"""simple docstring"""


import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 				UpperCamelCase      (       UpperCamelCase__					,	unittest.TestCase     ):
       SCREAMING_SNAKE_CASE_				=   HerbertTokenizer
       SCREAMING_SNAKE_CASE_				=   HerbertTokenizerFast
       SCREAMING_SNAKE_CASE_				=   True







       def 	a_		(				self)   ->   List[str]:
            super().setUp()

            # Use a simpler test file without japanese/chinese characters
            with open(f'{get_tests_dir()}/fixtures/sample_text_no_unicode.txt',							encoding='utf-8') as f_data:
                 snake_case_       =      f_data.read().replace('\n\n',							'\n').strip()

            snake_case_       =      [
                '''<s>''',
                '''</s>''',
                '''l''',
                '''o''',
                '''w''',
                '''e''',
                '''r''',
                '''s''',
                '''t''',
                '''i''',
                '''d''',
                '''n''',
                '''w</w>''',
                '''r</w>''',
                '''t</w>''',
                '''lo''',
                '''low''',
                '''er</w>''',
                '''low</w>''',
                '''lowest</w>''',
                '''newer</w>''',
                '''wider</w>''',
                ''',</w>''',
                '''<unk>''',
            ]
            snake_case_       =      dict(zip(snake_case_,							range(len(snake_case_))))
            snake_case_       =      ['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

            snake_case_       =      os.path.join(self.tmpdirname,							VOCAB_FILES_NAMES['vocab_file'])
            snake_case_       =      os.path.join(self.tmpdirname,							VOCAB_FILES_NAMES['merges_file'])
            with open(self.vocab_file,							'w') as fp:
                 fp.write(json.dumps(snake_case_))
            with open(self.merges_file,							'w') as fp:
                 fp.write('\n'.join(snake_case_))







       def 	a_		(				self,							lowerCAmelCase__)   ->   Tuple:
            snake_case_       =      '''lower newer'''
            snake_case_       =      '''lower newer'''
            return input_text, output_text







       def 	a_		(				self)   ->   List[Any]:
            snake_case_       =      self.tokenizer_class(vocab_file=self.vocab_file,							merges_file=self.merges_file)

            snake_case_       =      '''lower'''
            snake_case_       =      ['''low''', '''er</w>''']
            snake_case_       =      tokenizer.tokenize(snake_case_)
            self.assertListEqual(snake_case_,							snake_case_)

            snake_case_       =      tokens + ['''<unk>''']
            snake_case_       =      [16, 17, 23]
            self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_),							snake_case_)







       def 	a_		(				self)   ->   Optional[int]:
            if not self.test_rust_tokenizer:
                 return

            snake_case_       =      self.get_tokenizer()
            snake_case_       =      self.get_rust_tokenizer()

            snake_case_       =      '''lower,newer'''

            snake_case_       =      tokenizer.tokenize(snake_case_)
            snake_case_       =      rust_tokenizer.tokenize(snake_case_)
            self.assertListEqual(snake_case_,							snake_case_)

            snake_case_       =      tokenizer.encode(snake_case_,							add_special_tokens=snake_case_)
            snake_case_       =      rust_tokenizer.encode(snake_case_,							add_special_tokens=snake_case_)
            self.assertListEqual(snake_case_,							snake_case_)

            snake_case_       =      self.get_rust_tokenizer()
            snake_case_       =      tokenizer.encode(snake_case_)
            snake_case_       =      rust_tokenizer.encode(snake_case_)
            self.assertListEqual(snake_case_,							snake_case_)







       @slow
       def 	a_		(				self)   ->   int:
            snake_case_       =      self.tokenizer_class.from_pretrained('allegro/herbert-base-cased')

            snake_case_       =      tokenizer.encode('konstruowanie sekwencji',							add_special_tokens=snake_case_)
            snake_case_       =      tokenizer.encode('konstruowanie wielu sekwencji',							add_special_tokens=snake_case_)

            snake_case_       =      tokenizer.build_inputs_with_special_tokens(snake_case_)
            snake_case_       =      tokenizer.build_inputs_with_special_tokens(snake_case_,							snake_case_)

            assert encoded_sentence == [0] + text + [2]
            assert encoded_pair == [0] + text + [2] + text_a + [2]


"""simple docstring"""


import copy

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


__UpperCamelCase								=    logging.get_logger(__name__)

__UpperCamelCase								=    {
    '''facebook/sam-vit-huge''': '''https://huggingface.co/facebook/sam-vit-huge/resolve/main/config.json''',
    '''facebook/sam-vit-large''': '''https://huggingface.co/facebook/sam-vit-large/resolve/main/config.json''',
    '''facebook/sam-vit-base''': '''https://huggingface.co/facebook/sam-vit-base/resolve/main/config.json''',
}




class 				UpperCamelCase      (       lowerCAmelCase__     ):







