


'''simple docstring'''
from collections import OrderedDict
from typing import Any, List, Mapping, Optional

from ... import PreTrainedTokenizer, TensorType, is_torch_available
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast, PatchingSpec
from ...utils import logging


__magic_name__ : int					=logging.get_logger(__name__)

__magic_name__ : str					={
    "EleutherAI/gpt-j-6B": "https://huggingface.co/EleutherAI/gpt-j-6B/resolve/main/config.json",
    # See all GPT-J models at https://huggingface.co/models?filter=gpt_j
}






class 		UpperCamelCase_		(       A ):





						"""simple docstring"""




						UpperCAmelCase__						:							Optional[int]       =  "gptj"
						UpperCAmelCase__						:							Tuple       =  {
						    "max_position_embeddings": "n_positions",
						    "hidden_size": "n_embd",
						    "num_attention_heads": "n_head",
						    "num_hidden_layers": "n_layer",
						}
						def __init__(			self					:       Any						,					_lowerCamelCase					:       Dict=5_04_00						,					_lowerCamelCase					:       List[Any]=20_48						,					_lowerCamelCase					:       int=40_96						,					_lowerCamelCase					:       List[str]=28						,					_lowerCamelCase					:       Any=16						,					_lowerCamelCase					:       Optional[Any]=64						,					_lowerCamelCase					:       Dict=None						,					_lowerCamelCase					:       int="gelu_new"						,					_lowerCamelCase					:       int=0.0						,					_lowerCamelCase					:       Dict=0.0						,					_lowerCamelCase					:       Union[str, Any]=0.0						,					_lowerCamelCase					:       Dict=1e-5						,					_lowerCamelCase					:       Dict=0.02						,					_lowerCamelCase					:       str=True						,					_lowerCamelCase					:       str=5_02_56						,					_lowerCamelCase					:       Any=5_02_56						,					_lowerCamelCase					:       Optional[int]=False						,					**_lowerCamelCase					:       Dict						,					)				->       Optional[Any]:
										__magic_name__							=			vocab_size
										__magic_name__							=			n_positions
										__magic_name__							=			n_embd
										__magic_name__							=			n_layer
										__magic_name__							=			n_head
										__magic_name__							=			n_inner
										__magic_name__							=			rotary_dim
										__magic_name__							=			activation_function
										__magic_name__							=			resid_pdrop
										__magic_name__							=			embd_pdrop
										__magic_name__							=			attn_pdrop
										__magic_name__							=			layer_norm_epsilon
										__magic_name__							=			initializer_range
										__magic_name__							=			use_cache

										__magic_name__							=			bos_token_id
										__magic_name__							=			eos_token_id

										super().__init__(
										    bos_token_id=_lowerCamelCase						,					eos_token_id=_lowerCamelCase						,					tie_word_embeddings=_lowerCamelCase						,					**_lowerCamelCase	)






class 		UpperCamelCase_		(       A ):





						"""simple docstring"""




						def __init__(			self					:       List[str]						,					_lowerCamelCase					:       PretrainedConfig						,					_lowerCamelCase					:       str = "default"						,					_lowerCamelCase					:       List[PatchingSpec] = None						,					_lowerCamelCase					:       bool = False						,					)				->       Optional[Any]:
										super().__init__(_lowerCamelCase						,					task=_lowerCamelCase						,					patching_specs=_lowerCamelCase						,					use_past=_lowerCamelCase	)
										if not getattr(self._config						,					"pad_token_id"						,					_lowerCamelCase	):
														# TODO: how to do that better?
														__magic_name__							=			0
						@property
						def        __A       (			self					:       List[str]	)				->       Mapping[str, Mapping[int, str]]:
										__magic_name__							=			OrderedDict({"input_ids": {0: "batch", 1: "sequence"}}	)
										if self.use_past:
														self.fill_with_past_key_values_(_lowerCamelCase						,					direction="inputs"	)
														__magic_name__							=			{0: "batch", 1: "past_sequence + sequence"}
										else:
														__magic_name__							=			{0: "batch", 1: "sequence"}

