* DRAFT: GitHub Actions: Test on Python 3.12
Repeats #8777
* #8777
Some of our dependencies will not be ready yet.
* Python 3.12: Disable qiskit and tensorflow algorithms
* updating DIRECTORY.md
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* Create haralick_descriptors
* Working on creating Unit Testing for Haralick Descriptors module
* Type hinting for Haralick descriptors
* Fixed docstrings, unit testing and formatting choices
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* Fixed line size formatting
* Added final doctests
* Changed main callable
* Updated requirements.txt
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* Update computer_vision/haralick_descriptors.py
No! What if the Kernel is empty?
Example:
>>> kernel = np.zeros((1))
>>> kernel or np.ones((3, 3))
array([[1., 1., 1.],
[1., 1., 1.],
[1., 1., 1.]])
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* Undone wrong commit
* Update haralick_descriptors.py
* Apply suggestions from code review
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* Fix ruff errors in haralick_descriptors.py
* Add type hint to haralick_descriptors.py to fix ruff error
* Update haralick_descriptors.py
* Update haralick_descriptors.py
* Update haralick_descriptors.py
* Update haralick_descriptors.py
* Try to fix mypy errors in haralick_descriptors.py
* Update haralick_descriptors.py
* Fix type hint in haralick_descriptors.py
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* add torch to requirements
* add lenet architecture in pytorch
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* add type hints
* remove file
* add type hints
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* update variable name
* add fail test
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* add newline
* reformatting
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* Remove python_version < "3.11" for tensorflow
* Reenable neural_network/input_data.py_tf
* updating DIRECTORY.md
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* Try to fix ruff
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* Try to fix ruff
* Try to fix ruff
* Try to fix ruff
* Try to fix pre-commit
* Try to fix
* Fix
* Fix
* Reenable dynamic_programming/k_means_clustering_tensorflow.py_tf
* updating DIRECTORY.md
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* Try to fix ruff
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* Added BB84 algorithm.
* Function name lowercase + imports fix
I thought uppercase was appropriate because they're initials.
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* Update quantum/bb84.py
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* Removed python < 3.11 restriction from qiskit
* Removed python < 3.11 restriction from qiskit
* scikit-learn
* Update quantum/bb84.py
Correct typo in `default_rng()` call
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* refactor: Condense `password` related files in one
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* Update other/password.py
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* dynamic_programming
* test: Make test input `str`
* requirements.txt: Remove cython>=0.29.28 # For statsmodels on Python 3.11
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* refactor: Move pascals triange to maths/
* Update xgboost_classifier.py
* statsmodels is now compatible with Python 3.11
* statsmodels is now compatible with Python 3.11
* cython>=0.29.28
* cython>=0.29.28 # For statsmodels on Python 3.11
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* Add web program to fetch top 10 realtime billioners using forbes API.
* Provide return type to function.
* Use rich for tables and minor refactors.
* Fix tiny typo.
* Add the top {LIMIT} in rich table title.
* Update web_programming/get_top_billioners.py
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* Change the API path.
* Update get_top_billioners.py
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* Create quantum_random.py
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* Update quantum_random.py
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* Update quantum_random.py
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* Update quantum/quantum_random.py
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* Update quantum/quantum_random.py
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* Update quantum/quantum_random.py
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* Update quantum_random.py
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* Update quantum_random.py
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* requirements.txt: Add projectq
* Update quantum_random.py
* Update quantum/quantum_random.py
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* Update quantum_random.py
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* Update quantum_random.py
* Update quantum_random.py
* Update quantum/quantum_random.py
* Update quantum/quantum_random.py
* Update quantum_random.py
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* Add Equal Loudness Filter
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* NoneType return on __init__
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* Add data to JSON as requested by @CenTdemeern1 in a not very polite manner
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* 'modernize'
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* Update audio_filters/equal_loudness_filter.py
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* Update equal_loudness_filter.py
* Update equal_loudness_filter.py
* Finally!!
* Arrgghh
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* makes LRUCache constructor concrete
* fixes bug in dq_removal in other/least_recently_used
+ deque.remove() operates by value not index
* [mypy] Annotates other/least_recently_used over generic type
+ clean-up: rename key_reference to match type.
* [mypy] updates example to demonstrate LRUCache with complex type
* Adds doctest to other/least_recently_used
* mypy.ini: Remove exclude = (other/least_recently_used.py)
* Various mypy configs
* Delete mypy.ini
* Add mypy to .pre-commit-config.yaml
* mypy --ignore-missing-imports --install-types --non-interactive .
