




import os
from pathlib import Path







def 	_a      (						SCREAMING_SNAKE_CASE_							:				Optional[Any]      ,      SCREAMING_SNAKE_CASE_							:				Dict      ,      SCREAMING_SNAKE_CASE_							:				List[Any]     ):
					__lowerCAmelCase				   =       {
					    """en""": """Machine learning is great, isn't it?""",
					    """ru""": """Машинное обучение - это здорово, не так ли?""",
					    """de""": """Maschinelles Lernen ist großartig, oder?""",
					}

					# BLUE scores as follows:
					# "pair": [fairseq, transformers]
					__lowerCAmelCase				   =       {
					    """ru-en""": ["""[41.3](http://matrix.statmt.org/matrix/output/1907?run_id=6937)""", """39.20"""],
					    """en-ru""": ["""[36.4](http://matrix.statmt.org/matrix/output/1914?run_id=6724)""", """33.47"""],
					    """en-de""": ["""[43.1](http://matrix.statmt.org/matrix/output/1909?run_id=6862)""", """42.83"""],
					    """de-en""": ["""[42.3](http://matrix.statmt.org/matrix/output/1902?run_id=6750)""", """41.35"""],
					}
					__lowerCAmelCase				   =       F"""{src_lang}-{tgt_lang}"""

					__lowerCAmelCase				   =       F"""
---
language: 
- {src_lang}
- {tgt_lang}
thumbnail:
tags:
- translation
- wmt19
- facebook
license: apache-2.0
datasets:
- wmt19
metrics:
- bleu
---

# FSMT

## Model description

This is a ported version of [fairseq wmt19 transformer](https://github.com/pytorch/fairseq/blob/master/examples/wmt19/README.md) for {src_lang}-{tgt_lang}.

For more details, please see, [Facebook FAIR\'s WMT19 News Translation Task Submission](https://arxiv.org/abs/1907.06616).

The abbreviation FSMT stands for FairSeqMachineTranslation

All four models are available:

* [wmt19-en-ru](https://huggingface.co/facebook/wmt19-en-ru)
* [wmt19-ru-en](https://huggingface.co/facebook/wmt19-ru-en)
* [wmt19-en-de](https://huggingface.co/facebook/wmt19-en-de)
* [wmt19-de-en](https://huggingface.co/facebook/wmt19-de-en)

## Intended uses & limitations

#### How to use

```python
from transformers import FSMTForConditionalGeneration, FSMTTokenizer
mname = \"facebook/wmt19-{src_lang}-{tgt_lang}\"
tokenizer = FSMTTokenizer.from_pretrained(mname)
model = FSMTForConditionalGeneration.from_pretrained(mname)

input = \"{texts[src_lang]}\"
input_ids = tokenizer.encode(input, return_tensors=\"pt\")
outputs = model.generate(input_ids)
decoded = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(decoded) # {texts[tgt_lang]}

```

#### Limitations and bias

- The original (and this ported model) doesn\'t seem to handle well inputs with repeated sub-phrases, [content gets truncated](https://discuss.huggingface.co/t/issues-with-translating-inputs-containing-repeated-phrases/981)

## Training data

Pretrained weights were left identical to the original model released by fairseq. For more details, please, see the [paper](https://arxiv.org/abs/1907.06616).

## Eval results

pair   | fairseq | transformers
-------|---------|----------
{pair}  | {scores[pair][0]} | {scores[pair][1]}

The score is slightly below the score reported by `fairseq`, since `transformers`` currently doesn\'t support:
- model ensemble, therefore the best performing checkpoint was ported (``model4.pt``).
- re-ranking

The score was calculated using this code:

```bash
git clone https://github.com/huggingface/transformers
cd transformers
export PAIR={pair}
export DATA_DIR=data/$PAIR
export SAVE_DIR=data/$PAIR
export BS=8
export NUM_BEAMS=15
mkdir -p $DATA_DIR
sacrebleu -t wmt19 -l $PAIR --echo src > $DATA_DIR/val.source
sacrebleu -t wmt19 -l $PAIR --echo ref > $DATA_DIR/val.target
echo $PAIR
PYTHONPATH=\"src:examples/seq2seq\" python examples/seq2seq/run_eval.py facebook/wmt19-$PAIR $DATA_DIR/val.source $SAVE_DIR/test_translations.txt --reference_path $DATA_DIR/val.target --score_path $SAVE_DIR/test_bleu.json --bs $BS --task translation --num_beams $NUM_BEAMS
```
note: fairseq reports using a beam of 50, so you should get a slightly higher score if re-run with `--num_beams 50`.

