
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   UpperCamelCase_      (      UpperCAmelCase__		,    unittest.TestCase		):







						'''simple docstring'''



						UpperCamelCase      :  Any				   =					CodeGenTokenizer
						UpperCamelCase      :  Union[str, Any]				   =					CodeGenTokenizerFast
						UpperCamelCase      :  Tuple				   =					True
						UpperCamelCase      :  Tuple				   =					{'''add_prefix_space''': True}
						UpperCamelCase      :  str				   =					False





						def        SCREAMING_SNAKE_CASE(			self							:Any     )  ->Any:
										super().setUp()

										# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
										lowercase         =      [
										    "l",
										    "o",
										    "w",
										    "e",
										    "r",
										    "s",
										    "t",
										    "i",
										    "d",
										    "n",
										    "\u0120",
										    "\u0120l",
										    "\u0120n",
										    "\u0120lo",
										    "\u0120low",
										    "er",
										    "\u0120lowest",
										    "\u0120newer",
										    "\u0120wider",
										    "<unk>",
										    "<|endoftext|>",
										]
										lowercase         =      dict(zip(__lowercase		,    range(len(__lowercase     )     )     )     )
										lowercase         =      ["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
										lowercase         =      {"unk_token": "<unk>"}

										lowercase         =      os.path.join(self.tmpdirname		,    VOCAB_FILES_NAMES["vocab_file"]     )
										lowercase         =      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        SCREAMING_SNAKE_CASE(			self							:Tuple		,    **lowerCAmelCase__							:Any     )  ->List[str]:
										kwargs.update(self.special_tokens_map     )
										return CodeGenTokenizer.from_pretrained(self.tmpdirname		,    **__lowercase     )





						def        SCREAMING_SNAKE_CASE(			self							:Tuple		,    **lowerCAmelCase__							:int     )  ->List[str]:
										kwargs.update(self.special_tokens_map     )
										return CodeGenTokenizerFast.from_pretrained(self.tmpdirname		,    **__lowercase     )





						def        SCREAMING_SNAKE_CASE(			self							:Optional[int]		,    lowerCAmelCase__							:str     )  ->str:
										lowercase         =      "lower newer"
										lowercase         =      "lower newer"
										return input_text, output_text





						def        SCREAMING_SNAKE_CASE(			self							:Optional[Any]     )  ->Any:
										lowercase         =      CodeGenTokenizer(self.vocab_file		,    self.merges_file		,    **self.special_tokens_map     )
										lowercase         =      "lower newer"
										lowercase         =      ["\u0120low", "er", "\u0120", "n", "e", "w", "er"]
										lowercase         =      tokenizer.tokenize(__lowercase		,    add_prefix_space=__lowercase     )
										self.assertListEqual(__lowercase		,    __lowercase     )

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





						def        SCREAMING_SNAKE_CASE(			self							:Any     )  ->Tuple:






										if not self.test_rust_tokenizer:
														return

										lowercase         =      self.get_tokenizer()
										lowercase         =      self.get_rust_tokenizer(add_prefix_space=__lowercase     )

										lowercase         =      "lower newer"

										# Testing tokenization
										lowercase         =      tokenizer.tokenize(__lowercase		,    add_prefix_space=__lowercase     )
										lowercase         =      rust_tokenizer.tokenize(__lowercase     )
										self.assertListEqual(__lowercase		,    __lowercase     )

										# Testing conversion to ids without special tokens
										lowercase         =      tokenizer.encode(__lowercase		,    add_special_tokens=__lowercase		,    add_prefix_space=__lowercase     )
										lowercase         =      rust_tokenizer.encode(__lowercase		,    add_special_tokens=__lowercase     )
										self.assertListEqual(__lowercase		,    __lowercase     )

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

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





						def        SCREAMING_SNAKE_CASE(			self							:Any		,    *lowerCAmelCase__							:List[str]		,    **lowerCAmelCase__							:Optional[Any]     )  ->List[str]:
										pass





						def        SCREAMING_SNAKE_CASE(			self							:Any		,    lowerCAmelCase__							:List[str]=15     )  ->Optional[int]:






										for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
														with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''     ):
																		lowercase         =      self.rust_tokenizer_class.from_pretrained(__lowercase		,    **__lowercase     )

