


import csv
import json
import logging
import os
import re
import subprocess
import tempfile
import unittest
import zipfile
from pathlib import Path
from typing import Optional
from unittest import mock

import torch

# We use TF to parse the logs
from accelerate import Accelerator
from accelerate.test_utils.testing import (
    MockingTestCase,
    TempDirTestCase,
    require_comet_ml,
    require_tensorboard,
    require_wandb,
    skip,
)
from accelerate.tracking import CometMLTracker, GeneralTracker
from accelerate.utils import ProjectConfiguration, is_comet_ml_available, is_tensorboard_available


if is_comet_ml_available():
				from comet_ml import OfflineExperiment

if is_tensorboard_available():
				import struct

				import tensorboard.compat.proto.event_pba as event_pba

UpperCAmelCase_	:     Union[str, Any]							     =	logging.getLogger(__name__)





@require_tensorboard
class 					lowercase__						(		unittest.TestCase      ):





							'''simple docstring'''


							def UpperCAmelCase_			(					self						):
											_SCREAMING_SNAKE_CASE				: Dict  	=   """test_project_with_config"""
											with tempfile.TemporaryDirectory() as dirpath:
															_SCREAMING_SNAKE_CASE				: List[str]  	=   Accelerator(log_with="""tensorboard"""					,      project_dir=__snake_case						)
															_SCREAMING_SNAKE_CASE				: Tuple  	=   {"""num_iterations""": 12, """learning_rate""": 1e-2, """some_boolean""": False, """some_string""": """some_value"""}
															accelerator.init_trackers(__snake_case					,      __snake_case						)
															accelerator.end_training()
															for child in Path(f"""{dirpath}/{project_name}"""						).glob("""*/**"""						):
																			_SCREAMING_SNAKE_CASE				: Optional[int]  	=   list(filter(lambda __snake_case						: x.is_file()					,      child.iterdir()						)						)[0]
															self.assertNotEqual(str(__snake_case						)					,      """"""						)






							def UpperCAmelCase_			(					self						):
											_SCREAMING_SNAKE_CASE				: List[Any]  	=   """test_project_with_log"""
											with tempfile.TemporaryDirectory() as dirpath:
															_SCREAMING_SNAKE_CASE				: List[Any]  	=   Accelerator(log_with="""tensorboard"""					,      project_dir=__snake_case						)
															accelerator.init_trackers(__snake_case						)
															_SCREAMING_SNAKE_CASE				: Union[str, Any]  	=   {"""total_loss""": 0.1, """iteration""": 1, """my_text""": """some_value"""}
															accelerator.log(__snake_case					,      step=0						)
															accelerator.end_training()
															# Logged values are stored in the outermost-tfevents file and can be read in as a TFRecord
															# Names are randomly generated each time
															_SCREAMING_SNAKE_CASE				: Optional[int]  	=   list(filter(lambda __snake_case						: x.is_file()					,      Path(f"""{dirpath}/{project_name}"""						).iterdir()						)						)[0]
															self.assertNotEqual(str(__snake_case						)					,      """"""						)






							def UpperCAmelCase_			(					self						):
											_SCREAMING_SNAKE_CASE				: List[str]  	=   """test_project_with_log"""
											with tempfile.TemporaryDirectory() as dirpath:
															_SCREAMING_SNAKE_CASE				: Any  	=   Accelerator(log_with="""tensorboard"""					,      project_dir=__snake_case						)
															accelerator.init_trackers(__snake_case						)
															_SCREAMING_SNAKE_CASE				: Union[str, Any]  	=   {"""tensor""": torch.tensor(1						)}
															accelerator.log(__snake_case					,      step=0						)
															accelerator.end_training()
															# Logged values are stored in the outermost-tfevents file and can be read in as a TFRecord
															# Names are randomly generated each time
															_SCREAMING_SNAKE_CASE				: Optional[Any]  	=   list(filter(lambda __snake_case						: x.is_file()					,      Path(f"""{dirpath}/{project_name}"""						).iterdir()						)						)[0]
															# Reading implementation based on https://github.com/pytorch/pytorch/issues/45327#issuecomment-703757685
															with open(__snake_case					,      """rb"""						) as f:
																			_SCREAMING_SNAKE_CASE				: List[str]  	=   f.read()
															_SCREAMING_SNAKE_CASE				: Optional[Any]  	=   False
															while data:
																			_SCREAMING_SNAKE_CASE				: int  	=   struct.unpack("""Q"""					,      data[:8]						)

