

"""simple docstring"""
import argparse
import json
import os
import sys
import tempfile
import unittest
from argparse import Namespace
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
from typing import List, Literal, Optional

import yaml

from transformers import HfArgumentParser, TrainingArguments
from transformers.hf_argparser import make_choice_type_function, string_to_bool


# Since Python 3.10, we can use the builtin `|` operator for Union types
# See PEP 604: https://peps.python.org/pep-0604
_A							=  sys.version_info >= (3, 10)




def 					a__						(						lowerCAmelCase=None			,	lowerCAmelCase=None    )	-> List[Any]:
      return field(default_factory=lambda: default			,	metadata=__A    )

@dataclass
class       lowerCamelCase	:


  '''simple docstring'''







  SCREAMING_SNAKE_CASE					      =  42
  SCREAMING_SNAKE_CASE					      =  42
  SCREAMING_SNAKE_CASE					      =  42
  SCREAMING_SNAKE_CASE					      =  42




@dataclass
class       lowerCamelCase	:


  '''simple docstring'''







  SCREAMING_SNAKE_CASE					      =  4_2
  SCREAMING_SNAKE_CASE					      =  field(default='toto'					,					metadata={'help': 'help message'}   )




@dataclass
class       lowerCamelCase	:


  '''simple docstring'''







  SCREAMING_SNAKE_CASE					      =  False
  SCREAMING_SNAKE_CASE					      =  True
  SCREAMING_SNAKE_CASE					      =  None




class       lowerCamelCase	(       lowerCAmelCase__   ):


  '''simple docstring'''







  SCREAMING_SNAKE_CASE					      =  'titi'
  SCREAMING_SNAKE_CASE					      =  'toto'




class       lowerCamelCase	(       lowerCAmelCase__   ):


  '''simple docstring'''







  SCREAMING_SNAKE_CASE					      =  'titi'
  SCREAMING_SNAKE_CASE					      =  'toto'
  SCREAMING_SNAKE_CASE					      =  4_2




@dataclass
class       lowerCamelCase	:


  '''simple docstring'''







  SCREAMING_SNAKE_CASE					      =  "toto"



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							List[Any]							=    BasicEnum(self.foo	)




@dataclass
class       lowerCamelCase	:


  '''simple docstring'''







  SCREAMING_SNAKE_CASE					      =  "toto"



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Optional[Any]							=    MixedTypeEnum(self.foo	)




@dataclass
class       lowerCamelCase	:


  '''simple docstring'''







  SCREAMING_SNAKE_CASE					      =  None
  SCREAMING_SNAKE_CASE					      =  field(default=lowerCAmelCase__					,					metadata={'help': 'help message'}   )
  SCREAMING_SNAKE_CASE					      =  None
  SCREAMING_SNAKE_CASE					      =  list_field(default=[]   )
  SCREAMING_SNAKE_CASE					      =  list_field(default=[]   )




@dataclass
class       lowerCamelCase	:


  '''simple docstring'''







  SCREAMING_SNAKE_CASE					      =  list_field(default=[]   )
  SCREAMING_SNAKE_CASE					      =  list_field(default=[1, 2, 3]   )
  SCREAMING_SNAKE_CASE					      =  list_field(default=['Hallo', 'Bonjour', 'Hello']   )
  SCREAMING_SNAKE_CASE					      =  list_field(default=[0.1, 0.2, 0.3]   )




@dataclass
class       lowerCamelCase	:


  '''simple docstring'''







  SCREAMING_SNAKE_CASE					      =  field()
  SCREAMING_SNAKE_CASE					      =  field()
  SCREAMING_SNAKE_CASE					      =  field()



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Dict							=    BasicEnum(self.required_enum	)




@dataclass
class       lowerCamelCase	:


  '''simple docstring'''







  SCREAMING_SNAKE_CASE					      =  42
  SCREAMING_SNAKE_CASE					      =  field()
  SCREAMING_SNAKE_CASE					      =  None
  SCREAMING_SNAKE_CASE					      =  field(default='toto'					,					metadata={'help': 'help message'}   )
  SCREAMING_SNAKE_CASE					      =  list_field(default=['Hallo', 'Bonjour', 'Hello']   )


if is_python_no_less_than_3_10:

