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The fundamental package for scientific computing with Python.
Home Page: https://www.numpy.org/
License: BSD 3-Clause "New" or "Revised" License
This project forked from numpy/numpy
The fundamental package for scientific computing with Python.
Home Page: https://www.numpy.org/
License: BSD 3-Clause "New" or "Revised" License
Manual branch coverage tool applied to pad function.
./numpy/numpy/lib/arraypad.py
In the coverage tool, the write to file was missed if an exception occurred. Due to this, those branches with exception was missed when logging.
To do: Add write to file before every exception, in every function to be tested.
Apply the manual branch coverage tool to the gradient function.
./numpy/numpy/lib/function_base.py
Manual branch coverage tool applied to buildcallback function.
./numpy/f2py/cb_rules.py
Refactor of buildcallback and scaninputline
import numpy as np
<< your code here >>
import numpy as np
<< your code here >>
Manual branch coverage tool applied to norm function.
./numpy/linalg/linalg.py
All the manually tested function will generate a file with all the branches taken, the coverage for every function needs to be calculated.
Manual branch coverage tool applied for polyfit.
./numpy/lib/polynomial.py
Write test for the qr-function.
./numpy/linalg/linalg.py
Manual branch coverage tool applied to array function.
./numpy/core/defchararray.py
write at least one test case for the array-function.
./numpy/core/defchararray.py
Manual branch coverage tool applied to qr function.
./numpy/linalg/linalg.py
add test case for the gradient-function.
./numpy/lib/funtion_base.py
Write at least one test case for the polyfit-function.
./numpy/lib/polynomial.py
Manual branch coverage tool applied to scaninputline function.
./numpy/f2py/f2pye.py
import numpy as np
<< your code here >>
Manual branch coverage tool applied to tensordot function.
./numpy/core/numeric.py
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