWihKLuaa5zbquJ1PxFRgKquAxBJvpuqpny+LerrtrG3aQ9l5R2p7NQz6XYljRFfzxso95pQFMHf9ytTO5u3blXVaq/b9+7USYceckhg7dmyZQvV1Z6bY8f30cKFCzO6Fowxxhhj2quysBsQq2NJFyZ3/VLg59mrTby4/X73diNHjL6AstIOWR939ju3U9+0k8ryrhx7yLSsjxe49Rtzdqq3dr/IpqY1Ge9X3X8Moyecm/T5ZQsfYMvGxWm3y0Tz3gbmPvcjAPY27WHs5EsoLavwtG/H93f50oagvLX2n2za8Q79uh3C2JJPhdaOf398z7pMth+6Zw8LFiwIqjkmRCKS0bVgjDHGGNNe5VV4D8SQ/vs9VAb000NaQowfwb2+cTf1TTud2007qW/cTWWHzlkfN1AJ3psWPgf7sZ2PZ9PH97yZyT4dew1k8Mnnszvmsc6b9rbcbt7bwJaNiwHYsnExB+1t8ByyUyktq6C6/5iWDwUyOeaewa1HjuRTmN/b3MimHe8AsGnHO3zi0C+2vvZz+GFOxsozGwFjjDHGGGNMsSme8J4qiCYwdugZfKL5i74Ed4DKDp2pLO/a0vOe98E9nWTvZ3YBL6Mx5omGwu/uF3vJlrU5ZKczesK5vnwYkE9hvqy0A/26pfjQKv5nnk9hfsyYsFtgjDHGGGNMqAozvGcY1JPxK7hHHXvItMLocc9Govc+xJA3+OTzGdDUQGl5Bbtp3TOfLT8/DIgKO8xn9KFVPoX5DRvCO7cxxhhjjDF5IP/D+5D+7G1u9D1oZytZm4o6uCcTcqAvLd8Xslv3zDv8DPTJNLexlz4+zEPwgb7N/5baEOb3ahNl4sOQ9415NArAGGOMMcaYEORXeO9Qvl9AiBbY6tN1FOMP/EpIDWutVdGvoWeE3Zz8lEe9tvGB3u8w73fRvLb2zuf8Q640P+NokcJ+5QcytvPxuWuXMcYYY4wxRSiv13mPLbC1eee7vLnmkZBbtH/Rr73NjSG3qED4NNXBD7v7lbX6ykZ80bzmvQ1+NLGVPYO7tPpK5K21/+TFpbfw1tp/+n5+z4b0b/naO7BXy+oCm5rWsFfzZ+lCY4wxxhhjClF+9bzHKSvtQJ+uo9i8813ACfBhD6EvK+3Qqkha09Be5DKWJBqenat502G/94k0u/Pds5FNz3w2lenbKhrgo9dC+dqa1lXkfSzE2Fb7Fcc7YEh2oy9Gj/avccYYY4wxxhSgvA7vAOMP/ApvrnmEzTvf9W1Zt2SS9WrGGz3Yn0rkmUo2PNtru7MJ+fk4VWD1izPYvmYR3Q8cx7Djp/p23EzDvF+V6TMRfy1U1+z7ACHs4B61X3G82NEXH4fTJmOMMcYYYwpV3od3cAK8X72+XoNuOrkO7n6saZ7utScL9/utD54HPbvNTQ1sX7MIgO1rFtHcdFbWPfDJeAnzubweEl0LsR8g7InbPuzl6XyxbJk/xzHGGGOMMaZAFUR4h8xDgF8hPV/kYnh2sves4/u7Uq8PHoLS8gq6Hziupec9qOCeSNAF8NJJdi0kuybCXp7OGGOMMcYYk72CCe+pFFtQTyaM4dngvL8HDT6f4TE9u7kIgJEy2NMHOm5O/Pyw46cG2uPuVRhhPptrwcK8McYYY4wxhcdTeBeRv6rqeekey4X2EtSTyXVwT3buXAbAPX1a348N82EH90RyFeb9uhYKIsz3z5/VCoyJJyJ9gf8FBqjqF0TkEGCyqt4bctOMMcYYU0S89rx/IvaOiJQCE/xvzv7ae1gvFIl+TkGFwFRhPh+FPcw+U7E/y7wJ8gMGhN0CY1K5D/gLcJ17/z3gIcDCuzHGGGN8kzK8i8i1wA+BjiKyM/ow0AhMD6JB+RrWEy3RZlLb72f5VkDnsTCfVLbXbd70yi9eHM55jfGmt6o+7P7ORFX3ikhz2I0yxhhjTHFJGd5V9SbgJhG5SVWvDboxkQ4lQZ+iTZIt0ZaNQuuNLSQW5h1BXLehhfmmptycx5i2qRWRXoACiMgkYEe4TTLGGGNMsfE6bP5pEalS1VoRORc4HLhdVdcF2La8EL8s14BezYHMs44PcG1lHwLsrz2GeT+WFvQib3rmjQnX94GZwHARmQtUA18Ot0nGGGOMKTZeE+PdwFgRGQtcCdwDzACODaJRYQ1RTxygy0JbkqwtvHwI0N4Dfj6E+eamBs/XUlvCfC6WFkwksPnynTr5dyxTVESkJ8788qHAWuBMVf04bpsDgMeBEqAcuFNV/+A+NwFnznpH4Blgmqqql+NGqeobInIscDDO1LLlqmrDRYwxxhjjK6/hfa/7x8xpwO9U9V4RuSCIBgUx1DdWW3q482VJMr+keg/aY7DPdZhf/eKMlg+Dhh0/NeP9vYb5sJYWjPK1V3706CxbY/LRph31fhzmGuBFVb1ZRK5x7/8gbpuNONXfG0SkM7BURGaq6gacD6e/BczHCe+fB571eFwAROQy4EFVfdu930NEvqqqd/nxAo0xxhhjwOmF8GKXW4jnPOBfIhLtvUhLRK4QkbdFZKmI/F1EKpNtq6qthvo2723w2LzEdvcr2+8rE81N+85fLME9nWzfszQCLWoQaczueona06f1l5+amxrYvmYRANvXLGq5xmKvtUyl+nnlU5HFPYO7tHxlbF3Rz9Bpd+oa93LhjNf9ONRpwP3u7fuBL8VvoKqNqhr9R1aB+3+RiPQHuqrqPFVVnBFl0f3THjfGt1R1e8z5Psb5QMAYY4wxxjdek9lZwNeAb6rqJhEZAtyWbicRGQhcDhyiqntE5GHgbJwhiom2b/NQX59DZta9o8Uk0XubaQ/9soUPAIz3p0X7++DxGexatoguo8cx6HR/f15+9syXllfsNw3D72st9udVyCMpROQi4CLI0bqUJmciEeX7D73F2xt2AvQWkQUxT09X1UxWM+mrqhvd25uAvok2EpHBwL+AEcBVqrpBRCYCH8Rs9gEwMJPjukpFRNwPAKLLqXbI4DUYY4wxxqTlKfG6gf1B4AgROQV4TVVnZHCOjiLSBHQCNqTa2OtQX7/Deqz9e0eLZ8i8XzKZhx1bPC0IkcYGdi1zfl67li0icvJZlHQI7ueVbZiPnYYR9LVWyKsauAFuOsBEEQ25OcZHv571Hs+9vYnrTx7Nt25mq6pOTLW9iLwA9Evw1HWxd9zpXQmvFVV9HxgjIgOAJ0TkUa/tTXVc13PAQyLyR/f+xe5jxhhjjDG+8TSMWUTOBF4DvgKcCcwXkbSVdFX1Q+CXwHqcOYc7VPX5dPslCu4BDuXe//xu7yhQEEXq8kG6odvV/cdkfMyIp4kZUNKhgi6jnZ9Xl9HjAg3uibRlmH30msr1tZbLf0fGJPL4mx/wu/+s5OwjBnPB0Qd62kdVT1DVQxN8PQl85A5/jw6DT/lxmjvPfSkwBfgQGBTz9CD3MTI87g+A/wDfdr9eBK729OKMMcYYYzzy+tf7dcARqroZQESqgReAlD0XItIDZ97ggcB24BEROVdVH4jZpmVobEXH7q32DzNcFFuRulyL/9mNnnAuW56++s10+8VeD6U9elDfN9Lq+cqPEn/eNOj0qYH3uHsVG+C99MqHea0VzBD7MZl/+GPyz+trt/GDR5cweVgvfnbaoYiIH4edCXwduNn9/mT8BiIyCKhxp2/1AI4GfqOqG0Vkp7su+3xgKnCn1+NGqWoEp/Dd3X68IGOMMcaYRLym45JocHfV4K3X/gRgjapuARCRx4BPAS3hPXZobFX1YM2n3kAL7v5xf66RdNvFXg8VQwbvN0w1VZjPh+Aez+sQ+3y41vJ6iH1dXdgtMFlaV1PLRTMWMKhHR/5w7gQ6lPlWv/Jm4GF3BZR1OKPDcOezX6KqFwKjgV+5Q98F+KWqLnH3v5R9S8U9634lPW4iInIU8BPgAJzfq4Iz2n6YXy/SGGOMMcZrUn5ORP4N/N29fxbOkjrprAcmiUgnYA9wPLAg9S6Fw+9K5Nlkv6xrAAAgAElEQVQKY73ysHntmc8X+bDGvFd5FeZXrgzv3CZrO+qa+MZ9r6PAn88/gm6dPM6J8UBVa3B+t8Q/vgC40L09C0g4fMPd7lCvx03iXuAKYCHQ7HEfY4wxxpiMeC1Yd5WI/A/OUENwqgE/7mG/+W5RoDeAvcCbuL2qhSDfwnk66dobRFBsbmrIi17jqDDDfKSxIePe/0IN83nVK2/yWuPeCJc8sJD3t9XxwAVHMrR3VdhNCsIOVX02/WbGGGOMMW2XyRj1uUAToDjF6zxR1R8DP86wXTlTaAE9G6lea1tCYyEspxcb5oMM8n4tVZfpfPmw5FWvvMlbqsq1jy3h1dU1/OassRw5rFfYTQrKf0TkNuAxILqePKr6RnhNMsYYY0yx8RTe3WrztwH/xZnLd6eIXKWqnpfayQftKahnKtF7kyo8FuJyekH1yge1VJ31yscYMsT/Y5rA/e7/VvLPNz7geyeM5PTxg9LvULiOdL/HLnmnwGdCaIsxxhhjilSg1ebDZmE9O6kCfXSJs2jPe74H90T8CvPRpeqiPe9BFc5r173y1dXZH8Pk1JOLPuRXs97jf8YPZNrxI8NuTqBU9biw22CMMcaY4hd0tfmcsrAevNj3uP9Xp3LAh/nf4+5VNkPsc71UXbvrlV+40KfWmFyYt7qGqx5ZzJEH9uSmMw7za0m4vCUifYH/BQao6hdE5BBgsqreG3LTjDHGGFNEgq42HygL6+FrHNg6rOZziMxEW3rlw1yqrlDCfD4tBWmCseKjXVw0YwFDenVi+nkTqSgrDbtJuXAf8BecUWoA7wEP4VShN8YYY4zxRaDV5oNggT2/FUqIzFQhL0lXLD8Dk/8276rn/L+8ToeyUv7i85Jwea63qj4sItcCqOpeEbEl44wxxhjjq0y6wV7BWb82ArweTHP2Z2G9sBXrzy9XVez9UBRBvlu3sFtg0tjdsJdv3vc622obeejiSQzu2SnsJuVSrYj0wilSh4hMAnaE2yRjjDHGFBuv1eYvBG4A/o991eZ/pqp/DqJRxRr4TIbKIum3yQOF1CtfsCMjRowIuwUmhabmCJc++AbLNu7iT1MnMGZQ97CblGvfB2YCw0VkLlANfDncJhljjDGm2Hjteb8KGK+qNQBuD8MrgK/hPVJWeMG9vo+23I40NFBSEX7xtsrNRVQcqrqh9f0t4b+/6cSG+Q7vN4U6Fz6dgumVX7ky7BaYJKJrub/03hZuOeMwPjOqb9hNyjlVfUNEjgUOxvmAe7mqNoXcLGOMMcYUGa/hvQbYFXN/l/tYuxAb0JPZfN8Mahe9RdW4sfQ5f2oOWpVcuvYWdLiPDfN5HuQ33/dXat98i6rxY+lz/nmA9cq32Q4bgZyvfjPrPR5d+AHTjh/JWUcMCbs5OeXWgknkIBFBVR/LaYOMMcYYU9RShncR+b57cyUwX0SexJnTdxqwOOC25ZyXkJ5IpKGB2kVvAVC76K286YFPJtnrLLhQn8e98pGGBmrfdK+JN98i8tUzKamosLnypqj8dd467vi/lZx9xGC+d0Jxr+WexBfd732AT+FMLQM4Dmd0moV3Y4wxxvgmXc97F/f7Kvcr6slgmpM7bQ3qiZRUVFA1bmxLz3s+B/dUEr0nBRXo86hXvqSigqrxY1t63hNdE4U6V96CvAF4dslGbnhyKSeM7sONXzq06NdyT0RVvwEgIs8Dh6jqRvd+f5zl44wxxhhjfJMyvKvqT3PVkKD5GdYT6XP+1LzvcW+L+PetYMJ8HvTK9zn/vJYedy8KpVc+lOH1Eybk4CTGq3mra5j2j0WMH9ydO796OGWl+Xu95sjgaHB3fQS0rzkExhhjjAlcumHzXidvL1LVvBpGH3RYT6TYgnsiRRHmcxjk23pNFEqQhxz1ym/ZEtCBTabe3rCDb92/gME9O/Ln84+gY4fSsJuUD14UkX8Df3fvnwW8EGJ7jDHGGFOE0g2bP9DjcdZm2Q5fBBHYi7E33U8FGebzoFc+E8mG10caG/Kukn1gQX79eh8PZtpqXU0tX//z63SuLOOvFxxJ904dwm4SItITeAgYivO76ExV/ThumwOAx4ESoBy4U1X/4D43AWeIe0fgGWCaqqqI/AT4FhD95OiHqvpMojao6nfc4nVT3Iemq+rjPr1EY4wxxhigCIbNB9nDnk8V5AtF7M+jIII85NVceS/q+0ZaKtl3GT2OQafn57Vp8+SLy+ad9Zx372s0RyL846LJDOjeMewmRV0DvKiqN4vINe79H8RtsxGYrKoNItIZWCoiM1V1A3A3TkifjxPePw886+73G1X9pZdGuJXlrUCdMcYYYwLjaTyuiHxFRLq4t68XkcdEZLzHfbuLyKMi8q6ILBORydk0GJyAGP0KSqIK8rmSy3MFKfbnFMY0hjapbmj95VGur49oJftdyxZR133Pfr3z+WZPn31fpvDsqGti6p9fY+vuBv7yjU8yok+X9DvlzmnA/e7t+4EvxW+gqo2qGv1HWoH7u88tLNdVVeepqgIzEu2fjoj8j4isEJEdIrJTRHaJyM62vBhjjDHGmGS8Tqb9karuEpGjgROAe4E/eNz3duA5VR0FjAWWZd7M3AT2WNEK8kBOK8hvvm8G637wQzbfNyMn54tVLB8a+MpDkN98319Zd/V1bL7vrzlpUrSSPdCqkn1930jLV76INO7/vrUpwI8YkX1jTJvUNe7lm/e/zqotu/njeRMYN7h72E2K1zemWNwmoG+ijURksIgsBt4HbnF73QcCH8Rs9oH7WNR3RGSxiPxZRHqkaMOtwKmq2k1Vu6pqF1Xt2uZXZIwxxhiTQLo571HN7veTceby/UtEbky3k4h0A44Bzgen9wNozKSBYfbYBlJBvk990qci9XG9/V13UFKZ5NybK/1rEzZFwJMEw+uTrecetHSV7PNhGboPHp/BrmWL2jy0X0QuAi4COHDgwDRbmyA07o1wyQNv8Ob6j/n91w5nysjqIE7TW0QWxNyfrqrTYzcQkReAfgn2vS72jjtXPeEvDVV9HxgjIgOAJ0Tk0TTtuhv4OaDu918B30yy7Ueq2qYPpo0xxhhjvPIa3j8UkT8CJwK3iEjLsMM0DsQp9vMXERkLLMQpBlQb3SD2D/Syrvs6NvJlmLXnIJYilHs+V2UFVZMOo3beEqomHZY8uGd6vjRBP9EUgbCK9MVeD6W9u4XSBk/cIF8CaddzD0om58p19fpIYwO7li0CnKH9kZPPyri4nhvgpgNMTBLITHCaI8oVDy3ipfe2cOsZY/jCYf2DOtVWVZ2YagNVPSHZcyLykYj0V9WN7jD4lBUWVHWDiCzFKS43FxgU8/Qg4EN3u49izvEn4OkUh10gIg8BTwAtn/K58+CNMcYYY3zhNbyfiVPE55equt39A+kqj8c/HPiuqs4Xkdtxign9KLpB7B/oFUMGa76E9oR8COhpT3H52UQuOj11cM/4oPu3O1Lf4Jxjc2XLFIFoz3uY1fVjr4fOB/XL44thnz5XnUmk/jT3Z9aQtuhd2CsY5CLIl3SooMvocS097/lWFd+kFokoP/jnYv61ZCPXnzyaM48YHHaTUpkJfB242f3+ZPwGIjIIqFHVPe7w96NxitFtdOeoT8IpWDcVuNPdp3/McPzTgaUp2tAVqAM+G/OYYgXsjDHGGOMjT+FdVetE5D/AYBE53H14q4ddPwA+UNX57v1HccJ7/stBUE/G1+CewOY7/tHSu9/n8rMB6HN1TADNo8rgA6q3t9zesCXv5tq2aPUzS1G9Plolvmr8WPqcf16OWpdckEF+0OlT29TjbsKlqvzkqbd5dOEHfO+EkVw4ZVjYTUrnZuBhEbkAWIfzYTMiMhG4RFUvBEYDv3KH1AvOB9FL3P0vZd9Scc+yr9L8rSIyDieErwUuTtYAVf2Gz6/JGGOMMWY/nsK7iPwcZ976Kpw/ZHC/fybVfqq6SUTeF5GDVXU5cDzwTtubG6AQw3ouReobqJ3n/M1aO29Jq17+lgCa6L3weY59WxRKkG8lJshHPiCU+fFeBRHkfQvuvXv7cxyTkqpyy3PLmfHqOi46ZhjTjh8ZdpPSUtUanN8t8Y8vAC50b88CxiTZfwFwaILHPX+6JiIH4cyR76uqh4rIGJwCdmlrwxhjjDHGeJXJsPnhbsG5TH0XeFBEOgCrgfzooWgnYT1eRvPqY8W/XyGH+dggD4UR5ksGse+9z/H8+Ezleo58WgccEHYL2oU7XlzJH2av4pwjh3DtF0YhImE3qVD8CWcq2R8BVHWxiPwNsPBujDHGGN94De9Lge60YUC1qi4CUhYjypmYANoy57sd8mVefWyYDznIN+9pLJhe+dbvvdsrn2aOfNjyIsgvs0LeQbv7v6v4zQvv8eUJg/j5aYdacM9MJ1V9Le492xtWY4wxxhhTnLyG95uAN90KvbGVdE8NpFV+StDDnmjOd3sTaEG8HIb5d2+cSc3s5fQ69mBGXe9cjvke5Pd771PMkc83oQX5urrcnasd+vPLa7jluXf54tgB3HLGGEpKLLhnaKuIDMedViYiXwY2pt7FGGOMMSYzXsP7/cAtwBIgkmbb8KVbSz3JnG/jkxz1yjfvaaRm9nIAamYvp/nKRko7dmi1Tb4H+f1YkDc5NuPVtfzs6Xf43Cf68uszx1Jqwb0tLsNZJWOUiHwIrAHOCbdJxhhjjCk2XsN7nareEWhL/OBhHnub53ybtgmwtkBpxw70Ovbglp73+OAez4J8cAIP8uXl/h/T8MC8ddzw5NucMLovd371cMpL7UOYtlDV1cAJIlIFlKjqrrDbZIwxxpji4zW8zxGRm3DW040dNv9GIK3KRBvCYSBrqZtQjLr+1IQ97ulYkA9OIEF+TMJC4SYLf39tPdc/sZTPjOrD788ZT4cyC+5tJSK9gB/jrB+vIvIy8DO3Er4xxhhjjC+8hvfx7vdJMY+lXSouUFn26FpwLx6ZBvd4FuSD41uQ37DBh9aYqL/NX88PH1/Cpw+u5u5zD6eirDTsJhW6fwAvAWe4988BHgJOCK1FxhhjjCk6nsK7qh4XdEM8K5Il3uKXOvNDQQTPPGdBPjixQT5jG632l18emLeO659YynEHV3P3uRMsuPujv6r+POb+jSJyVmitMcYYY0xR8trzjoicDHwCaKlApqo/C6JRCRVYaA8inPtxzoIIpHnCgrwpNn99dS0/evJtPjOqj/W4++t5ETkbeNi9/2Xg3yG2xxhjjDFFyFN4F5E/AJ2A44B7cP4weS3Adu2T56E9jJCejWTtLYhwGiIL8qbQ3fvyGn7+9DucMLoPvz/HgrvPvgV8D3gAZ0pZKVArIhcDqqpdw2ycMcYYY4qD1573T6nqGBFZrKo/FZFfAc8G2bB8De1tCevNezIvqJZriV5XvoTUfHv/LMiHYPTosFtQ0O7670pufW45n/9EP+74qhWn85uqdgm7DcYYY4wpfl7DezRJ14nIAKAG6B9Mk8ir4J5tz/q7N85sWcps5JWfz6sQmk78aw8jqMa+f6OuPzXn508nn4J8pL4hfSHGYgjyxjNV5bcvrOD2F1dw6tgB/PrMsZTZcnC+ExHBKVJ3oKr+XEQG48yDz80INWOMMca0C17D+1Mi0h24DXgDZ1jgn/xvTSQvgrtfQ+Gb9zRSM3s5ADWzl+d1CPUi12G+Y0kjW2Pev7YsCZdLYQb5zXf8g9p5S6iadBh9Lj/b207RIF8IIX7ZsrBbUHBUlZuefZfpL63mjMMHceuXx1BaImE3q1jdBURwVmD5ObAb+D1wRJiNMsYYY0xxSdsFIyIlwIuqul1V/wkcAIxS1RsCb10ODaje3vLll9KOHeh17MGtHquZvZzmPY2+nSNMQbxnsaREGH7iEACGnzgkr4N7vKDfm1iR+gZq5y0BoHbeEiL1DWn2iFPdsO/LFIVIRLnuiaVMf2k15006gNssuAftSFW9DHeUmqp+DBTOf1jGGGOMKQhpe95VNSIiv8dd611VG4Ci+Cs/F8Fq1PWn0nxlIyt+9VxLz3shhVCvgup1/uzNU2i6oYnyTuXAvrW+F28b4Ns5ghZ9b4LqjS+prKBq0mEtPe9ph86nYsPqC15Tc4SrHnmLJxZt4NufHs7VnzsYZ1S3CVCTiJTijEpDRKpxeuKNMcYYY3zjddj8iyJyBvCYqmqQDcqFXFeIL+3YoSXEF2Nwj+d3kHeCe2tjehZekA9yWH2fy88mctHp2QX3ePk0rL5/cCU2ikl9UzPf+dsbvLBsM1d97mAuO25E2E1qL+4AHgf6iMgvcFZkuT7cJhljjDGm2HgN7xcD3wf2ikg9IGSw/I3bI7EA+FBVT2lTS7OUD0u6FUtwz6T6e+z7viag9hRSkI++d0EEeV+De6x86I0fkN8/13yws76JC+9bwOvrtnHjlw7l3EkHhN2knBCRnsBDwFBgLXCmO2w9dpsDcMJ1CVAO3Kmqf3Cf+wUwFeihqp1j9qkAZgATcIq0nqWqaxO1QVUfFJGFwPE4vx+/pKpWqMEYY4wxvvIU3n1YBmcasAzI+Vq3QYb2fFvCLBfyofp7U11Twt54yO8gn+y9y6eK9WmFFeQXL87duQrQll0NfP3Pr7Fi8y7uOHs8XxybX9d+wK7Bqctys4hc497/Qdw2G4HJqtogIp2BpSIyU1U3AE8BvwNWxO1zAfCxqo4QkbOBW4CzYjdwPziI2gz8PfY5Vd3mw+szxhhjjAE8FKwDEJHDE3wNF5G04V9EBgEnA/dk29hMBF0s7N0bZzLv1Nt598aZgZ0j38RXz48W3stlAb7nr5nDPVMe5vlr5qTddkzPDa3CfNBSvQ/J3rt4uSpy54tcFrlrasrNeQrQ2q21nHH3K6zZWsufpk5sb8Ed4DTgfvf2/cCX4jdQ1Ua3XgtABTG/+1R1nqpuTHPcR4HjZf/iAQtxRpUtBLYA7+F8CLDFfcwYY4wxxjdeF/y9C5iHszzcn9zbjwDLReSzafb9LXA1OSrek4vw4zWIFZvY6vnRwnu5/BCjqa6JVbPWA7Bq1nqa6rwFumiIDzLIp3sfEr13qeSyWn3WrFp9aBZ/sJ0z7n6FXfVN/O1bR/Lpg/uE3aQw9I0J35uAvok2EpHBIrIYeB+4xe11T2Wguy2quhfYAfSK3UBVD1TVYcALwBdVtbeq9gJOAZ5v6wsyxhhjjEnE65z3DcAFqvo2gIgcAvwMJ5Q/RpI/UkTkFGCzqi4UkU8n2eYi4CKA0t7dMmp8vGjQCXo4ezSIFXP1+GRiC+/Ff4jReOluOvTsnOYIqcVeD537dmr1XHmncoafOIRVs9Yz/MQhSYfOQ/Kh9UEMq9/vw5wkhQnbWrQw6Gr1vvKxyF3stTC2Q/v5N+bV7Pe2cOkDC+neqQMzLvgkw6uz+7cXot4isiDm/nRVnR67gYi8APRLsO91sXdUVUUkYVFVVX0fGCMiA4AnRORRVf0oy7ZHTVLVb8Wc61kRudWnYxtjjDHGAN7D+0HR4A6gqu+IyChVXZ1mCaKjgFNF5CSgEugqIg+o6rkxx5oOTAeoGDawTZXsY3snczUn28/q8bka2u1XWI2+5tgPMTpUd+H1s+7O+n2PvR5ERJ+/Zg6fvXlKy/Otl45L7Plr5rQE/Nh940Xf92zfl0w+zMnmemlvc+Njr4WJEycW/CoXfnp4wftc+9gSDurbhfu+cQR9u1aG3aRsbFXViak2UNUTkj0nIh+JSH9V3Sgi/XHmnqc61gYRWQpMwRkOn8yHwGDgA3eKWDecwnWJbBCR64EH3PvnELu2pTHGGGOMD7yG97dF5G7gH+79s4B33Gq8Sccuq+q1wLUAbs/7/4sN7tmKH1LstQfUL5keO5fzrzM9f1sD7KjrT6Xx0t28ftbdgP/v+6pZ6/cL6+l63FsNrU8T9MGf3vhcLwVYkEE+m974dev8aUuBU1V++8IKbn9xBVNG9uaucw6nS2Xq67sdmAl8HbjZ/f5k/AZu7ZUaVd0jIj2Ao4HfeDzuqzhLv/1fiqVSvwr8GKeivQIvuY8ZY4wxxvjGa3g/H7gU+J57fy7w/3CC+3H+Nyu9RHOB82k4e9hBPVOJ2us1yHbo2Tmw9z3d8Ph4mQytTySbIB/W9VYww+qzmRO/dat/7ShQDXubufaxJTz2xod8ZcIg/vd/DqO81GvZkqJ2M/CwiFwArAPOBBCRicAlqnohMBr4lTukXoBfquoSd7tbga8BnUTkA+AeVf0JcC/wVxFZCWwDzk7WALeq/LSAXp8xxhhjDACSvCMh9yqGDdSBv7gs7XbpiniFtYRboQX2TKULs+ne97kn3rYw3fDYWNWjeupX/naS9wbGSLWcXKbybck5L/I9yK/52nUZXQsTRXRBHv1flWsf1zZy8QMLeW3NNq444SAuP34EaaYsFQwRyehaMMYYY4xpr1L2vIvIw6p6pogswRkK2IqqjgmsZQl4rbydq+Be7GE9XvzrjQ+1fr/vUtL2cOJXcIf8Xjs+mYLpjTdprdlayzfve50PP97D7WeP47RxA8NukjHGGGOMCUG6YfPRYYCnBN2QdJIF9zB62dtbaE+mEENttvwqcpeNTK75ognxY3L6OWHemLtyK99+YCGlJcKD3zqSI4b2DLtJxhhjjDEmJCnDe3TtXFVdJyL9gE/i9MC/rqqbctA+IHlwz1VlebDAnk57C/Jhvd62XvMFVeAukbq6sFuQc399dS0/eeodhldXce/Xj2Bwz05p9zG5JSJ3kmBUWpSqXp7D5hhjjDGmyHkqWCciFwI3AP+HU+znThH5mar+OcjGQeoe91xUlrfQnrn2GuSDfq1+XfMF2Ru/cmXYLciZxr0Rfvb02zwwbz2fGdWH288eZxXl89eC9JsYY4wxxvjDa7X5q4DxqloDICK9gFeAwMJ7uvntQVeWt9Duj9j3cW6I7ciFoEO839d8QYb4IrdlVwOXPriQ19d+zMXHDuPqz42iNIvaDyZYqnp/2G0wxhhjTPvhNbzXALti7u9yHwuE18J0QaytbaE9f3QureforisAeHnnyJBb412QIw+CuOYLfkh9kVj8wXYu/utCPq5r5I6vjufUscU/aqVYiEg18APgEKAy+riqfia0RhljjDGm6KSrNv999+ZKYL6IPIkzv+80YHEQDfIa3KP8CjEW2vNbIYZ4CKY3PsgCjXnbGz9kSNgtCNQ/XlvPDU++TXWXCh695FMcOrBb2E0ymXkQeAg4GbgE+DqwJdQWGWOMMabopOt57+J+X+V+RT0ZRGPKy5qDOGxaFtwLh4X43Mi7EF9dHXYLAlHf1MyPn3ybhxa8z5SRvbnj7PH0qMrt6hnGF71U9V4Rmaaqs4HZIvJ62I0yxhhjTHFJV23+p14OIiJ3qup3/WlS7lhoL1zREA+FFeQLrZhf3oT4hQvDPX8A1tXUcumDb/D2hp1cdtxwvn/iwTa/vXA1ud83isjJwAbA1vUzxhhjjK+8znlP5yifjpMzFtyLh/XGB8/mxfvruaWbuOrRtxDgT1MncuIhfcNuksnOjSLSDbgSuBPoClwRbpOMMcYYU2z8Cu8Fw0J78bIQnxt50xtfgBr2NnPLs8v589w1jBnUjd9/7XBbv70IqOrT7s0dwHFhtsUYY4wxxSvvw3vzHv8qa1twh6a6Jso7Ffea0WEOqc/m/S2mEB+pb6CkssK/k3Ur/AJua7bW8t2/v8HSD3dy/qeGcu1Jo6goKw27WSYLInK1qt4qInfiFHNtRVUvD6FZxhhjjClSfoX3QCZqvnvjzJY1rUddf2pWxyqW4B4bTDN1x7SVzH9mG0ee1JPLbx9RcD3UbZHL3vjnr5nDqlnrGX7iED5785Q2H6fQQ/zmO/5B7bwlVE06jD6Xn+3PSUaM8Oc4IVBVHn/zQ370xFLKy0qYft4EPvuJfmE3y/hjmft9QaitMMYYY0y7kFF4F5FOqlqX4KnbfWpPi+Y9jdTMXg5AzezlWa1tXYjBPZuQnkh9bTPzn9kGwPxntlH/v81Jz1GMoT7oEN9U18SqWesBWDVrPU03ZD/CoRBDfPOeRtbMWwJA7bwlRC463Z8e+JUrsz9GCHbUNXHdE0t4evFGPjm0J789exwDuncMu1nGJ6r6lHuzTlUfiX1ORL4SQpOMMcYYU8Q8hXcR+RRwD9AZGCIiY4GLVfVSAFW9z++GlXbsQK9jD27peW9LcC+k0O53WI9XWVXKkSf1bOl5r6xKPlw3UVuKJdAHFeLLO5Uz/MQhLT3vfk5NKKQQH/vvtmrSYf4Nnd+xw5/j5NCrq2q48uFFbN7VwFWfO5hLjh1u1eSL17XAIx4eM8YYY4xpM1Hdb5re/huJzAe+DMxU1fHuY0tV9dA0+w0GZgB9ceYDTlfVpL30nQ/qp+PumtrqsbbOec/34B50WE+mvrY5ZXD3qi3h9+4JDy5U1Yletx92WJXe+HjKSyxrfof4XNQUKIQQH/vvNtGc+DVfuy6ja2GiiC7w8H9VPqhvauaW597lL3PXcmDvKn571jjGDrbifsmISEbXQj4RkS8AJwFnAg/FPNUVOERVPxlKw4wxxhhTlDwPm1fV90Va9Ro1e9htL3Clqr4hIl2AhSIyS1Xf8XreYgvuYYX2KD+CO2RWFC4m0Jb4cnIf+d0TX96pPPAAn8ue+LZ+eBa7T3uqTr/o/e18/+FFrN5Sy9TJB3DNF0bRqUPe1wUtaCLSEyc4DwXWAmeq6sdx2xwAPI7zf1A5cKeq/sF97hfAVKCHqnaO2ed84DbgQ/eh36nqPXGn34Az3/1UYGHM47uwpeKMMcYY4zOvf1W+7w6dVxEpB6axr1BPUqq6Edjo3t4lIsuAgYDn8F4Mwg7sQUsV5KNF3Kr6dgIYn9uWeedXiPeraJ0XQYd4PwtGQpYhfsKErM8fpPqmZn4z6z3+NGc1/bpW8sAFR3L0yN5hN6u9uAZ4UVVvFpFr3Ps/iNtmIzBZVRtEpDOwVERmquoG4Cngd0Ci/6gfUgz3MvYAACAASURBVNXvJDuxqr4lIkuBz6nq/b68GmOMMcaYJLz2hF4CXIYTvD8Exrn3PRORoTjhbX4m+2Uqn3rdj+66ouiDe7zY1xxbxK32o0R1DvNPNj+z/YrW1TX52bSkxvTc4Pt1v1/ByD2Nvh07GuIzsmWLb+f324K12zjp9jn88aXVnHXEYJ674hgL7rl1GhANzvcDX4rfQFUbVbXBvVtBzO8+VZ3nftDcJqraDAwWEX/WNDXGGGOMScJTz7uqbgXOaetJ3J6OfwLfU9Wdcc9dBFwEUNGna1tPAeRPcG9vgT2Ro7uugK6wxC2SV9W3k6cAH3s99B4Q3t/CbemJD7JonRd+9sT7UTDSV+vXh3v+BHbsaeKW597lb/PXM6hHR+ttD0/fmPC9CafGyn7cGiz/AkYAV7m97umcISLHAO8BV6jq+0m2WwPMFZGZQG30QVX9tcfXYIwxxhiTVsqCdSJyJ06huYRU9fK0J3CG2T8N/DvdHzKJCtZ5lQ/BvamuieP6rQ27GXknWiTvnJGvvamqh3vdLxcF67zKJMTnomidF7Ehvq1z19u6XzpzT7wtbZGy2A9yJsCEfClYp6r8a8lGfvrUO9TsbuCbRx3IFSceRFWFzW1vCxFZB2yNeWi6qk6P2+YFoF+C3a8D7lfV7jHbfqyqPVKcbwDwBPBFVf0o5vHdcXPeewG73aH2FwNnqepnkhzzx4keV9WfJmuHMf+fvTuPs6ouHzj+ee4MszCI7PumQICijDappLiQuIW0/IqyEinL0lJ+2q+ksszSsjL9Yf20TAu1lXYkVCgSoRADGQQFZFHZBoZFBC6z3+f3xz13uHO5+z3nbvO8X695zb3nnuU7M+feOc95vt/na4wxxqQq0dXmqkx2LsEKd48BG7zMQORD4P7S159m5cKDrLuqF7fMGZXr5uSVsCJ5gVy2IxOpZOLzIXCH4++LebetSnvsei4z7k4A9wgEq83nrCFhtu47yjfnv8KyzfsZP7g7P7/uXZwx5ORcN6vQ7U90I0dVL431mojsFZGBqlonIgOB+gT72u2MU58E/CHOegfCnj4KfD/OuhakG2OMMcZzcYP3UAEeEfmwqnaYr1ZEPpzE/s8HrgXWiUits+yrqrowncbmq5qSjTy88CAAKxcepPE77kzHZvKPV/PEe6XlWEvHsetf9CaT7rlRub0h5m9q5f/+uYWfLdtGRZcS7pp2Op84b7jN254f5gPXAfc63/8auYKIDAEOqGqDiPQELgAeiLfT0A0B5+k04hRpFZG+wJeB04GK0PJYmXpjjDHGmHQkW7DuK0ku60BVl6uqqOqZqlrtfLkauOcy6x4qblZRVcK5V/UC4Nyrelng3gkUSl2D0Dh8gJFThnHW4P0JtshTXbvm5LCBgPLH1Tu55L7neOi5rVx95iCWfPFirnv3CAvc88e9wBQR2Qxc6jxHRGpEJDS12zhgpYisBZYC96nqOme974vITqCriOwUkW8629wiIq8429wCzIzThl8BG4FTgLsITln3H/d+RGOMMcaYxGPerwSuAqYTnEc3pDtwmqqe42ZjUh3znuvAPVJobLeJ7uOjX0w4zjlcPo15j6cQsvCR4/CzMUd8PMmMeQ9XI6LZHvP+4usHuWfhBtbuOMSEoT248+rTOHtYzKHUJk0iktK5kI+cn+GdIvKyqp7pLPuPqr4r120zxhhjTPFINOZ9N8Fx79OA1WHLjwC3etWofBcr62qBe+dUCF3pI8fhez1HfCHbUn+Ue5/eyN837GVA9wp++OEJfOCswfgs025iC80LWSci7yX4v7NXDttjjDHGmCKUaMz7WmCtiPxaVbMzaXWScpV1L5Tu0ib7CiGIj2RB/HE73zrGnL9v5o8v7aRrWSlfunwMnzr/FCrL7KacSehuETkZ+CLwI4K90zrtDW5jjDHGeCNu8C4i81R1OvCSRKn2HOoemG25DNyta3xuFNLv/YLumwsqgIfgeyqvA/g+3s2fvuftRh5+bgu/fnE7IsLMd5/C5y8ZSe9u5Z4d0xQ2ERlBcArUGuBzBOeOHww8pqqXJNj2YuB/VHVqgnVmqurMZNbPhIjMBBYlOe+9McYYY3IoUbf5Wc73DcCXwpYLcabNKUYXdN/Mg7O2sHLhQc616eCyopuvmUmV2/nwDc0F93u3LLzLhg93fZe7DjXwk+e28rv/7KBNlek1Q7l58igG9ah0/VimaD1OsMv8MuBK4DSO/98sFDOB9QS7+htjjDEmjyXqNh+aJmeUqr4Z/pqIjPWsVXHkIuseyrivtOngUpZpxtzvD3jye89WJt+CeJdsiDlLV8o27z3CI89v4y+1uwD40DuHctPFIxnaKzcV7U3BKgUuB+oITg93LcFeahc6r/0HuFFVm0TkCuB/gWPAcgAR8QGbgHer6j7n+WvAxCjH6i4ifyOY4f8ncJOqBkTkGuCrBG+o/01Vb3f2fcJyESkBHiPYW0CBnwM7nOe/EpEGYKKqNrj6WzLGGGOMa+JOFSciN4rIOmCMiLwc9vU68HJ2mphboeDLpoNL3YOztnB99WoenLUl7X1UVfmYenVw2uSpV1e48nt3o12pKsRaCbmczeEEx45ltLmq8u+t+/n04/9hygPP89TLu/n4ucNZ+qVL+O4Hz7DA3aRjDLBXVccBhwlm3IcDH1HVMwgG8DeKSAXwM+Bq4J3AAABVDQC/BD7u7O9SYK2q7otyrHOAmwlm9kcCHxSRQcD3gMlANfAuEXl/rOXO48GqOt5p3y9U9Q8Ei9J+3JnK1QJ3Y4wxJo8l6jb/a+Bp4LvA7LDlR1T1oGetyhORAdctc0ZZxj1Jh/Y1n5AxT9dDD/fgB/cFqKryAdtZ1jAs7X3lsgdFuln4yGnesikvs/ApONbcyvza3cz99xts3HOEXlVl3HrpO7h24nB6VZXlunmmsO0ARonIYaAEKHe+rxIRIXhzvBvwHPC6qm4GEJFfAjc4+/g58FeCWflPAb+IcawXVXWbs/1vgAsIdtd/LhTsi8ivgAsJZtWjLf82cKqI/Aj4G7DInV+DMcYYY7IlUbf5t4G3gWuy05z48iETaIF7YqHaAL0GlnGwrtmVngrBwD1oUuV2gLSC+FAPitAY+lz8PVMpaLdo9jK2Lt7OyCnDuOzeSR63LLacF7TrktrNi417DvPrldv580u7ONLUyriB3fn+h85k2oRBVHSx97BxhapqCYCITCaYGe+tqhc6y94DfD7BDnaIyF5n+3M4noU/YdUEz5Np7FsiMoFgV//PAdMJ3jAwxhhjTIFIlHnvtAqxm3MyQoFvSLIBcLJjxMMz2wfrmvm/f1fTo683Gc5Jlell4dPtQeHmOPlksvAtx1rYujj499q6eDst38hdBh5ynIU/M/HEFm/5m5m/djd/fGknL+98m7ISH1eeMYCPnTOMc07pRTAZaoxrhonIRFVdAXyMYPfzz4rIKFXdQnAM/FJgIzBCREaq6lZOvBn+KMHu80+qaqwuSueIyCnAm8BHgEeAF4EHRaQP8Jaz3x/FWu48b1bVP4rIJueYAEeAkzL+bRhjjDHGcwUTvGcz617ogXtkgJ7JussahqVUZT8ys+1V4B6SbhY+1SDcq5kG4mXhu3Ttwsgpw9oz77kM3MPlJAu/O/r7/2hTK//YsJen1tax9LV6WtqUsQNO4o73juODZw+xrvHGS5uAz4vIz4FXgVuAF4Dfi0ioYN1PnIJ1NwB/E5FjBCvThwfL8wl2l4/VZR5nXz/meMG6PzsF62Y7z0OF6f4KEG25k3X/hVMYD+Arzve5wE+sYJ0xxhiT/0Q15d53nun2jgFa/dCMqK9Z8B5bKsF6qvz+AOPG1Lc/f6z2nUln4CPX+/joF1erak2yxz5zQhf928Lk5/fOZCx8PI3+Nq6vXt3+PNnfQSoSZeDzJXAPl0kA/68pP0jpXKgR0VXOZ9X+o00s2VjP4lf38vxr+2hqDTCgewVTzxzIB88ewmmDuqfdLpN9IpLSuVBsRKQGeEBVJ4UtuxhnnvdctcsYY4wx+adgMu/ZUkiBu5dBe0io2vuCpxqZenUFU/rsan/N7w/wkm9E1O3Cg9tsTcsW6kbv9vEyGSefbFvidaPPx8Adst+N/v7Fr/H8a/tYu/MQqjDo5Ao++q6hTJ0wiHcO64nPZ93iTWFxMuQ3EnusuzHGGGNMu4II3vOhUF0+yUbQHq5jtfegm2485AT0h3no4R4xs97h3c2z4Te3vcyCpxpd796ezjj5dLrap1LMLl9kqxv9j5ds5swhPbhl8mimnNaf0wd1t3HspqCp6r3AvVFeegP4S3ZbY4wxxph8F3ee91xoa2iO+9xL+Z51n1S53bXA3Xcw0P7Y7w/EWTMoPHD3+wMseKoRgAVPNeL3B9rbFt6+yGnZSPF8k9YTl8Vra3i7Vi48SKM/+enpIteNtm2qGfcOU9Kl0JZ8Pw+j8foG29FTRvPS16fwl8+fz61T3sH4wSdb4G5cJSJDReSfIvKqiLwiIrM8OEaJiKwRkQXx1lPVN1Q15eBdRHqIyB9EZKOIbBCRiem39oR93+r8XtaLyG+c+euNMcYYk0V5Fbw31h3ihWlz2Hj3fAA23j2fF6bNYdHsZbQca8lx63LHzaA9pMfXDwNww2feYtyYem668VDS24a60gNMvbqiQ2APx9sb6m4OhL4nvksQpmRXx4A3UVsj2xXexT9ecP7grC1cX72aB2dtifo8HZE/e6rd+C/ovrnggvgze+32LIjvVlFKj65WfM54qhX4oqqeBpxHsBjdaS4fYxawweV9hpsDPKOqY4EJbh1LRAYTLMhXo6rjCc5n/1E39m2MMcaY5OVV8N52tAmAA0s30XzwKAeWbgKC02Q9Omkei2Yv8+zY0QKlVLKlXvGii3zptlaq/trINz92gGeeDv7OQxn0ZD30cA82bOrHQw/3iLndpMrt9C05lnY7fW8rpduC6fcbPvNWUm2NbNekyu385raXYwbnkRnyQ/ua086YR7plzigeq31n2t33G/1tSQXw+XZjy5MAfoOX8Y4xoKp1qvqS8/gIwcB3sFv7F5EhwHsJTg3nOhE5GbgQeAxAVZtVNfm7somVApVOJf2ugI1nM8YYY7Isr4J3X+XxwlzbHlpCrws6jv3duni7K4FK+D5Cj0NBWuj79z+9ieurV/O/n9/MoX3NNPrb2r+HrxcS/jxawNfobzth+aF9sYcENPrbGLp36wnL6+tb8fsDHYLXaIFsaJnfH4CAIv5A+1fX+cGu5YOeb6EKqALeP6WMqkrpcIzQ48j9hh/vphsPtWfDI9sR2Y2dNGosdJ3fyLH6VpY93UQVwXmPrriyvD3bH+1nr6rytbfrhs+81aENkcE50CFD3qNvWUYZ80jpbh9+g6GmZGPM9RbNXub5ja10JBHA59VnjzHhRGQEcBaw0sXd/i/wZVLsgZSCU4B9BKeDWyMij4pIlRs7VtVdwH3AdqAOeFtVF7mxb2OMMcYkL6+mihORExpzyiVD8JX62Lo4mIEeOWUYl9076YRtk7Vo9rL2ebMheEOg18AyDtY1t38XH2icy6vQeqFCZJFF2SKLlIVeB9qX33xhbfsxf/R8dYf9h4quAVRUwGtbBgS3Paeeut3HGxbqIh6qBP/Qwz2A48XkBg7yUbc7wLSp5TwxupTuD/qRKInkNoGjt3bj8Kwqzp24r/0YFRXQ2AgDB/lY+WK/9v0C7fuOFN6OaG1R1aQHKteI6KqwNn5LYdUVZfzk0V4d9h15zMjp7cLbds39Z0YtJBdZFT5bFfKjiZyaDoLnzdnfvrLDspZjLTw6aV77808vm553lemjFbLbePd8DizdlPq5kEefVcY9+TZVnIh0A5YC96jqn1za51TgKlW9yZkG7n9Udaob+w47Rg3BeebPV9WVIjIHOKyqX3dh3z2BPwIfAQ4Bvwf+oKq/zHTfxhhjjEle3gfvjrUEx++FrCG97EU/YGga28UT2bZwa5zvZ0UsXwecEbGPUIrbF2P9QJzjJDoewJru0HUEnNoF2iO8Fmh5A7YdhqNAf2BIjH1HtjlRO8L/PqU4bU8lYOsjoiOAZtA34bXDcCxsv5G/pzVxXou1Ti9gf7LtSUOfDPZ/KtAzYll4+0P7Dq33FrAtzWNFk0nb42n/26RyLojIPuBND9pjcm+4qvbNdSMARKQLsAB4VlXvd3G/3wWuJfg5XwF0B/6kqp9w8RgDgBdUdYTzfBIwW1Xf68K+PwxcoarXO89nAOep6k2Z7tsYY4wxycurqeJSuZhPh4isUtXoc5q5t3/PMkhZ2r/bNzfStj8750NB/r0Kue3pyJfgzhQvCU5f8Biwwc3AHUBVvwJ8xTnOxQQz764F7s4x9ojIDhEZo6qbgPcAr7q0++3AeSLSFWhw9r0q/ibGGGOMcVteBe/GGGNMjpxPMDu+TkRqnWVfVdWFOWxTqm4GfiUiZQR74nzSjZ063fD/ALxEsPfAGuARN/ZtjDHGmORZ8G6MMabTU9XlBGtien2c54DnPNp3LeBJjxlVvRO404t9G2OMMSY5na3is9eZAtt/YSnk32cht90YY4wxxhiTorwqWGeMMcYYY4wxxpgTdbbMuzHGGGOMMcYYU3AseDfGGGOMMcYYY/KcBe/GGGOMMcYYY0yes+DdGGOMcYjIDbb/3O3fGGOMMbFZ8G6MMcYc53Vwavs3xhhjTFoseDfGGGOMMcYYY/JcXk0VJyIK0GVIX3xlXdLaR2DfAVqONNHlpHK6Duoecz0NKIc370/rGIPHdcPnk47HDSi7Nhw9YT2gw/LB47qhAdi96fiyQWO6UVIqMfczekwpPh9s2tAat13jTi+lxGlXW0DZ8Eprh9dKG5QuO9qQluPbNAP1VULfU0ujbhfehs2boh9/zLjSDm0LbwdAS6u2v66qcsIOYugjoiOAFoCRJWhV/E2PBsoAqN/ehP9wG1XdS+g3rPyE9RK9noqjbRUZbR+PBpT9m95qf95nTE8anJ8xvR0q/i317U+rRvUDif87bWktSf940QSU5jfrnOakfi5Enq/Z8HYgvb/x/h0NNBxupbJ7KX2GVia93eFWb86pxpb0PlOj0ZYM7vsGlOZduzruL5VzoU8fHTFiRPrHT2Dfvn307dvX9p+j/a9evXq/qnp3AGOMMaaA5V/w7hNG/+6uDssDDU34KhMHWYGGJrbOuKf9+VXPfobSrrGDnVV3PsvuJVuo6NeNxvqj7d/xCQQUX3kpA84fwe4lW+gxoJxDe5qovqIfMx84I+r+5t66jtpngsFR+Hqh5eHLvnnJcg7taaLHgHK++c8LOuzn2S/9i6cXNAJQUQEvbx4IwIXn7GVPXaB9vSunBi/yn17QyJVTK5jzcM8O+5l141snvNbjJ0fpe8+R9nX+B/ghsGZjf6qqfB22q6iAxkYYMNDH8y/2b18OwWV76gLt+452LAC/P0BVla+97alcpNeI6Crg0B0nceRzVQnXX9YwjEZ/G9dXr25f9ljtO6moOh6AJno9VcsPjwag5VgLXbq6FxyFLJq9jK2LtzNyyjAuu3cSLx8clNH+Nt49nwNLN9H7ojGMvWNa3HV37+uR0bFiqX/wt/hfWJfWuRDtfI0mdN5lauHR09Larsnfyu01S9uff2/VRZRXJXfDYcn+sWkdM5ENe/q7tq/WXYnfj+ECTU34yo9/htfPfQJ/7VpKT+pB65FDqZ0LNTW6atWqlI5vCoeIrFbVmly3wxhjjMlHeRW8lw3tpyMeuLnDsrr753F0xXq6TRzPwNumJ9xHaP1Bk0dRc9flCddvPdZMadeyE74f3XmIbkOCwcv5lespryqlyd+a8AK8yR/MMEeuF23bw/ua6N73xJsSV3V7Fb8/wP59bQwf0TEg3FffSlcnKAkFJ/EClcjXhrx/P+WvtHDw/ZWcNK+BVQG4J0rgH9puX30rffuVdlgeOnbkviOfRwb07xhat05Vz4za0ChOLRHd0gVazuhC/V96J1x/WcMwAB6ctYWVCw9y7lW9uGXOqBPWu/nCWg7WNdNrYBk/er462eZEtfzw6BMCbLcD+fD9ZRq8A7Q1NFNSmTiD71XwDvD6x762RlXPTnb9U0tEN0DM8zVcrBtJiUR7H6UbvEP0m3bJKLbgPRSoV1VPoN/MGe3Ly19vpqSsnFd+cFtK54IF78XNgndjjDEmtuz1PU1CqKt8KNMeaGji6Ir1ABxdsZ5Aw/sSZuAH3jad0d0nxs24hwutF/k9FLjD8UA8mQA+1mvRlkcL3EOqqnxRA/LwQDp83Xj7CSmpa8PnV3Y81YfmsV3wX1/F2Z8/xI/v7E5bjO1CxwsFNuH7izxuZCAfytI/vaCR1taDAMlHMEC38aXU338yvb7wNk3bWig/NXZAHArcAW6ZM4rG77RFzag3+ts4WNcMwMG6Zhr90deLJnLd5YdH03Ksha2LtwOwdfF2nmldyuv/3NkeyMeSSoDvdkY/mcA9CwKJVzmu6vQu7Ln/5Jjna+j8jDzv7rirNep7JlK6AX88Mx84g6a7E9/wC1cIgXvztlJ8SY42CTQ14a9dC4C/dm2HDHxJWftOUjoXjDHGGGM6q7wrWFd3/zy2zriHuvvn4assp9vE8QB0mzg+qa7zQFKBe+ux5qTbFLqgnnvrOm6vWcrcW9clvW06Msn2xSNtyo75wcAdoHlsF3Yt6INERkIRZt34FmeN3cusG9+Kv2KYqipfe7f+y64sZ/EzTWm1uWVsF645tYTJFx7gphsPRV0n1BsgXKyAvKKqhHOv6gXAuVf1Sjpwf3DWFq6vXs2Ds7Z0WN6laxdGTgneODhl8lBe/+dOIBjItxxrOWE/EOwK/+ikeSyavSypY4e4kXUvZLHO1/DzM/y8GzDQx/nv3JfwvI0M+KOdT+lKJXBPRiqfW16ou38eb97+VernPpHU+r7ycqqqJwBQVT2hPXDvuivpXvLGGGOMMcaRX8F7IBCRaW9i4G3TGfnE15LqMp+sVXc+y8LLf8aqO59Nepsmf2v7ePbaZ+rbu8cXktYhpWhlx4tmrRRaBwcD2GhBSyaBzZyHe7JmY39+/Eiv9oAqVX5/gD8tbGIHsOCpE49/042HGDem/oSgOp5b5ozisdp3Ru1SH9Lob+vweOXCgwCsXHiww2sAl907iU8vm84VP7iwPZAfOWVY1Ix5ZKY+VoCfa251mQ80pnfTJpbQ+Ro6D6Kdn3Me7sm/Vvdtrw+R6LwND/ivnFrR3oPEq5to6Ur0ueV1YB/eEyqURU9Gv5kzGP6973ToMm+MMcYYY1KXV8F7y9632x+HZ9qTzbiHxOsi2nqsmd1LgoHe7iVbkr7gLa8qpfqKfkCwGJ3bGbVci5VdjxXYJCvUldnpirw21XZVVfmYenXw+FOvrjiha/6Cp4KB28qFBzm0L/ngJV7GPTLLnky2PhSohwL5WF3mwzP1sQL8fJJJ8F3/4G9581Pfov7B37rYotiZ9vDzs2+/0pTO29CNpu/cd7KrbXVLos+teIG9m13mo2XRk5HKusYYY4wxJrq8KlgXmioOYOQTX0s5aA83bsDemK+FqswPvPBU3nXPlUntb3KfjUD0wnNeuarbq1k5jt8f4Kyxx39f0Sp5p1u9OzSWOFSdPpWq0mdO6KJ/W9gn7vFvuvEQC55qpNfAMg7WNccsUpeseNXow8e8h6rMpyvVonbZ7jK/e1+P9qrwVeedQb9bPprS9oHGJt781Lfanw//+TfwVRx/P7/+sa+lVJTqjDPL9E8L+8Q8V2OdH6mct5Hj3rOdeU803j30uRVZjLP1WDMLL/9Z+/PIWTbcCN5DhUCrqifQ55qPZBSMh3eZb2tuYuOcr6R0LljBuuJmBeuMMcaY2PIq8+6rDM6FnMr49nTU3HU5Ay48lbrntyXddT50YR0vcC/ErvSQXHY9ncA9vEtz+BR36bYxmoce7sH//bu6vQhdtG7tqQjPsgM88tXXO7zmlmxn3Nsaku+VsHtfDwKNTfhfCNZ28L+wLuUMvK+inKrzgvUJq847o0PgnolY52qs8yPReRuv+32+qbnrcq569jMnzKJR2rWMQZODN6wGTR6VdLHOZEV2l3fLjvlPsHHOVwBOdW2nxhhjjDFFLK+C99I+vRn+ve+4Or49mtZjzex5fhuQWtf5eLwoZpfNzF+o27BblbaBE4qHeaVH37K0itDFcsN3Tml/nOnNgHyw8e75vDBtDhvvnp/0Nm4E3/1u+SjDf/6NlLP2ibh1rsbrfr9Ux7vRVNfFCsxjBfZuZN3DC4em2l0+Uijr3tbcxOFNtaHF7n3oGGOMMcYUsbwK3sG9sZHxLlrdzlQVQzE7SC+7nkgo0Hr+xf4Aa9zef2iKuGSK0CUr0Rj3TLvMpyqTLvNtDc0cWLoJgANLN6WUgXcj+HYr4x4p03M1VqE7t29gJcuNKeLczriHG3jbdFeLzpWUldN9THXoafLTWBhjjDHGdGJ5F7wDtO6q8vwYsTJV8cS6wPaymF2+VbxOR1WVL/RzeNoX2c1u7W7eDMilksoyel80BoDeF41JOMd7ZJV5r4LvXEu1+71xv+jc0GkzGDvruwDbXN2xMcYYY0yRyuuS6YGGJk/HvruZqZr5wBk03Z29YnaFxKsbEKGseyLhheZS4ebNgFwae8c02r7YnDBwz2dtAfcLa855uCffue/EgnbFcMMM3K0y78YN1Whzu5eUFefNIWOMMcYYL+Rtmqnu/nlsnXEPdffPS3sfbl28pjKdXDzpdqcvlmAiVQEXhppHTvuWqXzuMh+vS3whB+4AG15pPWEaQzfkQ6Z90Xar12ZMMRGR/iLymIg87Tw/TUSuz3W7jDHGFL7cX7lGEWg6Xt346Ir1BBrSn2s6U5HzJ6c7NjXTgnaFGsBn0u5XXmnlphsPpb19o7+NlQsPAsVReC6edIrSRYrsMp9v8rUKfCbm3rou5vzsxpiCNRd4FgjdfX0N+O+ctcYYvXSGiAAAIABJREFUY0zRyMvg3VdeTlX1BMD7aePiaT3WzO4lwYxtJlXpi6WgXS4seCp6wJZMl/lEhedSla9Z90yK0uXEvvztKp3Nm2ThnwtuzXoRUghd5o0pYn1UdR5OnRdVbQWK9+6xMcaYrMnL4B2g38wZjHziaxlPG5fJRWysqvSpZt/dKmhXaNl3N9o79ero884nq1gKz8WTalG6aPI96w4dC8sVg/KqUk/nZzfG5IxfRHoDCiAi5wFv57ZJxhhjikFeV1cLHOyFb7A/p22ouetyWm+/JOMLa7cK2i08ehpXdXs1o31E8vs7Fu2KfJ4ONwL3ceNKeejhjkGl3x/gJd+IlPbjRuG5fM26hxRMUbo0s+5jxpW2T+HmxvmZL9z6fDHG5JXbgPnASBH5F9AX+FBum2SMMaYYFMcVsMeSubBOpiu8W5Xo3czAz7rxLc4au7e9GFjk83S41b4NGzqOeb/pxkOMG1PvWvG5YpNu4F4IWfdNG4IF69w4P2PJVc8WtwN36zJvOisR6SUii0Vks/O9Z5R1hovISyJSKyKviMjnwl57p4isE5EtIvKgiEiy+w2nqi8BFwHvBj4LnK6qL7v70xpjjOmMOkXw7urFrDMuNbzrfKbF6NLhRqDh9wd4ekEjECwGtq++tcPzZIuDha/ndgAUGvPu9wdY8FSwbdkuPpds1r3lWIsrx0s1614wMhzr/vSCxrTOz3wQ7eZeusUvjTExzQb+oaqjgX84zyPVARNVtRo4F5gtIqEP3YeBzwCjna8rUthvOxH5PNBNVV9R1fVANxG5KbMfzRhjjMlC8C4itzp3t9eLyG9EpCKV7d3I/LglsvI8pFaMLt8K1VVV+bhyavDPceXUCvr2K+3wPJmuyeGZUC8zl1VVPleLz7lt0exlPDppHotmL8t1U1JSCFn3cFOuCN4AKKTx77m4uecGy7qbAvQ+4HHn8ePA+yNXUNVmVQ1NYVOOcx0kIgOB7qr6gqoq8ETY9gn3G+EzqtrebUxV3yJ4U8AYY4zJiKdXvyIyGLgFqFHV8UAJ8FEvjxlLptn3aJXnl+wfm3QxOi8u4N0Iluc83JM1G/u3jydORWTm3uubE7koPpdM1r3lWAtbF28HYOvi7Rll4C3rHt/3/7dH2udrPF7deIp1c8+rrLubvYyMKUD9VbXOebwHiPqGEJGhIvIysAP4nqruBgYDO8NW2+ksS3q/YUpCXe6d45UAVtjCGGNMxrKRuioFKkWkFOgK7M7CMV0Xq/I8BIvRfW/VRcx84Iyo23o5VdzCo6dlHHiEMpiRwXiibsnhmftMqugn4vcH2qeGy7eMO0CXrl0YOSXYvpFThtGla5cctyg5hZZ1BzhWYMXq3JpporMTkRtEZJWIrNq3b1+um2O81Sf0t3a+bgh/UUT+7vTki/x6X/h6TvZcox1AVXeo6pnAKOA6EUn6rle8/YZ5BvidiLxHRN4D/MZZZowxxmTE0ytJVd0lIvcB24EGYJGqLkp1P627qijNcdV5iF4Zesn+sUzuszHuRXnoAr72mXrPLuDdqEIfCsafXtCYdLfky39wPhd/M/Mq+rEMHOSjX79SNjV4svu4Uqkwf9m9k2j5RktGgbtl3eMbMNBH337evHe85NZME9mUb13mVfUR4BGAmpqaRIGTKWz7VbUm1ouqemms10Rkr4gMVNU6pxt8fbwDqepuEVkPTAL+BQwJe3kIsMt5nNJ+gdsJFqq70Xm+GHg0wTbGGGNMQl53m+9JcKzYKcAgoEpEPhGxTntGpe2otwG6G11K060MnSg774Zsd6MPHc/NoCT8fBgwwMfKF/u1Z92zKZ2p4Qol4w6FkXUPPxf6D/Dx/IuF2yU8/D1iXeaN8cx84Drn8XXAXyNXEJEhIlLpPO4JXABscrrFHxaR85wu7zPCtk+433CqGlDVh1X1Q87XT1U1e1VWjTHGFC2v+59eCryuqvtUtQX4E8GpU9qp6iOqWqOqNSXdYmd73CxcF6oY79a6yV6MZyPz5mY3ei+PEUv4+dCzpy8ngXsuZDPrntXAPYOse/i50KNn4XSVL3T5lnU3JgX3AlNEZDPB6497AUSkRkRCme9xwEoRWQssBe5T1VAxmpsIZsi3AFuBp+PtNxYROd+ZUu41EdkmIq+LyDb3fkxjjDGdldfR5HbgPBHpSrDb/HuAVR4fM64lX17K0RXrGTR5FDV3XR533VV3PsvuJVuSWjffhILrTLvSR9tntmzY0MrNF9byo+ers3rcdLLumbDu8olt2tDKhefsdT37nqu53d1mWXdjQFUPELzOiFy+Cvi083gxcGaM7VcB45PdbxyPAbcCqwHLuBtjjHGNp+ksVV0J/AF4CVjnHO8RL48ZT6ChiaMr1gPHK8bHEq26fDz5OmdzKEuebpCS6faZOljXzKF9yfeUyFS2A/dsK4Tu8rHsqQuwrz6/pltMVb5+ThhjXPW2qj6tqvWqeiD0letGGWOMKXye9+NW1TuBO1PZJtDUhK/8xKxdpoXrfJXldJs4vj3zHm/8eqi6fCjznsxY91DxunwVLQAPz8ynE6A3+b0txNVrYBk9+hbGDDstx1IvWOdG1r2toZmSysS/o0LpLh9L/wHuFqwrlqy7m5q3leLL8E9nXeaN4Z8i8gOCQwVDc8qjqi/lrknGGGOKQd6VP66f+wT+2rVUVU+g38wZru9/4G3TCTS8j9NPOZRw3WjV5YtNJgHM3FvXtVfQ96IQ37CxlXz3Ke8K/EXKJOu+aPYyti7ezsgpw7js3klJbeNG4L7x7vkcWLqJ3heNYewd0zLenys8CNxPOknYuyfArBvfcn2O92zJ90J1dffP4+iK9Z599hrTiZzrfA+vmq/A5By0xRhjTBHJrypQAcVfuxYAf+1aAk1NJ6ziRjElX2V50he8qQbunaVbrJdz14eUlGYvg5dJ4N5yrIWti7cDsHXxdlqOtSTcxq2M+4GlmwA4sHQTbQ2xhxcUcnd5gCNHgrODPb2gEb8/kOPWFJ/wIUWxPnuTYVl3Y0BVL4nyZYG7McaYjOVX8O4TqqonAFBVPSFq13mTH0Jz1wOezV2fLZmOc+/StQsjpwSr4o+cMixrU8aVVJbR+6IxAPS+aEzMrvOF3l0eoPvJwaDwyqkVCWdDSEaxdJl3K+vuqyy3z15jXCIi/UXkMRF52nl+mohcn+t2GWOMKXx5F3H1mzkj5pj3kEzHvods2NOfcQP2ZryfSJmOffd6HLlbZj5wBk13F0ZbvXbJN87jkm+cl1Tg7mZ1+bF3TKPti7HHvBdD4A4wbFgpT/6+lyuBey5ko0dOoKEJX2X6f4NkPnuNMUmZC/wC+Jrz/DXgdwSr0BtjjDFpS/pKWEROuKKLtswNxXDxmO7F+txb13F7zVLm3rou8cp5oNADdzeqyy+avYxHJ83jn996IeG6XkwLl0yxumLgVuBeLFn3cHX3z2PrjHuou39eWtuHhiNl8tlrXeaNaddHVecBAQBVbcWmjDPGGOOCVK6GVyS5LCvcGPsO+TU/cjbGkZvj3AjcUxnvnu353Isl617ovC5UFz5e/eiK9QQa0huvboxxjV9EehMsUoeInAe8ndsmGWOMKQYJg3cRGSAi7wQqReQsETnb+boY6Op5CwtYqhftxTSOPN+5NZ97rsa7J2KBe3TFmHUPTYEJ0G3i+JS7zrtxI9Sy7sZ0cBswHxgpIv8CngBuzm2TjDHGFINkosPLgZnAEOCHQOgq7QjwVW+alZxcjn1vPdbsydzvNo78uIBHRcXdCtxDLrt3Ei3fiD/Hezaz7sUYuLcFNCvHcVu2pocLTYGZyZh3Y4w7VPUlEbkIGEPwmmmTqiaehsQYY4xJIGGEqKqPA4+LyH+p6h+z0Ka8t+rOZ9m9ZAuDJo+i5q7LE66fagBvgXvQm68e48FZW7hlzijX9ul24B5igbu3NrzSmvEc78WYdQ9ngbsxuSUiH4zx0jtEBFX9U1YbZIwxpuikMuZ9iIh0l6BHReQlEbnMs5YlKdtj31uPNbN7yRYAdi/ZQuux2HNrh+ss87+7beXCgzT63anz41XgHk+2x7kXM5vjPcjNOh3WZd4YV13tfF1PsLL8x52vR4FP5bBdxhhjikQqwfunVPUwcBnQG7gWuNeTVuVIMhfFpV3LGDQ5mAkeNHlUUl3nQyyAT925V/Wioqok4/10hsC9WLPuIZnM8Z6LrLu93xPrtstuxpjioaqfVNVPAl2A01T1v1T1v4DTnWXGGGNMRlLpnx1Kr1wFPKGqr4hIXqRc3Br7nqyauy6n9fZLUgrcTeqGn9bV1S7z2WSBu7vGnV6aUZd5cyLLuhvjmaGqWhf2fC8wLFeNMcYYUzxSSWOtFpFFBIP3Z0XkJJw5TItJsl1S0w3cLRuXPJ8703pnPetugbv7SnzpB4nFlHXPp6ktjTEx/UNEnhWRmSIyE/gb8Pcct8kYY0wRSCU8uh6YDbxLVY8BZcAnPWlVGtwa+w7eXyBbAJ89Fri7qICmhAsp9iJ16cqHrLt1mTfFSlW/APwUmOB8PaKqNlWcMcaYjCUdvKtqgOB0cXeIyH3Au1X1Zc9aVgCSLVYXjQXw6Uu2gJ0F7i4qwMA9V2K9tzP5vADLuhuTiIj0EpHFIrLZ+X7CWBsRGe4U3K0VkVdE5HNhr71TRNaJyBYReTA0NFBEvikiu5xtakXkqkRtUdU/qeqtztef3f1JjTHGdFZJB+8ici8wC3jV+bpFRL6TxHY9ROQPIrJRRDaIyMT0mxufl9n3yAvvVXc+y8LLf8aqO59N+xhL9o+1ID5FD87awvXVq3lw1pa46y0/PJqWY9mbVtcCd2+lM897PmXd3fi8KCaWdTcemQ38Q1VHA/9wnkeqAyaqajVwLjBbREIf4A8DnwFGO19XhG33gKpWO18L4zVCRD7o3EB4W0QOi8gRETmc4c9mjDHGpNRt/ipgiqr+XFV/TvCf2tQktpsDPKOqYwl2H9sQszGZJaYAbwL4yAvvdKeLi8UC+OQ0+ttYufAgEHsKueWHR7P88GgWzV7Go5PmsWj2Ms/bZYG790LzvOe7aO9lNz4vbHo4Y5LyPuBx5/HjwPsjV1DVZlVtcp6W41wHichAoLuqvqCqCjwRbfskfR+Ypqonq2p3VT1JVbunuS9jjDGmXaolwcKjhpMTrSwiJwMXEpzvNPRP81C8bfLtojDahXcm08XFYgF8YhVVJZx7VS8g+hRyoW7yLcda2Lp4OwBbF2/3NANvgXv2pDLPez5l3b34vChk6WTdReQGEVklIqv27dvnQatMHukT+ls7XzeksG3/sCrve4Cod71EZKiIvAzsAL6nqruBwcDOsNV2OstCviAiL4vIz6N1x4+wV1VjJiqMMcaYdKUyVdx3gTUi8k+C08ZdSPQuaeFOAfYBvxCRCcBqYJaqejqvm5tTx20+PJRBk0exe8kWBl54avuFtxfTxS3ZP5bJfTa6tr9CF4hyjX/LnFE0fqctZuAO0KVrF0ZOGcbWxdsZOWUYXbp6M72uBe7Zlck879kQ7wZcJp8XlnUHVX0EeASgpqYm9TEUppDsV9WaWC+KyN+BAVFe+lr4E1VVEYl6rqjqDuBMp7v8X0TkDwna9DDwbUCd7z8EPhVn/VUi8jvgL0Aoy4+q/inBcYwxxpi4kg7eVfU3IvIc8C5n0e2quieJ/Z8N3KyqK0VkDsGA/+uhFZy76jcAdOkevJnddZdwbHDur88CDU34KsupunEGA1rnUvf8Nlbd+Sw1d10OpD9dXDyhAKCzBvHh5wMEx7hHzvUeL3APuezeSbR8o8UC93TkSeAeeS4kK5+y7uE6e8bdGDeo6qWxXhORvSIyUFXrnG7w9Qn2tVtE1gOTgH8RLMobMgTY5ay3N+wYPwMWJGhmd+AYcFn44QAL3o0xxmQk1TTWuwhm3C/keBAfz05gp6qudJ7/gWAw305VH1HVGlWtKak8nhXKNLuTaYap7v55bJ1xD3X3zyPQ0MSe57cB7oxxT0YxdaNPpTBf+PkAsce2h8SrKG+BexryJHCHE8+FZLrN5ypwL4R53fMh626F6ozH5gPXOY+vA/4auYKIDBGRSudxT+ACYJPT3f6wiJznVJmfEdreuREQ8gFgfbxGqOono3zFy9QbY4wxSfG02ryTmd8hImOcRe9xts2KdC9WAw1NHF0R/N8c+t5t4nggu2NWi6EavZftz/ZUcGCBuzHG5LF7gSkishm41HmOiNSIyKPOOuOAlSKyFlgK3Keq65zXbgIeBbYAW4GnneXfd6aQexm4BLg1XiNE5B0i8g8nq4+InCkid7j2UxpjjOm0UhnzfhVQ7cz3jog8DqwBvppgu5uBX4lIGbAN+GSyB8xV93lfZTndJo7n6Ir1dJs4Hl9lOQNvm06g4X2cfkrcenuecHMsfJO/lfKqVP7s6XEraI9WmA4scHedy4F7oKkJX3n0fVbsTW/ceqIx715l3RO9ZwrhBptl3U1noKoHCCYJIpevAj7tPF4MnBlj+1XA+CjLr02xKT8DvgT81Nn+ZRH5NXB3ivsxxhhjOkg1iusBHHQeJ6w2D6CqtUDM4jNeS7d4XShY91UeD0B8leVs2NOfcQP2xtnSG26MhZ976zpqn6mn+op+zHzgDLea1oGbgczw07qeMN49F0E7WOCeivq5T+Jfs5aqsybQb2bHa950A/dxp5cy5+HYBZ69Ctyz8Z6Jxc0u88aYrOqqqi8Ge9+3a81VY4wxxhSPVK6kQ9Xm5zpZ99XAPd406zg3Khunm3UKD9zD5fKiOt2u9E3+VmqfCdbuqX2mnia/u9cRke1yoy6AL+LszFW2PdeBe6CxKcaaLvAg4+5fsxYA/5q1BJqOtz3dwB2gxJfc54Cb53Uy7xnLuifHsu6mk9kvIiMJFqlDRD4E1MXfxBhjjEks3WrzSnLV5l3hRvd5N6ePA3KWgQ8JDxqSycaXV5VSfUW/9iyiG13nYwUuq+58lt1LtjBo8qj2yvyZ6qzd5Osf/C3+F9ZRdd4Z9Lvlo+4e0IMx7r7ycqrOmtCeeQ91nc8kcE8klHV3O0vuxXsmWZZ1N6agfZ7g1IZjRWQX8Drw8dw2yRhjTDFI9Wp0IsHKrOps+2fXW1RAch3AhyQbyM984Aya7s5szHuiTGPrsWZ2L9kCOJX505zbOlxnDdwDjU34XwjWUfK/sI7ADR/AV+FSwO1hcbp+M68lcM10fOXlngbtcDxwPyFLnuF5HhLvPVMIWfd8YFl309mo6jbgUhGpAnyqeiTXbTLGGFMckr66FZGHgFHAb5xFnxWRS1X18560LEI+Zt8hfwL4kMiAIjKYTzWgSTVAKe1axqDJo9oz75kE7kfbKjpt4A7gqyin6rwz2jPvrgTuWaoon43APZyXWfJsZtyh+KaHM6azEZHewJ04yQ4RWQ58yymoZ4wxxqQtlavSycA4VQ2N4XoceMWTVsVgAXwws51KQJyL7GDNXZe7knFPRsuxFtfmc8920A6JC9P1u+Wj7mXcszgVXDYC98gidW70LEmWZd2TU/lGA3SxKQhNp/Nb4Hngv5znHwd+R3D6OmOMMSZtqVxhbwGGhT0f6ixzj2ZnWjg3slGRsjFGddWdz7Lw8p+x6s5nPT9WptwI3DUQ/3xYNHsZj06ax6LZyzI+Vj4G7iEWuENbxLkQq7p8trPkbiumrPuO+U+w6vdfY/PyJzNuhzEFZqCqfltVX3e+7gaskIUxxpiMJbzKFpGnRGQ+cBKwQUSeE5F/AhucZa5prN/FjvlPxF0nn7twehnAnzCW3IVq7vlu/6a3YgbmLcda2Lp4OwBbF2+n5VhL2sfJRTf5Qp4KLh6vMu4bXmll1o1vAd5NC5csy7on1tbcxOFNtQAc3L6WthYPZ0wwJv8sEpGPiojP+ZoO5P9dd2OMMXkvmSvt+4AfAt8AriQ4juubYY9ddXhTLW3N8S/0wgP48KmoUuFF9j3Q0ORZAB8aSw5kPJa8kMQKzLt07cLIKcGOICOnDEur63w2poFra+h4k8WNoD2lqeOKIHAPeXpBI35/boufxQrc3biZ5nXWPdXPykxulJaUldNr2AQAeg2bQIl1nTedy2eAXwPNQBPBbvSfFZEjInI4py0zxhhT0BL2MVXVpdloSEj3MdWUlCV3oVc/9wn8tWupqp5Av5kzUj6Wm+Pf6+6fx9EV6+k2cTzcNh3A9XHw2RxLni/iBeaX3TuJlm+kN+Y9G9n2jXfP58DSTfS+aAxj75jmSuCe9NRxRRS0h1w5tYKlOj4rx0qFF1Mjui3Tz8p0jL7gWtpaplvgbjodVXW1V6IxxhgTkjB4F5FfEJwaLpG/qOr8TBpT0W8wQ6cld2FZ/noz/tq1APhr1xJoamqfUzoVbgTwgYYmjq5YD8DRFesJNLwPX2W5J4XsCjFwT7XIXkifMT257N5JcdfJ18C9raGZA0s3AXBg6SZ2XleJryKzfSY9dVwRBu7jTi/l8h+c32FZkz87xelComXd3Zoa0cuse6CpKeXPykyHJ4Wmh7PA3XRGIiIEi9SdoqrfFpGhBMfBv5jjphljjClwyVz5zk1yX2+k3wyHJH/BWFJWTvcx1RzeVEtV9YS0AveQTAN4X2U53SaOb8+8+yqPtyXfppLLtvCsZKrE5259g2yObS+pLKOs70k07ztCSa+TXSk6l9TUcUUYuAMcpbLD87m3rmufFm7mA2dkrR2R3Jga0etil77ycqqqJ7Rn3jP5rDTGJOUhIEBwlp5vA0eB/wPelctGGWOMKXxJd5sXkd75Nkfp0GkzONpnuisXo5kG8ANvm96ecY/UWQP4yKwkqc1u4KpsF6Vra2imed+R4OODbxNobHIlgI85dVwWg3bIbuAeqcnfSu0z9QDUPlOflenh4hWpy6fhLLFqefSbOSPp3kluZd2N6cTOVdWzRWQNgKq+JSK5/4AwxhhT8FK5An9BRH4vIlc5XcLyQrf9GfZFDpNpEbtogXvIhj39szKdXD6JLLJHMBORVdkoShdp974e7D3aj6rzghnhmFnyNOUycK/Y68tp4A7B6eCqr+gHQPUV/XIauIekG7hn8zPBMu7GZE2LiJTgDDkUkb7k4P+fMcaY4pPKVe87gEuBTwEPisg8YK6qvuZJy1LQdZdwbHB25ojPVGfLwodnJec7WfhsyfXc7TGz5G4q0m7yicx84IysZNwLSa7ndQfLuhvjeBD4M9BPRO4BPgTckdsmGWOMKQZJX41r0GJVvYbgNCjXAS+KyFIRmehZC5Pk1vzvXkwhF6mzZeFz0Z04X+Zu9yxw31feaQP3kGwE7l7O6d6ZPgOMyQYR6SUii0Vks/O9Z5R1hovISyJSKyKviMjnwl67R0R2iMjRiG3KReR3IrJFRFaKyIh47VDVXwFfBr4L1AHvV9Xfu/EzGmOM6dySviIXkd4iMktEVgH/A9wM9AG+SHA+03jblojIGhFZkFFrE8hmAB9oSG9++XCdLYjPhlx1k8+qAuomH2jO/H1iEiuErHtbi50LxnOzgX+o6mjgH87zSHXARFWtBs4FZotI6J/GU8A5Uba5HnhLVUcBDwDfi3Zw5+ZBLxHpBdQDvyF4fbTXWWaMMcZkJJXU1QrgSYJ3kHeGLV8lIj9JsO0sYAPQPd5KJS0ptMZj8QrYhc/pPtCZ0z0Tna0rvVeKPmiHgsq27/zzExzZUMtJ46oZ8oHszC3uJsu6u2fz8ic5uH0tvYZNYPQF1+a6OaZ4vQ+42Hn8OPAccHv4CqraHPa0nLAkhqq+ABClrM/7gG86j/8A/FhERFUjx+utJjjOXYBhwFvO4x7AduCUlH8iY4wxJkwqV+djVPXbEYE7AKoa9S40gIgMAd4LPJrMQTIdM+lW9h2CAfwJcyafMKe7O9mkYs/Ce/mzdZpse5YCdzeK0gWamziyoRaAIxtqCy4D72Xg7rZ8z7q3tTRxcHtwnvmD29daBt54qb+q1jmP9wBR//GIyFAReRnYAXxPVXcn2O9gZ11UtRV4G+gduZKqnqKqpwJ/B65W1T6q2huYCixK5wcyxhhjwiXMvIvIUxyvmHrC66o6LcEu/pfg2K+Tkm1Ut10Bjg5OP3hwu4BdeBY+3pzubggFucWSifc6aM82y7Ynx1dWzknjqtsz774yq3Qe4uZ7Ihs1OjJV0qWcXsMmtGfeS7qkfi6IyA3ADQDDhg1zu4kmv/RxhueFPKKqj4SeiMjfgQFRtvta+BNVVRGJeiGgqjuAM53u8n8RkT+oqpv/dM9T1c+EHe9pEfm+i/s3xhjTSSXTbf4+5/sHCf7D/KXz/Bog7j87EZkK1KvqahG5OMY67RdlZV1Pbl+eLwF8aG7k8AA+3pzubgm/wC+0QD6T4CT8fOjWv2vM9TpF4J4gaE923u5kuV2UbsgHZhB470dOCNwr65PbPvxc6DEge8F/IWXdo0n1vMhGhfnRF1xLW8v0EwL3k15vSOoYTvD2CEBNTU1hTC1i0rVfVWtivaiql8Z6TUT2ishAVa0TkYEEx53HpKq7RWQ9MIlgd/hYdgFDgZ0iUgqcDByIs/5uEbmD49dLHwcSZfeNMcaYhBJeravqUlVdCpyvqh9R1aecr48R/IcXz/nANBF5A/gtMFlEfhm+gqo+oqo1qlrTfOxtNi9/Ms0f5USZXpTWz32CN2//KvVznwA6Zrm8DNwjFUqXejfaGX4+HN17jEWzl3V4PVdd5PMtcK+f+yRvfvlr1M/N/P3i5dzt6Qbu0PFcOLSnibm3rnO5dSfyOnD3Ouse+ZmVT9LJuEdztKnVlf2YojSf4Ew4ON//GrmCiAwRkUrncU/gAmBTCvv9ELAkynj3cNcAfQlOF/cn5/E1Sf4MxhhjTEypXLFXicipoScicgoQt8+mqn5FVYeo6gjgowT/4X0i3jbhYyLdmDM43QA+0NSEvzY4TtNfu5ZAU7BNueymGgqO8yWQD2+PV23aung7LcdachK0Q36ObQ9jjKsZAAAgAElEQVQ0NeFf45yba46fm+nI5hRwqQTu0dQ+U0+Tv3ADN6/ft7E+s+LJ5bzuyWbdI72+38+nH/8Pb+yPXlDUdGr3AlNEZDNwqfMcEakRkVDdnXHAShFZCywF7lPVdc563xeRnUBXEdkpIt90tnkM6C0iW4DbiF7Fvp2qHlTVWap6lqqerar/raoHXf5ZjTHGdEKpVJu/FXhORLYRrJ46HKdLq5six0Rm2n0e0utC7ysvp6p6Av7atVRVT+jQDTVeJfpsiQwEstW1Pts3DkZOGcaGxuFZPSbk99h2X3k5VWdNwL9mLVVnTUir63whBe0h1Vf083Ru90LqLh/tJmK8z6xiMqB7BSu2HuCyB57n+kmn8PlLRtGt3LvzwhQOVT0AvCfK8lXAp53Hi4EzY2z/ZYI1eiKXNwIfdrWxxhhjTBokfs+viJVFyoHQFe5GVXW1bHBVr8F6xpW3RX0t0wAeSGsMfKLxo7kO4hNJN6j3Ikjf/OFvrI43ljFSt9H9tfrh6xKv6LJ86yIfS7pj3vMhcH/p0dtSOheGnHaSfulP57rVrBMUUnd5iN8DKNnzIl+y7n9f8fWUzoWamhpduGQ533tmE398aSd9TyrnS5eP4UNnD8Hnc2+2EZMbIpLS+WCMMcZ0JkmnK0SkC/BZ4EJn0XMi8lNVdW12dhFvg4p0M/Dx5EMWPp586WKfliizG3ipUIL2kFQD93wI2tNlQdlxiYbuFGvGPVy/7hX8cPoEPnHeML614FW+/IeXeXLFm3x96mmcc0qvXDfPGGOMMcYTqfQ1fBjoAjzkPL/WWfZptxsVjRvd58H9aeQg/wN4twUamrJasM9r2QzaA41N+CqyN2d7SCEH7l7LZtY9X947+ZJ1z9RZw3rypxvfzV9rd3Pv0xuZ/tMVXDl+ALOvHMvw3vk/jZ4pLiLyI5ypdaNR1Vuy2BxjjDFFKJXg/V2qOiHs+RKn4EvW5HsAD/nfjT5TdffPa5/jfuBt03PdnIxlM3Cvf/C3+F9YR9VZE+g389qsHNOC9viyGbi78d4phHnds01EeP9Zg7n89AH8bNk2Hn5uK3/fsJcZE0dw8+RR9Ohalusmms5jVeJVjDHGmPSlEry3ichIVd0K4FSeb/OmWbHlcwAPxZ2FDzQ0cXTFegCOrljv+Vz3Xsp2F/lAYxP+F4JTnfnXrCVwzXRPuzdnM2iHwgzcsymf3jvFknWPVFlWwi3vGc1H3jWUHy7axM//9Tq/X7WDmyePZsa7h1NeWuLZsY0BUNXHc90GY4wxxS2VK/wvAf8UkedE5DlgCfBFT1qVgBtTyEHmF7GxtO6qKsoMma+ynG4TxwPQbeL4ggzcczVnu+9Id6rOCnZcSbdCfLKynW0v1MA9m1l3N947bnymePWZl0/6d6/g+x+awNOzJnHWsJ7cs3ADk+9byp9e2kkg4P4NW2MiiUhfEblPRBaKyJLQV67bZYwxpvClknn/F/BTgtOwHAKeBVZ40aho2lqaXJ9CDrzLwENxZuEH3ja9IDPu+TD1W7+Z13qacS/b0YKvLHt/l0IN2iE308Jl8t7Jl5uB6d44bWtposdOd266JmvsgO48/qlzWL55P/c+s4Hb5q3lZ8te58tXjOHid/RFslwQ03QqvwJ+B7wX+BxwHbAvpy0yxhhTFFKJfp8ATgG+DfwIOBV40otGRdq8/ElW/f5rbF7e8XD5noGH4szCpxp8BBrcmVGwraE5re3yIXAP8Spw3/+TX7Lpvq+w889PeLL/cLnMtjf5W3Nz4BTFmuUhlze9cpV1D31+r3vtdzk5/gWj+zD/8xfw4DVn4W9q5ZO/+A8f+ekLrHrjYE7aYzqF3qr6GNCiqktV9VPA5Fw3yhhjTOFLJfM+XlVPC3v+TxF51e0GRWpraeLg9mBdvIPb19LWMr3gMvDQeQraRQov0pWJjXfP58DSTfS+aAxj75iW1Db5FLR7pWKvj0BzE0c21AJwZEMtgfd+xJMMfK4z7XNvXUftM/VUX9GPmQ+ckfZ+imlO92xK52Zp+Of33gPrGdf2fkpLsn8Dw+cTpk0YxBWnD+B3/9nOnH9s4UM/WcHksf24bco7GD/45Ky3yRS10BS6dSLyXmA3YHMYGmOMyVgqUe9LInJe6ImInEsWKquWdCmn17DgWOFewyZ0CNxDvMrAB5rcyRiHK8ZMfCyRRbpI7Xxr19bQzIGlmwA4sHRTwgx8rsa1ZxK4p3quVez1tY9t95WVc9K4agBOGlddlIF7IKDUPhNsRO0z9Wln4HPRXT4fuFGkrq0l9c/D8M/v/r3H5yRwD1dW6uPaiSN4/ssX8+UrxrD6zbeY+qPl3PSr1by290hO22aKyt0icjLBukD/AzwK3JrbJhljjCkGCTPvIrKO4LylXYB/i8h25/lwYKO3zQsafcG1J2TcI7mZgQd4Y/Hj+GvXUlU9gX4zZ2S830idIRMfKtIVyrwfXbE+rbssJZVl9L5oTHvmvaQy+tRPhZppr5/7JP41a5OeQi5aQbohH5jhScY910F7iM8nVF/Rrz3zXl6VSqehoGwE7sWadd+8/EkObl9Lr2ETGH1BatMcnj34Q7QOuDrngXu4rmWl3HTxKD5+7nAeW/46jy3bxtPr9zD1zEHMes8oRvU7KddNNAVMVRc4D98GLsllW4wxxhSXZK6Ap3reiiTEC9xD3Arg25qb8NcGu3r6a9cSaGrybKxysQfxoSJdgYO9OLoi/ckJxt4xjbYvNkcN3As1aIdgxt2/xjnXEkwhl6iKvJuBe74E7eFmPnAGTXe3phW4Z4PbgbtbMs26V77REHfoUjLyKXAPd3JlF26b8g4++e4RPLJsG4//+w0WvLybaRMGcfNkC+JNakTky6r6fRH5EcEkRweqeksOmmWMMaaIJLwKVtU3s9EQAF9T5t3f3QjgS8rK6T6mmsObaqmq9nZar5DwDFuxBPLHfyZ3soeRgXtOgnZwdVy7r7ycqrMmtGfeo51rNmf7cekG7oXYXT5fsu6hru+hzHsqgbuX87q7qWdVGbdfMZZPX3AKjzy/jSdfeJP5a3fz3jMG8oXJoxg7oHuum2gKwwbnu+dDCo0xxnROeZfCOun1Bo6cUpnRPtwI4IdOm0Fb80coKSvn2Ik30D1VyIF8tgKOQs62R4o1hZwF7e7ozN3l3RjrDskNXSoGvbuV85WrxvHZi0by2PJtPP7vN1nwch2XjuvPFyaPonpojm4YmoKgqk85D4+p6u/DXxORD+egScYYY4pMdqODJLmRrXGjiF2J0w256y7J2TRLoQJ3+ZKFiyabbSzEYnTJCA/cw4vRZUM2p37rtqeVbnuyN91bIWbc81WqgXuhZN2j6VVVxpcuH8vy2y/hvy8dzX/eOMj7/+9ffPzRF1i+eT+q2b2hawrOV5JcZowxxqQk7zLvIfmSgQ/n9XRyiUQGx7nKyufiRkIxZdrjKeZsezaD9mwq9qx7Ogo5cA/Xo2sZ/33pO/j0pFP51Qtv8tjy1/nEYysZP7g7n71wJFeOH0BpSV7eAzc5ICJXAlcBg0XkwbCXugPF+QFojDEmqzwN3kVkKPAE0J9g8ZZHVHVOstvnawAP5DSID4l1ke9WUJ8P2X4L2r3RGYL2Quwu75Zc9RQqVt3KS/nsRSOZef4I/vzSLh55fhs3/2YNQ3pWcv0FpzC9ZihV5Xl7L7zTEJFewO+AEcAbwHRVfStineHAnwn2POwC/EhVf+K8dg8wA+ipqt3CtpkJ/ADY5Sz6sao+GqUJuwmOd58GrA5bfgSbKs4YY4wLvL7aaAW+qKovichJwGoRWayqrya7g3wM4CH3Wfh48iHodkNLa0l2D2hBu6tymWkv1O7y+fLetax7dOWlJXz0nGF8uGYof9+wl589v427nnqVBxa/xjXnDuO6iSMY1COz/1cmI7OBf6jqvSIy23l+e8Q6dcBEVW0SkW7AehGZr6q7gaeAHwObo+z7d6r6hXgHV9W1IrIeuFxVH8/4pzHGGGMieBq8q2odwX+UqOoREdkADAaSDt4hvwN4yI8svMmABe2uynX3+GwF7sXaXd4kVuITLj99AJefPoCXtr/FY8tf59Flwa8rxg9g5rtHUDO8JyL2t8iy9wEXO48fB54jInhX1eawp+WE1f5R1ReAjP5uqtomIkNFpCziWMYYY0zGstbPT0RGAGcBK9PZPl8DeLAgvmBZ0O46C9wLn2XdU3P2sJ6c/bGe7DrUwOP/foPfvridv71cx2kDuzPz3SO4esIgKsuy3Iuo8+rvJA0A9hAcsncCZ0jf34BRwJecrHsi/yUiFwKvAbeq6o44674O/EtE5gPt49hU9f4kjmOMMcbElJVIwuma9kfgv1X18P+zd+ZxctRl/n8/cyYzue+bXEASQjJCBESQIygqiOLKoUCAVQH1J66uiizusq6i6LK6yq6yCAsEWAFZUA5FMQgCC2iQSQiEI/d9DUlIJjM9M93P74+qHno6fVV3VVd1z/N+vfo1Xd1V33q6p6r6+6nnSnvvMhFZKiJLu7tz52r7VYXej0r0mTCPV+mkHg/xfQEV5CtD9fh0qrmCPARTRT71WNi/uzvv+pUs3KPidQ/q2lgqqcfCzp07wzYnIxOHDeQfPjyb5/9hId89+0jiCeXr/7ucY7/7B/7l4VdZvXN/2CZWCqOS/2v3cVnqmyLyBxFZkeHx0dT11GkJkPGOuqpuVNV5OOL9YhHJd1I/DEx1t3kcx6ufi9XAIzhzrMEpD8MwDMMoicA97yJSjyPc71bVB9LfV9WbgZsBhgzK77r2wwMP5oWPKqnHQ+N0n7/EfuBph+oJkU89FqbMHVK1J1RUhHupBOl1Tz0WFixYEOljoamhjk8dO4VPHjOZP699i7te2MCdz6/jv59dy7HTRvCpY6dw+hHjGFBv3vgs7FLVBdneVNXTsr0nIttFZLyqbhWR8UDOq6GqbnFz1E8E7s+xXlvK4i3AD/KM+61c7xuGYRhGsQRdbV6AW4GVfoaLRV3Ag4n4SGGi3XfCDo9Pp5K97lEhql73SkVEOHb6SI6dPpKd++Zw39KN3PuXjXzpnlaGNdXzsZaJnLtgMnMmDAnb1GriIeBi4Hr376/TVxCRSUCbqnaIyHDgBOBHuQZN3hBwF88CVuZZfzTwdeAIYEDydVU9tfCPYhiGYRgHE7TCeC9wEXCqiLS6jw/7MbBfXp5CJ6zxrlhR4zdtltA9Yv2WfhAeD7lD5OPdxR232QgiPL5UKlm4V7rXPXl89cdcdy+MHtzIF06ZyZNfPZm7Pn0s7505iv95YQMf/snTnPGTp7nt2bW07ff3XO2nXA+8X0TeBE5zlxGRBSKSbO02G3hBRJYBTwE3qOrL7no/EJFNQJOIbBKRf3a3uVJEXnG3uRK4JI8ddwOvAdOAb+G0rfuLPx/RMAzD6M8EXW3+GSCwWaWfHnggqxd+40OLefv1VoYc3sLksxYVtY/UybV54wPGPO0ArFmymD1rWxk2rYXpC4s7blOJmmiHym0JFzWK8bq/+cydvLVhGSOmzOeoiZ8oar91qzfnX6mKqKkRTjh0FCccOoo9B7r4desW7lu6kW89/CrXPbqSkw8fzcfeNZGFs8ZakbsicMPbF2Z4fSnwGff548C8LNt/Hcdjnv761cDVHkwZqaq3isiXVPUp4CkRMfFuGIZhlEzZqs0HhV8CHjKH0ce7Yrz9eisAb7/eSrzrPGobShOHFlIfECbae4l3x9iz1jlu96xtJd59HrX1xX0/URTtUF7hbl73vsS7Y7y1YRkAb21YRs+4j1BXW/7zr5IZ1tTAxcdP5eLjp/L6tn088NImfvXSZv6wcgfNDbWcPnccH5k3gffOHEVDXfmvM0ZJJCtsbhWRM4AtwIgQ7TEMwzCqhIoX7+C/gId3vPC1DY0MObyl1/NeqnBPpb944wMXFybaD6K2vpFh01p6Pe/FCPeoinYw4e4nxXjda+sbGTFlPm9tWMbYkXOLEu79zeuei8PHDebqD83m66fP4oW1bfz6pS38ZsVWHvjrZoYOrOeDR4zjQ0eO4/gZJuQrhO+IyFDg74EbgSHAl8M1yTAMw6gGqkK8g78CHvp64SeftcgXj3suqk3Il8UbaKI9J9MXLirK4x5l0Q4WKp9KmK3hDj3hIgauMo+7n9TWCMfPGMXxM0bxLx87gqff2MWjL2/l0Ze3cu/SjQwZUMdps8fygSPG8b7DRtHUUDU/4YEjIlOBR1R1bhHbngx8VVXPzLPeAOAKnBZ0E4Hjgf9U1fvT1lsALFLVK73a4jcicjtwu6o+6T5/JN1en/YzDPiUqv7U77ENwzD6E5H65ZdY/l7OuUgWTQrCCx+kcE+nUoV82cJ3TbQXjBfhHnXRDuUX7lH2uoddCHPw2g4oUrib1z0/jXW1nDZnLKfNGUtnd5xn3tzFb1ds4w8rt/PAS5tprKvhhJmjOHX2GE6dNYbxQ/27eW0UzR04IfNPAx8CDsPpEd8HNwd/aaGDup17RFUruSXEMODzgIl3wzCMEoiUeAdnUtczY2JJYwTphS836RN0v8R8IhajptGf3P2yUSWiPdEVoybHzaBytnyD8or2gRv3Fb2tCfe+xLtiJd1UtNZwlcOA+neEfHc8wV/WvcXjr27n8Ve3s+Q154Ixe/wQTj58NO87dDRHHzLcwuszUycidwNHAa8Ai4D3ADfgzIf+AnxOVWMi8kHg34EDwDMAIlIDvA4cr6o73eU3gPeo6k5gjqoe6a57K7AdOE1EvoETOv8VVX0k1ZPvtpX7H2AC8BzwfuBoYBDwO+AFd/nD7jjvBgYC96vqte6+1gG/wLlh0ANcBnwPJwLgX1X1Jrfv/b2uHXXu53w6w3eUyd4BwM+ABe74X1HVP+Z4/QjgNqABp6vR3wDfBmaISCvwuKp+zcP/zTAMw3CJnHiH6Ap4yF6RvlxkE8xeRP2O2xfT3rqM5pb5jLkkfxXyUD18IQh2CM7TvunBxexb2crg2S1MOrvvd2+iPTtv9wzIv5KPRL2fe9vP7iy5A0YplNIazrzupVFfW9MbWv9PZ85h1Y79PPHaDp54bQc//9Mafvbkapobajl2+kiOnzGS984cxeFjB1NTYy1LgcOBT6vqsyLy38BXgMuBhar6hogsBj4nIjcBPwdOBVbhiF5UNSEidwEX4Aj704BlrnCHdwrVoao9jsOcqcAxwAzgjyIyM82ma4EnVPV77g2DT6e8dyhwsao+DyAi16jqWyJSCywRkXmqutxdd4OqtojIj4DbcVr1DgBWADcBnwJ+p6rXuds3ZfmOMtn7Becj6ZEiMgv4vYgcluP1K4Afq+rdItIA1ALfAOaqakuW/RqGYRgFEEnxDtEU8BAdEZ9OoQI73hWjvdWpEt3euozGtV1lTQnwRE/5v+Mgw+MTXTH2rXQqwO9b2UrijPOoaWg00d5P8Mvr3ri2q+QOGGF53U24+4uIcOjYwRw6djCXnzSDfZ3dPLe6jT+9uZP/W9XGE65XfnhTPcdOG8mx00dwzLQRzBo3hNr+KeY3quqz7vO7gH8E1qrqG+5rd+AI0ifd198EcAX7Ze46/w38Gke8/y2OhznJfBF5230uQDNwErAXUKAVSA8hOgE4G0BVHxOR3SnvrU8Kd5dzReQynLnbeGAOkBTvD7l/XwYGqeo+YJ+IxNx8878A/y0i9cCvVLU1y3d0nxue/6aIrHHtPQGn8B6q+pqIrMdJCcj2+nPANSIyCXhAVd90b2QYhmEYJRJZ8Q7+CXjwLw8+SbZQ+lJDWYMmyOr5YeFHCkA5ctprGhoZPLul1/PevKe83325c9orVbhHPVw+7HO4FK97Kj2Jbupq6n0Zy3AYPKCeDxwxjg8cMQ6ALXs6eGbVLp5f08YLa97isVe2ATCosY53TRnG0YcMp2XyMFomD2NYU0OYppeL9BC1PcBITwOobhSR7SJyKo6H+oKU92pT13ULwD2lqre5y3/KYEMu2lPGmgZ8FXi3qu52x04NSYq5fxMpz5PLdar6JxF5H3AGcLuI/FBVF2f6iHmW86Kq/yMiL7j7+o2IXA6s8TqOYRiGcTCRFu/gj4CH8njhNz60ONRQ1kIpR/X8crHj9jtpf2kZze+az5hLLvK0bRhF6CadvYiGY4rvuV4MJtoLJ+rh8skIm1LO4Sh43Vv3Ps622GrGNc4IxZb+woRhAzl3wWTOXTAZgE27D7B03W6Wrn+Lpet28+Mlb6KuNJs6som5E4dypPuYPX4Iw5urTtBPEZH3qOpzOGHkS4HLRWSmqq4CLgKeAl4DporIDFVdDXwybZxbcDz3d6pqPM8+zxGRO4BpwHScnPnjUt5/FjgX+L6IfAAYnmWcIThifq+IjMXJb3+ykA8NICKHAJtU9eci0oiT959JvGey92mcmxRPuGHxU3K9LiLTgTWq+hMRmQLMA5YBgwu11zAMw8hM5MV7Z/wAAyIs4MGZDMe7YyWHspaTKNtWKIlYjPaX3BSAl5aR+OS5BXngM4n2fEXkCrYpyzh9QuPLJNyrVbT3HOiiLgAvYSbhnuiIUTOwtP9XUD3dwxDufnjdexLdbIutBkj+jVYOUhUzaXgTk4Y38bF3Ob+n+zq7eXnTXl7auMf5u2EPjyzf2rv+uCEDmD1+MIe5ofmHjR3E9NGDGNQY+alDNl4HvuDmu78KXAk8D/xSRJIF625yC9ZdBjwqIgdwRGqq8HwIJ1z+NvKzAfgzjvi+QlU700LIvwX8QkQuwgk33wbswylY14uqLhORl3BuLGzEEf1eOBn4moh0A/txivUVau9PgZ+JyMs4hekucb+jbK+fC1zk7msb8F03V/9ZEVkB/NYK1hmGYRRHpH+Bn9x1J52JdgbUNHMyjlc1qmH0tfWNjJgyn7c2LKuacPSoU9PYSPO75vd63vMJ92ye9lxF5LyQaZxy57ND9Yp2gKXX/o4tT6xiwqkzWfCt0wPd19Yf3sf+51Yw6D1zGf+Vc4saw0/hHonWcEWS6nWvq6lnXOOMXs/7tthqK3sfEoMH1HP8zFEcP3NU72tt+2O8suVtVm51Hq9t28ezq9roir/zbxo7pJHpowZxyMgmDhnZzCEjm5g4bCCThg9kRHMDUcxvVtV1HJxvDrAEeFeG9R/Lsj7AfJxCda/l2eclWV5/kne85nuB090Cd+/BCYuPAeuAuWnbZRtvasrz23EK1qW/d4f7KMbeTuBSD69fD1yf4fVP5dq/YRiGkZ/IivfO+AE6E066V2ei3fHA1zZFOoz+0BMuIt59rhMSHdHCdqWQns8fhfz+MZdcdJDHPT0HPld4fLYicl5JH6ccofHx7liffVR7IbqeA11seWIVAFueWEXPVacA+OKFT/e6Jzpi7H9uBQD7n1tBouOjJXvgS8EP4V7ucPmeeIy6LH3gW4a+n57EydTV1PPYjtVltcvIzchBjbzvsNG877DRva/1xBOsazvAqh37WL2znTU721mzaz+Pv7qdtvauPtsPqK9h/NCBjB3SyLghAxgzZACjBjUwalAjI5obGNHcwPCmBoYMrGdwY13FVcF326h9jpRc9xKZAtzntp3rAj7r07iGYRhGFRJZ8T6gtokBNc29nvcBte90NfFTwIO/Xvh0wRbV6vReSc/nz5Tf77uYTxQmNlKFemoO/JQPXZx/27QicsWGzqeOM2xaS+DCfc2SxexZ28ro8fOYffSFge4rlTDz2euaGphw6sxez3vr9//oixc+U7h8zcBGBr1nbq/nvRjh3rO52ZdiilHAq9f95TfuZXvbCsaOnMu7ak/IuI4Vq6sc6mprmDlmEDPHDDrovf2xHja0HWDzng427T7Apt0dbHu7k+17O1m6fjc798WI9WS+lovAoIY6Bg2oo6mhluYKCMfP5FUWkWuAc9JW/aWqXlfAeG+SwfNfRn6F4+U3DMMwKoBI/1KePOqiXo97emVivwQ8BJcLn0qq16vShHy8q28+f/f+jx2U37/lsXt9L9bXtXkLO26/s+BCdAflwC98J/88V077pLMXFe1xTzJwBxz63kXEy+Rx37PW+f53bl3OYT0xauuC3WdUitC1XHUKLa7H/Ten/xx4xwtfjAc+V4G68V85t2iPe8/mZnbcvpj21mU0t8xnzCXFnxOV5nXvicfY3uZELWxvW0HPqGNNqFcxgxrrmDNhCHMmDMn4vqqyP9bDrv1dvNXexe72Lt460MXbHd283dnD2x3dtMd6ONAVp72rvCk/2RCRyTjF3MbiVFu/WVV/nG19V6TnFeoZ9lOLUzRvs6qeWaS52cYehlNYby7OZ/hbt1BfH1T1V0WO/2XgM+7YLwOXumH0hmEYRoBEWryD44FPrUzcMvT9ve/5LeDB/1z4TFSakE9vTVU/aEifZSCwYn2FFqJzQuMHZvSiF5LTXoxwz5TPHrRwd0Ljaxk9fh47ty5n9Ph5gQr3qIh2ODjfPdUL77dwT1JsqHwiFqO91b2R1LqsaA98FIS7V697XW0jY0fOZXvbCsY1zjDh3s8REQYPqGfwgHqmjcpfA+KOvy2DUfnpAf5eVf8qIoOBF0XkcVV91ef9fAlYiVMczm9+DDymqp8QkQagKd8GhSIiE3GK/c1R1Q4RuQ84n5Rce8MwDCMYIi/e0ysTJ/MkkyQLIVWSFz6VShHy6a2pUpfjXbGMfaf98PblK0TXsLG7j/BO96L7ldOeSrmK0KXmtKfns88++sJAPe5REu0A2pM4KN99wbdOL9rjHiQ9m5upaYTmlvm9nvdqCJ33wpGHnceRb5rH3ahMVHUrsNV9vk9EVgITcSrU+4KITMLpg34d8BW/xnXHHgq8D7gEQFW7cPLp/aQOGOhWlG8Ctvg8vmEYhpGByIv31MrEACv2PdnH+967XgBe+D2TanzxpKYXFstGutgtRcwHUUwufbzahsY+ue+zvvQ9hu6s7y3WVyr1E8Y7BemyFKDL5lFPD5X3I6cdyls5vpCc9iCEex8DSQAAACAASURBVNREe5K3V7f1Pk/1tBcr3IPq555aXX7MJYsK9rhnWq8Sve6pmHA3qgERmYqTk/6Cz0P/O/B1gul9Pg3YCdwmIvOBF4EvqWq7H4Or6mYRuQGnrVwH8HtV/b0fYxuGYRi5ibx4B5g7+OSc3vckfgr4l9+4l+3POQWXpp5+SdHjvPnMnby1YRkjpszn0BMKy91OUqyYz1RMLggGruvoEy5/2LxzwMf5eveWrWy49tvE9+w9qABdPo96urAvxeNe7nZv/TmnvRCSOe/FUg7hnqQQ4Z4pNz7stnDgX2s4w6hURGQQ8L/A36nq2z6OeyawQ1VfFJGT/Ro3hTrgKOCLqvqCiPwY+Abwj34MLiLDgY/i3CTYA/xSRC5U1bv8GN8wDMPIjqhq2Db0IiI7gfVZ3p4ODAd2A2uK3MUoYFcB69XQt/rrS0AhLqz08Ysdp9DxM1HKPgv9flLx8n85RFVH51mnFxFJPzjTP0u2fRf6HRTzeb1Qyvj5vtco214IpRwLpZ5HmQjr+/TrGlHJx4PXYyHX74RR+Xg6HoJCROqBR4DfqeoPfR77e8BFOLn1A3By3h9QVV9ah4jIOOD5ZI93ETkR+IaqnuHT+OcAH1TVT7vLi4DjVPXzfoxvGIZhZCdSnvegf7BFZKmqLrDxwxnfK6oaqPuxkr/PSra9GOxYqO7xvRAFYWdUNyIiwK3ASr+FO4CqXg1c7e7rZOCrfgl3d/xtIrJRRA5X1deBhfiYr48TLn+ciDThhM0vxKmabxiGYQRMpMS7YRiGYRhGyLwXxzP+soi0uq/9g6r+JkSbvPJF4G630vwa4FK/BnZD8e8H/ooTPfAScLNf4xuGYRjZMfFuGIZhGIbhoqrPAGUpPKGqTwJPBjBuKxBYtIyqXgtcG9T4hmEYRmai25ssGIK+M2zjVxaV/H1Wsu1RpNK/z0of3zAMwzAMw8hDpArWGYZhGIZhGIZhGIZxMP3N824YhmEYhmEYhmEYFYeJd8MwDMMwDMMwDMOIOCbeDcMwDMMwDMMwDCPimHg3DMMwDMPIgIhcVoljV8P4hmEYxsGYeDcMwzAMw8hMkAI1aPFb6eMbhmEYaZh4NwzDMAzDMAzDMIyIE6lWcQ01A3RgzWBorA/bFOINtf4MpAna927pXWweOgGkf94zad+zaZeqji50fRFRgAEjxlNT49P/IwM13dE5B1Kp6UqEbUJmurpLHuLt+K6ijoXG8RNBpOT9J6kp/aP4gqoiBXyuoO2t7Yr7N1isMGO9Hgu9vxMNwf9OJBqica1O1Pt3zEcVVaWjbXPyecEfeFRTk06dMycwu3bu3Mno0QUfnpEZuxrGf/HFFz1dGwzDMPoDdWEbkMrAgSM4bs7lodrQPrnZ1/Fe+/NdveJ95MT5zDrmQl/HrySeffBrG71uU988jM63tjJsWgvTFy4KwiwABm3r8W2seE+M2rpG38YbuHGfb2P5yoatRW/6u923rPe6zaC5LYw/P5hjoGkbxLti1Db4938rlHWPLWbvqlaGzmxh6gfzf75BW3wU2Blo3tDuyziydnNB6/2u7eeejoVujTFy0AzmT/2bouwqlI7JgwMdvxD2j4vUT3QgxLtj1NY7592aJYvZs7bV0/ZTOzpYunRpEKYZISMinn8nDMMwqp1ouBUiQPvkZt+Fe7wnRtvmZb3Lhx51jq/jVxKv/fkugHd52WbAiPF0t+8BYM/aVuLdsQAsc9g/rq73UQorX7yLZx/7R1a+eJdPljkiIgpC4iCmjHceZaBx/MTAhDvA6icXs+Lmq1n95GIOjAtsNwcR74qxd5UjVvauaiXelf8Y3z8huCiUSmHb3lfpiXcFMnYUzjc/rkWVwJoli1l2x9WsWbIYIHmD9qVQjTIMwzCMCNPvxXuhoj3e41041tY1MnLifMDxuvvpja0k0m9iFEpNTS3DprUAMGxaS693puD9Fin2i504x3ti7Ny6HICdW5cXdczkIikqwhYWB1FGER8EiViM/SscAb1/RSuJWIwD4yiLiK9taGToTOcYHzqzpWDPf5ACvn2KPzcxddpEX8bJxLihc6irbfB93DDPLb9uICYJ8manH8S7Y71e9rSbs97yherDT7MzDMMwjHJR/bf2s+DFy/7an++ibfOyosLeZx1zIfGec6pWuBcSIp68iVGMgJ++cBHx7vM8C/dk+GUp4fapk+hCw+pHj5/Hzq3LGT1+XqD/86TIiFRIfVLAlxBOn43Y1s1svWdxIN73msZGBs1tYf+KVgbNbaGm8Z3/W6qAb9rm+64BmPrBRcS7zvMcsr9/Qq3vIfR+p3wEweAB4wIJmQ9LuAfhYffj+pcazh4EtfWNDJvW0mtn0fuaN89fwwzDMAwjwvQ78e41ND7Va9y2eVlRQjzqk+Fi8XJTY9YxF/Lsg8uKCocsxuPe16PjXfynk5xgZxPxK1+8q1e0v/eD3y7b/zzSIh58FfKOV/y8PuLaL8afvyjv2EkhH4SIDyPXPp3XXkg5n4+90Lfcd78ppLCfF6pJtIM/1z8/xH8hFHtztg9btuRfxzAMwzCqhH4TNl9sTnvUQt8zhWLvn1hb0qNYO/re1Mgcopn2uu/l0zOFhiY9OpA93N7PkPr0cPkwiGQ4PfgaUp/uFc9FIub9/1vo2OUKqS8Ev8LnCz2fvdI9ZZQv4wRFGOdMMaHxXq5XhVz/8u0rSzi7L3SM6fvomthI+7BY77Jntvof6WMYhmEYUaXqPe9+FKELM/Q9VVx7rUpdzD6yMWhz3/Dc1FD4bDc1Skk3AEjUOZO5gTsyv5/LO5TLo+N/SH35wuXzkSpGIumNL9IT76Vg3dZ7FveGwAdZ5C5IT7wX/Aifz3Q+t09pLMn7vmz1L9m++xXGNUxn/uCFJdnnN2GJ9mIo5npVike7mHD2okS3y6YHF7NvZSuDZ7cw6ezgzlfDMAzDqAaqVrz7XTm+UEFWSs5oLhF9cFVq7zmypZDJtlw3NTKlGxRL6sQwKeQLCQ3N5nEPIqR+8hmXcNim9tAjM1LJFlLfE+8KpNhXQSRF/G6P2xUYKn1w8blgwuxTiYKI90PAzzrWv5uUPfEY23e/AsC2rjUcoe+jTvoWFuvR7oNeKwflFu6lhMeXcr0q5bqWSfyXItCzkeiKsW+l8/n2rWwlccZ50I8iAg3DMAzDK5H8keyJlxam57dwL5TX/nwXzz/8zWRbtLx4CV8vtip1kOyfWEvHIU0Z7Q8q3SAZWllsaGipIaU5bZvUXPBE3e9K9LlIDalftu5/WbLi+yxb979l2385SRafA29h9n4Qdji9HyH06edppsrzhVyf62obGTv8CADGNUw/SKQv27eEJW/dzrJ9S0qw1jvlFO5+VI4P8nqVi2Q4e2p4e1AMnt3S+3fLo/eCx5aizJ7tv1GGYRiGEVEi53lPhlqOHX4E82d489aGJdqhsMJ2xeaXJym2KnW5SP98QaYbdIyB8Z9cxNiu82je4218X4ok5SBflfrU4nazj/aeTlC0XeMb2LbsVcDpk31E/CPheeADpJDic0FyYFz4ofRB4eX6PH/GOfTEz6KuthHWbu59vUe72da1BiD5tyw3kcst3P0i6OtVkMI8F6nh8od/9XsAvH7D1eEYYxiGYRgVQqQ876raG2q5ffcrBXvgiy1G5yeZPM1+FIY7aD8RFe6ZyOWZ94uahsaiPEPl8mCle9+C7gWfi9q6RkaPd9oqjR4/j+6pI8u273ITlnBPEpYXPsj+76mh8IVen+tqD/4/1Ek94xqmAyT/+l7IMpVyFnP0s097Kr5GCKUVjAuD9HB5cK7lSS+8J1au9NM0wzAMw4g0Bc8yROT7qnpVvtdKQUQYO/yIXs9OpolfOmGL9lRmHXMhe0efT21DI/vDNqYfkpyIZitwFybvtJoLt7jd7KMv5LCUugyRbDVXRYThhfe7/3v7lGaaN7T3hsJ7uT5nY/7ghb158Nva1vhmazrlFO1RJiyRno2kUE963mvcm9KTzl7EypWtRbUUNQzDMIz+gJcZx/uBdKH+oQyvlUSfUMsclEO05ys+l/p+0rNcS3CeL8Mh0RXrnexlIlOBu6iQrbhdKYUOvZJpPybigyPpgW/cEKuoyJl0euKxgq/P6ei0iUhK6DwQeLG6IIV7n2t/BIV78hqY71oZJpPOXkTijPMy2RdoJIZhlBMRGQt8F5igqh8SkTnAe1T11pBNMwyjQsk76xCRzwGfB6aLSGoT68HAs4EYFQHhnq/NWfJ9v9u2Gbnx2lYoqt74jknvHMMbH709lBz4TJiID4Zk+7pyXS/89r6/uPVB2jYvK6oWSRgEKdyTNStKaTUZBOne9UpowebLjYXx40sfwzCC43bgNuAad/kN4F7AxLthGEVRSM77/wAfAR5y/yYfR6tqWZVGuXLbDy4+905u5/6Jtewd3dP7vtO2rXx5y/2Zg9oKefjew87xzEa8O7wc+Fwk84TD6IddbaS2ryvn9cKv/PfU66GXWiRhEbTHPXm+Oq3bwv8uMl3XSrlWVhwTJoRtgWHkYpSq3ocbUaKqPYB/d1YNw+h35BXvqrpXVdcB3wS2qep6YBpwoYgMC9i+XsqZ256r+BxEs21bfyC1oFFqnqRXoiTi01tBpXrko4KJ+NJIb18Xm1JZ14vU62Gpue5BE/Rx2jGpOZTWbQfZkedmpF/Xyopg+fL86xhGeLSLyEhAAUTkOGBvuCYZhlHJeEnW+19ggYjMBG4Gfo3jlf9wEIYlySfag8oVTrY56zikKWPxuai3batWcuRJeiYqIfXpraDytZorZ358KhZSn51ELJazwn16+7pyFbLzK3x+1rHO9XDIloOPx0LJlPfuF+W4uZQ8L4Nu3ZYk3h07aB9ebjr6ea2MNN3dYVtgGLn4Ck7k6gwReRYYDXwiXJMMw6hkvIj3hKr2iMjHgRtV9UYRCbQqbD7hni8vvRQcL3tTznVMuIeD35PRKBS4yyYE3qlS74imsHrEp2Iivi/JfPZBc1sYf3723OJ0cV9p/eCdG0bFi/egCFq4ZypIF7RwX7NkMXvWtjJsWgvjP1l8vnrVC3fDyIKIjMDJLZ8KrAPOVdXdaescAjyIE4VajzO3vcl972icfPWBwG+AL6mqFjJuKqr6VxE5CTgcEOB1VbU7ToZhFI2XPu/dIvJJYBHwiPtaIOWCC8ltz5WXXgpB9iQ3ok+UQupT2T+ujr0j45HKjy9nOL3WK7Fx3RkfYZKaz75/RSuJmLf/STl6wfvZ+719SrTSOsIQ7kET746xZ61zTO1ZW+X56n7QlPsmu9Fv+QawRFUPBZa4y+lsxan83gIcC3xDRJJFFH4GfBY41H180MO4vYjIF4BBqvqKqq4ABonI50v7aIZh9Ge8iPdLgfcA16nqWhGZBtyZbyMR+bKIvCIiK0TkFyIyINu68YbagnPbM+Wll4KJdiOVKIr41Pz4MHrEZyPs4nZhCvr0fPZcofPZqDQBXwo6baJvYwV5vO0fVxdaC7iuif0oX90PZs8O2wIjmnwUuMN9fgfwsfQVVLVLVZN3xxpx58QiMh4YoqrPq6oCi1O2zztuGp9V1T0p+9yNc1PAMAyjKAqenajqqyLyVeAwEZmLE/rz/VzbiMhE4Epgjqp2iMh9wPk4oUglk8xLL0XEmGA3chGVvPgkqfm2yVoMmfLiwyIqIfXpAr5xW3A9xdPz2Yuh0kLowyZo4R4GqTcL+02+uh+sXx+2BUY0GauqW93n24CxmVYSkcnAo8BM4GuqukVEFgCbUlbbBCTvPBY0bgq1IiLuTQBEpBZo8PxpDMMwXAqepYjIyTh3Gdfh5O1MFpGLVfVPBexjoIh04ySRbynO1MwUK9xNtBteiEJefJL0fNv0vPgoEBURnyRVzAch5EsR7kmCFvB+Fa9rn9JM84Z2HywqjkSDl4Axb4Qh3HNVjDcyIyKXAZcBHB2yLUagjBKRpSnLN6vqzckFEfkDkCl26ZrUBTdXXTPtQFU3AvPccPlficj9hRqXa9wUHgPuFZH/cpcvd18zDMMoCi8zlX8DPqCqrwOIyGHAL8jx26mqm0XkBmAD0AH8XlV/n2snQVfSribRHnS4bdiewERwztL8++6KZZ08R80bn6Q/ifhEZ4yaAcVdJ4IW8qVgHvjwKLdwj1paThB0jsmsa/J1Z8iHK+BuBliQXzwZlcsuVV2Q7U1VPS3beyKyXUTGq+pWNww+5y+263FfAZwIPAtMSnl7EpBsleFpXOAqHMH+OXf5ceCWPNsYhmFkxctspT4p3AFU9Q0RyTnzFZHhOPlB04A9wC9F5EJVvStlnd476DW19Tz/8Df7VI/3S8xXqmgvRz6s130HKS5Sj4fa4cN7J38DdkhwO6WvWN/04GL2rWxl8OwWJp2dvdKzifjCKUbE9zkWRgzrfX3nT++k468raFowj1FXXFCSXUkhHyURH6SA98v7Xm5Sj4XGgcNyruv1N8NEe/FkE+e52HH7Ytpbl9HcMp8xlxRfSd8w8vAQcDFwvfv31+kriMgkoM1N6xwOnAD8yBXmb7s92V/AKdR8Y6HjpqKqCZzidz/z5VMZhtHv8TJrWSoitwBJ4X0BsDTH+gCnAWtVdSeAiDwAHJ8yRp876MnwI6d6/Dm8+ddf+tIKrlKEe5hC3QuZ7PRLbKQeD41TJvfODFMniX4L+VSxPuGM89i30qn0vG9la0F5p1EKqU8lyiKeZfnX7XMsTJ2kADv/czEdL70CwIGly0l0fqJoD3wqUfPGR90DX0rofDH93lOPhcHDJmVVjF5bKZZTuFeyaC9GpGciEYvR3uqc/O2ty0r2wAMwb54PlhlVyPXAfSLyaWA9cC6Am89+hap+BpgN/Js79xTgBlV92d3+87zTKu637iPruNkQkfcC/wwcgjPnFpyI++n+fEzDMPobXmYunwO+gFOADuBp4Kd5ttkAHCciTThh8wvJIfhr6wcS7+7orSLftxWc98J0URftlSLWCyH9swQpPPz0xie6Yn3EOmecx+DZLb1i3mveaRS98akCJUpC3iuJzlivcAcYeNRcX4R7OlHxxgcl4CvV+56PeE+sTyvFw/J44Msl3CtNtPsl1DNR09hIc8v8Xs+7H7UiOHCg9DGMqkNV23DmnOmvLwU+4z5/HMh498ddb26h4+bgVuDLwItA9V14DcMoO16qzcdE5D9w8nUUp9p8zp5MqvqCW/zjr0AP8BKu9yQTA5pHcuSJV/ROuEZOnN/refcUBhlh0V5Ngj0XqZ8zKCHvhze+pqHxILHuR6XnKIp4iKY3vlBqBjTStGAeB5YuZ+C7jmD05y8KdH9REPFR98BHidq6RkaPn9freTfhXhhBivVMjLlkkT8e9ySrVvkzjmEEw15V/W3+1QzDMAoj8GrzqnotcG2h+0mdcBXTCi6Kwj1Kgt3XSVOBlOPzl+KNzyTW/ar03F9FfFCFJ0ddcYFvofKF0jFsPwP3DCrb/tIJQsD74X0Pu+p8JmYffWFOj3u1ifZchTVzUW7Bnk65f4MMI0T+KCL/CjwAJHvKo6p/Dc8kwzAqmUCrzftBoQIgaqI9SoI9ydZ7FrN/RSuD5rYw/vzqLBRUrIgPui1Tf8qL95p37JVyCvddN93NgaXLe4vjhR1KXy0Uk/deKP1FuBdaWBPCF+uG0Y851v2bWjVfgVNDsMUwjCog0Grz5SIqwj2Kgj1JIhZj/wont3v/ilYSsfN8836E4c3PR5AF7rJRqBcsit54v0S817zjKJPojHFgqfNZksXxYu457lXEl3qORNX7XimUQ7iXM0Q+vVZHpjSfcgj2SFz7p0wJd/+GkQNVPSVsGwzDqC5qPKy7VERuEZGT3cfPyV9tPlD2T6yNhHA/MC7awh2cMMVBc1sAGDS3xbcJ19Z7FrP621ez9Z7FvowXBJ1jNPCJ7KYHF/P6DVez6cHCv4eOMdHLid0/rq73UQzJvGMgb95x1Enm2AM0LZjXx+OfWp0+H36dI1G8xrRPaQ7bhLxUm3CHd2p1AAcV1izH9Q6clm/rr/oHdtwe8rV/9Ohw928YORCRsSJyq4j81l2e41aqNwzDKIqgq80HRtiiPYoT6XyMP3+R7x73oLz5QRBUz/hCvGC5iKInHor3xufLO64kcuXYF1LQrtLOkWojaOEe5s231Fod5Q6LD6TlW7G8+GI4+zWMwrgduA24xl1+A7gXpwq9YRiGZwr2vKtqDPgP4Fs4Bej+032trITtbc/nZU/Eyv6VeMLPCVZQ3nyveP3Ok54pvya8ubxgXkh64qPqjfdCNQj3JPly7HN54f0+R/y+abh/QnjX0p7czUpKZu/IYFMCwj5PO8coXZMaQslnT7Z8A/xr+WYY1ckoVb0PSACoag/WMs4wjBLwUm3+DOAmYDVOtflpInJ5OVtghC3a89EfCsKl47c33ys7bl/c2zN4zCXev3O/vPF+tJdLJYre+EpuMxc0sXHdWT3wfp8j1dA+btnqX7J99yuMa5geyPjLX/kf9qxtZdi0FqYv9PdaHAXRHgV8b/lmGNVJu4iMxClSh4gcB+wN1yTDMCoZLznv/wacoqonq+pJwCnAj4Ixqy9hetsLzWc/ODw22h54PwnT454eulksfnjig6hYXy2e+P5APg98VCnV++41770nHmP77lcA2Na1Brz9DuVl78g4e9Y61+I9a1uJd/t3LQ7zXCxXLrsXInFcDx0atgWGkYuvAA8BM0TkWWAx8MVwTTIMo5LxMmnap6qrUpbXAPt8tucgoi7ak0QlhLw/EUToZhQnyGAivlKIjev2VMyuWCqx5kaSutpGxg4/AiDpeU/4Nfb+cXXU1jcybJpzLR42rYXaen+jYcpNVK9JkWHmzLAtMIysuP3cTwKOBy4HjlDV5eFaZRhGJZN35i0iH3efLhWR3wD34YT/nAP8JUDbQhHupUyKww4h748EFboZRqu5Qohiv3gLpz+YXGH0fuFn+Hy528bNn3EOPfGzqN+wi21ta3wZM/VG0vSFi4h3n+eLcA9TtBsFsGpV/nUMo8ykzJ3TOUxEUNUHymqQYRhVQyFus4+kPN+OcwcRYCcwwHeLqDzRnooJ9/IT9HceVJX6UolaXnyqeDIhXx4BHxXapzTTvKHd0zZ1tf6dt5kiQCpVuJto98heSx82Ikly7jwGx+v+hLt8CvB/gIl3wzCKIq94V9VLy2FIknIL90oOPzXKi4n4wjFvvEPQAr7Si9fptInQVtoYQaVulFu4m2g3jOohOXcWkd8Dc1R1q7s8Hqd9nGEYRlEUEjb/vgLHWqeqG0oxJlFmJ1WlC/dy5NZC7j7WgVKXgDGdsCOQAI+iMRFfOH6J+Nr6BMPH9S2xsXvb4JLGLBeVIuDLHTrvB9Ug3KtWtI/pDNsCw4gCk5PC3WU7MCUsYwzDqHwKmfkU6nl/EChJvJeLShTt5RLqXvZdNlGfnARGVMRDtIR8NYv4VFLFfNSFfH8KoS8XQQh3E+0eiYJAP/rosC0wjFwsEZHfAb9wl88D/hCiPYZhVDiRC5sPkkoR7WEKdS+k2xm4OImoiIdoeuOjLOL9phK88kEK+CiEzxeT914MiXox4R4GURDqmdi5M2wLDCMrqvr/3OJ1J7ov3ayqD4Zpk2EYlU3BMyAReS/QqqrtInIhcBTwY1Vd77dR8a4YtT73zI6ycK8UsZ6Pson51ElkxIR8GCI+0RXL2WM+ihXqiyHe0UXtwIaC1k2K+aiJ+Kh74CsxdN4PyiXcK0a0j+kk0RmjZkAFFGDdUBEBf0aZEZERwL3AVGAdcK6q7k5b5xCcqNEaoB64UVVvct87Gic3fSDwG+BLqqoi8s/AZ3GKNgP8g6r+JpctbmV5K1BnGIYveOnz/jPggIjMB/4eWA0szreRiAwTkftF5DURWSki78m1/rrHFrPi5qtZ91jeoQvCa7/2cpHsB10twj0TZfmMYzoj6REqV2/mTQ8u5vUbrmbTg4WdL1HsF18IXdt2s+KcH7Du+97mP8PH7et9RIWgzocoXucqgXKcDxXRqz15LR3TyY6f3MP6v/0XdvzknrCtMoxi+QawRFUPBZa4y+lsBd6jqi3AscA3RGSC+97PcET6oe7jgynb/UhVW9xHTuEuIh8XkTdFZK+IvC0i+0Tk7RI/m2EY/Rgv4r1HVRX4KPAfqvqfQCFurR8Dj6nqLGA+sDLbiqrK3lWtAOxd1Uq8K+bBvL5EUbT3B8GejcA/c8RFfBAT90RXjH0rnfNl38pWEh7Ol0oT8fH9zv9279OvEu/oKmqMKIn4KF8D9k8of6vOsCiXcI8kKWI99dqZ6IzR/vzLALQ//zKJzuJ/hw0jRD4K3OE+vwP4WPoKqtqlqskDvBF3TuxWhB+iqs+7897FmbYvkB8AZ6nqUFUdoqqDVXVIkWMZhmF4Eu/7RORq4ELgURFJhhllRUSGAu8DboXeC+WeHOszdGYLAENnthQdOh8l0d6fBXsoRFTEg//et5qGRgbPds6XwbNbcobOZ6NSRHztICc9YuiJcwoOnc9GlES834R97Wuf0hyuAR4I+riPpLc9g1hPp2ZAI83HHQlA83FHRj90fubMsC0wosnYlCrv24CxmVYSkckishzYCHxfVbcAE4FNKattcl9L8v9EZLmI/LeIDM9jx3ZVzeq0MgzD8IqXqj/nAZ8CPq2q20RkCvCvebaZhpMXdJsbbv8iTt5Q1qpGUz+4iHjXeUUJ97AnrqmYWA+ZfpIXP+nsRSTOOK8o4Z5KFIvbpdIwbjgzvndRycI9lbDz4qOe/17NlEO4R4YibmaOufJ8EpedHVnhLiKXAZcBTJs4Mc/aRiWyeU8HwCgRWZry8s2qenNyQUT+AGSa+V2TuuDmqmc8KVV1IzDPDZf/lYjcn8e0nwHfBtT9+2/A3+ZYf6mI3Av8CugNY3Hz4A3DMDxTsHhX1W3AD0VkiFsIZD/wSAHjHwV8UVVfEJEf4+Qd/WNyhdQf4fpBiRfOSgAAIABJREFUzg3MdOFeSAG7KAh3E+ylk3o81I4a6s+gZahSn4jFqGn0NtH1S8SXKtxTiZKI73NtGD3EV+GeSpgiPggB70fleb8L1/XEY9TVFn+cph4LDYPyObqyY6K9cMop3L0Wx3MF3M0AC7KIMqMy6epJcMsza7hxySqAXaq6INu6qnpatvdEZLuIjFfVrW4YfM5fNVXdIiIrcKrCPwtMSnl7ErDZXW97yj5+Tv558BDgAPCB1N1hBewMwygSL9XmLwe+BXTiXHhw/07PsdkmYJOqvuAu309a0ZDUH+GmMZMP+hFe99hi9q5qZejMFqZ+cFHGnYQt3E20+0fq8dA4faK/k7KARPyO2xfT3rqM5pb5jLkk8zGaC2szl5k+14ZDJwQ+QR8+bl/VCPgosWz1L9m++xXGDj+C+TPOKWqM1GOhefTBvxOF0C+Ee0RThnKx4yf30P78yzQfdyRjrjw/bHOMEHnmzV3800MrWLOznQ/MGctrpQ33EHAxcL3799fpK4jIJKBNVTvc8PcTcIrRbXWLyx0HvAAsAm50txmfEo5/NrAilxHV1G7ZMIxo4CXn/avAXFWdqqrT3Ecu4Z701m8UkcPdlxYCrxa6w3hXLGcBu7CL0lkue4XiY158IhajvXUZAO2ty0jEii/uFMUc2UrJifeLsPLh/b6OhHldTM1774nH2L77FQC2736Fnng4xc+qXrhHuNZHLqw4ngGwdW8HX7j7r1x46wvEE8ptl76bmxdldbgXyvXA+0XkTeA0dxkRWSAit7jrzAZeEJFlwFPADar6svve54FbgFU43ZV+677+AxF52c2TPwX4ci4jROQwEVnievURkXki8s1SP5xhGP0XLznvq3FCf7zyReBuEWkA1gAF34WsbWhk6MyWXs97auh82KLdKJzI9gv2IS++prGR5pb5vZ53r6HzmUgVAmF745M95KPgiS8HyV7yYXnho4QfofN1tY2MHX5Er+e9lND5YglSuEdCtFcYqb8HyeJ4Sc97Ub8To0b5bKFRLrp6Etz27Fp+vORN4gnlK+8/jMveN50B9aV3vFDVNhyHUfrrS4HPuM8fB+Zl2X4pMDfD6xd5NOXnwNeA/3K3Xy4i/wN8x+M4hmEYgDfxfjXwfyLyAn2LblyZayNVbQWKvoWaqYBdWMLdRLt3dt10NweWLqdpQcbfx+hQQkj9mEsWFZXzXghhhtRvenAx+1a2Mnh2C5POdtIBUoVQtQn5dd9/gL1Pv8rQE+cw9aqPlz0X3u/weT9y3/1g/oxz6ImfZcLdLypQsCfJFCJfcnG8Qw7x0UKjXPzfql3800OvsGrHfk6bPYZrP3IEk0c0hW1WEDSp6p9F+vyG94RljGEYlY+XsPn/Ap4AnsepGp98BE5SuIcVJm/h8cWR6IxxYOlygORfL8dbOBQZfhqEcE+l3CH1hfSQr6aQ+nhHF3ufdjJ60nvJlzOMvlqvMybcfaBCQ+OT5AqRLykya6V14aoktu3t5Iu/eIlP3fICXT0Jbr14Abdc/O5qFe4Au0RkBm6tKBH5BLA19yaGYRjZ8eJ5r1fVrwRmSR7CEu1G8dQMaKRpwbxez/uBpcsTYdtUMGWoUF8M5fLEJ3vIJz3vuSraV0NIfe3ABoaeOKfX855e2b5Sw+jD8r63T2mmeUPWjqCBU5XCvcLxJUQ+EweKyeYzyk133A2R/8Ob9CSUvzvtUK44aYYvIfIR5ws4xTZnichmYC1wQbgmGYZRyXgR77912/U8TN+w+bd8tyqNcgt3E+2FUUgu+6grLiDR+QlqBjSy4TPLI2NXwUS0X3w5RLzXHvJhiPhkjrofTL3q48SvPDPreOUKo49S9Xm/W8YFSbw7Rm19Y2DC3UR76US9f7wRDOkh8v905hFMGVm1nvY+qOoa4DQRaQZqVLX8FVENw6gqvIj3T7p/r055LV+ruJIwb3t0Sc1lH3VF7pvI5ZyoBdp2KILe+KBFfDE95Msl4tNz1P2gkBsB5fDCR0nAVwJrlixmz9q+9Rn8pOzCvcpEeyq+/x7U23kSVbbu7eC6R1fyyPKtTBnRxK0XL2Dh7LFhm1VWRGQkcC1OGzoVkWeAf3EL6hmGYXimYPGuqtOCNCQd87Z7J6jc3HShkp7LnvSs+019nTeP30E5lUF5ePqhiC+GIEX8QTnqOTzmQVBJYfRRKVwXFPHuGHvWptRn8BAtUghlFe5VKtonjN5T8LprvQ4+L+LFUPshXT0J/vvZtfzErSL/5dMO4/KT/KkiX4HcA/wJ+Bt3+QLgXpz2dYZhGJ7x4nlHROYCc4Be1aKqi/02qpzCvRJFe7n7UGfa3z43P7hpwbxAPevJSd+WncPyrhtYTmU2TMQXRBAiPl+OejkIWsBHxfse9dD52vpGhk1r6fW8V6RwrwLR7kWg+8qWLeHs18jI02/u5NqHXmHNznZOmz2Waz8yp5qL0RXCeFX9dsryd0TkvNCsMQyj4ilYvIvItcDJOOL9N8CHgGcA38R7ot6EeybKLdYLoW9+cPC5wKkTw1xCPpScygiLeIiOkPdbxOfLUS8HleKBD8P7Xs6ideM/uYixXRXqca9A4R6aUM/EVivcHQU27+ng2w+/ymOvbGPqyCZuu+TdnDKrStqRlMbvReR84D53+RPA70K0xzCMCseL5/0TwHzgJVW9VETGAncFY1awRF20R1GsZyJTRe4k5RDy2UR8aMWQIijiIXreeD8LioUp3JMEKeCj4n2PMsnjqeKEe4WI9kgJdSNydHbHueXpNfzHH1cB8LXTD+fTJ0zrryHymfgs8Hc482UFaoF2EbkcUFUdEqZxhmFUHl7Ee4eqJkSkR0SGADuAyQHZFQhRFu2VItgLJf3zBCFuvITUl5V+XKE+KAbWRffcBRPwYeF3ZXnztjuYYDcK4YnXtvOth19lfdsBPjR3HN88cw4Thw0M26xIoarRD80yDKOi8CLel4rIMODnwIvAfuC5QKwKgCgK92oT7LkYPm4fGwIaO7IiHiLpja9UEX/kqHfCY1/eNT5ESzIT9RD6UkLno5j3XpHCPaKivaLF+uzZYVvQ71jf1s6/PPwqS17bwYzRzdz56WM48dDRYZsVSUREcIrUTVPVb4vIZJw8+D+HbJphGBVKQeLdvfh8T1X3ADeJyGPAEFUtT+PuEomScO9Pgr3cmIj3RqWKeIiukA9KwJv3vS8m3EunogW7EQoHunr46R9Xc/Of1lBXK1z9oVlc+t5pNNTVhG1alPkpkABOBb6N4/j6T+DdYRplGEblUpB4V1UVkd8AR7rL64I0yi/8FO2JzljRudQm2MtLocXtQqHMIj4Ri1HTmPu4rWQRD9ET8lH2wPtduC7eE6O2LvvxFUTRuoSnHil5xuqK0TUp4LoJJtqDZeXKsC2oelSV37y8jesefZUtezv5WMsErv7wbMYOic7N6AhzrKoeJSIvAajqbhEJv1iLYRgVi5dp0F9F5N2q+pfArPERP4X7rpvu5sDS5TQtmMeoKy4oeDsT7Q7xji5fCosVM05kvfFlEPE7bl9Me+symlvmM+aSRXnXrwQR332gm/qm7B7opJAPW8QHIeDD9r6nh86/9sJdtG1exsiJ85l17IWh2VUsmx5czL6VrQWfH5nIe3MsIsK96gS7UTbe2L6Pa3/9Cs+taWPWuMH8+/nv4phpI8I2q5LoFpFanGJ1iMhoHE+8YRhGUXgR78cCF4jIeqAdEByn/LxALCsSv0PkE50xDix1sgMOLF1OovMTeT3wJtrfYd33H+jtxV0Kr33nIdqeep2RJx3OrG+e5Xn7/ibiE7EY7a3LAGhvXVaQBz5JVEX809c8wfolazlk4TROvO7UnOtGRcRXK/GeGG2bneOrbfMy4j3n5PTAR41EV4x9K1sB7+dHkrw3xyIg3E20G8Wyt6ObH//hTe54bh2DGuv49keP4JPHTKGu1kLkPfIT4EFgjIhch9O56ZvhmmQYRiXjRbyfHpgVPhFEbnvNgEaaFszr9bznEu4m2vsS7+hi79OvAiT/FvWrH+/oou2p1wFoe+p14n9fvCe/v4j4msZGmlvm94oLr8IEoiXiNaGsX7IWgPVL1nLcNbk98EnCFPFR9b77ETpfW9fIyInzez3vlSTcAbomNZR0fuS8ORayaO93gn283aDzk0RCuf/FTfzgd6/R1t7F+e+ewtdOP5wRzRbpXQyqereIvAgsxHF6fUxVLdfDMIyi8SLeMynTgtSqGzK0FNisqmd62GfBBFmUbtQVF+T0uJtoz0ztwAaGnjin1/O+9+lXiwoVqx3YwMiTDu/1vPsRgt8fRPyYSxYV5VFMJwoiXmqEQxZO6/W8FyLcUwlLxEc5/71UZh17YcV53OGd47mU8yPrzbEQhXu/E+1JJkwI24Kq4aUNu/nnh15h2aa9HH3IcG6/9BjmThwatllFISIjgHuBqcA64FxV3Z22ziE4XvEaoB64UVVvct+7DlgEDFfVQSnbNAKLgaOBNuC8THWg3P0n2QH8IvU9VX2r5A9pGEa/xFPOO05f9904dw+HAdtEZDvwWVV9Mce2XwJWAkOKNTQb5aokn0m4m2jPz9SrPk78yjOpHdjAMtcLXwyzvnlWSR73bES2uJ1PIr5U4Z5K2CL+xOtOLdjjno0jR22teAEfZu57et57pQr3JKWcHweJ/5CEe78V7UmWV0TTm0izY18nP3jsde5/cRNjBjfyw3Pnc/a7JuI0GqpYvgEsUdXrReQb7vJVaetsBd6jqjERGQSsEJGHVHUL8DDwH8Cbadt8GtitqjNF5Hzg+8B5Gfb/Ik6euwBT6Dt33gBM8+NDGobR//ASxvw48GFVHaWqI4EPAY8An8dphZEREZkEnAHcUoqhmQirBdzwcftMuHvAL8Htt3BPZ8LoPdGbCI/pDD0MN53OMVqe1loZKEW4Jzly1NY+FerLQdSuFwfGlW9f7VOay7ezHARxzIYp3CN5vQqD7ui0gq00unoS3Pyn1Zx6w1P8unUznzt5Bk989WQ+ftSkShfuAB8F7nCf3wF8LH0FVe1S1Zi72EjKnFhVn1fVTD8UqePeDyyUDF+Wqk5T1enAH4CPpMydzwR+X+RnMgzD8OR5P05VP5tcUNXfi8gNqnq5G0aUjX8Hvg74GjsahnCP2gTcCIZIhtRbn3jfCcML7xdhV543XEIS7YZRKn98bQfffuRV1uxqZ+GsMXzzzDlMGxWNG20+MTZFfG8DxmZaSUQmA48CM4GvuV73XEwENgKoao+I7AVGAruyrJ8+d/6tiPyg8I9hGIbRFy/ifauIXAXc4y6fB2x389kz5jKLyJnADlV9UUROzrLOZcBlAHVDh+c1wkR7dZN6PDSO8T3LwhMm4gsjKBGfeiw0jwtmUlnOXPhqzn8Pmj6/E0Py/06kE0ikSJmFu4n2d0g9HuY3WCE1L6zeuZ/vPPIqf3x9J9NHNXPbpe/mlMPHhG1WNkaJyNKU5ZtV9ebkgoj8AcgUR3RN6oKqqohkvAio6kZgnohMAH4lIver6nYfbE+yRUS+CdzlLl8A5LtBYBiGkRUv4v1TwLXAr9zlZ93XaoFzs2zzXuAsEfkwMAAYIiJ3qWpvU2D3QnwzwICJk3POsEy4Vz+px8Ogw8aFE5udRqRFPERGyPst4lOPhZGzRwd6LJTLC++ngC/V++5H1flykXosDByf+3ciHRPu1Ufq8bBgwYJI/E5Enbc7u7lxyZvc9uw6BtbXcs2HZ3Px8VNpqIt067ddqrog25uqelq290Rku4iMV9WtIjIep2hcVlR1i4isAE7ECYfPxmac+k+bRKQOGIpTuC4bn8SZOz+IkwP/J/c1wzCMoihYvKvqLuCLWd5elWWbq4GrAVzP+1dThbsXyi3cTbQb6URSxEPkvPGVGk5fyWH05SS9aF2UqXThbqK9ANavD9uCSBNPKL9cupF//d3rvHWgi3OOnsTXTp/F6MGVVWyyCB4CLgaud//+On0FtyZTm6p2iMhw4ATgRwWO+xxOz/YnVDXrhcatKv+loj6BYRhGBvKKdxH5d1X9OxF5GOeuYR9U9axALEuhnMK90kV7kIW4yi1smuqiWYjIRHxhVKKIL4eAj5L3vZqpZOFebaJ93ojCo4Sf9Tr4rmypxsaf177Ftx5+hVe2vM27pw7njo9Ubuu3IrgeuE9EPg2sx40QFZEFwBWq+hlgNvBvbki9ADeo6svuej/AiS5tEpFNwC2q+s/ArcCdIrIKeAs4v7wfyzCM/k4hnvc73b83lLIjVX0SeNLrdibcM1PuatnZ9hm00Emd9C1/K1r9fE3EF0alifhKE/CVQPuUZpo3tJdtfybcw8GLSDeCY+NbB7j+t6/x6MtbmTB0AD/55Lv4yLzx1VBBvmBUtQ1YmOH1pcBn3OePA/OybP91nGLL6a93Auf4aqxhGIYH8or3ZP92VX1KRBqAWTge+NdVtStI48ol3CtBtIch1gsh3a4gRU9yYmgivkBMxBdNOQvZhUkl5b0XSqUK90oT7SbUo0d7rIefPrmKnz+9lhqBL592GJe9bzoDG2rDNs0wDMPwiYJz3kXkDOAmYDVOeNE0EblcVX/rt1HmbXeIqmDPRarNQQkfE/EeiaiIrwSC9ML75X0PI3Q+qnnvJtyDI7JifV5Gx2m/IpFQHnhpMz947DV27IvxsZYJfP2Ds5gwbGDYpvVbRORGMqSaJlHVK8tojmEYVYSXavP/BpyiqqsARGQGTm9MX8V7f/e2V6Jgz0bQQt5EvEciJuIrBStk148JWLhHXbRHVrCncuBA2BaEyl/WvcW/PPwqL2/ey/zJw7jpoqM5aor3doqG7yzNv4phGIZ3vIj3fUnh7rIG8FUBa315PHJRE+7VJNizceSorSwLaOyoi3iImJAf02kC3iNBCfgoeN+rJXTed697PxTuFSHW01mVsdlN1ZOa1z5+6AD+/bwWzpo/gZqa6Kcl9QdU9Y6wbTAMozoppNr8x92nS0XkN8B9OKFA5wB/CdA23zHRXt1EVcRDBL3x5oX3TNQFfH/GhHtpVKRo76e83dnNf/5xFbc9s47aGuHvTjuUy983w/LaI4qIjAauAuYAvT+4qnpqaEYZhlHRFOJ5/0jK8+3ASe7znaRciKJOVIS7CfbgMRHvARPxRpkIquJ8JQn3KIl2E+yVRU88wT1/2ciPHn+DtvYuPn7URL5++izGDbVrd8S5G7gXOAO4AqdH/M5QLTIMo6IppNr8pYUMJCJXq+r3SjfJf6Ig3E20lx8T8R4wEV8QUfa+l7twXRSK1plw907VifYpU8K2IFBUlSff2Ml3H13Jmzv2c8y0Edx2xmzmTYrIb4eRj5GqequIfElVnwKeEpGKilo1DCNaeMl5z8c5QKTEe9REe/eBbuqbylsV2ug/veITnTFqBjSWNkhERfzg2k5OGv46T+0+PGxTfBfw8Y4uagc2+DZeMVRL3ntJVLFwL7dgL+tv3ejR5dlPCLy27W2ue3QlT7+5i0NGNnHThUdz+hFj+1W/9iogWYV5q9u1aQswIkR7DMOocPwU75H6NQlbuKd72p++5gnWL1nLIQunceJ1luoUFlH1xpcq4nf85B7an3+Z5uOOZMyV55duUERF/EnDXwcIXcT7JeDXff8B9j79KkNPnMPUqz5ecd73MPHV616lwj0ML/vvv/E0qx/fwIz3T+ED158Y/A5ffDH4fZSZHW938sPH3+C+pRsZPKCefzxzDhcddwgNdTVhm2Z45zsiMhT4e+BGYAjw5XBNMgyjkvFTvEemeXOYwj1TeHz3gW7WL1kLwPolaznuGvPAh001ifhEZ4z2518GoP35l0lcdnbpHvgkJuKzUqqAj3d0sffpVwHY+/SrxK880y/Tqp5KEO79TbSD81u3+vENAKx+fAPd/2S/dV440NXDzX9aw81/WkN3PMGl753GF0+dybCmcCNzjOJR1Ufcp3uBU8K0xTCM6qDqPO9hCfdcOe31TfUcsnBar+e90icz1RT+X24RX2iItBcRXzOgkebjjuz1vPsm3FMxEZ8RrwI+9f9fO7CBoSfO6fW81w5sYPjA8CrPV0rofMLPS08Awj3RGWPS5A7fxy2EsPPZ65vqmfH+Kb2e92r5nQianniC+1/cxA8ff4Md+2KcceR4vv7BwzlkZHPYphlFIiJfV9UfiMiNZHBuqeqVIZhlGEYVULB4F5GRqtqWY5Vf+mBP0URRtKdy4nWnVoXHvVrD/8sh4l/7zkO0PfU6I086nFnfPKugbSaM3lOQgB9z5fn+etyz7shEfLGkh8gDTL3q48SvPNPXnPdyhs5HoWhd0QQg3JPpK/s9nON+ELZoT+UD159YXo/70KHl2U8AqCpPvr6T7/12JW9s389RU4bxswuP4uhDLCW6Cljp/l0aqhWGYVQdXhKonheRX4rIhyVDtRRV/a6PdnkiDOF+5KitnivIV7pwTw//7z7QnWeLymPeiC2BTITjHV20PeUIzLanXife0VXwthNG7ykoBDdw4Z7KmM7Ae2EXw0nDX+8V8uWikOvAQSHyKf//dOEedr2OIGmfEhFPYkAe92T6itdzvBSiJNyTlPW3bubM8u3LR5Zv2sMnf/48l97+F7p6EvzsgqP4388db8K9SlDVh92nB1T1jtQHcCBM2wzDqGy8iPfDgJuBi4A3ReS7InJYMGYVTljCvT+SDP8HqiL8Pxd+i/jagQ2MPMnxCo886fCiPK2FiviyEmERX07yXROSIfJAb4i8ERIBHa+TJneUfI57IagbjRXHqlVhW+CJDW0H+OIvXuKs/3iWN7bv51tnHcHvv3wSHzpyvFWRr06uLvA1wzCMgig4bF5VFXgceFxETgHuAj4vIsuAb6jqcwHZmJVyC/f+KtpTqZbw/0LxM5x+1jfPIv73pbcFi1yPeIhkOH25Q+nz5b97CZEvte97saHzlZL3HjWS56Rf53guTLCnsXdv2BYURNv+GDc+sYq7X1hPbY3w/06ZyeUnTWfwgP7xW9rfEJEPAR8GJorIT1LeGgL0hGOVYRjVgKecd+BCHM/7duCLwENAC06++7QM20wGFgNjcQp23KyqPy7d7PIKdxPtfekvwj0Vv0S8n5P6yIr4CAl4IDL94cHf/79RBAF43dOjYUy4G6m0x3q49Zm13PynNXR0xzl3wWT+7rRDGTskWtfJakNERgD3Av+fvTOPk6K88//7O8PAMMMhMKCAcgjIISjqrGLixIhCoqIxboxms9EkJph4gNkcmmhMflk1aqLxigeribqaxKxrNopiQFQcDzSjoCCHgBwq4HAjczPz/f1RVU1NTV9VXd1dPfO8X695TXd11VNPdz1V9Xzqe40ANgBfVdVdnnWGA3/D8kItAe5S1fvsz24ALgT6qWov1zbfBH4DfGwvultVH4jThc1Y8e5nA+56hp9iSsUZDIYM8JNt/nXgv4FzVPUj1/IaEbkvwTb7gR+q6tsi0ht4S0QWqOqKIJ1ta2xiwIjcxBE6dCbh7seVOCpiJxW5znwfxRJzkRPxWbDCt7VlVhosVwI+rPrvkLn1vTPT1tREUQ+fOR5yINyzRWcX7Sf1WRN7fW8e+xEmLa1t/OXNTdyxcC3b9zUxfcLB/OSL4xg9qFfqjQ1hcDWwUFVvEpGr7fdXedbZApyoqk0i0gtYLiJPqepm4GngbmANHXlcVS9PtnNVfUdElgNfsOPcDQaDIRT8iPextut8B1T15gTLt2BdHFHVT0VkJTAU8C3et9/3GPU17/KpK1NzNgki2qNQQi2sWN9k7eRK2PcqbuSkPmt4Ze+YuJ/Pv7o6VpJo+k1VOemTQ7oiPt3ScGHQmUX8hyvruP/KVVxy+7jAbRSigM8Er+t8IMGbBrnOOL9/+w42XvUzyicfzaBvXpjeRgUo3J1rR2cQ7m5xHjrHHZe9tgPQ1qY8/e5mblvwPht31HP8iP7c/43jOG54v3x3ravxJeDz9uuHgZfwiHdVdVuDeuDKA6Wqi4GM8hCoaquIHCYi3T37MhgMhsCkFO8i8jR2jcp4FzFVTasejoiMAI4B3vDTQbAs7vU17wJ2puaQSyt5CSLc81FCLddJuZLtN5uiyJn4uUV8S30L6xZsAmDdgk25LU3kIpmID1IaLgw6q4ivmbedi25opbS8OHAbhVBSzk1Y1vctf3mEfcuX0mviZAZfkKbgjShtDVYN9bql76T3QKIAhbtz7Rg1bRhH5fjBZKZkVajHY9u23O4vAU7Zt1v+sZqVW/Yy7pDe/OGblZwydpBJRJcfDrYNSABbscI3O2CHdz4DjAZ+bFvdU/GvIvI54H3gB6r6YZJ11wOvishTQJ2zUFVvS2M/BoPB0IF0LO+/tf+fCxyClagO4GtYse8psd2R/he4UlX3ej6bCcwEKO4fX2wMGNHMp1UTYjWSsyXcg7rIe0uoZTOhW74Eeyrc/cpEGLnHQ8WQ9sfZLeJLykoYNW1YzPKeb48Hr4jvUBouy0ms4lHoIt49FgAqT6/ISLi7ybYVPirWd7As7vuWLwVg3/KltDWdn1TwRjFpnXssSEkJ2tJC+eSjs+JJkIpcWNyda0c+H0ymQ86Fuo17PETB7v7PDTu55blV/HPDLg7r35Pbz5/M2UcPoajIiPYMqRARd530Oao6x3kjIs9jzUu9XON+o6oqIok8Rz8EjhKRIcD/icgTqppsbvs08Gfb1f4SLKt+MovNOvuvCDBxUAaDIWNSindVXQQgIreqaqXro6c9F9W4iEgJlnB/TFWfjNP+HKwSdPQYcWiHi6uTmM5PpuYgZBLb7pRQcyzvYU+0oirYE5GJkHePh8Mnlce92cYmjDdVRW5i6xbxA04eG7O85zNRWWRFfArcY2HYhF6aict8PKKUyC6bFPXoQa+Jk2OW93wIXjd1w8op31SXekUX7e4Tww7TwZdfmt73CNnqnm3h7lw/tkXowaSXfAl2N+7xUJlAlOWC5R/v4db5q3lx9Tb8M3oWAAAgAElEQVQG9u7Bf54zkfMrD6N7Nz9VeA1J2O6Zd7ZDVU9L9JmIfCIig1V1i4gMBmqT7UhVN9sx6lXAE0nW2+F6+wBwS4p2/1+yzw0Gg8EvfmLey0XkcFX9AEBERgLlyTYQy1fsQWBlEBchb0b5KAp3h7BLqGVbsDfWZeZ+nC7u7/FokvWCcFKfNdCHhDHx+eSo/ps56rZKlnz8xQ7jNpdx8G4iJ+J9kC0LVjYFfFjW90Su822NTRSVJhewTtz74AsuTGlxLyT8Cvd0fqtU5Eq4A0yP0IPJKIj1qLG2dh+/e/59nnl3C317lvCTL47lW58ZSc/u2b+nGtLmKeAi4Cb7/9+9K4jIocAOVW0QkX7AScDvkjXqPBCw354NrEyx/kDgJ8CRQMztTFVzE19pMBg6HX7E+w+Al0TkA0CA4bhcWhPwWazScstEZKm97Geq+myqneWiFFzYmeQznWjlysJ+/5WrqJm3ncrTKzJKABYV4sXER4Vjhm5vFw+frzh4N0MG7i5IAZ8tCkHAe3ESeJZVHkXF976e1jadRbinhUu41975F+oWL6N8yiQGzbogUHO5FO4O+RbuBSPaR4/O2a427ajnjoVr+NuSjygtKWbW1NFcXHU4fXvm/yGLoQM3AX8VkYuBjcBXAUSkEvieqn4HGA/carvUC/BbVV1mr3cL8G9AmYh8BDygqr8EZonI2VjVlHYC30zRj8ewStbNAL6H9SAhGokaDAZDQZK2eFfV50RkDOCovVWq2pRim1ewLoi+KEThngm5dItvrGulZt52IJwEYFEiqiLemZgv+bgi73HwDoVshc8GUXehd1vf3Qk862vepa3xKxlblb34jXvPdcb5pHgs7nWLlwFQt3gZbTO/7Pu3yodwzxcFI9jdlJVlfRebdzdw1wtr+Z+aDykuEi4+aSTfO3kUA3p1oQdiBYbt3n5qnOU1wHfs1wuAoxJs/xMsi7l3+U+Bn/roygBVfVBEZtthqItE5J8+tjcYDIZ2pC3e7dj1S4DP2YteEpH7VbUlrM4Ul7R1KeGej1j20vJiKk+viFneO4twdxNVEX/M0O2xWNZ8x8E7GBF/gGwJ+LCt70WlPSirPCpmeU/Xdb4rUlTag/Ipk2KW9ygJdyPaQ+Ldd7PW9Cd7G7nnxbX8+c0PUZSvHT+My6eO5uA+mZe/NHQZnDnyFhE5E9gM9M9jfwwGQ4Hjx23+XqAEuMd+/w172XfC7lS2iIJoj0LyuUtuHxfI4p6rOPmwiKKId8eyvrszs7bCjJ03It4i6hZ4h4rvfT0rFvcwad3fRHG33PWvramJosM65i4bNOuCyFncoyDcC1qwZ5naTxu576UPeOyNjbS2KedVHsrlU8cw9KCe+e6aofC4XkT6Aj8E7gL6YIWhGgwGQyD8iPd/UdWjXe9fEJF3wu5QIjIVKrkQ7i31iRMMRUG0u/Erwgs5Tj5qIt4ZI8lqxKciXux8snMk3fOnq4n4eA+ksiHgw7C+exPXRVm4r3rjUXZ8/A4Dhh7NuBP+PetCvvahR6hb+k7CuPZsCne/96Z8C/d8ifZCePi77dMm7l+0jkff2EhLq/LlY4ZyxdTRDB+QNDevwdABESnFinEfDQwFHlTVU3y2MQS4U1W/EmK/vgmMUNVf2q8rVfXysNr37OtKrPJ+9dlo32DoqvgR760iMkpV1wGIyOFAVoMcnUnRhpufjNV4H3HVub7byaR+O6SXOKj6mhdipeKqbjiQRDRqoj0IhRon70wWG+usYRo1Ee/gV8THqyG/5tbnEibCC5IkL2pJ7draNHYcwxp7hfxAKhlhZFbPhNb9Tez42Hquu+Pjd1j5eis7tyyPCfkwaGtqiiXg2793L3VLrf0FjWt340e4+zm3WhuaOWbo9sD9ypRci3a3WL9z9lreeHYnJ5zRn1l3hJxgrqIi4ya2fdrEnJfX8d+LN9K8v41zjhnKrKljGFFhRLshMA9jucxXA6cDE4DZfhpQ1c1AaMI9D1yJVWjIiHeDIUT8FCP9MfCiiLwkIi8BL2C5AWWFDTc/yfLzbmH9Df/DnuoVAOypXkFrQ7OvdoIK9+prXuDxqY/w+NRHqL7mhaTrttS3sHHhegA2LlwfE/2FINwdQZQMJ04eKJg4+Ttnr+XiyW9xxeeWcvHkt7h48lvcOXstYE1iK4tX5bmHHTmq/+a0rHLFPbvTfaBlgXX+txPzrnOkg9D3cf4MGbg768m60uXDlXVccezrXHHs69x/ZebHzvtAynseZOPczYX3z/b7HuOjy69j+32PtVvedIj/1CT1hwTrQ3G3HgwYajlp9R8ykZ1blgOWkG/dnzTHaVrs376DjVf9jNqHHqH2oUf48Lr/R3H/vgCB4tqD4ufcWnX9Uyw++w7mX12dk765OanPmpwLd+f6e+fstTTWtfLGs1aM0BvP7kx6z0nnftSB4cODdpNP9jbyq6dXcNLNL/DgK+s5Y9JgFv7w89z21clGuHdhROTfReRNEVkqIveLyAki8q6IlIpIuYi8JyITReTzIvKyiDwjIqtF5D4RcebVp2EleJ4FvItVPx4R2SAi/09E3haRZSIyzl5+sr2/pSKyRER6i8gIu/Y89r7/aG+zREROsZd/U0SeFJHnRGSNnSUfESkWkYdEZLm9TSJX/cPsef0aEfmF6zf4D3vb5bYFPeFy+zd5RkTesZefLyKzgCFYuuHF8I6OwWDwI95fBe4H2rDKY9wPvJ6NTrU2NMcE+97Xg0+iM7G4O2Ic2gvyeJSUlTD81JEADD91JKcN/aAghPv9V65KWwxdcvs47nr7xKQWykATryS0tQXbzj1Z3LnlwITamTg6E8u3fz4vknGfqUR8a0MzzdusxI7O/wEnj439d7vwFvfsnvCzdImSiIf4Ytsv6TyQCuMcTnbdCEKyhJ4ds9BnLpT9sG/Igd9w3An/zpSzr2f8lItiQn7A0KNjrvN1w4ILo7aGBquNpe/ELO6tO/dw2D1XBy4F5+BnnKd7brlF/roFm0IfE8nIx/XNK9YBTjijf+x/ooe/znUZONzXDlcmLbMdl827G/jF35dTdcuLPPz6Bs46ekhMtI80or1LIyLjgfOBz6rqZCwP07FYdeOvB24BHlXV5fYmxwNXYFnWRwGOe+hHqlqJlc3+c7hqvAPbVfVYrLxRP7KX/Qi4zN5nFdDg6dplgKrqJOBrwMO2az7AZLvPk4DzReQwe9lQVZ1ob/PHBF/5eOBf7X6eJyKVInIc8C3gBGAK8F0ROSbRcuCLwGZVPVpVJwLPqeqdWMn5TvEbLmAwGJLjx23+EWAv8J/2+38D/hs4L+xOFffsTt+qCTFXeSD2Oh3xkamFyxHjjoAffurIlK7zVTdM5Ue/WVEQVmkI5gqf7PNsuCBvXFHPnbPX+nazLC0v5oQz+vPGszvpP7h7TMA7E8h2VqAbWyPtTh/Pld4RDY67bnHP7oy79uyEpeeSfeaHzhYPn07ixkzi3+OF0mSr7jv4z0KfbRyhbsW8nxdazHtRz560NTRQPvloGjdtoHXnHor796XbQb1Tb5yEIA+o0jm33FUmRk0blpP67fl8KOm+/jpifdYdo2m8MfG55hb8QD9fO6xP3yP3w5313PPSOp5460NU4V+PPZTLThnNsAHZLzdnKBhOBY4D/ikiAD2BWuBXwD+BRixrusObqvoBgIj8GTgJeAKYJCLOU2YBVET2Ar2AG7GS173FAbH/KnCbiDwGPKmqH9n7dzjJ3gZVXSUiG4Ej7M8Wquoeuw8rgOHAe8DhInIX8AwwP8H3XWCX1UNEnrT3o8DfVLXOtbzK/h7xlj8H3CoiNwNzVTX3LkYGQxfCj3ifqKoTXO9ftC8SWWHEVefSOmtGbFLkfp2MsFxTq26YypRr0o95t6x0hSHcoX3JuGOmDcjooUM2Y+Idge20l27SI/dk0Rsr7Z1YOkRRxCeKh48nGpKdH2GWpcuHiD9sfDkVh5ayZMGOjMerm3TaCSLgvaE0U65JnMwyTKKahT7MZHXdKgYw+PJLAdh41c8Ay/KeSax/Jp4lyc4t5/x1V5nIJvmytHvPo3hiPdm55hb8wK6w+7i29lPueXEdf39nM8UinP8vh/G9k0dxaD8j2g0dEOBhu577gYUig7GEdwmWFb3O/shb4kJFZCTwAVai510i8hDwkqo+JCIbgEp73Vbsebiq3iQizwBnAK+KyBewHhSkg9vNqhXoZu/3aOALWInzvgp8O862Hfqf5j4PbKD6vogci9X360Vkoar+ym87BoMhPfy4zb8tIlOcNyJyAlATfpcOkK4wcQg7prSkrCThZMsd114ILvLxuOT2cRwzbQBLFuzIOI44WzHxboHtjqNMB2e70vLidn2adcdoHlx6XEKLflRc6d3utfFc6fNdJz4dwROW6/ZB3Zr477uKQxuv2cYbSuO+jmR6nUrmOg+JM6sHiXsPkzDi3R2KevSAgY2UT5kEZBbrnq2QEO/56h4D2XCdz8d1K9k12e99wLkuY4me9ClJ/EBk+cd7uPSxt5j2u5eZt3wr3/zMCF7+ySlcf84kI9wNiVgIfEVEBgGISH8RGY4VKvpz4DHgZtf6x4vISDvW/XzgFaxycHXAHhE5GCthXVLshNDLVPVmLAu/14WxGvi6ve4RwDAg4eRTRCqAIlX9X+Ba4NgEq06zv2NP4BwsD4Bq4BwRKRORcuDL9rK4y+2s+PWq+ijwG9e+PgUyc4kyGAwdSGl5F5FlWE/iSoDXRGST/X44EJkZdK5quLfUt7D4hmo2LlxP5ekVnFzAWaob61pZsmAHENxi7naXv+vtE0MV7sMnlMUE9u5tzR3c3TPZV6pt822Fn391dczNdvpNVbHlmZSXywbJrPC1d/6FusXLEpbv8sOmTa1MHFcbe5/ueA2rPFUQ67vjvZMLi3vU8ZaOy5TavzwUG1vD/3Bd5IW7m0TndlDyWfot02uy9/wMdK4edVS7t6rK4g92cs9La6les53epd247POj+fZJI+lfnt8Hnoboo6orRORaYL4tyFuAvwMtqvonESnGmgtPxcoB9U/gbqyScC9iuZW3icgSrDnyh1iCOBVX2kno2rBc3ucB7hire4B77Tn5fuCbqtrkca13MxT4oyuB3k8TrPcm8L/AoVix/DUAtrfAm/Y6D6jqkkTLbS+B34hIG9bv9X378znAcyKy2cS9GwzhkY7b/Iys9yJDvMI9Wb11P+t4cWJYHQqpbFo83K7zQSzmHd3lwxW6RfYtxykz5MSve93d4wm0sERbPkR8S30L6xZsAuwEV3HcbaMu4tsam6hbvAwIp3zXnj3tPfnOnFHKjIHreb4+cT6EsPMwhFn/PWjsu9+a4plSfwiUbc2sDW/puIzj34ta242tiplfzqyDIZNMuKdzbvsharHtfvjdZWuomb+rXfm4QIkoN1u/d1ub8vzKT7h30TqWbNpNRa/uXPXFcXx9yjD6lJoHaIb0UdXHgccTfNaKlbANEfk8sFdVO8yTVfWbCbYf4XpdA3zefn1FnNU3ABPtzxuxksV523sIeMj13t2XRNb2uNt6PrsNuC2d5ar6D+Afcda9CztO32AwhEdK8a6qG3PRkaB4hXuieut+1/HizUAPhVM2LRnpJO1KRKbiPx28meN//9pkDhp4QLzEqx+cjZrCuRTxJWUljEozwVWipHb5wi3iy6dMillHM43B7ttX2LNHOXNGKTf/tg/l5daTndPK1sYV8NnMw5AuQa4zydhw85OxxJ0jrjqXXVsLwxvRKR3nWN4zjn8vklDGVjas7qlKPfo5t5MRldCeVInoEnG7LdzhgNV+zs/WO9d6f9nmt2zhrzUfMuflD1hbu4/D+vfkP790JOdVHkZpSWHfnw0Gg8Fg8OInYV3kiGdxT5UkKmgiqdOGfsA6l1C96IYxBSncTyuLEy+eIPQvmVXTIRPxnw5e645buMdz23Reu5eF2bdciXg/Ca6iZoUHWxjNuiBji7vDsGHF/Pl/+sdEu5t4Aj5bD5bStb6nc53xY313l8/cU72C1lnBHKKaDmmhx9bcWyHDzjg/KMOxlQ/h7pBp8rqoCHeHIB5b/5x/ICdd5XQruXzgbPPAT554l/GD+3DHBZM5c9JguhX7SedjMARDVV8CXspzN/yyFMuibzAYCpTIi/dEbqLxYtzdJd4SlXdLZx0vTkK6bAvVMIkr0lNQV9fWThy52/B+5hZL8X4Pt9t6UBf2XkXNVPXcBAmsO4ncNjNx5UyG+3skEvHecIwg4RkOznbpthE1ET9k4G5aG5r5ZN+gUNrzCnf3mDxR36e8vIi520bGjlEY52u8sZuOgA9ynUmGt3xmcc/usKf9OplkWw+LfUOK6bU5vutzmBnnIX5ivnR+g3wKd4dk4yHR+e5cc8IKCcoHVT03UdfWxoyzSpn7dCOnTevOH/7QA/g4towA2eYf+fbxVI2pIEn8r8FgAFR1ab77YDAYMkNUfVeFyBplY4boEbdfHHvvdRN1SJWcLqyY90LJIh9EqBftbKOt/wExdPn3d/PM3EbOnFHK3fe2Tz6W7DMHt5h3xxoDsdc187a/paqVcRuIw9FHlujc+VYb1Q3DEq6XzZh3h2Su+I6A9yaiCiMxVSZt5FvEr7r+qVgt+nHXnt0uqd36f7vG11g46sgSfeofFbH37jEJ8MzcRgYPLmLLlrbQYtyTxcynG/ueznXGT+y792Gm4zq//b7HYvXdK7739aRt+LW8+415TyTevZRvsiotza/5pa+x0OPwoTr0hss6LE83QWLY4t2vcE9GovPdEe7ZCAnKFlU9N3VYdun3dzP36UZmnFXK/v3Kc/OamHFWKffY95W6ujYmja19p0V1crr7qZwwQWtWZK1qrSGPiIiva0OW+nAY8AhwMFay5jmqekcW9lOMVcHp43gx9Bm2fRDwAFb8vALfVtXXQ2z/B8B37LaXAd+yY/QNBkMWiKxvWQc30YZmIL2s8ulYuUrKSpKW64m6cD+tbG3sLwj9r9sbe11X18Yzc63r7DNzG6mra0vrs3j9OVHfbxdr7H6NT0+P4o8PiICqnpviTgaBdhZ+77JMcNrr4J7vSap0Up81VBavapeIqn57ffvEVAFKQ3VIbuWzjTBFhV9aG5rZscg6h3YsWk1rQ3NGoqmbayx4x6TzessWa2zWzNseLPGVC2/MvLe9dK8PYWeaj+eF1NbYRH3NuwDU17wbWnk+h/pDrP+tzeG2WzesnP2t4bTZIUFigt8gysI90fnutrgnuw7lG+canehaXVfX5ljWmft0I8/Na4q9du4r5eVFjIDDctZpgyE1+4EfquoEYApwmYhMyMJ+ZgMrs9AuwB3Ac6o6Djg6zP2IyFBgFlCpqhOBYiCz8jIGgyEpkRXvjpsoEHMTDbMcXPU1L/D41EeovuaFdsujULc90aQsU8Hu0O2D/fT6eyPd1u8HrAmTY8E8c0ZpO/fkZJ/Fw7u+Y33vd0h3sG4aaVO0R+n2wf52yxJNDP3WgE+Fuz3HPR9I6orvrDNq2jDKKsoYNW1Y7H0QEeckt8qkjXj14XNBcc/uDDjZsk4POHlsTHQOGbg7kIAq2qMJx6vzevDgotiyGQPXx28oTZyYeUicmDLf1wmHotIelFVa5bLKKo9K6TYepN77huceYfmcn7LhuUcC9TEeq954lBeW/Br8JiiLQ1Fpj5Q136Ms3CH++e6Ob0/3OhSUIA8Dkol1Lz/+0YEHxoOHFDHjLOu8nXHWgftKtw/20xf6++rEymzpHYMBVHWLqr5tv/4US/gODXMfInIocCaWdTxURKQv8DngQQBVbVbVsGOHugE9RaQbVhal/FkODIYuQKTc5nsMHaDj51zabpnjJhqmcK/fUc+TZ/459v78Fy4ErKR0jrt17cYG+lRYgqOpvpW+A7uzZ1szPcqKKS0v7uCWnU6Mt3f5nm3N9B3Y3pLmuOoeM20AX/nxCP5t/MftPt9Wu58ye6LjTHi88ejuZXV1bZT3FKThwHHu81/19Lt1H7t+2Iu93z2QrW5fm1Leuzi2j/LyIrbV7mfgoG7t2nP27d2v+7379bba/Rx/nGXFVNW0gxIrRXThj3rxqauP2lOg6EAT1Q3DaKxr5eLJb8WWPbj0uIzjnOO1l+i4ul1ZZ954IOb6lb1jMop5d6jfXk9ZRYKsgj7JtSt9opwVr077zRJVTVrGxk2liC5IMF7BM94T5GYIQqrwi7BKxwUpG+ewa2tvX27z4M91vq2piXX/eaBE8MSZv6a4e+IHBOm4zbfub2LxU9fG3vu5LvQYMUSH/vry+H1NEvMepngPItzTvRa01LdwyiEbAH8hQY74Tvfa524nlTv+7m3NsWShVT03xfXASnU/Gj+2tt2ylasHQZvSy3U97/1f9Zz6233U+LxP1ERoHmMIjyi4zbsRkRHAy8BEVd2bfG1f7T4B/BroDfwoTLd5EZmMVW99BZYB5S1gtqrWhbiP2cANQAMwX1VT34QMBkNgIiXeRUQBjp57bbvlYVvcNy5cT9mgcuprrWuX87rfId3ZtbUZKQL1zE3cy5z1nFjYRDHe7jhZb/zsT05+k11bm+l3SHduWXQ8YE2mrji2fRhSaSmsXGP5rX7m+NqYazDQLt7XHY/uxAM7McBnndmDR47oRt8765A482otht2ze7FnVjmfOXFbbB+lpdDYaFk0X3tzUKxdINa2s99UcfHjx2ylsdG/eK9x9XHv7F7snV0OxR2bOG9mc6ixoOnGlqbz4CCTzPRhxM3HI5/x8E4sfCZjwRmv8caCl0wFfCrCEPCZiPcdG7rz0eXXxd4fevevUlrf/ca91z70CHvWLqXv6MmM+OKFSddNN+Z91RuPxuq/+xkLIqKp4tq95Fu4+zmPg8S3O+sCvtZ3Hjgmu4Zd8bml7NzSzOAhRbzx5qBY3LoXx5LuxLTf47kPuLeLfd6q9Ll9H31c96ZKMOLdAERLvItIL2ARcIOqPhliuzOAM1T1UrtufNjivRJYDHxWVd8QkTuwatP/PKT2+wH/C5wP7Ab+B3hCVR8No32DwdCRSIp3YDWwLwu7GET48XTvkNgdfAnQhhWecIxr+TJgkqcNxz98FOBVv8vsdlK5nS+x/x8T77M+UDYCDi+B2My9BVo2wAd7rd/7YODQBG17++zG+xs439uhm/O5n0l6hYiOAJpBN8L7e1OPiSLPflPuAtgeQnuHY5U32gV84KP9VHjHjft3zbTtVGSr/dh3yvJY8Euh/p4O47HcFb1jMCwqgJ34O79SEWgsuO4T3utMWIR9rLzn8YdAbYJ1E22T7Lt61/W7/hJgBPGvYbFrt02y+4CXeH1wTPLtlveBXsPhiO4gG4Dt/sbDNmBjuusbCorhqjow350QkRJgLvAPVb0t5LZ/DXwDaw5YCvQBnlTVfw+p/UOAxao6wn5fBVytqmeG1P55wBdV9WL7/YXAFFW9NPmWBoMhKJEqFednAhcEEalR1cRpy8NpP2tPiXPUfmSSBfmZwAWhkI9XIfc9CGYsdO72/ZCj+0TB/paF3r5foiDuDJ0XseoPPgisDFu4A6jqT4Gf2vv6PJblPRThbre/VUQ+FJGxqroaOBXLhT4sNgFTRKQMy23+VKys+QaDIUtESrwbDAaDwWAwGAwR4bNYlvFlIuLUSP+Zqj6bxz755QrgMRHpjuVZ862wGrZd8Z8A3sbyHliCFWNvMBiyhBHvBoPBYDAYDAaDB1V9Bciqt49rXy8BL2Wh3aVY6SSygqr+AvhFtto3GAztiWypuCyR7aeBpv3CopB/z0LuexQp9N+z0NuPEoX+WxZ6+waDwWAwGBIQqYR1BoPBYDAYDAaDwWAwGDrS1SzvBoPBYDAYDAaDwWAwFBxGvBsMBoPBYDAYDAaDwRBxjHg3GAwGg8FgMBgMBoMh4hjxbjAYDAaDwWAwJEFEZpr289e+wWCwMOLdYDAYDAaDwWBITrbFqWnfYDCkxIh3g8FgMBgMBoPBYDAYIk6kSsWJSMLOVIzthxRJ0u17FTem3EdbG2xcUR97X9anmIOH9Ui6Te2mJur2tlLep5hBSdaNt94nm5qo39saW+fII7sB8N57+9stKyq2+9fa/jOAsWOLKSoSVq5sv3z8+G7tlsVr2/1Ztwal+MNWpOXA8mZgPbDP3s/q1a0dtiXFZ95+9Okj7N2r9O0rDBtezP4WYp+ravKD6KJCREfYfawtFz6pOzA8Uv2Omza2smfPgT4A7Gvrnu6u0z7mDt5xNXxCGUVxHo2lu563Hz16d6fPob3S7n8i9n60j6ZPm0NrLxX1+0viLq9b88l2VR2YbjvuseCMV/fxhvjHPCje89C7Lwc/YyoR6Yy1RONmX2tpxvtPRewYqlK3tja2vHz0IJC0T+d2NG7ZTeu+pth7P9cF5z7R74gBsXuCtim73t8RW8f9GUDvNO4NUaJPUfz+btrkGuPDEo/xdNcLQmsbrIhzjwGYcGQ3ihNcz5w+OfcHNxNHFlO8oZVuChuA7QHvE861IRHJ+peMvW3ZP8/88GkOzvt0aEhwfU+EtrXR+MEnsfelhx+M2DfA5q27aN3XiHQrQve3HdjGz1ioqNARI0b46pMftm3bxsCBad+2TPsh8tZbb/maMxgMnZnIiffyg8uo+6SeUdOGAbBuwSZGTRvG9JuqUm5/Up81ae3n9svW8M/5u2LvH1x6HKXl8Sc4jXWtXDz5rZTrxlsPaLfsi6f3YM5/9QPg0u/vZu7Tjcw4q5R77j2oXVvOZwClpfD+2kMAOOH4WrZstm5qznbx2nGWDR5SxJbNbe0+631vHQfd8GlsX3+Y0I2LV+yPrePeR2kpNDbC4CFFvPHmoHb98rbtfPbF03vw3LwDk/KVqwdRXl4Ua9fPjbhSRGuAHwG32r/fc/Oa4n5X97K6ujbGjz0gMpId33ike8y93Dl7LW88u5MTzujPrDtGZ7yetx/fqf4qJWX+JktuWvcehNEAACAASURBVOpbeKDqr6G1l4p3dw5J+Nmr037zlqpWptuWMxYeGFvMd1e3djhvvMfcGXeZkOwcBahuGJZR++BvrHnHzSt7x2S8/1R4j+Gq659ix6LVDDh5LOOuPTtQm60NzSw++452y4KI9/NfuLDd+K2+5gU2LlzP8FNHUnXD1HbbnNxvdaC+5ovTytZ2WFZX18bEcQfG+PJV8cd4uutlwuXf380zcxsZPLiILVus+8WZM0q5O855Eq9PXzi9B/+w7xPOdqV3fsohv6mjEqjJ4D7h5swZlsh9Zm5j0v4l4/n6xNfofLBo19h8dwGAZdsH+96mtaGZ5efdEns/8X9+QnHP7h2Wu/E1Z6is1JqaGt/9MkQfEfE1ZzAYOjOREu8Dx/XX8/50Bi31LbFJmft1MtIV7g6/u2wNNfN3pRRQkJkoc5a5hbtDXV1bwklVXV0b27a1MmJE++9eW7uf8vKidtvFa8dZ5v1s0Jd2UPJeC3vO6UnfvzXQMqmE9Y/1a7eOex+1tfsZNKhbu3aBuJ857xOJnmGHbn1HVScn/AE9jC4Rfa8NatrgJrutZN/V/f7HP9rL3Kcb0zq+8Uj3mHtprGtNS+ins94re8cw/+pqXw+wUhF2e/FIJtod/Ir34SL6fhFwbPvx6j72qcR2EBKdo+kK93SOs5+x5m4vH+IdrAl4cc/gHgebtx1E7Z1/oW7xMmfRblXtl2wbNyKiboHu3CNa6i2XokT3i84g4B3RnEqIprteJrjvMUDKBwTePnm3O+ScHbCkhbFtsNGHYBvdXfS9Vus+cZ79MOHMGaXc/Ns+ca8Tye67XqIu3NOdH4VNEOHusOHmJ9lTvYK+VRMYcdW5HZaXVPShZfte+lZNYE/1iiWqemy6bRvx3nkx4t1gOECkxPugCQP0K4+e7mublvoWTjlkQ6D9pSu0/Kwbbz1nWVXPTYH6GRbFW1qp+MYudt7dl5ZxJZSsaqH/5XvY9mg/2g5J/t28Ex6vUPK+jzdBGnboVl8XXxHRS0/uzq1bWtnxp/4p++ju1wln9GfmjSN9Wdy9eI+ln/GSKW5h5p2gZTphy+aELx3hDv7F+8SJJfr8HX3bjVf3mPuNPVH3MzEPSjzhHm9sBBXl6ZAv4R4Gm7dZYrKt0bK8bvz2r3yNhf5jK/TMR84BDljbywaVU19bF9fq7lBo4r2xrpUZA9d3WJ7uGM/FueCXeA9ay8uLKN7SysEX7mLbXX05dNoOX4LtqKNKdN5tfRlw2W62PdafrUXKQNdDZTd+HmpEXbgn8zTJJukI91QP+BJ97ix3/r8z43p/HlpGvHdajHg3GA4QqTu7tvl7kDD/6moeqPord87uaKFIBz+T5XTXjbdergRfSlqh9ukBtIyzvRrGlVD79AAkfih7jEu/v5vxY2u59Pu7AWvC5bjPz326kdra/e3euydo1Q3DYn8EGG/3LGpm4//0T9lHoF0/3nh2p99ddcB93O6cvZaLJ78VeKylyyt7x3QQZm6h7Yz5+VdXB95HNoT7uzuHZE3sObjHq3cMOuMzH8I93thorGuNjcE3nt1JY13yAVwIwr21oTnjdh3hDlBU2oOi0tT5JLw4sewt9S1sXGiJ2/raOgA2Llwfs8B7iYq7cTrcf+Uqrjj2dc79dsfvku4Yj5pwB9pZ6i///m4mjqvl8u/vhlbY8lTs3tSWtBEPrW2w+7BiPplbwXVX7+X447ZbbXqoq2vjmbnWNeOZuY2xfsQj6sLdPfaTjfkwWbZ9cFrCfcPNT7L8vFvYcPOTCddJJOyd5UE9ez7ZW1i5LQwGgyEIkbq7b1+9K21R0lLfwroFliU7nclxFAgjRjYTWg8tRnu290bUnkLr0MTCwSuSHGE+4ywrlnDGWaUMGtSt3fu3i0a4BTuAI2yO8dvnwUOKKBtQnLSPAOfNbKby2O30H2zd9E84o39oD038CrGgpBJl7jG/bsGmnEzY0iHboh2s5HGXfn93bLy6x6CDMz6zRSKLe7yxUVpezAln9AfCHYu5EO7xWHX9Uyw++w5WXf9U4Dbcwj0MSspKGH7qSADKBpUDMPzUkXlxIw6TxrpWauZtB2DJgh1xBXyh4gj2783c1U5I7+0nHe5N6bLivf1MHFfLJbN389DCplib3mtBeXlRLAb+zBmlCR9uRF24Q/uxn4sxn66bfGtDM3uqVwCwp3pFKA/8/LB9XzO763O7T4PBYMg1kRLvkL4oOeWQDVmZHBva4xXqzoTnnnsPYuXqQdxz70FUNwzja7cdxYNLj+Nrtx3VoQ23wPHLls1tSQVZdcMwFmwfGmt/55Zmfv/a5EBx7onIlhBziGdtj0dJWUkskeOoacMiIVJyIdwdvOLcGYPxxmfYJHrwlmxszLpjNA8uPS7UsZgLvMe0taGZHYssl/Mdi1YHmpCHLdwdqm6YyvkvXMi5T13A+S9cmNJ9uBCs76XlxRwzbUDs/ZIFO5i7bWTkRKVf3Jbvf8xr4gtftLwukglpP6TT5t33HsTyVYMSusxH7TdONl6dsZ9tl3k/8e3FPbvTt2oCAH2rJmSUGyMIbao89kZ+wxMNBoMh28QPDMsjqUSJOzHdrDtG03hjduKQU8WgBo1/rm4YlvfYd7/cc+9B/Oa37WMVqxuGWY9+Gg6sl+j3cAROEAGfSJC5xZS7/RPO6M9BA8OfMGRjrAWxok6/qYqW6/KTpMhNLkW7Q7yxUF5eFHd8hkkqj5lkYyPf48Uv8Y5rcc/uDDh5bCzLfK4n5KlwzoV8nxNhcund47nn8pUsWbCDytMrYuPo+frRcRPZBSHXMfGO5dubtC5OHwJ1KkWb7foRj0IS7g5Rsbi7GXHVubTOmpGX60SvHt146LUNfKdqJD26GYOOwWDonERKvFeM7Zc0A3a8jPLZEO6pEk0FzUReyLxdNKKdUPfLrDtG8/Vn31zid7u33mpv5UskpLL5IMchKq7P+RYp+RDu0HEsuMmXcHfItudPvhPUjbv2bFp/GCzLfLas7kFZtGtsQSSvu/Tu8XEfEoch4HORjT4ed997EDe7HrR5z1s7Vt13eNXBB0vsewS5FkRJuEfFOySTjPJhCPddW3v73mZg7x5s+7SJvy/dzFcrD8u4DwaDwRBFIuU27yQiioffUnBBSRXfnE78c6qY6HzHvqfCnWTOG7ueIb4DkrdsbqO2dn9a/SiE0Il8xSyHQS6S0iXDGQu5IirnaVTGTGcQ7oVGomva8/WjAwtOP4nbskGy8qhOv/zyySfKtoDXBiPcO5KJcA+DIMIdLMv7uEN682D1eqJUSclgMBjCJFLiPRG5Eu6QOr451efpZiUPWRRnRLpCPR9JAbuXFrG69+E532/YpBvX7odcJqzLp2h3KC2FQQlKQIVNVM7NXAn3bBzfjz7sGXqbyfBzPkRFJGVKEOGZbuK2XFNeXsTgwcH6UlpKwvJwyZi7bWSg/WWDqIzJQhXuDt+tOpzVn3zKy2u2h9Qjg8FgiBaRcpv3kkvR7iaVC3aizztY5dNw485lDHwmgiRfoQLNjW05ra8eNtkSX/Ovrmbdgk2MmjYsaahJpkRBtDs0NuYmTjcqwj1XZOMYL/35c9QtXkb5lEkMmnVB6O17yVfN6ygQxI3e674eBerq2tiyJZgXgN9rw/P1o7n/ylXUzHudytMruOT2cYH2GxZREO6FLtodzjp6CLf8YxVzXl7HyUcMDKVNg8FgiBLRuXN7yJdwd0glFhMlpwqSlTxs9/R4bu+ZtJ2rUmnxKNRKAtmwtDvkqmRclIQ7ZDebvEOUhHu+49yD0trQTN3iZQDULV5GW2NT6PtwE7TmdRQEU1gEcaOPknCH9h4BfvHrQeAux1czb3teS81GYRx2FuEO0L1bEd/67EheXbuDZR/tCa1dg8FgiAqRtLznW7hnQqaJ06IkHhy82dxzJaaHTygryISA2RZdTsk4x/IedgK7qIl2gCOP7MY9WU6sFaVzr1CFO8An+wZRPmVSzPJeVNojK/txcGpeO5Z3P+dDoSSvSxdHwIeVkT7X3H3vQTwzd6uvxKYTjuzmK+ne8/WjKS2HytMrqJm3vV02/1xjhHu4wt3h6ycM4/cvruW+Rev4/dePDb19gyEIInIwcCMwRFVPF5EJwImq+mCeu2YoMCIl3nsVNxaUcE/kzl2IluJUZPJQIqjbe1ECQ0pU3ehzmVgsWyXj4tX4jkJpsKIsH25HuGdzbKXbdlQS1AXBSVA3aNYFtM38ctaFu0PVDVOZck3+SyhGBceVPtfl4NIhjT758p0v9vH13N4Jl9w+jotuyN+9JBvCvaXe3zmQK+Ge6D6SDeEO0Lu0hH+fMpz7F61j/fY6RlaUZ2U/BoNPHgL+CFxjv38feBww4t3gi2jd1QsIb2K6fLrd5Yogk5x0E/jFoy3OFC6T9rJFNl3kkxGmUImXSX7V9U+x+Ow7WHX9U6HtJyhtWTy9HOGezbGVbtuFnKDOm1k+V8LdIej5EAXrZzY4b+Z+Jo6rdcqvZQ0/2eov//7u0PvUmubu44UVdCbhXn3NCzw+9RGqr3khrfVzJdw33Pwky8+7hQ03P9luebaEu8O3PjuCbsVFzHn5g6zux2DwQYWq/hX7AaWq7gc6v3gwhI4R7z5wBLo3Bvz2y9YEmvR3dsHv/Z3wOd42rqhv95vmM/Y+HvkS7WETT8i1NjSzY5HlTrxj0WpaGxLXWM8F7723n0uzIELcFvdsja2ojdsohkXkm84m4N0x3c/MbcxaVnU/YtxHiTpfHoEr3tufcv+dvRyc37wPubS476leAcCe6hWx+0i2hTvAoN6lnHfcofzvWx9RuzdYCUKDIWTqRGQAoAAiMgUwiRkMvjHiPU3cljN3YrrK6f345/xdQOqJufuzKFqQw8abwI8Add7dv2nQhIDZoLOI9kRCrrhndwacbE0yB5w8NhKu83OfDrcmtTvGPZtjK922CznO3dRzjxal5cVUnl4BEIvpzqQ2vJe6ujbf9eLTKVH3meNrAY72259k++/swh0O5H0AUuZ9yGWMe3HP7vStmgBA36oJFPfsnhPh7jDzc4ezv62NP7y6IWf7NEQPEekvIgtEZI39v1+cdYaLyNsislRE3hOR77k+O05ElonIWhG5U0Qk3XY9/AfwFDBKRF4FHgGuCPGrGroIoqrprSiyUFVPTbUsEw6fVK7X/21iWM2FRmNdKxdPfiv2/sGlx1FaXhyLYXXKqP3L9H5c+fv4E3B3qbWZN46M215nxfmdvj7mzbdUtTLd7UREAX7/2mQOGnhAPOYz5r1QRbs3FjJdEZetmPdXp/0m0FioebsilFrviWLc8xXz3pnc5f2y/t+u8TUWBowfqGc89KWM9pmIzpS8DlKP5yCJ7S7//m6emdsYE+LO61RJ45xY90Qx79tq93P8cZa3gKpKuv1xrg1vvlXRodZ7MuGe6/tILrw7UsW85ys5nXMf8SvcN33nKl/XhsrKSq2pqWm37PI/vc1Lq7fx6lVT6WtyYhQsIuJrLHi2vQXYqao3icjVQD9VvcqzTncsTdQkIr2A5cBnVHWziLwJzALeAJ4F7lTVeem0G6cv3YCxgACrVTU75YIMnZqUlncRKRWR/kCFiPSznzT1F5ERwNBsdzAKJLKcOf9n3TE6ZoGPZ0mP4z4eGQtyLsj0+5WWtd8+H79XIbvIz7+6mgeq/sr8q6uTWtvjEQWLu5swkm8li3HP5tgywj36dDb3+VTj2a813mttv/m3fVi+alBK4e52r090Dg8c1I3Bg4Of32WedpN9r/uvXMUVx77O/VeuCrw/P+RqXEVRuAM5t7i7ueyU0exr2s9Dr23Iy/4NkeBLwMP264eBc7wrqGqzqjp1TXtg6yMRGQz0UdXFalk7H3Ftn7JdNyJyGdBLVd9T1eVALxG5NPjXMnRV0rlTXgK8BYyz/zt/fwfuTrWxiPzAdkFZLiJ/FpGEhVxb96fnBZBLGutaaaxrZdYdo3lw6XHMvLFj7GBjXSs1SVzn44l/p71CLIUWhKACJd8PNwpZtEPHmvD5jl3PhDDqvOcixt0PRrhHj2wJrXznOkhGKhHvuKR7Xd+dZfHWdb9P173+tTcHASzz23+vG34qi3sua7xH4YFQPoX7rq298ybcAcYP7sO0CQfzh1fX82mjMXJ2UQ5W1S32663AwfFWEpHDRORd4EPgZlXdjGWk/Mi12kccMFym1a6L76pqLEGHqu4CvuvrmxgMpCHeVfUOVR0J/EhVD1fVkfbf0aqaVLyLyFAsV5NKVZ0IFAMXJFp/06oGrvjc0nbL8jnhcSxzjnVuzs/Wx41TTyemNZ5Y7ywW92THKFPx6wisbBPvO+RbtKdKOpQOJWUlkYtdD8rcpy0BEDTuPVcx7lGjsyaoS3R+hHHehE2uLb1BcUS8W/x6k9Ldfe9BLF81CKBDsrp4CezSiXV3bw9M8ttv5+GA8x28uK/v8fIBdGayJdzTeRCcC9EuIjNFpEZEarZt2xZ3nSumjmZPQwuPLt6U9f4YskaFc5ztv5nuD0XkedtI6P1rF2NlW8/jWgpV9UNVPQoYDVxk12VPi2Ttuih24uXtPhcDhTspM+QNPzHv5wHPqeqnInItcCxwvaq+nWSbocBirAQ0e4H/w4oVmZ9g/XYxzu448VxbqL1x7l68cdjONp19IuAl0TGKJ3zvPe6xQHHOv/jrOI44pk8Y3Y2L9zvkW7SD5eq+bsEmRk0bxvSbqgK34wi3fNVrT7TfoDHvAwYIO3YoM84q5Z4Urrpu3MLdTWfPnxClBHVtjU1xy8cFiXnvPbQ3GxeuZ/ipI6m6YWrss+prXoi7PAhhxb831rVyxbGvx97f9faJQGE8vPX2ffmqQbG49YnjatstBzoscwv1VPXd3W0GiXn/3//rx87xR3b4/P4rV1EzbzuVp1dwye3j2n23bB+DfFvdsyXcN9z8JHuqV9C3agIjrjo34XqZivcwYt4dLvrDmyz/eA+vXDWVnt2jf+4Z2pNhzPtq4POqusV2g39JVZOenCLyB6z49leBF1V1nL38a3Zbl/htV0R+AwwH7rcXXQJ8qKo/DPK9DF0XPz6oP7eF+0nAacCDwL3JNlDVj4HfApuALcCeRMLdof/g7hw0sHve3VrdljmnX877/oO7c9lnlsa1wHcl4h2jbLiZZ1O4e7/Di1tHBG4rLIuf19W9fnt9oHbcwi0fwj0bdeJ37LAeNvrJPJ9IuEP+ztkoPCCKRzrWtCDCvfbOv7Dx27+i9s6/eD5IGEWVEG3TuGWx/JbLSkVYwstr6X34mjUFYYV3xK2776/LETxfPzquNT2VhT1VyEt5eVFGMe/xhHsyF3kj3IORqPybFz/Cva2xKfVKGXLF1NHsqGvmT28a63sX5CngIvv1RVhhv+0QkUNFpKf9uh9wElZCuS3AXhGZYlvNL3Rtn7JdD1cBLwLft/8WAj8J+qUMXRc/d0rnrncmMEdVnyGFu4d9AnwJGAkMAcpF5N8968RcngDGHNMLiIZb64XXHpj079zSzMwbR/L71yazc4t1s4pCzeZ8Mudn62OvTzijPzWt45KsnR7e8QDZDZ0oLS9m1DTrOI+aNixpwp9kuJPCZUpJWUmsT+UHl/HwF/7mq12/SemyQRh14uONhUMOsS5Z6ca/JxPu+SKqce7pPGwJanGvW2yFMdctXnZgou5DuLvHQvPexrhlsfyUy0qXsATYJbeP4663T+SiG8ZkLd46zLbcbv5O391W6+frR3POrZXc9faJnHPrAWOY41KfKoFdPOrq2tiyJb0Hcrm+T/gl38I9m8Qr/+bFj3Dfft9jfHT5dWy/77HQ+hiPyhH9OfHwAdy/aB2NLdEZK4accBMwTUTWYBkfbwIQkUoRecBeZzzwhoi8AywCfquqTv6NS4EHgLXAOmBesnYToaptqnqvqn7F/rtfVc1gNPjGT82lj0XkfmAacLOIxLIxJuE0YL2qbgMQkSeBzwCPOiuo6hxgjv25vvHsThpvbI0ldXNe55rfXbaGmvm76D+4Ozu3NMceIDgPFRw3665mbXdwW6wBJv30tFDa9Y6H/oO7Z/U3fmXvGKbfNIaW65KX2EmG11KeSVsO02+qov5H9Tz8hb/5ajffot3BqRO/Y9HqwLH23rEA8OIiywpohHty/I6DDg9bftgx3CFogrqi0h6UT5lE3eJllE+ZZLnO+7S4u8fCgPEDteqGqUy5puP5kGh5JizaNTYUF3rnOlZ5ekXMjTusa1si1/AgeK3VF92Q+B7sLG8XZy5wGv5L0Pkh3rUhUf+y8XsnIwrCPdsJ6kZcdS6ts2ZkLNzbGpuor3kXgPqad2lr/Erc0JqwmH3aGC6Ys5g/vbGJb5/UMfmwoXOiqjuADmWtVbUG+I79egFwVILta4AOdawTtZsIEfks8Ess1/luWOXiVFUPT7cNgwH8ifevAl/Eehq1247v+HGKbTYBU0SkDGjAGuTxA5JsvII4V+LYHf92uy3cwbK4e+Pb8/lQISo4FmsnLjvMybKbnVuasxKb6BVRmfTfsZSH/VuUVZSl3W5URLubcdeeHVcEZooR7skJMhbCeNiSjEGzLqBt5pdDnZgnOh+ycS0KS8CDZYVPJoj94kdsp0MYgjdRtvdkdeUdt/l0re/pEvbvnYyuINwdMhXuYD3YK6s8ivqadymrPCqrwh1gyuED+MyoAdzz0jq+dvwwE/tuyDUPAj/AqthlLO6GwKQt3lW1XkTWAV8QkS8A1ani11X1DRF5Angb2A8swX5aHo/hE8rykphuzs/WxyzpM28cyT9t4Q5QOb1fh8R00PXi272EYbHOB9kSUNNvqsrKb5FOu1EU7g75iLWPonDPFZmMhWQPW8IoCxebmAeIc48CYQr4MO8f2bAuZ0vwpirhtmXL1lD352CEe/YJmpyu4ntfz7rF3c1/TDuCr9z3Ov+9eAMzPzcqJ/s0GGz2qOq81KsZDMlJO+ZdRGYDjwGD7L9HReSKVNup6i9UdZyqTlTVb6hqwswkRZmVcE4bJzbOKQXnTlgGxGLt/2V6P37w+2gmlsoX3oR0RrgfIFu/RaEK93wQVeEe1QR1XrIl3GMUqHB3iIJAi0e8uPRMcQveKMWTG+JTiMLdIVfCHazY988dMZD7Fn1AXdP+nO3XYABeFJHfiMiJInKs85fvThkKDz9u8xcDJ6hqHYCI3Ay8DtyVjY5lC6cs2L9M79fOwg4dXfaLuqVdraZLUCgCxEuh9jsZRrR3pKsL92yMCSPcOxKmBT5MsmVdDjOevrOS74c6hSzc88EPThvDl+95jYde28Blp+TW29PQpTnB/u8ueadAZnVNDV0OP7ZuoX2MRqu9rGBwJ1n75/xdVE7vB1ii/cGlx1mx7HkuURdFslH+zQ+N9cGOQb77nS26snBPVB7OCHcj3HNJvsVarkhWai1qNAW8T2RKvseCEe7+OWZYP6aOG8Sclz9gT0M4JV4NhlSo6ilx/oxwN/jGj3j/I1YZhV+KyP8DFmMlXygYvOXnfvD7MTHR7lgtolCiLkrkW/z2H9w9bs6BZHRm0d6VhfvgIUUMGtTRWcgIdyPc80G+RVsu8NZ5z+b90L0vv/Q7pDt9fd4nwqArjIFEFKpwd/jh9CPY09DCnJfX5bsrhi6CiBwsIg+KyDz7/QQRuTjf/TIUHn4S1t0mIi8BJ2G5eXxLVZdkq2PZwpspPt5kxGSTz79oBxg2rie/fnqSr22i0O9s0JVFO8D48d34x4KOE/uoCvdc0dXHRb6Jqgt9mOQyW/slt4+jZt4rvuYVh44t4xdPdc2w0XxZ3QtduAMcOaQvZx89hAdfWc9FJ45gUJ/O+ZDRECkewjKEXmO/fx94nAIzhBryj98Uca1Ywl2BcOu55JB0JiFGuOefYh85BzqrtR06l0DbvO2gQFbdbnFy9kVZuBfyWDRWd390Betrju+HvuYWxd1ylOnWQ76Pez7d5TsLP5x+BPtbldsXrsl3VwxdgwpV/Sv2NU5V92NKxhkCECTbfAU+ss0bCotCEx2dXbR3NuEeFka4G3f5KJFvIWfILfk+3ibOPRyGDyjn304YxuP//JAPtu3Ld3cMnZ86ERmAZQBFRKYAe/LbJUMh4ueRtZNt/heqeh0wBfhudroVTaKcrCdTsimCW+qDJYRp89hf3L9/Zxbt0Lms7ZC5KGyzD31dXZsR7hjhHhXc17Z8Czro3PeoRLS1aU73l4vjnOyeaYR7uFwxdQw9uhVx6/z3890VQ+fnP4CngFEi8irwCGCMoAbfdMps89mYwDg14e+cvTZwG1GdWGVTcMy/upoHqv7K/KurfW+7cUV97Pd2fv/rLt2aVn+DPjDIN5lY21sbmkPuTTiEIQrfe28/Jxxfy/ixtRmdg9kk3rhMZxz6HatGuEeD6mte4PGpj1B9zQuxZYt2jc2biL//ylVccezr3H/lqrzs303Qe12Q7T5cWRf3O+fyfhvm/SbeuIoCnVG4Awzs3YPvnDSSZ5Zt4e1Nu1JvYDAERFXfBk4GPgNcAhypqu/mt1eGQqTTZZsPQ2R7CaN8XNj9CmtiEkS4pztRaalvYd2CTQDOf9/BiW88u5Pd25pjv/+6BZtS7j+TBwbZJlnfMxFlq65/isVn38Gq658K3EY2CFMUbtlsuWJEsYRjvPMo3jj0Hn+/YzXyHhk5EO4N++MkQMgxLfUtbFy4HoCNC9e3O64t9S05F/BRKukW9CGCsx0wyu8+vd85Ww8yvMe1pb4lVLGdbFyBSVCXLWaePIqBvXtw/dwVqObWk8PQ+RGRc50/4GxgLHAEcJa9zGDwRdpiSlVvA74F7AS2Y2Wbvz1bHQP/AjVbNdozLR8Xdr/CeBAQ1O3cj9goKSth1DTLxdn+7zvJYfnBZSzvcWS7dkrKEk/evQ8MWupbImOFT/TbZRrb3trQzI5FVsbrHYtWR8YCH6o1F+heal2uCqGEY7xx6D3+8dbJB6EdpxxafGIHeAAAIABJREFU3POdrKukrIThp44EYPipI2PXJLeQy6WAz2VJt2QEfYjg3g7wPSD7HdI99p3T7YPf+7D3eDrHOpnY9kuicQVdT7j32Jq7h3S9enTjR9OP4O1Nu3n63S0526+hy3CW/XcxltHz6/bfA8C389gvQ4ESJE2reP5nhSACNZs12mfdMTpWE94vYfYrjAcBQd3kg4iN6TdV8Z3qrzL9pqpA+6z7pJ6W+pa02/E+MHjxV4sjYYVP9NuFYUkt7tmdASdbE8sBJ4+luGfu6x27CZpRPhXNjW38/rXJgc7BbBLvfIrz4KrD8feuk+yhFBSAu3yOybeAr7phKue/cCFVN0wF4ltNc+lGf8nt47jr7RO55PZxOdlfPLy12h++Jr0s3qXlxRwzbUDg/e7a2hy7F6bzIMOvZT6exd051g5esR0U77iC/I/1XJNL4e7wleMOY8LgPtw8bxWNLdHy7DIUNqr6LVX9FlACTFDVf1XVfwWOtJcZDL7wk23+OuBhoB9Wxvk/isi12ehUJgI1E5GdikxEd1j9yvRBQCbx7X7Fhnu7oMLDvZ909+cI/VOumxIJyyZ0/O1WNg4PVYyNu/Zspjw1m3HXnh1am0HIthgsLYuWxT3Z+eR+4JTo3En3oVTkhXue4tzzLWrc16RkVtNcCfgoeKRcdMOBc8KP9f3Su8cHFvBekZ7sQYZf74B4x857rL1iO1PCeAgQBvmwuudDuAMUFwnXnjmej3c38OAr61NvYDD45zBVdbt2fAJENwOvIbJ087Hu14GjVbURQERuApYC14fdKUegvvHsznYCtbGutaBrtIfVr1l3jKbxxvR+CzdhJKabflMVLde1+JpcBBUeFWP7pRQ1jgXTi7Ns1LRhrFuwydfDhmwx/aYqllxRkTXLeBQs7tkkau7y6ZxP7jGX6NwpeIt7HoR7a0NzbLwv2z6YSRXRcHWtumEqU66Jf01yRODJ/Vbnuls5xbF818zb7tuF/9K7x/Pdsa8s8bO/w8aXxxXpifbrt3+J7jHJjnWYdCV3+XwJd4fPjK7gtPEHc8+LaznvuEMZ1KdrJN805IyFIvIP4M/2+/OB5/PYH0OB4ke8bwZKgUb7fQ/g49B7ZOMVqHfOXhsT81Fzm80HfiZEYWeTz4VwB5Ci5JEZ86+ujgnzRCI/yMOGbPHuziEU98x3L8KnkF2vgxL0nPI7Do1w70jz1l0sP+8W+lZNYMRVVq6fKAn4VMd40a6xnV7AX3L7OC66wf8DZhtfuVGKUtwn4pFu/66/9GM2LnyF4aeOjGtZN8I9PPIt3B2uPXM803/3Mjc+u5LbLzgm390xhICI9AceB0YAG4CvquouzzrDgb9heSSXAHep6n32Z8cBDwE9gWeB2aqqIvJLrJLZ2+xmfqaqzybqh6pebieocyasc1T1byF8RUMXI6XbvIjcJSJ3AnuA90TkIRH5I7Ac2J3G9geJyBMiskpEVorIiel2zm1xz0Yiuq5APmuhZzMztp/4+3wL90wT0kWZXAr3qJz7hVzLPVRCEO6ltf6FV+s+6/nxnuoV7ZIz5tuF3g/5LCmXK6LkJROPVP17/uPDQ01G5xcj3PPDiIpyLjn5cP5v6WYWf7Aj390xhMPVwEJVHQMstN972QKcqKqTgROAq0XEuQnfiyXSx9h/X3Rt9ztVnWz/JRTuDqr6pKr+wP4zwt0QiHRi3muAt7CeSP0MeBF4CbgG+Hsa298BPKeq44CjgZV+O5nNRHSdmc4q3CF4/H0u6cyiHXJvcTfnfuYUYmZ5L8W9rH33rZrQIVRk2fbBRsQbMmbRrrFJcxhkm0Iaw52RSz8/mqEH9eS6vy+npdV3kRxD9PgSVs4u7P/neFdQ1WZVbbLf9sDWRyIyGOijqovVqiP4SLzt08EuF7dGRPaIyF4R+VRE9gZpy9C1Sek2r6oPp1onESLSF/gc8E27rWYgUB2roHHeYZFuvH0UyKdoh9xZDKPkEu8mSoLdHRscFvlwkx8+oSwS4TKFbHXPhnBva2qiqEePQM0EsboDdD+kH6N+/Y2k4zpdN/pE8cy5piu40hciuYpr95KN63Y6dHWru0PP7sX88uwj+e4jNTz82ga+U3V4vrtkyIyDXYnitgIHx1tJRA4DngFGAz9W1c0iUgl85FrtI2Co6/3lInIhlqHzh153fA+3AGepqm8jpsHgJqV4t7PMp8NLqvqyZ9lIrFiQP4rI0VgW/NmqWuevmxb5Es+FFG/fVYS7QxQm3g5REu0Aq65/ih2LVjPg5LGhZaHPV3x7UZCiliFjhHt7ah96hLql71A++WgGffNCX9sGFe4O6QibVAK++poX2LhwfcJ45lzTVRLaRR2vJ0Su7zFP//h19lSvaJfTIRcUqnAXkZnATIBhw8JL3H3a+EFMHTeI3y14nzOPGszgvp0wYU1hUSEiNa73c1R1jvNGRJ4HDomz3TXuN3asusbbgap+CBxlu8v/n4g8kaJP9wL/Caj9/1aS123/xAh3QxikMyXemOZfvPj3bsCxwL2qegxQhyfWRERmikiNiNR8unN/0O+RNQol3v6VvWM6hXB3j4eGXY2pN4gAUXSPb21oZsciSwTsWLS6XWxwELJVuz0ZUbo2GOFuY1vd25qaqFv6DgB1S9+hrakp2VbtCCLc3WNh/570n/0mcqOPV5M9KhhX+tS0uzbsCu/Y5ft3X/rhAPZUrwA65nTIJoUq3AFUdY6qVqpq5cCBA0NpE0BE+OVZR9Kqys//7z0sj2lDHtnuHGf7b477Q1U9TVUnxvn7O/CJ7f7uuMHXJtuRqm7GyutVhZWY+1DXx4fay1DVT1S1VVXbgP8Cjk/xHWpE5HER+ZrtQn+uncDOYPBFSvGuqg+n+fdunM0/Aj5S1Tfs909giXl3+7ELb+/+fpLf54ZCiLePgmgPS3S4x0PPftEu0xJF0e5Q3LM7A062JqIDTh4b2AUzH6LdISrXBiPcbVzu8kU9elA++WgAyicfnbbrfFCLu3ssdOtb7nt7r4DPZzxzuhgRn5h214Z+4Ry7fP/Wy7YPprhnd/pWTQDi53TIBoUs3LPNsAFl/Me0I3h+5Sc8u2xrvrtjCM5TwEX264uIk69LRA4VkZ72637AScBq291+r4hMEREBLnS2dx4I2HwZS/Anow9QD0wHzrL/ZgT9UoauS9ozYhGZDfwR+BR4ADgGuFpV5yfaRlW3isiHIjJWVVcDpwIrEq3fFtG8IPmOt09EvkU7RM9VPBcUynced+3ZtP4weOxklkW7L0f4fF0bjHC3iZOgbtA3L/QV856pq3ymeN3o8xXP7Jcu6E7v89qQuUU0CsLdYcRV59I6a0ZeYt5zQaEId4dvf3YkT7+zhV88tZzPjh7AQWWd87h0cm4C/ioiF2N5Cn8VwI5n/56qfgcYD9xqu9QL8FtVXWZvfykHSsXNs/8AbhGRyVhu8xuAS5J1QlW/FeJ3MnRh/Nwkv62qe7GeGPUHvoF1QqTiCuAxEXkXmAzcmGjFjSvquXP2Wh9dyh1REu5RcJGHwhGxYRFlS3sigkwAs21tr73zL2A9/EubfFwbonCORYIkmeULRbg7eN3ooy7c3XQFS/z9V64Cn9eGD1fWOdsFIoq/aa6Ee66t7oUm3AG6FRdx079OYld9Czc+a8KVCxFV3aGqp6rqGNu9fqe9vMYW7qjqAlU9SlWPtv/PcW1fY7vgj1LVy+2s86jqN1R1kr3+2a6keHERkSNEZKGILLffHyUi12bvmxs6K37EuzP7OgN4RFXfcy1LiKoutd3bjlLVc1JkYox0XHm+iYpoh64l3AtRtAchFy7ybY1N1C1elnrFOHTWa0Okre55quWebQq5FFdnFfGNda3UzNseaNuaedsL9trQleq5FypHDunLzM8dzl9rPuLl97fluzuGwuW/gJ8CLQB2uPEFee2RoSDxI97fEpH5WOL9HyLSGwjdmTWqceX5JEqiHbqOcDeiPXyKSntQPmVSoG1zeW0w7vJ0WuHuUGg14b04Ir6zCPnS8mIqT68ItG3l6RWBrg35/u26knAvRKu7m9mnjmHMoF78+Il32BOhBJeGgqJMVd/0LItepm5D5PEj3i/GyhT/L6paD3QHQo3fiEot56gQNdEOnV+4O4K9s39PyF8yukGzLgBY4mebXF4bjHDvWhS6iIfOY42/5PZx4PPacNj4cmc7X+T79zLCvbAoLSnmd+dPZse+Zn7+91R5yQyGuGwXkVFYMfKIyFeApK72BkM80k5Yp6ptIvIJMEFEspL6uV5LeWXvGE7qsyYbzadFY13+E9NFTbA75FrQ/n/2zjxMjqpc3O/Xs2WWLGSZ7DshBJLMAAECEnZEQNllEQhBEREkQUEEEUQFRX+KF+RyEUEggmwqGq/ohctm4BIkIZMEEiIJWQhJyEZCMkvP0t/vj+qa9PT0UtVd1V3dc97nmWemq6tPna6prq63vu98Rz0oROSUniDrNgERvECWpzTiHqXIo+6JSDcvfCHQA4vbZYQR99xRDOJuM3l4X+acMIFfvPBvTjpgMF+o6znXDQZPuBp4ANhfRD4C1gAX5bdLhkLETbX5nwLnY1WLtweXKfBPrzsVfwGdK5m/Z84q3nxuB4ef2j/nGQBBFXbIn9huW/kJz984n8/eOcOX9nuSsENgpD0j7IJ1fn4ujbhH6YHibmNLVbFIPBSWyGdTsM5p9N2Ie+4oJnG3+fqx43nxvS1878/vcOiY/gzpG+wpbQ3BQVU/AE4UkWogpKq7890nQ2HiJoJ+JjBRVcN+dSYZuZD5lsYO3nxuBxAtjOXz1HBBlvVYnIhGR3Pm05GlY/UL62m71bvpnPwUdj/3QzYUsrTH4ufn0u/PY1uTdQwbcS8MikXiwV+R9zJTLduCdZfekb4vPVXcMyXSEibUy9mMEvEUo7iDVX3+rvPq+PyvXmP2k4v5/eWHU1rianZDQw9FRAYA38eaQ15F5DXgh6q6Pb89MxQabs44HwCBOBvbY8G9HBPeq7qEw0/tD/hTGMuPPvuNE9F47/Z5LDj9bt67fV7C5zuaW7Pqw/iTRnki7vHj2LPtVzzp9kM+yNeYdr9w87l0U3na78/j8zfO58EZT/P8jfN93U7WGHHvRjGMh4/FyyJ3v772Pa45+I2spmmzsW8C+FmwLt/ink8yibpvu/9xNnzjVrbd/7jr17oR90g45/GgrBk3qIbbz5zMv9bs4J4X8zfM01BwPAlsBc4Bzo3+/VRee2QoSNxE3puABhF5Eeg826rqbM975ZJkF99uI/Sz797Xk8heoch5MpxGBzuaW9n+qhXJ2f7qSjqu6xp5fu/2eWx/dSUDjpnI/t873XU/Bk7cJ6uU+WTvI9t+xZNuP+SaYhJ2GzcF69wMf8lFxH31C+sBK4tk0DXeHhumsnxuKIbx8PFkE5GPjZI7jXon49fXvsfCv29j2ikD+dp/7M/Cv7/mecG6IIh7IaXLR1rCNC1cCkDTwqVEWs51HIF3I+6bnpzLnncaqJlcz9ALZrruZz45++ARvLF6O796eRWHjR3AURMyu/Fk6FEMVdUfxTy+XUTOz1tvDAWLG3mfF/0pGNxemB/V5/2kFyCFLuQ2dvpuMtyk9ZZUljPgmImdIhwrJYmE1i0Sci8D6frvh2in2g+5ImjCnk26ZSJCDnOE/Bj+ku4zk4qyqjLGnzSK1S+s9/zYMOKeW4KYSp/NsRmLW5G3o+S2dGf6GUt0EwCXxSxDab4njLi7J9SrgqppU2lauJSqaVMJ9apwdE53G3Hf804DAHveaSASPp9QhXffGbngB2ccSMOHO7n2qQaem3MUtb3N+HdDSp4XkQuAp6OPzwX+J4/9MRQobqrNPyoi5cB+0UUrVbWoJrssFkFPxvM3zmf1C+sZf9KobhHtTMfi7v+90xMKcC6F1qsbDtmQbD/4TdCkHWDLPU/SuGAZ1dOn2NPC5Qx7+IsdeU8lFU4+76k+M04ZcsP5JuJeRARF4uff/BLrXlzD6BPGMuOO4z1r16nIf+0/9s8q4g7e3QRIhhH3zBl45UWdEfdt9z/eKfIDr0xcHNvtGPdQRQU1k+s7I++FJu4AVeWl/OdFB3P6va9x1WNv8/uvTqe81Ix/NyTlq8C1wGNYBb9LgEYR+Rqgqtonn50zFA5uqs0fCzwKrAUEGCkil6qq59XmDd4Tn74bWwQu2yJayaTEL6HNtr9+9StX4h5EYbeJtIRpXLAMgMYFy4hccZanEXgnOBn+4kTcU31mnGIfq0bcE1O5xf1rOtqCcXGcT4lva2pj3YtrAFj34hqm3+xdUc9Y4uU3Xua9kG0vbgIkwoh79tgR93Qp9JkWpxt6wcyCjLjHst/g3vy/c+u45onF3PbXd/nxWVPy3SVDQFHV3E/5YChK3FwF/QL4rKoeo6pHAycDv/SnWwavsdN3YW8RuPgibn7glbTYffWqv0GsCp8Ku/hckMUdrIu96unWxUv19Ck5F3ebbMUdEn9m3BD4yvIFzCebe+dl6qtE5KOoXVlVGaNPGAvA6BPG+iLuifCy4F0sRty9w+vPhZ1CD3Sm0MeSbVX5QhZ3my/UDePKY8bz+zfX8/ib6/LdHUNAEYuLReSW6OORInJYvvtlKDzcjHkvU9XO2+6q+m8RCUT1+WLDq3GM8Xz2zhm03drGipbRLN3hefMpyUQ6mtr9mVrLD/yYJq5QRa129gV5ibg7we3QGPszUwji7qrOQIFG3eOxRWWfIfmfLjdW1nIRjZ9xx/GeRtzdfu+ki8rnikhEuzw24u49sSn0sRTrdHCZ8O2TJ7Ji06fcNu9dJtT25rCx/fPdJUPwuA+rpsfxwI+APcB/Aofms1OGwsONvC8UkQexxmoAXAQs9L5LPRsvxtgmIx8iXKgC6gYvq9cXy/4qBnG3KQRxd1VnoEjEPZYgSTzkLqXeK3H3Yvx8ImnOhdB/uKKRX1/7Hvt//wzft5WOfE4r6HcmihH31JSEhHsuOIiz7nudK363kD9+/UjGD6rJd7cMweJwVT1YRBYDqOon0VpiBoMr3KTNfx1YDsyO/iyPLjN4RLcxtk3e1APMRXp8IopFRFPRrXp9BvPHF0pKvGdszb3Y56oYZb4i7l3qDLSkmDe5CMU9lqCk0tsUwjzx8ePnvfrega5p9n6k29ss/Ps2T/udCcUs7vEYcU9M36oyHrnsMEpDwqyH/8XW3YU3h73BV9pEpASrWB0iMgiXs2sYDOBC3lU1rKp3qerZ0Z9fqmrOzkz5/mLOBdmOsY0nX9IOPUPcYW/1esBV9Xo/hD2ltAWBrRVG3H3AcZ2BPIp7pNU6Nv0Ud5tcj4d3csMuyBKf6/Hzfgh9Jv328prCiLvBZtSAKh669FC27g5z+aNv0dTanu8uGYLDPcCzQK2I3AG8Bvw4v10yFCJp0+ZF5GlVPU9ElhG9WxSLqk510EYJVor9R6r6ebed9DOVPGhkOsbWJt9jxHuKtMfipHq93/sln9OzpSQPsh5LoU//6PS4SVtnII/ivuHZuexe0UC/sfWMO2Fm1v1wSi5S6df+9E/smr+cvjMOYMx3zk67fq7HxTvF6/Hzbukq8K+5eu0++w1wnerv5TR7RtwN8dSN7Me9Fx7MFb9byJWPvc1vZh5CRam3RRkNzhGR/sBTwBisGbPOU9VP4tYZjSXWIaAM+JWq3h997g5gJrCPqtbEvKYCmAscAmwHzlfVtcn6oaqPi8gi4ASsWbvOVNUV3rxLQ0/CSeR9TvT354EvJPhxwhwg7QFqFyiLFVC/UsmDTCZjbN1G2TNJ705HTxT3VCSLrnsdIXeVNp0L7Ah7DxL3fKXLxxJEcY+0htm9ogGAnWsa6GjL/bH5yebebF/r/bDCjuZWds1fDsCu+ctdn1ODFo3Pl7hDdlFwCbk7NtMNE3DTl3wWpksl7n58B+Ra3Ks253RznnPiAYO585yp/PPfW7nm94tp6zDZ0XnkRuBFVZ0AvBh9HM8m4AhVrQcOB24UEfuL/a9AoqrwXwE+UdV9sWbf+mmijYtIf/sH2AI8Afwe+Di6zGBwRdrIu6ra4YFtQLOqRkRkP2B/4O/pXi8iI4DTgDuAbzntmH0x/N7t8zqXeZFKXixkIwteFlgDI+32/nQS9fYjQm6nTdvt5qVYXJ5FPZZcR9sDXaAuz2PcQ+UVlFX3o61xJ2XV/Sgpy/1xsu3+x2lauJQd06Yy8MqLAG+i8SWV5fSdcUBn5D3T2SaCGo3PFV5GwZ1gDxOwtxl7TeGmL0GtKG8f71Uxx3u25FLcC13aYzlv2kiawu3c9tflXP/MEu46r54SlzebDJ5wBnBs9O9HgVeA78SuoKqxd18riAluquoCAJFu/7szgNuif/8BuFdERFXjs5QXYWUuCzAK+CT6dz9gPTDW9Tsy9GjcVJv/JzBDRPYBngfeAs7Hqjqfiv8AbgBc53fFFgMDGHTNWSzdsfcCaWr/jW6bLFi8EoRuBdbSpHunoyeL+8at/Yi0hDv3Z+OCZSlTl7tFyD2cTi3n07MFSNZj6Qni7vg4CkBxuvKPwrQ17gSgrXEnHW3hnAp8pCVM08KlADQtXNo53ZVXKfVjvnM2HbM/79k0kbmqUh8U4qPg02/OTWZdomECifqSKFgQ5DT5ZMd7Nhhxz45ZnxlLU1sHP/vHSkpDIX527lQj8LlncEwgcjMwONFKIjIS+BuwL/BtVU0nGcOBDwFUtV1EdgEDsIKdnajq2Gj7vwGeVdXnoo9PAc7M6B0ZejRuqs2LqjYBZwP3qeoXgQNTvkDk88AWVV2UYp0rRGShiCxs39Xc5bl0xcBi08Xjf/KB19Xh/Xg/mRZYi8ev6uipjod8E5sGb7/3dMXCYtMXHRcWyxDfxT3H6fCxx8LuHemL/vQEcQeHx1ECcY+E3aXSelFVvqSsgn5j6wHoN7Y+Y3GPPRY6djc6fl2oVwVV06yyLFXTpnbbV14Ut/NK3GNZtm0oDR8OCFRavR9kWiwv9ngI78zseyJ+W8n6Evu9HmRxh/THu1sKQdxjj4WtW7d62ymPuOrYffnmifvxx7c3MOdJk0KfIQPt/3P054rYJ0Xkf0XknQQ/XeaQjEbFu9Xvij73YbSO177ApSKSUPKzYLot7tHt/R040uNtGHoA0j27I8mK1ryEV2GN6/iKqr4rIstUdUqK1/wEuARoB3oBfYA/qerFidav2W+I1t/XvaBRR3N20eFEeB21z6SoXj6Ly2W6T7MR9jVfunmRqk5zun6y4yFXuHmvkZZwtwulZKnNidYNJD5K+po517s6FsZNqdbbn52c9PmeIu6xJD2OEoj7lkfm0tiwhOr6Ompnpf9MeT0dXKqI+9sPfsvVsVAxZoQOuWW2q/44/cwFZZ74ZIXwijUi39a0N8r92PSHXB0PAyYN0lMf8W6O99i+xKbR9/umNynomeD2BlO23zFBGd++5F5354Zp06bpwoULveqW5zzwz9X8+Ln3OHHSYO790kH0KjNF7JwiIq6OhbjXrgSOVdVNIjIUeEVVU05zISK/BZ5T1T/ELNsTV7Duf4DbVPUNESnFiuoPSpA2H7v+fOCx6KKLgKNV9eRM3peh5+ImbX4OcBNWyse7IjIOeDnVC1T1puhrEJFjgeuTiXsq/IhsOLn4diq4Hc2tXYrqLb5moC999hK3/SvE9Hg3NyiyfX+JIu7JUpsDK+4BTYW3aWnsoFd194udniju4Pw4ioTDNDYsAaCxYQmRcJhQRfLX+jGPu9ep8m7lxOm6uahQn45uhfBi0vKLdXx8rmvZxAp6sr7Ep9H3vtL7IEI6Ms0KKQZxL0auOHo8lWUl3PKXd7ns4be4/5JD6Ftp6jjlgHnApcCd0d9/iV8hWp9ru6o2R4cHH4UVrHTS7hvAucBLycQ9yoXA97Gq2ivWcOQL3b0Vg8HdPO//VNXTVfWn0ccfqKq78EcB8d7t81hw+t1dCuYlw6tU9CDiV3q836T6/8Wnv/vx/vxOkfeE2DT4gIv7lvVhvlK/iHvmrOpc9tqnE3qsuCclQdQ9VFFBdX0dANX1dTkXd69p37qDDd+4lW33P+7bNux0+lxPxQV7C+EBKQvh2dXqiz213mvm3/wSTx0/l/k3v5RyvbKqMkf/B7/Ix7GX6zT5niTuNpccMYZfnl/HW2t3cN79b7Axw2EfBlfcCZwkIu8DJ0YfIyLTROTB6DqTgDdFZAnwKvBzVV0WXe9nIrIBqBKRDSJyW/Q1DwEDRGQVVkHuRFXsO1HVHao6R1UPUtWDVfVaVd3h8Xs19AAcR96jFeavx5onsfN1quqoPKyqvoJV4THwZFLUzclc34VEIQq7Tfz/b8OllXmR55wXkUtHwAU9FY2fdgDw5nM7aPlxBws79s95HwpR3G1qZ81MG3HPllyIO0CkybrY9aogVzryEY13WwivpxW6yxS3Rem8LkjolJ4g7j2Zsw4awaCaXlz52CLOvu//+O2sQzlgWJ98d6toUdXtWHOrxy9fCFwe/fsFYGqS19+AVXg7fnkL8EVPO2swOMBN2vwzwP3Ag0CHP90JBnYk3Z5OzekXd6GLeyELO3Ttf96nTouSV3EvYFmPp7pPCY2fdnD4qf1zLu5+1abIlbjbpBP3bKLuuRJ3gFCvSiItzZ4U5HJDrFDlQuQz+T6Jj8Ibme9KqmnibOL3YS6/14td2sGIu81REwbyzJVHcNnDb3Hu/f/HL75YxylTTBaNwWBIjxt5b1fV//KtJzH4UaDOLcUWSU9FoUm7k/4GLurtI5GWMKHdxX3XvnZUBUf/4mSqBlbldLvFIu7pyDZdPpeU9R/AiK9cbd2M2AzhIbmZXiyWIIyNd0I2Y+RTjQsvZBJNEwf5rSQP/ot7ojoRJtqeXyYN7cNfvvEZrnxsEV9//G2+cdy+fOuk/QiZqeQMBkMK3Mj7X0XkKqxCC51zDnk5XqOtvYSGW/5B44JlDDhmIvt/73Svms6IYhb3QhD2tvZqsPgMAAAgAElEQVSSrPpZtOIeE1Hf8sjvaFy8hOqD6qiddUkeO+UvG9e18+jJz7qazSFbjLg7I5uoe83m9FMAJiI2i8AWkHxKPBSXyMdWWZ9xh6ORcQVFkMQ9F9H2bfc/TtPCpVRNm8rAKy8y0fYAMbhPL568Yjq3/vld7n15Fe9s3MVd59XTv7p4rz97GiLyK5JMTwdQzPXDDP7gRt4vjf7+dswyBcZ51puIdlboTjRWedignZ5tqqeRd1kvohTunJJiv0XCYRoXR6uIL15C5MLzfB3TnE/Cu1sBazaHtlv9jwgacXdGPsQ9GfmUeCicaDykTq93Oi68GCj2aDtYEfemhUsBq05E2boLIYdfE0bc01NRWsKd50xh8oi+/Oivyzn17vncfUE9h48bkO+uGbwhuPMXGgoSx/KuqmP97AgAIUk5VjnZha+R+u7kXdZtjLQ7x+W+ClVUUH1QXWfkvVjFHaCidznh3a2MP2mUEXcw4p6C2KiiicY7Iz4qn25ceKHTE6TdJtSrgqppU2lauJSayfU5+54w0u4OEeGS6aM5aGQ/rnliMRf+ZgFzTtiPq48bT2mJ44mhDAFEVR/Ndx8MxYWbyDsiMhk4AOi8clTVuV52KJOxyj1d6gMj6rEYaU+Oh/umdtYlRR1xt+kzooYzHjjRiDsYcXdBUKLxUFgi3++bF8XMa148Re96krTHMvzMWURO8Xe2iViMuGfO5OF9+es1R3HLn9/hl//7b15auYW7zqtj/KCafHfNkCUiMgj4Dt09qvjGJhl8xc1Ucd8HjsU66J4DTgFeAzyVd/BurLKTC+ZCEvxASno8Rtr3kqN9EXRx7/WxN1EDI+4Ycc+QfEs8FJ7I2zVfiqGCfb6lHfJfST4X3xNG2r2hpqKUX55fz4mTBnPzn5dx6t3zueFz+zPryDGUmGJ2hczjwFPAacCVWMORt+a1R4aCxE3k/VygDlisqpeJyGDgMX+6lTsyubD2SvgLQsad0pOlvSe/9zi8EvVc4pe0gxH3WPIl7rHkO6XeppDGx8eTSISDLPT5Fvd8RdtNUbrC57SpQzl0zD7c+Kdl/Oi/lzOv4SN+cvZUMyd84TJAVR8SkTmq+irwqoi8le9OGQoPN/LerKoREWkXkT7AFmCkT/0KNEUl3dnQ06S1p73fFBSipCfCiLtzCl3c4zHReO8IYnTeSHtuMNLuL7V9evHQpdOYt2QjP/zrcr5w72tcPmMss4+fQHWFq5Gvhvxjf9lsEpHTgI1A/zz2x1CguPnkLxSRfsBvgEXAHuANX3plCC7FLrDF/v4yoFhEPZ6CSJMHI+4+E7RoPBS2yEP+ovP5FnYw0m7wHhHhjPrhHLPfIH783Ap+/eoH/GXxRm46dX9OrxuGiEmlLxBuF5G+wHXAr4A+wDfz2yVDIeKm2vxV0T/vF5F/AH1UdamnvWkP7ZWnQeHU6xo8J9ISTlxvoNiEttjej0f4IemR1jCh8mDt72KNtkfCiQtSGXF3ThBFHgpf5mGvWHc0t3aOp/dK6GOlPbb9XNJTpB2MuOeLflXl/OzcOs4/dBS3zXuXOU828PiC9dx82iTqRpqM0KCjqv8d/XMXcFw++2IobNxWmz8bOAprfvfXAG/lPZZEgmWE3je23PNk5xR9tRdemu/uZIeR86TkMoq+4dm57F7RQO9J9Yw4a2bOtpuKYhX3LY/MpbFhCdX1ddTO2ruvjbhnTlBEHoonKr/2p39i1/zl9J1xAGO+c7YnkfLm9r3/p/j2c0G+pB2KO9pes7EjdxsrMA4ZvQ9/vvozPL3wQ37x/ErO+M/X+ULdMG44eSIj+1flu3uGOETkBlX9mYj8CsufuqCqs/PQLUMB46ba/H3AvsAT0UVfE5ETVfVqX3qWiGRSZqQ+KyIboHHBMsD6HTk7d1PKZISR87TkO9U90hpm94oGAHavaCBy2vl5jcD7Ke2Q/4h7Y8MSABoblnRG4ItV3ENtlkQ0DfFtE90Iwvh4m0IV+Y7mVnbNXw7ArvnL6Zj9eU8j5H63H4+Rdn8w0u6MkpBw4WGj+ELdMH796mp+M/8D/vHOJi48bBTfOG5favtkP9zK4Bkror8X5rUXhqLBTeT9eGCSqiqAiDwKvOtLr9ySSuaM2Hclbl/ZF/rVB9XRuHgJ1QfVBUfcY4dReEyyFONCIt+CnopQeQW9J9V3Rt69Eve2pjbXU8YVs7iDNQVUdX1dZ+S9alf2F21BFfdYYoUiVyIfpGg8FFZ6fUllOX1nHNAZGU8k1h3Nrb62b28jG6k30u4fRtzdU1NRynWfnchFh4/m7hff5/dvrueptz7k0iPHcMXR4xhYU9jXOcWAqv41+meTqj4T+5yIfDEPXTIUOG7kfRUwClgXfTwyuizYpJO/YpV7B9K75ZHfdQp77axLiFx4XsELrRPi33dQCbKcO2HEWTM9jbg/f+N8Vr+wnvEnjeKzd85Iu35BSTtkVZiudtZMIuFwjxH3eGzJyEc0HoIh8hD8qPyY75ydNCJup7wD4/xoP3YbmaTVG2n3DyPt2TOkby9+cvYUrjxmHHe/+D4Pzv+AuW+s5UuHjeZrx4xjsInEB4GbgGccLDMYUuJG3nsDK0TkX1hjNg7DqkA/D0BVT49/gYiMBOYCg6OveUBV7866117iNLIbJMn3IBodCYdpXBxNtV28xFdxD5KE5vJ9OyFI+8YPvBJ3jSirX1gPwOoX1tN2a/IIvN/SDsESd5tsxT0baYdgjHHPRzQegi/yEByZTxZxt1PegX28bj9+G27S6nuStINJkS90Rg+o5q7z6vnGcfty3yurefSNtTy2YB3nHDKcK44ez9iB1fnuYo9DRE4BTgWGi8g9MU/1AfL/xWkoONzI+60ZtN8OXKeqb4tIb2CRiLygqsvTvTBwFNk4az9T5YMspLkeIhDkfZEPMhVECQnjTxrVGXk34t6VfI5vh2CIezxG5LsSVJmHrinvwCd+byNVWj3kV9jBSLshe8YNquHnX6xjzgkTuP/V1TyzaANPvvUhnztwCJfPGMcho7O6R1ZQiEh/4ClgDLAWOE9VP4lbZzTwLBACyoBfqer90efuAGYC+6hqTcxrZgH/D/gouuheVX0wQRc2Yo13Px1rqm2b3Zip4gwZ4Ebet8ZLt4gcq6qvJHuBqm4CNkX/3i0iK4DhQEJ5D7XtlZ2WwREXXTNkgpep8oUkqV6970J6z7kkWxFMxmfvnJE04t5TpR0KW9wrP8yNQBqR707QUuztlPd3vvizD/zeRjJx72lRdjDSXuyM7F/FHWdN4doT9+PR/1vL3DfW8vd3NlM/sh9fOWosn5s8hLKSor+WuRF4UVXvFJEbo4+/E7fOJuAIVQ2LSA3wjojMU9WNwF+Be4H3E7T9lKp+I9XGVXWJiLwDnKyqj2b9bgw9Hjfy/rSIzMW6y9QL+BkwDTjCyYtFZAxwEPCmk/UTiZEReu/JVGALXVzTve9Cf39+4pecOyFe3HMh7WDEPRmFIO7x5GN8PBSOyNvkQ+hzMT97/DZMlN1/jLTnn0G9K7j+5Il8/djx/PHtDfz2tTVc88RihvTpxcXTR3HBYaOKubjdGcCx0b8fBV4hTt5VNbZaZgVWBN5+bgGASObft6raISIjRaQ8blsGg2vcyPvhwE+B/8Ma//448BknL4zexfojcK2qfhr33BXAFQClfVKn8SQTKiP1/pMrmY09Hkr28T6ty0h5evIp57HEHgs1Q7rOXVuw0g5G3HEv7rHHQlmNN+eFfEXjobuwBU3mIdhp9l2Oh0F9MmrDSLv/GGkPHtUVpcw8YgwXHz6al97bwqNvrOXnz/+be15cxWlTh3LJEaM5aGS/rEQ1gAyOZgIDbMaqw9WNaJ2uv2FNi/3taNQ9HeeIyNHAv4FvquqHKdZdA7werRXWaC9U1bscbMdg6MSNvLcBzUAlVuR9jaqmtWYRKcMS98dV9U/xz6vqA8ADAJVDR6qL/nSSSsiM2Lsj33IbezxUjHJ+POS734VEUOQ8HbHHQu0BAxRyJ+1QvNF2KCxxh67HQlVtZt8TqcinyEOwo/I2QZL5LsfDhGGOj4eeKOxQ3NIeeyNn1KhROdtuoRMKCSceMJgTDxjMqi17mPvGWv709kc8u/gjDhzWh4unj+aM+mFUlbvRBF8ZKCKx86Q/ED0PACAi/wskOnvfHPtAVVVEEp4zouI9VUSGAX8WkT+o6scp+vRX4Iloqv3XsKL6x6dYf3X0J4QVBDUYMsLNp/It4C9YqfKDgPtF5BxVTTpHoVi37h4CVuTrzlI6qeupcl8oslso/QwShSLnbmhqLzPRdvIv7tkWpstXqrwbjMg7Iyip9unIt7CDkXY/ib2RM23aNM9v7PUE9q2t4YdnTOaGz+3Pnxd/xGML1nHTn5bx47+t4OyDh3PR9NHsNzjvn6Ntqjot2ZOqemKy50TkYxEZqqqbRGQokPJbUFU3RseozwD+kGK97TEPH8QaTpyq3R+ket5gcIobef8qMBH4rqr+UESuwaq+mIrPAJcAy0SkIbrsu6r6nPuu+oMbOSwU0S8W4Q0F97o1LxSjlAcNI+7JCYq4h9osSdgzrMST9lIRJJGHYMs8BEvo8y3tPUXYwaTHFws1FaVcPH00Fx0+ikXrPuHxN9fzxL8+5NE31nHYmP5cNH0Un5s8hIpS/8+9HjMPuBS4M/r7L/EriMgIYLuqNovIPsBRwC9TNWrfEIg+PB1YkWb9QcANwIFYGcwAqGqqaL3B0A038n4ZEMFKCfkh1hQHZwC3J3uBqr4GOL7iDAVvtqEuFIsUG4KHEfP8EmRph541vt0pscLQE0QeCicqH0syifZD6vMt7NBzpN0Ie/EiIkwb059pY/pzy+cP4A+LPuTxN9cz58kGBlSXc96hI/nSYaMY2b8qfWPB4E6sottfAdYB5wGIyDTgSlW9HJgE/CKaUi/Az1V1WXS9nwFfAqpEZAPwoKreBswWkdOxpsXeAcxK04/Hsaas+zxwJdaNhK0evk9DD8FVwTpVPVhEFgOo6ifR8eyekuwis7nW6y0Z/MYIqdkHQccXaYeiibZDMMU9np4u8lA4Mm/jlWh3tIXyLu35EnYw0m7wl/7V5Vxx9HguP2ocr63axmML1vHrV1dz/6urOX5iLZceOYYZEwYGusBdNL39hATLFwKXR/9+AZia5PU3YEXM45ffBNzkoisDVPUhEZmjqq8Cr4rIWy5ebzAALgvWiUgJoNCZ/pGz8UVG6oNPTxHVnvI+syHbFGu/Cbq0gxH3TMmnyIOR+Z5CTxJ2yK20V69vTL+SIaeEQsLR+w3i6P0GsXFnM79/cz1PvrWemb/9F+MGVXPZkWM4++ARVFcEpsBdELFPyptE5DRgI9A/j/0xFChuPmX3AM8CtSJyB3Au8D1feuWCVBenRuz9oRjltRjfkx8EXcqdYMTdGYUo7vHkWuQhGFF5MDLvFz1J2nMdZTfSXhgM61fJ9SdP5JoT9uW5ZZt45PW13PKXd/l//7OSCw8bxaVHjmFYv8p8dzOI3C4ifYHrgF8BfYBv5rdLhkLEsbyr6uMisggr9USAM1U1ZXGGfJPu4jWd3Edaw4TKK7zrUIFRyEJbaH3vaAtTUpbfY60YxDwVPUXawR9x72gPU1Ka/hgNirjH46XId7SGKXHw3RAUkQcj89nQk4QdvJf2dOcOI+2FSUVpCWcdNIKzDhrBonWf8NvX1/Dga2t46LU1fKFuGF+dMY4DhvXJdzdzRnSKuXtU9dy45b2wxrjvCwwHHlLV47LYzivA9dG0/9jlpwMHqOqdmbbtFdE+zlLVtcn669F2xgBHqurvvW47yLjKb1HV94D3fOpLzkl1gfvBi3PZuaaB3hOnMOKcy3LXqRxSKIJbKP3MFPtY6ze2nnEnpJvAYS9OhL/YhdwJvkk7BE7cK7dYxwUZ3ghKdrysWPQYWzctZdDQqUw65OLk2w+ouMeTjciv/cdcdq1qoO++9Yz5nPPPa8X6rsIfNJmHniX0kZYwoV6JPyf5lHUoDmG3ee/Nx9j+0RIGDK9j/8P3njuMsBcXh4zeh0NG78OGT5p4+PW1PPmv9Ty7+CNmTBjIVcfuy/Rx/QM9Lt4LVHUjVlZyPI9ipczPB04BDgDm+LD9eViV9R0hIqWqWugXiWOwigkaec8XoTalckMjzSOq89qPjrYwO9dYM9vtXrmMjY8/zPiT3At8LtP2i1FwQ+35e1+5ioTHHms71zTQ0Xa+IyF3KlPFSkdzKyWV5SnXKRRpB+/EPdMbQZBc3Dvaw2zdtBSArZuWsl+SKFqhiHs8bkS+ozXMrlXW53XXqgY6Ws93FIFPJPxBisrb5Co6n0qcc8G2+x+naeFSqqZNZeCVFwE9U9ghc2l3konT0R5m+0dLANj+0RI62r9In42F7gqGVIzYp4pbPn8As4+fwOP/WsdvX1vLhb9ZwEGj+nH1sftywqRazyVeRC4GZgPlwJvAb4HfAIcBJcC/gPOBgeydLWtf4GXgKlWNiMh/AYcClcAfVPX70bbXYsn3F4Ay4Iuq+p6IHAPcHe2CAkcDA4D/VtXJ0Wj7fwHTots6VVVfFpE2rKr2E4HxwLOqekO0pthD0fUV+K2qppqq7hIReRDL476sqv8SkVnANFX9hoiMx6puX401Nd61qlojIscCPwI+AfYH9hORPwMjsaavu1tVH4i+9z3R93AqsAn4LtZc9qOi7c0TkQOBh6P7PgSco6rvO+xv/+j/ahzQBFyhqktTLE+0z+8EJkWnI380zT4rGgIl7y1NO3j9H7ckFZI9Q3LT3ZKyCvqOmcKutcsA2LVuWUYy54d4BiG9Okj4sT+yESC3lJRV0G9sPTvXNDBo6FT6bi/BmnUkOU5lqlh57/Z5bH91JQOOmcj+3zu9y3O+CjsEUtphb8Td7Y0gm1QZGiWlFQwaOrXzZpEbcW/vaKW0JPVNliCRTuRLyivou299p4g7EXcnwp+u6F0kHCZUkfvPuB/R+UTinEsiLWGaFlrnz6aFSylbd2Fe9i0UnrDbJIumx1NSWsGA4XVs/2gJg/c5MKG4t3eEKS3pOd9fPYW+VWVcdey+fPkzY3lm0QYe+OdqLp+7kElD+/CN4/bllMlDCIWy//4TkUlYYv4ZVW0TkfuAiVgR6NuxZPwxVX0nKq6HYUW+1wH/AM4G/gDcrKo7ohL9oohMVdWl0c1si862dRVwPVaF+uuBq1X1dRGpAVriunY1oKo6RUTeBR4Vkf2wptyuivY5DKwUkV8BtcBwVZ0cfV/pLmaqVLVeRI7GEt3Jcc/fjSXiT4jIlXHPHQxMVtU10cdfjr73SuAtEfljtEJ/NfCSqn5bRJ6N7s+Tovvv0eg+vjK6ncdFpBzrZonT/v4AWKyqZ4rI8cBcoD7F8kT7/EaslPzPp9lfRUWg5L29rRlILiSpLjC9FvvxJ17G6hceZte6ZfQbWx8IYc6lVHqFn2nbfuyPbAQoFjfve+qBX6Jj4jmOBdyJTBUrHc2tbH91JQDbX11Jx3VWBN53aYdAinvsDcLYG0FuzllOjtVJh1yc8JycKtq+ZO0f2bxrOUP6HkDdmHMSr7R+k6M+xlLS2tGZcts4yr8srXjBsWV+zOdmOo64Q2bCHyt1dtS+ZnI9Qy/I/3k/G6GPF+dIy7k5j8BX7qyhZnI9e96x9mmuxT1fwg7epMYniqYn+w6qXt/IIUPPor321ISCvmT1M3z8ybsM3udA6sZ/Meu+GYJHr7ISLpk+mgsPHcm8JRu59+VVXP37txk/qJprjp/A56cOpbQklM0mTgAOwZJOsGR9C1aE/S0swZsds/6/VPUDABF5AjgKS97PE5ErsLxoKJag2vL+p+jvRViyD/A6cJeIPA78SVU3xGUUHIVVlA6sCLcC27Dktgz4EKt+WCUwGngXGBcV+b8Bz6d5308AqOo/RaRPAtk/Ajgz+vfvgZ/H7YM1MY9ni8hZ0b9HAhOA7UAr1g0OgGVAOHqDZBlWujrAG8DNIjIiuh8SRd2T9fco4Jzo8pdEZICI9EmxPN0+7zEESt5Lyyppb2vOSEj8EPvxJ10WmEi3V1LpJ7kcX+3X/kgkQLl4X26P92QyFQT8TJ8uqSxnwDETOyPvH++phT2+bc4igNIOiTN7xp0w0/Fnwe1x7Ubc2zta2bxrOQCbdy3nwI4vdI3AZyDtiYgdN+unyEN8VN7d586t8NvERu33vNNAxXqrjaCk2ds4FfpQrwqqpk3tjLznQtwT9W3oBTOJhM/PmbgXurDHEhtNHzC8rtt5IdFY9kTi3t4R5uNP3gXg40/epb3jdBOBL2JKS0KcffAIzqgfznPLNvGfL6/i2qca+I///TdXHbcvZx00nLLMJF6w0qW7zLcuIkOBGixR7gXYB2b8FNcqImOxorqHquonIvJI9DU24ejvDqLepKp3isjfsFLKXxeRk+kefSe6bomIzMeKxh9MNLU92s//Bkqj260DTsaKZp8HfDnF++72PlKsG0/nhzSajXAicISqNkWLy9nvvU1V7XYjRPdDdJiBvR9+LyJvAqcBz4nI11T1JY/7S3RbifZ5jyRQ8t6rqj91R1zpuZCku0hNJfdBEeRMo2peE5QCaH5GGbtEwgPyfhORS3EP0njm/b93OhsurfT/wt9jaYfcVJP3Q9y7bT/N8VBaUs6Qvgd0Rt79EPd48ifyzgreuRV3+zWJovZBHC8fTzKhH3jlRb5H3J2MX/db3ItJ2OPZ//CLu0Xc3RagKy2pYPA+B3ZG3o249wxKQsIX6oZx2pShPL/8Y3710vvc8Iel3P2/7/P1Y8dz7iEj6FXmqojoi8BfROSXqrolOl66N1bU+xZgLPBT4BvR9Q+Lyvo6rNT1B7CmbGsEdonIYKyicq+k2qiIjFfVZcAyETkUK7reELPKfOAi4KVouvwoYCWWvCdqbyDQqqp/FJGVwGNp3vf5wMsichSwS1V3xUWhF2BFr58CLkjRTl/gk6i47w9MT7Pd+H6PAz5Q1XtEZBQwFUgk74n6a++jH0VvImxT1U9TLE+0zz/E+n/3KAIl75BbIbFxcyGbq3H3iXATVcuEHIh5VrlRNnY//ZTsbI5Dp1Nq5ZsgCbkTYlPjQ9579d4iWgUq7U7xW9xt6sac41vEPR35Ennwfj75dFH7RJIYfKHfK9eRcJi20dl9NeS72JxNMQt7PCWlFVlXjK8b/8WEEXczDr74CYWEz00ewskHDubllVu458VVfO/P73DPi+9z+YyxfOnw0dRUpL/eVtXlIvI94HkRCWFVdf8LVtT499Ex7P8XHTsdwUqlv5e9BeuejUaSF2PNpvUhVnp2Oq4VkeOibb4L/B0r3d7mPuC/oinm7VjTpoVTpHkPBx6OvgeAm5KtGKUl2ucyEkforwUeE5GbsVLfdyVp5x/AlSKyAuvmwoI0243nPKxidG3AZuDHLvp7G/BbEVmKVZju0jTLE+3zCNAhIkuAR0zBujwQao0kvDBsHhmcmypeCG42NwAKcWqwjvYw/17yDMBBbl4XatO07ydokhxfBT6XIl9oMu6GtvbuQuRlxeot9zxJ44JlVNfXUTvLu3HFXkk7+DN3u6vtZ3B85UPc48mlyEP288knmkPebdQ+XQG8oLDpybmdY88zHc8vbXs/Y/ko7NeThB28n+ItXtJjx8Ebih8R4fj9B3PcxFpeX7Wd+15ZxY+fe497X1rFpUeO4ZIjRlPbO/UNdVV9CivCnOi5DuDw6LaOBT5NVNxMVWclef2YmL8XAsdG/74mwepriRaOU9UWoNs0Var6CPBIzOPYviSMyido49gky2Pb/giYrqoqIhdgFfFDVV8hJqtAVcNYmQaJ2quJ+fu2RM9F55RPOa98iv7uYO+4fCfLE+1zgONTbb8YCZS8JyPZRWOQpN4NQRRsv7BlticQXwU+snAu2ze/k9F0bsUs4l7QKdvTp1A7O1VGWHoiHwqNC6yZJRoblngmAD0x2p6UPIl7PPkUeUgv85nOIZ+OIMp8JBxmzzt7x/NnOwbdixsBTsinrENxCHsy4sfB41G2niH4iAhHTRjIURMG0vDhTu5/ZTX3vryKX7/6AV+oG5bv7hUihwD3ihXq30nq8fOGAqMg5D0ZqS4o/RL7QkmJDgKxMutFW0Hf77FV4AcOPpBtm98BLJGfunZ7QU2ZFWQiLeG9sr1gGZErzkoagU8ZnY+mx4cqoLq+jsaGJVTX12Ut7kGKtkOexT0g0p6IeCHJt8xnOod8JgQh1T5UUUH1pCk0rliWddX3ZDcCvLoR1xOFHXIn7TZl67cxpHwcm1s/sH9HctoBQyCoH9mP+y85hDXbGnn49TU8s3CDJ+3GR52Djoj8J/CZuMV3q+rD6V6rqvOBOl865oxHsG4aGHygoOU9FekuODOR+/iUaENiYvd9bNGqzbuWL86kvSDsd6cCc3DtGbQPOIXSknKWtGjigl09DY8FLtSrgurpUzoj78nkPGl0PsGY9tpZM7O+0C82aYfiFfdE5DoqD90r2LudUs5Lch2d3/TkXBpXLKP6gClZR8pDFRXdpn/LJhKfb1mHniPssuajLo/rep/AgXo0pVLG5u0f5LQvhmAxdmA1PzxjMtedNJF+t+e7NxYiMhJr3vHBWBXTH1DVuz3eRgmwEPhIVes9brsf8CBWer9izfH+hoftfxO4PNr2ySJyWXQIgcFDilbe0+H0otSW/PiU6KBO05UL3FzQxxat2rxkueu76F7u91ylotuinrBgV6ETECGrnX1B2oh7t+j8p31TtpmpuHsp7RAMcQ90mny4DVnzETp2uG+byJfIT556ER0HnEtJaYXvMyCmw8/ofGykvHH5Mk8i5LHTv2WSkp9vYc+XrEP+hT2eUglGAUJDMOhbFajjoR24TlXfFpHewCIReUFVl3u4jTnACqwq+F5zN/APVT1XRMqBKq8aFpHhwGzgAFVtFpGnsSrdP+LVNgwWwZL31rbuFxHMytUAACAASURBVH2jrOKN7R2teZGgZFHkmk2tQGu39ds7WmkbMyCHPcwev6U2m/9bbCp6sv3u5Nho72iFPBw/gRb3gIi4G2LT4FMVq+sSna+vSyvumWKi7QlweFy1a1tWF+m2ALRrGyXjxnRv36OK1blOr7dvTvpdxT4TvBL6RJFyL7DbcdJ+xfruhQFzTRCj635Vek8n7AZDIaCqm4BN0b93R6u0Dwc8kXcRGYE1Z/odwLe8aDOm7b7A0cAsAFVNLDLZUQpURqvPVwEbPW7fQNDkPRHrN7Fkz4tsblvDkLKx1NWcYC0fNTT163wgXSR1ydo/WnL/4QHUjTknx70rPuzZB2JT0ePp3Od9k+9zJ+sUPAUo4m5xVaRuSy9qL5hF5Cx/qk8HTdohAOLu4hiMPadnw5LdL1rjY/eMo6639d2gY4d3qVhdN/6LWW0jnnxE5SGYMg+ZC31spNwP4tuP7adfhQHTEfTouh+fGyPthmJFRMZgzaL0pofN/gdwA/7MXT4W2Io1JV0dsAiYo6qepN6o6kci8nNgPdAMPK+qz3vRtqErgZf3dm1jc9saADa3reFAO1qT6kLRR7FPJu7tHa1s3mXdeNu8a3nxpUvnmUT70sk+L6j/Sw8Q8IyJqLMidXHj2b0WgyCmyENhpcnHn9PJsKJ0u7axudUaE7u59YPOcbIdH6ztUrE60TzSXpGPonc2QZV5SJ6CHi/1fk7rZvWhe/u5LAwIwRd2m/hK79l8boywG4odEakB/ghcq6qfetTm54EtqrooOq2d15RiTUd3jaq+KSJ3AzcCt3jRuIjsA5yBdZNgJ/CMiFysqo950b5hL6Kq+e5DJyKyFViX4KlxwD7AJ0A2FUwGAtuyeH06JmGliWTbz2T43X+/2x+tqoOcrpzieIjFybGRbJ1C3p+F3HfI7FgowZvzQCIKfX8WWvuxn8mOLM4LyT7b2XxnFNq+LLb2/fieiMfN8dGTzuNuPzfFcCwYCgNXx4KfiEgZ8N/A/6jqXR62+xPgEqxx9b2wxrz/SVU9qdQsIkOABfbc9SIyA7hRVU/zqP0vAp9T1a9EH8/Emmv+Ki/aN+wlUJF3vz+YIrJQVaeZ9vPTvlvM8ZCftnPRvlvMsVDc7bvBHAvF3b5bCvl4KPT/VU87FgyG6LzpDwErvBR3AFW9Cbgpup1jgeu9Evdo+5tF5EMRmaiqK4ET8GisfpT1wHQRqcJKmz8Bq2q+wWMCJe8Gg8FgMBgMBoPBEEA+gxUdXyYiDdFl31XV5/LYJzdcAzwerTT/AXCZVw1HU/H/ALyNlT2wGHjAq/YNezHybjAYDAaDwWAwGAwpUNXXAG+L3yTezivAKz602wD4li2jqt8Hvu9X+waLjAoFFTB+3wEy7RcWhbw/C7nvQaTQ92ehtx8kCn1fFnr7QcOcx/PXvsFgMBjiCFTBOoPBYDAYDAaDwWAwGAzd6WmRd4PBYDAYDAaDwWAwGAoOx/IuInOcLDMYDAaDwWAwGAwGg8HgLW4i75cmWDbLo34YDAaDwWAwGAwGg8FgSEJaeReRC0Xkr8BYEZkX8/MKsMP3HhoMBoPBYDAYDAZDABCRK0z7+Wu/p5O2YJ2IjAbGAj8Bbox5ajewVFXb/euewWAwGAwGg8FgMAQDEVmoqr5NuWbaN6Qi7TzvqroOWCciJwLNqhoRkf2A/YFlfnfQYDAYDAaDwWAwGAyGno7jqeJEZBEwA9gHeB14C2hV1Ys864yIAlT2G0ooVAJAy57tdLQ2U1JeSdk+A7zaVCeR8sTL27dtJ9LcTKiyktKBSbYbUQhJmg0orR991PmwfPhwpCKL6fkiEcJrN3c+rBgzBEIeTRoQiSRuK8E227buJNLYQqi6F2WD+zvus6qm2WF76TweRg0gVBFzn0kVJHEzLZt20rEnDCUl0NFBqLqS0tp9nG4yI9q3fEKkMc2xkgmRCK0fbex8WD58mPX/iVteMXg4kmR/eE3IZZ6NqibsW9O2DdtUdZDTduxjoay6lH6j+gDw6YY9hHe3UtG7nD4jatx1LAua2ssye2GK4zYVbe0lzlZ0cj4CaPfmfBFqS7xcVQl/vPecF6qoJBJuJtSrkvJ+ez8f0qY0b//Ifo3jHRMqKVWNdHS2F789t5+HSIb/zrSURqIbUFrXbepcXD56qLP/kweUlbRndMz5StznwD5nl1SV09HUGl3F/ffEgHG9aSurRCOKpNi/TRt30b473GVZ7wmDUr4mFeH2tDEQz9D2vX1s37qDSFMzoapKSgf1T7vcKdLu/fES+z+RJOeNri9QWra6PzeU9a3UisF9AagqdbIhd9SUtCR9LtnlUzK2rA/T+GkH1X1KqB1VkXRZLohEYN3yps7How+ocvRe4l8XS6I2ItFTopNt2fuiqncJTbs7AHfHwsCBA3XMmDFOV3fN1q1bGTTI8SVMbtvfuBGGDfOvfQf43f6iRYtcXUMWG26+dURVm0TkK8B9qvozEWnwukPlVX2Zeup1AHS0hVn4zM3W363NTLjgakrKvTuhNQ1PLNGRcJh13/mu9XdzM0O/cRWhiq7b3fLIXBobllBdX0ftrJkpt2OvW3PEZIZ+67ys+73prqfZ88Y7nrXnpM3Y5wd//QxWz7wDgEhjCyNuu4xQZeL/S6Q5TKiyovP1rgkJBz/05c6H790+j+2vrmTAMRPZ/3und1m1o7mVBaffHX3QEe1fM0Nv+TahXl37F2kJd1uWCZGWMOu+/EPr7+Zmhv7gy4R298m6XZstj/yOxsVLqD6ojtpZlyRd3uvj3M76WLkl/TofvDiXnWsa6De2nnEndP2MvP3gt9Zlst22xnbOeOBEAB6c8TQA4d2tnPHAiZRV7bWwtqa2Lo+9ZumO1F+M8aQ6btOxcWu/tOtsuedJGhcso3r6FGpnX5C+0S29XPUhEb22JL+O2vDsXHavaKBm4hT2rLQStCItzYy++GpC0XN45Za9x4gbNNLRpT2AlT+/qfP5MZd8o3MbTmgZHHG1fUcM6iqHrv8/WTJs0M6sjjm/iO9T7Dm7o6kVBMjg3raEhC//6WTm3bCAlc9vYMhxE6i/7ZRu67U3tfK/p9zfZVmydd2wZpv3gYVktGyvJNIS5sPZtwAQaWpm8HVXEupVkXS5W8q2eXdDYvMTc9mzrIGaKfUMudD6Hui1de/zHa3hhNd16/82l0//7e7cUDG4L/X3WduY2n9jmrXdc1Sf9xMuv2fOKt58bgeHn9qf2Xfvm7adlsYOvlK/CIDGTzv43mOTALot61Wd+sZtS2NH2nWc4vY9JHodkLSN2PWGjOmVclux+6dpdwf7DC7jk4/d3YwZM2YMCxcudPWaokHEEvgiRkQyuoYsFtxc8YuIHAFcBPwtusybs0aUyn5DOejMWzofl5RV0H9UHQB9JtbnRNwBQhUVVNdb262ur+sm7pFwmMaGJQA0NiwhEg53eS6eYTefw/i5N3sm2kO/dZ6n7UWaw51iveeNd4g0d38PsdsMVVZQc8RkAGqOmJxQ3CPNYTbd9TSrZ97Bpruetvu62E2/KkcN4DP/c33n447mVra/uhKA7a+upKO5tcv6JZXlDDhmIgDlg3oDMOCYid0uXrbc8yTrvvxDttzzpJvuJCTUq4Lq6VMAqJ4+xdrWoHC3i/dMqZ11CSN/dGsXcbeXj/7ZHZ3L3QhIpDX7vjXXWj/J6GgLd0rZzjUNdLRlt82yauticvxJoyirKqOsqozxJ43qsgwsaX/+xvk8OONpnr9xflbbTIWbC8N0x206hg3amfL5SEuYxgWWIDcuWEakxZtjLx0ttcnPoSPOmsnE63/CyHMuo/ekegB6T6rvItUdbWH7po6r80JJeWWX9kLlFUm3kfY95EDcAWpnX8Do397qibin+v8OG7STYYN2Zn3M+UGiPpVUlneeq8sH9eYzz38bYIWbdgeM6831b59Da1M7K5/fAMDml9+nvan7ey6tKmfIcRMAS9pP/PuVWYs7wNiB27Nuwym9BjQT6lVB1bSpAFRNm9r5HZdseb6IhMPsWWZ9D+xZ1tB5fdQR/Q5a/7e5rPjPm1j/t7ndXjvqNPfnBj9JJu4tjR28+ZxVu/nN53bQ0tiRtq1e1SWdsnv4qf3pVV2ScFkq7pmziq/UL+KeOavcvI2kzL57Xx5qOMSVuMe/Llkb8fvoih+PTbmt+H1x+7MHAixx/aZ6KkOH5rsHBp9xc3v1WuAm4FlVfVdExgEve9kZO1W+oy1MSZn1pTPhqEvYNeiCnIm7Te2smUTC4W7iDnvl3o682+vER+NLhzfufU2SyHSmeNmeLeN2ZD1Z27HLh37rPCLNZyRcNz7Kbt0QOAPA1ZVyl1R59sq5HbkpqbTGPNgXgYAVzbnOerx3uSU/G7f26y46V5yV9QVO7ewLErczKAxbs2s7WeQd6Dzu7OPUFpFUUXg7Itp7Uj0jzkqdMeKE5trEUfiSsgr6ja3vjLzbn+dM6TeqD6f+xzFUDazqXPbZO2fQduveCPvzN85n9QvrO59f/cL6Ls97zdT+Gx1F4JMdt15h30CyI7uOjufaFk+i7yn7FT1njzhrJpHTzu8i1fZx2G9sPbg8L1T0GcDIWVd3aS/RNiKt4ZQinytxt/FCpJJF8ONv8HhxzMWeV70gUZ86mltp3bobgNatu1nxgz8DTHLTbmkv63uivKqU3oMr2f1xM70HV3LQ0G0ALNvV9TNaf9sptN9wAqVV3n4Oxw7cntMI/KArLiYys3sGWbLlTrPNIi1h2gZ6E30PVVRQM6W+M/IeqqjojMT33ncKu1dZ38Wf/ruBjpPOT3Sd5/pD6vVxmw5bNO1IstNo+ey796Xlx10j54mWJWujyw0DB69x+l6yfV2iNtzuI9i7L759yjKuPrIBXJ4XejRFHnU3uJB3VX0VeFVEakSkRlU/AGZ73aH3X/sdO9Yvof+ouqi4t+Vc3G0SibtNvNzHR+ND/XcA+b3r7YZUMp6MZBH3+PT4VDcE3BIr55A4Hdl+Lv4L3L7A3eZWdBxgt9PtAsm+mM9A4iPhMI2Lo8fU4iVELjwvwfCN7nKfTOIjrWF2r7CiILtXNHSTnUyxI/DxEj/uhJl0tJ2ftbiDNb790ZOfZfxJo/jsnTM6l8dG3GPFHbpG5DMlXfq9U4GPP27dMmzQzpTp80lvIAWEeKm2j8NodoarMR+RUhIet6Hyik5h9/omlSM8yrZJRqIbjyNGNiddP5tjzq+U+/g+xQp9/6MmsOO1xNFNJ7Q2tbP7Y2t/7P64mdamdsqrSpnSd2M3gfda3G1yJfC9BjTTsr0y6ec9fvnWBx6jaeFSqqZNZdAVFydtN3a9YWfP8qSvQy6cSeTs8wlVVHSJxO9