code stringlengths 82 54.1k | code_codestyle int64 0 699 | style_context stringlengths 111 35.6k | style_context_codestyle int64 0 699 | label int64 0 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 import Conversation
Up... | 119 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from diffusers import PNDMPipeline, PNDMScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
enable_full_determinism()
class lowerCAmelCase ( unittest.TestCase ):
... | 119 | 1 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import BlenderbotSmallConfig, BlenderbotSmallTokenizer, is_tf_available
from transformers.testing_utils import require_tf, require_tokenizers, slow
from transformers.utils import cached_property
from ...test_configuration_... | 119 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : int ):
'''simple docstring'''
if upper_limit < 0:
raise ValueError('Limit for the Catalan sequence must be ≥ 0' )
__lowercase =[0] * (upper_limit + 1)
# Base case: C(0) = C(1) = 1
__... | 119 | 1 |
'''simple docstring'''
import argparse
import copy
def __UpperCamelCase ( lowercase__ : Any ):
'''simple docstring'''
__lowercase ={}
with open(lowercase__ ) as f:
for line in f:
if line.split()[0] not in dict_of_neighbours:
... | 119 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
UpperCAmelCase = {
'''configuration_owlvit''': [
... | 119 | 1 |
'''simple docstring'''
import unittest
from transformers import DonutProcessor
UpperCAmelCase = '''naver-clova-ix/donut-base'''
class lowerCAmelCase ( unittest.TestCase ):
def snake_case ( self : int ):
"""simple docstring"""
__lower... | 119 |
'''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 import Conversation
Up... | 119 | 1 |
'''simple docstring'''
import gc
import tempfile
import unittest
import numpy as np
import torch
from diffusers import VersatileDiffusionPipeline
from diffusers.utils.testing_utils import load_image, nightly, require_torch_gpu, torch_device
UpperCAmelCase = False
class lowerCAmelCase ( unittest.TestCa... | 119 |
'''simple docstring'''
from __future__ import annotations
def __UpperCamelCase ( lowercase__ : float, lowercase__ : float, lowercase__ : float ):
'''simple docstring'''
if (voltage, current, resistance).count(0 ) != 1:
raise ValueError('One and on... | 119 | 1 |
'''simple docstring'''
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoFeatureExtractor, WavaVecaFeatureExtractor
from transformers.testing_utils... | 119 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : list[int] ):
'''simple docstring'''
if not nums: # Makes sure that the list is not empty
raise ValueError('List is empty' )
__lowercase =sum(lowercase__ ) / len(lowercase__ ) # Calculate ... | 119 | 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, floats_tensor, ids_... | 119 |
'''simple docstring'''
import string
def __UpperCamelCase ( lowercase__ : str ):
'''simple docstring'''
for key in range(len(string.ascii_uppercase ) ):
__lowercase =''
for symbol in message:
if symbol in string.ascii_uppercase:
... | 119 | 1 |
'''simple docstring'''
import torch
from diffusers import DiffusionPipeline
class lowerCAmelCase ( A ):
def __init__( self : Any , __lowercase : List[str] , __lowercase : Tuple ):
"""simple docstring"""
super().__init__()
... | 119 |
'''simple docstring'''
import enum
import warnings
from ..tokenization_utils import TruncationStrategy
from ..utils import add_end_docstrings, is_tf_available, is_torch_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_tf_available():
import tensorflow as tf
from ..models.auto... | 119 | 1 |
'''simple docstring'''
UpperCAmelCase = {
"km/h": 1.0,
"m/s": 3.6,
"mph": 1.609344,
"knot": 1.852,
}
UpperCAmelCase = {
"km/h": 1.0,
"m/s": 0.277777778,
"mph": 0.621371192,
"knot": 0.539956803,
}
def __UpperCamelCase ( lowercase__ : float, lowercase__... | 119 |
'''simple docstring'''
class lowerCAmelCase :
def __init__( self : List[Any] , __lowercase : str , __lowercase : Any , __lowercase : str ):
"""simple docstring"""
__lowercase =name
__lowercase ... | 119 | 1 |
'''simple docstring'''
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,
res... | 119 |
'''simple docstring'''
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoFeatureExtractor, WavaVecaFeatureExtractor
from transformers.testing_utils... | 119 | 1 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
'''facebook/nllb-moe-54B''': '''https://huggingface.co/facebook/nllb-moe-54b/resolve/main/config.json''',
}
class lowerCAmelCase... | 119 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
'''shi-labs/dinat-mini-in1k-224... | 119 | 1 |
'''simple docstring'''
import os
# Precomputes a list of the 100 first triangular numbers
UpperCAmelCase = [int(0.5 * n * (n + 1)) for n in range(1, 101)]
def __UpperCamelCase ( ):
'''simple docstring'''
__lowercase =os.path.dirname(os.path.realpath(lowercase__ ) )... | 119 |
'''simple docstring'''
import argparse
import os
import gluonnlp as nlp
import mxnet as mx
import numpy as np
import torch
from gluonnlp.base import get_home_dir
from gluonnlp.model.bert import BERTEncoder
from gluonnlp.model.utils import _load_vocab
from gluonnlp.vocab import Vocab
from packaging import version
fr... | 119 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
UpperCAmelCase = {'''configuration_van''': ['''VAN_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''VanConfig''']}
try:
if not is_torch_available():
... | 119 |
'''simple docstring'''
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmel... | 119 | 1 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : int ):
'''simple docstring'''
__lowercase =len(lowercase__ )
while cur > 1:
# Find the maximum number in arr
__lowercase =arr.index(max(arr[0:cur] ) )
# Reverse fr... | 119 |
'''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 transformers import YolosConfig, YolosForObjectDetection, YolosImageProcessor
from transformers.utils import logging
