code stringlengths 87 55.2k | code_codestyle int64 0 349 | style_context stringlengths 135 49.1k | style_context_codestyle int64 0 349 | label int64 0 1 |
|---|---|---|---|---|
"""simple docstring"""
import os
import socket
from contextlib import contextmanager
import torch
from ..commands.config.default import write_basic_config # noqa: F401
from ..state import PartialState
from .dataclasses import DistributedType
from .imports import is_deepspeed_available, is_tpu... | 45 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowercase_ = {"con... | 45 | 1 |
"""simple docstring"""
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
lowercase_ = logging.get_logger(__name__)
lowercase_... | 45 |
"""simple docstring"""
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iter... | 45 | 1 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int , lowerCAmelCase__ : int ) -> int:
return int((input_a, input_a).count(1 ) != 0 )
def lowercase ( ) -> None:
assert or_gate(0 , 0 ) == 0
assert or_gate(0 , ... | 45 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowercase_ = {
"configuration_roformer": ["ROF... | 45 | 1 |
"""simple docstring"""
import argparse
import json
import os
import fairseq
import torch
from fairseq.data import Dictionary
from transformers import (
WavaVecaConfig,
WavaVecaCTCTokenizer,
WavaVecaFeatureExtractor,
WavaVecaForCTC,
WavaVecaForPreTraining,
WavaVecaP... | 45 |
"""simple docstring"""
import warnings
from ..trainer import Trainer
from ..utils import logging
lowercase_ = logging.get_logger(__name__)
class __lowerCAmelCase ( __SCREAMING_SNAKE_CASE ):
'''simple docstring'''
def __init__( self , _a=None ... | 45 | 1 |
"""simple docstring"""
class __lowerCAmelCase : # Public class to implement a graph
'''simple docstring'''
def __init__( self , _a , _a , _a ):
__a = row
__a = col
__a = graph
def __UpperCAmelCase... | 45 |
"""simple docstring"""
import math
def lowercase ( lowerCAmelCase__ : list , lowerCAmelCase__ : int ) -> int:
__a = len(lowerCAmelCase__ )
__a = int(math.floor(math.sqrt(lowerCAmelCase__ ) ) )
__a = 0
while arr... | 45 | 1 |
"""simple docstring"""
import argparse
import requests
import torch
from PIL import Image
from transformers import CLIPProcessor, GroupViTConfig, GroupViTModel
def lowercase ( lowerCAmelCase__ : int ) -> Optional[int]:
# vision encoder
if "img_encoder.pos_embed" ... | 45 |
"""simple docstring"""
lowercase_ = [4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = [3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = {
0: "Sunday",
1: "Monday",
2: "Tuesday",
3: "Wednesday",
4: "Thursday",
5: "Friday",
6: "Saturday",
}
d... | 45 | 1 |
"""simple docstring"""
import unittest
import torch
from diffusers import DDIMScheduler, DDPMScheduler, UNetaDModel
from diffusers.training_utils import set_seed
from diffusers.utils.testing_utils import slow
lowercase_ = False
class __lowerCAmelCase ( unittest.TestCase ... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : list ) -> bool:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise ValueError('''Input series is not valid, valid series - [2, 4, 6]''' )
if len(lowerCAmelCase__ ) == 0:
raise Value... | 45 | 1 |
"""simple docstring"""
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from timm import create_model
from timm.data import resolve_data_config
from timm.data.transforms_factory import create_tra... | 45 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from ..utils import logging
from . import BaseTransformersCLICommand
def lowercase ( lowerCAmelCase__ : Namespace ) -> Tuple:
return ConvertCommand(
args.model_type , args.tf_checkpoint ... | 45 | 1 |
"""simple docstring"""
import doctest
from collections import deque
import numpy as np
class __lowerCAmelCase :
'''simple docstring'''
def __init__( self ):
__a = [2, 1, 2, -1]
__a = [1, 2, 3, 4]
def __UpperCAmelCase ... | 45 |
"""simple docstring"""
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
lowercase_ = logging.get_logger(__name__)
lowercase_... | 45 | 1 |
"""simple docstring"""
from typing import Dict, Iterable, Optional, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import normalize, rescale, resize, to_channel_dimension_format, to_pil_image
from ...image_ut... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str ) -> list:
if n_term == "":
return []
__a = []
for temp in range(int(lowerCAmelCase__ ) ):
series.append(f'''1/{temp + 1}''' if series else '''1''' )
return series
if __name... | 45 | 1 |
"""simple docstring"""
import argparse
import logging
import os
import re
import tensorflow as tf
from transformers import (
AutoConfig,
AutoTokenizer,
DataCollatorForLanguageModeling,
PushToHubCallback,
TFAutoModelForMaskedLM,
create_optimizer,
)
lowercase_ ... | 45 |
"""simple docstring"""
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union
import pyarrow as pa
if TYPE_CHECKING:
from .features import FeatureType
@dataclass
class __lowerCAmelCase :
'''simple docstring'''
... | 45 | 1 |
"""simple docstring"""
import os
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import torch
from torch import nn
from ...models.controlnet import ControlNetModel, ControlNetOutput
from ...models.modeling_utils import ModelMixin
from ...utils import logging
lowercase_... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int , lowerCAmelCase__ : list ) -> List[Any]:
_enforce_args(lowerCAmelCase__ , lowerCAmelCase__ )
if n == 0:
return 0
__a = float('''-inf''' )
for i in range(1 , n ... | 45 | 1 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : List[Any] , lowerCAmelCase__ : List[Any] ) -> Optional[Any]:
return (pointa[0] - pointa[0]) ** 2 + (pointa[1] - pointa[1]) ** 2
def lowercase ( lowerCAmelCase__ : int , lowerCAmelC... | 45 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase_ = {"configuration_unispeech": ["UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MA... | 45 | 1 |
"""simple docstring"""
import json
import logging
import os
import sys
from pathlib import Path
import finetune_rag
from transformers.file_utils import is_apex_available
from transformers.testing_utils import (
TestCasePlus,
execute_subprocess_async,
require_ray,
require_to... | 45 |
"""simple docstring"""
import unittest
import torch
from torch import nn
from diffusers.models.activations import get_activation
class __lowerCAmelCase ( unittest.TestCase ):
'''simple docstring'''
def __UpperCAmelCase ( self ):
__a =... | 45 | 1 |
"""simple docstring"""
import inspect
import unittest
from huggingface_hub import hf_hub_download
from transformers import ASTConfig
from transformers.testing_utils import require_torch, require_torchaudio, slow, torch_device
from transformers.utils import cached_property, is_torch_available, is... | 45 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import EsmConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin,... | 45 | 1 |
"""simple docstring"""
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import torch
import torch.nn as nn
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .embeddings import GaussianFourierProjection, TimestepEmbed... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int ) -> str:
if number > 0:
raise ValueError('''input must be a negative integer''' )
__a = len(bin(lowerCAmelCase__ )[3:] )
__a = bin(abs(lowerCAmelCase__ ) - (1 << binary_nu... | 45 | 1 |
"""simple docstring"""
import json
import os
from typing import Optional, Tuple
import regex as re
from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowercase_ = {
"vocab_file": "vocab.json",
... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str , lowerCAmelCase__ : list[str] ) -> str:
__a = ''''''
for word_or_phrase in separated:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise Exception('''join(... | 45 | 1 |
"""simple docstring"""
from __future__ import annotations
import requests
lowercase_ = set(
"approved_at_utc approved_by author_flair_background_color\nauthor_flair_css_class author_flair_richtext author_flair_template_id author_fullname\nauthor_premium can_mod_post category clicked co... | 45 |
"""simple docstring"""
lowercase_ = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"
def lowercase ( lowerCAmelCase__ : bytes ) -> bytes:
# Make sure the supplied data is a bytes-like object
if not isinstance(lowerCAmelCase__ , lowerCAmel... | 45 | 1 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
lowercase_ = {
"albert-base-v1": "https://huggingface.co/albert-base-v1/resolve/main/config.json",
"albert-l... | 45 |
"""simple docstring"""
import inspect
import os
import unittest
import torch
import accelerate
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_multi_gpu
from accelerate.utils import patch_environment
class __lowerCAmelCase ( un... | 45 | 1 |
"""simple docstring"""
import unittest
from transformers import AutoTokenizer, is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, slow
if is_flax_available():
import jax.numpy as jnp
from transformers import FlaxXLMRobert... | 45 |
"""simple docstring"""
import numpy as np
def lowercase ( lowerCAmelCase__ : np.ndarray , lowerCAmelCase__ : float ) -> np.ndarray:
return np.where(vector > 0 , lowerCAmelCase__ , (alpha * (np.exp(lowerCAmelCase__ ) - 1)) )
if __name__ == "... | 45 | 1 |
"""simple docstring"""
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
lowercase_ = logging.get_logger(__name__)
lowercase_ ... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str = "The quick brown fox jumps over the lazy dog" , ) -> bool:
__a = set()
# Replace all the whitespace in our sentence
__a = input_str.replace(''' ''' , '''''' )
for a... | 45 | 1 |
"""simple docstring"""
from __future__ import annotations
def lowercase ( lowerCAmelCase__ : list[int] , lowerCAmelCase__ : list[int] , lowerCAmelCase__ : list[int] , lowerCAmelCase__ : list[list[str]] , lowerCAmelCase__ : int , ) ->... | 45 |
"""simple docstring"""
import gc
import unittest
from transformers import CTRLConfig, 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... | 45 | 1 |
"""simple docstring"""
import math
def lowercase ( lowerCAmelCase__ : int ) -> bool:
if 1 < number < 4:
# 2 and 3 are primes
return True
elif number < 2 or number % 2 == 0 or number % 3 == 0:
# Negatives, 0, 1, all even numbers, all multiples of 3 are no... | 45 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowercase_ = {"con... | 45 | 1 |
"""simple docstring"""
from math import factorial, pi
def lowercase ( lowerCAmelCase__ : float , lowerCAmelCase__ : int = 30 ) -> float:
if not isinstance(lowerCAmelCase__ , (int, float) ):
raise ValueError('''maclaurin_sin() requires either an in... | 45 |
"""simple docstring"""
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iter... | 45 | 1 |
"""simple docstring"""
import torch
from diffusers import DDPMParallelScheduler
from .test_schedulers import SchedulerCommonTest
class __lowerCAmelCase ( __SCREAMING_SNAKE_CASE ):
'''simple docstring'''
__UpperCAmelCase : Optional[Any] = (DDPMParalle... | 45 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowercase_ = {
"configuration_roformer": ["ROF... | 45 | 1 |
"""simple docstring"""
import io
import itertools
import json
from dataclasses import dataclass
from typing import Optional
