





import unittest

from transformers import SPIECE_UNDERLINE, ReformerTokenizer, ReformerTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


_snake_case  :   Union[str, Any]						   =  get_tests_dir('fixtures/test_sentencepiece.model')



@require_sentencepiece
@require_tokenizers
class     _UpperCAmelCase   (   _UpperCamelCase		,   unittest.TestCase   ):

  """simple docstring"""


  a_      =			ReformerTokenizer
  a_      =			ReformerTokenizerFast
  a_      =			True
  a_      =			False
  a_      =			True






  def     lowercase		(    self			:		int					)							->						str:
     super().setUp()

     __lowerCAmelCase							     =     ReformerTokenizer(lowerCAmelCase_ ,  keep_accents=lowerCAmelCase_					)
     tokenizer.save_pretrained(self.tmpdirname					)






  def     lowercase		(    self			:		List[Any]					)							->						str:
     __lowerCAmelCase							     =     '<s>'
     __lowerCAmelCase							     =     1

     self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCAmelCase_					) ,  lowerCAmelCase_					)
     self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCAmelCase_					) ,  lowerCAmelCase_					)






  def     lowercase		(    self			:		Union[str, Any]					)							->						int:
     __lowerCAmelCase							     =     list(self.get_tokenizer().get_vocab().keys()					)

     self.assertEqual(vocab_keys[0] ,  '<unk>'					)
     self.assertEqual(vocab_keys[1] ,  '<s>'					)
     self.assertEqual(vocab_keys[-1] ,  'j'					)
     self.assertEqual(len(lowerCAmelCase_					) ,  1_0_0_0					)






  def     lowercase		(    self			:		int					)							->						int:
     self.assertEqual(self.get_tokenizer().vocab_size ,  1_0_0_0					)






  def     lowercase		(    self			:		Optional[int]					)							->						Dict:
     if not self.test_rust_tokenizer:
        return

     __lowerCAmelCase							     =     self.get_tokenizer()
     __lowerCAmelCase							     =     self.get_rust_tokenizer()

     __lowerCAmelCase							     =     'I was born in 92000, and this is falsé.'

     __lowerCAmelCase							     =     tokenizer.tokenize(lowerCAmelCase_					)
     __lowerCAmelCase							     =     rust_tokenizer.tokenize(lowerCAmelCase_					)
     self.assertListEqual(lowerCAmelCase_ ,  lowerCAmelCase_					)

     __lowerCAmelCase							     =     tokenizer.encode(lowerCAmelCase_ ,  add_special_tokens=lowerCAmelCase_					)
     __lowerCAmelCase							     =     rust_tokenizer.encode(lowerCAmelCase_ ,  add_special_tokens=lowerCAmelCase_					)
     self.assertListEqual(lowerCAmelCase_ ,  lowerCAmelCase_					)

     __lowerCAmelCase							     =     self.get_rust_tokenizer()
     __lowerCAmelCase							     =     tokenizer.encode(lowerCAmelCase_					)
     __lowerCAmelCase							     =     rust_tokenizer.encode(lowerCAmelCase_					)
     self.assertListEqual(lowerCAmelCase_ ,  lowerCAmelCase_					)






  def     lowercase		(    self			:		Tuple ,  lowerCAmelCase_			:		Dict=1_5					)							->						Union[str, Any]:
     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""					):
           __lowerCAmelCase							     =     self.rust_tokenizer_class.from_pretrained(lowerCAmelCase_ ,  **lowerCAmelCase_					)

           # Simple input
           __lowerCAmelCase							     =     'This is a simple input'
           __lowerCAmelCase							     =     ['This is a simple input 1', 'This is a simple input 2']
           __lowerCAmelCase							     =     ('This is a simple input', 'This is a pair')
           __lowerCAmelCase							     =     [
               ('This is a simple input 1', 'This is a simple input 2'),
               ('This is a simple pair 1', 'This is a simple pair 2'),
           ]

           # Simple input tests
           self.assertRaises(lowerCAmelCase_ ,  tokenizer_r.encode ,  lowerCAmelCase_ ,  max_length=lowerCAmelCase_ ,  padding='max_length'					)

           # Simple input
           self.assertRaises(lowerCAmelCase_ ,  tokenizer_r.encode_plus ,  lowerCAmelCase_ ,  max_length=lowerCAmelCase_ ,  padding='max_length'					)

           # Simple input
           self.assertRaises(
               lowerCAmelCase_ ,  tokenizer_r.batch_encode_plus ,  lowerCAmelCase_ ,  max_length=lowerCAmelCase_ ,  padding='max_length' ,  )

