
"""simple docstring"""







import unittest

import numpy as np

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

from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask


if is_flax_available():
       from transformers.models.roberta.modeling_flax_roberta import (
           FlaxRobertaForCausalLM,
           FlaxRobertaForMaskedLM,
           FlaxRobertaForMultipleChoice,
           FlaxRobertaForQuestionAnswering,
           FlaxRobertaForSequenceClassification,
           FlaxRobertaForTokenClassification,
           FlaxRobertaModel,
       )




class 				A__ (			unittest.TestCase):

  def __init__(   self ,	_SCREAMING_SNAKE_CASE ,	_SCREAMING_SNAKE_CASE=13 ,	_SCREAMING_SNAKE_CASE=7 ,	_SCREAMING_SNAKE_CASE=True ,	_SCREAMING_SNAKE_CASE=True ,	_SCREAMING_SNAKE_CASE=True ,	_SCREAMING_SNAKE_CASE=True ,	_SCREAMING_SNAKE_CASE=99 ,	_SCREAMING_SNAKE_CASE=32 ,	_SCREAMING_SNAKE_CASE=5 ,	_SCREAMING_SNAKE_CASE=4 ,	_SCREAMING_SNAKE_CASE=37 ,	_SCREAMING_SNAKE_CASE="gelu" ,	_SCREAMING_SNAKE_CASE=0.1 ,	_SCREAMING_SNAKE_CASE=0.1 ,	_SCREAMING_SNAKE_CASE=5_12 ,	_SCREAMING_SNAKE_CASE=16 ,	_SCREAMING_SNAKE_CASE=2 ,	_SCREAMING_SNAKE_CASE=0.02 ,	_SCREAMING_SNAKE_CASE=4 ,	):
   __lowerCAmelCase    :		List[Any]		    =   parent
   __lowerCAmelCase    :		int		    =   batch_size
   __lowerCAmelCase    :		List[str]		    =   seq_length
   __lowerCAmelCase    :		str		    =   is_training
   __lowerCAmelCase    :		Optional[Any]		    =   use_attention_mask
   __lowerCAmelCase    :		Union[str, Any]		    =   use_token_type_ids
   __lowerCAmelCase    :		Dict		    =   use_labels
   __lowerCAmelCase    :		Union[str, Any]		    =   vocab_size
   __lowerCAmelCase    :		List[str]		    =   hidden_size
   __lowerCAmelCase    :		List[str]		    =   num_hidden_layers
   __lowerCAmelCase    :		Optional[int]		    =   num_attention_heads
   __lowerCAmelCase    :		Dict		    =   intermediate_size
   __lowerCAmelCase    :		Dict		    =   hidden_act
   __lowerCAmelCase    :		Optional[int]		    =   hidden_dropout_prob
   __lowerCAmelCase    :		Dict		    =   attention_probs_dropout_prob
   __lowerCAmelCase    :		Union[str, Any]		    =   max_position_embeddings
   __lowerCAmelCase    :		Any		    =   type_vocab_size
   __lowerCAmelCase    :		Tuple		    =   type_sequence_label_size
   __lowerCAmelCase    :		Union[str, Any]		    =   initializer_range
   __lowerCAmelCase    :		int		    =   num_choices

  def 							__lowerCamelCase							(   self				):
   __lowerCAmelCase    :		Union[str, Any]		    =   ids_tensor([self.batch_size, self.seq_length] ,	self.vocab_size				)

   __lowerCAmelCase    :		List[str]		    =   None
   if self.use_attention_mask:
    __lowerCAmelCase    :		str		    =   random_attention_mask([self.batch_size, self.seq_length]				)

   __lowerCAmelCase    :		Dict		    =   None
   if self.use_token_type_ids:
    __lowerCAmelCase    :		Tuple		    =   ids_tensor([self.batch_size, self.seq_length] ,	self.type_vocab_size				)