import pyarrow as pa
import pyarrow.json as paj
import datasets
from datasets.table import table_cast
from datasets.utils.file_utils import readline
lowercase_ ... | 45 |
"""simple docstring"""
import warnings
from ..trainer import Trainer
from ..utils import logging
lowercase_ = logging.get_logger(__name__)
class __lowerCAmelCase ( __SCREAMING_SNAKE_CASE ):
'''simple docstring'''
def __init__( self , _a=None ... | 45 | 1 |
"""simple docstring"""
import json
import pathlib
import unittest
import numpy as np
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 ImageProcessingSav... | 45 |
"""simple docstring"""
import math
def lowercase ( lowerCAmelCase__ : list , lowerCAmelCase__ : int ) -> int:
__a = len(lowerCAmelCase__ )
__a = int(math.floor(math.sqrt(lowerCAmelCase__ ) ) )
__a = 0
while arr... | 45 | 1 |
"""simple docstring"""
lowercase_ = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"
def lowercase ( lowerCAmelCase__ : bytes ) -> bytes:
# Make sure the supplied data is a bytes-like object
if not isinstance(lowerCAmelCase__ , lowerCAmel... | 45 |
"""simple docstring"""
lowercase_ = [4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = [3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = {
0: "Sunday",
1: "Monday",
2: "Tuesday",
3: "Wednesday",
4: "Thursday",
5: "Friday",
6: "Saturday",
}
d... | 45 | 1 |
"""simple docstring"""
from __future__ import annotations
import os
import tempfile
import unittest
from transformers import ConvBertConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : list ) -> bool:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise ValueError('''Input series is not valid, valid series - [2, 4, 6]''' )
if len(lowerCAmelCase__ ) == 0:
raise Value... | 45 | 1 |
"""simple docstring"""
import unittest
from knapsack import greedy_knapsack as kp
class __lowerCAmelCase ( unittest.TestCase ):
'''simple docstring'''
def __UpperCAmelCase ( self ):
__a = [10, 20, 30, 40, 50, 60]
__a = ... | 45 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from ..utils import logging
from . import BaseTransformersCLICommand
def lowercase ( lowerCAmelCase__ : Namespace ) -> Tuple:
return ConvertCommand(
args.model_type , args.tf_checkpoint ... | 45 | 1 |
"""simple docstring"""
from ..utils import DummyObject, requires_backends
class __lowerCAmelCase ( metaclass=__SCREAMING_SNAKE_CASE ):
'''simple docstring'''
__UpperCAmelCase : Optional[int] = ['sentencepiece']
def __init__( self , *_a , ... | 45 |
"""simple docstring"""
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
lowercase_ = logging.get_logger(__name__)
lowercase_... | 45 | 1 |
"""simple docstring"""
from unittest import TestCase
from datasets import Sequence, Value
from datasets.arrow_dataset import Dataset
class __lowerCAmelCase ( __SCREAMING_SNAKE_CASE ):
'''simple docstring'''
def __UpperCAmelCase ( self ):
return [
... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str ) -> list:
if n_term == "":
return []
__a = []
for temp in range(int(lowerCAmelCase__ ) ):
series.append(f'''1/{temp + 1}''' if series else '''1''' )
return series
if __name... | 45 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowercase_ = {
"microsoft/markuplm-base": "https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json",
"micros... | 45 |
"""simple docstring"""
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union
import pyarrow as pa
if TYPE_CHECKING:
from .features import FeatureType
@dataclass
class __lowerCAmelCase :
'''simple docstring'''
... | 45 | 1 |
"""simple docstring"""
from copy import deepcopy
class __lowerCAmelCase :
'''simple docstring'''
def __init__( self , _a = None , _a = None ):
if arr is None and size is not None:
__a = size
__a = [0] * size
eli... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int , lowerCAmelCase__ : list ) -> List[Any]:
_enforce_args(lowerCAmelCase__ , lowerCAmelCase__ )
if n == 0:
return 0
__a = float('''-inf''' )
for i in range(1 , n ... | 45 | 1 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str ) -> list[int]:
__a = [0 for i in range(len(lowerCAmelCase__ ) )]
# initialize interval's left pointer and right pointer
__a , __a = 0, 0
for i in range(1 , l... | 45 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase_ = {"configuration_unispeech": ["UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MA... | 45 | 1 |
"""simple docstring"""
import json
import pathlib
import unittest
import numpy as np
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 ImageProcessingSav... | 45 |
"""simple docstring"""
import unittest
import torch
from torch import nn
from diffusers.models.activations import get_activation
class __lowerCAmelCase ( unittest.TestCase ):
'''simple docstring'''
def __UpperCAmelCase ( self ):
__a =... | 45 | 1 |
"""simple docstring"""
from manim import *
class __lowerCAmelCase ( __SCREAMING_SNAKE_CASE ):
'''simple docstring'''
def __UpperCAmelCase ( self ):
__a = Rectangle(height=0.5 , width=0.5 )
__a = Rectangle(height... | 45 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import EsmConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin,... | 45 | 1 |
"""simple docstring"""
import math
def lowercase ( lowerCAmelCase__ : int = 100 ) -> int:
__a = sum(i * i for i in range(1 , n + 1 ) )
__a = int(math.pow(sum(range(1 , n + 1 ) ) , 2 ) )
return square_of_sum - su... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int ) -> str:
if number > 0:
raise ValueError('''input must be a negative integer''' )
__a = len(bin(lowerCAmelCase__ )[3:] )
__a = bin(abs(lowerCAmelCase__ ) - (1 << binary_nu... | 45 | 1 |
"""simple docstring"""
