





import json
import os
import unittest

from transformers import AutoTokenizer, GPTaTokenizer, GPTaTokenizerFast
from transformers.models.gpta.tokenization_gpta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 					_lowerCamelCase			(     _a			, unittest.TestCase     ):



      """simple docstring"""






      UpperCAmelCase_    :   int      =GPTaTokenizer
      UpperCAmelCase_    :   Optional[int]      =GPTaTokenizerFast
      UpperCAmelCase_    :   Dict      =True
      UpperCAmelCase_    :   Optional[int]      ={"add_prefix_space": True}
      UpperCAmelCase_    :   List[str]      =False







      def     UpperCAmelCase		(			self )							-> List[Any]:






        '''simple docstring'''






        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        __snake_case :					str          =							[
            "l",
            "o",
            "w",
            "e",
            "r",
            "s",
            "t",
            "i",
            "d",
            "n",
            "\u0120",
            "\u0120l",
            "\u0120n",
            "\u0120lo",
            "\u0120low",
            "er",
            "\u0120lowest",
            "\u0120newer",
            "\u0120wider",
            "<unk>",
            "<|endoftext|>",
        ]
        __snake_case :					List[Any]          =							dict(zip(lowerCAmelCase_					,    range(len(lowerCAmelCase_ ) ) ) )
        __snake_case :					int          =							["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
        __snake_case :					Optional[Any]          =							{"unk_token": "<unk>"}

        __snake_case :					List[str]          =							os.path.join(self.tmpdirname					,    VOCAB_FILES_NAMES["vocab_file"] )
        __snake_case :					int          =							os.path.join(self.tmpdirname					,    VOCAB_FILES_NAMES["merges_file"] )
        with open(self.vocab_file					,    "w"					,    encoding="utf-8" ) as fp:
          fp.write(json.dumps(lowerCAmelCase_ ) + "\n" )
        with open(self.merges_file					,    "w"					,    encoding="utf-8" ) as fp:
          fp.write("\n".join(lowerCAmelCase_ ) )







      def     UpperCAmelCase		(			self					,    **UpperCAmelCase )							-> List[str]:






        '''simple docstring'''






        kwargs.update(self.special_tokens_map )
        return GPTaTokenizer.from_pretrained(self.tmpdirname					,    **lowerCAmelCase_ )







      def     UpperCAmelCase		(			self					,    **UpperCAmelCase )							-> List[Any]:






        '''simple docstring'''






        kwargs.update(self.special_tokens_map )
        return GPTaTokenizerFast.from_pretrained(self.tmpdirname					,    **lowerCAmelCase_ )







      def     UpperCAmelCase		(			self					,    UpperCAmelCase )							-> Optional[int]:






        '''simple docstring'''






        __snake_case :					List[Any]          =							"lower newer"
        __snake_case :					Optional[Any]          =							"lower newer"
        return input_text, output_text







      def     UpperCAmelCase		(			self )							-> Dict:






        '''simple docstring'''






        __snake_case :					Optional[Any]          =							GPTaTokenizer(self.vocab_file					,    self.merges_file					,    **self.special_tokens_map )
        __snake_case :					Optional[Any]          =							"lower newer"
        __snake_case :					Dict          =							["\u0120low", "er", "\u0120", "n", "e", "w", "er"]
        __snake_case :					Union[str, Any]          =							tokenizer.tokenize(lowerCAmelCase_					,    add_prefix_space=lowerCAmelCase_ )
        self.assertListEqual(lowerCAmelCase_					,    lowerCAmelCase_ )

        __snake_case :					List[str]          =							tokens + [tokenizer.unk_token]
        __snake_case :					Optional[int]          =							[14, 15, 10, 9, 3, 2, 15, 19]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_ )					,    lowerCAmelCase_ )







      def     UpperCAmelCase		(			self )							-> int:






        '''simple docstring'''






        if not self.test_rust_tokenizer:
          return

        __snake_case :					List[str]          =							self.get_tokenizer()
        __snake_case :					List[str]          =							self.get_rust_tokenizer(add_prefix_space=lowerCAmelCase_ )

