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23,463
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/encoders/timm_sknet.py
27,28
7,43
forward
SkNetEncoder
28,37
28,37
class SkNetEncoder(ResNet, EncoderMixin): def __init__(self, out_channels, depth=5, **kwargs): super().__init__(**kwargs) self._depth = depth self._out_channels = out_channels self._in_channels = 3 del self.fc del self.global_pool def get_stages(self): r...
class SkNetEncoder(ResNet, EncoderMixin): def __init__(self, out_channels, depth=5, **kwargs): super().__init__(**kwargs) self._depth = depth self._out_channels = out_channels self._in_channels = 3 del self.fc del self.global_pool def get_stages(self): r...
stages = self.get_stages() features = [] for i in range(self._depth + 1): x = stages[i](x) features.append(x) return features
stages = self.get_stages() features = [] for i in range(self._depth + 1): x = stages[i](x) features.append(x) return features
18
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from ._base import EncoderMixin from timm.models.resnet import ResNet from timm.models.sknet import SelectiveKernelBottleneck, SelectiveKernelBasic import torch.nn as nn class SkNetEncoder(ResNet, EncoderMixin): def __init__(self, out_channels, depth=5, **kwargs): super().__init__(**kwargs) self._...
from ._base import EncoderMixin from timm.models.resnet import ResNet from timm.models.sknet import SelectiveKernelBottleneck, SelectiveKernelBasic import torch.nn as nn class SkNetEncoder(ResNet, EncoderMixin): def __init__(self, out_channels, depth=5, **kwargs): super().__init__(**kwargs) self._...
23,464
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/encoders/timm_universal.py
29,30
5,43
forward
TimmUniversalEncoder
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30,36
class TimmUniversalEncoder(nn.Module): def __init__(self, name, pretrained=True, in_channels=3, depth=5, output_stride=32): super().__init__() kwargs = dict( in_chans=in_channels, features_only=True, output_stride=output_stride, pretrained=pretrained, ...
class TimmUniversalEncoder(nn.Module): def __init__(self, name, pretrained=True, in_channels=3, depth=5, output_stride=32): super().__init__() kwargs = dict( in_chans=in_channels, features_only=True, output_stride=output_stride, pretrained=pretrained, ...
features = self.model(x) features = [ x, ] + features return features
features = self.model(x) features = [ x, ] + features return features
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import timm import torch.nn as nn class TimmUniversalEncoder(nn.Module): def __init__(self, name, pretrained=True, in_channels=3, depth=5, output_stride=32): super().__init__() kwargs = dict( in_chans=in_channels, features_only=True, output_stride=output_stride,...
import timm import torch.nn as nn class TimmUniversalEncoder(nn.Module): def __init__(self, name, pretrained=True, in_channels=3, depth=5, output_stride=32): super().__init__() kwargs = dict( in_chans=in_channels, features_only=True, output_stride=output_stride,...
23,465
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/encoders/vgg.py
75,76
43,83
load_state_dict
VGGEncoder
76,83
76,83
class VGGEncoder(VGG, EncoderMixin): def __init__(self, out_channels, config, batch_norm=False, depth=5, **kwargs): super().__init__(make_layers(config, batch_norm=batch_norm), **kwargs) self._out_channels = out_channels self._depth = depth self._in_channels = 3 del self.clas...
class VGGEncoder(VGG, EncoderMixin): def __init__(self, out_channels, config, batch_norm=False, depth=5, **kwargs): super().__init__(make_layers(config, batch_norm=batch_norm), **kwargs) self._out_channels = out_channels self._depth = depth self._in_channels = 3 del self.clas...
keys = list(state_dict.keys()) for k in keys: if k.startswith("classifier"): state_dict.pop(k, None) super().load_state_dict(state_dict, **kwargs)
keys = list(state_dict.keys()) for k in keys: if k.startswith("classifier"): state_dict.pop(k, None) super().load_state_dict(state_dict, **kwargs)
13
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"""Each encoder should have following attributes and methods and be inherited from `_base.EncoderMixin` Attributes: _out_channels (list of int): specify number of channels for each encoder feature tensor _depth (int): specify number of stages in decoder (in other words number of downsampling operations) _...
"""Each encoder should have following attributes and methods and be inherited from `_base.EncoderMixin` Attributes: _out_channels (list of int): specify number of channels for each encoder feature tensor _depth (int): specify number of stages in decoder (in other words number of downsampling operations) _...
23,466
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/encoders/xception.py
59,60
10,67
load_state_dict
XceptionEncoder
60,67
60,67
class XceptionEncoder(Xception, EncoderMixin): def __init__(self, out_channels, *args, depth=5, **kwargs): super().__init__(*args, **kwargs) self._out_channels = out_channels self._depth = depth self._in_channels = 3 # modify padding to maintain output shape self.co...
class XceptionEncoder(Xception, EncoderMixin): def __init__(self, out_channels, *args, depth=5, **kwargs): super().__init__(*args, **kwargs) self._out_channels = out_channels self._depth = depth self._in_channels = 3 # modify padding to maintain output shape self.co...
# remove linear state_dict.pop("fc.bias", None) state_dict.pop("fc.weight", None) super().load_state_dict(state_dict)
# remove linear state_dict.pop("fc.bias", None) state_dict.pop("fc.weight", None) super().load_state_dict(state_dict)
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import re import torch.nn as nn from pretrainedmodels.models.xception import pretrained_settings from pretrainedmodels.models.xception import Xception from ._base import EncoderMixin class XceptionEncoder(Xception, EncoderMixin): def __init__(self, out_channels, *args, depth=5, **kwargs): super().__init...
import re import torch.nn as nn from pretrainedmodels.models.xception import pretrained_settings from pretrainedmodels.models.xception import Xception from ._base import EncoderMixin class XceptionEncoder(Xception, EncoderMixin): def __init__(self, out_channels, *args, depth=5, **kwargs): super().__init...
23,467
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/losses/dice.py
57,58
12,131
forward
DiceLoss
58,126
58,126
class DiceLoss(_Loss): def __init__( self, mode: str, classes: Optional[List[int]] = None, log_loss: bool = False, from_logits: bool = True, smooth: float = 0.0, ignore_index: Optional[int] = None, eps: float = 1e-7, ): """Dice loss for ima...
class DiceLoss(_Loss): def __init__( self, mode: str, classes: Optional[List[int]] = None, log_loss: bool = False, from_logits: bool = True, smooth: float = 0.0, ignore_index: Optional[int] = None, eps: float = 1e-7, ): """Dice loss for ima...
assert y_true.size(0) == y_pred.size(0) if self.from_logits: # Apply activations to get [0..1] class probabilities # Using Log-Exp as this gives more numerically stable result and does not cause vanishing gradient on # extreme values 0 and 1 if self.mode...
assert y_true.size(0) == y_pred.size(0) if self.from_logits: # Apply activations to get [0..1] class probabilities # Using Log-Exp as this gives more numerically stable result and does not cause vanishing gradient on # extreme values 0 and 1 if self.mode...
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from typing import Optional, List import torch import torch.nn.functional as F from torch.nn.modules.loss import _Loss from ._functional import soft_dice_score, to_tensor from .constants import BINARY_MODE, MULTICLASS_MODE, MULTILABEL_MODE __all__ = ["DiceLoss"] class DiceLoss(_Loss): def __init__( self...
from typing import Optional, List import torch import torch.nn.functional as F from torch.nn.modules.loss import _Loss from ._functional import soft_dice_score, to_tensor from .constants import BINARY_MODE, MULTICLASS_MODE, MULTILABEL_MODE __all__ = ["DiceLoss"] class DiceLoss(_Loss): def __init__( self...
23,468
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/losses/focal.py
57,58
12,91
forward
FocalLoss
58,91
58,91
class FocalLoss(_Loss): def __init__( self, mode: str, alpha: Optional[float] = None, gamma: Optional[float] = 2.0, ignore_index: Optional[int] = None, reduction: Optional[str] = "mean", normalized: bool = False, reduced_threshold: Optional[float] = No...
class FocalLoss(_Loss): def __init__( self, mode: str, alpha: Optional[float] = None, gamma: Optional[float] = 2.0, ignore_index: Optional[int] = None, reduction: Optional[str] = "mean", normalized: bool = False, reduced_threshold: Optional[float] = No...
if self.mode in {BINARY_MODE, MULTILABEL_MODE}: y_true = y_true.view(-1) y_pred = y_pred.view(-1) if self.ignore_index is not None: # Filter predictions with ignore label from loss computation not_ignored = y_true != self.ignore_index ...
if self.mode in {BINARY_MODE, MULTILABEL_MODE}: y_true = y_true.view(-1) y_pred = y_pred.view(-1) if self.ignore_index is not None: # Filter predictions with ignore label from loss computation not_ignored = y_true != self.ignore_index ...
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from typing import Optional from functools import partial import torch from torch.nn.modules.loss import _Loss from ._functional import focal_loss_with_logits from .constants import BINARY_MODE, MULTICLASS_MODE, MULTILABEL_MODE __all__ = ["FocalLoss"] class FocalLoss(_Loss): def __init__( self, ...
from typing import Optional from functools import partial import torch from torch.nn.modules.loss import _Loss from ._functional import focal_loss_with_logits from .constants import BINARY_MODE, MULTICLASS_MODE, MULTILABEL_MODE __all__ = ["FocalLoss"] class FocalLoss(_Loss): def __init__( self, ...
23,469
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/losses/jaccard.py
55,56
12,112
forward
JaccardLoss
56,112
56,112
class JaccardLoss(_Loss): def __init__( self, mode: str, classes: Optional[List[int]] = None, log_loss: bool = False, from_logits: bool = True, smooth: float = 0.0, eps: float = 1e-7, ): """Jaccard loss for image segmentation task. It suppo...
class JaccardLoss(_Loss): def __init__( self, mode: str, classes: Optional[List[int]] = None, log_loss: bool = False, from_logits: bool = True, smooth: float = 0.0, eps: float = 1e-7, ): """Jaccard loss for image segmentation task. It suppo...
assert y_true.size(0) == y_pred.size(0) if self.from_logits: # Apply activations to get [0..1] class probabilities # Using Log-Exp as this gives more numerically stable result and does not cause vanishing gradient on # extreme values 0 and 1 if self.mode...
assert y_true.size(0) == y_pred.size(0) if self.from_logits: # Apply activations to get [0..1] class probabilities # Using Log-Exp as this gives more numerically stable result and does not cause vanishing gradient on # extreme values 0 and 1 if self.mode...
200
542
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from typing import Optional, List import torch import torch.nn.functional as F from torch.nn.modules.loss import _Loss from ._functional import soft_jaccard_score, to_tensor from .constants import BINARY_MODE, MULTICLASS_MODE, MULTILABEL_MODE __all__ = ["JaccardLoss"] class JaccardLoss(_Loss): def __init__( ...
from typing import Optional, List import torch import torch.nn.functional as F from torch.nn.modules.loss import _Loss from ._functional import soft_jaccard_score, to_tensor from .constants import BINARY_MODE, MULTICLASS_MODE, MULTILABEL_MODE __all__ = ["JaccardLoss"] class JaccardLoss(_Loss): def __init__( ...
23,471
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/losses/lovasz.py
216,217
186,226
forward
LovaszLoss
217,226
217,226
class LovaszLoss(_Loss): def __init__( self, mode: str, per_image: bool = False, ignore_index: Optional[int] = None, from_logits: bool = True, ): """Lovasz loss for image segmentation task. It supports binary, multiclass and multilabel cases Args:...
class LovaszLoss(_Loss): def __init__( self, mode: str, per_image: bool = False, ignore_index: Optional[int] = None, from_logits: bool = True, ): """Lovasz loss for image segmentation task. It supports binary, multiclass and multilabel cases Args:...
if self.mode in {BINARY_MODE, MULTILABEL_MODE}: loss = _lovasz_hinge(y_pred, y_true, per_image=self.per_image, ignore=self.ignore_index) elif self.mode == MULTICLASS_MODE: y_pred = y_pred.softmax(dim=1) loss = _lovasz_softmax(y_pred, y_true, per_image=self.per_image,...
if self.mode in {BINARY_MODE, MULTILABEL_MODE}: loss = _lovasz_hinge(y_pred, y_true, per_image=self.per_image, ignore=self.ignore_index) elif self.mode == MULTICLASS_MODE: y_pred = y_pred.softmax(dim=1) loss = _lovasz_softmax(y_pred, y_true, per_image=self.per_image,...
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""" Lovasz-Softmax and Jaccard hinge loss in PyTorch Maxim Berman 2018 ESAT-PSI KU Leuven (MIT License) """ from __future__ import print_function, division from typing import Optional import torch import torch.nn.functional as F from torch.nn.modules.loss import _Loss from .constants import BINARY_MODE, MULTICLASS_MO...
""" Lovasz-Softmax and Jaccard hinge loss in PyTorch Maxim Berman 2018 ESAT-PSI KU Leuven (MIT License) """ from __future__ import print_function, division from typing import Optional import torch import torch.nn.functional as F from torch.nn.modules.loss import _Loss from .constants import BINARY_MODE, MULTICLASS_MO...
23,472
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/losses/mcc.py
19,20
5,47
forward
MCCLoss
29,47
20,47
class MCCLoss(_Loss): def __init__(self, eps: float = 1e-5): """Compute Matthews Correlation Coefficient Loss for image segmentation task. It only supports binary mode. Args: eps (float): Small epsilon to handle situations where all the samples in the dataset belong to one class...
class MCCLoss(_Loss): def __init__(self, eps: float = 1e-5): """Compute Matthews Correlation Coefficient Loss for image segmentation task. It only supports binary mode. Args: eps (float): Small epsilon to handle situations where all the samples in the dataset belong to one class...
bs = y_true.shape[0] y_true = y_true.view(bs, 1, -1) y_pred = y_pred.view(bs, 1, -1) tp = torch.sum(torch.mul(y_pred, y_true)) + self.eps tn = torch.sum(torch.mul((1 - y_pred), (1 - y_true))) + self.eps fp = torch.sum(torch.mul(y_pred, (1 - y_true))) + self.eps ...
"""Compute MCC loss Args: y_pred (torch.Tensor): model prediction of shape (N, H, W) or (N, 1, H, W) y_true (torch.Tensor): ground truth labels of shape (N, H, W) or (N, 1, H, W) Returns: torch.Tensor: loss value (1 - mcc) """ bs = y_true.sh...
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import torch from torch.nn.modules.loss import _Loss class MCCLoss(_Loss): def __init__(self, eps: float = 1e-5): """Compute Matthews Correlation Coefficient Loss for image segmentation task. It only supports binary mode. Args: eps (float): Small epsilon to handle situations w...
import torch from torch.nn.modules.loss import _Loss class MCCLoss(_Loss): def __init__(self, eps: float = 1e-5): """Compute Matthews Correlation Coefficient Loss for image segmentation task. It only supports binary mode. Args: eps (float): Small epsilon to handle situations w...
23,473
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/losses/soft_bce.py
49,50
10,83
forward
SoftBCEWithLogitsLoss
58,83
50,83
class SoftBCEWithLogitsLoss(nn.Module): __constants__ = [ "weight", "pos_weight", "reduction", "ignore_index", "smooth_factor", ] def __init__( self, weight: Optional[torch.Tensor] = None, ignore_index: Optional[int] = -100, reduction...
class SoftBCEWithLogitsLoss(nn.Module): __constants__ = [ "weight", "pos_weight", "reduction", "ignore_index", "smooth_factor", ] def __init__( self, weight: Optional[torch.Tensor] = None, ignore_index: Optional[int] = -100, reduction...
if self.smooth_factor is not None: soft_targets = (1 - y_true) * self.smooth_factor + y_true * (1 - self.smooth_factor) else: soft_targets = y_true loss = F.binary_cross_entropy_with_logits( y_pred, soft_targets, self.weight, ...
""" Args: y_pred: torch.Tensor of shape (N, C, H, W) y_true: torch.Tensor of shape (N, H, W) or (N, 1, H, W) Returns: loss: torch.Tensor """ if self.smooth_factor is not None: soft_targets = (1 - y_true) * self.smooth_factor + y_...
60
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from typing import Optional import torch import torch.nn.functional as F from torch import nn, Tensor __all__ = ["SoftBCEWithLogitsLoss"] class SoftBCEWithLogitsLoss(nn.Module): __constants__ = [ "weight", "pos_weight", "reduction", "ignore_index", "smooth_factor", ]...
from typing import Optional import torch import torch.nn.functional as F from torch import nn, Tensor __all__ = ["SoftBCEWithLogitsLoss"] class SoftBCEWithLogitsLoss(nn.Module): __constants__ = [ "weight", "pos_weight", "reduction", "ignore_index", "smooth_factor", ]...
23,474
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/losses/soft_ce.py
39,40
10,49
forward
SoftCrossEntropyLoss
40,49
40,49
class SoftCrossEntropyLoss(nn.Module): __constants__ = ["reduction", "ignore_index", "smooth_factor"] def __init__( self, reduction: str = "mean", smooth_factor: Optional[float] = None, ignore_index: Optional[int] = -100, dim: int = 1, ): """Drop-in replacem...
class SoftCrossEntropyLoss(nn.Module): __constants__ = ["reduction", "ignore_index", "smooth_factor"] def __init__( self, reduction: str = "mean", smooth_factor: Optional[float] = None, ignore_index: Optional[int] = -100, dim: int = 1, ): """Drop-in replacem...
log_prob = F.log_softmax(y_pred, dim=self.dim) return label_smoothed_nll_loss( log_prob, y_true, epsilon=self.smooth_factor, ignore_index=self.ignore_index, reduction=self.reduction, dim=self.dim, )
log_prob = F.log_softmax(y_pred, dim=self.dim) return label_smoothed_nll_loss( log_prob, y_true, epsilon=self.smooth_factor, ignore_index=self.ignore_index, reduction=self.reduction, dim=self.dim, )
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from typing import Optional from torch import nn, Tensor import torch import torch.nn.functional as F from ._functional import label_smoothed_nll_loss __all__ = ["SoftCrossEntropyLoss"] class SoftCrossEntropyLoss(nn.Module): __constants__ = ["reduction", "ignore_index", "smooth_factor"] def __init__( ...
from typing import Optional from torch import nn, Tensor import torch import torch.nn.functional as F from ._functional import label_smoothed_nll_loss __all__ = ["SoftCrossEntropyLoss"] class SoftCrossEntropyLoss(nn.Module): __constants__ = ["reduction", "ignore_index", "smooth_factor"] def __init__( ...
