






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 	_UpperCAmelCase  (  _A				,							unittest.TestCase		):




      """simple docstring"""



      A          =    GPTaTokenizer
      A          =    GPTaTokenizerFast
      A          =    True
      A          =    {'''add_prefix_space''': True}
      A          =    False
      def 			snake_case_      (   self		):



          '''simple docstring'''
          super().setUp()

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

          lowerCAmelCase__   :Dict      							=				os.path.join(self.tmpdirname    ,	VOCAB_FILES_NAMES["vocab_file"]		)
          lowerCAmelCase__   :Tuple      							=				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 			snake_case_      (   self    ,	**_lowerCAmelCase		):



          '''simple docstring'''
          kwargs.update(self.special_tokens_map		)
          return GPTaTokenizer.from_pretrained(self.tmpdirname    ,	**_lowerCAmelCase		)
      def 			snake_case_      (   self    ,	**_lowerCAmelCase		):



          '''simple docstring'''
          kwargs.update(self.special_tokens_map		)
          return GPTaTokenizerFast.from_pretrained(self.tmpdirname    ,	**_lowerCAmelCase		)
      def 			snake_case_      (   self    ,	_lowerCAmelCase		):



          '''simple docstring'''
          lowerCAmelCase__   :int      							=				"lower newer"
          lowerCAmelCase__   :Union[str, Any]      							=				"lower newer"
          return input_text, output_text
      def 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :Optional[int]      							=				GPTaTokenizer(self.vocab_file    ,	self.merges_file    ,	**self.special_tokens_map		)
          lowerCAmelCase__   :Optional[int]      							=				"lower newer"
          lowerCAmelCase__   :int      							=				["\u0120low", "er", "\u0120", "n", "e", "w", "er"]
          lowerCAmelCase__   :int      							=				tokenizer.tokenize(_lowerCAmelCase    ,	add_prefix_space=_lowerCAmelCase		)
          self.assertListEqual(_lowerCAmelCase    ,	_lowerCAmelCase		)

          lowerCAmelCase__   :Tuple      							=				tokens + [tokenizer.unk_token]
          lowerCAmelCase__   :Union[str, Any]      							=				[14, 15, 10, 9, 3, 2, 15, 19]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCAmelCase		)    ,	_lowerCAmelCase		)
      def 			snake_case_      (   self		):



          '''simple docstring'''
          if not self.test_rust_tokenizer:
              return

          lowerCAmelCase__   :List[Any]      							=				self.get_tokenizer()
          lowerCAmelCase__   :str      							=				self.get_rust_tokenizer(add_prefix_space=_lowerCAmelCase		)

          lowerCAmelCase__   :int      							=				"lower newer"

          # Testing tokenization
          lowerCAmelCase__   :List[Any]      							=				tokenizer.tokenize(_lowerCAmelCase    ,	add_prefix_space=_lowerCAmelCase		)
          lowerCAmelCase__   :List[str]      							=				rust_tokenizer.tokenize(_lowerCAmelCase		)
          self.assertListEqual(_lowerCAmelCase    ,	_lowerCAmelCase		)

          # Testing conversion to ids without special tokens
          lowerCAmelCase__   :str      							=				tokenizer.encode(_lowerCAmelCase    ,	add_special_tokens=_lowerCAmelCase    ,	add_prefix_space=_lowerCAmelCase		)
          lowerCAmelCase__   :Optional[int]      							=				rust_tokenizer.encode(_lowerCAmelCase    ,	add_special_tokens=_lowerCAmelCase		)
          self.assertListEqual(_lowerCAmelCase    ,	_lowerCAmelCase		)

          # Testing conversion to ids with special tokens
          lowerCAmelCase__   :List[str]      							=				self.get_rust_tokenizer(add_prefix_space=_lowerCAmelCase		)
          lowerCAmelCase__   :str      							=				tokenizer.encode(_lowerCAmelCase    ,	add_prefix_space=_lowerCAmelCase		)
          lowerCAmelCase__   :Optional[int]      							=				rust_tokenizer.encode(_lowerCAmelCase		)
          self.assertListEqual(_lowerCAmelCase    ,	_lowerCAmelCase		)

