Parsing SciPy TODO list

[certik]

The following lfortran --show-ast --fixed-form $file > $file.ast now works for every *.f file in SciPy, except the following three issues:

• [x] include statements (https://github.com/lfortran/lfortran/issues/777)
• [x] data in body (https://github.com/lfortran/lfortran/issues/778)
• [x] else syntax (https://github.com/lfortran/lfortran/issues/779)

After resolving those three issues, here is a TODO list:

• [x] Get formatting working for all files: lfortran --fixed-form fmt --no-color $file > $file.f90
  • [x] https://github.com/lfortran/lfortran/pull/782
• [x] Use gfortran to compile the .f90 files generated in the previous step instead of the original .f files.
  • [x] https://github.com/lfortran/lfortran/issues/781
  • [x] https://github.com/lfortran/lfortran/issues/784
  • [x] https://github.com/lfortran/lfortran/issues/785
• [x] Link everything with SciPy (still use f2py with the original .f files) and ensure everything builds
• [ ] Ensure all tests pass if we build all.f files via LFortran -> GFortran
• [ ] I also want to check that the f90 can be parsed with LFortran

This would be a very solid test that we have parsed everything correctly to AST (and can format everything correctly); everything that is tested by SciPy tests at least.

[certik]

Here is how one can test it:

#!/bin/bash

set -e

find . -name "*.f" > files.txt
files=$(<files.txt)

set -x

for file in $files; do
    lfortran --fixed-form fmt --no-color $file > $file.f90
    gfortran -ffree-line-length-none -fallow-argument-mismatch -c $file.f90 -o $file.o
done

One has to manually comment out for now the three top issues with parsing, but otherwise everything parses to AST, the fmt emits f90 file, and GFortran can compile all the f90 files. So this is a big milestone!

I expect few more bugs as we try to link it and actually use it in SciPy, but with a bit of luck there is nothing major.

[certik]

We can now parse data correctly. So now we just need to implement the include and LFortran can parse SciPy, unmodified. Update: done, we can now parse SciPy.

[certik]

Now we need to hook LFortran or our wrapper script into SciPy's build system. I used SciPy's version 527f2ddcda98ebf4dae37abc38c85082218fcd6a and built it on macOS M1 Max using:

git submodule update --init
mamba env create -f environment.yml
conda activate scipy-dev
pip install .

Then I tested using:

import scipy
scipy.test()

And I got the following output:

