






from dataclasses import dataclass, field
from typing import Tuple

from ..utils import cached_property, is_tf_available, logging, requires_backends
from .benchmark_args_utils import BenchmarkArguments


if is_tf_available():
     import tensorflow as tf


lowerCamelCase__       		=  logging.get_logger(__name__)




@dataclass
class       snake_case__ (				lowercase_):

       '''simple docstring'''
       lowerCamelCase				:					Optional[Any]								=			[
           "no_inference",
           "no_cuda",
           "no_tpu",
           "no_speed",
           "no_memory",
           "no_env_print",
           "no_multi_process",
       ]



       def __init__(				self      ,    **a__     )			->   Optional[int]:






            '''simple docstring'''





            for deprecated_arg in self.deprecated_args:
                 if deprecated_arg in kwargs:
                      __snake_case      :Optional[int] 							=    deprecated_arg[3:]
                      __snake_case      :Any 							=    not kwargs.pop(a__     )
                      logger.warning(
                          F'''{deprecated_arg} is depreciated. Please use --no-{positive_arg} or'''
                          F''' {positive_arg}={kwargs[positive_arg]}'''     )
            __snake_case      :List[Any] 							=    kwargs.pop("""tpu_name"""      ,    self.tpu_name     )
            __snake_case      :Dict 							=    kwargs.pop("""device_idx"""      ,    self.device_idx     )
            __snake_case      :Dict 							=    kwargs.pop("""eager_mode"""      ,    self.eager_mode     )
            __snake_case      :Union[str, Any] 							=    kwargs.pop("""use_xla"""      ,    self.use_xla     )
            super().__init__(**a__     )

       lowerCamelCase				:					str								=			field(
           default=lowercase_						,     metadata={"help": "Name of TPU"}						,     )
       lowerCamelCase				:					int								=			field(
           default=0						,     metadata={"help": "CPU / GPU device index. Defaults to 0."}						,     )
       lowerCamelCase				:					bool								=			field(default=lowercase_						,     metadata={"help": "Benchmark models in eager model."})
       lowerCamelCase				:					bool								=			field(
           default=lowercase_						,     metadata={
               "help": "Benchmark models using XLA JIT compilation. Note that `eager_model` has to be set to `False`."
           }						,     )



       @cached_property
       def        __lowercase    (				self     )			->   Tuple["tf.distribute.cluster_resolver.TPUClusterResolver"]:






            '''simple docstring'''





            requires_backends(self      ,    ["""tf"""]     )
            __snake_case      :int 							=    None
            if self.tpu:
                 try:
                      if self.tpu_name:
                           __snake_case      :Tuple 							=    tf.distribute.cluster_resolver.TPUClusterResolver(self.tpu_name     )
                      else:
                           __snake_case      :Any 							=    tf.distribute.cluster_resolver.TPUClusterResolver()
                 except ValueError:
                      __snake_case      :Any 							=    None
            return tpu



       @cached_property
       def        __lowercase    (				self     )			->   Tuple["tf.distribute.Strategy", "tf.distribute.cluster_resolver.TPUClusterResolver"]:






            '''simple docstring'''





            requires_backends(self      ,    ["""tf"""]     )
            if self.is_tpu:
                 tf.config.experimental_connect_to_cluster(self._setup_tpu     )
                 tf.tpu.experimental.initialize_tpu_system(self._setup_tpu     )

                 __snake_case      :Tuple 							=    tf.distribute.TPUStrategy(self._setup_tpu     )
            else:
                 # currently no multi gpu is allowed
                 if self.is_gpu:
                      # TODO: Currently only single GPU is supported
                      tf.config.set_visible_devices(self.gpu_list[self.device_idx]      ,    """GPU"""     )
                      __snake_case      :List[Any] 							=    tf.distribute.OneDeviceStrategy(device=F'''/gpu:{self.device_idx}'''     )
                 else:
                      tf.config.set_visible_devices([]      ,    """GPU"""     )  # disable GPU
                      __snake_case      :Any 							=    tf.distribute.OneDeviceStrategy(device=F'''/cpu:{self.device_idx}'''     )

            return strategy



       @property
       def        __lowercase    (				self     )			->   bool:






            '''simple docstring'''





            requires_backends(self      ,    ["""tf"""]     )
            return self._setup_tpu is not None



       @property
       def        __lowercase    (				self     )			->   "tf.distribute.Strategy":






            '''simple docstring'''





            requires_backends(self      ,    ["""tf"""]     )
            return self._setup_strategy



       @property
       def        __lowercase    (				self     )			->   Optional[int]:






            '''simple docstring'''





            requires_backends(self      ,    ["""tf"""]     )
            return tf.config.list_physical_devices("""GPU"""     )



       @property
       def        __lowercase    (				self     )			->   int:






            '''simple docstring'''





            requires_backends(self      ,    ["""tf"""]     )
            if self.cuda:
                 return len(self.gpu_list     )
            return 0



       @property
       def        __lowercase    (				self     )			->   bool:






            '''simple docstring'''





            return self.n_gpu > 0










import importlib
import os

import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry

from datasets.filesystems import COMPRESSION_FILESYSTEMS, HfFileSystem, extract_path_from_uri, is_remote_filesystem

from .utils import require_lza, require_zstandard






def 	UpperCamelCase	(							snake_case__  : int	):




