TClass::GetCheckSum fix for returned arugment #93
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If the GetCheckSum value was already cached then the argument passed to the function was not set. This now properly sets the value.
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Author
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@pcanal This fixes the problem I reported on the email thread: |
Member
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Oups. You are correct. Sorry for the confusion. Patch pushed to the repository. |
Closed
guitargeek
added a commit
to guitargeek/root
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this pull request
Dec 23, 2025
The new NumPy 2.4.0 is more strict when implicitly converting 1-element arrays to scalars. It doesn't do that anymore, causing the TF1 Pythonization tests to fail (see log below). This actually pointed to a real mistake in setting up the test, where a 2D array was used to define the TFormula parameters while it should be a 1D array. ```txt 962/3718 Test root-project#93: pyunittests-bindings-pyroot-pythonizations-pyroot-pyz-tf-pycallables ..............................***Failed 3.05 sec test_callable (tf_pycallables.TF1.test_callable) Test function provided as callable ... ok test_evalpar (tf_pycallables.TF1.test_evalpar) Test the 2D Numpy array pythonizations for TF1::EvalPar ... ERROR test_evalpar_dynamic (tf_pycallables.TF1.test_evalpar_dynamic) Test the 2D NumPy pythonizations with dynamic TF1 data dimensions ... ok test_fitgauss (tf_pycallables.TF1.test_fitgauss) Test fitting a histogram to a Python function ... ok test_identity (tf_pycallables.TF1.test_identity) Test simple function without parameters ... ok test_params (tf_pycallables.TF1.test_params) Test function with parameters ... ok test_params (tf_pycallables.TF2.test_params) Test function with parameters ... ok test_params (tf_pycallables.TF3.test_params) Test function with parameters ... ok ====================================================================== ERROR: test_evalpar (tf_pycallables.TF1.test_evalpar) Test the 2D Numpy array pythonizations for TF1::EvalPar ---------------------------------------------------------------------- Traceback (most recent call last): File "/github/home/ROOT-CI/src/bindings/pyroot/pythonizations/test/tf_pycallables.py", line 129, in test_evalpar expected_value = pyf_tf1_coulomb(x[i, ::2], params) File "/github/home/ROOT-CI/src/bindings/pyroot/pythonizations/test/tf_pycallables.py", line 33, in pyf_tf1_coulomb return p[1] * x[0] * x[1] / (p[0]**2) * math.exp(-p[2] / p[0]) ~~~~~~~~^^^^^^^^^^^^^^ TypeError: only 0-dimensional arrays can be converted to Python scalars ---------------------------------------------------------------------- Ran 8 tests in 1.469s FAILED (errors=1) CMake Error at /github/home/ROOT-CI/src/cmake/modules/RootTestDriver.cmake:232 (message): error code: 1 ```
guitargeek
added a commit
that referenced
this pull request
Dec 23, 2025
The new NumPy 2.4.0 is more strict when implicitly converting 1-element arrays to scalars. It doesn't do that anymore, causing the TF1 Pythonization tests to fail (see log below). This actually pointed to a real mistake in setting up the test, where a 2D array was used to define the TFormula parameters while it should be a 1D array. ```txt 962/3718 Test #93: pyunittests-bindings-pyroot-pythonizations-pyroot-pyz-tf-pycallables ..............................***Failed 3.05 sec test_callable (tf_pycallables.TF1.test_callable) Test function provided as callable ... ok test_evalpar (tf_pycallables.TF1.test_evalpar) Test the 2D Numpy array pythonizations for TF1::EvalPar ... ERROR test_evalpar_dynamic (tf_pycallables.TF1.test_evalpar_dynamic) Test the 2D NumPy pythonizations with dynamic TF1 data dimensions ... ok test_fitgauss (tf_pycallables.TF1.test_fitgauss) Test fitting a histogram to a Python function ... ok test_identity (tf_pycallables.TF1.test_identity) Test simple function without parameters ... ok test_params (tf_pycallables.TF1.test_params) Test function with parameters ... ok test_params (tf_pycallables.TF2.test_params) Test function with parameters ... ok test_params (tf_pycallables.TF3.test_params) Test function with parameters ... ok ====================================================================== ERROR: test_evalpar (tf_pycallables.TF1.test_evalpar) Test the 2D Numpy array pythonizations for TF1::EvalPar ---------------------------------------------------------------------- Traceback (most recent call last): File "/github/home/ROOT-CI/src/bindings/pyroot/pythonizations/test/tf_pycallables.py", line 129, in test_evalpar expected_value = pyf_tf1_coulomb(x[i, ::2], params) File "/github/home/ROOT-CI/src/bindings/pyroot/pythonizations/test/tf_pycallables.py", line 33, in pyf_tf1_coulomb return p[1] * x[0] * x[1] / (p[0]**2) * math.exp(-p[2] / p[0]) ~~~~~~~~^^^^^^^^^^^^^^ TypeError: only 0-dimensional arrays can be converted to Python scalars ---------------------------------------------------------------------- Ran 8 tests in 1.469s FAILED (errors=1) CMake Error at /github/home/ROOT-CI/src/cmake/modules/RootTestDriver.cmake:232 (message): error code: 1 ```
