FM / base

/usr/local/lib64/python3.6/site-packages/pandas/tests/extension/base/

/usr/local/lib64/python3.6/site-packages/pandas/tests/extension/base

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
base.py	742	0644	edit dl rm
casting.py	1863	0644	edit dl rm
constructors.py	4686	0644	edit dl rm
dtype.py	4310	0644	edit dl rm
getitem.py	13100	0644	edit dl rm
groupby.py	3433	0644	edit dl rm
interface.py	2982	0644	edit dl rm
io.py	602	0644	edit dl rm
methods.py	18232	0644	edit dl rm
missing.py	4515	0644	edit dl rm
ops.py	6424	0644	edit dl rm
printing.py	1167	0644	edit dl rm
reduce.py	1906	0644	edit dl rm
reshaping.py	12771	0644	edit dl rm
setitem.py	11422	0644	edit dl rm
__init__.py	2162	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/pandas/tests/extension/base/printing.py (1167B)

import io

import pytest

import pandas as pd

from .base import BaseExtensionTests

class BasePrintingTests(BaseExtensionTests):
    """Tests checking the formatting of your EA when printed."""

@pytest.mark.parametrize("size", ["big", "small"])
    def test_array_repr(self, data, size):
        if size == "small":
            data = data[:5]
        else:
            data = type(data)._concat_same_type([data] * 5)

result = repr(data)
        assert type(data).__name__ in result
        assert f"Length: {len(data)}" in result
        assert str(data.dtype) in result
        if size == "big":
            assert "..." in result

def test_array_repr_unicode(self, data):
        result = str(data)
        assert isinstance(result, str)

def test_series_repr(self, data):
        ser = pd.Series(data)
        assert data.dtype.name in repr(ser)

def test_dataframe_repr(self, data):
        df = pd.DataFrame({"A": data})
        repr(df)

def test_dtype_name_in_info(self, data):
        buf = io.StringIO()
        pd.DataFrame({"A": data}).info(buf=buf)
        result = buf.getvalue()
        assert data.dtype.name in result

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