




import asyncio
import os
import shutil
import subprocess
import sys
import tempfile
import unittest
from distutils.util import strtobool
from functools import partial
from pathlib import Path
from typing import List, Union
from unittest import mock

import torch

from ..state import AcceleratorState, PartialState
from ..utils import (
    gather,
    is_bnb_available,
    is_comet_ml_available,
    is_datasets_available,
    is_deepspeed_available,
    is_mps_available,
    is_safetensors_available,
    is_tensorboard_available,
    is_torch_version,
    is_tpu_available,
    is_transformers_available,
    is_wandb_available,
    is_xpu_available,
)


def 						lowerCamelCase__    (		_A     ,	_A=False							):







	'''simple docstring'''





	try:
		snake_case_		    =     os.environ[key]
	except KeyError:
		# KEY isn't set, default to `default`.
		snake_case_		    =     default
	else:
		# KEY is set, convert it to True or False.
		try:
			snake_case_		    =     strtobool(_A							)
		except ValueError:
			# More values are supported, but let's keep the message simple.
			raise ValueError(f"If set, {key} must be yes or no."							)
	return _value


lowercase__				:     Dict 		=						parse_flag_from_env("RUN_SLOW", default=False)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skip("Test was skipped"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(_run_slow_tests     ,	"test is slow"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(not torch.cuda.is_available()     ,	"test requires only a CPU"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(torch.cuda.is_available()     ,	"test requires a GPU"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(is_xpu_available()     ,	"test requires a XPU"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(is_mps_available()     ,	"test requires a `mps` backend support in `torch`"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(
	    is_transformers_available() and is_datasets_available()     ,	"test requires the Hugging Face suite"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(is_bnb_available()     ,	"test requires the bitsandbytes library"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(is_tpu_available()     ,	"test requires TPU"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(torch.cuda.device_count() == 1     ,	"test requires a GPU"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(torch.xpu.device_count() == 1     ,	"test requires a XPU"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(torch.cuda.device_count() > 1     ,	"test requires multiple GPUs"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(torch.xpu.device_count() > 1     ,	"test requires multiple XPUs"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(is_safetensors_available()     ,	"test requires safetensors"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(is_deepspeed_available()     ,	"test requires DeepSpeed"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(is_torch_version(">="     ,	"1.12.0"							)     ,	"test requires torch version >= 1.12.0"							)(_A							)


def 						lowerCamelCase__    (		_A=None     ,	_A=None							):







	'''simple docstring'''





	if test_case is None:
		return partial(_A     ,	version=_A							)
	return unittest.skipUnless(is_torch_version(">="     ,	_A							)     ,	f"test requires torch version >= {version}"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(is_tensorboard_available()     ,	"test requires Tensorboard"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(is_wandb_available()     ,	"test requires wandb"							)(_A							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(is_comet_ml_available()     ,	"test requires comet_ml"							)(_A							)


lowercase__				:     List[Any] 		=						(
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return unittest.skipUnless(
	    _atleast_one_tracker_available     ,	"test requires at least one tracker to be available and for `comet_ml` to not be installed"     ,	)(_A							)
class 		UpperCAmelCase   (				unittest.TestCase			):







						'''simple docstring'''





						lowerCAmelCase_     		=   True






						@classmethod
						def        snake_case__						(						cls							:     List[Any]						):






							"""simple docstring"""






							snake_case_		    =     tempfile.mkdtemp()






						@classmethod
						def        snake_case__						(						cls							:     List[str]						):






							"""simple docstring"""






							if os.path.exists(cls.tmpdir						):
								shutil.rmtree(cls.tmpdir						)






						def        snake_case__						(						self							:     List[Any]						):






							"""simple docstring"""






							if self.clear_on_setup:
								for path in Path(self.tmpdir						).glob("**/*"						):
									if path.is_file():
										path.unlink()
									elif path.is_dir():
										shutil.rmtree(__lowercase						)







class 		UpperCAmelCase   (				unittest.TestCase			):







						'''simple docstring'''





						def        snake_case__						(						self							:     str						):






							"""simple docstring"""






							super().tearDown()
							# Reset the state of the AcceleratorState singleton.
							AcceleratorState._reset_state()
							PartialState._reset_state()







class 		UpperCAmelCase   (				unittest.TestCase			):







						'''simple docstring'''





						def        snake_case__						(						self							:     Union[str, Any]       ,	__lowercase							:     Union[mock.Mock, List[mock.Mock]]						):