guitargeek
added a commit
to guitargeek/root
that referenced
this pull request
Dec 23, 2025
The new NumPy 2.4.0 is more strict when implicitly converting 1-element arrays to scalars. It doesn't do that anymore, causing the TF1 Pythonization tests to fail (see log below). This actually pointed to a real mistake in setting up the test, where a 2D array was used to define the TFormula parameters while it should be a 1D array. ```txt 962/3718 Test root-project#93: pyunittests-bindings-pyroot-pythonizations-pyroot-pyz-tf-pycallables ..............................***Failed 3.05 sec test_callable (tf_pycallables.TF1.test_callable) Test function provided as callable ... ok test_evalpar (tf_pycallables.TF1.test_evalpar) Test the 2D Numpy array pythonizations for TF1::EvalPar ... ERROR test_evalpar_dynamic (tf_pycallables.TF1.test_evalpar_dynamic) Test the 2D NumPy pythonizations with dynamic TF1 data dimensions ... ok test_fitgauss (tf_pycallables.TF1.test_fitgauss) Test fitting a histogram to a Python function ... ok test_identity (tf_pycallables.TF1.test_identity) Test simple function without parameters ... ok test_params (tf_pycallables.TF1.test_params) Test function with parameters ... ok test_params (tf_pycallables.TF2.test_params) Test function with parameters ... ok test_params (tf_pycallables.TF3.test_params) Test function with parameters ... ok ====================================================================== ERROR: test_evalpar (tf_pycallables.TF1.test_evalpar) Test the 2D Numpy array pythonizations for TF1::EvalPar ---------------------------------------------------------------------- Traceback (most recent call last): File "/github/home/ROOT-CI/src/bindings/pyroot/pythonizations/test/tf_pycallables.py", line 129, in test_evalpar expected_value = pyf_tf1_coulomb(x[i, ::2], params) File "/github/home/ROOT-CI/src/bindings/pyroot/pythonizations/test/tf_pycallables.py", line 33, in pyf_tf1_coulomb return p[1] * x[0] * x[1] / (p[0]**2) * math.exp(-p[2] / p[0]) ~~~~~~~~^^^^^^^^^^^^^^ TypeError: only 0-dimensional arrays can be converted to Python scalars ---------------------------------------------------------------------- Ran 8 tests in 1.469s FAILED (errors=1) CMake Error at /github/home/ROOT-CI/src/cmake/modules/RootTestDriver.cmake:232 (message): error code: 1 ``` (cherry picked from commit d5135f7)
guitargeek
added a commit
to guitargeek/root
that referenced
this pull request
Dec 23, 2025
The new NumPy 2.4.0 is more strict when implicitly converting 1-element arrays to scalars. It doesn't do that anymore, causing the TF1 Pythonization tests to fail (see log below). This actually pointed to a real mistake in setting up the test, where a 2D array was used to define the TFormula parameters while it should be a 1D array. ```txt 962/3718 Test root-project#93: pyunittests-bindings-pyroot-pythonizations-pyroot-pyz-tf-pycallables ..............................***Failed 3.05 sec test_callable (tf_pycallables.TF1.test_callable) Test function provided as callable ... ok test_evalpar (tf_pycallables.TF1.test_evalpar) Test the 2D Numpy array pythonizations for TF1::EvalPar ... ERROR test_evalpar_dynamic (tf_pycallables.TF1.test_evalpar_dynamic) Test the 2D NumPy pythonizations with dynamic TF1 data dimensions ... ok test_fitgauss (tf_pycallables.TF1.test_fitgauss) Test fitting a histogram to a Python function ... ok test_identity (tf_pycallables.TF1.test_identity) Test simple function without parameters ... ok test_params (tf_pycallables.TF1.test_params) Test function with parameters ... ok test_params (tf_pycallables.TF2.test_params) Test function with parameters ... ok test_params (tf_pycallables.TF3.test_params) Test function with parameters ... ok ====================================================================== ERROR: test_evalpar (tf_pycallables.TF1.test_evalpar) Test the 2D Numpy array pythonizations for TF1::EvalPar ---------------------------------------------------------------------- Traceback (most recent call last): File "/github/home/ROOT-CI/src/bindings/pyroot/pythonizations/test/tf_pycallables.py", line 129, in test_evalpar expected_value = pyf_tf1_coulomb(x[i, ::2], params) File "/github/home/ROOT-CI/src/bindings/pyroot/pythonizations/test/tf_pycallables.py", line 33, in pyf_tf1_coulomb return p[1] * x[0] * x[1] / (p[0]**2) * math.exp(-p[2] / p[0]) ~~~~~~~~^^^^^^^^^^^^^^ TypeError: only 0-dimensional arrays can be converted to Python scalars ---------------------------------------------------------------------- Ran 8 tests in 1.469s FAILED (errors=1) CMake Error at /github/home/ROOT-CI/src/cmake/modules/RootTestDriver.cmake:232 (message): error code: 1 ``` (cherry picked from commit d5135f7)
