





'''simple docstring'''







from math import sqrt

def    __UpperCamelCase	(	a    : int     ) ->bool:
 assert isinstance(a					,   a     ) and (
     number >= 0
 ), "'number' must been an int and positive"

 snake_case				=			True

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

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

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

 return status

def    __UpperCamelCase	(	a    : str     ) ->Any:
 assert isinstance(a					,   a     ) and (n > 2), "'N' must been an int and > 2"

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

 snake_case				=			[]  # this list will be returns.

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

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

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

 return ans

def    __UpperCamelCase	(	a    : Tuple     ) ->Union[str, Any]:
 assert isinstance(a					,   a     ) and (n > 2), "'N' must been an int and > 2"

 snake_case				=			[]

 # 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(a     ):
   ans.append(a     )

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

 return ans

def    __UpperCamelCase	(	a    : Any     ) ->int:
 assert isinstance(a					,   a     ) and number >= 0, "'number' must been an int and >= 0"

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

 # potential prime number factors.

 snake_case				=			2

 snake_case				=			number

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

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

 else:
  ans.append(a     )

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

 return ans

def    __UpperCamelCase	(	a    : Optional[Any]     ) ->Tuple:
 assert isinstance(a					,   a     ) and (
     number >= 0
 ), "'number' bust been an int and >= 0"

 snake_case				=			0

 # prime factorization of 'number'
 snake_case				=			prime_factorization(a     )

 snake_case				=			max(a     )

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

 return ans

def    __UpperCamelCase	(	a    : Any     ) ->Tuple:
 assert isinstance(a					,   a     ) and (
     number >= 0
 ), "'number' bust been an int and >= 0"

 snake_case				=			0

 # prime factorization of 'number'
 snake_case				=			prime_factorization(a     )

 snake_case				=			min(a     )

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

 return ans

def    __UpperCamelCase	(	a    : Union[str, Any]     ) ->Optional[Any]:
 assert isinstance(a					,   a     ), "'number' must been an int"
 assert isinstance(number % 2 == 0					,   a     ), "compare bust been from type bool"

 return number % 2 == 0

def    __UpperCamelCase	(	a    : List[str]     ) ->Optional[Any]:
 assert isinstance(a					,   a     ), "'number' must been an int"
 assert isinstance(number % 2 != 0					,   a     ), "compare bust been from type bool"

 return number % 2 != 0

def    __UpperCamelCase	(	a    : List[Any]     ) ->Any:
 assert (
     isinstance(a					,   a     ) and (number > 2) and is_even(a     )
 ), "'number' must been an int, even and > 2"

 snake_case				=			[]  # this list will returned

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

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

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

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

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

   j += 1

  i += 1

 # precondition
 assert (
     isinstance(a					,   a     )
     and (len(a     ) == 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    __UpperCamelCase	(	a    : Optional[int]					,   a    : Tuple     ) ->str:
 assert (
     isinstance(a					,   a     )
     and isinstance(a					,   a     )
     and (numbera >= 0)
     and (numbera >= 0)
 ), "'number1' and 'number2' must been positive integer."

 snake_case				=			0

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

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

 return numbera

def    __UpperCamelCase	(	a    : Any					,   a    : str     ) ->str:
 assert (
     isinstance(a					,   a     )
     and isinstance(a					,   a     )
     and (numbera >= 1)
     and (numbera >= 1)
 ), "'number1' and 'number2' must been positive integer."

 snake_case				=			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'
  snake_case				=			prime_factorization(a     )
  snake_case				=			prime_factorization(a     )

 elif numbera == 1 or numbera == 1:
  snake_case				=			[]
  snake_case				=			[]
  snake_case				=			max(a					,   a     )

 snake_case				=			0
 snake_case				=			0

 snake_case				=			[]  # 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:
    snake_case				=			prime_fac_a.count(a     )
    snake_case				=			prime_fac_a.count(a     )

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

   else:
    snake_case				=			prime_fac_a.count(a     )

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

   done.append(a     )

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

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

   done.append(a     )

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

 return ans

def    __UpperCamelCase	(	a    : List[str]     ) ->Optional[Any]:
 assert isinstance(a					,   a     ) and (n >= 0), "'number' must been a positive int"

 snake_case				=			0
 snake_case				=			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(a     ):
   ans += 1

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

 return ans

def    __UpperCamelCase	(	a    : Union[str, Any]					,   a    : int     ) ->Union[str, Any]:
 assert (
     is_prime(a     ) and is_prime(a     ) and (p_number_a < p_number_a)
 ), "The arguments must been prime numbers and 'pNumber1' < 'pNumber2'"

 snake_case				=			p_number_a + 1  # jump to the next number

 snake_case				=			[]  # this list will be returns.

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

 while number < p_number_a:
  ans.append(a     )

  number += 1

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

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

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

def    __UpperCamelCase	(	a    : Any     ) ->Dict:
 assert isinstance(a					,   a     ) and (n >= 1), "'n' must been int and >= 1"

 snake_case				=			[]  # will be returned.

