from __future__ import division, absolute_import, print_function

import warnings
import pytest

import numpy as np
from numpy.testing import (
    assert_, assert_equal, assert_raises, assert_warns, assert_array_equal,
    temppath,
    )
from numpy.core.tests._locales import CommaDecimalPointLocale

LD_INFO = np.finfo(np.longdouble)
longdouble_longer_than_double = (LD_INFO.eps < np.finfo(np.double).eps)


_o = 1 + LD_INFO.eps
string_to_longdouble_inaccurate = (_o != np.longdouble(repr(_o)))
del _o


def test_scalar_extraction():
    """Confirm that extracting a value doesn't convert to python float"""
    o = 1 + LD_INFO.eps
    a = np.array([o, o, o])
    assert_equal(a[1], o)


# Conversions string -> long double

# 0.1 not exactly representable in base 2 floating point.
repr_precision = len(repr(np.longdouble(0.1)))
# +2 from macro block starting around line 842 in scalartypes.c.src.
@pytest.mark.skipif(LD_INFO.precision + 2 >= repr_precision,
                    reason="repr precision not enough to show eps")
def test_repr_roundtrip():
    # We will only see eps in repr if within printing precision.
    o = 1 + LD_INFO.eps
    assert_equal(np.longdouble(repr(o)), o, "repr was %s" % repr(o))


def test_unicode():
    np.longdouble(u"1.2")


def test_string():
    np.longdouble("1.2")


def test_bytes():
    np.longdouble(b"1.2")


@pytest.mark.skipif(string_to_longdouble_inaccurate, reason="Need strtold_l")
def test_repr_roundtrip_bytes():
    o = 1 + LD_INFO.eps
    assert_equal(np.longdouble(repr(o).encode("ascii")), o)


def test_bogus_string():
    assert_raises(ValueError, np.longdouble, "spam")
    assert_raises(ValueError, np.longdouble, "1.0 flub")


@pytest.mark.skipif(string_to_longdouble_inaccurate, reason="Need strtold_l")
def test_fromstring():
    o = 1 + LD_INFO.eps
    s = (" " + repr(o))*5
    a = np.array([o]*5)
    assert_equal(np.fromstring(s, sep=" ", dtype=np.longdouble), a,
                 err_msg="reading '%s'" % s)


def test_fromstring_complex():
    for ctype in ["complex", "cdouble", "cfloat"]:
        # Check spacing between separator
        assert_equal(np.fromstring("1, 2 ,  3  ,4", sep=",", dtype=ctype),
                     np.array([1., 2., 3., 4.]))
        # Real component not specified
        assert_equal(np.fromstring("1j, -2j,  3j, 4e1j", sep=",", dtype=ctype),
                     np.array([1.j, -2.j, 3.j, 40.j]))
        # Both components specified
        assert_equal(np.fromstring("1+1j,2-2j, -3+3j,  -4e1+4j", sep=",", dtype=ctype),
                     np.array([1. + 1.j, 2. - 2.j, - 3. + 3.j, - 40. + 4j]))
        # Spaces at wrong places
        with assert_warns(DeprecationWarning):
            assert_equal(np.fromstring("1+2 j,3", dtype=ctype, sep=","),
                         np.array([1.]))
        with assert_warns(DeprecationWarning):
            assert_equal(np.fromstring("1+ 2j,3", dtype=ctype, sep=","),
                         np.array([1.]))
        with assert_warns(DeprecationWarning):
            assert_equal(np.fromstring("1 +2j,3", dtype=ctype, sep=","),
                         np.array([1.]))
        with assert_warns(DeprecationWarning):
            assert_equal(np.fromstring("1+j", dtype=ctype, sep=","),
                         np.array([1.]))
        with assert_warns(DeprecationWarning):
            assert_equal(np.fromstring("1+", dtype=ctype, sep=","),
                         np.array([1.]))
        with assert_warns(DeprecationWarning):
            assert_equal(np.fromstring("1j+1", dtype=ctype, sep=","),
                         np.array([1j]))


def test_fromstring_bogus():
    with assert_warns(DeprecationWarning):
        assert_equal(np.fromstring("1. 2. 3. flop 4.", dtype=float, sep=" "),
                     np.array([1., 2., 3.]))