    @dataclass
    class       lowerCamelCase	:


      '''simple docstring'''







      SCREAMING_SNAKE_CASE					      =  False
      SCREAMING_SNAKE_CASE					      =  True
      SCREAMING_SNAKE_CASE					      =  None




    @dataclass
    class       lowerCamelCase	:


      '''simple docstring'''







      SCREAMING_SNAKE_CASE					      =  None
      SCREAMING_SNAKE_CASE					      =  field(default=lowerCAmelCase__					,					metadata={'help': 'help message'}   )
      SCREAMING_SNAKE_CASE					      =  None
      SCREAMING_SNAKE_CASE					      =  list_field(default=[]   )
      SCREAMING_SNAKE_CASE					      =  list_field(default=[]   )





class       lowerCamelCase	(       unittest.TestCase   ):


  '''simple docstring'''







  def  _a      (self							,       _lowerCamelCase							,       _lowerCamelCase	):


        """simple docstring"""

        self.assertEqual(len(a._actions	)							,       len(b._actions	)	)
        for x, y in zip(a._actions							,       b._actions	):
              UpperCAmelCase__			:							Optional[Any]							=    {k: v for k, v in vars(_lowerCamelCase	).items() if k != """container"""}
              UpperCAmelCase__			:							str							=    {k: v for k, v in vars(_lowerCamelCase	).items() if k != """container"""}

              # Choices with mixed type have custom function as "type"
              # So we need to compare results directly for equality
              if xx.get("""choices"""							,       _lowerCamelCase	) and yy.get("""choices"""							,       _lowerCamelCase	):
                    for expected_choice in yy["choices"] + xx["choices"]:
                          self.assertEqual(xx["""type"""](_lowerCamelCase	)							,       yy["""type"""](_lowerCamelCase	)	)
                    del xx["type"], yy["type"]

              self.assertEqual(_lowerCamelCase							,       _lowerCamelCase	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Optional[Any]							=    HfArgumentParser(_lowerCamelCase	)

        UpperCAmelCase__			:							int							=    argparse.ArgumentParser()
        expected.add_argument("""--foo"""							,       type=_lowerCamelCase							,       required=_lowerCamelCase	)
        expected.add_argument("""--bar"""							,       type=_lowerCamelCase							,       required=_lowerCamelCase	)
        expected.add_argument("""--baz"""							,       type=_lowerCamelCase							,       required=_lowerCamelCase	)
        expected.add_argument("""--flag"""							,       type=_lowerCamelCase							,       default=_lowerCamelCase							,       const=_lowerCamelCase							,       nargs="""?"""	)
        self.argparsersEqual(_lowerCamelCase							,       _lowerCamelCase	)

        UpperCAmelCase__			:							Dict							=    ["""--foo""", """1""", """--baz""", """quux""", """--bar""", """0.5"""]
        ((UpperCAmelCase__       )					,		       )			:							Union[str, Any]							=    parser.parse_args_into_dataclasses(_lowerCamelCase							,       look_for_args_file=_lowerCamelCase	)
        self.assertFalse(example.flag	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Optional[int]							=    HfArgumentParser(_lowerCamelCase	)

        UpperCAmelCase__			:							str							=    argparse.ArgumentParser()
        expected.add_argument("""--foo"""							,       default=42							,       type=_lowerCamelCase	)
        expected.add_argument("""--baz"""							,       default="""toto"""							,       type=_lowerCamelCase							,       help="""help message"""	)
        self.argparsersEqual(_lowerCamelCase							,       _lowerCamelCase	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							List[str]							=    argparse.ArgumentParser()
        expected.add_argument("""--foo"""							,       type=_lowerCamelCase							,       default=_lowerCamelCase							,       const=_lowerCamelCase							,       nargs="""?"""	)
        expected.add_argument("""--baz"""							,       type=_lowerCamelCase							,       default=_lowerCamelCase							,       const=_lowerCamelCase							,       nargs="""?"""	)
        # A boolean no_* argument always has to come after its "default: True" regular counter-part
        # and its default must be set to False
        expected.add_argument("""--no_baz"""							,       action="""store_false"""							,       default=_lowerCamelCase							,       dest="""baz"""	)
        expected.add_argument("""--opt"""							,       type=_lowerCamelCase							,       default=_lowerCamelCase	)