Click to expand

``` In [1]: import scipy In [2]: scipy.test() ============================= test session starts ============================== platform darwin -- Python 3.10.6, pytest-7.1.3, pluggy-1.0.0 rootdir: /Users/ondrej/repos/scipy, configfile: pytest.ini plugins: xdist-2.5.0, forked-1.4.0, timeout-2.1.0, cov-4.0.0 collected 52264 items / 12238 deselected / 40026 selected ../_lib/tests/test__gcutils.py ...... [ 0%] ../_lib/tests/test__pep440.py ......... [ 0%] ../_lib/tests/test__testutils.py .. [ 0%] ../_lib/tests/test__threadsafety.py .. [ 0%] ../_lib/tests/test__util.py ........................... [ 0%] ../_lib/tests/test_bunch.py ............................ [ 0%] ../_lib/tests/test_ccallback.py .... [ 0%] ../_lib/tests/test_deprecation.py . [ 0%] ../_lib/tests/test_import_cycles.py . [ 0%] ../_lib/tests/test_public_api.py .... [ 0%] ../_lib/tests/test_scipy_version.py . [ 0%] ../_lib/tests/test_tmpdirs.py ... [ 0%] ../cluster/tests/test_disjoint_set.py ..................... [ 0%] ../cluster/tests/test_hierarchy.py ..................................... [ 0%] ...................................................... [ 0%] ../cluster/tests/test_vq.py ......................... [ 0%] ../constants/tests/test_codata.py ....... [ 0%] ../constants/tests/test_constants.py ... [ 0%] ../datasets/tests/test_data.py .... [ 0%] ../fft/_pocketfft/tests/test_basic.py .................................. [ 0%] ........................................................................ [ 0%] ........................................................................ [ 1%] ........................................................................ [ 1%] ........................................................................ [ 1%] ........................................................................ [ 1%] .................................................................. [ 1%] ../fft/_pocketfft/tests/test_real_transforms.py ........................ 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[100%] =================================== FAILURES =================================== ____________________ test_dst4_definition_ortho[1-float32] _____________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/fft/_pocketfft/tests/test_real_transforms.py:382: in test_dst4_definition_ortho assert_array_almost_equal(y, y2, decimal=dec) E AssertionError: E Arrays are not almost equal to 6 decimals E E Mismatched elements: 1 / 15 (6.67%) E Max absolute difference: 2.20676786e-06 E Max relative difference: 1.06287481e-05 E x: array([ 2.252718e+01, -3.048520e+00, 6.882938e-01, -6.559461e-01, E 1.382562e-01, -3.040761e-01, 2.433828e-02, -1.844277e-01, E -1.595955e-02, -1.282380e-01, -3.589347e-02, -9.665469e-02, E -4.941744e-02, -7.647392e-02, -6.187321e-02], dtype=float32) E y: array([ 2.252718e+01, -3.048520e+00, 6.882938e-01, -6.559461e-01, E 1.382565e-01, -3.040768e-01, 2.433815e-02, -1.844278e-01, E -1.595948e-02, -1.282385e-01, -3.589375e-02, -9.665460e-02, E -4.941736e-02, -7.647404e-02, -6.187255e-02]) dec = 6 dt = dtype('float32') mdata_x = array([ 0. , 0.71428571, 1.42857143, 2.14285714, 2.85714286, 3.57142857, 4.28571429, 5. , 5.71428571, 6.42857143, 7.14285714, 7.85714286, 8.57142857, 9.28571429, 10. ]) rdt = x = array([ 0. , 0.71428573, 1.4285715 , 2.142857 , 2.857143 , 3.5714285 , 4.285714 , 5. , 5.714286 , 6.428571 , 7.142857 , 7.857143 , 8.571428 , 9.285714 , 10. ], dtype=float32) y = array([ 2.2527182e+01, -3.0485203e+00, 6.8829376e-01, -6.5594608e-01, 1.3825622e-01, -3.0407611e-01, 2.43382... -1.2823799e-01, -3.5893470e-02, -9.6654691e-02, -4.9417440e-02, -7.6473922e-02, -6.1873209e-02], dtype=float32) y2 = array([ 2.25271838e+01, -3.04852029e+00, 6.88293833e-01, -6.55946133e-01, 1.38256458e-01, -3.04076803e-01, 2...4780e-02, -1.28238488e-01, -3.58937516e-02, -9.66546037e-02, -4.94173596e-02, -7.64740413e-02, -6.18725511e-02]) ___________________________ test_solve_discrete_are ____________________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/linalg/tests/test_solvers.py:528: in test_solve_discrete_are _test_factory(case, min_decimal[ind]) _test_factory = ._test_factory at 0x2ba27bd90> case = (array([[ 0., 1000000.], [ 0., 0.]]), array([[0], [1]]), array([[1., 0.], [0., 1.]]), array([[1]]), None) cases = [(array([[ 2.+0.j, 1.-2.j], [ 0.+0.j, -0.-3.j]]), array([[0], [1]]), array([[1, 0], [0, 2]]), ar...0.005, 0. ], [0. , 0.02 ]]), array([[0.33333333, 0. ], [0. , 3. ]]), None), ...] ind = 15 min_decimal = (12, 14, 13, 14, 13, 16, ...) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/linalg/tests/test_solvers.py:525: in _test_factory assert_array_almost_equal(res, np.zeros_like(res), decimal=dec) E AssertionError: E Arrays are not almost equal to 2 decimals E E Mismatched elements: 1 / 4 (25%) E Max absolute difference: 0.01635742 E Max relative difference: inf E x: array([[0.00e+00, 1.23e-20], E [1.23e-20, 1.64e-02]]) E y: array([[0., 0.], E [0., 0.]]) a = array([[ 0., 1000000.], [ 0., 0.]]) b = array([[0], [1]]) case = (array([[ 0., 1000000.], [ 0., 0.]]), array([[0], [1]]), array([[1., 0.], [0., 1.]]), array([[1]]), None) dec = 2 knownfailure = None q = array([[1., 0.], [0., 1.]]) r = array([[1]]) res = array([[0.00000000e+00, 1.22970054e-20], [1.22970054e-20, 1.63574219e-02]]) x = array([[ 1.00000000e+00, -1.22970054e-20], [-1.22970054e-20, 1.00000000e+12]]) _______________________________ test_uint64_max ________________________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/ndimage/tests/test_datatypes.py:62: in test_uint64_max assert_(x[2] == int(float(big))) E AssertionError arr = array([18446744073709550591, 18446744073709550591, 18446744073709550591], dtype=uint64) big = 18446744073709550591 inds = array([[-0.1, 0.9, 1.9]]) x = array([ 0, 18446744073709549568, 18446744073709551615], dtype=uint64) ________________________ test_maxiter_worsening[gmres] _________________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/sparse/linalg/_isolve/tests/test_iterative.py:487: in test_maxiter_worsening assert_(error <= tol*best_error) E AssertionError A = array([[-0.11127953+0.j , 0. +0.j , 0. +0.j , 0.16127953+0.j ], ..., [ 0.11127953+0.j , 0. +0.j , 0. +0.j , -0.16127953+0.j ]]) best_error = 0.0220970874869165 error = 0.14405538214520144 info = 9 maxiter = 9 solver = tol = 5 v = array([1., 1., 1., 1.]) x = array([-1.18774059e+15+1.33929598e+06j, -3.45037760e-03-1.59080106e-01j, -3.45037761e-03+1.59080106e-01j, -8.19516368e+14+9.24086443e+05j]) _ TestHyp2f1.test_a_b_neg_int_after_euler_hypergeometric_transformation[hyp2f1_test_case0] _ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/special/tests/test_hyp2f1.py:530: in test_a_b_neg_int_after_euler_hypergeometric_transformation assert_allclose(hyp2f1(a, b, c, z), expected, rtol=rtol) E AssertionError: E Not equal to tolerance rtol=1e-12, atol=0 E E Mismatched elements: 1 / 1 (100%) E Max absolute difference: 2.83180534e-12 E Max relative difference: 2.89301017e-12 E x: array(0.977851+0.044084j) E y: array(0.977851+0.044084j) a = -0.5 b = -0.9629749245209605 c = -15.5 expected = (0.9778506962676361+0.044083801141231616j) hyp2f1_test_case = Hyp2f1TestCase(a=-0.5, b=-0.9629749245209605, c=-15.5, z=(1.1578947368421053-1.1578947368421053j), expected=(0.9778506962676361+0.044083801141231616j), rtol=1e-12) rtol = 1e-12 self = z = (1.1578947368421053-1.1578947368421053j) _________________ TestHyp2f1.test_region4[hyp2f1_test_case30] __________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/special/tests/test_hyp2f1.py:1394: in test_region4 assert_allclose(hyp2f1(a, b, c, z), expected, rtol=rtol) E AssertionError: E Not equal to tolerance rtol=1e-15, atol=0 E E Mismatched elements: 1 / 1 (100%) E Max absolute difference: 9.58672921e-16 E Max relative difference: 1.63875665e-15 E x: array(-0.535966-0.234448j) E y: array(-0.535966-0.234448j) a = 4.080187217753502 b = -3.5 c = -3.5 expected = (-0.5359656237994614-0.2344483936591811j) hyp2f1_test_case = Hyp2f1TestCase(a=4.080187217753502, b=-3.5, c=-3.5, z=(0.26551724137931054+0.8724137931034486j), expected=(-0.5359656237994614-0.2344483936591811j), rtol=1e-15) rtol = 1e-15 self = z = (0.26551724137931054+0.8724137931034486j) _________________ TestHyp2f1.test_region4[hyp2f1_test_case34] __________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/special/tests/test_hyp2f1.py:1394: in test_region4 assert_allclose(hyp2f1(a, b, c, z), expected, rtol=rtol) E AssertionError: E Not equal to tolerance rtol=1e-15, atol=0 E E Mismatched elements: 1 / 1 (100%) E Max absolute difference: 3.82801123e-10 E Max relative difference: 1.32419604e-15 E x: array(133306.452607+256510.704523j) E y: array(133306.452607+256510.704523j) a = -15.5 b = 1.0561196186065624 c = -7.5 expected = (133306.45260685298+256510.7045225382j) hyp2f1_test_case = Hyp2f1TestCase(a=-15.5, b=1.0561196186065624, c=-7.5, z=(0.4172413793103451+0.8724137931034486j), expected=(133306.45260685298+256510.7045225382j), rtol=1e-15) rtol = 1e-15 self = z = (0.4172413793103451+0.8724137931034486j) _________________ TestHyp2f1.test_region4[hyp2f1_test_case47] __________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/special/tests/test_hyp2f1.py:1394: in test_region4 assert_allclose(hyp2f1(a, b, c, z), expected, rtol=rtol) E AssertionError: E Not equal to tolerance rtol=1e-10, atol=0 E E Mismatched elements: 1 / 1 (100%) E Max absolute difference: 1.09362783e-06 E Max relative difference: 1.19608052e-10 E x: array(-2258.159032+8860.19339j) E y: array(-2258.159033+8860.193389j) a = -0.5 b = -15.5 c = -7.949900487447654 expected = (-2258.1590330318213+8860.193389158803j) hyp2f1_test_case = Hyp2f1TestCase(a=-0.5, b=-15.5, c=-7.949900487447654, z=(0.4172413793103451-0.8724137931034484j), expected=(-2258.1590330318213+8860.193389158803j), rtol=1e-10) rtol = 1e-10 self = z = (0.4172413793103451-0.8724137931034484j) __________________ TestHyp2f1.test_region5[hyp2f1_test_case3] __________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/special/tests/test_hyp2f1.py:1891: in test_region5 assert_allclose(hyp2f1(a, b, c, z), expected, rtol=rtol) E AssertionError: E Not equal to tolerance rtol=1e-14, atol=0 E E Mismatched elements: 1 / 1 (100%) E Max absolute difference: 0.13428089 E Max relative difference: 1.66562939e-14 E x: array(8.559254e+10-8.061417e+12j) E y: array(8.559254e+10-8.061417e+12j) a = 16.087593263474208 b = 1.0 c = -15.964218273004214 expected = (85592537010.05054-8061416766688.324j) hyp2f1_test_case = Hyp2f1TestCase(a=16.087593263474208, b=1.0, c=-15.964218273004214, z=(0.6448275862068968+0.8724137931034486j), expected=(85592537010.05054-8061416766688.324j), rtol=1e-14) rtol = 1e-14 self = z = (0.6448275862068968+0.8724137931034486j) _________________ test_stats_boost_ufunc[_beta_ppf-args1-0.5] __________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_boost_ufuncs.py:41: in test_stats_boost_ufunc value = func(*args) E RuntimeWarning: overflow encountered in _beta_ppf args = [0.6875, 2.0, 