logging.set_verbosit... | 119 | 1 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : List[Any] ):
'''simple docstring'''
__lowercase =[]
__lowercase =[]
__lowercase ={
'^': 3,
'*': 2,
'/': 2,
'%': 2,
'+': 1,
'-': 1,
... | 119 |
'''simple docstring'''
import importlib.util
import os
import platform
from argparse import ArgumentParser
import huggingface_hub
from .. import __version__ as version
from ..utils import (
is_accelerate_available,
is_flax_available,
is_safetensors_available,
is_tf_available,
is_torch_available... | 119 | 1 |
'''simple docstring'''
from __future__ import annotations
def __UpperCamelCase ( lowercase__ : list[int] ):
'''simple docstring'''
if not nums:
return 0
__lowercase =nums[0]
__lowercase =0
for num in nums[1:]:
__lowercase , __... | 119 |
'''simple docstring'''
import os
from collections.abc import Iterator
def __UpperCamelCase ( lowercase__ : str = "." ):
'''simple docstring'''
for dir_path, dir_names, filenames in os.walk(lowercase__ ):
__lowercase =[d for d in dir_names if d != 'scripts' a... | 119 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
)
UpperCAmelCase = {
'''configuration_blenderbot_small''': [
'''BLEN... | 119 |
'''simple docstring'''
from collections import defaultdict
from math import gcd
def __UpperCamelCase ( lowercase__ : int = 1_50_00_00 ):
'''simple docstring'''
__lowercase =defaultdict(lowercase__ )
__lowercase =2
while 2 * euclid_m * (euclid_m + 1) <... | 119 | 1 |
'''simple docstring'''
import random
import unittest
import numpy as np
import torch
from diffusers import (
DPMSolverMultistepScheduler,
EulerAncestralDiscreteScheduler,
EulerDiscreteScheduler,
LMSDiscreteScheduler,
OnnxStableDiffusionUpscalePipeline,
PNDMScheduler,
)
from diffusers.utils ... | 119 |
'''simple docstring'''
# Function to print upper half of diamond (pyramid)
def __UpperCamelCase ( lowercase__ : Optional[Any] ):
'''simple docstring'''
for i in range(0, lowercase__ ):
for _ in range(0, n - i - 1 ): # printing spaces
p... | 119 | 1 |
'''simple docstring'''
from __future__ import annotations
import math
import random
from collections.abc import Collection
from typing import overload
class lowerCAmelCase :
def __init__( self : List[str] , __lowercase : Collection[float] | None = None ):
... | 119 |
'''simple docstring'''
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import cached_download, hf_hub_url
from PIL import Image
from transformers import DPTConfig, DPTForDepthEstimation, DPTForSemanticSegmentation, DPTImageProcessor
from transformers.utils imp... | 119 | 1 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : list ):
'''simple docstring'''
if any(not isinstance(lowercase__, lowercase__ ) or x < 0 for x in sequence ):
raise TypeError('Sequence must be list of non-negative integers' )
for _ in range... | 119 |
'''simple docstring'''
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=A )
class lowerCAmelCase ( A ):
# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSO... | 119 | 1 |
'''simple docstring'''
import unittest
import numpy as np
import timeout_decorator # noqa
from transformers import BlenderbotSmallConfig, is_flax_available
from transformers.testing_utils import require_flax, slow
from ...generation.test_flax_utils import FlaxGenerationTesterMixin
from ...test_modeling_flax_comm... | 119 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : int ):
'''simple docstring'''
if n == 1 or not isinstance(lowercase__, lowercase__ ):
return 0
elif n == 2:
return 1
else:
__lowercase =[0, 1]
for i in r... | 119 | 1 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : dict ):
'''simple docstring'''
__lowercase =set()
# edges = list of graph's edges
__lowercase =get_edges(lowercase__ )
# While there are still elements in edges list, take an arbitrary e... | 119 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : List[str], lowercase__ : Tuple ):
'''simple docstring'''
__lowercase =[0 for i in range(r + 1 )]
# nc0 = 1
__lowercase =1
for i in range(1, n + 1 ):
# to comput... | 119 | 1 |
'''simple docstring'''
from packaging import version
from .import_utils import is_accelerate_available
if is_accelerate_available():
import accelerate
def __UpperCamelCase ( lowercase__ : Optional[Any] ):
'''simple docstring'''
if not is_accelerate_available():
... | 119 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from diffusers import PNDMPipeline, PNDMScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
enable_full_determinism()
class lowerCAmelCase ( unittest.TestCase ):
... | 119 | 1 |
'''simple docstring'''
import enum
import warnings
from ..tokenization_utils import TruncationStrategy
from ..utils import add_end_docstrings, is_tf_available, is_torch_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_tf_available():
import tensorflow as tf
from ..models.auto... | 119 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : int ):
'''simple docstring'''
if upper_limit < 0:
raise ValueError('Limit for the Catalan sequence must be ≥ 0' )
__lowercase =[0] * (upper_limit + 1)
# Base case: C(0) = C(1) = 1
__... | 119 | 1 |
'''simple docstring'''
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=A )
class lowerCAmelCase ( A ):
# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSO... | 119 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
UpperCAmelCase = {
'''configuration_owlvit''': [
... | 119 | 1 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : list, lowercase__ : list, lowercase__ : int ):
'''simple docstring'''
if len(lowercase__ ) != len(lowercase__ ):
raise ValueError('The length of profit and weight must be same.' )
... | 119 |
'''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 import Conversation
Up... | 119 | 1 |
'''simple docstring'''
import itertools
from dataclasses import dataclass
from typing import Any, Callable, Dict, List, Optional, Union
import pandas as pd
import pyarrow as pa
import datasets
import datasets.config
from datasets.features.features import require_storage_cast