          # Testing the unknown token
          lowerCAmelCase__   :List[Any]      							=				tokens + [rust_tokenizer.unk_token]
          lowerCAmelCase__   :Tuple      							=				[14, 15, 10, 9, 3, 2, 15, 19]
          self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(_lowerCAmelCase		)    ,	_lowerCAmelCase		)
      def 			snake_case_      (   self    ,	*_lowerCAmelCase    ,	**_lowerCAmelCase		):



          '''simple docstring'''
          # It's very difficult to mix/test pretokenization with byte-level
          # And get both GPT2 and Roberta to work at the same time (mostly an issue of adding a space before the string)
          pass
      def 			snake_case_      (   self    ,	_lowerCAmelCase=15		):



          '''simple docstring'''
          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''		):
                  lowerCAmelCase__   :Union[str, Any]      							=				self.rust_tokenizer_class.from_pretrained(_lowerCAmelCase    ,	**_lowerCAmelCase		)

                  # Simple input
                  lowerCAmelCase__   :Optional[Any]      							=				"This is a simple input"
                  lowerCAmelCase__   :int      							=				["This is a simple input 1", "This is a simple input 2"]
                  lowerCAmelCase__   :List[str]      							=				("This is a simple input", "This is a pair")
                  lowerCAmelCase__   :Dict      							=				[
                      ("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 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :Optional[int]      							=				GPTaTokenizer.from_pretrained(self.tmpdirname    ,	pad_token="<pad>"		)

          # Simple input
          lowerCAmelCase__   :Optional[int]      							=				"This is a simple input"
          lowerCAmelCase__   :Optional[int]      							=				["This is a simple input looooooooong", "This is a simple input"]
          lowerCAmelCase__   :Dict      							=				("This is a simple input", "This is a pair")
          lowerCAmelCase__   :Optional[Any]      							=				[
              ("This is a simple input loooooong", "This is a simple input"),
              ("This is a simple pair loooooong", "This is a simple pair"),
          ]

          lowerCAmelCase__   :Optional[Any]      							=				tokenizer.pad_token_id

          lowerCAmelCase__   :Tuple      							=				tokenizer(_lowerCAmelCase    ,	padding="max_length"    ,	max_length=30    ,	return_tensors="np"		)
          lowerCAmelCase__   :List[Any]      							=				tokenizer(_lowerCAmelCase    ,	padding=_lowerCAmelCase    ,	truncate=_lowerCAmelCase    ,	return_tensors="np"		)
          lowerCAmelCase__   :Any      							=				tokenizer(*_lowerCAmelCase    ,	padding="max_length"    ,	max_length=60    ,	return_tensors="np"		)
          lowerCAmelCase__   :List[str]      							=				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 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :Optional[Any]      							=				"$$$"
          lowerCAmelCase__   :int      							=				GPTaTokenizer.from_pretrained(self.tmpdirname    ,	bos_token=_lowerCAmelCase    ,	add_bos_token=_lowerCAmelCase		)

          lowerCAmelCase__   :Optional[int]      							=				"This is a simple input"
          lowerCAmelCase__   :Union[str, Any]      							=				["This is a simple input 1", "This is a simple input 2"]

          lowerCAmelCase__   :List[str]      							=				tokenizer.bos_token_id

          lowerCAmelCase__   :Dict      							=				tokenizer(_lowerCAmelCase		)
          lowerCAmelCase__   :Optional[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		)		)

          lowerCAmelCase__   :int      							=				tokenizer.decode(out_s.input_ids		)
          lowerCAmelCase__   :List[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 			snake_case_      (   self		):



          '''simple docstring'''
          pass



      def 			snake_case_      (   self		):