23,475
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/losses/tversky.py
58,59
11,60
compute_score
TverskyLoss
59,60
59,60
class TverskyLoss(DiceLoss): """Tversky loss for image segmentation task. Where FP and FN is weighted by alpha and beta params. With alpha == beta == 0.5, this loss becomes equal DiceLoss. It supports binary, multiclass and multilabel cases Args: mode: Metric mode {'binary', 'multiclass', '...
class TverskyLoss(DiceLoss): """Tversky loss for image segmentation task. Where FP and FN is weighted by alpha and beta params. With alpha == beta == 0.5, this loss becomes equal DiceLoss. It supports binary, multiclass and multilabel cases Args: mode: Metric mode {'binary', 'multiclass', '...
return soft_tversky_score(output, target, self.alpha, self.beta, smooth, eps, dims)
return soft_tversky_score(output, target, self.alpha, self.beta, smooth, eps, dims)
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from typing import List, Optional import torch from ._functional import soft_tversky_score from .constants import BINARY_MODE, MULTICLASS_MODE, MULTILABEL_MODE from .dice import DiceLoss __all__ = ["TverskyLoss"] class TverskyLoss(DiceLoss): """Tversky loss for image segmentation task. Where FP and FN is we...
from typing import List, Optional import torch from ._functional import soft_tversky_score from .constants import BINARY_MODE, MULTICLASS_MODE, MULTILABEL_MODE from .dice import DiceLoss __all__ = ["TverskyLoss"] class TverskyLoss(DiceLoss): """Tversky loss for image segmentation task. Where FP and FN is we...
23,477
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/utils/functional.py
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1,126
f_score
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import torch def _take_channels(*xs, ignore_channels=None): if ignore_channels is None: return xs else: channels = [channel for channel in range(xs[0].shape[1]) if channel not in ignore_channels] xs = [torch.index_select(x, dim=1, index=torch.tensor(channels).to(x.device)) for x in xs]...
import torch def _take_channels(*xs, ignore_channels=None): if ignore_channels is None: return xs else: channels = [channel for channel in range(xs[0].shape[1]) if channel not in ignore_channels] xs = [torch.index_select(x, dim=1, index=torch.tensor(channels).to(x.device)) for x in xs]...
pr = _threshold(pr, threshold=threshold) pr, gt = _take_channels(pr, gt, ignore_channels=ignore_channels) tp = torch.sum(gt * pr) fp = torch.sum(pr) - tp fn = torch.sum(gt) - tp score = ((1 + beta**2) * tp + eps) / ((1 + beta**2) * tp + beta**2 * fn + fp + eps) return score
"""Calculate F-score between ground truth and prediction Args: pr (torch.Tensor): predicted tensor gt (torch.Tensor): ground truth tensor beta (float): positive constant eps (float): epsilon to avoid zero division threshold: threshold for outputs binarization Returns...
50
1,135
151
1,286
import torch def _take_channels(*xs, ignore_channels=None): if ignore_channels is None: return xs else: channels = [channel for channel in range(xs[0].shape[1]) if channel not in ignore_channels] xs = [torch.index_select(x, dim=1, index=torch.tensor(channels).to(x.device)) for x in xs]...
import torch def _take_channels(*xs, ignore_channels=None): if ignore_channels is None: return xs else: channels = [channel for channel in range(xs[0].shape[1]) if channel not in ignore_channels] xs = [torch.index_select(x, dim=1, index=torch.tensor(channels).to(x.device)) for x in xs]...
23,478
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/utils/losses.py
34,35
26,46
forward
DiceLoss
35,46
35,46
class DiceLoss(base.Loss): def __init__(self, eps=1.0, beta=1.0, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.beta = beta self.activation = Activation(activation) self.ignore_channels = ignore_channels def forward(self,...
class DiceLoss(base.Loss): def __init__(self, eps=1.0, beta=1.0, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.beta = beta self.activation = Activation(activation) self.ignore_channels = ignore_channels def forward(self,...
y_pr = self.activation(y_pr) return 1 - F.f_score( y_pr, y_gt, beta=self.beta, eps=self.eps, threshold=None, ignore_channels=self.ignore_channels, )
y_pr = self.activation(y_pr) return 1 - F.f_score( y_pr, y_gt, beta=self.beta, eps=self.eps, threshold=None, ignore_channels=self.ignore_channels, )
14
124
92
216
import torch.nn as nn from . import base from . import functional as F from ..base.modules import Activation class JaccardLoss(base.Loss): def __init__(self, eps=1.0, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.activation = Activation(a...
import torch.nn as nn from . import base from . import functional as F from ..base.modules import Activation class JaccardLoss(base.Loss): def __init__(self, eps=1.0, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.activation = Activation(a...
23,479
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/utils/losses.py
15,16
8,26
forward
JaccardLoss
16,26
16,26
class JaccardLoss(base.Loss): def __init__(self, eps=1.0, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.activation = Activation(activation) self.ignore_channels = ignore_channels def forward(self, y_pr, y_gt): FILL_FUNC_BODY
class JaccardLoss(base.Loss): def __init__(self, eps=1.0, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.activation = Activation(activation) self.ignore_channels = ignore_channels def forward(self, y_pr, y_gt): FILL_FUNC_BODY
y_pr = self.activation(y_pr) return 1 - F.jaccard( y_pr, y_gt, eps=self.eps, threshold=None, ignore_channels=self.ignore_channels, )
y_pr = self.activation(y_pr) return 1 - F.jaccard( y_pr, y_gt, eps=self.eps, threshold=None, ignore_channels=self.ignore_channels, )
13
112
83
195
import torch.nn as nn from . import base from . import functional as F from ..base.modules import Activation class JaccardLoss(base.Loss): def __init__(self, eps=1.0, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.activation = Activation(a...
import torch.nn as nn from . import base from . import functional as F from ..base.modules import Activation class JaccardLoss(base.Loss): def __init__(self, eps=1.0, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.activation = Activation(a...
23,480
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/utils/meter.py
31,32
25,62
add
AverageValueMeter
32,50
32,50
class AverageValueMeter(Meter): def __init__(self): super(AverageValueMeter, self).__init__() self.reset() self.val = 0 def add(self, value, n=1): FILL_FUNC_BODY def value(self): return self.mean, self.std def reset(self): self.n = 0 self.sum = 0.0 ...
class AverageValueMeter(Meter): def __init__(self): super(AverageValueMeter, self).__init__() self.reset() self.val = 0 def add(self, value, n=1): FILL_FUNC_BODY def value(self): return self.mean, self.std def reset(self): self.n = 0 self.sum = 0.0 ...
self.val = value self.sum += value self.var += value * value self.n += n if self.n == 0: self.mean, self.std = np.nan, np.nan elif self.n == 1: self.mean = 0.0 + self.sum # This is to force a copy in torch/numpy self.std = np.inf ...
self.val = value self.sum += value self.var += value * value self.n += n if self.n == 0: self.mean, self.std = np.nan, np.nan elif self.n == 1: self.mean = 0.0 + self.sum # This is to force a copy in torch/numpy self.std = np.inf ...
81
171
240
411
import numpy as np class Meter(object): """Meters provide a way to keep track of important statistics in an online manner. This class is abstract, but provides a standard interface for all meters to follow. """ def reset(self): """Reset the meter to default settings.""" pass def ...
import numpy as np class Meter(object): """Meters provide a way to keep track of important statistics in an online manner. This class is abstract, but provides a standard interface for all meters to follow. """ def reset(self): """Reset the meter to default settings.""" pass def ...
23,481
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/utils/metrics.py
55,56
48,65
forward
Accuracy
56,65
56,65
class Accuracy(base.Metric): def __init__(self, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.threshold = threshold self.activation = Activation(activation) self.ignore_channels = ignore_channels def forward(self, y_pr, y_gt): F...
class Accuracy(base.Metric): def __init__(self, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.threshold = threshold self.activation = Activation(activation) self.ignore_channels = ignore_channels def forward(self, y_pr, y_gt): F...
y_pr = self.activation(y_pr) return F.accuracy( y_pr, y_gt, threshold=self.threshold, ignore_channels=self.ignore_channels, )
y_pr = self.activation(y_pr) return F.accuracy( y_pr, y_gt, threshold=self.threshold, ignore_channels=self.ignore_channels, )
10
109
72
181
from . import base from . import functional as F from ..base.modules import Activation class IoU(base.Metric): __name__ = "iou_score" def __init__(self, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.threshold ...
from . import base from . import functional as F from ..base.modules import Activation class IoU(base.Metric): __name__ = "iou_score" def __init__(self, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.threshold ...
23,482
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/utils/metrics.py
36,37
27,48
forward
Fscore
37,48
37,48
class Fscore(base.Metric): def __init__(self, beta=1, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.beta = beta self.threshold = threshold self.activation = Activation(activation) self.ignore_...
class Fscore(base.Metric): def __init__(self, beta=1, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.beta = beta self.threshold = threshold self.activation = Activation(activation) self.ignore_...
y_pr = self.activation(y_pr) return F.f_score( y_pr, y_gt, eps=self.eps, beta=self.beta, threshold=self.threshold, ignore_channels=self.ignore_channels, )
y_pr = self.activation(y_pr) return F.f_score( y_pr, y_gt, eps=self.eps, beta=self.beta, threshold=self.threshold, ignore_channels=self.ignore_channels, )
12
135
92
227
from . import base from . import functional as F from ..base.modules import Activation class IoU(base.Metric): __name__ = "iou_score" def __init__(self, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.threshold ...
from . import base from . import functional as F from ..base.modules import Activation class IoU(base.Metric): __name__ = "iou_score" def __init__(self, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.threshold ...
23,483
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/utils/metrics.py
16,17
6,27
forward
IoU
17,27
17,27
class IoU(base.Metric): __name__ = "iou_score" def __init__(self, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.threshold = threshold self.activation = Activation(activation) self.ignore_channels...
class IoU(base.Metric): __name__ = "iou_score" def __init__(self, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.threshold = threshold self.activation = Activation(activation) self.ignore_channels...
y_pr = self.activation(y_pr) return F.iou( y_pr, y_gt, eps=self.eps, threshold=self.threshold, ignore_channels=self.ignore_channels, )
y_pr = self.activation(y_pr) return F.iou( y_pr, y_gt, eps=self.eps, threshold=self.threshold, ignore_channels=self.ignore_channels, )
11
137
82
219
from . import base from . import functional as F from ..base.modules import Activation class IoU(base.Metric): __name__ = "iou_score" def __init__(self, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.threshold ...
from . import base from . import functional as F from ..base.modules import Activation class IoU(base.Metric): __name__ = "iou_score" def __init__(self, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.threshold ...
23,484
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/utils/metrics.py
92,93
84,101
forward
Precision
93,101
93,101
class Precision(base.Metric): def __init__(self, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.threshold = threshold self.activation = Activation(activation) self.ignore_channels = ignore_channels ...
class Precision(base.Metric): def __init__(self, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.threshold = threshold self.activation = Activation(activation) self.ignore_channels = ignore_channels ...
y_pr = self.activation(y_pr) return F.precision( y_pr, y_gt, eps=self.eps, threshold=self.threshold, ignore_channels=self.ignore_channels, )
y_pr = self.activation(y_pr) return F.precision( y_pr, y_gt, eps=self.eps, threshold=self.threshold, ignore_channels=self.ignore_channels, )
11
124
78
202
from . import base from . import functional as F from ..base.modules import Activation class IoU(base.Metric): __name__ = "iou_score" def __init__(self, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.threshold ...
from . import base from . import functional as F from ..base.modules import Activation class IoU(base.Metric): __name__ = "iou_score" def __init__(self, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.threshold ...
23,485
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/utils/metrics.py
73,74
65,84
forward
Recall
74,84
74,84
class Recall(base.Metric): def __init__(self, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.threshold = threshold self.activation = Activation(activation) self.ignore_channels = ignore_channels d...
class Recall(base.Metric): def __init__(self, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.threshold = threshold self.activation = Activation(activation) self.ignore_channels = ignore_channels d...
y_pr = self.activation(y_pr) return F.recall( y_pr, y_gt, eps=self.eps, threshold=self.threshold, ignore_channels=self.ignore_channels, )
y_pr = self.activation(y_pr) return F.recall( y_pr, y_gt, eps=self.eps, threshold=self.threshold, ignore_channels=self.ignore_channels, )
11
124
82
206
from . import base from . import functional as F from ..base.modules import Activation class IoU(base.Metric): __name__ = "iou_score" def __init__(self, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.threshold ...
from . import base from . import functional as F from ..base.modules import Activation class IoU(base.Metric): __name__ = "iou_score" def __init__(self, eps=1e-7, threshold=0.5, activation=None, ignore_channels=None, **kwargs): super().__init__(**kwargs) self.eps = eps self.threshold ...
23,486
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/utils/train.py
24,25
7,73
_format_logs
Epoch
25,29
25,29
class Epoch: def __init__(self, model, loss, metrics, stage_name, device="cpu", verbose=True): self.model = model self.loss = loss self.metrics = metrics self.stage_name = stage_name self.verbose = verbose self.device = device self._to_device() def _to_d...
class Epoch: def __init__(self, model, loss, metrics, stage_name, device="cpu", verbose=True): self.model = model self.loss = loss self.metrics = metrics self.stage_name = stage_name self.verbose = verbose self.device = device self._to_device() def _to_d...
str_logs = ["{} - {:.4}".format(k, v) for k, v in logs.items()] s = ", ".join(str_logs) return s
str_logs = ["{} - {:.4}".format(k, v) for k, v in logs.items()] s = ", ".join(str_logs) return s
17
593
53
646
import sys import torch from tqdm import tqdm as tqdm from .meter import AverageValueMeter class Epoch: def __init__(self, model, loss, metrics, stage_name, device="cpu", verbose=True): self.model = model self.loss = loss self.metrics = metrics self.stage_name = stage_name ...
import sys import torch from tqdm import tqdm as tqdm from .meter import AverageValueMeter class Epoch: def __init__(self, model, loss, metrics, stage_name, device="cpu", verbose=True): self.model = model self.loss = loss self.metrics = metrics self.stage_name = stage_name ...
23,487
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/utils/train.py
88,89
73,97
batch_update
TrainEpoch
89,97
89,97
class TrainEpoch(Epoch): def __init__(self, model, loss, metrics, optimizer, device="cpu", verbose=True): super().__init__( model=model, loss=loss, metrics=metrics, stage_name="train", device=device, verbose=verbose, ) s...
class TrainEpoch(Epoch): def __init__(self, model, loss, metrics, optimizer, device="cpu", verbose=True): super().__init__( model=model, loss=loss, metrics=metrics, stage_name="train", device=device, verbose=verbose, ) s...
self.optimizer.zero_grad() prediction = self.model.forward(x) loss = self.loss(prediction, y) loss.backward() self.optimizer.step() return loss, prediction
self.optimizer.zero_grad() prediction = self.model.forward(x) loss = self.loss(prediction, y) loss.backward() self.optimizer.step() return loss, prediction
13
142
68
210
import sys import torch from tqdm import tqdm as tqdm from .meter import AverageValueMeter class Epoch: def __init__(self, model, loss, metrics, stage_name, device="cpu", verbose=True): self.model = model self.loss = loss self.metrics = metrics self.stage_name = stage_name ...
import sys import torch from tqdm import tqdm as tqdm from .meter import AverageValueMeter class Epoch: def __init__(self, model, loss, metrics, stage_name, device="cpu", verbose=True): self.model = model self.loss = loss self.metrics = metrics self.stage_name = stage_name ...
23,488
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/segmentation_models_pytorch/utils/train.py
111,112
97,116
batch_update
ValidEpoch
112,116
112,116
class ValidEpoch(Epoch): def __init__(self, model, loss, metrics, device="cpu", verbose=True): super().__init__( model=model, loss=loss, metrics=metrics, stage_name="valid", device=device, verbose=verbose, ) def on_epoch_st...
class ValidEpoch(Epoch): def __init__(self, model, loss, metrics, device="cpu", verbose=True): super().__init__( model=model, loss=loss, metrics=metrics, stage_name="valid", device=device, verbose=verbose, ) def on_epoch_st...
with torch.no_grad(): prediction = self.model.forward(x) loss = self.loss(prediction, y) return loss, prediction
with torch.no_grad(): prediction = self.model.forward(x) loss = self.loss(prediction, y) return loss, prediction
12
130
45
175
import sys import torch from tqdm import tqdm as tqdm from .meter import AverageValueMeter class Epoch: def __init__(self, model, loss, metrics, stage_name, device="cpu", verbose=True): self.model = model self.loss = loss self.metrics = metrics self.stage_name = stage_name ...
import sys import torch from tqdm import tqdm as tqdm from .meter import AverageValueMeter class Epoch: def __init__(self, model, loss, metrics, stage_name, device="cpu", verbose=True): self.model = model self.loss = loss self.metrics = metrics self.stage_name = stage_name ...
23,489
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch
/home/hieuvd/dung_repo/raw/stars_01/qubvel_segmentation_models.pytorch/segmentation_models.pytorch/setup.py
83,84
66,104
run
UploadCommand
84,104
84,104
class UploadCommand(Command): """Support setup.py upload.""" description = "Build and publish the package." user_options = [] @staticmethod def status(s): """Prints things in bold.""" print(s) def initialize_options(self): pass def finalize_options(self): ...
class UploadCommand(Command): """Support setup.py upload.""" description = "Build and publish the package." user_options = [] @staticmethod def status(s): """Prints things in bold.""" print(s) def initialize_options(self): pass def finalize_options(self): ...
try: self.status("Removing previous builds...") rmtree(os.path.join(here, "dist")) except OSError: pass self.status("Building Source and Wheel (universal) distribution...") os.system("{0} setup.py sdist bdist_wheel --universal".format(sys.executable))...
try: self.status("Removing previous builds...") rmtree(os.path.join(here, "dist")) except OSError: pass self.status("Building Source and Wheel (universal) distribution...") os.system("{0} setup.py sdist bdist_wheel --universal".format(sys.executable))...
