
"""simple docstring"""







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__	(     _lowerCamelCase	,					unittest.TestCase):
		A_						:	Union[str, Any]           =     ByTaTokenizer
		A_						:	Union[str, Any]           =     False

		def 							__lowerCamelCase							(				self			):
			super().setUp()
			__lowerCAmelCase      :						Optional[int]						      =				ByTaTokenizer()
			tokenizer.save_pretrained(self.tmpdirname			)

		@cached_property
		def 							__lowerCamelCase							(				self			):
			return ByTaTokenizer.from_pretrained('google/byt5-small'			)

		def 							__lowerCamelCase							(				self	,		**_SCREAMING_SNAKE_CASE			):
			return self.tokenizer_class.from_pretrained(self.tmpdirname	,		**_snake_case			)

		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE=False	,		_SCREAMING_SNAKE_CASE=20	,		_SCREAMING_SNAKE_CASE=5			):
			__lowerCAmelCase      :						List[str]						      =				[]
			for i in range(len(_snake_case			)			):
				try:
					__lowerCAmelCase      :						Union[str, Any]						      =				tokenizer.decode([i]	,		clean_up_tokenization_spaces=_snake_case			)
				except UnicodeDecodeError:
					pass
				toks.append((i, tok)			)

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

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

		def 							__lowerCamelCase							(				self			):
			__lowerCAmelCase      :						Any						      =				self.ta_base_tokenizer
			__lowerCAmelCase      :						Any						      =				tokenizer(['hi</s>', 'I went to the gym</s>', '</s>']			)
			__lowerCAmelCase      :						List[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			):
			__lowerCAmelCase      :						List[str]						      =				self.ta_base_tokenizer
			__lowerCAmelCase      :						Dict						      =				'Unicode €.'
			__lowerCAmelCase      :						str						      =				tokenizer(_snake_case			)
			__lowerCAmelCase      :						List[str]						      =				[88, 1_13, 1_08, 1_02, 1_14, 1_03, 1_04, 35, 2_29, 1_33, 1_75, 49, 1]
			self.assertEqual(encoded['input_ids']	,		_snake_case			)

			# decoding
			__lowerCAmelCase      :						Dict						      =				tokenizer.decode(_snake_case			)
			self.assertEqual(_snake_case	,		'Unicode €.</s>'			)

			__lowerCAmelCase      :						Tuple						      =				tokenizer('e è é ê ë'			)
			__lowerCAmelCase      :						str						      =				[1_04, 35, 1_98, 1_71, 35, 1_98, 1_72, 35, 1_98, 1_73, 35, 1_98, 1_74, 1]
			self.assertEqual(encoded['input_ids']	,		_snake_case			)
			# decoding
			__lowerCAmelCase      :						Optional[Any]						      =				tokenizer.decode(_snake_case			)
			self.assertEqual(_snake_case	,		'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			):
			__lowerCAmelCase      :						Optional[Any]						      =				self.ta_base_tokenizer
			__lowerCAmelCase      :						Optional[int]						      =				['A long paragraph for summarization.', 'Another paragraph for summarization.']
			# fmt: off
			__lowerCAmelCase      :						Dict						      =				[68, 35, 1_11, 1_14, 1_13, 1_06, 35, 1_15, 1_00, 1_17, 1_00, 1_06, 1_17, 1_00, 1_15, 1_07, 35, 1_05, 1_14, 1_17, 35, 1_18, 1_20, 1_12, 1_12, 1_00, 1_17, 1_08, 1_25, 1_00, 1_19, 1_08, 1_14, 1_13, 49, 1, 0]
			# fmt: on
			__lowerCAmelCase      :						List[Any]						      =				tokenizer(_snake_case	,		padding=_snake_case	,		return_tensors=_snake_case			)
			self.assertIsInstance(_snake_case	,		_snake_case			)

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

			self.assertListEqual(_snake_case	,		_snake_case			)