																		# Simple input
																		lowercase         =      "This is a simple input"
																		lowercase         =      ["This is a simple input 1", "This is a simple input 2"]
																		lowercase         =      ("This is a simple input", "This is a pair")
																		lowercase         =      [
																		    ("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        SCREAMING_SNAKE_CASE(			self							:Any     )  ->List[Any]:
										lowercase         =      CodeGenTokenizer.from_pretrained(self.tmpdirname		,    pad_token="<pad>"     )

										# Simple input
										lowercase         =      "This is a simple input"
										lowercase         =      ["This is a simple input looooooooong", "This is a simple input"]
										lowercase         =      ("This is a simple input", "This is a pair")
										lowercase         =      [
										    ("This is a simple input loooooong", "This is a simple input"),
										    ("This is a simple pair loooooong", "This is a simple pair"),
										]

										lowercase         =      tokenizer.pad_token_id

										lowercase         =      tokenizer(__lowercase		,    padding="max_length"		,    max_length=30		,    return_tensors="np"     )
										lowercase         =      tokenizer(__lowercase		,    padding=__lowercase		,    truncate=__lowercase		,    return_tensors="np"     )
										lowercase         =      tokenizer(*__lowercase		,    padding="max_length"		,    max_length=60		,    return_tensors="np"     )
										lowercase         =      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        SCREAMING_SNAKE_CASE(			self							:List[str]     )  ->str:
										lowercase         =      "$$$"
										lowercase         =      CodeGenTokenizer.from_pretrained(self.tmpdirname		,    bos_token=__lowercase		,    add_bos_token=__lowercase     )

										lowercase         =      "This is a simple input"
										lowercase         =      ["This is a simple input 1", "This is a simple input 2"]

										lowercase         =      tokenizer.bos_token_id

										lowercase         =      tokenizer(__lowercase     )
										lowercase         =      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     )     )

										lowercase         =      tokenizer.decode(out_s.input_ids     )
										lowercase         =      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        SCREAMING_SNAKE_CASE(			self							:Union[str, Any]     )  ->Any:
										lowercase         =      CodeGenTokenizer.from_pretrained("Salesforce/codegen-350M-mono"     )

										lowercase         =      "\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#"
										lowercase         =      "\nif len_a > len_b:      result = a\nelse:      result = b"

										lowercase         =      tokenizer.encode(__lowercase     )
										lowercase         =      ["^#", re.escape("<|endoftext|>"     ), "^'''", "^\"\"\"", "\n\n\n"]
										lowercase         =      tokenizer.decode(__lowercase		,    truncate_before_pattern=__lowercase     )
										self.assertEqual(__lowercase		,    __lowercase     )





						def        SCREAMING_SNAKE_CASE(			self							:List[Any]     )  ->Union[str, Any]:
										pass






import argparse

import torch

from transformers import MobileBertConfig, MobileBertForPreTraining, load_tf_weights_in_mobilebert
from transformers.utils import logging


logging.set_verbosity_info()


def 		lowerCamelCase__       (						_A	,      _A	,      _A				):







	'''simple docstring'''





	snake_case_						       =	MobileBertConfig.from_json_file(_A				)
	print(f"Building PyTorch model from configuration: {config}"				)
	snake_case_						       =	MobileBertForPreTraining(_A				)
	# Load weights from tf checkpoint
	snake_case_						       =	load_tf_weights_in_mobilebert(_A	,      _A	,      _A				)
	# Save pytorch-model
	print(f"Save PyTorch model to {pytorch_dump_path}"				)
	torch.save(model.state_dict()	,      _A				)


if __name__ == "__main__":
		lowercase__							:	Dict											=		argparse.ArgumentParser()
		# Required parameters
		parser.add_argument(
		    "--tf_checkpoint_path", default=None, type=str, required=True, help="Path to the TensorFlow checkpoint path."
		)
		parser.add_argument(
		    "--mobilebert_config_file",
		    default=None,
		    type=str,
		    required=True,
		    help=(
		        "The config json file corresponding to the pre-trained MobileBERT model. \n"
		        "This specifies the model architecture."
		    ),
		)
		parser.add_argument(
		    "--pytorch_dump_path", default=None, type=str, required=True, help="Path to the output PyTorch model."
		)
		lowercase__							:	Tuple											=		parser.parse_args()
		convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.mobilebert_config_file, args.pytorch_dump_path)