   __lowerCAmelCase    :		str		    =   RobertaConfig(
       vocab_size=self.vocab_size ,	hidden_size=self.hidden_size ,	num_hidden_layers=self.num_hidden_layers ,	num_attention_heads=self.num_attention_heads ,	intermediate_size=self.intermediate_size ,	hidden_act=self.hidden_act ,	hidden_dropout_prob=self.hidden_dropout_prob ,	attention_probs_dropout_prob=self.attention_probs_dropout_prob ,	max_position_embeddings=self.max_position_embeddings ,	type_vocab_size=self.type_vocab_size ,	is_decoder=_SCREAMING_SNAKE_CASE ,	initializer_range=self.initializer_range ,	)

   return config, input_ids, token_type_ids, attention_mask

  def 							__lowerCamelCase							(   self				):
   __lowerCAmelCase    :		Dict		    =   self.prepare_config_and_inputs()
   __lowerCAmelCase    :		List[Any]		    =   config_and_inputs
   __lowerCAmelCase    :		List[Any]		    =   {'input_ids': input_ids, 'token_type_ids': token_type_ids, 'attention_mask': attention_mask}
   return config, inputs_dict







  def 							__lowerCamelCase							(   self				):
   __lowerCAmelCase    :		Optional[int]		    =   self.prepare_config_and_inputs()
   __lowerCAmelCase    :		Any		    =   config_and_inputs

   __lowerCAmelCase    :		int		    =   True
   __lowerCAmelCase    :		Any		    =   floats_tensor([self.batch_size, self.seq_length, self.hidden_size]				)
   __lowerCAmelCase    :		int		    =   ids_tensor([self.batch_size, self.seq_length] ,	vocab_size=2				)

   return (
       config,
       input_ids,
       token_type_ids,
       encoder_hidden_states,
       encoder_attention_mask,
   )




@require_flax
class 				A__ (			_lowerCamelCase ,  unittest.TestCase):
  A_		: List[Any]            =			True

  A_		: Optional[Any]            =			(
      (
          FlaxRobertaModel,
          FlaxRobertaForCausalLM,
          FlaxRobertaForMaskedLM,
          FlaxRobertaForSequenceClassification,
          FlaxRobertaForTokenClassification,
          FlaxRobertaForMultipleChoice,
          FlaxRobertaForQuestionAnswering,
      )
      if is_flax_available()
      else ()
  )

  def 							__lowerCamelCase							(   self				):
   __lowerCAmelCase    :		Tuple		    =   FlaxRobertaModelTester(self				)







  @slow
  def 							__lowerCamelCase							(   self				):
   for model_class_name in self.all_model_classes:
    __lowerCAmelCase    :		str		    =   model_class_name.from_pretrained('roberta-base' ,	from_pt=_SCREAMING_SNAKE_CASE				)
    __lowerCAmelCase    :		Optional[int]		    =   model(np.ones((1, 1)				)				)
    self.assertIsNotNone(_SCREAMING_SNAKE_CASE				)

"""simple docstring"""







# Imports
import numpy as np




class 				A__ :

		def __init__(   self ,	_SCREAMING_SNAKE_CASE=None ,	_SCREAMING_SNAKE_CASE=None ,	_SCREAMING_SNAKE_CASE=None ,	_SCREAMING_SNAKE_CASE=None ,	_SCREAMING_SNAKE_CASE=None				):
			self.set_matricies(red=_SCREAMING_SNAKE_CASE ,	green=_SCREAMING_SNAKE_CASE ,	blue=_SCREAMING_SNAKE_CASE ,	red_edge=_SCREAMING_SNAKE_CASE ,	nir=_SCREAMING_SNAKE_CASE				)

		def 							__lowerCamelCase							(   self ,	_SCREAMING_SNAKE_CASE=None ,	_SCREAMING_SNAKE_CASE=None ,	_SCREAMING_SNAKE_CASE=None ,	_SCREAMING_SNAKE_CASE=None ,	_SCREAMING_SNAKE_CASE=None				):
			if red is not None:
				__lowerCAmelCase    :		Optional[int]		    =   red
			if green is not None:
				__lowerCAmelCase    :		Any		    =   green
			if blue is not None:
				__lowerCAmelCase    :		str		    =   blue
			if red_edge is not None:
				__lowerCAmelCase    :		Dict		    =   red_edge
			if nir is not None:
				__lowerCAmelCase    :		Dict		    =   nir
			return True