3.0] expected = 0.5 func = rtol = 3.814697265625e-06 typ = type_char = 'f' type_chars = ['f', 'd', 'g'] type_sigs = ['fff->f', 'ddd->d', 'ggg->g'] ______________________ test_cont_basic[500-200-ncf-arg74] ______________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_continuous_basic.py:162: in test_cont_basic check_cdf_ppf(distfn, arg, distname) arg = (27, 27, 0.41578441799226107) distfn = distname = 'ncf' m = 1.0966313767196902 n_fit_samples = 200 rng = RandomState(MT19937) at 0x2DE60B640 rvs = array([0.90888841, 0.87523216, 0.73228753, 1.33584017, 0.93548576, 1.09504212, 1.15670442, 0.36786914, 0.791225...03, 1.73540023, 0.87035866, 0.73702581, 0.81477748, 0.87362182, 1.58673099, 1.88455316, 0.61564337, 1.09912842]) sn = 500 v = 0.20137940259526124 ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_continuous_basic.py:516: in check_cdf_ppf npt.assert_almost_equal(distfn.cdf(distfn.ppf(values, *arg), *arg), arg = (27, 27, 0.41578441799226107) distfn = msg = 'ncf' values = [0.001, 0.5, 0.999] ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:2333: in ppf place(output, cond, self._ppf(*goodargs) * scale + loc) _a = 0.0 _b = inf args = (array(27), array(27), array(0.41578442)) cond = array([ True, True, True]) cond0 = True cond1 = array([ True, True, True]) cond2 = array([False, False, False]) cond3 = array([False, False, False]) goodargs = [array([0.001, 0.5 , 0.999]), array([27, 27, 27]), array([27, 27, 27]), array([0.41578442, 0.41578442, 0.41578442])] kwds = {} loc = array([0, 0, 0]) lower_bound = 0.0 output = array([nan, nan, nan]) q = array([0.001, 0.5 , 0.999]) scale = array([1, 1, 1]) self = upper_bound = inf ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_continuous_distns.py:6604: in _ppf return _boost._ncf_ppf(q, dfn, dfd, nc) E RuntimeWarning: overflow encountered in _ncf_ppf dfd = array([27, 27, 27]) dfn = array([27, 27, 27]) nc = array([0.41578442, 0.41578442, 0.41578442]) q = array([0.001, 0.5 , 0.999]) self = ______________________ test_cont_basic[500-200-nct-arg75] ______________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_continuous_basic.py:162: in test_cont_basic check_cdf_ppf(distfn, arg, distname) arg = (14, 0.24045031331198066) distfn = distname = 'nct' m = 0.2543673273832776 n_fit_samples = 200 rng = RandomState(MT19937) at 0x2E6EC6440 rvs = array([ 8.73534081e-01, -1.04204572e+00, 8.32185889e-01, 1.83689614e+00, -1.81244028e-01, 7.69549733e-01, 8...9293e+00, 8.20972491e-01, -7.63240067e-01, 1.27150283e+00, 1.30239072e-01, 1.64179170e+00, 1.18497579e+00]) sn = 500 v = 1.1694163414603564 ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_continuous_basic.py:516: in check_cdf_ppf npt.assert_almost_equal(distfn.cdf(distfn.ppf(values, *arg), *arg), arg = (14, 0.24045031331198066) distfn = msg = 'nct' values = [0.001, 0.5, 0.999] ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:2333: in ppf place(output, cond, self._ppf(*goodargs) * scale + loc) _a = -inf _b = inf args = (array(14), array(0.24045031)) cond = array([ True, True, True]) cond0 = True cond1 = array([ True, True, True]) cond2 = array([False, False, False]) cond3 = array([False, False, False]) goodargs = [array([0.001, 0.5 , 0.999]), array([14, 14, 14]), array([0.24045031, 0.24045031, 0.24045031])] kwds = {} loc = array([0, 0, 0]) lower_bound = -inf output = array([nan, nan, nan]) q = array([0.001, 0.5 , 0.999]) scale = array([1, 1, 1]) self = upper_bound = inf ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_continuous_distns.py:6800: in _ppf return _boost._nct_ppf(q, df, nc) E RuntimeWarning: overflow encountered in _nct_ppf df = array([14, 14, 14]) nc = array([0.24045031, 0.24045031, 0.24045031]) q = array([0.001, 0.5 , 0.999]) self = _____________________ test_cont_basic[500-200-ncx2-arg76] ______________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_continuous_basic.py:162: in test_cont_basic check_cdf_ppf(distfn, arg, distname) arg = (21, 1.0560465975116415) distfn = distname = 'ncx2' m = 22.056046597511642 n_fit_samples = 200 rng = RandomState(MT19937) at 0x2E6EC6540 rvs = array([24.18228087, 28.6893038 , 24.17456852, 14.84747842, 18.70623905, 16.16763421, 9.29241683, 14.62038405, ...716689, 25.11697161, 27.96343751, 35.36238425, 17.36403196, 25.81839268, 23.01798747, 22.53534591, 20.49078605]) sn = 500 v = 46.22418639004657 ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_continuous_basic.py:516: in check_cdf_ppf npt.assert_almost_equal(distfn.cdf(distfn.ppf(values, *arg), *arg), arg = (21, 1.0560465975116415) distfn = msg = 'ncx2' values = [0.001, 0.5, 0.999] ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:2160: in cdf place(output, cond, self._cdf(*goodargs)) _a = 0.0 _b = inf args = (array(21), array(1.0560466)) cond = array([ True, True, True]) cond0 = True cond1 = array([ True, True, True]) cond2 = array([False, False, False]) dtyp = dtype('float64') goodargs = [array([ 6.77671634, 21.36270226, 49.09451392]), array([21, 21, 21]), array([1.0560466, 1.0560466, 1.0560466])] kwds = {} loc = array(0) output = array([0., 0., 0.]) scale = array(1) self = x = array([ 6.77671634, 21.36270226, 49.09451392]) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_continuous_distns.py:6502: in _cdf return _lazywhere(cond, (x, df, nc), f=_boost._ncx2_cdf, cond = array([ True, True, True]) df = array([21, 21, 21]) nc = array([1.0560466, 1.0560466, 1.0560466]) self = x = array([ 6.77671634, 21.36270226, 49.09451392]) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/_lib/_util.py:69: in _lazywhere np.place(out, cond, f(*temp)) E RuntimeWarning: overflow encountered in _ncx2_cdf args = [array([ True, True, True]), array([ 6.77671634, 21.36270226, 49.09451392]), array([21, 21, 21]), array([1.0560466, 1.0560466, 1.0560466])] arrays = [array([ 6.77671634, 21.36270226, 49.09451392]), array([21, 21, 21]), array([1.0560466, 1.0560466, 1.0560466])] cond = array([ True, True, True]) f = f2 = . at 0x2e6ed0280> fillvalue = nan out = array([nan, nan, nan]) tcode = 'd' temp = (array([ 6.77671634, 21.36270226, 49.09451392]), array([21, 21, 21]), array([1.0560466, 1.0560466, 1.0560466])) ___________________ test_methods_with_lists[ncf-args75-ppf] ____________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_continuous_basic.py:714: in test_methods_with_lists result = f(x, *shape2, loc=loc, scale=scale) args = (27, 27, 0.41578441799226107) dist = distname = 'ncf' f = > loc = [0, 0.1] method = 'ppf' scale = [1, 1.01] shape2 = [[27, 27], [27, 27], [0.41578441799226107, 0.41578441799226107]] x = [0.1, 0.2] ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:2333: in ppf place(output, cond, self._ppf(*goodargs) * scale + loc) _a = 0.0 _b = inf args = (array([27, 27]), array([27, 27]), array([0.41578442, 0.41578442])) cond = array([ True, True]) cond0 = array([ True, True]) cond1 = array([ True, True]) cond2 = array([False, False]) cond3 = array([False, False]) goodargs = [array([0.1, 0.2]), array([27, 27]), array([27, 27]), array([0.41578442, 0.41578442])] kwds = {'loc': [0, 0.1], 'scale': [1, 1.01]} loc = array([0. , 0.1]) lower_bound = array([0. , 0.1]) output = array([nan, nan]) q = array([0.1, 0.2]) scale = array([1. , 1.01]) self = upper_bound = array([inf, inf]) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_continuous_distns.py:6604: in _ppf return _boost._ncf_ppf(q, dfn, dfd, nc) E RuntimeWarning: overflow encountered in _ncf_ppf dfd = array([27, 27]) dfn = array([27, 27]) nc = array([0.41578442, 0.41578442]) q = array([0.1, 0.2]) self = ___________________ test_methods_with_lists[ncf-args75-isf] ____________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_continuous_basic.py:714: in test_methods_with_lists result = f(x, *shape2, loc=loc, scale=scale) args = (27, 27, 0.41578441799226107) dist = distname = 'ncf' f = > loc = [0, 0.1] method = 'isf' scale = [1, 1.01] shape2 = [[27, 27], [27, 27], [0.41578441799226107, 0.41578441799226107]] x = [0.1, 0.2] ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:2378: in isf place(output, cond, self._isf(*goodargs) * scale + loc) _a = 0.0 _b = inf args = (array([27, 27]), array([27, 27]), array([0.41578442, 0.41578442])) cond = array([ True, True]) cond0 = array([ True, True]) cond1 = array([ True, True]) cond2 = array([False, False]) cond3 = array([False, False]) goodargs = [array([0.1, 0.2]), array([27, 27]), array([27, 27]), array([0.41578442, 0.41578442])] kwds = {'loc': [0, 0.1], 'scale': [1, 1.01]} loc = array([0. , 0.1]) lower_bound = array([0. , 0.1]) output = array([nan, nan]) q = array([0.1, 0.2]) scale = array([1. , 1.01]) self = upper_bound = array([inf, inf]) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_continuous_distns.py:6610: in _isf return _boost._ncf_isf(x, dfn, dfd, nc) E RuntimeWarning: overflow encountered in _ncf_isf dfd = array([27, 27]) dfn = array([27, 27]) nc = array([0.41578442, 0.41578442]) self = x = array([0.1, 0.2]) ___________________ test_discrete_basic[skellam-arg17-True] ____________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_discrete_basic.py:47: in test_discrete_basic check_cdf_ppf(distfn, arg, supp, distname + ' cdf_ppf') arg = (15, 8) distfn = distname = 'skellam' first_case = True m = 7.0 rvs = array([ 4, 6, 10, ..., 5, 14, 15]) supp = array([-10, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25]) v = 23.0 ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_discrete_basic.py:185: in check_cdf_ppf npt.assert_array_equal(distfn.ppf(distfn.cdf(supp, *arg), *arg), arg = (15, 8) distfn = msg = 'skellam cdf_ppf' supp = array([-10, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25]) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:3433: in cdf place(output, cond, np.clip(self._cdf(*goodargs), 0, 1)) _ = 1 _a = -inf _b = inf args = (array(15), array(8)) cond = array([ True, True, True, True, True, True, True, True, True, True, True, True, True, True, True,... True, True, True, True, True, True, True, True, True, True, True, True, True, True, True]) cond0 = True cond1 = array([ True, True, True, True, True, True, True, True, True, True, True, True, True, True, True,... True, True, True, True, True, True, True, True, True, True, True, True, True, True, True]) cond2 = array([False, False, False, False, False, False, False, False, False, False, False, False, False, False, False,...False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]) cond3 = array([False, False, False, False, False, False, False, False, False, False, False, False, False, False, False,...False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]) goodargs = [array([-10, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12..., 15]), array([8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8])] k = array([-10, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25]) kwds = {} loc = array(0) output = array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]) self = ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_discrete_distns.py:1437: in _cdf _boost._ncx2_cdf(2*mu2, -2*x, 2*mu1), E RuntimeWarning: overflow encountered in _ncx2_cdf mu1 = array([15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15]) mu2 = array([8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8]) self = x = array([-10., -7., -6., -5., -4., -3., -2., -1., 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15., 16., 17., 18., 19., 20., 21., 22., 25.]) _________________________ test_moments[skellam-arg17] __________________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_discrete_basic.py:89: in test_moments check_normalization(distfn, arg, distname) arg = (15, 8) distfn = distname = 'skellam' k = 0.043478260869565216 m = 7.0 s = 0.06346090862606624 v = 23.0 ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/common_tests.py:32: in check_normalization normalization_expect = distfn.expect(lambda x: 1, args=args) args = (15, 8) atol = 1e-07 distfn = distname = 'skellam' norm_moment = 1.0 rtol = 1e-07 ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:3739: in expect x0 = self.ppf(0.5, *args) _a = -inf _b = inf args = (15, 8) chunksize = 32 conditional = False fun = .fun at 0x2e8bed2d0> func = . at 0x2e8bed120> invfac = 1.0 lb = -inf loc = 0 maxcount = 1000 self = tolerance = 1e-10 ub = inf ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:3592: in ppf place(output, cond, self._ppf(*goodargs) + loc) _ = 1 _a = -inf _b = inf args = (array(15), array(8)) cond = True cond0 = True cond1 = True cond2 = False goodargs = [array([0.5]), array([15]), array([8])] kwds = {} loc = array([0]) output = array(nan) q = array(0.5) self = ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:989: in _ppf return self._ppfvec(q, *args) args = (array([15]), array([8])) q = array([0.5]) self = ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/numpy/lib/function_base.py:2328: in __call__ return self._vectorize_call(func=func, args=vargs) args = (, array([0.5]), array([15]), array([8])) excluded = set() func = kwargs = {} self = vargs = (, array([0.5]), array([15]), array([8])) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/numpy/lib/function_base.py:2411: in _vectorize_call outputs = ufunc(*inputs) args = (, array([0.5]), array([15]), array([8])) func = inputs = [array(, dtype=object), array([0.5], dtype=object), array([15], dtype=object), array([8], dtype=object)] otypes = 'd' self = ufunc = ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:2943: in _drv2_ppfsingle qb = self._cdf(b, *args) _a = -inf _b = inf a = -inf args = (15, 8) b = 50 q = 0.5 self = ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_discrete_distns.py:1438: in _cdf 1 - _boost._ncx2_cdf(2*mu1, 2*(x+1), 2*mu2)) E RuntimeWarning: overflow encountered in _ncx2_cdf mu1 = 15 mu2 = 8 self = x = 50.0 _____________________________ test_skellam_gh11474 _____________________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_discrete_distns.py:238: in test_skellam_gh11474 cdf = skellam.cdf(0, mu, mu) mu = [1, 10, 100, 1000, 5000, 5050, ...] ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:3433: in cdf place(output, cond, np.clip(self._cdf(*goodargs), 0, 1)) _ = 1 _a = -inf _b = inf args = (array([ 1, 10, 100, 1000, 5000, 5050, 5100, 5250, 6000]), array([ 1, 10, 100, 1000, 5000, 5050, 5100, 5250, 6000])) cond = array([ True, True, True, True, True, True, True, True, True]) cond0 = array([ True, True, True, True, True, True, True, True, True]) cond1 = True cond2 = False cond3 = False goodargs = [array([0, 0, 0, 0, 0, 0, 0, 0, 0]), array([ 1, 10, 100, 1000, 5000, 5050, 5100, 5250, 6000]), array([ 1, 10, 100, 1000, 5000, 5050, 5100, 5250, 6000])] k = array(0) kwds = {} loc = array(0) output = array([0., 0., 0., 0., 0., 0., 0., 0., 0.]) self = ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_discrete_distns.py:1438: in _cdf 1 - _boost._ncx2_cdf(2*mu1, 2*(x+1), 2*mu2)) E RuntimeWarning: overflow encountered in _ncx2_cdf mu1 = array([ 1, 10, 100, 1000, 5000, 5050, 5100, 5250, 6000]) mu2 = array([ 1, 10, 100, 1000, 5000, 5050, 5100, 5250, 6000]) self = x = array([0., 0., 0., 0., 0., 0., 0., 0., 0.]) ___________________ TestNCH.test_nchypergeom_wallenius_naive ___________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_discrete_distns.py:431: in test_nchypergeom_wallenius_naive mean(N, m1, n, w), rtol=2e-2) N = array([[[ 80, 50, 132], [ 91, 114, 172], [145, 55, 106], [146, 180, 108]], [[153, 129, 117], [109, 142, 26], [129, 104, 148], [ 55, 83, 99]]]) m1 = array([[[41, 16, 73], [23, 44, 83], [76, 8, 35], [50, 96, 76]], [[86, 48, 64], [32, 91, 21], [38, 40, 68], [ 5, 43, 52]]]) m2 = array([[[39, 34, 59], [68, 70, 89], [69, 47, 71], [96, 84, 32]], [[67, 81, 53], [77, 51, 5], [91, 64, 80], [50, 40, 47]]]) max_m = 100 mean = n = array([[[ 8, 45, 15], [ 8, 17, 150], [117, 9, 57], [105, 110, 90]], [[ 83, 96, 43], [ 32, 26, 18], [ 76, 10, 40], [ 34, 60, 9]]]) self = shape = (2, 4, 3) sup = support = .support at 0x2e3ad2950> w = array([[[1.42243449, 1.03486153, 1.7689432 ], [1.10726768, 1.14728499, 0.78786659], [1.8530935 , 0.011... 1.82895114, 1.65273601], [0.82349288, 1.26168533, 0.6838232 ], [0.76338588, 1.92491914, 1.29402846]]]) x = array([[[ 6, 14, 8], [ 2, 1, 65], [56, 1, 6], [46, 44, 69]], [[68, 25, 8], [26, 3, 16], [32, 0, 21], [ 3, 36, 8]]]) xl = array([[[ 0, 11, 0], [ 0, 0, 61], [48, 0, 0], [ 9, 26, 58]], [[16, 15, 0], [ 0, 0, 13], [ 0, 0, 0], [ 0, 20, 0]]]) xu = array([[[ 8, 16, 15], [ 8, 17, 83], [76, 8, 35], [50, 96, 76]], [[83, 48, 43], [32, 26, 18], [38, 10, 40], [ 5, 43, 9]]]) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/numpy/lib/function_base.py:2328: in __call__ return self._vectorize_call(func=func, args=vargs) args = (array([[[ 80, 50, 132], [ 91, 114, 172], [145, 55, 106], [146, 180, 108]], [[153, 1...1.82895114, 1.65273601], [0.82349288, 1.26168533, 0.6838232 ], [0.76338588, 1.92491914, 1.29402846]]])) excluded = set() func = .mean at 0x2e3ad1cf0> kwargs = {} self = vargs = (array([[[ 80, 50, 132], [ 91, 114, 172], [145, 55, 106], [146, 180, 108]], [[153, 1...1.82895114, 1.65273601], [0.82349288, 1.26168533, 0.6838232 ], [0.76338588, 1.92491914, 1.29402846]]])) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/numpy/lib/function_base.py:2411: in _vectorize_call outputs = ufunc(*inputs) E RuntimeWarning: divide by zero encountered in mean (vectorized) args = (array([[[ 80, 50, 132], [ 91, 114, 172], [145, 55, 106], [146, 180, 108]], [[153, 1...1.82895114, 1.65273601], [0.82349288, 1.26168533, 0.6838232 ], [0.76338588, 1.92491914, 1.29402846]]])) func = .mean at 0x2e3ad1cf0> inputs = [array([[[80, 50, 132], [91, 114, 172], [145, 55, 106], [146, 180, 108]], [[153, 129, ...29178, 0.6838231997605593], [0.7633858816811221, 1.9249191439419642, 1.294028457081314]]], dtype=object)] otypes = 'd' self = ufunc = _____________________________ TestSkellam.test_cdf _____________________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_distributions.py:3249: in test_cdf assert_almost_equal(stats.skellam.cdf(k, mu1, mu2), skcdfR, decimal=5) k = array([-10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]) mu1 = 10 mu2 = 5 self = skcdfR = array([6.40614754e-05, 1.78109860e-04, 4.67906118e-04, 1.15967690e-03, 2.70774851e-03, 5.94897601e-03, 1.228634...799e-01, 8.77852572e-01, 9.21121265e-01, 9.51369425e-01, 9.71360859e-01, 9.83877736e-01, 9.91316724e-01]) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:3433: in cdf place(output, cond, np.clip(self._cdf(*goodargs), 0, 1)) _ = 1 _a = -inf _b = inf args = (array(10), array(5)) cond = array([ True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True]) cond0 = True cond1 = array([ True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True]) cond2 = array([False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]) cond3 = array([False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]) goodargs = [array([-10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10...0, 10, 10, 10, 10, 10, 10]), array([5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5])] k = array([-10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]) kwds = {} loc = array(0) output = array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]) self = ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_discrete_distns.py:1437: in _cdf _boost._ncx2_cdf(2*mu2, -2*x, 2*mu1), E RuntimeWarning: overflow encountered in _ncx2_cdf mu1 = array([10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10]) mu2 = array([5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5]) self = x = array([-10., -9., -8., -7., -6., -5., -4., -3., -2., -1., 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14.]) ___________________________ TestExpect.test_skellam ____________________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_distributions.py:4833: in test_skellam m1 = stats.skellam.expect(lambda x: x, args=(p1, p2)) p1 = 18 p2 = 22 self = ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:3739: in expect x0 = self.ppf(0.5, *args) _a = -inf _b = inf args = (18, 22) chunksize = 32 conditional = False fun = .fun at 0x2e77b4700> func = . at 0x2e773aa70> invfac = 1.0 lb = -inf loc = 0 maxcount = 1000 self = tolerance = 1e-10 ub = inf ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:3592: in ppf place(output, cond, self._ppf(*goodargs) + loc) _ = 1 _a = -inf _b = inf args = (array(18), array(22)) cond = True cond0 = True cond1 = True cond2 = False goodargs = [array([0.5]), array([18]), array([22])] kwds = {} loc = array([0]) output = array(nan) q = array(0.5) self = ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:989: in _ppf return self._ppfvec(q, *args) args = (array([18]), array([22])) q = array([0.5]) self = ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/numpy/lib/function_base.py:2328: in __call__ return self._vectorize_call(func=func, args=vargs) args = (, array([0.5]), array([18]), array([22])) excluded = set() func = kwargs = {} self = vargs = (, array([0.5]), array([18]), array([22])) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/numpy/lib/function_base.py:2411: in _vectorize_call outputs = ufunc(*inputs) args = (, array([0.5]), array([18]), array([22])) func = inputs = [array(, dtype=object), array([0.5], dtype=object), array([18], dtype=object), array([22], dtype=object)] otypes = 'd' self = ufunc = ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:2943: in _drv2_ppfsingle qb = self._cdf(b, *args) _a = -inf _b = inf a = -inf args = (18, 22) b = 50 q = 0.5 self = ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_discrete_distns.py:1438: in _cdf 1 - _boost._ncx2_cdf(2*mu1, 2*(x+1), 2*mu2)) E RuntimeWarning: overflow encountered in _ncx2_cdf mu1 = 18 mu2 = 22 self = x = 50.0 __________________________ test_ncx2_tails_ticket_955 __________________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_distributions.py:6292: in test_ncx2_tails_ticket_955 a = stats.ncx2.cdf(np.arange(20, 25, 0.2), 2, 1.07458615e+02) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:2160: in cdf