Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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260 lines
7.8 KiB
260 lines
7.8 KiB
4 years ago
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from textwrap import dedent
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import numpy as np
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from numpy.random import randint
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import pytest
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import pandas as pd
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from pandas import DataFrame, get_option, read_clipboard
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import pandas._testing as tm
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from pandas.io.clipboard import clipboard_get, clipboard_set
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def build_kwargs(sep, excel):
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kwargs = {}
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if excel != "default":
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kwargs["excel"] = excel
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if sep != "default":
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kwargs["sep"] = sep
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return kwargs
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@pytest.fixture(
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params=[
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"delims",
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"utf8",
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"utf16",
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"string",
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"long",
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"nonascii",
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"colwidth",
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"mixed",
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"float",
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"int",
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]
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)
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def df(request):
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data_type = request.param
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if data_type == "delims":
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return pd.DataFrame({"a": ['"a,\t"b|c', "d\tef´"], "b": ["hi'j", "k''lm"]})
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elif data_type == "utf8":
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return pd.DataFrame({"a": ["µasd", "Ωœ∑´"], "b": ["øπ∆˚¬", "œ∑´®"]})
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elif data_type == "utf16":
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return pd.DataFrame(
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{"a": ["\U0001f44d\U0001f44d", "\U0001f44d\U0001f44d"], "b": ["abc", "def"]}
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)
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elif data_type == "string":
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return tm.makeCustomDataframe(
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5, 3, c_idx_type="s", r_idx_type="i", c_idx_names=[None], r_idx_names=[None]
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)
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elif data_type == "long":
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max_rows = get_option("display.max_rows")
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return tm.makeCustomDataframe(
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max_rows + 1,
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3,
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data_gen_f=lambda *args: randint(2),
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c_idx_type="s",
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r_idx_type="i",
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c_idx_names=[None],
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r_idx_names=[None],
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)
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elif data_type == "nonascii":
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return pd.DataFrame({"en": "in English".split(), "es": "en español".split()})
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elif data_type == "colwidth":
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_cw = get_option("display.max_colwidth") + 1
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return tm.makeCustomDataframe(
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5,
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3,
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data_gen_f=lambda *args: "x" * _cw,
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c_idx_type="s",
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r_idx_type="i",
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c_idx_names=[None],
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r_idx_names=[None],
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)
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elif data_type == "mixed":
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return DataFrame(
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{
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"a": np.arange(1.0, 6.0) + 0.01,
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"b": np.arange(1, 6).astype(np.int64),
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"c": list("abcde"),
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}
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)
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elif data_type == "float":
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return tm.makeCustomDataframe(
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5,
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3,
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data_gen_f=lambda r, c: float(r) + 0.01,
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c_idx_type="s",
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r_idx_type="i",
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c_idx_names=[None],
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r_idx_names=[None],
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)
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elif data_type == "int":
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return tm.makeCustomDataframe(
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5,
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3,
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data_gen_f=lambda *args: randint(2),
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c_idx_type="s",
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r_idx_type="i",
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c_idx_names=[None],
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r_idx_names=[None],
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)
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else:
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raise ValueError
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@pytest.fixture
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def mock_clipboard(monkeypatch, request):
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"""Fixture mocking clipboard IO.
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This mocks pandas.io.clipboard.clipboard_get and
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pandas.io.clipboard.clipboard_set.
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This uses a local dict for storing data. The dictionary
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key used is the test ID, available with ``request.node.name``.
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This returns the local dictionary, for direct manipulation by
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tests.