etaxT4Pvs501mZcumnSw4/W7GnzSKqTHfE9mSLOpu41S641PTk4luOjKR4XzjdB/F0tLUwY5NnRk0ubsjU+jcdpv1YyhaHF80icgUEVkMvAssF5FFInKgl51RjbBjvSUrO9YvYflbj/Le3Tfx4bzuKVWZ4EbcnZBK7gsRLwQ7PqXey/R+m9iIeyapofU/+hzT583xfOxpynT8DFLpQxUVVB8UHb5xUJLhG7FyHzdkIz6ymE16sRMSpdJ7Ie5gjWuHaDS9qfvYt/g0+svnn9dF8jPBafq90xT6bKNB6dLnXYt7bfLiS05JlTqfazY8O5eVP7+JDX98uOtNqgTDRHyJuvtM7BCdAcdMTCnuNplG3P1MuY/v0/7fO53p8+Yw6ftndg57ygQ78g7Qe3Al5VV7YxNT+uYuEpWrFPpeA9L//8G66dO0cCkATQuXJh12Eb9euKYx4XqZYH932ZF4gD771TP6C5cx6eqf2CnyWdOxx3pvyb4n/MR1tNxBen0qMk1zzydubzL0G1RO/6HG2V3zgx/kuwcGn3ET8fg18C1VHa2qo4DrgN942RmRUOcY931GTGb3+9GUqpUNnWOkMiWRuCcan54p5ePa044D7ynEj4/3i9gx7m5TQ0sqyzvHhybDzdhhx+OOXUp8/Nj2WNLJPViSEisq9lhkP6ORqcbCZ0pFb+t/myqa/tk7Z3RKuxcRdzuS7+RC0I/iSMVK7E2kvqOnQAapsfF0ySpZuYyaiZbk+nGTKiE+R91t7BuPfhagy+a8mo5kNwJihz2R4TjnPdtaukXeYylGgXeC03HwuRovP+TCmYz7/l5h9zKzsqTGasuLrCubdFF3p7gd0+60zWLn//19Sr67YDAEDjeDmqpVtXOMu6q+IiLVXndowlGX0NF2Hs1jKumYN5dPVzZkXawukbi7qRafDntseyap58VK7D6wK877QbbpyLA3ohmbluy2OnSyccdJxxm6GA+fevjGJQnT6eOJTaXPhcwkS6XPlD4jahxVlPfqgs2O5K9+Yb2nF4LZki59vlAYcdZMNkQ62GVVoh+XbXv2DYHYVPlkY949j7p7LO7Jzhn2eSoX43m9OK/G4yIV3/U/yK4yX1Pbiz1bWpj42RFdIu82tsDHp9H7QS5S6O30+XQkGwef6XrZ4lfWYq+h/Zjyiws4aPi2Lsv9nn3EKZmkjvd0Hvjumnx3wWAIHG7k/QMRuQX4XfTxxcAH3ncJmsdYX0YjT59JR2vCIiaOSRZxj68Wn+jLJNlym9iCdDZBFfdJQz7OyXZWbB7c5XHsFHN+4dUFpi1GmRa1ix93nPYGQMx4+HTHWircvM5JUTsv8Uria0paulx82cXp4sfAe0l8Qbx0OB3/HihcFK5Ldoy21GrKaeMSttUaZnd0CjlgH1cvTkJ80To/b1J17guPxT3ROSPdcAm/8Dri3iUV/7rWboJl87rLtjWinVXm92xpYfwxQzn9Z9NTvibROHg/CJLAOxXy2PXaBrZ7Urgum+83t8Qft06+K5LJvVdR91iMuDsndqiBwQU9dYq8HoSbK/gvA4OAP0V/BkWXecqe4V275LW4Q/qp4MCKzK/7znfZ8kji8faJxD0oTBrycbeffGx7Qp8Pu0xBh8vCVFWlbTlPRx42aCcjRjZ3n/7NIbERd6fTd2154lHW3XAzWx75XdJ1vCbXY369SKU/qs/7HNXnfdcp7dngNlqTi+M1HzKX7nzoltjUeeATTxrFX2G32fLI73z5vCY6Z+RL3L1gav+NnT8HDd/WpSZFMnHPBAkJE47fK+KrX93ULWU+EblKow9SCn0+2PzEXD74wU1sfsKbc4cbnHxX5GJqUUNmxA41wMPvCYOh0HEsU6r6iarOBo4BjlbVOarq6Yepw8OspnTF6WpnzWT0T3+cMGU+1Tzuof47AiXu+RT1dJRWlTPseKuYSvR3RsY4tf9GJvVa52HP0pNtUbuE878noMsF++IlRHp/mlmHMyB+PLzfpJsb3inHDVnb+YWeLqU910WLoPjGv6c6H2aDXX8BnzK4EpHt8d6tSKSLuhjpiD9nOClIFwRiJT32J57YmhQ2Xn0+z7zrSCacMBygS8p8OokvFoF3WrwuE9oGpr8Rkoxk87wDtAzKumuOiL1pFP9dkcsbwYbMeOaBclasrIUcfk8UPNOm5bsHBp9xnA8lIlOAuUD/6ONtwKWq+k7KF+YBp1Xlk6VxJZvHfetTD3emgHtdQd0NQRL0dEz7wcm0f+c4SqvKmffSqozaiE97y1VqckllOcMqu4+Hd4qT6bsSjpXvlfn0cpmQr1T6bIgdO/hakvsduUitT4bfKfSejn1Pkzqf7HzoBTkpJuchdpHIxsVLPJ1q0qZ29gUM/u7xOZ2n2i3Z3Jzyc+jLmb84onN6ONg7Dn7iZ0ekTKMvphT6oJFonvdcEXt8XT7/vIQ3eYNa28RgMaPSurFSXZ2baxODoVBwM5jJrjb/MoCIHAs8ABzpQ78yxqvp4OLncQ/139ElBTzXhekKSdjjyWZO3W53xm/dm0qfy/HFiYraOSGTsfKduChq5wUtgyM5E3gvsMcOHtXnfV77dEKX5xIdN+bCLHPiz4fxZDLuPdd4lWVS++3ziLSc4UtRL+s8Eyxx9yOTxK/PZ2zE3R4Hv/L5DbTe1p6wgJ1NMQi807HvuSZ2nvdcEX98HXdr8ps3yWqb+DHe3eAcW9wNBkN33Fypd6s2D3hebT4b/JjHvXR4I6XDG7vNX54LcQ9iKnyuiZ+/O/YLNll6pp+km14uU5KKQAbzw2dDrlPpvcIeD2+T6rjJFX4fm7keD53Li++g45+4B4NU6e9e4Pfns7yqlImfHQGQtPJ8PFP6bszpdHJ+4Ff6fDap85D7c4fb48vc2A0WRtyz5Pvfz3cPDA4QkcEi8pCI/D36+AAR+YqT1way2nwmeC3u0L0oXS6mguvJop6MdFW/8xWJz+mUXYOKO5XeK2yBf+3TCa6rxftBwVSgd1F1vhDx7IaUTzfSgiDuub4R6vfn8/SfTU8bcU+E31H4npg+nw+CcP43uMNIu0fcdlu+e2BwxiPAw8DN0cf/Bp4CHkr3wsBVmw8KyYrS+SXuPT3Cng4nX8DFEoVPSR4i8YWILfFBuHDz87gMgvT1GIpU3PORwWTj9+fTrbjb+B2B97OAXVCj74nwu2hdEM7/BmcYcfeQYQUQMDAADFTVp4kW81bVdqDDyQsdf7NFK8vPFpG+QERVd2fSUz/wOuqey2ryRti9pZDGw2dFDsfDF0MU3mAIIvkS92KbEcEPTATeYMgNRtw9ZtOmfPfA4IxGERkAKICITAd2OXmh46txETlURJYBS4BlIrJERA7JpLdeUqjibiLt/lJM4+GTYsbDOyIIhYcKQpZqW7J6eUut90OXvMCTY9aHz1k+xD2fUfZCpFDHwPs5dZzB4CVG3A09mG8B84DxIvI61oxu1zh5oZtQ2kPAVao6RlXHAFdj5ernjUIUdyPtucVIvPcUosQXs8DnO+3a4J5c/8+MtGeOnwLv9/zvXuNH6ryh52LE3ScOPjjfPQg0ItJfRF4Qkfejv/dJsM5oEXlbRBpE5F0RuTLmuUNEZJmIrBKRe0REnLYbi6q+DRyDNWvb14ADVXWpk/fgRt47VHV+zEZfA/J2Ji80cTfSnl+MxHtPIQp8ECTekDuCGHXP5TmhJ0h7dcj/c14hCryJvhuCyozK9Ubc/WTRonz3IOjcCLyoqhOAF6OP49kEHKGq9cDhwI0iYo+j+i/gq8CE6M/nXLTbiYhcDdSo6ruq+g5QIyJXOXkDaeVdRA4WkYOBV0Xk1yJyrIgcIyL3Aa84eP03o3ct3hGRJ0TEcUnjjtbEX8peirs9FZyfGGnPL21NbZ1/50vic0oRRuEjHm4inwJvou8FRoGKexCkPfa86zeH1rif+Ka1yV3soRAFvqdSEDN8BIyWRkd1srLGSHsOuOKKfPcg6JwBPBr9+1HgzPgVVLVVVe0LgAqiviwiQ4E+qrpAVRUr1d1+fdp24/iqqnZeFERry33VyRtwEnn/RfSnDtgP+D5wGzAJqE/1QhEZDswGpqnqZKAEuMBJxz6cN5f37r6JD+fNdbJ6Rphoe/Hz/I3zeXDG0zx/4/wuy3N9cdsTovB+Svy65U3cM2eVZ+2ZCHwSshz3bkhOLsU93yQ77/qJG4Gfd8MC7j7yz8y7YYGrbRTaGHg/ou9ep877XXHekJ575qziK/WLPP2OTYQR9xzxm9/kuwdBZ7Cq2lX9NgODE60kIiNFZCnwIfBTVd0IDAc2xKy2IbrMcbsxlNgp99HtlQDlTt5AWnlX1eNS/BzvYBulQKWIlAJVQNpvv47WMJ+ubADg05UNXSLwXkXdTbS9+GlramP1C9aXxeoX1ieMBBmJ9xY/Bf7N53Z4Gh3Il8AHQa56Alkfix5+bnLxmQ9CtB2cnXf9wonAtza1s/J569pr5fMbAhOBN9F3Qz5oaezgzed2AN5/x9rkKk1eRK4QkYUisnDr1q2+b8/w/9k78/CoyrP/f+7JngAiSzBsLqCAiqCkClbcWlERsb7tS7WtiNri0haKttauarXWqtUX2kql2iLat9X2V98CRcVWq2gVRQ2iIhVcAFnCIgLZk7l/f8yccDKZ5ZyZs01yPtc1VzKTszxJnvOc832+93PfvtLP+F/HXx3CDUTkH/GI78TXBebt4u55UmGpqptU9ThgOHCpiGQS45aOa+IJ4BER+YyIfAb4Y/yzjGQsFSciQ60cCNijqnvNH6jqRyJyF7ARaACWq+ryTAcqKC6h14ix7F1XQ68RYykojpXEygfhni+i/cx+7zh6vKd3jnT0eE5QVF7EsLOGsuGpjQw7a2jamq/H9dnStcvLGULEg/JybpWWO2lyH0orChw95im93u0ypeQG9t/jbbnCJDRWKqW1knnDboTbwj0Igt2MnXHXDQwB/8r+I5L+vLi8kBGTBrNu+WZGTBqcdS14N3CjfFxp3wYad5U5esyQrkNpRQEnTe7DymW7XbnHeum2q+oCYAFAdXV1MMufhDjFTlWtTvVDVf1sqp+JyHYRqVLVrfEw+Np0J1LVLSLyJjAReAEYbPrxYOCj+Pe2jgt8l1iiuqvj758C7s+wD2CtzvuDmTdBgYXEYv/biWfauwA4HNgD/FlEvqKqD5u2mQnMBCjqdSAx35Cp02lr/mIo3HPEaZFu9zx2Rb25P/QbaCl6JC2Tbp9Iy49bLD1A+lUjPqwPnxxzX+hbVcysucMda5sZP+rBez1ZlO+Y+0Jhr7QJXJ3BIde9uwl3g3TjbqaIl/kWjm/lPvGpHu+lFPBT7xhP802tWQt3t2vAh1jH3BdKKns5dtzn9x7ZbZZXzZo7nMbb2vJauIeY+OijzNt0bxYDlwK3x7/+LXEDERkM7FLVhriWPQW4Jy7M98Zrsq8EpgO/tHpcM6oaJXbLs3Lb60DGO5eqnmH3oCY+C7yvqjsAROSvxFLit4t380xZ2SFDOij0fBHuQRLtXol1q5jbs9jC9ub+cMToCnVCWNl1frwW8V3ZhYeYiM9GwCf2BafblYjXLnwo4K3T4T5RNSRjX8i3SgjZEFThbnDGSF6SQAAAIABJREFUIR+4dmxzfxiWZmxIJ+BzddzdEvD54L639GulaGcwIhbMfaHHUYe094U3dg8M/DUSJJwU7qFo95lXX4WB4bNFGm4HHhWRK4APgWkAIlINXKWqXyWW1+0XIqKAAHep6pr4/tcQM6zLgMfjr5THTYWIfJpYDrlDielxIRZxn/ymZcLy6Csiw4DNqtokIqcDxwGLzJnykrARGC8i5cTC5j8DrLJ6znzAa+HeWt9MYfkBpyFoYt0tUon4lnprrno2hCLeOdwKpXearhRGnzWVjVBruShIWqLNTUSKvZkkcowAuu5tDc0UlMXG/aAKkqC6lOkEfK7kk4APKtGmJmLJnL3FzWeH7kwo3APA1Kmg4aqBVKjqLmJ6NPHzVcBX498/RUznJtt/FXCs1eOm4QFgDvAqYCvZhJ2p0/8HVIvIcGKznH8D/heYnGoHVV0pIn8BXiNWE/71+L6WCbLr7rVwX3Xjk2x5ej1jz6lkxj2jPT13UDCL+OU3rGhfVznp9omunbNbiPiAu/Ah1gjCuneDzY8tYt/aGnqOGsvgC6d7dt4guO5OCvd3bl3MrmfX0fe0EUy7O+USP88JqlhPRj4KeKcJ4tr3bX9cxP41NfQ6aixDz/NujPDq2aG7EQr3kBBbfKKqj2ferDN2nqKjqtoKXAj8UlW/A1Rl2klVb1TVkap6rKpeYqqbl5H6QRqflc0Np4W7HyXgWuub2fJ0rIxHzRO1NNU5W64l36gueMfRjMZW9u/S9eE9zEqfq7hyux6tl6IkqC5qrkSbm9i3NlYxZN/aGqLN3lU8yOme4cA14LTjvuvZdQDsenadp5nbk3FKr3fbX/lGNrXgreJGBvqgZ59v6pHbc1W0qYn9a+JVhf7TsaqQUySbcLdTDaHbR2FZxMgmX1fn/8RpSEge8YyI3CkiE0TkBONlZUc74r1FRC4mtgh/afwz12KO6gcptQsX8eF3v0/twuxrvbsh3L3kzH7vcGa/d5g09D3GnlMJwNhzKimpCMZ6M78wMqQCOWc0tlOTOCwt5y9e1aPNR3ESJCLFJfQcNRaAnqPGehY6v/mxRXx4/Q+oXfiQJ+dzm4KyYvqeNgLIfZzLlnwW7Im4KeC7EzsWPMymWT9i2x+zfzaLlJTQY3RsjOgx+kBVIbcxqiGAf9dUV8Jw26+5eg+jRtRyzdUePq+EJOe++/xuQYg1TgKqgduAX8Rfd1nZ0Y4CvAy4Cvipqr4vIocDrj0hRZuaqKtZDUBdzWqiTU1ESuwN7vks3JOtZZ9xz2iabm11VLg31Tl7PC/pmCHV3lplY71bp1n4gGam78qh9FbpVI/Whey4Zrxa/+504rqghM4PvnA60fO+6JlwN7v9da+vJnrxNHv3jIC57gbT7q6mpX6M5yLDD7HudlQNwGh5lzXq/HXtRvi802vfnQidjzY2Ub/qDQD2r6kh+l9ftP1sZnDIxdMP7O9hWW47VWjS0Vjn7j0oyJhD5Ovqoixd0gjA0iWN3HlXlIqKcHmcb8ycmXmbEN/JJSG85atLVd9W1Vmq+sf4+/dV9efZnjgd9YOUSEkJFWPHAFAxdky3Ee6G054KJ4X2wjlr+G71syycsybzxs5gazSPWojAMt84rbpDZqc911l4P5x4zwiQCx+NwoLvv9/+3o16tMnoCm6jn3iZrC5SXELF8fF7xvH27xm54vS1aR5bvBTufrnsRlQNMMzOftGo9bw498x6j+ljVvP89/9hs3XWcCN8PmhESksor47lceoxemzO15nb12mqiVGr11SqCVyvosCCSOLa9oqKCFPOjyU5nXJ+qVvCPZwNsIqI3y0IsYCIDBCRB0Tk8fj7o+OZ6jNi+WIQkSki8rqI7I7XuNsnInuzbXQqzAnqKmdM59Cf30blDHuJTPJZuHtFU10rNU/UAt6soY9PEBxvZ58P367P6saY7uEz2Xq3SbdP5KsrpuWUuKbLh9L7zIdv17e77gAzbzvcx9Y4T+DWvlc2+t2CrKiccQmH3vFTKmdcYm/HAPRxM370Bz9D481RNYCtsJEP3m7gnlmZw+Eb69p4cVls3Hxx2R5Gizu/q9MC3um176V9G3I+Rv+ZX2HIvFs45GLvkswFiU5RYB5EjASFVEnp7p3fm7XrKrl3vvNRX/FQfFvPjyEhecBC4EnAmGH8D/AtKzvamcn6H2Lr3fuqai9V7amqvey0MhPR4s6fdQfHPZPb7gYlFYWeraE3TxTYJZcbY7IH0VROuxPOVpdeDx8gF94r190gdN/zAyMRoteOOzjrunst3IOwnr20ooDqSQdnvf+Ly/ZkvE+UVhQwYXJMWEyY3JvSioK8WQMfxOR1kdISWvrlR+LcXJclJbrv5pw7Xt+P/CRTNnk3HHdzSH5ISBejn6o+CkQB4knhLQkeO4ptE/CmanCLB+abcPe7Rrsba+iTYUwUZCPgc70xJqsP79R6t1Q4vYY5E56ucfZxLfxJk/sw87bDfXlQCuu/d2FynJTyNArGQfwW7InM+fWR/M/X3+WV5R/b3tcQ4xnPMe8Irv5Zx3XKbpSRy5fycSHZ0zHnTtfGzxJwRkh+KOBtMGWK3y0IsUadiPQFFEBExgOfWNnRzjTZ9cAyEfmeiFxrvOy3NT/o6sLdwKtkdfG69K/b2efQo8uZNXe4I+dPdJfcXkMauvDOYvSFrvyg5GR/yVdB2d3xYswIgtOeim/9+kiweZ847Ogy5syzLr69GkOCvP7didD57kayyduufD8yCELt9ngovq1xoVuzZInfLQixxrXAYmCYiLwALAK+aWVHO+L9p0A9UAr0NL0CgZOuu5vC3Y8Q+QBhqwhoxIX0JF4/tHb5hHYe4UZfsEtQBU/IgZB52wTIdfdKuOcBNu8TuSdnyofw+SCGzucTXkbDdRWCINxNhEXkrXL++X63IMQCqvoacBpwMnAlcIyqvmFlXzu260BVPTaL9rlOPgn3EP9JFkrvNl6G0ntaVs4QPwErK+cWYfh8iBu4LdzzRLT7Shg+H5KJ5/ce2W2upYAJ9xA7LF3qdwtC0iAi/5XiR0eJCKr610zHsONnLRORSTa294R8EO7Zuu2pMsC7nRk+KLS1upteIXThHcRlF97tvhDSDQmI6x4K907YWsvV1uqcIRd0Bz6I7nu+JK0DZ9z3cPLWN7xZ4xkS4j7nx19XAA8AX46/7gcut3IAO+L9auAJEWlws1ScHfJFuGdDqhrsPtRm942N7zTwzVNrXD2HH+s/QwFvHy/6glXc7C+BKxmXB2QdMp8DoXB3h/g1PsbOPh++08jVE4N7Pwzq2vdw3XtIKoLmup90Yi3YHBdCQoKKql6mqpcBRcDRqvp5Vf08cEz8s4xYnslS1cCsb3eaoAn3TjXY4xnhU32eLZN7vA3ESnFkU+Jj2f6jsz63VXZvbWbPjmZ694/VEWyscye7q9fh0GEYvX2MvlBaXtAtEgWFhGSLl6LdqTF5z45mdm9tzmrfXVtbOtwnErHTRjfC50OCwxu7B+Y8adaVw+eDJtxra1vZuiVc7m6L4BYFC+nIEFXdanq/HRhqZUdbik1EDhaRE0XkVONlZ38nccp1D5pwh9Q12HOtzT65x9sdXgCzr/6Y40duZ/bV9svzJDue0/SpKm5/IJs3ez1XjH2VebPXu3KuMIzeQVxw4ftUFbPo1o2u9gGrdNUHt25DDv0z6K67l30z1zF5YtnG9tf5Q7dRNTC7zJR9q4pSCvd7Zr3H9DGruWeW9ZB4p8PnnXTfgxg6n2+E4fP5Q2VlIaWlfrciz1iwwO8WhFjjnyLypIjMEJEZwN+Bf1jZ0fKdUkS+CjwHPAncHP96k+2mOkBXFu4GM+4Zzc9XnWaUWMv4eTIyieu6uiiPL43Vznx8aSN1dbnNbjot5EeNKqTmlT5AzDlZuWw3ACuX7aaxrs2RcyQShtE7iIMCftSoQl74V29P+kBI/uBHyLwTdAXhns2YbBbryRy+lS9XAqy2045RowqZvyL5/bCxro0Xl8XGvBeX7QnHjADT2N/vFoQEzXWH2HNqY1ji3R5XXul3CwKNiPQRkadE5N3414OTbHOoiLwmIjUi8paIXGX62TgRWSMi60VknohI/PObROSj+D41IjI5XTtU9RvAfcSWhIwBFqiq46XiZgOfAj5U1TOA4wHPiwl3B+FukMpZz+S4WxXQFRURzp0Sm9I8d0ppVqHzubYhHYXxlR8TyzZSWlHASZNjQv6kyX1cD5sOBbxDOCTgC4ti/XXK+bH+6kUfCOmiBMB1dwOvxyyrY3I6sZ4CWxnQiopSl4orrShgwuTYcqEJk3vbGjOC7L47RZDWvZfu8PZ8ofueH5jv+yEhDnED8E9VPRL4Z/x9IluBCao6FjgJuEFEjEFjPvA14Mj46xzTfveo6tj4a1mmhqjqX1V1Tvz1mNVfwE7cdaOqNooIIlKiqu+IyIhMO4lIb2IZ9I4FFLhcVV+0cd4Dje1Gwt0u2QrlufMP5ra77K15t7NGfnKPtx1ZGz+xbCPMHU7jbe6seU+GG+vgW+pbKCpPno/C63XwnqyBh5hYcmgN/L3ze3PnXVFeixzmyPFyIZv+ke7/H9I1aGtopqAseQg3uDNR59cyjlkpxmSvHbxPl27lhcaqpD+bM+8Irv6ZO/eN5vpWisu9T4J9eL9dvL+zr+fnDelMV1n/PrFsY9b5j9zm3vm9Wbpk2+t+tyOky3ABcHr8+weBfwHfNW+gquYELCXEzW4RqQJ6qepL8feLgM8Bj9ttRLxk3M+BSkDiL1XVXpn2tXOVbo4L8f8DnhKRvwEfWthvLvCEqo4kFhaw1sY5MxJtcHZtbWt9dglz/BLudh3uZKHxdgbrZGvkM4XbZ+vCRxMiHA0H3kucvCkvv2EF9098lOU3rEi5jfnBvq0heV9M9bldBvbf45qTGG1MuC5zdOCjbQf6WUVFxFNxYCXUtqW+JeM2Vv7/EGact0p9b29dQyvXyju3LualqXN559bFSX9u539rpU9Z2cZtzGOyTYc9FbbUQ7Qtlpzp06VbM2xpn3Tu++LrX2Luyf/H4utfcvy8QaTTmJ5u2yZ3S4emoqXV3vOBU5PlXjvwye5JuS4JuebqPYwaUcs1V2f/TJDr0ssMx8nPNVJ+sDj5/SeknQGmRHHbgAHJNhKRISLyBrAJ+LmqbgEGAZtNm22Of2bwDRF5Q0R+lywcP4E7gKmqepCq9lLVnlaEO9i4Sarqhaq6R1VvAn5ErDbd59LtIyIHAafGt0VVm1U1q5Ehmeu+9e5H2TD9p2y9+9EOn6cT9Olc91U3Psmys3/LqhuftNU2P4W7HXJJTgfJ18jnesx0vPVWa6cbidUHQyfXNjoh4FvqW9jwVKztG57amPah+7g+W1KKgEziIBucFvC18/7Eh5f/hNp5f+r4gxwE/FtvtXZ6sPBCwFtJyJVOlBv/Zzv//5DMbH5sER9e/wNqFz5kb0cXyxm2NTSz69l1AOx6dl1Ok2xWJnqMbV77ke0Jf8dxSLQz82sfQ2xJnmXefKuVq5Lcf4x7QDYJ6zLRXN/KuuWx57d1yzfTXG8t0j+IofNW2LHgYTbN+hE7Fjyccdttf1zEezd/j21/XORBy3LHq2g3p0h2T8o1cWRjXRtLl8Se7ZYuyS7/kRPiP9fjiMhMEVklIqt27PB4HUaQGDfO7xZ4QT/jfx1/zTT/UET+ISJvJnldYN5OVZVYVHgnVHWTqh4HDAcuFZGkIt/EfGAYMJZY2P0vMmy/XVWzMrQtiXcRKRCRdoWqqs+q6uKEsIJkHA7sAH4vIq+LyP0iUmG3kcmEe7Shif0vvgnA/hffbBfsqQQ9pBfurfXNbHk6NvBteXq9ZQfeD+GejZPtRHK6xDXyxrGMrztqbS1VtESyG0mmh0Q3stLnKuCLyosYdlasAsSws4amDZ1uqW9JKgKcFAduEW1sou6lWM3lupfWOO7AJ/YHNwW8lYRc6US5WYDZ+f+HpEdV2be2BoC611fTunevzy2KUVBWTN/TYivJ+p42olPovFXX3cpEj3kbP5M3OiXaISbcn3g8u/FhSXxcMNx3Q7Dfdc2GTgnr7P6tkrnvxeWFjJg0GIARkwb7EjrvFdHGJupXvQFA/ao30jrw0aYm9q+JXZv719T44sBnsxwsX9a/J7snOZHMt7SioMO68u98296YWlcXzVn8O3EcVV2gqtWqWt2/fzfOgDhoUOZt8p+dxv86/uqQYl9VP6uqxyZ5/Q3YHg9/N8Lga9OdKO64vwlMBD4CBpt+PDj+Gaq6XVXbVDUK/BY4McPvsEpEHhGRi0Xkv4yXlV/eknhX1TZgnYhYqj9nohA4AZivqscDdSQkBjDPlLXt7yzSU61zj5SV0GPCsQD0mHAskbKSlIIeMq9zLywvZuCZwwEYeOZwCstTr1k08Eu4Z4NTyenmzj+Y198ZwNz5B3c45iFVET49bkfODry5PwBUDYwkbWuqB0Y3s9LnKuAn3T6Rr66YxqTbJ6bdziz0zCIgkzjIBafc90hpCRXjY5mfK8aPJlKaZK27RQGf2BcAppzvbGLFdFhJyHXGIR8kFeXJBJjV/39IZzrcJxrqqTh+DAAFvQ9i049+Yt+Bt4nV62PkD6cyfvFsRv5watbnsjLRU1Re5GkCz2Q4OXFWVxe1JdwTx4bzTeOCOcP8y8s/4cRJBwGxhHXzv/ehYy781DvGM/vfn2PqHeNzPlaQiZSWUF59HADl1cclH9ONbUtK6DF6LAA9Ro8lUuJMrpN0dBgb9jmTFylb3Bbwye5JTiXzvfOuA9G6doWzOalcLvfoxOR0dicRQkIsshi4NP79pcDfEjcQkcEiUhb//mDgFGBdPNx+r4iMj2eZn27sb0wIxLmQmOBPRy+gHpgEnB9/TbHyC0gsYsDChiLPEQtne5mYCAdAVVM+pYjIIcBLqnpY/P1E4AZVPS/Z9iVDh+ig6+Z0+CxTkrpoQxORsgM3iK13P8r+F9+kx4Rjqbp2GmAvQV1rfXOXE+5m3EhIsqO2lU+POxCi9Po7A5Ke46ghW19V1WqrxxURBVi7rjJlm1c0dJ5Pmjd7PSuX7eakyX2YNXe41dNZxqv1bUZys0RXIFNCrFxwKoldtLEp7UPe+1/6ga2+cOyxRfqXv/ax1Q+corEufbKr5/ce2SkRXUt9C/dPPBD989UV02y57U44QTn/L2vtZ/gtrU2d+TsVa2+71lZfKKsaolXf+xate/ey6Uc/af/80Dt+ml4s+JhlPps8BpmSG57S692MfdMt3Ih4uebqPYbrtkdVM60VbGf0sUX65JMdXbYvzGzgxWV7mDC5N3PmHdE+iTt9zIEqdItWj7H8t3tl/xFWm5ORNZ84F6btRNK6xl1llrZLN6YX7ewYeRBtarIt3JNlm3/zHntjQ8kRg3TQT78OZHfNOpVvxO0Edsmu+1zHgollG9uvwSnnl3LvfPv3DyeeL+vqoowaccAINZ7/hg7eZqsvVFdX66pVqzJv2BURAYvaLl8REVv9IWHfvsCjwFBiudumqepuEakGrlLVr4rIWcTC3pVYIrlfGe5+fLuFQBmxRHXfVFUVkYeIhcwr8AFwpWltvaPYifX6kd2Dq+o2EdkkIiNUdR3wGcCyArWSXd4s3AGqrp1GtOGCTp9bPmcXFu5gLzmdVfpXFnLulFIeX9roeMm5TLO4E8s2dhJuqTIgO4UbWeiTYTy4J2ahd0u4g3NZ6NMJ96yOV+BO37WClX6UKLIM93TDUxvzM0w+C+HuNYW9elFx/BjqXl9NxfFjXHP5/CoPl0m4g7W+6TRuLVUxKkmMGlG7wc5+kYLOE0aJGeaNrxMm924X9X6Vmhx90BZHBbxX2BnTvXDcM7FlR2/b1+4buwc6IuDdzkCfrO860Z+NazAX5zxXDPfdmEQIYvb7wPO1r/ndgkCjqruI6dHEz1cBX41//xRwXIr9VxGroJb4+SV22iEiRxFbJz9AVY8VkeOIJbC7NdO+lsW7qj5rp1Emvgn8QUSKgfeAy6zslEtZOLNwd7osXD4LdzfJpuRcJo45pjCr2V/w56E2xD+STeL4zaTbJ9Ly47A0nNNETX/OyhmXEL14WiDEQnfA7SSRTt4/kt0Dsi0b96ke7znqvod0ffK1hFwQxHKukwjdngULMm8TEgR+C3wHuA9AVd8Qkf8FMop3y1eGiOwTkb0Jr00i8piIpLyrqWpNPJnAcar6OVV1Pi15Ctyq5+4lbgn3yG7nq244PdAWWIz68bqmMHhfV9nL8mF+OY3pEOdzIXpCKNzdx5JwdzHLfCacvnb9EgRejbOF9iICobXzjSJd2bhwYrf74FfyOgOvS8h1JRKfJ22PC92Z7pFtvitQrqovJ3xm6WnXjtr6H2IzBIOIZdf7NvC/wJ+A39k4TkZycd0N3BDuXrvubjrulT/+xNJ2TtXtzIbIR/5kUA4JnoAP+0JIiH94OUF6aGwdomUKwrEhJA2hgO8a2B0XujWvveZ3C0KssVNEhhEvVSciXyBWYi4jdsT7VFW9T1X3qere+ML9s1X1EcBycplMOCHc3aArCfei91rp+bdGit5PP8Fjt4a700K/4BPllkt2W9o2dN+7Nlb6gh99ICQ3ytIWaPGfoE1i+eG6e3ld3XrJbnrbfJ6IfKLcfMkut5oU0gUIBXx+k824EBKSB3ydWMj8SBH5CPgWcJWVHe2I93oRmSYikfhrGtAY/5kjaQ2lyBnxl+/h8k4K97q6KEQVqYu2v3oubgCg598aOnxO9MC/cUdta9K68HV10Q7fG9gV+lYZ8Ewz9bWtSdsY0r0I+0KwySbTfFenO0+4WcJ0b6qvbaXymeasDlMZjg15TbJM80EgFPA+4dC40G2pqsq8TYjvqOp7qvpZoD8wUlVPUdUPrexrR7x/GbiEWDH77fHvvxKvg/cNm212ja4QLu8UhqCec83HHHxfHcOO2c7wkdvp+4v9APT9xX6Gj9zOsGO2c/CCuvYpmNlXf9yh9Fvi8Y4fuZ1TT9zeLtbr6qJJhb4T3AKMOGEng46uped99Q5NE4VYIWiuY3fpC76XicuDTPMhXQSFnr+pY9DRtYw4YSe3ZHmYW4DhJ+zgkKO3U3FfXZcdG0KyJ9sxsbsI+EAlfHVoXOi2bAknjfMBEekrIvOAFcC/RGRuvIxdRiyL9/gMwfmq2k9V+8e/X6+qDar6fLaNDzpOCvemusx5CJxy3c2C+u9/b2LTlRVs/lMfmqs6/subqyJsfqQvu+f0hALpsJ/BuVNiD/Pmz7dtjXb4zNjG6VJxAHV9hdpH+7D32h6QpCxQSPch7AshtvExWV1XxRyBZbzPigJh73U92fFIH+r65nY91/UVdj3al/3X9uwWY4MTNd6dILHGe5BxogxqrgRZwDtNEMaFbslNN/ndghBr/AnYAXwe+EL8+0es7JhRZYnI9fGvvxSReYmvHBrtOEEOl184Zw3frX6WhXPWeHK+iopIJ0HdOL6ETy6v6LDdJ5dX0HjSgbrh555xwHE/d0opr78zgLnzD+5wPIBD4pMAxrHnzj+4fVunabm6B80nuVfbPCR/CPtC1yFc726PoJSduubqPYwaUcuoEbVcc/We9vfXXJ3936tpfDEtV/XIqV2t4dhgm8ZdZX43wXP8Xv/eXQjKuNAtuflmv1sQYo0qVb1FVd+Pv24FBljZ0YpFujb+dRXwapJXIAhyuHxTXSs1T8SeVGueqE3pwJtd90RnIxuSCeoeTzQSLYWdF5URLYEeTx5w03fUtrY76gA/vLlnBxfdON7r7wzguZcHdDp2Ksc9299jB9AAyN8asto/JHeijcFwLa30BSfC/hrrwszV2RCud+9MV1zvXlcXZemSA/eMpUsa298vXWJtyVSqbcri96ZdYK0USpx8u0+s+cQ9IRhtCMZ4bQc/1rv7LeC7uvtuHieMcSHb58DCJQ3UE7vOQ0K6GMtF5KKEXHJPWtkxo3hX1SXxrw+q6oPAY8BfTe+7JE6Gy5dUFDL2nEoAxp5TSUlFLMwslYg3ry3PNQGcWVAXbG0jUqdsWtKPj+/szaal/YjsVwq2xQRL/8rCdkf9kKoI/Ss7h8NVVETaj2klPD6XRHYbgU8BZS0Q2ZZeVAVqvVYX4Z1bF/Ph5T+hdt6f/G6Krb6QLfNmr+eKsa8yb/Z6y/t0uYewcL17SBoqKiJMOf9AH5lyfmn7+ynnZ14ylcqNK9jahtQpn+kpfAAH2WmTF2NDPrDlF4/y7lduY8svHvW7KV2WUMBbwzxOnHNuCd/59t6sXPiCrW0UN8N4iV3nISFdjK8RK7neDDQRC6O/UkT2icjedDtaXpwsItUisgZ4A3hTRFaLyLgcGu0YQQ6XN5hxz2h+vuo0ZtwzGkgdRp+45txKAjirM5rSpmxa3I/mkUUANI8sYtPifojpeee5lwfwwqv9ee5lS5EbGdtlTmSHvQSJALwFvPm7gzq0MSh05ZtvW0Mzu55dB0DdS2sC4cC72Rca69pYuSxWim7lst2+OfC+J6vziKCHzIek5t75vVm7rpK16yq5d37v9vf3zk/f75K5ce20xa7tf+3ILtPcW8Dbv+vdPja80OhstuVX9h/h6PGcJtrQxL5/vwXAvn+/5ZkDH7j17q3WHzHCBHadcdIEuXd+b845t4QnHm+yHZ3TTnxcWBMmoLTHqlV+tyDEAqraU1UjqlqoqkXx73vGX73S7WtHTP0OuEZVD1PVQ4nVp/t9Lg0PAq31nUtQuJVd3uy4pwqjr6iIMOnckpTH2FHb0a2342y3Di5EyzqGt2qZ0DqooMNnyRz3bKioiHSIOACyipvSUqEtoY1muovr7uW6u4KyYirGxyaaKsaPJlKauk96Saq+kGsfKK0o4KTJfQA4aXIfSitS97eQjoQh812bZNeWOQLLeJ8JsxuX6NK3DS5AS3PrR5nuE12JxGR1kbISep58DAA9Tz6GSFnm8ToI691dCZm3ET3gXm6QAAAgAElEQVQUCvjssLo85onHO04iWYnOMdM2uIDyvtld03sbWrLaLyTEKyTGV0TkR/H3Q0TkRCv72hHvbaq6wngTzzCfOX26y+Tiuq+68UmWnf1bVt1oaYmBY6QKozf41YI+nHVO7OZrzt5+6onb+fS4HZx6Yux3drNEmx1SnXfZ/qM7RRxkg9PZ650g2Q23pb5r3SwqZ13Eob/7MZWzLvK7Ke242RdmzR3OAzXjmDV3uOPHzou+EYbMBxo/H/JTTY7Zveekc+lzvbaDeJ9IxM317gOvm8aRD3+fgddNc+yYQYi4cpt8F/BeR4lZTUSXOFlnJTrHST7cXc+qD3Z7dr5AUV3tdwtCrHEvMAH4Uvz9fuDXVna0km3+BBE5AXhWRO4TkdNF5DQRuRf4V5YNdoRchHtrfTNbno6tbd3y9Pp2B95w3a2UdcuFTKL217/t0yEhnDmZ3LatUXbUtibNKO81yZz/ZfuPZtn+o9vfJ05O2GXHjtQ3p6C47stvWMH9Ex9l+Q0rMm+cBV5nuzUeaILiuBsk6wtO9gE7jrvVBy63+4aZMGQ+xC0Sr7Nss0mnuk+lG+etYOzf3ULmzVhx3K2yY8HDbJr1I3YseDjpzwMXMm/G5kRkvgr4bPK0ZCLd/TTt0pckmCfr0j2fpjtOtqZUUUGE7/11Dc2t/phaISEWOElVvw40Aqjqx4ClkilW1N4v4q8xwFHAjcBNwChgbBaNzQqn13AVlhcz8MyYwzbwzOEUlh/4e6Vaj+60oM8kas2DXapkcm6WaMtEovP/2PajOoh2J4hE4LDDipL+zI5oc3J2OvEm21LfwoanYulUNjy1MT9c1jwkEoH+/fMrLNZO38jHckRBCJmPNgXTHfTj/+m2C2eMuXYf4q1w2GFFRLKcf053n0iF146lU667E/XdM4XMRxubqF/1BgD1q95wxYF3K8t8+3jQxQW8m3laUl3P6Za+pCLbJJYGlZWFVA20PzAM6l3Ku7X7WfDcBtv7hoR4RIuIFAAKICL9sbi82Eq2+TPSvM40thORS7NtfSa23v0oG6b/lK13H8ii6kSSuuqbz2byk1+j+uaz2533VOvR3ajTnjgZkEn4pkom51e4oNn5Txb+7wTRaPIbiR3h7uTsdLKba1F5EcPOirVn2FlDKSq39xCZCb9c96ARjdLpJu9X5IXVhyy3+4ZjeBQy77TrXrvwIT68/gfULnzI2QMHlHT9zg0XLhkrGoZm9RCfibq6KNEs5wCM+4RV1/2eWe8xfcxq7pn1Xtrt8sl1d5JIaQnl1ccBUF59XOAisFLRunMXH373+9QuXBT7oAsLeLfytMybvT6tmDbc9DvvSptPyxJWJwFXvlwJYOvhu2dpEZNHH8K8p9fz/s66XJuaX9x4o98tCLHGPGIV3CpF5KfA88BtVnZ0UvXNdvBY7UQbmtj/4psA7H/xTVcceGPt+8af/jnpenSrddrtkO1kgFPJ5Jxg2f6jOfvOT+e8pt0udh13p2an091UJ90+ka+umMak2ydmffxk2HkoaGvonHzRLkEV7maMm3xQlkxkwq2+kYjX/zs7rnu02XnnLtrURN3rqwGoe321bw68E9ddrnhdLWFFw1Auvvs4R9exVlREKPVgDqmxro0Xl8WEyYvL9vhWWSIbnHDdrdJ/5lcYMu8W+s/8SqefBTVkPtrQAEBdzeqsHfgg8PzeIy31S6fztJjHkXRiOtvSb4lYnQSMn8f2Q+aN5x9DSUGEHzy2BtVulLL+ppv8bkGgEZE+IvKUiLwb/9opdFlEDhWR10SkRkTeEpGrTD/7qYhsEpH9CfuUiMgjIrJeRFaKyGHp2qGqfwCuB34GbAU+p6p/tvI7OCneUz7JiUiBiLwuIkvtHjRSVkJh39gMX2HfXkTKShwtDWde+24I88T16JkSzNkl3WSA02Hnqcg2zNFYz+7kmvZMmNtqV7A5NTttZTbcqqtqNazejnB/59bFvDR1Lu/cutjyPvnKlPNLeS1ymN/NsEWmvpGNcxME0WiFzY8tYt1d32PzY4scPW6kpISK48cAUHH8GCIlqd3BbMJ+rUyG+HHdJRuL/KqW8FrkMMcm0WprW2lszLxdKv61u7+l7UorCuhbFbse+1YVdfpbGaLJSdfdzUR1drGTZd4tx92tkPlIWex3qxibMB7kUQb6lvoWlt+wwnIUjZPXunkcSSWmnV4yk6nUpPl8dhnQq5TvnjuSf2/YxaOrNuXSzPxiYHDGm4ByA/BPVT0S+Gf8fSJbgQmqOhY4CbhBRIw/7BIgWVb4K4CPVXU4cA/w82Qnj08e9BGRPkAt8Edi9d63xz/LiJOqK9201mxgLWA7ziba0ETrrlit+tZde11b+77l6fUdhHmiIJ1xz2j2fr+JXv1zv5kZkwE1T9QmnQxYtv9oJvd4O+fzpGL21R/z+NJGzp1SammtvFcTCsmoGhihsrIwpwfEWXOH03hbm6vC3SrLb1jBhqc2MuysoWmdWLuOu1GTfdez62i7rpmCMks5LzoQdNe9amCEp5/p57twD0Jpn3duXcyuZ9fR97QRjPzh1Nz+dy46U9HmJvatrQFg39oa2k78IgVFzgmCyhmXEL14WlrhXjvvT9S9tIaK8aMdrZxg5bp7Y/dAjuuzxbFzpiPXcS4XzOPzxLKNWR3DWNu6dYt9MdC3qoje/a2NeY11bezaGptA3bW1hca6A3+ze2a9x4vL9jBhcm9Ouc0Z8R6kte5OEFTXHaCwX1+qvnFN2vHAClt29GZgf/uucq7Xu/F8YLBy2W7Pr+mO40jna9lwy5cuabS0ZKauLppxm3Q/N58vG7504lCWrN7CrUvXcupR/ak6yP8Sia6zdavfLQg6FwCnx79/kFjy9e+aN1BVsztSgsnsVtWXAEQ6edYXEMsJB/AX4FciIto57ONVYppZgKHAx/HvexO76A7P9Au47ryLyGDgPOD+bA4aKSuhx4RjAegx4VhHs6kaGGvf04V+L5yzhh+f+rxja94zZZtPdLedwmp5uWQOux+MG1fsiLMTBOFuNXmZ3Rn8grJi+p42AoC+p40IvnDfkd01PG5ccZcU7nb/351Eow8OvNWQ+UhxCT1HxfKa9j58rKPCvf0c6Rz3pibqXoqN2XUvrXE08ZYT1122pOqHfgj3RFY0DG1/2WXcuOz+hkcdX2F529KKAiZMjo13Eyb3bv+bJYbTN9f7XgnXcbpsbXcTKceDgK9/Nz8fGAw7a6gv13Smc2Zyyw2yrUiR7HzA69nsG4kId3zhOFqjyvf/2s3C50NSMUBVjRmObcCAZBvF666/AWwCfq6qmWbmBsW3RVVbgU+ATrOuqnq4qh4B/AM4X1X7qWpfYAqw3Mov4OQU6gspPv8fYjH9PbM9cNW104g2XOB4yLyZSUM7Jq7ZuyPmshsh7R3C3G9tdSRU3MoxDPHslBNvJJkznPeKiojvAj0dS5c0cuEt3rtJbog0I3mZ4bwnC6W267gbgmHkD6dm5bh77rZnKdzBv74QNAzRaDjvBWXFseqgcaKNTdbDXT1YDzr4wukUO+y4WyVSUkLF+NHtzrvTYcBWrjvDjWupb3E0YeHze4/klF7vOnY8N0gl4JO587mEx764bA9X/8z62DBn3hFc9qPmDm69IepfXLaHEZMGU1ye+z0+SK67E8I9yK67JWpLobJjH0s3XnrpwCc+H5zx4/EUlRfx/F58u85XNAztdK0aTnpFRSStq54YXn/nXZkd+AxkDMkRkZnATIChQw+MPYf2reA7Z4/gJ0vf5q+vfcTnxw3OpR3B54QT/G6BF/QTkVWm9wtUdYHxRkT+ARySZL8fmN+oqopI0hkdVd0EHBcPl/8/EfmLqjopQser6tdM53tcRO6wsqPlkVhEZgO/B/YRc9GPB25Q1eXxk34jyT5TgFpVfVVETk9x3PaLrbDfQSnP74bjnoqbzniePduaKCqN0NIYZew5lWnD3L0gmcC2K+iNY5x9J5x+U2wCYtn+DDt5jLk/ABSXRrqEcDeYdPtEWn6c/CHe7hp3c9g00OWEexD6gpkguO4GZtFo/j+6FSJuJpvycLkKd3NfKDjYXlnMyosvJTpzb1bC3crDu5XrzupyGbvkg4BPRlJRH4Hi0p00N2YOm+88NoitscEcHj9n3oHw+FNu+ywn/rDVEeEe0hk3XHfbY4NJwFsZL70U8KmeD4JynV9z9Z72cHmg/ftkDrzd8HoniIu3BQDV1dUdBNmMkw9j2Zqt3LzkLU45sh8DeuVfIkPLvPqq3y3wgp2qWp3qh6r62VQ/E5HtIlKlqltFpIrYuvOUqOoWEXkTmEgsHD4VHwFDgM0iUggcBOxKs/0WEfkh8HD8/ZcBS4OGnavpclXdC0wCDgYuAW7PsM+ngaki8gHwJ+BMEXnYvIGqLlDValWtLuhlPfTNLfbuaGLPtlhoZUv8IaLmiVouvnVU2jB3p2vAW8Ec2m7lZcaPCQgrmPsDQHNjlD07vAkLfn7vkZ6sZ068Mb+xe2Bua9yzCJsOunAHf/tCIkFY555IomiMNtoMEc+j8nAd7hM97N8n/Cx11dbQbGm5TLb43Tedyta+Z0ezJeEOycYGtTw2ZMo275RwD133jrgVLp/V2FBbamu89DKEPlV0jl/XuTHRluikW0la52RZuVwxwueb26J8+8+ru3b4/MyZmbfp3iwGjPLmlwJ/S9xARAaLSFn8+4OBU4B1No77BeDpJOvdzVwM9CdWLu6v8e8vtvIL2BHvht0yGXhIVd8iTYZ5AFX9nqoOVtXDgIuI/SKd644EiF79S+h9SOxBr6g09ucZ/dl+QGrB60YN+JAYxaURy4mIssUr0Z6IXdFuYGetbaKw37Kjd14I92R40Re8xInsxOb/ZaQ0FiIOuBIiDp1ddzdKwHmJlTXwuV4v5us11XKZXPHrwd7J2vK9+xfTpyq767u4VCyPDanWvAcpu3xrfWzcDpPU2SNiY14ssvcgW+Ol31nonSCXibbEsm6JJd7cLivnBEf078EPzjuaFe/u5KGXPvS7Oe7x29/63YKgcztwloi8C3w2/h4RqRYRIz/bKGCliKwGngXuUtU18e3uEJHNQLmIbBaRm+L7PAD0FZH1wLUkz2LfjqruVtXZqnq8qp6gqt9S1d1WfgGxOvskIr8nthj/cGAMUAD8S1XHWdz/dODbqjol1Talwwbp0J9flerHrq13Bziz3zsd3htr3n836w3eeCo2ZTz2nMpOzntTXSvfrX62/f3PV50WWFfbb7416p+vpgtzScRYh/JAzTjXwqX9euh14oZuXvOeDEczkmdDGtH+/uxvB64vpCJI4fJmUv0/La15z9J1N4v3zY8tYt/aGnqOGsvgC6cn3d6K6/7a/dfa6gslQ4fooG9/y+rmB+jfUajbWWKQTdhsIm0NzRw/aGfOx8mEV+G1jXVtXDH2QHimE9fmvNnrWblsN6pqeW2GMTYsWj3G1vnNWeaDJNxrbnqcbc+8S8+Tj2HgddNybk8+u+5v3mNvbCirGqKHX34tjZXWXdVor09sTXRmOxY4VXUi2+vbuLZOmtwnq7rwxtp38zp343tzOL05hL6uLsqoEQduAmvXVWYdPj908DZbfaG6ulpXrVrV6XNVZcbvX2Hl+7tY+s2JDK/skVV7Ao0IdOXIAkBEbPWHroadq+gKYrMIn1LVeqAYuMzqzqr6r3TC3W+e3jmyw3sjWZ0h3KFzTXZwvgZ8vmF1uUDi39dv3HDbrYTDZuu2JyOT424Ord+8yeMsww657X7jd0hyNuTiuEebUjvRZuGeWAIu3xx4u0sMnJj4Kigr9sSFc6rPZnLpUtWWz9bda6xrY+UyS6aDIwRRuLfWN7PtmZg42/fvt3IujZsvwr3N4fHDTl6OyN7UuZaS4bcDn831bb62Vi7bndU1aoTPm8W34bibQ+hra1s7/DzRofcbEeHOLxxHaVEB1z5aQ0tbbnXqQ0L8wPKVpKpRYDtwtIicChxDrCZd3mGEpGWipKKwPYQeUovzTGXfuipWlgs8vXNkTsK9T1WxY06rIdjdEGTLb1jB/RMfZfkNK5L+3EnRbgVzqK5bIdRJ2VHimnB3si9YwS3h7qbrbokUrnvtwkV8+N3vU7twUcZDmEvA9Rw1lkhx5/+5E2vdHcXUL71YYpAKrwR8Lv03MRw+1cP+rLnDeaBmXLuTl0sYvXkywC59q4qyGhuCJNwBCsuLOeSM2P+t58nH5JSoNwjC3Qob/76Itb/+Hhv/nnncsYOtxJoe5f/wS8CnmmjLhsTw+O98e2/791UDI1SfsLNDiLzVsnJeUtmrlJ9dOJo3Nn/CL5b/x+/mOM9HH/ndghCXsZNt/ufAF4G3AeNOrsBzjrUm6v4M2Kobn2TL0+sZeOZwqm8+u8PPnt45skP4fFNda3vyOoCLbx3V4WdmId8dHfdU5fOcdNl3b23uEN6YDW67p53qt5uyxfq13m3Ljt70unI6PS61UTYsFzxw2p3oC1YJsnB3g2hTE3U1qwGoq1lNtKmpQ73kZA/Cgy+cTvS8LyYV7m5iZ11rOipnXUR05oWWr49ss04nw2om6lzLyxn9OFmobaprKdGl+5/Wd3ll+ccpw23NjnsHd+82+9fqrLnD+fKyl23Xc961tcX22BA04W5w0De+Qs8rmrqEcM/kurc1N7H3P7EInr3/qaHtrC9S4OB4UlortkLoreLkWOAVs+YOz+qaNPPfM5tZuWx3e3h8YnnHrVtiz/CJpeEyOe7JQvHd5tzRVVx84lB+8+wGTh7Wl1OP6u/6OT3j1VdhYDCfNUJARH5JTD8nRVVnZTqGnSvkc8AIVZ2squfHX1Nt7J+Rpg+2sfXuR508ZAda65vZ8nTMEdjy9HpLDnyykPgwQV3n5QIvNBybs8vuNF5mjx92ViykzEhI5bXTbpCYkK6rCHcvCXqovBuue6SkhIqxYwCoGDsmo3Bv3y/Fg7bbrnvp9iwf7hL6qt3rw8m8EZnGh0zRPImkW7aTGHWUziE3u3TVkw7mleUfA5nDbZ1099wmqMLdSFDnZWlct7ASLl9QXEKvo2IRPL2OGuuocG9vh1UH3qb7no/h87lck+bJOSPDfEVFhHPOjf3PkiWxs8I1V+9pT2hn/t4LfjzlaI4a0INrH62hdl9j5h3yhamOSrMQ51kFvJrmlRE7U6vvAUWAq4sb97/4JtGGC5LevNZuG5BT0rrC8mIGnjm83XkvLO+8Zthw3xfOWdNe192chG7vjqaUjrNBoivfVRn6g/9m4JzmpH9HJ2mstz5b7JfwMuqzrm08lDe8W7bZjufJ6MAX0W6nL2SDm/0nqOHyBpUzpndy3LMhcOHyiewo6ZS8zg5OO/DQOZlVumieZNipI//MtsNYuexlILVDbnbpzImuErdLdLtzdffikwnHZ7OvlbHBSdEO7gj3XAmC624nQd3Q86YnddzLdzrnmFt24E014K3gZQ34ZHhZ/92YnDPGAiNR3ROPN3HOuSXcO7+3bdFdW9vaYb28QaJz7xZlxQX8+ksncP6vnmfOIzU8dPlJRCI2lluEhGSBqj6Y6zHsXBn1QI2I3Cci84xXrg3wmuqbz2byk1/rFDJvZvnGIzoIdIOFc9bw41Ofb18Hn2wNfFd35Q133XDYbQp310Ziv8q9wYH17GsbDwU6l2dzC8Nl9yWLfBdz2yEmatwiqOHyiSQKd1vrRj0ma/fdAZy+5hL7R7JonlR0EvoZEmcmHntV28ikY6chhBPXtRukcu/tCnfDzXc7YV0o3K3hR1m4ROFestV5FzRdMs4OdAMHPlvMY4E5ZP6Jx5s6CfFUpeMMrrl6D9Un7KRqYGwcz9a5z5UjB/Tk5qnH8ML6Xcz9pzcTISEhACLSX0TuEpFlIvK08bKyr51RenH85So9JhzreshYJsFpdugNgW5e471nWxM/ee4UevXv2M5068DzGSdC4Vfd+CRk6aikwu/w5mQ338TybG7QXVx2L/nxNdvY8NTLlpxLuzj1kOam656MbIS7Xde9xzZr1SpSUbo9QuOALHKl5Oi+g/PrXhNdeCOaJ9Oad0OMG867lTXyyY6dOJ6aHb1kjnuu69uhY/mqmbcdbnt/q4TC3RperHPPxJa/PsjuD1fT59AxObfFwChrWTF2DJUzkpe17EDowKfEuM5fixzGlPP3tpeIsyO2zcJ/65Yoq17rR2VlrO954bgnMq16CC+//zFz//kuY4YcxJkjB3h6fse57z6/WxBijT8AjwDnAVcBlwKWRlDLI7WqPigixcBR8Y/WqapDqYNilBx2CFXXpq9rmmvovEFrffpw7+qbz6b1u2fEt3mnfY23EUqfKNyBTtvkq3B3et26OdeAXfpUFdO7/4H/UzLBnmtSJzukE2KJ5dnarktfh90Ovgh2CJRoT+wLTvD83iPjzmUsjNhKiLIdnBbulmq4J+JRJmWvhXvOBFDAQ0cRb7UfWhX6ZjJtm2ysNQRCYghtNsJ9z47mDhMAM287vP2YdulbVdRpbGisa2ONOj/BGwr31OQq3Eu2NrL7w1jizPjXnFWcuaxlsmScKckzAe8HF999HHfe9UG72J5yfqklMW+UkDO2NYS78bMUuKboRYSfXngsa7fu5Vt/qmHJN0/h0L4Vbp3OfWbO9LsFIdboq6oPiMhsVX0WeFZEXrGyo51s86cDDwIfAAIMEZFLVdW5bPMRb2bb0mWcN2OIe2Md/Ix7Rmd0061sEzTcTjJnjmSww9CRZfxsyei0DrudtZ7ZYlWAGeXZDOfdCeEeivYYRl9wEqNfZeNcWsFp4V4770/UvbSGivGjqZx1kbWdsxTuQQ6XTyRr9x0CK+Ah9Xr4VHgxgWkei0+45UhGfy82YfB8vFqUVffPcNz7VBWze2tz+wRANtnmDx1Zyp1Lj+7w2T2z3uPFZXsYMWkXU+8Yb+dwKQmiaIeuI9zLdyoUldDn0DHtzvvuD1fnXILIKGu5b20NPUeNpfyTUusZ6PNIwHvpvpt5LXIYE4kt27l3fm/LzrmdbeNr6R2N3EyktKiA+y4Zx5RfPs+VD73KY9d8mrLi4CbdTIsIqPNVFkIcxzDAt4rIecAWwFK9VDsj9i+ASaq6DkBEjgL+CIyzcQxHyMV975Rxvt1dT48hcM2l5FIRdOHuR0b46pvPZvHT6209lDVIWVrhbjepkx2yFV4jfzg1Z8c9FOydKSh0Tkwm61PZOJfpcMNxr3splkej7qU1tkqc2SUfwuUTCYKABwIh4r0k8XqxspSppb6lPWHe7q3NXPrkhZT3K2+fAICXbf0jCwo7Pvy/UDuUF5e9BsC65ZtpvqmV4vLc7slBFO5OiHYIkHCPM/zU6bS1NFFQVMLLD11n6ziRFMNKYllLWyXkPBLwTuCXgF/REMuhMbFso62QdyvbJpajc5MhfcqZe9FYLlv4Ct/+82p+efHxYQK7EDe5VUQOAq4Dfgn0AuZY2dGO1V1kCHcAVf0PsezzvrB2W3ZrUgwXGEiZcd5MYjm5xIRtQcbcVr/avXbbgPYXYOuhTKPpb652kjpZwUg8l6vwyka4+558zkPhnk2isWjO/kuMdOIiqMIdYiXNKsbHIg8qxo+2Jty7Wbh8TgnsHOr/bl6/fpWfhPRl6OySOG6X9yvP6XhR033ilf1HUFxeyIhJgwEYMWlwKNzTEDThblBQlP31mGo8SixraWuS0oOxNB8T2CWyomFoxkR1djFC7L3i9BGVfO/ckfx9zVb+J0xgF+IiqrpUVT9R1TdV9QxVHaeqlnLL2Rm5V4nI/cDD8fdfJlarLu/ouJ49NZnC6xOFsBVX3g2CNpGQ7cRKIjvXfczyG1akDYfP1TH1Mwu4bw47+OKy5yKuPny7nnmz13fKeG0Vrx5o3OxPlbMusu64d4Nw+WT47cCDuy48dOxjXrjxbixNcjLS5YO3G/jRNbUdwuOn3jE+Z8fdSdEOoXBPhpPl4MyU1UJDZebt3HLgu+P6dziwHGbK+aXcO9+555t75/dm6ZJttiI3c+FrE49gfe1+5v3zXYb1r+CCsYO8OrUzTJnidwtC0iAi16vqHSLyS6DTAKSqszIdw87ofTXwdcA46ArgXhv7O04u4fNWHHe74fWZRLRdcR80UZ4OpwR7IlbC4e08APpdsisU7NmTTVZrL10IJ/tWqn4SNOEeFNfdTBAEPHgTPuu2kHdzaZKTa/SThcdnK9yDKtohOOvbIbjC3cAVAW+D7rb+3VyBYumSRi68ZRBn9fvIyVM4a+mnQUS49XOj+WBXPd/5yxsMPriccYce7NXpc2fJEr9bEJKetfGvWRvgdrLNNwF3x1+BwRCNTmSgN2NOsmYlvN4K+STGreCWYDfjVDi8n3S3Nexu1d+2k9Xa69BBL4S7Jbq5cDfIWcCDoy48uOfEGyT2QSfEvFvJHJ3GifB4CK5w70puO7gv3A0cF/BhAruUJKtAYV4Ln28UF0b4zVfG8V/3vsAVD77CX66awPDKnn43yxrnnx8K+ACjqsY/p15V/2z+mYj8t5VjZBzJReRRVZ0mImtIbu8fZ+VEbuNUCTkzVsPruwteiHUz/UYcnFWYZrcV69DlBLvBoUeXWwqZz2fRDqFwd5KcBDw46sKD++H0iTgl5p1O5ug0lSN755xRPqiiHULh7hWhgM+dWXOHJ42Oy1cR36eimEWXn8R/zf830x94mb9e82kOOci79fdZs3Sp3y0Iscb3gD9b+KwTVkbz2fGvgV9E4YaA7+7C3WvBbkYsZvn0W6xDKNjdJl0VSb8S9ARKuHuIXeHuJ44IeMhrEW+QrL8GqQxdtli9TyQjFO3WyVfhbtV9t0WYgT4l6aLjDBEP+SPkh/YtZ+Fln+KiBS9x6e9e5tErJ3BQgMfDrs7Hdc0s/PcHfjcjJ0TkXGAyMEhE5pl+1Auw5HRkHNVVdWv8251Ag6pG42XiRgKPZ2jgEGARMICYa79AVedaaVi2uBVG38pDfd4AACAASURBVF3wU6xbJRTr/pV081KwZ8LPrLqBCZM3CHCCOj9cdzNGnw2qiAfvhbxBun6cz4mzMuG0aIeuK9zzVbSb8TuBHWQn4J1KYOdXCbl05JOQP3bQQSy4ZByX/v5lZix8mUWXn0jP0lDAe8nWTxr47XPv88eXN9LQ0pbTsUSkD/AIcBjwATBNVT9O2OZQ4DFiVdmKgF+q6m/iP/spMB04WFV7mPaZAdwJGMkefqWq9ydpwhZi692nAq+aPt+HxVJxdkb254CJInIwsBx4BfgisazzqWgFrlPV10SkJ/CqiDylqm/bOG9WhCLeGl6I9daPKnLav9uLdegW7roV/BTsEFC3PQyXt0TOLjy4IuLBPzc+HVb7ej6J/FC026MrCHeDIAj4bOjKAt7ALOQNgiboTx7ej1996QS+/ofXuOz3r/Dg5SdSUeLMdeY4Goxrzgne27Gf3zy7gcde/4iowgVjBnLV6cMY8fOcDnsD8E9VvV1Eboi//27CNluBCaraJCI9gDdFZLGqbgGWAL8Ckl1Qj6jqN9KdXFVXi8ibwNmq+mA2v4CdnieqWi8iVwD3xtPc12Ro4FZifwBUdZ+IrAUGAa6LdwOzOO3uQt5LVz1XwQ5Q31rkm3DvrmIdgifYAfa3lYbCPRndULhHcjisIy48uC7iIVhCPh1BmFzNRNBFO4TC3Qv8FvB+l5ALsoBPpLOg3+ZLO8ycfcwhzLv4eL75x9e5fOErLLzsRMqKrVe/8YwFC2DmTL9bkRNvbfmEe/+1gWVrtlJcEOHiE4cy89QjGHxwuROHvwA4Pf79g8C/SBDvqtpseltCzIE3fvYSxKoSZIuqtonIEBEpTjiXJWyJdxGZQMxpvyL+meVeKyKHAccDKxM+nwnMBCjsd1DaY0QbmoiUZS9qupOQ9zr83QmxDh37Q0llr4zbtzU0U1CWW14C34U6hGI9Cea+0GOAIwN2VrghTnLuc1mKdshP4W7uC8U9Dqb4oyYKikqyXsvqiAsProl46NxH8kXMe4G5P/SqSj02OCHaW+ubO+S+CUV7ZpwQ7eXbWyxtlzg2ZKK7C3gzjXX2Sq+GwOTRVbS0RZnzSA2X/v5lHri0Ongh9FdembfifdUHu/n1M+t5Zt0OepQUctVpw7j804fTv6ejz8gDTEvCtxFb2t2J+NLvvwPDge/EXfdMfF5ETgX+A8xR1U1ptn0feEFEFgN1xoeqmrGqm53RfjaxLHiPqepbInIE8IyVHeMhB/8P+Jaq7jX/TFUXAAsASoYOSTlSbr37Ufa/+CY9JhxL1bXTbDQ7OYniNl/FvJ9r1J0S7GbM/aHHUYekvXO+c+tidj27jr6njWDkD6daPofvYt1HoQ7+iXW7AtDcF0REl9+wIqvqA9nilqMYCnf7mPtCYUm5rn7we/Q+fCxHfGZ6TgIeHHDhwVURbxCK+QOY+8Mhx/TpdJ9wymmvuelxtj3zLoeccSQHfeMrjhzTwCnRDt1XuEPHvtCz92BLJw9rwL/LvNnr28u6Wankkg+YJ3KGDu0ciu8UF4wdhIhw7SM1fPn+lSy87ET6VHTv5Na5oKo8v34nv3p6PSvf302fimK+c/YIvjL+UA4qSzkx0k9EzHXSF8THAgBE5B/AIUn2+0HCuVVEkl7kceF9nIgMBP5PRP6iqunE4hLgj/FQ+yuJufpnptl+Q/wVAWzVIbRT5/05YuvejffvAbMy7SciRcSE+x9U9a+ZtjcEYeGg9kkIog1N7H/xTQD2v/gm0YYLcnLgk5FMBNsV9Ikz9E4ShERyboj1bGlraGbXs+sA2PXsOtquS+7A+y7UIRBiPdrcRKTY23Y4nZV8w1MbHS9Z1VLf+XiBFe3Q5YR72aZ99k4AtDU3ALDn/RraWr5IWW2sXwdKxIOrQh6S96cgC3onoqQyYUe0Z7pft9Y3s+2ZWIjxtmfepecVuUX+GYSiPcNxbAj3ZPTY1sr+QzL/XfK1BrwTPLPtMFYuexmAlct2Jy3vlit+uPrmiZzq6mpX12xMHTOQiuICrvnDa3zxvhd56IqT8qOMXICIRpV/vlPLr55Zz+pNexjQq4QfTTmai08cQnlxxmt4p6pWp/qhqn421c9EZLuIVKnqVhGpAtI+6ajqlvga9YnAX9Jst8v09n7gjgzHvTndz9NheeSPZ5j/NrHsfO37qWrKWQWJLQh4AFhrJQzAjFnER8pK6DHh2Hbn3WnhngorgtkQ+KtufJItT69n4JnDqb757KTbmh8WgiDGrRAkwW6moKyYvqeNaHfeC8qKu71QjzY1Ub6n84Ph5scWsW9tDT1HjWXwhdNdO7/bJcSGnTXUUeG+/IYVbHhqI8POGsqk2ye6unY3Xd+MNjYRKbXQbwIu3G0fPwvhDlBQXEZbcwO9Dx9LQdGBv1uuJaEcFfHgqZA3SNXPvBYJiUI92ygpKzS0Fdl22s2O+tibzk26zab6KnqefAz7/v0WPU8+Ju1zh5UlfV1VtIP3bnsmurKAd8J9LyovYthZQ9nw1EZOmtyng8h2QnR3RVc/GZ8ZNYCFl53IVx98hQvvfYHfzfgUo6oyL/d0ncWL/W5BWtqiyrI1W/n1M+t5Z9s+hvQp47YLR/P5cYMoKfRkwmcxcClwe/zr3xI3EJHBwC5VbYgnaj8FuCfdQY0JgfjbqcDaDNv3B64HjgHaH/DS6WoDO3eAPwO/ITabYDVP/6eBS4A1puR231fVZVZPaojHqmunueK458rabQOINjSx5en1AGx5ej1vzfhip3Y6HfbvFqnEerSpiUhJ9n/78o+cLUm1ZUdvel05nR6XxoTPFoceQtKRVGQFwFWH1AI92tzEvrWxS2/f2hqi533RMQfey3rf/UYcnDZkPpmDno6W+hY2PBXLZrvhqY28/s1+FDj3bN1Opgml2nl/ou6lNVSMH03lrIvSbBh84W7Hdc9WuAOU9OrLked9vYNwbz9uvN2BEvHgi5A3k64fOi3sE4V6uigpN9x4u4566/WfSbmmfeB104hek16Yb/nFo+0Cf+B1ne/tQRTtEBy33UnRbsZpAW+ZPBHwk26faIpki10PTojuxro2Vi7bDWTv6ufTWvwJw/ryyJUTuOLBV/jC/H/zqy+dwBkjnexQWTBunL/nT0FLW5T/e/0j5v9rA+/trGNY/wrunjaGqWMGUljg6XLO24FH4wnYPwSmAYhINXCVqn4VGAX8Ih5SL8Bdqromvt0dwJeAchHZDNyvqjcBs0RkKrFKa7uBGRna8QdiJeumAFcRm0iwNDLbuRO0qup8G9ujqs8T+6VzJiYqK4iYwumDQqbIAC/C/rPBqqteu3ARdTWrqRg7hsoZ1pxbJ8V6ugdPS46lA7SLrOPHUDnjEk/OmUiqterpBHqkuISeo8a2C/tchLuXYj0RiaTuT4kOuhWKyos6RW44TSbhHm1sou6lNQDUvbSG6MwLk/fnLibcnSCZcDfjpIgHF4U8+CLmzdiJWMokMlIJ9WTXmhtuvBVHvbC8mEPOOLJ9u8Ly4rRJ6DI57vv+/RYA+/79Vgeh35VFOwRbuBtYFfBW6Iol5IwJ7+f3Hkl1wTs5i26A0ooCTprcp30SwO4x8tG1P3bQQfzt66dwxYOvcMWDr/DD847msk8fllM28pwYNChQ5eIaW9r4y6ub+c2zG9j8cQOjqnrx6y+dwLnHHkIkzbOdW8TD2z+T5PNVwFfj3z8FHJdi/+uJOeaJn3+PWG44q/RV1QdEZLaqPgs8KyKvWNnRzqi2RESuIVa0vv1pQ1V32ziGJdK5vGbBWRggIV917TRaPz6XwoM75xzwK+w/kWxC4KNNTdTVrAagrmZ12v+N0+56S2uBf6HwpgfsaJNJZL2+mujF0yxHIaT6e2WKZLCTVC6TQB984XTbjrufQt0OiQ56pjXx5tD4kT+cmjJXQi5Y7bOR0hIqxo9ud947CfccRDt0Fu5W8h5Y+b+3tTR1EM9erHPPFidEPLjkxhukEPOWl1N4iJW+be7T2/dXwn46RUlFG5s6iPzNl5bl/LtmctTNjL3pXFqv/wyb6qt4f2f646YLiY+UlXQKrQ9Fe2aKP9pPYaE3fduKgPc7A/3mTWUMHtJg7bgmnMxAv6ptJCdNfj9r0W1m1tzhWTvuaSYQglkWJ84hB5Xy6JUT+NYjNfxk6du8tvFjfv7544JbC94D6ptb+d+VG1nw3HvU7mti7JDe3Dz1GM4cWenfxEawMGYvt4rIecAWoI+VHe30qkvjX79j+kyBI2wcIyN2XN5EMeqnmM8UFu912L9Ta9UjJSVUjB3T/j8xC06nxbovWAh7j5SUUHH8GOpeX03F8WMsC/fahQ+172N26xM/dyL7eyaBnk605YtQT4Z57V66NfGp1rP7JdwNKmddlNxxd9htt5L3wEo/eO+fi9jzfk17pvcgC/cO53VYxINLQh5gR0nHMeI7wV1mlYxUfdr8PlJaQkGfg2jb/QkFfQ5yZJIimaOeDDul3jKFxEMstL7+ogiR0hIadyXdxDZdVbQDvL/8QXZsf4P+A47jmDFfcuSYmQiygDei+naOH83YW86xdlwTTgr4E245l5m3veNIyLqTrv282eshVmo60FSUFHLfV8bxm+c2cNeT61i7dS+/+co4jhxgK5F43vNJQwuL/v0Bv3vhfT6ub2HCEX2554tjOXlY31C0d+RWETkIuA74JdALmGNlRzvZ5g/Prm02iKpllzcZfol5q2Hxbgh3LxLKVc6Y3v6/yGvBnsP69MoZl9h23Otej/dlk1tfvKmlw+fFn7kIHFqDbtVZ90usuxVa3XHt3gHcTECXSC4RIm4Ldyt5D6w67nvejx1nz/s1lG3+PNhwz/wS7h3a4JCIB/eEfKexY3OKccfncPt0ZBLj0cYm2nZ/AkDb7k8cizIwHPVE4Z5NbfZ0IfEGhssecSjJdFcW7eXbW2htbWLH9jcA2LH9DVpbP9/1Hfg0JC6d2rzpwkA48KfE18D7QaJrb3bj84FIRLjm9OGMHdybb/7xdab88nluOHckl044zLsQ8a99zZvzJFC7r5HfPf8BD7/0IfubWjlzZCVfP2MY4w61ZCZ3G0SklNga9+HAIOABVT3DzjFs3SlE5FjgaDpmxVtk5xhpiUhKlzcbkglbNwS902HxiWF6fmZ8PyDW86gEhktJ5NL1x8SJpkhJx1D29izwDq5Bz4TfjrqX66CLyos8FesGji7ryDFMvnhzc9KJoEzLKqz2k4KiEnofPpY979fQv+o4CnwS7pEWbe9b2a5nNf/OTgt5yE3MW470STXOZSnqvQzTz7hkxAYa7SiiUiWfs93GJCHx4OxadoOuLtoNCgtL6D/guHbn3SvhbgcvM9Anuw627CjplFvCSmJHJwX883uPBOCUXv6IeLNrb3bj84mTh/fj8dkT+e7/e4Obl7zNP9Zu584vjGFgbxcy4yayYEHmbRzkw111LHjuPf786mZa26KcO7qKa04fxjEDD/K0HXnEg8RC5lcA5xLT1bPtHEDUYlIDEbkROD1+kmXxEz6vql+wc8J0lAwdooOum5NzZvNcyEXcWykXk0iiMM8mOZyTOO2s9/jowEPsyv/99qvp6jImUnLEIB3006+n3sDnTO8GO3/zcMqQ5FTrjJ2uu55vQv25pdfb6guVR/fVLzzcOQGVH4IdHBbtkLNw33nfQxnD4pP1uWz6TdnmOkeF+5Orb7HVF3r2HqwnTOx4n3MqKZWjWadNZCPmXbsPJhH3lqseOEyyCYP3v/QDW/1BRNScoC4XwZ60jfH7utOi3UnBDsEW7Ym0tjZZEu7/Wn5DzmNDIlbHCqtjgWUHPk34fLLrwBDwdhM7OiXgDfwS8Il8+ciXX1fVE6xuX11dratWrXKzSZZQVf70yiZuWfo2Asw56yguPfkwitzMrj5uHLz6qnvHj1OzaQ8LntvA429uoygS4fPjBnPlqUdwWD/3DUcRsTU2BAkRWaOqo+PfFwIv2+nbYM95/wIwBnhdVS8TkQHAw3ZOlolIc/yrT8IdcnW5K8gleNJOcjgncCsE3izYHSEgIh06O2yZQpKzWYOeiXwT6k7il1g3CJpoL60Vy+UAzZ/llFE+gKHyuTrxBk6G1ZvJxpl3bexPGE87JOR8aQ3R/7qo47ldDM93yunf9sy7bLjivx1fmhYT7GVQ79wxg+iygzei3cCKcC/Zstf2uSPNma+rIJaQ+//tnXmcVdWV77+rRqCgKJnRACIoAjKoiBNGDJIYNYkxJkSTZzDddoy+DO0z75lJMa2JQ3enY6fVGFvROMSo8emLidE2YtQ2CsgoiIggKqPIIFON6/2x9y0Pt+506p5zh6r1/Xzup+7d9961d5279j77t9ceUtWDDVsbGNx7S9pjFtMRZQQeih+FDxDTJiPxIiKcP3U400YP4KrHlnPtEyt5eOG7/ORzRzF1ZEzTyV99NR67QEtrG0+v2MydL65l/rrt9OlRxSWnjuKikw5lUH0ZzdAtLu2NpKq2dGYfgDB3kX2q2iYiLSJSD2wBhoXOMQvJgnLvIaVz3EHcZNocLgrKRqwnaKkomnDPdRO5KI9iS6Y7i/Rk9rYUZ1p8glIT7fDR+vawPlioo+CKscY9WM58hHzyNYpbzEOMG+BlIes0/RIaPE1HcFp7vpT6tHgoX9GeC50R7UF6vvMh+4Zl3iAsSgEf5xFy6Y5ZzEbUAh5KSsSXJcP69eLO2cfx1IrNXPP4a3zpVy8x48hBXPGpMYwdWl/s4mXlgz1NPLTgHe556W3e27GPjx3Ukx+dNZYvTx1O7268o34nmSQiiYZOgJ7+tQCqqlkdIswVXyAiDcCvgYXAbuClkAUOTVBwdgchH9wcrrPEvalcHmI91qM+OnPdCrHTezaKLdKhtIR6qRDbMYURHwEHuftgPsK9taUxp+nypbAxHUQXjYfo18inopiCPuyGnPkQ9Yyy2pFDGHLp5/KyEYdgBxPtYchXtAeJUsDnQlwCfsPWhk4faRqHgIf4Rfz+PZ07X74cEBE+NX4Ipxw+gLn/vY5b563hzJuf5zMTD+Ybpx4W3RrxoUMjMaOqLHx7O/e/vJ4/LNtIU0sbU0f248dnj2PmuMFUFuGM9q6Aqubt4GF2m7/UP71NRJ4E6lV1ab4FCEMqUdoVBX2Yjk2hdn/PN7q++oXfQIxHfaQ7lg2iEejZyEW4m0gvHWGXiVIV7ZBauCeIU7ivXHgvWzcuZeDQiYw99qvp8wj7+67fGL5QIYkqGp8g7qh8kHRtVxyivhDCPVM73Vmat+xg9Vd/mvE4t1SYYM/TVgmK9rCU4g70yWzY2tBhA7tciUvAQzwi/ubvvNl+TNy3fzE6MrulRq+aKi6dPpoLpg7ntufe4jcvrePxJRuYNnoAf3fKSD5++MD8hPGG/H7zDTv28eii93h44busfX8PvWur+PJxw/jK8SMYM6R7HXtXqoTdbf5cYBrufPcXgIKK91R0dUFfjKPZop4G3/PNHXywfkmkNoMkH61UM+PLse7ing0T6eUh0oPEJtghEtEOmYV7Jjrrj8GI+9aN/ninjUs5Ik0EvhSFezJRC3korJhPkMuAZLGm4acj3fGZedvd46KY6Y5zC1Iugh1MtOdLLtF3KJKADzl9vlQFPEQn4oNHwr38xw8OOC6uq9LQq4YrP30k35w+ivtfXs9dL67lorvmM6S+B+cecwhfOPZjjBrYO7zhOXPcIwTv7djHn5Zt5I/LNvLqeudrx4/sx6XTR3HmhKHU2dT4kiLnX0NEbsGdSfeAT/qGiJyuqhm2Ay8O2QRvZ8R9HJvHlcqZ6VGL9T5rk84praxlcP+j2Lxted62U3dae6Zc8xv1ju4dcjWRXjiRnuOpGGHpyqId8hfuAJVVtQwcOrE98l5s4V7R1NaeXy6d83TEIeShOGI+FTXvNOfc/hVC6Od8BF5Yu3U9aNuzP+269+4q2KH0psZDZtHe0tpEVWW46eGZMAHviFvAw0ciHjon5INHwh1/Zr8DhPv+Pa2RlLFU6duzmm9OH8XfTRvJf63czEML3uG259Zwy7w1HDawjtPHDua0MYM4engDPapzGNC45pqs4n3X/mYWrd/BC6u3Mm/VVlZv2Q3AuKH1fO9TYzh74lBG9C/eMdVGZsLcfT4BjFV/tpyI3A28FkupYiasaH7n8XvYtWox9WMmM+yz7him1qZGKnPsGIX5bNzEtblcB8EeoKW1kQlHzGLzS8sXhbFZ0ezEekKEtzU1pjzHGjqu+X330XuyHp2VC6Ug0KF8RXpUnbE9b27h9Wsf5/D/dUbotX/JxCrYoVOiPdXgYD6iHaLdmG7ssV/NO+Le7gt5RtyDx5sG845KyEPuYr61uZHK6vDLFVqbG2k6JL57Qtj2rxBLiwCGf/prtM3wg6qbo7FZPaQfw6+ZnfEc9qjOsC+UYM+nz1CuUfYl6x9l066VDKkfy/hDzopMxOcq4HOy1Y0EfPPeZqp7VXfq80EhD7mL+W//YnSHiHtiKj1wWM6FKVNqqio4c8JQzpwwlM279vOnZRt55vUt3PXiWm7/61tUVwrjDu7L0cMaGD2oN4cNqGPEgDr619WkFPWqyq59Lby/p5F17+9hzdbdrN68myXv7mD1lt2oQk1lBVNH9mPWccOYMXYwIwtwzJuRP2HuRG8Cw4G3/ethPi0yKqMb3I2M1qZGdq1yxzDtWrWY1qZZbHjywQ5iPh2phH+hiG0XeDKL9SDL3niQzduWM7j/UdCJoz4SndCqPg20fLgjY2c0GHHP5eisBCbQPyLKSPqSdY+waecKhvQdx6RDv5C3vW3PrQp13m2C2MV6gk5G2rfMvaf9hIlBs51vFzvanop8hHu7L1SPZFLvGZ0qX4IP929iybpHOvhUVEIechPzbz1zDzvWLqZh5GQOm5F7257te/lG6sO2f4UmjrI07W1Ie5zb1tvvZe+CpfSaMpGB/5B+v4Z0FDrCvv6Je9j1xmLqj5jM8LNy86soBTsUfmp8S2sTm3atBGDTrpXtIj4qCr0DfShKUMA/deXzrHl6PaNmDueT15+S9+eTxXyCVKI+OeKemEoPHJS1IF2IwfU9mH3ySGafPJIP9zfzt7c+4NX121n49nYenP8O+5oPnI3Qo7qC+h7VVIjwN+DYf3qanfuaaWk7sG3oX1fDUYf05awJB3PMiAaOHXEQvWpsSny5EeYX6wOsFJFXcGvep+J2oH8cQFVz701noOe6fR0iGbsPKUxUIBWVNbXUj5ncLsCBDmI+3Qh5KuEfRwQ+TpEOuQv1ZFpaG9unyvu/oX5IVW3vhLZ86G5WuXRGUx2dFVbQ5BJR6yxdTaSnoqW1iU07VwCwaecKxrd+JrJIyrbnVtF06W5q+qVfC1YwwQ55TY9va2xkz2K/DnjxEmrebcpL3MQl3DvkE8J/DvCF5rWM12aqJPeITiqy+VSUQh46Xp+d/VvZsda1TTvWLqa1eVZO7UVrc2PW72X6DXMRDXEeXxkVUS5p0pb0A11t+xvZu8Dt17B3wVLaLswtAl+sKfGtTY3sesP3Gd5YTOvMzH2GYkbZW1oa057XHnY9e1VlDUPqx7YLeCDxPLLOXyoBn3yCRjnsQA/5C3ggrYhv3tvMmqfXA7Dm6fU0X5U5Ah/280HSifqgbXe4VfemT49qZo4bzMxxgwFoa1M27drP2vf38Pa2vWzf28TOfc3s3Ovq8L/f+ACfGj2Ehp7V9KuroX/vGob3q2PUwDoaekW3LMUoHmFaqatiK4Vn/+5tLHjoh/QbPonDp320E20qcVpIQT/ssxceILyDYj7TjTVZ+Ocj3OMW6EE6K9aTqaqsZUjtKDY1rkn8DfVPiEh7JzQYeU/X6Qt2eg8/+UJap/qOcUhB09mIWpDuINAzUVVZw5C+49qjrVXvbcvLXt3oQfQ45CC2PbeKmoF9mD/r1gMi8AUV6wkiWNNeUVtL3eRJ7Fm8JC+hVSjRDuH9qqqyhiHVI9nUvNb5Qp7CHWBI33E5DwZFLeQB+m6rPHAfgBwH+iqra2kYObm9fQk7QJjtd06I+3yPr4yTqJY05UJFj1p6TZnYHnlPJ9zjEOsQfg17ZU0t9UdMbo+8p+ozlMK0+NeW3M/WzUsZOHgi4yddAOS/Ad2k4Z9nfOtZvPbeEy7y7tqMSDs+QQGf7gSNou1AX0ABD+mj8NW9qhk1c3h7JD2bEA/7+TAEbQPbIzNc5lRUCAc39OTghp6cnGpT/oXNcOyEgpfLKByiOW4EJSLjVHVFUtp0VZ0XWWFE2gsz5YvX5RX5jFvcR7nmvZDCPJmohHqQqjXvHfC6pa2Zqopqntxy20JVnZKrnZ5Dh+nIr1/eHqWpeS++aHiC1uZGltz9/fbXk772s7R5loJAhxLY2T3DGuaWNFHWP2+/I5Qv9D5iiE6+5UKaPtjN/Fm3tqePuPOqSNay5kxEm9AlSEyPzycSWcrCPegbUflCfc+hetKYi8OVIw35ivnkyF2QTAIgzpk9YSnkhnptTY2s+ueP2tcxV/ysg9+v/Onlofyh9tCP6dAffidzvinWvJeKYE9Fcp+hlKbFt7Q08sJfrm5/PWPsFdHMqnr3o00QEm3Fn3f8Zyhf6NvrYD3xiL/P+rndQ2t48ckft78++Yx/6lCPc4nA51p3Qh0hF0LAA3kJeMgcge/smveoad7bzB2n/C6UL0yZMkUXLFgQS3lKHpHYNvktFUQklD90NcLcvX4nIvcANwE9gBuBKcCJURWmsroHrc376Td8Ut4dm84I4jCCP1mMZ86vmk4s986LVJ3DOIQ6dBTrHd6v6GSD3tTqhYn/PwrQ2Q1GxgYOnUjfbZVA8UV60QU6dGqjsQxR1lCja037EtH1BupOmMCevy2j7oQJhRPuMYn2BJ0R7oUU7ZD/jvJRRNwBaG7+yPbwoXmZSv6fwor5dMId0l/n3UOqSka4Q6H3/Dhw5kHdjpTXIZSq1ubs/lzRozY2sQ7RUV1B9gAAE+pJREFU7xJfWVNbUoI9SFVVbfsU9yH1Y/MX7u923Lmw021FU27/Yy4naHSFCHzrvqasG7ymm0YfVojHJdwDtm1htmF4wkTe64AbgGNx69/vA25Q1chUqYhodc96jvl87DP0uzSrX/gNH6xfwuD+RzHhiFmR2s4m1DMRNvIuIlpd18CE8+Pzh3Qd7EwRtbgoV4EeliW7n2FT81pUNedd2UREpaaaQ+fOAaLbPTojEQt2yH8HechPbBUk2g6h/Chs5F1ENOXGd3kK+VRENc0+V6I8sq6USTfzYNkDP6F5z47wbUN1NcP/47oD0stJrCcoVcGeIDg1Pq+TRFII9lSEjrxXDdQT68/JqS3YN6xPTvf5okTgQ0bfoWME/vVrHw+9wWvcx8l1lnvOfJQ9m/eGahcs8m6R965MGPFeA1wHzAR6Az9S1d9GWpiPps0vIZ5w5wDg/RjslpL9CuDowOtF5B72j7v8I1R1YK4fNn8omu047bf7Z9gOun+6DGiKoVzlej27gv3Otgth2rYwlPO1LGf7VcAk6FZtQ7n+VoWyH7Zt2MpHJyLFQblcz3T9wHIpf5DOtgtx+4JRXEK1DV2NMOJ9CfAY8BNgIHAb0KSqX4yveNEiIgviHKkx++VFOV/Pci57KVLu17Pc7ZcS5X4ty91+qWHtePHslxrlfj3L3b5hGI4w604vBlYDP1DVjcC3cBFRwzAMwzAMwzAMwzBiJIx4vwg4ATjfv/4Q+FzkJTIMwzAMwzAMwzAM4wDC7OhyvKoeIyKLAFR1u0hU2wcXjNvNflHtlxrlfD3LueylSLlfz3K3X0qU+7Usd/ulhrXjxbNfapT79Sx3+4ZhEG7N+8vAScB8L+IHAk+p6tFZvmoYhmEYhmEYhmEYRh6EmTZ/M/AoMEhErgNeAH4aS6kMwzAMwzAMwzAMw2gn58g7gIgcCcwABHhGVVfGVbByREREw1xQo8tivmAkMF8wEpgvGEHMH4wE5guGYeRKKPFudEREpgEjVfU3/nXkDbCI1KnqnihtBmyfAByOO0ngVVWN45zcboH5gpHAfMFIUAhf8HZj8QfzhWixtsFIYL5gGEZnCDNtviwRkdEiMkVEaiO2WyEivYFfAd8XkUsAVFVFJLLrKiKfA24QkUFR2QzY/ixug5HTgSuAEVHnUUqYL2S03a18AeLxB/OF8qScfcHnFYs/mC9EatfahjLDfCGj7W7lC4ZRSoTZbb7sEJGzcevytwGbRORqVX0jCtuq2gbsFpG7gVbgJBHpqao/9+/ljYicCtwAfEtVt0RhM2C7P3AZcIGqLheRO4HJIrIT2KWq+6PMr9iYL2S03a18AeLzB/OF8qOcfQHi8wfzBbtPJNnuVv5gvpDRdrfyBcMoNbps5F1ETgJuAr6mqqcB24ErY8iqBRgG3A1MFZF/FZGfiSPf63sscIeqPi0iB4vITBE5XkT65l1qV+6ewJEiUg9MBy4E/g34kYjURZBHSWC+kJVu4wtQMH8wXygDuoAvQHz+YL5g94kg3cYfzBey0m18wTBKkS4r3j03qOoi//xqoJ9EPP0JeAzYpKrPAAuAS4B6deQ7gtoSeP4w8HXgfwL/ISIH5WNYVXfiThD4PvAUcJeqfga4A/gYMDof+yWI+UIauqEvQPz+YL5QPpSzL0BM/mC+YPeJIN3QH8wX0tANfcEwSoquLN5fBn4PICKVQC1uTU69T+sfUT77gDEicjGu4b0eGC4i34jA9rPAxSLyW+DXqno+7iayG5iar3FVfRi3Xul5YJFP+wvQh661fsl8IQvdyBegMP5gvlAelLsvQIz+YL5g94kg3cgfzBey0I18wTBKji675l1VW4Fd/qUAO4APVHWriHwFmCYil6vqvjzz2SAi7wA/Bi5T1f8nIqcBb+Zj19teJiJX4EY43/Bpb/mbycB87Xt720XkL8CXRKQJ6AGMBJZGYb8UMF/IOY8u7wtQGH8wXygPyt0XvP1Y/cF8we4TSXl0eX8wX8g5jy7vC4ZRinSro+JEZC6wEfgkMFtVl0VkdxgwSFUX+tcVEU2HRESqgAuAOcB1PvmbwCxVXRNRHg249UpfAPYD/1tVl0Rhu1QxX0ibR7fzBYjHH8wXypNy8wVvL1Z/MF+w+0RSHt3OH8wX0ubR7XzBMIpNtxDvIiJANbDS/52hqqvjyEdjuqAicgxwHm761tyobhxJefTB+cSurB8uU8wXcs6jy/sCFMYfzBfKg3L3BW8/Vn8wX4g+H2sbShvzhZzz6PK+YBilQrcQ7wlEZDYwX1VfK3ZZjOJivmAEMX8wEpgvGAnMF4wE5guGYZQK3U28xxr1MMoH8wUjiPmDkcB8wUhgvmAkMF8wDKNU6Fbi3TAMwzAMwzAMwzDKka58VJxhGIZhGIZhGIZhdAlMvBuGYRiGYRiGYRhGiWPi3TAMwzAMwzAMwzBKHBPvESMic0TkCv98tojMCTz/ZYz5fldEesVlv7sjIg0icql/frCIPOyfTxaRMwOfy/o7i8ihIjIv8Hx5jOU+R0TGxWXfMLoj+dRbEZkuIn/I4TNzc/18Pvg26+C47BuG0TmCfY0IbVq/1DDKHBPvESIiVUXM/ruANZLx0QBcCqCqG1T1PJ8+GTgz7beKzzlAtxPvUQ62pLHfPkiXlB55Z6uz+DLODjzvUN4I8/pBXLaN2JkNdHnxHveAS5rvzRWR81KkTxGRmztTlqjxZZweeN6hvBHl094mG7mR1NcoR6xfahgxYOI9R5Jv/CJyhe8QzxORfxORBcB3spgZ5j+/WkSuDti6XESW+8d3M6WLSJ2IPCEiS3z6LBH5Nq7z9ayIPBvtf254rgdGichiEXnIX/sa4CfALJ8+K/gFERkoIo+IyHz/ODmN7SoRuU9EVorIw4mRahGZISKLRGSZiNwpIrVZ0q8XkRUislRE/llETgI+C9zkyzcqrotTghRlsKUznS0RqYyrPAWkO4r3DvU2Q908Q0ReF5FXgXN9WoW/FwwMvH4z8TqJet/urxKR20Skwn/nfJ/XchG5IfHhVOkiUunF2XL/3j96oTYFuM+3ET3jvWQGgKouUNVv5/p5cZR7f629TS51ROSrIvKKrxO/EpHj/X21h++DvSYiR/lBnb+mqZu3isgC/9lrArbXicg1IvKqr4dH+vRTfX6LfRvSRwL9Tp/3Xf47i0TkNJ8+W0R+LyJP+vbkRp/eob6n+XetX2oYZUa53wxKhRpVnaKq/5Llc1OBLwATgS+KG30/FrgIOB44AbhYRI5Olw6cAWxQ1UmqehTwpKreDGwATlPV02L5D40rgTWqOhn4HoCqNgFXAQ+q6mRVfTDpO78Afq6qx+F+9zvS2B4D3KKqY4FdwKUi0gOYC8xS1QlAFfDNDOn9gc8D41V1InCtqv438DjwPV++NZFcifIgzsGWBJNE5CXf6bnY2wh2tnqJyO/EDag8KiIvi8gU/95uEfkXEVkCnCgiV/k8l4vI7SIi/nPzROTnvhO4UkSO8x211SJyrf9Mh45TiPKKiNwU6ODNypI+1HdWF/v3ThGR64GePu2+0L9U+ZJcby8nfZ39NfAZ4FhgCICqtgH3Al/x9k4Hlqjq1hR5TQW+hZtFMwo4V9xU9xuAT+AGpY4Tt0wmZbp/foiqHuXLd5eqPgwsAL7i24h90V2ekqSQAy4JTvf19w0ROdt/rz2S79udp8WJvDtE5G0RGeDbklUicg+wHCeyMgnCn/k6uEBEjhGRP4vIGhG5xH+mQ90NUd50wjFd+nj5SPwuFZHDObBNvqmTv1/siMhYYBZwsr/ft+Lq+uPAtcCNwL2qmgjmdKibPv2HqjoF1987VUQmBrJ5X1WPAW4FEjOirgAu83meAiTXxcsA9XX3fOBu37aAq9uzgAm4+9swUtT3NP+y9UsNo8ww8R4NyaItHU+r6jbfQfo9MM0/HlXVPaq626efkiF9GTBTRG4QkVNUdWfk/40RFacDvxSRxbgbf72I9E7xuXdU9UX//F7cbz8GWKuqb/j0u4GPZ0jfCewH/lNEzgX2xvEPlRFxDrYkmIgTSCcCV0nHdcOXAttVdRzwY5xwS1AHvOw7Oy8Av1TV43zHpydwduCzTb4TeBvwGK4TdxQwW9ygTYeOU4jynovr5E3C+etNIjI0Q/oFwJ/9dZ0ELFbVK4F9/pp+JTnTLkxyvZ1B6rp5pE9frarqP5vgTuBC//zrpO9gv6Kqb6lqK/AAro04DpinqltVtQW4z+eXLv0t4DAR+XcROQM34NDdKOSAS4JDcQLpLOC2gOBKcDXwF1UdDzwMDA+8d7gv73hVfZvMgnC9r5fP+//pPJzASoj8DnU3RHnTCcd06ZcAv/B5TQHeJdAmq+r3MlyvYjMD95vP9/fuGcBhuIHfmbj/58bA51PVTYAv+YGfRcB4Dly+9nv/dyHuegO8CPyruIh1g6+7Qabh2w5VfR14GzjCv/eMqu5U1f3ACmAEudd365caRplh4j13WjjwegVvwHtytKFZXmc34DqGx+Aay2tF5KqwNoyCUQGc4Dsrk1X1EH/DSyYKv2jBdbgexgm/dALOSE+ugy0JHlPVfar6PvAs7voHmQb8FsBHaZYG3msFHgm8Pk1cZH4ZTmCPD7z3uP+7DHhNVTeqaiOuczaM3DtOqco7DXhAVVtVdTPwHE78pUufD1wkbsOjCar6YYbr09VJrqc7QhtQfQfYLCKfwP0ef8oxr860Edtxom0eTlxlG5zqihRywCXB71S1TVVX4+rskUnvB9uJJ4HtgffeVtW/BV5nEoTBduJlVf3QDyo0ikgDudfdVOVNJxzTpb8E/EBE/g8wosxmdAhwd+C+PUZV5wD9gd5AHw7s/3WomyIyEhdJn6FuJtwTSd9p9H9bcQNGqOr1wN/jBm9fFD+dPkcaA89bgaoQ9d36pYZRZph4z53NwCAR6e+n1Z2d7QspmCki/cStKzwHN9L6PHCOn75Xh5v6/Hy6dB8t26uq9wI34RpMgA9xNxUjHtJd30zX/SncdDrAbZaW5nPDReRE//wC4AVgFXCoiIz26f8DJ6BSpnuR2VdV/wj8I+6mna18xoHkOtiSIJ9Oz34fqcFHqm4BzvMRrF+TuqPXxoGdtDZcJy3XjlMUnbS/4sTNe8BcEbkwy1e6Msn1dgGp6+zrPj2x58T5SXbuwAmghxI+kYKpIjJS3HraWbg24hVc9HWAuH0Tzvf5pUwXkQFAhao+AvyI7nnvKOSAS7o8w9S79sBACEGYrp3Ite5G0U7cj9tvZR/wR3+tyoVngPNEZBCA77ONAH6Fm0F1H25ZSoJUdbMe99vtFJHBwKezZSoio1R1maregBtoSRbvz+NnfIjIEbgZGqsy2EtX35OxfqlhlBkm3nNEVZtx06ZeAZ7GdcjC8gou2rYUeETdpjWv4qa4vQK8DNyhqovSpePWNL3io4NX49ZgAdwOPCm2MUgsqOo23Gj4ctzNKcGzwDhJsYYa+DYwxa/5W4Eb/U7FKuAyEVkJHATc6qe/XQQ85KOxbcBt6dJxN8g/iMhSXOfhcm/7t8D3/HrE7rRhXZyDLQk+J27NZ39gOq7DFeRF4Eve1jhc3U1FogP+vh+ECbvhXbqOUy7lfR63RrJS3Lrdj+PanJTpvhO7WVV/jROdibyaRaQ6TLm7AMn19uekr7P/ADzho6Zbkuw8jovoZYrgzgd+CawE1uKmrm7ETUV+FlgCLFTVx9KlA4cA8/y9417g+972XNz06O6wYV0hB1wSfFHc2vhRuOnXyYIr2E58EudLqQgtCINkqLu5lDedcEyZLiKHAW+pW/f8GG6af1kIOVVdgRO7T/n76dPA14BmPyhxPW4ficSARKq6uQQ3O+J14H7cb5yN74rbi2Ap0EzHQaFbgArftjwIzPYzsNKRrr4nY/1Swyg3VNUeMT1wR/DMKXY57FFaD9wat3nFLkdXf+A6TcuBh4DlPq0frrO1GBclmY1bbw4wANcpWopbN3hbBttzgHtw00NXAxcHfttEXnW4ZQwrcGsDFwOH+/d2J9m7FliD6+TdlWg3cFMep/jn04E/BL4zD7f+8lO+zIv9/zYlUMbZWcorOMG/HBe5n5Ul/Ws+bRGu4z7Sp9+A67zeV+zfvdwe/jd8PiltOjC32GXrSg9fN1/HCZmVOMHSCzd1fpH38zuBWv/5M/znX8XthxGse9W4NcRHZslzLm5wdQHwBnB24Pf9g38+CBftXY6bdbMRqA22JUn23vCf/32gfq8DBvjns/FtWvC9DHV3LjA9S3l74NqlZf77p2VJvxJ4DdcmPQn08+mJNvmmYvtDRD7V/juWywPrl9rDHmX/ENXQM6KMHBF3xvKh6tZLGQbgdiTHdcynF7ckRpz4KcvVqrrfR7H+CxijbuO8QuQ/B1inqnMLkZ8RHhG5Evgmbrf3FwLp03HCbHaRimZkQNypET9X1XQ7toexVQu0qmqLnxVwq7qN3gqCiMzF3Y/mFSrProKvp1eoameWURYF65caRvlTVewCdHEW40a9DSPIDlyEw+ja9MKdcVuNi2RfWijhbpQH6japuj7FW+uA/1vY0hi5EBxwicjkcOB3fs10E3BxRHaNmPEDHvOKXIywWL/UMMoci7wbhmGkQUQuAr6TlPyiql5WjPKEwUeFdqhquiOhDMOIABH5IfDFpOSHVPW6YpQnDCJyDu7Ix3XFLothGIaRHRPvhmEYhmEYhmEYhlHi2G7zhmEYhmEYhmEYhlHimHg3DMMwDMMwDMMwjBLHxLthGIZhGIZhGIZhlDgm3g3DMAzDMAzDMAyjxDHxbhiGYRiGYRiGYRglzv8HI1d155nrhNcAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 1008x1008 with 49 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plot_objective(metadata, sample_source='result')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3413\n",
