




import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class    __lowerCAmelCase       (							lowerCAmelCase      , unittest.TestCase):
       _a 					=						MgpstrTokenizer
       _a 					=						False
       _a 					=						{}
       _a 					=						False






       def 					SCREAMING_SNAKE_CASE    (   self:					Tuple				):
         super().setUp()

         # fmt: off
         lowercase    :List[Any]      	=						["[GO]", "[s]", "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z"]
         # fmt: on
         lowercase    :Tuple      	=						dict(zip(_lowerCAmelCase       ,					range(len(_lowerCAmelCase				)				)				)				)

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






       def 					SCREAMING_SNAKE_CASE    (   self:					Dict       ,					**_lowerCAmelCase:					Optional[Any]				):
         return MgpstrTokenizer.from_pretrained(self.tmpdirname       ,					**_lowerCAmelCase				)






       def 					SCREAMING_SNAKE_CASE    (   self:					Any       ,					_lowerCAmelCase:					Any				):
         lowercase    :Any      	=						"tester"
         lowercase    :Dict      	=						"tester"
         return input_text, output_text






       @unittest.skip("MGP-STR always lower cases letters."				)
       def 					SCREAMING_SNAKE_CASE    (   self:					Union[str, Any]				):
         pass






       def 					SCREAMING_SNAKE_CASE    (   self:					Optional[Any]				):
         lowercase    :str      	=						self.get_tokenizers(do_lower_case=_lowerCAmelCase				)
         for tokenizer in tokenizers:
           with self.subTest(F"{tokenizer.__class__.__name__}"				):
             lowercase    :str      	=						"[SPECIAL_TOKEN]"

             tokenizer.add_special_tokens({"cls_token": special_token}				)
             lowercase    :Optional[Any]      	=						tokenizer.encode([special_token]       ,					add_special_tokens=_lowerCAmelCase				)
             self.assertEqual(len(_lowerCAmelCase				)       ,					1				)

             lowercase    :Any      	=						tokenizer.decode(_lowerCAmelCase       ,					skip_special_tokens=_lowerCAmelCase				)
             self.assertTrue(special_token not in decoded				)






       def 					SCREAMING_SNAKE_CASE    (   self:					Optional[Any]				):
         lowercase    :List[Any]      	=						self.get_tokenizers()
         for tokenizer in tokenizers:
           with self.subTest(F"{tokenizer.__class__.__name__}"				):
             lowercase	,    lowercase    :int      	=						self.get_input_output_texts(_lowerCAmelCase				)

             lowercase    :Optional[Any]      	=						tokenizer.tokenize(_lowerCAmelCase				)
             lowercase    :int      	=						tokenizer.convert_tokens_to_ids(_lowerCAmelCase				)
             lowercase    :Union[str, Any]      	=						tokenizer.encode(_lowerCAmelCase       ,					add_special_tokens=_lowerCAmelCase				)
             self.assertListEqual(_lowerCAmelCase       ,					_lowerCAmelCase				)

             lowercase    :Optional[Any]      	=						tokenizer.convert_ids_to_tokens(_lowerCAmelCase				)
             self.assertNotEqual(len(_lowerCAmelCase				)       ,					0				)
             lowercase    :Any      	=						tokenizer.decode(_lowerCAmelCase				)
             self.assertIsInstance(_lowerCAmelCase       ,					_lowerCAmelCase				)

             self.assertEqual(text_a.replace(" "       ,					""				)       ,					_lowerCAmelCase				)






       @unittest.skip("MGP-STR tokenizer only handles one sequence."				)
       def 					SCREAMING_SNAKE_CASE    (   self:					List[Any]				):
         pass






       @unittest.skip("inputs cannot be pretokenized in MgpstrTokenizer"				)
       def 					SCREAMING_SNAKE_CASE    (   self:					List[str]				):
         pass









import argparse
import shlex

import runhouse as rh


if __name__ == "__main__":
     # Refer to https://runhouse-docs.readthedocs-hosted.com/en/latest/api/python/cluster.html#hardware-setup for cloud access
     # setup instructions, if using on-demand hardware

     # If user passes --user <user> --host <host> --key_path <key_path> <example> <args>, fill them in as BYO cluster
     # If user passes --instance <instance> --provider <provider> <example> <args>, fill them in as on-demand cluster
     # Throw an error if user passes both BYO and on-demand cluster args
     # Otherwise, use default values
     _UpperCAmelCase	:						Optional[Any]			=     argparse.ArgumentParser()
     parser.add_argument("--user", type=str, default="ubuntu")
     parser.add_argument("--host", type=str, default="localhost")
     parser.add_argument("--key_path", type=str, default=None)
     parser.add_argument("--instance", type=str, default="V100:1")
     parser.add_argument("--provider", type=str, default="cheapest")
     parser.add_argument("--use_spot", type=bool, default=False)
     parser.add_argument("--example", type=str, default="pytorch/text-generation/run_generation.py")
     _UpperCAmelCase			,			_UpperCAmelCase	:						Dict			=     parser.parse_known_args()
     if args.host != "localhost":
          if args.instance != "V100:1" or args.provider != "cheapest":
               raise ValueError("Cannot specify both BYO and on-demand cluster args")
          _UpperCAmelCase	:						List[Any]			=     rh.cluster(
              name="rh-cluster", ips=[args.host], ssh_creds={"ssh_user": args.user, "ssh_private_key": args.key_path}
          )
     else:
          _UpperCAmelCase	:						Tuple			=     rh.cluster(
              name="rh-cluster", instance_type=args.instance, provider=args.provider, use_spot=args.use_spot
          )
     _UpperCAmelCase	:						Any			=     args.example.rsplit("/", 1)[0]

     # Set up remote environment
     cluster.install_packages(["pip:./"])  # Installs transformers from local source
     # Note transformers is copied into the home directory on the remote machine, so we can install from there
     cluster.run([f'''pip install -r transformers/examples/{example_dir}/requirements.txt'''])
     cluster.run(["pip install torch --upgrade --extra-index-url https://download.pytorch.org/whl/cu117"])

     # Run example. You can bypass the CLI wrapper and paste your own code here.
     cluster.run([f'''python transformers/examples/{args.example} {" ".join(shlex.quote(arg) for arg in unknown)}'''])

     # Alternatively, we can just import and run a training function (especially if there's no wrapper CLI):
     # from my_script... import train
     # reqs = ['pip:./', 'torch', 'datasets', 'accelerate', 'evaluate', 'tqdm', 'scipy', 'scikit-learn', 'tensorboard']
     # launch_train_gpu = rh.function(fn=train,
     #                                system=gpu,
     #                                reqs=reqs,
     #                                name='train_bert_glue')
     #
     # We can pass in arguments just like we would to a function:
     # launch_train_gpu(num_epochs = 3, lr = 2e-5, seed = 42, batch_size = 16
     #                  stream_logs=True)