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

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

		def 							__lowerCamelCase							(				self			):
			__lowerCAmelCase      :						Optional[Any]						      =				self.ta_base_tokenizer
			__lowerCAmelCase      :						Union[str, Any]						      =				[
			    'Summary of the text.',
			    'Another summary.',
			]
			__lowerCAmelCase      :						Dict						      =				tokenizer(
			    text_target=_snake_case	,		max_length=32	,		padding='max_length'	,		truncation=_snake_case	,		return_tensors=_snake_case			)
			self.assertEqual(32	,		targets['input_ids'].shape[1]			)

		def 							__lowerCamelCase							(				self			):
			__lowerCAmelCase      :						List[str]						      =				self.ta_base_tokenizer
			__lowerCAmelCase      :						Optional[int]						      =				['A long paragraph for summarization. </s>']
			__lowerCAmelCase      :						Optional[int]						      =				['Summary of the text. </s>']
			# fmt: off
			__lowerCAmelCase      :						List[Any]						      =				[68, 35, 1_11, 1_14, 1_13, 1_06, 35, 1_15, 1_00, 1_17, 1_00, 1_06, 1_17, 1_00, 1_15, 1_07, 35, 1_05, 1_14, 1_17, 35, 1_18, 1_20, 1_12, 1_12, 1_00, 1_17, 1_08, 1_25, 1_00, 1_19, 1_08, 1_14, 1_13, 49, 35, 1]
			__lowerCAmelCase      :						Tuple						      =				[86, 1_20, 1_12, 1_12, 1_00, 1_17, 1_24, 35, 1_14, 1_05, 35, 1_19, 1_07, 1_04, 35, 1_19, 1_04, 1_23, 1_19, 49, 35, 1]
			# fmt: on

			__lowerCAmelCase      :						List[Any]						      =				tokenizer(_snake_case	,		text_target=_snake_case			)

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

		def 							__lowerCamelCase							(				self			):
			__lowerCAmelCase      :						List[str]						      =				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      :						Optional[int]						      =				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      :						List[str]						      =				tempfile.mkdtemp()

					__lowerCAmelCase      :						Optional[int]						      =				' He is very happy, UNwant\u00E9d,running'
					__lowerCAmelCase      :						str						      =				tokenizer.encode(_snake_case	,		add_special_tokens=_snake_case			)
					tokenizer.save_pretrained(_snake_case			)

					__lowerCAmelCase      :						Union[str, Any]						      =				tokenizer.__class__.from_pretrained(_snake_case			)
					__lowerCAmelCase      :						Any						      =				after_tokenizer.encode(_snake_case	,		add_special_tokens=_snake_case			)
					self.assertListEqual(_snake_case	,		_snake_case			)

					shutil.rmtree(_snake_case			)

			__lowerCAmelCase      :						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      :						Tuple						      =				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(_snake_case	,		add_special_tokens=_snake_case			)
					tokenizer.save_pretrained(_snake_case			)

					__lowerCAmelCase      :						Union[str, Any]						      =				tokenizer.__class__.from_pretrained(_snake_case			)
					__lowerCAmelCase      :						Union[str, Any]						      =				after_tokenizer.encode(_snake_case	,		add_special_tokens=_snake_case			)
					self.assertListEqual(_snake_case	,		_snake_case			)
					self.assertIn('new_additional_special_token'	,		after_tokenizer.additional_special_tokens			)
					self.assertEqual(after_tokenizer.model_max_length	,		42			)

					__lowerCAmelCase      :						List[str]						      =				tokenizer.__class__.from_pretrained(_snake_case	,		model_max_length=43			)
					self.assertEqual(tokenizer.model_max_length	,		43			)

					shutil.rmtree(_snake_case			)

		def 							__lowerCamelCase							(				self			):
			__lowerCAmelCase      :						List[Any]						      =				[]
			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(_snake_case			)

					with open(os.path.join(_snake_case	,		'special_tokens_map.json'			)	,		encoding='utf-8'			) as json_file:
						__lowerCAmelCase      :						List[str]						      =				json.load(_snake_case			)

					with open(os.path.join(_snake_case	,		'tokenizer_config.json'			)	,		encoding='utf-8'			) as json_file:
						__lowerCAmelCase      :						int						      =				json.load(_snake_case			)

