






import os
import re
import shutil
import sys
import tempfile
import unittest

import black


A__			:    Tuple         =				os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, 'utils'))

import check_copies  # noqa: E402


# This is the reference code that will be used in the tests.
# If BertLMPredictionHead is changed in modeling_bert.py, this code needs to be manually updated.
A__			:    int         =				'    def __init__(self, config):\n        super().__init__()\n        self.transform = BertPredictionHeadTransform(config)\n\n        # The output weights are the same as the input embeddings, but there is\n        # an output-only bias for each token.\n        self.decoder = nn.Linear(config.hidden_size, config.vocab_size, bias=False)\n\n        self.bias = nn.Parameter(torch.zeros(config.vocab_size))\n\n        # Need a link between the two variables so that the bias is correctly resized with `resize_token_embeddings`\n        self.decoder.bias = self.bias\n\n    def forward(self, hidden_states):\n        hidden_states = self.transform(hidden_states)\n        hidden_states = self.decoder(hidden_states)\n        return hidden_states\n'
class    _UpperCAmelCase      ( unittest.TestCase			):

				"""simple docstring"""




				def        lowercase__     (  self		:					List[Any]						):

								'''simple docstring'''
								lowercase__     				=    tempfile.mkdtemp()
								os.makedirs(os.path.join(self.transformer_dir,						'''models/bert/'''						)						)
								lowercase__     				=    self.transformer_dir
								shutil.copy(
								    os.path.join(lowerCamelCase,						'''src/transformers/models/bert/modeling_bert.py'''						),						os.path.join(self.transformer_dir,						'''models/bert/modeling_bert.py'''						),						)




				def        lowercase__     (  self		:					Optional[int]						):

								'''simple docstring'''
								lowercase__     				=    '''src/transformers'''
								shutil.rmtree(self.transformer_dir						)




				def        lowercase__     (  self		:					Optional[int],						lowerCamelCase		:					str,						lowerCamelCase		:					List[str],						lowerCamelCase		:					Union[str, Any],						lowerCamelCase		:					Union[str, Any]=None						):

								'''simple docstring'''
								lowercase__     				=    comment + F"""\nclass {class_name}(nn.Module):\n""" + class_code
								if overwrite_result is not None:
												lowercase__     				=    comment + F"""\nclass {class_name}(nn.Module):\n""" + overwrite_result
								lowercase__     				=    black.Mode(target_versions={black.TargetVersion.PYaa},						line_length=119						)
								lowercase__     				=    black.format_str(lowerCamelCase,						mode=lowerCamelCase						)
								lowercase__     				=    os.path.join(self.transformer_dir,						'''new_code.py'''						)
								with open(lowerCamelCase,						'''w''',						newline='''\n'''						) as f:
												f.write(lowerCamelCase						)
								if overwrite_result is None:
												self.assertTrue(len(check_copies.is_copy_consistent(lowerCamelCase						)						) == 0						)
								else:
												check_copies.is_copy_consistent(f.name,						overwrite=lowerCamelCase						)
												with open(lowerCamelCase,						'''r'''						) as f:
																self.assertTrue(f.read(),						lowerCamelCase						)




				def        lowercase__     (  self		:					int						):

								'''simple docstring'''
								lowercase__     				=    check_copies.find_code_in_transformers('''models.bert.modeling_bert.BertLMPredictionHead'''						)
								self.assertEqual(lowerCamelCase,						lowerCamelCase						)




				def        lowercase__     (  self		:					Optional[Any]						):

								'''simple docstring'''
								self.check_copy_consistency(
								    '''# Copied from transformers.models.bert.modeling_bert.BertLMPredictionHead''',						'''BertLMPredictionHead''',						REFERENCE_CODE + '''\n''',						)

								# With no empty line at the end
								self.check_copy_consistency(
								    '''# Copied from transformers.models.bert.modeling_bert.BertLMPredictionHead''',						'''BertLMPredictionHead''',						lowerCamelCase,						)

								# Copy consistency with rename
								self.check_copy_consistency(
								    '''# Copied from transformers.models.bert.modeling_bert.BertLMPredictionHead with Bert->TestModel''',						'''TestModelLMPredictionHead''',						re.sub('''Bert''',						'''TestModel''',						lowerCamelCase						),						)