										return common_inputs
						@property
						def        __A       (			self					:       Optional[int]	)				->       int:
										return self._config.n_layer
						@property
						def        __A       (			self					:       str	)				->       int:
										return self._config.n_head
						def        __A       (			self					:       Union[str, Any]						,					_lowerCamelCase					:       PreTrainedTokenizer						,					_lowerCamelCase					:       int = -1						,					_lowerCamelCase					:       int = -1						,					_lowerCamelCase					:       bool = False						,					_lowerCamelCase					:       Optional[TensorType] = None						,					)				->       Mapping[str, Any]:
										__magic_name__							=			super(_lowerCamelCase						,					self	).generate_dummy_inputs(
										    _lowerCamelCase						,					batch_size=_lowerCamelCase						,					seq_length=_lowerCamelCase						,					is_pair=_lowerCamelCase						,					framework=_lowerCamelCase	)

										# We need to order the input in the way they appears in the forward()
										__magic_name__							=			OrderedDict({"input_ids": common_inputs["input_ids"]}	)

										# Need to add the past_keys
										if self.use_past:
														if not is_torch_available():
																		raise ValueError("Cannot generate dummy past_keys inputs without PyTorch installed."	)
														else:
																		import torch

																		__magic_name__	,   __magic_name__							=			common_inputs["input_ids"].shape
																		# Not using the same length for past_key_values
																		__magic_name__							=			seqlen + 2
																		__magic_name__							=			(
																		    batch,
																		    self.num_attention_heads,
																		    past_key_values_length,
																		    self._config.hidden_size // self.num_attention_heads,
																		)
																		__magic_name__							=			[
																		    (torch.zeros(_lowerCamelCase	), torch.zeros(_lowerCamelCase	)) for _ in range(self.num_layers	)
																		]

										__magic_name__							=			common_inputs["attention_mask"]
										if self.use_past:
														__magic_name__							=			ordered_inputs["attention_mask"].dtype
														__magic_name__							=			torch.cat(
														    [ordered_inputs["attention_mask"], torch.ones(_lowerCamelCase						,					_lowerCamelCase						,					dtype=_lowerCamelCase	)]						,					dim=1	)

										return ordered_inputs

						@property
						def        __A       (			self					:       Union[str, Any]	)				->       int:
										return 13








from math import sqrt

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) 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(A__						)						)						) + 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(A__    ,	A__						), "'status' must been from type bool"

      return status

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) 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(A__						)						):
            for j in range(i + 1    ,	len(A__						)						):
                  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(A__    ,	A__						), "'ans' must been from type list"

      return ans

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) 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(A__						):
                  ans.append(A__						)

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

      return ans

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) 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(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 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) and (
          number >= 0
      ), "'number' bust been an int and >= 0"

      lowercase__  =	0

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

      lowercase__  =	max(A__						)

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

      return ans

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) and (
          number >= 0
      ), "'number' bust been an int and >= 0"

      lowercase__  =	0

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

      lowercase__  =	min(A__						)

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

      return ans

def 	_lowerCAmelCase (    A__						):
      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 	_lowerCAmelCase (    A__						):
      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 	_lowerCAmelCase (    A__						):
      assert (
          isinstance(A__    ,	A__						) and (number > 2) and is_even(A__						)
      ), "'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(A__						)
      lowercase__  =	len(A__						)

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

      return numbera

def 	_lowerCAmelCase (    A__    ,	A__						):
      assert (
          isinstance(A__    ,	A__						)
          and isinstance(A__    ,	A__						)
          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(A__						)
            lowercase__  =	prime_factorization(A__						)

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

      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(A__						)
                        lowercase__  =	prime_fac_a.count(A__						)

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

                  else:
                        lowercase__  =	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:
                  lowercase__  =	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 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) 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(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 	_lowerCAmelCase (    A__    ,	A__						):
      assert (
          is_prime(A__						) and is_prime(A__						) 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(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 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) 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(A__						)

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

      return ans

def 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) and (
          number > 1
      ), "'number' must been an int and >= 1"

      lowercase__  =	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 	_lowerCAmelCase (    A__    ,	A__						):
      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.
      lowercase__  =	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 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) 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 	_lowerCAmelCase (    A__						):
      assert isinstance(A__    ,	A__						) 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