+      "CPU times: user 2.18 s, sys: 696 ms, total: 2.88 s\n",
+      "Wall time: 7min 6s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'url|boost': 7.5510316594810964,\n",
+       " 'title|boost': 0.0,\n",
+       " 'title_bigrams|boost': 0.0,\n",
+       " 'body|boost': 10.0,\n",
+       " 'body_bigrams|boost': 0.0,\n",
+       " 'expansions|boost': 10.0,\n",
+       " 'expansions_bigrams|boost': 5.243287957841142}"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_params"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'url|boost': 5.019618907965658,\n",
+       " 'title|boost': 2.1715172653248564,\n",
+       " 'title_bigrams|boost': 0.6258343432390224,\n",
+       " 'body|boost': 8.97005088495938,\n",
+       " 'body_bigrams|boost': 0.785011613141371,\n",
+       " 'expansions|boost': 9.958043226768973,\n",
+       " 'expansions_bigrams|boost': 2.6104666149721205}"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# with 100/20 iterations\n",
+    "# 0.3436\n",
+    "\n",
+    "{\n",
+    "    'url|boost': 5.019618907965658,\n",
+    "    'title|boost': 2.1715172653248564,\n",
+    "    'title_bigrams|boost': 0.6258343432390224,\n",
+    "    'body|boost': 8.97005088495938,\n",
+    "    'body_bigrams|boost': 0.785011613141371,\n",
+    "    'expansions|boost': 9.958043226768973,\n",
+    "    'expansions_bigrams|boost': 2.6104666149721205\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Selective fields\n",
+    "\n",
+    "Based on the results from above, remove fields with `0` boost values."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_templates = deepcopy(base_templates)\n",
+    "_templates[0]['template']['source']['query']['multi_match'] = {\n",
+    "    \"type\": query_type,\n",
+    "    \"query\": \"{{query_string}}\",\n",
+    "    \"fields\": [\n",
+    "        \"url^{{url|boost}}\",\n",
+    "        \"body^{{body|boost}}\",\n",
+    "        \"expansions^{{expansions|boost}}\",\n",
+    "        \"expansions.bigrams^{{expansions_bigrams|boost}}\"\n",
+    "    ]\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3389\n",
+      "CPU times: user 2.38 s, sys: 1.01 s, total: 3.39 s\n",
+      "Wall time: 3min 51s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
+    "    'url|boost': 1.0,\n",
+    "    'body|boost': 1.0,\n",
+    "    'expansions|boost': 1.0,\n",
+    "    'expansions_bigrams|boost': 1.0\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 1/100, took 0:00:47 (remains: 1:18:01)\n",
+      "   | 0.3192 (best: 0.3192) - {'url|boost': 3.1534369352709772, 'body|boost': 5.17470530348217, 'expansions|boost': 8.616905403474188, 'expansions_bigrams|boost': 1.344222671815042}\n",
+      " > iteration 2/100, took 0:00:39 (remains: 1:04:52)\n",
+      "   | 0.3099 (best: 0.3192) - {'url|boost': 3.37921714109408, 'body|boost': 8.547548572886692, 'expansions|boost': 6.449655320718694, 'expansions_bigrams|boost': 9.47905662687997}\n",
+      " > iteration 3/100, took 0:00:42 (remains: 1:09:21)\n",
+      "   | 0.3122 (best: 0.3192) - {'url|boost': 4.976528926154728, 'body|boost': 7.561029327691196, 'expansions|boost': 4.771402900016107, 'expansions_bigrams|boost': 7.642019706390334}\n",
+      " > iteration 4/100, took 0:00:37 (remains: 0:59:55)\n",
+      "   | 0.3107 (best: 0.3192) - {'url|boost': 8.269811951902422, 'body|boost': 3.9604307826572214, 'expansions|boost': 7.683212383605039, 'expansions_bigrams|boost': 8.863124189222091}\n",
+      " > iteration 5/100, took 0:00:39 (remains: 1:02:47)\n",
+      "   | 0.3102 (best: 0.3192) - {'url|boost': 8.06245977318514, 'body|boost': 8.37903678895154, 'expansions|boost': 1.6098826875547614, 'expansions_bigrams|boost': 4.332251310706522}\n",
+      " > iteration 6/100, took 0:00:34 (remains: 0:54:46)\n",
+      "   | 0.3107 (best: 0.3192) - {'url|boost': 0.6719681038066961, 'body|boost': 9.361891265676377, 'expansions|boost': 5.982813469364027, 'expansions_bigrams|boost': 0.6920111794940732}\n",
+      " > iteration 7/100, took 0:00:33 (remains: 0:51:18)\n",
+      "   | 0.3059 (best: 0.3192) - {'url|boost': 1.3064239809743885, 'body|boost': 0.7082858841701479, 'expansions|boost': 4.2058106593488, 'expansions_bigrams|boost': 4.631310519196407}\n",
+      " > iteration 8/100, took 0:00:41 (remains: 1:03:35)\n",
+      "   | 0.3043 (best: 0.3192) - {'url|boost': 7.348968662744632, 'body|boost': 8.816953361177456, 'expansions|boost': 2.1910916609093585, 'expansions_bigrams|boost': 2.30025395017377}\n",
+      " > iteration 9/100, took 0:00:38 (remains: 0:57:57)\n",
+      "   | 0.3027 (best: 0.3192) - {'url|boost': 5.168515387289871, 'body|boost': 2.3565623039701395, 'expansions|boost': 1.5968745802755715, 'expansions_bigrams|boost': 0.9419184043859143}\n",
+      " > iteration 10/100, took 0:00:36 (remains: 0:54:07)\n",
+      "   | 0.3114 (best: 0.3192) - {'url|boost': 3.3230190784696174, 'body|boost': 7.4538151017762475, 'expansions|boost': 5.453200997018925, 'expansions_bigrams|boost': 7.862588695871073}\n",
+      " > iteration 11/100, took 0:00:36 (remains: 0:54:06)\n",
+      "   | 0.3034 (best: 0.3192) - {'url|boost': 9.815657606518812, 'body|boost': 4.398401009187496, 'expansions|boost': 2.5174265864277707, 'expansions_bigrams|boost': 6.979145952846572}\n",
+      " > iteration 12/100, took 0:00:35 (remains: 0:52:17)\n",
+      "   | 0.3156 (best: 0.3192) - {'url|boost': 7.483697671567986, 'body|boost': 8.507256072728977, 'expansions|boost': 8.99059675751258, 'expansions_bigrams|boost': 8.999903235430555}\n",
+      " > iteration 13/100, took 0:00:32 (remains: 0:47:37)\n",
+      "   | 0.3182 (best: 0.3192) - {'url|boost': 3.4333417327357623, 'body|boost': 7.0420614762501765, 'expansions|boost': 7.767523741014904, 'expansions_bigrams|boost': 2.1713858306036897}\n",
+      " > iteration 14/100, took 0:00:33 (remains: 0:48:36)\n",
+      "   | 0.3081 (best: 0.3192) - {'url|boost': 2.433092115034478, 'body|boost': 3.3030271336497536, 'expansions|boost': 4.8002549682704725, 'expansions_bigrams|boost': 6.817916909899995}\n",
+      " > iteration 15/100, took 0:00:36 (remains: 0:52:08)\n",
+      "   | 0.3136 (best: 0.3192) - {'url|boost': 6.311727655579257, 'body|boost': 5.883085122571695, 'expansions|boost': 5.235806568845051, 'expansions_bigrams|boost': 1.4630781182770893}\n",
+      " > iteration 16/100, took 0:00:30 (remains: 0:42:33)\n",
+      "   | 0.3024 (best: 0.3192) - {'url|boost': 6.709157416386965, 'body|boost': 1.164936465255483, 'expansions|boost': 2.996696248532937, 'expansions_bigrams|boost': 9.693540243488979}\n",
+      " > iteration 17/100, took 0:00:36 (remains: 0:49:51)\n",
+      "   | 0.3189 (best: 0.3192) - {'url|boost': 7.102896636970863, 'body|boost': 8.694289298308751, 'expansions|boost': 8.242079289254692, 'expansions_bigrams|boost': 4.925586032298011}\n",
+      " > iteration 18/100, took 0:00:38 (remains: 0:52:47)\n",
+      "   | 0.2957 (best: 0.3192) - {'url|boost': 3.5895053797574055, 'body|boost': 4.4678357013913805, 'expansions|boost': 0.057163847221306525, 'expansions_bigrams|boost': 1.624256964189136}\n",
+      " > iteration 19/100, took 0:00:29 (remains: 0:39:56)\n",
+      "   | 0.3139 (best: 0.3192) - {'url|boost': 5.069794361455175, 'body|boost': 2.853720364184667, 'expansions|boost': 9.874030943270965, 'expansions_bigrams|boost': 3.276877544113636}\n",
+      " > iteration 20/100, took 0:00:32 (remains: 0:43:19)\n",
+      "   | 0.2994 (best: 0.3192) - {'url|boost': 2.2238918924838895, 'body|boost': 0.6493812334635342, 'expansions|boost': 4.366572542640012, 'expansions_bigrams|boost': 8.158486101390839}\n",
+      " > iteration 21/100, took 0:00:19 (remains: 0:25:49)\n",
+      "   | 0.3025 (best: 0.3192) - {'url|boost': 5.7962693191804515, 'body|boost': 0.14338027994230787, 'expansions|boost': 9.287725674979354, 'expansions_bigrams|boost': 0.042332390516705135}\n",
+      " > iteration 22/100, took 0:00:25 (remains: 0:32:43)\n",
+      "   | 0.3154 (best: 0.3192) - {'url|boost': 1.6537716924840786, 'body|boost': 6.3750880153620955, 'expansions|boost': 9.989490988895739, 'expansions_bigrams|boost': 1.6623017210938198}\n",
+      " > iteration 23/100, took 0:00:32 (remains: 0:41:12)\n",
+      "   | 0.3138 (best: 0.3192) - {'url|boost': 8.279935527388139, 'body|boost': 6.96293239616569, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 1.9012565958763286}\n",
+      " > iteration 24/100, took 0:00:34 (remains: 0:43:43)\n",
+      "   | 0.3065 (best: 0.3192) - {'url|boost': 5.895362599584403, 'body|boost': 9.987730940021425, 'expansions|boost': 0.3048688079469553, 'expansions_bigrams|boost': 9.734165205957883}\n",
+      " > iteration 25/100, took 0:00:34 (remains: 0:42:51)\n",
+      "   | 0.3162 (best: 0.3192) - {'url|boost': 1.7356089832764068, 'body|boost': 9.96578104480943, 'expansions|boost': 9.896286230237308, 'expansions_bigrams|boost': 8.617431697922598}\n",
+      " > iteration 26/100, took 0:00:31 (remains: 0:38:49)\n",
+      "   | 0.3159 (best: 0.3192) - {'url|boost': 2.6356237316240176, 'body|boost': 6.101392408723198, 'expansions|boost': 9.852196211991734, 'expansions_bigrams|boost': 5.839576444493869}\n",
+      " > iteration 27/100, took 0:00:35 (remains: 0:42:43)\n",
+      "   | 0.3177 (best: 0.3192) - {'url|boost': 9.705719864621148, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.8083605844996615}\n",
+      " > iteration 28/100, took 0:00:35 (remains: 0:42:06)\n",
+      "   | 0.3178 (best: 0.3192) - {'url|boost': 5.874049702540263, 'body|boost': 9.97576319296352, 'expansions|boost': 9.908180607417911, 'expansions_bigrams|boost': 5.1594101549702565}\n",
+      " > iteration 29/100, took 0:00:30 (remains: 0:36:19)\n",
+      "   | 0.3175 (best: 0.3192) - {'url|boost': 2.0328426297297235, 'body|boost': 5.2798433362212736, 'expansions|boost': 7.476068899523012, 'expansions_bigrams|boost': 3.689407073792897}\n",
+      " > iteration 30/100, took 0:00:30 (remains: 0:35:55)\n",
+      "   | 0.3048 (best: 0.3192) - {'url|boost': 3.982998198295389, 'body|boost': 0.05085686290938308, 'expansions|boost': 9.785470560236142, 'expansions_bigrams|boost': 9.448241776362627}\n",
+      " > iteration 31/100, took 0:00:26 (remains: 0:30:38)\n",
+      "   | 0.2857 (best: 0.3192) - {'url|boost': 8.310522884189313, 'body|boost': 0.04291716448192263, 'expansions|boost': 0.032031011250722725, 'expansions_bigrams|boost': 9.138329665827348}\n",
+      " > iteration 32/100, took 0:00:22 (remains: 0:25:42)\n",
+      "   | 0.3090 (best: 0.3192) - {'url|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 33/100, took 0:00:36 (remains: 0:40:47)\n",
+      "   | 0.3143 (best: 0.3192) - {'url|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 5.407728568138644, 'expansions_bigrams|boost': 5.129569632266961}\n",
+      " > iteration 34/100, took 0:00:35 (remains: 0:39:15)\n",
+      "   | 0.3145 (best: 0.3192) - {'url|boost': 10.0, 'body|boost': 7.1314505035158415, 'expansions|boost': 8.290142231144618, 'expansions_bigrams|boost': 4.336333978137986}\n",
+      " > iteration 35/100, took 0:00:34 (remains: 0:36:54)\n",
+      "   | 0.3105 (best: 0.3192) - {'url|boost': 9.38819662125159, 'body|boost': 5.247377239917144, 'expansions|boost': 9.988264689447725, 'expansions_bigrams|boost': 9.922829033776896}\n",
+      " > iteration 36/100, took 0:00:29 (remains: 0:30:59)\n",
+      "   | 0.2777 (best: 0.3192) - {'url|boost': 4.045469474318675, 'body|boost': 9.821225970963265, 'expansions|boost': 0.3082127924987044, 'expansions_bigrams|boost': 0.35294281566479185}\n",
+      " > iteration 37/100, took 0:00:32 (remains: 0:34:09)\n",
+      "   | 0.3130 (best: 0.3192) - {'url|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 6.573920974226059}\n",
+      " > iteration 38/100, took 0:00:32 (remains: 0:33:20)\n",
+      "   | 0.3169 (best: 0.3192) - {'url|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 8.062328686583816, 'expansions_bigrams|boost': 3.1374604856213195}\n",
+      " > iteration 39/100, took 0:00:33 (remains: 0:34:13)\n",
+      "   | 0.3164 (best: 0.3192) - {'url|boost': 9.349999868502103, 'body|boost': 9.886867743067697, 'expansions|boost': 9.842944527309902, 'expansions_bigrams|boost': 9.895908609463875}\n",
+      " > iteration 40/100, took 0:00:36 (remains: 0:36:36)\n",
+      "   | 0.3123 (best: 0.3192) - {'url|boost': 9.076173689106563, 'body|boost': 0.08023475558936456, 'expansions|boost': 9.9762552167584, 'expansions_bigrams|boost': 5.5326962591808995}\n",
+      " > iteration 41/100, took 0:00:35 (remains: 0:34:26)\n",
+      "   | 0.3051 (best: 0.3192) - {'url|boost': 7.99275539244523, 'body|boost': 0.1740067594949191, 'expansions|boost': 5.931312136019569, 'expansions_bigrams|boost': 1.7912580615677178}\n",
+      " > iteration 42/100, took 0:00:32 (remains: 0:31:24)\n",
+      "   | 0.3146 (best: 0.3192) - {'url|boost': 0.0, 'body|boost': 7.006009071715535, 'expansions|boost': 6.585374186115577, 'expansions_bigrams|boost': 3.244896548296622}\n",
+      " > iteration 43/100, took 0:00:35 (remains: 0:34:05)\n",
+      "   | 0.3076 (best: 0.3192) - {'url|boost': 2.16425770084377, 'body|boost': 9.865189002656724, 'expansions|boost': 0.1628394661128463, 'expansions_bigrams|boost': 7.024189528517587}\n",
+      " > iteration 44/100, took 0:00:34 (remains: 0:32:18)\n",
+      "   | 0.3186 (best: 0.3192) - {'url|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 3.548490177989237}\n",
+      " > iteration 45/100, took 0:00:34 (remains: 0:31:45)\n",
+      "   | 0.3096 (best: 0.3192) - {'url|boost': 0.4292157996189439, 'body|boost': 9.975625544079175, 'expansions|boost': 3.670214435901929, 'expansions_bigrams|boost': 9.982583175914733}\n",
+      " > iteration 46/100, took 0:00:26 (remains: 0:23:35)\n",
+      "   | 0.3180 (best: 0.3192) - {'url|boost': 3.032527657968605, 'body|boost': 5.1619951866620015, 'expansions|boost': 6.920697789948597, 'expansions_bigrams|boost': 0.08943953452429822}\n",
+      " > iteration 47/100, took 0:00:32 (remains: 0:29:08)\n",
+      "   | 0.3098 (best: 0.3192) - {'url|boost': 10.0, 'body|boost': 5.442585728429661, 'expansions|boost': 7.641257786765619, 'expansions_bigrams|boost': 1.2630175214856303}\n",
+      " > iteration 48/100, took 0:00:14 (remains: 0:12:10)\n",
+      "   | 0.3103 (best: 0.3192) - {'url|boost': 0.006606102724923125, 'body|boost': 2.5288618430754877, 'expansions|boost': 7.73535853962448, 'expansions_bigrams|boost': 0.6095899417375273}\n",
+      " > iteration 49/100, took 0:00:35 (remains: 0:29:49)\n",
+      "   | 0.3069 (best: 0.3192) - {'url|boost': 9.22198940104872, 'body|boost': 9.872075719258303, 'expansions|boost': 7.339842118118525, 'expansions_bigrams|boost': 0.1646315885713834}\n",
+      " > iteration 50/100, took 0:00:35 (remains: 0:29:10)\n",
+      "   | 0.3177 (best: 0.3192) - {'url|boost': 4.3485597312125375, 'body|boost': 10.0, 'expansions|boost': 6.877051847246981, 'expansions_bigrams|boost': 4.503413674089347}\n",
+      " > iteration 51/100, took 0:00:34 (remains: 0:27:49)\n",
+      "   | 0.3165 (best: 0.3192) - {'url|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 7.239985100315275}\n",
+      " > iteration 52/100, took 0:00:26 (remains: 0:21:00)\n",
+      "   | 0.2975 (best: 0.3192) - {'url|boost': 0.5362308406335471, 'body|boost': 5.964099551083856, 'expansions|boost': 0.2431464865159561, 'expansions_bigrams|boost': 9.704871004367197}\n",
+      " > iteration 53/100, took 0:00:34 (remains: 0:26:45)\n",
+      "   | 0.3121 (best: 0.3192) - {'url|boost': 9.891487539831749, 'body|boost': 9.653107008239331, 'expansions|boost': 5.05127346686135, 'expansions_bigrams|boost': 9.166109822516264}\n",
+      " > iteration 54/100, took 0:00:21 (remains: 0:16:35)\n",
+      "   | 0.3072 (best: 0.3192) - {'url|boost': 0.05842919314583029, 'body|boost': 0.29913885229447273, 'expansions|boost': 9.742402852654182, 'expansions_bigrams|boost': 5.440907849914439}\n",
+      " > iteration 55/100, took 0:00:33 (remains: 0:25:13)\n",
+      "   | 0.3194 (best: 0.3194) - {'url|boost': 5.273054577603691, 'body|boost': 10.0, 'expansions|boost': 9.063465505593332, 'expansions_bigrams|boost': 3.3389716625765247}\n",
+      " > iteration 56/100, took 0:00:31 (remains: 0:23:00)\n",
+      "   | 0.3076 (best: 0.3194) - {'url|boost': 0.285237246705038, 'body|boost': 5.334369771606209, 'expansions|boost': 9.644071121822822, 'expansions_bigrams|boost': 9.724591920861341}\n",
+      " > iteration 57/100, took 0:00:36 (remains: 0:26:14)\n",
+      "   | 0.3117 (best: 0.3194) - {'url|boost': 0.31930245936678486, 'body|boost': 9.908697679104518, 'expansions|boost': 3.0754753421969543, 'expansions_bigrams|boost': 5.52226434047803}\n",
+      " > iteration 58/100, took 0:00:13 (remains: 0:09:38)\n",
+      "   | 0.3129 (best: 0.3194) - {'url|boost': 0.050228277458492794, 'body|boost': 0.9579665924657645, 'expansions|boost': 2.6216720635285324, 'expansions_bigrams|boost': 0.08252086796705084}\n",
+      " > iteration 59/100, took 0:00:34 (remains: 0:23:31)\n",
+      "   | 0.3132 (best: 0.3194) - {'url|boost': 0.3551886680242578, 'body|boost': 0.361363310698496, 'expansions|boost': 0.16027641489300695, 'expansions_bigrams|boost': 0.423060840229137}\n",
+      " > iteration 60/100, took 0:00:32 (remains: 0:21:26)\n",
+      "   | 0.3092 (best: 0.3194) - {'url|boost': 9.89003307953756, 'body|boost': 0.36309344104707825, 'expansions|boost': 8.195025203489298, 'expansions_bigrams|boost': 9.302240734749448}\n",
+      " > iteration 61/100, took 0:00:29 (remains: 0:19:08)\n",
+      "   | 0.3195 (best: 0.3195) - {'url|boost': 3.0439332228550597, 'body|boost': 5.011677543319463, 'expansions|boost': 7.243240801717356, 'expansions_bigrams|boost': 1.715016303112965}\n",
+      " > iteration 62/100, took 0:00:36 (remains: 0:22:51)\n",
+      "   | 0.3195 (best: 0.3195) - {'url|boost': 5.302732401136118, 'body|boost': 8.639454959138973, 'expansions|boost': 9.129053656558142, 'expansions_bigrams|boost': 3.773337349985101}\n",
+      " > iteration 63/100, took 0:00:34 (remains: 0:21:30)\n",
+      "   | 0.3189 (best: 0.3195) - {'url|boost': 6.119129957077293, 'body|boost': 9.06567277641751, 'expansions|boost': 7.917479843261662, 'expansions_bigrams|boost': 3.3297232187879127}\n",
+      " > iteration 64/100, took 0:00:32 (remains: 0:19:46)\n",
+      "   | 0.3137 (best: 0.3195) - {'url|boost': 9.68938571014941, 'body|boost': 4.1339036186682065, 'expansions|boost': 9.657668020285389, 'expansions_bigrams|boost': 6.088177714864107}\n",
+      " > iteration 65/100, took 0:00:32 (remains: 0:18:56)\n",
+      "   | 0.3104 (best: 0.3195) - {'url|boost': 9.894005839638435, 'body|boost': 1.1091867822600834, 'expansions|boost': 6.086957673162956, 'expansions_bigrams|boost': 5.652484934613861}\n",
+      " > iteration 66/100, took 0:00:12 (remains: 0:07:15)\n",
+      "   | 0.2371 (best: 0.3195) - {'url|boost': 9.264735547370172, 'body|boost': 0.09870829491157586, 'expansions|boost': 0.04407173074951865, 'expansions_bigrams|boost': 0.46680671588427264}\n",
+      " > iteration 67/100, took 0:00:15 (remains: 0:08:18)\n",
+      "   | 0.3042 (best: 0.3195) - {'url|boost': 3.0522392529824787, 'body|boost': 0.0, 'expansions|boost': 4.992704352371879, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 68/100, took 0:00:15 (remains: 0:08:00)\n",
+      "   | 0.2685 (best: 0.3195) - {'url|boost': 0.0, 'body|boost': 0.0, 'expansions|boost': 0.0, 'expansions_bigrams|boost': 5.357772536032789}\n",
+      " > iteration 69/100, took 0:00:27 (remains: 0:14:24)\n",
+      "   | 0.3110 (best: 0.3195) - {'url|boost': 5.286720241518252, 'body|boost': 0.0, 'expansions|boost': 7.332191858509901, 'expansions_bigrams|boost': 5.3962144568968595}\n",
+      " > iteration 70/100, took 0:00:34 (remains: 0:17:26)\n",
+      "   | 0.3172 (best: 0.3195) - {'url|boost': 4.207302886562034, 'body|boost': 4.4437187845814545, 'expansions|boost': 4.02420895706553, 'expansions_bigrams|boost': 3.212469279198662}\n",
+      " > iteration 71/100, took 0:00:31 (remains: 0:15:20)\n",
+      "   | 0.3048 (best: 0.3195) - {'url|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 0.0, 'expansions_bigrams|boost': 7.815065423370214}\n",
+      " > iteration 72/100, took 0:00:36 (remains: 0:17:04)\n",
+      "   | 0.3153 (best: 0.3195) - {'url|boost': 6.128962912463689, 'body|boost': 10.0, 'expansions|boost': 3.000281707340076, 'expansions_bigrams|boost': 5.668027526741418}\n",
+      " > iteration 73/100, took 0:00:33 (remains: 0:14:52)\n",
+      "   | 0.3157 (best: 0.3195) - {'url|boost': 5.772311906646924, 'body|boost': 4.1921386623286665, 'expansions|boost': 6.922011179501802, 'expansions_bigrams|boost': 3.5628457058377236}\n",
+      " > iteration 74/100, took 0:00:35 (remains: 0:15:26)\n",
+      "   | 0.3058 (best: 0.3195) - {'url|boost': 0.3719050763961496, 'body|boost': 4.836419322623945, 'expansions|boost': 2.1708004575083666, 'expansions_bigrams|boost': 0.08617708281251747}\n",
+      " > iteration 75/100, took 0:00:34 (remains: 0:14:33)\n",
+      "   | 0.3130 (best: 0.3195) - {'url|boost': 0.040240079184080686, 'body|boost': 9.333912087188219, 'expansions|boost': 6.403118876803938, 'expansions_bigrams|boost': 7.2587397302322}\n",
+      " > iteration 76/100, took 0:00:26 (remains: 0:10:45)\n",
+      "   | 0.3032 (best: 0.3195) - {'url|boost': 9.879462107505677, 'body|boost': 0.29242447759043916, 'expansions|boost': 9.725142503722322, 'expansions_bigrams|boost': 0.7909100529548825}\n",
+      " > iteration 77/100, took 0:00:32 (remains: 0:12:26)\n",
+      "   | 0.3037 (best: 0.3195) - {'url|boost': 9.596174008588426, 'body|boost': 6.339397740910256, 'expansions|boost': 1.7035383266615405, 'expansions_bigrams|boost': 9.905029084495222}\n",
+      " > iteration 78/100, took 0:00:33 (remains: 0:12:26)\n",
+      "   | 0.3142 (best: 0.3195) - {'url|boost': 4.953781247764432, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 79/100, took 0:00:34 (remains: 0:12:08)\n",
+      "   | 0.3153 (best: 0.3195) - {'url|boost': 4.363876940255057, 'body|boost': 10.0, 'expansions|boost': 8.41186177886082, 'expansions_bigrams|boost': 6.5621546835024525}\n",
+      " > iteration 80/100, took 0:00:34 (remains: 0:11:29)\n",
+      "   | 0.3188 (best: 0.3195) - {'url|boost': 7.818768259265003, 'body|boost': 10.0, 'expansions|boost': 8.974671504750006, 'expansions_bigrams|boost': 3.684369039327127}\n",
+      " > iteration 81/100, took 0:00:30 (remains: 0:09:42)\n",
+      "   | 0.2981 (best: 0.3195) - {'url|boost': 0.044041583778523526, 'body|boost': 0.2752253666778193, 'expansions|boost': 7.242923354722805, 'expansions_bigrams|boost': 9.887687821657694}\n",
+      " > iteration 82/100, took 0:00:32 (remains: 0:09:38)\n",
+      "   | 0.3164 (best: 0.3195) - {'url|boost': 3.229529630057023, 'body|boost': 3.194707421776353, 'expansions|boost': 5.077508765760684, 'expansions_bigrams|boost': 1.9067766226353537}\n",
+      " > iteration 83/100, took 0:00:33 (remains: 0:09:21)\n",
+      "   | 0.3143 (best: 0.3195) - {'url|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 84/100, took 0:00:29 (remains: 0:07:45)\n",
+      "   | 0.3156 (best: 0.3195) - {'url|boost': 4.956022467527741, 'body|boost': 8.606610802991451, 'expansions|boost': 9.871740519713892, 'expansions_bigrams|boost': 0.28963342256349117}\n",
+      " > iteration 85/100, took 0:00:35 (remains: 0:08:51)\n",
+      "   | 0.3143 (best: 0.3195) - {'url|boost': 6.247393724048854, 'body|boost': 7.423218642753775, 'expansions|boost': 4.5488209805187205, 'expansions_bigrams|boost': 4.493529982645236}\n",
+      " > iteration 86/100, took 0:00:32 (remains: 0:07:33)\n",
+      "   | 0.2981 (best: 0.3195) - {'url|boost': 0.600717518699221, 'body|boost': 9.941242130822419, 'expansions|boost': 0.2600068297458869, 'expansions_bigrams|boost': 9.787456319449818}\n",
+      " > iteration 87/100, took 0:00:35 (remains: 0:07:44)\n",
+      "   | 0.3131 (best: 0.3195) - {'url|boost': 4.325445839485349, 'body|boost': 6.63203027429352, 'expansions|boost': 1.7992966502138987, 'expansions_bigrams|boost': 6.686602958802355}\n",
+      " > iteration 88/100, took 0:00:34 (remains: 0:06:51)\n",
+      "   | 0.3190 (best: 0.3195) - {'url|boost': 3.218319349220416, 'body|boost': 10.0, 'expansions|boost': 8.39785699571928, 'expansions_bigrams|boost': 3.6458845152425674}\n",
+      " > iteration 89/100, took 0:00:29 (remains: 0:05:19)\n",
+      "   | 0.3205 (best: 0.3205) - {'url|boost': 4.26511661681947, 'body|boost': 4.654524305221784, 'expansions|boost': 7.682154479013796, 'expansions_bigrams|boost': 0.9937366618742022}\n",
+      " > iteration 90/100, took 0:00:31 (remains: 0:05:14)\n",
+      "   | 0.3055 (best: 0.3205) - {'url|boost': 9.872007594384451, 'body|boost': 1.6216342361791949, 'expansions|boost': 4.588227681182651, 'expansions_bigrams|boost': 9.799682023322305}\n",
+      " > iteration 91/100, took 0:00:33 (remains: 0:04:59)\n",
+      "   | 0.3076 (best: 0.3205) - {'url|boost': 9.956822098098929, 'body|boost': 9.147578065731313, 'expansions|boost': 9.697260351124603, 'expansions_bigrams|boost': 0.06889636408491386}\n",
+      " > iteration 92/100, took 0:00:29 (remains: 0:03:52)\n",
+      "   | 0.3202 (best: 0.3205) - {'url|boost': 4.5327573787831845, 'body|boost': 5.727022077442159, 'expansions|boost': 8.035305621149625, 'expansions_bigrams|boost': 0.4127878874322406}\n",
+      " > iteration 93/100, took 0:00:34 (remains: 0:04:02)\n",
+      "   | 0.3160 (best: 0.3205) - {'url|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 7.973762672864542, 'expansions_bigrams|boost': 8.318592250570722}\n",
+      " > iteration 94/100, took 0:00:13 (remains: 0:01:21)\n",
+      "   | 0.3068 (best: 0.3205) - {'url|boost': 0.27208950403655235, 'body|boost': 0.819578638272407, 'expansions|boost': 9.971259247685659, 'expansions_bigrams|boost': 1.468968979606993}\n",
+      " > iteration 95/100, took 0:00:35 (remains: 0:02:55)\n",
+      "   | 0.3054 (best: 0.3205) - {'url|boost': 0.51485762496022, 'body|boost': 9.900374025933825, 'expansions|boost': 1.3086101200825708, 'expansions_bigrams|boost': 2.9620529354823693}\n",
+      " > iteration 96/100, took 0:00:35 (remains: 0:02:21)\n",
+      "   | 0.3137 (best: 0.3205) - {'url|boost': 0.42731820842701224, 'body|boost': 3.9679579183781666, 'expansions|boost': 2.7695081535049186, 'expansions_bigrams|boost': 2.468287333264208}\n",
+      " > iteration 97/100, took 0:00:32 (remains: 0:01:38)\n",
+      "   | 0.3092 (best: 0.3205) - {'url|boost': 0.019491760710061982, 'body|boost': 5.602242406475586, 'expansions|boost': 4.667532821539684, 'expansions_bigrams|boost': 9.983713116641278}\n",
+      " > iteration 98/100, took 0:00:29 (remains: 0:00:58)\n",
+      "   | 0.3193 (best: 0.3205) - {'url|boost': 3.8772741723913597, 'body|boost': 5.764680231512717, 'expansions|boost': 7.642569189512022, 'expansions_bigrams|boost': 0.848170271612882}\n",
+      " > iteration 99/100, took 0:00:23 (remains: 0:00:23)\n",
+      "   | 0.3188 (best: 0.3205) - {'url|boost': 4.0408984307918825, 'body|boost': 5.1429075563233315, 'expansions|boost': 8.509608353070817, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 100/100, took 0:00:29 (remains: 0:00:00)\n",
+      "   | 0.3177 (best: 0.3205) - {'url|boost': 4.759221736864234, 'body|boost': 4.681355511211998, 'expansions|boost': 7.863111692843905, 'expansions_bigrams|boost': 1.064330117467514}\n",
+      "Best score: 0.3205\n",
+      "Best params: {'url|boost': 4.26511661681947, 'body|boost': 4.654524305221784, 'expansions|boost': 7.682154479013796, 'expansions_bigrams|boost': 0.9937366618742022}\n",
+      "Final params: {'url|boost': 4.26511661681947, 'body|boost': 4.654524305221784, 'expansions|boost': 7.682154479013796, 'expansions_bigrams|boost': 0.9937366618742022}\n",
+      "\n",
+      "CPU times: user 3min 10s, sys: 34.6 s, total: 3min 45s\n",
+      "Wall time: 53min 22s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
+    "    config_space=Config.parse({\n",
+    "        'method': 'bayesian',\n",
+    "        'num_iterations': 100,\n",
+    "        'num_initial_points': 20,\n",
+    "        'space': {\n",
+    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'expansions|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'expansions_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "        }\n",
+    "    }))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 16 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plot_objective(metadata, sample_source='result')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3383\n",
+      "CPU times: user 1.98 s, sys: 856 ms, total: 2.83 s\n",
+      "Wall time: 3min 45s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'url|boost': 4.26511661681947,\n",
+       " 'body|boost': 4.654524305221784,\n",
+       " 'expansions|boost': 7.682154479013796,\n",
+       " 'expansions_bigrams|boost': 0.9937366618742022}"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_params"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# with 100/20 iterations\n",
+    "# 0.3405\n",
+    "\n",
+    "{\n",
+    "    'url|boost': 5.9772866071225605,\n",
+    "    'body|boost': 10.0,\n",
+    "    'expansions|boost': 10.0,\n",
+    "    'expansions_bigrams|boost': 2.283163846176233\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Machine Learning/Query Optimization/notebooks/doc2query - 4 - linear combo.ipynb b/Machine Learning/Query Optimization/notebooks/doc2query - 4 - linear combo.ipynb
new file mode 100644
index 00000000..199af9be
--- /dev/null
+++ b/Machine Learning/Query Optimization/notebooks/doc2query - 4 - linear combo.ipynb	
@@ -0,0 +1,1512 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Tuning a multi `match` query, linear combination score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import importlib\n",
+    "import os\n",
+    "import sys\n",
+    "\n",
+    "from copy import deepcopy\n",
+    "from elasticsearch import Elasticsearch\n",
+    "from skopt.plots import plot_objective"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# project library\n",
+    "sys.path.insert(0, os.path.abspath('..'))\n",
+    "\n",
+    "import qopt\n",
+    "importlib.reload(qopt)\n",
+    "\n",
+    "from qopt.notebooks import evaluate_mrr100_dev_templated, optimize_query_mrr100_templated, set_bm25_params\n",
+    "from qopt.optimize import Config"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Setting BM25 params fields:\n",
+      " - url: {'k1': 0.33066956222950633, 'b': 0.9589101032169087}\n",
+      " - title: {'k1': 0.34885436112727763, 'b': 1.0}\n",
+      " - title.bigrams: {'k1': 1.2, 'b': 0.75}\n",
+      " - body: {'k1': 3.0128735487205525, 'b': 0.8200709176657588}\n",
+      " - body.bigrams: {'k1': 1.9100199633100623, 'b': 0.7336619962002098}\n",
+      " - expansions: {'k1': 4.870954366799399, 'b': 0.9249613913608172}\n",
+      " - expansions.bigrams: {'k1': 1.2, 'b': 0.75}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# use a local Elasticsearch or Cloud instance (https://cloud.elastic.co/)\n",
+    "es = Elasticsearch('http://localhost:9200')\n",
+    "\n",
+    "# set the parallelization parameter `max_concurrent_searches` for the Rank Evaluation API calls\n",
+    "max_concurrent_searches = 10\n",
+    "\n",
+    "index = 'msmarco-document.doc2query'\n",
+    "template_id = 'query'\n",
+    "\n",
+    "# set best BM25 params\n",
+    "set_bm25_params(es, index, [\n",
+    "    ('url', {'k1': 0.33066956222950633, 'b': 0.9589101032169087}), # 0.2201\n",
+    "    ('title', {'k1': 0.34885436112727763, 'b': 1.0}), # 0.2354\n",
+    "    ('title.bigrams', {'k1': 1.2, 'b': 0.75}), # 0.1295\n",
+    "    ('body', {'k1': 3.0128735487205525, 'b': 0.8200709176657588}), # 0.2645\n",
+    "    ('body.bigrams', {'k1': 1.9100199633100623, 'b': 0.7336619962002098}), # 0.2045\n",
+    "    ('expansions', {'k1': 4.870954366799399, 'b': 0.9249613913608172}), # 0.3220\n",
+    "    ('expansions.bigrams', {'k1': 1.2, 'b': 0.75}) # 0.2837\n",
+    "])\n",
+    "\n",
+    "# base template for tuning\n",
+    "base_templates = [{\n",
+    "    \"id\": template_id,\n",
+    "    \"template\": {\n",
+    "        \"lang\": \"mustache\",\n",
+    "        \"source\": { \"query\": {} }\n",
+    "    }\n",
+    "}]\n",
+    "\n",
+    "def match_query(name):\n",
+    "    return {\n",
+    "        \"match\": {\n",
+    "            name: {\n",
+    "                \"query\": \"{{query_string}}\",\n",
+    "                \"boost\": \"{{\" + name.replace('.', '_') + \"|boost}}\",\n",
+    "            },\n",
+    "        },\n",
+    "    }"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Experiments"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Base fields"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_field_names = [\n",
+    "    'url',\n",
+    "    'title',\n",
+    "    'body',\n",
+    "]\n",
+    "_templates = deepcopy(base_templates)\n",
+    "_match_queries = [match_query(x) for x in _field_names]\n",
+    "_templates[0]['template']['source']['query']['bool'] = { 'should': _match_queries }"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2866\n",
+      "CPU times: user 1.77 s, sys: 455 ms, total: 2.23 s\n",
+      "Wall time: 2min 9s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
+    "    'url|boost': 1.0,\n",
+    "    'title|boost': 1.0,\n",
+    "    'body|boost': 1.0,\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 1/50, took 0:00:32 (remains: 0:26:47)\n",
+      "   | 0.2653 (best: 0.2653) - {'url|boost': 2.4655500378357047, 'title|boost': 2.107829960621424, 'body|boost': 3.103734494692036}\n",
+      " > iteration 2/50, took 0:00:20 (remains: 0:16:13)\n",
