



import operator as op


UpperCamelCase__ =						"scaler.pt"
UpperCamelCase__ =						"pytorch_model"
UpperCamelCase__ =						"random_states"
UpperCamelCase__ =						"optimizer"
UpperCamelCase__ =						"scheduler"
UpperCamelCase__ =						"pytorch_model.bin"
UpperCamelCase__ =						"pytorch_model.bin.index.json"
UpperCamelCase__ =						"model.safetensors"
UpperCamelCase__ =						"model.safetensors.index.json"
UpperCamelCase__ =						"1.10.2"
UpperCamelCase__ =						"py38"
UpperCamelCase__ =						"4.17.0"
UpperCamelCase__ =						["ml.p3.16xlarge", "ml.p3dn.24xlarge", "ml.p4dn.24xlarge"]
UpperCamelCase__ =						["FULL_SHARD", "SHARD_GRAD_OP", "NO_SHARD", "HYBRID_SHARD", "HYBRID_SHARD_ZERO2"]
UpperCamelCase__ =						["TRANSFORMER_BASED_WRAP", "SIZE_BASED_WRAP", "NO_WRAP"]
UpperCamelCase__ =						["BACKWARD_PRE", "BACKWARD_POST", "NO_PREFETCH"]
UpperCamelCase__ =						["FULL_STATE_DICT", "LOCAL_STATE_DICT", "SHARDED_STATE_DICT"]
UpperCamelCase__ =						"2.0.1"
UpperCamelCase__ =						["pdsh", "standard", "openmpi", "mvapich"]
UpperCamelCase__ =						["default", "reduce-overhead", "max-autotune"]

UpperCamelCase__ =						{">": op.gt, ">=": op.ge, "==": op.eq, "!=": op.ne, "<=": op.le, "<": op.lt}

# These are the args for `torch.distributed.launch` for pytorch < 1.9
UpperCamelCase__ =						[
    "nnodes",
    "nproc_per_node",
    "rdzv_backend",
    "rdzv_endpoint",
    "rdzv_id",
    "rdzv_conf",
    "standalone",
    "max_restarts",
    "monitor_interval",
    "start_method",
    "role",
    "module",
    "m",
    "no_python",
    "run_path",
    "log_dir",
    "r",
    "redirects",
    "t",
    "tee",
    "node_rank",
    "master_addr",
    "master_port",
]

UpperCamelCase__ =						["DEEPSPEED", "MULTI_GPU", "FSDP", "MEGATRON_LM"]
UpperCamelCase__ =						["DEEPSPEED", "MULTI_XPU", "FSDP"]









def  UpperCAmelCase__    (    lowercase__						,       lowercase__   ) ->      int:
						if len(lowercase__   ) != len(lowercase__   ):
												raise ValueError("""String lengths must match!"""   )

						__lowercase					=				0

						for chara, chara in zip(lowercase__						,       lowercase__   ):
												if chara != chara:
																		count += 1

						return count


if __name__ == "__main__":
			import doctest

			doctest.testmod()





