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

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

from ...test_tokenization_common import TokenizerTesterMixin


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







class      A__							(     __magic_name__						,   unittest.TestCase	):
				lowercase			    =  ByTaTokenizer
				lowercase			    =  False






				def 							_lowerCamelCase		(						self					:      str   ):






							'''simple docstring'''







							super().setUp()
							lowerCAmelCase__      :      List[Any]         =		ByTaTokenizer()
							tokenizer.save_pretrained(self.tmpdirname   )






				@cached_property
				def 							_lowerCamelCase		(						self					:      List[str]   ):






							'''simple docstring'''







							return ByTaTokenizer.from_pretrained('google/byt5-small'   )






				def 							_lowerCamelCase		(						self					:      Union[str, Any]    ,     **a					:      Any   ):






							'''simple docstring'''







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






				def 							_lowerCamelCase		(						self					:      Any    ,     a					:      List[Any]    ,     a					:      str=False    ,     a					:      Optional[int]=20    ,     a					:      Dict=5   ):






							'''simple docstring'''







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

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

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






				def 							_lowerCamelCase		(						self					:      List[str]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      List[Any]         =		self.ta_base_tokenizer
							lowerCAmelCase__      :      List[str]         =		tokenizer(['hi</s>', 'I went to the gym</s>', '</s>']   )
							lowerCAmelCase__      :      str         =		tokenizer(['hi', 'I went to the gym', '']   )
							self.assertListEqual(batch_with_eos_added['input_ids']    ,     batch_without_eos_added['input_ids']   )






				def 							_lowerCamelCase		(						self					:      List[Any]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      List[Any]         =		self.ta_base_tokenizer
							lowerCAmelCase__      :      Tuple         =		'Unicode €.'
							lowerCAmelCase__      :      int         =		tokenizer(a   )
							lowerCAmelCase__      :      Tuple         =		[88, 113, 108, 102, 114, 103, 104, 35, 229, 133, 175, 49, 1]
							self.assertEqual(encoded['input_ids']    ,     a   )

							# decoding
							lowerCAmelCase__      :      int         =		tokenizer.decode(a   )
							self.assertEqual(a    ,     'Unicode €.</s>'   )

							lowerCAmelCase__      :      int         =		tokenizer('e è é ê ë'   )
							lowerCAmelCase__      :      Dict         =		[104, 35, 198, 171, 35, 198, 172, 35, 198, 173, 35, 198, 174, 1]
							self.assertEqual(encoded['input_ids']    ,     a   )
							# decoding
							lowerCAmelCase__      :      int         =		tokenizer.decode(a   )
							self.assertEqual(a    ,     'e è é ê ë</s>'   )

							# encode/decode, but with `encode` instead of `__call__`
							self.assertEqual(tokenizer.decode(tokenizer.encode('e è é ê ë'   )   )    ,     'e è é ê ë</s>'   )






				def 							_lowerCamelCase		(						self					:      int   ):






							'''simple docstring'''







							lowerCAmelCase__      :      int         =		self.ta_base_tokenizer
							lowerCAmelCase__      :      Optional[Any]         =		['A long paragraph for summarization.', 'Another paragraph for summarization.']
							# fmt: off
							lowerCAmelCase__      :      str         =		[68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 1, 0]
							# fmt: on
							lowerCAmelCase__      :      Dict         =		tokenizer(a    ,     padding=a    ,     return_tensors=a   )
							self.assertIsInstance(a    ,     a   )

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

							self.assertListEqual(a    ,     a   )

							self.assertEqual((2, 37)    ,     batch.input_ids.shape   )
							self.assertEqual((2, 37)    ,     batch.attention_mask.shape   )






				def 							_lowerCamelCase		(						self					:      List[Any]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Union[str, Any]         =		self.ta_base_tokenizer
							lowerCAmelCase__      :      List[Any]         =		['A long paragraph for summarization.', 'Another paragraph for summarization.']
							lowerCAmelCase__      :      Any         =		tokenizer(a    ,     padding=a    ,     return_tensors=a   )
							# check if input_ids are returned and no decoder_input_ids
							self.assertIn('input_ids'    ,     a   )
							self.assertIn('attention_mask'    ,     a   )
							self.assertNotIn('decoder_input_ids'    ,     a   )
							self.assertNotIn('decoder_attention_mask'    ,     a   )






