* Bloom filter with tests
* has functions constant
* fix type
* isort
* passing ruff
* type hints
* type hints
* from fail to erro
* captital leter
* type hints requested by boot
* descriptive name for m
* more descriptibe arguments II
* moved movies_test to doctest
* commented doctest
* removed test_probability
* estimated error
* added types
* again hash_
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* from b to bloom
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* syntax error in dict comprehension
* from goodfather to godfather
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* pretty dict
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* Queue implementation using two Stacks
* fix typo in queue/queue_on_two_stacks.py
* add 'iterable' to queue_on_two_stacks initializer
* make queue_on_two_stacks.py generic class
* fix ruff-UP007 in queue_on_two_stacks.py
* enhance readability in queue_on_two_stacks.py
* Create queue_by_two_stacks.py
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* add torch to requirements
* add lenet architecture in pytorch
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* Add type hints to md5.py
* Rename some vars to snake case
* Specify functions imported from math
* Rename vars and functions to be more descriptive
* Make tests from test function into doctests
* Clarify more var names
* Refactor some MD5 code into preprocess function
* Simplify loop indices in get_block_words
* Add more detailed comments, docs, and doctests
* updating DIRECTORY.md
* updating DIRECTORY.md
* updating DIRECTORY.md
* updating DIRECTORY.md
* updating DIRECTORY.md
* Add type hints to md5.py
* Rename some vars to snake case
* Specify functions imported from math
* Rename vars and functions to be more descriptive
* Make tests from test function into doctests
* Clarify more var names
* Refactor some MD5 code into preprocess function
* Simplify loop indices in get_block_words
* Add more detailed comments, docs, and doctests
* updating DIRECTORY.md
* updating DIRECTORY.md
* updating DIRECTORY.md
* updating DIRECTORY.md
* Convert str types to bytes
* Add tests comparing md5_me to hashlib's md5
* Replace line-break backslashes with parentheses
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* Remove python_version < "3.11" for tensorflow
* Reenable neural_network/input_data.py_tf
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* Try to fix ruff
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* Try to fix ruff
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* updating DIRECTORY.md
* Fix mypy errors in lu_decomposition.py
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* Add explanation of LU decomposition and extra doctests
Add an explanation of LU decomposition with conditions for when an LU
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Add extra doctests to handle each of the possible conditions for when a
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* Update receive_file.py
Here are the changes I made:
Added the main() function and called it from if __name__ == "__main__" block. This makes it easier to test the code and import it into other programs.
Added socket.AF_INET as the first argument to socket.socket(). This specifies the address family to be used, which is necessary when using connect().
Changed print(f"{data = }") to print("Received:", len(data), "bytes"). This makes it clearer what's happening and how much data is being received.
Changed the final print statement to "Successfully received the file". This makes it more accurate and descriptive.
Moved the import statement to the top of the file. This is a common convention in Python.
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* added kadane's algorithm directory with one problem's solution.
* added type hints
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* Reduce the complexity of graphs/bi_directional_dijkstra.py
* Try to lower the --max-complexity threshold in the file .flake8
* Lower the --max-complexity threshold in the file .flake8
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* Try to lower max-complexity
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* add circular convolution
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* pre-commit: Upgrade psf/black for stable style 2023
Updating https://github.com/psf/black ... updating 22.12.0 -> 23.1.0 for their `2023 stable style`.
* https://github.com/psf/black/blob/main/CHANGES.md#2310
> This is the first [psf/black] release of 2023, and following our stability policy, it comes with a number of improvements to our stable style…
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