## Data Sources

- [training, etc.](http://www.statmt.org/wmt19/)
- [test set](http://matrix.statmt.org/test_sets/newstest2019.tgz?1556572561)


### BibTeX entry and citation info

```bibtex
@inproceedings{{...,
  year={{2020}},
  title={{Facebook FAIR\'s WMT19 News Translation Task Submission}},
  author={{Ng, Nathan and Yee, Kyra and Baevski, Alexei and Ott, Myle and Auli, Michael and Edunov, Sergey}},
  booktitle={{Proc. of WMT}},
}}
```


## TODO

- port model ensemble (fairseq uses 4 model checkpoints)

"""
					os.makedirs(UpperCAmelCase__      ,      exist_ok=UpperCAmelCase__     )
					__lowerCAmelCase				   =       os.path.join(UpperCAmelCase__      ,      "README.md"     )
					print(F"""Generating {path}"""     )
					with open(UpperCAmelCase__      ,      "w"      ,      encoding="utf-8"     ) as f:
										f.write(UpperCAmelCase__     )


# make sure we are under the root of the project
UpperCamelCase__    			=			Path(__file__).resolve().parent.parent.parent
UpperCamelCase__    			=			repo_dir / "model_cards"

for model_name in ["wmt19-ru-en", "wmt19-en-ru", "wmt19-en-de", "wmt19-de-en"]:
					UpperCamelCase__    			=			model_name.split("""-""")
					UpperCamelCase__    			=			model_cards_dir / "facebook" / model_name
					write_model_card(model_card_dir, src_lang=src_lang, tgt_lang=tgt_lang)





'''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
_lowercase						: int						=						sys.version_info >= (3, 10)




def 							lowerCamelCase	(      UpperCAmelCase__       :					Tuple=None      ,      UpperCAmelCase__       :					Union[str, Any]=None )			->      Tuple:
							return field(default_factory=lambda: default      ,      metadata=UpperCAmelCase__ )





@dataclass
class     __magic_name__						:
			UpperCamelCase__				=       42
			UpperCamelCase__				=       42
			UpperCamelCase__				=       42
			UpperCamelCase__				=       42





@dataclass
class     __magic_name__						:
			UpperCamelCase__				=       42
			UpperCamelCase__				=       field(default='''toto''',     metadata={'''help''': '''help message'''})





@dataclass
class     __magic_name__						:
			UpperCamelCase__				=       False
			UpperCamelCase__				=       True
			UpperCamelCase__				=       None





class     __magic_name__						(    _UpperCAmelCase):
			UpperCamelCase__				=       '''titi'''
			UpperCamelCase__				=       '''toto'''





class     __magic_name__						(    _UpperCAmelCase):
			UpperCamelCase__				=       '''titi'''
			UpperCamelCase__				=       '''toto'''
			UpperCamelCase__				=       42





@dataclass
class     __magic_name__						:
			UpperCamelCase__				=       "toto"







			def 	SCREAMING_SNAKE_CASE_     (	self				:  int    ):
										lowercase_					:			Optional[int]										=       BasicEnum(self.foo    )





@dataclass
class     __magic_name__						:
			UpperCamelCase__				=       "toto"







			def 	SCREAMING_SNAKE_CASE_     (	self				:  int    ):
										lowercase_					:			Optional[int]										=       MixedTypeEnum(self.foo    )





@dataclass
class     __magic_name__						:
			UpperCamelCase__				=       None
			UpperCamelCase__				=       field(default=_UpperCAmelCase,     metadata={'''help''': '''help message'''})
			UpperCamelCase__				=       None
			UpperCamelCase__				=       list_field(default=[])
			UpperCamelCase__				=       list_field(default=[])





@dataclass
class     __magic_name__						:
			UpperCamelCase__				=       list_field(default=[])
			UpperCamelCase__				=       list_field(default=[1, 2, 3])
			UpperCamelCase__				=       list_field(default=['''Hallo''', '''Bonjour''', '''Hello'''])
			UpperCamelCase__				=       list_field(default=[0.1, 0.2, 0.3])





