add extra dependencies in unit test config

Bumps [readthedocs-sphinx-search](https://github.com/readthedocs/readthedocs-sphinx-search) from 0.1.1 to 0.3.2.
- [Changelog](https://github.com/readthedocs/readthedocs-sphinx-search/blob/main/CHANGELOG.rst)
- [Commits](https://github.com/readthedocs/readthedocs-sphinx-search/compare/0.1.1...0.3.2

)

---
updated-dependencies:
- dependency-name: readthedocs-sphinx-search
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* Create deleteme.md

* Delete deleteme.md

* Change permissions to read in slash-command-dispatch.yml

* Automated autopep8 fixes

* Change BaseException to Exception

* remove backslash

* remove backslashes

* remove backslashes

* Automated autopep8 fixes

* Fix E501

* Fix backslash

* add ignore imports for autopep8

* restore numpy import

* Automated autopep8 fixes

* Fix E402

* Automated autopep8 fixes

* fix parentheses

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Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

* add fast topo

* fix fast topo

* Automated autopep8 fixes

* pep8

* add to initial assumption

* make code more clear in `fit` method

* add `fast_topoligical_features` to docs

* fix aligment for pipeline builders in `TSForecastingAssumptions`

* add topo to `FedotBuilder` docs

* fix table in docs

* add params to fast_topo

* change params and add it to tuner search space

* fix integration tests

* add new param stride

* fix param

* dirty speedup

* delete ica from initial assumption due to instability

* fix documentation

* fix test

* delete fast_topo from assumption and delete fast_train tag

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Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>

topo hotfix

TopologicalFeaturesImplementation was added

* Change permission to read in slash-command-dispatch.yml

* Change permission to none in slash-command-dispatch.yml

* Change trigger event from push to PR in autopep8.yml

* Fix test badges in Rus README

* Fix test badges in Eng README

* Create autopep8.yml

* Create slash-command-dispatch.yml

* Create fix-pep8-command.yml

* changed to not leave comment after fix

* Create PULL_REQUEST_TEMPLATE.md

* Create CONTRIBUTING.md

* Create CODE_OF_CONDUCT.md

* Create config.yml

* Create bug_report.md

* Create feature_request.md

* Create documentation.md

* set `sparse_lagged` window to autotune

* disable `test_models_does_not_fall_on_constant_data` for `cgru` (#1240)

* split `test_api_example` to some tests

* pep8

* increase data length for test

* add window size selector

* forbid lagged window mutation in `parameter_change_mutation`

* fix error with `ndim > 1`

* another way to default window size definition

* fix test

* fix problems with unproper window and fitted assumption

* fix lagged names in mutation

* pep8

* add tests

* add test

* new tests

* fix

* fix

* experiment

* experiment

* experiment

* experiment

* fix test

* Update fedot/core/composer/gp_composer/specific_operators.py

* Apply suggestions to lagged implementation from code review

* FIx test

* pep8

* Fix test

* API tests refactored

* CGRU test temporary disabled

* TSF example fix

* docs: add operations list

* fix: replace *Implementation with model labels

* fix: move model table to Models used section

* docs: divide preprocessing operations into selection, expansion, extraction

* feat: add available_operations to API

* feat: check all operations have doc reference

* fix: read doc file into a string in a documented ops check

* fix: join preprocessing ops into data transformation group

* fix: fedot native operations
Co-authored-by: Sergey <kus7466@gmail.com>

* fix: typos and operations problems

* feat: add presets to ops table

* feat: check all presets are documented

* fix: rm duplicate documented operations check

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Co-authored-by: Sergey <kus7466@gmail.com>

Add new check for time series specific primary node in pipeline.

Three examples about utilising Fedot API were added.