def test_fromstring_empty():
    with assert_warns(DeprecationWarning):
        assert_equal(np.fromstring("xxxxx", sep="x"),
                     np.array([]))


def test_fromstring_missing():
    with assert_warns(DeprecationWarning):
        assert_equal(np.fromstring("1xx3x4x5x6", sep="x"),
                     np.array([1]))


class TestFileBased(object):

    ldbl = 1 + LD_INFO.eps
    tgt = np.array([ldbl]*5)
    out = ''.join([repr(t) + '\n' for t in tgt])

    def test_fromfile_bogus(self):
        with temppath() as path:
            with open(path, 'wt') as f:
                f.write("1. 2. 3. flop 4.\n")

            with assert_warns(DeprecationWarning):
                res = np.fromfile(path, dtype=float, sep=" ")
        assert_equal(res, np.array([1., 2., 3.]))

    def test_fromfile_complex(self):
        for ctype in ["complex", "cdouble", "cfloat"]:
            # Check spacing between separator and only real component specified
            with temppath() as path:
                with open(path, 'wt') as f:
                    f.write("1, 2 ,  3  ,4\n")

                res = np.fromfile(path, dtype=ctype, sep=",")
            assert_equal(res, np.array([1., 2., 3., 4.]))

            # Real component not specified
            with temppath() as path:
                with open(path, 'wt') as f:
                    f.write("1j, -2j,  3j, 4e1j\n")

                res = np.fromfile(path, dtype=ctype, sep=",")
            assert_equal(res, np.array([1.j, -2.j, 3.j, 40.j]))

            # Both components specified
            with temppath() as path:
                with open(path, 'wt') as f:
                    f.write("1+1j,2-2j, -3+3j,  -4e1+4j\n")

                res = np.fromfile(path, dtype=ctype, sep=",")
            assert_equal(res, np.array([1. + 1.j, 2. - 2.j, - 3. + 3.j, - 40. + 4j]))

            # Spaces at wrong places
            with temppath() as path:
                with open(path, 'wt') as f:
                    f.write("1+2 j,3\n")

                with assert_warns(DeprecationWarning):
                    res = np.fromfile(path, dtype=ctype, sep=",")
            assert_equal(res, np.array([1.]))

            # Spaces at wrong places
            with temppath() as path:
                with open(path, 'wt') as f:
                    f.write("1+ 2j,3\n")

                with assert_warns(DeprecationWarning):
                    res = np.fromfile(path, dtype=ctype, sep=",")
            assert_equal(res, np.array([1.]))

            # Spaces at wrong places
            with temppath() as path:
                with open(path, 'wt') as f:
                    f.write("1 +2j,3\n")

                with assert_warns(DeprecationWarning):
                    res = np.fromfile(path, dtype=ctype, sep=",")
            assert_equal(res, np.array([1.]))

            # Spaces at wrong places
            with temppath() as path:
                with open(path, 'wt') as f:
                    f.write("1+j\n")

                with assert_warns(DeprecationWarning):
                    res = np.fromfile(path, dtype=ctype, sep=",")
            assert_equal(res, np.array([1.]))

            # Spaces at wrong places
            with temppath() as path:
                with open(path, 'wt') as f:
                    f.write("1+\n")

                with assert_warns(DeprecationWarning):
                    res = np.fromfile(path, dtype=ctype, sep=",")
            assert_equal(res, np.array([1.]))

            # Spaces at wrong places
            with temppath() as path:
                with open(path, 'wt') as f:
                    f.write("1j+1\n")

                with assert_warns(DeprecationWarning):
                    res = np.fromfile(path, dtype=ctype, sep=",")
            assert_equal(res, np.array([1.j]))



    @pytest.mark.skipif(string_to_longdouble_inaccurate,
                        reason="Need strtold_l")
    def test_fromfile(self):
        with temppath() as path:
            with open(path, 'wt') as f:
                f.write(self.out)
            res = np.fromfile(path, dtype=np.longdouble, sep="\n")
        assert_equal(res, self.tgt)

    @pytest.mark.skipif(string_to_longdouble_inaccurate,
                        reason="Need strtold_l")
    def test_genfromtxt(self):
        with temppath() as path:
            with open(path, 'wt') as f:
                f.write(self.out)
            res = np.genfromtxt(path, dtype=np.longdouble)
        assert_equal(res, self.tgt)

