
"""simple docstring"""





import unittest
from pathlib import Path
from tempfile import TemporaryDirectory

from transformers import AutoConfig, TFGPTaLMHeadModel, is_keras_nlp_available, is_tf_available
from transformers.models.gpta.tokenization_gpta import GPTaTokenizer
from transformers.testing_utils import require_keras_nlp, require_tf, slow


if is_tf_available():
				import tensorflow as tf

if is_keras_nlp_available():
				from transformers.models.gpta import TFGPTaTokenizer


_a								=						["""gpt2"""]
_a								=						"""gpt2"""

if is_tf_available():






				class        _UpperCAmelCase(       tf.Module      ):



						def __init__(   self							,						__a)			->			Optional[Any]:






											'''simple docstring'''
											super().__init__()
											_UpperCamelCase									=    tokenizer
											_UpperCamelCase									=    AutoConfig.from_pretrained(__a)
											_UpperCamelCase									=    TFGPTaLMHeadModel.from_config(__a)




						@tf.function(input_signature=(tf.TensorSpec((None,)							,						tf.string							,						name='''text'''),))
						def 		UpperCAmelCase				(   self							,						__a)			->			List[str]:






											'''simple docstring'''
											_UpperCamelCase									=    self.tokenizer(__a)
											_UpperCamelCase									=    tokenized['''input_ids'''].to_tensor()

											_UpperCamelCase									=    tf.cast(input_ids_dense > 0							,						tf.intaa)
											# input_mask = tf.reshape(input_mask, [-1, MAX_SEQ_LEN])

											_UpperCamelCase									=    self.model(input_ids=__a							,						attention_mask=__a)['''logits''']

											return outputs






@require_tf
@require_keras_nlp
class        _UpperCAmelCase(       unittest.TestCase      ):



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






							'''simple docstring'''
							super().setUp()

							_UpperCamelCase									=    [GPTaTokenizer.from_pretrained(__a) for checkpoint in (TOKENIZER_CHECKPOINTS)]
							_UpperCamelCase									=    [TFGPTaTokenizer.from_pretrained(__a) for checkpoint in TOKENIZER_CHECKPOINTS]
							assert len(self.tokenizers) == len(self.tf_tokenizers)

							_UpperCamelCase									=    [
							    '''This is a straightforward English test sentence.''',
							    '''This one has some weird characters\rto\nsee\r\nif  those\u00E9break things.''',
							    '''Now we\'re going to add some Chinese: 一 二 三 一二三''',
							    '''And some much more rare Chinese: 齉 堃 齉堃''',
							    '''Je vais aussi écrire en français pour tester les accents''',
							    '''Classical Irish also has some unusual characters, so in they go: Gaelaċ, ꝼ''',
							]
							_UpperCamelCase									=    list(zip(self.test_sentences							,						self.test_sentences[::-1]))



		def 		UpperCAmelCase				(   self)			->			Dict:






							'''simple docstring'''
							for tokenizer, tf_tokenizer in zip(self.tokenizers							,						self.tf_tokenizers):
												for test_inputs in self.test_sentences:
																	_UpperCamelCase									=    tokenizer([test_inputs]							,						return_tensors='''tf''')
																	_UpperCamelCase									=    tf_tokenizer([test_inputs])

																	for key in python_outputs.keys():
																						# convert them to numpy to avoid messing with ragged tensors
																						_UpperCamelCase									=    python_outputs[key].numpy()
																						_UpperCamelCase									=    tf_outputs[key].numpy()

																						self.assertTrue(tf.reduce_all(python_outputs_values.shape == tf_outputs_values.shape))
																						self.assertTrue(tf.reduce_all(tf.cast(__a							,						tf.intaa) == tf_outputs_values))



		@slow
		def 		UpperCAmelCase				(   self)			->			Optional[Any]:






							'''simple docstring'''
							for tf_tokenizer in self.tf_tokenizers:
												_UpperCamelCase									=    tf.function(__a)
												for test_inputs in self.test_sentences:
																	_UpperCamelCase									=    tf.constant(__a)
																	_UpperCamelCase									=    compiled_tokenizer(__a)
																	_UpperCamelCase									=    tf_tokenizer(__a)

																	for key in eager_outputs.keys():
																						self.assertTrue(tf.reduce_all(eager_outputs[key] == compiled_outputs[key]))



		@slow
		def 		UpperCAmelCase				(   self)			->			List[Any]:






