






import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links






def   UpperCamelCase  (       snake_case__     :   Tuple	,snake_case__     :   Tuple=7  ):




     '''simple docstring'''






     __snake_case			:Optional[Any]   =						None
     if token is not None:
          __snake_case			:Optional[int]   =						{"""Accept""": """application/vnd.github+json""", """Authorization""": f'''Bearer {token}'''}

     # The id of a workflow (not of a workflow run)
     __snake_case			:Optional[int]   =						"""636036"""

     __snake_case			:Tuple   =						f'''https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs'''
     # On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
     url += f'''?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}'''

     __snake_case			:Optional[int]   =						requests.get(__UpperCAmelCase	,headers=__UpperCAmelCase  ).json()

     return result["workflow_runs"]






def   UpperCamelCase  (       snake_case__     :   Tuple  ):




     '''simple docstring'''






     __snake_case			:Union[str, Any]   =						get_daily_ci_runs(__UpperCAmelCase  )
     __snake_case			:Optional[int]   =						None
     for workflow_run in workflow_runs:
          if workflow_run["status"] == "completed":
               __snake_case			:List[Any]   =						workflow_run["""id"""]
               break

     return workflow_run_id






def   UpperCamelCase  (       snake_case__     :   Any	,snake_case__     :   int	,snake_case__     :   Optional[Any]  ):




     '''simple docstring'''






     __snake_case			:str   =						get_last_daily_ci_runs(__UpperCAmelCase  )
     if workflow_run_id is not None:
          __snake_case			:Tuple   =						get_artifacts_links(worflow_run_id=__UpperCAmelCase	,token=__UpperCAmelCase  )
          for artifact_name in artifact_names:
               if artifact_name in artifacts_links:
                    __snake_case			:Optional[Any]   =						artifacts_links[artifact_name]
                    download_artifact(
                        artifact_name=__UpperCAmelCase	,artifact_url=__UpperCAmelCase	,output_dir=__UpperCAmelCase	,token=__UpperCAmelCase  )






def   UpperCamelCase  (       snake_case__     :   Optional[int]	,snake_case__     :   str	,snake_case__     :   List[Any]  ):




     '''simple docstring'''






     get_last_daily_ci_artifacts(__UpperCAmelCase	,__UpperCAmelCase	,__UpperCAmelCase  )

     __snake_case			:int   =						{}
     for artifact_name in artifact_names:
          __snake_case			:Any   =						os.path.join(__UpperCAmelCase	,f'''{artifact_name}.zip'''  )
          if os.path.isfile(__UpperCAmelCase  ):
               __snake_case			:Optional[Any]   =						{}
               with zipfile.ZipFile(__UpperCAmelCase  ) as z:
                    for filename in z.namelist():
                         if not os.path.isdir(__UpperCAmelCase  ):
                              # read the file
                              with z.open(__UpperCAmelCase  ) as f:
                                   __snake_case			:Tuple   =						f.read().decode("""UTF-8"""  )

     return results










import json
import os
import unittest

from transformers.models.gptsan_japanese.tokenization_gptsan_japanese import (
    VOCAB_FILES_NAMES,
    GPTSanJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 			snake_case__   (							lowercase_	,    unittest.TestCase):

       '''simple docstring'''
       lowerCamelCase							:				Optional[int] 				= GPTSanJapaneseTokenizer
       lowerCamelCase							:				Any 				= False
       lowerCamelCase							:				Optional[Any] 				= {"do_clean_text": False, "add_prefix_space": False}



       def 					__lowercase						(							self    ) ->      Any:






            '''simple docstring'''





            super().setUp()

            # fmt: off
            __snake_case			:str          =						["""こん""", """こんに""", """にちは""", """ばんは""", """世界,㔺界""", """、""", """。""", """<BR>""", """<SP>""", """<TAB>""", """<URL>""", """<EMAIL>""", """<TEL>""", """<DATE>""", """<PRICE>""", """<BLOCK>""", """<KIGOU>""", """<U2000U2BFF>""", """<|emoji1|>""", """<unk>""", """<|bagoftoken|>""", """<|endoftext|>"""]
            # fmt: on
            __snake_case			:Optional[Any]          =						{"""emoji""": {"""\ud83d\ude00""": """<|emoji1|>"""}, """emoji_inv""": {"""<|emoji1|>""": """\ud83d\ude00"""}}  # 😀
            __snake_case			:Optional[int]          =						{"""unk_token""": """<unk>"""}

