






'''simple docstring'''
import contextlib
import csv
import json
import os
import sqlitea
import tarfile
import textwrap
import zipfile

import pyarrow as pa
import pyarrow.parquet as pq
import pytest

import datasets
import datasets.config





@pytest.fixture(scope='''session'''							)
def        _a(     ):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Dict													=1_0
      SCREAMING_SNAKE_CASE__   : Union[str, Any]													=datasets.Features(
          {
              '''tokens''': datasets.Sequence(datasets.Value('''string'''							)							),
              '''labels''': datasets.Sequence(datasets.ClassLabel(names=['''negative''', '''positive''']							)							),
              '''answers''': datasets.Sequence(
                  {
                      '''text''': datasets.Value('''string'''							),
                      '''answer_start''': datasets.Value('''int32'''							),
                  }							),
              '''id''': datasets.Value('''int64'''							),
          }							)
      SCREAMING_SNAKE_CASE__   : str													=datasets.Dataset.from_dict(
          {
              '''tokens''': [['''foo'''] * 5] * n,
              '''labels''': [[1] * 5] * n,
              '''answers''': [{'''answer_start''': [9_7], '''text''': ['''1976''']}] * 1_0,
              '''id''': list(range(A__							)							),
          },		features=A__,		)
      return dataset





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Union[str, Any],		UpperCamelCase__ :  Tuple							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : str													=str(tmp_path_factory.mktemp('''data'''							) / '''file.arrow'''							)
      dataset.map(cache_file_name=A__							)
      return filename


# FILE_CONTENT + files


a_ 		=       '\\n    Text data.\n    Second line of data.'





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  List[str]							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Tuple													=tmp_path_factory.mktemp('''data'''							) / '''file.txt'''
      SCREAMING_SNAKE_CASE__   : Any													=FILE_CONTENT
      with open(A__,		'''w'''							) as f:
            f.write(A__							)
      return filename





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Optional[int]							):




      '''simple docstring'''






      import bza

      SCREAMING_SNAKE_CASE__   : Dict													=tmp_path_factory.mktemp('''data'''							) / '''file.txt.bz2'''
      SCREAMING_SNAKE_CASE__   : List[str]													=bytes(A__,		'''utf-8'''							)
      with bza.open(A__,		'''wb'''							) as f:
            f.write(A__							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Optional[Any]							):




      '''simple docstring'''






      import gzip

      SCREAMING_SNAKE_CASE__   : Optional[Any]													=str(tmp_path_factory.mktemp('''data'''							) / '''file.txt.gz'''							)
      SCREAMING_SNAKE_CASE__   : Optional[int]													=bytes(A__,		'''utf-8'''							)
      with gzip.open(A__,		'''wb'''							) as f:
            f.write(A__							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  int							):




      '''simple docstring'''






      if datasets.config.LZ4_AVAILABLE:
            import lza.frame

            SCREAMING_SNAKE_CASE__   : List[str]													=tmp_path_factory.mktemp('''data'''							) / '''file.txt.lz4'''
            SCREAMING_SNAKE_CASE__   : List[str]													=bytes(A__,		'''utf-8'''							)
            with lza.frame.open(A__,		'''wb'''							) as f:
                  f.write(A__							)
            return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  int,		UpperCamelCase__ :  Union[str, Any]							):




      '''simple docstring'''






      if datasets.config.PY7ZR_AVAILABLE:
            import pyazr

            SCREAMING_SNAKE_CASE__   : List[str]													=tmp_path_factory.mktemp('''data'''							) / '''file.txt.7z'''
            with pyazr.SevenZipFile(A__,		'''w'''							) as archive:
                  archive.write(A__,		arcname=os.path.basename(A__							)							)
            return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Optional[int],		UpperCamelCase__ :  List[str]							):




