


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():
			__snake_case      = "pt"
elif is_tf_available():
			__snake_case      = "tf"
else:
			__snake_case      = "jax"




class  UpperCAmelCase       (							UpperCamelCase__   ,			unittest.TestCase     ):
			lowercase						       =			PerceiverTokenizer
			lowercase						       =			False




			def 	lowerCamelCase_       (    self				:		Union[str, Any]    ):







						"""simple docstring"""







						super().setUp()
						UpperCamelCase								=       PerceiverTokenizer()
						tokenizer.save_pretrained(self.tmpdirname    )




			@cached_property
			def 	lowerCamelCase_       (    self				:		Tuple    ):







						"""simple docstring"""







						return PerceiverTokenizer.from_pretrained("""deepmind/language-perceiver"""    )




			def 	lowerCamelCase_       (    self				:		List[Any]							,							**__magic_name__				:		Optional[int]    ):







						"""simple docstring"""







						return self.tokenizer_class.from_pretrained(self.tmpdirname							,							**__magic_name__    )




			def 	lowerCamelCase_       (    self				:		Tuple							,							__magic_name__				:		str							,							__magic_name__				:		str=False							,							__magic_name__				:		List[str]=2_0							,							__magic_name__				:		Optional[Any]=5    ):







						"""simple docstring"""







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

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

						# Ensure consistency
						UpperCamelCase								=       tokenizer.decode(__magic_name__							,							clean_up_tokenization_spaces=__magic_name__    )
						if " " not in output_txt and len(__magic_name__    ) > 1:
									UpperCamelCase								=       (
									    tokenizer.decode([toks_ids[0]]							,							clean_up_tokenization_spaces=__magic_name__    )
									    + """ """
									    + tokenizer.decode(toks_ids[1:]							,							clean_up_tokenization_spaces=__magic_name__    )
									)
						if with_prefix_space:
									UpperCamelCase								=       """ """ + output_txt
						UpperCamelCase								=       tokenizer.encode(__magic_name__							,							add_special_tokens=__magic_name__    )
						return output_txt, output_ids




			def 	lowerCamelCase_       (    self				:		Dict    ):







						"""simple docstring"""







						UpperCamelCase								=       self.perceiver_tokenizer
						UpperCamelCase								=       """Unicode €."""
						UpperCamelCase								=       tokenizer(__magic_name__    )
						UpperCamelCase								=       [4, 9_1, 1_1_6, 1_1_1, 1_0_5, 1_1_7, 1_0_6, 1_0_7, 3_8, 2_3_2, 1_3_6, 1_7_8, 5_2, 5]
						self.assertEqual(encoded["""input_ids"""]							,							__magic_name__    )

						# decoding
						UpperCamelCase								=       tokenizer.decode(__magic_name__    )
						self.assertEqual(__magic_name__							,							"""[CLS]Unicode €.[SEP]"""    )

						UpperCamelCase								=       tokenizer("""e è é ê ë"""    )
						UpperCamelCase								=       [4, 1_0_7, 3_8, 2_0_1, 1_7_4, 3_8, 2_0_1, 1_7_5, 3_8, 2_0_1, 1_7_6, 3_8, 2_0_1, 1_7_7, 5]
						self.assertEqual(encoded["""input_ids"""]							,							__magic_name__    )
						# decoding
						UpperCamelCase								=       tokenizer.decode(__magic_name__    )
						self.assertEqual(__magic_name__							,							"""[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 	lowerCamelCase_       (    self				:		int    ):







						"""simple docstring"""







						UpperCamelCase								=       self.perceiver_tokenizer
						UpperCamelCase								=       ["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
						# fmt: off
						UpperCamelCase								=       [4, 7_1, 3_8, 1_1_4, 1_1_7, 1_1_6, 1_0_9, 3_8, 1_1_8, 1_0_3, 1_2_0, 1_0_3, 1_0_9, 1_2_0, 1_0_3, 1_1_8, 1_1_0, 3_8, 1_0_8, 1_1_7, 1_2_0, 3_8, 1_2_1, 1_2_3, 1_1_5, 1_1_5, 1_0_3, 1_2_0, 1_1_1, 1_2_8, 1_0_3, 1_2_2, 1_1_1, 1_1_7, 1_1_6, 5_2, 5, 0]
						# fmt: on
						UpperCamelCase								=       tokenizer(__magic_name__							,							padding=__magic_name__							,							return_tensors=__magic_name__    )
						self.assertIsInstance(__magic_name__							,							__magic_name__    )

