

'''simple docstring'''
from math import sqrt


def  a__       (    _SCREAMING_SNAKE_CASE   :       int				)     ->					bool:


	"""simple docstring"""





	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				) and (
	    number >= 0
	), "'number' must been an int and positive"

	UpperCAmelCase_     :      int						=  True

	# 0 and 1 are none primes.
	if number <= 1:
		UpperCAmelCase_     :      List[Any]						=  False

	for divisor in range(2	,				int(round(sqrt(_SCREAMING_SNAKE_CASE				)				)				) + 1				):
		# if 'number' divisible by 'divisor' then sets 'status'
		# of false and break up the loop.
		if number % divisor == 0:
			UpperCAmelCase_     :      Dict						=  False
			break

    # precondition
	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				), "'status' must been from type bool"

	return status


def  a__       (    _SCREAMING_SNAKE_CASE   :       str				)     ->					List[str]:


	"""simple docstring"""





	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				) and (n > 2), "'N' must been an int and > 2"

	# beginList: contains all natural numbers from 2 up to N
	UpperCAmelCase_     :      Tuple						=  list(range(2	,				n + 1				)				)

	UpperCAmelCase_     :      Dict						=  []  # this list will be returns.

	# actual sieve of erathostenes
	for i in range(len(_SCREAMING_SNAKE_CASE				)				):
		for j in range(i + 1	,				len(_SCREAMING_SNAKE_CASE				)				):
			if (begin_list[i] != 0) and (begin_list[j] % begin_list[i] == 0):
				UpperCAmelCase_     :      List[Any]						=  0

    # filters actual prime numbers.
	UpperCAmelCase_     :      Any						=  [x for x in begin_list if x != 0]

	# precondition
	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				), "'ans' must been from type list"

	return ans


def  a__       (    _SCREAMING_SNAKE_CASE   :       str				)     ->					Tuple:


	"""simple docstring"""





	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				) and (n > 2), "'N' must been an int and > 2"

	UpperCAmelCase_     :      Union[str, Any]						=  []

	# iterates over all numbers between 2 up to N+1
	# if a number is prime then appends to list 'ans'
	for number in range(2	,				n + 1				):
		if is_prime(_SCREAMING_SNAKE_CASE				):
			ans.append(_SCREAMING_SNAKE_CASE				)

    # precondition
	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				), "'ans' must been from type list"

	return ans


def  a__       (    _SCREAMING_SNAKE_CASE   :       Optional[Any]				)     ->					List[str]:


	"""simple docstring"""





	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				) and number >= 0, "'number' must been an int and >= 0"

	UpperCAmelCase_     :      Optional[Any]						=  []  # this list will be returns of the function.

	# potential prime number factors.

	UpperCAmelCase_     :      Optional[int]						=  2

	UpperCAmelCase_     :      Optional[Any]						=  number

	if number == 0 or number == 1:
		ans.append(_SCREAMING_SNAKE_CASE				)

	# if 'number' not prime then builds the prime factorization of 'number'
	elif not is_prime(_SCREAMING_SNAKE_CASE				):
		while quotient != 1:
			if is_prime(_SCREAMING_SNAKE_CASE				) and (quotient % factor == 0):
				ans.append(_SCREAMING_SNAKE_CASE				)
				quotient /= factor
			else:
				factor += 1

	else:
		ans.append(_SCREAMING_SNAKE_CASE				)

	# precondition
	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				), "'ans' must been from type list"

	return ans


def  a__       (    _SCREAMING_SNAKE_CASE   :       Union[str, Any]				)     ->					int:


	"""simple docstring"""





	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				) and (
	    number >= 0
	), "'number' bust been an int and >= 0"

	UpperCAmelCase_     :      Tuple						=  0

	# prime factorization of 'number'
	UpperCAmelCase_     :      str						=  prime_factorization(_SCREAMING_SNAKE_CASE				)

	UpperCAmelCase_     :      Any						=  max(_SCREAMING_SNAKE_CASE				)

	# precondition
	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				), "'ans' must been from type int"

	return ans


def  a__       (    _SCREAMING_SNAKE_CASE   :       Tuple				)     ->					Union[str, Any]:


	"""simple docstring"""





	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				) and (
	    number >= 0
	), "'number' bust been an int and >= 0"

	UpperCAmelCase_     :      List[str]						=  0

	# prime factorization of 'number'
	UpperCAmelCase_     :      Any						=  prime_factorization(_SCREAMING_SNAKE_CASE				)

	UpperCAmelCase_     :      Optional[Any]						=  min(_SCREAMING_SNAKE_CASE				)