        __snake_case :					Optional[int]          =							"lower newer"

        # Testing tokenization
        __snake_case :					Dict          =							tokenizer.tokenize(lowerCAmelCase_					,    add_prefix_space=lowerCAmelCase_ )
        __snake_case :					Dict          =							rust_tokenizer.tokenize(lowerCAmelCase_ )
        self.assertListEqual(lowerCAmelCase_					,    lowerCAmelCase_ )

        # Testing conversion to ids without special tokens
        __snake_case :					Optional[Any]          =							tokenizer.encode(lowerCAmelCase_					,    add_special_tokens=lowerCAmelCase_					,    add_prefix_space=lowerCAmelCase_ )
        __snake_case :					Dict          =							rust_tokenizer.encode(lowerCAmelCase_					,    add_special_tokens=lowerCAmelCase_ )
        self.assertListEqual(lowerCAmelCase_					,    lowerCAmelCase_ )

        # Testing conversion to ids with special tokens
        __snake_case :					Tuple          =							self.get_rust_tokenizer(add_prefix_space=lowerCAmelCase_ )
        __snake_case :					Any          =							tokenizer.encode(lowerCAmelCase_					,    add_prefix_space=lowerCAmelCase_ )
        __snake_case :					Dict          =							rust_tokenizer.encode(lowerCAmelCase_ )
        self.assertListEqual(lowerCAmelCase_					,    lowerCAmelCase_ )

        # Testing the unknown token
        __snake_case :					Optional[Any]          =							tokens + [rust_tokenizer.unk_token]
        __snake_case :					Any          =							[14, 15, 10, 9, 3, 2, 15, 19]
        self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(lowerCAmelCase_ )					,    lowerCAmelCase_ )







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






        '''simple docstring'''






        pass







      def     UpperCAmelCase		(			self					,    UpperCAmelCase=15 )							-> Any:






        '''simple docstring'''






        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
          with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
            __snake_case :					Dict          =							self.rust_tokenizer_class.from_pretrained(lowerCAmelCase_					,    **lowerCAmelCase_ )

            # Simple input
            __snake_case :					Union[str, Any]          =							"This is a simple input"
            __snake_case :					Dict          =							["This is a simple input 1", "This is a simple input 2"]
            __snake_case :					Tuple          =							("This is a simple input", "This is a pair")
            __snake_case :					Any          =							[
                ("This is a simple input 1", "This is a simple input 2"),
                ("This is a simple pair 1", "This is a simple pair 2"),
            ]

            # Simple input tests
            self.assertRaises(lowerCAmelCase_					,    tokenizer_r.encode					,    lowerCAmelCase_					,    max_length=lowerCAmelCase_					,    padding="max_length" )

            # Simple input
            self.assertRaises(lowerCAmelCase_					,    tokenizer_r.encode_plus					,    lowerCAmelCase_					,    max_length=lowerCAmelCase_					,    padding="max_length" )

            # Simple input
            self.assertRaises(
                lowerCAmelCase_					,    tokenizer_r.batch_encode_plus					,    lowerCAmelCase_					,    max_length=lowerCAmelCase_					,    padding="max_length"					,    )

            # Pair input
            self.assertRaises(lowerCAmelCase_					,    tokenizer_r.encode					,    lowerCAmelCase_					,    max_length=lowerCAmelCase_					,    padding="max_length" )

            # Pair input
            self.assertRaises(lowerCAmelCase_					,    tokenizer_r.encode_plus					,    lowerCAmelCase_					,    max_length=lowerCAmelCase_					,    padding="max_length" )

            # Pair input
            self.assertRaises(
                lowerCAmelCase_					,    tokenizer_r.batch_encode_plus					,    lowerCAmelCase_					,    max_length=lowerCAmelCase_					,    padding="max_length"					,    )







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






        '''simple docstring'''






        __snake_case :					str          =							GPTaTokenizer.from_pretrained(self.tmpdirname					,    pad_token="<pad>" )

        # Simple input
        __snake_case :					Optional[Any]          =							"This is a simple input"
        __snake_case :					List[Any]          =							["This is a simple input looooooooong", "This is a simple input"]
        __snake_case :					Union[str, Any]          =							("This is a simple input", "This is a pair")
        __snake_case :					Union[str, Any]          =							[
            ("This is a simple input loooooong", "This is a simple input"),
            ("This is a simple pair loooooong", "This is a simple pair"),
        ]