45
109
204
313
#!/usr/bin/env python # -*- coding: utf-8 -*- # Note: To use the 'upload' functionality of this file, you must: # $ pip install twine import io import os import sys from shutil import rmtree from setuptools import find_packages, setup, Command # Package meta-data. NAME = "segmentation_models_pytorch" DESCRIPTION ...
#!/usr/bin/env python # -*- coding: utf-8 -*- # Note: To use the 'upload' functionality of this file, you must: # $ pip install twine import io import os import sys from shutil import rmtree from setuptools import find_packages, setup, Command # Package meta-data. NAME = "segmentation_models_pytorch" DESCRIPTION ...
23,491
/home/hieuvd/dung_repo/raw/stars_01/ranaroussi_yfinance/yfinance
/home/hieuvd/dung_repo/raw/stars_01/ranaroussi_yfinance/yfinance/yfinance/scrapers/analysis.py
33,35
7,50
analyst_price_target
Analysis
35,39
35,39
class Analysis: def __init__(self, data: YfData, symbol: str, proxy=None): self._data = data self._symbol = symbol self.proxy = proxy self._earnings_trend = None self._analyst_trend_details = None self._analyst_price_target = None self._rev_est = None ...
class Analysis: def __init__(self, data: YfData, symbol: str, proxy=None): self._data = data self._symbol = symbol self.proxy = proxy self._earnings_trend = None self._analyst_trend_details = None self._analyst_price_target = None self._rev_est = None ...
if self._analyst_price_target is None: raise YFNotImplementedError('analyst_price_target') return self._analyst_price_target
if self._analyst_price_target is None: raise YFNotImplementedError('analyst_price_target') return self._analyst_price_target
8
403
51
454
import pandas as pd from yfinance.data import YfData from yfinance.exceptions import YFNotImplementedError class Analysis: def __init__(self, data: YfData, symbol: str, proxy=None): self._data = data self._symbol = symbol self.proxy = proxy self._earnings_trend = None se...
import pandas as pd from yfinance.data import YfData from yfinance.exceptions import YFNotImplementedError class Analysis: def __init__(self, data: YfData, symbol: str, proxy=None): self._data = data self._symbol = symbol self.proxy = proxy self._earnings_trend = None se...
23,492
/home/hieuvd/dung_repo/raw/stars_01/ranaroussi_yfinance/yfinance
/home/hieuvd/dung_repo/raw/stars_01/ranaroussi_yfinance/yfinance/yfinance/scrapers/fundamentals.py
105,106
44,150
get_financials_time_series
Financials
106,150
106,150
class Financials: def __init__(self, data: YfData, symbol: str): self._data = data self._symbol = symbol self._income_time_series = {} self._balance_sheet_time_series = {} self._cash_flow_time_series = {} def get_income_time_series(self, freq="yearly", proxy=None) -> pd....
class Financials: def __init__(self, data: YfData, symbol: str): self._data = data self._symbol = symbol self._income_time_series = {} self._balance_sheet_time_series = {} self._cash_flow_time_series = {} def get_income_time_series(self, freq="yearly", proxy=None) -> pd....
timescale_translation = {"yearly": "annual", "quarterly": "quarterly"} timescale = timescale_translation[timescale] # Step 2: construct url: ts_url_base = f"https://query2.finance.yahoo.com/ws/fundamentals-timeseries/v1/finance/timeseries/{self._symbol}?symbol={self._symbol}" ur...
timescale_translation = {"yearly": "annual", "quarterly": "quarterly"} timescale = timescale_translation[timescale] # Step 2: construct url: ts_url_base = f"https://query2.finance.yahoo.com/ws/fundamentals-timeseries/v1/finance/timeseries/{self._symbol}?symbol={self._symbol}" ur...
196
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import datetime import json import pandas as pd from yfinance import utils, const from yfinance.data import YfData from yfinance.exceptions import YFinanceException, YFNotImplementedError class Fundamentals: def __init__(self, data: YfData, symbol: str, proxy=None): self._data = data self._symb...
import datetime import json import pandas as pd from yfinance import utils, const from yfinance.data import YfData from yfinance.exceptions import YFinanceException, YFNotImplementedError class Fundamentals: def __init__(self, data: YfData, symbol: str, proxy=None): self._data = data self._symb...
23,493
/home/hieuvd/dung_repo/raw/stars_01/ranaroussi_yfinance/yfinance
/home/hieuvd/dung_repo/raw/stars_01/ranaroussi_yfinance/yfinance/yfinance/scrapers/fundamentals.py
27,29
11,44
financials
Fundamentals
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29,31
class Fundamentals: def __init__(self, data: YfData, symbol: str, proxy=None): self._data = data self._symbol = symbol self.proxy = proxy self._earnings = None self._financials = None self._shares = None self._financials_data = None self._fin_data_q...
class Fundamentals: def __init__(self, data: YfData, symbol: str, proxy=None): self._data = data self._symbol = symbol self.proxy = proxy self._earnings = None self._financials = None self._shares = None self._financials_data = None self._fin_data_q...
return self._financials
return self._financials
2
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import datetime import json import pandas as pd from yfinance import utils, const from yfinance.data import YfData from yfinance.exceptions import YFinanceException, YFNotImplementedError class Fundamentals: def __init__(self, data: YfData, symbol: str, proxy=None): self._data = data self._symb...
import datetime import json import pandas as pd from yfinance import utils, const from yfinance.data import YfData from yfinance.exceptions import YFinanceException, YFNotImplementedError class Fundamentals: def __init__(self, data: YfData, symbol: str, proxy=None): self._data = data self._symb...
23,496
/home/hieuvd/dung_repo/raw/stars_01/ranaroussi_yfinance/yfinance
/home/hieuvd/dung_repo/raw/stars_01/ranaroussi_yfinance/yfinance/yfinance/scrapers/quote.py
75,76
28,79
_keytransform
InfoDictWrapper
76,79
76,79
class InfoDictWrapper(MutableMapping): """ Simple wrapper around info dict, intercepting 'gets' to print how-to-migrate messages for specific keys. Requires override dict API""" def __init__(self, info): self.info = info def keys(self): return self.info.keys() def __str__(self...
class InfoDictWrapper(MutableMapping): """ Simple wrapper around info dict, intercepting 'gets' to print how-to-migrate messages for specific keys. Requires override dict API""" def __init__(self, info): self.info = info def keys(self): return self.info.keys() def __str__(self...
return k
return k
2
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import datetime import json import warnings from collections.abc import MutableMapping import numpy as _np import pandas as pd import requests from yfinance import utils from yfinance.data import YfData from yfinance.const import quote_summary_valid_modules, _BASE_URL_ from yfinance.exceptions import YFNotImplemented...
import datetime import json import warnings from collections.abc import MutableMapping import numpy as _np import pandas as pd import requests from yfinance import utils from yfinance.data import YfData from yfinance.const import quote_summary_valid_modules, _BASE_URL_ from yfinance.exceptions import YFNotImplemented...
23,499
/home/hieuvd/dung_repo/raw/stars_01/ranaroussi_yfinance/yfinance
/home/hieuvd/dung_repo/raw/stars_01/ranaroussi_yfinance/yfinance/yfinance/tickers.py
60,66
30,93
download
Tickers
66,91
66,91
class Tickers: def __repr__(self): return f"yfinance.Tickers object <{','.join(self.symbols)}>" def __init__(self, tickers, session=None): tickers = tickers if isinstance( tickers, list) else tickers.replace(',', ' ').split() self.symbols = [ticker.upper() for ticker in tic...
class Tickers: def __repr__(self): return f"yfinance.Tickers object <{','.join(self.symbols)}>" def __init__(self, tickers, session=None): tickers = tickers if isinstance( tickers, list) else tickers.replace(',', ' ').split() self.symbols = [ticker.upper() for ticker in tic...
data = multi.download(self.symbols, start=start, end=end, actions=actions, auto_adjust=auto_adjust, repair=repair, period=period, i...
data = multi.download(self.symbols, start=start, end=end, actions=actions, auto_adjust=auto_adjust, repair=repair, period=period, i...
38
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682
#!/usr/bin/env python # -*- coding: utf-8 -*- # # yfinance - market data downloader # https://github.com/ranaroussi/yfinance # # Copyright 2017-2019 Ran Aroussi # # 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 ...
#!/usr/bin/env python # -*- coding: utf-8 -*- # # yfinance - market data downloader # https://github.com/ranaroussi/yfinance # # Copyright 2017-2019 Ran Aroussi # # 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 ...
23,501
/home/hieuvd/dung_repo/raw/stars_01/ranaroussi_yfinance/yfinance
/home/hieuvd/dung_repo/raw/stars_01/ranaroussi_yfinance/yfinance/yfinance/utils.py
69,70
68,78
process
IndentLoggerAdapter
70,78
70,78
class IndentLoggerAdapter(logging.LoggerAdapter): def process(self, msg, kwargs): FILL_FUNC_BODY
class IndentLoggerAdapter(logging.LoggerAdapter): def process(self, msg, kwargs): FILL_FUNC_BODY
if get_yf_logger().isEnabledFor(logging.DEBUG): i = ' ' * self.extra['indent'] if not isinstance(msg, str): msg = str(msg) msg = '\n'.join([i + m for m in msg.split('\n')]) return msg, kwargs
if get_yf_logger().isEnabledFor(logging.DEBUG): i = ' ' * self.extra['indent'] if not isinstance(msg, str): msg = str(msg) msg = '\n'.join([i + m for m in msg.split('\n')]) return msg, kwargs
27
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#!/usr/bin/env python # -*- coding: utf-8 -*- # # yfinance - market data downloader # https://github.com/ranaroussi/yfinance # # Copyright 2017-2019 Ran Aroussi # # 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 ...
#!/usr/bin/env python # -*- coding: utf-8 -*- # # yfinance - market data downloader # https://github.com/ranaroussi/yfinance # # Copyright 2017-2019 Ran Aroussi # # 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 ...
23,502
/home/hieuvd/dung_repo/raw/stars_01/ranaroussi_yfinance/yfinance
/home/hieuvd/dung_repo/raw/stars_01/ranaroussi_yfinance/yfinance/yfinance/utils.py
121,122
111,139
format
MultiLineFormatter
122,139
122,139
class MultiLineFormatter(logging.Formatter): # The 'fmt' formatting further down is only applied to first line # of log message, specifically the padding after %level%. # For multi-line messages, need to manually copy over padding. def __init__(self, fmt): super().__init__(fmt) # Extract...
class MultiLineFormatter(logging.Formatter): # The 'fmt' formatting further down is only applied to first line # of log message, specifically the padding after %level%. # For multi-line messages, need to manually copy over padding. def __init__(self, fmt): super().__init__(fmt) # Extract...
original = super().format(record) lines = original.split('\n') levelname = lines[0].split(' ')[0] if len(lines) <= 1: return original else: # Apply padding to all lines below first formatted = [lines[0]] if self.level_length == 0: ...
original = super().format(record) lines = original.split('\n') levelname = lines[0].split(' ')[0] if len(lines) <= 1: return original else: # Apply padding to all lines below first formatted = [lines[0]] if self.level_length == 0: ...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # # yfinance - market data downloader # https://github.com/ranaroussi/yfinance # # Copyright 2017-2019 Ran Aroussi # # 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 ...
#!/usr/bin/env python # -*- coding: utf-8 -*- # # yfinance - market data downloader # https://github.com/ranaroussi/yfinance # # Copyright 2017-2019 Ran Aroussi # # 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 ...
23,503
/home/hieuvd/dung_repo/raw/stars_01/ranaroussi_yfinance/yfinance
/home/hieuvd/dung_repo/raw/stars_01/ranaroussi_yfinance/yfinance/yfinance/utils.py
876,877
847,893
update_iteration
ProgressBar
877,881
877,881
class ProgressBar: def __init__(self, iterations, text='completed'): self.text = text self.iterations = iterations self.prog_bar = '[]' self.fill_char = '*' self.width = 50 self.__update_amount(0) self.elapsed = 1 def completed(self): if self.elap...
class ProgressBar: def __init__(self, iterations, text='completed'): self.text = text self.iterations = iterations self.prog_bar = '[]' self.fill_char = '*' self.width = 50 self.__update_amount(0) self.elapsed = 1 def completed(self): if self.elap...
val = val if val is not None else self.elapsed / float(self.iterations) self.__update_amount(val * 100.0) self.prog_bar += f" {self.elapsed} of {self.iterations} {self.text}"
val = val if val is not None else self.elapsed / float(self.iterations) self.__update_amount(val * 100.0) self.prog_bar += f" {self.elapsed} of {self.iterations} {self.text}"
22
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#!/usr/bin/env python # -*- coding: utf-8 -*- # # yfinance - market data downloader # https://github.com/ranaroussi/yfinance # # Copyright 2017-2019 Ran Aroussi # # 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 ...
#!/usr/bin/env python # -*- coding: utf-8 -*- # # yfinance - market data downloader # https://github.com/ranaroussi/yfinance # # Copyright 2017-2019 Ran Aroussi # # 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 ...
23,663
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata/dev/zsh-completion.py
18,19
1,57
generate_completion
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19,48
#!/usr/bin/env python from __future__ import unicode_literals import os from os.path import dirname as dirn import sys import re sys.path.insert(0, dirn(dirn((os.path.abspath(__file__))))) from visidata import vd ZSH_COMPLETION_FILE = "_visidata" ZSH_COMPLETION_TEMPLATE = "dev/zsh-completion.in" pat_class = re.compi...
#!/usr/bin/env python from __future__ import unicode_literals import os from os.path import dirname as dirn import sys import re sys.path.insert(0, dirn(dirn((os.path.abspath(__file__))))) from visidata import vd ZSH_COMPLETION_FILE = "_visidata" ZSH_COMPLETION_TEMPLATE = "dev/zsh-completion.in" pat_class = re.compi...
prefix = "--" + opt.name shortnames = [ key for key, value in vd.option_aliases.items() if value[0] == opt.name ] if len(shortnames): if len(shortnames[0]) == 1: shortname = "-" + shortnames[0] else: shortname = "--" + shortnames[0] prefix = "{" + ...
prefix = "--" + opt.name shortnames = [ key for key, value in vd.option_aliases.items() if value[0] == opt.name ] if len(shortnames): if len(shortnames[0]) == 1: shortname = "-" + shortnames[0] else: shortname = "--" + shortnames[0] prefix = "{" + ...
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672
#!/usr/bin/env python from __future__ import unicode_literals import os from os.path import dirname as dirn import sys import re sys.path.insert(0, dirn(dirn((os.path.abspath(__file__))))) from visidata import vd ZSH_COMPLETION_FILE = "_visidata" ZSH_COMPLETION_TEMPLATE = "dev/zsh-completion.in" pat_class = re.compi...
#!/usr/bin/env python from __future__ import unicode_literals import os from os.path import dirname as dirn import sys import re sys.path.insert(0, dirn(dirn((os.path.abspath(__file__))))) from visidata import vd ZSH_COMPLETION_FILE = "_visidata" ZSH_COMPLETION_TEMPLATE = "dev/zsh-completion.in" pat_class = re.compi...
23,664
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata/snippets/geolocate.py
8,10
1,14
geolocate
10,14
10,14
'geolocate(ip): Fetch geolocation info by IP address from hostip.info service.' import urllib.request import functools import json @functools.lru_cache(10240) # should actually cache semi-permanently in visidata_dir def geolocate(ip): FILL_FUNC_BODY
'geolocate(ip): Fetch geolocation info by IP address from hostip.info service.' import urllib.request import functools import json @functools.lru_cache(10240) # should actually cache semi-permanently in visidata_dir def geolocate(ip): FILL_FUNC_BODY
url = 'http://api.hostip.info/get_json.php?position=true&ip=' + ip with urllib.request.urlopen(url) as fp: contents = fp.read().decode('utf-8').strip() return json.loads(contents)
url = 'http://api.hostip.info/get_json.php?position=true&ip=' + ip with urllib.request.urlopen(url) as fp: contents = fp.read().decode('utf-8').strip() return json.loads(contents)
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'geolocate(ip): Fetch geolocation info by IP address from hostip.info service.' import urllib.request import functools import json @functools.lru_cache(10240) # should actually cache semi-permanently in visidata_dir def geolocate(ip): FILL_FUNC_BODY
'geolocate(ip): Fetch geolocation info by IP address from hostip.info service.' import urllib.request import functools import json @functools.lru_cache(10240) # should actually cache semi-permanently in visidata_dir def geolocate(ip): FILL_FUNC_BODY
23,665
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata/visidata/bezier.py
11,12
1,64
_recursive_bezier
13,64
12,64
import math def bezier(x1, y1, x2, y2, x3, y3): 'Generate (x,y) coordinates on quadratic curve from (x1,y1) to (x3,y3) with control point at (x2,y2).' yield (x1, y1) yield from _recursive_bezier(x1, y1, x2, y2, x3, y3) yield (x3, y3) def _recursive_bezier(x1, y1, x2, y2, x3, y3, level=0): FILL_FUNC_...
import math def bezier(x1, y1, x2, y2, x3, y3): 'Generate (x,y) coordinates on quadratic curve from (x1,y1) to (x3,y3) with control point at (x2,y2).' yield (x1, y1) yield from _recursive_bezier(x1, y1, x2, y2, x3, y3) yield (x3, y3) def _recursive_bezier(x1, y1, x2, y2, x3, y3, level=0): 'from ...
m_approximation_scale = 10.0 m_distance_tolerance = (0.5 / m_approximation_scale) ** 2 m_angle_tolerance = 1 * 2*math.pi/360 # 15 degrees in rads curve_angle_tolerance_epsilon = 0.01 curve_recursion_limit = 32 curve_collinearity_epsilon = 1e-30 if level > curve_recursion_limit: ret...
