code stringlengths 81 54k | code_codestyle int64 0 721 | style_context stringlengths 91 41.9k | style_context_codestyle int64 0 699 | label int64 0 1 |
|---|---|---|---|---|
import argparse
import json
import os
from tensorflow.core.protobuf.saved_model_pba import SavedModel
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_copies.py
__a = """."""
# Internal TensorFlow ops that can be sa... | 627 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__a = logging.get_logger(__name__)
__a = {"""ctrl""": """https://huggingface.co/ctrl/resolve/main/config.json"""}
class __lowercase ( __snake_case ):
UpperCamelCase = '''ct... | 627 | 1 |
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
__a = logging.get_logger(__name__)
__a = {
"""microsoft/beit-base-patch16-2... | 627 |
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import DeiTConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
from ...test_configur... | 627 | 1 |
import math
import os
import re
import sys
import unittest
from pathlib import Path
from typing import Tuple
from unittest.mock import patch
from parameterized import parameterized
from transformers.testing_utils import (
CaptureStderr,
ExtendSysPath,
TestCasePlus,
execute_subproc... | 627 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__a = {"""configuration_ibert""": ["""IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """IBertConfig""", """IBertOnnxConfig"""]}
try:
if not is_torch_available():
raise OptionalDepen... | 627 | 1 |
from sklearn.metrics import fa_score, matthews_corrcoef
import datasets
from .record_evaluation import evaluate as evaluate_record
__a = """\
@article{wang2019superglue,
title={SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems},
author={Wang, Alex and Pruksach... | 627 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available
__a = {"""tokenization_herbert""": ["""HerbertTokenizer"""]}
try:
if not is_tokenizers_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotA... | 627 | 1 |
import torch
from transformers import CamembertForMaskedLM, CamembertTokenizer
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_=5 ) ->Dict:
# Adapted from https://github.com/pytorch/fairseq/blob/master/fairseq/models/roberta/hub... | 627 |
from pickle import UnpicklingError
import jax
import jax.numpy as jnp
import numpy as np
from flax.serialization import from_bytes
from flax.traverse_util import flatten_dict
from ..utils import logging
__a = logging.get_logger(__name__)
def _UpperCamelCase ( lowerCAmelCase_ , ... | 627 | 1 |
from ...configuration_utils import PretrainedConfig
__a = {
"""google/tapas-base-finetuned-sqa""": (
"""https://huggingface.co/google/tapas-base-finetuned-sqa/resolve/main/config.json"""
),
"""google/tapas-base-finetuned-wtq""": (
"""https://huggingface.co/google/tapas-... | 627 |
from __future__ import annotations
from collections.abc import Sequence
from typing import Literal
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ ) ->str | Literal[False]:
UpperCAmelCase = list(lowerCAmelCase_ )
UpperCAmelCase = list(lowerCAmelCas... | 627 | 1 |
__a = """0.21.0"""
from .accelerator import Accelerator
from .big_modeling import (
cpu_offload,
cpu_offload_with_hook,
disk_offload,
dispatch_model,
init_empty_weights,
init_on_device,
load_checkpoint_and_dispatch,
)
from .data_loader import skip_first_batches
from... | 627 |
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_torch, require_vision
from trans... | 627 | 1 |
class __lowercase :
def __init__( self : List[Any] , __lowerCamelCase : List[str] , __lowerCamelCase : str , __lowerCamelCase : int ) -> Optional[Any]:
"""simple docstring"""
... | 627 |
import math
import os
import re
import sys
import unittest
from pathlib import Path
from typing import Tuple
from unittest.mock import patch
from parameterized import parameterized
from transformers.testing_utils import (
CaptureStderr,
ExtendSysPath,
TestCasePlus,
execute_subproc... | 627 | 1 |
import math
def _UpperCamelCase ( lowerCAmelCase_ = 1_0_0 ) ->int:
UpperCAmelCase = sum(i * i for i in range(1 , n + 1 ) )
UpperCAmelCase = int(math.pow(sum(range(1 , n + 1 ) ) , 2 ) )
return square_of_sum - sum_of_squares
if __n... | 627 |
import pickle
import unittest
import torch
from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu
@require_cpu
class __lowercase ( unittest.TestCase ):
def _lowercase ( self : ... | 627 | 1 |
import unittest
from transformers import LiltConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device
from ...generation.test_utils import GenerationTesterMixin
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTester... | 627 |
from math import isqrt
def _UpperCamelCase ( lowerCAmelCase_ ) ->bool:
return all(number % divisor != 0 for divisor in range(2 , isqrt(lowerCAmelCase_ ) + 1 ) )
def _UpperCamelCase ( lowerCAmelCase_ = 1_0**6 ) ->int:
UpperCAmelCase = 0
UpperCAm... | 627 | 1 |
import warnings
from contextlib import contextmanager
from ...processing_utils import ProcessorMixin
from .feature_extraction_wavaveca import WavaVecaFeatureExtractor
from .tokenization_wavaveca import WavaVecaCTCTokenizer
class __lowercase ( __snake_case ):
UpperCamelCase ... | 627 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__a = logging.get_logger(__name__)
__a = {
"""facebook/nllb-moe-54B""": """https://huggingface.co/facebook/nllb-moe-54b/resolve/main/config.json""",
}
class __lowercase ( __snake_case ):... | 627 | 1 |
import inspect
import unittest
from transformers import MobileNetVaConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is_vision_available
from ...test_configuration_common import ConfigTester
... | 627 |
__a = [
(1000, """M"""),
(900, """CM"""),
(500, """D"""),
(400, """CD"""),
(100, """C"""),
(90, """XC"""),
(50, """L"""),
(40, """XL"""),
(10, """X"""),
(9, """IX"""),
(5, """V"""),
(4, """IV"""),
(1, """I"""),
]
def _UpperCamelCase ( ... | 627 | 1 |