        UpperCAmelCase__			:							List[str]							=    [WithDefaultBoolExample]
        if is_python_no_less_than_3_10:
              dataclass_types.append(_lowerCamelCase	)

        for dataclass_type in dataclass_types:
              UpperCAmelCase__			:							Optional[Any]							=    HfArgumentParser(_lowerCamelCase	)
              self.argparsersEqual(_lowerCamelCase							,       _lowerCamelCase	)

              UpperCAmelCase__			:							Union[str, Any]							=    parser.parse_args([]	)
              self.assertEqual(_lowerCamelCase							,       Namespace(foo=_lowerCamelCase							,       baz=_lowerCamelCase							,       opt=_lowerCamelCase	)	)

              UpperCAmelCase__			:							Tuple							=    parser.parse_args(["""--foo""", """--no_baz"""]	)
              self.assertEqual(_lowerCamelCase							,       Namespace(foo=_lowerCamelCase							,       baz=_lowerCamelCase							,       opt=_lowerCamelCase	)	)

              UpperCAmelCase__			:							Any							=    parser.parse_args(["""--foo""", """--baz"""]	)
              self.assertEqual(_lowerCamelCase							,       Namespace(foo=_lowerCamelCase							,       baz=_lowerCamelCase							,       opt=_lowerCamelCase	)	)

              UpperCAmelCase__			:							List[Any]							=    parser.parse_args(["""--foo""", """True""", """--baz""", """True""", """--opt""", """True"""]	)
              self.assertEqual(_lowerCamelCase							,       Namespace(foo=_lowerCamelCase							,       baz=_lowerCamelCase							,       opt=_lowerCamelCase	)	)

              UpperCAmelCase__			:							Any							=    parser.parse_args(["""--foo""", """False""", """--baz""", """False""", """--opt""", """False"""]	)
              self.assertEqual(_lowerCamelCase							,       Namespace(foo=_lowerCamelCase							,       baz=_lowerCamelCase							,       opt=_lowerCamelCase	)	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Dict							=    HfArgumentParser(_lowerCamelCase	)

        UpperCAmelCase__			:							List[str]							=    argparse.ArgumentParser()
        expected.add_argument(
            """--foo"""							,       default="""toto"""							,       choices=["""titi""", """toto""", 42]							,       type=make_choice_type_function(["""titi""", """toto""", 42]	)							,       )
        self.argparsersEqual(_lowerCamelCase							,       _lowerCamelCase	)

        UpperCAmelCase__			:							Any							=    parser.parse_args([]	)
        self.assertEqual(args.foo							,       """toto"""	)
        UpperCAmelCase__			:							Tuple							=    parser.parse_args_into_dataclasses([]	)[0]
        self.assertEqual(enum_ex.foo							,       MixedTypeEnum.toto	)

        UpperCAmelCase__			:							int							=    parser.parse_args(["""--foo""", """titi"""]	)
        self.assertEqual(args.foo							,       """titi"""	)
        UpperCAmelCase__			:							List[str]							=    parser.parse_args_into_dataclasses(["""--foo""", """titi"""]	)[0]
        self.assertEqual(enum_ex.foo							,       MixedTypeEnum.titi	)

        UpperCAmelCase__			:							Optional[int]							=    parser.parse_args(["""--foo""", """42"""]	)
        self.assertEqual(args.foo							,       42	)
        UpperCAmelCase__			:							str							=    parser.parse_args_into_dataclasses(["""--foo""", """42"""]	)[0]
        self.assertEqual(enum_ex.foo							,       MixedTypeEnum.fourtytwo	)



  def  _a      (self	):


        """simple docstring"""

        @dataclass
        class       lowerCamelCase	:


          '''simple docstring'''







          SCREAMING_SNAKE_CASE					      =  "toto"