+      "   | 0.2563 (best: 0.2653) - {'url|boost': 9.579021603479642, 'title|boost': 5.24245833820261, 'body|boost': 5.517848683453418}\n",
+      " > iteration 3/50, took 0:00:17 (remains: 0:13:28)\n",
+      "   | 0.2597 (best: 0.2653) - {'url|boost': 2.0496250657292063, 'title|boost': 9.994536752252772, 'body|boost': 5.763678016376662}\n",
+      " > iteration 4/50, took 0:00:16 (remains: 0:12:45)\n",
+      "   | 0.2479 (best: 0.2653) - {'url|boost': 0.13237918169020538, 'title|boost': 0.426157161134152, 'body|boost': 9.629915818745612}\n",
+      " > iteration 5/50, took 0:00:21 (remains: 0:15:51)\n",
+      "   | 0.2639 (best: 0.2653) - {'url|boost': 0.42700619900124753, 'title|boost': 8.030166341086698, 'body|boost': 3.9117577624858955}\n",
+      " > iteration 6/50, took 0:00:08 (remains: 0:06:35)\n",
+      "   | 0.2296 (best: 0.2653) - {'url|boost': 4.556794951046422, 'title|boost': 7.773364342036237, 'body|boost': 0.9097477407205014}\n",
+      " > iteration 7/50, took 0:00:18 (remains: 0:13:01)\n",
+      "   | 0.2699 (best: 0.2699) - {'url|boost': 2.800772629078559, 'title|boost': 2.326798001901525, 'body|boost': 5.743169011896471}\n",
+      " > iteration 8/50, took 0:00:07 (remains: 0:05:10)\n",
+      "   | 0.2303 (best: 0.2699) - {'url|boost': 0.5777354338144659, 'title|boost': 6.084480449900365, 'body|boost': 0.2693961076591867}\n",
+      " > iteration 9/50, took 0:00:07 (remains: 0:05:19)\n",
+      "   | 0.2287 (best: 0.2699) - {'url|boost': 8.306603998607216, 'title|boost': 8.939763167237228, 'body|boost': 1.1820314372525433}\n",
+      " > iteration 10/50, took 0:00:13 (remains: 0:08:44)\n",
+      "   | 0.2491 (best: 0.2699) - {'url|boost': 7.85314451472072, 'title|boost': 2.878357754220176, 'body|boost': 3.104337411476143}\n",
+      " > iteration 11/50, took 0:00:17 (remains: 0:11:05)\n",
+      "   | 0.2629 (best: 0.2699) - {'url|boost': 6.078264270206375, 'title|boost': 6.662947807527217, 'body|boost': 6.717423950332203}\n",
+      " > iteration 12/50, took 0:00:11 (remains: 0:07:34)\n",
+      "   | 0.2310 (best: 0.2699) - {'url|boost': 9.395668290598415, 'title|boost': 9.432611241010282, 'body|boost': 1.4467435390380892}\n",
+      " > iteration 13/50, took 0:00:18 (remains: 0:11:27)\n",
+      "   | 0.2715 (best: 0.2715) - {'url|boost': 1.408018150783791, 'title|boost': 1.8503552197887365, 'body|boost': 7.343860658830571}\n",
+      " > iteration 14/50, took 0:00:17 (remains: 0:10:28)\n",
+      "   | 0.2582 (best: 0.2715) - {'url|boost': 8.315266288754218, 'title|boost': 5.30522685637283, 'body|boost': 5.765369337542026}\n",
+      " > iteration 15/50, took 0:00:09 (remains: 0:05:15)\n",
+      "   | 0.2350 (best: 0.2715) - {'url|boost': 6.318898080758189, 'title|boost': 7.01514743201578, 'body|boost': 1.3014016108707773}\n",
+      " > iteration 16/50, took 0:00:15 (remains: 0:08:42)\n",
+      "   | 0.2529 (best: 0.2715) - {'url|boost': 7.068589561598655, 'title|boost': 0.7419865405143024, 'body|boost': 3.0487556553443333}\n",
+      " > iteration 17/50, took 0:00:20 (remains: 0:11:32)\n",
+      "   | 0.2625 (best: 0.2715) - {'url|boost': 7.828044333324835, 'title|boost': 7.982922741620049, 'body|boost': 7.931236616814995}\n",
+      " > iteration 18/50, took 0:00:19 (remains: 0:10:31)\n",
+      "   | 0.2662 (best: 0.2715) - {'url|boost': 8.297281918629189, 'title|boost': 5.717573661841638, 'body|boost': 9.661695964925824}\n",
+      " > iteration 19/50, took 0:00:16 (remains: 0:08:18)\n",
+      "   | 0.2483 (best: 0.2715) - {'url|boost': 5.990599913998885, 'title|boost': 2.804564732452785, 'body|boost': 2.1284594451645606}\n",
+      " > iteration 20/50, took 0:00:22 (remains: 0:11:29)\n",
+      "   | 0.2688 (best: 0.2715) - {'url|boost': 2.6634180196974016, 'title|boost': 9.238792795151976, 'body|boost': 9.546693515018093}\n",
+      " > iteration 21/50, took 0:00:09 (remains: 0:04:41)\n",
+      "   | 0.2407 (best: 0.2715) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 4.522742797563552}\n",
+      " > iteration 22/50, took 0:00:12 (remains: 0:06:03)\n",
+      "   | 0.2737 (best: 0.2737) - {'url|boost': 0.0, 'title|boost': 3.352102507215377, 'body|boost': 10.0}\n",
+      " > iteration 23/50, took 0:00:22 (remains: 0:09:55)\n",
+      "   | 0.2759 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 7.356068193396096, 'body|boost': 10.0}\n",
+      " > iteration 24/50, took 0:00:20 (remains: 0:08:42)\n",
+      "   | 0.2643 (best: 0.2759) - {'url|boost': 10.0, 'title|boost': 2.6167667919541016, 'body|boost': 10.0}\n",
+      " > iteration 25/50, took 0:00:19 (remains: 0:08:00)\n",
+      "   | 0.2729 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 5.282046692970697, 'body|boost': 10.0}\n",
+      " > iteration 26/50, took 0:00:20 (remains: 0:08:01)\n",
+      "   | 0.2696 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 8.276802137359558, 'body|boost': 7.611062554477476}\n",
+      " > iteration 27/50, took 0:00:13 (remains: 0:05:15)\n",
+      "   | 0.2097 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 0.6601503417971408, 'body|boost': 0.0}\n",
+      " > iteration 28/50, took 0:00:22 (remains: 0:08:17)\n",
+      "   | 0.2703 (best: 0.2759) - {'url|boost': 3.4404033787822215, 'title|boost': 4.536375337425275, 'body|boost': 10.0}\n",
+      " > iteration 29/50, took 0:00:19 (remains: 0:06:42)\n",
+      "   | 0.2729 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 3.834547636088619, 'body|boost': 7.258289808242301}\n",
+      " > iteration 30/50, took 0:00:16 (remains: 0:05:28)\n",
+      "   | 0.2735 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 2.836922644824168, 'body|boost': 8.24604562164935}\n",
+      " > iteration 31/50, took 0:00:20 (remains: 0:06:25)\n",
+      "   | 0.2688 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 5.739103511336964, 'body|boost': 5.093098937107044}\n",
+      " > iteration 32/50, took 0:00:21 (remains: 0:06:23)\n",
+      "   | 0.2625 (best: 0.2759) - {'url|boost': 10.0, 'title|boost': 10.0, 'body|boost': 10.0}\n",
+      " > iteration 33/50, took 0:00:20 (remains: 0:05:42)\n",
+      "   | 0.2634 (best: 0.2759) - {'url|boost': 10.0, 'title|boost': 0.5542463342239206, 'body|boost': 7.249424719871511}\n",
+      " > iteration 34/50, took 0:00:22 (remains: 0:06:01)\n",
+      "   | 0.2725 (best: 0.2759) - {'url|boost': 0.5475568436042112, 'title|boost': 9.886540275804403, 'body|boost': 9.876803615088031}\n",
+      " > iteration 35/50, took 0:00:19 (remains: 0:04:51)\n",
+      "   | 0.2741 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 8.323533776422696, 'body|boost': 10.0}\n",
+      " > iteration 36/50, took 0:00:21 (remains: 0:04:55)\n",
+      "   | 0.2745 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 6.625786665169419, 'body|boost': 10.0}\n",
+      " > iteration 37/50, took 0:00:19 (remains: 0:04:14)\n",
+      "   | 0.2708 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 3.6994024639760443, 'body|boost': 4.003664379199845}\n",
+      " > iteration 38/50, took 0:00:14 (remains: 0:02:59)\n",
+      "   | 0.2759 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 2.373407770931073, 'body|boost': 5.167387216431255}\n",
+      " > iteration 39/50, took 0:00:18 (remains: 0:03:22)\n",
+      "   | 0.2742 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 2.80965642603826, 'body|boost': 5.729507729395368}\n",
+      " > iteration 40/50, took 0:00:16 (remains: 0:02:43)\n",
+      "   | 0.2740 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 1.881147774067523, 'body|boost': 5.32116582865}\n",
+      " > iteration 41/50, took 0:00:23 (remains: 0:03:28)\n",
+      "   | 0.2676 (best: 0.2759) - {'url|boost': 9.833327970371672, 'title|boost': 0.21562632450229605, 'body|boost': 9.855035453477937}\n",
+      " > iteration 42/50, took 0:00:19 (remains: 0:02:33)\n",
+      "   | 0.2737 (best: 0.2759) - {'url|boost': 0.0, 'title|boost': 2.4885750057607097, 'body|boost': 4.589703184592915}\n",
+      " > iteration 43/50, took 0:00:21 (remains: 0:02:33)\n",
+      "   | 0.2764 (best: 0.2764) - {'url|boost': 0.0, 'title|boost': 7.4224836373211005, 'body|boost': 10.0}\n",
+      " > iteration 44/50, took 0:00:22 (remains: 0:02:13)\n",
+      "   | 0.2764 (best: 0.2764) - {'url|boost': 0.0, 'title|boost': 7.440105571079309, 'body|boost': 10.0}\n",
+      " > iteration 45/50, took 0:00:13 (remains: 0:01:06)\n",
+      "   | 0.2281 (best: 0.2764) - {'url|boost': 0.1712761979725286, 'title|boost': 9.951037647668969, 'body|boost': 0.37954183708532546}\n",
+      " > iteration 46/50, took 0:00:23 (remains: 0:01:34)\n",
+      "   | 0.2718 (best: 0.2764) - {'url|boost': 2.045431013738626, 'title|boost': 7.378246273655503, 'body|boost': 10.0}\n",
+      " > iteration 47/50, took 0:00:20 (remains: 0:01:02)\n",
+      "   | 0.2761 (best: 0.2764) - {'url|boost': 0.0, 'title|boost': 2.3452599237687966, 'body|boost': 6.199906195889553}\n",
+      " > iteration 48/50, took 0:00:23 (remains: 0:00:47)\n",
+      "   | 0.2558 (best: 0.2764) - {'url|boost': 9.882348081861098, 'title|boost': 9.92370234508859, 'body|boost': 6.898559063079546}\n",
+      " > iteration 49/50, took 0:00:23 (remains: 0:00:23)\n",
+      "   | 0.2640 (best: 0.2764) - {'url|boost': 9.939455523318706, 'title|boost': 7.276086896158511, 'body|boost': 9.835561737848025}\n",
+      " > iteration 50/50, took 0:00:26 (remains: 0:00:00)\n",
+      "   | 0.2753 (best: 0.2764) - {'url|boost': 0.01712137224651911, 'title|boost': 6.254095382919132, 'body|boost': 7.661056590220924}\n",
+      "Best score: 0.2764\n",
+      "Best params: {'url|boost': 0.0, 'title|boost': 7.4224836373211005, 'body|boost': 10.0}\n",
+      "Final params: {'url|boost': 0.0, 'title|boost': 7.4224836373211005, 'body|boost': 10.0}\n",
+      "\n",
+      "CPU times: user 1min 8s, sys: 16.5 s, total: 1min 24s\n",
+      "Wall time: 15min 21s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
+    "    config_space=Config.parse({\n",
+    "        'method': 'bayesian',\n",
+    "        'num_iterations': 50,\n",
+    "        'num_initial_points': 20,\n",
+    "        'space': {\n",
+    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "        }\n",
+    "    }))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 9 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plot_objective(metadata, sample_source='result')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2976\n",
+      "CPU times: user 2.1 s, sys: 658 ms, total: 2.76 s\n",
+      "Wall time: 2min 25s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'url|boost': 0.0, 'title|boost': 7.4224836373211005, 'body|boost': 10.0}"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_params"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Base fields + bigrams"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_field_names = [\n",
+    "    'url',\n",
+    "    'title', 'title.bigrams',\n",
+    "    'body', 'body.bigrams',\n",
+    "]\n",
+    "_templates = deepcopy(base_templates)\n",
+    "_match_queries = [match_query(x) for x in _field_names]\n",
+    "_templates[0]['template']['source']['query']['bool'] = { 'should': _match_queries }"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2696\n",
+      "CPU times: user 2 s, sys: 469 ms, total: 2.47 s\n",
+      "Wall time: 5min 17s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
+    "    'url|boost': 1.0,\n",
+    "    'title|boost': 1.0,\n",
+    "    'title_bigrams|boost': 1.0,\n",
+    "    'body|boost': 1.0,\n",
+    "    'body_bigrams|boost': 1.0,\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 1/50, took 0:01:07 (remains: 0:55:19)\n",
+      "   | 0.2514 (best: 0.2514) - {'url|boost': 5.3156102464480615, 'title|boost': 6.093117674508318, 'title_bigrams|boost': 0.0980657889274872, 'body|boost': 3.5926238667815364, 'body_bigrams|boost': 7.439154932530904}\n",
+      " > iteration 2/50, took 0:01:09 (remains: 0:55:14)\n",
+      "   | 0.2504 (best: 0.2514) - {'url|boost': 9.454092716557145, 'title|boost': 4.911697195266615, 'title_bigrams|boost': 2.6443576650498883, 'body|boost': 2.873032552074825, 'body_bigrams|boost': 5.429867134003954}\n",
+      " > iteration 3/50, took 0:01:15 (remains: 0:58:51)\n",
+      "   | 0.2591 (best: 0.2591) - {'url|boost': 9.189714620484683, 'title|boost': 0.08193572562694153, 'title_bigrams|boost': 3.3200856235436267, 'body|boost': 8.389343184645242, 'body_bigrams|boost': 0.9512096420261409}\n",
+      " > iteration 4/50, took 0:01:11 (remains: 0:54:59)\n",
+      "   | 0.2487 (best: 0.2591) - {'url|boost': 2.3996011929192678, 'title|boost': 4.121305251700149, 'title_bigrams|boost': 3.6309972544061635, 'body|boost': 3.0731592561203684, 'body_bigrams|boost': 4.140896402740276}\n",
+      " > iteration 5/50, took 0:01:11 (remains: 0:53:46)\n",
+      "   | 0.2512 (best: 0.2591) - {'url|boost': 2.967143995777797, 'title|boost': 8.214448408963616, 'title_bigrams|boost': 8.455765027061988, 'body|boost': 8.949912304733491, 'body_bigrams|boost': 8.556409057755188}\n",
+      " > iteration 6/50, took 0:01:14 (remains: 0:54:56)\n",
+      "   | 0.2349 (best: 0.2591) - {'url|boost': 6.906322252608211, 'title|boost': 7.394486808020364, 'title_bigrams|boost': 6.033126831757496, 'body|boost': 2.2231605412479434, 'body_bigrams|boost': 5.707017287411232}\n",
+      " > iteration 7/50, took 0:01:13 (remains: 0:52:29)\n",
+      "   | 0.2242 (best: 0.2591) - {'url|boost': 3.5767102970167692, 'title|boost': 9.886758286598157, 'title_bigrams|boost': 6.736492814751465, 'body|boost': 0.9910897087692818, 'body_bigrams|boost': 4.722571133366352}\n",
+      " > iteration 8/50, took 0:01:16 (remains: 0:53:24)\n",
+      "   | 0.2471 (best: 0.2591) - {'url|boost': 9.915749340337959, 'title|boost': 6.775233365910269, 'title_bigrams|boost': 3.5913757507698634, 'body|boost': 3.1192251977435865, 'body_bigrams|boost': 7.745368182222022}\n",
+      " > iteration 9/50, took 0:01:16 (remains: 0:52:24)\n",
+      "   | 0.2507 (best: 0.2591) - {'url|boost': 0.2216854682182601, 'title|boost': 7.991493648923563, 'title_bigrams|boost': 9.715599672339826, 'body|boost': 9.825189087254543, 'body_bigrams|boost': 8.677643184872615}\n",
+      " > iteration 10/50, took 0:01:14 (remains: 0:49:49)\n",
+      "   | 0.2329 (best: 0.2591) - {'url|boost': 8.424111029807275, 'title|boost': 8.364457438151602, 'title_bigrams|boost': 5.760479186369768, 'body|boost': 0.7960325099804978, 'body_bigrams|boost': 8.780067356306468}\n",
+      " > iteration 11/50, took 0:01:13 (remains: 0:47:47)\n",
+      "   | 0.2609 (best: 0.2609) - {'url|boost': 6.660551097912424, 'title|boost': 9.32888280955267, 'title_bigrams|boost': 0.6605159420798968, 'body|boost': 9.006816053460788, 'body_bigrams|boost': 9.481897394537137}\n",
+      " > iteration 12/50, took 0:01:12 (remains: 0:45:45)\n",
+      "   | 0.2488 (best: 0.2609) - {'url|boost': 9.072288338175383, 'title|boost': 9.081735042409276, 'title_bigrams|boost': 2.943176562179071, 'body|boost': 3.957521386241467, 'body_bigrams|boost': 6.250680127332132}\n",
+      " > iteration 13/50, took 0:01:15 (remains: 0:46:36)\n",
+      "   | 0.2380 (best: 0.2609) - {'url|boost': 5.8089144002207025, 'title|boost': 3.285386276420667, 'title_bigrams|boost': 6.8238103205826794, 'body|boost': 5.256415674333153, 'body_bigrams|boost': 1.2019226027746568}\n",
+      " > iteration 14/50, took 0:01:18 (remains: 0:46:56)\n",
+      "   | 0.2416 (best: 0.2609) - {'url|boost': 8.169208871957569, 'title|boost': 9.552749859956084, 'title_bigrams|boost': 0.9250214938901237, 'body|boost': 1.1226715859479588, 'body_bigrams|boost': 2.4094248659509248}\n",
+      " > iteration 15/50, took 0:01:11 (remains: 0:41:44)\n",
+      "   | 0.2493 (best: 0.2609) - {'url|boost': 4.1838782663073015, 'title|boost': 6.93890259288057, 'title_bigrams|boost': 6.192359363997388, 'body|boost': 6.075407435283892, 'body_bigrams|boost': 5.526263939395369}\n",
+      " > iteration 16/50, took 0:01:19 (remains: 0:44:46)\n",
+      "   | 0.2344 (best: 0.2609) - {'url|boost': 3.487759032409918, 'title|boost': 0.6961137685823527, 'title_bigrams|boost': 1.3822729328305818, 'body|boost': 2.467277274861162, 'body_bigrams|boost': 7.753912376292239}\n",
+      " > iteration 17/50, took 0:01:18 (remains: 0:43:03)\n",
+      "   | 0.2573 (best: 0.2609) - {'url|boost': 3.2935065109711776, 'title|boost': 3.4088648603862333, 'title_bigrams|boost': 5.698203403993649, 'body|boost': 7.782534507562941, 'body_bigrams|boost': 1.54110448828125}\n",
+      " > iteration 18/50, took 0:01:12 (remains: 0:38:32)\n",
+      "   | 0.2445 (best: 0.2609) - {'url|boost': 3.572266523226752, 'title|boost': 0.9276307357577974, 'title_bigrams|boost': 8.023512959964426, 'body|boost': 7.657397995514133, 'body_bigrams|boost': 8.255831732996521}\n",
+      " > iteration 19/50, took 0:01:21 (remains: 0:42:01)\n",
+      "   | 0.2572 (best: 0.2609) - {'url|boost': 1.8471224852477743, 'title|boost': 1.4083023285561516, 'title_bigrams|boost': 1.888742894659274, 'body|boost': 5.4944291217492065, 'body_bigrams|boost': 4.549259722703166}\n",
+      " > iteration 20/50, took 0:01:18 (remains: 0:39:09)\n",
+      "   | 0.2205 (best: 0.2609) - {'url|boost': 7.213032867177805, 'title|boost': 9.173043472818646, 'title_bigrams|boost': 8.2729265604401, 'body|boost': 3.348745897113625, 'body_bigrams|boost': 0.6424193705323856}\n",
+      " > iteration 21/50, took 0:01:12 (remains: 0:35:16)\n",
+      "   | 0.2711 (best: 0.2711) - {'url|boost': 0.0, 'title|boost': 3.7914240624143023, 'title_bigrams|boost': 2.582782787321282, 'body|boost': 10.0, 'body_bigrams|boost': 3.1561456449528915}\n",
+      " > iteration 22/50, took 0:01:21 (remains: 0:38:04)\n",
+      "   | 0.2755 (best: 0.2755) - {'url|boost': 0.0, 'title|boost': 6.860528080418334, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 23/50, took 0:01:21 (remains: 0:36:37)\n",
+      "   | 0.2625 (best: 0.2755) - {'url|boost': 10.0, 'title|boost': 4.438205171164491, 'title_bigrams|boost': 0.0, 'body|boost': 8.380906846149426, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 24/50, took 0:01:20 (remains: 0:34:49)\n",
+      "   | 0.2685 (best: 0.2755) - {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 1.4883236071416288, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 25/50, took 0:01:20 (remains: 0:33:39)\n",
+      "   | 0.2619 (best: 0.2755) - {'url|boost': 2.5457535666079063, 'title|boost': 0.24367067687062544, 'title_bigrams|boost': 0.13853464285092823, 'body|boost': 9.9628883545559, 'body_bigrams|boost': 1.7005418414971032}\n",
+      " > iteration 26/50, took 0:01:22 (remains: 0:32:50)\n",
+      "   | 0.2735 (best: 0.2755) - {'url|boost': 0.0, 'title|boost': 7.578479976652321, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 3.474175818888824}\n",
+      " > iteration 27/50, took 0:01:12 (remains: 0:27:58)\n",
+      "   | 0.2746 (best: 0.2755) - {'url|boost': 0.0, 'title|boost': 5.865744349135694, 'title_bigrams|boost': 0.7506055686253876, 'body|boost': 8.465109338146823, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 28/50, took 0:01:12 (remains: 0:26:43)\n",
+      "   | 0.2760 (best: 0.2760) - {'url|boost': 0.0, 'title|boost': 5.708542725216014, 'title_bigrams|boost': 1.257078004485024, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 29/50, took 0:01:19 (remains: 0:27:55)\n",
+      "   | 0.2573 (best: 0.2760) - {'url|boost': 8.502712791766605, 'title|boost': 2.00282799960487, 'title_bigrams|boost': 2.5117697951559808, 'body|boost': 9.985556612554442, 'body_bigrams|boost': 9.315834248716254}\n",
+      " > iteration 30/50, took 0:01:19 (remains: 0:26:33)\n",
+      "   | 0.2740 (best: 0.2760) - {'url|boost': 0.0, 'title|boost': 5.0260475585488065, 'title_bigrams|boost': 0.1368426025145331, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 31/50, took 0:01:16 (remains: 0:24:17)\n",
+      "   | 0.2610 (best: 0.2760) - {'url|boost': 0.30058499072858186, 'title|boost': 9.933738611646332, 'title_bigrams|boost': 2.9663270471274656, 'body|boost': 9.754420153605565, 'body_bigrams|boost': 8.918000026696134}\n",
+      " > iteration 32/50, took 0:01:19 (remains: 0:23:50)\n",
+      "   | 0.2560 (best: 0.2760) - {'url|boost': 9.230719381166562, 'title|boost': 8.639222631129131, 'title_bigrams|boost': 4.576743458572738, 'body|boost': 9.948482854349557, 'body_bigrams|boost': 0.0014150979623572815}\n",
+      " > iteration 33/50, took 0:01:11 (remains: 0:20:21)\n",
+      "   | 0.2361 (best: 0.2760) - {'url|boost': 0.1837093498206144, 'title|boost': 0.12612006964138892, 'title_bigrams|boost': 9.738759515000716, 'body|boost': 9.876152553058033, 'body_bigrams|boost': 0.05485703373486973}\n",
+      " > iteration 34/50, took 0:01:17 (remains: 0:20:41)\n",
+      "   | 0.2118 (best: 0.2760) - {'url|boost': 6.2856492556847074, 'title|boost': 0.06387836175984708, 'title_bigrams|boost': 9.468644305243647, 'body|boost': 0.3342996066731941, 'body_bigrams|boost': 9.66269281567741}\n",
+      " > iteration 35/50, took 0:01:20 (remains: 0:20:03)\n",
+      "   | 0.2746 (best: 0.2760) - {'url|boost': 0.0, 'title|boost': 6.424387574044844, 'title_bigrams|boost': 1.1983773328911989, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 36/50, took 0:01:20 (remains: 0:18:50)\n",
+      "   | 0.2769 (best: 0.2769) - {'url|boost': 0.0, 'title|boost': 7.173378096784241, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 37/50, took 0:01:19 (remains: 0:17:10)\n",
+      "   | 0.2512 (best: 0.2769) - {'url|boost': 0.24478482332547463, 'title|boost': 5.20749858512768, 'title_bigrams|boost': 0.6584266671877516, 'body|boost': 9.382467294658102, 'body_bigrams|boost': 9.933010308016097}\n",
+      " > iteration 38/50, took 0:01:17 (remains: 0:15:30)\n",
+      "   | 0.2771 (best: 0.2771) - {'url|boost': 0.0, 'title|boost': 6.858095392186523, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 1.1023075601019108}\n",
+      " > iteration 39/50, took 0:01:16 (remains: 0:13:59)\n",
+      "   | 0.2358 (best: 0.2771) - {'url|boost': 1.9301902810656908, 'title|boost': 0.1383687212387186, 'title_bigrams|boost': 0.6182461489481096, 'body|boost': 0.18976230630002092, 'body_bigrams|boost': 1.0622219714162164}\n",
+      " > iteration 40/50, took 0:01:20 (remains: 0:13:28)\n",
+      "   | 0.2655 (best: 0.2771) - {'url|boost': 9.457111568010903, 'title|boost': 9.665052470886476, 'title_bigrams|boost': 0.14126203957710695, 'body|boost': 9.861129314158728, 'body_bigrams|boost': 3.446750174372599}\n",
+      " > iteration 41/50, took 0:01:13 (remains: 0:10:57)\n",
+      "   | 0.2480 (best: 0.2771) - {'url|boost': 9.739038204799929, 'title|boost': 4.545343466707301, 'title_bigrams|boost': 9.988906206955395, 'body|boost': 9.611635804317265, 'body_bigrams|boost': 7.642583101989019}\n",
+      " > iteration 42/50, took 0:01:22 (remains: 0:10:58)\n",
+      "   | 0.2622 (best: 0.2771) - {'url|boost': 9.613664472168653, 'title|boost': 3.4605674819377326, 'title_bigrams|boost': 0.7461899998139444, 'body|boost': 9.995448774105602, 'body_bigrams|boost': 4.320933378072555}\n",
+      " > iteration 43/50, took 0:01:13 (remains: 0:08:36)\n",
+      "   | 0.2662 (best: 0.2771) - {'url|boost': 0.005328217335915931, 'title|boost': 7.434007805185966, 'title_bigrams|boost': 0.04997250519071628, 'body|boost': 5.382662366556907, 'body_bigrams|boost': 0.02204549673216816}\n",
+      " > iteration 44/50, took 0:01:12 (remains: 0:07:17)\n",
+      "   | 0.2763 (best: 0.2771) - {'url|boost': 0.0, 'title|boost': 7.271031817816612, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.6931952380444943}\n",
+      " > iteration 45/50, took 0:01:20 (remains: 0:06:42)\n",
+      "   | 0.2575 (best: 0.2771) - {'url|boost': 9.84453994679927, 'title|boost': 8.916031389580239, 'title_bigrams|boost': 4.241345219889421, 'body|boost': 9.855493912658348, 'body_bigrams|boost': 9.992878147378358}\n",
+      " > iteration 46/50, took 0:01:13 (remains: 0:04:54)\n",
+      "   | 0.2418 (best: 0.2771) - {'url|boost': 0.7622652122873476, 'title|boost': 7.735695455664481, 'title_bigrams|boost': 9.784318868316536, 'body|boost': 9.995374528348634, 'body_bigrams|boost': 0.20633033534437464}\n",
+      " > iteration 47/50, took 0:01:22 (remains: 0:04:07)\n",
+      "   | 0.2762 (best: 0.2771) - {'url|boost': 0.0, 'title|boost': 7.2977367351272076, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0}\n",
+      " > iteration 48/50, took 0:01:20 (remains: 0:02:40)\n",
+      "   | 0.2385 (best: 0.2771) - {'url|boost': 0.1991836679066528, 'title|boost': 9.592775519017126, 'title_bigrams|boost': 0.4445710302292339, 'body|boost': 0.2223360168294353, 'body_bigrams|boost': 9.908977109266157}\n",
+      " > iteration 49/50, took 0:01:21 (remains: 0:01:21)\n",
+      "   | 0.2765 (best: 0.2771) - {'url|boost': 0.0, 'title|boost': 7.202022650836014, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.8970070922228518}\n",
+      " > iteration 50/50, took 0:01:20 (remains: 0:00:00)\n",
+      "   | 0.2489 (best: 0.2771) - {'url|boost': 9.02767044842631, 'title|boost': 9.674531542045692, 'title_bigrams|boost': 9.589344821238292, 'body|boost': 8.662683294286726, 'body_bigrams|boost': 9.8946420698318}\n",
+      "Best score: 0.2771\n",
+      "Best params: {'url|boost': 0.0, 'title|boost': 6.858095392186523, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 1.1023075601019108}\n",
+      "Final params: {'url|boost': 0.0, 'title|boost': 6.858095392186523, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 1.1023075601019108}\n",
+      "\n",
+      "CPU times: user 1min 9s, sys: 15.3 s, total: 1min 25s\n",
+      "Wall time: 1h 3min 58s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
+    "    config_space=Config.parse({\n",
+    "        'method': 'bayesian',\n",
+    "        'num_iterations': 50,\n",
+    "        'num_initial_points': 20,\n",
+    "        'space': {\n",
+    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "        }\n",
+    "    }))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 25 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plot_objective(metadata, sample_source='result')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.2982\n",
+      "CPU times: user 1.79 s, sys: 715 ms, total: 2.5 s\n",
+      "Wall time: 5min 42s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'url|boost': 0.0,\n",
+       " 'title|boost': 6.858095392186523,\n",
+       " 'title_bigrams|boost': 0.0,\n",
+       " 'body|boost': 10.0,\n",
+       " 'body_bigrams|boost': 1.1023075601019108}"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_params"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Base fields + expansions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_field_names = [\n",
+    "    'url',\n",
+    "    'title',\n",
+    "    'body',\n",
+    "    'expansions',\n",
+    "]\n",
+    "_templates = deepcopy(base_templates)\n",
+    "_match_queries = [match_query(x) for x in _field_names]\n",
+    "_templates[0]['template']['source']['query']['bool'] = { 'should': _match_queries }"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3269\n",
+      "CPU times: user 2.45 s, sys: 853 ms, total: 3.3 s\n",
+      "Wall time: 3min\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
+    "    'url|boost': 1.0,\n",
+    "    'title|boost': 1.0,\n",
+    "    'body|boost': 1.0,\n",
+    "    'expansions|boost': 1.0,\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 1/50, took 0:00:41 (remains: 0:33:41)\n",
+      "   | 0.2794 (best: 0.2794) - {'url|boost': 6.9748458742167525, 'title|boost': 4.238706364735894, 'body|boost': 0.17615276307859198, 'expansions|boost': 3.568841146789576}\n",
+      " > iteration 2/50, took 0:00:34 (remains: 0:27:15)\n",
+      "   | 0.2908 (best: 0.2908) - {'url|boost': 6.805907666457688, 'title|boost': 7.393400222581557, 'body|boost': 2.8558504745598317, 'expansions|boost': 6.388968299508182}\n",
+      " > iteration 3/50, took 0:00:28 (remains: 0:22:26)\n",
+      "   | 0.3000 (best: 0.3000) - {'url|boost': 8.996924770640076, 'title|boost': 0.7295872361530144, 'body|boost': 9.964784380131032, 'expansions|boost': 4.80824836418291}\n",
+      " > iteration 4/50, took 0:00:33 (remains: 0:25:20)\n",
+      "   | 0.2660 (best: 0.3000) - {'url|boost': 7.438274874059886, 'title|boost': 3.991898988888561, 'body|boost': 4.620734859466459, 'expansions|boost': 0.49201529444826375}\n",
+      " > iteration 5/50, took 0:00:30 (remains: 0:22:49)\n",
+      "   | 0.3178 (best: 0.3178) - {'url|boost': 2.9994919118233505, 'title|boost': 3.411492066471435, 'body|boost': 7.3805487925289635, 'expansions|boost': 9.54212846738085}\n",
+      " > iteration 6/50, took 0:00:35 (remains: 0:26:07)\n",
+      "   | 0.3028 (best: 0.3178) - {'url|boost': 2.2575818515661332, 'title|boost': 8.143950703948239, 'body|boost': 9.357261690585817, 'expansions|boost': 3.8713921464253156}\n",
+      " > iteration 7/50, took 0:00:33 (remains: 0:23:49)\n",
+      "   | 0.2774 (best: 0.3178) - {'url|boost': 4.228666746775879, 'title|boost': 8.062313786948545, 'body|boost': 4.70860588392577, 'expansions|boost': 1.2463130677227676}\n",
+      " > iteration 8/50, took 0:00:32 (remains: 0:22:47)\n",
+      "   | 0.2872 (best: 0.3178) - {'url|boost': 8.294671064957912, 'title|boost': 5.588413011165928, 'body|boost': 3.3730894476711986, 'expansions|boost': 4.063855327884218}\n",
+      " > iteration 9/50, took 0:00:25 (remains: 0:17:38)\n",
+      "   | 0.3131 (best: 0.3178) - {'url|boost': 4.870561091498205, 'title|boost': 1.809141880795624, 'body|boost': 7.810559924974325, 'expansions|boost': 6.994128350537575}\n",
+      " > iteration 10/50, took 0:00:20 (remains: 0:13:43)\n",
+      "   | 0.2661 (best: 0.3178) - {'url|boost': 9.737863006708832, 'title|boost': 7.026435508938631, 'body|boost': 0.9363521284859823, 'expansions|boost': 2.7103995595545842}\n",
+      " > iteration 11/50, took 0:00:41 (remains: 0:26:48)\n",
+      "   | 0.3028 (best: 0.3178) - {'url|boost': 7.495852610502329, 'title|boost': 4.041862164153887, 'body|boost': 4.054600572332582, 'expansions|boost': 6.953592521125969}\n",
+      " > iteration 12/50, took 0:00:34 (remains: 0:22:09)\n",
+      "   | 0.3103 (best: 0.3178) - {'url|boost': 3.696894006209039, 'title|boost': 9.094550013965975, 'body|boost': 9.6951774385835, 'expansions|boost': 8.750899369865154}\n",
+      " > iteration 13/50, took 0:00:29 (remains: 0:17:54)\n",
+      "   | 0.3022 (best: 0.3178) - {'url|boost': 2.9871780329462934, 'title|boost': 2.3176563871428564, 'body|boost': 8.418813474605994, 'expansions|boost': 3.3891267538773913}\n",
+      " > iteration 14/50, took 0:00:34 (remains: 0:20:26)\n",
+      "   | 0.2690 (best: 0.3178) - {'url|boost': 8.121271481601127, 'title|boost': 4.927168700637368, 'body|boost': 7.913411751811562, 'expansions|boost': 0.342638403305966}\n",
+      " > iteration 15/50, took 0:00:31 (remains: 0:18:09)\n",
+      "   | 0.3086 (best: 0.3178) - {'url|boost': 7.189047697470839, 'title|boost': 2.9563442204005512, 'body|boost': 3.349480711078621, 'expansions|boost': 8.471934944918662}\n",
+      " > iteration 16/50, took 0:00:32 (remains: 0:18:27)\n",
+      "   | 0.2833 (best: 0.3178) - {'url|boost': 3.002923124192191, 'title|boost': 8.44758953776234, 'body|boost': 4.1340608960277505, 'expansions|boost': 2.4138795203882584}\n",
+      " > iteration 17/50, took 0:00:35 (remains: 0:19:42)\n",
+      "   | 0.3028 (best: 0.3178) - {'url|boost': 0.582388204761113, 'title|boost': 8.344129366801276, 'body|boost': 8.377636801129801, 'expansions|boost': 4.116462269771096}\n",
+      " > iteration 18/50, took 0:00:34 (remains: 0:18:24)\n",
+      "   | 0.3060 (best: 0.3178) - {'url|boost': 4.640746493337177, 'title|boost': 2.205769259076293, 'body|boost': 4.896975047044251, 'expansions|boost': 3.65804820063274}\n",
+      " > iteration 19/50, took 0:00:30 (remains: 0:15:44)\n",
+      "   | 0.3131 (best: 0.3178) - {'url|boost': 0.35155406432348496, 'title|boost': 3.375150854486741, 'body|boost': 8.227905224425069, 'expansions|boost': 8.287839197445251}\n",
+      " > iteration 20/50, took 0:00:34 (remains: 0:17:00)\n",
+      "   | 0.3132 (best: 0.3178) - {'url|boost': 1.2804610574368294, 'title|boost': 3.1211663261437477, 'body|boost': 8.539455854883782, 'expansions|boost': 6.522310366067016}\n",
+      " > iteration 21/50, took 0:00:19 (remains: 0:09:24)\n",
+      "   | 0.3131 (best: 0.3178) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 3.7181922734578574, 'expansions|boost': 10.0}\n",
+      " > iteration 22/50, took 0:00:33 (remains: 0:15:40)\n",
+      "   | 0.3080 (best: 0.3178) - {'url|boost': 10.0, 'title|boost': 0.0, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
+      " > iteration 23/50, took 0:00:22 (remains: 0:10:20)\n",
+      "   | 0.3130 (best: 0.3178) - {'url|boost': 0.0, 'title|boost': 0.0, 'body|boost': 3.900349067612808, 'expansions|boost': 5.612065025244274}\n",
+      " > iteration 24/50, took 0:00:21 (remains: 0:09:20)\n",
+      "   | 0.3025 (best: 0.3178) - {'url|boost': 0.0, 'title|boost': 10.0, 'body|boost': 3.30217301289911, 'expansions|boost': 10.0}\n",
+      " > iteration 25/50, took 0:00:17 (remains: 0:07:15)\n",
+      "   | 0.3090 (best: 0.3178) - {'url|boost': 0.0, 'title|boost': 1.3877787807814457e-16, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
+      " > iteration 26/50, took 0:00:25 (remains: 0:10:05)\n",
+      "   | 0.3020 (best: 0.3178) - {'url|boost': 10.0, 'title|boost': 10.0, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
+      " > iteration 27/50, took 0:00:15 (remains: 0:05:53)\n",
+      "   | 0.3052 (best: 0.3178) - {'url|boost': 6.340430907091753, 'title|boost': 0.07867235604054773, 'body|boost': 0.7357454798812753, 'expansions|boost': 9.940610208225152}\n",
+      " > iteration 28/50, took 0:00:30 (remains: 0:11:11)\n",
+      "   | 0.3107 (best: 0.3178) - {'url|boost': 7.315553036412643, 'title|boost': 0.14956704977902915, 'body|boost': 6.547972064023796, 'expansions|boost': 9.742009840143265}\n",
+      " > iteration 29/50, took 0:00:33 (remains: 0:11:43)\n",
+      "   | 0.3091 (best: 0.3178) - {'url|boost': 0.22118397415261673, 'title|boost': 9.457205640786611, 'body|boost': 9.646957469201405, 'expansions|boost': 9.871008217984492}\n",
+      " > iteration 30/50, took 0:00:09 (remains: 0:03:19)\n",
+      "   | 0.3059 (best: 0.3178) - {'url|boost': 0.012498013065537219, 'title|boost': 0.1383248334250098, 'body|boost': 0.6692809730633932, 'expansions|boost': 7.815782910663493}\n",
+      " > iteration 31/50, took 0:00:23 (remains: 0:07:18)\n",
+      "   | 0.2655 (best: 0.3178) - {'url|boost': 0.007390191093544775, 'title|boost': 1.522439434506079, 'body|boost': 9.675147976259476, 'expansions|boost': 0.324470142591572}\n",
+      " > iteration 32/50, took 0:00:31 (remains: 0:09:35)\n",
+      "   | 0.3101 (best: 0.3178) - {'url|boost': 0.0, 'title|boost': 5.731688710610724, 'body|boost': 10.0, 'expansions|boost': 10.0}\n",
+      " > iteration 33/50, took 0:00:28 (remains: 0:08:02)\n",
+      "   | 0.2866 (best: 0.3178) - {'url|boost': 10.0, 'title|boost': 10.0, 'body|boost': 0.0, 'expansions|boost': 10.0}\n",
+      " > iteration 34/50, took 0:00:29 (remains: 0:07:57)\n",
+      "   | 0.3164 (best: 0.3178) - {'url|boost': 2.814879396832846, 'title|boost': 3.986162695553749, 'body|boost': 5.153489012156008, 'expansions|boost': 10.0}\n",
+      " > iteration 35/50, took 0:00:35 (remains: 0:08:46)\n",
+      "   | 0.2938 (best: 0.3178) - {'url|boost': 9.790500987816765, 'title|boost': 8.766828140008176, 'body|boost': 9.981579607709042, 'expansions|boost': 5.630690678432896}\n",
+      " > iteration 36/50, took 0:00:23 (remains: 0:05:22)\n",
+      "   | 0.3058 (best: 0.3178) - {'url|boost': 0.0641347285628291, 'title|boost': 0.018515842729613933, 'body|boost': 9.078385891769798, 'expansions|boost': 6.468925585261429}\n",
+      " > iteration 37/50, took 0:00:23 (remains: 0:05:06)\n",
+      "   | 0.3154 (best: 0.3178) - {'url|boost': 4.842098306754039, 'title|boost': 4.3398447403679326, 'body|boost': 7.804133151863166, 'expansions|boost': 10.0}\n",
+      " > iteration 38/50, took 0:00:27 (remains: 0:05:31)\n",
+      "   | 0.3169 (best: 0.3178) - {'url|boost': 2.3096168193834505, 'title|boost': 1.718202669598376, 'body|boost': 5.297781707874232, 'expansions|boost': 8.245099474798009}\n",
+      " > iteration 39/50, took 0:00:27 (remains: 0:05:05)\n",
+      "   | 0.3157 (best: 0.3178) - {'url|boost': 2.489235022546382, 'title|boost': 2.0620401261016905, 'body|boost': 6.3277635804218715, 'expansions|boost': 10.0}\n",
+      " > iteration 40/50, took 0:00:21 (remains: 0:03:31)\n",
+      "   | 0.3187 (best: 0.3187) - {'url|boost': 3.1468208691615884, 'title|boost': 0.0, 'body|boost': 4.966740874883074, 'expansions|boost': 6.539825557337352}\n",
+      " > iteration 41/50, took 0:00:31 (remains: 0:04:40)\n",
+      "   | 0.2994 (best: 0.3187) - {'url|boost': 9.644747549207604, 'title|boost': 0.14701802289755264, 'body|boost': 0.6645768188560653, 'expansions|boost': 7.298906489031436}\n",
+      " > iteration 42/50, took 0:00:13 (remains: 0:01:50)\n",
+      "   | 0.3043 (best: 0.3187) - {'url|boost': 0.21423751883973055, 'title|boost': 0.3142912067432569, 'body|boost': 0.011322613854027887, 'expansions|boost': 0.9426914655049992}\n",
+      " > iteration 43/50, took 0:00:18 (remains: 0:02:11)\n",
+      "   | 0.3093 (best: 0.3187) - {'url|boost': 0.36138090259639105, 'title|boost': 0.07331329262909027, 'body|boost': 0.30757426252311154, 'expansions|boost': 4.026415395383298}\n",
+      " > iteration 44/50, took 0:00:27 (remains: 0:02:47)\n",
+      "   | 0.3193 (best: 0.3193) - {'url|boost': 3.5470521503739763, 'title|boost': 0.0, 'body|boost': 4.699163527131726, 'expansions|boost': 7.188557972210847}\n",
+      " > iteration 45/50, took 0:00:33 (remains: 0:02:45)\n",
+      "   | 0.3054 (best: 0.3193) - {'url|boost': 6.312701594324666, 'title|boost': 9.995504319565034, 'body|boost': 5.739886314547853, 'expansions|boost': 9.79307391571311}\n",
+      " > iteration 46/50, took 0:00:21 (remains: 0:01:24)\n",
+      "   | 0.3181 (best: 0.3193) - {'url|boost': 3.6553063161107424, 'title|boost': 0.0, 'body|boost': 4.705663738721248, 'expansions|boost': 6.268341586550235}\n",
+      " > iteration 47/50, took 0:00:17 (remains: 0:00:53)\n",
+      "   | 0.3204 (best: 0.3204) - {'url|boost': 3.5518678716277075, 'title|boost': 0.0, 'body|boost': 4.563019776855929, 'expansions|boost': 7.969157442915904}\n",
+      " > iteration 48/50, took 0:00:32 (remains: 0:01:04)\n",
+      "   | 0.3122 (best: 0.3204) - {'url|boost': 4.042868173093883, 'title|boost': 0.21173909310765796, 'body|boost': 9.990188870449495, 'expansions|boost': 8.507222326897676}\n",
+      " > iteration 49/50, took 0:00:26 (remains: 0:00:26)\n",
+      "   | 0.3211 (best: 0.3211) - {'url|boost': 3.620342122510767, 'title|boost': 0.0, 'body|boost': 4.326499660677731, 'expansions|boost': 8.329101716099403}\n",
+      " > iteration 50/50, took 0:00:24 (remains: 0:00:00)\n",
+      "   | 0.3169 (best: 0.3211) - {'url|boost': 4.312280370684476, 'title|boost': 0.0, 'body|boost': 3.8110800466714263, 'expansions|boost': 10.0}\n",
+      "Best score: 0.3211\n",
+      "Best params: {'url|boost': 3.620342122510767, 'title|boost': 0.0, 'body|boost': 4.326499660677731, 'expansions|boost': 8.329101716099403}\n",
+      "Final params: {'url|boost': 3.620342122510767, 'title|boost': 0.0, 'body|boost': 4.326499660677731, 'expansions|boost': 8.329101716099403}\n",