* added preparatory functions for fast_train check

* Remove fast_train preset and non-default tag from ransac_non_lin_reg

* Remove non-default tag from ransac_non_lin_reg

* Remove fast_train tag from diff_filter

* Form a test for checking fast_train preset

* Add secondary perfomance check for operations with fast_train preset

* Fix secondary fast_train check list copy

* speedup naive average

* update test

* Move perfomance evaluating function above the tests

* add `resample` and `one_hot_encoding` to skip list.py

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Co-authored-by: Sergey Kasyanov <kus7466@gmail.com>

* add workflow-dispatch

Preprocessor acceleration by @IIaKyJIuH & Ability to use single preprocessing from API by @apovidlo + other preprocessing fixes 

* fix f1 & precision evaluation

* rem flattening from QualityMetric._simple_prediction

* fix metrics hierarchy

* improve typing of QualityMetricCallable

* add tests for all supported types of metrics

* return **kwargs to complexity metrics

* use MetricCallable where it is appropriate

* tests: simplify regression pipeline, type hints & additional assertion

* remove __self__ from MetricCallable definition;
remove default value for metric_by_id

* rename & redo repository methods

* rename MetricType -> MetricIDType

* reorder module

* rename metrics repo module

* rename metrics test module

* update test data pipeline pickle

* correct typos

* adapt documentation

* fix inheritance

* add kwargs and metric() to complexity metrics

* better types for metrics_repository.py

* combine all metrics to a single test; add default values check

* unwrap pipeline predictions for time series

* fix confusing naming

* add fixture for expected values for faster tests

* remove test for binary classification

* add a less strict test for binary classification

* fix random seed for binary classification

* delete simple test for binary classification

* delete binary test from `test_metrics`

* fix structural_analysis_example.py

* make `test_metrics` fall if `update_expected_values=True`

* fix unused imports

* add `str` to `MetricIDType`

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Co-authored-by: kasyanovse <kus7466@gmail.com>

#1211 fix

* test_dict_multimodal_input_for_api fix

* fix pipeline_preprocessing_through_api_correctly

* change api_predict_correct train_data

* add metric to the notorious tests

* 1 trial

* + TODO

* fix problems with lagged window

* pep8

* pep8

* switch off boosting mutation due to some problem with it

* move some fixes for lagged window

* 2 trial

* 3 trial (partial)

* 3 trial (partial 2)

* Fix problems with hyperopt and data.numerical_idx

* Fix errors with uncorrect cat features

* Fix some problems with lagged window

* pep8

* small fix

* Fix last error

* Fix error with boosting strategy

* fix error with scaling

* fix misprint

* fix boosting classification

* fix of fix

* add comment

* fix catboost parameter error

* Fix some preprocessing operations

* Revert "Fix some preprocessing operations"

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Co-authored-by: Sergey Kasyanov <kus7466@gmail.com>

fix of bug with missing num_classes attribute in loaded cnn model

* Docs fix

Add GOLEM 0.4.0 to requirements.
Fix imports from GOLEM (https://github.com/aimclub/GOLEM/pull/230).

add InputData from pd and numpy

* create FedotBuilder

* add examples for FedotBuilder

* pep8 & comments

* clear main API docstring

* allow FedotBuilder to be imported directly from fedot

* write docstrings

* add keep_history param

* write tests

* add FedotBuilder to the documentation

Taking out Catboost model from SkLearnEvaluationStrategy into separate Boosting class strategy.

New features for CatBoost:

Converting data into Pool;
Fitting with eval_set, early_stopping_rounds and best_model;
Defining categoricat features for model;
Ploting features importances;
Saving/Loading model (required for implementation in Bagging method implementation to FEDOT #1005);
Updated search space.
Updates in data, preprocessing and data_split:

Storing not encoded categorical features (into OHE or LE) and using it where necessary;
Storing positions for different types of data (numeric, category and encoded);
Storing features names of dataset.

Fix Unserializable operation #1173 + new test
Fix Fedot cannot interpret n_jobs < -1 #1170 + new test (+ Add checks to determine_n_jobs and add test for it GOLEM#202)
Fix Lagged returns 1-dimensional target for forecast length = 1 #1159
Add test for Investigate performance for new data operations #262
Add verbose=0 for boosting models
Raise error if window_size is incorrect in LaggedImplementation.
Set non-default tag for CGRU and ransac_non_lin_reg due to high evaluation time.
Set non-default tag for CutImplementation due to specific type of operation.
Fix second point from Todo for pred_ints #1165
Set non-default tag for ExtraTreesRegressor and gbr due to more effective alternatives.

* move Fedot to the higher level of imports

* replace all imports of Fedot to `from fedot import Fedot`

Closes #259

Return default value with_tuning=True