          '''simple docstring'''
          # TODO: change to self.get_tokenizers() when the fast version is implemented
          lowerCAmelCase__   :Dict      							=				[self.get_tokenizer(do_lower_case=_lowerCAmelCase    ,	add_bos_token=_lowerCAmelCase		)]
          for tokenizer in tokenizers:
              with self.subTest(f'''{tokenizer.__class__.__name__}'''		):
                  lowerCAmelCase__   :Any      							=				"Encode this."
                  lowerCAmelCase__   :Union[str, Any]      							=				"This one too please."
                  lowerCAmelCase__   :List[Any]      							=				tokenizer.encode(_lowerCAmelCase    ,	add_special_tokens=_lowerCAmelCase		)
                  encoded_sequence += tokenizer.encode(_lowerCAmelCase    ,	add_special_tokens=_lowerCAmelCase		)
                  lowerCAmelCase__   :int      							=				tokenizer.encode_plus(
                      _lowerCAmelCase    ,	_lowerCAmelCase    ,	add_special_tokens=_lowerCAmelCase    ,	return_special_tokens_mask=_lowerCAmelCase    ,	)
                  lowerCAmelCase__   :List[Any]      							=				encoded_sequence_dict["input_ids"]
                  lowerCAmelCase__   :Optional[Any]      							=				encoded_sequence_dict["special_tokens_mask"]
                  self.assertEqual(len(_lowerCAmelCase		)    ,	len(_lowerCAmelCase		)		)

                  lowerCAmelCase__   :Optional[Any]      							=				[
                      (x if not special_tokens_mask[i] else None) for i, x in enumerate(_lowerCAmelCase		)
                  ]
                  lowerCAmelCase__   :Tuple      							=				[x for x in filtered_sequence if x is not None]
                  self.assertEqual(_lowerCAmelCase    ,	_lowerCAmelCase		)







@require_tokenizers
class 	_UpperCAmelCase  (  unittest.TestCase		):




      """simple docstring"""



      def 			snake_case_      (   self		):



          '''simple docstring'''
          # More context:
          # https://huggingface.co/wjmcat/opt-350m-paddle/discussions/1
          # https://huggingface.slack.com/archives/C01N44FJDHT/p1653511495183519
          # https://github.com/huggingface/transformers/pull/17088#discussion_r871246439

          lowerCAmelCase__   :List[str]      							=				AutoTokenizer.from_pretrained("facebook/opt-350m"    ,	from_slow=_lowerCAmelCase		)
          lowerCAmelCase__   :List[str]      							=				"A photo of a cat"

          lowerCAmelCase__   :Optional[Any]      							=				tokenizer.encode(
              _lowerCAmelCase    ,	)
          self.assertEqual(_lowerCAmelCase    ,	[2, 250, 1_345, 9, 10, 4_758]		)
          tokenizer.save_pretrained("test_opt"		)

          lowerCAmelCase__   :Union[str, Any]      							=				AutoTokenizer.from_pretrained("./test_opt"		)
          lowerCAmelCase__   :List[Any]      							=				tokenizer.encode(
              _lowerCAmelCase    ,	)
          self.assertEqual(_lowerCAmelCase    ,	[2, 250, 1_345, 9, 10, 4_758]		)
      def 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :Union[str, Any]      							=				AutoTokenizer.from_pretrained("facebook/opt-350m"    ,	use_slow=_lowerCAmelCase		)
          lowerCAmelCase__   :Any      							=				"A photo of a cat"

          lowerCAmelCase__   :List[str]      							=				tokenizer.encode(
              _lowerCAmelCase    ,	)
          # Same as above
          self.assertEqual(_lowerCAmelCase    ,	[2, 250, 1_345, 9, 10, 4_758]		)



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



          '''simple docstring'''
          lowerCAmelCase__   :List[Any]      							=				AutoTokenizer.from_pretrained("facebook/opt-350m"    ,	from_slow=_lowerCAmelCase		)