	# precondition
	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				), "'ans' must been from type int"

	return ans


def  a__       (    _SCREAMING_SNAKE_CASE   :       List[str]				)     ->					Tuple:


	"""simple docstring"""





	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				), "'number' must been an int"
	assert isinstance(number % 2 == 0	,				_SCREAMING_SNAKE_CASE				), "compare bust been from type bool"

	return number % 2 == 0


def  a__       (    _SCREAMING_SNAKE_CASE   :       List[Any]				)     ->					Dict:


	"""simple docstring"""





	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				), "'number' must been an int"
	assert isinstance(number % 2 != 0	,				_SCREAMING_SNAKE_CASE				), "compare bust been from type bool"

	return number % 2 != 0


def  a__       (    _SCREAMING_SNAKE_CASE   :       List[Any]				)     ->					Union[str, Any]:


	"""simple docstring"""





	assert (
	    isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				) and (number > 2) and is_even(_SCREAMING_SNAKE_CASE				)
	), "'number' must been an int, even and > 2"

	UpperCAmelCase_     :      Optional[Any]						=  []  # this list will returned

	# creates a list of prime numbers between 2 up to 'number'
	UpperCAmelCase_     :      Any						=  get_prime_numbers(_SCREAMING_SNAKE_CASE				)
	UpperCAmelCase_     :      List[str]						=  len(_SCREAMING_SNAKE_CASE				)

	# run variable for while-loops.
	UpperCAmelCase_     :      List[str]						=  0
	UpperCAmelCase_     :      Optional[Any]						=  None

	# exit variable. for break up the loops
	UpperCAmelCase_     :      Tuple						=  True

	while i < len_pn and loop:
		UpperCAmelCase_     :      Dict						=  i + 1

		while j < len_pn and loop:
			if prime_numbers[i] + prime_numbers[j] == number:
				UpperCAmelCase_     :      str						=  False
				ans.append(prime_numbers[i]				)
				ans.append(prime_numbers[j]				)

			j += 1

		i += 1

	# precondition
	assert (
	    isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				)
	    and (len(_SCREAMING_SNAKE_CASE				) == 2)
	    and (ans[0] + ans[1] == number)
	    and is_prime(ans[0]				)
	    and is_prime(ans[1]				)
	), "'ans' must contains two primes. And sum of elements must been eq 'number'"

	return ans


def  a__       (    _SCREAMING_SNAKE_CASE   :       str	,				_SCREAMING_SNAKE_CASE   :       Union[str, Any]				)     ->					str:


	"""simple docstring"""





	assert (
	    isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				)
	    and isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				)
	    and (numbera >= 0)
	    and (numbera >= 0)
	), "'number1' and 'number2' must been positive integer."

	UpperCAmelCase_     :      Any						=  0

	while numbera != 0:
		UpperCAmelCase_     :      Dict						=  numbera % numbera
		UpperCAmelCase_     :      str						=  numbera
		UpperCAmelCase_     :      Optional[int]						=  rest

	# precondition
	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				) and (
	    numbera >= 0
	), "'number' must been from type int and positive"

	return numbera


def  a__       (    _SCREAMING_SNAKE_CASE   :       int	,				_SCREAMING_SNAKE_CASE   :       Union[str, Any]				)     ->					List[Any]:


	"""simple docstring"""





	assert (
	    isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				)
	    and isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				)
	    and (numbera >= 1)
	    and (numbera >= 1)
	), "'number1' and 'number2' must been positive integer."

	UpperCAmelCase_     :      str						=  1  # actual answer that will be return.

	# for kgV (x,1)
	if numbera > 1 and numbera > 1:
		# builds the prime factorization of 'number1' and 'number2'
		UpperCAmelCase_     :      Dict						=  prime_factorization(_SCREAMING_SNAKE_CASE				)
		UpperCAmelCase_     :      Tuple						=  prime_factorization(_SCREAMING_SNAKE_CASE				)

	elif numbera == 1 or numbera == 1:
		UpperCAmelCase_     :      List[str]						=  []
		UpperCAmelCase_     :      List[Any]						=  []
		UpperCAmelCase_     :      str						=  max(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				)

	UpperCAmelCase_     :      Optional[Any]						=  0
	UpperCAmelCase_     :      Union[str, Any]						=  0

	UpperCAmelCase_     :      str						=  []  # captured numbers int both 'primeFac1' and 'primeFac2'

