

"""simple docstring"""






import hashlib
import unittest
from typing import Dict

import numpy as np

from transformers import (
    MODEL_FOR_MASK_GENERATION_MAPPING,
    TF_MODEL_FOR_MASK_GENERATION_MAPPING,
    is_vision_available,
    pipeline,
)
from transformers.pipelines import MaskGenerationPipeline
from transformers.testing_utils import (
    is_pipeline_test,
    nested_simplify,
    require_tf,
    require_torch,
    require_vision,
    slow,
)


if is_vision_available():
						from PIL import Image
else:






						class 			_UpperCAmelCase	:
									@staticmethod
									def 							__snake_case       (						*_A					,						**_A   )			->			int:






										'''simple docstring'''







										pass
def 					UpperCamelCase    (	_lowerCAmelCase   :  Optional[Any]       ) ->	str:
	_UpperCAmelCase			:							str	  =    hashlib.mda(image.tobytes()       )
	return m.hexdigest()[:10]
def 					UpperCamelCase    (	_lowerCAmelCase   :  Optional[int]       ) ->	Dict:
	_UpperCAmelCase			:							Optional[Any]	  =    np.array(_SCREAMING_SNAKE_CASE       )
	_UpperCAmelCase			:							Tuple	  =    npimg.shape
	return {"hash": hashimage(_SCREAMING_SNAKE_CASE       ), "shape": shape}






@is_pipeline_test
@require_vision
@require_torch
class 			_UpperCAmelCase	(						unittest.TestCase):
			__a       :				Dict     =							dict(
			    (list(MODEL_FOR_MASK_GENERATION_MAPPING.items()) if MODEL_FOR_MASK_GENERATION_MAPPING else []))
			__a       :				Optional[Any]     =							dict(
			    (list(TF_MODEL_FOR_MASK_GENERATION_MAPPING.items()) if TF_MODEL_FOR_MASK_GENERATION_MAPPING else []))
			def 							__snake_case       (						self					,						_A					,						_A					,						_A   )			->			List[str]:






				'''simple docstring'''







				_UpperCAmelCase			:							int	  =    MaskGenerationPipeline(model=__UpperCAmelCase					,						image_processor=__UpperCAmelCase   )
				return image_segmenter, [
				    "./tests/fixtures/tests_samples/COCO/000000039769.png",
				    "./tests/fixtures/tests_samples/COCO/000000039769.png",
				]
			def 							__snake_case       (						self					,						_A					,						_A   )			->			Union[str, Any]:






				'''simple docstring'''







				pass
			@require_tf
			@unittest.skip("""Image segmentation not implemented in TF"""   )
			def 							__snake_case       (						self   )			->			Dict:






				'''simple docstring'''







				pass
			@slow
			@require_torch
			def 							__snake_case       (						self   )			->			Optional[Any]:






				'''simple docstring'''







				_UpperCAmelCase			:							List[str]	  =    pipeline("""mask-generation"""					,						model="""facebook/sam-vit-huge"""   )

				_UpperCAmelCase			:							List[Any]	  =    image_segmenter("""http://images.cocodataset.org/val2017/000000039769.jpg"""					,						points_per_batch=2_56   )

				# Shortening by hashing
				_UpperCAmelCase			:							Any	  =    []
				for i, o in enumerate(outputs["""masks"""]   ):
					new_outupt += [{"mask": mask_to_test_readable(__UpperCAmelCase   ), "scores": outputs["scores"][i]}]

