* Remove eval from arithmetic_analysis/newton_raphson.py
* Relocate contents of arithmetic_analysis/
Delete the arithmetic_analysis/ directory and relocate its files because
the purpose of the directory was always ill-defined. "Arithmetic
analysis" isn't a field of math, and the directory's files contained
algorithms for linear algebra, numerical analysis, and physics.
Relocated the directory's linear algebra algorithms to linear_algebra/,
its numerical analysis algorithms to a new subdirectory called
maths/numerical_analysis/, and its single physics algorithm to physics/.
* updating DIRECTORY.md
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* updating DIRECTORY.md
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* updating DIRECTORY.md
* Fix deprecation warning in 2_hidden_layers_neural_network.py
Fix numpy deprecation warning:
DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)
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* Fix DeprecationWarning in local_weighted_learning.py
Fix DeprecationWarning that occurs during build due to converting an
np.ndarray to a scalar implicitly
* DeprecationWarning fix attempt 2
* Add type hints to k_nearest_neighbours.py
* Refactor k_nearest_neighbours.py into class
* Add documentation to k_nearest_neighbours.py
* Use heap-based priority queue for k_nearest_neighbours.py
* Delete knn_sklearn.py
* updating DIRECTORY.md
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* Fix mypy errors in erosion_operation.py
* Rename functions to use snake case
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* Fix function name in erosion_operation.py doctest
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* Move and reimplement convert_number_to_words.py
- Move convert_number_to_words.py from web_programming/ to conversions/
- Reimplement the algorithm from scratch because the logic was very
opaque and too heavily nested
- Add support for the Western numbering system (both short and long)
because the original implementation only supported the Indian
numbering system
- Add extensive doctests and error handling
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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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* Input for user choose his Collatz sequence
Now the user can tell the algorithm what number he wants to run on the Collatz Sequence.
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* Reimplement polynomial_regression.py
Rename machine_learning/polymonial_regression.py to
machine_learning/polynomial_regression.py
Reimplement machine_learning/polynomial_regression.py using numpy
because the old original implementation was just a how-to on doing
polynomial regression using sklearn
Add detailed function documentation, doctests, and algorithm
explanation
* updating DIRECTORY.md
* Fix matrix formatting in docstrings
* Try to fix failing doctest
* Debugging failing doctest
* Fix failing doctest attempt 2
* Remove unnecessary return value descriptions in docstrings
* Readd placeholder doctest for main function
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* Add note in CONTRIBUTING.md about not asking to be assigned to issues
Add a paragraph to CONTRIBUTING.md explicitly asking contributors to not ask to be assigned to issues
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* Update CONTRIBUTING.md
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* updating DIRECTORY.md
* Clarify wording in PR template
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* [pre-commit.ci] auto fixes from pre-commit.com hooks
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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
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* updating DIRECTORY.md
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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
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* 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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* Fix mypy errors in lu_decomposition.py
* Replace for-loops with comprehensions
* Add explanation of LU decomposition and extra doctests
Add an explanation of LU decomposition with conditions for when an LU
decomposition exists
Add extra doctests to handle each of the possible conditions for when a
decomposition exists/doesn't exist
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* Fix mypy errors in lorentz_transformation_four_vector.py
* Remove unused symbol vars
* Add function documentation and rewrite algorithm explanation
Previous explanation was misleading, as the code only calculates Lorentz
transformations for movement in the x direction (0 velocity in the y and
z directions) and not movement in any direction
* updating DIRECTORY.md
* Update error message for speed
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* Update sierpinski_triangle.py header doc
* Remove unused PROGNAME var in sierpinski_triangle.py
The PROGNAME var was used to print an image description in the reference
code that this implementation was taken from, but it's entirely unused
here
* Refactor triangle() function to not use list of vertices
Since the number of vertices is always fixed at 3, there's no need to
pass in the vertices as a list, and it's clearer to give the vertices
distinct names rather than index them from the list
* Refactor sierpinski_triangle.py to use tuples
Tuples make more sense than lists for storing coordinate pairs
* Flip if-statement condition in sierpinski_triangle.py to avoid nesting
* Add type hints to sierpinski_triangle.py
* Add doctests to sierpinski_triangle.py
* Fix return types in doctests
* Update fractals/sierpinski_triangle.py
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* updating DIRECTORY.md
* Format local_weighted_learning.py doctests for clarity
* Refactor local_weighted_learning.py to use np.array instead of np.mat
The np.matrix class is planned to be eventually depreciated in favor of
np.array, and current use of the class raises warnings in pytest
* Update local_weighted_learning.py documentation
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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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* Refactor bottom-up function to be class method
* Add type hints
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* Remove depreciated np.float
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* Renamed function for consistency
* updating DIRECTORY.md
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* Rewrite parts of Vector and Matrix methods
* Refactor determinant method and add unit tests
Refactor determinant method to create separate minor and cofactor
methods.
