






"""simple docstring"""
import contextlib
import csv
import json
import os
import sqlitea
import tarfile
import textwrap
import zipfile

import pyarrow as pa
import pyarrow.parquet as pq
import pytest

import datasets
import datasets.config

@pytest.fixture(scope="session"						)
def 				snake_case      (   ):
			UpperCAmelCase_     : Any			     =					10
			UpperCAmelCase_     : Tuple			     =					datasets.Features(
			    {
			        "tokens": datasets.Sequence(datasets.Value("string"						)						),
			        "labels": datasets.Sequence(datasets.ClassLabel(names=["negative", "positive"]						)						),
			        "answers": datasets.Sequence(
			            {
			                "text": datasets.Value("string"						),
			                "answer_start": datasets.Value("int32"						),
			            }						),
			        "id": datasets.Value("int64"						),
			    }						)
			UpperCAmelCase_     : Any			     =					datasets.Dataset.from_dict(
			    {
			        "tokens": [["foo"] * 5] * n,
			        "labels": [[1] * 5] * n,
			        "answers": [{"answer_start": [97], "text": ["1976"]}] * 10,
			        "id": list(range(__A						)						),
			    }	,features=__A	,)
			return dataset

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__						):
			UpperCAmelCase_     : Optional[int]			     =					str(tmp_path_factory.mktemp("data"						) / "file.arrow"						)
			dataset.map(cache_file_name=__A						)
			return filename


# FILE_CONTENT + files


lowerCamelCase_					=      '''\\n    Text data.\n    Second line of data.'''

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : Optional[Any]			     =					tmp_path_factory.mktemp("data"						) / "file.txt"
			UpperCAmelCase_     : List[str]			     =					FILE_CONTENT
			with open(__A	,"w"						) as f:
						f.write(__A						)
			return filename

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			import bza

			UpperCAmelCase_     : Tuple			     =					tmp_path_factory.mktemp("data"						) / "file.txt.bz2"
			UpperCAmelCase_     : Tuple			     =					bytes(__A	,"utf-8"						)
			with bza.open(__A	,"wb"						) as f:
						f.write(__A						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			import gzip

			UpperCAmelCase_     : Optional[Any]			     =					str(tmp_path_factory.mktemp("data"						) / "file.txt.gz"						)
			UpperCAmelCase_     : Union[str, Any]			     =					bytes(__A	,"utf-8"						)
			with gzip.open(__A	,"wb"						) as f:
						f.write(__A						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):


			if datasets.config.LZ4_AVAILABLE:
						import lza.frame

						UpperCAmelCase_     : int			     =					tmp_path_factory.mktemp("data"						) / "file.txt.lz4"
						UpperCAmelCase_     : Dict			     =					bytes(__A	,"utf-8"						)
						with lza.frame.open(__A	,"wb"						) as f:
									f.write(__A						)
						return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__						):


			if datasets.config.PY7ZR_AVAILABLE:
						import pyazr

						UpperCAmelCase_     : Union[str, Any]			     =					tmp_path_factory.mktemp("data"						) / "file.txt.7z"
						with pyazr.SevenZipFile(__A	,"w"						) as archive:
									archive.write(__A	,arcname=os.path.basename(__A						)						)
						return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__						):
			import tarfile

			UpperCAmelCase_     : Dict			     =					tmp_path_factory.mktemp("data"						) / "file.txt.tar"
			with tarfile.TarFile(__A	,"w"						) as f:
						f.add(__A	,arcname=os.path.basename(__A						)						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			import lzma

			UpperCAmelCase_     : List[Any]			     =					tmp_path_factory.mktemp("data"						) / "file.txt.xz"
			UpperCAmelCase_     : Tuple			     =					bytes(__A	,"utf-8"						)
			with lzma.open(__A	,"wb"						) as f:
						f.write(__A						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__						):
			import zipfile

			UpperCAmelCase_     : int			     =					tmp_path_factory.mktemp("data"						) / "file.txt.zip"
			with zipfile.ZipFile(__A	,"w"						) as f:
						f.write(__A	,arcname=os.path.basename(__A						)						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):