            __snake_case			:Optional[Any]          =						os.path.join(self.tmpdirname			,						VOCAB_FILES_NAMES["""vocab_file"""]    )
            __snake_case			:List[str]          =						os.path.join(self.tmpdirname			,						VOCAB_FILES_NAMES["""emoji_file"""]    )
            with open(self.vocab_file			,						"""w"""			,						encoding="""utf-8"""    ) as vocab_writer:
                 vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]    )    )
            with open(self.emoji_file			,						"""w"""    ) as emoji_writer:
                 emoji_writer.write(json.dumps(a__    )    )



       def 					__lowercase						(							self			,						**a__    ) ->      Optional[Any]:






            '''simple docstring'''





            kwargs.update(self.special_tokens_map    )
            return GPTSanJapaneseTokenizer.from_pretrained(self.tmpdirname			,						**a__    )



       def 					__lowercase						(							self			,						a__    ) ->      List[str]:






            '''simple docstring'''





            __snake_case			:Tuple          =						"""こんにちは、世界。 \nこんばんは、㔺界。😀"""
            __snake_case			:Union[str, Any]          =						"""こんにちは、世界。 \nこんばんは、世界。😀"""
            return input_text, output_text



       def 					__lowercase						(							self			,						a__    ) ->      List[str]:






            '''simple docstring'''





            __snake_case       , __snake_case			:Dict          =						self.get_input_output_texts(a__    )
            __snake_case			:Dict          =						tokenizer.encode(a__			,						add_special_tokens=a__    )
            __snake_case			:int          =						tokenizer.decode(a__			,						clean_up_tokenization_spaces=a__    )
            return text, ids



       def 					__lowercase						(							self    ) ->      Optional[int]:






            '''simple docstring'''





            pass  # TODO add if relevant



       def 					__lowercase						(							self    ) ->      Optional[Any]:






            '''simple docstring'''





            pass  # TODO add if relevant



       def 					__lowercase						(							self    ) ->      Union[str, Any]:






            '''simple docstring'''





            pass  # TODO add if relevant



       def 					__lowercase						(							self    ) ->      str:






            '''simple docstring'''





            __snake_case			:Optional[int]          =						self.get_tokenizer()

            # Testing tokenization
            __snake_case			:int          =						"""こんにちは、世界。　こんばんは、㔺界。"""
            __snake_case			:Dict          =						["""こん""", """にちは""", """、""", """世界""", """。""", """<SP>""", """こん""", """ばんは""", """、""", """㔺界""", """。"""]
            __snake_case			:Optional[Any]          =						tokenizer.tokenize(a__    )
            self.assertListEqual(a__			,						a__    )

            # Testing conversion to ids without special tokens
            __snake_case			:List[str]          =						[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
            __snake_case			:Any          =						tokenizer.convert_tokens_to_ids(a__    )
            self.assertListEqual(a__			,						a__    )

            # Testing conversion to ids with special tokens
            __snake_case			:Tuple          =						tokens + [tokenizer.unk_token]
            __snake_case			:Optional[int]          =						[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
            __snake_case			:List[Any]          =						tokenizer.convert_tokens_to_ids(a__    )
            self.assertListEqual(a__			,						a__    )



       def 					__lowercase						(							self    ) ->      List[str]:






            '''simple docstring'''





            __snake_case			:Tuple          =						self.get_tokenizer()

            # Testing tokenization
            __snake_case			:Optional[Any]          =						"""こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。"""
            __snake_case			:Tuple          =						"""こんにちは、、、、世界。こんばんは、、、、世界。"""
            __snake_case			:str          =						tokenizer.encode(a__    )
            __snake_case			:Optional[int]          =						tokenizer.decode(a__    )
            self.assertEqual(a__			,						a__    )



       @slow
       def 					__lowercase						(							self    ) ->      List[Any]:






            '''simple docstring'''





            __snake_case			:List[str]          =						self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""    )

            # Testing tokenization
            __snake_case			:str          =						"""こんにちは、世界。"""
            __snake_case			:List[str]          =						"""こんばんは、㔺界。😀"""
            __snake_case			:Dict          =						"""こんにちは、世界。こんばんは、世界。😀"""
            __snake_case			:int          =						tokenizer.encode(prefix_text + input_text    )
            __snake_case			:Optional[Any]          =						tokenizer.encode(""""""			,						prefix_text=prefix_text + input_text    )
            __snake_case			:Any          =						tokenizer.encode(a__			,						prefix_text=a__    )
            __snake_case			:Optional[Any]          =						tokenizer.decode(a__    )
            __snake_case			:Optional[Any]          =						tokenizer.decode(a__    )
            __snake_case			:Optional[Any]          =						tokenizer.decode(a__    )
            self.assertEqual(a__			,						a__    )
            self.assertEqual(a__			,						a__    )
            self.assertEqual(a__			,						a__    )