							'''simple docstring'''
							for tf_tokenizer in self.tf_tokenizers:
												_UpperCamelCase									=    ModelToSave(tokenizer=__a)
												_UpperCamelCase									=    tf.convert_to_tensor([self.test_sentences[0]])
												_UpperCamelCase									=    model.serving(__a)  # Build model with some sample inputs
												with TemporaryDirectory() as tempdir:
																	_UpperCamelCase									=    Path(__a) / '''saved.model'''
																	tf.saved_model.save(__a							,						__a							,						signatures={'''serving_default''': model.serving})
																	_UpperCamelCase									=    tf.saved_model.load(__a)
												_UpperCamelCase									=    loaded_model.signatures['''serving_default'''](__a)['''output_0''']
												# We may see small differences because the loaded model is compiled, so we need an epsilon for the test
												self.assertTrue(tf.reduce_all(out == loaded_output))



		@slow
		def 		UpperCAmelCase				(   self)			->			Union[str, Any]:






							'''simple docstring'''
							for tf_tokenizer in self.tf_tokenizers:
												_UpperCamelCase									=    tf.convert_to_tensor([self.test_sentences[0]])
												_UpperCamelCase									=    tf_tokenizer(__a)  # Build model with some sample inputs

												_UpperCamelCase									=    tf_tokenizer.get_config()
												_UpperCamelCase									=    TFGPTaTokenizer.from_config(__a)
												_UpperCamelCase									=    model_from_config(__a)

												for key in from_config_output.keys():
																	self.assertTrue(tf.reduce_all(from_config_output[key] == out[key]))




		@slow
		def 		UpperCAmelCase				(   self)			->			Optional[int]:






							'''simple docstring'''
							for tf_tokenizer in self.tf_tokenizers:
												# for the test to run
												_UpperCamelCase									=    12_31_23

												for max_length in [3, 5, 10_24]:
																	_UpperCamelCase									=    tf.convert_to_tensor([self.test_sentences[0]])
																	_UpperCamelCase									=    tf_tokenizer(__a							,						max_length=__a)

																	_UpperCamelCase									=    out['''input_ids'''].numpy().shape[1]

																	assert out_length == max_length








"""simple docstring"""





# Imports
import numpy as np






class        _UpperCAmelCase:



		def __init__(   self							,						__a=None							,						__a=None							,						__a=None							,						__a=None							,						__a=None)			->			Dict:






							'''simple docstring'''
							self.set_matricies(red=__a							,						green=__a							,						blue=__a							,						red_edge=__a							,						nir=__a)



		def 		UpperCAmelCase				(   self							,						__a=None							,						__a=None							,						__a=None							,						__a=None							,						__a=None)			->			Dict:






							'''simple docstring'''
							if red is not None:
												_UpperCamelCase									=    red
							if green is not None:
												_UpperCamelCase									=    green
							if blue is not None:
												_UpperCamelCase									=    blue
							if red_edge is not None:
												_UpperCamelCase									=    red_edge
							if nir is not None:
												_UpperCamelCase									=    nir
							return True



		def 		UpperCAmelCase				(   self							,						__a=""							,						__a=None							,						__a=None							,						__a=None							,						__a=None							,						__a=None)			->			List[str]:






							'''simple docstring'''
							self.set_matricies(red=__a							,						green=__a							,						blue=__a							,						red_edge=__a							,						nir=__a)
							_UpperCamelCase									=    {
							    '''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 		UpperCAmelCase				(   self)			->			List[Any]:






							'''simple docstring'''
							return -0.18 + (1.17 * ((self.nir - self.red) / (self.nir + self.red)))



		def 		UpperCAmelCase				(   self)			->			Any:






							'''simple docstring'''
							return ((self.nir - self.redEdge) / (self.nir + self.redEdge)) / (
							    (self.nir - self.red) / (self.nir + self.red)
							)



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






							'''simple docstring'''
							return self.nir * (self.red / (self.green**2))



		def 		UpperCAmelCase				(   self)			->			str:






							'''simple docstring'''
							return (2 * self.green - self.red - self.blue) / (
							    2 * self.green + self.red + self.blue
							)



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






							'''simple docstring'''
							return (self.nir - self.red) / (self.nir + self.red)



		def 		UpperCAmelCase				(   self)			->			str:






							'''simple docstring'''
							return (self.nir - self.blue) / (self.nir + self.blue)



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






							'''simple docstring'''
							return (self.redEdge - self.red) / (self.redEdge + self.red)



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






							'''simple docstring'''
							return (self.nir - self.green) / (self.nir + self.green)



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






							'''simple docstring'''
							return (self.nir - (self.green + self.blue)) / (
							    self.nir + (self.green + self.blue)
							)



		def 		UpperCAmelCase				(   self)			->			Tuple:






							'''simple docstring'''
							return (self.nir - (self.green + self.red)) / (
							    self.nir + (self.green + self.red)
							)