from datasets.table import table_cast
f... | 119 |
'''simple docstring'''
from __future__ import annotations
def __UpperCamelCase ( lowercase__ : float, lowercase__ : float, lowercase__ : float ):
'''simple docstring'''
if (voltage, current, resistance).count(0 ) != 1:
raise ValueError('One and on... | 119 | 1 |
'''simple docstring'''
from ..utils import DummyObject, requires_backends
class lowerCAmelCase ( metaclass=A ):
lowerCAmelCase_ = ["torch", "scipy"]
def __init__( self : Any , *__lowercase : Optional[Any] , **__lowercase : Dict ):
... | 119 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : list[int] ):
'''simple docstring'''
if not nums: # Makes sure that the list is not empty
raise ValueError('List is empty' )
__lowercase =sum(lowercase__ ) / len(lowercase__ ) # Calculate ... | 119 | 1 |
'''simple docstring'''
import string
def __UpperCamelCase ( lowercase__ : str ):
'''simple docstring'''
for key in range(len(string.ascii_uppercase ) ):
__lowercase =''
for symbol in message:
if symbol in string.ascii_uppercase:
... | 119 |
'''simple docstring'''
import string
def __UpperCamelCase ( lowercase__ : str ):
'''simple docstring'''
for key in range(len(string.ascii_uppercase ) ):
__lowercase =''
for symbol in message:
if symbol in string.ascii_uppercase:
... | 119 | 1 |
'''simple docstring'''
import numpy as np
def __UpperCamelCase ( lowercase__ : np.ndarray, lowercase__ : np.ndarray, lowercase__ : float = 1E-12, lowercase__ : int = 1_00, ):
'''simple docstring'''
assert np.shape(lowercase__ )[0] == np.shape(l... | 119 |
'''simple docstring'''
import enum
import warnings
from ..tokenization_utils import TruncationStrategy
from ..utils import add_end_docstrings, is_tf_available, is_torch_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_tf_available():
import tensorflow as tf
from ..models.auto... | 119 | 1 |
'''simple docstring'''
from math import factorial
def __UpperCamelCase ( lowercase__ : int = 1_00 ):
'''simple docstring'''
return sum(int(lowercase__ ) for x in str(factorial(lowercase__ ) ) )
if __name__ == "__main__":
print(solution(int(input('''Enter the N... | 119 |
'''simple docstring'''
class lowerCAmelCase :
def __init__( self : List[Any] , __lowercase : str , __lowercase : Any , __lowercase : str ):
"""simple docstring"""
__lowercase =name
__lowercase ... | 119 | 1 |
'''simple docstring'''
import tempfile
import unittest
from transformers import TaConfig, is_torch_available
from transformers.testing_utils import (
require_sentencepiece,
require_tokenizers,
require_torch,
slow,
torch_device,
)
from ...generation.test_utils import GenerationTesterMixin
from .... | 119 |
'''simple docstring'''
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoFeatureExtractor, WavaVecaFeatureExtractor
from transformers.testing_utils... | 119 | 1 |
'''simple docstring'''
import hashlib
import unittest
from typing import Dict
import numpy as np
from transformers import (
MODEL_FOR_MASK_GENERATION_MAPPING,
TF_MODEL_FOR_MASK_GENERATION_MAPPING,
is_vision_available,
pipeline,
)
from transformers.pipelines import MaskGenerationPipeline
from transf... | 119 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
'''shi-labs/dinat-mini-in1k-224... | 119 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
UpperCAmelCase = {'''configuration_mmbt''': ['''MMBTConfig''']}
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except O... | 119 |
'''simple docstring'''
import argparse
import os
import gluonnlp as nlp
import mxnet as mx
import numpy as np
import torch
from gluonnlp.base import get_home_dir
from gluonnlp.model.bert import BERTEncoder
from gluonnlp.model.utils import _load_vocab
from gluonnlp.vocab import Vocab
from packaging import version
fr... | 119 | 1 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : str, lowercase__ : str ):
'''simple docstring'''
def get_matched_characters(lowercase__ : str, lowercase__ : str ) -> str:
__lowercase =[]
__lowercase =min(len(_... | 119 |
'''simple docstring'''
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmel... | 119 | 1 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : str ):
'''simple docstring'''
return credit_card_number.startswith(('34', '35', '37', '4', '5', '6') )
def __UpperCamelCase ( lowercase__ : str ):
'''simple docstring'''
__lowe... | 119 |
'''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 transformers import YolosConfig, YolosForObjectDetection, YolosImageProcessor
from transformers.utils import logging
logging.set_verbosit... | 119 | 1 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : int ):
'''simple docstring'''
__lowercase =1
__lowercase =2
while i * i <= n:
__lowercase =0
while n % i == 0:
n //= i
multiplicity += 1
... | 119 |
'''simple docstring'''
import importlib.util
import os
import platform
from argparse import ArgumentParser
import huggingface_hub
from .. import __version__ as version
from ..utils import (
is_accelerate_available,
is_flax_available,
is_safetensors_available,
is_tf_available,
is_torch_available... | 119 | 1 |
'''simple docstring'''
import os
import shutil
import sys
import tempfile
import unittest
from pathlib import Path
import pytest
import transformers
from transformers import (
BERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
GPT2_PRETRAINED_CONFIG_ARCHIVE_MAP,
AutoTokenizer,
BertConfig,
BertTokenizer,
B... | 119 |
'''simple docstring'''
import os
from collections.abc import Iterator
def __UpperCamelCase ( lowercase__ : str = "." ):
'''simple docstring'''
for dir_path, dir_names, filenames in os.walk(lowercase__ ):
__lowercase =[d for d in dir_names if d != 'scripts' a... | 119 | 1 |
'''simple docstring'''
from typing import Tuple, Union
from ...modeling_outputs import BackboneOutput
from ...modeling_utils import PreTrainedModel
from ...utils import is_timm_available, is_torch_available, requires_backends
from ...utils.backbone_utils import BackboneMixin
from .configuration_timm_backbone import... | 119 |
'''simple docstring'''