@dataclass
class     __magic_name__						:
			UpperCamelCase__				=       field()
			UpperCamelCase__				=       field()
			UpperCamelCase__				=       field()







			def 	SCREAMING_SNAKE_CASE_     (	self				:  List[str]    ):
										lowercase_					:			List[Any]										=       BasicEnum(self.required_enum    )





@dataclass
class     __magic_name__						:
			UpperCamelCase__				=       42
			UpperCamelCase__				=       field()
			UpperCamelCase__				=       None
			UpperCamelCase__				=       field(default='''toto''',     metadata={'''help''': '''help message'''})
			UpperCamelCase__				=       list_field(default=['''Hallo''', '''Bonjour''', '''Hello'''])


if is_python_no_less_than_3_10:





						@dataclass
						class     __magic_name__						:
									UpperCamelCase__				=       False
									UpperCamelCase__				=       True
									UpperCamelCase__				=       None





						@dataclass
						class     __magic_name__						:
									UpperCamelCase__				=       None
									UpperCamelCase__				=       field(default=_UpperCAmelCase,     metadata={'''help''': '''help message'''})
									UpperCamelCase__				=       None
									UpperCamelCase__				=       list_field(default=[])
									UpperCamelCase__				=       list_field(default=[])





class     __magic_name__						(    unittest.TestCase):







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Dict				,			lowercase_				:  argparse.ArgumentParser				,			lowercase_				:  argparse.ArgumentParser    ):
										self.assertEqual(len(a._actions    )				,			len(b._actions    )    )
										for x, y in zip(a._actions				,			b._actions    ):
																	lowercase_					:			List[str]										=       {k: v for k, v in vars(lowercase_    ).items() if k != """container"""}
																	lowercase_					:			Any										=       {k: v for k, v in vars(lowercase_    ).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"""				,			lowercase_    ) and yy.get("""choices"""				,			lowercase_    ):
																								for expected_choice in yy["choices"] + xx["choices"]:
																															self.assertEqual(xx["""type"""](lowercase_    )				,			yy["""type"""](lowercase_    )    )
																								del xx["type"], yy["type"]

																	self.assertEqual(lowercase_				,			lowercase_    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Tuple    ):
										lowercase_					:			List[str]										=       HfArgumentParser(lowercase_    )

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

										lowercase_					:			List[str]										=       ["""--foo""", """1""", """--baz""", """quux""", """--bar""", """0.5"""]
										((lowercase_)						,						)					:			Optional[Any]										=       parser.parse_args_into_dataclasses(lowercase_				,			look_for_args_file=lowercase_    )
										self.assertFalse(example.flag    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[int]    ):
										lowercase_					:			Any										=       HfArgumentParser(lowercase_    )

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







			def 	SCREAMING_SNAKE_CASE_     (	self				:  int    ):
										lowercase_					:			Optional[int]										=       argparse.ArgumentParser()
										expected.add_argument("""--foo"""				,			type=lowercase_				,			default=lowercase_				,			const=lowercase_				,			nargs="""?"""    )
										expected.add_argument("""--baz"""				,			type=lowercase_				,			default=lowercase_				,			const=lowercase_				,			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=lowercase_				,			dest="""baz"""    )
										expected.add_argument("""--opt"""				,			type=lowercase_				,			default=lowercase_    )

										lowercase_					:			List[Any]										=       [WithDefaultBoolExample]
										if is_python_no_less_than_3_10:
																	dataclass_types.append(lowercase_    )

										for dataclass_type in dataclass_types:
																	lowercase_					:			List[str]										=       HfArgumentParser(lowercase_    )
																	self.argparsersEqual(lowercase_				,			lowercase_    )

																	lowercase_					:			str										=       parser.parse_args([]    )
																	self.assertEqual(lowercase_				,			Namespace(foo=lowercase_				,			baz=lowercase_				,			opt=lowercase_    )    )

																	lowercase_					:			Optional[Any]										=       parser.parse_args(["""--foo""", """--no_baz"""]    )
																	self.assertEqual(lowercase_				,			Namespace(foo=lowercase_				,			baz=lowercase_				,			opt=lowercase_    )    )