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

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

 return ans

def    __UpperCamelCase	(	a    : Union[str, Any]     ) ->Optional[int]:
 assert isinstance(a					,   a     ) and (
     number > 1
 ), "'number' must been an int and >= 1"

 snake_case				=			get_divisors(a     )

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

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

def    __UpperCamelCase	(	a    : List[str]					,   a    : int     ) ->List[str]:
 assert (
     isinstance(a					,   a     )
     and isinstance(a					,   a     )
     and (denominator != 0)
 ), "The arguments must been from type int and 'denominator' != 0"

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

 # precondition
 assert (
     isinstance(a					,   a     )
     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    __UpperCamelCase	(	a    : Any     ) ->Any:
 assert isinstance(a					,   a     ) and (n >= 0), "'n' must been a int and >= 0"

 snake_case				=			1  # this will be return.

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

 return ans






def    __UpperCamelCase	(	a    : Tuple     ) ->Tuple:
 assert isinstance(a					,   a     ) and (n >= 0), "'n' must been an int and >= 0"

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

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

 return ans








'''simple docstring'''







import argparse

import torch
from torch import nn

from transformers import SpeechaTextConfig, SpeechaTextForConditionalGeneration

def    __UpperCamelCase	(	a    : Optional[int]     ) ->Dict:
 snake_case				=			[
     '''encoder.version''',
     '''decoder.version''',
     '''model.encoder.version''',
     '''model.decoder.version''',
     '''decoder.output_projection.weight''',
     '''_float_tensor''',
     '''encoder.embed_positions._float_tensor''',
     '''decoder.embed_positions._float_tensor''',
 ]
 for k in ignore_keys:
  state_dict.pop(a					,   a     )

def    __UpperCamelCase	(	a    : Optional[Any]     ) ->int:
 snake_case				=			list(s_dict.keys()     )
 for key in keys:
  if "transformer_layers" in key:
   snake_case				=			s_dict.pop(a     )
  elif "subsample" in key:
   snake_case				=			s_dict.pop(a     )

def    __UpperCamelCase	(	a    : Optional[int]     ) ->Optional[int]:
 snake_case				,		snake_case				=			emb.weight.shape
 snake_case				=			nn.Linear(a					,   a					,   bias=a     )
 snake_case				=			emb.weight.data
 return lin_layer

def    __UpperCamelCase	(	a    : Any					,   a    : Tuple     ) ->Tuple:
 snake_case				=			torch.load(a					,   map_location='''cpu'''     )
 snake_case				=			mam_aaa['''args''']
 snake_case				=			mam_aaa['''model''']
 snake_case				=			state_dict['''decoder.output_projection.weight''']

 remove_ignore_keys_(a     )
 rename_keys(a     )

 snake_case				=			state_dict['''decoder.embed_tokens.weight'''].shape[0]

 snake_case				=			args.share_decoder_input_output_embed

 snake_case				=			[int(a     ) for i in args.conv_kernel_sizes.split(''','''     )]
 snake_case				=			SpeechaTextConfig(
     vocab_size=a					,   max_source_positions=args.max_source_positions					,   max_target_positions=args.max_target_positions					,   encoder_layers=args.encoder_layers					,   decoder_layers=args.decoder_layers					,   encoder_attention_heads=args.encoder_attention_heads					,   decoder_attention_heads=args.decoder_attention_heads					,   encoder_ffn_dim=args.encoder_ffn_embed_dim					,   decoder_ffn_dim=args.decoder_ffn_embed_dim					,   d_model=args.encoder_embed_dim					,   dropout=args.dropout					,   attention_dropout=args.attention_dropout					,   activation_dropout=args.activation_dropout					,   activation_function='''relu'''					,   num_conv_layers=len(a     )					,   conv_channels=args.conv_channels					,   conv_kernel_sizes=a					,   input_feat_per_channel=args.input_feat_per_channel					,   input_channels=args.input_channels					,   tie_word_embeddings=a					,   num_beams=5					,   max_length=200					,   use_cache=a					,   decoder_start_token_id=2					,   early_stopping=a					,   )

 snake_case				=			SpeechaTextForConditionalGeneration(a     )
 snake_case				,		snake_case				=			model.model.load_state_dict(a					,   strict=a     )
 if len(a     ) > 0 and not set(a     ) <= {
     "encoder.embed_positions.weights",
     "decoder.embed_positions.weights",
 }:
  raise ValueError(
      '''Only `encoder.embed_positions.weights` and `decoder.embed_positions.weights`  are allowed to be missing,'''
      f""" but all the following weights are missing {missing}"""     )

 if tie_embeds:
  snake_case				=			make_linear_from_emb(model.model.decoder.embed_tokens     )
 else:
  snake_case				=			lm_head_weights

 model.save_pretrained(a     )


if __name__ == "__main__":
   _lowercase       						=			argparse.ArgumentParser()
   # Required parameters
   parser.add_argument('--fairseq_path', type=str, help='Path to the fairseq model (.pt) file.')
   parser.add_argument('--pytorch_dump_folder_path', default=None, type=str, help='Path to the output PyTorch model.')
   _lowercase       						=			parser.parse_args()
   convert_fairseq_sat_checkpoint_to_tfms(args.fairseq_path, args.pytorch_dump_folder_path)