	# iterates through primeFac1
	for n in prime_fac_a:
		if n not in done:
			if n in prime_fac_a:
				UpperCAmelCase_     :      Optional[int]						=  prime_fac_a.count(_SCREAMING_SNAKE_CASE				)
				UpperCAmelCase_     :      Tuple						=  prime_fac_a.count(_SCREAMING_SNAKE_CASE				)

				for _ in range(max(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				)				):
					ans *= n

			else:
				UpperCAmelCase_     :      Any						=  prime_fac_a.count(_SCREAMING_SNAKE_CASE				)

				for _ in range(_SCREAMING_SNAKE_CASE				):
					ans *= n

			done.append(_SCREAMING_SNAKE_CASE				)

    # iterates through primeFac2
	for n in prime_fac_a:
		if n not in done:
			UpperCAmelCase_     :      Dict						=  prime_fac_a.count(_SCREAMING_SNAKE_CASE				)

			for _ in range(_SCREAMING_SNAKE_CASE				):
				ans *= n

			done.append(_SCREAMING_SNAKE_CASE				)

    # precondition
	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				) and (
	    ans >= 0
	), "'ans' must been from type int and positive"

	return ans


def  a__       (    _SCREAMING_SNAKE_CASE   :       Dict				)     ->					int:


	"""simple docstring"""





	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				) and (n >= 0), "'number' must been a positive int"

	UpperCAmelCase_     :      Tuple						=  0
	UpperCAmelCase_     :      Union[str, Any]						=  2  # this variable holds the answer

	while index < n:
		index += 1

		ans += 1  # counts to the next number

		# if ans not prime then
		# runs to the next prime number.
		while not is_prime(_SCREAMING_SNAKE_CASE				):
			ans += 1

    # precondition
	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				) and is_prime(
	    _SCREAMING_SNAKE_CASE				), "'ans' must been a prime number and from type int"

	return ans


def  a__       (    _SCREAMING_SNAKE_CASE   :       Tuple	,				_SCREAMING_SNAKE_CASE   :       Union[str, Any]				)     ->					List[Any]:


	"""simple docstring"""





	assert (
	    is_prime(_SCREAMING_SNAKE_CASE				) and is_prime(_SCREAMING_SNAKE_CASE				) and (p_number_a < p_number_a)
	), "The arguments must been prime numbers and 'pNumber1' < 'pNumber2'"

	UpperCAmelCase_     :      str						=  p_number_a + 1  # jump to the next number

	UpperCAmelCase_     :      Any						=  []  # this list will be returns.

	# if number is not prime then
	# fetch the next prime number.
	while not is_prime(_SCREAMING_SNAKE_CASE				):
		number += 1

	while number < p_number_a:
		ans.append(_SCREAMING_SNAKE_CASE				)

		number += 1

		# fetch the next prime number.
		while not is_prime(_SCREAMING_SNAKE_CASE				):
			number += 1

    # precondition
	assert (
	    isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				)
	    and ans[0] != p_number_a
	    and ans[len(_SCREAMING_SNAKE_CASE				) - 1] != p_number_a
	), "'ans' must been a list without the arguments"

	# 'ans' contains not 'pNumber1' and 'pNumber2' !
	return ans


def  a__       (    _SCREAMING_SNAKE_CASE   :       int				)     ->					int:


	"""simple docstring"""





	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				) and (n >= 1), "'n' must been int and >= 1"

	UpperCAmelCase_     :      Tuple						=  []  # will be returned.

	for divisor in range(1	,				n + 1				):
		if n % divisor == 0:
			ans.append(_SCREAMING_SNAKE_CASE				)

    # precondition
	assert ans[0] == 1 and ans[len(_SCREAMING_SNAKE_CASE				) - 1] == n, "Error in function getDivisiors(...)"

	return ans


def  a__       (    _SCREAMING_SNAKE_CASE   :       Union[str, Any]				)     ->					str:


	"""simple docstring"""





	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				) and (
	    number > 1
	), "'number' must been an int and >= 1"

	UpperCAmelCase_     :      List[Any]						=  get_divisors(_SCREAMING_SNAKE_CASE				)

	# precondition
	assert (
	    isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				)
	    and (divisors[0] == 1)
	    and (divisors[len(_SCREAMING_SNAKE_CASE				) - 1] == number)
	), "Error in help-function getDivisiors(...)"

