import collections
from functools import partial
import string

import numpy as np
import pytest

import pandas as pd
from pandas import Series, Timestamp
from pandas.core import common as com, ops


def test_get_callable_name():
    getname = com.get_callable_name

    def fn(x):
        return x

    lambda_ = lambda x: x  # noqa: E731
    part1 = partial(fn)
    part2 = partial(part1)

    class somecall:
        def __call__(self):
            return x  # noqa

    assert getname(fn) == "fn"
    assert getname(lambda_)
    assert getname(part1) == "fn"
    assert getname(part2) == "fn"
    assert getname(somecall()) == "somecall"
    assert getname(1) is None


def test_any_none():
    assert com._any_none(1, 2, 3, None)
    assert not com._any_none(1, 2, 3, 4)


def test_all_not_none():
    assert com._all_not_none(1, 2, 3, 4)
    assert not com._all_not_none(1, 2, 3, None)
    assert not com._all_not_none(None, None, None, None)


def test_random_state():
    import numpy.random as npr

    # Check with seed
    state = com.random_state(5)
    assert state.uniform() == npr.RandomState(5).uniform()

    # Check with random state object
    state2 = npr.RandomState(10)
    assert com.random_state(state2).uniform() == npr.RandomState(10).uniform()

    # check with no arg random state
    assert com.random_state() is np.random

    # Error for floats or strings
    with pytest.raises(ValueError):
        com.random_state("test")

    with pytest.raises(ValueError):
        com.random_state(5.5)


@pytest.mark.parametrize(
    "left, right, expected",
    [
        (Series([1], name="x"), Series([2], name="x"), "x"),
        (Series([1], name="x"), Series([2], name="y"), None),
        (Series([1]), Series([2], name="x"), None),
        (Series([1], name="x"), Series([2]), None),
        (Series([1], name="x"), [2], "x"),
        ([1], Series([2], name="y"), "y"),
    ],
)
def test_maybe_match_name(left, right, expected):
    assert ops._maybe_match_name(left, right) == expected


def test_dict_compat():
    data_datetime64 = {np.datetime64("1990-03-15"): 1, np.datetime64("2015-03-15"): 2}
    data_unchanged = {1: 2, 3: 4, 5: 6}
    expected = {Timestamp("1990-3-15"): 1, Timestamp("2015-03-15"): 2}
    assert com.dict_compat(data_datetime64) == expected
    assert com.dict_compat(expected) == expected
    assert com.dict_compat(data_unchanged) == data_unchanged


def test_standardize_mapping():
    # No uninitialized defaultdicts
    with pytest.raises(TypeError):
        com.standardize_mapping(collections.defaultdict)

    # No non-mapping subtypes, instance
    with pytest.raises(TypeError):
        com.standardize_mapping([])

    # No non-mapping subtypes, class
    with pytest.raises(TypeError):
        com.standardize_mapping(list)

    fill = {"bad": "data"}
    assert com.standardize_mapping(fill) == dict

    # Convert instance to type
    assert com.standardize_mapping({}) == dict

    dd = collections.defaultdict(list)
    assert isinstance(com.standardize_mapping(dd), partial)


def test_git_version():
    # GH 21295
    git_version = pd.__git_version__
    assert len(git_version) == 40
    assert all(c in string.hexdigits for c in git_version)