from __future__ import annotations
import math
import numpy as np
from numpy.linalg import norm
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ ) ->float:
return math.sqrt(sum(pow(a - b , 2 ) for a, b in zip(lowerCAmelCase_ , lowerCAmelCase_ ) ) )
de... | 627 |
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ ) ->int:
return int((input_a, input_a).count(0 ) == 0 )
def _UpperCamelCase ( ) ->None:
assert and_gate(0 , 0 ) == 0
assert and_gate(0 , 1 ) == 0
assert and_gate(1 , 0 ) == 0
... | 627 | 1 |
def _UpperCamelCase ( lowerCAmelCase_ ) ->str: # noqa: E741
UpperCAmelCase = len(lowerCAmelCase_ )
UpperCAmelCase = 0
UpperCAmelCase = [0] * n
UpperCAmelCase = [False] * n
UpperCAmelCase = [False] * n
def dfs(lowerCAme... | 627 |
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transform... | 627 | 1 |
import importlib
import inspect
import os
import re
# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
__a = """src/transformers"""
# This is to make sure the transformers module imported is the o... | 627 |
from math import sqrt
def _UpperCamelCase ( lowerCAmelCase_ = 1_0_0_0_0_0_0 ) ->int:
UpperCAmelCase = 0
UpperCAmelCase = 0
UpperCAmelCase = 42
while num_cuboids <= limit:
max_cuboid_size += 1
for sum_shortest_sides in range(2 , ... | 627 | 1 |
import math
class __lowercase :
def _lowercase ( self : Union[str, Any] , __lowerCamelCase : list[list[float]] , __lowerCamelCase : list[int] ) -> int:
"""simple docstring"""
... | 627 |
from __future__ import annotations
def _UpperCamelCase ( lowerCAmelCase_ ) ->None:
create_state_space_tree(lowerCAmelCase_ , [] , 0 , [0 for i in range(len(lowerCAmelCase_ ) )] )
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAm... | 627 | 1 |
import os
import tempfile
import unittest
import numpy as np
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax, slow
if is_flax_available():
import jax
import jax.numpy as jnp
from flax.jax_utils import replicate
from flax.training.common_ut... | 627 |
import numpy
class __lowercase :
def __init__( self : Union[str, Any] , __lowerCamelCase : numpy.ndarray , __lowerCamelCase : numpy.ndarray ) -> None:
"""simple docstring"""
... | 627 | 1 |
import os
import tempfile
import unittest
from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property
@unittest.skipUnless(os.path.exists(__snake_case ) , ... | 627 |
import argparse
__a = """docs/source/_static/js/custom.js"""
def _UpperCamelCase ( lowerCAmelCase_ ) ->Optional[Any]:
with open(lowerCAmelCase_ , encoding="""utf-8""" , newline="""\n""" ) as f:
UpperCAmelCase = f.readlines()
UpperCAmelCase ... | 627 | 1 |
from typing import List, Union
from ..utils import (
add_end_docstrings,
is_tf_available,
is_torch_available,
is_vision_available,
logging,
requires_backends,
)
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_vision_available():
from PIL import Image
from ..image... | 627 |
import math
class __lowercase :
def _lowercase ( self : Union[str, Any] , __lowerCamelCase : list[list[float]] , __lowerCamelCase : list[int] ) -> int:
"""simple docstring"""
... | 627 | 1 |
import sys
__a = (
"""73167176531330624919225119674426574742355349194934"""
"""96983520312774506326239578318016984801869478851843"""
"""85861560789112949495459501737958331952853208805511"""
"""12540698747158523863050715693290963295227443043557"""
"""668966489504452445231617318564... | 627 |
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def _UpperCamelCase ( lowerCAmelCase_ ) ->int:
UpperCAmelCase = {}
UpperCAmelCase = tok... | 627 | 1 |
from collections.abc import Callable
class __lowercase :
def __init__( self : List[str] , __lowerCamelCase : Callable | None = None ) -> None:
"""simple docstring"""
UpperCAmelCase = ... | 627 |
from sklearn.metrics import fa_score, matthews_corrcoef
import datasets
from .record_evaluation import evaluate as evaluate_record
__a = """\
@article{wang2019superglue,
title={SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems},
author={Wang, Alex and Pruksach... | 627 | 1 |
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ ) ->int:
return int((input_a, input_a).count(0 ) == 0 )
def _UpperCamelCase ( ) ->None:
assert and_gate(0 , 0 ) == 0
assert and_gate(0 , 1 ) == 0
assert and_gate(1 , 0 ) == 0
... | 627 |
import math
import qiskit
def _UpperCamelCase ( lowerCAmelCase_ = 1 , lowerCAmelCase_ = 1 , lowerCAmelCase_ = 1 ) ->qiskit.result.counts.Counts:
if (
isinstance(lowerCAmelCase_ , lowerCAmelCase_ )
or isinstance(lowerCAmelCase_ , lowerCAmelCase_ ... | 627 | 1 |
def _UpperCamelCase ( lowerCAmelCase_ = 1_0_0_0 ) ->int:
return sum(e for e in range(3 , lowerCAmelCase_ ) if e % 3 == 0 or e % 5 == 0 )
if __name__ == "__main__":
print(F"""{solution() = }""")
| 627 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__a = logging.get_logger(__name__)
__a = {"""ctrl""": """https://huggingface.co/ctrl/resolve/main/config.json"""}
class __lowercase ( __snake_case ):
UpperCamelCase = '''ct... | 627 | 1 |
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class __lowercase ( __snake_case ):
UpperCamelCase = ['''image_processor''', '''tokenizer''']
UpperCamelCase = '''AutoImageProcessor'''
UpperCamel... | 627 |
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import DeiTConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
from ...test_configur... | 627 | 1 |
from collections.abc import Sequence
from queue import Queue
class __lowercase :
def __init__( self : Dict , __lowerCamelCase : Dict , __lowerCamelCase : List[Any] , __lowerCamelCase : Union[str, Any] , ... | 627 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__a = {"""configuration_ibert""": ["""IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """IBertConfig""", """IBertOnnxConfig"""]}
try:
if not is_torch_available():
raise OptionalDepen... | 627 | 1 |
import gc
import random
import unittest
import numpy as np
import torch