	# summed all divisors up to 'number' (exclusive), hence [:-1]
	return sum(divisors[:-1]				) == number


def  a__       (    _SCREAMING_SNAKE_CASE   :       Optional[int]	,				_SCREAMING_SNAKE_CASE   :       int				)     ->					int:


	"""simple docstring"""





	assert (
	    isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				)
	    and isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				)
	    and (denominator != 0)
	), "The arguments must been from type int and 'denominator' != 0"

	# build the greatest common divisor of numerator and denominator.
	UpperCAmelCase_     :      int						=  gcd(abs(_SCREAMING_SNAKE_CASE				)	,				abs(_SCREAMING_SNAKE_CASE				)				)

	# precondition
	assert (
	    isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				)
	    and (numerator % gcd_of_fraction == 0)
	    and (denominator % gcd_of_fraction == 0)
	), "Error in function gcd(...,...)"

	return (numerator // gcd_of_fraction, denominator // gcd_of_fraction)


def  a__       (    _SCREAMING_SNAKE_CASE   :       int				)     ->					Dict:


	"""simple docstring"""





	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				) and (n >= 0), "'n' must been a int and >= 0"

	UpperCAmelCase_     :      str						=  1  # this will be return.

	for factor in range(1	,				n + 1				):
		ans *= factor

	return ans





def  a__       (    _SCREAMING_SNAKE_CASE   :       Any				)     ->					List[Any]:


	"""simple docstring"""





	assert isinstance(_SCREAMING_SNAKE_CASE	,				_SCREAMING_SNAKE_CASE				) and (n >= 0), "'n' must been an int and >= 0"

	UpperCAmelCase_     :      Dict						=  0
	UpperCAmelCase_     :      Any						=  1
	UpperCAmelCase_     :      Any						=  1  # this will be return

	for _ in range(n - 1				):
		UpperCAmelCase_     :      List[str]						=  ans
		ans += fiba
		UpperCAmelCase_     :      Dict						=  tmp

	return ans










from __future__ import annotations

import unittest

from transformers import AutoTokenizer, PegasusConfig, is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor
from ...test_pipeline_mixin import PipelineTesterMixin


if is_tf_available():
		import tensorflow as tf

		from transformers import TFAutoModelForSeqaSeqLM, TFPegasusForConditionalGeneration, TFPegasusModel

@require_tf
class 						__lowerCAmelCase      :
							UpperCamelCase__   	=    PegasusConfig
							UpperCamelCase__   	=    {}
							UpperCamelCase__   	=    '''gelu'''
							def __init__(		self		:int						, __magic_name__		:Optional[int]						, __magic_name__		:str=13						, __magic_name__		:List[Any]=7						, __magic_name__		:Optional[int]=True						, __magic_name__		:Optional[int]=False						, __magic_name__		:List[Any]=99						, __magic_name__		:int=32						, __magic_name__		:Tuple=2						, __magic_name__		:List[str]=4						, __magic_name__		:Dict=37						, __magic_name__		:Tuple=0.1						, __magic_name__		:Optional[Any]=0.1						, __magic_name__		:Dict=40						, __magic_name__		:Tuple=2						, __magic_name__		:Optional[Any]=1						, __magic_name__		:Dict=0						, ):







								'''simple docstring'''







								a									=				parent
								a									=				batch_size
								a									=				seq_length
								a									=				is_training
								a									=				use_labels
								a									=				vocab_size
								a									=				hidden_size
								a									=				num_hidden_layers
								a									=				num_attention_heads
								a									=				intermediate_size

								a									=				hidden_dropout_prob
								a									=				attention_probs_dropout_prob
								a									=				max_position_embeddings
								a									=				eos_token_id
								a									=				pad_token_id
								a									=				bos_token_id
							def  lowerCamelCase__				(		self		:str							):







								'''simple docstring'''







								a									=				ids_tensor([self.batch_size, self.seq_length - 1]						, self.vocab_size							)
								a									=				tf.expand_dims(tf.constant([self.eos_token_id] * self.batch_size							)						, 1							)
								a									=				tf.concat([input_ids, eos_tensor]						, axis=1							)

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

								a									=				self.config_cls(
								    vocab_size=self.vocab_size						, d_model=self.hidden_size						, encoder_layers=self.num_hidden_layers						, decoder_layers=self.num_hidden_layers						, encoder_attention_heads=self.num_attention_heads						, decoder_attention_heads=self.num_attention_heads						, encoder_ffn_dim=self.intermediate_size						, decoder_ffn_dim=self.intermediate_size						, dropout=self.hidden_dropout_prob						, attention_dropout=self.attention_probs_dropout_prob						, max_position_embeddings=self.max_position_embeddings						, eos_token_ids=[2]						, bos_token_id=self.bos_token_id						, pad_token_id=self.pad_token_id						, decoder_start_token_id=self.pad_token_id						, **self.config_updates						, )
								a									=				prepare_pegasus_inputs_dict(__magic_name__						, __magic_name__						, __magic_name__							)
								return config, inputs_dict





							def  lowerCamelCase__				(		self		:List[Any]						, __magic_name__		:Any						, __magic_name__		:str							):