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

						self.assertListEqual(__magic_name__							,							__magic_name__    )

						self.assertEqual((2, 3_8)							,							batch.input_ids.shape    )
						self.assertEqual((2, 3_8)							,							batch.attention_mask.shape    )




			def 	lowerCamelCase_       (    self				:		int    ):







						"""simple docstring"""







						UpperCamelCase								=       self.perceiver_tokenizer
						UpperCamelCase								=       ["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
						UpperCamelCase								=       tokenizer(__magic_name__							,							padding=__magic_name__							,							return_tensors=__magic_name__    )
						# check if input_ids are returned and no decoder_input_ids
						self.assertIn("""input_ids"""							,							__magic_name__    )
						self.assertIn("""attention_mask"""							,							__magic_name__    )
						self.assertNotIn("""decoder_input_ids"""							,							__magic_name__    )
						self.assertNotIn("""decoder_attention_mask"""							,							__magic_name__    )




			def 	lowerCamelCase_       (    self				:		Any    ):







						"""simple docstring"""







						UpperCamelCase								=       self.perceiver_tokenizer
						UpperCamelCase								=       [
						    """Summary of the text.""",
						    """Another summary.""",
						]
						UpperCamelCase								=       tokenizer(
						    text_target=__magic_name__							,							max_length=3_2							,							padding="""max_length"""							,							truncation=__magic_name__							,							return_tensors=__magic_name__    )
						self.assertEqual(3_2							,							targets["""input_ids"""].shape[1]    )




			def 	lowerCamelCase_       (    self				:		Dict    ):







						"""simple docstring"""







						UpperCamelCase								=       self.get_tokenizers()
						for tokenizer in tokenizers:
									with self.subTest(F'{tokenizer.__class__.__name__}'    ):
												self.assertNotEqual(tokenizer.model_max_length							,							4_2    )

        # Now let's start the test
						UpperCamelCase								=       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
												UpperCamelCase								=       tempfile.mkdtemp()

												UpperCamelCase								=       """ He is very happy, UNwant\u00E9d,running"""
												UpperCamelCase								=       tokenizer.encode(__magic_name__							,							add_special_tokens=__magic_name__    )
												tokenizer.save_pretrained(__magic_name__    )

												UpperCamelCase								=       tokenizer.__class__.from_pretrained(__magic_name__    )
												UpperCamelCase								=       after_tokenizer.encode(__magic_name__							,							add_special_tokens=__magic_name__    )
												self.assertListEqual(__magic_name__							,							__magic_name__    )

												shutil.rmtree(__magic_name__    )

						UpperCamelCase								=       self.get_tokenizers(model_max_length=4_2    )
						for tokenizer in tokenizers:
									with self.subTest(F'{tokenizer.__class__.__name__}'    ):
												# Isolate this from the other tests because we save additional tokens/etc
												UpperCamelCase								=       tempfile.mkdtemp()

												UpperCamelCase								=       """ He is very happy, UNwant\u00E9d,running"""
												tokenizer.add_tokens(["""bim""", """bambam"""]    )
												UpperCamelCase								=       tokenizer.additional_special_tokens
												additional_special_tokens.append("""new_additional_special_token"""    )
												tokenizer.add_special_tokens({"""additional_special_tokens""": additional_special_tokens}    )
												UpperCamelCase								=       tokenizer.encode(__magic_name__							,							add_special_tokens=__magic_name__    )
												tokenizer.save_pretrained(__magic_name__    )

												UpperCamelCase								=       tokenizer.__class__.from_pretrained(__magic_name__    )
												UpperCamelCase								=       after_tokenizer.encode(__magic_name__							,							add_special_tokens=__magic_name__    )
												self.assertListEqual(__magic_name__							,							__magic_name__    )
												self.assertIn("""new_additional_special_token"""							,							after_tokenizer.additional_special_tokens    )
												self.assertEqual(after_tokenizer.model_max_length							,							4_2    )

