

import os
import textwrap

import pyarrow as pa
import pytest

from datasets import ClassLabel, Features, Image
from datasets.packaged_modules.csv.csv import Csv

from ..utils import require_pil





@pytest.fixture
def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






							snake_case_							=    tmp_path / 'file.csv'
							snake_case_							=    textwrap.dedent(
							    '\\n        header1,header2\n        1,2\n        10,20\n        '      )
							with open(UpperCamelCase__   ,							'w'      ) as f:
														f.write(UpperCamelCase__      )
							return str(UpperCamelCase__      )





@pytest.fixture
def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






							snake_case_							=    tmp_path / 'malformed_file.csv'
							snake_case_							=    textwrap.dedent(
							    '\\n        header1,header2\n        1,2\n        10,20,\n        '      )
							with open(UpperCamelCase__   ,							'w'      ) as f:
														f.write(UpperCamelCase__      )
							return str(UpperCamelCase__      )





@pytest.fixture
def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






							snake_case_							=    tmp_path / 'csv_with_image.csv'
							snake_case_							=    textwrap.dedent(
							    F'''\
        image
        {image_file}
        '''      )
							with open(UpperCamelCase__   ,							'w'      ) as f:
														f.write(UpperCamelCase__      )
							return str(UpperCamelCase__      )





@pytest.fixture
def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






							snake_case_							=    tmp_path / 'csv_with_label.csv'
							snake_case_							=    textwrap.dedent(
							    '\\n        label\n        good\n        bad\n        good\n        '      )
							with open(UpperCamelCase__   ,							'w'      ) as f:
														f.write(UpperCamelCase__      )
							return str(UpperCamelCase__      )





@pytest.fixture
def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






							snake_case_							=    tmp_path / 'csv_with_int_list.csv'
							snake_case_							=    textwrap.dedent(
							    '\\n        int_list\n        1 2 3\n        4 5 6\n        7 8 9\n        '      )
							with open(UpperCamelCase__   ,							'w'      ) as f:
														f.write(UpperCamelCase__      )
							return str(UpperCamelCase__      )





def 					__lowerCamelCase	( UpperCamelCase__   ,							UpperCamelCase__   ,							UpperCamelCase__      ):







							'''simple docstring'''






							snake_case_							=    Csv()
							snake_case_							=    csv._generate_tables([[csv_file, malformed_csv_file]]      )
							with pytest.raises(UpperCamelCase__   ,							match='Error tokenizing data'      ):
														for _ in generator:
																					pass
							assert any(
							    record.levelname == 'ERROR'
							    and 'Failed to read file' in record.message
							    and os.path.basename(UpperCamelCase__      ) in record.message
							    for record in caplog.records      )





@require_pil
def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






							with open(UpperCamelCase__   ,							encoding='utf-8'      ) as f:
														snake_case_							=    f.read().splitlines()[1]
							snake_case_							=    Csv(encoding='utf-8'   ,							features=Features({'image': Image()}      )      )
							snake_case_							=    csv._generate_tables([[csv_file_with_image]]      )
							snake_case_							=    pa.concat_tables([table for _, table in generator]      )
							assert pa_table.schema.field('image'      ).type == Image()()
							snake_case_							=    pa_table.to_pydict()['image']
							assert generated_content == [{"path": image_file, "bytes": None}]





def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






							with open(UpperCamelCase__   ,							encoding='utf-8'      ) as f:
														snake_case_							=    f.read().splitlines()[1:]
							snake_case_							=    Csv(encoding='utf-8'   ,							features=Features({'label': ClassLabel(names=['good', 'bad']      )}      )      )
							snake_case_							=    csv._generate_tables([[csv_file_with_label]]      )
							snake_case_							=    pa.concat_tables([table for _, table in generator]      )
							assert pa_table.schema.field('label'      ).type == ClassLabel(names=['good', 'bad']      )()
							snake_case_							=    pa_table.to_pydict()['label']
							assert generated_content == [ClassLabel(names=['good', 'bad']      ).straint(UpperCamelCase__      ) for label in labels]





def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






							snake_case_							=    Csv(encoding='utf-8'   ,							sep=','   ,							converters={'int_list': lambda UpperCamelCase__      : [int(UpperCamelCase__      ) for i in x.split()]}      )
							snake_case_							=    csv._generate_tables([[csv_file_with_int_list]]      )
							snake_case_							=    pa.concat_tables([table for _, table in generator]      )
							assert pa.types.is_list(pa_table.schema.field('int_list'      ).type      )
							snake_case_							=    pa_table.to_pydict()['int_list']
							assert generated_content == [[1, 2, 3], [4, 5, 6], [7, 8, 9]]







from __future__ import annotations

import collections
import pprint
from pathlib import Path





def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






							return "".join(sorted(UpperCamelCase__      )      )





def 					__lowerCamelCase	( UpperCamelCase__      ):







							'''simple docstring'''






							return word_by_signature[signature(UpperCamelCase__      )]


_UpperCAmelCase		:   str										=       Path(__file__).parent.joinpath("""words.txt""").read_text(encoding="""utf-8""")
_UpperCAmelCase		:   Dict										=       sorted({word.strip().lower() for word in data.splitlines()})

_UpperCAmelCase		:   List[str]										=       collections.defaultdict(list)
for word in word_list:
					word_by_signature[signature(word)].append(word)

if __name__ == "__main__":
					_UpperCAmelCase		:   Dict										=       {word: anagram(word) for word in word_list if len(anagram(word)) > 1}

					with open("""anagrams.txt""", """w""") as file:
										file.write("""all_anagrams = \n """)
										file.write(pprint.pformat(all_anagrams))