Add respective unit tests for new methods.
Rename methods using snake case to follow Python naming conventions.
* Reorganize Vector and Matrix methods
* Update linear_algebra/README.md
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* Fix punctuation and wording
* Apply suggestions from code review
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* Deduplicate euclidean length method for Vector
* Add more unit tests for Euclidean length method
* Fix bug in unit test for euclidean_length
* Remove old comments for magnitude method
* Rewrite maths/fibonacci.py
* Rewrite timer and add unit tests
* Fix typos in fib_binet unit tests
* Fix typos in fib_binet unit tests
* Clean main method
Co-authored-by: John Law <johnlaw.po@gmail.com>
* Rewrite parts of Vector and Matrix methods
* Refactor determinant method and add unit tests
Refactor determinant method to create separate minor and cofactor
methods.
Add respective unit tests for new methods.
Rename methods using snake case to follow Python naming conventions.
* Reorganize Vector and Matrix methods
* Update linear_algebra/README.md
Co-authored-by: John Law <johnlaw.po@gmail.com>
* Fix punctuation and wording
* Apply suggestions from code review
Co-authored-by: John Law <johnlaw.po@gmail.com>
* Deduplicate euclidean length method for Vector
* Add more unit tests for Euclidean length method
* Fix bug in unit test for euclidean_length
* Remove old comments for magnitude method
* Rewrite maths/fibonacci.py
* Rewrite timer and add unit tests
* Fix typos in fib_binet unit tests
* Fix typos in fib_binet unit tests
* Clean main method
* Merge fibonacci.py and fibonacci_sequence_recursion.py
* Fix fib_binet unit test
Co-authored-by: John Law <johnlaw.po@gmail.com>
* Rewrite parts of Vector and Matrix methods
* Refactor determinant method and add unit tests
Refactor determinant method to create separate minor and cofactor
methods.
Add respective unit tests for new methods.
Rename methods using snake case to follow Python naming conventions.
* Reorganize Vector and Matrix methods
* Update linear_algebra/README.md
Co-authored-by: John Law <johnlaw.po@gmail.com>
* Fix punctuation and wording
* Apply suggestions from code review
Co-authored-by: John Law <johnlaw.po@gmail.com>
* Deduplicate euclidean length method for Vector
* Add more unit tests for Euclidean length method
* Fix bug in unit test for euclidean_length
* Remove old comments for magnitude method
Co-authored-by: John Law <johnlaw.po@gmail.com>
* Rewrite parts of Vector and Matrix methods
* Refactor determinant method and add unit tests
Refactor determinant method to create separate minor and cofactor
methods.
Add respective unit tests for new methods.
Rename methods using snake case to follow Python naming conventions.
* Reorganize Vector and Matrix methods
* Update linear_algebra/README.md
Co-authored-by: John Law <johnlaw.po@gmail.com>
* Fix punctuation and wording
* Apply suggestions from code review
Co-authored-by: John Law <johnlaw.po@gmail.com>
Co-authored-by: John Law <johnlaw.po@gmail.com>
Tianyi Zhengandgithub-actions