from collections import defaultdict
from math import gcd
def __UpperCamelCase ( lowercase__ : int = 1_50_00_00 ):
'''simple docstring'''
__lowercase =defaultdict(lowercase__ )
__lowercase =2
while 2 * euclid_m * (euclid_m + 1) <... | 119 | 1 |
'''simple docstring'''
from typing import List
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
'''snap-research/efficientformer-l1-300''': (
'''https://huggingface.co/snap-research/efficientfor... | 119 |
'''simple docstring'''
# Function to print upper half of diamond (pyramid)
def __UpperCamelCase ( lowercase__ : Optional[Any] ):
'''simple docstring'''
for i in range(0, lowercase__ ):
for _ in range(0, n - i - 1 ): # printing spaces
p... | 119 | 1 |
'''simple docstring'''
import flax.linen as nn
import jax
import jax.numpy as jnp
class lowerCAmelCase ( nn.Module ):
lowerCAmelCase_ = 42
lowerCAmelCase_ = jnp.floataa
def snake_case ( self : Tuple ):
"""simple docstrin... | 119 |
'''simple docstring'''
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import cached_download, hf_hub_url
from PIL import Image
from transformers import DPTConfig, DPTForDepthEstimation, DPTForSemanticSegmentation, DPTImageProcessor
from transformers.utils imp... | 119 | 1 |
'''simple docstring'''
import logging
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
import evaluate
import numpy as np
import torch
from datasets import load_dataset
from PIL import Image
from torchvision.transforms import (
CenterCrop,
Compose,
Normalize,
... | 119 |
'''simple docstring'''
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=A )
class lowerCAmelCase ( A ):
# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSO... | 119 | 1 |
'''simple docstring'''
import argparse
import json
from pathlib import Path
import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image
from transformers import AutoImageProcessor, SwinvaConfig, SwinvaForImageClassification
def __UpperCamelCase ( lowerca... | 119 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : int ):
'''simple docstring'''
if n == 1 or not isinstance(lowercase__, lowercase__ ):
return 0
elif n == 2:
return 1
else:
__lowercase =[0, 1]
for i in r... | 119 | 1 |
'''simple docstring'''
import logging
import os
import sys
from dataclasses import dataclass, field
from typing import Optional
import numpy as np
import torch
from datasets import load_dataset
from torchvision.transforms import Compose, Lambda, Normalize, RandomHorizontalFlip, RandomResizedCrop, ToTensor
import t... | 119 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : List[str], lowercase__ : Tuple ):
'''simple docstring'''
__lowercase =[0 for i in range(r + 1 )]
# nc0 = 1
__lowercase =1
for i in range(1, n + 1 ):
# to comput... | 119 | 1 |
'''simple docstring'''
import os
import sys
import unittest
UpperCAmelCase = os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, '''utils'''))
import check_dummies # noqa: E402
from check_dummies import create_dummy_files, create_dummy_obj... | 119 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from diffusers import PNDMPipeline, PNDMScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
enable_full_determinism()
class lowerCAmelCase ( unittest.TestCase ):
... | 119 | 1 |
'''simple docstring'''
import string
from math import logaa
def __UpperCamelCase ( lowercase__ : str, lowercase__ : str ):
'''simple docstring'''
__lowercase =document.translate(
str.maketrans('', '', string.punctuation ) ).replace('\n'... | 119 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : int ):
'''simple docstring'''
if upper_limit < 0:
raise ValueError('Limit for the Catalan sequence must be ≥ 0' )
__lowercase =[0] * (upper_limit + 1)
# Base case: C(0) = C(1) = 1
__... | 119 | 1 |
'''simple docstring'''
from typing import List, Optional, Union
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
'''huggingface/informer-tourism-monthly''': (
'''https://huggingface.co/huggingfa... | 119 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
UpperCAmelCase = {
'''configuration_owlvit''': [
... | 119 | 1 |
'''simple docstring'''
from __future__ import annotations
from collections.abc import Callable
def __UpperCamelCase ( lowercase__ : Callable[[int | float], int | float], lowercase__ : int | float, lowercase__ : int | float, lowercase__ : int = 1_00, ):
''... | 119 |
'''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 import Conversation
Up... | 119 | 1 |
'''simple docstring'''
import os
import shutil
import tempfile
import unittest
import numpy as np
from transformers import AutoTokenizer, BarkProcessor
from transformers.testing_utils import require_torch, slow
@require_torch
class lowerCAmelCase ( unittest.TestCase ):
def snake_case ( ... | 119 |
'''simple docstring'''
from __future__ import annotations
def __UpperCamelCase ( lowercase__ : float, lowercase__ : float, lowercase__ : float ):
'''simple docstring'''
if (voltage, current, resistance).count(0 ) != 1:
raise ValueError('One and on... | 119 | 1 |
'''simple docstring'''
import html
from ...feature_extraction_utils import BatchFeature, FeatureExtractionMixin
from ...utils import is_bsa_available, logging, requires_backends
if is_bsa_available():
import bsa
from bsa import BeautifulSoup
UpperCAmelCase = logging.get_logger(__name__)
cla... | 119 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : list[int] ):
'''simple docstring'''
if not nums: # Makes sure that the list is not empty
raise ValueError('List is empty' )
__lowercase =sum(lowercase__ ) / len(lowercase__ ) # Calculate ... | 119 | 1 |
'''simple docstring'''
import os
import tempfile
import unittest
from transformers import NezhaConfig, is_torch_available
from transformers.models.auto import get_values
from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device
from ...generation.test_utils import GenerationTester... | 119 |
'''simple docstring'''
import string
def __UpperCamelCase ( lowercase__ : str ):
'''simple docstring'''