'from http://www.antigrain.com/research/adaptive_bezier/' m_approximation_scale = 10.0 m_distance_tolerance = (0.5 / m_approximation_scale) ** 2 m_angle_tolerance = 1 * 2*math.pi/360 # 15 degrees in rads curve_angle_tolerance_epsilon = 0.01 curve_recursion_limit = 32 curve_collinearity_epsi...
242
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740
928
import math def bezier(x1, y1, x2, y2, x3, y3): 'Generate (x,y) coordinates on quadratic curve from (x1,y1) to (x3,y3) with control point at (x2,y2).' yield (x1, y1) yield from _recursive_bezier(x1, y1, x2, y2, x3, y3) yield (x3, y3) def _recursive_bezier(x1, y1, x2, y2, x3, y3, level=0): FILL_FUNC_...
import math def bezier(x1, y1, x2, y2, x3, y3): 'Generate (x,y) coordinates on quadratic curve from (x1,y1) to (x3,y3) with control point at (x2,y2).' yield (x1, y1) yield from _recursive_bezier(x1, y1, x2, y2, x3, y3) yield (x3, y3) def _recursive_bezier(x1, y1, x2, y2, x3, y3, level=0): 'from ...
23,666
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata/visidata/extensible.py
144,145
1,159
cache
146,155
145,155
from functools import wraps, lru_cache __all__ = ['Extensible', 'cache', 'drawcache', 'drawcache_property'] class Extensible: _cache_clearers = [] # list of func() to call in clearCaches() @classmethod def init(cls, membername, initfunc=lambda: None, copy=False): 'Prepend equivalent of ``self.<...
from functools import wraps, lru_cache __all__ = ['Extensible', 'cache', 'drawcache', 'drawcache_property'] class Extensible: _cache_clearers = [] # list of func() to call in clearCaches() @classmethod def init(cls, membername, initfunc=lambda: None, copy=False): 'Prepend equivalent of ``self.<...
@wraps(func) @lru_cache(maxsize=None) def call_if_not(self, *args, **kwargs): return func(self, *args, **kwargs) Extensible._cache_clearers.append(call_if_not.cache_clear) return call_if_not # @drawcache is vd alias for @cache, since vd clears it every frame
'Return func(...) on first access, and cache result; return cached result until clearCaches().' @wraps(func) @lru_cache(maxsize=None) def call_if_not(self, *args, **kwargs): return func(self, *args, **kwargs) Extensible._cache_clearers.append(call_if_not.cache_clear) return call_if_not ...
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1,565
115
1,680
from functools import wraps, lru_cache __all__ = ['Extensible', 'cache', 'drawcache', 'drawcache_property'] class Extensible: _cache_clearers = [] # list of func() to call in clearCaches() @classmethod def init(cls, membername, initfunc=lambda: None, copy=False): 'Prepend equivalent of ``self.<...
from functools import wraps, lru_cache __all__ = ['Extensible', 'cache', 'drawcache', 'drawcache_property'] class Extensible: _cache_clearers = [] # list of func() to call in clearCaches() @classmethod def init(cls, membername, initfunc=lambda: None, copy=False): 'Prepend equivalent of ``self.<...
23,667
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata/visidata/extensible.py
9,11
6,144
init
Extensible
12,37
11,37
class Extensible: _cache_clearers = [] # list of func() to call in clearCaches() @classmethod def init(cls, membername, initfunc=lambda: None, copy=False): FILL_FUNC_BODY @classmethod def superclasses(cls): yield cls yield from cls.__bases__ for b in cls.__bases__: ...
class Extensible: _cache_clearers = [] # list of func() to call in clearCaches() @classmethod def init(cls, membername, initfunc=lambda: None, copy=False): 'Prepend equivalent of ``self.<membername> = initfunc()`` to ``<cls>.__init__``. If *copy* is True, <membername> will be copied when object i...
def thisclass_hasattr(cls, k): return getattr(cls, k, None) is not getattr(cls.__bases__[0], k, None) # must check hasattr first or else this might be parent's __init__ oldinit = thisclass_hasattr(cls, '__init__') and getattr(cls, '__init__') def newinit(self, *args, **kwar...
'Prepend equivalent of ``self.<membername> = initfunc()`` to ``<cls>.__init__``. If *copy* is True, <membername> will be copied when object is copied.' def thisclass_hasattr(cls, k): return getattr(cls, k, None) is not getattr(cls.__bases__[0], k, None) # must check hasattr first ...
109
1,117
379
1,496
from functools import wraps, lru_cache __all__ = ['Extensible', 'cache', 'drawcache', 'drawcache_property'] class Extensible: _cache_clearers = [] # list of func() to call in clearCaches() @classmethod def init(cls, membername, initfunc=lambda: None, copy=False): FILL_FUNC_BODY @classmethod def ...
from functools import wraps, lru_cache __all__ = ['Extensible', 'cache', 'drawcache', 'drawcache_property'] class Extensible: _cache_clearers = [] # list of func() to call in clearCaches() @classmethod def init(cls, membername, initfunc=lambda: None, copy=False): 'Prepend equivalent of ``self.<...
23,668
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata/visidata/features/currency_to_usd.py
60,61
1,71
USD
61,70
61,70
'''Provide USD(s) function to convert string like '£300' or '205 AUD' to equivalent US$ as float. Uses data from api.apilayer.com/fixer. Requires an API key for apilayer.com. ''' from visidata import vd import functools import json vd.option('fixer_api_key', '', 'API Key for api.apilayer.com/fixer') vd.option('fixer_...
'''Provide USD(s) function to convert string like '£300' or '205 AUD' to equivalent US$ as float. Uses data from api.apilayer.com/fixer. Requires an API key for apilayer.com. ''' from visidata import vd import functools import json vd.option('fixer_api_key', '', 'API Key for api.apilayer.com/fixer') vd.option('fixer_...
for currency_symbol, currency_code in currency_symbols.items(): if currency_symbol in s: amt = float(s.replace(currency_symbol, '')) return amt*currency_multiplier(currency_code, 'USD') amtstr, currcode = s.split(' ') return float(amtstr) * currency_multiplier(currcode, 'USD...
for currency_symbol, currency_code in currency_symbols.items(): if currency_symbol in s: amt = float(s.replace(currency_symbol, '')) return amt*currency_multiplier(currency_code, 'USD') amtstr, currcode = s.split(' ') return float(amtstr) * currency_multiplier(currcode, 'USD...
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116
933
'''Provide USD(s) function to convert string like '£300' or '205 AUD' to equivalent US$ as float. Uses data from api.apilayer.com/fixer. Requires an API key for apilayer.com. ''' from visidata import vd import functools import json vd.option('fixer_api_key', '', 'API Key for api.apilayer.com/fixer') vd.option('fixer_...
'''Provide USD(s) function to convert string like '£300' or '205 AUD' to equivalent US$ as float. Uses data from api.apilayer.com/fixer. Requires an API key for apilayer.com. ''' from visidata import vd import functools import json vd.option('fixer_api_key', '', 'API Key for api.apilayer.com/fixer') vd.option('fixer_...
23,669
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata/visidata/features/status_source.py
6,8
1,21
getStatusSource
8,21
8,21
import inspect import visidata from visidata import VisiData @VisiData.api def getStatusSource(vd): FILL_FUNC_BODY
import inspect import visidata from visidata import VisiData @VisiData.api def getStatusSource(vd): FILL_FUNC_BODY
stack = inspect.stack() for i, sf in enumerate(stack): if sf.function in 'status aside'.split(): if stack[i+1].function in 'error fail warning debug'.split(): sf = stack[i+2] else: sf = stack[i+1] break fn = sf.filename if fn.s...
stack = inspect.stack() for i, sf in enumerate(stack): if sf.function in 'status aside'.split(): if stack[i+1].function in 'error fail warning debug'.split(): sf = stack[i+2] else: sf = stack[i+1] break fn = sf.filename if fn.s...
40
44
169
213
import inspect import visidata from visidata import VisiData @VisiData.api def getStatusSource(vd): FILL_FUNC_BODY
import inspect import visidata from visidata import VisiData @VisiData.api def getStatusSource(vd): FILL_FUNC_BODY
23,670
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata/visidata/features/term_extras.py
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ansi
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8,11
import os from visidata import VisiData @VisiData.api def ansi(*args): FILL_FUNC_BODY@VisiData.api def set_titlebar(vd, title:str): ansi(']2;', title, '\x07')
import os from visidata import VisiData @VisiData.api def ansi(*args): FILL_FUNC_BODY@VisiData.api def set_titlebar(vd, title:str): ansi(']2;', title, '\x07')
os.write(1, b'\x1b'+b''.join([str(x).encode('utf-8') for x in args]))
os.write(1, b'\x1b'+b''.join([str(x).encode('utf-8') for x in args]))
6
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115
import os from visidata import VisiData @VisiData.api def ansi(*args): FILL_FUNC_BODY@VisiData.api def set_titlebar(vd, title:str): ansi(']2;', title, '\x07')
import os from visidata import VisiData @VisiData.api def ansi(*args): FILL_FUNC_BODY@VisiData.api def set_titlebar(vd, title:str): ansi(']2;', title, '\x07')
23,671
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata/visidata/features/type_ipaddr.py
30,32
1,74
selectSupernets
37,54
32,54
""" Column types and utility commands related to IP addresses. """ from ipaddress import ip_address, ip_network, _BaseNetwork from visidata import vd from visidata.sheets import Column, TableSheet vd.addType(ip_address, icon=":", formatter=lambda fmt, ip: str(ip)) vd.addType(ip_network, icon="/", formatter=lambda fm...
""" Column types and utility commands related to IP addresses. """ from ipaddress import ip_address, ip_network, _BaseNetwork from visidata import vd from visidata.sheets import Column, TableSheet vd.addType(ip_address, icon=":", formatter=lambda fmt, ip: str(ip)) vd.addType(ip_network, icon="/", formatter=lambda fm...
if not ip: return sheet = col.sheet network = ip_network(ip.strip()) isNull = sheet.isNullFunc() vd.status(f'selecting rows where {col.name} is a supernet of "{str(network)}"') sheet.select( [ row for row in sheet.rows if isSupernet(col.getTy...
"""Select rows based on network containment Given an IP address (e.g. 10.0.0.0) or network (e.g. 10.0.0.0/8) as input, select rows whose network address space completely contains the input network. """ if not ip: return sheet = col.sheet network = ip_network(ip.strip()) isNull ...
35
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""" Column types and utility commands related to IP addresses. """ from ipaddress import ip_address, ip_network, _BaseNetwork from visidata import vd from visidata.sheets import Column, TableSheet vd.addType(ip_address, icon=":", formatter=lambda fmt, ip: str(ip)) vd.addType(ip_network, icon="/", formatter=lambda fm...
""" Column types and utility commands related to IP addresses. """ from ipaddress import ip_address, ip_network, _BaseNetwork from visidata import vd from visidata.sheets import Column, TableSheet vd.addType(ip_address, icon=":", formatter=lambda fmt, ip: str(ip)) vd.addType(ip_network, icon="/", formatter=lambda fm...
23,673
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata/visidata/hint.py
11,13
1,40
getHint
13,39
13,39
import collections from visidata import vd, BaseSheet @BaseSheet.lazy_property def prevHints(sheet): return collections.defaultdict(int) @BaseSheet.api def getHint(sheet, *args, **kwargs) -> str: FILL_FUNC_BODYvd.addCommand('', 'help-hint', 'status(getHint() or pressMenu("Help"))', 'get context-dependent hint ...
import collections from visidata import vd, BaseSheet @BaseSheet.lazy_property def prevHints(sheet): return collections.defaultdict(int) @BaseSheet.api def getHint(sheet, *args, **kwargs) -> str: FILL_FUNC_BODYvd.addCommand('', 'help-hint', 'status(getHint() or pressMenu("Help"))', 'get context-dependent hint ...
funcs = [getattr(sheet, x) for x in dir(sheet) if x.startswith('hint_')] results = [] hints = sheet.prevHints for f in funcs: try: r = f(*args, **kwargs) if r: if isinstance(r, dict): n = r.get('_relevance', 1) v = r...
funcs = [getattr(sheet, x) for x in dir(sheet) if x.startswith('hint_')] results = [] hints = sheet.prevHints for f in funcs: try: r = f(*args, **kwargs) if r: if isinstance(r, dict): n = r.get('_relevance', 1) v = r...
72
122
245
367
import collections from visidata import vd, BaseSheet @BaseSheet.lazy_property def prevHints(sheet): return collections.defaultdict(int) @BaseSheet.api def getHint(sheet, *args, **kwargs) -> str: FILL_FUNC_BODYvd.addCommand('', 'help-hint', 'status(getHint() or pressMenu("Help"))', 'get context-dependent hint ...
import collections from visidata import vd, BaseSheet @BaseSheet.lazy_property def prevHints(sheet): return collections.defaultdict(int) @BaseSheet.api def getHint(sheet, *args, **kwargs) -> str: FILL_FUNC_BODYvd.addCommand('', 'help-hint', 'status(getHint() or pressMenu("Help"))', 'get context-dependent hint ...
23,674
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata/visidata/keys.py
76,78
1,91
prettykeys
78,91
78,91
import string import visidata visidata.vd.prettykeys_trdict = { ' ': 'Space', # must be first '^[': 'Alt+', '^J': 'Enter', '^M': 'Enter', '^I': 'Tab', 'KEY_BTAB': 'Shift+Tab', '^@': 'Ctrl+Space', 'KEY_UP': 'Up', 'KEY_DOWN': 'Down', '...
import string import visidata visidata.vd.prettykeys_trdict = { ' ': 'Space', # must be first '^[': 'Alt+', '^J': 'Enter', '^M': 'Enter', '^I': 'Tab', 'KEY_BTAB': 'Shift+Tab', '^@': 'Ctrl+Space', 'KEY_UP': 'Up', 'KEY_DOWN': 'Down', '...
if not key or '+' in key[:-1]: return key for k, v in vd.prettykeys_trdict.items(): key = key.replace(k, v) # replace ^ with Ctrl but not if ^ is last char key = key[:-1].replace('^', 'Ctrl+')+key[-1] # 1497: allow Shift+ for Alt keys if key[-1] in string.ascii_uppercase and ('...
if not key or '+' in key[:-1]: return key for k, v in vd.prettykeys_trdict.items(): key = key.replace(k, v) # replace ^ with Ctrl but not if ^ is last char key = key[:-1].replace('^', 'Ctrl+')+key[-1] # 1497: allow Shift+ for Alt keys if key[-1] in string.ascii_uppercase and ('...
68
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import string import visidata visidata.vd.prettykeys_trdict = { ' ': 'Space', # must be first '^[': 'Alt+', '^J': 'Enter', '^M': 'Enter', '^I': 'Tab', 'KEY_BTAB': 'Shift+Tab', '^@': 'Ctrl+Space', 'KEY_UP': 'Up', 'KEY_DOWN': 'Down', '...
import string import visidata visidata.vd.prettykeys_trdict = { ' ': 'Space', # must be first '^[': 'Alt+', '^J': 'Enter', '^M': 'Enter', '^I': 'Tab', 'KEY_BTAB': 'Shift+Tab', '^@': 'Ctrl+Space', 'KEY_UP': 'Up', 'KEY_DOWN': 'Down', '...
23,675
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata/visidata/text_source.py
46,48
1,54
open_text_source
49,54
48,54
import re from visidata import vd, BaseSheet vd.option('regex_skip', '', 'regex of lines to skip in text sources', help='regex', replay=True) vd.option('regex_flags', 'I', 'flags to pass to re.compile() [AILMSUX]', replay=True) @BaseSheet.api def regex_flags(sheet): 'Return flags to pass to regex functions from ...
import re from visidata import vd, BaseSheet vd.option('regex_skip', '', 'regex of lines to skip in text sources', help='regex', replay=True) vd.option('regex_flags', 'I', 'flags to pass to re.compile() [AILMSUX]', replay=True) @BaseSheet.api def regex_flags(sheet): 'Return flags to pass to regex functions from ...
fp = sheet.source.open(encoding=sheet.options.encoding, encoding_errors=sheet.options.encoding_errors) regex_skip = sheet.options.regex_skip if regex_skip: return FilterFile(fp, regex_skip, sheet.regex_flags()) return fp
'Open sheet source as text, using sheet options for encoding and regex_skip.' fp = sheet.source.open(encoding=sheet.options.encoding, encoding_errors=sheet.options.encoding_errors) regex_skip = sheet.options.regex_skip if regex_skip: return FilterFile(fp, regex_skip, sheet.regex_flags()) ret...
15
405
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484
import re from visidata import vd, BaseSheet vd.option('regex_skip', '', 'regex of lines to skip in text sources', help='regex', replay=True) vd.option('regex_flags', 'I', 'flags to pass to re.compile() [AILMSUX]', replay=True) @BaseSheet.api def regex_flags(sheet): 'Return flags to pass to regex functions from ...
import re from visidata import vd, BaseSheet vd.option('regex_skip', '', 'regex of lines to skip in text sources', help='regex', replay=True) vd.option('regex_flags', 'I', 'flags to pass to re.compile() [AILMSUX]', replay=True) @BaseSheet.api def regex_flags(sheet): 'Return flags to pass to regex functions from ...
