"""simple docstring"""



import argparse
import json

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

from transformers import AutoImageProcessor, SwinConfig, SwinForImageClassification

def  _A(		lowerCAmelCase							):
							A__       :     List[Any]								=			SwinConfig()
							A__       :     List[str]								=			swin_name.split("""_"""							)

							A__       :     str								=			name_split[1]
							A__       :     Union[str, Any]								=			int(name_split[4]							)
							A__       :     Optional[Any]								=			int(name_split[3][-1]							)

							if model_size == "tiny":
														A__       :     Optional[Any]								=			96
														A__       :     List[Any]								=			(2, 2, 6, 2)
														A__       :     Optional[int]								=			(3, 6, 12, 24)
							elif model_size == "small":
														A__       :     List[Any]								=			96
														A__       :     Optional[Any]								=			(2, 2, 18, 2)
														A__       :     List[str]								=			(3, 6, 12, 24)
							elif model_size == "base":
														A__       :     Dict								=			128
														A__       :     Tuple								=			(2, 2, 18, 2)
														A__       :     Any								=			(4, 8, 16, 32)
							else:
														A__       :     str								=			192
														A__       :     List[str]								=			(2, 2, 18, 2)
														A__       :     List[Any]								=			(6, 12, 24, 48)

							if "in22k" in swin_name:
														A__       :     Dict								=			2_1841
							else:
														A__       :     Union[str, Any]								=			1000
														A__       :     Tuple								=			"""huggingface/label-files"""
														A__       :     Optional[int]								=			"""imagenet-1k-id2label.json"""
														A__       :     Optional[Any]								=			json.load(open(hf_hub_download(lowerCAmelCase			,  lowerCAmelCase			,  repo_type="""dataset"""							)			,  """r"""							)							)
														A__       :     List[Any]								=			{int(lowerCAmelCase							): v for k, v in idalabel.items()}
														A__       :     List[str]								=			idalabel
														A__       :     int								=			{v: k for k, v in idalabel.items()}

							A__       :     Tuple								=			img_size
							A__       :     List[str]								=			num_classes
							A__       :     Dict								=			embed_dim
							A__       :     str								=			depths
							A__       :     Any								=			num_heads
							A__       :     str								=			window_size

							return config

def  _A(		lowerCAmelCase							):
							if "patch_embed.proj" in name:
														A__       :     Optional[Any]								=			name.replace("""patch_embed.proj"""			,  """embeddings.patch_embeddings.projection"""							)
							if "patch_embed.norm" in name:
														A__       :     List[str]								=			name.replace("""patch_embed.norm"""			,  """embeddings.norm"""							)
							if "layers" in name:
														A__       :     List[Any]								=			"""encoder.""" + name
							if "attn.proj" in name:
														A__       :     str								=			name.replace("""attn.proj"""			,  """attention.output.dense"""							)
							if "attn" in name:
														A__       :     Optional[Any]								=			name.replace("""attn"""			,  """attention.self"""							)
							if "norm1" in name:
														A__       :     Tuple								=			name.replace("""norm1"""			,  """layernorm_before"""							)
							if "norm2" in name:
														A__       :     str								=			name.replace("""norm2"""			,  """layernorm_after"""							)
							if "mlp.fc1" in name:
														A__       :     str								=			name.replace("""mlp.fc1"""			,  """intermediate.dense"""							)
							if "mlp.fc2" in name:
														A__       :     Any								=			name.replace("""mlp.fc2"""			,  """output.dense"""							)

							if name == "norm.weight":
														A__       :     Dict								=			"""layernorm.weight"""
							if name == "norm.bias":
														A__       :     Any								=			"""layernorm.bias"""

							if "head" in name:
														A__       :     List[str]								=			name.replace("""head"""			,  """classifier"""							)
							else:
														A__       :     Union[str, Any]								=			"""swin.""" + name

							return name

def  _A(		lowerCAmelCase			,  lowerCAmelCase							):
							for key in orig_state_dict.copy().keys():
														A__       :     Optional[int]								=			orig_state_dict.pop(lowerCAmelCase							)

														if "mask" in key:
																					continue
														elif "qkv" in key:
																					A__       :     Optional[int]								=			key.split("""."""							)
																					A__       :     int								=			int(key_split[1]							)
																					A__       :     Union[str, Any]								=			int(key_split[3]							)
																					A__       :     Dict								=			model.swin.encoder.layers[layer_num].blocks[block_num].attention.self.all_head_size

