"""simple docstring"""





import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class 	UpperCAmelCase_      (       lowerCAmelCase_					,				unittest.TestCase):
      lowerCamelCase__						:       Dict					    =    MgpstrTokenizer
      lowerCamelCase__						:       Any					    =    False
      lowerCamelCase__						:       str					    =    {}
      lowerCamelCase__						:       Dict					    =    False


      def 						_UpperCAmelCase			(  self				)			->   str:
             super().setUp()

             # fmt: off
             lowercase__     :						Dict         =      ['[GO]', '[s]', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']
             # fmt: on
             lowercase__     :						List[str]         =      dict(zip(__lowerCAmelCase						,     range(len(__lowerCAmelCase				)				)				)				)

             lowercase__     :						Tuple         =      os.path.join(self.tmpdirname						,     VOCAB_FILES_NAMES['vocab_file']				)
             with open(self.vocab_file						,     'w'						,     encoding='utf-8'				) as fp:
                    fp.write(json.dumps(__lowerCAmelCase				) + '\n'				)


      def 						_UpperCAmelCase			(  self						,     **a				)			->   Tuple:
             return MgpstrTokenizer.from_pretrained(self.tmpdirname						,     **__lowerCAmelCase				)


      def 						_UpperCAmelCase			(  self						,     a				)			->   Optional[Any]:
             lowercase__     :						Any         =      'tester'
             lowercase__     :						Dict         =      'tester'
             return input_text, output_text


      @unittest.skip('MGP-STR always lower cases letters.'				)
      def 						_UpperCAmelCase			(  self				)			->   int:
             pass


      def 						_UpperCAmelCase			(  self				)			->   Any:
             lowercase__     :						List[Any]         =      self.get_tokenizers(do_lower_case=__lowerCAmelCase				)
             for tokenizer in tokenizers:
                    with self.subTest(f"""{tokenizer.__class__.__name__}"""				):
                           lowercase__     :						str         =      '[SPECIAL_TOKEN]'

                           tokenizer.add_special_tokens({'cls_token': special_token}				)
                           lowercase__     :						int         =      tokenizer.encode([special_token]						,     add_special_tokens=__lowerCAmelCase				)
                           self.assertEqual(len(__lowerCAmelCase				)						,     1				)

                           lowercase__     :						Any         =      tokenizer.decode(__lowerCAmelCase						,     skip_special_tokens=__lowerCAmelCase				)
                           self.assertTrue(special_token not in decoded				)


      def 						_UpperCAmelCase			(  self				)			->   Optional[Any]:
             lowercase__     :						Optional[Any]         =      self.get_tokenizers()
             for tokenizer in tokenizers:
                    with self.subTest(f"""{tokenizer.__class__.__name__}"""				):
                           lowercase__       , lowercase__     :						Dict         =      self.get_input_output_texts(__lowerCAmelCase				)

                           lowercase__     :						Tuple         =      tokenizer.tokenize(__lowerCAmelCase				)
                           lowercase__     :						List[Any]         =      tokenizer.convert_tokens_to_ids(__lowerCAmelCase				)
                           lowercase__     :						Dict         =      tokenizer.encode(__lowerCAmelCase						,     add_special_tokens=__lowerCAmelCase				)
                           self.assertListEqual(__lowerCAmelCase						,     __lowerCAmelCase				)

                           lowercase__     :						Optional[Any]         =      tokenizer.convert_ids_to_tokens(__lowerCAmelCase				)
                           self.assertNotEqual(len(__lowerCAmelCase				)						,     0				)
                           lowercase__     :						str         =      tokenizer.decode(__lowerCAmelCase				)
                           self.assertIsInstance(__lowerCAmelCase						,     __lowerCAmelCase				)

                           self.assertEqual(text_a.replace(' '						,     ''				)						,     __lowerCAmelCase				)


      @unittest.skip('MGP-STR tokenizer only handles one sequence.'				)
      def 						_UpperCAmelCase			(  self				)			->   Union[str, Any]:
             pass