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

          lowerCAmelCase__   :Any      							=				"A photo of a cat"
          lowerCAmelCase__   :int      							=				tokenizer.encode(
              _lowerCAmelCase    ,	)
          # We changed the bos token
          self.assertEqual(_lowerCAmelCase    ,	[31_957, 250, 1_345, 9, 10, 4_758]		)
          tokenizer.save_pretrained("./tok"		)
          lowerCAmelCase__   :Optional[int]      							=				AutoTokenizer.from_pretrained("./tok"		)
          self.assertTrue(tokenizer.is_fast		)
          lowerCAmelCase__   :Optional[Any]      							=				tokenizer.encode(
              _lowerCAmelCase    ,	)
          self.assertEqual(_lowerCAmelCase    ,	[31_957, 250, 1_345, 9, 10, 4_758]		)











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


_a    :   Dict        =			logging.get_logger(__name__)

_a    :   Optional[Any]        =			{
    """caidas/swin2sr-classicalsr-x2-64""": (
        """https://huggingface.co/caidas/swin2sr-classicalsr-x2-64/resolve/main/config.json"""
    ),
}







class 	_UpperCAmelCase  (  _A		):




      """simple docstring"""



      A          =    '''swin2sr'''

      A          =    {
          '''hidden_size''': '''embed_dim''',
          '''num_attention_heads''': '''num_heads''',
          '''num_hidden_layers''': '''num_layers''',
      }
      def __init__(   self    ,	_lowerCAmelCase=64    ,	_lowerCAmelCase=1    ,	_lowerCAmelCase=3    ,	_lowerCAmelCase=180    ,	_lowerCAmelCase=[6, 6, 6, 6, 6, 6]    ,	_lowerCAmelCase=[6, 6, 6, 6, 6, 6]    ,	_lowerCAmelCase=8    ,	_lowerCAmelCase=2.0    ,	_lowerCAmelCase=True    ,	_lowerCAmelCase=0.0    ,	_lowerCAmelCase=0.0    ,	_lowerCAmelCase=0.1    ,	_lowerCAmelCase="gelu"    ,	_lowerCAmelCase=False    ,	_lowerCAmelCase=0.02    ,	_lowerCAmelCase=1e-5    ,	_lowerCAmelCase=2    ,	_lowerCAmelCase=1.0    ,	_lowerCAmelCase="1conv"    ,	_lowerCAmelCase="pixelshuffle"    ,	**_lowerCAmelCase    ,	):



          '''simple docstring'''
          super().__init__(**_lowerCAmelCase		)

          lowerCAmelCase__   :Union[str, Any]      							=				image_size
          lowerCAmelCase__   :List[Any]      							=				patch_size
          lowerCAmelCase__   :Any      							=				num_channels
          lowerCAmelCase__   :Union[str, Any]      							=				embed_dim
          lowerCAmelCase__   :Optional[int]      							=				depths
          lowerCAmelCase__   :int      							=				len(_lowerCAmelCase		)
          lowerCAmelCase__   :List[str]      							=				num_heads
          lowerCAmelCase__   :str      							=				window_size
          lowerCAmelCase__   :List[str]      							=				mlp_ratio
          lowerCAmelCase__   :List[Any]      							=				qkv_bias
          lowerCAmelCase__   :Union[str, Any]      							=				hidden_dropout_prob
          lowerCAmelCase__   :Optional[int]      							=				attention_probs_dropout_prob
          lowerCAmelCase__   :Dict      							=				drop_path_rate
          lowerCAmelCase__   :Tuple      							=				hidden_act
          lowerCAmelCase__   :Dict      							=				use_absolute_embeddings
          lowerCAmelCase__   :Tuple      							=				layer_norm_eps
          lowerCAmelCase__   :Dict      							=				initializer_range
          lowerCAmelCase__   :Optional[int]      							=				upscale
          lowerCAmelCase__   :Optional[Any]      							=				img_range
          lowerCAmelCase__   :List[str]      							=				resi_connection
          lowerCAmelCase__   :Union[str, Any]      							=				upsampler



