





'''simple docstring'''





from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
	from ..models.auto import AutoTokenizer




class   UpperCamelCase_       :


							def      _snake_case  (							self    :Any							,				__A    :Tuple		)   ->   Optional[Any]:



									"""simple docstring"""



									raise NotImplementedError()


							def      _snake_case  (							self    :Any		)   ->   Optional[Any]:



									"""simple docstring"""



									raise NotImplementedError()




class   UpperCamelCase_       (     UpperCamelCase__    ):


							def __init__(							self    :Optional[int]							,				__A    :"AutoTokenizer"							,				__A    :bool = False							,				**__A    :Optional[Any]		)   ->   Dict:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__			=      tokenizer
									SCREAMING_SNAKE_CASE__			=      skip_prompt
									SCREAMING_SNAKE_CASE__			=      decode_kwargs

									# variables used in the streaming process
									SCREAMING_SNAKE_CASE__			=      []
									SCREAMING_SNAKE_CASE__			=      0
									SCREAMING_SNAKE_CASE__			=      True


							def      _snake_case  (							self    :Optional[Any]							,				__A    :List[str]		)   ->   Union[str, Any]:



									"""simple docstring"""



									if len(value.shape		) > 1 and value.shape[0] > 1:
											raise ValueError("""TextStreamer only supports batch size 1"""		)
									elif len(value.shape		) > 1:
											SCREAMING_SNAKE_CASE__			=      value[0]

									if self.skip_prompt and self.next_tokens_are_prompt:
											SCREAMING_SNAKE_CASE__			=      False
											return

									# Add the new token to the cache and decodes the entire thing.
									self.token_cache.extend(value.tolist()		)
									SCREAMING_SNAKE_CASE__			=      self.tokenizer.decode(self.token_cache							,				**self.decode_kwargs		)

									# After the symbol for a new line, we flush the cache.
									if text.endswith("""\n"""		):
											SCREAMING_SNAKE_CASE__			=      text[self.print_len :]
											SCREAMING_SNAKE_CASE__			=      []
											SCREAMING_SNAKE_CASE__			=      0
									# If the last token is a CJK character, we print the characters.
									elif len(__A		) > 0 and self._is_chinese_char(ord(text[-1]		)		):
											SCREAMING_SNAKE_CASE__			=      text[self.print_len :]
											self.print_len += len(__A		)
									# Otherwise, prints until the last space char (simple heuristic to avoid printing incomplete words,
									# which may change with the subsequent token -- there are probably smarter ways to do this!)
									else:
											SCREAMING_SNAKE_CASE__			=      text[self.print_len : text.rfind(""" """		) + 1]
											self.print_len += len(__A		)

									self.on_finalized_text(__A		)


							def      _snake_case  (							self    :Union[str, Any]		)   ->   int:



									"""simple docstring"""



									if len(self.token_cache		) > 0:
											SCREAMING_SNAKE_CASE__			=      self.tokenizer.decode(self.token_cache							,				**self.decode_kwargs		)
											SCREAMING_SNAKE_CASE__			=      text[self.print_len :]
											SCREAMING_SNAKE_CASE__			=      []
											SCREAMING_SNAKE_CASE__			=      0
									else:
											SCREAMING_SNAKE_CASE__			=      """"""

									SCREAMING_SNAKE_CASE__			=      True
									self.on_finalized_text(__A							,				stream_end=__A		)


							def      _snake_case  (							self    :int							,				__A    :str							,				__A    :bool = False		)   ->   Union[str, Any]:



									"""simple docstring"""



									print(__A							,				flush=__A							,				end="""""" if not stream_end else None		)


							def      _snake_case  (							self    :Optional[Any]							,				__A    :Optional[Any]		)   ->   Union[str, Any]:



									"""simple docstring"""



									if (
									    (cp >= 0X4E_00 and cp <= 0X9F_FF)
									    or (cp >= 0X34_00 and cp <= 0X4D_BF)  #
									    or (cp >= 0X2_00_00 and cp <= 0X2_A6_DF)  #
									    or (cp >= 0X2_A7_00 and cp <= 0X2_B7_3F)  #
									    or (cp >= 0X2_B7_40 and cp <= 0X2_B8_1F)  #
									    or (cp >= 0X2_B8_20 and cp <= 0X2_CE_AF)  #
									    or (cp >= 0XF9_00 and cp <= 0XFA_FF)
									    or (cp >= 0X2_F8_00 and cp <= 0X2_FA_1F)  #
									):  #
											return True

									return False




class   UpperCamelCase_       (     UpperCamelCase__    ):


							def __init__(							self    :List[Any]							,				__A    :"AutoTokenizer"							,				__A    :bool = False							,				__A    :Optional[float] = None							,				**__A    :Optional[int]		)   ->   List[Any]:



									"""simple docstring"""



									super().__init__(__A							,				__A							,				**__A		)
									SCREAMING_SNAKE_CASE__			=      Queue()
									SCREAMING_SNAKE_CASE__			=      None
									SCREAMING_SNAKE_CASE__			=      timeout


							def      _snake_case  (							self    :str							,				__A    :str							,				__A    :bool = False		)   ->   str:



									"""simple docstring"""



									self.text_queue.put(__A							,				timeout=self.timeout		)
									if stream_end:
											self.text_queue.put(self.stop_signal							,				timeout=self.timeout		)


							def __iter__(							self    :List[str]		)   ->   Tuple:



									"""simple docstring"""



									return self


							def      _snake_case  (							self    :Dict		)   ->   int:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__			=      self.text_queue.get(timeout=self.timeout		)
									if value == self.stop_signal:
											raise StopIteration()
									else:
											return value






import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class   UpperCamelCase_       (     UpperCamelCase__				,  unittest.TestCase    ):
							lowerCamelCase_           =					OpenAIGPTTokenizer
							lowerCamelCase_           =					OpenAIGPTTokenizerFast
							lowerCamelCase_           =					True
							lowerCamelCase_           =					False


							def      _snake_case  (							self    :Optional[Any]		)   ->   Dict:



									"""simple docstring"""



									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									SCREAMING_SNAKE_CASE__			=      [
									    """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>""",
									    """<unk>""",
									]
									SCREAMING_SNAKE_CASE__			=      dict(zip(__A							,				range(len(__A		)		)		)		)
									SCREAMING_SNAKE_CASE__			=      ["""#version: 0.2""", """l o""", """lo w""", """e r</w>""", """"""]

									SCREAMING_SNAKE_CASE__			=      os.path.join(self.tmpdirname							,				VOCAB_FILES_NAMES["""vocab_file"""]		)
									SCREAMING_SNAKE_CASE__			=      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      _snake_case  (							self    :Union[str, Any]							,				__A    :str		)   ->   List[Any]:



									"""simple docstring"""



									return "lower newer", "lower newer"


							def      _snake_case  (							self    :Optional[Any]		)   ->   Tuple:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__			=      OpenAIGPTTokenizer(self.vocab_file							,				self.merges_file		)

									SCREAMING_SNAKE_CASE__			=      """lower"""
									SCREAMING_SNAKE_CASE__			=      ["""low""", """er</w>"""]
									SCREAMING_SNAKE_CASE__			=      tokenizer.tokenize(__A		)
									self.assertListEqual(__A							,				__A		)

									SCREAMING_SNAKE_CASE__			=      tokens + ["""<unk>"""]
									SCREAMING_SNAKE_CASE__			=      [14, 15, 20]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(__A		)							,				__A		)


							def      _snake_case  (							self    :Optional[Any]							,				__A    :Optional[Any]=15		)   ->   Any:



									"""simple docstring"""



									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''		):
													SCREAMING_SNAKE_CASE__			=      self.rust_tokenizer_class.from_pretrained(__A							,				**__A		)

													# Simple input
													SCREAMING_SNAKE_CASE__			=      """This is a simple input"""
													SCREAMING_SNAKE_CASE__			=      ["""This is a simple input 1""", """This is a simple input 2"""]
													SCREAMING_SNAKE_CASE__			=      ("""This is a simple input""", """This is a pair""")
													SCREAMING_SNAKE_CASE__			=      [
													    ("""This is a simple input 1""", """This is a simple input 2"""),
													    ("""This is a simple pair 1""", """This is a simple pair 2"""),
													]

													# Simple input tests
													self.assertRaises(__A							,				tokenizer_r.encode							,				__A							,				max_length=__A							,				padding="""max_length"""		)

													# Simple input
													self.assertRaises(__A							,				tokenizer_r.encode_plus							,				__A							,				max_length=__A							,				padding="""max_length"""		)

													# Simple input
													self.assertRaises(
													    __A							,				tokenizer_r.batch_encode_plus							,				__A							,				max_length=__A							,				padding="""max_length"""							,				)

													# Pair input
													self.assertRaises(__A							,				tokenizer_r.encode							,				__A							,				max_length=__A							,				padding="""max_length"""		)

													# Pair input
													self.assertRaises(__A							,				tokenizer_r.encode_plus							,				__A							,				max_length=__A							,				padding="""max_length"""		)

													# Pair input
													self.assertRaises(
													    __A							,				tokenizer_r.batch_encode_plus							,				__A							,				max_length=__A							,				padding="""max_length"""							,				)


							def      _snake_case  (							self    :Dict		)   ->   List[Any]:



									"""simple docstring"""



									pass




@require_ftfy
@require_spacy
@require_tokenizers
class   UpperCamelCase_       (     UpperCamelCase__    ):
							pass