for key in range(len(string.ascii_uppercase ) ):
__lowercase =''
for symbol in message:
if symbol in string.ascii_uppercase:
... | 119 | 1 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : List[str], lowercase__ : Tuple ):
'''simple docstring'''
__lowercase =[0 for i in range(r + 1 )]
# nc0 = 1
__lowercase =1
for i in range(1, n + 1 ):
# to comput... | 119 |
'''simple docstring'''
import enum
import warnings
from ..tokenization_utils import TruncationStrategy
from ..utils import add_end_docstrings, is_tf_available, is_torch_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_tf_available():
import tensorflow as tf
from ..models.auto... | 119 | 1 |
'''simple docstring'''
import gc
import importlib.metadata
import tempfile
import unittest
from packaging import version
from transformers import (
AutoModel,
AutoModelForCausalLM,
AutoModelForSeqaSeqLM,
AutoModelForSequenceClassification,
AutoTokenizer,
BitsAndBytesConfig,
pipeline,
)
... | 119 |
'''simple docstring'''
class lowerCAmelCase :
def __init__( self : List[Any] , __lowercase : str , __lowercase : Any , __lowercase : str ):
"""simple docstring"""
__lowercase =name
__lowercase ... | 119 | 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 AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmel... | 119 |
'''simple docstring'''
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoFeatureExtractor, WavaVecaFeatureExtractor
from transformers.testing_utils... | 119 | 1 |
'''simple docstring'''
import math
def __UpperCamelCase ( lowercase__ : int ):
'''simple docstring'''
return math.sqrt(lowercase__ ) * math.sqrt(lowercase__ ) == num
def __UpperCamelCase ( lowercase__ : int ):
'''simple docstring'''
... | 119 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
'''shi-labs/dinat-mini-in1k-224... | 119 | 1 |
'''simple docstring'''
import gc
import unittest
import numpy as np
import torch
from diffusers import StableDiffusionKDiffusionPipeline
from diffusers.utils import slow, torch_device
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu
enable_full_determinism()
@slow
@require_t... | 119 |
'''simple docstring'''
import argparse
import os
import gluonnlp as nlp
import mxnet as mx
import numpy as np
import torch
from gluonnlp.base import get_home_dir
from gluonnlp.model.bert import BERTEncoder
from gluonnlp.model.utils import _load_vocab
from gluonnlp.vocab import Vocab
from packaging import version
fr... | 119 | 1 |
'''simple docstring'''
from __future__ import annotations
import unittest
from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow
from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModel... | 119 |
'''simple docstring'''
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmel... | 119 | 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 ...image_utils imp... | 119 |
'''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 transformers import YolosConfig, YolosForObjectDetection, YolosImageProcessor
from transformers.utils import logging
logging.set_verbosit... | 119 | 1 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : Tuple ):
'''simple docstring'''
__lowercase =len(lowercase__ )
__lowercase =sum(lowercase__ )
__lowercase =[[False for x in range(s + 1 )] for y in range(n + 1 )]
for i in ... | 119 |
'''simple docstring'''
import importlib.util
import os
import platform
from argparse import ArgumentParser
import huggingface_hub
from .. import __version__ as version
from ..utils import (
is_accelerate_available,
is_flax_available,
is_safetensors_available,
is_tf_available,
is_torch_available... | 119 | 1 |
'''simple docstring'''
import copy
import inspect
import unittest
from transformers import AutoBackbone
from transformers.configuration_utils import PretrainedConfig
from transformers.testing_utils import require_timm, require_torch, torch_device
from transformers.utils.import_utils import is_torch_available
from ... | 119 |
'''simple docstring'''
import os
from collections.abc import Iterator
def __UpperCamelCase ( lowercase__ : str = "." ):
'''simple docstring'''
for dir_path, dir_names, filenames in os.walk(lowercase__ ):
__lowercase =[d for d in dir_names if d != 'scripts' a... | 119 | 1 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : list[int] ):
'''simple docstring'''
__lowercase =[]
if len(lowercase__ ) == 1:
return [nums.copy()]
for _ in range(len(lowercase__ ) ):
__lowercase =nums.pop(0 )
... | 119 |
'''simple docstring'''
from collections import defaultdict
from math import gcd
def __UpperCamelCase ( lowercase__ : int = 1_50_00_00 ):
'''simple docstring'''
__lowercase =defaultdict(lowercase__ )
__lowercase =2
while 2 * euclid_m * (euclid_m + 1) <... | 119 | 1 |
'''simple docstring'''
from __future__ import annotations
import math
from collections.abc import Callable
def __UpperCamelCase ( lowercase__ : Callable[[int | float], int | float], lowercase__ : int | float, lowercase__ : int | float, lowercase__ : int = 1_00, ):
... | 119 |
'''simple docstring'''
# Function to print upper half of diamond (pyramid)
def __UpperCamelCase ( lowercase__ : Optional[Any] ):
'''simple docstring'''
for i in range(0, lowercase__ ):
for _ in range(0, n - i - 1 ): # printing spaces
p... | 119 | 1 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
UpperCAmelCase = {
'''configuration_layoutlmv2''': ['''LAYOUTLMV2_PRETRAINED_CONFIG_ARCHIVE_M... | 119 |
'''simple docstring'''
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import cached_download, hf_hub_url
from PIL import Image
from transformers import DPTConfig, DPTForDepthEstimation, DPTForSemanticSegmentation, DPTImageProcessor
from transformers.utils imp... | 119 | 1 |
'''simple docstring'''
UpperCAmelCase = [0, 2, 4, 6, 8]
UpperCAmelCase = [1, 3, 5, 7, 9]
def __UpperCamelCase ( lowercase__ : int, lowercase__ : int, lowercase__ : list[int], lowercase__ : int ):
'''simple docstring'''
if remaining_length =... | 119 |
'''simple docstring'''
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=A )
