



import importlib.util
import os
import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import (
    is_accelerate_available,
    is_flax_available,
    is_safetensors_available,
    is_tf_available,
    is_torch_available,
)
from . import BaseTransformersCLICommand


def      UpperCamelCase(    __UpperCamelCase				:						Optional[int]					):
		return EnvironmentCommand()


def      UpperCamelCase(    __UpperCamelCase				:						Dict					):
		return EnvironmentCommand(args.accelerate_config_file					)





class 							__snake_case		(	_SCREAMING_SNAKE_CASE		):




							@staticmethod
							def   UpperCAmelCase__     (			A_	:			Any):
									lowerCAmelCase_     :	List[Any]							   =					parser.add_parser('''env''')
									download_parser.set_defaults(func=_lowercase)
									download_parser.add_argument(
									    '''--accelerate-config_file'''							,							default=_lowercase							,							help='''The accelerate config file to use for the default values in the launching script.'''							,							)
									download_parser.set_defaults(func=_lowercase)




							def __init__(			self	:			Dict							,							A_	:			Optional[int]							,							*A_	:			str):
									lowerCAmelCase_     :	Optional[int]							   =					accelerate_config_file




							def   UpperCAmelCase__     (			self	:			Any):
									lowerCAmelCase_     :	Any							   =					'''not installed'''
									if is_safetensors_available():
											import safetensors

											lowerCAmelCase_     :	Optional[Any]							   =					safetensors.__version__
									elif importlib.util.find_spec('''safetensors''') is not None:
											import safetensors

											lowerCAmelCase_     :	Optional[Any]							   =					F"""{safetensors.__version__} but is ignored because of PyTorch version too old."""

									lowerCAmelCase_     :	Optional[Any]							   =					'''not installed'''
									lowerCAmelCase_     :	Tuple							   =					'''not found'''
									if is_accelerate_available():
											import accelerate
											from accelerate.commands.config import default_config_file, load_config_from_file

											lowerCAmelCase_     :	Optional[int]							   =					accelerate.__version__
											# Get the default from the config file.
											if self._accelerate_config_file is not None or os.path.isfile(_lowercase):
													lowerCAmelCase_     :	int							   =					load_config_from_file(self._accelerate_config_file).to_dict()

											lowerCAmelCase_     :	Dict							   =					(
											    '''\n'''.join([F"""\t- {prop}: {val}""" for prop, val in accelerate_config.items()])
											    if isinstance(_lowercase							,							_lowercase)
											    else F"""\t{accelerate_config}"""
											)

									lowerCAmelCase_     :	Tuple							   =					'''not installed'''
									lowerCAmelCase_     :	str							   =					'''NA'''
									if is_torch_available():
											import torch

											lowerCAmelCase_     :	int							   =					torch.__version__
											lowerCAmelCase_     :	Optional[Any]							   =					torch.cuda.is_available()

									lowerCAmelCase_     :	Any							   =					'''not installed'''
									lowerCAmelCase_     :	Union[str, Any]							   =					'''NA'''
									if is_tf_available():
											import tensorflow as tf

											lowerCAmelCase_     :	Optional[Any]							   =					tf.__version__
											try:
													# deprecated in v2.1
													lowerCAmelCase_     :	Any							   =					tf.test.is_gpu_available()
											except AttributeError:
													# returns list of devices, convert to bool
													lowerCAmelCase_     :	List[str]							   =					bool(tf.config.list_physical_devices('''GPU'''))

									lowerCAmelCase_     :	str							   =					'''not installed'''
									lowerCAmelCase_     :	int							   =					'''not installed'''
									lowerCAmelCase_     :	Any							   =					'''not installed'''
									lowerCAmelCase_     :	Any							   =					'''NA'''
									if is_flax_available():
											import flax
											import jax
											import jaxlib

