* feat(maths): add function to perform calculation
- Add single function to calculate sum of two positive numbers
using bitwise operator
* docs: add wikipedia url as explanation
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* Update sum_of_two_positive_numbers_bitwise.py
* Update sum_of_two_positive_numbers_bitwise.py
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* Update arc_length.py
Wrote the output of testcase
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* Add doctests to continued_fraction.py for 0 and neg nums
* Fix continued_fraction.py to work for negative nums
Fix continued_fraction.py to work for negative nums by replacing int() call with floor()
* Move comment in doctest
* Fix ruff errors
Renamed neural_network/input_data.py to neural_network/input_data.py_tf
because it should be left out of the directory for the following
reasons:
1. Its sole purpose is to be used by neural_network/gan.py_tf, which is
itself left out of the directory because of issues with TensorFlow.
2. It was taken directly from TensorFlow's codebase and is actually
already deprecated. If/when neural_network/gan.py_tf is eventually
re-added back to the directory, its implementation should be changed
to not use neural_network/input_data.py anyway.
* updating DIRECTORY.md
* Change input_data.py_tf file extension
Change input_data.py_tf file extension because algorithms-keeper bot is being picky about it
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* tanh function been added
* tanh function been added
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* tanh function added
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* tanh function is added
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* ELU activation function is added
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* elu activation is added
* ELU activation is added
* Update maths/elu_activation.py
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* Exponential_linear_unit activation is added
* Exponential_linear_unit activation is added
* SiLU activation is added
* SiLU activation is added
* mish added
* mish activation is added
* inter_quartile_range function is added
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* mish activation added
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* mish activation added
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* inter quartile range (IQR) function is added
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* IQR function is added
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* interquartile_range function is added
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* Update maths/interquartile_range.py
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* Changes on interquartile_range
* numpy removed from interquartile_range
* Fixes from code review
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* Input for user choose his Collatz sequence
Now the user can tell the algorithm what number he wants to run on the Collatz Sequence.
* updating DIRECTORY.md
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* tanh function been added
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* Create pi_generator.py
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* Updated commentary on line 28, added math.pi comparison & math.isclose() test
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* Removed # noqa: E501
* printf() added as recommended by cclaus
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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`.
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> 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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* add maths/Gcd of N Numbers
* add maths/Gcd of N Numbers
* add maths/Gcd of N Numbers
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* add maths/Gcd of N Numbers
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* add maths/Gcd of N Numbers
* add maths/Gcd of N Numbers
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* add maths/Gcd of N Numbers
* add maths/Gcd of N Numbers
* more pythonic
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* more pythonic
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* merged
* merged
* more readable
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* feat: Add `fib_recursive_cached` func
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* doc: Show difference in time when caching algorithm
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* Refactor bottom-up function to be class method
* Add type hints
* Update convolve function namespace
* Remove depreciated np.float
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* Renamed function for consistency
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* Remove extra imports in gamma.py doctests
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* feat: Add hexagonal number
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* feat: Add juggler sequence
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* refactor: Remove temp variable
* refactor: Change error type for negative numbers
* refactor: Remove # doctest: +NORMALIZE_WHITESPACE
* refactor: Remove int typecasting
* test: Add unit tests for n=10 and n=25
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* feat: Add twin prime algorithm
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* fix: Fix broken import statement
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* feat: Add pronic number implementation
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* feat: Add automorphic number implementation
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* refactor: Add type checking for number
* refactor: Rename variable n to number
* test: Add doctest
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* test: Add unit test for number=0
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