      @unittest.skip('inputs cannot be pretokenized in MgpstrTokenizer'				)
      def 						_UpperCAmelCase			(  self				)			->   List[Any]:
             pass


"""simple docstring"""


from collections import OrderedDict
from typing import List, Mapping

from packaging import version

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


UpperCAmelCase__			=    logging.get_logger(__name__)

UpperCAmelCase__			=    {
    """google/efficientnet-b7""": """https://huggingface.co/google/efficientnet-b7/resolve/main/config.json""",
}


class 							a					(		lowerCAmelCase_ ):
    _snake_case  :	Tuple  				=				'efficientnet'


    def __init__(       self						:	int ,					__lowerCAmelCase						:	int = 3 ,					__lowerCAmelCase						:	int = 600 ,					__lowerCAmelCase						:	float = 2.0 ,					__lowerCAmelCase						:	float = 3.1 ,					__lowerCAmelCase						:	int = 8 ,					__lowerCAmelCase						:	List[int] = [3, 3, 5, 3, 5, 5, 3] ,					__lowerCAmelCase						:	List[int] = [32, 16, 24, 40, 80, 112, 192] ,					__lowerCAmelCase						:	List[int] = [16, 24, 40, 80, 112, 192, 320] ,					__lowerCAmelCase						:	List[int] = [] ,					__lowerCAmelCase						:	List[int] = [1, 2, 2, 2, 1, 2, 1] ,					__lowerCAmelCase						:	List[int] = [1, 2, 2, 3, 3, 4, 1] ,					__lowerCAmelCase						:	List[int] = [1, 6, 6, 6, 6, 6, 6] ,					__lowerCAmelCase						:	float = 0.25 ,					__lowerCAmelCase						:	str = "swish" ,					__lowerCAmelCase						:	int = 2560 ,					__lowerCAmelCase						:	str = "mean" ,					__lowerCAmelCase						:	float = 0.02 ,					__lowerCAmelCase						:	float = 0.001 ,					__lowerCAmelCase						:	float = 0.99 ,					__lowerCAmelCase						:	float = 0.5 ,					__lowerCAmelCase						:	float = 0.2 ,					**__lowerCAmelCase						:	Optional[Any] ,					):
      super().__init__(**__lowerCAmelCase       )

      _UpperCAmelCase    			=   num_channels
      _UpperCAmelCase    			=   image_size
      _UpperCAmelCase    			=   width_coefficient
      _UpperCAmelCase    			=   depth_coefficient
      _UpperCAmelCase    			=   depth_divisor
      _UpperCAmelCase    			=   kernel_sizes
      _UpperCAmelCase    			=   in_channels
      _UpperCAmelCase    			=   out_channels
      _UpperCAmelCase    			=   depthwise_padding
      _UpperCAmelCase    			=   strides
      _UpperCAmelCase    			=   num_block_repeats
      _UpperCAmelCase    			=   expand_ratios
      _UpperCAmelCase    			=   squeeze_expansion_ratio
      _UpperCAmelCase    			=   hidden_act
      _UpperCAmelCase    			=   hidden_dim
      _UpperCAmelCase    			=   pooling_type
      _UpperCAmelCase    			=   initializer_range
      _UpperCAmelCase    			=   batch_norm_eps
      _UpperCAmelCase    			=   batch_norm_momentum
      _UpperCAmelCase    			=   dropout_rate
      _UpperCAmelCase    			=   drop_connect_rate
      _UpperCAmelCase    			=   sum(__lowerCAmelCase       ) * 4



class 							a					(		lowerCAmelCase_ ):
    _snake_case  :	Union[str, Any]  				=				version.parse('1.11' )


    @property
    def   lowerCAmelCase_	(       self						:	Any       ):
      return OrderedDict(
          [
              ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
          ]       )


    @property
    def   lowerCAmelCase_	(       self						:	List[Any]       ):
      return 1e-5