from transformers import XLMRobertaTokenizer
from diffusers import (
AltDiffusionImgaImgPipeline,
AutoencoderKL,
PNDMScheduler,
UNetaDConditionModel,
)
from diffusers.image_processor import VaeImageProcessor
f... | 627 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available
__a = {"""tokenization_herbert""": ["""HerbertTokenizer"""]}
try:
if not is_tokenizers_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotA... | 627 | 1 |
import sacrebleu as scb
from packaging import version
from sacrebleu import TER
import datasets
__a = """\
@inproceedings{snover-etal-2006-study,
title = \"A Study of Translation Edit Rate with Targeted Human Annotation\",
author = \"Snover, Matthew and
Dorr, Bonnie and
Schwa... | 627 |
from pickle import UnpicklingError
import jax
import jax.numpy as jnp
import numpy as np
from flax.serialization import from_bytes
from flax.traverse_util import flatten_dict
from ..utils import logging
__a = logging.get_logger(__name__)
def _UpperCamelCase ( lowerCAmelCase_ , ... | 627 | 1 |
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
__a = logging.get_logger(__name__)
__a = {"""vocab_file""": """spm_char.model"""}
... | 627 |
from __future__ import annotations
from collections.abc import Sequence
from typing import Literal
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ ) ->str | Literal[False]:
UpperCAmelCase = list(lowerCAmelCase_ )
UpperCAmelCase = list(lowerCAmelCas... | 627 | 1 |
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_torch, require_vision
from trans... | 627 |
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_torch, require_vision
from trans... | 627 | 1 |
import unittest
import numpy as np
from transformers import MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING, TF_MODEL_FOR_AUDIO_CLASSIFICATION_MAPPING
from transformers.pipelines import AudioClassificationPipeline, pipeline
from transformers.testing_utils import (
is_pipeline_test,
nested_simplify,
... | 627 |
import math
import os
import re
import sys
import unittest
from pathlib import Path
from typing import Tuple
from unittest.mock import patch
from parameterized import parameterized
from transformers.testing_utils import (
CaptureStderr,
ExtendSysPath,
TestCasePlus,
execute_subproc... | 627 | 1 |
def _UpperCamelCase ( lowerCAmelCase_ ) ->list[list]:
UpperCAmelCase = current_set.copy()
for row_index, row in enumerate(lowerCAmelCase_ ):
UpperCAmelCase = row[0]
for column_index, column in enumerate(lowerCAmelCase_ ):
if magnitude == 0:
... | 627 |
import pickle
import unittest
import torch
from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu
@require_cpu
class __lowercase ( unittest.TestCase ):
def _lowercase ( self : ... | 627 | 1 |
from math import isqrt, loga
def _UpperCamelCase ( lowerCAmelCase_ ) ->list[int]:
UpperCAmelCase = [True] * max_number
for i in range(2 , isqrt(max_number - 1 ) + 1 ):
if is_prime[i]:
for j in range(i**2 , lowerCAmelCase_ , lowerCAmelCase_... | 627 |
from math import isqrt
def _UpperCamelCase ( lowerCAmelCase_ ) ->bool:
return all(number % divisor != 0 for divisor in range(2 , isqrt(lowerCAmelCase_ ) + 1 ) )
def _UpperCamelCase ( lowerCAmelCase_ = 1_0**6 ) ->int:
UpperCAmelCase = 0
UpperCAm... | 627 | 1 |
import unittest
import numpy as np
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMixin, prepare_video_inputs
if is_torch_available():
... | 627 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__a = logging.get_logger(__name__)
__a = {
"""facebook/nllb-moe-54B""": """https://huggingface.co/facebook/nllb-moe-54b/resolve/main/config.json""",
}
class __lowercase ( __snake_case ):... | 627 | 1 |
import requests
__a = """YOUR API KEY"""
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ = giphy_api_key ) ->list:
UpperCAmelCase = """+""".join(query.split() )
UpperCAmelCase = F"""https://api.giphy.com/v1/gifs/search?q={formatted_query}&api_... | 627 |
__a = [
(1000, """M"""),
(900, """CM"""),
(500, """D"""),
(400, """CD"""),
(100, """C"""),
(90, """XC"""),
(50, """L"""),
(40, """XL"""),
(10, """X"""),
(9, """IX"""),
(5, """V"""),
(4, """IV"""),
(1, """I"""),
]
def _UpperCamelCase ( ... | 627 | 1 |
import warnings
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class __lowercase ( __snake_case ):
UpperCamelCase = ['''image_processor''', '''tokenizer''']
UpperCamelCase = '''CLIPImageProcessor''... | 627 |
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ ) ->int:
return int((input_a, input_a).count(0 ) == 0 )
def _UpperCamelCase ( ) ->None:
assert and_gate(0 , 0 ) == 0
assert and_gate(0 , 1 ) == 0
assert and_gate(1 , 0 ) == 0
... | 627 | 1 |
import unittest
import numpy as np
import torch
from diffusers import DDIMPipeline, DDIMScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu, slow, torch_device
from ..pipeline_params import UNCONDITIONAL_IMAGE_GENERATION_BATCH_PARAMS, UNCONDITIONA... | 627 |
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transform... | 627 | 1 |
def _UpperCamelCase ( lowerCAmelCase_ ) ->bool:
UpperCAmelCase = n ** (1 / 3)
return (val * val * val) == n
if __name__ == "__main__":
print(perfect_cube(27))
print(perfect_cube(4))
| 627 |
from math import sqrt
def _UpperCamelCase ( lowerCAmelCase_ = 1_0_0_0_0_0_0 ) ->int:
UpperCAmelCase = 0
UpperCAmelCase = 0
UpperCAmelCase = 42
while num_cuboids <= limit:
max_cuboid_size += 1
for sum_shortest_sides in range(2 , ... | 627 | 1 |
from __future__ import annotations
import inspect
import unittest
from typing import List, Tuple
from transformers import RegNetConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
from ...t... | 627 |
from __future__ import annotations
def _UpperCamelCase ( lowerCAmelCase_ ) ->None:
create_state_space_tree(lowerCAmelCase_ , [] , 0 , [0 for i in range(len(lowerCAmelCase_ ) )] )
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAm... | 627 | 1 |
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
