



'''simple docstring'''





import argparse
import json
from pathlib import Path

import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image

from transformers import DeiTImageProcessor, ViTConfig, ViTForImageClassification, ViTImageProcessor, ViTModel
from transformers.utils import logging


logging.set_verbosity_info()
lowercase_		       =  logging.get_logger(__name__)




def lowerCAmelCase  (__A  ,	__A=False):



     """simple docstring"""



     _a      =  []
     for i in range(config.num_hidden_layers):
          # encoder layers: output projection, 2 feedforward neural networks and 2 layernorms
          rename_keys.append((F'''blocks.{i}.norm1.weight''', F'''vit.encoder.layer.{i}.layernorm_before.weight'''))
          rename_keys.append((F'''blocks.{i}.norm1.bias''', F'''vit.encoder.layer.{i}.layernorm_before.bias'''))
          rename_keys.append((F'''blocks.{i}.attn.proj.weight''', F'''vit.encoder.layer.{i}.attention.output.dense.weight'''))
          rename_keys.append((F'''blocks.{i}.attn.proj.bias''', F'''vit.encoder.layer.{i}.attention.output.dense.bias'''))
          rename_keys.append((F'''blocks.{i}.norm2.weight''', F'''vit.encoder.layer.{i}.layernorm_after.weight'''))
          rename_keys.append((F'''blocks.{i}.norm2.bias''', F'''vit.encoder.layer.{i}.layernorm_after.bias'''))
          rename_keys.append((F'''blocks.{i}.mlp.fc1.weight''', F'''vit.encoder.layer.{i}.intermediate.dense.weight'''))
          rename_keys.append((F'''blocks.{i}.mlp.fc1.bias''', F'''vit.encoder.layer.{i}.intermediate.dense.bias'''))
          rename_keys.append((F'''blocks.{i}.mlp.fc2.weight''', F'''vit.encoder.layer.{i}.output.dense.weight'''))
          rename_keys.append((F'''blocks.{i}.mlp.fc2.bias''', F'''vit.encoder.layer.{i}.output.dense.bias'''))

     # projection layer + position embeddings
     rename_keys.extend(
         [
             ('''cls_token''', '''vit.embeddings.cls_token'''),
             ('''patch_embed.proj.weight''', '''vit.embeddings.patch_embeddings.projection.weight'''),
             ('''patch_embed.proj.bias''', '''vit.embeddings.patch_embeddings.projection.bias'''),
             ('''pos_embed''', '''vit.embeddings.position_embeddings'''),
         ])

     if base_model:
          # layernorm + pooler
          rename_keys.extend(
              [
                  ('''norm.weight''', '''layernorm.weight'''),
                  ('''norm.bias''', '''layernorm.bias'''),
                  ('''pre_logits.fc.weight''', '''pooler.dense.weight'''),
                  ('''pre_logits.fc.bias''', '''pooler.dense.bias'''),
              ])

          # if just the base model, we should remove "vit" from all keys that start with "vit"
          _a      =  [(pair[0], pair[1][4:]) if pair[1].startswith('''vit''') else pair for pair in rename_keys]
     else:
          # layernorm + classification head
          rename_keys.extend(
              [
                  ('''norm.weight''', '''vit.layernorm.weight'''),
                  ('''norm.bias''', '''vit.layernorm.bias'''),
                  ('''head.weight''', '''classifier.weight'''),
                  ('''head.bias''', '''classifier.bias'''),
              ])

     return rename_keys




def lowerCAmelCase  (__A  ,	__A  ,	__A=False):



