'''simple docstring'''




from __future__ import annotations

import math
from collections.abc import Callable






def __lowerCAmelCase (							UpperCamelCase__				,  UpperCamelCase__				,  UpperCamelCase__				,  UpperCamelCase__ = 1_00				,  )	->    List[Any]:
    __lowerCamelCase		=  x_start
    __lowerCamelCase		=  fnc(UpperCamelCase__				)
    __lowerCamelCase		=  0.0

    for _ in range(UpperCamelCase__				):
        # Approximates curve as a sequence of linear lines and sums their length
        __lowerCamelCase		=  (x_end - x_start) / steps + xa
        __lowerCamelCase		=  fnc(UpperCamelCase__				)
        length += math.hypot(xa - xa				,  fxa - fxa				)

        # Increment step
        __lowerCamelCase		=  xa
        __lowerCamelCase		=  fxa

    return length


if __name__ == "__main__":






  def __lowerCAmelCase (							UpperCamelCase__				)	->    Optional[int]:
      return math.sin(10 * x				)

  print("f(x) = sin(10 * x)")
  print("The length of the curve from x = -10 to x = 10 is:")
  __UpperCAmelCase     							=1_0
  while i <= 1_0_0_0_0_0:
    print(f'With {i} steps: {line_length(f, -1_0, 1_0, i)}')
    i *= 1_0

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():
		__a  :     Tuple       =  """pt"""
elif is_tf_available():
		__a  :     int       =  """tf"""
else:
		__a  :     Tuple       =  """jax"""




class    _UpperCamelCase      (						_UpperCAmelCase						,unittest.TestCase ):


			"""simple docstring"""






			__a  : List[Any]			 =						ByTaTokenizer
			__a  : str			 =						False





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					List[Any]:

							'''simple docstring'''


							super().setUp()
							__lowercase 			=							ByTaTokenizer()
							tokenizer.save_pretrained(self.tmpdirname						)





			@cached_property
			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					Any:

							'''simple docstring'''


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





			def        _SCREAMING_SNAKE_CASE			(   self      ,   **lowerCAmelCase__						)     ->					ByTaTokenizer:

							'''simple docstring'''


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





			def        _SCREAMING_SNAKE_CASE			(   self      ,   lowerCAmelCase__      ,   lowerCAmelCase__=False      ,   lowerCAmelCase__=20      ,   lowerCAmelCase__=5						)     ->					Tuple[str, list]:

							'''simple docstring'''


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

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

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





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					Tuple:

							'''simple docstring'''


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





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					Dict:

							'''simple docstring'''


							__lowercase 			=							self.ta_base_tokenizer
							__lowercase 			=							'''Unicode €.'''
							__lowercase 			=							tokenizer(lowerCAmelCase__						)
							__lowercase 			=							[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''']      ,   lowerCAmelCase__						)

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

							__lowercase 			=							tokenizer('''e è é ê ë'''						)
							__lowercase 			=							[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''']      ,   lowerCAmelCase__						)
							# decoding
							__lowercase 			=							tokenizer.decode(lowerCAmelCase__						)
							self.assertEqual(lowerCAmelCase__      ,   '''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        _SCREAMING_SNAKE_CASE			(   self						)     ->					List[Any]:

							'''simple docstring'''


							__lowercase 			=							self.ta_base_tokenizer
							__lowercase 			=							['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
							# fmt: off
							__lowercase 			=							[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
							__lowercase 			=							tokenizer(lowerCAmelCase__      ,   padding=lowerCAmelCase__      ,   return_tensors=lowerCAmelCase__						)
							self.assertIsInstance(lowerCAmelCase__      ,   lowerCAmelCase__						)

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

							self.assertListEqual(lowerCAmelCase__      ,   lowerCAmelCase__						)

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





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					int:

							'''simple docstring'''


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





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					Tuple:

							'''simple docstring'''


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





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					int:

							'''simple docstring'''


							__lowercase 			=							self.ta_base_tokenizer
							__lowercase 			=							['''A long paragraph for summarization. </s>''']
							__lowercase 			=							['''Summary of the text. </s>''']
							# fmt: off
							__lowercase 			=							[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]
							__lowercase 			=							[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

							__lowercase 			=							tokenizer(lowerCAmelCase__      ,   text_target=lowerCAmelCase__						)

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





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					List[str]:

							'''simple docstring'''