			if datasets.config.ZSTANDARD_AVAILABLE:
						import zstandard as zstd

						UpperCAmelCase_     : Dict			     =					tmp_path_factory.mktemp("data"						) / "file.txt.zst"
						UpperCAmelCase_     : Optional[Any]			     =					bytes(__A	,"utf-8"						)
						with zstd.open(__A	,"wb"						) as f:
									f.write(__A						)
						return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : Any			     =					tmp_path_factory.mktemp("data"						) / "file.xml"
			UpperCAmelCase_     : List[Any]			     =					textwrap.dedent(
			    "\\n    <?xml version=\"1.0\" encoding=\"UTF-8\" ?>\n    <tmx version=\"1.4\">\n      <header segtype=\"sentence\" srclang=\"ca\" />\n      <body>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 1</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 1</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 2</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 2</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 3</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 3</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 4</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 4</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang=\"ca\"><seg>Contingut 5</seg></tuv>\n          <tuv xml:lang=\"en\"><seg>Content 5</seg></tuv>\n        </tu>\n      </body>\n    </tmx>"						)
			with open(__A	,"w"						) as f:
						f.write(__A						)
			return filename


lowerCamelCase_					=      [
    {'''col_1''': '''0''', '''col_2''': 0, '''col_3''': 0.0},
    {'''col_1''': '''1''', '''col_2''': 1, '''col_3''': 1.0},
    {'''col_1''': '''2''', '''col_2''': 2, '''col_3''': 2.0},
    {'''col_1''': '''3''', '''col_2''': 3, '''col_3''': 3.0},
]
lowerCamelCase_					=      [
    {'''col_1''': '''4''', '''col_2''': 4, '''col_3''': 4.0},
    {'''col_1''': '''5''', '''col_2''': 5, '''col_3''': 5.0},
]
lowerCamelCase_					=      {
    '''col_1''': ['''0''', '''1''', '''2''', '''3'''],
    '''col_2''': [0, 1, 2, 3],
    '''col_3''': [0.0, 1.0, 2.0, 3.0],
}

lowerCamelCase_					=      [
    {'''col_3''': 0.0, '''col_1''': '''0''', '''col_2''': 0},
    {'''col_3''': 1.0, '''col_1''': '''1''', '''col_2''': 1},
]

lowerCamelCase_					=      [
    {'''col_1''': '''s0''', '''col_2''': 0, '''col_3''': 0.0},
    {'''col_1''': '''s1''', '''col_2''': 1, '''col_3''': 1.0},
    {'''col_1''': '''s2''', '''col_2''': 2, '''col_3''': 2.0},
    {'''col_1''': '''s3''', '''col_2''': 3, '''col_3''': 3.0},
]

@pytest.fixture(scope="session"						)
def 				snake_case      (   ):
			return DATA_DICT_OF_LISTS

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : Dict			     =					datasets.Dataset.from_dict(__A						)
			UpperCAmelCase_     : Any			     =					str(tmp_path_factory.mktemp("data"						) / "dataset.arrow"						)
			dataset.map(cache_file_name=__A						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : Optional[Any]			     =					str(tmp_path_factory.mktemp("data"						) / "dataset.sqlite"						)
			with contextlib.closing(sqlitea.connect(__A						)						) as con:
						UpperCAmelCase_     : Tuple			     =					con.cursor()
						cur.execute("CREATE TABLE dataset(col_1 text, col_2 int, col_3 real)"						)
						for item in DATA:
									cur.execute("INSERT INTO dataset(col_1, col_2, col_3) VALUES (?, ?, ?)"	,tuple(item.values()						)						)
						con.commit()
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : Any			     =					str(tmp_path_factory.mktemp("data"						) / "dataset.csv"						)
			with open(__A	,"w"	,newline=""						) as f:
						UpperCAmelCase_     : str			     =					csv.DictWriter(__A	,fieldnames=["col_1", "col_2", "col_3"]						)
						writer.writeheader()
						for item in DATA:
									writer.writerow(__A						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : int			     =					str(tmp_path_factory.mktemp("data"						) / "dataset2.csv"						)
			with open(__A	,"w"	,newline=""						) as f:
						UpperCAmelCase_     : List[Any]			     =					csv.DictWriter(__A	,fieldnames=["col_1", "col_2", "col_3"]						)
						writer.writeheader()
						for item in DATA:
									writer.writerow(__A						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__						):
			import bza

