





import builtins
import sys

from ...utils.imports import _is_package_available
from . import cursor, input
from .helpers import Direction, clear_line, forceWrite, linebreak, move_cursor, reset_cursor, writeColor
from .keymap import KEYMAP


lowercase_          =		False
try:
      lowercase_          =		_is_package_available("""google.colab""")
except ModuleNotFoundError:
      pass
@input.register
class     SCREAMING_SNAKE_CASE       :


   def __init__(   self      :    List[Any]      ,					a      :    str = None      ,					a      :    list = []	)->       List[Any]:





     """simple docstring"""







     lowercase__           =  0
     lowercase__           =  choices
     lowercase__           =  prompt
     if sys.platform == "win32":
       lowercase__           =  '*'
     else:
       lowercase__           =  '➔ '


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Dict      ,					a      :    Optional[int]      ,					a      :    str = ""	)->       Any:





     """simple docstring"""







     if sys.platform != "win32":
       writeColor(self.choices[index]      ,					32      ,					a	)
     else:
       forceWrite(self.choices[index]      ,					a	)


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Optional[Any]      ,					a      :    int	)->       Optional[Any]:





     """simple docstring"""







     if index == self.position:
       forceWrite(f""" {self.arrow_char} """	)
       self.write_choice(a	)
     else:
       forceWrite(f"""    {self.choices[index]}"""	)
     reset_cursor()


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Optional[int]      ,					a      :    Direction      ,					a      :    int = 1	)->       List[str]:





     """simple docstring"""







     lowercase__           =  self.position
     if direction == Direction.DOWN:
       if self.position + 1 >= len(self.choices	):
         return
       self.position += num_spaces
     else:
       if self.position - 1 < 0:
         return
       self.position -= num_spaces
     clear_line()
     self.print_choice(a	)
     move_cursor(a      ,					direction.name	)
     self.print_choice(self.position	)


   @input.mark(KEYMAP['up']	)
   def 	SCREAMING_SNAKE_CASE_							(   self      :    str	)->       Tuple:





     """simple docstring"""







     self.move_direction(Direction.UP	)


   @input.mark(KEYMAP['down']	)
   def 	SCREAMING_SNAKE_CASE_							(   self      :    Any	)->       str:





     """simple docstring"""







     self.move_direction(Direction.DOWN	)


   @input.mark(KEYMAP['newline']	)
   def 	SCREAMING_SNAKE_CASE_							(   self      :    List[str]	)->       List[str]:





     """simple docstring"""







     move_cursor(len(self.choices	) - self.position      ,					'DOWN'	)
     return self.position


   @input.mark(KEYMAP['interrupt']	)
   def 	SCREAMING_SNAKE_CASE_							(   self      :    Any	)->       List[Any]:





     """simple docstring"""







     move_cursor(len(self.choices	) - self.position      ,					'DOWN'	)
     raise KeyboardInterrupt


   @input.mark_multiple(*[KEYMAP[str(a	)] for number in range(10	)]	)
   def 	SCREAMING_SNAKE_CASE_							(   self      :    Union[str, Any]	)->       List[str]:





     """simple docstring"""







     lowercase__           =  int(chr(self.current_selection	)	)
     lowercase__           =  index - self.position
     if index == self.position:
       return
     if index < len(self.choices	):
       if self.position > index:
         self.move_direction(Direction.UP      ,					-movement	)
       elif self.position < index:
         self.move_direction(Direction.DOWN      ,					a	)
       else:
         return
     else:
       return


   def 	SCREAMING_SNAKE_CASE_							(   self      :    str      ,					a      :    int = 0	)->       List[str]:





     """simple docstring"""







     if self.prompt:
       linebreak()
       forceWrite(self.prompt      ,					'\n'	)
       if in_colab:
         forceWrite('Please input a choice index (starting from 0), and press enter'      ,					'\n'	)
       else:
         forceWrite('Please select a choice using the arrow or number keys, and selecting with enter'      ,					'\n'	)
     lowercase__           =  default_choice
     for i in range(len(self.choices	)	):
       self.print_choice(a	)
       forceWrite('\n'	)
     move_cursor(len(self.choices	) - self.position      ,					'UP'	)
     with cursor.hide():
       while True:
         if in_colab:
           try:
             lowercase__           =  int(builtins.input()	)
           except ValueError:
             lowercase__           =  default_choice
         else:
           lowercase__           =  self.handle_input()
         if choice is not None:
           reset_cursor()
           for _ in range(len(self.choices	) + 1	):
             move_cursor(1      ,					'UP'	)
             clear_line()
           self.write_choice(a      ,					'\n'	)
           return choice









import unittest

import numpy as np

from transformers import DistilBertConfig, is_flax_available
from transformers.testing_utils import require_flax, slow

from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor, random_attention_mask


if is_flax_available():
      import jax.numpy as jnp

      from transformers.models.distilbert.modeling_flax_distilbert import (
          FlaxDistilBertForMaskedLM,
          FlaxDistilBertForMultipleChoice,
          FlaxDistilBertForQuestionAnswering,
          FlaxDistilBertForSequenceClassification,
          FlaxDistilBertForTokenClassification,
          FlaxDistilBertModel,
      )
class     SCREAMING_SNAKE_CASE       (unittest.TestCase				):