23,676
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata/visidata/text_source.py
20,21
14,46
readline
FilterFile
21,27
21,27
class FilterFile: def __init__(self, fp, regex:str, regex_flags:int=0): import re self._fp = fp self._regex_skip = re.compile(regex, regex_flags) def readline(self) -> str: FILL_FUNC_BODY def __getattr__(self, k): return getattr(self._fp, k) def __iter__(self): r...
class FilterFile: def __init__(self, fp, regex:str, regex_flags:int=0): import re self._fp = fp self._regex_skip = re.compile(regex, regex_flags) def readline(self) -> str: FILL_FUNC_BODY def __getattr__(self, k): return getattr(self._fp, k) def __iter__(self): r...
while True: line = self._fp.readline() if self._regex_skip.match(line): continue return line
while True: line = self._fp.readline() if self._regex_skip.match(line): continue return line
10
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import re from visidata import vd, BaseSheet vd.option('regex_skip', '', 'regex of lines to skip in text sources', help='regex', replay=True) vd.option('regex_flags', 'I', 'flags to pass to re.compile() [AILMSUX]', replay=True) @BaseSheet.api def regex_flags(sheet): 'Return flags to pass to regex functions from ...
import re from visidata import vd, BaseSheet vd.option('regex_skip', '', 'regex of lines to skip in text sources', help='regex', replay=True) vd.option('regex_flags', 'I', 'flags to pass to re.compile() [AILMSUX]', replay=True) @BaseSheet.api def regex_flags(sheet): 'Return flags to pass to regex functions from ...
23,677
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata/visidata/tuiwin.py
6,8
1,27
subwindow
9,14
8,14
from visidata import VisiData, vd, BaseSheet vd._parentscrs = {} # scr -> parentscr @VisiData.api def subwindow(vd, scr, x, y, w, h): FILL_FUNC_BODY@VisiData.api def getrootxy(vd, scr): # like scr.getparyx() but for all ancestor scrs px, py = 0, 0 while scr in vd._parentscrs: dy, dx = scr.getparyx(...
from visidata import VisiData, vd, BaseSheet vd._parentscrs = {} # scr -> parentscr @VisiData.api def subwindow(vd, scr, x, y, w, h): 'Return subwindow with its (0,0) at (x,y) relative to parent scr. Replacement for scr.derwin() to track parent scr.' FILL_FUNC_BODY@VisiData.api def getrootxy(vd, scr): # like ...
newscr = scr.derwin(h, w, y, x) vd._parentscrs[newscr] = scr return newscr
'Return subwindow with its (0,0) at (x,y) relative to parent scr. Replacement for scr.derwin() to track parent scr.' newscr = scr.derwin(h, w, y, x) vd._parentscrs[newscr] = scr return newscr
11
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from visidata import VisiData, vd, BaseSheet vd._parentscrs = {} # scr -> parentscr @VisiData.api def subwindow(vd, scr, x, y, w, h): FILL_FUNC_BODY@VisiData.api def getrootxy(vd, scr): # like scr.getparyx() but for all ancestor scrs px, py = 0, 0 while scr in vd._parentscrs: dy, dx = scr.getparyx(...
from visidata import VisiData, vd, BaseSheet vd._parentscrs = {} # scr -> parentscr @VisiData.api def subwindow(vd, scr, x, y, w, h): 'Return subwindow with its (0,0) at (x,y) relative to parent scr. Replacement for scr.derwin() to track parent scr.' FILL_FUNC_BODY@VisiData.api def getrootxy(vd, scr): # like ...
23,678
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata/visidata/vdobj.py
16,17
1,189
asyncthread
18,27
17,27
from functools import wraps import curses import visidata __all__ = ['ENTER', 'ALT', 'ESC', 'asyncthread', 'VisiData'] ENTER='Enter' ALT=ESC='^[' import threading # define @asyncthread for potentially long-running functions # when function is called, instead launches a thread def asyncthread(func): FILL_FUNC_BO...
from functools import wraps import curses import visidata __all__ = ['ENTER', 'ALT', 'ESC', 'asyncthread', 'VisiData'] ENTER='Enter' ALT=ESC='^[' import threading # define @asyncthread for potentially long-running functions # when function is called, instead launches a thread def asyncthread(func): 'Functio...
@wraps(func) def _execAsync(*args, **kwargs): if args and isinstance(args[0], visidata.BaseSheet): #1136: allow cancel of async methods on Sheet if 'sheet' not in kwargs: kwargs['sheet'] = args[0] return visidata.vd.execAsync(func, *args, **kwargs) return _execAs...
'Function decorator, to make calls to `func()` spawn a separate thread if available.' @wraps(func) def _execAsync(*args, **kwargs): if args and isinstance(args[0], visidata.BaseSheet): #1136: allow cancel of async methods on Sheet if 'sheet' not in kwargs: kwargs['sheet'...
31
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from functools import wraps import curses import visidata __all__ = ['ENTER', 'ALT', 'ESC', 'asyncthread', 'VisiData'] ENTER='Enter' ALT=ESC='^[' import threading # define @asyncthread for potentially long-running functions # when function is called, instead launches a thread def asyncthread(func): FILL_FUNC_BO...
from functools import wraps import curses import visidata __all__ = ['ENTER', 'ALT', 'ESC', 'asyncthread', 'VisiData'] ENTER='Enter' ALT=ESC='^[' import threading # define @asyncthread for potentially long-running functions # when function is called, instead launches a thread def asyncthread(func): 'Functio...
23,679
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata
/home/hieuvd/dung_repo/raw/stars_01/saulpw_visidata/visidata/visidata/vdobj.py
93,95
27,189
init
VisiData
96,103
95,103
class VisiData(visidata.Extensible): allPrefixes = ['g', 'z', 'gz', 'Alt+', 'Alt+['] # embig'g'en, 'z'mallify, Alt/Esc=User @classmethod def global_api(cls, func): 'Make global func() and identical vd.func()' def _vdfunc(*args, **kwargs): return getattr(visidata.vd, func.__name...
class VisiData(visidata.Extensible): allPrefixes = ['g', 'z', 'gz', 'Alt+', 'Alt+['] # embig'g'en, 'z'mallify, Alt/Esc=User @classmethod def global_api(cls, func): 'Make global func() and identical vd.func()' def _vdfunc(*args, **kwargs): return getattr(visidata.vd, func.__name...
oldinit = cls.finalInit def newinit(self, *args, **kwargs): oldinit(self, *args, **kwargs) setattr(self, membername, initfunc()) cls.finalInit = newinit super().init(membername, lambda: None, **kwargs)
'Overload Extensible.init() to call finalInit instead of __init__' oldinit = cls.finalInit def newinit(self, *args, **kwargs): oldinit(self, *args, **kwargs) setattr(self, membername, initfunc()) cls.finalInit = newinit super().init(membername, lambda: Non...
20
1,604
85
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from functools import wraps import curses import visidata __all__ = ['ENTER', 'ALT', 'ESC', 'asyncthread', 'VisiData'] ENTER='Enter' ALT=ESC='^[' import threading # define @asyncthread for potentially long-running functions # when function is called, instead launches a thread def asyncthread(func): 'Functio...
from functools import wraps import curses import visidata __all__ = ['ENTER', 'ALT', 'ESC', 'asyncthread', 'VisiData'] ENTER='Enter' ALT=ESC='^[' import threading # define @asyncthread for potentially long-running functions # when function is called, instead launches a thread def asyncthread(func): 'Functio...
23,771
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/answerers/random/answerer.py
29,30
1,79
random_int
30,33
30,33
# SPDX-License-Identifier: AGPL-3.0-or-later import hashlib import random import string import uuid from flask_babel import gettext # required answerer attribute # specifies which search query keywords triggers this answerer keywords = ('random',) random_int_max = 2**31 random_string_letters = string.ascii_lowercase...
# SPDX-License-Identifier: AGPL-3.0-or-later import hashlib import random import string import uuid from flask_babel import gettext # required answerer attribute # specifies which search query keywords triggers this answerer keywords = ('random',) random_int_max = 2**31 random_string_letters = string.ascii_lowercase...
return str(random.randint(-random_int_max, random_int_max))
return str(random.randint(-random_int_max, random_int_max))
3
555
27
582
# SPDX-License-Identifier: AGPL-3.0-or-later import hashlib import random import string import uuid from flask_babel import gettext # required answerer attribute # specifies which search query keywords triggers this answerer keywords = ('random',) random_int_max = 2**31 random_string_letters = string.ascii_lowercase...
# SPDX-License-Identifier: AGPL-3.0-or-later import hashlib import random import string import uuid from flask_babel import gettext # required answerer attribute # specifies which search query keywords triggers this answerer keywords = ('random',) random_int_max = 2**31 random_string_letters = string.ascii_lowercase...
23,772
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/answerers/statistics/answerer.py
13,14
1,52
answer
14,46
14,46
# SPDX-License-Identifier: AGPL-3.0-or-later from functools import reduce from operator import mul from flask_babel import gettext keywords = ('min', 'max', 'avg', 'sum', 'prod') # required answerer function # can return a list of results (any result type) for a given query def answer(query): FILL_FUNC_BODYdef sel...
# SPDX-License-Identifier: AGPL-3.0-or-later from functools import reduce from operator import mul from flask_babel import gettext keywords = ('min', 'max', 'avg', 'sum', 'prod') # required answerer function # can return a list of results (any result type) for a given query def answer(query): FILL_FUNC_BODYdef sel...
parts = query.query.split() if len(parts) < 2: return [] try: args = list(map(float, parts[1:])) except: return [] func = parts[0] answer = None if func == 'min': answer = min(args) elif func == 'max': answer = max(args) elif func == 'avg':...
parts = query.query.split() if len(parts) < 2: return [] try: args = list(map(float, parts[1:])) except: return [] func = parts[0] answer = None if func == 'min': answer = min(args) elif func == 'max': answer = max(args) elif func == 'avg':...
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# SPDX-License-Identifier: AGPL-3.0-or-later from functools import reduce from operator import mul from flask_babel import gettext keywords = ('min', 'max', 'avg', 'sum', 'prod') # required answerer function # can return a list of results (any result type) for a given query def answer(query): FILL_FUNC_BODYdef sel...
# SPDX-License-Identifier: AGPL-3.0-or-later from functools import reduce from operator import mul from flask_babel import gettext keywords = ('min', 'max', 'avg', 'sum', 'prod') # required answerer function # can return a list of results (any result type) for a given query def answer(query): FILL_FUNC_BODYdef sel...
23,774
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/babel_extract.py
30,37
1,51
extract
42,51
37,51
# SPDX-License-Identifier: AGPL-3.0-or-later """This module implements the :origin:`searxng_msg <babel.cfg>` extractor to extract messages from: - :origin:`searx/searxng.msg` The ``searxng.msg`` files are selected by Babel_, see Babel's configuration in :origin:`babel.cfg`:: searxng_msg = searx.babel_extract.ext...
# SPDX-License-Identifier: AGPL-3.0-or-later """This module implements the :origin:`searxng_msg <babel.cfg>` extractor to extract messages from: - :origin:`searx/searxng.msg` The ``searxng.msg`` files are selected by Babel_, see Babel's configuration in :origin:`babel.cfg`:: searxng_msg = searx.babel_extract.ext...
if fileobj.name not in _MSG_FILES: raise RuntimeError("don't know how to extract messages from %s" % fileobj.name) namespace = {} exec(fileobj.read(), {}, namespace) # pylint: disable=exec-used for name in namespace['__all__']: for k, v in namespace[name].items(): yield 0,...
"""Extract messages from ``searxng.msg`` files by a custom extractor_. .. _extractor: https://babel.pocoo.org/en/latest/messages.html#writing-extraction-methods """ if fileobj.name not in _MSG_FILES: raise RuntimeError("don't know how to extract messages from %s" % fileobj.name) nam...
42
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# SPDX-License-Identifier: AGPL-3.0-or-later """This module implements the :origin:`searxng_msg <babel.cfg>` extractor to extract messages from: - :origin:`searx/searxng.msg` The ``searxng.msg`` files are selected by Babel_, see Babel's configuration in :origin:`babel.cfg`:: searxng_msg = searx.babel_extract.ext...
# SPDX-License-Identifier: AGPL-3.0-or-later """This module implements the :origin:`searxng_msg <babel.cfg>` extractor to extract messages from: - :origin:`searx/searxng.msg` The ``searxng.msg`` files are selected by Babel_, see Babel's configuration in :origin:`babel.cfg`:: searxng_msg = searx.babel_extract.ext...
23,775
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/botdetection/_helpers.py
21,22
1,129
dump_request
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22,37
# SPDX-License-Identifier: AGPL-3.0-or-later # pylint: disable=missing-module-docstring, invalid-name from __future__ import annotations from ipaddress import ( IPv4Network, IPv6Network, IPv4Address, IPv6Address, ip_network, ) import flask import werkzeug from searx import logger from . import con...
# SPDX-License-Identifier: AGPL-3.0-or-later # pylint: disable=missing-module-docstring, invalid-name from __future__ import annotations from ipaddress import ( IPv4Network, IPv6Network, IPv4Address, IPv6Address, ip_network, ) import flask import werkzeug from searx import logger from . import con...
return ( request.path + " || X-Forwarded-For: %s" % request.headers.get('X-Forwarded-For') + " || X-Real-IP: %s" % request.headers.get('X-Real-IP') + " || form: %s" % request.form + " || Accept: %s" % request.headers.get('Accept') + " || Accept-Language: %s" % request...
return ( request.path + " || X-Forwarded-For: %s" % request.headers.get('X-Forwarded-For') + " || X-Real-IP: %s" % request.headers.get('X-Real-IP') + " || form: %s" % request.form + " || Accept: %s" % request.headers.get('Accept') + " || Accept-Language: %s" % request...
74
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# SPDX-License-Identifier: AGPL-3.0-or-later # pylint: disable=missing-module-docstring, invalid-name from __future__ import annotations from ipaddress import ( IPv4Network, IPv6Network, IPv4Address, IPv6Address, ip_network, ) import flask import werkzeug from searx import logger from . import con...
# SPDX-License-Identifier: AGPL-3.0-or-later # pylint: disable=missing-module-docstring, invalid-name from __future__ import annotations from ipaddress import ( IPv4Network, IPv6Network, IPv4Address, IPv6Address, ip_network, ) import flask import werkzeug from searx import logger from . import con...
23,777
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/botdetection/config.py
151,152
64,185
_get_parent_dict
Config
152,161
152,161
class Config: """Base class used for configuration""" UNSET = UNSET @classmethod def from_toml(cls, schema_file: pathlib.Path, cfg_file: pathlib.Path, deprecated: dict) -> Config: # init schema log.debug("load schema file: %s", schema_file) cfg = cls(cfg_schema=toml_load(sche...
class Config: """Base class used for configuration""" UNSET = UNSET @classmethod def from_toml(cls, schema_file: pathlib.Path, cfg_file: pathlib.Path, deprecated: dict) -> Config: # init schema log.debug("load schema file: %s", schema_file) cfg = cls(cfg_schema=toml_load(sche...
parent_name = '.'.join(name.split('.')[:-1]) if parent_name: parent = value(parent_name, self.cfg) else: parent = self.cfg if (parent is UNSET) or (not isinstance(parent, dict)): raise KeyError(parent_name) return parent
parent_name = '.'.join(name.split('.')[:-1]) if parent_name: parent = value(parent_name, self.cfg) else: parent = self.cfg if (parent is UNSET) or (not isinstance(parent, dict)): raise KeyError(parent_name) return parent
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# SPDX-License-Identifier: AGPL-3.0-or-later """Configuration class :py:class:`Config` with deep-update, schema validation and deprecated names. The :py:class:`Config` class implements a configuration that is based on structured dictionaries. The configuration schema is defined in a dictionary structure and the confi...
# SPDX-License-Identifier: AGPL-3.0-or-later """Configuration class :py:class:`Config` with deep-update, schema validation and deprecated names. The :py:class:`Config` class implements a configuration that is based on structured dictionaries. The configuration schema is defined in a dictionary structure and the confi...
23,778
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/botdetection/http_accept.py
30,35
1,39
filter_request
35,39
35,39
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_accept`` ---------------------- The ``http_accept`` method evaluates a request as the request of a bot if the Accept_ header .. - did not contain ``text/html`` .. _Accept: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Accept """ # pylint:...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_accept`` ---------------------- The ``http_accept`` method evaluates a request as the request of a bot if the Accept_ header .. - did not contain ``text/html`` .. _Accept: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Accept """ # pylint:...
if 'text/html' not in request.accept_mimetypes: return too_many_requests(network, "HTTP header Accept did not contain text/html") return None
if 'text/html' not in request.accept_mimetypes: return too_many_requests(network, "HTTP header Accept did not contain text/html") return None
16
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# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_accept`` ---------------------- The ``http_accept`` method evaluates a request as the request of a bot if the Accept_ header .. - did not contain ``text/html`` .. _Accept: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Accept """ # pylint:...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_accept`` ---------------------- The ``http_accept`` method evaluates a request as the request of a bot if the Accept_ header .. - did not contain ``text/html`` .. _Accept: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Accept """ # pylint:...
23,779
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/botdetection/http_accept_encoding.py
31,36
1,41
filter_request
36,41
36,41
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_accept_encoding`` ------------------------------- The ``http_accept_encoding`` method evaluates a request as the request of a bot if the Accept-Encoding_ header .. - did not contain ``gzip`` AND ``deflate`` (if both values are missed) - did not contain ``...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_accept_encoding`` ------------------------------- The ``http_accept_encoding`` method evaluates a request as the request of a bot if the Accept-Encoding_ header .. - did not contain ``gzip`` AND ``deflate`` (if both values are missed) - did not contain ``...
accept_list = [l.strip() for l in request.headers.get('Accept-Encoding', '').split(',')] if not ('gzip' in accept_list or 'deflate' in accept_list): return too_many_requests(network, "HTTP header Accept-Encoding did not contain gzip nor deflate") return None
accept_list = [l.strip() for l in request.headers.get('Accept-Encoding', '').split(',')] if not ('gzip' in accept_list or 'deflate' in accept_list): return too_many_requests(network, "HTTP header Accept-Encoding did not contain gzip nor deflate") return None
30
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# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_accept_encoding`` ------------------------------- The ``http_accept_encoding`` method evaluates a request as the request of a bot if the Accept-Encoding_ header .. - did not contain ``gzip`` AND ``deflate`` (if both values are missed) - did not contain ``...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_accept_encoding`` ------------------------------- The ``http_accept_encoding`` method evaluates a request as the request of a bot if the Accept-Encoding_ header .. - did not contain ``gzip`` AND ``deflate`` (if both values are missed) - did not contain ``...
