




import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class       __lowerCAmelCase				(							lowerCAmelCase					,       unittest.TestCase):
       _a           =  LongformerTokenizer
       _a           =  True
       _a           =  LongformerTokenizerFast
       _a           =  True






       def     SCREAMING_SNAKE_CASE			(      self:    Any ):
         super().setUp()

         # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
         lowercase			:str							=  [
             "l",
             "o",
             "w",
             "e",
             "r",
             "s",
             "t",
             "i",
             "d",
             "n",
             "\u0120",
             "\u0120l",
             "\u0120n",
             "\u0120lo",
             "\u0120low",
             "er",
             "\u0120lowest",
             "\u0120newer",
             "\u0120wider",
             "<unk>",
         ]
         lowercase			:Optional[Any]							=  dict(zip(_lowerCAmelCase				,    range(len(_lowerCAmelCase ) ) ) )
         lowercase			:Dict							=  ["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
         lowercase			:str							=  {"unk_token": "<unk>"}

         lowercase			:Any							=  os.path.join(self.tmpdirname				,    VOCAB_FILES_NAMES["vocab_file"] )
         lowercase			:str							=  os.path.join(self.tmpdirname				,    VOCAB_FILES_NAMES["merges_file"] )
         with open(self.vocab_file				,    "w"				,    encoding="utf-8" ) as fp:
           fp.write(json.dumps(_lowerCAmelCase ) + "\n" )
         with open(self.merges_file				,    "w"				,    encoding="utf-8" ) as fp:
           fp.write("\n".join(_lowerCAmelCase ) )






       def     SCREAMING_SNAKE_CASE			(      self:    Dict				,    **_lowerCAmelCase:    Any ):
         kwargs.update(self.special_tokens_map )
         return self.tokenizer_class.from_pretrained(self.tmpdirname				,    **_lowerCAmelCase )






       def     SCREAMING_SNAKE_CASE			(      self:    List[Any]				,    **_lowerCAmelCase:    Optional[int] ):
         kwargs.update(self.special_tokens_map )
         return self.rust_tokenizer_class.from_pretrained(self.tmpdirname				,    **_lowerCAmelCase )






       def     SCREAMING_SNAKE_CASE			(      self:    Optional[int]				,    _lowerCAmelCase:    List[Any] ):
         lowercase			:int							=  "lower newer"
         lowercase			:int							=  "lower newer"
         return input_text, output_text






       def     SCREAMING_SNAKE_CASE			(      self:    Tuple ):
         lowercase			:List[Any]							=  self.tokenizer_class(self.vocab_file				,    self.merges_file				,    **self.special_tokens_map )
         lowercase			:Dict							=  "lower newer"
         lowercase			:Any							=  ["l", "o", "w", "er", "\u0120", "n", "e", "w", "er"]
         lowercase			:Any							=  tokenizer.tokenize(_lowerCAmelCase )  # , add_prefix_space=True)
         self.assertListEqual(_lowerCAmelCase				,    _lowerCAmelCase )

         lowercase			:Tuple							=  tokens + [tokenizer.unk_token]
         lowercase			:Union[str, Any]							=  [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCAmelCase )				,    _lowerCAmelCase )






       def     SCREAMING_SNAKE_CASE			(      self:    Union[str, Any] ):
         lowercase			:List[Any]							=  self.get_tokenizer()

         self.assertListEqual(tokenizer.encode("Hello world!"				,    add_special_tokens=_lowerCAmelCase )				,    [0, 3_14_14, 2_32, 3_28, 2] )
         self.assertListEqual(
             tokenizer.encode("Hello world! cécé herlolip 418"				,    add_special_tokens=_lowerCAmelCase )				,    [0, 3_14_14, 2_32, 3_28, 7_40, 11_40, 1_26_95, 69, 4_60_78, 15_88, 2]				,    )