           # Pair input
           self.assertRaises(lowerCAmelCase_ ,  tokenizer_r.encode ,  lowerCAmelCase_ ,  max_length=lowerCAmelCase_ ,  padding='max_length'					)

           # Pair input
           self.assertRaises(lowerCAmelCase_ ,  tokenizer_r.encode_plus ,  lowerCAmelCase_ ,  max_length=lowerCAmelCase_ ,  padding='max_length'					)

           # Pair input
           self.assertRaises(
               lowerCAmelCase_ ,  tokenizer_r.batch_encode_plus ,  lowerCAmelCase_ ,  max_length=lowerCAmelCase_ ,  padding='max_length' ,  )






  def     lowercase		(    self			:		int					)							->						List[str]:
     pass






  def     lowercase		(    self			:		Optional[int]					)							->						Tuple:
     __lowerCAmelCase							     =     ReformerTokenizer(lowerCAmelCase_ ,  keep_accents=lowerCAmelCase_					)

     __lowerCAmelCase							     =     tokenizer.tokenize('This is a test'					)
     self.assertListEqual(lowerCAmelCase_ ,  ['▁This', '▁is', '▁a', '▁t', 'est']					)

     self.assertListEqual(
         tokenizer.convert_tokens_to_ids(lowerCAmelCase_					) ,  [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2] ,  )

     __lowerCAmelCase							     =     tokenizer.tokenize('I was born in 92000, and this is falsé.'					)
     self.assertListEqual(
         lowerCAmelCase_ ,  [
             SPIECE_UNDERLINE + 'I',
             SPIECE_UNDERLINE + 'was',
             SPIECE_UNDERLINE + 'b',
             'or',
             'n',
             SPIECE_UNDERLINE + 'in',
             SPIECE_UNDERLINE + '',
             '9',
             '2',
             '0',
             '0',
             '0',
             ',',
             SPIECE_UNDERLINE + 'and',
             SPIECE_UNDERLINE + 'this',
             SPIECE_UNDERLINE + 'is',
             SPIECE_UNDERLINE + 'f',
             'al',
             's',
             'é',
             '.',
         ] ,  )
     __lowerCAmelCase							     =     tokenizer.convert_tokens_to_ids(lowerCAmelCase_					)
     self.assertListEqual(
         lowerCAmelCase_ ,  [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 0, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 0, 4] ,  )

     __lowerCAmelCase							     =     tokenizer.convert_ids_to_tokens(lowerCAmelCase_					)
     self.assertListEqual(
         lowerCAmelCase_ ,  [
             SPIECE_UNDERLINE + 'I',
             SPIECE_UNDERLINE + 'was',
             SPIECE_UNDERLINE + 'b',
             'or',
             'n',
             SPIECE_UNDERLINE + 'in',
             SPIECE_UNDERLINE + '',
             '<unk>',
             '2',
             '0',
             '0',
             '0',
             ',',
             SPIECE_UNDERLINE + 'and',
             SPIECE_UNDERLINE + 'this',
             SPIECE_UNDERLINE + 'is',
             SPIECE_UNDERLINE + 'f',
             'al',
             's',
             '<unk>',
             '.',
         ] ,  )






  @cached_property
  def     lowercase		(    self			:		List[str]					)							->						str:
     return ReformerTokenizer.from_pretrained('google/reformer-crime-and-punishment'					)






  @slow
  def     lowercase		(    self			:		Optional[int]					)							->						int:
     __lowerCAmelCase							     =     'Hello World!'
     __lowerCAmelCase							     =     [1_2_6, 3_2, 2_6_2, 1_5_2, 3_8, 7_2, 2_8_7]

     self.assertListEqual(lowerCAmelCase_ ,  self.big_tokenizer.encode(lowerCAmelCase_					)					)