								# Copy consistency with a really long name
								lowercase__     				=    '''TestModelWithAReallyLongNameBecauseSomePeopleLikeThatForSomeReason'''
								self.check_copy_consistency(
								    F"""# Copied from transformers.models.bert.modeling_bert.BertLMPredictionHead with Bert->{long_class_name}""",						F"""{long_class_name}LMPredictionHead""",						re.sub('''Bert''',						lowerCamelCase,						lowerCamelCase						),						)

								# Copy consistency with overwrite
								self.check_copy_consistency(
								    '''# Copied from transformers.models.bert.modeling_bert.BertLMPredictionHead with Bert->TestModel''',						'''TestModelLMPredictionHead''',						lowerCamelCase,						overwrite_result=re.sub('''Bert''',						'''TestModel''',						lowerCamelCase						),						)




				def        lowercase__     (  self		:					Union[str, Any]						):

								'''simple docstring'''
								lowercase__     				=    check_copies.LOCALIZED_READMES['''README_zh-hans.md''']

								lowercase__     				=    (
								    '''1. **[ALBERT](https://huggingface.co/transformers/model_doc/albert.html)** (from Google Research and the'''
								    ''' Toyota Technological Institute at Chicago) released with the paper [ALBERT: A Lite BERT for'''
								    ''' Self-supervised Learning of Language Representations](https://arxiv.org/abs/1909.11942), by Zhenzhong'''
								    ''' Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut.\n1.'''
								    ''' **[DistilBERT](https://huggingface.co/transformers/model_doc/distilbert.html)** (from HuggingFace),'''
								    ''' released together with the paper [DistilBERT, a distilled version of BERT: smaller, faster, cheaper and'''
								    ''' lighter](https://arxiv.org/abs/1910.01108) by Victor Sanh, Lysandre Debut and Thomas Wolf. The same'''
								    ''' method has been applied to compress GPT2 into'''
								    ''' [DistilGPT2](https://github.com/huggingface/transformers/tree/main/examples/distillation), RoBERTa into'''
								    ''' [DistilRoBERTa](https://github.com/huggingface/transformers/tree/main/examples/distillation),'''
								    ''' Multilingual BERT into'''
								    ''' [DistilmBERT](https://github.com/huggingface/transformers/tree/main/examples/distillation) and a German'''
								    ''' version of DistilBERT.\n1. **[ELECTRA](https://huggingface.co/transformers/model_doc/electra.html)**'''
								    ''' (from Google Research/Stanford University) released with the paper [ELECTRA: Pre-training text encoders'''
								    ''' as discriminators rather than generators](https://arxiv.org/abs/2003.10555) by Kevin Clark, Minh-Thang'''
								    ''' Luong, Quoc V. Le, Christopher D. Manning.'''
								)
								lowercase__     				=    (
								    '''1. **[ALBERT](https://huggingface.co/transformers/model_doc/albert.html)** (来自 Google Research and the'''
								    ''' Toyota Technological Institute at Chicago) 伴随论文 [ALBERT: A Lite BERT for Self-supervised Learning of'''
								    ''' Language Representations](https://arxiv.org/abs/1909.11942), 由 Zhenzhong Lan, Mingda Chen, Sebastian'''
								    ''' Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut 发布。\n'''
								)
								lowercase__     				=    (
								    '''1. **[ALBERT](https://huggingface.co/transformers/model_doc/albert.html)** (来自 Google Research and the'''
								    ''' Toyota Technological Institute at Chicago) 伴随论文 [ALBERT: A Lite BERT for Self-supervised Learning of'''
								    ''' Language Representations](https://arxiv.org/abs/1909.11942), 由 Zhenzhong Lan, Mingda Chen, Sebastian'''
								    ''' Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut 发布。\n1.'''
								    ''' **[DistilBERT](https://huggingface.co/transformers/model_doc/distilbert.html)** (来自 HuggingFace) 伴随论文'''
								    ''' [DistilBERT, a distilled version of BERT: smaller, faster, cheaper and'''
								    ''' lighter](https://arxiv.org/abs/1910.01108) 由 Victor Sanh, Lysandre Debut and Thomas Wolf 发布。 The same'''
								    ''' method has been applied to compress GPT2 into'''
								    ''' [DistilGPT2](https://github.com/huggingface/transformers/tree/main/examples/distillation), RoBERTa into'''
								    ''' [DistilRoBERTa](https://github.com/huggingface/transformers/tree/main/examples/distillation),'''
								    ''' Multilingual BERT into'''
								    ''' [DistilmBERT](https://github.com/huggingface/transformers/tree/main/examples/distillation) and a German'''
								    ''' version of DistilBERT.\n1. **[ELECTRA](https://huggingface.co/transformers/model_doc/electra.html)** (来自'''
								    ''' Google Research/Stanford University) 伴随论文 [ELECTRA: Pre-training text encoders as discriminators rather'''
								    ''' than generators](https://arxiv.org/abs/2003.10555) 由 Kevin Clark, Minh-Thang Luong, Quoc V. Le,'''
								    ''' Christopher D. Manning 发布。\n'''
								)

