* Added new algorithm which takes points as an input and outputs a polynom connecting them
* Rename Python-Polynom-for-points.py to python-polynom-for-points.py
* Update python-polynom-for-points.py
* Update python-polynom-for-points.py
* Update python-polynom-for-points.py
* Update python-polynom-for-points.py
* Update python-polynom-for-points.py
* Update python-polynom-for-points.py
* Update python-polynom-for-points.py
* Add doctests and run thru psf/black
* Travis CI: Add pytest --doctest-modules neural_network
Fixes#987
```
neural_network/perceptron.py:123: in <module>
sample.insert(i, float(input('value: ')))
../lib/python3.7/site-packages/_pytest/capture.py:693: in read
raise IOError("reading from stdin while output is captured")
E OSError: reading from stdin while output is captured
-------------------------------------------------------------------------------- Captured stdout --------------------------------------------------------------------------------
('\nEpoch:\n', 399)
------------------------
value:
```
* Adding fix from #1056 -- thanks @QuantumNovice
* if __name__ == '__main__':
* pytest --ignore=virtualenv # do not test our dependencies
* added sample file to transfer
* split client and server into separate files
* client and server now work in python2
* server works on python3
* client works on python3
* allow configurable ONE_CONNECTION_ONLY for testing server
* allow testing of ftp server + client
* use f-strings
* removed single letter vars
* fixed bad quote marks
* clearer file handler names
* 'with open() as' syntax
* unicode and emojis in the test data
* s -> sock
* consistent comment spacing
* remove closing formalities
* swap in and out_file
* f-string
* if __name__ == '__main__':
* Create Quadratic Equations(Complexes Numbers)
Created function that solves quadratic equations treating the cases with complexes numbers. Giving an answer with the imaginary unit "i".
* Update Quadratic Equations(Complexes Numbers)
Since there was no response from the owner of this PR, I made this little change which I hope will solve the issue!
* Added print function into matrix_multiplication_addition.py and removed blank space in data_structures/binary tree directory
* Removed .vs/ folder per #893
* Rename matrix_multiplication_addition.py to matrix_operation.py
* Unicode test on strings/rabin_karp.py per #1067
* bin(num) can convert ZERO and negative decimal numbers to binary. Consistent with built-in python bin(x) function.
* bin(num) can convert ZERO and negative decimal numbers to binary. Consistent with built-in python bin(x) function.
* Added doctests. bin(num) can convert ZERO and negative decimal numbers to binary. Consistent with built-in python bin(x) function.
* Added doctests. bin(num) can convert ZERO and negative decimal numbers to binary. Consistent with built-in python bin(x) function.
* Added doctests. bin(num) can convert ZERO and negative decimal numbers to binary. Consistent with built-in python bin(x) function.
* doctests still failing.
* Doctests added.
* Update tim_sort.py
Update tim_sort.py
The previous algorithm was skipping numbers, according to issue #959, and my own tests.
The version I am applying uses a while loop, which works correctly and is easier to compute, as there is no break statement.
* Update tim_sort.py
* Add Lucas_Lehmer_primality_test
* Add explanation for Lucas_Lehmer_primality_test
* Update and rename Lucas_Lehmer_primality_test.py to lucas_lehmer_primality_test.py
* LargestOfVeryLargeNumbers
Finds the largest among two very large numbers of the form x^y. Numbers like 512^513 etc
* Rename LargestOfVeryLargeNumbers to LargestOfVeryLargeNumbers.py
* Input() statements have been indented.
input() statements are indented under if __name__ == "__main__":
* largest_of_very_large_numbers.py
* added automated doctest to decimal_to_hexadecimal.py in conversions
* improved error handling and added more test cases in decimal_to_hexadecimal.py
* implemented 0x notation and simplified AssertionError
* fixed negative notation and added comparison test against Python hex function
Both of the two files implemented sieve of eratosthenes.
However, there was a bug in other/finding_primes.py, and the time complexity was larger than the other.