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"""
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# our local clipboard for tests
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_mock_data = {}
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def _mock_set(data):
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_mock_data[request.node.name] = data
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def _mock_get():
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return _mock_data[request.node.name]
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monkeypatch.setattr("pandas.io.clipboard.clipboard_set", _mock_set)
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monkeypatch.setattr("pandas.io.clipboard.clipboard_get", _mock_get)
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yield _mock_data
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@pytest.mark.clipboard
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def test_mock_clipboard(mock_clipboard):
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import pandas.io.clipboard
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pandas.io.clipboard.clipboard_set("abc")
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assert "abc" in set(mock_clipboard.values())
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result = pandas.io.clipboard.clipboard_get()
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assert result == "abc"
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@pytest.mark.single
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@pytest.mark.clipboard
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@pytest.mark.usefixtures("mock_clipboard")
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class TestClipboard:
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def check_round_trip_frame(self, data, excel=None, sep=None, encoding=None):
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data.to_clipboard(excel=excel, sep=sep, encoding=encoding)
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result = read_clipboard(sep=sep or "\t", index_col=0, encoding=encoding)
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tm.assert_frame_equal(data, result)
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# Test that default arguments copy as tab delimited
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def test_round_trip_frame(self, df):
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self.check_round_trip_frame(df)
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# Test that explicit delimiters are respected
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@pytest.mark.parametrize("sep", ["\t", ",", "|"])
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def test_round_trip_frame_sep(self, df, sep):
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self.check_round_trip_frame(df, sep=sep)
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# Test white space separator
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def test_round_trip_frame_string(self, df):
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df.to_clipboard(excel=False, sep=None)
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result = read_clipboard()
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assert df.to_string() == result.to_string()
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assert df.shape == result.shape
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# Two character separator is not supported in to_clipboard
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# Test that multi-character separators are not silently passed
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def test_excel_sep_warning(self, df):
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with tm.assert_produces_warning():
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df.to_clipboard(excel=True, sep=r"\t")
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# Separator is ignored when excel=False and should produce a warning
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def test_copy_delim_warning(self, df):
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with tm.assert_produces_warning():
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df.to_clipboard(excel=False, sep="\t")
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# Tests that the default behavior of to_clipboard is tab
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# delimited and excel="True"
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@pytest.mark.parametrize("sep", ["\t", None, "default"])
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@pytest.mark.parametrize("excel", [True, None, "default"])
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def test_clipboard_copy_tabs_default(self, sep, excel, df, request, mock_clipboard):
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kwargs = build_kwargs(sep, excel)
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df.to_clipboard(**kwargs)
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assert mock_clipboard[request.node.name] == df.to_csv(sep="\t")
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# Tests reading of white space separated tables
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@pytest.mark.parametrize("sep", [None, "default"])
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@pytest.mark.parametrize("excel", [False])
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def test_clipboard_copy_strings(self, sep, excel, df):
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kwargs = build_kwargs(sep, excel)
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df.to_clipboard(**kwargs)
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result = read_clipboard(sep=r"\s+")
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assert result.to_string() == df.to_string()
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assert df.shape == result.shape
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def test_read_clipboard_infer_excel(self, request, mock_clipboard):
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# gh-19010: avoid warnings
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clip_kwargs = dict(engine="python")
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text = dedent(
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"""
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John James Charlie Mingus
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1 2
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4 Harry Carney
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""".strip()
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)
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mock_clipboard[request.node.name] = text
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df = pd.read_clipboard(**clip_kwargs)
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# excel data is parsed correctly
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assert df.iloc[1][1] == "Harry Carney"
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# having diff tab counts doesn't trigger it
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text = dedent(
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"""
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a\t b
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1 2
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3 4
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""".strip()
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)
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mock_clipboard[request.node.name] = text
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res = pd.read_clipboard(**clip_kwargs)
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text = dedent(
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"""
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a b
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1 2
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3 4
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""".strip()
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)
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mock_clipboard[request.node.name] = text
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exp = pd.read_clipboard(**clip_kwargs)
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tm.assert_frame_equal(res, exp)
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def test_invalid_encoding(self, df):
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# test case for testing invalid encoding
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with pytest.raises(ValueError):
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df.to_clipboard(encoding="ascii")
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with pytest.raises(NotImplementedError):
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pd.read_clipboard(encoding="ascii")
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@pytest.mark.parametrize("enc", ["UTF-8", "utf-8", "utf8"])
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def test_round_trip_valid_encodings(self, enc, df):
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self.check_round_trip_frame(df, encoding=enc)
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@pytest.mark.single
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@pytest.mark.clipboard
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@pytest.mark.parametrize("data", ["\U0001f44d...", "Ωœ∑´...", "abcd..."])
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def test_raw_roundtrip(data):
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# PR #25040 wide unicode wasn't copied correctly on PY3 on windows
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clipboard_set(data)
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assert data == clipboard_get()
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