								'''simple docstring'''







								a									=				TFPegasusModel(config=__magic_name__							).get_decoder()
								a									=				inputs_dict["""input_ids"""]

								a									=				input_ids[:1, :]
								a									=				inputs_dict["""attention_mask"""][:1, :]
								a									=				inputs_dict["""head_mask"""]
								a									=				1

								# first forward pass
								a									=				model(__magic_name__						, attention_mask=__magic_name__						, head_mask=__magic_name__						, use_cache=__magic_name__							)

								a							,					a									=				outputs.to_tuple()

								# create hypothetical next token and extent to next_input_ids
								a									=				ids_tensor((self.batch_size, 3)						, config.vocab_size							)
								a									=				tf.cast(ids_tensor((self.batch_size, 3)						, 2							)						, tf.inta							)

								# append to next input_ids and
								a									=				tf.concat([input_ids, next_tokens]						, axis=-1							)
								a									=				tf.concat([attention_mask, next_attn_mask]						, axis=-1							)

								a									=				model(__magic_name__						, attention_mask=__magic_name__							)[0]
								a									=				model(__magic_name__						, attention_mask=__magic_name__						, past_key_values=__magic_name__							)[0]

								self.parent.assertEqual(next_tokens.shape[1]						, output_from_past.shape[1]							)

								# select random slice
								a									=				int(ids_tensor((1,)						, output_from_past.shape[-1]							)							)
								a									=				output_from_no_past[:, -3:, random_slice_idx]
								a									=				output_from_past[:, :, random_slice_idx]

								# test that outputs are equal for slice
								tf.debugging.assert_near(__magic_name__						, __magic_name__						, rtol=1E-3							)







def 						__A						(      __lowerCamelCase				,     __lowerCamelCase				,     __lowerCamelCase				,     __lowerCamelCase=None				,     __lowerCamelCase=None				,     __lowerCamelCase=None				,     __lowerCamelCase=None				,     __lowerCamelCase=None				,     ) ->			Tuple:
	if attention_mask is None:
		a									=				tf.cast(tf.math.not_equal(__lowerCamelCase				,     config.pad_token_id       )				,     tf.inta       )
	if decoder_attention_mask is None:
		a									=				tf.concat(
		    [
		        tf.ones(decoder_input_ids[:, :1].shape				,     dtype=tf.inta       ),
		        tf.cast(tf.math.not_equal(decoder_input_ids[:, 1:]				,     config.pad_token_id       )				,     tf.inta       ),
		    ]				,     axis=-1				,     )
	if head_mask is None:
		a									=				tf.ones((config.encoder_layers, config.encoder_attention_heads)       )
	if decoder_head_mask is None:
		a									=				tf.ones((config.decoder_layers, config.decoder_attention_heads)       )
	if cross_attn_head_mask is None:
		a									=				tf.ones((config.decoder_layers, config.decoder_attention_heads)       )
	return {
	    "input_ids": input_ids,
	    "decoder_input_ids": decoder_input_ids,
	    "attention_mask": attention_mask,
	    "decoder_attention_mask": decoder_attention_mask,
	    "head_mask": head_mask,
	    "decoder_head_mask": decoder_head_mask,
	    "cross_attn_head_mask": cross_attn_head_mask,
	}

@require_tf
class 						__lowerCAmelCase      (      __magic_name__ ,			__magic_name__ ,			unittest.TestCase					):
							UpperCamelCase__   	=    (TFPegasusForConditionalGeneration, TFPegasusModel) if is_tf_available() else ()
							UpperCamelCase__   	=    (TFPegasusForConditionalGeneration,) if is_tf_available() else ()
							UpperCamelCase__   	=    (
							    {
							        '''conversational''': TFPegasusForConditionalGeneration,
							        '''feature-extraction''': TFPegasusModel,
							        '''summarization''': TFPegasusForConditionalGeneration,
							        '''text2text-generation''': TFPegasusForConditionalGeneration,
							        '''translation''': TFPegasusForConditionalGeneration,
							    }
							    if is_tf_available()
							    else {}
							)
							UpperCamelCase__   	=    True
							UpperCamelCase__   	=    False
							UpperCamelCase__   	=    False
							def  lowerCamelCase__				(		self		:List[str]							):







