





UpperCamelCase__      ='Alexander Joslin'

import operator as op

from .stack import Stack






def     lowerCamelCase__			(__lowerCamelCase	):
     _SCREAMING_SNAKE_CASE       :	Dict						    =							{"*": op.mul, "/": op.truediv, "+": op.add, "-": op.sub}

     _SCREAMING_SNAKE_CASE       :	Stack[int]						    =							Stack()
     _SCREAMING_SNAKE_CASE       :	Stack[str]						    =							Stack()

     for i in equation:
          if i.isdigit():
               # RULE 1
               operand_stack.push(int(__lowerCamelCase	)	)
          elif i in operators:
               # RULE 2
               operator_stack.push(__lowerCamelCase	)
          elif i == ")":
               # RULE 4
               _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							operator_stack.peek()
               operator_stack.pop()
               _SCREAMING_SNAKE_CASE       :	List[str]						    =							operand_stack.peek()
               operand_stack.pop()
               _SCREAMING_SNAKE_CASE       :	List[str]						    =							operand_stack.peek()
               operand_stack.pop()

               _SCREAMING_SNAKE_CASE       :	str						    =							operators[opr](__lowerCamelCase,       __lowerCamelCase	)
               operand_stack.push(__lowerCamelCase	)

    # RULE 5
     return operand_stack.peek()


if __name__ == "__main__":
       UpperCamelCase__      ='(5 + ((4 * 2) * (2 + 3)))'
       # answer = 45
       print(f"{equation} = {dijkstras_two_stack_algorithm(equation)}")






import json
import os
import shutil
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import AutoConfig, BertConfig, GPTaConfig
from transformers.configuration_utils import PretrainedConfig
from transformers.testing_utils import TOKEN, USER, is_staging_test


sys.path.append(str(Path(__file__).parent.parent / 'utils'))

from test_module.custom_configuration import CustomConfig  # noqa E402


UpperCamelCase__      ={
    'return_dict': False,
    'output_hidden_states': True,
    'output_attentions': True,
    'torchscript': True,
    'torch_dtype': 'float16',
    'use_bfloat16': True,
    'tf_legacy_loss': True,
    'pruned_heads': {'a': 1},
    'tie_word_embeddings': False,
    'is_decoder': True,
    'cross_attention_hidden_size': 128,
    'add_cross_attention': True,
    'tie_encoder_decoder': True,
    'max_length': 50,
    'min_length': 3,
    'do_sample': True,
    'early_stopping': True,
    'num_beams': 3,
    'num_beam_groups': 3,
    'diversity_penalty': 0.5,
    'temperature': 2.0,
    'top_k': 10,
    'top_p': 0.7,
    'typical_p': 0.2,
    'repetition_penalty': 0.8,
    'length_penalty': 0.8,
    'no_repeat_ngram_size': 5,
    'encoder_no_repeat_ngram_size': 5,
    'bad_words_ids': [1, 2, 3],
    'num_return_sequences': 3,
    'chunk_size_feed_forward': 5,
    'output_scores': True,
    'return_dict_in_generate': True,
    'forced_bos_token_id': 2,
    'forced_eos_token_id': 3,
    'remove_invalid_values': True,
    'architectures': ['BertModel'],
    'finetuning_task': 'translation',
    'id2label': {0: 'label'},
    'label2id': {'label': '0'},
    'tokenizer_class': 'BertTokenizerFast',
    'prefix': 'prefix',
    'bos_token_id': 6,
    'pad_token_id': 7,
    'eos_token_id': 8,
    'sep_token_id': 9,
    'decoder_start_token_id': 10,
    'exponential_decay_length_penalty': (5, 1.01),
    'suppress_tokens': [0, 1],
    'begin_suppress_tokens': 2,
    'task_specific_params': {'translation': 'some_params'},
    'problem_type': 'regression',
}





@is_staging_test
class 			lowerCAmelCase__( unittest.TestCase    ):






       '''simple docstring'''


       @classmethod
       def     UpperCamelCase_			(      cls							)			->     Optional[int]:
            _SCREAMING_SNAKE_CASE       :	Tuple						    =							TOKEN
            HfFolder.save_token(__lowerCamelCase							)




       @classmethod
       def     UpperCamelCase_			(      cls							)			->     List[str]:
            try:
                 delete_repo(token=cls._token    ,						repo_id="test-config"							)
            except HTTPError:
                 pass

            try:
                 delete_repo(token=cls._token    ,						repo_id="valid_org/test-config-org"							)
            except HTTPError:
                 pass

            try:
                 delete_repo(token=cls._token    ,						repo_id="test-dynamic-config"							)
            except HTTPError:
                 pass




       def     UpperCamelCase_			(      self							)			->     Any:
            _SCREAMING_SNAKE_CASE       :	Dict						    =							BertConfig(
                vocab_size=9_9    ,						hidden_size=3_2    ,						num_hidden_layers=5    ,						num_attention_heads=4    ,						intermediate_size=3_7							)
            config.push_to_hub("test-config"    ,						use_auth_token=self._token							)