																			_SCREAMING_SNAKE_CASE				: Tuple  	=   data[12 : 12 + int(header[0]						)]  # 8+4
																			_SCREAMING_SNAKE_CASE				: Dict  	=   data[12 + int(header[0]						) + 4 :]
																			_SCREAMING_SNAKE_CASE				: List[str]  	=   event_pba.Event()

																			event.ParseFromString(__snake_case						)
																			if event.HasField("""summary"""						):
																							for value in event.summary.value:
																											if value.simple_value == 1.0 and value.tag == "tensor":
																															_SCREAMING_SNAKE_CASE				: List[Any]  	=   True
															self.assertTrue(__snake_case					,      """Converted tensor was not found in the log file!"""						)






							def UpperCAmelCase_			(					self						):
											with self.assertRaisesRegex(__snake_case					,      """Logging with `tensorboard` requires a `logging_dir`"""						):
															_SCREAMING_SNAKE_CASE				: str  	=   Accelerator(log_with="""tensorboard"""						)
											with tempfile.TemporaryDirectory() as dirpath:
															_SCREAMING_SNAKE_CASE				: Any  	=   Accelerator(log_with="""tensorboard"""					,      project_dir=__snake_case						)






							def UpperCAmelCase_			(					self						):
											_SCREAMING_SNAKE_CASE				: int  	=   ProjectConfiguration(total_limit=30						)
											with tempfile.TemporaryDirectory() as dirpath:
															_SCREAMING_SNAKE_CASE				: Tuple  	=   Accelerator(log_with="""tensorboard"""					,      project_dir=__snake_case					,      project_config=__snake_case						)





@require_wandb
@mock.patch.dict(os.environ  ,  {"""WANDB_MODE""": """offline"""}      )
class 					lowercase__						(		_snake_case  ,  _snake_case      ):





							'''simple docstring'''


							def UpperCAmelCase_			(					self						):
											super().setUp()
											# wandb let's us override where logs are stored to via the WANDB_DIR env var
											self.add_mocks(mock.patch.dict(os.environ					,      {"""WANDB_DIR""": self.tmpdir}						)						)






							@staticmethod
							def UpperCAmelCase_			(					__snake_case					,      __snake_case					,      __snake_case = True						):
											_SCREAMING_SNAKE_CASE				: Union[str, Any]  	=   rf"""{section} ([\S\s]*?)\n\n"""
											if record:
															_SCREAMING_SNAKE_CASE				: Dict  	=   rf"""Record: {pattern}"""
											_SCREAMING_SNAKE_CASE				: Optional[int]  	=   re.findall(__snake_case					,      __snake_case						)[0]
											# A config
											if section == "config" or section == "history":
															_SCREAMING_SNAKE_CASE				: int  	=   re.findall(r"""\"([a-zA-Z0-9_.,]+)"""					,      __snake_case						)
															return {key: val for key, val in zip(cleaned_record[0::2]					,      cleaned_record[1::2]						)}
											# Everything else
											else:
															return dict(re.findall(r"""(\w+): \"([^\s]+)\""""					,      __snake_case						)						)