																					if "weight" in key:
																												A__       :     str								=			val[:dim, :]
																												A__       :     List[Any]								=			val[
																												    dim : dim * 2, :
																												]
																												A__       :     Dict								=			val[-dim:, :]
																					else:
																												A__       :     str								=			val[
																												    :dim
																												]
																												A__       :     int								=			val[
																												    dim : dim * 2
																												]
																												A__       :     List[Any]								=			val[
																												    -dim:
																												]
														else:
																					A__       :     Optional[int]								=			val

							return orig_state_dict

def  _A(		lowerCAmelCase			,  lowerCAmelCase							):
							A__       :     Optional[int]								=			timm.create_model(lowerCAmelCase			,  pretrained=lowerCAmelCase							)
							timm_model.eval()

							A__       :     Tuple								=			get_swin_config(lowerCAmelCase							)
							A__       :     Dict								=			SwinForImageClassification(lowerCAmelCase							)
							model.eval()

							A__       :     str								=			convert_state_dict(timm_model.state_dict()			,  lowerCAmelCase							)
							model.load_state_dict(lowerCAmelCase							)

							A__       :     Optional[int]								=			"""http://images.cocodataset.org/val2017/000000039769.jpg"""

							A__       :     Union[str, Any]								=			AutoImageProcessor.from_pretrained("""microsoft/{}""".format(swin_name.replace("""_"""			,  """-"""							)							)							)
							A__       :     str								=			Image.open(requests.get(lowerCAmelCase			,  stream=lowerCAmelCase							).raw							)
							A__       :     Any								=			image_processor(images=lowerCAmelCase			,  return_tensors="""pt"""							)

							A__       :     Optional[int]								=			timm_model(inputs["""pixel_values"""]							)
							A__       :     Optional[int]								=			model(**lowerCAmelCase							).logits

							assert torch.allclose(lowerCAmelCase			,  lowerCAmelCase			,  atol=1E-3							)

							print(F'''Saving model {swin_name} to {pytorch_dump_folder_path}'''							)
							model.save_pretrained(lowerCAmelCase							)

							print(F'''Saving image processor to {pytorch_dump_folder_path}'''							)
							image_processor.save_pretrained(lowerCAmelCase							)


if __name__ == "__main__":
				_UpperCamelCase								=		argparse.ArgumentParser()
				# Required parameters
				parser.add_argument(
				    "--swin_name",
				    default="swin_tiny_patch4_window7_224",
				    type=str,
				    help="Name of the Swin 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."
				)

				_UpperCamelCase								=		parser.parse_args()
				convert_swin_checkpoint(args.swin_name, args.pytorch_dump_folder_path)






"""simple docstring"""



import unittest

from .lib import (
    Matrix,
    Vector,
    axpy,
    square_zero_matrix,
    unit_basis_vector,
    zero_vector,
)
class 						__UpperCAmelCase    (unittest.TestCase     ):







			'''simple docstring'''





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     Dict								=			Vector([1, 2, 3]							)
										self.assertEqual(x.component(0							)   ,      1							)
										self.assertEqual(x.component(2							)   ,      3							)
										A__       :     List[Any]								=			Vector()





