
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():
		lowercase        =  '''pt'''
elif is_tf_available():
		lowercase        =  '''tf'''
else:
		lowercase        =  '''jax'''





class       __A(				UpperCAmelCase     ,		unittest.TestCase       ):
					SCREAMING_SNAKE_CASE			    =    PerceiverTokenizer
					SCREAMING_SNAKE_CASE			    =    False

					def    lowercase__      (	self					:     Any   ):
												super().setUp()
												lowerCamelCase_							  =					PerceiverTokenizer()
												tokenizer.save_pretrained(self.tmpdirname   )

					@cached_property
					def    lowercase__      (	self					:     int   ):
												return PerceiverTokenizer.from_pretrained("""deepmind/language-perceiver"""   )

					def    lowercase__      (	self					:     Optional[int]   ,					**__UpperCamelCase					:     Optional[int]   ):
												return self.tokenizer_class.from_pretrained(self.tmpdirname   ,					**__UpperCamelCase   )

					def    lowercase__      (	self					:     int   ,					__UpperCamelCase					:     int   ,					__UpperCamelCase					:     Union[str, Any]=False   ,					__UpperCamelCase					:     Optional[int]=2_0   ,					__UpperCamelCase					:     int=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.

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

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

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

					def    lowercase__      (	self					:     Optional[int]   ):
												lowerCamelCase_							  =					self.perceiver_tokenizer
												lowerCamelCase_							  =					"""Unicode €."""
												lowerCamelCase_							  =					tokenizer(__UpperCamelCase   )
												lowerCamelCase_							  =					[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"""]   ,					__UpperCamelCase   )

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

												lowerCamelCase_							  =					tokenizer("""e è é ê ë"""   )
												lowerCamelCase_							  =					[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"""]   ,					__UpperCamelCase   )
												# decoding
												lowerCamelCase_							  =					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    lowercase__      (	self					:     str   ):
												lowerCamelCase_							  =					self.perceiver_tokenizer
												lowerCamelCase_							  =					["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
												# fmt: off
												lowerCamelCase_							  =					[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
												lowerCamelCase_							  =					tokenizer(__UpperCamelCase   ,					padding=__UpperCamelCase   ,					return_tensors=__UpperCamelCase   )
												self.assertIsInstance(__UpperCamelCase   ,					__UpperCamelCase   )

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

												self.assertListEqual(__UpperCamelCase   ,					__UpperCamelCase   )

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

					def    lowercase__      (	self					:     List[Any]   ):
												lowerCamelCase_							  =					self.perceiver_tokenizer
												lowerCamelCase_							  =					["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
												lowerCamelCase_							  =					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    lowercase__      (	self					:     int   ):
												lowerCamelCase_							  =					self.perceiver_tokenizer
												lowerCamelCase_							  =					[
												    """Summary of the text.""",
												    """Another summary.""",
												]
												lowerCamelCase_							  =					tokenizer(
												    text_target=__UpperCamelCase   ,					max_length=3_2   ,					padding="""max_length"""   ,					truncation=__UpperCamelCase   ,					return_tensors=__UpperCamelCase   )
												self.assertEqual(3_2   ,					targets["""input_ids"""].shape[1]   )

					def    lowercase__      (	self					:     Tuple   ):
												# safety check on max_len default value so we are sure the test works
												lowerCamelCase_							  =					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
												lowerCamelCase_							  =					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
																										lowerCamelCase_							  =					tempfile.mkdtemp()

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

																										lowerCamelCase_							  =					tokenizer.__class__.from_pretrained(__UpperCamelCase   )
																										lowerCamelCase_							  =					after_tokenizer.encode(__UpperCamelCase   ,					add_special_tokens=__UpperCamelCase   )
																										self.assertListEqual(__UpperCamelCase   ,					__UpperCamelCase   )

																										shutil.rmtree(__UpperCamelCase   )

												lowerCamelCase_							  =					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
																										lowerCamelCase_							  =					tempfile.mkdtemp()

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

																										lowerCamelCase_							  =					tokenizer.__class__.from_pretrained(__UpperCamelCase   )
																										lowerCamelCase_							  =					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   ,					4_2   )

																										lowerCamelCase_							  =					tokenizer.__class__.from_pretrained(__UpperCamelCase   ,					model_max_length=4_3   )
																										self.assertEqual(tokenizer.model_max_length   ,					4_3   )

																										shutil.rmtree(__UpperCamelCase   )

					def    lowercase__      (	self					:     Optional[int]   ):
												lowerCamelCase_							  =					[]
												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:
																																	lowerCamelCase_							  =					json.load(__UpperCamelCase   )

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

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

																										lowerCamelCase_							  =					added_tokens_extra_ids + [
																										    """an_additional_special_token"""
																										]
																										lowerCamelCase_							  =					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
																										lowerCamelCase_							  =					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
																										lowerCamelCase_							  =					added_tokens_extra_ids + [AddedToken("""a_new_additional_special_token"""   ,					lstrip=__UpperCamelCase   )]
																										lowerCamelCase_							  =					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    lowercase__      (	self					:     int   ):
												lowerCamelCase_							  =					self.perceiver_tokenizer
												self.assertEqual(tokenizer.decode([1_7_8]   )   ,					"""�"""   )

					def    lowercase__      (	self					:     List[str]   ):
												pass

					def    lowercase__      (	self					:     Tuple   ):
												pass

					def    lowercase__      (	self					:     Tuple   ):
												pass

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



					def    lowercase__      (	self					:     int   ):
												# The default common tokenizer tests uses invalid tokens for Perceiver that can only accept one-character
												# strings and special added tokens as tokens
												lowerCamelCase_							  =					self.get_tokenizers(fast=__UpperCamelCase   ,					do_lower_case=__UpperCamelCase   )
												for tokenizer in tokenizers:
																			with self.subTest(F'''{tokenizer.__class__.__name__}'''   ):
																										lowerCamelCase_							  =					["""[CLS]""", """t""", """h""", """i""", """s""", """ """, """i""", """s""", """ """, """a""", """ """, """t""", """e""", """s""", """t""", """[SEP]"""]
																										lowerCamelCase_							  =					tokenizer.convert_tokens_to_string(__UpperCamelCase   )

																										self.assertIsInstance(__UpperCamelCase   ,					__UpperCamelCase   )







from ..utils import DummyObject, requires_backends





class       __A(				metaclass=UpperCAmelCase       ):
					SCREAMING_SNAKE_CASE			    =    ['''torch''', '''scipy''']

					def __init__(	self					:     Any   ,					*__UpperCamelCase					:     str   ,					**__UpperCamelCase					:     Any   ):
												requires_backends(self   ,					["""torch""", """scipy"""]   )

					@classmethod
					def    lowercase__      (	cls					:     Dict   ,					*__UpperCamelCase					:     str   ,					**__UpperCamelCase					:     Dict   ):
												requires_backends(cls   ,					["""torch""", """scipy"""]   )



					@classmethod
					def    lowercase__      (	cls					:     str   ,					*__UpperCamelCase					:     Optional[int]   ,					**__UpperCamelCase					:     Optional[int]   ):
												requires_backends(cls   ,					["""torch""", """scipy"""]   )