      '''simple docstring'''






      import tarfile

      SCREAMING_SNAKE_CASE__   : Union[str, Any]													=tmp_path_factory.mktemp('''data'''							) / '''file.txt.tar'''
      with tarfile.TarFile(A__,		'''w'''							) as f:
            f.add(A__,		arcname=os.path.basename(A__							)							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Union[str, Any]							):




      '''simple docstring'''






      import lzma

      SCREAMING_SNAKE_CASE__   : List[str]													=tmp_path_factory.mktemp('''data'''							) / '''file.txt.xz'''
      SCREAMING_SNAKE_CASE__   : Dict													=bytes(A__,		'''utf-8'''							)
      with lzma.open(A__,		'''wb'''							) as f:
            f.write(A__							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Dict,		UpperCamelCase__ :  Any							):




      '''simple docstring'''






      import zipfile

      SCREAMING_SNAKE_CASE__   : Dict													=tmp_path_factory.mktemp('''data'''							) / '''file.txt.zip'''
      with zipfile.ZipFile(A__,		'''w'''							) as f:
            f.write(A__,		arcname=os.path.basename(A__							)							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  int							):




      '''simple docstring'''






      if datasets.config.ZSTANDARD_AVAILABLE:
            import zstandard as zstd

            SCREAMING_SNAKE_CASE__   : Any													=tmp_path_factory.mktemp('''data'''							) / '''file.txt.zst'''
            SCREAMING_SNAKE_CASE__   : Dict													=bytes(A__,		'''utf-8'''							)
            with zstd.open(A__,		'''wb'''							) as f:
                  f.write(A__							)
            return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Optional[Any]							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : str													=tmp_path_factory.mktemp('''data'''							) / '''file.xml'''
      SCREAMING_SNAKE_CASE__   : Union[str, Any]													=textwrap.dedent(
          '''\\n    <?xml version="1.0" encoding="UTF-8" ?>\n    <tmx version="1.4">\n      <header segtype="sentence" srclang="ca" />\n      <body>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 1</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 1</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 2</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 2</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 3</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 3</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 4</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 4</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 5</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 5</seg></tuv>\n        </tu>\n      </body>\n    </tmx>'''							)
      with open(A__,		'''w'''							) as f:
            f.write(A__							)
      return filename


a_ 		=       [
    {'col_1': '0', 'col_2': 0, 'col_3': 0.0},
    {'col_1': '1', 'col_2': 1, 'col_3': 1.0},
    {'col_1': '2', 'col_2': 2, 'col_3': 2.0},
    {'col_1': '3', 'col_2': 3, 'col_3': 3.0},
]
a_ 		=       [
    {'col_1': '4', 'col_2': 4, 'col_3': 4.0},
    {'col_1': '5', 'col_2': 5, 'col_3': 5.0},
]
a_ 		=       {
    'col_1': ['0', '1', '2', '3'],
    'col_2': [0, 1, 2, 3],
    'col_3': [0.0, 1.0, 2.0, 3.0],
}

a_ 		=       [
    {'col_3': 0.0, 'col_1': '0', 'col_2': 0},
    {'col_3': 1.0, 'col_1': '1', 'col_2': 1},
]

a_ 		=       [
    {'col_1': 's0', 'col_2': 0, 'col_3': 0.0},
    {'col_1': 's1', 'col_2': 1, 'col_3': 1.0},
    {'col_1': 's2', 'col_2': 2, 'col_3': 2.0},
    {'col_1': 's3', 'col_2': 3, 'col_3': 3.0},
]





@pytest.fixture(scope='''session'''							)
def        _a(     ):