     '''simple docstring'''






     assert "mock" in _fsspec_registry
     assert "bz2" in _fsspec_registry






def 	UpperCamelCase	(							):




     '''simple docstring'''






     assert "mock" not in _fsspec_registry
     assert "bz2" in _fsspec_registry






def 	UpperCamelCase	(							):




     '''simple docstring'''






     __snake_case      :Tuple 							=    """mock-s3-bucket"""
     __snake_case      :Optional[Any] 							=    f'''s3://{mock_bucket}'''
     __snake_case      :Optional[int] 							=    extract_path_from_uri(snake_case__	)
     assert dataset_path.startswith("""s3://"""	) is False

     __snake_case      :Union[str, Any] 							=    """./local/path"""
     __snake_case      :List[str] 							=    extract_path_from_uri(snake_case__	)
     assert dataset_path == new_dataset_path






def 	UpperCamelCase	(							snake_case__  : str	):




     '''simple docstring'''






     __snake_case      :List[str] 							=    is_remote_filesystem(snake_case__	)
     assert is_remote is True

     __snake_case      :Any 							=    fsspec.filesystem("""file"""	)

     __snake_case      :Optional[Any] 							=    is_remote_filesystem(snake_case__	)
     assert is_remote is False






@pytest.mark.parametrize("""compression_fs_class"""						,snake_case__	)
def 	UpperCamelCase	(							snake_case__  : Optional[Any]						,snake_case__  : List[str]						,snake_case__  : int						,snake_case__  : List[Any]						,snake_case__  : Tuple						,snake_case__  : str						,snake_case__  : Optional[Any]	):




     '''simple docstring'''






     __snake_case      :Optional[int] 							=    {"""gzip""": gz_file, """xz""": xz_file, """zstd""": zstd_file, """bz2""": bza_file, """lz4""": lza_file}
     __snake_case      :Optional[Any] 							=    input_paths[compression_fs_class.protocol]
     if input_path is None:
          __snake_case      :Optional[int] 							=    f'''for \'{compression_fs_class.protocol}\' compression protocol, '''
          if compression_fs_class.protocol == "lz4":
               reason += require_lza.kwargs["reason"]
          elif compression_fs_class.protocol == "zstd":
               reason += require_zstandard.kwargs["reason"]
          pytest.skip(snake_case__	)
     __snake_case      :Optional[Any] 							=    fsspec.filesystem(compression_fs_class.protocol						,fo=snake_case__	)
     assert isinstance(snake_case__						,snake_case__	)
     __snake_case      :Dict 							=    os.path.basename(snake_case__	)
     __snake_case      :Dict 							=    expected_filename[: expected_filename.rindex("""."""	)]
     assert fs.glob("""*"""	) == [expected_filename]
     with fs.open(snake_case__						,"""r"""						,encoding="""utf-8"""	) as f, open(snake_case__						,encoding="""utf-8"""	) as expected_file:
          assert f.read() == expected_file.read()






@pytest.mark.parametrize("""protocol"""						,["""zip""", """gzip"""]	)
def 	UpperCamelCase	(							snake_case__  : List[Any]						,snake_case__  : List[Any]						,snake_case__  : Dict	):




     '''simple docstring'''






     __snake_case      :Optional[int] 							=    {"""zip""": zip_jsonl_path, """gzip""": jsonl_gz_path}
     __snake_case      :List[str] 							=    compressed_file_paths[protocol]
     __snake_case      :Optional[int] 							=    """dataset.jsonl"""
     __snake_case      :Optional[int] 							=    f'''{protocol}://{member_file_path}::{compressed_file_path}'''
     __snake_case							,			*__snake_case      :Optional[Any] 							=    fsspec.get_fs_token_paths(snake_case__	)
     assert fs.isfile(snake_case__	)
     assert not fs.isfile("""non_existing_""" + member_file_path	)






@pytest.mark.integration
def 	UpperCamelCase	(							snake_case__  : Optional[int]						,snake_case__  : Dict						,snake_case__  : List[str]						,snake_case__  : Dict	):




     '''simple docstring'''






     __snake_case      :List[Any] 							=    hf_api.dataset_info(snake_case__						,token=snake_case__	)
     __snake_case      :List[str] 							=    HfFileSystem(repo_info=snake_case__						,token=snake_case__	)
     assert sorted(hffs.glob("""*"""	)	) == [".gitattributes", "data"]
     assert hffs.isdir("""data"""	)
     assert hffs.isfile(""".gitattributes"""	) and hffs.isfile("""data/text_data.txt"""	)
     with open(snake_case__	) as f:
          assert hffs.open("""data/text_data.txt"""						,"""r"""	).read() == f.read()






def 	UpperCamelCase	(							):




     '''simple docstring'''






     __snake_case      :str 							=    """bz2"""

     # Import module
     import datasets.filesystems

     # Overwrite protocol and reload
     register_implementation(snake_case__						,snake_case__						,clobber=snake_case__	)
     with pytest.warns(snake_case__	) as warning_info:
          importlib.reload(datasets.filesystems	)

     assert len(snake_case__	) == 1
     assert (
         str(warning_info[0].message	)
         == f'''A filesystem protocol was already set for {protocol} and will be overwritten.'''
     )


