
"""simple docstring"""
import unittest

from .lib import (
    Matrix,
    Vector,
    axpy,
    square_zero_matrix,
    unit_basis_vector,
    zero_vector,
)
class 			UpperCamelCase      (							unittest.TestCase  ):
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[str]							    = Vector([1, 2, 3]				)
       self.assertEqual(x.component(0				)  ,     1				)
       self.assertEqual(x.component(2				)  ,     3				)
       _SCREAMING_SNAKE_CASE   :				List[str]							    = Vector()
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				int							    = Vector([0, 0, 0, 0, 0, 1]				)
       self.assertEqual(str(snake_case__				)  ,     "(0,0,0,0,0,1)"				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[Any]							    = Vector([1, 2, 3, 4]				)
       self.assertEqual(len(snake_case__				)  ,     4				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				str							    = Vector([1, 2]				)
       _SCREAMING_SNAKE_CASE   :				List[Any]							    = Vector([1, 2, 3, 4, 5]				)
       _SCREAMING_SNAKE_CASE   :				List[str]							    = Vector([0, 0, 0, 0, 0, 0, 0, 0, 0, 0]				)
       _SCREAMING_SNAKE_CASE   :				Dict							    = Vector([1, -1, 1, -1, 2, -3, 4, -5]				)
       self.assertAlmostEqual(x.euclidean_length()  ,     2.236  ,     3				)
       self.assertAlmostEqual(y.euclidean_length()  ,     7.416  ,     3				)
       self.assertEqual(z.euclidean_length()  ,     0				)
       self.assertAlmostEqual(w.euclidean_length()  ,     7.616  ,     3				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = Vector([1, 2, 3]				)
       _SCREAMING_SNAKE_CASE   :				str							    = Vector([1, 1, 1]				)
       self.assertEqual((x + y).component(0				)  ,     2				)
       self.assertEqual((x + y).component(1				)  ,     3				)
       self.assertEqual((x + y).component(2				)  ,     4				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Any							    = Vector([1, 2, 3]				)
       _SCREAMING_SNAKE_CASE   :				int							    = Vector([1, 1, 1]				)
       self.assertEqual((x - y).component(0				)  ,     0				)
       self.assertEqual((x - y).component(1				)  ,     1				)
       self.assertEqual((x - y).component(2				)  ,     2				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[str]							    = Vector([1, 2, 3]				)
       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = Vector([2, -1, 4]				)  # for test of dot product
       _SCREAMING_SNAKE_CASE   :				Dict							    = Vector([1, -2, -1]				)
       self.assertEqual(str(x * 3.0				)  ,     "(3.0,6.0,9.0)"				)
       self.assertEqual((a * b)  ,     0				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       self.assertEqual(str(zero_vector(10				)				).count("0"				)  ,     10				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       self.assertEqual(str(unit_basis_vector(3  ,     1				)				)  ,     "(0,1,0)"				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Dict							    = Vector([1, 2, 3]				)
       _SCREAMING_SNAKE_CASE   :				Tuple							    = Vector([1, 0, 1]				)
       self.assertEqual(str(axpy(2  ,     snake_case__  ,     snake_case__				)				)  ,     "(3,4,7)"				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Any							    = Vector([1, 0, 0, 0, 0, 0]				)
       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = x.copy()
       self.assertEqual(str(snake_case__				)  ,     str(snake_case__				)				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Tuple							    = Vector([1, 0, 0]				)
       x.change_component(0  ,     0				)
       x.change_component(1  ,     1				)
       self.assertEqual(str(snake_case__				)  ,     "(0,1,0)"				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Optional[int]							    = Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]  ,     3  ,     3				)
       self.assertEqual("|1,2,3|\n|2,4,5|\n|6,7,8|\n"  ,     str(snake_case__				)				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Tuple							    = Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]  ,     3  ,     3				)
       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = [[-3, -14, -10], [-5, -10, -5], [-2, -1, 0]]
       for x in range(a.height()				):
         for y in range(a.width()				):
           self.assertEqual(minors[x][y]  ,     a.minor(snake_case__  ,     snake_case__				)				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Union[str, Any]							    = Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]  ,     3  ,     3				)
       _SCREAMING_SNAKE_CASE   :				str							    = [[-3, 14, -10], [5, -10, 5], [-2, 1, 0]]
       for x in range(a.height()				):
         for y in range(a.width()				):
           self.assertEqual(cofactors[x][y]  ,     a.cofactor(snake_case__  ,     snake_case__				)				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				List[str]							    = Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]  ,     3  ,     3				)
       self.assertEqual(-5  ,     a.determinant()				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Tuple							    = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]  ,     3  ,     3				)
       _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = Vector([1, 2, 3]				)
       self.assertEqual("(14,32,50)"  ,     str(a * x				)				)
       self.assertEqual("|2,4,6|\n|8,10,12|\n|14,16,18|\n"  ,     str(a * 2				)				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Dict							    = Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]  ,     3  ,     3				)
       a.change_component(0  ,     2  ,     5				)
       self.assertEqual("|1,2,5|\n|2,4,5|\n|6,7,8|\n"  ,     str(snake_case__				)				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				str							    = Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]  ,     3  ,     3				)
       self.assertEqual(7  ,     a.component(2  ,     1				)  ,     0.01				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				Dict							    = Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]  ,     3  ,     3				)
       _SCREAMING_SNAKE_CASE   :				Any							    = Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 10]]  ,     3  ,     3				)
       self.assertEqual("|2,4,10|\n|4,8,10|\n|12,14,18|\n"  ,     str(a + b				)				)
     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       _SCREAMING_SNAKE_CASE   :				str							    = Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]  ,     3  ,     3				)
       _SCREAMING_SNAKE_CASE   :				str							    = Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 10]]  ,     3  ,     3				)
       self.assertEqual("|0,0,-4|\n|0,0,0|\n|0,0,-2|\n"  ,     str(a - b				)				)