Therefore, remove other/finding_primes.py and add doctest tomaths/sieve_of_eratosthenes.py.
* Added matrix exponentiation approach for finding fibonacci number.
* Implemented the way of finding nth fibonacci.
* Complexity is about O(log(n)*8)
* Updated the matrix exponentiation approach of finding nth fibonacci.
- Removed some extra spaces
- Added the complexity of bruteforce algorithm
- Removed unused function called zerro()
- Added some docktest based on request
* Updated the matrix exponentiation approach of finding nth fibonacci.
- Removed some extra spaces
- Added the complexity of bruteforce algorithm
- Removed unused function called zerro()
- Added some docktest based on request
* Updated Rabin Karp algorithm.
- Previous solution is based on the hash function of python.
- Implemented ruling hash to get the appropriate complexity of rabin karp.
* Updated Rabin Karp algorithm.
- Previous solution is based on the hash function of python.
- Implemented ruling hash to get the appropriate complexity of rabin karp.
* Implemented ruling hash to appropriate complexity of Rabin Karp
Added unit pattern testing
* rotate_matrix.py: Add type hints for return values
@obelisk0114 Your review please?
* Fix typo
* Run the code thru python/black
https://github.com/python/black
* Fix 270 comment
* Simplify with get_data() and test the alternatives
* ) * 3
* Update rotate_matrix.py
* Update rotate_matrix.py
* Update matrix_operation.py
1. Adding error checks for integer inputs
2. Adding error checks for matrix operations where size requirements do not match up
3. Added matrix subtraction function
4. included error check so only integer is passed into identity function
* Create test_matrix_operation.py
* Update matrix_ops and Add Test Cases
1. Included error checks in matrix operation. There were some cases where the functions would not work correctly.
2. PEP8 changes to matrix_operations.py
3. added test cases for matrix operations using pytest.
* Update pytest.ini
Add carriage return to end of file
@AnupKumarPanwar @ParthS007 @poyea Could I please get a quick review on this one because I made a mistake here that breaks the build for new pull requests.
* Added matrix exponentiation approach for finding fibonacci number.
* Implemented the way of finding nth fibonacci.
* Complexity is about O(log(n)*8)
* Updated the matrix exponentiation approach of finding nth fibonacci.
- Removed some extra spaces
- Added the complexity of bruteforce algorithm
- Removed unused function called zerro()
- Added some docktest based on request
* Updated the matrix exponentiation approach of finding nth fibonacci.
- Removed some extra spaces
- Added the complexity of bruteforce algorithm
- Removed unused function called zerro()
- Added some docktest based on request
* Tighten up main() and add comments on performance
* Added doctest and more explanation about Dijkstra execution.
* tests were not passing with python2 due to missing __init__.py file at number_theory folder
* Removed the dot at the beginning of the imported modules names because 'python3 -m doctest -v data_structures/hashing/*.py' and 'python3 -m doctest -v data_structures/stacks/*.py' were failing not finding hash_table.py and stack.py modules.
* Moved global code to main scope and added doctest for project euler problems 1 to 14.
* Added test case for negative input.
* Changed N variable to do not use end of line scape because in case there is a space after it the script will break making it much more error prone.
* Added problems description and doctests to the ones that were missing. Limited line length to 79 and executed python black over all scripts.
* Changed the way files are loaded to support pytest call.
* Added __init__.py to problems to make them modules and allow pytest execution.
* Added project_euler folder to test units execution
* Changed 'os.path.split(os.path.realpath(__file__))' to 'os.path.dirname()'
* Added Burrows-Wheeler transform algorithm.
* Added changes suggested by cclauss
* Fixes for issue 'Fix the LGTM issues #1024'.
* Added doctest for different parameter types and negative values.
* Fixed doctest issue added at last commit.
* Commented doctest that were causing slowness at Travis.
* Added comment with the reason for some doctest commented.
* pytest --ignore
* Added tests execution again.
* Had forgotten to add comment to file project_euler/problem_09/sol3.py