      '''simple docstring'''






      return DATA_DICT_OF_LISTS





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Dict							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : str													=datasets.Dataset.from_dict(A__							)
      SCREAMING_SNAKE_CASE__   : Union[str, Any]													=str(tmp_path_factory.mktemp('''data'''							) / '''dataset.arrow'''							)
      dataset.map(cache_file_name=A__							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  List[str]							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Optional[Any]													=str(tmp_path_factory.mktemp('''data'''							) / '''dataset.sqlite'''							)
      with contextlib.closing(sqlitea.connect(A__							)							) as con:
            SCREAMING_SNAKE_CASE__   : int													=con.cursor()
            cur.execute('''CREATE TABLE dataset(col_1 text, col_2 int, col_3 real)'''							)
            for item in DATA:
                  cur.execute('''INSERT INTO dataset(col_1, col_2, col_3) VALUES (?, ?, ?)''',		tuple(item.values()							)							)
            con.commit()
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  List[Any]							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : List[Any]													=str(tmp_path_factory.mktemp('''data'''							) / '''dataset.csv'''							)
      with open(A__,		'''w''',		newline=''''''							) as f:
            SCREAMING_SNAKE_CASE__   : int													=csv.DictWriter(A__,		fieldnames=['''col_1''', '''col_2''', '''col_3''']							)
            writer.writeheader()
            for item in DATA:
                  writer.writerow(A__							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  List[str]							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Optional[Any]													=str(tmp_path_factory.mktemp('''data'''							) / '''dataset2.csv'''							)
      with open(A__,		'''w''',		newline=''''''							) as f:
            SCREAMING_SNAKE_CASE__   : Union[str, Any]													=csv.DictWriter(A__,		fieldnames=['''col_1''', '''col_2''', '''col_3''']							)
            writer.writeheader()
            for item in DATA:
                  writer.writerow(A__							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Tuple,		UpperCamelCase__ :  Optional[Any]							):




      '''simple docstring'''






      import bza

      SCREAMING_SNAKE_CASE__   : Optional[int]													=tmp_path_factory.mktemp('''data'''							) / '''dataset.csv.bz2'''
      with open(A__,		'''rb'''							) as f:
            SCREAMING_SNAKE_CASE__   : Dict													=f.read()
      # data = bytes(FILE_CONTENT, "utf-8")
      with bza.open(A__,		'''wb'''							) as f:
            f.write(A__							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Optional[Any],		UpperCamelCase__ :  List[Any],		UpperCamelCase__ :  Optional[Any]							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Optional[Any]													=tmp_path_factory.mktemp('''data'''							) / '''dataset.csv.zip'''
      with zipfile.ZipFile(A__,		'''w'''							) as f:
            f.write(A__,		arcname=os.path.basename(A__							)							)
            f.write(A__,		arcname=os.path.basename(A__							)							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Dict,		UpperCamelCase__ :  int,		UpperCamelCase__ :  Optional[Any]							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Optional[Any]													=tmp_path_factory.mktemp('''data'''							) / '''dataset.csv.zip'''
      with zipfile.ZipFile(A__,		'''w'''							) as f:
            f.write(A__,		arcname=os.path.basename(csv_path.replace('''.csv''',		'''.CSV'''							)							)							)