			UpperCAmelCase_     : Any			     =					tmp_path_factory.mktemp("data"						) / "dataset.csv.bz2"
			with open(__A	,"rb"						) as f:
						UpperCAmelCase_     : Dict			     =					f.read()
			# data = bytes(FILE_CONTENT, "utf-8")
			with bza.open(__A	,"wb"						) as f:
						f.write(__A						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__	,A__						):
			UpperCAmelCase_     : Union[str, Any]			     =					tmp_path_factory.mktemp("data"						) / "dataset.csv.zip"
			with zipfile.ZipFile(__A	,"w"						) as f:
						f.write(__A	,arcname=os.path.basename(__A						)						)
						f.write(__A	,arcname=os.path.basename(__A						)						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__	,A__						):
			UpperCAmelCase_     : Dict			     =					tmp_path_factory.mktemp("data"						) / "dataset.csv.zip"
			with zipfile.ZipFile(__A	,"w"						) as f:
						f.write(__A	,arcname=os.path.basename(csv_path.replace(".csv"	,".CSV"						)						)						)
						f.write(__A	,arcname=os.path.basename(csva_path.replace(".csv"	,".CSV"						)						)						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__	,A__						):
			UpperCAmelCase_     : Optional[Any]			     =					tmp_path_factory.mktemp("data"						) / "dataset_with_dir.csv.zip"
			with zipfile.ZipFile(__A	,"w"						) as f:
						f.write(__A	,arcname=os.path.join("main_dir"	,os.path.basename(__A						)						)						)
						f.write(__A	,arcname=os.path.join("main_dir"	,os.path.basename(__A						)						)						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : List[Any]			     =					str(tmp_path_factory.mktemp("data"						) / "dataset.parquet"						)
			UpperCAmelCase_     : str			     =					pa.schema(
			    {
			        "col_1": pa.string(),
			        "col_2": pa.intaa(),
			        "col_3": pa.floataa(),
			    }						)
			with open(__A	,"wb"						) as f:
						UpperCAmelCase_     : str			     =					pq.ParquetWriter(__A	,schema=__A						)
						UpperCAmelCase_     : List[str]			     =					pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(__A						)						)] for k in DATA[0]}	,schema=__A						)
						writer.write_table(__A						)
						writer.close()
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : List[str]			     =					str(tmp_path_factory.mktemp("data"						) / "dataset.json"						)
			UpperCAmelCase_     : str			     =					{"data": DATA}
			with open(__A	,"w"						) as f:
						json.dump(__A	,__A						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : Optional[Any]			     =					str(tmp_path_factory.mktemp("data"						) / "dataset.json"						)
			UpperCAmelCase_     : Dict			     =					{"data": DATA_DICT_OF_LISTS}
			with open(__A	,"w"						) as f:
						json.dump(__A	,__A						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : Optional[Any]			     =					str(tmp_path_factory.mktemp("data"						) / "dataset.jsonl"						)
			with open(__A	,"w"						) as f:
						for item in DATA:
									f.write(json.dumps(__A						) + "\n"						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : Optional[int]			     =					str(tmp_path_factory.mktemp("data"						) / "dataset2.jsonl"						)
			with open(__A	,"w"						) as f:
						for item in DATA:
									f.write(json.dumps(__A						) + "\n"						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : Any			     =					str(tmp_path_factory.mktemp("data"						) / "dataset_312.jsonl"						)
			with open(__A	,"w"						) as f:
						for item in DATA_312:
									f.write(json.dumps(__A						) + "\n"						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : Tuple			     =					str(tmp_path_factory.mktemp("data"						) / "dataset-str.jsonl"						)
			with open(__A	,"w"						) as f:
						for item in DATA_STR:
									f.write(json.dumps(__A						) + "\n"						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__						):
			import gzip

			UpperCAmelCase_     : List[str]			     =					str(tmp_path_factory.mktemp("data"						) / "dataset.txt.gz"						)
			with open(__A	,"rb"						) as orig_file:
						with gzip.open(__A	,"wb"						) as zipped_file:
									zipped_file.writelines(__A						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__						):
			import gzip