import enum
import os
from hashlib import shaaaa
from typing import Optional
from .. import config
from .logging import get_logger
lowercase_ = get_logger(__name__)
class __lowerCAmelCase ( enum.Enum ):
'''simple docstring'''
__... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str , lowerCAmelCase__ : list[str] ) -> str:
__a = ''''''
for word_or_phrase in separated:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise Exception('''join(... | 45 | 1 |
"""simple docstring"""
import argparse
import os
import re
import numpy as np
import PIL
import torch
from timm import create_model
from torch.optim.lr_scheduler import OneCycleLR
from torch.utils.data import DataLoader, Dataset
from torchvision.transforms import Compose, RandomResizedCrop, Re... | 45 |
"""simple docstring"""
lowercase_ = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"
def lowercase ( lowerCAmelCase__ : bytes ) -> bytes:
# Make sure the supplied data is a bytes-like object
if not isinstance(lowerCAmelCase__ , lowerCAmel... | 45 | 1 |
"""simple docstring"""
from argparse import ArgumentParser
from . import BaseTransformersCLICommand
def lowercase ( lowerCAmelCase__ : List[Any] ) -> Any:
return DownloadCommand(args.model , args.cache_dir , args.force , args.trust_remote_code )
... | 45 |
"""simple docstring"""
import inspect
import os
import unittest
import torch
import accelerate
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_multi_gpu
from accelerate.utils import patch_environment
class __lowerCAmelCase ( un... | 45 | 1 |
"""simple docstring"""
import pytest
from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict
@pytest.mark.parametrize(
'''split_dict''' , [
SplitDict(),
SplitDict({'''train''': SplitInfo(name='''train''' , num_bytes=1337 ,... | 45 |
"""simple docstring"""
import numpy as np
def lowercase ( lowerCAmelCase__ : np.ndarray , lowerCAmelCase__ : float ) -> np.ndarray:
return np.where(vector > 0 , lowerCAmelCase__ , (alpha * (np.exp(lowerCAmelCase__ ) - 1)) )
if __name__ == "... | 45 | 1 |
"""simple docstring"""
import warnings
from ..trainer import Trainer
from ..utils import logging
lowercase_ = logging.get_logger(__name__)
class __lowerCAmelCase ( __SCREAMING_SNAKE_CASE ):
'''simple docstring'''
def __init__( self , _a=None ... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str = "The quick brown fox jumps over the lazy dog" , ) -> bool:
__a = set()
# Replace all the whitespace in our sentence
__a = input_str.replace(''' ''' , '''''' )
for a... | 45 | 1 |
"""simple docstring"""
import shutil
import tempfile
import unittest
import numpy as np
import pytest
from transformers.testing_utils import require_vision
from transformers.utils import is_vision_available
if is_vision_available():
from PIL import Image
from transformers impor... | 45 |
"""simple docstring"""
import gc
import unittest
from transformers import CTRLConfig, 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... | 45 | 1 |
"""simple docstring"""
from __future__ import annotations
lowercase_ = 1.6_021e-19 # units = C
def lowercase ( lowerCAmelCase__ : float , lowerCAmelCase__ : float , lowerCAmelCase__ : float , ) -> tuple[str, float]:
if (conductivity, e... | 45 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowercase_ = {"con... | 45 | 1 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int = 600851475143 ) -> int:
try:
__a = int(lowerCAmelCase__ )
except (TypeError, ValueError):
raise TypeError('''Parameter n must be int or castable to int.''' )
if n <= 0:
raise ... | 45 |
"""simple docstring"""
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iter... | 45 | 1 |
"""simple docstring"""
# Copyright 2022 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/... | 45 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowercase_ = {
"configuration_roformer": ["ROF... | 45 | 1 |
"""simple docstring"""
from collections import OrderedDict
from typing import Mapping
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowercase_ = {
"roberta-base":... | 45 |
"""simple docstring"""
import warnings
from ..trainer import Trainer
from ..utils import logging
lowercase_ = logging.get_logger(__name__)
class __lowerCAmelCase ( __SCREAMING_SNAKE_CASE ):
'''simple docstring'''
def __init__( self , _a=None ... | 45 | 1 |
"""simple docstring"""
import torch
from torch import nn
class __lowerCAmelCase ( nn.Module ):
'''simple docstring'''
def __init__( self , _a , _a , _a , _a , _a=1 , _a=False ):
super().__init__()
__a = n... | 45 |
"""simple docstring"""
import math
def lowercase ( lowerCAmelCase__ : list , lowerCAmelCase__ : int ) -> int:
__a = len(lowerCAmelCase__ )
__a = int(math.floor(math.sqrt(lowerCAmelCase__ ) ) )
__a = 0
while arr... | 45 | 1 |
"""simple docstring"""
import unittest
from accelerate import debug_launcher
from accelerate.test_utils import require_cpu, test_ops, test_script
@require_cpu
class __lowerCAmelCase ( unittest.TestCase ):
'''simple docstring'''
def __UpperCAmelCase ( self ... | 45 |
"""simple docstring"""
lowercase_ = [4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = [3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = {
0: "Sunday",
1: "Monday",
2: "Tuesday",
3: "Wednesday",
4: "Thursday",
5: "Friday",
6: "Saturday",
}
d... | 45 | 1 |
"""simple docstring"""
from collections.abc import Generator
def lowercase ( ) -> Generator[int, None, None]:
__a , __a = 0, 1
while True:
__a , __a = b, a + b
yield b
def lowercase ( lowerCAmelCase__ : i... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : list ) -> bool:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise ValueError('''Input series is not valid, valid series - [2, 4, 6]''' )
