


import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, PerceiverTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
		SCREAMING_SNAKE_CASE__     					=			"pt"
elif is_tf_available():
		SCREAMING_SNAKE_CASE__     					=			"tf"
else:
		SCREAMING_SNAKE_CASE__     					=			"jax"



class 						_UpperCAmelCase      (     A__		,		unittest.TestCase							):
		lowerCamelCase_	:			Union[str, Any]       			=  PerceiverTokenizer
		lowerCamelCase_	:			List[Any]       			=  False






		def _snake_case		(						self				:     int):
				super().setUp()
				SCREAMING_SNAKE_CASE_				:Any				     =						PerceiverTokenizer()
				tokenizer.save_pretrained(self.tmpdirname)






		@cached_property
		def _snake_case		(						self				:     List[Any]):
				return PerceiverTokenizer.from_pretrained("deepmind/language-perceiver")






		def _snake_case		(						self				:     Any   ,  **UpperCAmelCase				:     Union[str, Any]):
				return self.tokenizer_class.from_pretrained(self.tmpdirname   ,  **__UpperCAmelCase)






		def _snake_case		(						self				:     Any   ,  UpperCAmelCase				:     str   ,  UpperCAmelCase				:     Tuple=False   ,  UpperCAmelCase				:     List[Any]=20   ,  UpperCAmelCase				:     Any=5):
				# XXX The default common tokenizer tests assume that every ID is decodable on its own.
				# This assumption is invalid for Perceiver because single bytes might not be
				# valid utf-8 (byte 128 for instance).
				# Here we're overriding the smallest possible method to provide
				# a clean sequence without making the same assumption.

				SCREAMING_SNAKE_CASE_				:Any				     =						[]
				for i in range(len(__UpperCAmelCase)):
						try:
								SCREAMING_SNAKE_CASE_				:Any				     =						tokenizer.decode([i]   ,  clean_up_tokenization_spaces=__UpperCAmelCase)
						except UnicodeDecodeError:
								pass
						toks.append((i, tok))

				SCREAMING_SNAKE_CASE_				:str				     =						list(filter(lambda UpperCAmelCase: re.match(R"^[ a-zA-Z]+$"   ,  t[1])   ,  __UpperCAmelCase))
				SCREAMING_SNAKE_CASE_				:str				     =						list(filter(lambda UpperCAmelCase: [t[0]] == tokenizer.encode(t[1]   ,  add_special_tokens=__UpperCAmelCase)   ,  __UpperCAmelCase))
				if max_length is not None and len(__UpperCAmelCase) > max_length:
						SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						toks[:max_length]
				if min_length is not None and len(__UpperCAmelCase) < min_length and len(__UpperCAmelCase) > 0:
						while len(__UpperCAmelCase) < min_length:
								SCREAMING_SNAKE_CASE_				:Dict				     =						toks + toks
        # toks_str = [t[1] for t in toks]
				SCREAMING_SNAKE_CASE_				:List[Any]				     =						[t[0] for t in toks]

				# Ensure consistency
				SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						tokenizer.decode(__UpperCAmelCase   ,  clean_up_tokenization_spaces=__UpperCAmelCase)
				if " " not in output_txt and len(__UpperCAmelCase) > 1:
						SCREAMING_SNAKE_CASE_				:Tuple				     =						(
						    tokenizer.decode([toks_ids[0]]   ,  clean_up_tokenization_spaces=__UpperCAmelCase)
						    + " "
						    + tokenizer.decode(toks_ids[1:]   ,  clean_up_tokenization_spaces=__UpperCAmelCase)
						)
				if with_prefix_space:
						SCREAMING_SNAKE_CASE_				:str				     =						" " + output_txt
				SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						tokenizer.encode(__UpperCAmelCase   ,  add_special_tokens=__UpperCAmelCase)
				return output_txt, output_ids






		def _snake_case		(						self				:     str):
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						self.perceiver_tokenizer
				SCREAMING_SNAKE_CASE_				:Dict				     =						"Unicode €."
				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						tokenizer(__UpperCAmelCase)
				SCREAMING_SNAKE_CASE_				:List[Any]				     =						[4, 91, 1_16, 1_11, 1_05, 1_17, 1_06, 1_07, 38, 2_32, 1_36, 1_78, 52, 5]
				self.assertEqual(encoded["input_ids"]   ,  __UpperCAmelCase)