class lowerCAmelCase ( A ):
# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSO... | 119 | 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 AddedToken, PreTrainedTokenizer
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {''... | 119 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : int ):
'''simple docstring'''
if n == 1 or not isinstance(lowercase__, lowercase__ ):
return 0
elif n == 2:
return 1
else:
__lowercase =[0, 1]
for i in r... | 119 | 1 |
'''simple docstring'''
from __future__ import annotations
def __UpperCamelCase ( lowercase__ : float, lowercase__ : float, lowercase__ : float ):
'''simple docstring'''
if (voltage, current, resistance).count(0 ) != 1:
raise ValueError('One and on... | 119 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : List[str], lowercase__ : Tuple ):
'''simple docstring'''
__lowercase =[0 for i in range(r + 1 )]
# nc0 = 1
__lowercase =1
for i in range(1, n + 1 ):
# to comput... | 119 | 1 |
'''simple docstring'''
from statistics import mean
import numpy as np
def __UpperCamelCase ( lowercase__ : list, lowercase__ : list, lowercase__ : list, lowercase__ : int ):
'''simple docstring'''
__lowercase =0
# Number of processes fin... | 119 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from diffusers import PNDMPipeline, PNDMScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
enable_full_determinism()
class lowerCAmelCase ( unittest.TestCase ):
... | 119 | 1 |
'''simple docstring'''
from numpy import exp, pi, sqrt
def __UpperCamelCase ( lowercase__ : Optional[int], lowercase__ : float = 0.0, lowercase__ : float = 1.0 ):
'''simple docstring'''
return 1 / sqrt(2 * pi * sigma**2 ) * exp(-((x - mu) ** 2) / (2 * sigma... | 119 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : int ):
'''simple docstring'''
if upper_limit < 0:
raise ValueError('Limit for the Catalan sequence must be ≥ 0' )
__lowercase =[0] * (upper_limit + 1)
# Base case: C(0) = C(1) = 1
__... | 119 | 1 |
'''simple docstring'''
import copy
import os
import tempfile
from unittest import TestCase
from unittest.mock import patch
import numpy as np
import pyarrow as pa
import pyarrow.parquet as pq
import pytest
from datasets.arrow_writer import ArrowWriter, OptimizedTypedSequence, ParquetWriter, TypedSequence
from data... | 119 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
UpperCAmelCase = {
'''configuration_owlvit''': [
... | 119 | 1 |
'''simple docstring'''
import comet # From: unbabel-comet
import torch
import datasets
UpperCAmelCase = datasets.logging.get_logger(__name__)
UpperCAmelCase = '''\
@inproceedings{rei-EtAl:2020:WMT,
author = {Rei, Ricardo and Stewart, Craig and Farinha, Ana C and Lavie, Alon},
title ... | 119 |
'''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 import Conversation
Up... | 119 | 1 |
'''simple docstring'''
import argparse
import torch
from safetensors.torch import load_file
from diffusers import StableDiffusionPipeline
def __UpperCamelCase ( lowercase__ : Union[str, Any], lowercase__ : Union[str, Any], lowercase__ : Tuple, lowercase__ : Optional[int]... | 119 |
'''simple docstring'''
from __future__ import annotations
def __UpperCamelCase ( lowercase__ : float, lowercase__ : float, lowercase__ : float ):
'''simple docstring'''
if (voltage, current, resistance).count(0 ) != 1:
raise ValueError('One and on... | 119 | 1 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : int ):
'''simple docstring'''
if upper_limit < 0:
raise ValueError('Limit for the Catalan sequence must be ≥ 0' )
__lowercase =[0] * (upper_limit + 1)
# Base case: C(0) = C(1) = 1
__... | 119 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : list[int] ):
'''simple docstring'''
if not nums: # Makes sure that the list is not empty
raise ValueError('List is empty' )
__lowercase =sum(lowercase__ ) / len(lowercase__ ) # Calculate ... | 119 | 1 |
'''simple docstring'''
import warnings
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class lowerCAmelCase ( A ):
lowerCAmelCase_ = ["image_processor", "tokenizer"]
lowerCAmelCase_ = "CLIPImageProcessor"
lowerC... | 119 |
'''simple docstring'''
import string
def __UpperCamelCase ( lowercase__ : str ):
'''simple docstring'''
for key in range(len(string.ascii_uppercase ) ):
__lowercase =''
for symbol in message:
if symbol in string.ascii_uppercase:
... | 119 | 1 |
'''simple docstring'''
from typing import List, Optional
import numpy as np
from ...processing_utils import ProcessorMixin
from ...utils import to_numpy
class lowerCAmelCase ( A ):
lowerCAmelCase_ = "EncodecFeatureExtractor"
lowerCAmelCase_ = ("T5Tokenizer", "T5Tokeniz... | 119 |
'''simple docstring'''
import enum
import warnings
from ..tokenization_utils import TruncationStrategy
from ..utils import add_end_docstrings, is_tf_available, is_torch_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_tf_available():
import tensorflow as tf
from ..models.auto... | 119 | 1 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : int = 10_00 ):
'''simple docstring'''
__lowercase =2**power
__lowercase =str(lowercase__ )
__lowercase =list(lowercase__ )
__lowercase =0
for i in list_num:
... | 119 |
'''simple docstring'''
class lowerCAmelCase :
def __init__( self : List[Any] , __lowercase : str , __lowercase : Any , __lowercase : str ):
"""simple docstring"""
__lowercase =name
__lowercase ... | 119 | 1 |
'''simple docstring'''
import re
from filelock import FileLock
try:
import nltk
UpperCAmelCase = True
except (ImportError, ModuleNotFoundError):
UpperCAmelCase = False
if NLTK_AVAILABLE:
with FileLock('''.lock''') as lock:
nltk.download('''punkt''', quiet=True... | 119 |
'''simple docstring'''
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoFeatureExtractor, WavaVecaFeatureExtractor
from transformers.testing_utils... | 119 | 1 |
'''simple docstring'''
from typing import List, Optional
from ...configuration_utils import PretrainedConfig
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