        __snake_case :					int          =							tokenizer.pad_token_id

        __snake_case :					Optional[Any]          =							tokenizer(lowerCAmelCase_					,    padding="max_length"					,    max_length=30					,    return_tensors="np" )
        __snake_case :					Dict          =							tokenizer(lowerCAmelCase_					,    padding=lowerCAmelCase_					,    truncate=lowerCAmelCase_					,    return_tensors="np" )
        __snake_case :					Optional[Any]          =							tokenizer(*lowerCAmelCase_					,    padding="max_length"					,    max_length=60					,    return_tensors="np" )
        __snake_case :					Any          =							tokenizer(lowerCAmelCase_					,    padding=lowerCAmelCase_					,    truncate=lowerCAmelCase_					,    return_tensors="np" )

        # s
        # test single string max_length padding
        self.assertEqual(out_s["input_ids"].shape[-1]					,    30 )
        self.assertTrue(pad_token_id in out_s["input_ids"] )
        self.assertTrue(0 in out_s["attention_mask"] )

        # s2
        # test automatic padding
        self.assertEqual(out_sa["input_ids"].shape[-1]					,    33 )
        # long slice doesn't have padding
        self.assertFalse(pad_token_id in out_sa["input_ids"][0] )
        self.assertFalse(0 in out_sa["attention_mask"][0] )
        # short slice does have padding
        self.assertTrue(pad_token_id in out_sa["input_ids"][1] )
        self.assertTrue(0 in out_sa["attention_mask"][1] )

        # p
        # test single pair max_length padding
        self.assertEqual(out_p["input_ids"].shape[-1]					,    60 )
        self.assertTrue(pad_token_id in out_p["input_ids"] )
        self.assertTrue(0 in out_p["attention_mask"] )

        # p2
        # test automatic padding pair
        self.assertEqual(out_pa["input_ids"].shape[-1]					,    52 )
        # long slice pair doesn't have padding
        self.assertFalse(pad_token_id in out_pa["input_ids"][0] )
        self.assertFalse(0 in out_pa["attention_mask"][0] )
        # short slice pair does have padding
        self.assertTrue(pad_token_id in out_pa["input_ids"][1] )
        self.assertTrue(0 in out_pa["attention_mask"][1] )







      def     UpperCAmelCase		(			self )							-> str:






        '''simple docstring'''






        __snake_case :					Tuple          =							"$$$"
        __snake_case :					str          =							GPTaTokenizer.from_pretrained(self.tmpdirname					,    bos_token=lowerCAmelCase_					,    add_bos_token=lowerCAmelCase_ )

        __snake_case :					str          =							"This is a simple input"
        __snake_case :					str          =							["This is a simple input 1", "This is a simple input 2"]

        __snake_case :					Union[str, Any]          =							tokenizer.bos_token_id

        __snake_case :					Tuple          =							tokenizer(lowerCAmelCase_ )
        __snake_case :					List[Any]          =							tokenizer(lowerCAmelCase_ )

        self.assertEqual(out_s.input_ids[0]					,    lowerCAmelCase_ )
        self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids ) )

        __snake_case :					List[str]          =							tokenizer.decode(out_s.input_ids )
        __snake_case :					Optional[Any]          =							tokenizer.batch_decode(out_sa.input_ids )

        self.assertEqual(decode_s.split()[0]					,    lowerCAmelCase_ )
        self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa ) )







      def     UpperCAmelCase		(			self )							-> Any:






        '''simple docstring'''






        pass







      def     UpperCAmelCase		(			self )							-> Any:






        '''simple docstring'''






        __snake_case :					int          =							[self.get_tokenizer(do_lower_case=lowerCAmelCase_					,    add_bos_token=lowerCAmelCase_ )]
        for tokenizer in tokenizers:
          with self.subTest(F"""{tokenizer.__class__.__name__}""" ):
            __snake_case :					Union[str, Any]          =							"Encode this."
            __snake_case :					Tuple          =							"This one too please."
            __snake_case :					str          =							tokenizer.encode(lowerCAmelCase_					,    add_special_tokens=lowerCAmelCase_ )
            encoded_sequence += tokenizer.encode(lowerCAmelCase_					,    add_special_tokens=lowerCAmelCase_ )
            __snake_case :					str          =							tokenizer.encode_plus(
                lowerCAmelCase_					,    lowerCAmelCase_					,    add_special_tokens=lowerCAmelCase_					,    return_special_tokens_mask=lowerCAmelCase_					,    )
            __snake_case :					Any          =							encoded_sequence_dict["input_ids"]
            __snake_case :					Optional[Any]          =							encoded_sequence_dict["special_tokens_mask"]
            self.assertEqual(len(lowerCAmelCase_ )					,    len(lowerCAmelCase_ ) )