											lowerCAmelCase_     :	Dict							   =					flax.__version__
											lowerCAmelCase_     :	Tuple							   =					jax.__version__
											lowerCAmelCase_     :	List[Any]							   =					jaxlib.__version__
											lowerCAmelCase_     :	str							   =					jax.lib.xla_bridge.get_backend().platform

									lowerCAmelCase_     :	Optional[Any]							   =					{
									    '''`transformers` version''': version,
									    '''Platform''': platform.platform(),
									    '''Python version''': platform.python_version(),
									    '''Huggingface_hub version''': huggingface_hub.__version__,
									    '''Safetensors version''': F"""{safetensors_version}""",
									    '''Accelerate version''': F"""{accelerate_version}""",
									    '''Accelerate config''': F"""{accelerate_config_str}""",
									    '''PyTorch version (GPU?)''': F"""{pt_version} ({pt_cuda_available})""",
									    '''Tensorflow version (GPU?)''': F"""{tf_version} ({tf_cuda_available})""",
									    '''Flax version (CPU?/GPU?/TPU?)''': F"""{flax_version} ({jax_backend})""",
									    '''Jax version''': F"""{jax_version}""",
									    '''JaxLib version''': F"""{jaxlib_version}""",
									    '''Using GPU in script?''': '''<fill in>''',
									    '''Using distributed or parallel set-up in script?''': '''<fill in>''',
									}

									print('''\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n''')
									print(self.format_dict(_lowercase))

									return info







							@staticmethod
							def   UpperCAmelCase__     (			A_	:			Dict):
									return "\n".join([F"""- {prop}: {val}""" for prop, val in d.items()]) + "\n"







'''simple docstring'''



from ...configuration_utils import PretrainedConfig
from ...utils import logging


_lowercase          =						logging.get_logger(__name__)

_lowercase          =						{
    """facebook/dpr-ctx_encoder-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-ctx_encoder-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-question_encoder-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-question_encoder-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-reader-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-reader-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-ctx_encoder-multiset-base""": (
        """https://huggingface.co/facebook/dpr-ctx_encoder-multiset-base/resolve/main/config.json"""
    ),
    """facebook/dpr-question_encoder-multiset-base""": (
        """https://huggingface.co/facebook/dpr-question_encoder-multiset-base/resolve/main/config.json"""
    ),
    """facebook/dpr-reader-multiset-base""": (
        """https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/config.json"""
    ),
}




class     UpperCAmelCase_	(						_SCREAMING_SNAKE_CASE					):






						'''simple docstring'''






						_lowercase						: str										=  '''dpr'''




						def __init__(   self       ,  _lowercase=30_522       ,  _lowercase=768       ,  _lowercase=12       ,  _lowercase=12       ,  _lowercase=3_072       ,  _lowercase="gelu"       ,  _lowercase=0.1       ,  _lowercase=0.1       ,  _lowercase=512       ,  _lowercase=2       ,  _lowercase=0.02       ,  _lowercase=1e-12       ,  _lowercase=0       ,  _lowercase="absolute"       ,  _lowercase = 0       ,  **_lowercase       ,  ):

												"""simple docstring"""



												super().__init__(pad_token_id=_lowercase       ,  **_lowercase )

												_lowerCAmelCase    		=					vocab_size
												_lowerCAmelCase    		=					hidden_size
												_lowerCAmelCase    		=					num_hidden_layers
												_lowerCAmelCase    		=					num_attention_heads
												_lowerCAmelCase    		=					hidden_act
												_lowerCAmelCase    		=					intermediate_size
												_lowerCAmelCase    		=					hidden_dropout_prob
												_lowerCAmelCase    		=					attention_probs_dropout_prob
												_lowerCAmelCase    		=					max_position_embeddings
												_lowerCAmelCase    		=					type_vocab_size
												_lowerCAmelCase    		=					initializer_range
												_lowerCAmelCase    		=					layer_norm_eps
												_lowerCAmelCase    		=					projection_dim
												_lowerCAmelCase    		=					position_embedding_type