			UpperCAmelCase_     : List[Any]			     =					str(tmp_path_factory.mktemp("data"						) / "dataset.jsonl.gz"						)
			with open(__A	,"rb"						) as orig_file:
						with gzip.open(__A	,"wb"						) as zipped_file:
									zipped_file.writelines(__A						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__	,A__						):
			UpperCAmelCase_     : str			     =					tmp_path_factory.mktemp("data"						) / "dataset.jsonl.zip"
			with zipfile.ZipFile(__A	,"w"						) as f:
						f.write(__A	,arcname=os.path.basename(__A						)						)
						f.write(__A	,arcname=os.path.basename(__A						)						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__	,A__	,A__						):
			UpperCAmelCase_     : List[Any]			     =					tmp_path_factory.mktemp("data"						) / "dataset_nested.jsonl.zip"
			with zipfile.ZipFile(__A	,"w"						) as f:
						f.write(__A	,arcname=os.path.join("nested"	,os.path.basename(__A						)						)						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__	,A__						):
			UpperCAmelCase_     : Tuple			     =					tmp_path_factory.mktemp("data"						) / "dataset_with_dir.jsonl.zip"
			with zipfile.ZipFile(__A	,"w"						) as f:
						f.write(__A	,arcname=os.path.join("main_dir"	,os.path.basename(__A						)						)						)
						f.write(__A	,arcname=os.path.join("main_dir"	,os.path.basename(__A						)						)						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__	,A__						):
			UpperCAmelCase_     : Optional[Any]			     =					tmp_path_factory.mktemp("data"						) / "dataset.jsonl.tar"
			with tarfile.TarFile(__A	,"w"						) as f:
						f.add(__A	,arcname=os.path.basename(__A						)						)
						f.add(__A	,arcname=os.path.basename(__A						)						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__	,A__	,A__						):
			UpperCAmelCase_     : Union[str, Any]			     =					tmp_path_factory.mktemp("data"						) / "dataset_nested.jsonl.tar"
			with tarfile.TarFile(__A	,"w"						) as f:
						f.add(__A	,arcname=os.path.join("nested"	,os.path.basename(__A						)						)						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : Tuple			     =					["0", "1", "2", "3"]
			UpperCAmelCase_     : str			     =					str(tmp_path_factory.mktemp("data"						) / "dataset.txt"						)
			with open(__A	,"w"						) as f:
						for item in data:
									f.write(item + "\n"						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : Optional[Any]			     =					["0", "1", "2", "3"]
			UpperCAmelCase_     : str			     =					str(tmp_path_factory.mktemp("data"						) / "dataset2.txt"						)
			with open(__A	,"w"						) as f:
						for item in data:
									f.write(item + "\n"						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : Dict			     =					["0", "1", "2", "3"]
			UpperCAmelCase_     : List[Any]			     =					tmp_path_factory.mktemp("data"						) / "dataset.abc"
			with open(__A	,"w"						) as f:
						for item in data:
									f.write(item + "\n"						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__	,A__						):
			UpperCAmelCase_     : Tuple			     =					tmp_path_factory.mktemp("data"						) / "dataset.text.zip"
			with zipfile.ZipFile(__A	,"w"						) as f:
						f.write(__A	,arcname=os.path.basename(__A						)						)
						f.write(__A	,arcname=os.path.basename(__A						)						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__	,A__						):
			UpperCAmelCase_     : Tuple			     =					tmp_path_factory.mktemp("data"						) / "dataset_with_dir.text.zip"
			with zipfile.ZipFile(__A	,"w"						) as f:
						f.write(__A	,arcname=os.path.join("main_dir"	,os.path.basename(__A						)						)						)
						f.write(__A	,arcname=os.path.join("main_dir"	,os.path.basename(__A						)						)						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__	,A__						):
			UpperCAmelCase_     : List[Any]			     =					tmp_path_factory.mktemp("data"						) / "dataset.ext.zip"
			with zipfile.ZipFile(__A	,"w"						) as f:
						f.write(__A	,arcname=os.path.basename("unsupported.ext"						)						)
						f.write(__A	,arcname=os.path.basename("unsupported_2.ext"						)						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : List[Any]			     =					"\n".join(["First", "Second\u2029with Unicode new line", "Third"]						)
			UpperCAmelCase_     : Optional[int]			     =					str(tmp_path_factory.mktemp("data"						) / "dataset_with_unicode_new_lines.txt"						)
			with open(__A	,"w"	,encoding="utf-8"						) as f:
						f.write(__A						)
			return path

@pytest.fixture(scope="session"						)
def 				snake_case      (   ):
			return os.path.join("tests"	,"features"	,"data"	,"test_image_rgb.jpg"						)

@pytest.fixture(scope="session"						)
def 				snake_case      (   ):
			return os.path.join("tests"	,"features"	,"data"	,"test_audio_44100.wav"						)

@pytest.fixture(scope="session"						)
def 				snake_case      (   A__	,A__						):
			UpperCAmelCase_     : Any			     =					tmp_path_factory.mktemp("data"						) / "dataset.img.zip"
			with zipfile.ZipFile(__A	,"w"						) as f:
						f.write(__A	,arcname=os.path.basename(__A						)						)
						f.write(__A	,arcname=os.path.basename(__A						).replace(".jpg"	,"2.jpg"						)						)
			return path




@pytest.fixture(scope="session"						)
def 				snake_case      (   A__						):
			UpperCAmelCase_     : Union[str, Any]			     =					tmp_path_factory.mktemp("data_dir"						)

			(data_dir / "subdir").mkdir()
			with open(data_dir / "subdir" / "train.txt"	,"w"						) as f:
						f.write("foo\n" * 10						)
			with open(data_dir / "subdir" / "test.txt"	,"w"						) as f:
						f.write("bar\n" * 10						)
			# hidden file
			with open(data_dir / "subdir" / ".test.txt"	,"w"						) as f:
						f.write("bar\n" * 10						)