            __snake_case :					List[Any]          =							[
                (x if not special_tokens_mask[i] else None) for i, x in enumerate(lowerCAmelCase_ )
            ]
            __snake_case :					Any          =							[x for x in filtered_sequence if x is not None]
            self.assertEqual(lowerCAmelCase_					,    lowerCAmelCase_ )




@require_tokenizers
class 					_lowerCamelCase			(     unittest.TestCase     ):



      """simple docstring"""






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






        '''simple docstring'''






        __snake_case :					Tuple          =							AutoTokenizer.from_pretrained("facebook/opt-350m"					,    from_slow=lowerCAmelCase_ )
        __snake_case :					Any          =							"A photo of a cat"

        __snake_case :					Optional[Any]          =							tokenizer.encode(
            lowerCAmelCase_					,    )
        self.assertEqual(lowerCAmelCase_					,    [2, 250, 1345, 9, 10, 4758] )
        tokenizer.save_pretrained("test_opt" )

        __snake_case :					str          =							AutoTokenizer.from_pretrained("./test_opt" )
        __snake_case :					Tuple          =							tokenizer.encode(
            lowerCAmelCase_					,    )
        self.assertEqual(lowerCAmelCase_					,    [2, 250, 1345, 9, 10, 4758] )







      def     UpperCAmelCase		(			self )							-> int:






        '''simple docstring'''






        __snake_case :					Dict          =							AutoTokenizer.from_pretrained("facebook/opt-350m"					,    use_slow=lowerCAmelCase_ )
        __snake_case :					int          =							"A photo of a cat"

        __snake_case :					Union[str, Any]          =							tokenizer.encode(
            lowerCAmelCase_					,    )
        # Same as above
        self.assertEqual(lowerCAmelCase_					,    [2, 250, 1345, 9, 10, 4758] )







      @unittest.skip("This test is failing because of a bug in the fast tokenizer" )
      def     UpperCAmelCase		(			self )							-> Dict:






        '''simple docstring'''






        __snake_case :					Any          =							AutoTokenizer.from_pretrained("facebook/opt-350m"					,    from_slow=lowerCAmelCase_ )

        __snake_case :					Optional[Any]          =							"bos"
        __snake_case :					List[Any]          =							tokenizer.get_vocab()["bos"]

        __snake_case :					Any          =							"A photo of a cat"
        __snake_case :					Optional[Any]          =							tokenizer.encode(
            lowerCAmelCase_					,    )
        # We changed the bos token
        self.assertEqual(lowerCAmelCase_					,    [31957, 250, 1345, 9, 10, 4758] )
        tokenizer.save_pretrained("./tok" )
        __snake_case :					List[str]          =							AutoTokenizer.from_pretrained("./tok" )
        self.assertTrue(tokenizer.is_fast )
        __snake_case :					Optional[Any]          =							tokenizer.encode(
            lowerCAmelCase_					,    )
        self.assertEqual(lowerCAmelCase_					,    [31957, 250, 1345, 9, 10, 4758] )







'''simple docstring'''


import requests
def 						snake_case_       (UpperCamelCase			:    str					,		UpperCamelCase			:    str ):





							'''simple docstring'''


							_a      	=							{'''Content-Type''': '''application/json'''}
							_a      	=							requests.post(UpperCamelCase					,		json={'''text''': message_body}					,		headers=UpperCamelCase )
							if response.status_code != 200:
														_a      	=							(
														    '''Request to slack returned an error '''
														    f'{response.status_code}, the response is:\n{response.text}'
														)
														raise ValueError(UpperCamelCase )


if __name__ == "__main__":
				# Set the slack url to the one provided by Slack when you create the webhook at
				# https://my.slack.com/services/new/incoming-webhook/
				send_slack_message('<YOUR MESSAGE BODY>', '<SLACK CHANNEL URL>')

