
from transformers import (
    DPRContextEncoderTokenizer,
    DPRContextEncoderTokenizerFast,
    DPRQuestionEncoderTokenizer,
    DPRQuestionEncoderTokenizerFast,
    DPRReaderOutput,
    DPRReaderTokenizer,
    DPRReaderTokenizerFast,
)
from transformers.testing_utils import require_tokenizers, slow
from transformers.tokenization_utils_base import BatchEncoding

from ..bert.test_tokenization_bert import BertTokenizationTest




@require_tokenizers
class    __lowerCamelCase     (   lowerCamelCase__ ):
				a__:			Any									=						DPRContextEncoderTokenizer
				a__:			Tuple									=						DPRContextEncoderTokenizerFast
				a__:			Union[str, Any]									=						True




@require_tokenizers
class    __lowerCamelCase     (   lowerCamelCase__ ):
				a__:			List[Any]									=						DPRQuestionEncoderTokenizer
				a__:			Optional[Any]									=						DPRQuestionEncoderTokenizerFast
				a__:			int									=						True




@require_tokenizers
class    __lowerCamelCase     (   lowerCamelCase__ ):
				a__:			int									=						DPRReaderTokenizer
				a__:			int									=						DPRReaderTokenizerFast
				a__:			int									=						True




				@slow
				def 					UpperCAmelCase__	(							self      ):
							lowerCamelCase_ 		=     self.tokenizer_class.from_pretrained('''bert-base-uncased'''      )

							lowerCamelCase_ 		=     tokenizer.encode('''question sequence'''       ,	add_special_tokens=SCREAMING_SNAKE_CASE_      )
							lowerCamelCase_ 		=     tokenizer.encode('''title sequence'''       ,	add_special_tokens=SCREAMING_SNAKE_CASE_      )
							lowerCamelCase_ 		=     tokenizer.encode('''text sequence ''' * 4       ,	add_special_tokens=SCREAMING_SNAKE_CASE_      )
							lowerCamelCase_ 		=     [[101] + text_a + [102] + text_a + [102] + text_a]
							lowerCamelCase_ 		=     BatchEncoding({'''input_ids''': input_ids}      )

							lowerCamelCase_ 		=     [[0] * len(input_ids[0]      )]
							lowerCamelCase_ 		=     [[0] * len(input_ids[0]      )]
							lowerCamelCase_ 		=     [0]
							lowerCamelCase_ 		=     DPRReaderOutput(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_      )

							lowerCamelCase_		,   lowerCamelCase_ 		=     8, 9
							lowerCamelCase_ 		=     10
							lowerCamelCase_ 		=     10
							lowerCamelCase_ 		=     tokenizer.decode_best_spans(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_      )
							self.assertEqual(predicted_spans[0].start_index       ,	SCREAMING_SNAKE_CASE_      )
							self.assertEqual(predicted_spans[0].end_index       ,	SCREAMING_SNAKE_CASE_      )
							self.assertEqual(predicted_spans[0].doc_id       ,	0      )





				@slow
				def 					UpperCAmelCase__	(							self      ):
							lowerCamelCase_ 		=     self.tokenizer_class.from_pretrained('''bert-base-uncased'''      )

							lowerCamelCase_ 		=     tokenizer.encode('''question sequence'''       ,	add_special_tokens=SCREAMING_SNAKE_CASE_      )
							lowerCamelCase_ 		=     tokenizer.encode('''title sequence'''       ,	add_special_tokens=SCREAMING_SNAKE_CASE_      )
							lowerCamelCase_ 		=     tokenizer.encode('''text sequence'''       ,	add_special_tokens=SCREAMING_SNAKE_CASE_      )
							lowerCamelCase_ 		=     [101] + text_a + [102] + text_a + [102] + text_a
							lowerCamelCase_ 		=     tokenizer(questions=['''question sequence''']       ,	titles=['''title sequence''']       ,	texts=['''text sequence''']      )
							self.assertIn('''input_ids'''       ,	SCREAMING_SNAKE_CASE_      )
							self.assertIn('''attention_mask'''       ,	SCREAMING_SNAKE_CASE_      )
							self.assertListEqual(encoded_input['''input_ids'''][0]       ,	SCREAMING_SNAKE_CASE_      )





