


'''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       _UpperCamelCase (						UpperCamelCase__   ):
			UpperCAmelCase__					:   Optional[int]       				=       SwinConfig()
			UpperCAmelCase__					:   Union[str, Any]       				=       swin_name.split("""_"""   )

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

			if model_size == "tiny":
						UpperCAmelCase__					:   Any       				=       9_6
						UpperCAmelCase__					:   List[Any]       				=       (2, 2, 6, 2)
						UpperCAmelCase__					:   Union[str, Any]       				=       (3, 6, 1_2, 2_4)
			elif model_size == "small":
						UpperCAmelCase__					:   Tuple       				=       9_6
						UpperCAmelCase__					:   Dict       				=       (2, 2, 1_8, 2)
						UpperCAmelCase__					:   Dict       				=       (3, 6, 1_2, 2_4)
			elif model_size == "base":
						UpperCAmelCase__					:   Tuple       				=       1_2_8
						UpperCAmelCase__					:   int       				=       (2, 2, 1_8, 2)
						UpperCAmelCase__					:   int       				=       (4, 8, 1_6, 3_2)
			else:
						UpperCAmelCase__					:   List[Any]       				=       1_9_2
						UpperCAmelCase__					:   Optional[Any]       				=       (2, 2, 1_8, 2)
						UpperCAmelCase__					:   List[str]       				=       (6, 1_2, 2_4, 4_8)

			if "in22k" in swin_name:
						UpperCAmelCase__					:   List[str]       				=       2_1_8_4_1
			else:
						UpperCAmelCase__					:   List[str]       				=       1_0_0_0
						UpperCAmelCase__					:   Any       				=       """huggingface/label-files"""
						UpperCAmelCase__					:   Any       				=       """imagenet-1k-id2label.json"""
						UpperCAmelCase__					:   List[Any]       				=       json.load(open(hf_hub_download(UpperCamelCase__	, UpperCamelCase__	, repo_type="""dataset"""   )	, """r"""   )   )
						UpperCAmelCase__					:   Union[str, Any]       				=       {int(UpperCamelCase__   ): v for k, v in idalabel.items()}
						UpperCAmelCase__					:   Optional[int]       				=       idalabel
						UpperCAmelCase__					:   Optional[int]       				=       {v: k for k, v in idalabel.items()}

			UpperCAmelCase__					:   List[Any]       				=       img_size
			UpperCAmelCase__					:   Union[str, Any]       				=       num_classes
			UpperCAmelCase__					:   List[str]       				=       embed_dim
			UpperCAmelCase__					:   Union[str, Any]       				=       depths
			UpperCAmelCase__					:   Optional[int]       				=       num_heads
			UpperCAmelCase__					:   int       				=       window_size

			return config







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

			if name == "norm.weight":
						UpperCAmelCase__					:   Tuple       				=       """layernorm.weight"""
			if name == "norm.bias":
						UpperCAmelCase__					:   Optional[Any]       				=       """layernorm.bias"""

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

			return name







def       _UpperCamelCase (						UpperCamelCase__	, UpperCamelCase__   ):
			for key in orig_state_dict.copy().keys():
						UpperCAmelCase__					:   List[str]       				=       orig_state_dict.pop(UpperCamelCase__   )

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

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

			return orig_state_dict







def       _UpperCamelCase (						UpperCamelCase__	, UpperCamelCase__   ):
			UpperCAmelCase__					:   int       				=       timm.create_model(UpperCamelCase__	, pretrained=UpperCamelCase__   )
			timm_model.eval()

			UpperCAmelCase__					:   Dict       				=       get_swin_config(UpperCamelCase__   )
			UpperCAmelCase__					:   List[Any]       				=       SwinForImageClassification(UpperCamelCase__   )
			model.eval()

			UpperCAmelCase__					:   List[Any]       				=       convert_state_dict(timm_model.state_dict()	, UpperCamelCase__   )
			model.load_state_dict(UpperCamelCase__   )

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

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

			UpperCAmelCase__					:   Dict       				=       timm_model(inputs["""pixel_values"""]   )
			UpperCAmelCase__					:   Union[str, Any]       				=       model(**UpperCamelCase__   ).logits

			assert torch.allclose(UpperCamelCase__	, UpperCamelCase__	, atol=1e-3   )

			print(f'''Saving model {swin_name} to {pytorch_dump_folder_path}'''   )
			model.save_pretrained(UpperCamelCase__   )

			print(f'''Saving image processor to {pytorch_dump_folder_path}'''   )
			image_processor.save_pretrained(UpperCamelCase__   )


if __name__ == "__main__":
		__A		=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.'
		)