								lowercase__				,		lowercase__     				=    check_copies.convert_to_localized_md(
								    lowerCamelCase,						lowerCamelCase,						localized_readme['''format_model_list''']						)

								self.assertFalse(lowerCamelCase						)
								self.assertEqual(lowerCamelCase,						lowerCamelCase						)

								lowercase__				,		lowercase__     				=    check_copies.convert_to_localized_md(
								    lowerCamelCase,						lowerCamelCase,						localized_readme['''format_model_list''']						)

								# Check whether the number of models is equal to README.md after conversion.
								self.assertTrue(lowerCamelCase						)

								lowercase__     				=    (
								    '''1. **[ALBERT](https://huggingface.co/transformers/model_doc/albert.html)** (from Google Research and the'''
								    ''' Toyota Technological Institute at Chicago) released with the paper [ALBERT: A Lite BERT for'''
								    ''' Self-supervised Learning of Language Representations](https://arxiv.org/abs/1909.11942), by Zhenzhong'''
								    ''' Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut.'''
								)
								lowercase__     				=    (
								    '''1. **[ALBERT](https://huggingface.co/transformers/main/model_doc/albert.html)** (来自 Google Research and'''
								    ''' the Toyota Technological Institute at Chicago) 伴随论文 [ALBERT: A Lite BERT for Self-supervised Learning of'''
								    ''' Language Representations](https://arxiv.org/abs/1909.11942), 由 Zhenzhong Lan, Mingda Chen, Sebastian'''
								    ''' Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut 发布。\n'''
								)
								lowercase__     				=    (
								    '''1. **[ALBERT](https://huggingface.co/transformers/model_doc/albert.html)** (来自 Google Research and the'''
								    ''' Toyota Technological Institute at Chicago) 伴随论文 [ALBERT: A Lite BERT for Self-supervised Learning of'''
								    ''' Language Representations](https://arxiv.org/abs/1909.11942), 由 Zhenzhong Lan, Mingda Chen, Sebastian'''
								    ''' Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut 发布。\n'''
								)

								lowercase__				,		lowercase__     				=    check_copies.convert_to_localized_md(
								    lowerCamelCase,						lowerCamelCase,						localized_readme['''format_model_list''']						)

								# Check if the model link is synchronized.
								self.assertEqual(lowerCamelCase,						lowerCamelCase						)












from math import sqrt






def 						a    (		lowerCamelCase_       ):






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

				lowercase__     				=    True

				# 0 and 1 are none primes.
				if number <= 1:
								lowercase__     				=    False

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

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

				return status






def 						a    (		lowerCamelCase_       ):






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

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

				lowercase__     				=    []  # this list will be returns.

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

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

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

				return ans






def 						a    (		lowerCamelCase_       ):






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

				lowercase__     				=    []

				# 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(lowerCamelCase_       ):
												ans.append(lowerCamelCase_       )

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

				return ans






def 						a    (		lowerCamelCase_       ):






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

				lowercase__     				=    []  # this list will be returns of the function.