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

																	lowercase_					:			Dict										=       parser.parse_args(["""--foo""", """True""", """--baz""", """True""", """--opt""", """True"""]    )
																	self.assertEqual(lowercase_				,			Namespace(foo=lowercase_				,			baz=lowercase_				,			opt=lowercase_    )    )

																	lowercase_					:			int										=       parser.parse_args(["""--foo""", """False""", """--baz""", """False""", """--opt""", """False"""]    )
																	self.assertEqual(lowercase_				,			Namespace(foo=lowercase_				,			baz=lowercase_				,			opt=lowercase_    )    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Union[str, Any]    ):
										lowercase_					:			str										=       HfArgumentParser(lowercase_    )

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

										lowercase_					:			Optional[int]										=       parser.parse_args([]    )
										self.assertEqual(args.foo				,			"""toto"""    )
										lowercase_					:			Union[str, Any]										=       parser.parse_args_into_dataclasses([]    )[0]
										self.assertEqual(enum_ex.foo				,			MixedTypeEnum.toto    )

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

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







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Union[str, Any]    ):





										@dataclass
										class     __magic_name__						:
													UpperCamelCase__				=       "toto"




										lowercase_					:			Optional[int]										=       HfArgumentParser(lowercase_    )

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

										lowercase_					:			List[str]										=       parser.parse_args([]    )
										self.assertEqual(args.foo				,			"""toto"""    )

										lowercase_					:			Optional[int]										=       parser.parse_args(["""--foo""", """titi"""]    )
										self.assertEqual(args.foo				,			"""titi"""    )

										lowercase_					:			List[Any]										=       parser.parse_args(["""--foo""", """42"""]    )
										self.assertEqual(args.foo				,			42    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Dict    ):
										lowercase_					:			int										=       HfArgumentParser(lowercase_    )

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

										self.argparsersEqual(lowercase_				,			lowercase_    )

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

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







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Tuple    ):
										lowercase_					:			Tuple										=       argparse.ArgumentParser()
										expected.add_argument("""--foo"""				,			default=lowercase_				,			type=lowercase_    )
										expected.add_argument("""--bar"""				,			default=lowercase_				,			type=lowercase_				,			help="""help message"""    )
										expected.add_argument("""--baz"""				,			default=lowercase_				,			type=lowercase_    )
										expected.add_argument("""--ces"""				,			nargs="""+"""				,			default=[]				,			type=lowercase_    )
										expected.add_argument("""--des"""				,			nargs="""+"""				,			default=[]				,			type=lowercase_    )

										lowercase_					:			Optional[int]										=       [OptionalExample]
										if is_python_no_less_than_3_10:
																	dataclass_types.append(lowercase_    )

										for dataclass_type in dataclass_types:
																	lowercase_					:			Tuple										=       HfArgumentParser(lowercase_    )

																	self.argparsersEqual(lowercase_				,			lowercase_    )

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

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







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Union[str, Any]    ):
										lowercase_					:			Dict										=       HfArgumentParser(lowercase_    )

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







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[Any]    ):
										lowercase_					:			Dict										=       HfArgumentParser(lowercase_    )

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







			def 	SCREAMING_SNAKE_CASE_     (	self				:  List[Any]    ):
										lowercase_					:			str										=       HfArgumentParser(lowercase_    )

										lowercase_					:			Optional[int]										=       {
										    """foo""": 12,
										    """bar""": 3.14,
										    """baz""": """42""",
										    """flag""": True,
										}

										lowercase_					:			Optional[Any]										=       parser.parse_dict(lowercase_    )[0]
										lowercase_					:			Dict										=       BasicExample(**lowercase_    )
										self.assertEqual(lowercase_				,			lowercase_    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[Any]    ):
										lowercase_					:			Dict										=       HfArgumentParser(lowercase_    )

										lowercase_					:			Optional[int]										=       {
										    """foo""": 12,
										    """bar""": 3.14,
										    """baz""": """42""",
										    """flag""": True,
										    """extra""": 42,
										}

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







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Any    ):
										lowercase_					:			List[Any]										=       HfArgumentParser(lowercase_    )

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

										lowercase_					:			Tuple										=       BasicExample(**lowercase_    )
										self.assertEqual(lowercase_				,			lowercase_    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  List[Any]    ):
										lowercase_					:			str										=       HfArgumentParser(lowercase_    )

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







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Union[str, Any]    ):
										lowercase_					:			str										=       HfArgumentParser(lowercase_    )
										self.assertIsNotNone(lowercase_    )





