* 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.
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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 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
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* ruff --fix
* Add type hints
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* fix issue #8715
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* Solving the `Top k most frequent words` problem using a max-heap
* Mentioning Python standard library solution in `Top k most frequent words` docstring
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* Bloom filter with tests
* has functions constant
* fix type
* isort
* passing ruff
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* 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
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* syntax error in dict comprehension
* from goodfather to godfather
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This reverts commit 35fa5f5c4b.
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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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* 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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* added radix tree to data structures
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* added description for delete function
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* Description of DOuble hasing
* Fix sheebang
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* feat: Implement binary tree path sum (#7135)
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* refactor: Rename `dfs` to `depth_first_search`
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* Different views of binary tree added
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* feat: Binary tree node sum (#7020)
* feat: Sum of all nodes in binary tree explanation (#7020)
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