							"""simple docstring"""






							snake_case_		    =     mocks if isinstance(__lowercase       ,	(tuple, list)						) else [mocks]
							for m in self.mocks:
								m.start()
								self.addCleanup(m.stop						)







def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	snake_case_		    =     AcceleratorState()
	snake_case_		    =     tensor[None].clone().to(state.device							)
	snake_case_		    =     gather(_A							).cpu()
	snake_case_		    =     tensor[0].cpu()
	for i in range(tensors.shape[0]							):
		if not torch.equal(tensors[i]     ,	_A							):
			return False
	return True
class 		UpperCAmelCase   :







						'''simple docstring'''





						def __init__(						self							:     str       ,	__lowercase							:     str       ,	__lowercase							:     int       ,	__lowercase							:     Dict						):






							"""simple docstring"""






							snake_case_		    =     returncode
							snake_case_		    =     stdout
							snake_case_		    =     stderr







async def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	while True:
		snake_case_		    =     await stream.readline()
		if line:
			callback(_A							)
		else:
			break


async def 						lowerCamelCase__    (		_A     ,	_A=None     ,	_A=None     ,	_A=None     ,	_A=False     ,	_A=False							):







	'''simple docstring'''





	if echo:
		print("\nRunning: "     ,	" ".join(_A							)							)

	snake_case_		    =     await asyncio.create_subprocess_exec(
	    cmd[0]     ,	*cmd[1:]     ,	stdin=_A     ,	stdout=asyncio.subprocess.PIPE     ,	stderr=asyncio.subprocess.PIPE     ,	env=_A     ,	)

	# note: there is a warning for a possible deadlock when using `wait` with huge amounts of data in the pipe
	# https://docs.python.org/3/library/asyncio-subprocess.html#asyncio.asyncio.subprocess.Process.wait
	#
	# If it starts hanging, will need to switch to the following code. The problem is that no data
	# will be seen until it's done and if it hangs for example there will be no debug info.
	# out, err = await p.communicate()
	# return _RunOutput(p.returncode, out, err)

	snake_case_		    =     []
	snake_case_		    =     []

	def tee(_A     ,	_A     ,	_A     ,	_A=""							):
		snake_case_		    =     line.decode("utf-8"							).rstrip()
		sink.append(_A							)
		if not quiet:
			print(_A     ,	_A     ,	file=_A							)

    # XXX: the timeout doesn't seem to make any difference here
	await asyncio.wait(
	    [
	        asyncio.create_task(_read_stream(p.stdout     ,	lambda _A							: tee(_A     ,	_A     ,	sys.stdout     ,	label="stdout:"							)							)							),
	        asyncio.create_task(_read_stream(p.stderr     ,	lambda _A							: tee(_A     ,	_A     ,	sys.stderr     ,	label="stderr:"							)							)							),
	    ]     ,	timeout=_A     ,	)
	return _RunOutput(await p.wait()     ,	_A     ,	_A							)


def 						lowerCamelCase__    (		_A     ,	_A=None     ,	_A=None     ,	_A=180     ,	_A=False     ,	_A=True							):







	'''simple docstring'''





	snake_case_		    =     asyncio.get_event_loop()
	snake_case_		    =     loop.run_until_complete(
	    _stream_subprocess(_A     ,	env=_A     ,	stdin=_A     ,	timeout=_A     ,	quiet=_A     ,	echo=_A							)							)

	snake_case_		    =     " ".join(_A							)
	if result.returncode > 0:
		snake_case_		    =     "\n".join(result.stderr							)
		raise RuntimeError(
		    f"'{cmd_str}' failed with returncode {result.returncode}\n\n"
		    f"The combined stderr from workers follows:\n{stderr}"							)

	return result
class 		UpperCAmelCase   (				UpperCAmelCase__			):







						'''simple docstring'''





						pass







def 						lowerCamelCase__    (		_A     ,	_A=False							):







	'''simple docstring'''





	try:
		snake_case_		    =     subprocess.check_output(_A     ,	stderr=subprocess.STDOUT							)
		if return_stdout:
			if hasattr(_A     ,	"decode"							):
				snake_case_		    =     output.decode("utf-8"							)
			return output
	except subprocess.CalledProcessError as e:
		raise SubprocessCallException(
		    f"Command `{' '.join(_A							)}` failed with the following error:\n\n{e.output.decode()}"							) from e