            f.write(A__,		arcname=os.path.basename(csva_path.replace('''.csv''',		'''.CSV'''							)							)							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Union[str, Any],		UpperCamelCase__ :  Dict,		UpperCamelCase__ :  List[Any]							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Optional[int]													=tmp_path_factory.mktemp('''data'''							) / '''dataset_with_dir.csv.zip'''
      with zipfile.ZipFile(A__,		'''w'''							) as f:
            f.write(A__,		arcname=os.path.join('''main_dir''',		os.path.basename(A__							)							)							)
            f.write(A__,		arcname=os.path.join('''main_dir''',		os.path.basename(A__							)							)							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  int							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Union[str, Any]													=str(tmp_path_factory.mktemp('''data'''							) / '''dataset.parquet'''							)
      SCREAMING_SNAKE_CASE__   : Any													=pa.schema(
          {
              '''col_1''': pa.string(),
              '''col_2''': pa.intaa(),
              '''col_3''': pa.floataa(),
          }							)
      with open(A__,		'''wb'''							) as f:
            SCREAMING_SNAKE_CASE__   : Any													=pq.ParquetWriter(A__,		schema=A__							)
            SCREAMING_SNAKE_CASE__   : Tuple													=pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(A__							)							)] for k in DATA[0]},		schema=A__							)
            writer.write_table(A__							)
            writer.close()
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  str							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : str													=str(tmp_path_factory.mktemp('''data'''							) / '''dataset.json'''							)
      SCREAMING_SNAKE_CASE__   : Any													={'''data''': DATA}
      with open(A__,		'''w'''							) as f:
            json.dump(A__,		A__							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  List[Any]							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : List[str]													=str(tmp_path_factory.mktemp('''data'''							) / '''dataset.json'''							)
      SCREAMING_SNAKE_CASE__   : Optional[Any]													={'''data''': DATA_DICT_OF_LISTS}
      with open(A__,		'''w'''							) as f:
            json.dump(A__,		A__							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Tuple							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Any													=str(tmp_path_factory.mktemp('''data'''							) / '''dataset.jsonl'''							)
      with open(A__,		'''w'''							) as f:
            for item in DATA:
                  f.write(json.dumps(A__							) + '''\n'''							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Dict							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : List[Any]													=str(tmp_path_factory.mktemp('''data'''							) / '''dataset2.jsonl'''							)
      with open(A__,		'''w'''							) as f:
            for item in DATA:
                  f.write(json.dumps(A__							) + '''\n'''							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Optional[int]							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Dict													=str(tmp_path_factory.mktemp('''data'''							) / '''dataset_312.jsonl'''							)
      with open(A__,		'''w'''							) as f:
            for item in DATA_312:
                  f.write(json.dumps(A__							) + '''\n'''							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Any							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Union[str, Any]													=str(tmp_path_factory.mktemp('''data'''							) / '''dataset-str.jsonl'''							)
      with open(A__,		'''w'''							) as f:
            for item in DATA_STR:
                  f.write(json.dumps(A__							) + '''\n'''							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  str,		UpperCamelCase__ :  List[Any]							):