       @slow
       def     SCREAMING_SNAKE_CASE			(      self:    Optional[int] ):
         lowercase			:Optional[Any]							=  self.tokenizer_class.from_pretrained("allenai/longformer-base-4096" )

         lowercase			:Any							=  tokenizer.encode("sequence builders"				,    add_special_tokens=_lowerCAmelCase )
         lowercase			:Optional[int]							=  tokenizer.encode("multi-sequence build"				,    add_special_tokens=_lowerCAmelCase )

         lowercase			:Dict							=  tokenizer.encode(
             "sequence builders"				,    add_special_tokens=_lowerCAmelCase				,    add_prefix_space=_lowerCAmelCase )
         lowercase			:Tuple							=  tokenizer.encode(
             "sequence builders"				,    "multi-sequence build"				,    add_special_tokens=_lowerCAmelCase				,    add_prefix_space=_lowerCAmelCase )

         lowercase			:Any							=  tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase )
         lowercase			:int							=  tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase				,    _lowerCAmelCase )

         assert encoded_sentence == encoded_text_from_decode
         assert encoded_pair == encoded_pair_from_decode






       def     SCREAMING_SNAKE_CASE			(      self:    Union[str, Any] ):
         lowercase			:Optional[Any]							=  self.get_tokenizer()

         lowercase			:int							=  "Encode this sequence."
         lowercase			:str							=  tokenizer.byte_encoder[" ".encode("utf-8" )[0]]

         # Testing encoder arguments
         lowercase			:List[Any]							=  tokenizer.encode(_lowerCAmelCase				,    add_special_tokens=_lowerCAmelCase				,    add_prefix_space=_lowerCAmelCase )
         lowercase			:List[str]							=  tokenizer.convert_ids_to_tokens(encoded[0] )[0]
         self.assertNotEqual(_lowerCAmelCase				,    _lowerCAmelCase )

         lowercase			:int							=  tokenizer.encode(_lowerCAmelCase				,    add_special_tokens=_lowerCAmelCase				,    add_prefix_space=_lowerCAmelCase )
         lowercase			:Optional[int]							=  tokenizer.convert_ids_to_tokens(encoded[0] )[0]
         self.assertEqual(_lowerCAmelCase				,    _lowerCAmelCase )

         tokenizer.add_special_tokens({"bos_token": "<s>"} )
         lowercase			:Any							=  tokenizer.encode(_lowerCAmelCase				,    add_special_tokens=_lowerCAmelCase )
         lowercase			:str							=  tokenizer.convert_ids_to_tokens(encoded[1] )[0]
         self.assertNotEqual(_lowerCAmelCase				,    _lowerCAmelCase )

         # Testing spaces after special tokens
         lowercase			:str							=  "<mask>"
         tokenizer.add_special_tokens(
             {"mask_token": AddedToken(_lowerCAmelCase				,    lstrip=_lowerCAmelCase				,    rstrip=_lowerCAmelCase )} )  # mask token has a left space
         lowercase			:Dict							=  tokenizer.convert_tokens_to_ids(_lowerCAmelCase )

         lowercase			:Optional[int]							=  "Encode <mask> sequence"
         lowercase			:Optional[int]							=  "Encode <mask>sequence"

         lowercase			:Any							=  tokenizer.encode(_lowerCAmelCase )
         lowercase			:List[str]							=  encoded.index(_lowerCAmelCase )
         lowercase			:List[Any]							=  tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1] )[0]
         self.assertEqual(_lowerCAmelCase				,    _lowerCAmelCase )

         lowercase			:str							=  tokenizer.encode(_lowerCAmelCase )
         lowercase			:str							=  encoded.index(_lowerCAmelCase )
         lowercase			:Dict							=  tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1] )[0]
         self.assertNotEqual(_lowerCAmelCase				,    _lowerCAmelCase )






       def     SCREAMING_SNAKE_CASE			(      self:    Union[str, Any] ):
         pass






       def     SCREAMING_SNAKE_CASE			(      self:    Dict ):
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})" ):
             lowercase			:Any							=  self.rust_tokenizer_class.from_pretrained(_lowerCAmelCase				,    **_lowerCAmelCase )
             lowercase			:Union[str, Any]							=  self.tokenizer_class.from_pretrained(_lowerCAmelCase				,    **_lowerCAmelCase )
             lowercase			:int							=  "A, <mask> AllenNLP sentence."
             lowercase			:Optional[Any]							=  tokenizer_r.encode_plus(_lowerCAmelCase				,    add_special_tokens=_lowerCAmelCase				,    return_token_type_ids=_lowerCAmelCase )
             lowercase			:Optional[int]							=  tokenizer_p.encode_plus(_lowerCAmelCase				,    add_special_tokens=_lowerCAmelCase				,    return_token_type_ids=_lowerCAmelCase )