								'''simple docstring'''







								a									=				TFPegasusModelTester(self							)
								a									=				ConfigTester(self						, config_class=__magic_name__							)
							def  lowerCamelCase__				(		self		:Any							):







								'''simple docstring'''







								self.config_tester.run_common_tests()





							def  lowerCamelCase__				(		self		:Dict							):







								'''simple docstring'''







								a									=				self.model_tester.prepare_config_and_inputs_for_common()
								self.model_tester.check_decoder_model_past_large_inputs(*__magic_name__							)







@require_sentencepiece
@require_tokenizers
@require_tf
class 						__lowerCAmelCase      (      unittest.TestCase					):
							UpperCamelCase__   	=    [
							    ''' PG&E stated it scheduled the blackouts in response to forecasts for high winds amid dry conditions. The aim is to reduce the risk of wildfires. Nearly 800 thousand customers were scheduled to be affected by the shutoffs which were expected to last through at least midday tomorrow.''',
							    ''' The London trio are up for best UK act and best album, as well as getting two nominations in the best song category."We got told like this morning \'Oh I think you\'re nominated\'", said Dappy."And I was like \'Oh yeah, which one?\' And now we\'ve got nominated for four awards. I mean, wow!"Bandmate Fazer added: "We thought it\'s best of us to come down and mingle with everyone and say hello to the cameras. And now we find we\'ve got four nominations."The band have two shots at the best song prize, getting the nod for their Tynchy Stryder collaboration Number One, and single Strong Again.Their album Uncle B will also go up against records by the likes of Beyonce and Kanye West.N-Dubz picked up the best newcomer Mobo in 2007, but female member Tulisa said they wouldn\'t be too disappointed if they didn\'t win this time around."At the end of the day we\'re grateful to be where we are in our careers."If it don\'t happen then it don\'t happen - live to fight another day and keep on making albums and hits for the fans."Dappy also revealed they could be performing live several times on the night.The group will be doing Number One and also a possible rendition of the War Child single, I Got Soul.The charity song is a  re-working of The Killers\' All These Things That I\'ve Done and is set to feature artists like Chipmunk, Ironik and Pixie Lott.This year\'s Mobos will be held outside of London for the first time, in Glasgow on 30 September.N-Dubz said they were looking forward to performing for their Scottish fans and boasted about their recent shows north of the border."We just done Edinburgh the other day," said Dappy."We smashed up an N-Dubz show over there. We done Aberdeen about three or four months ago - we smashed up that show over there! Everywhere we go we smash it up!" ''',
							]
							UpperCamelCase__   	=    [
							    '''California\'s largest electricity provider has cut power to hundreds of thousands of customers in an effort to'''
							    ''' reduce the risk of wildfires.''',
							    '''N-Dubz have revealed they\'re "grateful" to have been nominated for four Mobo Awards.''',
							]  # differs slightly from pytorch, likely due to numerical differences in linear layers
							UpperCamelCase__   	=    '''google/pegasus-xsum'''
							@cached_property
							def  lowerCamelCase__				(		self		:Union[str, Any]							):







								'''simple docstring'''







								return AutoTokenizer.from_pretrained(self.model_name							)
							@cached_property
							def  lowerCamelCase__				(		self		:List[Any]							):







								'''simple docstring'''







								a									=				TFAutoModelForSeqaSeqLM.from_pretrained(self.model_name							)
								return model
							def  lowerCamelCase__				(		self		:int						, **__magic_name__		:int							):







								'''simple docstring'''







								a									=				self.translate_src_text(**__magic_name__							)
								assert self.expected_text == generated_words
							def  lowerCamelCase__				(		self		:Union[str, Any]						, **__magic_name__		:int							):







								'''simple docstring'''







								a									=				self.tokenizer(self.src_text						, **__magic_name__						, padding=__magic_name__						, return_tensors="""tf"""							)
								a									=				self.model.generate(
								    model_inputs.input_ids						, attention_mask=model_inputs.attention_mask						, num_beams=2						, use_cache=__magic_name__						, )
								a									=				self.tokenizer.batch_decode(generated_ids.numpy()						, skip_special_tokens=__magic_name__							)
								return generated_words





							@slow
							def  lowerCamelCase__				(		self		:Union[str, Any]							):







								'''simple docstring'''







								self._assert_generated_batch_equal_expected()