+      "\n",
+      "CPU times: user 1min 5s, sys: 13.9 s, total: 1min 18s\n",
+      "Wall time: 23min 21s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
+    "    config_space=Config.parse({\n",
+    "        'method': 'bayesian',\n",
+    "        'num_iterations': 50,\n",
+    "        'num_initial_points': 20,\n",
+    "        'space': {\n",
+    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'expansions|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "        }\n",
+    "    }))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 576x576 with 16 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plot_objective(metadata, sample_source='result')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3355\n",
+      "CPU times: user 1.83 s, sys: 560 ms, total: 2.39 s\n",
+      "Wall time: 2min 46s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'url|boost': 3.620342122510767,\n",
+       " 'title|boost': 0.0,\n",
+       " 'body|boost': 4.326499660677731,\n",
+       " 'expansions|boost': 8.329101716099403}"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_params"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Base fields + expansions + bigrams"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_field_names = [\n",
+    "    'url',\n",
+    "    'title', 'title.bigrams',\n",
+    "    'body', 'body.bigrams',\n",
+    "    'expansions', 'expansions.bigrams',\n",
+    "]\n",
+    "_templates = deepcopy(base_templates)\n",
+    "_match_queries = [match_query(x) for x in _field_names]\n",
+    "_templates[0]['template']['source']['query']['bool'] = { 'should': _match_queries }"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3203\n",
+      "CPU times: user 2.11 s, sys: 720 ms, total: 2.83 s\n",
+      "Wall time: 7min 10s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
+    "    'url|boost': 1.0,\n",
+    "    'title|boost': 1.0,\n",
+    "    'title_bigrams|boost': 1.0,\n",
+    "    'body|boost': 1.0,\n",
+    "    'body_bigrams|boost': 1.0,\n",
+    "    'expansions|boost': 1.0,\n",
+    "    'expansions_bigrams|boost': 1.0\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 1/50, took 0:01:33 (remains: 1:16:06)\n",
+      "   | 0.2858 (best: 0.2858) - {'url|boost': 7.1541679958330615, 'title|boost': 7.940231583168092, 'title_bigrams|boost': 8.3662277757047, 'body|boost': 8.026723351132606, 'body_bigrams|boost': 6.059360765028254, 'expansions|boost': 2.096196400438301, 'expansions_bigrams|boost': 2.408668022898794}\n",
+      " > iteration 2/50, took 0:01:18 (remains: 1:02:26)\n",
+      "   | 0.2896 (best: 0.2896) - {'url|boost': 5.070987936271921, 'title|boost': 3.365360898963276, 'title_bigrams|boost': 3.7195651035687587, 'body|boost': 2.6840194968236313, 'body_bigrams|boost': 9.664545562890144, 'expansions|boost': 4.846790302413292, 'expansions_bigrams|boost': 7.1266945127887205}\n",
+      " > iteration 3/50, took 0:01:24 (remains: 1:05:59)\n",
+      "   | 0.3018 (best: 0.3018) - {'url|boost': 7.821934651980601, 'title|boost': 0.5997509699115301, 'title_bigrams|boost': 4.890579176456631, 'body|boost': 1.3176869211116429, 'body_bigrams|boost': 6.467815244601493, 'expansions|boost': 8.919264181858198, 'expansions_bigrams|boost': 1.7993513196883728}\n",
+      " > iteration 4/50, took 0:01:24 (remains: 1:04:24)\n",
+      "   | 0.2924 (best: 0.3018) - {'url|boost': 1.4863094566314663, 'title|boost': 1.297133986203869, 'title_bigrams|boost': 8.017755065277937, 'body|boost': 0.8916765032464004, 'body_bigrams|boost': 6.815024910218465, 'expansions|boost': 6.024971391017834, 'expansions_bigrams|boost': 5.467076078278953}\n",
+      " > iteration 5/50, took 0:01:23 (remains: 1:02:58)\n",
+      "   | 0.2984 (best: 0.3018) - {'url|boost': 6.287168144349339, 'title|boost': 9.939416111391461, 'title_bigrams|boost': 4.655973795329677, 'body|boost': 0.19377200740639092, 'body_bigrams|boost': 9.803291694030985, 'expansions|boost': 9.769588838220631, 'expansions_bigrams|boost': 7.767471193288804}\n",
+      " > iteration 6/50, took 0:01:24 (remains: 1:01:39)\n",
+      "   | 0.3054 (best: 0.3054) - {'url|boost': 4.686420652689217, 'title|boost': 2.5152695100842286, 'title_bigrams|boost': 1.6017701518792018, 'body|boost': 9.035260244082757, 'body_bigrams|boost': 6.453934203907604, 'expansions|boost': 9.658882824385769, 'expansions_bigrams|boost': 4.36929806342855}\n",
+      " > iteration 7/50, took 0:01:24 (remains: 1:00:12)\n",
+      "   | 0.3009 (best: 0.3054) - {'url|boost': 7.751474294335817, 'title|boost': 3.556894202431941, 'title_bigrams|boost': 4.063295556807926, 'body|boost': 8.332736977924325, 'body_bigrams|boost': 8.883671768351594, 'expansions|boost': 7.672742650575069, 'expansions_bigrams|boost': 3.7056355475408593}\n",
+      " > iteration 8/50, took 0:01:24 (remains: 0:58:52)\n",
+      "   | 0.2747 (best: 0.3054) - {'url|boost': 5.888921894668978, 'title|boost': 7.298052384707752, 'title_bigrams|boost': 2.7990814535343405, 'body|boost': 0.5618725486161092, 'body_bigrams|boost': 6.731240321864266, 'expansions|boost': 0.6901319639678295, 'expansions_bigrams|boost': 5.027371459384398}\n",
+      " > iteration 9/50, took 0:01:24 (remains: 0:57:26)\n",
+      "   | 0.2938 (best: 0.3054) - {'url|boost': 6.3614908451266015, 'title|boost': 4.2442826766728095, 'title_bigrams|boost': 8.538697719565244, 'body|boost': 5.091157439118542, 'body_bigrams|boost': 8.66518844263258, 'expansions|boost': 4.707471407916084, 'expansions_bigrams|boost': 8.598240350752066}\n",
+      " > iteration 10/50, took 0:01:23 (remains: 0:55:50)\n",
+      "   | 0.2699 (best: 0.3054) - {'url|boost': 0.43387732184019817, 'title|boost': 3.410478134054406, 'title_bigrams|boost': 0.6423521307610903, 'body|boost': 0.5766745180049716, 'body_bigrams|boost': 6.099066174857467, 'expansions|boost': 1.056358767774377, 'expansions_bigrams|boost': 4.935483108139228}\n",
+      " > iteration 11/50, took 0:01:24 (remains: 0:54:37)\n",
+      "   | 0.2865 (best: 0.3054) - {'url|boost': 2.8432450065260357, 'title|boost': 2.8568916050721134, 'title_bigrams|boost': 6.8485212107629465, 'body|boost': 0.7179178390967512, 'body_bigrams|boost': 9.0333260387557, 'expansions|boost': 5.34775296434421, 'expansions_bigrams|boost': 3.866854785549596}\n",
+      " > iteration 12/50, took 0:01:24 (remains: 0:53:25)\n",
+      "   | 0.3118 (best: 0.3118) - {'url|boost': 5.5548244175082075, 'title|boost': 3.764626093096022, 'title_bigrams|boost': 0.8269196464241825, 'body|boost': 9.74116396773451, 'body_bigrams|boost': 0.6105132083074839, 'expansions|boost': 2.779286558568457, 'expansions_bigrams|boost': 7.879106715564104}\n",
+      " > iteration 13/50, took 0:01:24 (remains: 0:52:03)\n",
+      "   | 0.2782 (best: 0.3118) - {'url|boost': 1.933962897470038, 'title|boost': 8.419186562600638, 'title_bigrams|boost': 5.781522105908401, 'body|boost': 8.263593648751055, 'body_bigrams|boost': 9.961058444815604, 'expansions|boost': 1.3406110240170424, 'expansions_bigrams|boost': 7.516464550790081}\n",
+      " > iteration 14/50, took 0:01:23 (remains: 0:50:07)\n",
+      "   | 0.2825 (best: 0.3118) - {'url|boost': 0.9915776345727125, 'title|boost': 6.258716073302488, 'title_bigrams|boost': 9.516660832463394, 'body|boost': 1.6082499408373143, 'body_bigrams|boost': 3.659251805701767, 'expansions|boost': 0.9062234965018791, 'expansions_bigrams|boost': 2.9333325384300397}\n",
+      " > iteration 15/50, took 0:01:25 (remains: 0:49:35)\n",
+      "   | 0.3085 (best: 0.3118) - {'url|boost': 5.850413038376125, 'title|boost': 6.3090067285754845, 'title_bigrams|boost': 2.8788776571335823, 'body|boost': 9.460211665984398, 'body_bigrams|boost': 5.420197211462355, 'expansions|boost': 9.24301094241056, 'expansions_bigrams|boost': 4.905123923745766}\n",
+      " > iteration 16/50, took 0:01:23 (remains: 0:47:29)\n",
+      "   | 0.2747 (best: 0.3118) - {'url|boost': 5.331917377121872, 'title|boost': 1.6097775124294236, 'title_bigrams|boost': 9.782999838844958, 'body|boost': 8.365384298263486, 'body_bigrams|boost': 9.216334647253548, 'expansions|boost': 3.108122518332104, 'expansions_bigrams|boost': 0.024988727612683673}\n",
+      " > iteration 17/50, took 0:01:24 (remains: 0:46:34)\n",
+      "   | 0.3026 (best: 0.3118) - {'url|boost': 9.57660922303033, 'title|boost': 2.197176175537467, 'title_bigrams|boost': 2.079358993305038, 'body|boost': 4.021804310263595, 'body_bigrams|boost': 8.854210974513576, 'expansions|boost': 8.185839772325508, 'expansions_bigrams|boost': 7.700799690624893}\n",
+      " > iteration 18/50, took 0:01:23 (remains: 0:44:47)\n",
+      "   | 0.3010 (best: 0.3118) - {'url|boost': 2.601558600645159, 'title|boost': 2.249714982132645, 'title_bigrams|boost': 0.66301061517279, 'body|boost': 8.87954894356984, 'body_bigrams|boost': 6.628307202245399, 'expansions|boost': 7.063836003253395, 'expansions_bigrams|boost': 2.8410062187016134}\n",
+      " > iteration 19/50, took 0:01:24 (remains: 0:43:46)\n",
+      "   | 0.3140 (best: 0.3140) - {'url|boost': 6.700186968717011, 'title|boost': 4.518142546210636, 'title_bigrams|boost': 4.204997570979938, 'body|boost': 5.805839634687166, 'body_bigrams|boost': 0.0827836359869394, 'expansions|boost': 8.697515029735918, 'expansions_bigrams|boost': 5.778945606028245}\n",
+      " > iteration 20/50, took 0:01:24 (remains: 0:42:03)\n",
+      "   | 0.3185 (best: 0.3185) - {'url|boost': 4.164312416422594, 'title|boost': 7.343429941105608, 'title_bigrams|boost': 0.4238388551046302, 'body|boost': 4.970000823462435, 'body_bigrams|boost': 1.89464782811186, 'expansions|boost': 9.058028064216456, 'expansions_bigrams|boost': 2.352438595446846}\n",
+      " > iteration 21/50, took 0:01:24 (remains: 0:40:58)\n",
+      "   | 0.3045 (best: 0.3185) - {'url|boost': 10.0, 'title|boost': 10.0, 'title_bigrams|boost': 1.4978141265786924, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.611162657896143, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 22/50, took 0:01:25 (remains: 0:39:56)\n",
+      "   | 0.3136 (best: 0.3185) - {'url|boost': 0.0, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 3.9959634300802587}\n",
+      " > iteration 23/50, took 0:01:25 (remains: 0:38:15)\n",
+      "   | 0.3115 (best: 0.3185) - {'url|boost': 0.0, 'title|boost': 3.6881985956370436, 'title_bigrams|boost': 9.90526529490159, 'body|boost': 9.595397492888472, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.116940707473546, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 24/50, took 0:01:25 (remains: 0:37:06)\n",
+      "   | 0.3073 (best: 0.3185) - {'url|boost': 2.731461545764617, 'title|boost': 2.3783557680781944, 'title_bigrams|boost': 2.0372296601687223, 'body|boost': 0.0, 'body_bigrams|boost': 1.7224287051827152, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 25/50, took 0:01:23 (remains: 0:34:54)\n",
+      "   | 0.3093 (best: 0.3185) - {'url|boost': 0.9229992946836663, 'title|boost': 2.268879644667201, 'title_bigrams|boost': 2.0027535580568028, 'body|boost': 0.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.7165986018944785, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 26/50, took 0:01:25 (remains: 0:34:23)\n",
+      "   | 0.3134 (best: 0.3185) - {'url|boost': 9.531535310747737, 'title|boost': 9.318974052552063, 'title_bigrams|boost': 2.135352819571257, 'body|boost': 9.895518418834538, 'body_bigrams|boost': 2.275489052288266, 'expansions|boost': 6.211082683437118, 'expansions_bigrams|boost': 8.691077086540165}\n",
+      " > iteration 27/50, took 0:02:03 (remains: 0:47:25)\n",
+      "   | 0.3080 (best: 0.3185) - {'url|boost': 8.757296576536897, 'title|boost': 7.211148960744572, 'title_bigrams|boost': 7.097200083518578, 'body|boost': 1.01427151964013, 'body_bigrams|boost': 1.3412022846253226, 'expansions|boost': 9.884194210087289, 'expansions_bigrams|boost': 0.2686214037743873}\n",
+      " > iteration 28/50, took 0:01:32 (remains: 0:33:53)\n",
+      "   | 0.3072 (best: 0.3185) - {'url|boost': 0.0923639728085024, 'title|boost': 7.7795514043433105, 'title_bigrams|boost': 1.2556014588159394, 'body|boost': 8.16362101068206, 'body_bigrams|boost': 4.1994067070104455, 'expansions|boost': 9.80110232268068, 'expansions_bigrams|boost': 0.4604293255715342}\n",
+      " > iteration 29/50, took 0:01:33 (remains: 0:32:38)\n",
+      "   | 0.3046 (best: 0.3185) - {'url|boost': 10.0, 'title|boost': 9.778365339967014, 'title_bigrams|boost': 8.452369572837968, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 0.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 30/50, took 0:01:40 (remains: 0:33:22)\n",
+      "   | 0.3177 (best: 0.3185) - {'url|boost': 3.842406660798479, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 1.549676421570555, 'expansions|boost': 7.483002770728983, 'expansions_bigrams|boost': 4.47693310854563}\n",
+      " > iteration 31/50, took 0:01:34 (remains: 0:29:46)\n",
+      "   | 0.3168 (best: 0.3185) - {'url|boost': 4.056224678123861, 'title|boost': 9.948402268354583, 'title_bigrams|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 1.1977899539239936, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.8954784127624215}\n",
+      " > iteration 32/50, took 0:01:37 (remains: 0:29:12)\n",
+      "   | 0.2974 (best: 0.3185) - {'url|boost': 0.0, 'title|boost': 8.032907471124453, 'title_bigrams|boost': 2.3260532668399954, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 0.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 33/50, took 0:01:33 (remains: 0:26:27)\n",
+      "   | 0.2596 (best: 0.3185) - {'url|boost': 9.236766998247248, 'title|boost': 8.621598988537357, 'title_bigrams|boost': 6.736349494431121, 'body|boost': 0.12245839744090439, 'body_bigrams|boost': 0.11003833447176926, 'expansions|boost': 0.1728628363072471, 'expansions_bigrams|boost': 1.8069136437612834}\n",
+      " > iteration 34/50, took 0:01:32 (remains: 0:24:37)\n",
+      "   | 0.3195 (best: 0.3195) - {'url|boost': 2.6712020627509094, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 5.304640563117284, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 35/50, took 0:01:35 (remains: 0:23:53)\n",
+      "   | 0.3079 (best: 0.3195) - {'url|boost': 1.0805432776533561, 'title|boost': 10.0, 'title_bigrams|boost': 0.0, 'body|boost': 9.105828086081926, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.928911526522081, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 36/50, took 0:09:01 (remains: 2:06:22)\n",
+      "   | 0.3144 (best: 0.3195) - {'url|boost': 5.257431787798701, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 37/50, took 0:02:37 (remains: 0:34:10)\n",
+      "   | 0.3052 (best: 0.3195) - {'url|boost': 0.1655544812381138, 'title|boost': 7.3618535350008845, 'title_bigrams|boost': 4.003399457800069, 'body|boost': 9.636558267651136, 'body_bigrams|boost': 5.372324989959384, 'expansions|boost': 9.695110243731955, 'expansions_bigrams|boost': 9.750419949102302}\n",
+      " > iteration 38/50, took 0:01:30 (remains: 0:18:08)\n",
+      "   | 0.3083 (best: 0.3195) - {'url|boost': 0.0, 'title|boost': 9.127609013123632, 'title_bigrams|boost': 0.19694211960236518, 'body|boost': 0.0, 'body_bigrams|boost': 2.3025339992560956, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 39/50, took 0:01:36 (remains: 0:17:46)\n",
+      "   | 0.3053 (best: 0.3195) - {'url|boost': 8.925835804598837, 'title|boost': 0.21038261908266523, 'title_bigrams|boost': 2.1682104380865392, 'body|boost': 9.585231534787571, 'body_bigrams|boost': 9.29290949777668, 'expansions|boost': 9.783131005091153, 'expansions_bigrams|boost': 9.62786442183899}\n",
+      " > iteration 40/50, took 0:01:35 (remains: 0:15:57)\n",
+      "   | 0.3119 (best: 0.3195) - {'url|boost': 4.641015641648056, 'title|boost': 10.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 2.081092665466997, 'expansions|boost': 6.056081468604496, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 41/50, took 0:04:41 (remains: 0:42:17)\n",
+      "   | 0.3168 (best: 0.3195) - {'url|boost': 2.9437436133512564, 'title|boost': 10.0, 'title_bigrams|boost': 10.0, 'body|boost': 4.953474548337018, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.121638000161629}\n",
+      " > iteration 42/50, took 0:01:31 (remains: 0:12:13)\n",
+      "   | 0.3111 (best: 0.3195) - {'url|boost': 9.901487637593405, 'title|boost': 8.785165993901852, 'title_bigrams|boost': 7.846783019840693, 'body|boost': 5.5818046275278, 'body_bigrams|boost': 0.6295874216532594, 'expansions|boost': 9.973582758593786, 'expansions_bigrams|boost': 9.840935136438942}\n",
+      " > iteration 43/50, took 0:01:32 (remains: 0:10:50)\n",
+      "   | 0.3211 (best: 0.3211) - {'url|boost': 5.949038063682114, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 2.2577356135425655}\n",
+      " > iteration 44/50, took 0:05:25 (remains: 0:32:33)\n",
+      "   | 0.2998 (best: 0.3211) - {'url|boost': 9.720589848779037, 'title|boost': 3.2876991181241384, 'title_bigrams|boost': 3.9772926151158017, 'body|boost': 8.727774052593858, 'body_bigrams|boost': 8.489700871340338, 'expansions|boost': 9.745618361084535, 'expansions_bigrams|boost': 0.020192766146089895}\n",
+      " > iteration 45/50, took 0:01:28 (remains: 0:07:21)\n",
+      "   | 0.3191 (best: 0.3211) - {'url|boost': 8.483532498888572, 'title|boost': 5.159733668391282, 'title_bigrams|boost': 0.13059134586056012, 'body|boost': 9.647332724129, 'body_bigrams|boost': 0.008995135636127307, 'expansions|boost': 9.978558038280315, 'expansions_bigrams|boost': 5.657342610501402}\n",
+      " > iteration 46/50, took 0:01:29 (remains: 0:05:57)\n",
+      "   | 0.3101 (best: 0.3211) - {'url|boost': 9.609465469028288, 'title|boost': 9.659219869885327, 'title_bigrams|boost': 7.5123848929036505, 'body|boost': 2.705207326581171, 'body_bigrams|boost': 0.05945388558007304, 'expansions|boost': 6.4361165106530205, 'expansions_bigrams|boost': 9.911041164930177}\n",
+      " > iteration 47/50, took 0:01:29 (remains: 0:04:28)\n",
+      "   | 0.3210 (best: 0.3211) - {'url|boost': 5.51047539511977, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 2.027190449606874}\n",
+      " > iteration 48/50, took 0:01:27 (remains: 0:02:54)\n",
+      "   | 0.3166 (best: 0.3211) - {'url|boost': 9.996945230156248, 'title|boost': 1.6397240801065496, 'title_bigrams|boost': 7.900443533028488, 'body|boost': 9.120899577763641, 'body_bigrams|boost': 0.2236219567057052, 'expansions|boost': 8.285751356494142, 'expansions_bigrams|boost': 4.102368844835941}\n",
+      " > iteration 49/50, took 0:01:30 (remains: 0:01:30)\n",
+      "   | 0.3155 (best: 0.3211) - {'url|boost': 5.62401168307235, 'title|boost': 7.077832751800114, 'title_bigrams|boost': 0.030242346639544067, 'body|boost': 9.429640016774036, 'body_bigrams|boost': 0.31618446558522867, 'expansions|boost': 8.977289792955542, 'expansions_bigrams|boost': 9.935080063119646}\n",
+      " > iteration 50/50, took 0:01:27 (remains: 0:00:00)\n",
+      "   | 0.3085 (best: 0.3211) - {'url|boost': 0.23315776726994922, 'title|boost': 1.307502690909005, 'title_bigrams|boost': 3.667499678497898, 'body|boost': 9.7594783017461, 'body_bigrams|boost': 0.07026680971438327, 'expansions|boost': 1.6740702910068186, 'expansions_bigrams|boost': 5.2836750757317485}\n",
+      "Best score: 0.3211\n",
+      "Best params: {'url|boost': 5.949038063682114, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 2.2577356135425655}\n",
+      "Final params: {'url|boost': 5.949038063682114, 'title|boost': 0.0, 'title_bigrams|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 2.2577356135425655}\n",
+      "\n",
+      "CPU times: user 1min 33s, sys: 18.1 s, total: 1min 51s\n",
+      "Wall time: 1h 29min 47s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
+    "    config_space=Config.parse({\n",
+    "        'method': 'bayesian',\n",
+    "        'num_iterations': 50,\n",
+    "        'num_initial_points': 20,\n",
+    "        'space': {\n",
+    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'title_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'expansions|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'expansions_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "        }\n",
+    "    }))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 1008x1008 with 49 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plot_objective(metadata, sample_source='result')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3407\n",
+      "CPU times: user 2.58 s, sys: 885 ms, total: 3.46 s\n",
+      "Wall time: 7min 10s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'url|boost': 5.949038063682114,\n",
+       " 'title|boost': 0.0,\n",
+       " 'title_bigrams|boost': 10.0,\n",
+       " 'body|boost': 10.0,\n",
+       " 'body_bigrams|boost': 0.0,\n",
+       " 'expansions|boost': 10.0,\n",
+       " 'expansions_bigrams|boost': 2.2577356135425655}"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_params"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'url|boost': 6.831285778689427,\n",
+       " 'title|boost': 0.0,\n",
+       " 'title_bigrams|boost': 0.0,\n",
+       " 'body|boost': 10.0,\n",
+       " 'body_bigrams|boost': 10.0,\n",
+       " 'expansions|boost': 10.0,\n",
+       " 'expansions_bigrams|boost': 3.348671601852749}"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# with 100/20 iterations\n",
+    "# 0.3412\n",
+    "\n",
+    "{\n",
+    "    'url|boost': 6.831285778689427,\n",
+    "    'title|boost': 0.0,\n",
+    "    'title_bigrams|boost': 0.0,\n",
+    "    'body|boost': 10.0,\n",
+    "    'body_bigrams|boost': 10.0,\n",
+    "    'expansions|boost': 10.0,\n",
+    "    'expansions_bigrams|boost': 3.348671601852749\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Selective fields\n",
+    "\n",
+    "Based on the results from above, remove fields with `0` boost values."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_field_names = [\n",
+    "    'url',\n",
+    "    'body', 'body.bigrams',\n",
+    "    'expansions', 'expansions.bigrams',\n",
+    "]\n",
+    "_templates = deepcopy(base_templates)\n",
+    "_match_queries = [match_query(x) for x in _field_names]\n",
+    "_templates[0]['template']['source']['query']['bool'] = { 'should': _match_queries }"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3318\n",
+      "CPU times: user 2.81 s, sys: 1.02 s, total: 3.83 s\n",
+      "Wall time: 7min 6s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params={\n",
+    "    'url|boost': 1.0,\n",
+    "    'body|boost': 1.0,\n",
+    "    'body_bigrams|boost': 1.0,\n",
+    "    'expansions|boost': 1.0,\n",
+    "    'expansions_bigrams|boost': 1.0\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Optimizing parameters\n",
+      " - metric: MRR@100\n",
+      " - queries: data/msmarco-document-sampled-queries.1000.tsv\n",
+      " - queries: data/msmarco/document/msmarco-doctrain-qrels.tsv\n",
+      " > iteration 1/50, took 0:01:25 (remains: 1:09:57)\n",
+      "   | 0.3013 (best: 0.3013) - {'url|boost': 7.73888589006612, 'body|boost': 4.436038965405219, 'body_bigrams|boost': 9.102205111489042, 'expansions|boost': 8.755400621407274, 'expansions_bigrams|boost': 3.156355776262973}\n",
+      " > iteration 2/50, took 0:01:22 (remains: 1:06:21)\n",
+      "   | 0.2958 (best: 0.3013) - {'url|boost': 1.794434933192868, 'body|boost': 2.6819317445848996, 'body_bigrams|boost': 5.544134107110398, 'expansions|boost': 4.089206898889976, 'expansions_bigrams|boost': 5.040054940360228}\n",
+      " > iteration 3/50, took 0:01:25 (remains: 1:07:13)\n",
+      "   | 0.2985 (best: 0.3013) - {'url|boost': 3.8641685177591234, 'body|boost': 7.1169105371480255, 'body_bigrams|boost': 2.9206650569974286, 'expansions|boost': 0.5678349774701442, 'expansions_bigrams|boost': 8.000572950130522}\n",
+      " > iteration 4/50, took 0:01:25 (remains: 1:05:11)\n",
+      "   | 0.2742 (best: 0.3013) - {'url|boost': 9.223732003595742, 'body|boost': 2.2082232993740787, 'body_bigrams|boost': 8.24708056408634, 'expansions|boost': 2.371600832647531, 'expansions_bigrams|boost': 2.9531029470305876}\n",
+      " > iteration 5/50, took 0:01:26 (remains: 1:05:08)\n",
+      "   | 0.2895 (best: 0.3013) - {'url|boost': 9.597445398251965, 'body|boost': 1.2229693668967814, 'body_bigrams|boost': 4.469091769124219, 'expansions|boost': 2.048206558264582, 'expansions_bigrams|boost': 9.247891730163577}\n",
+      " > iteration 6/50, took 0:01:26 (remains: 1:03:28)\n",
+      "   | 0.3084 (best: 0.3084) - {'url|boost': 6.914262248829176, 'body|boost': 9.76137912978354, 'body_bigrams|boost': 3.419649026125748, 'expansions|boost': 4.3173351183080575, 'expansions_bigrams|boost': 9.805262659330285}\n",
+      " > iteration 7/50, took 0:01:27 (remains: 1:03:01)\n",
+      "   | 0.2797 (best: 0.3084) - {'url|boost': 8.235859856375274, 'body|boost': 5.437887511535965, 'body_bigrams|boost': 9.812784952799984, 'expansions|boost': 0.277910648391786, 'expansions_bigrams|boost': 8.651746345748204}\n",
+      " > iteration 8/50, took 0:01:27 (remains: 1:01:12)\n",
+      "   | 0.3039 (best: 0.3084) - {'url|boost': 4.341701382090434, 'body|boost': 4.590146161272567, 'body_bigrams|boost': 6.380303938613015, 'expansions|boost': 6.634492563578944, 'expansions_bigrams|boost': 4.037698292949137}\n",
+      " > iteration 9/50, took 0:01:25 (remains: 0:58:43)\n",
+      "   | 0.2865 (best: 0.3084) - {'url|boost': 6.199382386456027, 'body|boost': 5.921038984780048, 'body_bigrams|boost': 3.1626270438086017, 'expansions|boost': 2.151603244994152, 'expansions_bigrams|boost': 0.3133043484951537}\n",
+      " > iteration 10/50, took 0:01:25 (remains: 0:57:06)\n",
+      "   | 0.2956 (best: 0.3084) - {'url|boost': 8.04114690001562, 'body|boost': 3.936998343759991, 'body_bigrams|boost': 7.339114745688201, 'expansions|boost': 4.424673954252177, 'expansions_bigrams|boost': 5.315110750644944}\n",
+      " > iteration 11/50, took 0:01:26 (remains: 0:55:57)\n",
+      "   | 0.2998 (best: 0.3084) - {'url|boost': 8.861393757051113, 'body|boost': 6.211510198566738, 'body_bigrams|boost': 2.804088704265015, 'expansions|boost': 1.3376225012769574, 'expansions_bigrams|boost': 5.284367831214082}\n",
+      " > iteration 12/50, took 0:01:25 (remains: 0:54:06)\n",
+      "   | 0.3029 (best: 0.3084) - {'url|boost': 9.828897470560365, 'body|boost': 9.081058684674467, 'body_bigrams|boost': 3.69430271034151, 'expansions|boost': 2.5699619739374264, 'expansions_bigrams|boost': 6.306771358854222}\n",
+      " > iteration 13/50, took 0:01:28 (remains: 0:54:36)\n",
+      "   | 0.2990 (best: 0.3084) - {'url|boost': 5.411345685317555, 'body|boost': 5.653195929879885, 'body_bigrams|boost': 2.6774132467435545, 'expansions|boost': 1.2221448033057127, 'expansions_bigrams|boost': 8.984409282542932}\n",
+      " > iteration 14/50, took 0:01:31 (remains: 0:54:59)\n",
+      "   | 0.3085 (best: 0.3085) - {'url|boost': 2.2914290887091155, 'body|boost': 3.283866927936649, 'body_bigrams|boost': 3.1989089731328684, 'expansions|boost': 8.585123074676389, 'expansions_bigrams|boost': 9.734962289743933}\n",
+      " > iteration 15/50, took 0:01:28 (remains: 0:51:46)\n",
+      "   | 0.2896 (best: 0.3085) - {'url|boost': 4.095580187258479, 'body|boost': 2.0375539783494094, 'body_bigrams|boost': 7.892895142563761, 'expansions|boost': 3.7646479537183666, 'expansions_bigrams|boost': 6.749513034906368}\n",
+      " > iteration 16/50, took 0:01:28 (remains: 0:50:16)\n",
+      "   | 0.2896 (best: 0.3085) - {'url|boost': 6.198398368836772, 'body|boost': 2.784494010489203, 'body_bigrams|boost': 3.501598262904044, 'expansions|boost': 0.49675799366676554, 'expansions_bigrams|boost': 7.604188539923689}\n",
+      " > iteration 17/50, took 0:01:28 (remains: 0:48:55)\n",
+      "   | 0.3031 (best: 0.3085) - {'url|boost': 6.337354547057693, 'body|boost': 2.287130236911929, 'body_bigrams|boost': 7.524741974304882, 'expansions|boost': 9.144506520345564, 'expansions_bigrams|boost': 2.4614747227643923}\n",
+      " > iteration 18/50, took 0:01:25 (remains: 0:45:50)\n",
+      "   | 0.2962 (best: 0.3085) - {'url|boost': 1.8627453098719873, 'body|boost': 4.934890697182631, 'body_bigrams|boost': 9.593326619420537, 'expansions|boost': 7.550500219067299, 'expansions_bigrams|boost': 3.61555599558077}\n",
+      " > iteration 19/50, took 0:01:28 (remains: 0:45:57)\n",
+      "   | 0.2986 (best: 0.3085) - {'url|boost': 6.884077034068936, 'body|boost': 1.3420905425708343, 'body_bigrams|boost': 3.089683188265449, 'expansions|boost': 3.6439798438177924, 'expansions_bigrams|boost': 9.575002316671258}\n",
+      " > iteration 20/50, took 0:01:25 (remains: 0:42:54)\n",
+      "   | 0.3076 (best: 0.3085) - {'url|boost': 4.3671608234003685, 'body|boost': 7.2974775106461856, 'body_bigrams|boost': 6.483960946238875, 'expansions|boost': 9.09065700556614, 'expansions_bigrams|boost': 6.840713464072161}\n",
+      " > iteration 21/50, took 0:01:26 (remains: 0:41:59)\n",
+      "   | 0.3119 (best: 0.3119) - {'url|boost': 10.0, 'body|boost': 5.817230472666944, 'body_bigrams|boost': 0.0, 'expansions|boost': 7.898995322332549, 'expansions_bigrams|boost': 5.4945718291988435}\n",
+      " > iteration 22/50, took 0:01:25 (remains: 0:39:45)\n",
+      "   | 0.3123 (best: 0.3123) - {'url|boost': 8.33940356128549, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 23/50, took 0:01:29 (remains: 0:40:09)\n",
+      "   | 0.3152 (best: 0.3152) - {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 24/50, took 0:01:25 (remains: 0:37:08)\n",
+      "   | 0.2987 (best: 0.3152) - {'url|boost': 10.0, 'body|boost': 0.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 25/50, took 0:01:26 (remains: 0:36:07)\n",
+      "   | 0.3049 (best: 0.3152) - {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 6.072369966411644, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 0.0}\n",
+      " > iteration 26/50, took 0:01:25 (remains: 0:34:07)\n",
+      "   | 0.3173 (best: 0.3173) - {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.267132036093147}\n",
+      " > iteration 27/50, took 0:01:26 (remains: 0:33:20)\n",
+      "   | 0.3137 (best: 0.3173) - {'url|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.806256862327076, 'expansions_bigrams|boost': 7.317780219300528}\n",
+      " > iteration 28/50, took 0:01:26 (remains: 0:31:40)\n",
+      "   | 0.2939 (best: 0.3173) - {'url|boost': 0.15748225008620734, 'body|boost': 0.18458857243721552, 'body_bigrams|boost': 9.296445759785296, 'expansions|boost': 9.504660901942358, 'expansions_bigrams|boost': 9.86449927296153}\n",
+      " > iteration 29/50, took 0:01:26 (remains: 0:30:13)\n",
+      "   | 0.3092 (best: 0.3173) - {'url|boost': 9.70615340051615, 'body|boost': 0.2764818714283768, 'body_bigrams|boost': 0.06617494510298251, 'expansions|boost': 9.214148595107511, 'expansions_bigrams|boost': 9.205394088704697}\n",
+      " > iteration 30/50, took 0:01:26 (remains: 0:28:47)\n",
+      "   | 0.3128 (best: 0.3173) - {'url|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 6.4511515336814105}\n",
+      " > iteration 31/50, took 0:01:26 (remains: 0:27:17)\n",
+      "   | 0.2952 (best: 0.3173) - {'url|boost': 4.231281133262824, 'body|boost': 9.73948216747517, 'body_bigrams|boost': 0.036468276078871494, 'expansions|boost': 0.07591491876340008, 'expansions_bigrams|boost': 2.6570161669287233}\n",
+      " > iteration 32/50, took 0:01:26 (remains: 0:25:54)\n",
+      "   | 0.3076 (best: 0.3173) - {'url|boost': 9.861375917555055, 'body|boost': 8.849716701477131, 'body_bigrams|boost': 7.396850596841766, 'expansions|boost': 9.965479475998434, 'expansions_bigrams|boost': 9.919836196124304}\n",
+      " > iteration 33/50, took 0:01:30 (remains: 0:25:41)\n",
+      "   | 0.3135 (best: 0.3173) - {'url|boost': 9.656169219288136, 'body|boost': 9.947804182696395, 'body_bigrams|boost': 0.49556745888386555, 'expansions|boost': 7.240239805725532, 'expansions_bigrams|boost': 2.1354336586506224}\n",
+      " > iteration 34/50, took 0:01:27 (remains: 0:23:14)\n",
+      "   | 0.3102 (best: 0.3173) - {'url|boost': 7.957967730446899, 'body|boost': 9.860394486465506, 'body_bigrams|boost': 0.04177297598856989, 'expansions|boost': 1.049661323149206, 'expansions_bigrams|boost': 8.960660074017898}\n",
+      " > iteration 35/50, took 0:01:30 (remains: 0:22:30)\n",
+      "   | 0.3124 (best: 0.3173) - {'url|boost': 9.602092829538423, 'body|boost': 0.8634621985372338, 'body_bigrams|boost': 3.5583059755089823, 'expansions|boost': 9.935298421737832, 'expansions_bigrams|boost': 5.500264158020459}\n",
+      " > iteration 36/50, took 0:01:26 (remains: 0:20:16)\n",
+      "   | 0.3097 (best: 0.3173) - {'url|boost': 0.08355945758806162, 'body|boost': 8.998325799916811, 'body_bigrams|boost': 3.594026982796374, 'expansions|boost': 9.895337562342874, 'expansions_bigrams|boost': 3.6269671142327815}\n",
+      " > iteration 37/50, took 0:01:29 (remains: 0:19:21)\n",
+      "   | 0.2884 (best: 0.3173) - {'url|boost': 9.12470995858093, 'body|boost': 0.2109273737702755, 'body_bigrams|boost': 0.02867041498589851, 'expansions|boost': 3.2224203423856186, 'expansions_bigrams|boost': 1.442962185091319}\n",
+      " > iteration 38/50, took 0:01:34 (remains: 0:18:56)\n",
+      "   | 0.3133 (best: 0.3173) - {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 6.1456844059246905, 'expansions_bigrams|boost': 10.0}\n",
+      " > iteration 39/50, took 0:01:26 (remains: 0:15:47)\n",
+      "   | 0.3084 (best: 0.3173) - {'url|boost': 0.030972233852658577, 'body|boost': 0.387324860175885, 'body_bigrams|boost': 0.42274284505577026, 'expansions|boost': 9.984086706518681, 'expansions_bigrams|boost': 3.8444971316761967}\n",
+      " > iteration 40/50, took 0:01:27 (remains: 0:14:30)\n",
+      "   | 0.2957 (best: 0.3173) - {'url|boost': 1.6899160306986474, 'body|boost': 9.803441651952342, 'body_bigrams|boost': 9.861557435427162, 'expansions|boost': 6.774471363898867, 'expansions_bigrams|boost': 9.486951381899678}\n",
+      " > iteration 41/50, took 0:01:25 (remains: 0:12:49)\n",
+      "   | 0.2997 (best: 0.3173) - {'url|boost': 5.7410792981464684, 'body|boost': 0.43444733948926123, 'body_bigrams|boost': 8.856147687768066, 'expansions|boost': 9.976877469597143, 'expansions_bigrams|boost': 0.07716222257163731}\n",
+      " > iteration 42/50, took 0:01:27 (remains: 0:11:41)\n",
+      "   | 0.3101 (best: 0.3173) - {'url|boost': 3.0120486899980854, 'body|boost': 4.758489441693271, 'body_bigrams|boost': 0.09466459074681467, 'expansions|boost': 9.82515403935783, 'expansions_bigrams|boost': 8.882047758715522}\n",
+      " > iteration 43/50, took 0:01:25 (remains: 0:09:59)\n",
+      "   | 0.3167 (best: 0.3173) - {'url|boost': 9.523088975061944, 'body|boost': 9.729380896762452, 'body_bigrams|boost': 2.766055488028078, 'expansions|boost': 9.79340096155942, 'expansions_bigrams|boost': 7.687936537397693}\n",
+      " > iteration 44/50, took 0:01:25 (remains: 0:08:33)\n",
+      "   | 0.3175 (best: 0.3175) - {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.500040511164799}\n",
+      " > iteration 45/50, took 0:01:26 (remains: 0:07:14)\n",
+      "   | 0.3143 (best: 0.3175) - {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 1.296730808726998, 'expansions|boost': 8.348926875104624, 'expansions_bigrams|boost': 6.299703718803805}\n",
+      " > iteration 46/50, took 0:01:26 (remains: 0:05:44)\n",
+      "   | 0.3171 (best: 0.3175) - {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 4.813158453007126}\n",
+      " > iteration 47/50, took 0:01:27 (remains: 0:04:22)\n",
+      "   | 0.3106 (best: 0.3175) - {'url|boost': 0.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 4.010957768577445, 'expansions_bigrams|boost': 7.827952678074965}\n",
+      " > iteration 48/50, took 0:01:26 (remains: 0:02:52)\n",
+      "   | 0.3103 (best: 0.3175) - {'url|boost': 0.17911444551277692, 'body|boost': 9.696162939695924, 'body_bigrams|boost': 1.287743302125284, 'expansions|boost': 6.671306439796193, 'expansions_bigrams|boost': 0.9487060082265577}\n",
+      " > iteration 49/50, took 0:01:26 (remains: 0:01:26)\n",
+      "   | 0.3156 (best: 0.3175) - {'url|boost': 10.0, 'body|boost': 7.816031809750673, 'body_bigrams|boost': 1.865770299309701, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 6.793407160306101}\n",
+      " > iteration 50/50, took 0:01:26 (remains: 0:00:00)\n",
+      "   | 0.3060 (best: 0.3175) - {'url|boost': 2.054421385768492, 'body|boost': 1.5066432623936212, 'body_bigrams|boost': 0.0019491108757996316, 'expansions|boost': 7.335817818722744, 'expansions_bigrams|boost': 7.177843127585662}\n",
+      "Best score: 0.3175\n",
+      "Best params: {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.500040511164799}\n",
+      "Final params: {'url|boost': 10.0, 'body|boost': 10.0, 'body_bigrams|boost': 0.0, 'expansions|boost': 10.0, 'expansions_bigrams|boost': 5.500040511164799}\n",
+      "\n",
+      "CPU times: user 1min 22s, sys: 17.9 s, total: 1min 40s\n",
+      "Wall time: 1h 12min 33s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_, _, final_params, metadata = optimize_query_mrr100_templated(es, max_concurrent_searches, index, _templates, template_id,\n",
+    "    config_space=Config.parse({\n",
+    "        'method': 'bayesian',\n",
+    "        'num_iterations': 50,\n",
+    "        'num_initial_points': 20,\n",
+    "        'space': {\n",
+    "            'url|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'body_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'expansions|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "            'expansions_bigrams|boost': { 'low': 0.0, 'high': 10.0 },\n",
+    "        }\n",
+    "    }))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 25 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_ = plot_objective(metadata, sample_source='result')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Evaluation with: MRR@100\n",
+      "Score: 0.3402\n",
+      "CPU times: user 2.71 s, sys: 997 ms, total: 3.7 s\n",
+      "Wall time: 7min 7s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "\n",
+    "_ = evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, _templates, template_id, params=final_params)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'url|boost': 10.0,\n",
+       " 'body|boost': 10.0,\n",
+       " 'body_bigrams|boost': 0.0,\n",
+       " 'expansions|boost': 10.0,\n",
+       " 'expansions_bigrams|boost': 5.500040511164799}"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "final_params"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'url|boost': 5.906335138830406,\n",
+       " 'body|boost': 7.285007082865544,\n",
+       " 'body_bigrams|boost': 0.1561216257683724,\n",
+       " 'expansions|boost': 9.922407448775347,\n",
+       " 'expansions_bigrams|boost': 4.5189511755570635}"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# with 50/20 iterations\n",
+    "# 0.3415\n",
+    "\n",
+    "{\n",
+    "    'url|boost': 5.906335138830406,\n",
+    "    'body|boost': 7.285007082865544,\n",
+    "    'body_bigrams|boost': 0.1561216257683724,\n",
+    "    'expansions|boost': 9.922407448775347,\n",
+    "    'expansions_bigrams|boost': 4.5189511755570635\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Machine Learning/Query Optimization/qopt/notebooks.py b/Machine Learning/Query Optimization/qopt/notebooks.py
index 0275db40..7b8bff47 100644
--- a/Machine Learning/Query Optimization/qopt/notebooks.py	
+++ b/Machine Learning/Query Optimization/qopt/notebooks.py	
@@ -1,10 +1,11 @@
 """Support for Jupyter Lab notebooks."""
 