             # token_type_ids should put 0 everywhere
             self.assertEqual(sum(tokens_r["token_type_ids"] )				,    sum(tokens_p["token_type_ids"] ) )

             # attention_mask should put 1 everywhere, so sum over length should be 1
             self.assertEqual(
                 sum(tokens_r["attention_mask"] ) / len(tokens_r["attention_mask"] )				,    sum(tokens_p["attention_mask"] ) / len(tokens_p["attention_mask"] )				,    )

             lowercase			:Optional[Any]							=  tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"] )
             lowercase			:Tuple							=  tokenizer_p.convert_ids_to_tokens(tokens_p["input_ids"] )

             # Rust correctly handles the space before the mask while python doesnt
             self.assertSequenceEqual(tokens_p["input_ids"]				,    [0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2] )
             self.assertSequenceEqual(tokens_r["input_ids"]				,    [0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2] )

             self.assertSequenceEqual(
                 _lowerCAmelCase				,    ["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"] )
             self.assertSequenceEqual(
                 _lowerCAmelCase				,    ["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"] )






       def     SCREAMING_SNAKE_CASE			(      self:    str ):
         for trim_offsets, add_prefix_space in itertools.product([True, False]				,    repeat=2 ):
           lowercase			:Any							=  self.rust_tokenizer_class.from_pretrained(
               self.tmpdirname				,    use_fast=_lowerCAmelCase				,    add_prefix_space=_lowerCAmelCase				,    trim_offsets=_lowerCAmelCase )

           lowercase			:List[str]							=  json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__() )
           lowercase			:List[Any]							=  json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__() )

           self.assertEqual(pre_tokenizer_state["add_prefix_space"]				,    _lowerCAmelCase )

           self.assertEqual(post_processor_state["add_prefix_space"]				,    _lowerCAmelCase )
           self.assertEqual(post_processor_state["trim_offsets"]				,    _lowerCAmelCase )






       def     SCREAMING_SNAKE_CASE			(      self:    Any ):
         # Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
         # `trim_offsets`
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})" ):
             lowercase			:Tuple							=  "hello"  # `hello` is a token in the vocabulary of `pretrained_name`
             lowercase			:Optional[Any]							=  F"{text_of_1_token} {text_of_1_token}"

             lowercase			:Tuple							=  self.rust_tokenizer_class.from_pretrained(
                 _lowerCAmelCase				,    use_fast=_lowerCAmelCase				,    add_prefix_space=_lowerCAmelCase				,    trim_offsets=_lowerCAmelCase )
             lowercase			:Any							=  tokenizer_r(_lowerCAmelCase				,    return_offsets_mapping=_lowerCAmelCase				,    add_special_tokens=_lowerCAmelCase )
             self.assertEqual(encoding.offset_mapping[0]				,    (0, len(_lowerCAmelCase )) )
             self.assertEqual(
                 encoding.offset_mapping[1]				,    (len(_lowerCAmelCase ) + 1, len(_lowerCAmelCase ) + 1 + len(_lowerCAmelCase ))				,    )

             lowercase			:Tuple							=  self.rust_tokenizer_class.from_pretrained(
                 _lowerCAmelCase				,    use_fast=_lowerCAmelCase				,    add_prefix_space=_lowerCAmelCase				,    trim_offsets=_lowerCAmelCase )
             lowercase			:Tuple							=  tokenizer_r(_lowerCAmelCase				,    return_offsets_mapping=_lowerCAmelCase				,    add_special_tokens=_lowerCAmelCase )
             self.assertEqual(encoding.offset_mapping[0]				,    (0, len(_lowerCAmelCase )) )
             self.assertEqual(
                 encoding.offset_mapping[1]				,    (len(_lowerCAmelCase ) + 1, len(_lowerCAmelCase ) + 1 + len(_lowerCAmelCase ))				,    )