				# fmt: off
				self.assertEqual(
				    nested_simplify(__UpperCAmelCase					,						decimals=4   )					,						[
				        {"""mask""": {"""hash""": """115ad19f5f""", """shape""": (4_80, 6_40)}, """scores""": 1.0444},
				        {"""mask""": {"""hash""": """6affa964c6""", """shape""": (4_80, 6_40)}, """scores""": 1.021},
				        {"""mask""": {"""hash""": """dfe28a0388""", """shape""": (4_80, 6_40)}, """scores""": 1.0167},
				        {"""mask""": {"""hash""": """c0a5f4a318""", """shape""": (4_80, 6_40)}, """scores""": 1.0132},
				        {"""mask""": {"""hash""": """fe8065c197""", """shape""": (4_80, 6_40)}, """scores""": 1.0053},
				        {"""mask""": {"""hash""": """e2d0b7a0b7""", """shape""": (4_80, 6_40)}, """scores""": 0.9967},
				        {"""mask""": {"""hash""": """453c7844bd""", """shape""": (4_80, 6_40)}, """scores""": 0.993},
				        {"""mask""": {"""hash""": """3d44f2926d""", """shape""": (4_80, 6_40)}, """scores""": 0.9909},
				        {"""mask""": {"""hash""": """64033ddc3f""", """shape""": (4_80, 6_40)}, """scores""": 0.9879},
				        {"""mask""": {"""hash""": """801064ff79""", """shape""": (4_80, 6_40)}, """scores""": 0.9834},
				        {"""mask""": {"""hash""": """6172f276ef""", """shape""": (4_80, 6_40)}, """scores""": 0.9716},
				        {"""mask""": {"""hash""": """b49e60e084""", """shape""": (4_80, 6_40)}, """scores""": 0.9612},
				        {"""mask""": {"""hash""": """a811e775fd""", """shape""": (4_80, 6_40)}, """scores""": 0.9599},
				        {"""mask""": {"""hash""": """a6a8ebcf4b""", """shape""": (4_80, 6_40)}, """scores""": 0.9552},
				        {"""mask""": {"""hash""": """9d8257e080""", """shape""": (4_80, 6_40)}, """scores""": 0.9532},
				        {"""mask""": {"""hash""": """32de6454a8""", """shape""": (4_80, 6_40)}, """scores""": 0.9516},
				        {"""mask""": {"""hash""": """af3d4af2c8""", """shape""": (4_80, 6_40)}, """scores""": 0.9499},
				        {"""mask""": {"""hash""": """3c6db475fb""", """shape""": (4_80, 6_40)}, """scores""": 0.9483},
				        {"""mask""": {"""hash""": """c290813fb9""", """shape""": (4_80, 6_40)}, """scores""": 0.9464},
				        {"""mask""": {"""hash""": """b6f0b8f606""", """shape""": (4_80, 6_40)}, """scores""": 0.943},
				        {"""mask""": {"""hash""": """92ce16bfdf""", """shape""": (4_80, 6_40)}, """scores""": 0.943},
				        {"""mask""": {"""hash""": """c749b25868""", """shape""": (4_80, 6_40)}, """scores""": 0.9408},
				        {"""mask""": {"""hash""": """efb6cab859""", """shape""": (4_80, 6_40)}, """scores""": 0.9335},
				        {"""mask""": {"""hash""": """1ff2eafb30""", """shape""": (4_80, 6_40)}, """scores""": 0.9326},
				        {"""mask""": {"""hash""": """788b798e24""", """shape""": (4_80, 6_40)}, """scores""": 0.9262},
				        {"""mask""": {"""hash""": """abea804f0e""", """shape""": (4_80, 6_40)}, """scores""": 0.8999},
				        {"""mask""": {"""hash""": """7b9e8ddb73""", """shape""": (4_80, 6_40)}, """scores""": 0.8986},
				        {"""mask""": {"""hash""": """cd24047c8a""", """shape""": (4_80, 6_40)}, """scores""": 0.8984},
				        {"""mask""": {"""hash""": """6943e6bcbd""", """shape""": (4_80, 6_40)}, """scores""": 0.8873},
				        {"""mask""": {"""hash""": """b5f47c9191""", """shape""": (4_80, 6_40)}, """scores""": 0.8871}
				    ]					,						)
				# fmt: on
			@require_torch
			@slow
			def 							__snake_case       (						self   )			->			int:






				'''simple docstring'''







				_UpperCAmelCase			:							int	  =    'facebook/sam-vit-huge'
				_UpperCAmelCase			:							str	  =    pipeline("""mask-generation"""					,						model=__UpperCAmelCase   )