       @slow
       def 					__lowercase						(							self    ) ->      Any:






            '''simple docstring'''





            __snake_case			:Optional[Any]          =						self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""    )

            # Testing tokenization
            __snake_case			:List[Any]          =						"""こんにちは、世界。"""
            __snake_case			:Dict          =						"""こんばんは、㔺界。😀"""

            __snake_case			:Optional[int]          =						len(tokenizer.encode(a__    )    ) - 2
            __snake_case			:Union[str, Any]          =						len(tokenizer.encode(a__    )    ) - 2

            __snake_case			:Union[str, Any]          =						[1] + [0] * (len_prefix + len_text + 1)
            __snake_case			:Optional[Any]          =						[1] * (len_prefix + len_text + 1) + [0]
            __snake_case			:Union[str, Any]          =						[1] + [1] * (len_prefix) + [0] * (len_text + 1)

            __snake_case			:int          =						tokenizer(prefix_text + input_text    ).token_type_ids
            __snake_case			:List[Any]          =						tokenizer(""""""			,						prefix_text=prefix_text + input_text    ).token_type_ids
            __snake_case			:int          =						tokenizer(a__			,						prefix_text=a__    ).token_type_ids
            self.assertListEqual(a__			,						a__    )
            self.assertListEqual(a__			,						a__    )
            self.assertListEqual(a__			,						a__    )



       @slow
       def 					__lowercase						(							self    ) ->      Optional[int]:






            '''simple docstring'''





            __snake_case			:Optional[Any]          =						self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""    )

            __snake_case			:Tuple          =						tokenizer.encode("""あンいワ"""    )
            __snake_case			:List[str]          =						tokenizer.encode(""""""			,						prefix_text="""あンいワ"""    )
            __snake_case			:int          =						tokenizer.encode("""いワ"""			,						prefix_text="""あン"""    )

            self.assertEqual(tokenizer.decode(a__    )			,						tokenizer.decode(a__    )    )
            self.assertEqual(tokenizer.decode(a__    )			,						tokenizer.decode(a__    )    )
            self.assertNotEqual(a__			,						a__    )
            self.assertNotEqual(a__			,						a__    )
            self.assertEqual(x_token_a[1]			,						x_token_a[-1]    )  # SEG token
            self.assertEqual(x_token_a[1]			,						x_token_a[3]    )  # SEG token



       @slow
       def 					__lowercase						(							self    ) ->      Union[str, Any]:






            '''simple docstring'''





            __snake_case			:List[str]          =						self.tokenizer_class.from_pretrained("""Tanrei/GPTSAN-japanese"""    )

            __snake_case			:int          =						[["""武田信玄""", """は、"""], ["""織田信長""", """の配下の、"""]]
            __snake_case			:Optional[int]          =						tokenizer(a__			,						padding=a__    )
            __snake_case			:int          =						tokenizer.batch_encode_plus(a__			,						padding=a__    )

            # fmt: off
            __snake_case			:Tuple          =						[[3_59_93, 86_40, 2_59_48, 3_59_98, 3_06_47, 3_56_75, 3_59_99, 3_59_99], [3_59_93, 1_03_82, 98_68, 3_59_98, 3_06_46, 94_59, 3_06_46, 3_56_75]]
            __snake_case			:Any          =						[[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
            __snake_case			:int          =						[[1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1]]
            # fmt: on
            self.assertListEqual(x_token.input_ids			,						a__    )
            self.assertListEqual(x_token.token_type_ids			,						a__    )
            self.assertListEqual(x_token.attention_mask			,						a__    )
            self.assertListEqual(x_token_a.input_ids			,						a__    )
            self.assertListEqual(x_token_a.token_type_ids			,						a__    )
            self.assertListEqual(x_token_a.attention_mask			,						a__    )



       def 					__lowercase						(							self    ) ->      List[str]:






            '''simple docstring'''





            pass



       def 					__lowercase						(							self    ) ->      Optional[int]:






            '''simple docstring'''





            pass