							@skip
							def UpperCAmelCase_			(					self						):
											_SCREAMING_SNAKE_CASE				: Any  	=   """test_project_with_config"""
											_SCREAMING_SNAKE_CASE				: int  	=   Accelerator(log_with="""wandb"""						)
											_SCREAMING_SNAKE_CASE				: Any  	=   {"""num_iterations""": 12, """learning_rate""": 1e-2, """some_boolean""": False, """some_string""": """some_value"""}
											_SCREAMING_SNAKE_CASE				: Any  	=   {"""wandb""": {"""tags""": ["""my_tag"""]}}
											accelerator.init_trackers(__snake_case					,      __snake_case					,      __snake_case						)
											_SCREAMING_SNAKE_CASE				: Union[str, Any]  	=   {"""total_loss""": 0.1, """iteration""": 1, """my_text""": """some_value"""}
											accelerator.log(__snake_case					,      step=0						)
											accelerator.end_training()
											# The latest offline log is stored at wandb/latest-run/*.wandb
											for child in Path(f"""{self.tmpdir}/wandb/latest-run"""						).glob("""*"""						):
															if child.is_file() and child.suffix == ".wandb":
																			_SCREAMING_SNAKE_CASE				: Dict  	=   subprocess.check_output(
																			    ["""wandb""", """sync""", """--view""", """--verbose""", str(__snake_case						)]					,      env=os.environ.copy()						).decode("""utf8"""					,      """ignore"""						)
																			break

        # Check HPS through careful parsing and cleaning
											_SCREAMING_SNAKE_CASE				: Tuple  	=   self.parse_log(__snake_case					,      """config"""						)
											self.assertEqual(logged_items["""num_iterations"""]					,      """12"""						)
											self.assertEqual(logged_items["""learning_rate"""]					,      """0.01"""						)
											self.assertEqual(logged_items["""some_boolean"""]					,      """false"""						)
											self.assertEqual(logged_items["""some_string"""]					,      """some_value"""						)
											self.assertEqual(logged_items["""some_string"""]					,      """some_value"""						)

											# Run tags
											_SCREAMING_SNAKE_CASE				: Union[str, Any]  	=   self.parse_log(__snake_case					,      """run"""					,      __snake_case						)
											self.assertEqual(logged_items["""tags"""]					,      """my_tag"""						)

											# Actual logging
											_SCREAMING_SNAKE_CASE				: Tuple  	=   self.parse_log(__snake_case					,      """history"""						)
											self.assertEqual(logged_items["""total_loss"""]					,      """0.1"""						)
											self.assertEqual(logged_items["""iteration"""]					,      """1"""						)
											self.assertEqual(logged_items["""my_text"""]					,      """some_value"""						)
											self.assertEqual(logged_items["""_step"""]					,      """0"""						)







def     snake_case_     (						self							,   SCREAMING_SNAKE_CASE__							,   SCREAMING_SNAKE_CASE__  ):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE				: str  	=   run_name
				_SCREAMING_SNAKE_CASE				: Optional[Any]  	=   OfflineExperiment(project_name=SCREAMING_SNAKE_CASE__							,   offline_directory=SCREAMING_SNAKE_CASE__  )
				logger.info(f"""Initialized offline CometML project {self.run_name}"""  )
				logger.info("""Make sure to log any initial configurations with `self.store_init_configuration` before training!"""  )





@require_comet_ml
@mock.patch.object(_snake_case  ,  """__init__"""  ,  _snake_case      )
class 					lowercase__						(		unittest.TestCase      ):





							'''simple docstring'''


							@staticmethod
							def UpperCAmelCase_			(					__snake_case					,      __snake_case					,      __snake_case = False						):
											for log in log_list:
															_SCREAMING_SNAKE_CASE				: List[str]  	=   json.loads(__snake_case						)["""payload"""]
															if is_param and "param" in j.keys():
																			if j["param"]["paramName"] == key:
																							return j["param"]["paramValue"]
															if "log_other" in j.keys():
																			if j["log_other"]["key"] == key:
																							return j["log_other"]["val"]
															if "metric" in j.keys():
																			if j["metric"]["metricName"] == key:
																							return j["metric"]["metricValue"]