UniSpeechConfig,
UniSpeechForCTC,
UniSpeechForPreTraining,
WavaVecaFeatureExtractor,
WavaVecaPhonemeCTCTokenizer,
WavaVecaProcessor,
logging... | 627 |
import numpy
class __lowercase :
def __init__( self : Union[str, Any] , __lowerCamelCase : numpy.ndarray , __lowerCamelCase : numpy.ndarray ) -> None:
"""simple docstring"""
... | 627 | 1 |
from __future__ import annotations
import requests
def _UpperCamelCase ( lowerCAmelCase_ ) ->dict:
UpperCAmelCase = F"""https://hacker-news.firebaseio.com/v0/item/{story_id}.json?print=pretty"""
return requests.get(lowerCAmelCase_ ).json()
def _UpperCamelCase ( ... | 627 |
import argparse
__a = """docs/source/_static/js/custom.js"""
def _UpperCamelCase ( lowerCAmelCase_ ) ->Optional[Any]:
with open(lowerCAmelCase_ , encoding="""utf-8""" , newline="""\n""" ) as f:
UpperCAmelCase = f.readlines()
UpperCAmelCase ... | 627 | 1 |
import json
import os
from typing import Optional
import numpy as np
from ...feature_extraction_utils import BatchFeature
from ...processing_utils import ProcessorMixin
from ...utils import logging
from ...utils.hub import get_file_from_repo
from ..auto import AutoTokenizer
__a = logging.ge... | 627 |
import math
class __lowercase :
def _lowercase ( self : Union[str, Any] , __lowerCamelCase : list[list[float]] , __lowerCamelCase : list[int] ) -> int:
"""simple docstring"""
... | 627 | 1 |
from queue import PriorityQueue
from typing import Any
import numpy as np
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelC... | 627 |
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def _UpperCamelCase ( lowerCAmelCase_ ) ->int:
UpperCAmelCase = {}
UpperCAmelCase = tok... | 627 | 1 |
import itertools
import json
import os
import unittest
from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow
from ...test_toke... | 627 |
from sklearn.metrics import fa_score, matthews_corrcoef
import datasets
from .record_evaluation import evaluate as evaluate_record
__a = """\
@article{wang2019superglue,
title={SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems},
author={Wang, Alex and Pruksach... | 627 | 1 |
import unittest
from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property
from ...test_tokenization_common import Token... | 627 |
import math
import qiskit
def _UpperCamelCase ( lowerCAmelCase_ = 1 , lowerCAmelCase_ = 1 , lowerCAmelCase_ = 1 ) ->qiskit.result.counts.Counts:
if (
isinstance(lowerCAmelCase_ , lowerCAmelCase_ )
or isinstance(lowerCAmelCase_ , lowerCAmelCase_ ... | 627 | 1 |
import dataclasses
import re
import string
from typing import Any, Dict, Iterator, List, Mapping, Optional, Sequence, Tuple
import numpy as np
from . import residue_constants
__a = Mapping[str, np.ndarray]
__a = Mapping[str, Any] # Is a nested dict.
__a = 0.01
@data... | 627 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__a = logging.get_logger(__name__)
__a = {"""ctrl""": """https://huggingface.co/ctrl/resolve/main/config.json"""}
class __lowercase ( __snake_case ):
UpperCamelCase = '''ct... | 627 | 1 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__a = logging.get_logger(__name__)
__a = {
"""facebook/timesformer""": """https://huggingface.co/facebook/timesformer/resolve/main/config.json""",
}
class __lowercase ( __snake_case ):
... | 627 |
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import DeiTConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
from ...test_configur... | 627 | 1 |
from typing import List, Optional, Union
import torch
from transformers import (
XLMRobertaTokenizer,
)
from ...models import UNetaDConditionModel, VQModel
from ...pipelines import DiffusionPipeline
from ...pipelines.pipeline_utils import ImagePipelineOutput
from ...schedulers import DDIMScheduler... | 627 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__a = {"""configuration_ibert""": ["""IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """IBertConfig""", """IBertOnnxConfig"""]}
try:
if not is_torch_available():
raise OptionalDepen... | 627 | 1 |
import numpy as np
class __lowercase :
def __init__( self : Union[str, Any] ) -> Dict:
"""simple docstring"""
UpperCAmelCase = (0, 0)
UpperCAmelCase = None
UpperCAmelCase ... | 627 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available
__a = {"""tokenization_herbert""": ["""HerbertTokenizer"""]}
try:
if not is_tokenizers_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotA... | 627 | 1 |
import argparse
import json
import logging
import os
import sys
from unittest.mock import patch
from transformers.testing_utils import TestCasePlus, get_gpu_count, slow
__a = [
os.path.join(os.path.dirname(__file__), dirname)
for dirname in [
"""text-classification""",
... | 627 |
from pickle import UnpicklingError
import jax
import jax.numpy as jnp
import numpy as np
from flax.serialization import from_bytes
from flax.traverse_util import flatten_dict
from ..utils import logging
__a = logging.get_logger(__name__)
def _UpperCamelCase ( lowerCAmelCase_ , ... | 627 | 1 |
from __future__ import annotations
from collections.abc import Iterator
from typing import Generic, TypeVar
__a = TypeVar("""T""")
class __lowercase ( Generic[T] ):
def __init__( self : Optional[int] , __lowerCamelCase : T ) -... | 627 |
from __future__ import annotations
from collections.abc import Sequence
from typing import Literal
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ ) ->str | Literal[False]:
UpperCAmelCase = list(lowerCAmelCase_ )
UpperCAmelCase = list(lowerCAmelCas... | 627 | 1 |
from typing import List
import jiwer
import jiwer.transforms as tr
from packaging import version
import datasets
from datasets.config import PY_VERSION
if PY_VERSION < version.parse("""3.8"""):
import importlib_metadata
else:
import importlib.metadata as importlib_metadata
__a = """"... | 627 |
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_torch, require_vision
from trans... | 627 | 1 |