if len(lowerCAmelCase__ ) == 0:
raise Value... | 45 | 1 |
"""simple docstring"""
# DISCLAIMER: This file is strongly influenced by https://github.com/yang-song/score_sde_pytorch
import math
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import torch
from ..configuration_utils import ConfigMixin, register_to_config
from .... | 45 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from ..utils import logging
from . import BaseTransformersCLICommand
def lowercase ( lowerCAmelCase__ : Namespace ) -> Tuple:
return ConvertCommand(
args.model_type , args.tf_checkpoint ... | 45 | 1 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int ) -> list:
# bit count represents no. of bits in the gray code
if bit_count < 0:
raise ValueError('''The given input must be positive''' )
# get the generated string sequence
__a = gr... | 45 |
"""simple docstring"""
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
lowercase_ = logging.get_logger(__name__)
lowercase_... | 45 | 1 |
"""simple docstring"""
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iter... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str ) -> list:
if n_term == "":
return []
__a = []
for temp in range(int(lowerCAmelCase__ ) ):
series.append(f'''1/{temp + 1}''' if series else '''1''' )
return series
if __name... | 45 | 1 |
"""simple docstring"""
from heapq import heappop, heappush
import numpy as np
def lowercase ( lowerCAmelCase__ : np.ndarray , lowerCAmelCase__ : tuple[int, int] , lowerCAmelCase__ : tuple[int, int] , lowerCAmelCase__ : bool , ) -> tuple... | 45 |
"""simple docstring"""
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union
import pyarrow as pa
if TYPE_CHECKING:
from .features import FeatureType
@dataclass
class __lowerCAmelCase :
'''simple docstring'''
... | 45 | 1 |
"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowercase_ = {
"RWKV/rwkv-4-169m-pile": "https://huggingface.co/RWKV/rwkv-4-169m-pile/resolve/main/config.json",
"RWKV/rwkv-... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int , lowerCAmelCase__ : list ) -> List[Any]:
_enforce_args(lowerCAmelCase__ , lowerCAmelCase__ )
if n == 0:
return 0
__a = float('''-inf''' )
for i in range(1 , n ... | 45 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase_ = {"configuration_unispeech": ["UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MA... | 45 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase_ = {"configuration_unispeech": ["UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MA... | 45 | 1 |
"""simple docstring"""
import math
import unittest
def lowercase ( lowerCAmelCase__ : int ) -> bool:
assert isinstance(lowerCAmelCase__ , lowerCAmelCase__ ) and (
number >= 0
), "'number' must been an int and positive"
if 1 < number < 4:
# 2 an... | 45 |
"""simple docstring"""
import unittest
import torch
from torch import nn
from diffusers.models.activations import get_activation
class __lowerCAmelCase ( unittest.TestCase ):
'''simple docstring'''
def __UpperCAmelCase ( self ):
__a =... | 45 | 1 |
"""simple docstring"""
import inspect
import unittest
from math import floor
from transformers import CvtConfig
from transformers.file_utils import cached_property, is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
f... | 45 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import EsmConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin,... | 45 | 1 |
"""simple docstring"""
from collections import deque
class __lowerCAmelCase :
'''simple docstring'''
def __init__( self , _a , _a , _a ):
__a = process_name # process name
__a = arrival_time # arrival time of the proces... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int ) -> str:
if number > 0:
raise ValueError('''input must be a negative integer''' )
__a = len(bin(lowerCAmelCase__ )[3:] )
__a = bin(abs(lowerCAmelCase__ ) - (1 << binary_nu... | 45 | 1 |
"""simple docstring"""
import tempfile
import numpy as np
import torch
from transformers import AutoTokenizer, TaEncoderModel
from diffusers import DDPMScheduler, UNetaDConditionModel
from diffusers.models.attention_processor import AttnAddedKVProcessor
from diffusers.pipelines.deepfloyd_if imp... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str , lowerCAmelCase__ : list[str] ) -> str:
__a = ''''''
for word_or_phrase in separated:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise Exception('''join(... | 45 | 1 |
"""simple docstring"""
import unittest
from transformers import SqueezeBertConfig, is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device
from ...test_configuration_common import ConfigTester
from ...test_modeling_com... | 45 |
"""simple docstring"""
lowercase_ = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"
def lowercase ( lowerCAmelCase__ : bytes ) -> bytes:
# Make sure the supplied data is a bytes-like object
if not isinstance(lowerCAmelCase__ , lowerCAmel... | 45 | 1 |
"""simple docstring"""
import pprint
import requests
lowercase_ = "https://zenquotes.io/api"
def lowercase ( ) -> list:
return requests.get(API_ENDPOINT_URL + '''/today''' ).json()
def lowercase ( ) -> list:
return requests.get(API_ENDPOIN... | 45 |
"""simple docstring"""
import inspect
import os
import unittest
import torch
import accelerate
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_multi_gpu
from accelerate.utils import patch_environment
class __lowerCAmelCase ( un... | 45 | 1 |
"""simple docstring"""
import inspect
import unittest
from transformers import DecisionTransformerConfig, is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device