					__lowerCAmelCase      :						Optional[int]						      =				[f"<extra_id_{i}>" for i in range(1_25			)]

					__lowerCAmelCase      :						List[str]						      =				added_tokens_extra_ids + [
					    'an_additional_special_token'
					]
					__lowerCAmelCase      :						str						      =				added_tokens_extra_ids + [
					    'an_additional_special_token'
					]

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

					# 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(
					    _snake_case	,		)
					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      :						Optional[Any]						      =				added_tokens_extra_ids + [AddedToken('a_new_additional_special_token'	,		lstrip=_snake_case			)]
					__lowerCAmelCase      :						Union[str, Any]						      =				tokenizer_class.from_pretrained(
					    _snake_case	,		additional_special_tokens=_snake_case	,		)

					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			):
			__lowerCAmelCase      :						str						      =				[]
			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(_snake_case			)

					__lowerCAmelCase      :						Union[str, Any]						      =				tokenizer_class.from_pretrained(_snake_case			)

					self.assertTrue(tokenizer.decode([2_55]			) == ''			)

		def 							__lowerCamelCase							(				self			):
			pass

		def 							__lowerCamelCase							(				self			):
			pass

		def 							__lowerCamelCase							(				self			):
			pass

		def 							__lowerCamelCase							(				self			):
			pass

		def 							__lowerCamelCase							(				self			):
			__lowerCAmelCase      :						Union[str, Any]						      =				self.get_tokenizers(fast=_snake_case	,		do_lower_case=_snake_case			)
			for tokenizer in tokenizers:
				with self.subTest(f"{tokenizer.__class__.__name__}"			):
					__lowerCAmelCase      :						Dict						      =				['t', 'h', 'i', 's', ' ', 'i', 's', ' ', 'a', ' ', 't', 'e', 'x', 't', '</s>']
					__lowerCAmelCase      :						Union[str, Any]						      =				tokenizer.convert_tokens_to_string(_snake_case			)

					self.assertIsInstance(_snake_case	,		_snake_case			)







		def 							__lowerCamelCase							(				self			):
			__lowerCAmelCase      :						int						      =				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      :						Any						      =				0
					__lowerCAmelCase      :						int						      =				tokenizer.convert_ids_to_tokens(
					    _snake_case	,		skip_special_tokens=_snake_case			)

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

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

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

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



"""simple docstring"""







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

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




@dataclass(frozen=_lowerCamelCase)
class 			A__	(     _lowerCamelCase):
		# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
		A_						:	str           =     field(default='text-classification'	,					metadata={'include_in_asdict_even_if_is_default': True})
		A_						:	ClassVar[Features]           =     Features({'text': Value('string')})
		A_						:	ClassVar[Features]           =     Features({'labels': ClassLabel})
		A_						:	str           =     "text"
		A_						:	str           =     "labels"

		def 							__lowerCamelCase							(				self	,		_SCREAMING_SNAKE_CASE			):
			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]	,		_SCREAMING_SNAKE_CASE			):
				raise ValueError(f"Column {self.label_column} is not a ClassLabel."			)
			__lowerCAmelCase      :						Any						      =				copy.deepcopy(self			)
			__lowerCAmelCase      :						Dict						      =				self.label_schema.copy()
			__lowerCAmelCase      :						List[Any]						      =				features[self.label_column]
			__lowerCAmelCase      :						Dict						      =				label_schema
			return task_template







		@property
		def 							__lowerCamelCase							(				self			):
			return {
			    self.text_column: "text",
			    self.label_column: "labels",
			}