* rsa key doctest
* move doctest to module docstring
* all tests to doctest
* moved is_right to property
* is right test
* fixed rsa doctest import
* Test error when deleting non-existing element
* fixing ruff EM102
* convert property 'is_right' to one-liner
Also use 'is' instead of '=='
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* child instead of children
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* remove type hint
* Update data_structures/binary_tree/binary_search_tree.py
---------
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* fix: typo
#8770
* refactor: delete unnecessary continue
* add test grids
* fix: add \_\_eq\_\_ in Node class
#8770
* fix: delete unnecessary code
- node in self.open_nodes is always better node
#8770
* fix: docstring
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* fix: docstring max length
* refactor: get the successors using a list comprehension
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* Added functions to calculate temperature of an ideal gas and number of moles of an ideal gas
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* Update physics/ideal_gas_law.py
Renamed function name
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* Update physics/ideal_gas_law.py
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* Update physics/ideal_gas_law.py
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* Update ideal_gas_law.py
Updated incorrect function calls moles of gas system doctests
* Update physics/ideal_gas_law.py
---------
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* Reduce the complexity of linear_algebra/src/polynom_for_points.py
* updating DIRECTORY.md
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* Fix
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* 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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* 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
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* SiLU activation 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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* The window will now remain open after the fractal is finished being drawn, and will only close upon your click.
* Update fractals/sierpinski_triangle.py
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* Input for user choose his Collatz sequence
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* updating DIRECTORY.md
---------
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* enhance the implementation of queue using list
* enhance readability of queue_on_list.py
* rename 'queue_on_list' to 'queue_by_list' to match the class name
* Fix greyscale computation and inverted coords
* Fix test
* Add test cases
* Add reference to the greyscaling formula
---------
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* Added file basic_orbital_capture
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* added second source
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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
* Fix typo in algorithm description
---------
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* Fix insertion fail in ["*X", "*XX"] cases
Consider a word, and a copy of that word, but with the last letter repeating twice. (e.g., ["ABC", "ABCC"])
When adding the second word's last letter, it only compares the previous word's prefix—the last letter of the word already in the Radix Tree: 'C'—and the letter to be added—the last letter of the word we're currently adding: 'C'. So it wrongly passes the "Case 1" check, marks the current node as a leaf node when it already was, then returns when there's still one more letter to add.
The issue arises because `prefix` includes the letter of the node itself. (e.g., `nodes: {'C' : RadixNode()}, is_leaf: True, prefix: 'C'`) It can be easily fixed by simply adding the `is_leaf` check, asking if there are more letters to be added.
- Test Case: `"A AA AAA AAAA"`
- Fixed correct output:
```
Words: ['A', 'AA', 'AAA', 'AAAA']
Tree:
- A (leaf)
-- A (leaf)
--- A (leaf)
---- A (leaf)
```
- Current incorrect output:
```
Words: ['A', 'AA', 'AAA', 'AAAA']
Tree:
- A (leaf)
-- AA (leaf)
--- A (leaf)
```
*N.B.* This passed test cases for [Croatian Open Competition in Informatics 2012/2013 Contest #3 Task 5 HERKABE](https://hsin.hr/coci/archive/2012_2013/)
* Add a doctest for previous fix
* improve doctest readability
* 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
* Update CONTRIBUTING.md
* Update CONTRIBUTING.md
---------
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