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






							'''simple docstring'''







							lowerCAmelCase__      :      List[str]         =		self.ta_base_tokenizer
							lowerCAmelCase__      :      Tuple         =		[
							    'Summary of the text.',
							    'Another summary.',
							]
							lowerCAmelCase__      :      Any         =		tokenizer(
							    text_target=a    ,     max_length=32    ,     padding='max_length'    ,     truncation=a    ,     return_tensors=a   )
							self.assertEqual(32    ,     targets['input_ids'].shape[1]   )






				def 							_lowerCamelCase		(						self					:      int   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Optional[Any]         =		self.ta_base_tokenizer
							lowerCAmelCase__      :      str         =		['A long paragraph for summarization. </s>']
							lowerCAmelCase__      :      Optional[Any]         =		['Summary of the text. </s>']
							# fmt: off
							lowerCAmelCase__      :      Optional[int]         =		[68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 35, 1]
							lowerCAmelCase__      :      Union[str, Any]         =		[86, 120, 112, 112, 100, 117, 124, 35, 114, 105, 35, 119, 107, 104, 35, 119, 104, 123, 119, 49, 35, 1]
							# fmt: on

							lowerCAmelCase__      :      str         =		tokenizer(a    ,     text_target=a   )

							self.assertEqual(a    ,     batch['input_ids'][0]   )
							self.assertEqual(a    ,     batch['labels'][0]   )






				def 							_lowerCamelCase		(						self					:      Optional[int]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      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
							lowerCAmelCase__      :      List[str]         =		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__      :      Any         =		tempfile.mkdtemp()

													lowerCAmelCase__      :      str         =		' He is very happy, UNwant\u00E9d,running'
													lowerCAmelCase__      :      Any         =		tokenizer.encode(a    ,     add_special_tokens=a   )
													tokenizer.save_pretrained(a   )

													lowerCAmelCase__      :      Dict         =		tokenizer.__class__.from_pretrained(a   )
													lowerCAmelCase__      :      List[Any]         =		after_tokenizer.encode(a    ,     add_special_tokens=a   )
													self.assertListEqual(a    ,     a   )

													shutil.rmtree(a   )

							lowerCAmelCase__      :      Optional[int]         =		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
													lowerCAmelCase__      :      int         =		tempfile.mkdtemp()

													lowerCAmelCase__      :      Union[str, Any]         =		' He is very happy, UNwant\u00E9d,running'
													tokenizer.add_tokens(['bim', 'bambam']   )
													lowerCAmelCase__      :      Optional[Any]         =		tokenizer.additional_special_tokens
													additional_special_tokens.append('new_additional_special_token'   )
													tokenizer.add_special_tokens({'additional_special_tokens': additional_special_tokens}   )
													lowerCAmelCase__      :      Dict         =		tokenizer.encode(a    ,     add_special_tokens=a   )
													tokenizer.save_pretrained(a   )

													lowerCAmelCase__      :      List[Any]         =		tokenizer.__class__.from_pretrained(a   )
													lowerCAmelCase__      :      Dict         =		after_tokenizer.encode(a    ,     add_special_tokens=a   )
													self.assertListEqual(a    ,     a   )
													self.assertIn('new_additional_special_token'    ,     after_tokenizer.additional_special_tokens   )
													self.assertEqual(after_tokenizer.model_max_length    ,     42   )

													lowerCAmelCase__      :      str         =		tokenizer.__class__.from_pretrained(a    ,     model_max_length=43   )
													self.assertEqual(tokenizer.model_max_length    ,     43   )

													shutil.rmtree(a   )






				def 							_lowerCamelCase		(						self					:      Optional[Any]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      Tuple         =		[]
							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(a   )

													with open(os.path.join(a    ,     'special_tokens_map.json'   )    ,     encoding='utf-8'   ) as json_file:
																lowerCAmelCase__      :      int         =		json.load(a   )

													with open(os.path.join(a    ,     'tokenizer_config.json'   )    ,     encoding='utf-8'   ) as json_file:
																lowerCAmelCase__      :      Optional[Any]         =		json.load(a   )

													lowerCAmelCase__      :      List[Any]         =		[f'''<extra_id_{i}>''' for i in range(125   )]

													lowerCAmelCase__      :      Dict         =		added_tokens_extra_ids + [
													    'an_additional_special_token'
													]
													lowerCAmelCase__      :      Optional[int]         =		added_tokens_extra_ids + [
													    'an_additional_special_token'
													]

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

													# 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__      :      int         =		tokenizer_class.from_pretrained(
													    a    ,     )
													self.assertIn(
													    'an_additional_special_token'    ,     tokenizer_without_change_in_init.additional_special_tokens   )
													# self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
													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__      :      str         =		added_tokens_extra_ids + [AddedToken('a_new_additional_special_token'    ,     lstrip=a   )]
													lowerCAmelCase__      :      Tuple         =		tokenizer_class.from_pretrained(
													    a    ,     additional_special_tokens=a    ,     )

