



def    lowerCamelCase_(lowerCamelCase_    ) ->       list:




						if bit_count < 0:
												raise ValueError("The given input must be positive"    )

						# get the generated string sequence
						UpperCAmelCase         =     gray_code_sequence_string(__A    )
						#
						# convert them to integers
						for i in range(len(__A    )    ):
												UpperCAmelCase         =     int(sequence[i]    ,   2    )

						return sequence

def    lowerCamelCase_(lowerCamelCase_    ) ->       list:




						if bit_count == 0:
												return ["0"]

						if bit_count == 1:
												return ["0", "1"]

						UpperCAmelCase         =     1 << bit_count  # defines the length of the sequence
						# 1<< n is equivalent to 2^n

						# recursive answer will generate answer for n-1 bits
						UpperCAmelCase         =     gray_code_sequence_string(bit_count - 1    )

						UpperCAmelCase         =     []

						# append 0 to first half of the smaller sequence generated
						for i in range(seq_len // 2    ):
												UpperCAmelCase         =     '''0''' + smaller_sequence[i]
												sequence.append(__A    )

						# append 1 to second half ... start from the end of the list
						for i in reversed(range(seq_len // 2    )    ):
												UpperCAmelCase         =     '''1''' + smaller_sequence[i]
												sequence.append(__A    )

						return sequence


if __name__ == "__main__":
		import doctest

		doctest.testmod()








import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin





@require_jieba
class  __magic_name__   (							A__,  unittest.TestCase						):
		lowercase      :       Optional[Any]          =CpmAntTokenizer
		lowercase      :       Dict          =False






		def SCREAMING_SNAKE_CASE_			(						self      :     Optional[Any]      )				->					Dict:
								'''simple docstring'''







								super().setUp()

								UpperCAmelCase         =     [
								    "<d>",
								    "</d>",
								    "<s>",
								    "</s>",
								    "</_>",
								    "<unk>",
								    "<pad>",
								    "</n>",
								    "我",
								    "是",
								    "C",
								    "P",
								    "M",
								    "A",
								    "n",
								    "t",
								]
								UpperCAmelCase         =     os.path.join(self.tmpdirname				,		VOCAB_FILES_NAMES["vocab_file"]      )
								with open(self.vocab_file				,		"w"				,		encoding="utf-8"      ) as vocab_writer:
														vocab_writer.write("".join([x + "\n" for x in vocab_tokens]      )      )







		@tooslow
		def SCREAMING_SNAKE_CASE_			(						self      :     List[str]      )				->					Dict:
								'''simple docstring'''







								UpperCAmelCase         =     CpmAntTokenizer.from_pretrained("openbmb/cpm-ant-10b"      )
								UpperCAmelCase         =     "今天天气真好！"
								UpperCAmelCase         =     ["今天", "天气", "真", "好", "！"]
								UpperCAmelCase         =     tokenizer.tokenize(UpperCamelCase__      )
								self.assertListEqual(UpperCamelCase__				,		UpperCamelCase__      )
								UpperCAmelCase         =     "今天天气真好！"
								UpperCAmelCase         =     [tokenizer.bos_token] + tokens

								UpperCAmelCase         =     [6, 98_02, 1_49_62, 20_82, 8_31, 2_44]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__      )				,		UpperCamelCase__      )

								UpperCAmelCase         =     tokenizer.decode(UpperCamelCase__      )
								self.assertEqual(UpperCamelCase__				,		UpperCamelCase__      )