23,780
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/botdetection/http_accept_language.py
27,32
1,35
filter_request
32,35
32,35
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_accept_language`` ------------------------------- The ``http_accept_language`` method evaluates a request as the request of a bot if the Accept-Language_ header is unset. .. _Accept-Language: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Us...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_accept_language`` ------------------------------- The ``http_accept_language`` method evaluates a request as the request of a bot if the Accept-Language_ header is unset. .. _Accept-Language: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Us...
if request.headers.get('Accept-Language', '').strip() == '': return too_many_requests(network, "missing HTTP header Accept-Language") return None
if request.headers.get('Accept-Language', '').strip() == '': return too_many_requests(network, "missing HTTP header Accept-Language") return None
13
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# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_accept_language`` ------------------------------- The ``http_accept_language`` method evaluates a request as the request of a bot if the Accept-Language_ header is unset. .. _Accept-Language: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Us...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_accept_language`` ------------------------------- The ``http_accept_language`` method evaluates a request as the request of a bot if the Accept-Language_ header is unset. .. _Accept-Language: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Us...
23,781
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/botdetection/http_connection.py
28,33
1,37
filter_request
33,37
33,37
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_connection`` -------------------------- The ``http_connection`` method evaluates a request as the request of a bot if the Connection_ header is set to ``close``. .. _Connection: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Connection """ ...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_connection`` -------------------------- The ``http_connection`` method evaluates a request as the request of a bot if the Connection_ header is set to ``close``. .. _Connection: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Connection """ ...
if request.headers.get('Connection', '').strip() == 'close': return too_many_requests(network, "HTTP header 'Connection=close") return None
if request.headers.get('Connection', '').strip() == 'close': return too_many_requests(network, "HTTP header 'Connection=close") return None
12
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# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_connection`` -------------------------- The ``http_connection`` method evaluates a request as the request of a bot if the Connection_ header is set to ``close``. .. _Connection: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Connection """ ...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_connection`` -------------------------- The ``http_connection`` method evaluates a request as the request of a bot if the Connection_ header is set to ``close``. .. _Connection: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Connection """ ...
23,782
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/botdetection/http_user_agent.py
50,51
1,67
regexp_user_agent
51,57
51,57
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_user_agent`` -------------------------- The ``http_user_agent`` method evaluates a request as the request of a bot if the User-Agent_ header is unset or matches the regular expression :py:obj:`USER_AGENT`. .. _User-Agent: https://developer.mozilla.org/...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_user_agent`` -------------------------- The ``http_user_agent`` method evaluates a request as the request of a bot if the User-Agent_ header is unset or matches the regular expression :py:obj:`USER_AGENT`. .. _User-Agent: https://developer.mozilla.org/...
global _regexp # pylint: disable=global-statement if not _regexp: _regexp = re.compile(USER_AGENT) return _regexp
global _regexp # pylint: disable=global-statement if not _regexp: _regexp = re.compile(USER_AGENT) return _regexp
13
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# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_user_agent`` -------------------------- The ``http_user_agent`` method evaluates a request as the request of a bot if the User-Agent_ header is unset or matches the regular expression :py:obj:`USER_AGENT`. .. _User-Agent: https://developer.mozilla.org/...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``http_user_agent`` -------------------------- The ``http_user_agent`` method evaluates a request as the request of a bot if the User-Agent_ header is unset or matches the regular expression :py:obj:`USER_AGENT`. .. _User-Agent: https://developer.mozilla.org/...
23,783
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/botdetection/ip_limit.py
92,97
1,147
filter_request
97,147
97,147
# SPDX-License-Identifier: AGPL-3.0-or-later """.. _botdetection.ip_limit: Method ``ip_limit`` ------------------- The ``ip_limit`` method counts request from an IP in *sliding windows*. If there are to many requests in a sliding window, the request is evaluated as a bot request. This method requires a redis DB and...
# SPDX-License-Identifier: AGPL-3.0-or-later """.. _botdetection.ip_limit: Method ``ip_limit`` ------------------- The ``ip_limit`` method counts request from an IP in *sliding windows*. If there are to many requests in a sliding window, the request is evaluated as a bot request. This method requires a redis DB and...
# pylint: disable=too-many-return-statements redis_client = redisdb.client() if network.is_link_local and not cfg['botdetection.ip_limit.filter_link_local']: logger.debug("network %s is link-local -> not monitored by ip_limit method", network.compressed) return None if request.args.ge...
# pylint: disable=too-many-return-statements redis_client = redisdb.client() if network.is_link_local and not cfg['botdetection.ip_limit.filter_link_local']: logger.debug("network %s is link-local -> not monitored by ip_limit method", network.compressed) return None if request.args.ge...
207
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# SPDX-License-Identifier: AGPL-3.0-or-later """.. _botdetection.ip_limit: Method ``ip_limit`` ------------------- The ``ip_limit`` method counts request from an IP in *sliding windows*. If there are to many requests in a sliding window, the request is evaluated as a bot request. This method requires a redis DB and...
# SPDX-License-Identifier: AGPL-3.0-or-later """.. _botdetection.ip_limit: Method ``ip_limit`` ------------------- The ``ip_limit`` method counts request from an IP in *sliding windows*. If there are to many requests in a sliding window, the request is evaluated as a bot request. This method requires a redis DB and...
23,784
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/botdetection/ip_lists.py
48,49
1,85
pass_ip
52,61
49,61
# SPDX-License-Identifier: AGPL-3.0-or-later """.. _botdetection.ip_lists: Method ``ip_lists`` ------------------- The ``ip_lists`` method implements IP :py:obj:`block- <block_ip>` and :py:obj:`pass-lists <pass_ip>`. .. code:: toml [botdetection.ip_lists] pass_ip = [ '167.235.158.251', # IPv4 of check.se...
# SPDX-License-Identifier: AGPL-3.0-or-later """.. _botdetection.ip_lists: Method ``ip_lists`` ------------------- The ``ip_lists`` method implements IP :py:obj:`block- <block_ip>` and :py:obj:`pass-lists <pass_ip>`. .. code:: toml [botdetection.ip_lists] pass_ip = [ '167.235.158.251', # IPv4 of check.se...
if cfg.get('botdetection.ip_lists.pass_searxng_org', default=True): for net in SEARXNG_ORG: net = ip_network(net, strict=False) if real_ip.version == net.version and real_ip in net: return True, f"IP matches {net.compressed} in SEARXNG_ORG list." return ip_is_sub...
"""Checks if the IP on the subnet is in one of the members of the ``botdetection.ip_lists.pass_ip`` list. """ if cfg.get('botdetection.ip_lists.pass_searxng_org', default=True): for net in SEARXNG_ORG: net = ip_network(net, strict=False) if real_ip.version == net.version...
31
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# SPDX-License-Identifier: AGPL-3.0-or-later """.. _botdetection.ip_lists: Method ``ip_lists`` ------------------- The ``ip_lists`` method implements IP :py:obj:`block- <block_ip>` and :py:obj:`pass-lists <pass_ip>`. .. code:: toml [botdetection.ip_lists] pass_ip = [ '167.235.158.251', # IPv4 of check.se...
# SPDX-License-Identifier: AGPL-3.0-or-later """.. _botdetection.ip_lists: Method ``ip_lists`` ------------------- The ``ip_lists`` method implements IP :py:obj:`block- <block_ip>` and :py:obj:`pass-lists <pass_ip>`. .. code:: toml [botdetection.ip_lists] pass_ip = [ '167.235.158.251', # IPv4 of check.se...
23,785
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/botdetection/link_token.py
72,73
1,155
is_suspicious
79,95
73,95
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``link_token`` --------------------- The ``link_token`` method evaluates a request as :py:obj:`suspicious <is_suspicious>` if the URL ``/client<token>.css`` is not requested by the client. By adding a random component (the token) in the URL, a bot can not send a...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``link_token`` --------------------- The ``link_token`` method evaluates a request as :py:obj:`suspicious <is_suspicious>` if the URL ``/client<token>.css`` is not requested by the client. By adding a random component (the token) in the URL, a bot can not send a...
redis_client = redisdb.client() if not redis_client: return False ping_key = get_ping_key(network, request) if not redis_client.get(ping_key): logger.info("missing ping (IP: %s) / request: %s", network.compressed, ping_key) return True if renew: redis_client.set(pin...
"""Checks whether a valid ping is exists for this (client) network, if not this request is rated as *suspicious*. If a valid ping exists and argument ``renew`` is ``True`` the expire time of this ping is reset to :py:obj:`PING_LIVE_TIME`. """ redis_client = redisdb.client() if not redis_cl...
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# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``link_token`` --------------------- The ``link_token`` method evaluates a request as :py:obj:`suspicious <is_suspicious>` if the URL ``/client<token>.css`` is not requested by the client. By adding a random component (the token) in the URL, a bot can not send a...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Method ``link_token`` --------------------- The ``link_token`` method evaluates a request as :py:obj:`suspicious <is_suspicious>` if the URL ``/client<token>.css`` is not requested by the client. By adding a random component (the token) in the URL, a bot can not send a...
23,786
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/enginelib/traits.py
119,120
36,193
is_locale_supported
EngineTraits
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120,132
@dataclasses.dataclass class EngineTraits: """The class is intended to be instantiated for each engine.""" regions: Dict[str, str] = dataclasses.field(default_factory=dict) """Maps SearXNG's internal representation of a region to the one of the engine. SearXNG's internal representation can be parsed b...
@dataclasses.dataclass class EngineTraits: """The class is intended to be instantiated for each engine.""" regions: Dict[str, str] = dataclasses.field(default_factory=dict) """Maps SearXNG's internal representation of a region to the one of the engine. SearXNG's internal representation can be parsed b...
if self.data_type == 'traits_v1': return bool(self.get_region(searxng_locale) or self.get_language(searxng_locale)) raise TypeError('engine traits of type %s is unknown' % self.data_type)
"""A *locale* (SearXNG's internal representation) is considered to be supported by the engine if the *region* or the *language* is supported by the engine. For verification the functions :py:func:`EngineTraits.get_region` and :py:func:`EngineTraits.get_language` are used. ...
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# SPDX-License-Identifier: AGPL-3.0-or-later """Engine's traits are fetched from the origin engines and stored in a JSON file in the *data folder*. Most often traits are languages and region codes and their mapping from SearXNG's representation to the representation in the origin search engine. For new traits new pro...
# SPDX-License-Identifier: AGPL-3.0-or-later """Engine's traits are fetched from the origin engines and stored in a JSON file in the *data folder*. Most often traits are languages and region codes and their mapping from SearXNG's representation to the representation in the origin search engine. For new traits new pro...
23,787
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/enginelib/traits.py
29,30
25,36
default
EngineTraitsEncoder
31,36
30,36
class EngineTraitsEncoder(json.JSONEncoder): """Encodes :class:`EngineTraits` to a serializable object, see :class:`json.JSONEncoder`.""" def default(self, o): FILL_FUNC_BODY
class EngineTraitsEncoder(json.JSONEncoder): """Encodes :class:`EngineTraits` to a serializable object, see :class:`json.JSONEncoder`.""" def default(self, o): """Return dictionary of a :class:`EngineTraits` object.""" FILL_FUNC_BODY
if isinstance(o, EngineTraits): return o.__dict__ return super().default(o)
"""Return dictionary of a :class:`EngineTraits` object.""" if isinstance(o, EngineTraits): return o.__dict__ return super().default(o)
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# SPDX-License-Identifier: AGPL-3.0-or-later """Engine's traits are fetched from the origin engines and stored in a JSON file in the *data folder*. Most often traits are languages and region codes and their mapping from SearXNG's representation to the representation in the origin search engine. For new traits new pro...
# SPDX-License-Identifier: AGPL-3.0-or-later """Engine's traits are fetched from the origin engines and stored in a JSON file in the *data folder*. Most often traits are languages and region codes and their mapping from SearXNG's representation to the representation in the origin search engine. For new traits new pro...
23,788
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/enginelib/traits.py
231,232
193,251
set_traits
EngineTraitsMap
236,251
232,251
class EngineTraitsMap(Dict[str, EngineTraits]): """A python dictionary to map :class:`EngineTraits` by engine name.""" ENGINE_TRAITS_FILE = (data_dir / 'engine_traits.json').resolve() """File with persistence of the :py:obj:`EngineTraitsMap`.""" def save_data(self): """Store EngineTraitsMap in...
class EngineTraitsMap(Dict[str, EngineTraits]): """A python dictionary to map :class:`EngineTraits` by engine name.""" ENGINE_TRAITS_FILE = (data_dir / 'engine_traits.json').resolve() """File with persistence of the :py:obj:`EngineTraitsMap`.""" def save_data(self): """Store EngineTraitsMap in...
engine_traits = EngineTraits(data_type='traits_v1') if engine.name in self.keys(): engine_traits = self[engine.name] elif engine.engine in self.keys(): # The key of the dictionary traits_map is the *engine name* # configured in settings.xml. When multiple e...
"""Set traits in a :py:obj:`Engine` namespace. :param engine: engine instance build by :py:func:`searx.engines.load_engine` """ engine_traits = EngineTraits(data_type='traits_v1') if engine.name in self.keys(): engine_traits = self[engine.name] elif engine....
72
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# SPDX-License-Identifier: AGPL-3.0-or-later """Engine's traits are fetched from the origin engines and stored in a JSON file in the *data folder*. Most often traits are languages and region codes and their mapping from SearXNG's representation to the representation in the origin search engine. For new traits new pro...
# SPDX-License-Identifier: AGPL-3.0-or-later """Engine's traits are fetched from the origin engines and stored in a JSON file in the *data folder*. Most often traits are languages and region codes and their mapping from SearXNG's representation to the representation in the origin search engine. For new traits new pro...
23,789
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/1337x.py
33,34
1,59
response
34,59
34,59
# SPDX-License-Identifier: AGPL-3.0-or-later # pylint: disable=invalid-name """1337x """ from urllib.parse import quote, urljoin from lxml import html from searx.utils import extract_text, get_torrent_size, eval_xpath, eval_xpath_list, eval_xpath_getindex # about about = { "website": 'https://1337x.to/', "wi...
# SPDX-License-Identifier: AGPL-3.0-or-later # pylint: disable=invalid-name """1337x """ from urllib.parse import quote, urljoin from lxml import html from searx.utils import extract_text, get_torrent_size, eval_xpath, eval_xpath_list, eval_xpath_getindex # about about = { "website": 'https://1337x.to/', "wi...
results = [] dom = html.fromstring(resp.text) for result in eval_xpath_list(dom, '//table[contains(@class, "table-list")]/tbody//tr'): href = urljoin(url, eval_xpath_getindex(result, './td[contains(@class, "name")]/a[2]/@href', 0)) title = extract_text(eval_xpath(result, './td[contains(@cl...
results = [] dom = html.fromstring(resp.text) for result in eval_xpath_list(dom, '//table[contains(@class, "table-list")]/tbody//tr'): href = urljoin(url, eval_xpath_getindex(result, './td[contains(@class, "name")]/a[2]/@href', 0)) title = extract_text(eval_xpath(result, './td[contains(@cl...
65
306
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# SPDX-License-Identifier: AGPL-3.0-or-later # pylint: disable=invalid-name """1337x """ from urllib.parse import quote, urljoin from lxml import html from searx.utils import extract_text, get_torrent_size, eval_xpath, eval_xpath_list, eval_xpath_getindex # about about = { "website": 'https://1337x.to/', "wi...
# SPDX-License-Identifier: AGPL-3.0-or-later # pylint: disable=invalid-name """1337x """ from urllib.parse import quote, urljoin from lxml import html from searx.utils import extract_text, get_torrent_size, eval_xpath, eval_xpath_list, eval_xpath_getindex # about about = { "website": 'https://1337x.to/', "wi...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/9gag.py
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# SPDX-License-Identifier: AGPL-3.0-or-later # pylint: disable=invalid-name """9GAG (social media)""" from json import loads from datetime import datetime from urllib.parse import urlencode about = { "website": 'https://9gag.com/', "wikidata_id": 'Q277421', "official_api_documentation": None, "use_off...
# SPDX-License-Identifier: AGPL-3.0-or-later # pylint: disable=invalid-name """9GAG (social media)""" from json import loads from datetime import datetime from urllib.parse import urlencode about = { "website": 'https://9gag.com/', "wikidata_id": 'Q277421', "official_api_documentation": None, "use_off...
results = [] json_results = loads(resp.text)['data'] for result in json_results['posts']: result_type = result['type'] # Get the not cropped version of the thumbnail when the image height is not too important if result['images']['image700']['height'] > 400: thumbnail =...
results = [] json_results = loads(resp.text)['data'] for result in json_results['posts']: result_type = result['type'] # Get the not cropped version of the thumbnail when the image height is not too important if result['images']['image700']['height'] > 400: thumbnail =...
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# SPDX-License-Identifier: AGPL-3.0-or-later # pylint: disable=invalid-name """9GAG (social media)""" from json import loads from datetime import datetime from urllib.parse import urlencode about = { "website": 'https://9gag.com/', "wikidata_id": 'Q277421', "official_api_documentation": None, "use_off...
# SPDX-License-Identifier: AGPL-3.0-or-later # pylint: disable=invalid-name """9GAG (social media)""" from json import loads from datetime import datetime from urllib.parse import urlencode about = { "website": 'https://9gag.com/', "wikidata_id": 'Q277421', "official_api_documentation": None, "use_off...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/ahmia.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """ Ahmia (Onions) """ from urllib.parse import urlencode, urlparse, parse_qs from lxml.html import fromstring from searx.engines.xpath import extract_url, extract_text, eval_xpath_list, eval_xpath # about about = { "website": 'http://juhanurmihxlp77nkq76byazcldy2hlmo...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Ahmia (Onions) """ from urllib.parse import urlencode, urlparse, parse_qs from lxml.html import fromstring from searx.engines.xpath import extract_url, extract_text, eval_xpath_list, eval_xpath # about about = { "website": 'http://juhanurmihxlp77nkq76byazcldy2hlmo...
results = [] dom = fromstring(resp.text) # trim results so there's not way too many at once first_result_index = page_size * (resp.search_params.get('pageno', 1) - 1) all_results = eval_xpath_list(dom, results_xpath) trimmed_results = all_results[first_result_index : first_result_index + page_s...
results = [] dom = fromstring(resp.text) # trim results so there's not way too many at once first_result_index = page_size * (resp.search_params.get('pageno', 1) - 1) all_results = eval_xpath_list(dom, results_xpath) trimmed_results = all_results[first_result_index : first_result_index + page_s...