							def UpperCAmelCase_			(					self						):
											with tempfile.TemporaryDirectory() as d:
															_SCREAMING_SNAKE_CASE				: Any  	=   CometMLTracker("""test_project_with_config"""					,      __snake_case						)
															_SCREAMING_SNAKE_CASE				: Optional[int]  	=   Accelerator(log_with=__snake_case						)
															_SCREAMING_SNAKE_CASE				: int  	=   {"""num_iterations""": 12, """learning_rate""": 1e-2, """some_boolean""": False, """some_string""": """some_value"""}
															accelerator.init_trackers(__snake_case					,      __snake_case						)
															accelerator.end_training()
															_SCREAMING_SNAKE_CASE				: Union[str, Any]  	=   os.listdir(__snake_case						)[0]  # Comet is nice, it's just a zip file here
															# We parse the raw logs
															_SCREAMING_SNAKE_CASE				: Optional[Any]  	=   os.path.join(__snake_case					,      __snake_case						)
															_SCREAMING_SNAKE_CASE				: Any  	=   zipfile.ZipFile(__snake_case					,      """r"""						)
															_SCREAMING_SNAKE_CASE				: List[str]  	=   archive.open("""messages.json"""						).read().decode("""utf-8"""						)
											_SCREAMING_SNAKE_CASE				: Union[str, Any]  	=   log.split("""\n"""						)[:-1]
											self.assertEqual(self.get_value_from_key(__snake_case					,      """num_iterations"""					,      __snake_case						)					,      12						)
											self.assertEqual(self.get_value_from_key(__snake_case					,      """learning_rate"""					,      __snake_case						)					,      0.01						)
											self.assertEqual(self.get_value_from_key(__snake_case					,      """some_boolean"""					,      __snake_case						)					,      __snake_case						)
											self.assertEqual(self.get_value_from_key(__snake_case					,      """some_string"""					,      __snake_case						)					,      """some_value"""						)






							def UpperCAmelCase_			(					self						):
											with tempfile.TemporaryDirectory() as d:
															_SCREAMING_SNAKE_CASE				: List[Any]  	=   CometMLTracker("""test_project_with_config"""					,      __snake_case						)
															_SCREAMING_SNAKE_CASE				: Optional[int]  	=   Accelerator(log_with=__snake_case						)
															accelerator.init_trackers(__snake_case						)
															_SCREAMING_SNAKE_CASE				: Dict  	=   {"""total_loss""": 0.1, """iteration""": 1, """my_text""": """some_value"""}
															accelerator.log(__snake_case					,      step=0						)
															accelerator.end_training()
															_SCREAMING_SNAKE_CASE				: Dict  	=   os.listdir(__snake_case						)[0]  # Comet is nice, it's just a zip file here
															# We parse the raw logs
															_SCREAMING_SNAKE_CASE				: Dict  	=   os.path.join(__snake_case					,      __snake_case						)
															_SCREAMING_SNAKE_CASE				: Dict  	=   zipfile.ZipFile(__snake_case					,      """r"""						)
															_SCREAMING_SNAKE_CASE				: Tuple  	=   archive.open("""messages.json"""						).read().decode("""utf-8"""						)
											_SCREAMING_SNAKE_CASE				: Any  	=   log.split("""\n"""						)[:-1]
											self.assertEqual(self.get_value_from_key(__snake_case					,      """curr_step"""					,      __snake_case						)					,      0						)
											self.assertEqual(self.get_value_from_key(__snake_case					,      """total_loss"""						)					,      0.1						)
											self.assertEqual(self.get_value_from_key(__snake_case					,      """iteration"""						)					,      1						)
											self.assertEqual(self.get_value_from_key(__snake_case					,      """my_text"""						)					,      """some_value"""						)





class 					lowercase__						(		_snake_case      ):





							'''simple docstring'''


							A_							:   Tuple   			=						[
							    """total_loss""",
							    """iteration""",
							    """my_text""",
							    """learning_rate""",
							    """num_iterations""",
							    """some_boolean""",
							    """some_string""",
							]

							A_							:   List[Any]   			=						"""my_custom_tracker"""
							A_							:   int   			=						False






							def __init__(					self					,      __snake_case						):
											_SCREAMING_SNAKE_CASE				: Union[str, Any]  	=   open(f"""{dir}/log.csv"""					,      """w+"""						)
											_SCREAMING_SNAKE_CASE				: Any  	=   csv.DictWriter(self.f					,      fieldnames=self._col_names						)
											self.writer.writeheader()