     """simple docstring"""



     for i in range(config.num_hidden_layers):
          if base_model:
               _a      =  ''''''
          else:
               _a      =  '''vit.'''
          # read in weights + bias of input projection layer (in timm, this is a single matrix + bias)
          _a      =  state_dict.pop(F'''blocks.{i}.attn.qkv.weight''')
          _a      =  state_dict.pop(F'''blocks.{i}.attn.qkv.bias''')
          # next, add query, keys and values (in that order) to the state dict
          _a      =  in_proj_weight[
              : config.hidden_size, :
          ]
          _a      =  in_proj_bias[: config.hidden_size]
          _a      =  in_proj_weight[
              config.hidden_size : config.hidden_size * 2, :
          ]
          _a      =  in_proj_bias[
              config.hidden_size : config.hidden_size * 2
          ]
          _a      =  in_proj_weight[
              -config.hidden_size :, :
          ]
          _a      =  in_proj_bias[-config.hidden_size :]




def lowerCAmelCase  (__A):



     """simple docstring"""



     _a      =  ['''head.weight''', '''head.bias''']
     for k in ignore_keys:
          state_dict.pop(__A  ,	__A)




def lowerCAmelCase  (__A  ,	__A  ,	__A):



     """simple docstring"""



     _a      =  dct.pop(__A)
     _a      =  val




def lowerCAmelCase  ():



     """simple docstring"""



     _a      =  '''http://images.cocodataset.org/val2017/000000039769.jpg'''
     _a      =  Image.open(requests.get(__A  ,	stream=__A).raw)
     return im




@torch.no_grad()
def lowerCAmelCase  (__A  ,	__A):



     """simple docstring"""



     _a      =  ViTConfig()
     _a      =  False
     # dataset (ImageNet-21k only or also fine-tuned on ImageNet 2012), patch_size and image_size
     if vit_name[-5:] == "in21k":
          _a      =  True
          _a      =  int(vit_name[-12:-10])
          _a      =  int(vit_name[-9:-6])
     else:
          _a      =  1_000
          _a      =  '''huggingface/label-files'''
          _a      =  '''imagenet-1k-id2label.json'''
          _a      =  json.load(open(hf_hub_download(__A  ,	__A  ,	repo_type='''dataset''')  ,	'''r'''))
          _a      =  {int(__A): v for k, v in idalabel.items()}
          _a      =  idalabel
          _a      =  {v: k for k, v in idalabel.items()}
          _a      =  int(vit_name[-6:-4])
          _a      =  int(vit_name[-3:])
     # size of the architecture
     if "deit" in vit_name:
          if vit_name[9:].startswith('''tiny'''):
               _a      =  192
               _a      =  768
               _a      =  12
               _a      =  3
          elif vit_name[9:].startswith('''small'''):
               _a      =  384
               _a      =  1_536
               _a      =  12
               _a      =  6
          else:
               pass
     else:
          if vit_name[4:].startswith('''small'''):
               _a      =  768
               _a      =  2_304
               _a      =  8
               _a      =  8
          elif vit_name[4:].startswith('''base'''):
               pass
          elif vit_name[4:].startswith('''large'''):
               _a      =  1_024
               _a      =  4_096
               _a      =  24
               _a      =  16
          elif vit_name[4:].startswith('''huge'''):
               _a      =  1_280
               _a      =  5_120
               _a      =  32
               _a      =  16

    # load original model from timm
     _a      =  timm.create_model(__A  ,	pretrained=__A)
     timm_model.eval()

     # load state_dict of original model, remove and rename some keys
     _a      =  timm_model.state_dict()
     if base_model:
          remove_classification_head_(__A)
     _a      =  create_rename_keys(__A  ,	__A)
     for src, dest in rename_keys:
          rename_key(__A  ,	__A  ,	__A)
     read_in_q_k_v(__A  ,	__A  ,	__A)

     # load HuggingFace model
     if vit_name[-5:] == "in21k":
          _a      =  ViTModel(__A).eval()
     else:
          _a      =  ViTForImageClassification(__A).eval()
     model.load_state_dict(__A)