        UpperCAmelCase__			:							Any							=    HfArgumentParser(_lowerCamelCase	)

        UpperCAmelCase__			:							List[Any]							=    argparse.ArgumentParser()
        expected.add_argument(
            """--foo"""							,       default="""toto"""							,       choices=("""titi""", """toto""", 42)							,       type=make_choice_type_function(["""titi""", """toto""", 42]	)							,       )
        self.argparsersEqual(_lowerCamelCase							,       _lowerCamelCase	)

        UpperCAmelCase__			:							Union[str, Any]							=    parser.parse_args([]	)
        self.assertEqual(args.foo							,       """toto"""	)

        UpperCAmelCase__			:							List[Any]							=    parser.parse_args(["""--foo""", """titi"""]	)
        self.assertEqual(args.foo							,       """titi"""	)

        UpperCAmelCase__			:							Union[str, Any]							=    parser.parse_args(["""--foo""", """42"""]	)
        self.assertEqual(args.foo							,       42	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							List[str]							=    HfArgumentParser(_lowerCamelCase	)

        UpperCAmelCase__			:							str							=    argparse.ArgumentParser()
        expected.add_argument("""--foo_int"""							,       nargs="""+"""							,       default=[]							,       type=_lowerCamelCase	)
        expected.add_argument("""--bar_int"""							,       nargs="""+"""							,       default=[1, 2, 3]							,       type=_lowerCamelCase	)
        expected.add_argument("""--foo_str"""							,       nargs="""+"""							,       default=["""Hallo""", """Bonjour""", """Hello"""]							,       type=_lowerCamelCase	)
        expected.add_argument("""--foo_float"""							,       nargs="""+"""							,       default=[0.1, 0.2, 0.3]							,       type=_lowerCamelCase	)

        self.argparsersEqual(_lowerCamelCase							,       _lowerCamelCase	)

        UpperCAmelCase__			:							List[Any]							=    parser.parse_args([]	)
        self.assertEqual(
            _lowerCamelCase							,       Namespace(foo_int=[]							,       bar_int=[1, 2, 3]							,       foo_str=["""Hallo""", """Bonjour""", """Hello"""]							,       foo_float=[0.1, 0.2, 0.3]	)							,       )

        UpperCAmelCase__			:							Any							=    parser.parse_args("""--foo_int 1 --bar_int 2 3 --foo_str a b c --foo_float 0.1 0.7""".split()	)
        self.assertEqual(_lowerCamelCase							,       Namespace(foo_int=[1]							,       bar_int=[2, 3]							,       foo_str=["""a""", """b""", """c"""]							,       foo_float=[0.1, 0.7]	)	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							int							=    argparse.ArgumentParser()
        expected.add_argument("""--foo"""							,       default=_lowerCamelCase							,       type=_lowerCamelCase	)
        expected.add_argument("""--bar"""							,       default=_lowerCamelCase							,       type=_lowerCamelCase							,       help="""help message"""	)
        expected.add_argument("""--baz"""							,       default=_lowerCamelCase							,       type=_lowerCamelCase	)
        expected.add_argument("""--ces"""							,       nargs="""+"""							,       default=[]							,       type=_lowerCamelCase	)
        expected.add_argument("""--des"""							,       nargs="""+"""							,       default=[]							,       type=_lowerCamelCase	)

        UpperCAmelCase__			:							Dict							=    [OptionalExample]
        if is_python_no_less_than_3_10:
              dataclass_types.append(_lowerCamelCase	)

        for dataclass_type in dataclass_types:
              UpperCAmelCase__			:							Any							=    HfArgumentParser(_lowerCamelCase	)

              self.argparsersEqual(_lowerCamelCase							,       _lowerCamelCase	)

              UpperCAmelCase__			:							Union[str, Any]							=    parser.parse_args([]	)
              self.assertEqual(_lowerCamelCase							,       Namespace(foo=_lowerCamelCase							,       bar=_lowerCamelCase							,       baz=_lowerCamelCase							,       ces=[]							,       des=[]	)	)