             lowercase			:Union[str, Any]							=  self.rust_tokenizer_class.from_pretrained(
                 _lowerCAmelCase				,    use_fast=_lowerCAmelCase				,    add_prefix_space=_lowerCAmelCase				,    trim_offsets=_lowerCAmelCase )
             lowercase			:Optional[int]							=  tokenizer_r(_lowerCAmelCase				,    return_offsets_mapping=_lowerCAmelCase				,    add_special_tokens=_lowerCAmelCase )
             self.assertEqual(encoding.offset_mapping[0]				,    (0, len(_lowerCAmelCase )) )
             self.assertEqual(
                 encoding.offset_mapping[1]				,    (len(_lowerCAmelCase ), len(_lowerCAmelCase ) + 1 + len(_lowerCAmelCase ))				,    )

             lowercase			:Dict							=  self.rust_tokenizer_class.from_pretrained(
                 _lowerCAmelCase				,    use_fast=_lowerCAmelCase				,    add_prefix_space=_lowerCAmelCase				,    trim_offsets=_lowerCAmelCase )
             lowercase			:int							=  tokenizer_r(_lowerCAmelCase				,    return_offsets_mapping=_lowerCAmelCase				,    add_special_tokens=_lowerCAmelCase )
             self.assertEqual(encoding.offset_mapping[0]				,    (0, len(_lowerCAmelCase )) )
             self.assertEqual(
                 encoding.offset_mapping[1]				,    (len(_lowerCAmelCase ), len(_lowerCAmelCase ) + 1 + len(_lowerCAmelCase ))				,    )

             lowercase			:str							=  F" {text}"

             # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
             #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
             # )
             # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
             # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
             # self.assertEqual(
             #     encoding.offset_mapping[1],
             #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
             # )

             lowercase			:List[str]							=  self.rust_tokenizer_class.from_pretrained(
                 _lowerCAmelCase				,    use_fast=_lowerCAmelCase				,    add_prefix_space=_lowerCAmelCase				,    trim_offsets=_lowerCAmelCase )
             lowercase			:Any							=  tokenizer_r(_lowerCAmelCase				,    return_offsets_mapping=_lowerCAmelCase				,    add_special_tokens=_lowerCAmelCase )
             self.assertEqual(encoding.offset_mapping[0]				,    (1, 1 + len(_lowerCAmelCase )) )
             self.assertEqual(
                 encoding.offset_mapping[1]				,    (1 + len(_lowerCAmelCase ) + 1, 1 + len(_lowerCAmelCase ) + 1 + len(_lowerCAmelCase ))				,    )

             lowercase			:Tuple							=  self.rust_tokenizer_class.from_pretrained(
                 _lowerCAmelCase				,    use_fast=_lowerCAmelCase				,    add_prefix_space=_lowerCAmelCase				,    trim_offsets=_lowerCAmelCase )
             lowercase			:Optional[int]							=  tokenizer_r(_lowerCAmelCase				,    return_offsets_mapping=_lowerCAmelCase				,    add_special_tokens=_lowerCAmelCase )
             self.assertEqual(encoding.offset_mapping[0]				,    (0, 1 + len(_lowerCAmelCase )) )
             self.assertEqual(
                 encoding.offset_mapping[1]				,    (1 + len(_lowerCAmelCase ), 1 + len(_lowerCAmelCase ) + 1 + len(_lowerCAmelCase ))				,    )