     # Check outputs on an image, prepared by ViTImageProcessor/DeiTImageProcessor
     if "deit" in vit_name:
          _a      =  DeiTImageProcessor(size=config.image_size)
     else:
          _a      =  ViTImageProcessor(size=config.image_size)
     _a      =  image_processor(images=prepare_img()  ,	return_tensors='''pt''')
     _a      =  encoding['''pixel_values''']
     _a      =  model(__A)

     if base_model:
          _a      =  timm_model.forward_features(__A)
          assert timm_pooled_output.shape == outputs.pooler_output.shape
          assert torch.allclose(__A  ,	outputs.pooler_output  ,	atol=1e-3)
     else:
          _a      =  timm_model(__A)
          assert timm_logits.shape == outputs.logits.shape
          assert torch.allclose(__A  ,	outputs.logits  ,	atol=1e-3)

     Path(__A).mkdir(exist_ok=__A)
     print(F'''Saving model {vit_name} to {pytorch_dump_folder_path}''')
     model.save_pretrained(__A)
     print(F'''Saving image processor to {pytorch_dump_folder_path}''')
     image_processor.save_pretrained(__A)


if __name__ == "__main__":
  lowercase_		       =  argparse.ArgumentParser()
  # Required parameters
  parser.add_argument(
      "--vit_name",
      default="vit_base_patch16_224",
      type=str,
      help="Name of the ViT timm model you'd like to convert.",
  )
  parser.add_argument(
      "--pytorch_dump_folder_path", default=None, type=str, help="Path to the output PyTorch model directory."
  )

  lowercase_		       =  parser.parse_args()
  convert_vit_checkpoint(args.vit_name, args.pytorch_dump_folder_path)








'''simple docstring'''





from math import sqrt




def lowerCAmelCase  (__A):



     """simple docstring"""



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

     _a      =  True

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

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

     return status




def lowerCAmelCase  (__A):



     """simple docstring"""



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

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

     _a      =  []  # 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):
                    _a      =  0

    # filters actual prime numbers.
     _a      =  [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):



     """simple docstring"""



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

     _a      =  []

     # 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):



     """simple docstring"""



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

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

     # potential prime number factors.

     _a      =  2

     _a      =  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):



     """simple docstring"""



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

     _a      =  0

     # prime factorization of 'number'
     _a      =  prime_factorization(__A)

     _a      =  max(__A)

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

     return ans




def lowerCAmelCase  (__A):



     """simple docstring"""



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

     _a      =  0

     # prime factorization of 'number'
     _a      =  prime_factorization(__A)

     _a      =  min(__A)

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

     return ans




def lowerCAmelCase  (__A):



     """simple docstring"""



     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):



     """simple docstring"""



     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):



     """simple docstring"""



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

     _a      =  []  # this list will returned

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

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

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

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

          while j < len_pn and loop:
               if prime_numbers[i] + prime_numbers[j] == number:
                    _a      =  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):



     """simple docstring"""



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

     _a      =  0

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

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

     return numbera




def lowerCAmelCase  (__A  ,	__A):



     """simple docstring"""



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

     _a      =  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'
          _a      =  prime_factorization(__A)
          _a      =  prime_factorization(__A)

     elif numbera == 1 or numbera == 1:
          _a      =  []
          _a      =  []
          _a      =  max(__A  ,	__A)

     _a      =  0
     _a      =  0

     _a      =  []  # 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:
                    _a      =  prime_fac_a.count(__A)
                    _a      =  prime_fac_a.count(__A)

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

               else:
                    _a      =  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:
               _a      =  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):



     """simple docstring"""



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

     _a      =  0
     _a      =  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):



     """simple docstring"""



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

     _a      =  p_number_a + 1  # jump to the next number

     _a      =  []  # 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):



     """simple docstring"""



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

     _a      =  []  # 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):



     """simple docstring"""



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

     _a      =  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):



     """simple docstring"""



     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.
     _a      =  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):



     """simple docstring"""



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

     _a      =  1  # this will be return.

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

     return ans




def lowerCAmelCase  (__A):



     """simple docstring"""



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

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

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

     return ans