            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							BertConfig.from_pretrained(F"""{USER}/test-config"""							)
            for k, v in config.to_dict().items():
                 if k != "transformers_version":
                      self.assertEqual(__lowerCamelCase    ,						getattr(__lowerCamelCase    ,						__lowerCamelCase							)							)

        # Reset repo
            delete_repo(token=self._token    ,						repo_id="test-config"							)

            # Push to hub via save_pretrained
            with tempfile.TemporaryDirectory() as tmp_dir:
                 config.save_pretrained(__lowerCamelCase    ,						repo_id="test-config"    ,						push_to_hub=__lowerCamelCase    ,						use_auth_token=self._token							)

            _SCREAMING_SNAKE_CASE       :	Dict						    =							BertConfig.from_pretrained(F"""{USER}/test-config"""							)
            for k, v in config.to_dict().items():
                 if k != "transformers_version":
                      self.assertEqual(__lowerCamelCase    ,						getattr(__lowerCamelCase    ,						__lowerCamelCase							)							)




       def     UpperCamelCase_			(      self							)			->     List[str]:
            _SCREAMING_SNAKE_CASE       :	int						    =							BertConfig(
                vocab_size=9_9    ,						hidden_size=3_2    ,						num_hidden_layers=5    ,						num_attention_heads=4    ,						intermediate_size=3_7							)
            config.push_to_hub("valid_org/test-config-org"    ,						use_auth_token=self._token							)

            _SCREAMING_SNAKE_CASE       :	str						    =							BertConfig.from_pretrained("valid_org/test-config-org"							)
            for k, v in config.to_dict().items():
                 if k != "transformers_version":
                      self.assertEqual(__lowerCamelCase    ,						getattr(__lowerCamelCase    ,						__lowerCamelCase							)							)

        # Reset repo
            delete_repo(token=self._token    ,						repo_id="valid_org/test-config-org"							)

            # Push to hub via save_pretrained
            with tempfile.TemporaryDirectory() as tmp_dir:
                 config.save_pretrained(
                     __lowerCamelCase    ,						repo_id="valid_org/test-config-org"    ,						push_to_hub=__lowerCamelCase    ,						use_auth_token=self._token							)

            _SCREAMING_SNAKE_CASE       :	int						    =							BertConfig.from_pretrained("valid_org/test-config-org"							)
            for k, v in config.to_dict().items():
                 if k != "transformers_version":
                      self.assertEqual(__lowerCamelCase    ,						getattr(__lowerCamelCase    ,						__lowerCamelCase							)							)







       def     UpperCamelCase_			(      self							)			->     int:
            CustomConfig.register_for_auto_class()
            _SCREAMING_SNAKE_CASE       :	Dict						    =							CustomConfig(attribute=4_2							)

            config.push_to_hub("test-dynamic-config"    ,						use_auth_token=self._token							)

            # This has added the proper auto_map field to the config
            self.assertDictEqual(config.auto_map    ,						{"AutoConfig": "custom_configuration.CustomConfig"}							)

            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							AutoConfig.from_pretrained(F"""{USER}/test-dynamic-config"""    ,						trust_remote_code=__lowerCamelCase							)
            # Can't make an isinstance check because the new_config is from the FakeConfig class of a dynamic module
            self.assertEqual(new_config.__class__.__name__    ,						"CustomConfig"							)
            self.assertEqual(new_config.attribute    ,						4_2							)





class 			lowerCAmelCase__( unittest.TestCase    ):






       '''simple docstring'''


       def     UpperCamelCase_			(      self							)			->     Union[str, Any]:
            _SCREAMING_SNAKE_CASE       :	int						    =							GPTaConfig()

            # attempt to modify each of int/float/bool/str config records and verify they were updated
            _SCREAMING_SNAKE_CASE       :	Any						    =							c.n_embd + 1  # int
            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							c.resid_pdrop + 1.0  # float
            _SCREAMING_SNAKE_CASE       :	str						    =							not c.scale_attn_weights  # bool
            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							c.summary_type + "foo"  # str
            c.update_from_string(
                F"""n_embd={n_embd},resid_pdrop={resid_pdrop},scale_attn_weights={scale_attn_weights},summary_type={summary_type}"""							)
            self.assertEqual(__lowerCamelCase    ,						c.n_embd    ,						"mismatch for key: n_embd"							)
            self.assertEqual(__lowerCamelCase    ,						c.resid_pdrop    ,						"mismatch for key: resid_pdrop"							)
            self.assertEqual(__lowerCamelCase    ,						c.scale_attn_weights    ,						"mismatch for key: scale_attn_weights"							)
            self.assertEqual(__lowerCamelCase    ,						c.summary_type    ,						"mismatch for key: summary_type"							)




       def     UpperCamelCase_			(      self							)			->     Dict:
            _SCREAMING_SNAKE_CASE       :	str						    =							PretrainedConfig()
            _SCREAMING_SNAKE_CASE       :	Dict						    =							[key for key in base_config.__dict__ if key not in config_common_kwargs]
            # If this part of the test fails, you have arguments to addin config_common_kwargs above.
            self.assertListEqual(
                __lowerCamelCase    ,						["is_encoder_decoder", "_name_or_path", "_commit_hash", "transformers_version"]							)
            _SCREAMING_SNAKE_CASE       :	int						    =							[key for key, value in config_common_kwargs.items() if value == getattr(__lowerCamelCase    ,						__lowerCamelCase							)]
            if len(__lowerCamelCase							) > 0:
                 raise ValueError(
                     "The following keys are set with the default values in"
                     " `test_configuration_common.config_common_kwargs` pick another value for them:"
                     F""" {', '.join(__lowerCamelCase							)}."""							)




       def     UpperCamelCase_			(      self							)			->     int:
            with self.assertRaises(__lowerCamelCase							):
                 # config is in subfolder, the following should not work without specifying the subfolder
                 _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							BertConfig.from_pretrained("hf-internal-testing/tiny-random-bert-subfolder"							)