import cmath
import math
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ ) ->complex:
UpperCAmelCase = math.radians(lowerCAmelCase_ )
UpperCAmelCase = math.radians(lowerCAmelCase_ )
# Convert vol... | 627 |
import math
import os
import re
import sys
import unittest
from pathlib import Path
from typing import Tuple
from unittest.mock import patch
from parameterized import parameterized
from transformers.testing_utils import (
CaptureStderr,
ExtendSysPath,
TestCasePlus,
execute_subproc... | 627 | 1 |
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ ) ->float:
if principal <= 0:
raise Exception("""Principal borrowed must be > 0""" )
if rate_per_annum < 0:
raise Exception("""Rate of interest must be >= 0""" )
if years_to_repay <... | 627 |
import pickle
import unittest
import torch
from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu
@require_cpu
class __lowercase ( unittest.TestCase ):
def _lowercase ( self : ... | 627 | 1 |
import warnings
from ...utils import logging
from .image_processing_mobilevit import MobileViTImageProcessor
__a = logging.get_logger(__name__)
class __lowercase ( __snake_case ):
def __init__( self : Dict , *__lowerCamelCase : Optio... | 627 |
from math import isqrt
def _UpperCamelCase ( lowerCAmelCase_ ) ->bool:
return all(number % divisor != 0 for divisor in range(2 , isqrt(lowerCAmelCase_ ) + 1 ) )
def _UpperCamelCase ( lowerCAmelCase_ = 1_0**6 ) ->int:
UpperCAmelCase = 0
UpperCAm... | 627 | 1 |
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import DetrConfig, DetrForObjectDetection, DetrForSegmentation, DetrImageProcessor, ResNetConfig
from transformers.utils import logging
... | 627 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__a = logging.get_logger(__name__)
__a = {
"""facebook/nllb-moe-54B""": """https://huggingface.co/facebook/nllb-moe-54b/resolve/main/config.json""",
}
class __lowercase ( __snake_case ):... | 627 | 1 |
from __future__ import annotations
__a = [
[-1, 0], # left
[0, -1], # down
[1, 0], # right
[0, 1], # up
]
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ , ) ->tuple[list[l... | 627 |
__a = [
(1000, """M"""),
(900, """CM"""),
(500, """D"""),
(400, """CD"""),
(100, """C"""),
(90, """XC"""),
(50, """L"""),
(40, """XL"""),
(10, """X"""),
(9, """IX"""),
(5, """V"""),
(4, """IV"""),
(1, """I"""),
]
def _UpperCamelCase ( ... | 627 | 1 |
# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | 627 |
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ ) ->int:
return int((input_a, input_a).count(0 ) == 0 )
def _UpperCamelCase ( ) ->None:
assert and_gate(0 , 0 ) == 0
assert and_gate(0 , 1 ) == 0
assert and_gate(1 , 0 ) == 0
... | 627 | 1 |
import pytest
from datasets.utils.sharding import _distribute_shards, _number_of_shards_in_gen_kwargs, _split_gen_kwargs
@pytest.mark.parametrize(
"""kwargs, expected""" , [
({"""num_shards""": 0, """max_num_jobs""": 1}, []),
({"""num_shards""": 1_0, """max_num_jobs""": 1}, [range... | 627 |
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transform... | 627 | 1 |
import json
import os
import tempfile
import unittest
import numpy as np
from datasets import load_dataset
from transformers.testing_utils import require_torch, require_vision, slow
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import Ima... | 627 |
from math import sqrt
def _UpperCamelCase ( lowerCAmelCase_ = 1_0_0_0_0_0_0 ) ->int:
UpperCAmelCase = 0
UpperCAmelCase = 0
UpperCAmelCase = 42
while num_cuboids <= limit:
max_cuboid_size += 1
for sum_shortest_sides in range(2 , ... | 627 | 1 |
from math import sqrt
def _UpperCamelCase ( lowerCAmelCase_ = 1_0_0_0_0_0_0 ) ->int:
UpperCAmelCase = 0
UpperCAmelCase = 0
UpperCAmelCase = 42
while num_cuboids <= limit:
max_cuboid_size += 1
for sum_shortest_sides in range(2 , ... | 627 |
from __future__ import annotations
def _UpperCamelCase ( lowerCAmelCase_ ) ->None:
create_state_space_tree(lowerCAmelCase_ , [] , 0 , [0 for i in range(len(lowerCAmelCase_ ) )] )
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAm... | 627 | 1 |
import pickle
import unittest
import torch
from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu
@require_cpu
class __lowercase ( unittest.TestCase ):
def _lowercase ( self : ... | 627 |
import numpy
class __lowercase :
def __init__( self : Union[str, Any] , __lowerCamelCase : numpy.ndarray , __lowerCamelCase : numpy.ndarray ) -> None:
"""simple docstring"""
... | 627 | 1 |
import logging
import os
from typing import Dict, List, Optional, Union
import torch
import torch.nn as nn
from accelerate.utils.imports import (
is_abit_bnb_available,
is_abit_bnb_available,
is_bnb_available,
)
from ..big_modeling import dispatch_model, init_empty_weights
from .datac... | 627 |
import argparse
__a = """docs/source/_static/js/custom.js"""
def _UpperCamelCase ( lowerCAmelCase_ ) ->Optional[Any]:
with open(lowerCAmelCase_ , encoding="""utf-8""" , newline="""\n""" ) as f:
UpperCAmelCase = f.readlines()
UpperCAmelCase ... | 627 | 1 |
import argparse
__a = """docs/source/_static/js/custom.js"""
def _UpperCamelCase ( lowerCAmelCase_ ) ->Optional[Any]:
with open(lowerCAmelCase_ , encoding="""utf-8""" , newline="""\n""" ) as f:
UpperCAmelCase = f.readlines()
UpperCAmelCase ... | 627 |
import math
class __lowercase :
def _lowercase ( self : Union[str, Any] , __lowerCamelCase : list[list[float]] , __lowerCamelCase : list[int] ) -> int:
"""simple docstring"""
... | 627 | 1 |
from typing import Dict, List, Optional, Union
import numpy as np
from .feature_extraction_utils import BatchFeature, FeatureExtractionMixin
from .utils import PaddingStrategy, TensorType, is_tf_tensor, is_torch_tensor, logging, to_numpy
__a = logging.get_logger(__name__)
class __... | 627 |
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def _UpperCamelCase ( lowerCAmelCase_ ) ->int:
UpperCAmelCase = {}
UpperCAmelCase = tok... | 627 | 1 |
from unittest.mock import patch