              UpperCAmelCase__			:							Tuple							=    parser.parse_args("""--foo 12 --bar 3.14 --baz 42 --ces a b c --des 1 2 3""".split()	)
              self.assertEqual(_lowerCamelCase							,       Namespace(foo=12							,       bar=3.14							,       baz="""42"""							,       ces=["""a""", """b""", """c"""]							,       des=[1, 2, 3]	)	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Any							=    HfArgumentParser(_lowerCamelCase	)

        UpperCAmelCase__			:							int							=    argparse.ArgumentParser()
        expected.add_argument("""--required_list"""							,       nargs="""+"""							,       type=_lowerCamelCase							,       required=_lowerCamelCase	)
        expected.add_argument("""--required_str"""							,       type=_lowerCamelCase							,       required=_lowerCamelCase	)
        expected.add_argument(
            """--required_enum"""							,       type=make_choice_type_function(["""titi""", """toto"""]	)							,       choices=["""titi""", """toto"""]							,       required=_lowerCamelCase							,       )
        self.argparsersEqual(_lowerCamelCase							,       _lowerCamelCase	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Union[str, Any]							=    HfArgumentParser(_lowerCamelCase	)

        UpperCAmelCase__			:							Union[str, Any]							=    argparse.ArgumentParser()
        expected.add_argument("""--foo"""							,       type=_lowerCamelCase							,       required=_lowerCamelCase	)
        expected.add_argument(
            """--required_enum"""							,       type=make_choice_type_function(["""titi""", """toto"""]	)							,       choices=["""titi""", """toto"""]							,       required=_lowerCamelCase							,       )
        expected.add_argument("""--opt"""							,       type=_lowerCamelCase							,       default=_lowerCamelCase	)
        expected.add_argument("""--baz"""							,       default="""toto"""							,       type=_lowerCamelCase							,       help="""help message"""	)
        expected.add_argument("""--foo_str"""							,       nargs="""+"""							,       default=["""Hallo""", """Bonjour""", """Hello"""]							,       type=_lowerCamelCase	)
        self.argparsersEqual(_lowerCamelCase							,       _lowerCamelCase	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Tuple							=    HfArgumentParser(_lowerCamelCase	)

        UpperCAmelCase__			:							Any							=    {
            """foo""": 12,
            """bar""": 3.14,
            """baz""": """42""",
            """flag""": True,
        }

        UpperCAmelCase__			:							Optional[Any]							=    parser.parse_dict(_lowerCamelCase	)[0]
        UpperCAmelCase__			:							str							=    BasicExample(**_lowerCamelCase	)
        self.assertEqual(_lowerCamelCase							,       _lowerCamelCase	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Optional[int]							=    HfArgumentParser(_lowerCamelCase	)

        UpperCAmelCase__			:							Union[str, Any]							=    {
            """foo""": 12,
            """bar""": 3.14,
            """baz""": """42""",
            """flag""": True,
            """extra""": 42,
        }

        self.assertRaises(_lowerCamelCase							,       parser.parse_dict							,       _lowerCamelCase							,       allow_extra_keys=_lowerCamelCase	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Optional[Any]							=    HfArgumentParser(_lowerCamelCase	)

        UpperCAmelCase__			:							str							=    {
            """foo""": 12,
            """bar""": 3.14,
            """baz""": """42""",
            """flag""": True,
        }
        with tempfile.TemporaryDirectory() as tmp_dir:
              UpperCAmelCase__			:							Optional[Any]							=    os.path.join(_lowerCamelCase							,       """temp_json"""	)
              os.mkdir(_lowerCamelCase	)
              with open(temp_local_path + """.json"""							,       """w+"""	) as f:
                    json.dump(_lowerCamelCase							,       _lowerCamelCase	)
              UpperCAmelCase__			:							Any							=    parser.parse_yaml_file(Path(temp_local_path + """.json"""	)	)[0]

        UpperCAmelCase__			:							Tuple							=    BasicExample(**_lowerCamelCase	)
        self.assertEqual(_lowerCamelCase							,       _lowerCamelCase	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Tuple							=    HfArgumentParser(_lowerCamelCase	)