				# potential prime number factors.

				lowercase__     				=    2

				lowercase__     				=    number

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

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

				else:
								ans.append(lowerCamelCase_       )

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

				return ans






def 						a    (		lowerCamelCase_       ):






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

				lowercase__     				=    0

				# prime factorization of 'number'
				lowercase__     				=    prime_factorization(lowerCamelCase_       )

				lowercase__     				=    max(lowerCamelCase_       )

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

				return ans






def 						a    (		lowerCamelCase_       ):






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

				lowercase__     				=    0

				# prime factorization of 'number'
				lowercase__     				=    prime_factorization(lowerCamelCase_       )

				lowercase__     				=    min(lowerCamelCase_       )

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

				return ans






def 						a    (		lowerCamelCase_       ):






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

				return number % 2 == 0






def 						a    (		lowerCamelCase_       ):






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

				return number % 2 != 0






def 						a    (		lowerCamelCase_       ):






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

				lowercase__     				=    []  # this list will returned

				# creates a list of prime numbers between 2 up to 'number'
				lowercase__     				=    get_prime_numbers(lowerCamelCase_       )
				lowercase__     				=    len(lowerCamelCase_       )

				# run variable for while-loops.
				lowercase__     				=    0
				lowercase__     				=    None

				# exit variable. for break up the loops
				lowercase__     				=    True

				while i < len_pn and loop:
								lowercase__     				=    i + 1

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

												j += 1

								i += 1

				# precondition
				assert (
				    isinstance(lowerCamelCase_	,     lowerCamelCase_       )
				    and (len(lowerCamelCase_       ) == 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    (		lowerCamelCase_	,     lowerCamelCase_       ):






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

				lowercase__     				=    0

				while numbera != 0:
								lowercase__     				=    numbera % numbera
								lowercase__     				=    numbera
								lowercase__     				=    rest

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

				return numbera






def 						a    (		lowerCamelCase_	,     lowerCamelCase_       ):






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

				lowercase__     				=    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'
								lowercase__     				=    prime_factorization(lowerCamelCase_       )
								lowercase__     				=    prime_factorization(lowerCamelCase_       )

				elif numbera == 1 or numbera == 1:
								lowercase__     				=    []
								lowercase__     				=    []
								lowercase__     				=    max(lowerCamelCase_	,     lowerCamelCase_       )

				lowercase__     				=    0
				lowercase__     				=    0

				lowercase__     				=    []  # 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:
																lowercase__     				=    prime_fac_a.count(lowerCamelCase_       )
																lowercase__     				=    prime_fac_a.count(lowerCamelCase_       )

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

												else:
																lowercase__     				=    prime_fac_a.count(lowerCamelCase_       )

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

												done.append(lowerCamelCase_       )

    # iterates through primeFac2
				for n in prime_fac_a:
								if n not in done:
												lowercase__     				=    prime_fac_a.count(lowerCamelCase_       )

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

												done.append(lowerCamelCase_       )

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

				return ans






def 						a    (		lowerCamelCase_       ):






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

				lowercase__     				=    0
				lowercase__     				=    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(lowerCamelCase_       ):
												ans += 1

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

				return ans






def 						a    (		lowerCamelCase_	,     lowerCamelCase_       ):






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

				lowercase__     				=    p_number_a + 1  # jump to the next number

				lowercase__     				=    []  # this list will be returns.

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

				while number < p_number_a:
								ans.append(lowerCamelCase_       )

								number += 1

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

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

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






def 						a    (		lowerCamelCase_       ):






				'''simple docstring'''
				assert isinstance(lowerCamelCase_	,     lowerCamelCase_       ) and (n >= 1), "'n' must been int and >= 1"

				lowercase__     				=    []  # will be returned.

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

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

				return ans






def 						a    (		lowerCamelCase_       ):






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

				lowercase__     				=    get_divisors(lowerCamelCase_       )

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

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






def 						a    (		lowerCamelCase_	,     lowerCamelCase_       ):






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

				# build the greatest common divisor of numerator and denominator.
				lowercase__     				=    gcd(abs(lowerCamelCase_       )	,     abs(lowerCamelCase_       )       )

				# precondition
				assert (
				    isinstance(lowerCamelCase_	,     lowerCamelCase_       )
				    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    (		lowerCamelCase_       ):






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

				lowercase__     				=    1  # this will be return.

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

				return ans






def 						a    (		lowerCamelCase_       ):






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

				lowercase__     				=    0
				lowercase__     				=    1
				lowercase__     				=    1  # this will be return

				for _ in range(n - 1       ):
								lowercase__     				=    ans
								ans += fiba
								lowercase__     				=    tmp

				return ans