import pyspark
from datasets.packaged_modules.spark.spark import (
Spark,
SparkExamplesIterable,
_generate_iterable_examples,
)
from ..utils import (
require_dill_gt_0_3_2,
require_not_windows,
)
def _UpperCamelCase ( lowerCAmelCase_ ... | 627 |
from sklearn.metrics import fa_score, matthews_corrcoef
import datasets
from .record_evaluation import evaluate as evaluate_record
__a = """\
@article{wang2019superglue,
title={SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems},
author={Wang, Alex and Pruksach... | 627 | 1 |
import importlib.metadata
from typing import Union
from packaging.version import Version, parse
from .constants import STR_OPERATION_TO_FUNC
__a = parse(importlib.metadata.version("""torch"""))
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ ) ... | 627 |
import math
import qiskit
def _UpperCamelCase ( lowerCAmelCase_ = 1 , lowerCAmelCase_ = 1 , lowerCAmelCase_ = 1 ) ->qiskit.result.counts.Counts:
if (
isinstance(lowerCAmelCase_ , lowerCAmelCase_ )
or isinstance(lowerCAmelCase_ , lowerCAmelCase_ ... | 627 | 1 |
from ...utils import (
OptionalDependencyNotAvailable,
is_torch_available,
is_transformers_available,
is_transformers_version,
)
try:
if not (is_transformers_available() and is_torch_available()):
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
from ... | 627 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__a = logging.get_logger(__name__)
__a = {"""ctrl""": """https://huggingface.co/ctrl/resolve/main/config.json"""}
class __lowercase ( __snake_case ):
UpperCamelCase = '''ct... | 627 | 1 |
import argparse
import os
from pathlib import Path
from typing import Dict
import tensorflow as tf
import torch
from tqdm import tqdm
from transformers import PegasusConfig, PegasusForConditionalGeneration, PegasusTokenizer
from transformers.models.pegasus.configuration_pegasus import DEFAULTS, task_s... | 627 |
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import DeiTConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
from ...test_configur... | 627 | 1 |
import math
import qiskit
def _UpperCamelCase ( lowerCAmelCase_ = 1 , lowerCAmelCase_ = 1 , lowerCAmelCase_ = 1 ) ->qiskit.result.counts.Counts:
if (
isinstance(lowerCAmelCase_ , lowerCAmelCase_ )
or isinstance(lowerCAmelCase_ , lowerCAmelCase_ ... | 627 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__a = {"""configuration_ibert""": ["""IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """IBertConfig""", """IBertOnnxConfig"""]}
try:
if not is_torch_available():
raise OptionalDepen... | 627 | 1 |
import warnings
from collections import OrderedDict
from typing import Any, Mapping, Optional
from ... import PreTrainedTokenizer
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig, OnnxConfigWithPast, OnnxSeqaSeqConfigWithPast
from ...onnx.utils import compute_effective_ax... | 627 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available
__a = {"""tokenization_herbert""": ["""HerbertTokenizer"""]}
try:
if not is_tokenizers_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotA... | 627 | 1 |
def _UpperCamelCase ( lowerCAmelCase_ = 5_0 ) ->int:
UpperCAmelCase = [1] * (length + 1)
for row_length in range(length + 1 ):
for tile_length in range(2 , 5 ):
for tile_start in range(row_length - tile_length + 1 ):
ways_number[row_le... | 627 |
from pickle import UnpicklingError
import jax
import jax.numpy as jnp
import numpy as np
from flax.serialization import from_bytes
from flax.traverse_util import flatten_dict
from ..utils import logging
__a = logging.get_logger(__name__)
def _UpperCamelCase ( lowerCAmelCase_ , ... | 627 | 1 |
from string import ascii_uppercase
__a = {str(ord(c) - 55): c for c in ascii_uppercase}
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ ) ->str:
if isinstance(lowerCAmelCase_ , lowerCAmelCase_ ):
raise TypeError("""int() can't convert non-string with exp... | 627 |
from __future__ import annotations
from collections.abc import Sequence
from typing import Literal
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ ) ->str | Literal[False]:
UpperCAmelCase = list(lowerCAmelCase_ )
UpperCAmelCase = list(lowerCAmelCas... | 627 | 1 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__a = logging.get_logger(__name__)
__a = {"""ctrl""": """https://huggingface.co/ctrl/resolve/main/config.json"""}
class __lowercase ( __snake_case ):
UpperCamelCase = '''ct... | 627 |
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_torch, require_vision
from trans... | 627 | 1 |
import unittest
from transformers import JukeboxTokenizer
from transformers.testing_utils import require_torch
class __lowercase ( unittest.TestCase ):
UpperCamelCase = JukeboxTokenizer
UpperCamelCase = {
'''artist''': '''Zac Brown Band'''... | 627 |
import math
import os
import re
import sys
import unittest
from pathlib import Path
from typing import Tuple
from unittest.mock import patch
from parameterized import parameterized
from transformers.testing_utils import (
CaptureStderr,
ExtendSysPath,
TestCasePlus,
execute_subproc... | 627 | 1 |
import unittest
from transformers import is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device
from ...generation.test_utils import GenerationTesterMixin
from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, ids_t... | 627 |
import pickle
import unittest
import torch
from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu
@require_cpu
class __lowercase ( unittest.TestCase ):
def _lowercase ( self : ... | 627 | 1 |
import random
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAmelCase_ ) ->Tuple:
UpperCAmelCase = a[left_index]
UpperCAmelCase = left_index + 1
for j in range(left_index + 1 , lowerCAmelCase_ ):
if a[j] < pivot:
... | 627 |
from math import isqrt
def _UpperCamelCase ( lowerCAmelCase_ ) ->bool:
return all(number % divisor != 0 for divisor in range(2 , isqrt(lowerCAmelCase_ ) + 1 ) )