       def __init__(				self,							lowerCAmelCase__=256,							lowerCAmelCase__=1024,							lowerCAmelCase__=16,							lowerCAmelCase__=16,							lowerCAmelCase__=4,							lowerCAmelCase__="gelu",							lowerCAmelCase__=1e-6,							**lowerCAmelCase__,							)   ->   int:
            super().__init__(**lowerCAmelCase__)
            snake_case_       =      hidden_size
            snake_case_       =      image_size
            snake_case_       =      patch_size
            snake_case_       =      image_size // patch_size
            snake_case_       =      mask_input_channels
            snake_case_       =      num_point_embeddings
            snake_case_       =      hidden_act
            snake_case_       =      layer_norm_eps




class 				UpperCamelCase      (       lowerCAmelCase__     ):







       def __init__(				self,							lowerCAmelCase__=256,							lowerCAmelCase__="relu",							lowerCAmelCase__=2048,							lowerCAmelCase__=2,							lowerCAmelCase__=8,							lowerCAmelCase__=2,							lowerCAmelCase__=3,							lowerCAmelCase__=3,							lowerCAmelCase__=256,							lowerCAmelCase__=1e-6,							**lowerCAmelCase__,							)   ->   List[str]:
            super().__init__(**lowerCAmelCase__)
            snake_case_       =      hidden_size
            snake_case_       =      hidden_act
            snake_case_       =      mlp_dim
            snake_case_       =      num_hidden_layers
            snake_case_       =      num_attention_heads
            snake_case_       =      attention_downsample_rate
            snake_case_       =      num_multimask_outputs
            snake_case_       =      iou_head_depth
            snake_case_       =      iou_head_hidden_dim
            snake_case_       =      layer_norm_eps




class 				UpperCamelCase      (       lowerCAmelCase__     ):







       def __init__(				self,							lowerCAmelCase__=768,							lowerCAmelCase__=256,							lowerCAmelCase__=12,							lowerCAmelCase__=12,							lowerCAmelCase__=3,							lowerCAmelCase__=1024,							lowerCAmelCase__=16,							lowerCAmelCase__="gelu",							lowerCAmelCase__=1e-06,							lowerCAmelCase__=0.0,							lowerCAmelCase__=1e-10,							lowerCAmelCase__=True,							lowerCAmelCase__=4.0,							lowerCAmelCase__=True,							lowerCAmelCase__=True,							lowerCAmelCase__=14,							lowerCAmelCase__=[2, 5, 8, 11],							lowerCAmelCase__=128,							lowerCAmelCase__=None,							**lowerCAmelCase__,							)   ->   List[str]:
            super().__init__(**lowerCAmelCase__)

            snake_case_       =      hidden_size
            snake_case_       =      output_channels
            snake_case_       =      num_hidden_layers
            snake_case_       =      num_attention_heads
            snake_case_       =      num_channels
            snake_case_       =      image_size
            snake_case_       =      patch_size
            snake_case_       =      hidden_act
            snake_case_       =      layer_norm_eps
            snake_case_       =      attention_dropout
            snake_case_       =      initializer_range
            snake_case_       =      qkv_bias
            snake_case_       =      mlp_ratio
            snake_case_       =      use_abs_pos
            snake_case_       =      use_rel_pos
            snake_case_       =      window_size
            snake_case_       =      global_attn_indexes
            snake_case_       =      num_pos_feats
            snake_case_       =      int(hidden_size * mlp_ratio) if mlp_dim is None else mlp_dim




class 				UpperCamelCase      (       lowerCAmelCase__     ):
       SCREAMING_SNAKE_CASE_				=   "sam"
       SCREAMING_SNAKE_CASE_				=   True







       def __init__(				self,							lowerCAmelCase__=None,							lowerCAmelCase__=None,							lowerCAmelCase__=None,							lowerCAmelCase__=0.02,							**lowerCAmelCase__,							)   ->   Any:
            super().__init__(**lowerCAmelCase__)
            snake_case_       =      vision_config if vision_config is not None else {}
            snake_case_       =      prompt_encoder_config if prompt_encoder_config is not None else {}
            snake_case_       =      mask_decoder_config if mask_decoder_config is not None else {}

            if isinstance(lowerCAmelCase__,							lowerCAmelCase__):
                 snake_case_       =      vision_config.to_dict()
            if isinstance(lowerCAmelCase__,							lowerCAmelCase__):
                 snake_case_       =      prompt_encoder_config.to_dict()
            if isinstance(lowerCAmelCase__,							lowerCAmelCase__):
                 snake_case_       =      mask_decoder_config.to_dict()

            snake_case_       =      SamVisionConfig(**lowerCAmelCase__)
            snake_case_       =      SamPromptEncoderConfig(**lowerCAmelCase__)
            snake_case_       =      SamMaskDecoderConfig(**lowerCAmelCase__)
            snake_case_       =      initializer_range







       def 	a_		(				self)   ->   Dict:
            snake_case_       =      copy.deepcopy(self.__dict__)
            snake_case_       =      self.vision_config.to_dict()
            snake_case_       =      self.prompt_encoder_config.to_dict()
            snake_case_       =      self.mask_decoder_config.to_dict()
            snake_case_       =      self.__class__.model_type
            return output