'''huggingface/autoformer-tourism-monthly''': '''https://huggingface.co/huggingface/autoformer-t... | 119 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
'''shi-labs/dinat-mini-in1k-224... | 119 | 1 |
'''simple docstring'''
from __future__ import annotations
def __UpperCamelCase ( lowercase__ : int ):
'''simple docstring'''
__lowercase =str(lowercase__ )
return len(lowercase__ ) == 9 and set(lowercase__ ) == set('123456789' )
def __UpperCamelCase ... | 119 |
'''simple docstring'''
import argparse
import os
import gluonnlp as nlp
import mxnet as mx
import numpy as np
import torch
from gluonnlp.base import get_home_dir
from gluonnlp.model.bert import BERTEncoder
from gluonnlp.model.utils import _load_vocab
from gluonnlp.vocab import Vocab
from packaging import version
fr... | 119 | 1 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : str, lowercase__ : bool = False ):
'''simple docstring'''
if not isinstance(lowercase__, lowercase__ ):
__lowercase =F'''Expected string as input, found {type(lowercase__ )}'''
... | 119 |
'''simple docstring'''
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple
import sentencepiece as spm
from ...tokenization_utils import AddedToken, BatchEncoding, PreTrainedTokenizer
from ...utils import logging
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmel... | 119 | 1 |
'''simple docstring'''
import darl # noqa
import gym
import tqdm
from diffusers.experimental import ValueGuidedRLPipeline
UpperCAmelCase = {
'''n_samples''': 64,
'''horizon''': 32,
'''num_inference_steps''': 20,
'''n_guide_steps''': 2, # can set to 0 for faster sampling, does not use value n... | 119 |
'''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 transformers import YolosConfig, YolosForObjectDetection, YolosImageProcessor
from transformers.utils import logging
logging.set_verbosit... | 119 | 1 |
import logging
import os
from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union
from filelock import FileLock
from transformers import PreTrainedTokenizer, is_tf_available, is_torch_available
SCREAMING_SNAKE_CASE__ : Union[str, Any] = logging.getLogger(__n... | 0 |
'''simple docstring'''
import importlib.util
import os
import platform
from argparse import ArgumentParser
import huggingface_hub
from .. import __version__ as version
from ..utils import (
is_accelerate_available,
is_flax_available,
is_safetensors_available,
is_tf_available,
is_torch_available... | 119 | 0 |
def _A ( _lowercase ) -> Dict:
"""simple docstring"""
__UpperCamelCase = []
__UpperCamelCase = set({'(', '[', '{'} )
__UpperCamelCase = set({')', ']', '}'} )
__UpperCamelCase = {'{': '}', '[': ']', '(': ')'}
for i in range(len(_lowercase ) ):
... | 1 |
'''simple docstring'''
import os
from collections.abc import Iterator
def __UpperCamelCase ( lowercase__ : str = "." ):
'''simple docstring'''
for dir_path, dir_names, filenames in os.walk(lowercase__ ):
__lowercase =[d for d in dir_names if d != 'scripts' a... | 119 | 0 |
import pprint
import requests
UpperCAmelCase_ = """https://zenquotes.io/api"""
def SCREAMING_SNAKE_CASE_ ( ) -> list:
return requests.get(API_ENDPOINT_URL + '''/today''' ).json()
def SCREAMING_SNAKE_CASE_ ( ) -> list:
return requests.get(API_ENDPOINT_URL + ''... | 2 |
'''simple docstring'''
from collections import defaultdict
from math import gcd
def __UpperCamelCase ( lowercase__ : int = 1_50_00_00 ):
'''simple docstring'''
__lowercase =defaultdict(lowercase__ )
__lowercase =2
while 2 * euclid_m * (euclid_m + 1) <... | 119 | 0 |
'''simple docstring'''
import requests
lowerCAmelCase : List[str] = '' # <-- Put your OpenWeatherMap appid here!
lowerCAmelCase : Tuple = 'https://api.openweathermap.org/data/2.5/'
def A_( A : str = "Chicago" , A : str = APPID):
ret... | 3 |
'''simple docstring'''
# Function to print upper half of diamond (pyramid)
def __UpperCamelCase ( lowercase__ : Optional[Any] ):
'''simple docstring'''
for i in range(0, lowercase__ ):
for _ in range(0, n - i - 1 ): # printing spaces
p... | 119 | 0 |
"""simple docstring"""
import gc
import unittest
import numpy as np
import torch
from diffusers import DanceDiffusionPipeline, IPNDMScheduler, UNetaDModel
from diffusers.utils import slow, torch_device
from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu, skip_mps
from ..pipelin... | 4 |
'''simple docstring'''
import argparse
import json
from pathlib import Path
import requests
import torch
from huggingface_hub import cached_download, hf_hub_url
from PIL import Image
from transformers import DPTConfig, DPTForDepthEstimation, DPTForSemanticSegmentation, DPTImageProcessor
from transformers.utils imp... | 119 | 0 |
'''simple docstring'''
def A ():
for n in range(1 , 1000000 ):
yield n * (n + 1) // 2
def A (__lowerCamelCase :List[Any] ):
_lowerCAmelCase = 1
_lowerCAmelCase = 2
while i * i <= n:
_lowerCAmelCase = 0
while ... | 5 |
'''simple docstring'''
from dataclasses import dataclass, field
from typing import ClassVar, Dict
from ..features import Features, Value
from .base import TaskTemplate
@dataclass(frozen=A )
class lowerCAmelCase ( A ):
# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSO... | 119 | 0 |
# 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 required by app... | 6 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : int ):
'''simple docstring'''
if n == 1 or not isinstance(lowercase__, lowercase__ ):
return 0
elif n == 2:
return 1
else:
__lowercase =[0, 1]
for i in r... | 119 | 0 |
"""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_common import Mode... | 7 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : List[str], lowercase__ : Tuple ):
'''simple docstring'''
__lowercase =[0 for i in range(r + 1 )]
# nc0 = 1
__lowercase =1
for i in range(1, n + 1 ):
# to comput... | 119 | 0 |
'''simple docstring'''
import sys
lowercase__ : int = (
'''73167176531330624919225119674426574742355349194934'''
'''96983520312774506326239578318016984801869478851843'''
'''85861560789112949495459501737958331952853208805511'''