							@property
							def UpperCAmelCase_			(					self						):
											return self.writer






							def UpperCAmelCase_			(					self					,      __snake_case						):
											logger.info("""Call init"""						)
											self.writer.writerow(__snake_case						)






							def UpperCAmelCase_			(					self					,      __snake_case					,      __snake_case						):
											logger.info("""Call log"""						)
											self.writer.writerow(__snake_case						)






							def UpperCAmelCase_			(					self						):
											self.f.close()





class 					lowercase__						(		unittest.TestCase      ):





							'''simple docstring'''


							def UpperCAmelCase_			(					self						):
											with tempfile.TemporaryDirectory() as d:
															_SCREAMING_SNAKE_CASE				: List[str]  	=   MyCustomTracker(__snake_case						)
															_SCREAMING_SNAKE_CASE				: Optional[Any]  	=   Accelerator(log_with=__snake_case						)
															_SCREAMING_SNAKE_CASE				: List[str]  	=   {"""num_iterations""": 12, """learning_rate""": 1e-2, """some_boolean""": False, """some_string""": """some_value"""}
															accelerator.init_trackers("""Some name"""					,      __snake_case						)
															accelerator.end_training()
															with open(f"""{d}/log.csv"""					,      """r"""						) as f:
																			_SCREAMING_SNAKE_CASE				: str  	=   csv.DictReader(__snake_case						)
																			_SCREAMING_SNAKE_CASE				: int  	=   next(__snake_case						)
																			_SCREAMING_SNAKE_CASE				: Optional[int]  	=   {
																			    """total_loss""": """""",
																			    """iteration""": """""",
																			    """my_text""": """""",
																			    """learning_rate""": """0.01""",
																			    """num_iterations""": """12""",
																			    """some_boolean""": """False""",
																			    """some_string""": """some_value""",
																			}
																			self.assertDictEqual(__snake_case					,      __snake_case						)






							def UpperCAmelCase_			(					self						):
											with tempfile.TemporaryDirectory() as d:
															_SCREAMING_SNAKE_CASE				: Optional[Any]  	=   MyCustomTracker(__snake_case						)
															_SCREAMING_SNAKE_CASE				: Dict  	=   Accelerator(log_with=__snake_case						)
															accelerator.init_trackers("""Some name"""						)
															_SCREAMING_SNAKE_CASE				: Tuple  	=   {"""total_loss""": 0.1, """iteration""": 1, """my_text""": """some_value"""}
															accelerator.log(__snake_case					,      step=0						)
															accelerator.end_training()
															with open(f"""{d}/log.csv"""					,      """r"""						) as f:
																			_SCREAMING_SNAKE_CASE				: Optional[int]  	=   csv.DictReader(__snake_case						)
																			_SCREAMING_SNAKE_CASE				: int  	=   next(__snake_case						)
																			_SCREAMING_SNAKE_CASE				: Tuple  	=   {
																			    """total_loss""": """0.1""",
																			    """iteration""": """1""",
																			    """my_text""": """some_value""",
																			    """learning_rate""": """""",
																			    """num_iterations""": """""",
																			    """some_boolean""": """""",
																			    """some_string""": """""",
																			}
																			self.assertDictEqual(__snake_case					,      __snake_case						)








'''simple docstring'''


from ..utils import DummyObject, requires_backends





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Any   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[str]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Any   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Any   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   str   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Union[str, Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[str]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Any   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Tuple   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Any   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Optional[int]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Optional[int]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Optional[Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Optional[int]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Tuple   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   str   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Any   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Dict   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   str   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Optional[int]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Any   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   str   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Tuple   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Any   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[str]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Any   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Optional[int]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[str]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   int   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Optional[int]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Tuple   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Dict   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Optional[int]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Union[str, Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[str]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Any   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Dict   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Tuple   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Any   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[str]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Any   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Any   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Dict   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Union[str, Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   Optional[Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)





class 					lowercase__						(		metaclass=_snake_case      ):





							'''simple docstring'''


							A_							:   List[Any]   			=						["""tokenizers"""]






							def __init__(					self					,      *__snake_case					,      **__snake_case						):
											requires_backends(self					,      ["""tokenizers"""]						)




