






"""simple docstring"""
import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class      SCREAMING_SNAKE_CASE  (				_SCREAMING_SNAKE_CASE       ,       unittest.TestCase						):





	"""simple docstring"""




	_A       :				Optional[Any]    =				CTRLTokenizer
	_A       :				List[Any]    =				False
	_A       :				Union[str, Any]    =				False





	def    lowerCamelCase(self							):
		super().setUp()

		# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
		A_		:						Tuple	    =   ["""adapt""", """re@@""", """a@@""", """apt""", """c@@""", """t""", """<unk>"""]
		A_		:						str	    =   dict(zip(lowerCAmelCase_     ,     range(len(lowerCAmelCase_							)							)							)							)
		A_		:						Dict	    =   ["""#version: 0.2""", """a p""", """ap t</w>""", """r e""", """a d""", """ad apt</w>""", """"""]
		A_		:						Tuple	    =   {"""unk_token""": """<unk>"""}

		A_		:						Optional[Any]	    =   os.path.join(self.tmpdirname     ,     VOCAB_FILES_NAMES["""vocab_file"""]							)
		A_		:						str	    =   os.path.join(self.tmpdirname     ,     VOCAB_FILES_NAMES["""merges_file"""]							)
		with open(self.vocab_file     ,     """w"""     ,     encoding="""utf-8"""							) as fp:
			fp.write(json.dumps(lowerCAmelCase_							) + """\n"""							)
		with open(self.merges_file     ,     """w"""     ,     encoding="""utf-8"""							) as fp:
			fp.write("""\n""".join(lowerCAmelCase_							)							)





	def    lowerCamelCase(self     ,     **lowerCAmelCase_							):
		kwargs.update(self.special_tokens_map							)
		return CTRLTokenizer.from_pretrained(self.tmpdirname     ,     **lowerCAmelCase_							)





	def    lowerCamelCase(self     ,     lowerCAmelCase_							):
		A_		:						Dict	    =   """adapt react readapt apt"""
		A_		:						Tuple	    =   """adapt react readapt apt"""
		return input_text, output_text





	def    lowerCamelCase(self							):
		A_		:						Tuple	    =   CTRLTokenizer(self.vocab_file     ,     self.merges_file     ,     **self.special_tokens_map							)
		A_		:						int	    =   """adapt react readapt apt"""
		A_		:						Tuple	    =   """adapt re@@ a@@ c@@ t re@@ adapt apt""".split()
		A_		:						Tuple	    =   tokenizer.tokenize(lowerCAmelCase_							)
		self.assertListEqual(lowerCAmelCase_     ,     lowerCAmelCase_							)

		A_		:						Optional[int]	    =   tokens + [tokenizer.unk_token]

		A_		:						List[str]	    =   [0, 1, 2, 4, 5, 1, 0, 3, 6]
		self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_							)     ,     lowerCAmelCase_							)









"""simple docstring"""
import os


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_doctest_list.py
_lowerCAmelCase         =							"."


if __name__ == "__main__":
							_lowerCAmelCase         =							os.path.join(REPO_PATH, "utils/documentation_tests.txt")
							_lowerCAmelCase         =							[]
							_lowerCAmelCase         =							[]
							with open(doctest_file_path) as fp:
														for line in fp:
																					_lowerCAmelCase         =							line.strip()
																					_lowerCAmelCase         =							os.path.join(REPO_PATH, line)
																					if not (os.path.isfile(path) or os.path.isdir(path)):
																												non_existent_paths.append(line)
																					all_paths.append(path)
							if len(non_existent_paths) > 0:
														_lowerCAmelCase         =							"\n".join(non_existent_paths)
														raise ValueError(F'`utils/documentation_tests.txt` contains non-existent paths:\n{non_existent_paths}')
							if all_paths != sorted(all_paths):
														raise ValueError("Files in `utils/documentation_tests.txt` are not in alphabetical order.")