    @pytest.mark.skipif(string_to_longdouble_inaccurate,
                        reason="Need strtold_l")
    def test_loadtxt(self):
        with temppath() as path:
            with open(path, 'wt') as f:
                f.write(self.out)
            res = np.loadtxt(path, dtype=np.longdouble)
        assert_equal(res, self.tgt)

    @pytest.mark.skipif(string_to_longdouble_inaccurate,
                        reason="Need strtold_l")
    def test_tofile_roundtrip(self):
        with temppath() as path:
            self.tgt.tofile(path, sep=" ")
            res = np.fromfile(path, dtype=np.longdouble, sep=" ")
        assert_equal(res, self.tgt)


# Conversions long double -> string


def test_repr_exact():
    o = 1 + LD_INFO.eps
    assert_(repr(o) != '1')


@pytest.mark.skipif(longdouble_longer_than_double, reason="BUG #2376")
@pytest.mark.skipif(string_to_longdouble_inaccurate,
                    reason="Need strtold_l")
def test_format():
    o = 1 + LD_INFO.eps
    assert_("{0:.40g}".format(o) != '1')


@pytest.mark.skipif(longdouble_longer_than_double, reason="BUG #2376")
@pytest.mark.skipif(string_to_longdouble_inaccurate,
                    reason="Need strtold_l")
def test_percent():
    o = 1 + LD_INFO.eps
    assert_("%.40g" % o != '1')


@pytest.mark.skipif(longdouble_longer_than_double,
                    reason="array repr problem")
@pytest.mark.skipif(string_to_longdouble_inaccurate,
                    reason="Need strtold_l")
def test_array_repr():
    o = 1 + LD_INFO.eps
    a = np.array([o])
    b = np.array([1], dtype=np.longdouble)
    if not np.all(a != b):
        raise ValueError("precision loss creating arrays")
    assert_(repr(a) != repr(b))

#
# Locale tests: scalar types formatting should be independent of the locale
#

class TestCommaDecimalPointLocale(CommaDecimalPointLocale):

    def test_repr_roundtrip_foreign(self):
        o = 1.5
        assert_equal(o, np.longdouble(repr(o)))

    def test_fromstring_foreign_repr(self):
        f = 1.234
        a = np.fromstring(repr(f), dtype=float, sep=" ")
        assert_equal(a[0], f)

    def test_fromstring_best_effort_float(self):
        with assert_warns(DeprecationWarning):
            assert_equal(np.fromstring("1,234", dtype=float, sep=" "),
                         np.array([1.]))

    def test_fromstring_best_effort(self):
        with assert_warns(DeprecationWarning):
            assert_equal(np.fromstring("1,234", dtype=np.longdouble, sep=" "),
                         np.array([1.]))

    def test_fromstring_foreign(self):
        s = "1.234"
        a = np.fromstring(s, dtype=np.longdouble, sep=" ")
        assert_equal(a[0], np.longdouble(s))

    def test_fromstring_foreign_sep(self):
        a = np.array([1, 2, 3, 4])
        b = np.fromstring("1,2,3,4,", dtype=np.longdouble, sep=",")
        assert_array_equal(a, b)

    def test_fromstring_foreign_value(self):
        with assert_warns(DeprecationWarning):
            b = np.fromstring("1,234", dtype=np.longdouble, sep=" ")
            assert_array_equal(b[0], 1)


@pytest.mark.parametrize("int_val", [
    # cases discussed in gh-10723
    # and gh-9968
    2 ** 1024, 0])
def test_longdouble_from_int(int_val):
    # for issue gh-9968
    str_val = str(int_val)
    # we'll expect a RuntimeWarning on platforms
    # with np.longdouble equivalent to np.double
    # for large integer input
    with warnings.catch_warnings(record=True) as w:
        warnings.filterwarnings('always', '', RuntimeWarning)
        # can be inf==inf on some platforms
        assert np.longdouble(int_val) == np.longdouble(str_val)
        # we can't directly compare the int and
        # max longdouble value on all platforms
        if np.allclose(np.finfo(np.longdouble).max,
                       np.finfo(np.double).max) and w:
            assert w[0].category is RuntimeWarning

@pytest.mark.parametrize("bool_val", [
    True, False])
def test_longdouble_from_bool(bool_val):
    assert np.longdouble(bool_val) == np.longdouble(int(bool_val))