'''12540698747158523863050715... | 8 |
'''simple docstring'''
import unittest
import numpy as np
import torch
from diffusers import PNDMPipeline, PNDMScheduler, UNetaDModel
from diffusers.utils.testing_utils import enable_full_determinism, require_torch, slow, torch_device
enable_full_determinism()
class lowerCAmelCase ( unittest.TestCase ):
... | 119 | 0 |
from dataclasses import dataclass
from typing import Optional, Tuple, Union
import flax
import jax.numpy as jnp
from jax import random
from ..configuration_utils import ConfigMixin, register_to_config
from ..utils import BaseOutput
from .scheduling_utils_flax import FlaxSchedulerMixin
@flax.struct.dataclass
cla... | 9 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : int ):
'''simple docstring'''
if upper_limit < 0:
raise ValueError('Limit for the Catalan sequence must be ≥ 0' )
__lowercase =[0] * (upper_limit + 1)
# Base case: C(0) = C(1) = 1
__... | 119 | 0 |
from __future__ import annotations
import unittest
from transformers import BlenderbotConfig, BlenderbotTokenizer, is_tf_available
from transformers.testing_utils import require_tf, require_tokenizers, slow
from transformers.utils import cached_property
from ...test_configuration_common import ConfigTester
from ...t... | 10 |
'''simple docstring'''
from typing import TYPE_CHECKING
from ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_flax_available,
is_tf_available,
is_tokenizers_available,
is_torch_available,
is_vision_available,
)
UpperCAmelCase = {
'''configuration_owlvit''': [
... | 119 | 0 |
'''simple docstring'''
import argparse
import re
from flax.traverse_util import flatten_dict, unflatten_dict
from tax import checkpoints
from transformers import SwitchTransformersConfig, SwitchTransformersForConditionalGeneration
from transformers.modeling_flax_pytorch_utils import load_flax_weights_in_pyto... | 11 |
'''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 import Conversation
Up... | 119 | 0 |
import math
import time
from transformers import Trainer, is_torch_tpu_available
from transformers.trainer_utils import PredictionOutput, speed_metrics
if is_torch_tpu_available(check_device=False):
import torch_xla.core.xla_model as xm
import torch_xla.debug.metrics as met
class _snak... | 12 |
'''simple docstring'''
from __future__ import annotations
def __UpperCamelCase ( lowercase__ : float, lowercase__ : float, lowercase__ : float ):
'''simple docstring'''
if (voltage, current, resistance).count(0 ) != 1:
raise ValueError('One and on... | 119 | 0 |
'''simple docstring'''
from __future__ import annotations
import typing
from collections.abc import Iterable
import numpy as np
A__ : Dict = typing.Union[Iterable[float], Iterable[int], np.ndarray] # noqa: UP007
A__ : Optional[Any] = typing.Union[np.floataa, int, float] # noqa: UP00... | 13 |
'''simple docstring'''
def __UpperCamelCase ( lowercase__ : list[int] ):
'''simple docstring'''
if not nums: # Makes sure that the list is not empty
raise ValueError('List is empty' )
__lowercase =sum(lowercase__ ) / len(lowercase__ ) # Calculate ... | 119 | 0 |
import datasets
from .nmt_bleu import compute_bleu # From: https://github.com/tensorflow/nmt/blob/master/nmt/scripts/bleu.py
a__ = '''\
@INPROCEEDINGS{Papineni02bleu:a,
author = {Kishore Papineni and Salim Roukos and Todd Ward and Wei-jing Zhu},
title = {BLEU: a Method for Automatic... | 14 |
'''simple docstring'''
import string
def __UpperCamelCase ( lowercase__ : str ):
'''simple docstring'''
for key in range(len(string.ascii_uppercase ) ):
__lowercase =''
for symbol in message:
if symbol in string.ascii_uppercase:
... | 119 | 0 |
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_common import ModelTesterMixin, ids... | 15 |
'''simple docstring'''
import enum
import warnings
from ..tokenization_utils import TruncationStrategy
from ..utils import add_end_docstrings, is_tf_available, is_torch_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline
if is_tf_available():
import tensorflow as tf
from ..models.auto... | 119 | 0 |
import inspect
import jax
import jax.lax as lax
import jax.numpy as jnp
from ..utils import add_start_docstrings
from ..utils.logging import get_logger
__A : Dict = get_logger(__name__)
__A : Tuple = r'\n Args:\n input_ids (`jnp.ndarray` of shape `(batch_size, ... | 16 |
'''simple docstring'''
class lowerCAmelCase :
def __init__( self : List[Any] , __lowercase : str , __lowercase : Any , __lowercase : str ):
"""simple docstring"""
__lowercase =name
__lowercase ... | 119 | 0 |
import requests
UpperCAmelCase_ : List[Any] = '''''' # <-- Put your OpenWeatherMap appid here!
UpperCAmelCase_ : List[Any] = '''https://api.openweathermap.org/data/2.5/'''
def __SCREAMING_SNAKE_CASE ( a__ : str = "Chicago" ,a__ : str = APPID ) -> dic... | 17 |
'''simple docstring'''
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path
from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError
from transformers import AutoFeatureExtractor, WavaVecaFeatureExtractor
from transformers.testing_utils... | 119 | 0 |
'''simple docstring'''
import json
import os
import subprocess
import unittest
from ast import literal_eval
import pytest
from parameterized import parameterized_class
from . import is_sagemaker_available
if is_sagemaker_available():
from sagemaker import Session, TrainingJobAnalytics
from sag... | 18 |
'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices
UpperCAmelCase = logging.get_logger(__name__)
UpperCAmelCase = {
'''shi-labs/dinat-mini-in1k-224... | 119 | 0 |
"""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_a... | 19 |
'''simple docstring'''
import argparse
import os
import gluonnlp as nlp
import mxnet as mx
import numpy as np
import torch
from gluonnlp.base import get_home_dir
from gluonnlp.model.bert import BERTEncoder
from gluonnlp.model.utils import _load_vocab
from gluonnlp.vocab import Vocab
from packaging import version
fr... | 119 | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.