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






							'''simple docstring'''
							return (self.nir - (self.blue + self.red)) / (self.nir + (self.blue + self.red))



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






							'''simple docstring'''
							return (self.nir - (self.green + self.red + self.blue)) / (
							    self.nir + (self.green + self.red + self.blue)
							)



		def 		UpperCAmelCase				(   self							,						__a=0.08							,						__a=1.22							,						__a=0.03)			->			Optional[Any]:






							'''simple docstring'''
							return a * (
							    (self.nir - a * self.red - b)
							    / (a * self.nir + self.red - a * b + x * (1 + a**2))
							)



		def 		UpperCAmelCase				(   self)			->			Dict:






							'''simple docstring'''
							return (0.1 * self.nir - self.blue) / (0.1 * self.nir + self.blue)



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






							'''simple docstring'''
							return (self.nir / self.green) - 1



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






							'''simple docstring'''
							return (self.nir / self.redEdge) - 1



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






							'''simple docstring'''
							return (self.red - self.blue) / self.red



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






							'''simple docstring'''
							_UpperCamelCase									=    self.ndvi()
							return ((ndvi + 0.5) / (abs(ndvi + 0.5))) * (abs(ndvi + 0.5) ** (1 / 2))



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






							'''simple docstring'''
							return self.nir - self.green



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






							'''simple docstring'''
							return 2.5 * (
							    (self.nir - self.red) / (self.nir + 6 * self.red - 7.5 * self.blue + 1)
							)



		def 		UpperCAmelCase				(   self)			->			Tuple:






							'''simple docstring'''
							_UpperCamelCase									=    (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 		UpperCAmelCase				(   self							,						__a=0.16)			->			Optional[Any]:






							'''simple docstring'''
							return (self.nir - self.green) / (self.nir + self.green + y)



		def 		UpperCAmelCase				(   self							,						__a=0.5)			->			Dict:






							'''simple docstring'''
							return ((self.nir - self.green) / (self.nir + self.green + n)) * (1 + n)



		def 		UpperCAmelCase				(   self)			->			Dict:






							'''simple docstring'''
							return np.arctan(
							    ((2 * self.red - self.green - self.blue) / 30.5) * (self.green - self.blue))



		def 		UpperCAmelCase				(   self							,						__a=None							,						__a=None)			->			Any:






							'''simple docstring'''
							return (self.nir - b) / (a * self.red)



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






							'''simple docstring'''
							return (self.nir / ((self.nir + self.red) / 2)) * (self.ndvi() + 1)



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






							'''simple docstring'''
							return (self.red + self.green + self.blue) / 30.5



		def 		UpperCAmelCase				(   self)			->			Any:






							'''simple docstring'''
							return self.nir / self.red



		def 		UpperCAmelCase				(   self)			->			Tuple:






							'''simple docstring'''
							return (self.rvi() - 1) / (self.rvi() + 1)



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






							'''simple docstring'''
							return (
							    (2 * self.nir + 1)
							    - ((2 * self.nir + 1) ** 2 - 8 * (self.nir - self.red)) ** (1 / 2)
							) / 2



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






							'''simple docstring'''
							return self.green / (self.nir + self.red + self.green)



		def 		UpperCAmelCase				(   self)			->			str:






							'''simple docstring'''
							return self.nir / (self.nir + self.red + self.green)



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






							'''simple docstring'''
							return self.red / (self.nir + self.red + self.green)



		def 		UpperCAmelCase				(   self)			->			Tuple:






							'''simple docstring'''
							return (self.green - self.red) / (self.green + self.red)



		def 		UpperCAmelCase				(   self)			->			Dict:






							'''simple docstring'''
							return (self.red - self.green) / (self.red + self.green)



		def 		UpperCAmelCase				(   self)			->			Any:






							'''simple docstring'''
							_UpperCamelCase									=    np.max([np.max(self.red), np.max(self.green), np.max(self.blue)])
							_UpperCamelCase									=    np.min([np.min(self.red), np.min(self.green), np.min(self.blue)])
							return (max_value - min_value) / max_value



		def 		UpperCAmelCase				(   self)			->			str:






							'''simple docstring'''
							return (2 * self.red - self.green - self.blue) / (self.green - self.blue)



		def 		UpperCAmelCase				(   self)			->			int:






							'''simple docstring'''
							return self.nir / self.red



		def 		UpperCAmelCase				(   self)			->			Any:






							'''simple docstring'''
							return (self.ndvi() + 0.5) ** (1 / 2)




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






							'''simple docstring'''
							return (self.nir - self.redEdge) / (self.nir + self.redEdge)