		def 							__lowerCamelCase							(   self ,	_SCREAMING_SNAKE_CASE="" ,	_SCREAMING_SNAKE_CASE=None ,	_SCREAMING_SNAKE_CASE=None ,	_SCREAMING_SNAKE_CASE=None ,	_SCREAMING_SNAKE_CASE=None ,	_SCREAMING_SNAKE_CASE=None				):
			self.set_matricies(red=_SCREAMING_SNAKE_CASE ,	green=_SCREAMING_SNAKE_CASE ,	blue=_SCREAMING_SNAKE_CASE ,	red_edge=_SCREAMING_SNAKE_CASE ,	nir=_SCREAMING_SNAKE_CASE				)
			__lowerCAmelCase    :		Optional[int]		    =   {
			    'ARVI2': self.arvaa,
			    'CCCI': self.ccci,
			    'CVI': self.cvi,
			    'GLI': self.gli,
			    'NDVI': self.ndvi,
			    'BNDVI': self.bndvi,
			    'redEdgeNDVI': self.red_edge_ndvi,
			    'GNDVI': self.gndvi,
			    'GBNDVI': self.gbndvi,
			    'GRNDVI': self.grndvi,
			    'RBNDVI': self.rbndvi,
			    'PNDVI': self.pndvi,
			    'ATSAVI': self.atsavi,
			    'BWDRVI': self.bwdrvi,
			    'CIgreen': self.ci_green,
			    'CIrededge': self.ci_rededge,
			    'CI': self.ci,
			    'CTVI': self.ctvi,
			    'GDVI': self.gdvi,
			    'EVI': self.evi,
			    'GEMI': self.gemi,
			    'GOSAVI': self.gosavi,
			    'GSAVI': self.gsavi,
			    'Hue': self.hue,
			    'IVI': self.ivi,
			    'IPVI': self.ipvi,
			    'I': self.i,
			    'RVI': self.rvi,
			    'MRVI': self.mrvi,
			    'MSAVI': self.m_savi,
			    'NormG': self.norm_g,
			    'NormNIR': self.norm_nir,
			    'NormR': self.norm_r,
			    'NGRDI': self.ngrdi,
			    'RI': self.ri,
			    'S': self.s,
			    'IF': self._if,
			    'DVI': self.dvi,
			    'TVI': self.tvi,
			    'NDRE': self.ndre,
			}

			try:
				return funcs[index]()
			except KeyError:
				print('Index not in the list!'				)
				return False

		def 							__lowerCamelCase							(   self				):
			return -0.18 + (1.17 * ((self.nir - self.red) / (self.nir + self.red)))

		def 							__lowerCamelCase							(   self				):
			return ((self.nir - self.redEdge) / (self.nir + self.redEdge)) / (
			    (self.nir - self.red) / (self.nir + self.red)
			)

		def 							__lowerCamelCase							(   self				):
			return self.nir * (self.red / (self.green**2))

		def 							__lowerCamelCase							(   self				):
			return (2 * self.green - self.red - self.blue) / (
			    2 * self.green + self.red + self.blue
			)

		def 							__lowerCamelCase							(   self				):
			return (self.nir - self.red) / (self.nir + self.red)

		def 							__lowerCamelCase							(   self				):
			return (self.nir - self.blue) / (self.nir + self.blue)

		def 							__lowerCamelCase							(   self				):
			return (self.redEdge - self.red) / (self.redEdge + self.red)

		def 							__lowerCamelCase							(   self				):
			return (self.nir - self.green) / (self.nir + self.green)

		def 							__lowerCamelCase							(   self				):
			return (self.nir - (self.green + self.blue)) / (
			    self.nir + (self.green + self.blue)
			)

		def 							__lowerCamelCase							(   self				):
			return (self.nir - (self.green + self.red)) / (
			    self.nir + (self.green + self.red)
			)

		def 							__lowerCamelCase							(   self				):
			return (self.nir - (self.blue + self.red)) / (self.nir + (self.blue + self.red))

		def 							__lowerCamelCase							(   self				):
			return (self.nir - (self.green + self.red + self.blue)) / (
			    self.nir + (self.green + self.red + self.blue)
			)

		def 							__lowerCamelCase							(   self ,	_SCREAMING_SNAKE_CASE=0.08 ,	_SCREAMING_SNAKE_CASE=1.22 ,	_SCREAMING_SNAKE_CASE=0.03				):
			return a * (
			    (self.nir - a * self.red - b)
			    / (a * self.nir + self.red - a * b + x * (1 + a**2))
			)

