"""simple docstring"""
import json
import os
import re
import unittest

from transformers import CodeGenTokenizer, CodeGenTokenizerFast
from transformers.models.codegen.tokenization_codegen import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class    __snake_case       (     __lowerCAmelCase       ,      unittest.TestCase				):
      a__        =		CodeGenTokenizer
      a__        =		CodeGenTokenizerFast
      a__        =		True
      a__        =		{"""add_prefix_space""": True}
      a__        =		False



      def   lowerCamelCase_   (						self)	->			Any:





        '''simple docstring'''





        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        a__:     int										=	[
            'l',
            'o',
            'w',
            'e',
            'r',
            's',
            't',
            'i',
            'd',
            'n',
            '\u0120',
            '\u0120l',
            '\u0120n',
            '\u0120lo',
            '\u0120low',
            'er',
            '\u0120lowest',
            '\u0120newer',
            '\u0120wider',
            '<unk>',
            '<|endoftext|>',
        ]
        a__:     List[str]										=	dict(zip(lowercase    ,			range(len(lowercase))))
        a__:     Optional[int]										=	['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
        a__:     Tuple										=	{'unk_token': '<unk>'}

        a__:     Optional[Any]										=	os.path.join(self.tmpdirname    ,			VOCAB_FILES_NAMES['vocab_file'])
        a__:     Dict										=	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(lowercase) + '\n')
        with open(self.merges_file    ,			'w'    ,			encoding='utf-8') as fp:
          fp.write('\n'.join(lowercase))



      def   lowerCamelCase_   (						self    ,			**lowercase)	->			Optional[int]:





        '''simple docstring'''





        kwargs.update(self.special_tokens_map)
        return CodeGenTokenizer.from_pretrained(self.tmpdirname    ,			**lowercase)



      def   lowerCamelCase_   (						self    ,			**lowercase)	->			Tuple:





        '''simple docstring'''





        kwargs.update(self.special_tokens_map)
        return CodeGenTokenizerFast.from_pretrained(self.tmpdirname    ,			**lowercase)



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





        '''simple docstring'''





        a__:     List[str]										=	'lower newer'
        a__:     str										=	'lower newer'
        return input_text, output_text



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





        '''simple docstring'''





        a__:     List[Any]										=	CodeGenTokenizer(self.vocab_file    ,			self.merges_file    ,			**self.special_tokens_map)
        a__:     Union[str, Any]										=	'lower newer'
        a__:     Any										=	['\u0120low', 'er', '\u0120', 'n', 'e', 'w', 'er']
        a__:     Tuple										=	tokenizer.tokenize(lowercase    ,			add_prefix_space=lowercase)
        self.assertListEqual(lowercase    ,			lowercase)

        a__:     int										=	tokens + [tokenizer.unk_token]
        a__:     Any										=	[14, 15, 10, 9, 3, 2, 15, 19]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase)    ,			lowercase)



      def   lowerCamelCase_   (						self)	->			Tuple:





        '''simple docstring'''





        if not self.test_rust_tokenizer:
          return

        a__:     Union[str, Any]										=	self.get_tokenizer()
        a__:     int										=	self.get_rust_tokenizer(add_prefix_space=lowercase)

        a__:     Any										=	'lower newer'

        # Testing tokenization
        a__:     Any										=	tokenizer.tokenize(lowercase    ,			add_prefix_space=lowercase)
        a__:     Tuple										=	rust_tokenizer.tokenize(lowercase)
        self.assertListEqual(lowercase    ,			lowercase)

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

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

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



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





        '''simple docstring'''





        pass



      def   lowerCamelCase_   (						self    ,			lowercase=15)	->			int:





        '''simple docstring'''





        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
          with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'):
            a__:     Optional[Any]										=	self.rust_tokenizer_class.from_pretrained(lowercase    ,			**lowercase)

            # Simple input
            a__:     Any										=	'This is a simple input'
            a__:     str										=	['This is a simple input 1', 'This is a simple input 2']
            a__:     Any										=	('This is a simple input', 'This is a pair')
            a__:     int										=	[
                ('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(lowercase    ,			tokenizer_r.encode    ,			lowercase    ,			max_length=lowercase    ,			padding='max_length')

            # Simple input
            self.assertRaises(lowercase    ,			tokenizer_r.encode_plus    ,			lowercase    ,			max_length=lowercase    ,			padding='max_length')

            # Simple input
            self.assertRaises(
                lowercase    ,			tokenizer_r.batch_encode_plus    ,			lowercase    ,			max_length=lowercase    ,			padding='max_length'    ,			)

            # Pair input
            self.assertRaises(lowercase    ,			tokenizer_r.encode    ,			lowercase    ,			max_length=lowercase    ,			padding='max_length')

            # Pair input
            self.assertRaises(lowercase    ,			tokenizer_r.encode_plus    ,			lowercase    ,			max_length=lowercase    ,			padding='max_length')

            # Pair input
            self.assertRaises(
                lowercase    ,			tokenizer_r.batch_encode_plus    ,			lowercase    ,			max_length=lowercase    ,			padding='max_length'    ,			)



      def   lowerCamelCase_   (						self)	->			str:





        '''simple docstring'''





        a__:     str										=	CodeGenTokenizer.from_pretrained(self.tmpdirname    ,			pad_token='<pad>')