     def 				__SCREAMING_SNAKE_CASE							(     self				):




       """simple docstring"""


       self.assertEqual(
           "|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n"  ,     str(square_zero_matrix(5				)				)  ,     )


if __name__ == "__main__":
      unittest.main()





"""simple docstring"""
import os

import pytest
import yaml

from datasets.features.features import Features, Value
from datasets.info import DatasetInfo, DatasetInfosDict





@pytest.mark.parametrize(
    "files",						[
        ["full:README.md", "dataset_infos.json"],
        ["empty:README.md", "dataset_infos.json"],
        ["dataset_infos.json"],
        ["full:README.md"],
    ],						)
def    _lowerCAmelCase    (     lowerCamelCase__							:							str,						lowerCamelCase__							:							str				)  ->    Optional[int]:
  _SCREAMING_SNAKE_CASE   :				Optional[int]							    = tmp_path_factory.mktemp("dset_infos_dir"				)
  if "full:README.md" in files:
    with open(dataset_infos_dir / "README.md",						"w"				) as f:
      f.write("---\ndataset_info:\n  dataset_size: 42\n---"				)
  if "empty:README.md" in files:
    with open(dataset_infos_dir / "README.md",						"w"				) as f:
      f.write(""				)
    # we want to support dataset_infos.json for backward compatibility
  if "dataset_infos.json" in files:
    with open(dataset_infos_dir / "dataset_infos.json",						"w"				) as f:
      f.write("{\"default\": {\"dataset_size\": 42}}"				)
  _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = DatasetInfosDict.from_directory(lowerCamelCase__				)
  assert dataset_infos
  assert dataset_infos["default"].dataset_size == 4_2