				# decoding
				SCREAMING_SNAKE_CASE_				:Any				     =						tokenizer.decode(__UpperCAmelCase)
				self.assertEqual(__UpperCAmelCase   ,  "[CLS]Unicode €.[SEP]")

				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						tokenizer("e è é ê ë")
				SCREAMING_SNAKE_CASE_				:List[str]				     =						[4, 1_07, 38, 2_01, 1_74, 38, 2_01, 1_75, 38, 2_01, 1_76, 38, 2_01, 1_77, 5]
				self.assertEqual(encoded["input_ids"]   ,  __UpperCAmelCase)
				# decoding
				SCREAMING_SNAKE_CASE_				:int				     =						tokenizer.decode(__UpperCAmelCase)
				self.assertEqual(__UpperCAmelCase   ,  "[CLS]e è é ê ë[SEP]")

				# encode/decode, but with `encode` instead of `__call__`
				self.assertEqual(tokenizer.decode(tokenizer.encode("e è é ê ë"))   ,  "[CLS]e è é ê ë[SEP]")






		def _snake_case		(						self				:     List[str]):
				SCREAMING_SNAKE_CASE_				:int				     =						self.perceiver_tokenizer
				SCREAMING_SNAKE_CASE_				:List[Any]				     =						["A long paragraph for summarization.", "Another paragraph for summarization."]
				# fmt: off
				SCREAMING_SNAKE_CASE_				:str				     =						[4, 71, 38, 1_14, 1_17, 1_16, 1_09, 38, 1_18, 1_03, 1_20, 1_03, 1_09, 1_20, 1_03, 1_18, 1_10, 38, 1_08, 1_17, 1_20, 38, 1_21, 1_23, 1_15, 1_15, 1_03, 1_20, 1_11, 1_28, 1_03, 1_22, 1_11, 1_17, 1_16, 52, 5, 0]
				# fmt: on
				SCREAMING_SNAKE_CASE_				:Tuple				     =						tokenizer(__UpperCAmelCase   ,  padding=__UpperCAmelCase   ,  return_tensors=__UpperCAmelCase)
				self.assertIsInstance(__UpperCAmelCase   ,  __UpperCAmelCase)

				if FRAMEWORK != "jax":
						SCREAMING_SNAKE_CASE_				:int				     =						list(batch.input_ids.numpy()[0])
				else:
						SCREAMING_SNAKE_CASE_				:int				     =						list(batch.input_ids.tolist()[0])

				self.assertListEqual(__UpperCAmelCase   ,  __UpperCAmelCase)

				self.assertEqual((2, 38)   ,  batch.input_ids.shape)
				self.assertEqual((2, 38)   ,  batch.attention_mask.shape)






		def _snake_case		(						self				:     int):
				SCREAMING_SNAKE_CASE_				:str				     =						self.perceiver_tokenizer
				SCREAMING_SNAKE_CASE_				:Tuple				     =						["A long paragraph for summarization.", "Another paragraph for summarization."]
				SCREAMING_SNAKE_CASE_				:Tuple				     =						tokenizer(__UpperCAmelCase   ,  padding=__UpperCAmelCase   ,  return_tensors=__UpperCAmelCase)
				# check if input_ids are returned and no decoder_input_ids
				self.assertIn("input_ids"   ,  __UpperCAmelCase)
				self.assertIn("attention_mask"   ,  __UpperCAmelCase)
				self.assertNotIn("decoder_input_ids"   ,  __UpperCAmelCase)
				self.assertNotIn("decoder_attention_mask"   ,  __UpperCAmelCase)






		def _snake_case		(						self				:     Any):
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						self.perceiver_tokenizer
				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						[
				    "Summary of the text.",
				    "Another summary.",
				]
				SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						tokenizer(
				    text_target=__UpperCAmelCase   ,  max_length=32   ,  padding="max_length"   ,  truncation=__UpperCAmelCase   ,  return_tensors=__UpperCAmelCase)
				self.assertEqual(32   ,  targets["input_ids"].shape[1])






		def _snake_case		(						self				:     Optional[Any]):
				# safety check on max_len default value so we are sure the test works
				SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						self.get_tokenizers()
				for tokenizer in tokenizers:
						with self.subTest(F"{tokenizer.__class__.__name__}"):
								self.assertNotEqual(tokenizer.model_max_length   ,  42)