        # Simple input
        a__:     str										=	'This is a simple input'
        a__:     List[Any]										=	['This is a simple input looooooooong', 'This is a simple input']
        a__:     int										=	('This is a simple input', 'This is a pair')
        a__:     str										=	[
            ('This is a simple input loooooong', 'This is a simple input'),
            ('This is a simple pair loooooong', 'This is a simple pair'),
        ]

        a__:     List[Any]										=	tokenizer.pad_token_id

        a__:     Optional[Any]										=	tokenizer(lowercase    ,			padding='max_length'    ,			max_length=30    ,			return_tensors='np')
        a__:     Union[str, Any]										=	tokenizer(lowercase    ,			padding=lowercase    ,			truncate=lowercase    ,			return_tensors='np')
        a__:     Union[str, Any]										=	tokenizer(*lowercase    ,			padding='max_length'    ,			max_length=60    ,			return_tensors='np')
        a__:     Optional[Any]										=	tokenizer(lowercase    ,			padding=lowercase    ,			truncate=lowercase    ,			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   lowerCamelCase_   (						self)	->			Tuple:





        '''simple docstring'''





        a__:     Any										=	'$$$'
        a__:     Union[str, Any]										=	CodeGenTokenizer.from_pretrained(self.tmpdirname    ,			bos_token=lowercase    ,			add_bos_token=lowercase)

        a__:     List[str]										=	'This is a simple input'
        a__:     List[Any]										=	['This is a simple input 1', 'This is a simple input 2']

        a__:     Tuple										=	tokenizer.bos_token_id

        a__:     Optional[Any]										=	tokenizer(lowercase)
        a__:     Dict										=	tokenizer(lowercase)

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

        a__:     str										=	tokenizer.decode(out_s.input_ids)
        a__:     List[str]										=	tokenizer.batch_decode(out_sa.input_ids)

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



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





        '''simple docstring'''





        a__:     Optional[int]										=	CodeGenTokenizer.from_pretrained('Salesforce/codegen-350M-mono')

        a__:     int										=	'\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#'
        a__:     Tuple										=	'\nif len_a > len_b:      result = a\nelse:      result = b'

        a__:     Dict										=	tokenizer.encode(lowercase)
        a__:     Union[str, Any]										=	['^#', re.escape('<|endoftext|>'), '^\'\'\'', '^"""', '\n\n\n']
        a__:     List[str]										=	tokenizer.decode(lowercase    ,			truncate_before_pattern=lowercase)
        self.assertEqual(lowercase    ,			lowercase)



      def   lowerCamelCase_   (						self)	->			int:





        '''simple docstring'''





        pass



"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase__					       =	logging.get_logger(__name__)

lowercase__					       =	{
    'edbeeching/decision-transformer-gym-hopper-medium': (
        'https://huggingface.co/edbeeching/decision-transformer-gym-hopper-medium/resolve/main/config.json'
    ),
    # See all DecisionTransformer models at https://huggingface.co/models?filter=decision_transformer
}




class    __snake_case       (     __lowerCAmelCase				):
      a__        =		"""decision_transformer"""
      a__        =		["""past_key_values"""]
      a__        =		{
          """max_position_embeddings""": """n_positions""",
          """num_attention_heads""": """n_head""",
          """num_hidden_layers""": """n_layer""",
      }



      def __init__(						self    ,			lowercase=17    ,			lowercase=4    ,			lowercase=1_28    ,			lowercase=40_96    ,			lowercase=True    ,			lowercase=1    ,			lowercase=10_24    ,			lowercase=3    ,			lowercase=1    ,			lowercase=None    ,			lowercase="relu"    ,			lowercase=0.1    ,			lowercase=0.1    ,			lowercase=0.1    ,			lowercase=1e-5    ,			lowercase=0.02    ,			lowercase=True    ,			lowercase=True    ,			lowercase=5_02_56    ,			lowercase=5_02_56    ,			lowercase=False    ,			lowercase=False    ,			**lowercase    ,			)	->			Tuple:





        '''simple docstring'''





        a__:     List[str]										=	state_dim
        a__:     int										=	act_dim
        a__:     List[Any]										=	hidden_size
        a__:     List[str]										=	max_ep_len
        a__:     List[Any]										=	action_tanh
        a__:     Optional[Any]										=	vocab_size
        a__:     Tuple										=	n_positions
        a__:     Dict										=	n_layer
        a__:     Optional[int]										=	n_head
        a__:     Optional[int]										=	n_inner
        a__:     Any										=	activation_function
        a__:     Union[str, Any]										=	resid_pdrop
        a__:     Any										=	embd_pdrop
        a__:     Any										=	attn_pdrop
        a__:     List[Any]										=	layer_norm_epsilon
        a__:     Optional[Any]										=	initializer_range
        a__:     Any										=	scale_attn_weights
        a__:     Dict										=	use_cache
        a__:     Optional[int]										=	scale_attn_by_inverse_layer_idx
        a__:     List[str]										=	reorder_and_upcast_attn

        a__:     Any										=	bos_token_id
        a__:     int										=	eos_token_id

        super().__init__(bos_token_id=lowercase    ,			eos_token_id=lowercase    ,			**lowercase)


