Replace pandas with numpy.testing
Addresses https://github.com/jensengroup/propka-3.1/pull/36#discussion_r429104797
This commit is contained in:
@@ -1,2 +1,2 @@
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pytest
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pytest
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pandas
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numpy
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2
setup.py
2
setup.py
@@ -57,6 +57,6 @@ See http://propka.org/ for the PROPKA web server.
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},
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},
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zip_safe=True,
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zip_safe=True,
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python_requires='>=3.5',
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python_requires='>=3.5',
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tests_require=["pandas", "pytest"],
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tests_require=["pandas", "numpy"],
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test_suite="tests",
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test_suite="tests",
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)
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)
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@@ -1,6 +1,7 @@
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# Testing PROPKA
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# Testing PROPKA
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These tests assume that PROPKA is installed as a module on your system.
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These tests assume that PROPKA is installed as a module on your system the
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dependencies in `../requirements.txt` are satisfied.
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If you are running in a virtual environment and want to make changes to your
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If you are running in a virtual environment and want to make changes to your
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code, module installation accomplished by
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code, module installation accomplished by
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```
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```
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@@ -4,7 +4,7 @@ import os
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import re
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import re
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from pathlib import Path
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from pathlib import Path
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import pytest
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import pytest
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import pandas as pd
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from numpy.testing import assert_almost_equal
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import propka.lib
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import propka.lib
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import propka.molecular_container
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import propka.molecular_container
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@@ -12,9 +12,10 @@ import propka.molecular_container
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_LOGGER = logging.getLogger(__name__)
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_LOGGER = logging.getLogger(__name__)
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# Maximum error set by number of decimal places in pKa output as well as need
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# Number of decimal places for maximum tolerable error. Set by number of
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# to make unmodified code work on WSL Ubuntu 18.04
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# decimal places in pKa output as well as need to make unmodified code work
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MAX_ERR = 0.01
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# on WSL Ubuntu 18.04
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MAX_ERR_DECIMALS = 2
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# This directory
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# This directory
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@@ -102,13 +103,9 @@ def compare_output(pdb, tmp_path, ref_path):
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m = re.search(r'([0-9]+\.[0-9]+)', line)
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m = re.search(r'([0-9]+\.[0-9]+)', line)
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value = float(m.group(0))
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value = float(m.group(0))
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test_data.append(value)
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test_data.append(value)
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errstr = "Error exceeds maximum allowed value (%d decimal places)" % MAX_ERR_DECIMALS
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df = pd.DataFrame({"reference": ref_data, "test": test_data})
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assert_almost_equal(test_data, ref_data, decimal=MAX_ERR_DECIMALS,
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df["difference"] = df["reference"] - df["test"]
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err_msg=errstr, verbose=True)
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max_err = df["difference"].abs().max()
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if max_err > MAX_ERR:
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errstr = "Error in test (%g) exceeds maximum (%g)" % (max_err, MAX_ERR)
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raise ValueError(errstr)
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@pytest.mark.parametrize("pdb, options", [
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@pytest.mark.parametrize("pdb, options", [
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