        # Now let's start the test
				SCREAMING_SNAKE_CASE_				:Tuple				     =						self.get_tokenizers()
				for tokenizer in tokenizers:
						with self.subTest(F"{tokenizer.__class__.__name__}"):
								# Isolate this from the other tests because we save additional tokens/etc
								SCREAMING_SNAKE_CASE_				:Optional[Any]				     =						tempfile.mkdtemp()

								SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						" He is very happy, UNwant\u00E9d,running"
								SCREAMING_SNAKE_CASE_				:List[Any]				     =						tokenizer.encode(__UpperCAmelCase   ,  add_special_tokens=__UpperCAmelCase)
								tokenizer.save_pretrained(__UpperCAmelCase)

								SCREAMING_SNAKE_CASE_				:str				     =						tokenizer.__class__.from_pretrained(__UpperCAmelCase)
								SCREAMING_SNAKE_CASE_				:Dict				     =						after_tokenizer.encode(__UpperCAmelCase   ,  add_special_tokens=__UpperCAmelCase)
								self.assertListEqual(__UpperCAmelCase   ,  __UpperCAmelCase)

								shutil.rmtree(__UpperCAmelCase)

				SCREAMING_SNAKE_CASE_				:str				     =						self.get_tokenizers(model_max_length=42)
				for tokenizer in tokenizers:
						with self.subTest(F"{tokenizer.__class__.__name__}"):
								# Isolate this from the other tests because we save additional tokens/etc
								SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						tempfile.mkdtemp()

								SCREAMING_SNAKE_CASE_				:Tuple				     =						" He is very happy, UNwant\u00E9d,running"
								tokenizer.add_tokens(["bim", "bambam"])
								SCREAMING_SNAKE_CASE_				:List[str]				     =						tokenizer.additional_special_tokens
								additional_special_tokens.append("new_additional_special_token")
								tokenizer.add_special_tokens({"additional_special_tokens": additional_special_tokens})
								SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						tokenizer.encode(__UpperCAmelCase   ,  add_special_tokens=__UpperCAmelCase)
								tokenizer.save_pretrained(__UpperCAmelCase)

								SCREAMING_SNAKE_CASE_				:int				     =						tokenizer.__class__.from_pretrained(__UpperCAmelCase)
								SCREAMING_SNAKE_CASE_				:Tuple				     =						after_tokenizer.encode(__UpperCAmelCase   ,  add_special_tokens=__UpperCAmelCase)
								self.assertListEqual(__UpperCAmelCase   ,  __UpperCAmelCase)
								self.assertIn("new_additional_special_token"   ,  after_tokenizer.additional_special_tokens)
								self.assertEqual(after_tokenizer.model_max_length   ,  42)

								SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						tokenizer.__class__.from_pretrained(__UpperCAmelCase   ,  model_max_length=43)
								self.assertEqual(tokenizer.model_max_length   ,  43)

								shutil.rmtree(__UpperCAmelCase)






		def _snake_case		(						self				:     Optional[Any]):
				SCREAMING_SNAKE_CASE_				:Optional[int]				     =						[]
				if self.test_slow_tokenizer:
						tokenizer_list.append((self.tokenizer_class, self.get_tokenizer()))

				if self.test_rust_tokenizer:
						tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer()))

				for tokenizer_class, tokenizer_utils in tokenizer_list:
						with tempfile.TemporaryDirectory() as tmp_dir:
								tokenizer_utils.save_pretrained(__UpperCAmelCase)

								with open(os.path.join(__UpperCAmelCase   ,  "special_tokens_map.json")   ,  encoding="utf-8") as json_file:
										SCREAMING_SNAKE_CASE_				:Union[str, Any]				     =						json.load(__UpperCAmelCase)

								with open(os.path.join(__UpperCAmelCase   ,  "tokenizer_config.json")   ,  encoding="utf-8") as json_file:
										SCREAMING_SNAKE_CASE_				:Optional[int]				     =						json.load(__UpperCAmelCase)