def _UpperCamelCase ( lowerCAmelCase_ = 1_0**6 ) ->int:
UpperCAmelCase = 0
UpperCAm... | 627 | 1 |
from collections import OrderedDict
from typing import Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
__a = logging.get_logger(__name__)
__a = {
"""facebook/data2vec-vision-base... | 627 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__a = logging.get_logger(__name__)
__a = {
"""facebook/nllb-moe-54B""": """https://huggingface.co/facebook/nllb-moe-54b/resolve/main/config.json""",
}
class __lowercase ( __snake_case ):... | 627 | 1 |
import os
import random
import sys
from . import cryptomath_module as cryptoMath # noqa: N812
from . import rabin_miller as rabinMiller # noqa: N812
def _UpperCamelCase ( ) ->None:
print("""Making key files...""" )
make_key_files("""rsa""" , 1_0_2_4 )
print("""Key fil... | 627 |
__a = [
(1000, """M"""),
(900, """CM"""),
(500, """D"""),
(400, """CD"""),
(100, """C"""),
(90, """XC"""),
(50, """L"""),
(40, """XL"""),
(10, """X"""),
(9, """IX"""),
(5, """V"""),
(4, """IV"""),
(1, """I"""),
]
def _UpperCamelCase ( ... | 627 | 1 |
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ = " " ) ->list:
UpperCAmelCase = []
UpperCAmelCase = 0
for index, char in enumerate(lowerCAmelCase_ ):
if char == separator:
split_words.append(string[last_index:index] )
... | 627 |
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ ) ->int:
return int((input_a, input_a).count(0 ) == 0 )
def _UpperCamelCase ( ) ->None:
assert and_gate(0 , 0 ) == 0
assert and_gate(0 , 1 ) == 0
assert and_gate(1 , 0 ) == 0
... | 627 | 1 |
import comet # From: unbabel-comet
import torch
import datasets
__a = datasets.logging.get_logger(__name__)
__a = """\
@inproceedings{rei-EtAl:2020:WMT,
author = {Rei, Ricardo and Stewart, Craig and Farinha, Ana C and Lavie, Alon},
title = {Unbabel's Participation in th... | 627 |
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_vision
from transform... | 627 | 1 |
from typing import TYPE_CHECKING
from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__a = {
"""configuration_mctct""": ["""MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MCTCTConfig"""],
"""feature_extraction_mctct""": ["""MCTCTFeatureExtractor"""],
"""p... | 627 |
from math import sqrt
def _UpperCamelCase ( lowerCAmelCase_ = 1_0_0_0_0_0_0 ) ->int:
UpperCAmelCase = 0
UpperCAmelCase = 0
UpperCAmelCase = 42
while num_cuboids <= limit:
max_cuboid_size += 1
for sum_shortest_sides in range(2 , ... | 627 | 1 |
import sys
import webbrowser
import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent
if __name__ == "__main__":
print("""Googling.....""")
__a = """https://www.google.com/search?q=""" + """ """.join(sys.argv[1:])
__a = requests.get(url, headers={"""UserAgent""... | 627 |
from __future__ import annotations
def _UpperCamelCase ( lowerCAmelCase_ ) ->None:
create_state_space_tree(lowerCAmelCase_ , [] , 0 , [0 for i in range(len(lowerCAmelCase_ ) )] )
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ , lowerCAm... | 627 | 1 |
import math
from typing import List, Optional, Tuple, Union
import numpy as np
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from .scheduling_utils import SchedulerMixin, SchedulerOutput
class __lowercase ( __snake_case , __snake_case ):
Upp... | 627 |
import numpy
class __lowercase :
def __init__( self : Union[str, Any] , __lowerCamelCase : numpy.ndarray , __lowerCamelCase : numpy.ndarray ) -> None:
"""simple docstring"""
... | 627 | 1 |
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
get_resize_output_image_size,
normalize,
rescale,
resize,
to_channel_dimension... | 627 |
import argparse
__a = """docs/source/_static/js/custom.js"""
def _UpperCamelCase ( lowerCAmelCase_ ) ->Optional[Any]:
with open(lowerCAmelCase_ , encoding="""utf-8""" , newline="""\n""" ) as f:
UpperCAmelCase = f.readlines()
UpperCAmelCase ... | 627 | 1 |
import argparse
import torch
from transformers import BlenderbotConfig, BlenderbotForConditionalGeneration
from transformers.utils import logging
logging.set_verbosity_info()
__a = logging.get_logger(__name__)
__a = [
["""attention""", """attn"""],
["""encoder_attention""", "... | 627 |
import math
class __lowercase :
def _lowercase ( self : Union[str, Any] , __lowerCamelCase : list[list[float]] , __lowerCamelCase : list[int] ) -> int:
"""simple docstring"""
... | 627 | 1 |
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def _UpperCamelCase ( lowerCAmelCase_ ) ->int:
UpperCAmelCase = {}
UpperCAmelCase = tok... | 627 |
import multiprocessing
import time
from arguments import PretokenizationArguments
from datasets import load_dataset
from transformers import AutoTokenizer, HfArgumentParser
def _UpperCamelCase ( lowerCAmelCase_ ) ->int:
UpperCAmelCase = {}
UpperCAmelCase = tok... | 627 | 1 |
from __future__ import annotations
import unittest
import numpy as np
from transformers import OPTConfig, is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFMode... | 627 |
from sklearn.metrics import fa_score, matthews_corrcoef
import datasets
from .record_evaluation import evaluate as evaluate_record
__a = """\
@article{wang2019superglue,
title={SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems},
author={Wang, Alex and Pruksach... | 627 | 1 |
import unittest
import numpy as np
from transformers import RobertaConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
if is_flax_available():
from trans... | 627 |
import math
import qiskit
def _UpperCamelCase ( lowerCAmelCase_ = 1 , lowerCAmelCase_ = 1 , lowerCAmelCase_ = 1 ) ->qiskit.result.counts.Counts:
if (
isinstance(lowerCAmelCase_ , lowerCAmelCase_ )
or isinstance(lowerCAmelCase_ , lowerCAmelCase_ ... | 627 | 1 |
import json
import unittest
import numpy as np
from huggingface_hub import hf_hub_download
from transformers.testing_utils import require_torch, require_vision
from transformers.utils import is_torch_available, is_vision_available
