




import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from unittest.mock import Mock, patch

import diffusers.utils.hub_utils


class     __SCREAMING_SNAKE_CASE							(		unittest.TestCase  ):

					@patch('diffusers.utils.hub_utils.get_full_repo_name' )
					def      lowercase_							(    self			,	__lowercase ):







						'''simple docstring'''




						lowerCamelCase_							:		List[str]							       =							'full_repo_name'
						with TemporaryDirectory() as tmpdir:
							# Dummy args values
							lowerCamelCase_							:		Optional[Any]							       =							Mock()
							lowerCamelCase_							:		List[str]							       =							tmpdir
							lowerCamelCase_							:		Dict							       =							0
							lowerCamelCase_							:		int							       =							'hub_token'
							lowerCamelCase_							:		List[str]							       =							'dataset_name'
							lowerCamelCase_							:		Tuple							       =							0.01
							lowerCamelCase_							:		int							       =							100_000
							lowerCamelCase_							:		Any							       =							10_000
							lowerCamelCase_							:		Tuple							       =							0.01
							lowerCamelCase_							:		Union[str, Any]							       =							0.02
							lowerCamelCase_							:		Tuple							       =							0.03
							lowerCamelCase_							:		int							       =							0.00_05
							lowerCamelCase_							:		List[str]							       =							0.00_00_01
							lowerCamelCase_							:		Tuple							       =							1
							lowerCamelCase_							:		List[Any]							       =							10
							lowerCamelCase_							:		Dict							       =							0.0_01
							lowerCamelCase_							:		Optional[Any]							       =							0.1
							lowerCamelCase_							:		List[Any]							       =							0.2
							lowerCamelCase_							:		Union[str, Any]							       =							True

							# Model card mush be rendered and saved
							diffusers.utils.hub_utils.create_model_card(__lowercase			,	model_name='model_name' )
							self.assertTrue((Path(__lowercase ) / 'README.md').is_file() )






import sys

from transformers import AutoTokenizer


UpperCamelCase__		=						sys.argv[1]
UpperCamelCase__		=						sys.argv[2]
UpperCamelCase__		=						int(sys.argv[3])

UpperCamelCase__		=						0

UpperCamelCase__		=						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:
														UpperCamelCase__		=						line.rstrip()

														if not line:
																					print(line)
																					UpperCamelCase__		=						0
																					continue

														UpperCamelCase__		=						line.split()[0]

														UpperCamelCase__		=						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)
																					UpperCamelCase__		=						current_subwords_len
																					continue

														subword_len_counter += current_subwords_len

														print(line)