        UpperCAmelCase__			:							Union[str, Any]							=    {
            """foo""": 12,
            """bar""": 3.14,
            """baz""": """42""",
            """flag""": True,
        }
        with tempfile.TemporaryDirectory() as tmp_dir:
              UpperCAmelCase__			:							Any							=    os.path.join(_lowerCamelCase							,       """temp_yaml"""	)
              os.mkdir(_lowerCamelCase	)
              with open(temp_local_path + """.yaml"""							,       """w+"""	) as f:
                    yaml.dump(_lowerCamelCase							,       _lowerCamelCase	)
              UpperCAmelCase__			:							Union[str, Any]							=    parser.parse_yaml_file(Path(temp_local_path + """.yaml"""	)	)[0]
        UpperCAmelCase__			:							Union[str, Any]							=    BasicExample(**_lowerCamelCase	)
        self.assertEqual(_lowerCamelCase							,       _lowerCamelCase	)




  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Optional[Any]							=    HfArgumentParser(_lowerCamelCase	)
        self.assertIsNotNone(_lowerCamelCase	)






'''simple docstring'''





import argparse
import re

from flax.traverse_util import flatten_dict, unflatten_dict
from tax import checkpoints

from transformers import SwitchTransformersConfig, SwitchTransformersForConditionalGeneration
from transformers.modeling_flax_pytorch_utils import load_flax_weights_in_pytorch_model
from transformers.utils import logging


logging.set_verbosity_info()


# should not include what is already done by the `from_pt` argument
lowercase_									=    {
    "/attention/": "/0/SelfAttention/",
    "/self_attention/": "/0/SelfAttention/",
    "/encoder_decoder_attention/": "/1/EncDecAttention/",
    "value": "v",
    "query": "q",
    "key": "k",
    "out": "o",
    "pre_self_attention_layer_norm": "0/layer_norm",
    "pre_cross_attention_layer_norm": "1/layer_norm",
    "pre_attention_layer_norm": "0/layer_norm",  # previously 1, but seems wrong
    "token_embedder": "shared",
    "encoder_norm": "final_layer_norm",
    "decoder_norm": "final_layer_norm",
    "relpos_bias/rel_embedding": "block/0/layer/0/SelfAttention/relative_attention_bias/weight",
    "router/router_weights/w/": "router/classifier/",
    "roer/roer_weights/w/": "router/classifier/",
    "logits_dense": "lm_head",
}




def lowerCAmelCase    (__A):



     """simple docstring"""



     _a           =    list(s_dict.keys())
     for key in keys:
          _a           =    r'''.*/layers_(\d+)'''
          _a           =    key
          if re.match(__A    ,      __A):
               _a           =    re.sub(r'''layers_(\d+)'''    ,      r'''block/\1/layer'''    ,      __A)

          _a           =    r'''(encoder|decoder)\/'''

          if re.match(__A    ,      __A):
               _a           =    re.match(__A    ,      __A).groups()
               if groups[0] == "encoder":
                    _a           =    re.sub(r'''/mlp/'''    ,      r'''/1/mlp/'''    ,      __A)
                    _a           =    re.sub(r'''/pre_mlp_layer_norm/'''    ,      r'''/1/layer_norm/'''    ,      __A)

               elif groups[0] == "decoder":
                    _a           =    re.sub(r'''/mlp/'''    ,      r'''/2/mlp/'''    ,      __A)
                    _a           =    re.sub(r'''/pre_mlp_layer_norm/'''    ,      r'''/2/layer_norm/'''    ,      __A)

        # 2. Convert other classic mappings
          for old_key, temp_key in MOE_LAYER_NAME_MAPPING.items():
               if old_key in new_key:
                    _a           =    new_key.replace(__A    ,      __A)

          print(F'''{key} -> {new_key}''')
          _a           =    s_dict.pop(__A)

     if "encoder/block/0/layer/0/SelfAttention/relative_attention_bias/weight" in s_dict:
          _a           =    s_dict[
              '''encoder/block/0/layer/0/SelfAttention/relative_attention_bias/weight'''
          ].T
     if "decoder/block/0/layer/0/SelfAttention/relative_attention_bias/weight" in s_dict:
          _a           =    s_dict[
              '''decoder/block/0/layer/0/SelfAttention/relative_attention_bias/weight'''
          ].T