from ...generation.test_utils import GenerationTesterMixin
from ...test_configuration_common impor... | 45 |
"""simple docstring"""
import numpy as np
def lowercase ( lowerCAmelCase__ : np.ndarray , lowerCAmelCase__ : float ) -> np.ndarray:
return np.where(vector > 0 , lowerCAmelCase__ , (alpha * (np.exp(lowerCAmelCase__ ) - 1)) )
if __name__ == "... | 45 | 1 |
"""simple docstring"""
from typing import List
import datasets
from datasets.tasks import AudioClassification
from ..folder_based_builder import folder_based_builder
lowercase_ = datasets.utils.logging.get_logger(__name__)
class __lowerCAmelCase ( folder_based_builder.Fold... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str = "The quick brown fox jumps over the lazy dog" , ) -> bool:
__a = set()
# Replace all the whitespace in our sentence
__a = input_str.replace(''' ''' , '''''' )
for a... | 45 | 1 |
"""simple docstring"""
import json
from typing import TYPE_CHECKING, List, Optional, Tuple
from tokenizers import pre_tokenizers
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
if TYPE_CHECKING:
from transformers.pipelines.conversational impor... | 45 |
"""simple docstring"""
import gc
import unittest
from transformers import CTRLConfig, 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... | 45 | 1 |
"""simple docstring"""
import os
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from huggingface_hub.file_download import http_get
from requests.exceptions import HTTPError
from transformers i... | 45 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowercase_ = {"con... | 45 | 1 |
"""simple docstring"""
import math
from typing import Dict, Iterable, List, Optional, Tuple, Union
import numpy as np
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
from ...image_transforms import normalize, rescale, resize, to_channel_dimension_format
from... | 45 |
"""simple docstring"""
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iter... | 45 | 1 |
"""simple docstring"""
from collections import OrderedDict
from typing import List, Mapping
from packaging import version
from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
lowercase_ = logging.get_logger(__name__)
lowe... | 45 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowercase_ = {
"configuration_roformer": ["ROF... | 45 | 1 |
"""simple docstring"""
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
... | 45 |
"""simple docstring"""
import warnings
from ..trainer import Trainer
from ..utils import logging
lowercase_ = logging.get_logger(__name__)
class __lowerCAmelCase ( __SCREAMING_SNAKE_CASE ):
'''simple docstring'''
def __init__( self , _a=None ... | 45 | 1 |
"""simple docstring"""
import logging
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
import torch
from datasets import load_dataset
from torchvision.transforms import Compose, Lambda, Normalize, RandomHorizontalFlip, RandomResizedCrop, ToTensor
from to... | 45 |
"""simple docstring"""
import math
def lowercase ( lowerCAmelCase__ : list , lowerCAmelCase__ : int ) -> int:
__a = len(lowerCAmelCase__ )
__a = int(math.floor(math.sqrt(lowerCAmelCase__ ) ) )
__a = 0
while arr... | 45 | 1 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowercase_ = {"con... | 45 |
"""simple docstring"""
lowercase_ = [4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = [3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = {
0: "Sunday",
1: "Monday",
2: "Tuesday",
3: "Wednesday",
4: "Thursday",
5: "Friday",
6: "Saturday",
}
d... | 45 | 1 |
"""simple docstring"""
from typing import List, Union
import numpy as np
from ..utils import add_end_docstrings, 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 ... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : list ) -> bool:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise ValueError('''Input series is not valid, valid series - [2, 4, 6]''' )
if len(lowerCAmelCase__ ) == 0:
raise Value... | 45 | 1 |
"""simple docstring"""
import unittest
import numpy as np
from diffusers import OnnxStableDiffusionInpaintPipelineLegacy
from diffusers.utils.testing_utils import (
is_onnx_available,
load_image,
load_numpy,
nightly,
require_onnxruntime,
require_torch_gpu,
)
if ... | 45 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from ..utils import logging
from . import BaseTransformersCLICommand
def lowercase ( lowerCAmelCase__ : Namespace ) -> Tuple:
return ConvertCommand(
args.model_type , args.tf_checkpoint ... | 45 | 1 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int ) -> list[int]:
if length <= 0 or not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise ValueError('''Length must be a positive integer.''' )
return [n * (2 * n - 1) for n in range(lowerCA... | 45 |
"""simple docstring"""
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
lowercase_ = logging.get_logger(__name__)
lowercase_... | 45 | 1 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : list ) -> bool:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise ValueError('''Input series is not valid, valid series - [2, 4, 6]''' )
if len(lowerCAmelCase__ ) == 0:
raise Value... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str ) -> list:
if n_term == "":
return []
__a = []
for temp in range(int(lowerCAmelCase__ ) ):
series.append(f'''1/{temp + 1}''' if series else '''1''' )
return series
if __name... | 45 | 1 |
"""simple docstring"""
import warnings
from typing import List, Optional, Union
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType
class __lowerC... | 45 |
"""simple docstring"""
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union