"""simple docstring"""


import warnings
from collections.abc import Callable
from typing import Any

import numpy
from matplotlib import pyplot

A_						       =				0.25 + 0.0J
A_						       =				-0.4 + 0.6J
A_						       =				-0.1 + 0.651J
A_						       =				-2.0
A_						       =				56
A_						       =				2.0
A_						       =				666






def    lowercase	(  lowerCAmelCase__  ,lowerCAmelCase__	):
			return numpy.exp(lowerCAmelCase__	) + c_parameter






def    lowercase	(  lowerCAmelCase__  ,lowerCAmelCase__	):
			return z_values * z_values + c_parameter






def    lowercase	(  lowerCAmelCase__  ,lowerCAmelCase__	):
			lowerCamelCase_ 		=     numpy.linspace(-window_size  ,lowerCAmelCase__  ,lowerCAmelCase__	)
			lowerCamelCase_ 		=     x.reshape((nb_pixels, 1)	)
			lowerCamelCase_ 		=     numpy.linspace(-window_size  ,lowerCAmelCase__  ,lowerCAmelCase__	)
			lowerCamelCase_ 		=     y.reshape((1, nb_pixels)	)
			return x + 1.0J * y






def    lowercase	(  lowerCAmelCase__  ,lowerCAmelCase__  ,lowerCAmelCase__  ,lowerCAmelCase__  ,lowerCAmelCase__ = None  ,):
			lowerCamelCase_ 		=     z_a.astype('''complex64'''	)
			for _ in range(lowerCAmelCase__	):
						lowerCamelCase_ 		=     eval_function(lowerCAmelCase__  ,lowerCAmelCase__	)
						if infinity is not None:
									numpy.nan_to_num(lowerCAmelCase__  ,copy=lowerCAmelCase__  ,nan=lowerCAmelCase__	)
									lowerCamelCase_ 		=     infinity
			return z_n






def    lowercase	(  lowerCAmelCase__  ,lowerCAmelCase__  ,lowerCAmelCase__  ,lowerCAmelCase__  ,):
			lowerCamelCase_ 		=     (abs(lowerCAmelCase__	)).transpose()
			lowerCamelCase_ 		=     abs_z_final[::-1, :]
			pyplot.matshow(abs_z_final < escape_radius	)
			pyplot.title(f"Julia set of ${function_label}$, $c={function_params}$"	)
			pyplot.show()






def    lowercase	(  ):
			warnings.filterwarnings(
			    '''ignore'''  ,category=lowerCAmelCase__  ,message='''overflow encountered in multiply'''	)
			warnings.filterwarnings(
			    '''ignore'''  ,category=lowerCAmelCase__  ,message='''invalid value encountered in multiply'''  ,)
			warnings.filterwarnings(
			    '''ignore'''  ,category=lowerCAmelCase__  ,message='''overflow encountered in absolute'''	)
			warnings.filterwarnings(
			    '''ignore'''  ,category=lowerCAmelCase__  ,message='''overflow encountered in exp'''	)


if __name__ == "__main__":
						A_						       =				prepare_grid(window_size, nb_pixels)

						ignore_overflow_warnings()  # See file header for explanations

						A_						       =				24
						A_						       =				2 * abs(c_cauliflower) + 1
						A_						       =				iterate_function(
						    eval_quadratic_polynomial,
						    c_cauliflower,
						    nb_iterations,
						    z_a,
						    infinity=1.1 * escape_radius,
						)
						show_results("""z^2+c""", c_cauliflower, escape_radius, z_final)

						A_						       =				64
						A_						       =				2 * abs(c_polynomial_a) + 1
						A_						       =				iterate_function(
						    eval_quadratic_polynomial,
						    c_polynomial_a,
						    nb_iterations,
						    z_a,
						    infinity=1.1 * escape_radius,
						)
						show_results("""z^2+c""", c_polynomial_a, escape_radius, z_final)

						A_						       =				161
						A_						       =				2 * abs(c_polynomial_a) + 1
						A_						       =				iterate_function(
						    eval_quadratic_polynomial,
						    c_polynomial_a,
						    nb_iterations,
						    z_a,
						    infinity=1.1 * escape_radius,
						)
						show_results("""z^2+c""", c_polynomial_a, escape_radius, z_final)

						A_						       =				12
						A_						       =				10000.0
						A_						       =				iterate_function(
						    eval_exponential,
						    c_exponential,
						    nb_iterations,
						    z_a + 2,
						    infinity=1.0e10,
						)
						show_results("""e^z+c""", c_exponential, escape_radius, z_final)