place(output, cond, self._cdf(*goodargs)) _a = 0.0 _b = inf args = (array(2), array(107.458615)) cond = array([ True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True]) cond0 = True cond1 = array([ True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True]) cond2 = array([False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False]) dtyp = dtype('float64') goodargs = [array([20. , 20.2, 20.4, 20.6, 20.8, 21. , 21.2, 21.4, 21.6, 21.8, 22. , 22.2, 22.4, 22.6, 22.8, 23. , 23.2, 2...5, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615])] kwds = {} loc = array(0) output = array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]) scale = array(1) self = x = array([20. , 20.2, 20.4, 20.6, 20.8, 21. , 21.2, 21.4, 21.6, 21.8, 22. , 22.2, 22.4, 22.6, 22.8, 23. , 23.2, 23.4, 23.6, 23.8, 24. , 24.2, 24.4, 24.6, 24.8]) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_continuous_distns.py:6502: in _cdf return _lazywhere(cond, (x, df, nc), f=_boost._ncx2_cdf, cond = array([ True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True]) df = array([2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) nc = array([107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.4586...15, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615]) self = x = array([20. , 20.2, 20.4, 20.6, 20.8, 21. , 21.2, 21.4, 21.6, 21.8, 22. , 22.2, 22.4, 22.6, 22.8, 23. , 23.2, 23.4, 23.6, 23.8, 24. , 24.2, 24.4, 24.6, 24.8]) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/_lib/_util.py:69: in _lazywhere np.place(out, cond, f(*temp)) E RuntimeWarning: overflow encountered in _ncx2_cdf args = [array([ True, True, True, True, True, True, True, True, True, True, True, True, True, True, True...5, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615])] arrays = [array([20. , 20.2, 20.4, 20.6, 20.8, 21. , 21.2, 21.4, 21.6, 21.8, 22. , 22.2, 22.4, 22.6, 22.8, 23. , 23.2, 2...5, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615])] cond = array([ True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True, True]) f = f2 = . at 0x2e77b5480> fillvalue = nan out = array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]) tcode = 'd' temp = (array([20. , 20.2, 20.4, 20.6, 20.8, 21. , 21.2, 21.4, 21.6, 21.8, 22. , 22.2, 22.4, 22.6, 22.8, 23. , 23.2, 2...5, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615, 107.458615])) ______________________________ test_ncx2_gh12731 _______________________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_distributions.py:6345: in test_ncx2_gh12731 assert_equal(stats.ncx2.cdf(1e4, df=1, nc=nc), 0) nc = array([ 100000, 1000000, 10000000, 100000000, 1000000000]) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:2160: in cdf place(output, cond, self._cdf(*goodargs)) _a = 0.0 _b = inf args = (array(1), array([ 100000, 1000000, 10000000, 100000000, 1000000000])) cond = array([ True, True, True, True, True]) cond0 = array([ True, True, True, True, True]) cond1 = True cond2 = array([False, False, False, False, False]) dtyp = dtype('float64') goodargs = [array([10000., 10000., 10000., 10000., 10000.]), array([1, 1, 1, 1, 1]), array([ 100000, 1000000, 10000000, 100000000, 1000000000])] kwds = {'df': 1, 'nc': array([ 100000, 1000000, 10000000, 100000000, 1000000000])} loc = array(0) output = array([0., 0., 0., 0., 0.]) scale = array(1) self = x = array(10000.) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_continuous_distns.py:6502: in _cdf return _lazywhere(cond, (x, df, nc), f=_boost._ncx2_cdf, cond = array([ True, True, True, True, True]) df = array([1, 1, 1, 1, 1]) nc = array([ 100000, 1000000, 10000000, 100000000, 1000000000]) self = x = array([10000., 10000., 10000., 10000., 10000.]) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/_lib/_util.py:69: in _lazywhere np.place(out, cond, f(*temp)) E RuntimeWarning: overflow encountered in _ncx2_cdf args = [array([ True, True, True, True, True]), array([10000., 10000., 10000., 10000., 10000.]), array([1, 1, 1, 1, 1]), array([ 100000, 1000000, 10000000, 100000000, 1000000000])] arrays = [array([10000., 10000., 10000., 10000., 10000.]), array([1, 1, 1, 1, 1]), array([ 100000, 1000000, 10000000, 100000000, 1000000000])] cond = array([ True, True, True, True, True]) f = f2 = . at 0x2e77b70a0> fillvalue = nan out = array([nan, nan, nan, nan, nan]) tcode = 'd' temp = (array([10000., 10000., 10000., 10000., 10000.]), array([1, 1, 1, 1, 1]), array([ 100000, 1000000, 10000000, 100000000, 1000000000])) _______________________________ test_ncx2_gh8665 _______________________________ ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/tests/test_distributions.py:6357: in test_ncx2_gh8665 sf = stats.ncx2.sf(x, df=nu, nc=lam) lam = 499.51538166556196 nu = 20 x = array([4.99515382e+00, 1.07617327e+01, 2.31854502e+01, 4.99515382e+01, 1.07617327e+02, 2.31854502e+02, 4.99515382e+02, 1.07617327e+03, 2.31854502e+03, 4.99515382e+03, 1.07617327e+04, 2.31854502e+04, 4.99515382e+04]) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_distn_infrastructure.py:2243: in sf place(output, cond, self._sf(*goodargs)) _a = 0.0 _b = inf args = (array(20), array(499.51538167)) cond = array([ True, True, True, True, True, True, True, True, True, True, True, True, True]) cond0 = True cond1 = array([ True, True, True, True, True, True, True, True, True, True, True, True, True]) cond2 = array([False, False, False, False, False, False, False, False, False, False, False, False, False]) dtyp = dtype('float64') goodargs = [array([4.99515382e+00, 1.07617327e+01, 2.31854502e+01, 4.99515382e+01, 1.07617327e+02, 2.31854502e+02, 4.99515...8167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167])] kwds = {'df': 20, 'nc': 499.51538166556196} loc = array(0) output = array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.]) scale = array(1) self = x = array([4.99515382e+00, 1.07617327e+01, 2.31854502e+01, 4.99515382e+01, 1.07617327e+02, 2.31854502e+02, 4.99515382e+02, 1.07617327e+03, 2.31854502e+03, 4.99515382e+03, 1.07617327e+04, 2.31854502e+04, 4.99515382e+04]) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/stats/_continuous_distns.py:6515: in _sf return _lazywhere(cond, (x, df, nc), f=_boost._ncx2_sf, cond = array([ True, True, True, True, True, True, True, True, True, True, True, True, True]) df = array([20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20]) nc = array([499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167]) self = x = array([4.99515382e+00, 1.07617327e+01, 2.31854502e+01, 4.99515382e+01, 1.07617327e+02, 2.31854502e+02, 4.99515382e+02, 1.07617327e+03, 2.31854502e+03, 4.99515382e+03, 1.07617327e+04, 2.31854502e+04, 4.99515382e+04]) ../../../mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/_lib/_util.py:69: in _lazywhere np.place(out, cond, f(*temp)) E RuntimeWarning: overflow encountered in _ncx2_sf args = [array([ True, True, True, True, True, True, True, True, True, True, True, True, True]), array([4.9...8167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167])] arrays = [array([4.99515382e+00, 1.07617327e+01, 2.31854502e+01, 4.99515382e+01, 1.07617327e+02, 2.31854502e+02, 4.99515...8167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167])] cond = array([ True, True, True, True, True, True, True, True, True, True, True, True, True]) f = f2 = . at 0x2e77b6b90> fillvalue = nan out = array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan]) tcode = 'd' temp = (array([4.99515382e+00, 1.07617327e+01, 2.31854502e+01, 4.99515382e+01, 1.07617327e+02, 2.31854502e+02, 4.99515...8167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167, 499.51538167])) =========================== short test summary info ============================ FAILED ../fft/_pocketfft/tests/test_real_transforms.py::test_dst4_definition_ortho[1-float32] FAILED ../linalg/tests/test_solvers.py::test_solve_discrete_are - AssertionEr... FAILED ../ndimage/tests/test_datatypes.py::test_uint64_max - AssertionError FAILED ../sparse/linalg/_isolve/tests/test_iterative.py::test_maxiter_worsening[gmres] FAILED ../special/tests/test_hyp2f1.py::TestHyp2f1::test_a_b_neg_int_after_euler_hypergeometric_transformation[hyp2f1_test_case0] FAILED ../special/tests/test_hyp2f1.py::TestHyp2f1::test_region4[hyp2f1_test_case30] FAILED ../special/tests/test_hyp2f1.py::TestHyp2f1::test_region4[hyp2f1_test_case34] FAILED ../special/tests/test_hyp2f1.py::TestHyp2f1::test_region4[hyp2f1_test_case47] FAILED ../special/tests/test_hyp2f1.py::TestHyp2f1::test_region5[hyp2f1_test_case3] FAILED ../stats/tests/test_boost_ufuncs.py::test_stats_boost_ufunc[_beta_ppf-args1-0.5] FAILED ../stats/tests/test_continuous_basic.py::test_cont_basic[500-200-ncf-arg74] FAILED ../stats/tests/test_continuous_basic.py::test_cont_basic[500-200-nct-arg75] FAILED ../stats/tests/test_continuous_basic.py::test_cont_basic[500-200-ncx2-arg76] FAILED ../stats/tests/test_continuous_basic.py::test_methods_with_lists[ncf-args75-ppf] FAILED ../stats/tests/test_continuous_basic.py::test_methods_with_lists[ncf-args75-isf] FAILED ../stats/tests/test_discrete_basic.py::test_discrete_basic[skellam-arg17-True] FAILED ../stats/tests/test_discrete_basic.py::test_moments[skellam-arg17] - R... FAILED ../stats/tests/test_discrete_distns.py::test_skellam_gh11474 - Runtime... FAILED ../stats/tests/test_discrete_distns.py::TestNCH::test_nchypergeom_wallenius_naive FAILED ../stats/tests/test_distributions.py::TestSkellam::test_cdf - RuntimeW... FAILED ../stats/tests/test_distributions.py::TestExpect::test_skellam - Runti... FAILED ../stats/tests/test_distributions.py::test_ncx2_tails_ticket_955 - Run... FAILED ../stats/tests/test_distributions.py::test_ncx2_gh12731 - RuntimeWarni... FAILED ../stats/tests/test_distributions.py::test_ncx2_gh8665 - RuntimeWarnin... = 24 failed, 37647 passed, 2207 skipped, 12238 deselected, 135 xfailed, 13 xpassed in 471.13s (0:07:51) = Out[2]: False ```

[certik]

Since some tests fail, probably a good way forward is to simply track how many fail / pass:

= 24 failed, 37647 passed, 2207 skipped, 12238 deselected, 135 xfailed, 13 xpassed in 471.13s (0:07:51) =

presumably if LFortran miscompiles something, more tests would fail.

[certik]

@konradha here is how to get SciPy compiling with LFortran (any subset of files). First create:

$ cat wrapper.sh 
#!/bin/bash

set -ex

dir="$HOME/repos/scipy"
A="$@"
Alast="${A##* }"
if [[ "${Alast: -2}" == ".f" ]]; then
    echo $Alast  >> $dir/log.txt
    lfortran --fixed-form fmt --no-color $Alast > ${Alast}90
    gfortran.actual -ffree-line-length-none ${A}90
else
    gfortran.actual $@
fi

Then install it using:

$ mamba env create -f environment.yml
$ conda activate scipy-dev
$ mv $CONDA_PREFIX/bin/gfortran $CONDA_PREFIX/bin/gfortran.actual
$ cp wrapper.sh $CONDA_PREFIX/bin/gfortran

Then install as usual:

$ pip install -v .

This will create a log.txt file with all the files that we are running via LFortran. One can easily customize this in any way we need. The above builds the following files:

Toggle me!

