




'''simple docstring'''





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    :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 re

import jax.numpy as jnp
from flax.traverse_util import flatten_dict, unflatten_dict
from jax.random import PRNGKey

from ..utils import logging


_UpperCAmelCase	:						List[Any]			=     logging.get_logger(__name__)



def       UpperCAmelCase__  (     lowerCamelCase   ):
  lowercase    :int      	=						r"\w+[.]\d+"
  lowercase    :Tuple      	=						re.findall(lowerCamelCase,			lowerCamelCase   )
  for pat in pats:
    lowercase    :List[str]      	=						key.replace(lowerCamelCase,			"_".join(pat.split("."   )   )   )
  return key



def       UpperCAmelCase__  (     lowerCamelCase,			lowerCamelCase,			lowerCamelCase   ):
  lowercase    :List[str]      	=						pt_tuple_key[:-1] + ("scale",)
  if (
      any("norm" in str_ for str_ in pt_tuple_key   )
      and (pt_tuple_key[-1] == "bias")
      and (pt_tuple_key[:-1] + ("bias",) not in random_flax_state_dict)
      and (pt_tuple_key[:-1] + ("scale",) in random_flax_state_dict)
  ):
    lowercase    :Optional[int]      	=						pt_tuple_key[:-1] + ("scale",)
    return renamed_pt_tuple_key, pt_tensor
  elif pt_tuple_key[-1] in ["weight", "gamma"] and pt_tuple_key[:-1] + ("scale",) in random_flax_state_dict:
    lowercase    :int      	=						pt_tuple_key[:-1] + ("scale",)
    return renamed_pt_tuple_key, pt_tensor

  # embedding
  if pt_tuple_key[-1] == "weight" and pt_tuple_key[:-1] + ("embedding",) in random_flax_state_dict:
    lowercase    :List[str]      	=						pt_tuple_key[:-1] + ("embedding",)
    return renamed_pt_tuple_key, pt_tensor

  # conv layer
  lowercase    :Union[str, Any]      	=						pt_tuple_key[:-1] + ("kernel",)
  if pt_tuple_key[-1] == "weight" and pt_tensor.ndim == 4:
    lowercase    :List[Any]      	=						pt_tensor.transpose(2,			3,			1,			0   )
    return renamed_pt_tuple_key, pt_tensor

  # linear layer
  lowercase    :Optional[Any]      	=						pt_tuple_key[:-1] + ("kernel",)
  if pt_tuple_key[-1] == "weight":
    lowercase    :Tuple      	=						pt_tensor.T
    return renamed_pt_tuple_key, pt_tensor

  # old PyTorch layer norm weight
  lowercase    :Tuple      	=						pt_tuple_key[:-1] + ("weight",)
  if pt_tuple_key[-1] == "gamma":
    return renamed_pt_tuple_key, pt_tensor

  # old PyTorch layer norm bias
  lowercase    :int      	=						pt_tuple_key[:-1] + ("bias",)
  if pt_tuple_key[-1] == "beta":
    return renamed_pt_tuple_key, pt_tensor

  return pt_tuple_key, pt_tensor







def       UpperCAmelCase__  (     lowerCamelCase,			lowerCamelCase,			lowerCamelCase=42   ):
  # Step 1: Convert pytorch tensor to numpy
  lowercase    :Optional[int]      	=						{k: v.numpy() for k, v in pt_state_dict.items()}

  # Step 2: Since the model is stateless, get random Flax params
  lowercase    :str      	=						flax_model.init_weights(PRNGKey(lowerCamelCase   )   )

  lowercase    :Tuple      	=						flatten_dict(lowerCamelCase   )
  lowercase    :Optional[Any]      	=						{}

  # Need to change some parameters name to match Flax names
  for pt_key, pt_tensor in pt_state_dict.items():
    lowercase    :List[Any]      	=						rename_key(lowerCamelCase   )
    lowercase    :List[Any]      	=						tuple(renamed_pt_key.split("."   )   )

    # Correctly rename weight parameters
    lowercase	,    lowercase    :List[str]      	=						rename_key_and_reshape_tensor(lowerCamelCase,			lowerCamelCase,			lowerCamelCase   )

    if flax_key in random_flax_state_dict:
      if flax_tensor.shape != random_flax_state_dict[flax_key].shape:
        raise ValueError(
            F"PyTorch checkpoint seems to be incorrect. Weight {pt_key} was expected to be of shape "
            F"{random_flax_state_dict[flax_key].shape}, but is {flax_tensor.shape}."   )

        # also add unexpected weight so that warning is thrown
    lowercase    :List[str]      	=						jnp.asarray(lowerCamelCase   )

  return unflatten_dict(lowerCamelCase   )



