






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 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




 '''simple docstring'''







 __lowercase             =  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}}"""					)
 __lowercase             =  DatasetInfosDict.from_directory(lowerCamelCase					)
 assert dataset_infos
 assert dataset_infos["default"].dataset_size == 42





@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=42				,  ),
    ]				,  )
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




 '''simple docstring'''







 __lowercase             =  str(lowerCamelCase					)
 dataset_info.write_to_directory(lowerCamelCase					)
 __lowercase             =  DatasetInfo.from_directory(lowerCamelCase					)
 assert dataset_info == reloaded
 assert os.path.exists(os.path.join(lowerCamelCase				,  """dataset_info.json"""					)					)





def 				snake_case  (     ):




 '''simple docstring'''







 __lowercase             =  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""": 42}]				,  download_checksums={}				,  download_size=1_337				,  post_processing_size=442				,  dataset_size=1_234				,  size_in_bytes=1_337 + 442 + 1_234				,  )
 __lowercase             =  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)					)
 __lowercase             =  yaml.safe_dump(lowerCamelCase					)
 __lowercase             =  yaml.safe_load(lowerCamelCase					)
 assert dataset_info_yaml_dict == reloaded





def 				snake_case  (     ):




 '''simple docstring'''







 __lowercase             =  DatasetInfo()
 __lowercase             =  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=42				,  )
            }					),
        DatasetInfosDict(
            {
                """v1""": DatasetInfo(dataset_size=42					),
                """v2""": DatasetInfo(dataset_size=1_337					),
            }					),
    ]				,  )
def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




 '''simple docstring'''







 __lowercase             =  str(lowerCamelCase					)
 dataset_infos_dict.write_to_directory(lowerCamelCase					)
 __lowercase             =  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():
  __lowercase             =  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
  __lowercase             =  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"""					)					)









def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  """"""
	for ch in key:
		if ch == " " or ch not in key_no_dups and ch.isalpha():
			key_no_dups += ch
	return key_no_dups





def 				snake_case  (     lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  [chr(i + 65					) for i in range(26					)]
	# Remove duplicate characters from key
	__lowercase             =  remove_duplicates(key.upper()					)
	__lowercase             =  len(lowerCamelCase					)
	# First fill cipher with key characters
	__lowercase             =  {alphabet[i]: char for i, char in enumerate(lowerCamelCase					)}
	# Then map remaining characters in alphabet to
	# the alphabet from the beginning
	for i in range(len(lowerCamelCase					)				,  26					):
		__lowercase             =  alphabet[i - offset]
		# Ensure we are not mapping letters to letters previously mapped
		while char in key:
			offset -= 1
			__lowercase             =  alphabet[i - offset]
		__lowercase             =  char
	return cipher_alphabet





def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	return "".join(cipher_map.get(lowerCamelCase				,  lowerCamelCase					) for ch in message.upper()					)





def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  {v: k for k, v in cipher_map.items()}
	return "".join(rev_cipher_map.get(lowerCamelCase				,  lowerCamelCase					) for ch in message.upper()					)





def 				snake_case  (     ):




	'''simple docstring'''







	__lowercase             =  input("""Enter message to encode or decode: """					).strip()
	__lowercase             =  input("""Enter keyword: """					).strip()
	__lowercase             =  input("""Encipher or decipher? E/D:"""					).strip()[0].lower()
	try:
		__lowercase             =  {"""e""": encipher, """d""": decipher}[option]
	except KeyError:
		raise KeyError("""invalid input option"""					)
	__lowercase             =  create_cipher_map(lowerCamelCase					)
	print(func(lowerCamelCase				,  lowerCamelCase					)					)


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()