             lowercase			:int							=  self.rust_tokenizer_class.from_pretrained(
                 _lowerCAmelCase				,    use_fast=_lowerCAmelCase				,    add_prefix_space=_lowerCAmelCase				,    trim_offsets=_lowerCAmelCase )
             lowercase			:List[Any]							=  tokenizer_r(_lowerCAmelCase				,    return_offsets_mapping=_lowerCAmelCase				,    add_special_tokens=_lowerCAmelCase )
             self.assertEqual(encoding.offset_mapping[0]				,    (0, 1 + len(_lowerCAmelCase )) )
             self.assertEqual(
                 encoding.offset_mapping[1]				,    (1 + len(_lowerCAmelCase ), 1 + len(_lowerCAmelCase ) + 1 + len(_lowerCAmelCase ))				,    )









import numpy

# List of input, output pairs
_UpperCAmelCase		:  List[str]	=   (
    ((5, 2, 3), 15),
    ((6, 5, 9), 25),
    ((11, 12, 13), 41),
    ((1, 1, 1), 8),
    ((11, 12, 13), 41),
)
_UpperCAmelCase		:  Optional[Any]	=   (((515, 22, 13), 555), ((61, 35, 49), 150))
_UpperCAmelCase		:  Tuple	=   [2, 4, 1, 5]
_UpperCAmelCase		:  Union[str, Any]	=   len(train_data)
_UpperCAmelCase		:  Dict	=   0.0_0_9



def 					UpperCAmelCase__     (   lowerCamelCase,	lowerCamelCase="train"      ):
  return calculate_hypothesis_value(lowerCamelCase,	lowerCamelCase      ) - output(
      lowerCamelCase,	lowerCamelCase      )



def 					UpperCAmelCase__     (   lowerCamelCase      ):
  lowercase			:str							=  0
  for i in range(len(lowerCamelCase      ) - 1      ):
    hyp_val += data_input_tuple[i] * parameter_vector[i + 1]
  hyp_val += parameter_vector[0]
  return hyp_val



def 					UpperCAmelCase__     (   lowerCamelCase,	lowerCamelCase      ):
  if data_set == "train":
    return train_data[example_no][1]
  elif data_set == "test":
    return test_data[example_no][1]
  return None



def 					UpperCAmelCase__     (   lowerCamelCase,	lowerCamelCase      ):
  if data_set == "train":
    return _hypothesis_value(train_data[example_no][0]      )
  elif data_set == "test":
    return _hypothesis_value(test_data[example_no][0]      )
  return None



def 					UpperCAmelCase__     (   lowerCamelCase,	lowerCamelCase=m      ):
  lowercase			:Union[str, Any]							=  0
  for i in range(lowerCamelCase      ):
    if index == -1:
      summation_value += _error(lowerCamelCase      )
    else:
      summation_value += _error(lowerCamelCase      ) * train_data[i][0][index]
  return summation_value



def 					UpperCAmelCase__     (   lowerCamelCase      ):
  lowercase			:int							=  summation_of_cost_derivative(lowerCamelCase,	lowerCamelCase      ) / m
  return cost_derivative_value



def 					UpperCAmelCase__     (   ):
  global parameter_vector
  # Tune these values to set a tolerance value for predicted output
  lowercase			:str							=  0.000_002
  lowercase			:Tuple							=  0
  lowercase			:Optional[int]							=  0
  while True:
    j += 1
    lowercase			:Union[str, Any]							=  [0, 0, 0, 0]
    for i in range(0,	len(lowerCamelCase      )      ):
      lowercase			:Dict							=  get_cost_derivative(i - 1      )
      lowercase			:Optional[Any]							=  (
          parameter_vector[i] - LEARNING_RATE * cost_derivative
      )
    if numpy.allclose(
        lowerCamelCase,	lowerCamelCase,	atol=lowerCamelCase,	rtol=lowerCamelCase,	):
      break
    lowercase			:Union[str, Any]							=  temp_parameter_vector
  print(("Number of iterations:", j)      )



def 					UpperCAmelCase__     (   ):
  for i in range(len(lowerCamelCase      )      ):
    print(("Actual output value:", output(lowerCamelCase,	"test"      ))      )
    print(("Hypothesis output:", calculate_hypothesis_value(lowerCamelCase,	"test"      ))      )


if __name__ == "__main__":
     run_gradient_descent()
     print("\nTesting gradient descent for a linear hypothesis function.\n")
     test_gradient_descent()



