
import argparse
import json
import os

from tensorflow.core.protobuf.saved_model_pba import SavedModel


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
lowercase__		:str   =    "."

# Internal TensorFlow ops that can be safely ignored (mostly specific to a saved model)
lowercase__		:List[Any]   =    [
    "Assert",
    "AssignVariableOp",
    "EmptyTensorList",
    "MergeV2Checkpoints",
    "ReadVariableOp",
    "ResourceGather",
    "RestoreV2",
    "SaveV2",
    "ShardedFilename",
    "StatefulPartitionedCall",
    "StaticRegexFullMatch",
    "VarHandleOp",
]



def        UpperCamelCase    (							lowerCAmelCase__ ,			lowerCAmelCase__ ,			lowerCAmelCase__		):
					'''simple docstring'''
					lowercase							=						SavedModel()
					lowercase							=						[]

					with open(os.path.join(lowerCAmelCase__ ,			'''utils''' ,			'''tf_ops''' ,			'''onnx.json'''		)		) as f:
										lowercase							=						json.load(lowerCAmelCase__		)['''opsets''']

					for i in range(1 ,			opset + 1		):
										onnx_ops.extend(onnx_opsets[str(lowerCAmelCase__		)]		)

					with open(lowerCAmelCase__ ,			'''rb'''		) as f:
										saved_model.ParseFromString(f.read()		)

					lowercase							=						set()

					# Iterate over every metagraph in case there is more than one (a saved model can contain multiple graphs)
					for meta_graph in saved_model.meta_graphs:
										# Add operations in the graph definition
										model_op_names.update(node.op for node in meta_graph.graph_def.node		)

										# Go through the functions in the graph definition
										for func in meta_graph.graph_def.library.function:
															# Add operations in each function
															model_op_names.update(node.op for node in func.node_def		)

    # Convert to list, sorted if you want
					lowercase							=						sorted(lowerCAmelCase__		)
					lowercase							=						[]

					for op in model_op_names:
										if op not in onnx_ops and op not in INTERNAL_OPS:
															incompatible_ops.append(lowerCAmelCase__		)

					if strict and len(lowerCAmelCase__		) > 0:
										raise Exception(f'Found the following incompatible ops for the opset {opset}:\n' + incompatible_ops		)
					elif len(lowerCAmelCase__		) > 0:
										print(f'Found the following incompatible ops for the opset {opset}:'		)
										print(*lowerCAmelCase__ ,			sep='''\n'''		)
					else:
										print(f'The saved model {saved_model_path} can properly be converted with ONNX.'		)


if __name__ == "__main__":
							lowercase__		:Optional[Any]   =    argparse.ArgumentParser()
							parser.add_argument("--saved_model_path", help="Path of the saved model to check (the .pb file).")
							parser.add_argument(
							    "--opset", default=12, type=int, help="The ONNX opset against which the model has to be tested."
							)
							parser.add_argument(
							    "--framework", choices=["onnx"], default="onnx", help="Frameworks against which to test the saved model."
							)
							parser.add_argument(
							    "--strict", action="store_true", help="Whether make the checking strict (raise errors) or not (raise warnings)"
							)
							lowercase__		:int   =    parser.parse_args()

							if args.framework == "onnx":
														onnx_compliancy(args.saved_model_path, args.strict, args.opset)






import requests
from bsa import BeautifulSoup



def        UpperCamelCase    (							lowerCAmelCase__ = "https://www.worldometers.info/coronavirus"		):
					'''simple docstring'''
					lowercase							=						BeautifulSoup(requests.get(lowerCAmelCase__		).text ,			'''html.parser'''		)
					lowercase							=						soup.findAll('''h1'''		)
					lowercase							=						soup.findAll('''div''' ,			{'''class''': '''maincounter-number'''}		)
					keys += soup.findAll('''span''' ,			{'''class''': '''panel-title'''}		)
					values += soup.findAll('''div''' ,			{'''class''': '''number-table-main'''}		)
					return {key.text.strip(): value.text.strip() for key, value in zip(lowerCAmelCase__ ,			lowerCAmelCase__		)}


if __name__ == "__main__":
							print("\033[1m" + "COVID-19 Status of the World" + "\033[0m\n")
							for key, value in world_covidaa_stats().items():
														print(F'{key}\n{value}\n')




