


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE      :			Optional[int]      				=   logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE      :			Dict      				=   {
    "google/mobilenet_v1_1.0_224": "https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json",
    "google/mobilenet_v1_0.75_192": "https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json",
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}

class   A__ (   snake_case__     ):







    """simple docstring"""

    __magic_name__        =		'mobilenet_v1'
    def __init__(	self      , __snake_case=3      , __snake_case=2_2_4      , __snake_case=1.0      , __snake_case=8      , __snake_case="relu6"      , __snake_case=True      , __snake_case=0.999      , __snake_case=0.02      , __snake_case=0.001      , **__snake_case      , ):
         super().__init__(**__snake_case   )

         if depth_multiplier <= 0:
              raise ValueError('''depth_multiplier must be greater than zero.'''   )

         snake_case					=    num_channels
         snake_case					=    image_size
         snake_case					=    depth_multiplier
         snake_case					=    min_depth
         snake_case					=    hidden_act
         snake_case					=    tf_padding
         snake_case					=    classifier_dropout_prob
         snake_case					=    initializer_range
         snake_case					=    layer_norm_eps






class   A__ (   snake_case__     ):







    """simple docstring"""

    __magic_name__        =		version.parse('1.11'     )
    @property
    def 		a_      (	self   ):
         return OrderedDict([('''pixel_values''', {0: '''batch'''})]   )
    @property
    def 		a_      (	self   ):
         if self.task == "image-classification":
              return OrderedDict([('''logits''', {0: '''batch'''})]   )
         else:
              return OrderedDict([('''last_hidden_state''', {0: '''batch'''}), ('''pooler_output''', {0: '''batch'''})]   )




    @property
    def 		a_      (	self   ):
         return 1E-4








# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
_SCREAMING_SNAKE_CASE      :			Union[str, Any]      				=   abspath(join(dirname(dirname(dirname(__file__))), "src"))
sys.path.insert(1, git_repo_path)


# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action="ignore", category=FutureWarning)
def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     from transformers.testing_utils import pytest_addoption_shared

     pytest_addoption_shared(UpperCamelCase_    )

def       UpperCAmelCase__						(UpperCamelCase_    ):



     """simple docstring"""






     from transformers.testing_utils import pytest_terminal_summary_main

     snake_case					=    terminalreporter.config.getoption('''--make-reports'''    )
     if make_reports:
          pytest_terminal_summary_main(UpperCamelCase_							,id=UpperCamelCase_    )