```console $ cat log.txt ../../scipy/stats/statlib/ansari.f ../../scipy/stats/statlib/spearman.f ../../scipy/stats/statlib/swilk.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/znaupd.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/zneigh.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/zneupd.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/zngets.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/zsortc.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/zstatn.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/UTIL/cmout.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/UTIL/cvout.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/UTIL/dmout.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/UTIL/dvout.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/UTIL/icnteq.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/UTIL/icopy.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/UTIL/iset.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/UTIL/iswap.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/UTIL/ivout.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/UTIL/second_NONE.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/UTIL/smout.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/UTIL/svout.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/UTIL/zmout.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/UTIL/zvout.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/cnapps.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/cnaitr.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/cgetv0.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/cnaupd.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/cnaup2.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/cneigh.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/cneupd.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/cngets.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/csortc.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/cstatn.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dgetv0.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dnaitr.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dnapps.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dnaup2.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dnaupd.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dnconv.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dneigh.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dneupd.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dngets.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dsapps.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dsaitr.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dsaup2.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dsaupd.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dsconv.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dseigt.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dsesrt.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dseupd.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dsgets.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dsortc.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dsortr.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dstatn.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dstats.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/dstqrb.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/sgetv0.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/snaitr.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/snapps.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/snaup2.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/snaupd.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/snconv.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/sneupd.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/sneigh.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/sngets.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/ssaitr.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/ssapps.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/ssaup2.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/ssaupd.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/ssconv.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/sseigt.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/ssesrt.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/sseupd.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/ssgets.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/ssortc.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/sstats.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/sstatn.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/ssortr.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/sstqrb.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/zgetv0.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/znaitr.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/znapps.f ../../scipy/sparse/linalg/_eigen/arpack/ARPACK/SRC/znaup2.f ../../scipy/_build_utils/src/wrap_dummy_g77_abi.f ../../scipy/_build_utils/src/wrap_dummy_g77_abi.f ../../scipy/_build_utils/src/wrap_dummy_g77_abi.f ../../scipy/_build_utils/src/wrap_dummy_g77_abi.f ../../scipy/_build_utils/src/wrap_dummy_g77_abi.f scipy/sparse/linalg/_eigen/arpack/_arpack-f2pywrappers.f scipy/stats/_statlib-f2pywrappers.f scipy/stats/_mvn-f2pywrappers.f ../../scipy/stats/mvndst.f scipy/sparse/linalg/_isolve/BiCGREVCOM.f scipy/sparse/linalg/_isolve/BiCGSTABREVCOM.f scipy/sparse/linalg/_isolve/CGREVCOM.f scipy/sparse/linalg/_isolve/CGSREVCOM.f scipy/sparse/linalg/_isolve/GMRESREVCOM.f scipy/sparse/linalg/_isolve/QMRREVCOM.f scipy/sparse/linalg/_isolve/getbreak.f ../../scipy/_build_utils/src/wrap_dummy_g77_abi.f ../../scipy/linalg/src/det.f ../../scipy/linalg/src/lu.f ../../scipy/linalg/src/id_dist/src/dfft.f ../../scipy/linalg/src/id_dist/src/id_rand.f ../../scipy/linalg/src/id_dist/src/id_rtrans.f ../../scipy/linalg/src/id_dist/src/idd_frm.f ../../scipy/linalg/src/id_dist/src/idd_house.f ../../scipy/linalg/src/id_dist/src/idd_id.f ../../scipy/linalg/src/id_dist/src/idd_id2svd.f ../../scipy/linalg/src/id_dist/src/idd_sfft.f ../../scipy/linalg/src/id_dist/src/idd_qrpiv.f ../../scipy/linalg/src/id_dist/src/idd_snorm.f ../../scipy/linalg/src/id_dist/src/idd_svd.f ../../scipy/linalg/src/id_dist/src/iddp_aid.f ../../scipy/linalg/src/id_dist/src/iddp_asvd.f ../../scipy/linalg/src/id_dist/src/iddp_rsvd.f ../../scipy/linalg/src/id_dist/src/iddp_rid.f ../../scipy/linalg/src/id_dist/src/iddr_aid.f ../../scipy/linalg/src/id_dist/src/iddr_asvd.f ../../scipy/linalg/src/id_dist/src/iddr_rid.f ../../scipy/linalg/src/id_dist/src/iddr_rsvd.f ../../scipy/linalg/src/id_dist/src/idz_frm.f ../../scipy/linalg/src/id_dist/src/idz_house.f ../../scipy/linalg/src/id_dist/src/idz_id.f ../../scipy/linalg/src/id_dist/src/idz_id2svd.f ../../scipy/linalg/src/id_dist/src/idz_qrpiv.f ../../scipy/linalg/src/id_dist/src/idz_sfft.f ../../scipy/linalg/src/id_dist/src/idz_snorm.f ../../scipy/linalg/src/id_dist/src/idz_svd.f ../../scipy/linalg/src/id_dist/src/idzp_aid.f ../../scipy/linalg/src/id_dist/src/idzp_asvd.f ../../scipy/linalg/src/id_dist/src/idzp_rid.f ../../scipy/linalg/src/id_dist/src/idzp_rsvd.f ../../scipy/linalg/src/id_dist/src/idzr_aid.f ../../scipy/linalg/src/id_dist/src/idzr_asvd.f ../../scipy/linalg/src/id_dist/src/idzr_rid.f ../../scipy/linalg/src/id_dist/src/prini.f ../../scipy/linalg/src/id_dist/src/idzr_rsvd.f scipy/sparse/linalg/_propack/_zpropack-f2pywrappers.f scipy/sparse/linalg/_propack/_spropack-f2pywrappers.f scipy/sparse/linalg/_propack/_dpropack-f2pywrappers.f scipy/sparse/linalg/_propack/_cpropack-f2pywrappers.f scipy/linalg/_flapack-f2pywrappers.f ../../scipy/_build_utils/src/wrap_dummy_g77_abi.f ../../scipy/special/amos/dgamln.f ../../scipy/special/amos/zabs.f ../../scipy/special/amos/zacon.f ../../scipy/special/amos/zairy.f ../../scipy/special/amos/zacai.f ../../scipy/special/amos/zasyi.f ../../scipy/special/amos/zbesj.f ../../scipy/special/amos/zbesi.f ../../scipy/special/amos/zbesh.f ../../scipy/special/amos/zbesk.f ../../scipy/special/amos/zbesy.f ../../scipy/special/amos/zbinu.f ../../scipy/special/amos/zbiry.f ../../scipy/special/amos/zbknu.f ../../scipy/special/amos/zbuni.f ../../scipy/special/amos/zbunk.f ../../scipy/special/amos/zdiv.f ../../scipy/special/amos/zexp.f ../../scipy/special/amos/zkscl.f ../../scipy/special/amos/zlog.f ../../scipy/special/amos/zmlri.f ../../scipy/special/amos/zmlt.f ../../scipy/special/amos/zrati.f ../../scipy/special/amos/zs1s2.f ../../scipy/special/amos/zseri.f ../../scipy/special/amos/zshch.f ../../scipy/special/amos/zsqrt.f ../../scipy/special/amos/zuchk.f ../../scipy/special/amos/zunhj.f ../../scipy/special/amos/zuni1.f ../../scipy/special/amos/zuni2.f ../../scipy/special/amos/zunik.f ../../scipy/special/amos/zunk1.f ../../scipy/special/amos/zunk2.f ../../scipy/special/amos/zuoik.f ../../scipy/special/amos/zwrsk.f ../../scipy/special/cdflib/algdiv.f ../../scipy/special/cdflib/alngam.f ../../scipy/special/cdflib/alnrel.f ../../scipy/special/cdflib/apser.f ../../scipy/special/cdflib/bcorr.f ../../scipy/special/cdflib/basym.f ../../scipy/special/cdflib/betaln.f ../../scipy/special/cdflib/bfrac.f ../../scipy/special/cdflib/bgrat.f ../../scipy/special/cdflib/bpser.f ../../scipy/special/cdflib/bratio.f ../../scipy/special/cdflib/brcmp1.f ../../scipy/special/cdflib/brcomp.f ../../scipy/special/cdflib/bup.f ../../scipy/special/cdflib/cdfbet.f ../../scipy/special/cdflib/cdfbin.f ../../scipy/special/cdflib/cdfchi.f ../../scipy/special/cdflib/cdfchn.f ../../scipy/special/cdflib/cdff.f ../../scipy/special/cdflib/cdffnc.f ../../scipy/special/cdflib/cdfgam.f ../../scipy/special/cdflib/cdfnbn.f ../../scipy/special/cdflib/cdfnor.f ../../scipy/special/cdflib/cdfpoi.f ../../scipy/special/cdflib/cdft.f ../../scipy/special/cdflib/cdftnc.f ../../scipy/special/cdflib/cumbet.f ../../scipy/special/cdflib/cumbin.f ../../scipy/special/cdflib/cumchi.f ../../scipy/special/cdflib/cumchn.f ../../scipy/special/cdflib/cumf.f ../../scipy/special/cdflib/cumfnc.f ../../scipy/special/cdflib/cumgam.f ../../scipy/special/cdflib/cumnbn.f ../../scipy/special/cdflib/cumnor.f ../../scipy/special/cdflib/cumpoi.f ../../scipy/special/cdflib/cumt.f ../../scipy/special/cdflib/cumtnc.f ../../scipy/special/cdflib/devlpl.f ../../scipy/special/cdflib/dinvnr.f ../../scipy/special/cdflib/dinvr.f ../../scipy/special/cdflib/dt1.f ../../scipy/special/cdflib/dzror.f ../../scipy/special/cdflib/erf.f ../../scipy/special/cdflib/erfc1.f ../../scipy/special/cdflib/esum.f ../../scipy/special/cdflib/exparg.f ../../scipy/special/cdflib/gam1.f ../../scipy/special/cdflib/fpser.f ../../scipy/special/cdflib/gaminv.f ../../scipy/special/cdflib/gamln.f ../../scipy/special/cdflib/gamln1.f ../../scipy/special/cdflib/gamma_fort.f ../../scipy/special/cdflib/grat1.f ../../scipy/special/cdflib/gratio.f ../../scipy/special/cdflib/gsumln.f ../../scipy/special/cdflib/ipmpar.f ../../scipy/special/cdflib/psi_fort.f ../../scipy/special/cdflib/rcomp.f ../../scipy/special/cdflib/rexp.f ../../scipy/special/cdflib/rlog.f ../../scipy/special/cdflib/rlog1.f ../../scipy/special/cdflib/spmpar.f ../../scipy/special/cdflib/stvaln.f ../../scipy/special/mach/d1mach.f ../../scipy/special/mach/i1mach.f ../../scipy/special/mach/xerror.f ../../scipy/special/specfun/specfun.f scipy/linalg/_blas_subroutine_wrappers.f scipy/linalg/_lapack_subroutine_wrappers.f ../../scipy/_build_utils/src/wrap_dummy_g77_abi.f scipy/linalg/_fblas-f2pywrappers.f ../../scipy/_build_utils/src/wrap_dummy_g77_abi.f ../../scipy/io/_test_fortran.f ../../scipy/odr/odrpack/d_lpk.f ../../scipy/odr/odrpack/d_mprec.f ../../scipy/odr/odrpack/d_odr.f ../../scipy/odr/odrpack/dlunoc.f ../../scipy/optimize/minpack/chkder.f ../../scipy/optimize/minpack/dogleg.f ../../scipy/optimize/minpack/dpmpar.f ../../scipy/optimize/minpack/enorm.f ../../scipy/optimize/minpack/fdjac1.f ../../scipy/optimize/minpack/fdjac2.f ../../scipy/optimize/minpack/hybrd.f ../../scipy/optimize/minpack/hybrd1.f ../../scipy/optimize/minpack/hybrj.f ../../scipy/optimize/minpack/hybrj1.f ../../scipy/optimize/minpack/lmder1.f ../../scipy/optimize/minpack/lmder.f ../../scipy/optimize/minpack/lmdif.f ../../scipy/optimize/minpack/lmpar.f ../../scipy/optimize/minpack/lmdif1.f ../../scipy/optimize/minpack/lmstr.f ../../scipy/optimize/minpack/lmstr1.f ../../scipy/optimize/minpack/qform.f ../../scipy/optimize/minpack/qrfac.f ../../scipy/optimize/minpack/qrsolv.f ../../scipy/optimize/minpack/r1mpyq.f ../../scipy/optimize/minpack/r1updt.f ../../scipy/optimize/minpack/rwupdt.f ../../scipy/optimize/lbfgsb_src/lbfgsb.f scipy/optimize/_lbfgsb-f2pywrappers.f ../../scipy/optimize/lbfgsb_src/linpack.f ../../scipy/optimize/lbfgsb_src/timer.f ../../scipy/optimize/cobyla/cobyla2.f ../../scipy/optimize/cobyla/trstlp.f ../../scipy/optimize/minpack2/dcsrch.f ../../scipy/optimize/minpack2/dcstep.f ../../scipy/optimize/slsqp/slsqp_optmz.f ../../scipy/optimize/__nnls/nnls.f ../../scipy/integrate/mach/d1mach.f ../../scipy/integrate/mach/xerror.f ../../scipy/integrate/quadpack/dqagpe.f ../../scipy/integrate/quadpack/dqag.f ../../scipy/integrate/quadpack/dqage.f ../../scipy/integrate/quadpack/dqagi.f ../../scipy/integrate/quadpack/dqagie.f ../../scipy/integrate/quadpack/dqagp.f ../../scipy/integrate/quadpack/dqags.f ../../scipy/integrate/quadpack/dqawc.f ../../scipy/integrate/quadpack/dqagse.f ../../scipy/integrate/quadpack/dqawce.f ../../scipy/integrate/quadpack/dqawf.f ../../scipy/integrate/quadpack/dqawfe.f ../../scipy/integrate/quadpack/dqawo.f ../../scipy/integrate/quadpack/dqawoe.f ../../scipy/integrate/quadpack/dqaws.f ../../scipy/integrate/quadpack/dqawse.f ../../scipy/integrate/quadpack/dqc25c.f ../../scipy/integrate/quadpack/dqc25f.f ../../scipy/integrate/quadpack/dqc25s.f ../../scipy/integrate/quadpack/dqcheb.f ../../scipy/integrate/quadpack/dqelg.f ../../scipy/integrate/quadpack/dqk15i.f ../../scipy/integrate/quadpack/dqk15w.f ../../scipy/integrate/quadpack/dqk15.f ../../scipy/integrate/quadpack/dqk21.f ../../scipy/integrate/quadpack/dqk31.f ../../scipy/integrate/quadpack/dqk41.f ../../scipy/integrate/quadpack/dqk51.f ../../scipy/integrate/quadpack/dqk61.f ../../scipy/integrate/quadpack/dqmomo.f ../../scipy/integrate/quadpack/dqng.f ../../scipy/integrate/quadpack/dqpsrt.f ../../scipy/integrate/quadpack/dqwgtc.f ../../scipy/integrate/quadpack/dqwgtf.f ../../scipy/integrate/quadpack/dqwgts.f ../../scipy/integrate/odepack/blkdta000.f ../../scipy/integrate/odepack/bnorm.f ../../scipy/integrate/odepack/cfode.f ../../scipy/integrate/odepack/ewset.f ../../scipy/integrate/odepack/fnorm.f ../../scipy/integrate/odepack/intdy.f ../../scipy/integrate/odepack/lsoda.f ../../scipy/integrate/odepack/prja.f ../../scipy/integrate/odepack/solsy.f ../../scipy/integrate/odepack/srcma.f ../../scipy/integrate/odepack/stoda.f ../../scipy/integrate/odepack/vmnorm.f ../../scipy/integrate/odepack/xerrwv.f ../../scipy/integrate/odepack/xsetf.f ../../scipy/integrate/odepack/xsetun.f ../../scipy/integrate/odepack/vode.f ../../scipy/integrate/odepack/zvode.f scipy/integrate/_test_odeint_banded-f2pywrappers.f ../../scipy/integrate/tests/banded5x5.f ../../scipy/interpolate/fitpack/bispeu.f ../../scipy/interpolate/fitpack/bispev.f ../../scipy/interpolate/fitpack/clocur.f ../../scipy/interpolate/fitpack/cocosp.f ../../scipy/interpolate/fitpack/concon.f ../../scipy/interpolate/fitpack/concur.f ../../scipy/interpolate/fitpack/cualde.f ../../scipy/interpolate/fitpack/curev.f ../../scipy/interpolate/fitpack/curfit.f ../../scipy/interpolate/fitpack/dblint.f ../../scipy/interpolate/fitpack/evapol.f ../../scipy/interpolate/fitpack/fourco.f ../../scipy/interpolate/fitpack/fpader.f ../../scipy/interpolate/fitpack/fpadno.f ../../scipy/interpolate/fitpack/fpadpo.f ../../scipy/interpolate/fitpack/fpback.f ../../scipy/interpolate/fitpack/fpbacp.f ../../scipy/interpolate/fitpack/fpbfout.f ../../scipy/interpolate/fitpack/fpbisp.f ../../scipy/interpolate/fitpack/fpbspl.f ../../scipy/interpolate/fitpack/fpchec.f ../../scipy/interpolate/fitpack/fpched.f ../../scipy/interpolate/fitpack/fpchep.f ../../scipy/interpolate/fitpack/fpclos.f ../../scipy/interpolate/fitpack/fpcoco.f ../../scipy/interpolate/fitpack/fpcons.f ../../scipy/interpolate/fitpack/fpcosp.f ../../scipy/interpolate/fitpack/fpcsin.f ../../scipy/interpolate/fitpack/fpcurf.f ../../scipy/interpolate/fitpack/fpcuro.f ../../scipy/interpolate/fitpack/fpcyt1.f ../../scipy/interpolate/fitpack/fpcyt2.f ../../scipy/interpolate/fitpack/fpdeno.f ../../scipy/interpolate/fitpack/fpdisc.f ../../scipy/interpolate/fitpack/fpfrno.f ../../scipy/interpolate/fitpack/fpgivs.f ../../scipy/interpolate/fitpack/fpgrdi.f ../../scipy/interpolate/fitpack/fpgrpa.f ../../scipy/interpolate/fitpack/fpgrre.f ../../scipy/interpolate/fitpack/fpgrsp.f ../../scipy/interpolate/fitpack/fpinst.f ../../scipy/interpolate/fitpack/fpintb.f ../../scipy/interpolate/fitpack/fpknot.f ../../scipy/interpolate/fitpack/fpopdi.f ../../scipy/interpolate/fitpack/fpopsp.f ../../scipy/interpolate/fitpack/fporde.f ../../scipy/interpolate/fitpack/fppara.f ../../scipy/interpolate/fitpack/fppasu.f ../../scipy/interpolate/fitpack/fpperi.f ../../scipy/interpolate/fitpack/fppocu.f ../../scipy/interpolate/fitpack/fppogr.f ../../scipy/interpolate/fitpack/fppola.f ../../scipy/interpolate/fitpack/fprank.f ../../scipy/interpolate/fitpack/fprati.f ../../scipy/interpolate/fitpack/fpregr.f ../../scipy/interpolate/fitpack/fprota.f ../../scipy/interpolate/fitpack/fprppo.f ../../scipy/interpolate/fitpack/fprpsp.f ../../scipy/interpolate/fitpack/fpseno.f ../../scipy/interpolate/fitpack/fpspgr.f ../../scipy/interpolate/fitpack/fpsphe.f ../../scipy/interpolate/fitpack/fpsuev.f ../../scipy/interpolate/fitpack/fpsurf.f ../../scipy/interpolate/fitpack/fpsysy.f ../../scipy/interpolate/fitpack/fptrnp.f ../../scipy/interpolate/fitpack/fptrpe.f ../../scipy/interpolate/fitpack/insert.f ../../scipy/interpolate/fitpack/parcur.f ../../scipy/interpolate/fitpack/parder.f ../../scipy/interpolate/fitpack/pardeu.f ../../scipy/interpolate/fitpack/parsur.f ../../scipy/interpolate/fitpack/percur.f ../../scipy/interpolate/fitpack/pogrid.f ../../scipy/interpolate/fitpack/polar.f ../../scipy/interpolate/fitpack/profil.f ../../scipy/interpolate/fitpack/regrid.f ../../scipy/interpolate/fitpack/spalde.f ../../scipy/interpolate/fitpack/spgrid.f ../../scipy/interpolate/fitpack/sphere.f ../../scipy/interpolate/fitpack/splder.f ../../scipy/interpolate/fitpack/splev.f ../../scipy/interpolate/fitpack/splint.f ../../scipy/interpolate/fitpack/sproot.f ../../scipy/interpolate/fitpack/surev.f ../../scipy/interpolate/fitpack/pardtc.f ../../scipy/interpolate/fitpack/surfit.f scipy/interpolate/dfitpack-f2pywrappers.f ../../scipy/integrate/dop/dop853.f ../../scipy/integrate/dop/dopri5.f scipy/integrate/_lsoda-f2pywrappers.f scipy/integrate/_vode-f2pywrappers.f scipy/integrate/_dop-f2pywrappers.f ```