from ...test_image_processing_common import ImageProcessingSavingTestMi... | 627 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__a = logging.get_logger(__name__)
__a = {"""ctrl""": """https://huggingface.co/ctrl/resolve/main/config.json"""}
class __lowercase ( __snake_case ):
UpperCamelCase = '''ct... | 627 | 1 |
import json
import os
import shutil
import tempfile
import unittest
from multiprocessing import get_context
from pathlib import Path
import datasets
import numpy as np
from datasets import load_dataset
from parameterized import parameterized
from transformers import AutoProcessor
from transformers... | 627 |
from __future__ import annotations
import inspect
import unittest
import numpy as np
from transformers import DeiTConfig
from transformers.testing_utils import require_tf, require_vision, slow
from transformers.utils import cached_property, is_tf_available, is_vision_available
from ...test_configur... | 627 | 1 |
import os
from tempfile import TemporaryDirectory
from unittest import TestCase
import pytest
from absl.testing import parameterized
from datasets import config
from datasets.arrow_reader import HF_GCP_BASE_URL
from datasets.builder import DatasetBuilder
from datasets.dataset_dict import IterableDatas... | 627 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__a = {"""configuration_ibert""": ["""IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """IBertConfig""", """IBertOnnxConfig"""]}
try:
if not is_torch_available():
raise OptionalDepen... | 627 | 1 |
import gc
import unittest
from diffusers import FlaxDPMSolverMultistepScheduler, FlaxStableDiffusionPipeline
from diffusers.utils import is_flax_available, slow
from diffusers.utils.testing_utils import require_flax
if is_flax_available():
import jax
import jax.numpy as jnp
from flax.jax_utils im... | 627 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available
__a = {"""tokenization_herbert""": ["""HerbertTokenizer"""]}
try:
if not is_tokenizers_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotA... | 627 | 1 |
from __future__ import annotations
__a = list[tuple[int, int]]
__a = [
[0, 0, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0, 0], # 0 are free path whereas 1's are obstacles
[0, 0, 0, 0, 0, 0, 0],
[0, 0, 1, 0, 0, 0, 0],
[1, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0],
[0, 0, ... | 627 |
from pickle import UnpicklingError
import jax
import jax.numpy as jnp
import numpy as np
from flax.serialization import from_bytes
from flax.traverse_util import flatten_dict
from ..utils import logging
__a = logging.get_logger(__name__)
def _UpperCamelCase ( lowerCAmelCase_ , ... | 627 | 1 |
from math import isqrt
def _UpperCamelCase ( lowerCAmelCase_ ) ->bool:
return all(number % divisor != 0 for divisor in range(2 , isqrt(lowerCAmelCase_ ) + 1 ) )
def _UpperCamelCase ( lowerCAmelCase_ = 1_0**6 ) ->int:
UpperCAmelCase = 0
UpperCAm... | 627 |
from __future__ import annotations
from collections.abc import Sequence
from typing import Literal
def _UpperCamelCase ( lowerCAmelCase_ , lowerCAmelCase_ ) ->str | Literal[False]:
UpperCAmelCase = list(lowerCAmelCase_ )
UpperCAmelCase = list(lowerCAmelCas... | 627 | 1 |
from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
LineByLineTextDataset,
LineByLineWithRefDataset,
LineByLineWithSOPTextDataset,
TextDataset,
TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments
... | 627 |
import json
import os
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_torch, require_vision
from trans... | 627 | 1 |
from typing import TYPE_CHECKING
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
__a = {"""configuration_ibert""": ["""IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """IBertConfig""", """IBertOnnxConfig"""]}
try:
if not is_torch_available():
raise OptionalDepen... | 627 |
import math
import os
import re
import sys
import unittest
from pathlib import Path
from typing import Tuple
from unittest.mock import patch
from parameterized import parameterized
from transformers.testing_utils import (
CaptureStderr,
ExtendSysPath,
TestCasePlus,
execute_subproc... | 627 | 1 |
import enum
import os
from hashlib import shaaaa
from typing import Optional
from .. import config
from .logging import get_logger
__a = get_logger(__name__)
class __lowercase ( enum.Enum ):
UpperCamelCase = '''all_checks'''
UpperCamelCase = ... | 627 |
import pickle
import unittest
import torch
from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu
@require_cpu
class __lowercase ( unittest.TestCase ):
def _lowercase ( self : ... | 627 | 1 |
from typing import Dict, List, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import (
center_crop,
convert_to_rgb,
get_resize_output_image_size,
normalize,
rescale,
resize,
... | 627 |
from math import isqrt
def _UpperCamelCase ( lowerCAmelCase_ ) ->bool:
return all(number % divisor != 0 for divisor in range(2 , isqrt(lowerCAmelCase_ ) + 1 ) )
def _UpperCamelCase ( lowerCAmelCase_ = 1_0**6 ) ->int:
UpperCAmelCase = 0
UpperCAm... | 627 | 1 |
from __future__ import annotations
import unittest
from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
if is_tf_available():
import numpy as np
import tensorflow as tf
from transformers import TFCamembertMo... | 627 |
from ...configuration_utils import PretrainedConfig
from ...utils import logging
__a = logging.get_logger(__name__)
__a = {
"""facebook/nllb-moe-54B""": """https://huggingface.co/facebook/nllb-moe-54b/resolve/main/config.json""",
}
class __lowercase ( __snake_case ):... | 627 | 1 |
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | 627 |
__a = [
(1000, """M"""),
(900, """CM"""),
(500, """D"""),
(400, """CD"""),
(100, """C"""),
(90, """XC"""),
(50, """L"""),
(40, """XL"""),
(10, """X"""),
(9, """IX"""),
(5, """V"""),
(4, """IV"""),
(1, """I"""),
]
def _UpperCamelCase ( ... | 627 | 1 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.