  @slow
  def     lowercase		(    self			:		Tuple					)							->						Tuple:
     __lowerCAmelCase							     =     (
         'This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'
         ' add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth'
     )
     __lowerCAmelCase							     =     [
         1_0_8,
         2_6_5,
         2_4,
         1_1_1,
         4,
         2_5_8,
         1_5_6,
         3_5,
         2_8,
         2_7_5,
         3,
         2_5_9,
         2_9_7,
         2_6_0,
         8_4,
         4,
         3_5,
         1_1_0,
         4_4,
         8,
         2_5_9,
         9_1,
         2_6_8,
         2_1,
         1_1,
         2_0_9,
         2_7_4,
         1_0_9,
         2_6_6,
         2_7_7,
         1_1_7,
         8_6,
         9_3,
         3_1_5,
         2_5_8,
         2_7_8,
         2_5_8,
         2_7_7,
         2_5_8,
         0,
         2_5_8,
         2_8_8,
         2_5_8,
         3_1_9,
         2_5_8,
         0,
         2_5_8,
         0,
         2_5_8,
         0,
         2_5_8,
         0,
         2_5_8,
         2_8_7,
         2_5_8,
         3_1_5,
         2_5_8,
         2_8_9,
         2_5_8,
         2_7_8,
         9_9,
         2_6_9,
         2_6_6,
         2_6_2,
         8,
         2_5_9,
         2_4_1,
         4,
         2_1_7,
         2_3_0,
         2_6_8,
         2_6_6,
         5_5,
         1_6_8,
         1_0_6,
         7_5,
         1_9_3,
         2_6_6,
         2_2_3,
         2_7,
         4_9,
         2_6,
         2_8_2,
         2_5,
         2_6_4,
         2_9_9,
         1_9,
         2_6,
         0,
         2_5_8,
         2_7_7,
         1_1_7,
         8_6,
         9_3,
         1_7_6,
         1_8_3,
         2_7_0,
         1_1,
         2_6_2,
         4_2,
         6_1,
         2_6_5,
     ]

     self.assertListEqual(lowerCAmelCase_ ,  self.big_tokenizer.encode(lowerCAmelCase_					)					)






  @require_torch
  @slow
  def     lowercase		(    self			:		Optional[Any]					)							->						Optional[int]:
     import torch

     from transformers import ReformerConfig, ReformerModel

     # Build sequence
     __lowerCAmelCase							     =     list(self.big_tokenizer.get_vocab().keys()					)[:1_0]
     __lowerCAmelCase							     =     ' '.join(lowerCAmelCase_					)
     __lowerCAmelCase							     =     self.big_tokenizer.encode_plus(lowerCAmelCase_ ,  return_tensors='pt'					)
     __lowerCAmelCase							     =     self.big_tokenizer.batch_encode_plus([sequence, sequence] ,  return_tensors='pt'					)

     __lowerCAmelCase							     =     ReformerConfig()
     # The input gets padded during training so adjust the axial position encodings from the pretrained model value of (512, 1024)
     __lowerCAmelCase							     =     encoded_sequence['input_ids'].shape
     __lowerCAmelCase							     =     ReformerModel(lowerCAmelCase_					)

     # Reformer has config.vocab_size == tokenizer.vocab_size == len(tokenizer) - 1 = 320; len(tokenizer) is 321 (including a pad token with id 320)
     assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

     with torch.no_grad():
        model(**lowerCAmelCase_					)
        model(**lowerCAmelCase_					)






  @slow
  def     lowercase		(    self			:		int					)							->						int:
     # fmt: off
     __lowerCAmelCase							     =     {'input_ids': [[1_0_8, 2_6_5, 2_4, 1_1_1, 4, 2_5_8, 1_5_6, 7, 5_1, 2_7_9, 5_8, 7, 7_6, 2_5, 6_9, 2_7_8], [1_4_0, 2_4_3, 2_6_4, 1_3_4, 1_7, 2_6_7, 7_7, 2_6_3, 2_2, 2_6_2, 2_9_7, 2_5_8, 3_0_4, 1_7_7, 2_7_9, 2_6_6, 1_4, 8_9, 1_3, 3_5, 2_6_1, 2_9_9, 2_7_2, 1_3_7, 2_7_5, 2_7_8]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]}  # noqa: E501
     # fmt: on

     # This tokenizer does not know some characters like ")".
     # That is the reason why we use very simple texts here.
     # Also see https://github.com/huggingface/transformers/pull/11737#issuecomment-850769064
     __lowerCAmelCase							     =     [
         'This is a very simple sentence.',
         'The quick brown fox jumps over the lazy dog.',
     ]

     self.tokenizer_integration_test_util(
         expected_encoding=lowerCAmelCase_ ,  model_name='google/reformer-crime-and-punishment' ,  revision='0e6c3decb8211d49bf881013425dc8b0448b3f5a' ,  padding=lowerCAmelCase_ ,  sequences=lowerCAmelCase_ ,  )








import mpmath  # for roots of unity
import numpy as np



class     _UpperCAmelCase   :

  """simple docstring"""


  def __init__(    self			:		List[Any] ,  lowerCAmelCase_			:		Dict=None ,  lowerCAmelCase_			:		str=None					)							->						List[Any]:
     # Input as list
     __lowerCAmelCase							     =     list(poly_a or [0]					)[:]
     __lowerCAmelCase							     =     list(poly_b or [0]					)[:]

