




import logging
import os
import sys
import threading
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

from tqdm import auto as tqdm_lib


lowercase_     :    List[Any]      =			threading.Lock()
lowercase_     :    Optional[logging.Handler]      =			None

lowercase_     :    List[Any]      =			{
    'debug': logging.DEBUG,
    'info': logging.INFO,
    'warning': logging.WARNING,
    'error': logging.ERROR,
    'critical': logging.CRITICAL,
}

lowercase_     :    Tuple      =			logging.WARNING

lowercase_     :    List[Any]      =			True


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						_UpperCAmelCase													=					os.getenv("DIFFUSERS_VERBOSITY"     ,   snake_case_						)
						if env_level_str:
												if env_level_str in log_levels:
																		return log_levels[env_level_str]
												else:
																		logging.getLogger().warning(
																		    f"""Unknown option DIFFUSERS_VERBOSITY={env_level_str}, """
																		    f"""has to be one of: { ", ".join(log_levels.keys()						) }"""						)
						return _default_log_level


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						return __name__.split("."						)[0]


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						return logging.getLogger(_get_library_name()						)


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						global _default_handler

						with _lock:
												if _default_handler:
																		# This library has already configured the library root logger.
																		return
												_UpperCAmelCase													=					logging.StreamHandler()  # Set sys.stderr as stream.
												_UpperCAmelCase													=					sys.stderr.flush

												# Apply our default configuration to the library root logger.
												_UpperCAmelCase													=					_get_library_root_logger()
												library_root_logger.addHandler(_default_handler						)
												library_root_logger.setLevel(_get_default_logging_level()						)
												_UpperCAmelCase													=					False


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						global _default_handler

						with _lock:
												if not _default_handler:
																		return

												_UpperCAmelCase													=					_get_library_root_logger()
												library_root_logger.removeHandler(_default_handler						)
												library_root_logger.setLevel(logging.NOTSET						)
												_UpperCAmelCase													=					None


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						return log_levels


def 							__SCREAMING_SNAKE_CASE  (      snake_case_ = None						):

						'''simple docstring'''


						if name is None:
												_UpperCAmelCase													=					_get_library_name()

						_configure_library_root_logger()
						return logging.getLogger(snake_case_						)


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						_configure_library_root_logger()
						return _get_library_root_logger().getEffectiveLevel()


def 							__SCREAMING_SNAKE_CASE  (      snake_case_						):

						'''simple docstring'''


						_configure_library_root_logger()
						_get_library_root_logger().setLevel(snake_case_						)


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						return set_verbosity(snake_case_						)


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						return set_verbosity(snake_case_						)


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						return set_verbosity(snake_case_						)


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						return set_verbosity(snake_case_						)


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						_configure_library_root_logger()

						assert _default_handler is not None
						_get_library_root_logger().removeHandler(_default_handler						)


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						_configure_library_root_logger()

						assert _default_handler is not None
						_get_library_root_logger().addHandler(_default_handler						)


def 							__SCREAMING_SNAKE_CASE  (      snake_case_						):

						'''simple docstring'''


						_configure_library_root_logger()

						assert handler is not None
						_get_library_root_logger().addHandler(snake_case_						)


def 							__SCREAMING_SNAKE_CASE  (      snake_case_						):

						'''simple docstring'''


						_configure_library_root_logger()

						assert handler is not None and handler not in _get_library_root_logger().handlers
						_get_library_root_logger().removeHandler(snake_case_						)


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						_configure_library_root_logger()
						_UpperCAmelCase													=					False


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						_configure_library_root_logger()
						_UpperCAmelCase													=					True


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						_UpperCAmelCase													=					_get_library_root_logger().handlers

						for handler in handlers:
												_UpperCAmelCase													=					logging.Formatter("[%(levelname)s|%(filename)s:%(lineno)s] %(asctime)s >> %(message)s"						)
												handler.setFormatter(snake_case_						)


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						_UpperCAmelCase													=					_get_library_root_logger().handlers

						for handler in handlers:
												handler.setFormatter(snake_case_						)


def 							__SCREAMING_SNAKE_CASE  (      self     ,   *snake_case_     ,   **snake_case_						):

						'''simple docstring'''


						_UpperCAmelCase													=					os.getenv("DIFFUSERS_NO_ADVISORY_WARNINGS"     ,   snake_case_						)
						if no_advisory_warnings:
												return
						self.warning(*snake_case_     ,   **snake_case_						)


lowercase_     :    List[Any]      =			warning_advice






class    __lowerCAmelCase			:







			def __init__(	self   :      Dict   ,   *snake_case__   :      Optional[int]   ,   **snake_case__   :      List[str]				):  # pylint: disable=unused-argument




									"""simple docstring"""


									_UpperCAmelCase													=					args[0] if args else None







			def __iter__(	self   :      List[Any]				):




									"""simple docstring"""


									return iter(self._iterator				)







			def __getattr__(	self   :      Optional[Any]   ,   snake_case__   :      Dict				):




									"""simple docstring"""


									def empty_fn(*snake_case__   :      List[str]   ,   **snake_case__   :      int				):  # pylint: disable=unused-argument
															return

									return empty_fn







			def __enter__(	self   :      List[Any]				):




									"""simple docstring"""


									return self







			def __exit__(	self   :      Dict   ,   snake_case__   :      Optional[int]   ,   snake_case__   :      Optional[Any]   ,   snake_case__   :      Optional[int]				):




									"""simple docstring"""


									return






class    __lowerCAmelCase			:







			def __call__(	self   :      Tuple   ,   *snake_case__   :      List[Any]   ,   **snake_case__   :      List[Any]				):