Via the LFortran -> GFortran combo. Then when I run tests, I get:

Toggle me!

```console In [1]: import scipy In [2]: scipy.test() ============================= test session starts ============================== platform darwin -- Python 3.10.6, pytest-7.1.3, pluggy-1.0.0 rootdir: /Users/ondrej/repos/scipy, configfile: pytest.ini plugins: xdist-2.5.0, forked-1.4.0, timeout-2.1.0, cov-4.0.0 collected 52264 items / 12238 deselected / 40026 selected ../_lib/tests/test__gcutils.py ...... [ 0%] ../_lib/tests/test__pep440.py ......... [ 0%] ../_lib/tests/test__testutils.py .. [ 0%] ../_lib/tests/test__threadsafety.py .. [ 0%] ../_lib/tests/test__util.py ........................... [ 0%] ../_lib/tests/test_bunch.py ............................ [ 0%] ../_lib/tests/test_ccallback.py .... [ 0%] ../_lib/tests/test_deprecation.py . [ 0%] ../_lib/tests/test_import_cycles.py . [ 0%] ../_lib/tests/test_public_api.py .... [ 0%] ../_lib/tests/test_scipy_version.py . [ 0%] ../_lib/tests/test_tmpdirs.py ... [ 0%] ../cluster/tests/test_disjoint_set.py ..................... [ 0%] ../cluster/tests/test_hierarchy.py ..................................... [ 0%] ...................................................... [ 0%] ../cluster/tests/test_vq.py ......................... [ 0%] ../constants/tests/test_codata.py ....... [ 0%] ../constants/tests/test_constants.py ... [ 0%] ../datasets/tests/test_data.py .... [ 0%] ../fft/_pocketfft/tests/test_basic.py .................................. [ 0%] ........................................................................ [ 0%] ........................................................................ [ 1%] ........................................................................ [ 1%] ........................................................................ [ 1%] ........................................................................ [ 1%] .................................................................. [ 1%] ../fft/_pocketfft/tests/test_real_transforms.py ........................ 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[ 14%] ........................................................................ [ 14%] ........................................................................ [ 14%] ........................................................................ [ 14%] ............................................................. [ 14%] ../fftpack/tests/test_basic.py ......x.................................. [ 15%] ........................................................................ [ 15%] ........................................................................ [ 15%] ........................................................................ [ 15%] ....................................... [ 15%] ../fftpack/tests/test_helper.py .... [ 15%] ../fftpack/tests/test_import.py . [ 15%] ../fftpack/tests/test_pseudo_diffs.py ............................. [ 15%] ../fftpack/tests/test_real_transforms.py ............................... [ 15%] ........................................................................ [ 16%] ........................................................................ [ 16%] ................................................. [ 16%] ../integrate/_ivp/tests/test_ivp.py ..............F............ [ 16%] ../integrate/_ivp/tests/test_rk.py .......... [ 16%] ../integrate/tests/test__quad_vec.py ......................... [ 16%] ../integrate/tests/test_banded_ode_solvers.py . [ 16%] ../integrate/tests/test_bvp.py ................ [ 16%] ../integrate/tests/test_integrate.py ..F................................ [ 16%] ............ [ 16%] ../integrate/tests/test_odeint_jac.py .. [ 16%] ../integrate/tests/test_quadpack.py .........FFFF....................... [ 16%] .......................................................... [ 16%] ../integrate/tests/test_quadrature.py .................................. [ 16%] [ 16%] ../interpolate/tests/test_bsplines.py .................................. [ 17%] ........................................................................ [ 17%] .x....................... [ 17%] ../interpolate/tests/test_fitpack.py F.................................. [ 17%] ..s..... [ 17%] ../interpolate/tests/test_fitpack2.py .................................. [ 17%] .........................F...... [ 17%] ../interpolate/tests/test_interpnd.py ..................... [ 17%] ../interpolate/tests/test_interpolate.py ............................... [ 17%] ........................................................................ [ 17%] ........................... [ 17%] ../interpolate/tests/test_ndgriddata.py .................. [ 17%] ../interpolate/tests/test_pade.py .... [ 18%] ../interpolate/tests/test_polyint.py ................................... [ 18%] .................... [ 18%] ../interpolate/tests/test_rbf.py .......... [ 18%] ../interpolate/tests/test_rbfinterp.py ................................. [ 18%] ........................................................................ [ 18%] ........................................................................ [ 18%] ..... [ 18%] ../interpolate/tests/test_rgi.py ....................................... [ 18%] ........................................................................ [ 18%] ......... [ 18%] ../io/_harwell_boeing/tests/test_fortran_format.py ........... [ 18%] ../io/_harwell_boeing/tests/test_hb.py .. [ 18%] ../io/arff/tests/test_arffread.py ........................... [ 19%] ../io/matlab/tests/test_byteordercodes.py .. [ 19%] ../io/matlab/tests/test_mio.py ......................................... [ 19%] ........................... [ 19%] ../io/matlab/tests/test_mio5_utils.py ...... [ 19%] ../io/matlab/tests/test_mio_funcs.py . [ 19%] ../io/matlab/tests/test_mio_utils.py .. [ 19%] ../io/matlab/tests/test_miobase.py . [ 19%] ../io/matlab/tests/test_pathological.py .. [ 19%] ../io/matlab/tests/test_streams.py ........... [ 19%] ../io/tests/test_fortran.py ........... [ 19%] ../io/tests/test_idl.py ................................................ [ 19%] ................... [ 19%] ../io/tests/test_mmio.py ............................................... [ 19%] ........................... [ 19%] ../io/tests/test_netcdf.py ......................... [ 19%] ../io/tests/test_paths.py ........... [ 19%] ../io/tests/test_wavfile.py ............................................ [ 19%] ........................................................................ [ 20%] ........................................................................ [ 20%] ........................................................................ [ 20%] .......................... [ 20%] ../linalg/tests/test_basic.py .......................................... [ 20%] ...................s................................................s... [ 20%] ........................ [ 20%] ../linalg/tests/test_blas.py ........................................... [ 20%] ........ [ 20%] ../linalg/tests/test_cython_blas.py ...... [ 20%] ../linalg/tests/test_cython_lapack.py .. [ 20%] ../linalg/tests/test_cythonized_array_utils.py ......................... [ 20%] ..................... [ 21%] ../linalg/tests/test_decomp.py ........X................................ [ 21%] ........................................................................ [ 21%] ........................................................................ [ 21%] ........................................................................ [ 21%] .....X...................x............................... [ 21%] ../linalg/tests/test_decomp_cholesky.py ................ [ 21%] ../linalg/tests/test_decomp_cossin.py .................................. [ 21%] ......................................................... [ 22%] ../linalg/tests/test_decomp_ldl.py ............ [ 22%] ../linalg/tests/test_decomp_polar.py .. [ 22%] ../linalg/tests/test_decomp_update.py .................................. [ 22%] ........................................................................ [ 22%] ........................................................................ [ 22%] ........................................................................ [ 22%] ........................................................................ [ 22%] ........................................................................ [ 23%] ........................................................................ [ 23%] ........................................................................ [ 23%] ........................................................................ [ 23%] ....................................................... [ 23%] ../linalg/tests/test_fblas.py .......................................... [ 23%] ........................................................................ [ 24%] ............... [ 24%] ../linalg/tests/test_interpolative.py .................................. [ 24%] .............. [ 24%] ../linalg/tests/test_lapack.py ......................................... [ 24%] .......................................................................s [ 24%] ........................................................................ [ 24%] ........................................................................ [ 24%] ........................................................................ [ 25%] ........................................................................ [ 25%] ........................................................................ [ 25%] ........................................................................ [ 25%] ........................................................................ [ 25%] ........................................................................ [ 25%] ........................................................................ [ 26%] ........................................................................ 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[ 28%] ........................................................................ [ 28%] ........................................................................ [ 28%] ..................................................x.........x... [ 28%] ../linalg/tests/test_matfuncs.py .....................................X. [ 29%] ................ [ 29%] ../linalg/tests/test_matmul_toeplitz.py ... [ 29%] ../linalg/tests/test_misc.py . [ 29%] ../linalg/tests/test_procrustes.py .......... [ 29%] ../linalg/tests/test_sketches.py ..... [ 29%] ../linalg/tests/test_solve_toeplitz.py ......X [ 29%] ../linalg/tests/test_solvers.py ..xF..... [ 29%] ../linalg/tests/test_special_matrices.py ............................... [ 29%] ........................................................................ [ 29%] ................ [ 29%] ../misc/tests/test_common.py ... [ 29%] ../misc/tests/test_doccer.py ..... [ 29%] ../ndimage/tests/test_c_api.py ... [ 29%] ../ndimage/tests/test_datatypes.py .F [ 29%] ../ndimage/tests/test_filters.py ....................................... [ 29%] ........................................................................ [ 29%] ........................................................................ [ 30%] ........................................................................ [ 30%] ........................................................................ [ 30%] ........................................................................ [ 30%] ........................................................................ [ 30%] ........................................................................ [ 30%] ........................................................................ [ 31%] ........................................................................ [ 31%] ........................................................................ 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[ 33%] ..................................... [ 33%] ../ndimage/tests/test_interpolation.py ................................. [ 33%] ........................................................................ [ 33%] ........................................................................ [ 34%] ........................................................................ [ 34%] ........................................................................ [ 34%] ........................................................................ [ 34%] ........................................................................ [ 34%] ........................................................................ [ 34%] ........................................................................ [ 35%] ........................................................................ [ 35%] ........................................................................ [ 35%] ........................................................................ [ 35%] ........................................................................ [ 35%] ........................................................................ [ 36%] ................... [ 36%] ../ndimage/tests/test_measurements.py .................................. [ 36%] ........................................................................ [ 36%] ............. [ 36%] ../ndimage/tests/test_morphology.py .................................... [ 36%] ........................................................................ [ 36%] ........................................................................ [ 36%] ........................................................................ [ 36%] ........................................................................ [ 37%] ........................................................................ [ 37%] ........................................................................ [ 37%] ........................................................................ [ 37%] ........................................................................ [ 37%] ........................................................................ [ 38%] ........................................................................ [ 38%] ........................................................................ [ 38%] ....... [ 38%] ../ndimage/tests/test_splines.py .................. [ 38%] ../odr/tests/test_odr.py ..FFFatal Python error: Segmentation fault Thread 0x0000000170bc7000 (most recent call first): File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/threading.py", line 320 in wait File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/threading.py", line 607 in wait File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/IPython/core/history.py", line 881 in run File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/IPython/core/history.py", line 60 in only_when_enabled File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/decorator.py", line 232 in fun File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/threading.py", line 1016 in _bootstrap_inner File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/threading.py", line 973 in _bootstrap Current thread 0x00000001007dc580 (most recent call first): File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/_code/source.py", line 125 in File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/_code/source.py", line 125 in findsource File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/_code/code.py", line 106 in fullsource File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/_code/code.py", line 250 in getsource File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/_code/code.py", line 718 in _getentrysource File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/_code/code.py", line 810 in repr_traceback_entry File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/_code/code.py", line 867 in repr_traceback File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/_code/code.py", line 926 in repr_excinfo File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/_code/code.py", line 666 in getrepr File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/nodes.py", line 475 in _repr_failure_py File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/python.py", line 1795 in repr_failure File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/reports.py", line 345 in from_item_and_call File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/runner.py", line 365 in pytest_runtest_makereport File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/pluggy/_callers.py", line 39 in _multicall File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/pluggy/_manager.py", line 80 in _hookexec File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/pluggy/_hooks.py", line 265 in __call__ File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/runner.py", line 221 in call_and_report File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/runner.py", line 130 in runtestprotocol File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/runner.py", line 111 in pytest_runtest_protocol File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/pluggy/_callers.py", line 39 in _multicall File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/pluggy/_manager.py", line 80 in _hookexec File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/pluggy/_hooks.py", line 265 in __call__ File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/main.py", line 347 in pytest_runtestloop File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/pluggy/_callers.py", line 39 in _multicall File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/pluggy/_manager.py", line 80 in _hookexec File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/pluggy/_hooks.py", line 265 in __call__ File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/main.py", line 322 in _main File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/main.py", line 268 in wrap_session File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/main.py", line 315 in pytest_cmdline_main File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/pluggy/_callers.py", line 39 in _multicall File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/pluggy/_manager.py", line 80 in _hookexec File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/pluggy/_hooks.py", line 265 in __call__ File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/_pytest/config/__init__.py", line 164 in main File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/scipy/_lib/_testutils.py", line 69 in __call__ File "", line 1 in File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 3378 in run_code File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 3318 in run_ast_nodes File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 3139 in run_cell_async File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/IPython/core/async_helpers.py", line 129 in _pseudo_sync_runner File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 2940 in _run_cell File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/IPython/core/interactiveshell.py", line 2885 in run_cell File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/IPython/terminal/interactiveshell.py", line 678 in interact File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/IPython/terminal/interactiveshell.py", line 685 in mainloop File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/IPython/terminal/ipapp.py", line 318 in start File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/traitlets/config/application.py", line 978 in launch_instance File "/Users/ondrej/mambaforge/envs/scipy-dev/lib/python3.10/site-packages/IPython/__init__.py", line 124 in start_ipython File "/Users/ondrej/mambaforge/envs/scipy-dev/bin/ipython", line 10 in Extension modules: numpy.core._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, scipy._lib._ccallback_c, numpy.linalg.lapack_lite, scipy._lib._fpumode, scipy._lib._test_ccallback, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._isolve._iterative, scipy.linalg._fblas, scipy.linalg._flapack, scipy.linalg._cythonized_array_utils, scipy.linalg._flinalg, scipy.linalg._solve_toeplitz, scipy.linalg._matfuncs_sqrtm_triu, scipy.linalg.cython_lapack, scipy.linalg.cython_blas, scipy.linalg._matfuncs_expm, scipy.linalg._decomp_update, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.csgraph._tools, scipy.sparse.csgraph._shortest_path, scipy.sparse.csgraph._traversal, scipy.sparse.csgraph._min_spanning_tree, scipy.sparse.csgraph._flow, scipy.sparse.csgraph._matching, scipy.sparse.csgraph._reordering, scipy.spatial._ckdtree, scipy._lib.messagestream, scipy.spatial._qhull, scipy.spatial._voronoi, scipy.spatial._distance_wrap, scipy.spatial._hausdorff, scipy.special._ufuncs_cxx, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.special._ellip_harm_2, scipy.spatial.transform._rotation, scipy.cluster._vq, scipy.cluster._hierarchy, scipy.cluster._optimal_leaf_ordering, matplotlib._c_internal_utils, PIL._imaging, matplotlib._path, kiwisolver._cext, matplotlib._image, _cffi_backend, unicodedata2, scipy._lib._uarray._uarray, scipy.fftpack.convolve, scipy.optimize._minpack2, scipy.optimize._group_columns, scipy.optimize._trlib._trlib, scipy.optimize._lbfgsb, _moduleTNC, scipy.optimize._moduleTNC, scipy.optimize._cobyla, scipy.optimize._slsqp, scipy.optimize._minpack, scipy.optimize._lsq.givens_elimination, scipy.optimize._zeros, scipy.optimize.__nnls, scipy.optimize._highs.cython.src._highs_wrapper, scipy.optimize._highs._highs_wrapper, scipy.optimize._highs.cython.src._highs_constants, scipy.optimize._highs._highs_constants, scipy.linalg._interpolative, scipy.optimize._bglu_dense, scipy.optimize._lsap, scipy.optimize._direct, scipy.integrate._odepack, scipy.integrate._quadpack, scipy.integrate._vode, scipy.integrate._dop, scipy.integrate._lsoda, scipy.integrate._test_odeint_banded, scipy.ndimage._nd_image, _ni_label, scipy.ndimage._ni_label, scipy.special.cython_special, scipy.stats._stats, scipy.stats.beta_ufunc, scipy.stats._boost.beta_ufunc, scipy.stats.binom_ufunc, scipy.stats._boost.binom_ufunc, scipy.stats.nbinom_ufunc, scipy.stats._boost.nbinom_ufunc, scipy.stats.hypergeom_ufunc, scipy.stats._boost.hypergeom_ufunc, scipy.stats.ncf_ufunc, scipy.stats._boost.ncf_ufunc, scipy.stats.ncx2_ufunc, scipy.stats._boost.ncx2_ufunc, scipy.stats.nct_ufunc, scipy.stats._boost.nct_ufunc, scipy.stats.skewnorm_ufunc, scipy.stats._boost.skewnorm_ufunc, scipy.stats.invgauss_ufunc, scipy.stats._boost.invgauss_ufunc, scipy.interpolate._fitpack, scipy.interpolate.dfitpack, scipy.interpolate._bspl, scipy.interpolate._ppoly, scipy.interpolate.interpnd, scipy.interpolate._rbfinterp_pythran, scipy.stats._biasedurn, scipy.stats._levy_stable.levyst, scipy.stats._stats_pythran, scipy.stats._statlib, scipy.stats._mvn, scipy.stats._sobol, scipy.stats._qmc_cy, scipy.io.matlab._mio_utils, scipy.io.matlab._streams, scipy.io.matlab._mio5_utils, scipy.io._test_fortran, scipy.ndimage._ctest, _cytest, scipy.ndimage._cytest, scipy.odr.__odrpack, scipy.optimize.cython_optimize._zeros, scipy.signal._sigtools, scipy.signal._max_len_seq_inner, scipy.signal._upfirdn_apply, scipy.signal._spline, scipy.signal._sosfilt, scipy.signal._spectral, scipy.signal._peak_finding_utils, gmpy2.gmpy2, scipy.sparse.linalg._propack._spropack, scipy.sparse.linalg._propack._dpropack, scipy.sparse.linalg._propack._cpropack, scipy.sparse.linalg._propack._zpropack, scipy.special._test_round, scipy.stats.unuran_wrapper, scipy.stats._unuran.unuran_wrapper, psutil._psutil_osx, psutil._psutil_posix, scipy._lib._test_deprecation_def, scipy._lib._test_deprecation_call (total: 154) zsh: segmentation fault ipython ```

So there are some failures, but I think things look pretty good so far.

[certik]

To just compile minpack, do:

diff --git a/wrapper.sh b/wrapper.sh
index 7c32d024f..6a1ed6881 100755
--- a/wrapper.sh
+++ b/wrapper.sh
@@ -5,7 +5,7 @@ set -ex
 dir="$HOME/repos/scipy"
 A="$@"
 Alast="${A##* }"
-if [[ "${Alast: -2}" == ".f" ]]; then
+if [[ "${Alast: -2}" == ".f" && "$Alast" == *"minpack"* ]]; then
     echo $Alast  >> $dir/log.txt
     lfortran --fixed-form fmt --no-color $Alast > ${Alast}90
     gfortran.actual -ffree-line-length-none ${A}90

Then it just compiles the following files:

../../scipy/optimize/minpack/chkder.f
../../scipy/optimize/minpack/dogleg.f
../../scipy/optimize/minpack/dpmpar.f
../../scipy/optimize/minpack/enorm.f
../../scipy/optimize/minpack/fdjac1.f
../../scipy/optimize/minpack/fdjac2.f
../../scipy/optimize/minpack/hybrd.f
../../scipy/optimize/minpack/hybrd1.f
../../scipy/optimize/minpack/hybrj.f
../../scipy/optimize/minpack/hybrj1.f
../../scipy/optimize/minpack/lmder.f
../../scipy/optimize/minpack/lmder1.f
../../scipy/optimize/minpack/lmdif.f
../../scipy/optimize/minpack/lmdif1.f
../../scipy/optimize/minpack/lmpar.f
../../scipy/optimize/minpack/lmstr.f
../../scipy/optimize/minpack/lmstr1.f
../../scipy/optimize/minpack/qform.f
../../scipy/optimize/minpack/qrfac.f
../../scipy/optimize/minpack/qrsolv.f
../../scipy/optimize/minpack/r1mpyq.f
../../scipy/optimize/minpack/r1updt.f
../../scipy/optimize/minpack/rwupdt.f
../../scipy/optimize/minpack2/dcsrch.f
../../scipy/optimize/minpack2/dcstep.f

And the test results are:

[...]
../optimize/tests/test_minpack.py ...................................... [ 42%]
...........................                                              [ 42%]
[...]
= 24 failed, 37647 passed, 2207 skipped, 12238 deselected, 135 xfailed, 13 xpassed in 302.55s (0:05:02) =

Which is the same amount of failures as I was getting above, so I think LFortran is parsing all of minpack correctly to AST.

[konradha]

My output (Ubuntu 22.04) original

= 37692 passed, 2135 skipped, 12238 deselected, 160 xfailed, 13 xpassed, 26 errors in 473.30s (0:07:53) =

Haven't fully figured out the other steps to compile the generated .f90 files, but will get there later today :)

Thanks for the detailed plan.

[certik]

I think this issue is fixed. See this answer for more details: https://fortran-lang.discourse.group/t/lfortran-can-now-parse-all-of-scipy-to-ast/4479/8.

The next step is to compile some well defined subset of SciPy fully, link with SciPy and all tests to pass. We are focusing on Minpack: #512.