* mypy v0.910
* Pillow=8.3.7
* Pillow==8.3.7
* Pillow==8.3.2
* Update .pre-commit-config.yaml
* Update requirements.txt
* Update pre-commit.yml
* --install-types # See mirrors-mypy README.md
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* Improve solution
* Uncomment code that has been commented due to slow execution affecting Travis
* Fix
* scikit-fuzzy is causing broken builds
* fuzz = None
* Update fuzzy_operations.py
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* Added the matrix_exponentiation.py file in maths directory
* Implemented the requested changes
* Update matrix_exponentiation.py
* resolve merge conflict with upstream branch
* add new line at end of file
* add wavelet_tree
* fix isort issue
* updating DIRECTORY.md
* fix variable names in wavelet_tree and correct typo
* Add type hints and variable renaming
* Update data_structures/binary_tree/wavelet_tree.py
Add doctests to placate the algorithm-bot, thanks to @cclauss.
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* Move doctest to individual functions and reformat code
* Move common test array to the global scope and reuse in tests
* MMove test array to global scope and minor linting changes
* Correct the failing pytest tests
* MUse built-in list for type annotation
* Update wavelet_tree.py
* types-requests
* updating DIRECTORY.md
* Update wavelet_tree.py
* # type: ignore
* # type: ignore
* Update decrypt_caesar_with_chi_squared.py
* ,
* Update decrypt_caesar_with_chi_squared.py
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* add forecasting code
* add statsmodel
* sort import
* sort import fix
* fixing black
* sort requirement
* optimize code
* try with limited data
* sort again
* sort fix
* sort fix
* delete warning and black
* add code for forecasting
* use black
* add more hints to describe
* add doctest
* finding whitespace
* fixing doctest
* delete
* revert back
* revert back
* revert back again
* revert back again
* revert back again
* try trimming whitespace
* try adding doctypeand etc
* fixing reviews
* deleting all the space
* fixing the build
* delete x
* add description for safety checker
* deleting subscription integer
* fix docthint
* make def to use function parameters and return values
* make def to use function parameters and return values
* type hints on data safety checker
* optimize code
* Update run.py
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* Add pre-commit basic config file
* Add pre-commit to requirements.txt
* Small tweaks and use stable for black
* Fix isort section in pre-commit-config file
* Fix errors and EOF only for Python files
* Added Lstm example for stock predection
* Changes after review
* changes after build failed
* Add Kiera’s to requirements.txt
* requirements.txt: Add keras and tensorflow
* psf/black
Co-authored-by: Christian Clauss <cclauss@me.com>
* Travis CI: Upgrade to Python 3.8
* updating DIRECTORY.md
* Tensorflow is not yet compatible with Python 3.8
* Disable k_means_clustering_tensorflow.py
* updating DIRECTORY.md
* Disable gan.py
* updating DIRECTORY.md
* Disable input_data.py
* updating DIRECTORY.md
* pip install a current version of six
* Python program that scrufs 3 site at a time
add input in the compiling time like -- python3 project1.py (man)
* Update project1.py
* noqa: F401 and reformat with black
* Rename project1.py to web_programming/crawl_google_results.py
* Add beautifulsoup4 to requirements.txt
* Add fake_useragent to requirements.txt
* Update crawl_google_results.py
* headers={"UserAgent": UserAgent().random}
* html.parser, not lxml
* link, not links
* Travis CI: Add pytest --doctest-modules neural_network
Fixes#987
```
neural_network/perceptron.py:123: in <module>
sample.insert(i, float(input('value: ')))
../lib/python3.7/site-packages/_pytest/capture.py:693: in read
raise IOError("reading from stdin while output is captured")
E OSError: reading from stdin while output is captured
-------------------------------------------------------------------------------- Captured stdout --------------------------------------------------------------------------------
('\nEpoch:\n', 399)
------------------------
value:
```
* Adding fix from #1056 -- thanks @QuantumNovice
* if __name__ == '__main__':
* pytest --ignore=virtualenv # do not test our dependencies
* Pytest the entire repo
* Do each directory for now...
* YAML files hate tabs
* Add more requirements
* pip install opencv-python
* Comment out FTP
* Add pandas and sklearn to requirements
* Comment out FTP, graphs, machine_learning, maths, neural_network, project_euler
* Update .travis.yml
* Comment out Data structures
* if __name__ == "__main__":
* pytest --ignore=
* pytest .
* Update .travis.yml
* pytest . --doctest-modules --ignore=${IGNORE}
* Ignore --ignore because it just hangs