									"""simple docstring"""


									if _tqdm_active:
															return tqdm_lib.tqdm(*snake_case__   ,   **snake_case__				)
									else:
															return EmptyTqdm(*snake_case__   ,   **snake_case__				)







			def UpperCamelCase      (	self   :      Any   ,   *snake_case__   :      Optional[Any]   ,   **snake_case__   :      Dict				):




									"""simple docstring"""


									_UpperCAmelCase													=					None
									if _tqdm_active:
															return tqdm_lib.tqdm.set_lock(*snake_case__   ,   **snake_case__				)







			def UpperCamelCase      (	self   :      Optional[int]				):




									"""simple docstring"""


									if _tqdm_active:
															return tqdm_lib.tqdm.get_lock()




lowercase_     :    List[str]      =			_tqdm_cls()


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						global _tqdm_active
						return bool(_tqdm_active						)


def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						global _tqdm_active
						_UpperCAmelCase													=					True





def 							__SCREAMING_SNAKE_CASE  (      ):

						'''simple docstring'''


						global _tqdm_active
						_UpperCAmelCase													=					False










import argparse

import torch

from transformers import NystromformerConfig, NystromformerForMaskedLM


def 							__SCREAMING_SNAKE_CASE  (      snake_case_						):

						'''simple docstring'''


						if "model" in orig_key:
												_UpperCAmelCase													=					orig_key.replace("model."     ,   ""						)
						if "norm1" in orig_key:
												_UpperCAmelCase													=					orig_key.replace("norm1"     ,   "attention.output.LayerNorm"						)
						if "norm2" in orig_key:
												_UpperCAmelCase													=					orig_key.replace("norm2"     ,   "output.LayerNorm"						)
						if "norm" in orig_key:
												_UpperCAmelCase													=					orig_key.replace("norm"     ,   "LayerNorm"						)
						if "transformer" in orig_key:
												_UpperCAmelCase													=					orig_key.split("."						)[0].split("_"						)[-1]
												_UpperCAmelCase													=					orig_key.replace(f"""transformer_{layer_num}"""     ,   f"""encoder.layer.{layer_num}"""						)
						if "mha.attn" in orig_key:
												_UpperCAmelCase													=					orig_key.replace("mha.attn"     ,   "attention.self"						)
						if "mha" in orig_key:
												_UpperCAmelCase													=					orig_key.replace("mha"     ,   "attention"						)
						if "W_q" in orig_key:
												_UpperCAmelCase													=					orig_key.replace("W_q"     ,   "self.query"						)
						if "W_k" in orig_key:
												_UpperCAmelCase													=					orig_key.replace("W_k"     ,   "self.key"						)
						if "W_v" in orig_key:
												_UpperCAmelCase													=					orig_key.replace("W_v"     ,   "self.value"						)
						if "ff1" in orig_key:
												_UpperCAmelCase													=					orig_key.replace("ff1"     ,   "intermediate.dense"						)
						if "ff2" in orig_key:
												_UpperCAmelCase													=					orig_key.replace("ff2"     ,   "output.dense"						)
						if "ff" in orig_key:
												_UpperCAmelCase													=					orig_key.replace("ff"     ,   "output.dense"						)
						if "mlm_class" in orig_key:
												_UpperCAmelCase													=					orig_key.replace("mlm.mlm_class"     ,   "cls.predictions.decoder"						)
						if "mlm" in orig_key:
												_UpperCAmelCase													=					orig_key.replace("mlm"     ,   "cls.predictions.transform"						)
						if "cls" not in orig_key:
												_UpperCAmelCase													=					"nystromformer." + orig_key

						return orig_key


def 							__SCREAMING_SNAKE_CASE  (      snake_case_     ,   snake_case_						):

						'''simple docstring'''


						for key in orig_state_dict.copy().keys():
												_UpperCAmelCase													=					orig_state_dict.pop(snake_case_						)

												if ("pooler" in key) or ("sen_class" in key) or ("conv.bias" in key):
																		continue
												else:
																		_UpperCAmelCase													=					val

						_UpperCAmelCase													=					orig_state_dict["cls.predictions.decoder.bias"]
						_UpperCAmelCase													=					(
						    torch.arange(config.max_position_embeddings						).expand((1, -1)						) + 2
						)

						return orig_state_dict


def 							__SCREAMING_SNAKE_CASE  (      snake_case_     ,   snake_case_     ,   snake_case_						):

						'''simple docstring'''


						_UpperCAmelCase													=					torch.load(snake_case_     ,   map_location="cpu"						)["model_state_dict"]
						_UpperCAmelCase													=					NystromformerConfig.from_json_file(snake_case_						)
						_UpperCAmelCase													=					NystromformerForMaskedLM(snake_case_						)

						_UpperCAmelCase													=					convert_checkpoint_helper(snake_case_     ,   snake_case_						)

						model.load_state_dict(snake_case_						)
						model.eval()
						model.save_pretrained(snake_case_						)

						print(f"""Checkpoint successfuly converted. Model saved at {pytorch_dump_path}"""						)


if __name__ == "__main__":
				lowercase_     :    List[str]      =			argparse.ArgumentParser()
				# Required parameters
				parser.add_argument(
				    '--pytorch_model_path', default=None, type=str, required=True, help='Path to Nystromformer pytorch checkpoint.'
				)
				parser.add_argument(
				    '--config_file',
				    default=None,
				    type=str,
				    required=True,
				    help='The json file for Nystromformer model config.',
				)
				parser.add_argument(
				    '--pytorch_dump_path', default=None, type=str, required=True, help='Path to the output PyTorch model.'
				)
				lowercase_     :    int      =			parser.parse_args()
				convert_nystromformer_checkpoint(args.pytorch_model_path, args.config_file, args.pytorch_dump_path)