							__lowercase 			=							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
							__lowercase 			=							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
															__lowercase 			=							tempfile.mkdtemp()

															__lowercase 			=							''' He is very happy, UNwant\u00E9d,running'''
															__lowercase 			=							tokenizer.encode(lowerCAmelCase__      ,   add_special_tokens=lowerCAmelCase__						)
															tokenizer.save_pretrained(lowerCAmelCase__						)

															__lowercase 			=							tokenizer.__class__.from_pretrained(lowerCAmelCase__						)
															__lowercase 			=							after_tokenizer.encode(lowerCAmelCase__      ,   add_special_tokens=lowerCAmelCase__						)
															self.assertListEqual(lowerCAmelCase__      ,   lowerCAmelCase__						)

															shutil.rmtree(lowerCAmelCase__						)

							__lowercase 			=							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
															__lowercase 			=							tempfile.mkdtemp()

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

															__lowercase 			=							tokenizer.__class__.from_pretrained(lowerCAmelCase__						)
															__lowercase 			=							after_tokenizer.encode(lowerCAmelCase__      ,   add_special_tokens=lowerCAmelCase__						)
															self.assertListEqual(lowerCAmelCase__      ,   lowerCAmelCase__						)
															self.assertIn('''new_additional_special_token'''      ,   after_tokenizer.additional_special_tokens						)
															self.assertEqual(after_tokenizer.model_max_length      ,   42						)

															__lowercase 			=							tokenizer.__class__.from_pretrained(lowerCAmelCase__      ,   model_max_length=43						)
															self.assertEqual(tokenizer.model_max_length      ,   43						)

															shutil.rmtree(lowerCAmelCase__						)





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					Dict:

							'''simple docstring'''


							__lowercase 			=							[]
							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(lowerCAmelCase__						)

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

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

															__lowercase 			=							[F"<extra_id_{i}>" for i in range(1_25						)]

															__lowercase 			=							added_tokens_extra_ids + [
															    '''an_additional_special_token'''
															]
															__lowercase 			=							added_tokens_extra_ids + [
															    '''an_additional_special_token'''
															]

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

															# 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
															__lowercase 			=							tokenizer_class.from_pretrained(
															    lowerCAmelCase__      ,   )
															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
															__lowercase 			=							added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''      ,   lstrip=lowerCAmelCase__						)]
															__lowercase 			=							tokenizer_class.from_pretrained(
															    lowerCAmelCase__      ,   additional_special_tokens=lowerCAmelCase__      ,   )

															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        _SCREAMING_SNAKE_CASE			(   self						)     ->					List[str]:

							'''simple docstring'''


							__lowercase 			=							[]
							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(lowerCAmelCase__						)

															__lowercase 			=							tokenizer_class.from_pretrained(lowerCAmelCase__						)

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





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					Optional[int]:

							'''simple docstring'''


							pass





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					Union[str, Any]:

							'''simple docstring'''


							pass





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					int:

							'''simple docstring'''


							pass





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					str:

							'''simple docstring'''


							pass





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					Optional[int]:

							'''simple docstring'''


							__lowercase 			=							self.get_tokenizers(fast=lowerCAmelCase__      ,   do_lower_case=lowerCAmelCase__						)
							for tokenizer in tokenizers:
											with self.subTest(F"{tokenizer.__class__.__name__}"						):
															__lowercase 			=							['''t''', '''h''', '''i''', '''s''', ''' ''', '''i''', '''s''', ''' ''', '''a''', ''' ''', '''t''', '''e''', '''x''', '''t''', '''</s>''']
															__lowercase 			=							tokenizer.convert_tokens_to_string(lowerCAmelCase__						)

															self.assertIsInstance(lowerCAmelCase__      ,   lowerCAmelCase__						)





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					int:

							'''simple docstring'''


							__lowercase 			=							self.get_tokenizers()
							for tokenizer in tokenizers:
											with self.subTest(F"{tokenizer.__class__.__name__}"						):
															__lowercase 			=							[
															    '''bos_token''',
															    '''eos_token''',
															    '''unk_token''',
															    '''sep_token''',
															    '''pad_token''',
															    '''cls_token''',
															    '''mask_token''',
															]

															__lowercase 			=							0
															__lowercase 			=							tokenizer.convert_ids_to_tokens(
															    lowerCAmelCase__      ,   skip_special_tokens=lowerCAmelCase__						)

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

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

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

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