@pytest.mark.parametrize(
    "dataset_info",						[
        DatasetInfo(),
        DatasetInfo(
            description="foo",						features=Features({"a": Value("int32"				)}				),						builder_name="builder",						config_name="config",						version="1.0.0",						splits=[{"name": "train"}],						download_size=4_2,						),
    ],						)
def    _lowerCAmelCase    (     lowerCamelCase__							:							Union[str, Any],						lowerCamelCase__							:							DatasetInfo				)  ->    List[Any]:
  _SCREAMING_SNAKE_CASE   :				Dict							    = str(lowerCamelCase__				)
  dataset_info.write_to_directory(lowerCamelCase__				)
  _SCREAMING_SNAKE_CASE   :				int							    = DatasetInfo.from_directory(lowerCamelCase__				)
  assert dataset_info == reloaded
  assert os.path.exists(os.path.join(lowerCamelCase__,						"dataset_info.json"				)				)





def    _lowerCAmelCase    (     )  ->    Union[str, Any]:
  _SCREAMING_SNAKE_CASE   :				str							    = DatasetInfo(
      description="foo",						citation="bar",						homepage="https://foo.bar",						license="CC0",						features=Features({"a": Value("int32"				)}				),						post_processed={},						supervised_keys=(),						task_templates=[],						builder_name="builder",						config_name="config",						version="1.0.0",						splits=[{"name": "train", "num_examples": 4_2}],						download_checksums={},						download_size=1_3_3_7,						post_processing_size=4_4_2,						dataset_size=1_2_3_4,						size_in_bytes=1_3_3_7 + 4_4_2 + 1_2_3_4,						)
  _SCREAMING_SNAKE_CASE   :				List[str]							    = dataset_info._to_yaml_dict()
  assert sorted(lowerCamelCase__				) == sorted(DatasetInfo._INCLUDED_INFO_IN_YAML				)
  for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
    assert key in dataset_info_yaml_dict
    assert isinstance(dataset_info_yaml_dict[key],						(list, dict, int, str)				)
  _SCREAMING_SNAKE_CASE   :				Optional[Any]							    = yaml.safe_dump(lowerCamelCase__				)
  _SCREAMING_SNAKE_CASE   :				List[Any]							    = yaml.safe_load(lowerCamelCase__				)
  assert dataset_info_yaml_dict == reloaded





def    _lowerCAmelCase    (     )  ->    Tuple:
  _SCREAMING_SNAKE_CASE   :				Dict							    = DatasetInfo()
  _SCREAMING_SNAKE_CASE   :				List[Any]							    = dataset_info._to_yaml_dict()
  assert dataset_info_yaml_dict == {}





@pytest.mark.parametrize(
    "dataset_infos_dict",						[
        DatasetInfosDict(),
        DatasetInfosDict({"default": DatasetInfo()}				),
        DatasetInfosDict({"my_config_name": DatasetInfo()}				),
        DatasetInfosDict(
            {
                "default": DatasetInfo(
                    description="foo",						features=Features({"a": Value("int32"				)}				),						builder_name="builder",						config_name="config",						version="1.0.0",						splits=[{"name": "train"}],						download_size=4_2,						)
            }				),
        DatasetInfosDict(
            {
                "v1": DatasetInfo(dataset_size=4_2				),
                "v2": DatasetInfo(dataset_size=1_3_3_7				),
            }				),
    ],						)
def    _lowerCAmelCase    (     lowerCamelCase__							:							Any,						lowerCamelCase__							:							DatasetInfosDict				)  ->    Optional[int]:
  _SCREAMING_SNAKE_CASE   :				str							    = str(lowerCamelCase__				)
  dataset_infos_dict.write_to_directory(lowerCamelCase__				)
  _SCREAMING_SNAKE_CASE   :				str							    = DatasetInfosDict.from_directory(lowerCamelCase__				)

  # the config_name of the dataset_infos_dict take over the attribute
  for config_name, dataset_info in dataset_infos_dict.items():
    _SCREAMING_SNAKE_CASE   :				List[Any]							    = config_name
    # the yaml representation doesn't include fields like description or citation
    # so we just test that we can recover what we can from the yaml
    _SCREAMING_SNAKE_CASE   :				Dict							    = DatasetInfo._from_yaml_dict(dataset_info._to_yaml_dict()				)
  assert dataset_infos_dict == reloaded

  if dataset_infos_dict:
    assert os.path.exists(os.path.join(lowerCamelCase__,						"README.md"				)				)