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# SPDX-License-Identifier: AGPL-3.0-or-later """ Ahmia (Onions) """ from urllib.parse import urlencode, urlparse, parse_qs from lxml.html import fromstring from searx.engines.xpath import extract_url, extract_text, eval_xpath_list, eval_xpath # about about = { "website": 'http://juhanurmihxlp77nkq76byazcldy2hlmo...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Ahmia (Onions) """ from urllib.parse import urlencode, urlparse, parse_qs from lxml.html import fromstring from searx.engines.xpath import extract_url, extract_text, eval_xpath_list, eval_xpath # about about = { "website": 'http://juhanurmihxlp77nkq76byazcldy2hlmo...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/apple_app_store.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """Apple App Store """ from json import loads from urllib.parse import urlencode from dateutil.parser import parse about = { "website": 'https://www.apple.com/app-store/', "wikidata_id": 'Q368215', "official_api_documentation": ( 'https://developer.app...
# SPDX-License-Identifier: AGPL-3.0-or-later """Apple App Store """ from json import loads from urllib.parse import urlencode from dateutil.parser import parse about = { "website": 'https://www.apple.com/app-store/', "wikidata_id": 'Q368215', "official_api_documentation": ( 'https://developer.app...
results = [] json_result = loads(resp.text) for result in json_result['results']: results.append( { 'url': result['trackViewUrl'], 'title': result['trackName'], 'content': result['description'], 'img_src': result['artworkU...
results = [] json_result = loads(resp.text) for result in json_result['results']: results.append( { 'url': result['trackViewUrl'], 'title': result['trackName'], 'content': result['description'], 'img_src': result['artworkU...
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# SPDX-License-Identifier: AGPL-3.0-or-later """Apple App Store """ from json import loads from urllib.parse import urlencode from dateutil.parser import parse about = { "website": 'https://www.apple.com/app-store/', "wikidata_id": 'Q368215', "official_api_documentation": ( 'https://developer.app...
# SPDX-License-Identifier: AGPL-3.0-or-later """Apple App Store """ from json import loads from urllib.parse import urlencode from dateutil.parser import parse about = { "website": 'https://www.apple.com/app-store/', "wikidata_id": 'Q368215', "official_api_documentation": ( 'https://developer.app...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/apple_maps.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """Apple Maps""" from json import loads from time import time from urllib.parse import urlencode from searx.network import get as http_get from searx.engines.openstreetmap import get_key_label about = { "website": 'https://www.apple.com/maps/', "wikidata_id": 'Q27...
# SPDX-License-Identifier: AGPL-3.0-or-later """Apple Maps""" from json import loads from time import time from urllib.parse import urlencode from searx.network import get as http_get from searx.engines.openstreetmap import get_key_label about = { "website": 'https://www.apple.com/maps/', "wikidata_id": 'Q27...
results = [] resp_json = loads(resp.text) user_language = resp.search_params['language'] for result in resp_json['results']: boundingbox = None if 'displayMapRegion' in result: box = result['displayMapRegion'] boundingbox = [box['southLat'], box['northLat'], bo...
results = [] resp_json = loads(resp.text) user_language = resp.search_params['language'] for result in resp_json['results']: boundingbox = None if 'displayMapRegion' in result: box = result['displayMapRegion'] boundingbox = [box['southLat'], box['northLat'], bo...
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# SPDX-License-Identifier: AGPL-3.0-or-later """Apple Maps""" from json import loads from time import time from urllib.parse import urlencode from searx.network import get as http_get from searx.engines.openstreetmap import get_key_label about = { "website": 'https://www.apple.com/maps/', "wikidata_id": 'Q27...
# SPDX-License-Identifier: AGPL-3.0-or-later """Apple Maps""" from json import loads from time import time from urllib.parse import urlencode from searx.network import get as http_get from searx.engines.openstreetmap import get_key_label about = { "website": 'https://www.apple.com/maps/', "wikidata_id": 'Q27...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/arxiv.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """ArXiV (Scientific preprints) """ from datetime import datetime from lxml import etree from lxml.etree import XPath from searx.utils import eval_xpath, eval_xpath_list, eval_xpath_getindex # about about = { "website": 'https://arxiv.org', "wikidata_id": 'Q11839...
# SPDX-License-Identifier: AGPL-3.0-or-later """ArXiV (Scientific preprints) """ from datetime import datetime from lxml import etree from lxml.etree import XPath from searx.utils import eval_xpath, eval_xpath_list, eval_xpath_getindex # about about = { "website": 'https://arxiv.org', "wikidata_id": 'Q11839...
results = [] dom = etree.fromstring(resp.content) for entry in eval_xpath_list(dom, xpath_entry): title = eval_xpath_getindex(entry, xpath_title, 0).text url = eval_xpath_getindex(entry, xpath_id, 0).text abstract = eval_xpath_getindex(entry, xpath_summary, 0).text authors ...
results = [] dom = etree.fromstring(resp.content) for entry in eval_xpath_list(dom, xpath_entry): title = eval_xpath_getindex(entry, xpath_title, 0).text url = eval_xpath_getindex(entry, xpath_id, 0).text abstract = eval_xpath_getindex(entry, xpath_summary, 0).text authors ...
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# SPDX-License-Identifier: AGPL-3.0-or-later """ArXiV (Scientific preprints) """ from datetime import datetime from lxml import etree from lxml.etree import XPath from searx.utils import eval_xpath, eval_xpath_list, eval_xpath_getindex # about about = { "website": 'https://arxiv.org', "wikidata_id": 'Q11839...
# SPDX-License-Identifier: AGPL-3.0-or-later """ArXiV (Scientific preprints) """ from datetime import datetime from lxml import etree from lxml.etree import XPath from searx.utils import eval_xpath, eval_xpath_list, eval_xpath_getindex # about about = { "website": 'https://arxiv.org', "wikidata_id": 'Q11839...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/ask.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """Ask.com""" from urllib.parse import urlencode import dateutil from lxml import html from searx import utils # Metadata about = { "website": "https://www.ask.com/", "wikidata_id": 'Q847564', "official_api_documentation": None, "use_official_api": False, ...
# SPDX-License-Identifier: AGPL-3.0-or-later """Ask.com""" from urllib.parse import urlencode import dateutil from lxml import html from searx import utils # Metadata about = { "website": "https://www.ask.com/", "wikidata_id": 'Q847564', "official_api_documentation": None, "use_official_api": False, ...
start_tag = 'window.MESON.initialState = {' end_tag = '}};' dom = html.fromstring(resp.text) script = utils.eval_xpath_getindex(dom, '//script', 0, default=None).text pos = script.index(start_tag) + len(start_tag) - 1 script = script[pos:] pos = script.index(end_tag) + len(end_tag) - 1 ...
start_tag = 'window.MESON.initialState = {' end_tag = '}};' dom = html.fromstring(resp.text) script = utils.eval_xpath_getindex(dom, '//script', 0, default=None).text pos = script.index(start_tag) + len(start_tag) - 1 script = script[pos:] pos = script.index(end_tag) + len(end_tag) - 1 ...
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# SPDX-License-Identifier: AGPL-3.0-or-later """Ask.com""" from urllib.parse import urlencode import dateutil from lxml import html from searx import utils # Metadata about = { "website": "https://www.ask.com/", "wikidata_id": 'Q847564', "official_api_documentation": None, "use_official_api": False, ...
# SPDX-License-Identifier: AGPL-3.0-or-later """Ask.com""" from urllib.parse import urlencode import dateutil from lxml import html from searx import utils # Metadata about = { "website": "https://www.ask.com/", "wikidata_id": 'Q847564', "official_api_documentation": None, "use_official_api": False, ...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/bandcamp.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """Bandcamp (Music) @website https://bandcamp.com/ @provide-api no @results HTML @parse url, title, content, publishedDate, iframe_src, thumbnail """ from urllib.parse import urlencode, urlparse, parse_qs from dateutil.parser import parse as dateparse from l...
# SPDX-License-Identifier: AGPL-3.0-or-later """Bandcamp (Music) @website https://bandcamp.com/ @provide-api no @results HTML @parse url, title, content, publishedDate, iframe_src, thumbnail """ from urllib.parse import urlencode, urlparse, parse_qs from dateutil.parser import parse as dateparse from l...
results = [] dom = html.fromstring(resp.text) for result in eval_xpath_list(dom, '//li[contains(@class, "searchresult")]'): link = eval_xpath_getindex(result, './/div[@class="itemurl"]/a', 0, default=None) if link is None: continue title = result.xpath('.//div[@class=...
results = [] dom = html.fromstring(resp.text) for result in eval_xpath_list(dom, '//li[contains(@class, "searchresult")]'): link = eval_xpath_getindex(result, './/div[@class="itemurl"]/a', 0, default=None) if link is None: continue title = result.xpath('.//div[@class=...
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# SPDX-License-Identifier: AGPL-3.0-or-later """Bandcamp (Music) @website https://bandcamp.com/ @provide-api no @results HTML @parse url, title, content, publishedDate, iframe_src, thumbnail """ from urllib.parse import urlencode, urlparse, parse_qs from dateutil.parser import parse as dateparse from l...
# SPDX-License-Identifier: AGPL-3.0-or-later """Bandcamp (Music) @website https://bandcamp.com/ @provide-api no @results HTML @parse url, title, content, publishedDate, iframe_src, thumbnail """ from urllib.parse import urlencode, urlparse, parse_qs from dateutil.parser import parse as dateparse from l...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/bilibili.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """Bilibili is a Chinese video sharing website. .. _Bilibili: https://www.bilibili.com """ import random import string from urllib.parse import urlencode from datetime import datetime, timedelta # Engine metadata about = { "website": "https://www.bilibili.com", "w...
# SPDX-License-Identifier: AGPL-3.0-or-later """Bilibili is a Chinese video sharing website. .. _Bilibili: https://www.bilibili.com """ import random import string from urllib.parse import urlencode from datetime import datetime, timedelta # Engine metadata about = { "website": "https://www.bilibili.com", "w...
search_res = resp.json() results = [] for item in search_res.get("data", {}).get("result", []): title = item["title"] url = item["arcurl"] thumbnail = item["pic"] description = item["description"] author = item["author"] video_id = item["aid"] unix_d...
search_res = resp.json() results = [] for item in search_res.get("data", {}).get("result", []): title = item["title"] url = item["arcurl"] thumbnail = item["pic"] description = item["description"] author = item["author"] video_id = item["aid"] unix_d...
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# SPDX-License-Identifier: AGPL-3.0-or-later """Bilibili is a Chinese video sharing website. .. _Bilibili: https://www.bilibili.com """ import random import string from urllib.parse import urlencode from datetime import datetime, timedelta # Engine metadata about = { "website": "https://www.bilibili.com", "w...
# SPDX-License-Identifier: AGPL-3.0-or-later """Bilibili is a Chinese video sharing website. .. _Bilibili: https://www.bilibili.com """ import random import string from urllib.parse import urlencode from datetime import datetime, timedelta # Engine metadata about = { "website": "https://www.bilibili.com", "w...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/bpb.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """BPB refers to ``Bundeszentrale für poltische Bildung``, which is a German governmental institution aiming to reduce misinformation by providing resources about politics and history. """ from datetime import datetime from urllib.parse import urlencode about = { 'webs...
# SPDX-License-Identifier: AGPL-3.0-or-later """BPB refers to ``Bundeszentrale für poltische Bildung``, which is a German governmental institution aiming to reduce misinformation by providing resources about politics and history. """ from datetime import datetime from urllib.parse import urlencode about = { 'webs...
results = [] json_resp = resp.json() for result in json_resp['teaser']: img_src = None if result['teaser']['image']: img_src = base_url + result['teaser']['image']['sources'][-1]['url'] metadata = result['extension']['overline'] authors = ', '.join(author['name...
results = [] json_resp = resp.json() for result in json_resp['teaser']: img_src = None if result['teaser']['image']: img_src = base_url + result['teaser']['image']['sources'][-1]['url'] metadata = result['extension']['overline'] authors = ', '.join(author['name...
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# SPDX-License-Identifier: AGPL-3.0-or-later """BPB refers to ``Bundeszentrale für poltische Bildung``, which is a German governmental institution aiming to reduce misinformation by providing resources about politics and history. """ from datetime import datetime from urllib.parse import urlencode about = { 'webs...
# SPDX-License-Identifier: AGPL-3.0-or-later """BPB refers to ``Bundeszentrale für poltische Bildung``, which is a German governmental institution aiming to reduce misinformation by providing resources about politics and history. """ from datetime import datetime from urllib.parse import urlencode about = { 'webs...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/bt4g.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """BT4G_ (bt4g.com) is not a tracker and doesn't store any content and only collects torrent metadata (such as file names and file sizes) and a magnet link (torrent identifier). This engine does not parse the HTML page because there is an API in XML (RSS). The RSS feed prov...
# SPDX-License-Identifier: AGPL-3.0-or-later """BT4G_ (bt4g.com) is not a tracker and doesn't store any content and only collects torrent metadata (such as file names and file sizes) and a magnet link (torrent identifier). This engine does not parse the HTML page because there is an API in XML (RSS). The RSS feed prov...
results = [] search_results = etree.XML(resp.content) # return empty array if nothing is found if len(search_results) == 0: return [] for entry in search_results.xpath('./channel/item'): title = entry.find("title").text link = entry.find("guid").text fullDescriptio...
results = [] search_results = etree.XML(resp.content) # return empty array if nothing is found if len(search_results) == 0: return [] for entry in search_results.xpath('./channel/item'): title = entry.find("title").text link = entry.find("guid").text fullDescriptio...
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# SPDX-License-Identifier: AGPL-3.0-or-later """BT4G_ (bt4g.com) is not a tracker and doesn't store any content and only collects torrent metadata (such as file names and file sizes) and a magnet link (torrent identifier). This engine does not parse the HTML page because there is an API in XML (RSS). The RSS feed prov...
# SPDX-License-Identifier: AGPL-3.0-or-later """BT4G_ (bt4g.com) is not a tracker and doesn't store any content and only collects torrent metadata (such as file names and file sizes) and a magnet link (torrent identifier). This engine does not parse the HTML page because there is an API in XML (RSS). The RSS feed prov...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/btdigg.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """ BTDigg (Videos, Music, Files) """ from urllib.parse import quote, urljoin from lxml import html from searx.utils import extract_text, get_torrent_size # about about = { "website": 'https://btdig.com', "wikidata_id": 'Q4836698', "official_api_documentation...
# SPDX-License-Identifier: AGPL-3.0-or-later """ BTDigg (Videos, Music, Files) """ from urllib.parse import quote, urljoin from lxml import html from searx.utils import extract_text, get_torrent_size # about about = { "website": 'https://btdig.com', "wikidata_id": 'Q4836698', "official_api_documentation...
results = [] dom = html.fromstring(resp.text) search_res = dom.xpath('//div[@class="one_result"]') # return empty array if nothing is found if not search_res: return [] # parse results for result in search_res: link = result.xpath('.//div[@class="torrent_name"]//a')[0] ...
results = [] dom = html.fromstring(resp.text) search_res = dom.xpath('//div[@class="one_result"]') # return empty array if nothing is found if not search_res: return [] # parse results for result in search_res: link = result.xpath('.//div[@class="torrent_name"]//a')[0] ...
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# SPDX-License-Identifier: AGPL-3.0-or-later """ BTDigg (Videos, Music, Files) """ from urllib.parse import quote, urljoin from lxml import html from searx.utils import extract_text, get_torrent_size # about about = { "website": 'https://btdig.com', "wikidata_id": 'Q4836698', "official_api_documentation...
# SPDX-License-Identifier: AGPL-3.0-or-later """ BTDigg (Videos, Music, Files) """ from urllib.parse import quote, urljoin from lxml import html from searx.utils import extract_text, get_torrent_size # about about = { "website": 'https://btdig.com', "wikidata_id": 'Q4836698', "official_api_documentation...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/ccc_media.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """media.ccc.de""" import datetime from urllib.parse import urlencode from dateutil import parser about = { 'website': 'https://media.ccc.de', 'official_api_documentation': 'https://github.com/voc/voctoweb', 'use_official_api': True, 'require_api_key': Fal...
# SPDX-License-Identifier: AGPL-3.0-or-later """media.ccc.de""" import datetime from urllib.parse import urlencode from dateutil import parser about = { 'website': 'https://media.ccc.de', 'official_api_documentation': 'https://github.com/voc/voctoweb', 'use_official_api': True, 'require_api_key': Fal...
results = [] for item in resp.json()['events']: publishedDate = None if item.get('date'): publishedDate = parser.parse(item['date']) iframe_src = None for rec in item['recordings']: if rec['mime_type'].startswith('video'): if not iframe_s...
results = [] for item in resp.json()['events']: publishedDate = None if item.get('date'): publishedDate = parser.parse(item['date']) iframe_src = None for rec in item['recordings']: if rec['mime_type'].startswith('video'): if not iframe_s...
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# SPDX-License-Identifier: AGPL-3.0-or-later """media.ccc.de""" import datetime from urllib.parse import urlencode from dateutil import parser about = { 'website': 'https://media.ccc.de', 'official_api_documentation': 'https://github.com/voc/voctoweb', 'use_official_api': True, 'require_api_key': Fal...
# SPDX-License-Identifier: AGPL-3.0-or-later """media.ccc.de""" import datetime from urllib.parse import urlencode from dateutil import parser about = { 'website': 'https://media.ccc.de', 'official_api_documentation': 'https://github.com/voc/voctoweb', 'use_official_api': True, 'require_api_key': Fal...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/chefkoch.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """Chefkoch is a German database of recipes. """ from datetime import datetime from urllib.parse import urlencode about = { 'website': "https://www.chefkoch.de", 'official_api_documentation': None, 'use_official_api': False, 'require_api_key': False, 'r...
