? GR0V Shell

GR0V shell

Linux server122.web-hosting.com 4.18.0-513.18.1.lve.el8.x86_64 #1 SMP Thu Feb 22 12:55:50 UTC 2024 x86_64

Path : /opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/f2py/tests/
File Upload :
Current File : //opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/f2py/tests/test_parameter.py

import os
import pytest

import numpy as np

from . import util


class TestParameters(util.F2PyTest):
    # Check that intent(in out) translates as intent(inout)
    sources = [
        util.getpath("tests", "src", "parameter", "constant_real.f90"),
        util.getpath("tests", "src", "parameter", "constant_integer.f90"),
        util.getpath("tests", "src", "parameter", "constant_both.f90"),
        util.getpath("tests", "src", "parameter", "constant_compound.f90"),
        util.getpath("tests", "src", "parameter", "constant_non_compound.f90"),
    ]

    @pytest.mark.slow
    def test_constant_real_single(self):
        # non-contiguous should raise error
        x = np.arange(6, dtype=np.float32)[::2]
        pytest.raises(ValueError, self.module.foo_single, x)

        # check values with contiguous array
        x = np.arange(3, dtype=np.float32)
        self.module.foo_single(x)
        assert np.allclose(x, [0 + 1 + 2 * 3, 1, 2])

    @pytest.mark.slow
    def test_constant_real_double(self):
        # non-contiguous should raise error
        x = np.arange(6, dtype=np.float64)[::2]
        pytest.raises(ValueError, self.module.foo_double, x)

        # check values with contiguous array
        x = np.arange(3, dtype=np.float64)
        self.module.foo_double(x)
        assert np.allclose(x, [0 + 1 + 2 * 3, 1, 2])

    @pytest.mark.slow
    def test_constant_compound_int(self):
        # non-contiguous should raise error
        x = np.arange(6, dtype=np.int32)[::2]
        pytest.raises(ValueError, self.module.foo_compound_int, x)

        # check values with contiguous array
        x = np.arange(3, dtype=np.int32)
        self.module.foo_compound_int(x)
        assert np.allclose(x, [0 + 1 + 2 * 6, 1, 2])

    @pytest.mark.slow
    def test_constant_non_compound_int(self):
        # check values
        x = np.arange(4, dtype=np.int32)
        self.module.foo_non_compound_int(x)
        assert np.allclose(x, [0 + 1 + 2 + 3 * 4, 1, 2, 3])

    @pytest.mark.slow
    def test_constant_integer_int(self):
        # non-contiguous should raise error
        x = np.arange(6, dtype=np.int32)[::2]
        pytest.raises(ValueError, self.module.foo_int, x)

        # check values with contiguous array
        x = np.arange(3, dtype=np.int32)
        self.module.foo_int(x)
        assert np.allclose(x, [0 + 1 + 2 * 3, 1, 2])

    @pytest.mark.slow
    def test_constant_integer_long(self):
        # non-contiguous should raise error
        x = np.arange(6, dtype=np.int64)[::2]
        pytest.raises(ValueError, self.module.foo_long, x)

        # check values with contiguous array
        x = np.arange(3, dtype=np.int64)
        self.module.foo_long(x)
        assert np.allclose(x, [0 + 1 + 2 * 3, 1, 2])

    @pytest.mark.slow
    def test_constant_both(self):
        # non-contiguous should raise error
        x = np.arange(6, dtype=np.float64)[::2]
        pytest.raises(ValueError, self.module.foo, x)

        # check values with contiguous array
        x = np.arange(3, dtype=np.float64)
        self.module.foo(x)
        assert np.allclose(x, [0 + 1 * 3 * 3 + 2 * 3 * 3, 1 * 3, 2 * 3])

    @pytest.mark.slow
    def test_constant_no(self):
        # non-contiguous should raise error
        x = np.arange(6, dtype=np.float64)[::2]
        pytest.raises(ValueError, self.module.foo_no, x)

        # check values with contiguous array
        x = np.arange(3, dtype=np.float64)
        self.module.foo_no(x)
        assert np.allclose(x, [0 + 1 * 3 * 3 + 2 * 3 * 3, 1 * 3, 2 * 3])

    @pytest.mark.slow
    def test_constant_sum(self):
        # non-contiguous should raise error
        x = np.arange(6, dtype=np.float64)[::2]
        pytest.raises(ValueError, self.module.foo_sum, x)

        # check values with contiguous array
        x = np.arange(3, dtype=np.float64)
        self.module.foo_sum(x)
        assert np.allclose(x, [0 + 1 * 3 * 3 + 2 * 3 * 3, 1 * 3, 2 * 3])

T1KUS90T
  root-grov@198.54.114.191:~$