			# hidden directory
			(data_dir / ".subdir").mkdir()
			with open(data_dir / ".subdir" / "train.txt"	,"w"						) as f:
						f.write("foo\n" * 10						)
			with open(data_dir / ".subdir" / "test.txt"	,"w"						) as f:
						f.write("bar\n" * 10						)

			return data_dir




import json
import os
import subprocess
import unittest
from ast import literal_eval

import pytest
from parameterized import parameterized_class

from . import is_sagemaker_available


if is_sagemaker_available():
      from sagemaker import Session, TrainingJobAnalytics
      from sagemaker.huggingface import HuggingFace





@pytest.mark.skipif(
    literal_eval(os.getenv('TEST_SAGEMAKER'		,				'False'     )     ) is not True		,				reason='Skipping test because should only be run when releasing minor transformers version'		,				)
@pytest.mark.usefixtures('sm_env'     )
@parameterized_class(
    [
        {
            'framework': 'pytorch',
            'script': 'run_glue.py',
            'model_name_or_path': 'distilbert-base-cased',
            'instance_type': 'ml.g4dn.xlarge',
            'results': {'train_runtime': 6_50, 'eval_accuracy': 0.6, 'eval_loss': 0.9},
        },
        {
            'framework': 'tensorflow',
            'script': 'run_tf.py',
            'model_name_or_path': 'distilbert-base-cased',
            'instance_type': 'ml.g4dn.xlarge',
            'results': {'train_runtime': 6_00, 'eval_accuracy': 0.3, 'eval_loss': 0.9},
        },
    ]     )
class      A							(				unittest.TestCase     ):


   def 			lowercase_      (self     :						int		)						->				Optional[Any]:
         """simple docstring"""



         if self.framework == "pytorch":
               subprocess.run(
                   f"""cp ./examples/pytorch/text-classification/run_glue.py {self.env.test_path}/run_glue.py""".split()       ,  encoding="utf-8"       ,  check=__UpperCAmelCase       ,  )
         assert hasattr(self       ,  "env"		)


   def 			lowercase_      (self     :						List[Any]       ,  __UpperCAmelCase     :						Optional[int]=1		)						->				Dict:
         """simple docstring"""



         return HuggingFace(
             entry_point=self.script       ,  source_dir=self.env.test_path       ,  role=self.env.role       ,  image_uri=self.env.image_uri       ,  base_job_name=f"""{self.env.base_job_name}-single"""       ,  instance_count=__UpperCAmelCase       ,  instance_type=self.instance_type       ,  debugger_hook_config=__UpperCAmelCase       ,  hyperparameters={**self.env.hyperparameters, "model_name_or_path": self.model_name_or_path}       ,  metric_definitions=self.env.metric_definitions       ,  py_version="py36"       ,  )


   def 			lowercase_      (self     :						Optional[Any]       ,  __UpperCAmelCase     :						Tuple		)						->				Optional[int]:
         """simple docstring"""



         TrainingJobAnalytics(__UpperCAmelCase		).export_csv(f"""{self.env.test_path}/{job_name}_metrics.csv"""		)





   def 			lowercase_      (self     :						Any		)						->				Optional[Any]:
         """simple docstring"""



         UpperCAmelCase__								=  self.create_estimator()

         # run training
         estimator.fit()

         # result dataframe
         UpperCAmelCase__								=  TrainingJobAnalytics(estimator.latest_training_job.name		).dataframe()

         # extract kpis
         UpperCAmelCase__								=  list(result_metrics_df[result_metrics_df.metric_name == "eval_accuracy"]["value"]		)
         UpperCAmelCase__								=  list(result_metrics_df[result_metrics_df.metric_name == "eval_loss"]["value"]		)
         # get train time from SageMaker job, this includes starting, preprocessing, stopping
         UpperCAmelCase__								=  (
             Session().describe_training_job(estimator.latest_training_job.name		).get("TrainingTimeInSeconds"       ,  9_9_9_9_9_9		)
         )

         # assert kpis
         assert train_runtime <= self.results["train_runtime"]
         assert all(t >= self.results["eval_accuracy"] for t in eval_accuracy		)
         assert all(t <= self.results["eval_loss"] for t in eval_loss		)

         # dump tests result into json file to share in PR
         with open(f"""{estimator.latest_training_job.name}.json"""       ,  "w"		) as outfile:
               json.dump({"train_time": train_runtime, "eval_accuracy": eval_accuracy, "eval_loss": eval_loss}       ,  __UpperCAmelCase		)