import pyarrow as pa
if TYPE_CHECKING:
from .features import FeatureType
@dataclass
class __lowerCAmelCase :
'''simple docstring'''
... | 45 | 1 |
"""simple docstring"""
import copy
from typing import Dict, List, Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
lowercase_ = {
"facebook/mask2former-swin-small-coco-instance": (
"https://hugging... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int , lowerCAmelCase__ : list ) -> List[Any]:
_enforce_args(lowerCAmelCase__ , lowerCAmelCase__ )
if n == 0:
return 0
__a = float('''-inf''' )
for i in range(1 , n ... | 45 | 1 |
"""simple docstring"""
import inspect
import os
import unittest
import torch
import accelerate
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_multi_gpu
from accelerate.utils import patch_environment
class __lowerCAmelCase ( un... | 45 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_torch_available,
)
lowercase_ = {"configuration_unispeech": ["UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MA... | 45 | 1 |
"""simple docstring"""
from __future__ import annotations
def lowercase ( lowerCAmelCase__ : float , lowerCAmelCase__ : float , lowerCAmelCase__ : float ) -> dict[str, float]:
if (voltage, current, resistance).count(0 ) != 1:
raise ValueError(''... | 45 |
"""simple docstring"""
import unittest
import torch
from torch import nn
from diffusers.models.activations import get_activation
class __lowerCAmelCase ( unittest.TestCase ):
'''simple docstring'''
def __UpperCAmelCase ( self ):
__a =... | 45 | 1 |
"""simple docstring"""
from typing import Callable, List, Optional, Union
import PIL
import torch
from transformers import (
CLIPImageProcessor,
CLIPSegForImageSegmentation,
CLIPSegProcessor,
CLIPTextModel,
CLIPTokenizer,
)
from diffusers import DiffusionPipeline
from d... | 45 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import EsmConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin,... | 45 | 1 |
"""simple docstring"""
from dataclasses import dataclass
from typing import List, Optional, Union
import numpy as np
import PIL
import torch
from transformers import CLIPImageProcessor, CLIPVisionModel
from ...models import PriorTransformer
from ...pipelines import DiffusionPipeline
from ...s... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int ) -> str:
if number > 0:
raise ValueError('''input must be a negative integer''' )
__a = len(bin(lowerCAmelCase__ )[3:] )
__a = bin(abs(lowerCAmelCase__ ) - (1 << binary_nu... | 45 | 1 |
"""simple docstring"""
import inspect
import math
import tempfile
import unittest
import numpy as np
from transformers import ViTMAEConfig
from transformers.testing_utils import require_torch, require_vision, slow, torch_device
from transformers.utils import cached_property, is_torch_available... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str , lowerCAmelCase__ : list[str] ) -> str:
__a = ''''''
for word_or_phrase in separated:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise Exception('''join(... | 45 | 1 |
"""simple docstring"""
import gc
import random
import unittest
import numpy as np
import torch
from PIL import Image
from diffusers import (
DDIMScheduler,
KandinskyVaaInpaintPipeline,
KandinskyVaaPriorPipeline,
UNetaDConditionModel,
VQModel,
)
from diffusers.utils im... | 45 |
"""simple docstring"""
lowercase_ = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"
def lowercase ( lowerCAmelCase__ : bytes ) -> bytes:
# Make sure the supplied data is a bytes-like object
if not isinstance(lowerCAmelCase__ , lowerCAmel... | 45 | 1 |
"""simple docstring"""
import unittest
import numpy as np
import timeout_decorator # noqa
from transformers import BlenderbotConfig, is_flax_available
from transformers.testing_utils import jax_device, require_flax, slow
from ...generation.test_flax_utils import FlaxGenerationTesterMixin
fro... | 45 |
"""simple docstring"""
import inspect
import os
import unittest
import torch
import accelerate
from accelerate import Accelerator
from accelerate.test_utils import execute_subprocess_async, require_multi_gpu
from accelerate.utils import patch_environment
class __lowerCAmelCase ( un... | 45 | 1 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from ..utils import logging
from . import BaseTransformersCLICommand
def lowercase ( lowerCAmelCase__ : Namespace ) -> Tuple:
return ConvertCommand(
args.model_type , args.tf_checkpoint ... | 45 |
"""simple docstring"""
import numpy as np
def lowercase ( lowerCAmelCase__ : np.ndarray , lowerCAmelCase__ : float ) -> np.ndarray:
return np.where(vector > 0 , lowerCAmelCase__ , (alpha * (np.exp(lowerCAmelCase__ ) - 1)) )
if __name__ == "... | 45 | 1 |
"""simple docstring"""
from collections import defaultdict
from math import gcd
def lowercase ( lowerCAmelCase__ : int = 1500000 ) -> int:
__a = defaultdict(lowerCAmelCase__ )
__a = 2
while 2 * euclid_m * (euclid_m + 1) <= limit:
for eu... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str = "The quick brown fox jumps over the lazy dog" , ) -> bool:
__a = set()
# Replace all the whitespace in our sentence
__a = input_str.replace(''' ''' , '''''' )
for a... | 45 | 1 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int ) -> str:
if number > 0:
raise ValueError('''input must be a negative integer''' )
__a = len(bin(lowerCAmelCase__ )[3:] )
__a = bin(abs(lowerCAmelCase__ ) - (1 << binary_nu... | 45 |
"""simple docstring"""
import gc
import unittest
from transformers import CTRLConfig, 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... | 45 | 1 |
"""simple docstring"""
import random
class __lowerCAmelCase :
'''simple docstring'''