+import datetime
 import os
 
 from copy import deepcopy
 from .eval import build_requests
-from .optimize import optimize_query, optimize_bm25
+from .optimize import optimize_query, optimize_bm25, set_bm25_parameters
 from .trec import load_queries_as_tuple_list, load_qrels
 from .util import load_json
 
@@ -12,6 +13,18 @@
 TEMPLATES_FILE = os.path.join(ROOT_DIR, 'config', 'msmarco-document-templates.json')
 
 
+def set_bm25_params(es, index, best):
+    """Sets the BM25 parameters for given field names and params."""
+
+    def similarity_name(field):
+        return f"bm25-{field.replace('.', '-')}"
+
+    print("Setting BM25 params fields:")
+    for field, params in best:
+        print(f" - {field}: {params}")
+        set_bm25_parameters(es, index, name=similarity_name(field), **params)
+
+
 def mrr(k):
     return deepcopy({
         'mean_reciprocal_rank': {
@@ -22,8 +35,12 @@ def mrr(k):
 
 
 def evaluate_mrr100_dev(es, max_concurrent_searches, index, template_id, params):
-    k = 100
     templates = load_json(TEMPLATES_FILE)
+    return evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, templates, template_id, params)
+
+
+def evaluate_mrr100_dev_templated(es, max_concurrent_searches, index, templates, template_id, params):
+    k = 100
     queries = load_queries_as_tuple_list(os.path.join(ROOT_DIR, 'data', 'msmarco', 'document', 'msmarco-docdev-queries.tsv'))
     qrels = load_qrels(os.path.join(ROOT_DIR, 'data', 'msmarco', 'document', 'msmarco-docdev-qrels.tsv'))
 
@@ -43,16 +60,30 @@ def evaluate_mrr100_dev(es, max_concurrent_searches, index, template_id, params)
     return results
 
 
-def verbose_logger(iteration, score, params):
-    print(f" - iteration {iteration} scored {score:.04f} with: {params}")
+def verbose_logger(iteration, total_iterations, score, curr_min_score, duration, params):
+    def seconds_to_str(seconds):
+        delta = datetime.timedelta(seconds=seconds)
+        return str(delta - datetime.timedelta(microseconds=delta.microseconds))
+
+    remaining_duration = duration * (total_iterations - iteration)
+    duration_s = seconds_to_str(duration)
+    remaining_s = seconds_to_str(remaining_duration)
+    print(f" > iteration {iteration}/{total_iterations}, took {duration_s} (remains: {remaining_s})")
+    print(f"   | {score:.04f} (best: {curr_min_score:.04f}) - {params}")
 
 
 def optimize_query_mrr100(es, max_concurrent_searches, index, template_id, config_space, verbose=True):
+    templates = load_json(TEMPLATES_FILE)
+    return optimize_query_mrr100_templated(es, max_concurrent_searches, index,
+                                           templates, template_id, config_space,
+                                           verbose)
+
+
+def optimize_query_mrr100_templated(es, max_concurrent_searches, index, templates, template_id, config_space, verbose=True):
     k = 100
     queries_fname = os.path.join('data', 'msmarco-document-sampled-queries.1000.tsv')
     qrels_fname = os.path.join('data', 'msmarco', 'document', 'msmarco-doctrain-qrels.tsv')
 
-    templates = load_json(TEMPLATES_FILE)
     queries = load_queries_as_tuple_list(os.path.join(ROOT_DIR, queries_fname))
     qrels = load_qrels(os.path.join(ROOT_DIR, qrels_fname))
 
@@ -78,12 +109,18 @@ def optimize_query_mrr100(es, max_concurrent_searches, index, template_id, confi
     return best_score, best_params, final_params, metadata
 
 
-def optimize_bm25_mrr100(es, max_concurrent_searches, index, template_id, query_params, config_space, verbose=True):
+def optimize_bm25_mrr100(es, max_concurrent_searches, index, template_id, query_params, config_space, name=None, verbose=True):
+    templates = load_json(TEMPLATES_FILE)
+    return optimize_bm25_mrr100_templated(es, max_concurrent_searches, index,
+                                          templates, template_id, query_params,
+                                          config_space, name, verbose)
+
+
+def optimize_bm25_mrr100_templated(es, max_concurrent_searches, index, templates, template_id, query_params, config_space, name=None, verbose=True):
     k = 100
     queries_fname = os.path.join('data', 'msmarco-document-sampled-queries.1000.tsv')
     qrels_fname = os.path.join('data', 'msmarco', 'document', 'msmarco-doctrain-qrels.tsv')
 
-    templates = load_json(TEMPLATES_FILE)
     queries = load_queries_as_tuple_list(os.path.join(ROOT_DIR, queries_fname))
     qrels = load_qrels(os.path.join(ROOT_DIR, qrels_fname))
 
@@ -99,7 +136,7 @@ def optimize_bm25_mrr100(es, max_concurrent_searches, index, template_id, query_
 
     best_score, best_params, final_params, metadata = optimize_bm25(
         es, max_concurrent_searches, index, config_space, mrr(100), templates,
-        template_id, queries, qrels, query_params, logger)
+        template_id, queries, qrels, query_params, name, logger)
 
     print(f"Best score: {best_score:.04f}")
     print(f"Best params: {best_params}")
diff --git a/Machine Learning/Query Optimization/qopt/optimize.py b/Machine Learning/Query Optimization/qopt/optimize.py
index e48d0c41..3cde4ec4 100644
--- a/Machine Learning/Query Optimization/qopt/optimize.py	
+++ b/Machine Learning/Query Optimization/qopt/optimize.py	
@@ -7,9 +7,20 @@
 from skopt.callbacks import DeltaXStopper
 from skopt.space import Categorical, Integer, Real
 from sklearn.model_selection import ParameterGrid
+from time import time
 from .eval import build_requests
 
 
+def _convert_param_types(params):
+    def _convert(x):
+        if isinstance(x, np.int64):
+            return int(x)
+        else:
+            return x
+
+    return {k: _convert(v) for k, v in params.items()}
+
+
 class Config:
     DEFAULT_METHOD = 'auto'
     DEFAULT_NUM_ITERATIONS = 30
@@ -128,14 +139,41 @@ def parse(config):
             default=config.get('default'))
 
 
-def _convert_param_types(params):
-    def _convert(x):
-        if isinstance(x, np.int64):
-            return int(x)
-        else:
-            return x
+class SkoptLogger(object):
 
-    return {k: _convert(v) for k, v in params.items()}
+    def __init__(self, config, logger_fn):
+        self._config = config
+        self._logger_fn = logger_fn
+        self._last_time = time()
+
+        self.iter_times = []
+
+    def __call__(self, res):
+        if not self._logger_fn:
+            return
+
+        # calculate durations
+        elapsed_time = time() - self._last_time
+        self.iter_times.append(elapsed_time)
+        self._last_time = time()
+
+        x0 = res.x_iters  # list of input points
+        y0 = res.func_vals  # evaluation of input points
+
+        curr_iter = len(x0)
+        curr_x = x0[-1]
+        curr_y = y0[-1]
+        curr_min_score = -1 * res.fun
+        score = -1 * curr_y
+        params = _convert_param_types(self._config.param_dict_from_values(curr_x))
+
+        self._logger_fn(
+            iteration=curr_iter,
+            total_iterations=self._config.num_iterations,
+            score=score,
+            curr_min_score=curr_min_score,
+            duration=elapsed_time,
+            params=params)
 
 
 def merge_params(params):
@@ -157,7 +195,7 @@ def merge_params(params):
 
 
 def optimize_bm25(es, max_concurrent_searches, index, config, metric, templates,
-                  template_id, queries, qrels, query_params, logger_fn=None):
+                  template_id, queries, qrels, query_params, name=None, logger_fn=None):
 
     # initial points, assumes parameter order k1,b
     initial_points = [
@@ -166,7 +204,7 @@ def optimize_bm25(es, max_concurrent_searches, index, config, metric, templates,
     ]
 
     def objective_fn(trial_params):
-        set_bm25_parameters(es, index, **trial_params)
+        set_bm25_parameters(es, index, name=name, **trial_params)
         return -1 * search_and_evaluate(
             es, max_concurrent_searches, index, metric, templates, template_id,
             queries, qrels, params=query_params)
@@ -190,27 +228,21 @@ def optimize(config, objective_fn, initial_points=None, logger_fn=None):
     best_score = 0.0
     metadata = None
 
-    def skopt_logger(result):
-        x0 = result.x_iters  # list of input points
-        y0 = result.func_vals  # evaluation of input points
-
-        num_iters = len(x0)
-        params = config.param_dict_from_values(x0[-1])
-        params = _convert_param_types(params)
-        score = -1 * y0[-1]
-
-        if logger_fn:
-            logger_fn(num_iters, score, params)
+    logger = SkoptLogger(config, logger_fn)
 
     if config.selected_method == 'grid':
         grid_space = config.param_dict_from_values([list(dim.categories) for dim in config.space])
+        _last_time = time()
         for i, params in enumerate(list(ParameterGrid(grid_space))):
             # keep the same order as in the configuration to make reading logs easier
             ordered_params = {k: params[k] for k in config.dimension_names()}
             score = -1 * objective_fn(ordered_params)
 
             if logger_fn:
-                logger_fn(i + 1, score, ordered_params)
+                elapsed_time = time() - _last_time
+                _last_time = time()
+                # iteration, total_iterations, score, curr_min_score, duration, params
+                logger_fn(i + 1, config.num_iterations, score, best_score, elapsed_time, ordered_params)
 
             if score > best_score:
                 best_score = score
@@ -229,7 +261,7 @@ def list_based_objective_fn(param_values):
                           n_calls=config.num_iterations,  # total calls to func, includes initial points
                           n_initial_points=config.num_initial_points,  # random points to seed process
                           verbose=False,
-                          callback=[DeltaXStopper(0.001), skopt_logger],
+                          callback=[DeltaXStopper(0.001), logger],
                           x0=initial_points)
         best_params = config.param_dict_from_values(res.x)
         best_score = -1 * res.fun
@@ -263,12 +295,14 @@ def search_and_evaluate(es, max_concurrent_searches, index, metric, templates, t
     return results['metric_score']
 
 
-def set_bm25_parameters(es, index, k1, b):
+def set_bm25_parameters(es, index, k1, b, name=None):
+    if not name:
+        name = 'default'
     es.indices.close(index=index, ignore_unavailable=False)
     es.indices.put_settings(index=index, body={
         'index': {
             'similarity': {
-                'default': {
+                name: {
                     'type': 'BM25',
                     'k1': k1,
                     'b': b,
diff --git a/Machine Learning/Query Optimization/submissions/20210120-elastic-doc2query_optimized_most_fields/metadata.json b/Machine Learning/Query Optimization/submissions/20210120-elastic-doc2query_optimized_most_fields/metadata.json
new file mode 100644
index 00000000..797d91c8
--- /dev/null
+++ b/Machine Learning/Query Optimization/submissions/20210120-elastic-doc2query_optimized_most_fields/metadata.json	
@@ -0,0 +1,7 @@
+{
+  "team": "Josh Devins - Elastic",
+  "model_description": "Elasticsearch doc2query (T5) + optimized multi_match most_fields",
+  "paper": "https://www.elastic.co/blog/improving-search-relevance-with-data-driven-query-optimization",
+  "code": "https://github.com/elastic/examples/tree/master/Machine%20Learning/Query%20Optimization/",
+  "type": "full ranking"
+}
diff --git a/Machine Learning/Query Optimization/submissions/20210120-elastic-doc2query_optimized_most_fields/params.json b/Machine Learning/Query Optimization/submissions/20210120-elastic-doc2query_optimized_most_fields/params.json
new file mode 100644
index 00000000..5580355e
--- /dev/null
+++ b/Machine Learning/Query Optimization/submissions/20210120-elastic-doc2query_optimized_most_fields/params.json	
@@ -0,0 +1,9 @@
+{
+  "url|boost": 5.019618907965658,
+  "title|boost": 2.1715172653248564,
+  "title_bigrams|boost": 0.6258343432390224,
+  "body|boost": 8.97005088495938,
+  "body_bigrams|boost": 0.785011613141371,
+  "expansions|boost": 9.958043226768973,
+  "expansions_bigrams|boost": 2.6104666149721205
+}