





"""simple docstring"""


import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class        lowercase__ (      __SCREAMING_SNAKE_CASE				,    unittest.TestCase  ):

			"""simple docstring"""
			__lowerCAmelCase    :							Optional[Any]								=     HerbertTokenizer
			__lowerCAmelCase    :							Any								=     HerbertTokenizerFast
			__lowerCAmelCase    :							List[str]								=     True







			def      _a			(			self						):






									'''simple docstring'''







									super().setUp()

									# Use a simpler test file without japanese/chinese characters
									with open(f"""{get_tests_dir()}/fixtures/sample_text_no_unicode.txt"""	,      encoding="""utf-8"""						) as f_data:
															UpperCamelCase							:		Optional[int]							      = f_data.read().replace("""\n\n"""	,      """\n"""						).strip()

									UpperCamelCase							:		Dict							      = [
									    """<s>""",
									    """</s>""",
									    """l""",
									    """o""",
									    """w""",
									    """e""",
									    """r""",
									    """s""",
									    """t""",
									    """i""",
									    """d""",
									    """n""",
									    """w</w>""",
									    """r</w>""",
									    """t</w>""",
									    """lo""",
									    """low""",
									    """er</w>""",
									    """low</w>""",
									    """lowest</w>""",
									    """newer</w>""",
									    """wider</w>""",
									    """,</w>""",
									    """<unk>""",
									]
									UpperCamelCase							:		List[str]							      = dict(zip(_A	,      range(len(_A						)						)						)						)
									UpperCamelCase							:		int							      = ["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

									UpperCamelCase							:		Any							      = os.path.join(self.tmpdirname	,      VOCAB_FILES_NAMES["""vocab_file"""]						)
									UpperCamelCase							:		Dict							      = os.path.join(self.tmpdirname	,      VOCAB_FILES_NAMES["""merges_file"""]						)
									with open(self.vocab_file	,      """w"""						) as fp:
															fp.write(json.dumps(_A						)						)
									with open(self.merges_file	,      """w"""						) as fp:
															fp.write("""\n""".join(_A						)						)







			def      _a			(			self	,      _A						):






									'''simple docstring'''







									UpperCamelCase							:		Dict							      = """lower newer"""
									UpperCamelCase							:		List[str]							      = """lower newer"""
									return input_text, output_text







			def      _a			(			self						):






									'''simple docstring'''







									UpperCamelCase							:		Tuple							      = self.tokenizer_class(vocab_file=self.vocab_file	,      merges_file=self.merges_file						)

									UpperCamelCase							:		str							      = """lower"""
									UpperCamelCase							:		List[Any]							      = ["""low""", """er</w>"""]
									UpperCamelCase							:		Tuple							      = tokenizer.tokenize(_A						)
									self.assertListEqual(_A	,      _A						)

									UpperCamelCase							:		str							      = tokens + ["""<unk>"""]
									UpperCamelCase							:		int							      = [1_6, 1_7, 2_3]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(_A						)	,      _A						)







			def      _a			(			self						):






									'''simple docstring'''







									if not self.test_rust_tokenizer:
															return

									UpperCamelCase							:		Union[str, Any]							      = self.get_tokenizer()
									UpperCamelCase							:		Union[str, Any]							      = self.get_rust_tokenizer()

									UpperCamelCase							:		List[Any]							      = """lower,newer"""

									UpperCamelCase							:		Any							      = tokenizer.tokenize(_A						)
									UpperCamelCase							:		Optional[Any]							      = rust_tokenizer.tokenize(_A						)
									self.assertListEqual(_A	,      _A						)

									UpperCamelCase							:		Optional[Any]							      = tokenizer.encode(_A	,      add_special_tokens=_A						)
									UpperCamelCase							:		Union[str, Any]							      = rust_tokenizer.encode(_A	,      add_special_tokens=_A						)
									self.assertListEqual(_A	,      _A						)

									UpperCamelCase							:		str							      = self.get_rust_tokenizer()
									UpperCamelCase							:		int							      = tokenizer.encode(_A						)
									UpperCamelCase							:		Union[str, Any]							      = rust_tokenizer.encode(_A						)
									self.assertListEqual(_A	,      _A						)







			@slow
			def      _a			(			self						):






									'''simple docstring'''







									UpperCamelCase							:		Dict							      = self.tokenizer_class.from_pretrained("""allegro/herbert-base-cased"""						)

									UpperCamelCase							:		List[str]							      = tokenizer.encode("""konstruowanie sekwencji"""	,      add_special_tokens=_A						)
									UpperCamelCase							:		Any							      = tokenizer.encode("""konstruowanie wielu sekwencji"""	,      add_special_tokens=_A						)

									UpperCamelCase							:		Optional[Any]							      = tokenizer.build_inputs_with_special_tokens(_A						)
									UpperCamelCase							:		int							      = tokenizer.build_inputs_with_special_tokens(_A	,      _A						)

									assert encoded_sentence == [0] + text + [2]
									assert encoded_pair == [0] + text + [2] + text_a + [2]










"""simple docstring"""


def     UpperCamelCase       (SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE    ):
						UpperCamelCase							:		int							      = len(SCREAMING_SNAKE_CASE    )
						UpperCamelCase							:		int							      = len(SCREAMING_SNAKE_CASE    )
						UpperCamelCase							:		int							      = (
						    first_input_list_length
						    if first_input_list_length > second_input_list_length
						    else second_input_list_length
						)
						UpperCamelCase							:		list							      = []
						for char_count in range(SCREAMING_SNAKE_CASE    ):
												if char_count < first_input_list_length:
																		output_result_list.append(first_input_list[char_count]    )
												if char_count < second_input_list_length:
																		output_result_list.append(second_input_list[char_count]    )

						return output_result_list


if __name__ == "__main__":
		print(alternative_list_arrange(["""A""", """B""", """C"""], [1, 2, 3, 4, 5]), end=""" """)



