* Create q_full_adder.py
This is for the #Hacktoberfest.
This circuit is the quantum full adder. I saw that in the repo is the half adder so I decided to build the full adder to complete the set of adders.
I hope that this is enough to be consider a contribution.
Best,
Kevin
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* Erase the unused numpy library
* Create the doctest.
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* doctest for negative numbers, float, etc.
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* Update README.md
Added Google Cirq references
* Create barcode_validator.py
Barcode/EAN validator
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* Update barcode_validator.py
Included docstring and updated variables to snake_case
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Included docset and updated bugs
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Implemented the changes asked in review.
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Updated with f-string format
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* The black formatter is no longer beta
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* pre-commit autoupdate
* Remove project_euler/problem_145 which is killing our CI tests
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* Approve functions used as default argumenets
* The default value for **seed** is the result of a function call
The default value for **seed** is the result of a function call which is not normally recommended and causes flake8-bugbear to raise a B008 error. However, in this case, it is accptable because `LinearCongruentialGenerator.__init__()` will only be called once per instance and it ensures that each instance will generate a unique sequence of numbers.
* The default value for **backend** is the result of a function call
The default value for **backend** is the result of a function call which is not normally recommended and causes flake8-bugbear to raise a B008 error. However, in this case, it is accptable because `Aer.get_backend()` is called when the function is definition and that same backend is then reused for function calls.
* Update linear_congruential_generator.py
* Update ripple_adder_classic.py
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* Update ripple_adder_classic.py
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* requirements: add qiskit
major library required for quantum computing
* quantum: add quantum ripple adder implementation
right now we are essentially performing the same task as a classic ripple adder
Signed-off-by: rupansh-arch <rupanshsekar@hotmail.com>
* Trying to time every solution
* Proposal 2 for timing PE solutions:
- Use pytest fixture along with --capture=no flag to print out the
top DURATIONS slowest solution at the end of the test sessions.
- Remove the print part and try ... except ... block from the test
function.
* Proposal 3 for timing PE solutions:
Completely changed the way I was performing the tests. Instead of
parametrizing the problem numbers and expected output, I will
parametrize the solution file path.
Steps:
- Collect all the solution file paths
- Convert the paths into a Python module
- Call solution on the module
- Assert the answer with the expected results
For assertion, it was needed to convert the JSON list object to
Python dictionary object which required changing the JSON file itself.
* Add type hints for variables
* Fix whitespace in single_qubit_measure
* Create Python/quantum/README.md
Started at #1831
* fixup! Format Python code with psf/black push
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