				_UpperCAmelCase			:							List[str]	  =    image_segmenter(
				    """http://images.cocodataset.org/val2017/000000039769.jpg"""					,						pred_iou_thresh=1					,						points_per_batch=2_56   )

				# Shortening by hashing
				_UpperCAmelCase			:							Optional[Any]	  =    []
				for i, o in enumerate(outputs["""masks"""]   ):
					new_outupt += [{"mask": mask_to_test_readable(__UpperCAmelCase   ), "scores": outputs["scores"][i]}]

				self.assertEqual(
				    nested_simplify(__UpperCAmelCase					,						decimals=4   )					,						[
				        {"""mask""": {"""hash""": """115ad19f5f""", """shape""": (4_80, 6_40)}, """scores""": 1.0444},
				        {"""mask""": {"""hash""": """6affa964c6""", """shape""": (4_80, 6_40)}, """scores""": 1.0210},
				        {"""mask""": {"""hash""": """dfe28a0388""", """shape""": (4_80, 6_40)}, """scores""": 1.0167},
				        {"""mask""": {"""hash""": """c0a5f4a318""", """shape""": (4_80, 6_40)}, """scores""": 1.0132},
				        {"""mask""": {"""hash""": """fe8065c197""", """shape""": (4_80, 6_40)}, """scores""": 1.0053},
				    ]					,						)












"""simple docstring"""





import logging
import os
from typing import List, TextIO, Union

from conllu import parse_incr
from utils_ner import InputExample, Split, TokenClassificationTask


__A											=		logging.getLogger(__name__)






class 					_lowerCAmelCase   (     a       ):
       """simple docstring"""




       def __init__(    self    , __UpperCAmelCase=-1      ):



         '''simple docstring'''

         lowerCAmelCase__			:Dict											=							label_idx






       def      snake_case						(    self    , __UpperCAmelCase    , __UpperCAmelCase      ):



         '''simple docstring'''

         if isinstance(__UpperCAmelCase    , __UpperCAmelCase      ):
           lowerCAmelCase__			:Optional[Any]											=							mode.value
         lowerCAmelCase__			:List[str]											=							os.path.join(__UpperCAmelCase    , F"{mode}.txt"      )
         lowerCAmelCase__			:List[str]											=							1
         lowerCAmelCase__			:Union[str, Any]											=							[]
         with open(__UpperCAmelCase    , encoding='utf-8'      ) as f:
           lowerCAmelCase__			:str											=							[]
           lowerCAmelCase__			:Dict											=							[]
           for line in f:
             if line.startswith('-DOCSTART-'      ) or line == "" or line == "\n":
               if words:
                 examples.append(InputExample(guid=F"{mode}-{guid_index}"    , words=__UpperCAmelCase    , labels=__UpperCAmelCase      )      )
                 guid_index += 1
                 lowerCAmelCase__			:Tuple											=							[]
                 lowerCAmelCase__			:List[str]											=							[]
             else:
               lowerCAmelCase__			:List[str]											=							line.split(' '      )
               words.append(splits[0]      )
               if len(__UpperCAmelCase      ) > 1:
                 labels.append(splits[self.label_idx].replace('\n'    , ''      )      )
               else:
                 # Examples could have no label for mode = "test"
                 labels.append('O'      )
           if words:
             examples.append(InputExample(guid=F"{mode}-{guid_index}"    , words=__UpperCAmelCase    , labels=__UpperCAmelCase      )      )
         return examples






       def      snake_case						(    self    , __UpperCAmelCase    , __UpperCAmelCase    , __UpperCAmelCase      ):



         '''simple docstring'''

         lowerCAmelCase__			:Optional[int]											=							0
         for line in test_input_reader:
           if line.startswith('-DOCSTART-'      ) or line == "" or line == "\n":
             writer.write(__UpperCAmelCase      )
             if not preds_list[example_id]:
               example_id += 1
           elif preds_list[example_id]:
             lowerCAmelCase__			:Optional[Any]											=							line.split()[0] + ' ' + preds_list[example_id].pop(0      ) + '\n'
             writer.write(__UpperCAmelCase      )
           else:
             logger.warning('Maximum sequence length exceeded: No prediction for \'%s\'.'    , line.split()[0]      )






       def      snake_case						(    self    , __UpperCAmelCase      ):