@staticmethod
def __UpperCAmelCase ( _a ):
__a = [ord(_a ) for i in text]
__a = []
__a = []
for i in plain:
... | 45 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_sentencepiece_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowercase_ = {"con... | 45 | 1 |
"""simple docstring"""
from .constants import (
MODEL_NAME,
OPTIMIZER_NAME,
RNG_STATE_NAME,
SAFE_WEIGHTS_INDEX_NAME,
SAFE_WEIGHTS_NAME,
SCALER_NAME,
SCHEDULER_NAME,
TORCH_LAUNCH_PARAMS,
WEIGHTS_INDEX_NAME,
WEIGHTS_NAME,
)
from .dataclasses import (
... | 45 |
"""simple docstring"""
import json
import multiprocessing as mp
import re
from collections import defaultdict
from functools import partial
from typing import Dict, List, Optional, Set, Tuple, Type
from datasets import Dataset
from datasketch import MinHash, MinHashLSH
from dpu_utils.utils.iter... | 45 | 1 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str ) -> bool:
__a = [int(lowerCAmelCase__ ) for i in ip_va_address.split('''.''' ) if i.isdigit()]
return len(lowerCAmelCase__ ) == 4 and all(0 <= int(lowerCAmelCase__ ) <= 254 for octet in octet... | 45 |
"""simple docstring"""
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
lowercase_ = {
"configuration_roformer": ["ROF... | 45 | 1 |
"""simple docstring"""
# 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/... | 45 |
"""simple docstring"""
import warnings
from ..trainer import Trainer
from ..utils import logging
lowercase_ = logging.get_logger(__name__)
class __lowerCAmelCase ( __SCREAMING_SNAKE_CASE ):
'''simple docstring'''
def __init__( self , _a=None ... | 45 | 1 |
"""simple docstring"""
from typing import Any, Dict, List, Optional, Tuple, Union
import torch
from torch import nn
from torch.utils.data import DistributedSampler, RandomSampler
from transformers import PreTrainedModel, Trainer, logging
from transformers.integrations import is_fairscale_availab... | 45 |
"""simple docstring"""
import math
def lowercase ( lowerCAmelCase__ : list , lowerCAmelCase__ : int ) -> int:
__a = len(lowerCAmelCase__ )
__a = int(math.floor(math.sqrt(lowerCAmelCase__ ) ) )
__a = 0
while arr... | 45 | 1 |
"""simple docstring"""
from collections import Counter
from pathlib import Path
from typing import Optional, Tuple
import yaml
class __lowerCAmelCase ( yaml.SafeLoader ):
'''simple docstring'''
def __UpperCAmelCase ( self , _a ):
__a ... | 45 |
"""simple docstring"""
lowercase_ = [4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = [3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
lowercase_ = {
0: "Sunday",
1: "Monday",
2: "Tuesday",
3: "Wednesday",
4: "Thursday",
5: "Friday",
6: "Saturday",
}
d... | 45 | 1 |
"""simple docstring"""
from __future__ import annotations
import unittest
from transformers import EsmConfig, is_tf_available
from transformers.testing_utils import require_tf, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin,... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : list ) -> bool:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise ValueError('''Input series is not valid, valid series - [2, 4, 6]''' )
if len(lowerCAmelCase__ ) == 0:
raise Value... | 45 | 1 |
"""simple docstring"""
from typing import List, Union
import numpy as np
from ..tokenization_utils import TruncationStrategy
from ..utils import add_end_docstrings, logging
from .base import PIPELINE_INIT_ARGS, ArgumentHandler, ChunkPipeline
lowercase_ = logging.get_logger(__name__)
... | 45 |
"""simple docstring"""
from argparse import ArgumentParser, Namespace
from ..utils import logging
from . import BaseTransformersCLICommand
def lowercase ( lowerCAmelCase__ : Namespace ) -> Tuple:
return ConvertCommand(
args.model_type , args.tf_checkpoint ... | 45 | 1 |
"""simple docstring"""
from __future__ import annotations
import math
def lowercase ( lowerCAmelCase__ : int ) -> bool:
if 1 < number < 4:
# 2 and 3 are primes
return True
elif number < 2 or number % 2 == 0 or number % 3 == 0:
# Negatives, 0, 1, all e... | 45 |
"""simple docstring"""
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
lowercase_ = logging.get_logger(__name__)
lowercase_... | 45 | 1 |
"""simple docstring"""
import os
def lowercase ( ) -> Union[str, Any]:
__a = os.path.dirname(os.path.realpath(lowerCAmelCase__ ) )
__a = os.path.join(lowerCAmelCase__ , '''triangle.txt''' )
with open(lowerCAmelCase__ ) as f:
__a... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str ) -> list:
if n_term == "":
return []
__a = []
for temp in range(int(lowerCAmelCase__ ) ):
series.append(f'''1/{temp + 1}''' if series else '''1''' )
return series
if __name... | 45 | 1 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : str , lowerCAmelCase__ : list[str] ) -> str:
__a = ''''''
for word_or_phrase in separated:
if not isinstance(lowerCAmelCase__ , lowerCAmelCase__ ):
raise Exception('''join(... | 45 |
"""simple docstring"""
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union
import pyarrow as pa
if TYPE_CHECKING:
from .features import FeatureType
@dataclass
class __lowerCAmelCase :
'''simple docstring'''
... | 45 | 1 |
"""simple docstring"""
import warnings
from ...utils import logging
from .image_processing_dpt import DPTImageProcessor
lowercase_ = logging.get_logger(__name__)
class __lowerCAmelCase ( __SCREAMING_SNAKE_CASE ):
'''simple docstring'''
def __init__( sel... | 45 |
"""simple docstring"""
def lowercase ( lowerCAmelCase__ : int , lowerCAmelCase__ : list ) -> List[Any]:
_enforce_args(lowerCAmelCase__ , lowerCAmelCase__ )
if n == 0:
return 0
__a = float('''-inf''' )
for i in range(1 , n ... | 45 | 1 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.