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     List[Any]								=			Vector([0, 0, 0, 0, 0, 1]							)
										self.assertEqual(str(snake_case_							)   ,      """(0,0,0,0,0,1)"""							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     List[Any]								=			Vector([1, 2, 3, 4]							)
										self.assertEqual(len(snake_case_							)   ,      4							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     Any								=			Vector([1, 2]							)
										A__       :     Optional[int]								=			Vector([1, 2, 3, 4, 5]							)
										A__       :     Tuple								=			Vector([0, 0, 0, 0, 0, 0, 0, 0, 0, 0]							)
										A__       :     Dict								=			Vector([1, -1, 1, -1, 2, -3, 4, -5]							)
										self.assertAlmostEqual(x.euclidean_length()   ,      2.2_36   ,      3							)
										self.assertAlmostEqual(y.euclidean_length()   ,      7.4_16   ,      3							)
										self.assertEqual(z.euclidean_length()   ,      0							)
										self.assertAlmostEqual(w.euclidean_length()   ,      7.6_16   ,      3							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     Union[str, Any]								=			Vector([1, 2, 3]							)
										A__       :     Any								=			Vector([1, 1, 1]							)
										self.assertEqual((x + y).component(0							)   ,      2							)
										self.assertEqual((x + y).component(1							)   ,      3							)
										self.assertEqual((x + y).component(2							)   ,      4							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     Optional[int]								=			Vector([1, 2, 3]							)
										A__       :     int								=			Vector([1, 1, 1]							)
										self.assertEqual((x - y).component(0							)   ,      0							)
										self.assertEqual((x - y).component(1							)   ,      1							)
										self.assertEqual((x - y).component(2							)   ,      2							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     Tuple								=			Vector([1, 2, 3]							)
										A__       :     Any								=			Vector([2, -1, 4]							)  # for test of dot product
										A__       :     Optional[Any]								=			Vector([1, -2, -1]							)
										self.assertEqual(str(x * 3.0							)   ,      """(3.0,6.0,9.0)"""							)
										self.assertEqual((a * b)   ,      0							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										self.assertEqual(str(zero_vector(10							)							).count("""0"""							)   ,      10							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										self.assertEqual(str(unit_basis_vector(3   ,      1							)							)   ,      """(0,1,0)"""							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     Union[str, Any]								=			Vector([1, 2, 3]							)
										A__       :     Tuple								=			Vector([1, 0, 1]							)
										self.assertEqual(str(axpy(2   ,      snake_case_   ,      snake_case_							)							)   ,      """(3,4,7)"""							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     int								=			Vector([1, 0, 0, 0, 0, 0]							)
										A__       :     List[str]								=			x.copy()
										self.assertEqual(str(snake_case_							)   ,      str(snake_case_							)							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     str								=			Vector([1, 0, 0]							)
										x.change_component(0   ,      0							)
										x.change_component(1   ,      1							)
										self.assertEqual(str(snake_case_							)   ,      """(0,1,0)"""							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     List[Any]								=			Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,      3   ,      3							)
										self.assertEqual("""|1,2,3|\n|2,4,5|\n|6,7,8|\n"""   ,      str(snake_case_							)							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     Any								=			Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,      3   ,      3							)
										A__       :     Dict								=			[[-3, -14, -10], [-5, -10, -5], [-2, -1, 0]]
										for x in range(a.height()							):
																	for y in range(a.width()							):
																								self.assertEqual(minors[x][y]   ,      a.minor(snake_case_   ,      snake_case_							)							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     Optional[int]								=			Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,      3   ,      3							)
										A__       :     Union[str, Any]								=			[[-3, 14, -10], [5, -10, 5], [-2, 1, 0]]
										for x in range(a.height()							):
																	for y in range(a.width()							):
																								self.assertEqual(cofactors[x][y]   ,      a.cofactor(snake_case_   ,      snake_case_							)							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     Any								=			Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,      3   ,      3							)
										self.assertEqual(-5   ,      a.determinant()							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     Optional[int]								=			Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]   ,      3   ,      3							)
										A__       :     int								=			Vector([1, 2, 3]							)
										self.assertEqual("""(14,32,50)"""   ,      str(a * x							)							)
										self.assertEqual("""|2,4,6|\n|8,10,12|\n|14,16,18|\n"""   ,      str(a * 2							)							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     Optional[Any]								=			Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,      3   ,      3							)
										a.change_component(0   ,      2   ,      5							)
										self.assertEqual("""|1,2,5|\n|2,4,5|\n|6,7,8|\n"""   ,      str(snake_case_							)							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     Union[str, Any]								=			Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,      3   ,      3							)
										self.assertEqual(7   ,      a.component(2   ,      1							)   ,      0.01							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     Optional[Any]								=			Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,      3   ,      3							)
										A__       :     List[str]								=			Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 10]]   ,      3   ,      3							)
										self.assertEqual("""|2,4,10|\n|4,8,10|\n|12,14,18|\n"""   ,      str(a + b							)							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										A__       :     List[Any]								=			Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]   ,      3   ,      3							)
										A__       :     Tuple								=			Matrix([[1, 2, 7], [2, 4, 5], [6, 7, 10]]   ,      3   ,      3							)
										self.assertEqual("""|0,0,-4|\n|0,0,0|\n|0,0,-2|\n"""   ,      str(a - b							)							)





			def 		lowerCamelCase					(			self							):







										'''simple docstring'''


										self.assertEqual(
										    """|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n|0,0,0,0,0|\n"""   ,      str(square_zero_matrix(5							)							)   ,      )


if __name__ == "__main__":
				unittest.main()