guitargeek
added a commit
that referenced
this pull request
Dec 24, 2025
The new NumPy 2.4.0 is more strict when implicitly converting 1-element arrays to scalars. It doesn't do that anymore, causing the TF1 Pythonization tests to fail (see log below). This actually pointed to a real mistake in setting up the test, where a 2D array was used to define the TFormula parameters while it should be a 1D array. ```txt 962/3718 Test #93: pyunittests-bindings-pyroot-pythonizations-pyroot-pyz-tf-pycallables ..............................***Failed 3.05 sec test_callable (tf_pycallables.TF1.test_callable) Test function provided as callable ... ok test_evalpar (tf_pycallables.TF1.test_evalpar) Test the 2D Numpy array pythonizations for TF1::EvalPar ... ERROR test_evalpar_dynamic (tf_pycallables.TF1.test_evalpar_dynamic) Test the 2D NumPy pythonizations with dynamic TF1 data dimensions ... ok test_fitgauss (tf_pycallables.TF1.test_fitgauss) Test fitting a histogram to a Python function ... ok test_identity (tf_pycallables.TF1.test_identity) Test simple function without parameters ... ok test_params (tf_pycallables.TF1.test_params) Test function with parameters ... ok test_params (tf_pycallables.TF2.test_params) Test function with parameters ... ok test_params (tf_pycallables.TF3.test_params) Test function with parameters ... ok ====================================================================== ERROR: test_evalpar (tf_pycallables.TF1.test_evalpar) Test the 2D Numpy array pythonizations for TF1::EvalPar ---------------------------------------------------------------------- Traceback (most recent call last): File "/github/home/ROOT-CI/src/bindings/pyroot/pythonizations/test/tf_pycallables.py", line 129, in test_evalpar expected_value = pyf_tf1_coulomb(x[i, ::2], params) File "/github/home/ROOT-CI/src/bindings/pyroot/pythonizations/test/tf_pycallables.py", line 33, in pyf_tf1_coulomb return p[1] * x[0] * x[1] / (p[0]**2) * math.exp(-p[2] / p[0]) ~~~~~~~~^^^^^^^^^^^^^^ TypeError: only 0-dimensional arrays can be converted to Python scalars ---------------------------------------------------------------------- Ran 8 tests in 1.469s FAILED (errors=1) CMake Error at /github/home/ROOT-CI/src/cmake/modules/RootTestDriver.cmake:232 (message): error code: 1 ``` (cherry picked from commit d5135f7)
guitargeek
added a commit
that referenced
this pull request
Dec 24, 2025
The new NumPy 2.4.0 is more strict when implicitly converting 1-element arrays to scalars. It doesn't do that anymore, causing the TF1 Pythonization tests to fail (see log below). This actually pointed to a real mistake in setting up the test, where a 2D array was used to define the TFormula parameters while it should be a 1D array. ```txt 962/3718 Test #93: pyunittests-bindings-pyroot-pythonizations-pyroot-pyz-tf-pycallables ..............................***Failed 3.05 sec test_callable (tf_pycallables.TF1.test_callable) Test function provided as callable ... ok test_evalpar (tf_pycallables.TF1.test_evalpar) Test the 2D Numpy array pythonizations for TF1::EvalPar ... ERROR test_evalpar_dynamic (tf_pycallables.TF1.test_evalpar_dynamic) Test the 2D NumPy pythonizations with dynamic TF1 data dimensions ... ok test_fitgauss (tf_pycallables.TF1.test_fitgauss) Test fitting a histogram to a Python function ... ok test_identity (tf_pycallables.TF1.test_identity) Test simple function without parameters ... ok test_params (tf_pycallables.TF1.test_params) Test function with parameters ... ok test_params (tf_pycallables.TF2.test_params) Test function with parameters ... ok test_params (tf_pycallables.TF3.test_params) Test function with parameters ... ok ====================================================================== ERROR: test_evalpar (tf_pycallables.TF1.test_evalpar) Test the 2D Numpy array pythonizations for TF1::EvalPar ---------------------------------------------------------------------- Traceback (most recent call last): File "/github/home/ROOT-CI/src/bindings/pyroot/pythonizations/test/tf_pycallables.py", line 129, in test_evalpar expected_value = pyf_tf1_coulomb(x[i, ::2], params) File "/github/home/ROOT-CI/src/bindings/pyroot/pythonizations/test/tf_pycallables.py", line 33, in pyf_tf1_coulomb return p[1] * x[0] * x[1] / (p[0]**2) * math.exp(-p[2] / p[0]) ~~~~~~~~^^^^^^^^^^^^^^ TypeError: only 0-dimensional arrays can be converted to Python scalars ---------------------------------------------------------------------- Ran 8 tests in 1.469s FAILED (errors=1) CMake Error at /github/home/ROOT-CI/src/cmake/modules/RootTestDriver.cmake:232 (message): error code: 1 ``` (cherry picked from commit d5135f7)
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If the GetCheckSum value was already cached then the argument passed
to the function was not set. This now properly sets the value.