

# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# this script dumps information about the environment

import os
import sys

import transformers


SCREAMING_SNAKE_CASE		:str						=     """3"""

print("""Python version:""", sys.version)
print("""transformers version:""", transformers.__version__)

try:
 import torch

 print("""Torch version:""", torch.__version__)
 print("""Cuda available:""", torch.cuda.is_available())
 print("""Cuda version:""", torch.version.cuda)
 print("""CuDNN version:""", torch.backends.cudnn.version())
 print("""Number of GPUs available:""", torch.cuda.device_count())
 print("""NCCL version:""", torch.cuda.nccl.version())
except ImportError:
 print("""Torch version:""", None)

try:
 import deepspeed

 print("""DeepSpeed version:""", deepspeed.__version__)
except ImportError:
 print("""DeepSpeed version:""", None)

try:
 import tensorflow as tf

 print("""TensorFlow version:""", tf.__version__)
 print("""TF GPUs available:""", bool(tf.config.list_physical_devices("""GPU""")))
 print("""Number of TF GPUs available:""", len(tf.config.list_physical_devices("""GPU""")))
except ImportError:
 print("""TensorFlow version:""", None)



def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			)->						str:



    """simple docstring"""






    if isinstance(SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			):
        raise TypeError("'float' object cannot be interpreted as an integer"			)
    if isinstance(SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			):
        raise TypeError("'str' object cannot be interpreted as an integer"			)

    if num == 0:
        return "0b0"

    UpperCamelCase_			  =						False

    if num < 0:
        UpperCamelCase_			  =						True
        UpperCamelCase_			  =						-num

    UpperCamelCase_			  =						[]
    while num > 0:
        binary.insert(0			,						num % 2			)
        num >>= 1

    if negative:
        return "-0b" + "".join(str(SCREAMING_SNAKE_CASE_			) for e in binary			)

    return "0b" + "".join(str(SCREAMING_SNAKE_CASE_			) for e in binary			)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