            _SCREAMING_SNAKE_CASE       :	int						    =							BertConfig.from_pretrained("hf-internal-testing/tiny-random-bert-subfolder"    ,						subfolder="bert"							)

            self.assertIsNotNone(__lowerCamelCase							)




       def     UpperCamelCase_			(      self							)			->     str:
            # A mock response for an HTTP head request to emulate server down
            _SCREAMING_SNAKE_CASE       :	Any						    =							mock.Mock()
            _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							5_0_0
            _SCREAMING_SNAKE_CASE       :	Any						    =							{}
            _SCREAMING_SNAKE_CASE       :	int						    =							HTTPError
            _SCREAMING_SNAKE_CASE       :	int						    =							{}

            # Download this model to make sure it's in the cache.
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							BertConfig.from_pretrained("hf-internal-testing/tiny-random-bert"							)

            # Under the mock environment we get a 500 error when trying to reach the model.
            with mock.patch("requests.Session.request"    ,						return_value=__lowerCamelCase							) as mock_head:
                 _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							BertConfig.from_pretrained("hf-internal-testing/tiny-random-bert"							)
                 # This check we did call the fake head request
                 mock_head.assert_called()




       def     UpperCamelCase_			(      self							)			->     Optional[Any]:
            # This test is for deprecated behavior and can be removed in v5
            _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							BertConfig.from_pretrained(
                "https://huggingface.co/hf-internal-testing/tiny-random-bert/resolve/main/config.json"							)




       def     UpperCamelCase_			(      self							)			->     str:
            _SCREAMING_SNAKE_CASE       :	int						    =							AutoConfig.from_pretrained("bert-base-cased"							)
            _SCREAMING_SNAKE_CASE       :	List[str]						    =							["config.4.0.0.json"]

            with tempfile.TemporaryDirectory() as tmp_dir:
                 configuration.save_pretrained(__lowerCamelCase							)
                 _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							2
                 json.dump(configuration.to_dict()    ,						open(os.path.join(__lowerCamelCase    ,						"config.4.0.0.json"							)    ,						"w"							)							)

                 # This should pick the new configuration file as the version of Transformers is > 4.0.0
                 _SCREAMING_SNAKE_CASE       :	Optional[int]						    =							AutoConfig.from_pretrained(__lowerCamelCase							)
                 self.assertEqual(new_configuration.hidden_size    ,						2							)

                 # Will need to be adjusted if we reach v42 and this test is still here.
                 # Should pick the old configuration file as the version of Transformers is < 4.42.0
                 _SCREAMING_SNAKE_CASE       :	Dict						    =							["config.42.0.0.json"]
                 _SCREAMING_SNAKE_CASE       :	List[Any]						    =							7_6_8
                 configuration.save_pretrained(__lowerCamelCase							)
                 shutil.move(os.path.join(__lowerCamelCase    ,						"config.4.0.0.json"							)    ,						os.path.join(__lowerCamelCase    ,						"config.42.0.0.json"							)							)
                 _SCREAMING_SNAKE_CASE       :	Tuple						    =							AutoConfig.from_pretrained(__lowerCamelCase							)
                 self.assertEqual(new_configuration.hidden_size    ,						7_6_8							)







       def     UpperCamelCase_			(      self							)			->     Dict:
            # This repo has two configuration files, one for v4.0.0 and above with a different hidden size.
            _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							"hf-internal-testing/test-two-configs"

            import transformers as new_transformers

            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							"v4.0.0"
            _SCREAMING_SNAKE_CASE    ,			_SCREAMING_SNAKE_CASE       :	int						    =							new_transformers.models.auto.AutoConfig.from_pretrained(
                __lowerCamelCase    ,						return_unused_kwargs=__lowerCamelCase							)
            self.assertEqual(new_configuration.hidden_size    ,						2							)
            # This checks `_configuration_file` ia not kept in the kwargs by mistake.
            self.assertDictEqual(__lowerCamelCase    ,						{}							)

            # Testing an older version by monkey-patching the version in the module it's used.
            import transformers as old_transformers

            _SCREAMING_SNAKE_CASE       :	Dict						    =							"v3.0.0"
            _SCREAMING_SNAKE_CASE       :	List[str]						    =							old_transformers.models.auto.AutoConfig.from_pretrained(__lowerCamelCase							)
            self.assertEqual(old_configuration.hidden_size    ,						7_6_8							)