      '''simple docstring'''






      import gzip

      SCREAMING_SNAKE_CASE__   : Optional[int]													=str(tmp_path_factory.mktemp('''data'''							) / '''dataset.txt.gz'''							)
      with open(A__,		'''rb'''							) as orig_file:
            with gzip.open(A__,		'''wb'''							) as zipped_file:
                  zipped_file.writelines(A__							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Dict,		UpperCamelCase__ :  str							):




      '''simple docstring'''






      import gzip

      SCREAMING_SNAKE_CASE__   : int													=str(tmp_path_factory.mktemp('''data'''							) / '''dataset.jsonl.gz'''							)
      with open(A__,		'''rb'''							) as orig_file:
            with gzip.open(A__,		'''wb'''							) as zipped_file:
                  zipped_file.writelines(A__							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Any,		UpperCamelCase__ :  Optional[int],		UpperCamelCase__ :  Union[str, Any]							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : int													=tmp_path_factory.mktemp('''data'''							) / '''dataset.jsonl.zip'''
      with zipfile.ZipFile(A__,		'''w'''							) as f:
            f.write(A__,		arcname=os.path.basename(A__							)							)
            f.write(A__,		arcname=os.path.basename(A__							)							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  List[str],		UpperCamelCase__ :  List[Any],		UpperCamelCase__ :  int,		UpperCamelCase__ :  Tuple							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Optional[Any]													=tmp_path_factory.mktemp('''data'''							) / '''dataset_nested.jsonl.zip'''
      with zipfile.ZipFile(A__,		'''w'''							) as f:
            f.write(A__,		arcname=os.path.join('''nested''',		os.path.basename(A__							)							)							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  List[str],		UpperCamelCase__ :  Union[str, Any],		UpperCamelCase__ :  Optional[int]							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Optional[Any]													=tmp_path_factory.mktemp('''data'''							) / '''dataset_with_dir.jsonl.zip'''
      with zipfile.ZipFile(A__,		'''w'''							) as f:
            f.write(A__,		arcname=os.path.join('''main_dir''',		os.path.basename(A__							)							)							)
            f.write(A__,		arcname=os.path.join('''main_dir''',		os.path.basename(A__							)							)							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  int,		UpperCamelCase__ :  Optional[int],		UpperCamelCase__ :  Tuple							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Union[str, Any]													=tmp_path_factory.mktemp('''data'''							) / '''dataset.jsonl.tar'''
      with tarfile.TarFile(A__,		'''w'''							) as f:
            f.add(A__,		arcname=os.path.basename(A__							)							)
            f.add(A__,		arcname=os.path.basename(A__							)							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  int,		UpperCamelCase__ :  Optional[Any],		UpperCamelCase__ :  str,		UpperCamelCase__ :  Tuple							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : List[str]													=tmp_path_factory.mktemp('''data'''							) / '''dataset_nested.jsonl.tar'''
      with tarfile.TarFile(A__,		'''w'''							) as f:
            f.add(A__,		arcname=os.path.join('''nested''',		os.path.basename(A__							)							)							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Union[str, Any]							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : List[Any]													=['''0''', '''1''', '''2''', '''3''']
      SCREAMING_SNAKE_CASE__   : Optional[Any]													=str(tmp_path_factory.mktemp('''data'''							) / '''dataset.txt'''							)
      with open(A__,		'''w'''							) as f:
            for item in data:
                  f.write(item + '''\n'''							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Tuple							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Tuple													=['''0''', '''1''', '''2''', '''3''']
      SCREAMING_SNAKE_CASE__   : Optional[int]													=str(tmp_path_factory.mktemp('''data'''							) / '''dataset2.txt'''							)
      with open(A__,		'''w'''							) as f:
            for item in data:
                  f.write(item + '''\n'''							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Union[str, Any]							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : List[Any]													=['''0''', '''1''', '''2''', '''3''']
      SCREAMING_SNAKE_CASE__   : Tuple													=tmp_path_factory.mktemp('''data'''							) / '''dataset.abc'''
      with open(A__,		'''w'''							) as f:
            for item in data:
                  f.write(item + '''\n'''							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Dict,		UpperCamelCase__ :  Optional[Any],		UpperCamelCase__ :  Tuple							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : List[str]													=tmp_path_factory.mktemp('''data'''							) / '''dataset.text.zip'''
      with zipfile.ZipFile(A__,		'''w'''							) as f:
            f.write(A__,		arcname=os.path.basename(A__							)							)
            f.write(A__,		arcname=os.path.basename(A__							)							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  List[Any],		UpperCamelCase__ :  List[str],		UpperCamelCase__ :  Any							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : List[Any]													=tmp_path_factory.mktemp('''data'''							) / '''dataset_with_dir.text.zip'''
      with zipfile.ZipFile(A__,		'''w'''							) as f:
            f.write(A__,		arcname=os.path.join('''main_dir''',		os.path.basename(A__							)							)							)
            f.write(A__,		arcname=os.path.join('''main_dir''',		os.path.basename(A__							)							)							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Any,		UpperCamelCase__ :  Tuple,		UpperCamelCase__ :  List[str]							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : List[Any]													=tmp_path_factory.mktemp('''data'''							) / '''dataset.ext.zip'''
      with zipfile.ZipFile(A__,		'''w'''							) as f:
            f.write(A__,		arcname=os.path.basename('''unsupported.ext'''							)							)
            f.write(A__,		arcname=os.path.basename('''unsupported_2.ext'''							)							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Any							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Optional[Any]													='''\n'''.join(['''First''', '''Second\u2029with Unicode new line''', '''Third''']							)
      SCREAMING_SNAKE_CASE__   : int													=str(tmp_path_factory.mktemp('''data'''							) / '''dataset_with_unicode_new_lines.txt'''							)
      with open(A__,		'''w''',		encoding='''utf-8'''							) as f:
            f.write(A__							)
      return path





@pytest.fixture(scope='''session'''							)
def        _a(     ):