		__A		=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 						_snake_case   (       unittest.TestCase		):




					def 			snake_case__  ( self):
								UpperCAmelCase__					:   str       				=       Vector([1, 2, 3])
								self.assertEqual(x.component(0)							,							1)
								self.assertEqual(x.component(2)							,							3)
								UpperCAmelCase__					:   List[str]       				=       Vector()




					def 			snake_case__  ( self):
								UpperCAmelCase__					:   Any       				=       Vector([0, 0, 0, 0, 0, 1])
								self.assertEqual(str(_lowerCamelCase)							,							"""(0,0,0,0,0,1)""")




					def 			snake_case__  ( self):
								UpperCAmelCase__					:   Optional[int]       				=       Vector([1, 2, 3, 4])
								self.assertEqual(len(_lowerCamelCase)							,							4)




					def 			snake_case__  ( self):
								UpperCAmelCase__					:   List[str]       				=       Vector([1, 2])
								UpperCAmelCase__					:   Optional[int]       				=       Vector([1, 2, 3, 4, 5])
								UpperCAmelCase__					:   Optional[Any]       				=       Vector([0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
								UpperCAmelCase__					:   Union[str, Any]       				=       Vector([1, -1, 1, -1, 2, -3, 4, -5])
								self.assertAlmostEqual(x.euclidean_length()							,							2.236							,							3)
								self.assertAlmostEqual(y.euclidean_length()							,							7.416							,							3)
								self.assertEqual(z.euclidean_length()							,							0)
								self.assertAlmostEqual(w.euclidean_length()							,							7.616							,							3)




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




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




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




					def 			snake_case__  ( self):
								UpperCAmelCase__					:   Any       				=       Vector([1, 2, 3])
								UpperCAmelCase__					:   List[str]       				=       Vector([1, 0, 1])
								self.assertEqual(str(axpy(2							,							_lowerCamelCase							,							_lowerCamelCase))							,							"""(3,4,7)""")




					def 			snake_case__  ( self):
								UpperCAmelCase__					:   Optional[int]       				=       Vector([1, 0, 0, 0, 0, 0])
								UpperCAmelCase__					:   Optional[int]       				=       x.copy()
								self.assertEqual(str(_lowerCamelCase)							,							str(_lowerCamelCase))




					def 			snake_case__  ( self):
								UpperCAmelCase__					:   str       				=       Vector([1, 0, 0])
								x.change_component(0							,							0)
								x.change_component(1							,							1)
								self.assertEqual(str(_lowerCamelCase)							,							"""(0,1,0)""")




					def 			snake_case__  ( self):
								UpperCAmelCase__					:   str       				=       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(_lowerCamelCase))




					def 			snake_case__  ( self):
								UpperCAmelCase__					:   List[str]       				=       Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]							,							3							,							3)
								UpperCAmelCase__					:   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(_lowerCamelCase							,							_lowerCamelCase))




					def 			snake_case__  ( self):
								UpperCAmelCase__					:   Any       				=       Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]							,							3							,							3)
								UpperCAmelCase__					:   Tuple       				=       [[-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(_lowerCamelCase							,							_lowerCamelCase))




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




					def 			snake_case__  ( self):
								UpperCAmelCase__					:   str       				=       Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]]							,							3							,							3)
								UpperCAmelCase__					:   List[Any]       				=       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 			snake_case__  ( self):
								UpperCAmelCase__					:   Union[str, 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(_lowerCamelCase))




					def 			snake_case__  ( self):
								UpperCAmelCase__					:   Any       				=       Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]							,							3							,							3)
								self.assertEqual(7							,							a.component(2							,							1)							,							0.01)




					def 			snake_case__  ( self):
								UpperCAmelCase__					:   str       				=       Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]							,							3							,							3)
								UpperCAmelCase__					:   List[Any]       				=       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 			snake_case__  ( self):
								UpperCAmelCase__					:   List[Any]       				=       Matrix([[1, 2, 3], [2, 4, 5], [6, 7, 8]]							,							3							,							3)
								UpperCAmelCase__					:   Dict       				=       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 			snake_case__  ( self):
								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()