													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					:      Optional[Any]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      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(a   )

													lowerCAmelCase__      :      List[str]         =		tokenizer_class.from_pretrained(a   )

													self.assertTrue(tokenizer.decode([255]   ) == ''   )






				def 							_lowerCamelCase		(						self					:      Optional[int]   ):






							'''simple docstring'''







							pass






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






							'''simple docstring'''







							pass






				def 							_lowerCamelCase		(						self					:      Dict   ):






							'''simple docstring'''







							pass






				def 							_lowerCamelCase		(						self					:      Any   ):






							'''simple docstring'''







							pass






				def 							_lowerCamelCase		(						self					:      Optional[Any]   ):






							'''simple docstring'''







							lowerCAmelCase__      :      int         =		self.get_tokenizers(fast=a    ,     do_lower_case=a   )
							for tokenizer in tokenizers:
										with self.subTest(f'''{tokenizer.__class__.__name__}'''   ):
													lowerCAmelCase__      :      List[str]         =		['t', 'h', 'i', 's', ' ', 'i', 's', ' ', 'a', ' ', 't', 'e', 'x', 't', '</s>']
													lowerCAmelCase__      :      Optional[Any]         =		tokenizer.convert_tokens_to_string(a   )

													self.assertIsInstance(a    ,     a   )






				def 							_lowerCamelCase		(						self					:      int   ):






							'''simple docstring'''







							lowerCAmelCase__      :      str         =		self.get_tokenizers()
							for tokenizer in tokenizers:
										with self.subTest(f'''{tokenizer.__class__.__name__}'''   ):
													lowerCAmelCase__      :      List[Any]         =		[
													    'bos_token',
													    'eos_token',
													    'unk_token',
													    'sep_token',
													    'pad_token',
													    'cls_token',
													    'mask_token',
													]

													lowerCAmelCase__      :      List[Any]         =		0
													lowerCAmelCase__      :      Dict         =		tokenizer.convert_ids_to_tokens(
													    a    ,     skip_special_tokens=a   )

													for attr in attributes_list:
																setattr(a    ,     attr + '_id'    ,     a   )
																self.assertEqual(getattr(a    ,     a   )    ,     a   )
																self.assertEqual(getattr(a    ,     attr + '_id'   )    ,     a   )

																setattr(a    ,     attr + '_id'    ,     a   )
																self.assertEqual(getattr(a    ,     a   )    ,     a   )
																self.assertEqual(getattr(a    ,     attr + '_id'   )    ,     a   )

													setattr(a    ,     'additional_special_tokens_ids'    ,     []   )
													self.assertListEqual(getattr(a    ,     'additional_special_tokens'   )    ,     []   )
													self.assertListEqual(getattr(a    ,     'additional_special_tokens_ids'   )    ,     []   )

													setattr(a    ,     'additional_special_tokens_ids'    ,     [token_id_to_test_setters]   )
													self.assertListEqual(getattr(a    ,     'additional_special_tokens'   )    ,     [token_to_test_setters]   )
													self.assertListEqual(getattr(a    ,     'additional_special_tokens_ids'   )    ,     [token_id_to_test_setters]   )

import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate







@dataclass(frozen=__magic_name__	)
class      A__							(     __magic_name__	):
				lowercase			    =  field(default='audio-classification'						,   metadata={'include_in_asdict_even_if_is_default': True}	)
				lowercase			    =  Features({'audio': Audio()}	)
				lowercase			    =  Features({'labels': ClassLabel}	)
				lowercase			    =  "audio"
				lowercase			    =  "labels"






				def 							_lowerCamelCase		(						self					:      Dict    ,     a					:      Tuple   ):






							'''simple docstring'''







							if self.label_column not in features:
										raise ValueError(f'''Column {self.label_column} is not present in features.'''   )
							if not isinstance(features[self.label_column]    ,     a   ):
										raise ValueError(f'''Column {self.label_column} is not a ClassLabel.'''   )
							lowerCAmelCase__      :      Tuple         =		copy.deepcopy(self   )
							lowerCAmelCase__      :      List[Any]         =		self.label_schema.copy()
							lowerCAmelCase__      :      List[Any]         =		features[self.label_column]
							lowerCAmelCase__      :      Optional[int]         =		label_schema
							return task_template






				@property
				def 							_lowerCamelCase		(						self					:      List[str]   ):






							'''simple docstring'''







							return {
							    self.audio_column: "audio",
							    self.label_column: "labels",
							}