      '''simple docstring'''






      return os.path.join('''tests''',		'''features''',		'''data''',		'''test_image_rgb.jpg'''							)





@pytest.fixture(scope='''session'''							)
def        _a(     ):




      '''simple docstring'''






      return os.path.join('''tests''',		'''features''',		'''data''',		'''test_audio_44100.wav'''							)





@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  int,		UpperCamelCase__ :  int							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Any													=tmp_path_factory.mktemp('''data'''							) / '''dataset.img.zip'''
      with zipfile.ZipFile(A__,		'''w'''							) as f:
            f.write(A__,		arcname=os.path.basename(A__							)							)
            f.write(A__,		arcname=os.path.basename(A__							).replace('''.jpg''',		'''2.jpg'''							)							)
      return path







@pytest.fixture(scope='''session'''							)
def        _a(     UpperCamelCase__ :  Optional[Any]							):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__   : Union[str, Any]													=tmp_path_factory.mktemp('''data_dir'''							)

      (data_dir / "subdir").mkdir()
      with open(data_dir / '''subdir''' / '''train.txt''',		'''w'''							) as f:
            f.write('''foo\n''' * 1_0							)
      with open(data_dir / '''subdir''' / '''test.txt''',		'''w'''							) as f:
            f.write('''bar\n''' * 1_0							)
      # hidden file
      with open(data_dir / '''subdir''' / '''.test.txt''',		'''w'''							) as f:
            f.write('''bar\n''' * 1_0							)

      # hidden directory
      (data_dir / ".subdir").mkdir()
      with open(data_dir / '''.subdir''' / '''train.txt''',		'''w'''							) as f:
            f.write('''foo\n''' * 1_0							)
      with open(data_dir / '''.subdir''' / '''test.txt''',		'''w'''							) as f:
            f.write('''bar\n''' * 1_0							)

      return data_dir


import numpy as np
from cva import COLOR_BGR2GRAY, CV_8UC3, cvtColor, filteraD, imread, imshow, waitKey
def      a      (			A__	:   int      ,   A__	:   int      ,   A__	:   int      ,   A__	:   int      ,   A__	:   int      ,   A__	:   int     )    ->      np.ndarray:





      """simple docstring"""



      if (ksize % 2) == 0:
            _lowercase	       =ksize + 1
      _lowercase	       =np.zeros((ksize, ksize)      ,   dtype=np.floataa     )

      # each value
      for y in range(A__     ):
            for x in range(A__     ):
                  # distance from center
                  _lowercase	       =x - ksize // 2
                  _lowercase	       =y - ksize // 2

                  # degree to radiant
                  _lowercase	       =theta / 180 * np.pi
                  _lowercase	       =np.cos(_theta     )
                  _lowercase	       =np.sin(_theta     )

                  # get kernel x
                  _lowercase	       =cos_theta * px + sin_theta * py

                  # get kernel y
                  _lowercase	       =-sin_theta * px + cos_theta * py

                  # fill kernel
                  _lowercase	       =np.exp(
                      -(_x**2 + gamma**2 * _y**2) / (2 * sigma**2)     ) * np.cos(2 * np.pi * _x / lambd + psi     )

      return gabor


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  # read original image
  lowercase_									=   imread('../image_data/lena.jpg')
  # turn image in gray scale value
  lowercase_									=   cvtColor(img, COLOR_BGR2GRAY)

  # Apply multiple Kernel to detect edges
  lowercase_									=   np.zeros(gray.shape[:2])
  for theta in [0, 3_0, 6_0, 9_0, 1_2_0, 1_5_0]:
    lowercase_									=   gabor_filter_kernel(1_0, 8, theta, 1_0, 0, 0)
    out += filteraD(gray, CV_8UC3, kernel_aa)
  lowercase_									=   out / out.max() * 2_5_5
  lowercase_									=   out.astype(np.uinta)

  imshow('Original', gray)
  imshow('Gabor filter with 20x20 mask and 6 directions', out)

  waitKey(0)