     # Remove leading zero coefficients
     while self.polyA[-1] == 0:
        self.polyA.pop()
     __lowerCAmelCase							     =     len(self.polyA					)

     while self.polyB[-1] == 0:
        self.polyB.pop()
     __lowerCAmelCase							     =     len(self.polyB					)

     # Add 0 to make lengths equal a power of 2
     __lowerCAmelCase							     =     int(
         2 ** np.ceil(np.loga(len(self.polyA					) + len(self.polyB					) - 1					)					)					)

     while len(self.polyA					) < self.c_max_length:
        self.polyA.append(0					)
     while len(self.polyB					) < self.c_max_length:
        self.polyB.append(0					)
     # A complex root used for the fourier transform
     __lowerCAmelCase							     =     complex(mpmath.root(x=1 ,  n=self.c_max_length ,  k=1					)					)

     # The product
     __lowerCAmelCase							     =     self.__multiply()






  def     lowercase		(    self			:		Optional[int] ,  lowerCAmelCase_			:		str					)							->						Optional[int]:
     __lowerCAmelCase							     =     [[x] for x in self.polyA] if which == 'A' else [[x] for x in self.polyB]
     # Corner case
     if len(lowerCAmelCase_					) <= 1:
        return dft[0]
     #
     __lowerCAmelCase							     =     self.c_max_length // 2
     while next_ncol > 0:
        __lowerCAmelCase							     =     [[] for i in range(lowerCAmelCase_					)]
        __lowerCAmelCase							     =     self.root**next_ncol

        # First half of next step
        __lowerCAmelCase							     =     1
        for j in range(self.c_max_length // (next_ncol * 2)					):
           for i in range(lowerCAmelCase_					):
              new_dft[i].append(dft[i][j] + current_root * dft[i + next_ncol][j]					)
           current_root *= root
        # Second half of next step
        __lowerCAmelCase							     =     1
        for j in range(self.c_max_length // (next_ncol * 2)					):
           for i in range(lowerCAmelCase_					):
              new_dft[i].append(dft[i][j] - current_root * dft[i + next_ncol][j]					)
           current_root *= root
        # Update
        __lowerCAmelCase							     =     new_dft
        __lowerCAmelCase							     =     next_ncol // 2
     return dft[0]






  def     lowercase		(    self			:		Optional[int]					)							->						Any:
     __lowerCAmelCase							     =     self.__dft('A'					)
     __lowerCAmelCase							     =     self.__dft('B'					)
     __lowerCAmelCase							     =     [[dft_a[i] * dft_b[i] for i in range(self.c_max_length					)]]
     del dft_a
     del dft_b

     # Corner Case
     if len(inverce_c[0]					) <= 1:
        return inverce_c[0]
     # Inverse DFT
     __lowerCAmelCase							     =     2
     while next_ncol <= self.c_max_length:
        __lowerCAmelCase							     =     [[] for i in range(lowerCAmelCase_					)]
        __lowerCAmelCase							     =     self.root ** (next_ncol // 2)
        __lowerCAmelCase							     =     1
        # First half of next step
        for j in range(self.c_max_length // next_ncol					):
           for i in range(next_ncol // 2					):
              # Even positions
              new_inverse_c[i].append(
                  (
                      inverce_c[i][j]
                      + inverce_c[i][j + self.c_max_length // next_ncol]
                  )
                  / 2					)
              # Odd positions
              new_inverse_c[i + next_ncol // 2].append(
                  (
                      inverce_c[i][j]
                      - inverce_c[i][j + self.c_max_length // next_ncol]
                  )
                  / (2 * current_root)					)
           current_root *= root
        # Update
        __lowerCAmelCase							     =     new_inverse_c
        next_ncol *= 2
     # Unpack
     __lowerCAmelCase							     =     [round(x[0].real ,  8					) + round(x[0].imag ,  8					) * 1J for x in inverce_c]

     # Remove leading 0's
     while inverce_c[-1] == 0:
        inverce_c.pop()
     return inverce_c






  def __str__(    self			:		Dict					)							->						int:
     __lowerCAmelCase							     =     'A = ' + ' + '.join(
         f"""{coef}*x^{i}""" for coef, i in enumerate(self.polyA[: self.len_A]					)					)
     __lowerCAmelCase							     =     'B = ' + ' + '.join(
         f"""{coef}*x^{i}""" for coef, i in enumerate(self.polyB[: self.len_B]					)					)
     __lowerCAmelCase							     =     'A*B = ' + ' + '.join(
         f"""{coef}*x^{i}""" for coef, i in enumerate(self.product					)					)

     return f"""{a}\n{b}\n{c}"""


# Unit tests
if __name__ == "__main__":
     import doctest

     doctest.testmod()