     # 3. Take extra care of the EXPERTS layer
     for key in list(s_dict.keys()):
          if "expert" in key:
               _a           =    s_dict[key].shape[0]
               _a           =    s_dict[key]
               for idx in range(__A):
                    _a           =    expert_weihts[idx]
                    print(F'''{key} -> {key.replace('expert/'    ,      'nested fstring')}''')

               s_dict.pop(__A)

     return s_dict


lowercase_									=    {
    "NUM_ENCODER_LAYERS": "num_layers",
    "NUM_DECODER_LAYERS": "num_decoder_layers",
    "NUM_HEADS": "num_heads",
    "HEAD_DIM": "d_kv",
    "EMBED_DIM": "d_model",
    "MLP_DIM": "d_ff",
    "NUM_SELECTED_EXPERTS": "num_selected_experts",
    "NUM_ENCODER_SPARSE_LAYERS": "num_sparse_encoder_layers",
    "NUM_DECODER_SPARSE_LAYERS": "num_sparse_decoder_layers",
    "dense.MlpBlock.activations": "feed_forward_proj",
}




def lowerCAmelCase    (__A    ,      __A):



     """simple docstring"""



     import regex as re

     with open(__A    ,      '''r''') as f:
          _a           =    f.read()

     _a           =    re.findall(r'''(.*) = ([0-9.]*)'''    ,      __A)
     _a           =    {}
     for param, value in regex_match:
          if param in GIN_TO_CONFIG_MAPPING and value != "":
               _a           =    float(__A) if '''.''' in value else int(__A)

     _a           =    re.findall(r'''(.*activations) = \(\'(.*)\',\)'''    ,      __A)[0]
     _a           =    str(activation[1])

     _a           =    num_experts
     _a           =    SwitchTransformersConfig(**__A)
     return config




def lowerCAmelCase    (__A    ,      __A    ,      __A=None    ,      __A="./"    ,      __A=8):



     """simple docstring"""



     print(F'''Loading flax weights from : {flax_checkpoint_path}''')
     _a           =    checkpoints.load_tax_checkpoint(__A)

     if gin_file is not None:
          _a           =    convert_gin_to_config(__A    ,      __A)
     else:
          _a           =    SwitchTransformersConfig.from_pretrained(__A)

     _a           =    SwitchTransformersForConditionalGeneration(__A)

     _a           =    flax_params['''target''']
     _a           =    flatten_dict(__A    ,      sep='''/''')
     _a           =    rename_keys(__A)
     _a           =    unflatten_dict(__A    ,      sep='''/''')

     # Load the flax params in the PT model
     load_flax_weights_in_pytorch_model(__A    ,      __A)

     print(F'''Save PyTorch model to {pytorch_dump_path}''')
     pt_model.save_pretrained(__A)


if __name__ == "__main__":
  lowercase_									=    argparse.ArgumentParser()
  # Required parameters
  parser.add_argument(
      "--switch_t5x_checkpoint_path",
      default=None,
      type=str,
      required=True,
      help=(
          "The config json file corresponding to the pre-trained SwitchTransformers model. \nThis specifies the"
          " model architecture. If not provided, a `gin_file` has to be provided."
      ),
  )
  parser.add_argument(
      "--gin_file",
      default=None,
      type=str,
      required=False,
      help="Path to the gin config file. If not provided, a `config_file` has to be passed   ",
  )
  parser.add_argument(
      "--config_name", default=None, type=str, required=False, help="Config name of SwitchTransformers model."
  )
  parser.add_argument(
      "--pytorch_dump_folder_path", default=None, type=str, required=True, help="Path to the output pytorch model."
  )
  parser.add_argument("--num_experts", default=8, type=int, required=False, help="Number of experts")
  lowercase_									=    parser.parse_args()
  convert_flax_checkpoint_to_pytorch(
      args.switch_tax_checkpoint_path,
      args.config_name,
      args.gin_file,
      args.pytorch_dump_folder_path,
      args.num_experts,
  )



