





'''simple docstring'''


from collections import namedtuple

_lowerCamelCase					:						Dict					     =							namedtuple('from_to', 'from_ to')

_lowerCamelCase					:						List[str]					     =							{
    'millimeter': 'mm',
    'centimeter': 'cm',
    'meter': 'm',
    'kilometer': 'km',
    'inch': 'in',
    'inche': 'in',  # Trailing 's' has been stripped off
    'feet': 'ft',
    'foot': 'ft',
    'yard': 'yd',
    'mile': 'mi',
}

_lowerCamelCase					:						List[str]					     =							{
    'mm': from_to(0.0_0_1, 1000),
    'cm': from_to(0.0_1, 100),
    'm': from_to(1, 1),
    'km': from_to(1000, 0.0_0_1),
    'in': from_to(0.0_2_5_4, 3_9.3_7_0_1),
    'ft': from_to(0.3_0_4_8, 3.2_8_0_8_4),
    'yd': from_to(0.9_1_4_4, 1.0_9_3_6_1),
    'mi': from_to(1_6_0_9.3_4, 0.0_0_0_6_2_1_3_7_1),
}




def  __a			(  UpperCAmelCase							,      UpperCAmelCase							,      UpperCAmelCase     )   ->float:



	"""simple docstring"""







	A					=   from_type.lower().rstrip("""s"""     )
	A					=   TYPE_CONVERSION.get(UpperCAmelCase							,      UpperCAmelCase     )
	A					=   to_type.lower().rstrip("""s"""     )
	A					=   TYPE_CONVERSION.get(UpperCAmelCase							,      UpperCAmelCase     )
	if new_from not in METRIC_CONVERSION:
		A					=   (
		    f"""Invalid 'from_type' value: {from_type!r}.\n"""
		    f"""Conversion abbreviations are: {", ".join(UpperCAmelCase     )}"""
		)
		raise ValueError(UpperCAmelCase     )
	if new_to not in METRIC_CONVERSION:
		A					=   (
		    f"""Invalid 'to_type' value: {to_type!r}.\n"""
		    f"""Conversion abbreviations are: {", ".join(UpperCAmelCase     )}"""
		)
		raise ValueError(UpperCAmelCase     )
	return value * METRIC_CONVERSION[new_from].from_ * METRIC_CONVERSION[new_to].to


if __name__ == "__main__":
				import doctest

				doctest.testmod()








'''simple docstring'''


import sys

from transformers import AutoTokenizer


_lowerCamelCase					:						Any					     =							sys.argv[1]
_lowerCamelCase					:						Union[str, Any]					     =							sys.argv[2]
_lowerCamelCase					:						Optional[Any]					     =							int(sys.argv[3])

_lowerCamelCase					:						Union[str, Any]					     =							0

_lowerCamelCase					:						Tuple					     =							AutoTokenizer.from_pretrained(model_name_or_path)
max_len -= tokenizer.num_special_tokens_to_add()

with open(dataset, 'rt') as f_p:
				for line in f_p:
								_lowerCamelCase					:						Optional[int]					     =							line.rstrip()

								if not line:
												print(line)
												_lowerCamelCase					:						Optional[int]					     =							0
												continue

								_lowerCamelCase					:						int					     =							line.split()[0]

								_lowerCamelCase					:						Union[str, Any]					     =							len(tokenizer.tokenize(token))

								# Token contains strange control characters like \x96 or \x95
								# Just filter out the complete line
								if current_subwords_len == 0:
												continue

								if (subword_len_counter + current_subwords_len) > max_len:
												print('')
												print(line)
												_lowerCamelCase					:						Optional[int]					     =							current_subwords_len
												continue

								subword_len_counter += current_subwords_len

								print(line)