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'''





						lowerCAmelCase_     		=   CodeGenTokenizer
						lowerCAmelCase_     		=   CodeGenTokenizerFast
						lowerCAmelCase_     		=   True
						lowerCAmelCase_     		=   {'''add_prefix_space''': True}
						lowerCAmelCase_     		=   False






						def        snake_case__						(						self							:     List[Any]						):






							"""simple docstring"""






							super().setUp()

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

							snake_case_		    =     os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES["vocab_file"]						)
							snake_case_		    =     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        snake_case__						(						self							:     Union[str, Any]       ,	**__lowercase							:     List[str]						):






							"""simple docstring"""






							kwargs.update(self.special_tokens_map						)
							return CodeGenTokenizer.from_pretrained(self.tmpdirname       ,	**__lowercase						)






						def        snake_case__						(						self							:     Optional[Any]       ,	**__lowercase							:     Union[str, Any]						):






							"""simple docstring"""






							kwargs.update(self.special_tokens_map						)
							return CodeGenTokenizerFast.from_pretrained(self.tmpdirname       ,	**__lowercase						)






						def        snake_case__						(						self							:     Optional[int]       ,	__lowercase							:     List[str]						):






							"""simple docstring"""






							snake_case_		    =     "lower newer"
							snake_case_		    =     "lower newer"
							return input_text, output_text






						def        snake_case__						(						self							:     Optional[Any]						):






							"""simple docstring"""






							snake_case_		    =     CodeGenTokenizer(self.vocab_file       ,	self.merges_file       ,	**self.special_tokens_map						)
							snake_case_		    =     "lower newer"
							snake_case_		    =     ["\u0120low", "er", "\u0120", "n", "e", "w", "er"]
							snake_case_		    =     tokenizer.tokenize(__lowercase       ,	add_prefix_space=__lowercase						)
							self.assertListEqual(__lowercase       ,	__lowercase						)

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






						def        snake_case__						(						self							:     Optional[int]						):






							"""simple docstring"""






							if not self.test_rust_tokenizer:
								return

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

							snake_case_		    =     "lower newer"

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

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

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

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






						def        snake_case__						(						self							:     Any       ,	*__lowercase							:     Union[str, Any]       ,	**__lowercase							:     Tuple						):






							"""simple docstring"""






							pass






						def        snake_case__						(						self							:     int       ,	__lowercase							:     str=15						):






							"""simple docstring"""






							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
								with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"						):
									snake_case_		    =     self.rust_tokenizer_class.from_pretrained(__lowercase       ,	**__lowercase						)

									# Simple input
									snake_case_		    =     "This is a simple input"
									snake_case_		    =     ["This is a simple input 1", "This is a simple input 2"]
									snake_case_		    =     ("This is a simple input", "This is a pair")
									snake_case_		    =     [
									    ("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        snake_case__						(						self							:     str						):






							"""simple docstring"""






							snake_case_		    =     CodeGenTokenizer.from_pretrained(self.tmpdirname       ,	pad_token="<pad>"						)

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

							snake_case_		    =     tokenizer.pad_token_id

							snake_case_		    =     tokenizer(__lowercase       ,	padding="max_length"       ,	max_length=30       ,	return_tensors="np"						)
							snake_case_		    =     tokenizer(__lowercase       ,	padding=__lowercase       ,	truncate=__lowercase       ,	return_tensors="np"						)
							snake_case_		    =     tokenizer(*__lowercase       ,	padding="max_length"       ,	max_length=60       ,	return_tensors="np"						)
							snake_case_		    =     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        snake_case__						(						self							:     Tuple						):






							"""simple docstring"""






							snake_case_		    =     "$$$"
							snake_case_		    =     CodeGenTokenizer.from_pretrained(self.tmpdirname       ,	bos_token=__lowercase       ,	add_bos_token=__lowercase						)

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

							snake_case_		    =     tokenizer.bos_token_id

							snake_case_		    =     tokenizer(__lowercase						)
							snake_case_		    =     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						)						)

							snake_case_		    =     tokenizer.decode(out_s.input_ids						)
							snake_case_		    =     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        snake_case__						(						self							:     Tuple						):






							"""simple docstring"""






							snake_case_		    =     CodeGenTokenizer.from_pretrained("Salesforce/codegen-350M-mono"						)

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

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






						def        snake_case__						(						self							:     Dict						):






							"""simple docstring"""






							pass
