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File Content: `test_repr.py`

import numpy as np
import pytest

import pandas as pd
from pandas.core.arrays.floating import (
    Float32Dtype,
    Float64Dtype,
)


def test_dtypes(dtype):
    # smoke tests on auto dtype construction

    np.dtype(dtype.type).kind == "f"
    assert dtype.name is not None


@pytest.mark.parametrize(
    "dtype, expected",
    [(Float32Dtype(), "Float32Dtype()"), (Float64Dtype(), "Float64Dtype()")],
)
def test_repr_dtype(dtype, expected):
    assert repr(dtype) == expected


def test_repr_array():
    result = repr(pd.array([1.0, None, 3.0]))
    expected = "<FloatingArray>\n[1.0, <NA>, 3.0]\nLength: 3, dtype: Float64"
    assert result == expected


def test_repr_array_long():
    data = pd.array([1.0, 2.0, None] * 1000)
    expected = """<FloatingArray>
[ 1.0,  2.0, <NA>,  1.0,  2.0, <NA>,  1.0,  2.0, <NA>,  1.0,
 ...
 <NA>,  1.0,  2.0, <NA>,  1.0,  2.0, <NA>,  1.0,  2.0, <NA>]
Length: 3000, dtype: Float64"""
    result = repr(data)
    assert result == expected


def test_frame_repr(data_missing):
    df = pd.DataFrame({"A": data_missing})
    result = repr(df)
    expected = "      A\n0  <NA>\n1   0.1"
    assert result == expected

Name	Size	Permission
__pycache__	---	2755
__init__.py	0 bytes	0644
conftest.py	1161 bytes	0644
test_arithmetic.py	8059 bytes	0644
test_astype.py	4047 bytes	0644
test_comparison.py	2071 bytes	0644
test_concat.py	573 bytes	0644
test_construction.py	6386 bytes	0644
test_function.py	6403 bytes	0644
test_repr.py	1157 bytes	0644
test_to_numpy.py	4987 bytes	0644

File Content: test_repr.py

File Content: `test_repr.py`