								SCREAMING_SNAKE_CASE_				:List[str]				     =						[F"<extra_id_{i}>" for i in range(1_25)]

								SCREAMING_SNAKE_CASE_				:Any				     =						added_tokens_extra_ids + [
								    "an_additional_special_token"
								]
								SCREAMING_SNAKE_CASE_				:Tuple				     =						added_tokens_extra_ids + [
								    "an_additional_special_token"
								]

								with open(os.path.join(__UpperCAmelCase   ,  "special_tokens_map.json")   ,  "w"   ,  encoding="utf-8") as outfile:
										json.dump(__UpperCAmelCase   ,  __UpperCAmelCase)
								with open(os.path.join(__UpperCAmelCase   ,  "tokenizer_config.json")   ,  "w"   ,  encoding="utf-8") as outfile:
										json.dump(__UpperCAmelCase   ,  __UpperCAmelCase)

								# the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
								# into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
								# "special_tokens_map.json" files
								SCREAMING_SNAKE_CASE_				:Tuple				     =						tokenizer_class.from_pretrained(
								    __UpperCAmelCase   ,  )
								self.assertIn(
								    "an_additional_special_token"   ,  tokenizer_without_change_in_init.additional_special_tokens)
								self.assertEqual(
								    ["an_additional_special_token"]   ,  tokenizer_without_change_in_init.convert_ids_to_tokens(
								        tokenizer_without_change_in_init.convert_tokens_to_ids(["an_additional_special_token"]))   ,  )

								# Now we test that we can change the value of additional_special_tokens in the from_pretrained
								SCREAMING_SNAKE_CASE_				:List[Any]				     =						added_tokens_extra_ids + [AddedToken("a_new_additional_special_token"   ,  lstrip=__UpperCAmelCase)]
								SCREAMING_SNAKE_CASE_				:Optional[int]				     =						tokenizer_class.from_pretrained(
								    __UpperCAmelCase   ,  additional_special_tokens=__UpperCAmelCase   ,  )

								self.assertIn("a_new_additional_special_token"   ,  tokenizer.additional_special_tokens)
								self.assertEqual(
								    ["a_new_additional_special_token"]   ,  tokenizer.convert_ids_to_tokens(
								        tokenizer.convert_tokens_to_ids(["a_new_additional_special_token"]))   ,  )






		def _snake_case		(						self				:     List[str]):
				SCREAMING_SNAKE_CASE_				:List[Any]				     =						self.perceiver_tokenizer
				self.assertEqual(tokenizer.decode([1_78])   ,  "�")






		def _snake_case		(						self				:     int):
				pass






		def _snake_case		(						self				:     Optional[Any]):
				pass






		def _snake_case		(						self				:     str):
				pass






		def _snake_case		(						self				:     int):
				pass







		def _snake_case		(						self				:     List[str]):
				# The default common tokenizer tests uses invalid tokens for Perceiver that can only accept one-character
				# strings and special added tokens as tokens
				SCREAMING_SNAKE_CASE_				:List[str]				     =						self.get_tokenizers(fast=__UpperCAmelCase   ,  do_lower_case=__UpperCAmelCase)
				for tokenizer in tokenizers:
						with self.subTest(F"{tokenizer.__class__.__name__}"):
								SCREAMING_SNAKE_CASE_				:List[str]				     =						["[CLS]", "t", "h", "i", "s", " ", "i", "s", " ", "a", " ", "t", "e", "s", "t", "[SEP]"]
								SCREAMING_SNAKE_CASE_				:Optional[int]				     =						tokenizer.convert_tokens_to_string(__UpperCAmelCase)

								self.assertIsInstance(__UpperCAmelCase   ,  __UpperCAmelCase)









"""simple docstring"""




# flake8: noqa
# Lint as: python3
A_				:      List[str]           =			[
    "VerificationMode",
    "Version",
    "disable_progress_bar",
    "enable_progress_bar",
    "is_progress_bar_enabled",
    "experimental",
]

from .info_utils import VerificationMode
from .logging import disable_progress_bar, enable_progress_bar, is_progress_bar_enabled
from .version import Version
from .experimental import experimental