												UpperCamelCase								=       tokenizer.__class__.from_pretrained(__magic_name__							,							model_max_length=4_3    )
												self.assertEqual(tokenizer.model_max_length							,							4_3    )

												shutil.rmtree(__magic_name__    )




			def 	lowerCamelCase_       (    self				:		Optional[int]    ):







						"""simple docstring"""







						UpperCamelCase								=       []
						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(__magic_name__    )

												with open(os.path.join(__magic_name__							,							"""special_tokens_map.json"""    )							,							encoding="""utf-8"""    ) as json_file:
															UpperCamelCase								=       json.load(__magic_name__    )

												with open(os.path.join(__magic_name__							,							"""tokenizer_config.json"""    )							,							encoding="""utf-8"""    ) as json_file:
															UpperCamelCase								=       json.load(__magic_name__    )

												UpperCamelCase								=       [F'<extra_id_{i}>' for i in range(1_2_5    )]

												UpperCamelCase								=       added_tokens_extra_ids + [
												    """an_additional_special_token"""
												]
												UpperCamelCase								=       added_tokens_extra_ids + [
												    """an_additional_special_token"""
												]

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

												# 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
												UpperCamelCase								=       tokenizer_class.from_pretrained(
												    __magic_name__							,							)
												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
												UpperCamelCase								=       added_tokens_extra_ids + [AddedToken("""a_new_additional_special_token"""							,							lstrip=__magic_name__    )]
												UpperCamelCase								=       tokenizer_class.from_pretrained(
												    __magic_name__							,							additional_special_tokens=__magic_name__							,							)

												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 	lowerCamelCase_       (    self				:		List[str]    ):







						"""simple docstring"""







						UpperCamelCase								=       self.perceiver_tokenizer
						self.assertEqual(tokenizer.decode([1_7_8]    )							,							"""�"""    )




			def 	lowerCamelCase_       (    self				:		Tuple    ):







						"""simple docstring"""







						pass




			def 	lowerCamelCase_       (    self				:		int    ):







						"""simple docstring"""







						pass




			def 	lowerCamelCase_       (    self				:		List[str]    ):







						"""simple docstring"""







						pass




			def 	lowerCamelCase_       (    self				:		str    ):







						"""simple docstring"""







						pass





			def 	lowerCamelCase_       (    self				:		int    ):







						"""simple docstring"""







						UpperCamelCase								=       self.get_tokenizers(fast=__magic_name__							,							do_lower_case=__magic_name__    )
						for tokenizer in tokenizers:
									with self.subTest(F'{tokenizer.__class__.__name__}'    ):
												UpperCamelCase								=       ["""[CLS]""", """t""", """h""", """i""", """s""", """ """, """i""", """s""", """ """, """a""", """ """, """t""", """e""", """s""", """t""", """[SEP]"""]
												UpperCamelCase								=       tokenizer.convert_tokens_to_string(__magic_name__    )

												self.assertIsInstance(__magic_name__							,							__magic_name__    )






'''simple docstring'''
import enum
import shutil
import sys


lowercase__				, lowercase__											=shutil.get_terminal_size()

lowercase__											={'UP': 'A', 'DOWN': 'B', 'RIGHT': 'C', 'LEFT': 'D'}







class   a_ (      enum.Enum					):
			lowerCamelCase__	:			int       =    0
			lowerCamelCase__	:			Union[str, Any]       =    1







def      UpperCamelCase_				(      A__  ,      A__=""						):
	sys.stdout.write(str(A__						) + end						)
	sys.stdout.flush()






def      UpperCamelCase_				(      A__  ,      A__  ,      A__=""						):
	forceWrite(F'''\u001b[{color}m{content}\u001b[0m'''  ,      A__						)






def      UpperCamelCase_				(      ):
	forceWrite("""\r"""						)






def      UpperCamelCase_				(      A__  ,      A__						):
	forceWrite(F'''\033[{num_lines}{CURSOR_TO_CHAR[direction.upper()]}'''						)






def      UpperCamelCase_				(      ):
	forceWrite(""" """ * TERMINAL_WIDTH						)
	reset_cursor()






def      UpperCamelCase_				(      ):
	reset_cursor()
	forceWrite("""-""" * TERMINAL_WIDTH						)