		def 							__lowerCamelCase							(   self				):
			return (0.1 * self.nir - self.blue) / (0.1 * self.nir + self.blue)

		def 							__lowerCamelCase							(   self				):
			return (self.nir / self.green) - 1

		def 							__lowerCamelCase							(   self				):
			return (self.nir / self.redEdge) - 1

		def 							__lowerCamelCase							(   self				):
			return (self.red - self.blue) / self.red

		def 							__lowerCamelCase							(   self				):
			__lowerCAmelCase    :		Dict		    =   self.ndvi()
			return ((ndvi + 0.5) / (abs(ndvi + 0.5				))) * (abs(ndvi + 0.5				) ** (1 / 2))

		def 							__lowerCamelCase							(   self				):
			return self.nir - self.green

		def 							__lowerCamelCase							(   self				):
			return 2.5 * (
			    (self.nir - self.red) / (self.nir + 6 * self.red - 7.5 * self.blue + 1)
			)

		def 							__lowerCamelCase							(   self				):
			__lowerCAmelCase    :		Optional[Any]		    =   (2 * (self.nir**2 - self.red**2) + 1.5 * self.nir + 0.5 * self.red) / (
			    self.nir + self.red + 0.5
			)
			return n * (1 - 0.25 * n) - (self.red - 0.125) / (1 - self.red)

		def 							__lowerCamelCase							(   self ,	_SCREAMING_SNAKE_CASE=0.16				):
			return (self.nir - self.green) / (self.nir + self.green + y)

		def 							__lowerCamelCase							(   self ,	_SCREAMING_SNAKE_CASE=0.5				):
			return ((self.nir - self.green) / (self.nir + self.green + n)) * (1 + n)

		def 							__lowerCamelCase							(   self				):
			return np.arctan(
			    ((2 * self.red - self.green - self.blue) / 30.5) * (self.green - self.blue)				)

		def 							__lowerCamelCase							(   self ,	_SCREAMING_SNAKE_CASE=None ,	_SCREAMING_SNAKE_CASE=None				):
			return (self.nir - b) / (a * self.red)

		def 							__lowerCamelCase							(   self				):
			return (self.nir / ((self.nir + self.red) / 2)) * (self.ndvi() + 1)

		def 							__lowerCamelCase							(   self				):
			return (self.red + self.green + self.blue) / 30.5

		def 							__lowerCamelCase							(   self				):
			return self.nir / self.red

		def 							__lowerCamelCase							(   self				):
			return (self.rvi() - 1) / (self.rvi() + 1)

		def 							__lowerCamelCase							(   self				):
			return (
			    (2 * self.nir + 1)
			    - ((2 * self.nir + 1) ** 2 - 8 * (self.nir - self.red)) ** (1 / 2)
			) / 2

		def 							__lowerCamelCase							(   self				):
			return self.green / (self.nir + self.red + self.green)

		def 							__lowerCamelCase							(   self				):
			return self.nir / (self.nir + self.red + self.green)

		def 							__lowerCamelCase							(   self				):
			return self.red / (self.nir + self.red + self.green)

		def 							__lowerCamelCase							(   self				):
			return (self.green - self.red) / (self.green + self.red)

		def 							__lowerCamelCase							(   self				):
			return (self.red - self.green) / (self.red + self.green)

		def 							__lowerCamelCase							(   self				):
			__lowerCAmelCase    :		List[Any]		    =   np.max([np.max(self.red				), np.max(self.green				), np.max(self.blue				)]				)
			__lowerCAmelCase    :		Dict		    =   np.min([np.min(self.red				), np.min(self.green				), np.min(self.blue				)]				)
			return (max_value - min_value) / max_value

		def 							__lowerCamelCase							(   self				):
			return (2 * self.red - self.green - self.blue) / (self.green - self.blue)

		def 							__lowerCamelCase							(   self				):
			return self.nir / self.red

		def 							__lowerCamelCase							(   self				):
			return (self.ndvi() + 0.5) ** (1 / 2)







		def 							__lowerCamelCase							(   self				):
			return (self.nir - self.redEdge) / (self.nir + self.redEdge)