   def __init__(   self      :    List[str]      ,					a      :    Dict      ,					a      :    Optional[int]=13      ,					a      :    int=7      ,					a      :    List[str]=True      ,					a      :    Any=True      ,					a      :    Dict=True      ,					a      :    List[Any]=True      ,					a      :    List[str]=99      ,					a      :    Dict=32      ,					a      :    List[str]=5      ,					a      :    Tuple=4      ,					a      :    Optional[int]=37      ,					a      :    Union[str, Any]="gelu"      ,					a      :    Optional[Any]=0.1      ,					a      :    Optional[int]=0.1      ,					a      :    Optional[Any]=512      ,					a      :    Dict=16      ,					a      :    Any=2      ,					a      :    Tuple=0.02      ,					a      :    Optional[Any]=4      ,					)->       int:





     """simple docstring"""







     lowercase__           =  parent
     lowercase__           =  batch_size
     lowercase__           =  seq_length
     lowercase__           =  is_training
     lowercase__           =  use_attention_mask
     lowercase__           =  use_token_type_ids
     lowercase__           =  use_labels
     lowercase__           =  vocab_size
     lowercase__           =  hidden_size
     lowercase__           =  num_hidden_layers
     lowercase__           =  num_attention_heads
     lowercase__           =  intermediate_size
     lowercase__           =  hidden_act
     lowercase__           =  hidden_dropout_prob
     lowercase__           =  attention_probs_dropout_prob
     lowercase__           =  max_position_embeddings
     lowercase__           =  type_vocab_size
     lowercase__           =  type_sequence_label_size
     lowercase__           =  initializer_range
     lowercase__           =  num_choices


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





     """simple docstring"""







     lowercase__           =  ids_tensor([self.batch_size, self.seq_length]      ,					self.vocab_size	)

     lowercase__           =  None
     if self.use_attention_mask:
       lowercase__           =  random_attention_mask([self.batch_size, self.seq_length]	)

     lowercase__           =  DistilBertConfig(
         vocab_size=self.vocab_size      ,					dim=self.hidden_size      ,					n_layers=self.num_hidden_layers      ,					n_heads=self.num_attention_heads      ,					hidden_dim=self.intermediate_size      ,					hidden_act=self.hidden_act      ,					dropout=self.hidden_dropout_prob      ,					attention_dropout=self.attention_probs_dropout_prob      ,					max_position_embeddings=self.max_position_embeddings      ,					initializer_range=self.initializer_range      ,					tie_weights_=a      ,					)

     return config, input_ids, attention_mask


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Optional[Any]	)->       Any:





     """simple docstring"""







     lowercase__           =  self.prepare_config_and_inputs()
     lowercase__      ,   lowercase__      ,   lowercase__           =  config_and_inputs
     lowercase__           =  {'input_ids': input_ids, 'attention_mask': attention_mask}
     return config, inputs_dict






@require_flax
class     SCREAMING_SNAKE_CASE       (UpperCAmelCase      ,     unittest.TestCase				):
   _UpperCamelCase   :		List[Any]			 =	(
       (
           FlaxDistilBertModel,
           FlaxDistilBertForMaskedLM,
           FlaxDistilBertForMultipleChoice,
           FlaxDistilBertForQuestionAnswering,
           FlaxDistilBertForSequenceClassification,
           FlaxDistilBertForTokenClassification,
           FlaxDistilBertForQuestionAnswering,
       )
       if is_flax_available()
       else ()
   )


   def 	SCREAMING_SNAKE_CASE_							(   self      :    Dict	)->       List[str]:





     """simple docstring"""







     lowercase__           =  FlaxDistilBertModelTester(self	)


   @slow
   def 	SCREAMING_SNAKE_CASE_							(   self      :    List[str]	)->       int:





     """simple docstring"""







     for model_class_name in self.all_model_classes:
       lowercase__           =  model_class_name.from_pretrained('distilbert-base-uncased'	)
       lowercase__           =  model(np.ones((1, 1)	)	)
       self.assertIsNotNone(a	)






@require_flax
class     SCREAMING_SNAKE_CASE       (unittest.TestCase				):


   @slow
   def 	SCREAMING_SNAKE_CASE_							(   self      :    List[str]	)->       List[str]:





     """simple docstring"""







     lowercase__           =  FlaxDistilBertModel.from_pretrained('distilbert-base-uncased'	)
     lowercase__           =  np.array([[0, 345, 232, 328, 740, 140, 1_695, 69, 6_078, 1_588, 2]]	)
     lowercase__           =  np.array([[0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]	)
     lowercase__           =  model(a      ,					attention_mask=a	)[0]
     lowercase__           =  (1, 11, 768)
     self.assertEqual(output.shape      ,					a	)
     lowercase__           =  np.array([[[-0.1639, 0.3299, 0.1648], [-0.1746, 0.3289, 0.1710], [-0.1884, 0.3357, 0.1810]]]	)

     self.assertTrue(jnp.allclose(output[:, 1:4, 1:4]      ,					a      ,					atol=1E-4	)	)