         '''simple docstring'''

         if path:
           with open(__UpperCAmelCase    , 'r'      ) as f:
             lowerCAmelCase__			:Any											=							f.read().splitlines()
           if "O" not in labels:
             lowerCAmelCase__			:Union[str, Any]											=							['O'] + labels
           return labels
         else:
           return ["O", "B-MISC", "I-MISC", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]






class 					_lowerCAmelCase   (     a       ):
       """simple docstring"""




       def __init__(    self      ):



         '''simple docstring'''

         super().__init__(label_idx=-2      )






       def      snake_case						(    self    , __UpperCAmelCase      ):



         '''simple docstring'''

         if path:
           with open(__UpperCAmelCase    , 'r'      ) as f:
             lowerCAmelCase__			:str											=							f.read().splitlines()
           if "O" not in labels:
             lowerCAmelCase__			:Optional[Any]											=							['O'] + labels
           return labels
         else:
           return [
               "O",
               "B-ADVP",
               "B-INTJ",
               "B-LST",
               "B-PRT",
               "B-NP",
               "B-SBAR",
               "B-VP",
               "B-ADJP",
               "B-CONJP",
               "B-PP",
               "I-ADVP",
               "I-INTJ",
               "I-LST",
               "I-PRT",
               "I-NP",
               "I-SBAR",
               "I-VP",
               "I-ADJP",
               "I-CONJP",
               "I-PP",
           ]






class 					_lowerCAmelCase   (     a       ):
       """simple docstring"""




       def      snake_case						(    self    , __UpperCAmelCase    , __UpperCAmelCase      ):



         '''simple docstring'''

         if isinstance(__UpperCAmelCase    , __UpperCAmelCase      ):
           lowerCAmelCase__			:Union[str, Any]											=							mode.value
         lowerCAmelCase__			:Union[str, Any]											=							os.path.join(__UpperCAmelCase    , F"{mode}.txt"      )
         lowerCAmelCase__			:Any											=							1
         lowerCAmelCase__			:Optional[Any]											=							[]

         with open(__UpperCAmelCase    , encoding='utf-8'      ) as f:
           for sentence in parse_incr(__UpperCAmelCase      ):
             lowerCAmelCase__			:Dict											=							[]
             lowerCAmelCase__			:Dict											=							[]
             for token in sentence:
               words.append(token['form']      )
               labels.append(token['upos']      )
             assert len(__UpperCAmelCase      ) == len(__UpperCAmelCase      )
             if words:
               examples.append(InputExample(guid=F"{mode}-{guid_index}"    , words=__UpperCAmelCase    , labels=__UpperCAmelCase      )      )
               guid_index += 1
         return examples






       def      snake_case						(    self    , __UpperCAmelCase    , __UpperCAmelCase    , __UpperCAmelCase      ):



         '''simple docstring'''

         lowerCAmelCase__			:Any											=							0
         for sentence in parse_incr(__UpperCAmelCase      ):
           lowerCAmelCase__			:Optional[int]											=							preds_list[example_id]
           lowerCAmelCase__			:Tuple											=							''
           for token in sentence:
             out += F"{token['form']} ({token['upos']}|{s_p.pop(0      )}) "
           out += "\n"
           writer.write(__UpperCAmelCase      )
           example_id += 1






       def      snake_case						(    self    , __UpperCAmelCase      ):



         '''simple docstring'''

         if path:
           with open(__UpperCAmelCase    , 'r'      ) as f:
             return f.read().splitlines()
         else:
           return [
               "ADJ",
               "ADP",
               "ADV",
               "AUX",
               "CCONJ",
               "DET",
               "INTJ",
               "NOUN",
               "NUM",
               "PART",
               "PRON",
               "PROPN",
               "PUNCT",
               "SCONJ",
               "SYM",
               "VERB",
               "X",
           ]
