peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/pandas
/tests
/indexing
/test_indexers.py
# Tests aimed at pandas.core.indexers | |
import numpy as np | |
import pytest | |
from pandas.core.indexers import ( | |
is_scalar_indexer, | |
length_of_indexer, | |
validate_indices, | |
) | |
def test_length_of_indexer(): | |
arr = np.zeros(4, dtype=bool) | |
arr[0] = 1 | |
result = length_of_indexer(arr) | |
assert result == 1 | |
def test_is_scalar_indexer(): | |
indexer = (0, 1) | |
assert is_scalar_indexer(indexer, 2) | |
assert not is_scalar_indexer(indexer[0], 2) | |
indexer = (np.array([2]), 1) | |
assert not is_scalar_indexer(indexer, 2) | |
indexer = (np.array([2]), np.array([3])) | |
assert not is_scalar_indexer(indexer, 2) | |
indexer = (np.array([2]), np.array([3, 4])) | |
assert not is_scalar_indexer(indexer, 2) | |
assert not is_scalar_indexer(slice(None), 1) | |
indexer = 0 | |
assert is_scalar_indexer(indexer, 1) | |
indexer = (0,) | |
assert is_scalar_indexer(indexer, 1) | |
class TestValidateIndices: | |
def test_validate_indices_ok(self): | |
indices = np.asarray([0, 1]) | |
validate_indices(indices, 2) | |
validate_indices(indices[:0], 0) | |
validate_indices(np.array([-1, -1]), 0) | |
def test_validate_indices_low(self): | |
indices = np.asarray([0, -2]) | |
with pytest.raises(ValueError, match="'indices' contains"): | |
validate_indices(indices, 2) | |
def test_validate_indices_high(self): | |
indices = np.asarray([0, 1, 2]) | |
with pytest.raises(IndexError, match="indices are out"): | |
validate_indices(indices, 2) | |
def test_validate_indices_empty(self): | |
with pytest.raises(IndexError, match="indices are out"): | |
validate_indices(np.array([0, 1]), 0) | |