# SPDX-License-Identifier: AGPL-3.0-or-later """Chefkoch is a German database of recipes. """ from datetime import datetime from urllib.parse import urlencode about = { 'website': "https://www.chefkoch.de", 'official_api_documentation': None, 'use_official_api': False, 'require_api_key': False, 'r...
results = [] json = resp.json() for result in json['results']: recipe = result['recipe'] if skip_premium and (recipe['isPremium'] or recipe['isPlus']): continue publishedDate = None if recipe['submissionDate']: publishedDate = datetime.strptime(res...
results = [] json = resp.json() for result in json['results']: recipe = result['recipe'] if skip_premium and (recipe['isPremium'] or recipe['isPlus']): continue publishedDate = None if recipe['submissionDate']: publishedDate = datetime.strptime(res...
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# SPDX-License-Identifier: AGPL-3.0-or-later """Chefkoch is a German database of recipes. """ from datetime import datetime from urllib.parse import urlencode about = { 'website': "https://www.chefkoch.de", 'official_api_documentation': None, 'use_official_api': False, 'require_api_key': False, 'r...
# SPDX-License-Identifier: AGPL-3.0-or-later """Chefkoch is a German database of recipes. """ from datetime import datetime from urllib.parse import urlencode about = { 'website': "https://www.chefkoch.de", 'official_api_documentation': None, 'use_official_api': False, 'require_api_key': False, 'r...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/core.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """CORE (science) """ from datetime import datetime from urllib.parse import urlencode from searx.exceptions import SearxEngineAPIException about = { "website": 'https://core.ac.uk', "wikidata_id": 'Q22661180', "official_api_documentation": 'https://core.ac.u...
# SPDX-License-Identifier: AGPL-3.0-or-later """CORE (science) """ from datetime import datetime from urllib.parse import urlencode from searx.exceptions import SearxEngineAPIException about = { "website": 'https://core.ac.uk', "wikidata_id": 'Q22661180', "official_api_documentation": 'https://core.ac.u...
results = [] json_data = resp.json() for result in json_data['data']: source = result['_source'] url = None if source.get('urls'): url = source['urls'][0].replace('http://', 'https://', 1) if url is None and source.get('doi'): # use the DOI reference...
results = [] json_data = resp.json() for result in json_data['data']: source = result['_source'] url = None if source.get('urls'): url = source['urls'][0].replace('http://', 'https://', 1) if url is None and source.get('doi'): # use the DOI reference...
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# SPDX-License-Identifier: AGPL-3.0-or-later """CORE (science) """ from datetime import datetime from urllib.parse import urlencode from searx.exceptions import SearxEngineAPIException about = { "website": 'https://core.ac.uk', "wikidata_id": 'Q22661180', "official_api_documentation": 'https://core.ac.u...
# SPDX-License-Identifier: AGPL-3.0-or-later """CORE (science) """ from datetime import datetime from urllib.parse import urlencode from searx.exceptions import SearxEngineAPIException about = { "website": 'https://core.ac.uk', "wikidata_id": 'Q22661180', "official_api_documentation": 'https://core.ac.u...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/cppreference.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """Cppreference """ from lxml import html from searx.utils import eval_xpath about = { "website": "https://en.cppreference.com/", "wikidata_id": None, "official_api_documentation": None, "use_official_api": False, "require_api_key": False, "results"...
# SPDX-License-Identifier: AGPL-3.0-or-later """Cppreference """ from lxml import html from searx.utils import eval_xpath about = { "website": "https://en.cppreference.com/", "wikidata_id": None, "official_api_documentation": None, "use_official_api": False, "require_api_key": False, "results"...
results = [] dom = html.fromstring(resp.text) for result in eval_xpath(dom, '//div[contains(@class, "mw-search-result-heading")]'): results.append( { 'url': url + eval_xpath(result, './/a/@href')[0], 'title': eval_xpath(result, './/a/text()')[0], ...
results = [] dom = html.fromstring(resp.text) for result in eval_xpath(dom, '//div[contains(@class, "mw-search-result-heading")]'): results.append( { 'url': url + eval_xpath(result, './/a/@href')[0], 'title': eval_xpath(result, './/a/text()')[0], ...
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# SPDX-License-Identifier: AGPL-3.0-or-later """Cppreference """ from lxml import html from searx.utils import eval_xpath about = { "website": "https://en.cppreference.com/", "wikidata_id": None, "official_api_documentation": None, "use_official_api": False, "require_api_key": False, "results"...
# SPDX-License-Identifier: AGPL-3.0-or-later """Cppreference """ from lxml import html from searx.utils import eval_xpath about = { "website": "https://en.cppreference.com/", "wikidata_id": None, "official_api_documentation": None, "use_official_api": False, "require_api_key": False, "results"...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/crossref.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """CrossRef""" from urllib.parse import urlencode from datetime import datetime about = { "website": "https://www.crossref.org/", "wikidata_id": "Q5188229", "official_api_documentation": "https://api.crossref.org", "use_official_api": False, "require_ap...
# SPDX-License-Identifier: AGPL-3.0-or-later """CrossRef""" from urllib.parse import urlencode from datetime import datetime about = { "website": "https://www.crossref.org/", "wikidata_id": "Q5188229", "official_api_documentation": "https://api.crossref.org", "use_official_api": False, "require_ap...
results = [] for record in resp.json()["message"]["items"]: if record["type"] == "component": # These seem to be files published along with papers. Not something you'd search for continue result = { "template": "paper.html", "content": record.get(...
results = [] for record in resp.json()["message"]["items"]: if record["type"] == "component": # These seem to be files published along with papers. Not something you'd search for continue result = { "template": "paper.html", "content": record.get(...
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# SPDX-License-Identifier: AGPL-3.0-or-later """CrossRef""" from urllib.parse import urlencode from datetime import datetime about = { "website": "https://www.crossref.org/", "wikidata_id": "Q5188229", "official_api_documentation": "https://api.crossref.org", "use_official_api": False, "require_ap...
# SPDX-License-Identifier: AGPL-3.0-or-later """CrossRef""" from urllib.parse import urlencode from datetime import datetime about = { "website": "https://www.crossref.org/", "wikidata_id": "Q5188229", "official_api_documentation": "https://api.crossref.org", "use_official_api": False, "require_ap...
23,807
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/currency_convert.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """Currency convert (DuckDuckGo) """ import json # about about = { "website": 'https://duckduckgo.com/', "wikidata_id": 'Q12805', "official_api_documentation": 'https://duckduckgo.com/api', "use_official_api": False, "require_api_key": False, "resul...
# SPDX-License-Identifier: AGPL-3.0-or-later """Currency convert (DuckDuckGo) """ import json # about about = { "website": 'https://duckduckgo.com/', "wikidata_id": 'Q12805', "official_api_documentation": 'https://duckduckgo.com/api', "use_official_api": False, "require_api_key": False, "resul...
# remove first and last lines to get only json json_resp = resp.text[resp.text.find('\n') + 1 : resp.text.rfind('\n') - 2] try: conversion_rate = float(json.loads(json_resp)["to"][0]["mid"]) except IndexError: return [] answer = '{0} {1} = {2} {3}, 1 {1} ({5}) = {4} {3} ({6})'.format...
# remove first and last lines to get only json json_resp = resp.text[resp.text.find('\n') + 1 : resp.text.rfind('\n') - 2] try: conversion_rate = float(json.loads(json_resp)["to"][0]["mid"]) except IndexError: return [] answer = '{0} {1} = {2} {3}, 1 {1} ({5}) = {4} {3} ({6})'.format...
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# SPDX-License-Identifier: AGPL-3.0-or-later """Currency convert (DuckDuckGo) """ import json # about about = { "website": 'https://duckduckgo.com/', "wikidata_id": 'Q12805', "official_api_documentation": 'https://duckduckgo.com/api', "use_official_api": False, "require_api_key": False, "resul...
# SPDX-License-Identifier: AGPL-3.0-or-later """Currency convert (DuckDuckGo) """ import json # about about = { "website": 'https://duckduckgo.com/', "wikidata_id": 'Q12805', "official_api_documentation": 'https://duckduckgo.com/api', "use_official_api": False, "require_api_key": False, "resul...
23,808
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/deepl.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """Deepl translation engine""" from json import loads about = { "website": 'https://deepl.com', "wikidata_id": 'Q43968444', "official_api_documentation": 'https://www.deepl.com/docs-api', "use_official_api": True, "require_api_key": True, "results":...
# SPDX-License-Identifier: AGPL-3.0-or-later """Deepl translation engine""" from json import loads about = { "website": 'https://deepl.com', "wikidata_id": 'Q43968444', "official_api_documentation": 'https://www.deepl.com/docs-api', "use_official_api": True, "require_api_key": True, "results":...
results = [] result = loads(resp.text) translations = result['translations'] infobox = "<dl>" for translation in translations: infobox += f"<dd>{translation['text']}</dd>" infobox += "</dl>" results.append({'answer': infobox}) return results
results = [] result = loads(resp.text) translations = result['translations'] infobox = "<dl>" for translation in translations: infobox += f"<dd>{translation['text']}</dd>" infobox += "</dl>" results.append({'answer': infobox}) return results
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# SPDX-License-Identifier: AGPL-3.0-or-later """Deepl translation engine""" from json import loads about = { "website": 'https://deepl.com', "wikidata_id": 'Q43968444', "official_api_documentation": 'https://www.deepl.com/docs-api', "use_official_api": True, "require_api_key": True, "results":...
# SPDX-License-Identifier: AGPL-3.0-or-later """Deepl translation engine""" from json import loads about = { "website": 'https://deepl.com', "wikidata_id": 'Q43968444', "official_api_documentation": 'https://www.deepl.com/docs-api', "use_official_api": True, "require_api_key": True, "results":...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/deezer.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """ Deezer (Music) """ from json import loads from urllib.parse import urlencode # about about = { "website": 'https://deezer.com', "wikidata_id": 'Q602243', "official_api_documentation": 'https://developers.deezer.com/', "use_official_api": True, "req...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Deezer (Music) """ from json import loads from urllib.parse import urlencode # about about = { "website": 'https://deezer.com', "wikidata_id": 'Q602243', "official_api_documentation": 'https://developers.deezer.com/', "use_official_api": True, "req...
results = [] search_res = loads(resp.text) # parse results for result in search_res.get('data', []): if result['type'] == 'track': title = result['title'] url = result['link'] # pylint: disable=redefined-outer-name if url.startswith('http://'): ...
results = [] search_res = loads(resp.text) # parse results for result in search_res.get('data', []): if result['type'] == 'track': title = result['title'] url = result['link'] # pylint: disable=redefined-outer-name if url.startswith('http://'): ...
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# SPDX-License-Identifier: AGPL-3.0-or-later """ Deezer (Music) """ from json import loads from urllib.parse import urlencode # about about = { "website": 'https://deezer.com', "wikidata_id": 'Q602243', "official_api_documentation": 'https://developers.deezer.com/', "use_official_api": True, "req...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Deezer (Music) """ from json import loads from urllib.parse import urlencode # about about = { "website": 'https://deezer.com', "wikidata_id": 'Q602243', "official_api_documentation": 'https://developers.deezer.com/', "use_official_api": True, "req...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/demo_offline.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """Within this module we implement a *demo offline engine*. Do not look to close to the implementation, its just a simple example. To get in use of this *demo* engine add the following entry to your engines list in ``settings.yml``: .. code:: yaml - name: my offline en...
# SPDX-License-Identifier: AGPL-3.0-or-later """Within this module we implement a *demo offline engine*. Do not look to close to the implementation, its just a simple example. To get in use of this *demo* engine add the following entry to your engines list in ``settings.yml``: .. code:: yaml - name: my offline en...
ret_val = [] result_list = json.loads(_my_offline_engine) for row in result_list: entry = { 'query': query, 'language': request_params['searxng_locale'], 'value': row.get("value"), # choose a result template or comment out to use the *default* ...
"""Query (offline) engine and return results. Assemble the list of results from your local engine. In this demo engine we ignore the 'query' term, usual you would pass the 'query' term to your local engine to filter out the results. """ ret_val = [] result_list = json.loads(_my_offline_e...
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# SPDX-License-Identifier: AGPL-3.0-or-later """Within this module we implement a *demo offline engine*. Do not look to close to the implementation, its just a simple example. To get in use of this *demo* engine add the following entry to your engines list in ``settings.yml``: .. code:: yaml - name: my offline en...
# SPDX-License-Identifier: AGPL-3.0-or-later """Within this module we implement a *demo offline engine*. Do not look to close to the implementation, its just a simple example. To get in use of this *demo* engine add the following entry to your engines list in ``settings.yml``: .. code:: yaml - name: my offline en...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/demo_online.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """Within this module we implement a *demo online engine*. Do not look to close to the implementation, its just a simple example which queries `The Art Institute of Chicago <https://www.artic.edu>`_ To get in use of this *demo* engine add the following entry to your engine...
# SPDX-License-Identifier: AGPL-3.0-or-later """Within this module we implement a *demo online engine*. Do not look to close to the implementation, its just a simple example which queries `The Art Institute of Chicago <https://www.artic.edu>`_ To get in use of this *demo* engine add the following entry to your engine...
results = [] json_data = loads(resp.text) for result in json_data['data']: if not result['image_id']: continue results.append( { 'url': 'https://artic.edu/artworks/%(id)s' % result, 'title': result['title'] + " (%(date_display)s) // ...
"""Parse out the result items from the response. In this example we parse the response from `api.artic.edu <https://artic.edu>`__ and filter out all images. """ results = [] json_data = loads(resp.text) for result in json_data['data']: if not result['image_id']: conti...
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# SPDX-License-Identifier: AGPL-3.0-or-later """Within this module we implement a *demo online engine*. Do not look to close to the implementation, its just a simple example which queries `The Art Institute of Chicago <https://www.artic.edu>`_ To get in use of this *demo* engine add the following entry to your engine...
# SPDX-License-Identifier: AGPL-3.0-or-later """Within this module we implement a *demo online engine*. Do not look to close to the implementation, its just a simple example which queries `The Art Institute of Chicago <https://www.artic.edu>`_ To get in use of this *demo* engine add the following entry to your engine...
23,812
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/destatis.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """DeStatis """ from urllib.parse import urlencode from lxml import html from searx.utils import eval_xpath, eval_xpath_list, extract_text about = { 'website': 'https://www.destatis.de', 'official_api_documentation': 'https://destatis.api.bund.dev/', 'use_offic...
# SPDX-License-Identifier: AGPL-3.0-or-later """DeStatis """ from urllib.parse import urlencode from lxml import html from searx.utils import eval_xpath, eval_xpath_list, extract_text about = { 'website': 'https://www.destatis.de', 'official_api_documentation': 'https://destatis.api.bund.dev/', 'use_offic...
args = { 'templateQueryString': query, 'gtp': f"474_list%3D{params['pageno']}", } params['url'] = f"{search_url}?{urlencode(args)}" return params
args = { 'templateQueryString': query, 'gtp': f"474_list%3D{params['pageno']}", } params['url'] = f"{search_url}?{urlencode(args)}" return params
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# SPDX-License-Identifier: AGPL-3.0-or-later """DeStatis """ from urllib.parse import urlencode from lxml import html from searx.utils import eval_xpath, eval_xpath_list, extract_text about = { 'website': 'https://www.destatis.de', 'official_api_documentation': 'https://destatis.api.bund.dev/', 'use_offic...
# SPDX-License-Identifier: AGPL-3.0-or-later """DeStatis """ from urllib.parse import urlencode from lxml import html from searx.utils import eval_xpath, eval_xpath_list, extract_text about = { 'website': 'https://www.destatis.de', 'official_api_documentation': 'https://destatis.api.bund.dev/', 'use_offic...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/deviantart.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """Deviantart (Images) """ import urllib.parse from lxml import html from searx.utils import extract_text, eval_xpath, eval_xpath_list # about about = { "website": 'https://www.deviantart.com/', "wikidata_id": 'Q46523', "official_api_documentation": 'https://...
# SPDX-License-Identifier: AGPL-3.0-or-later """Deviantart (Images) """ import urllib.parse from lxml import html from searx.utils import extract_text, eval_xpath, eval_xpath_list # about about = { "website": 'https://www.deviantart.com/', "wikidata_id": 'Q46523', "official_api_documentation": 'https://...
results = [] dom = html.fromstring(resp.text) for result in eval_xpath_list(dom, results_xpath): # skip images that are blurred _text = extract_text(eval_xpath(result, premium_xpath)) if _text and premium_keytext in _text: continue img_src = extract_text(eval_xp...
results = [] dom = html.fromstring(resp.text) for result in eval_xpath_list(dom, results_xpath): # skip images that are blurred _text = extract_text(eval_xpath(result, premium_xpath)) if _text and premium_keytext in _text: continue img_src = extract_text(eval_xp...
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# SPDX-License-Identifier: AGPL-3.0-or-later """Deviantart (Images) """ import urllib.parse from lxml import html from searx.utils import extract_text, eval_xpath, eval_xpath_list # about about = { "website": 'https://www.deviantart.com/', "wikidata_id": 'Q46523', "official_api_documentation": 'https://...
# SPDX-License-Identifier: AGPL-3.0-or-later """Deviantart (Images) """ import urllib.parse from lxml import html from searx.utils import extract_text, eval_xpath, eval_xpath_list # about about = { "website": 'https://www.deviantart.com/', "wikidata_id": 'Q46523', "official_api_documentation": 'https://...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/dictzone.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """ Dictzone """ from urllib.parse import urljoin from lxml import html from searx.utils import eval_xpath # about about = { "website": 'https://dictzone.com/', "wikidata_id": None, "official_api_documentation": None, "use_official_api": False, "requir...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Dictzone """ from urllib.parse import urljoin from lxml import html from searx.utils import eval_xpath # about about = { "website": 'https://dictzone.com/', "wikidata_id": None, "official_api_documentation": None, "use_official_api": False, "requir...
results = [] dom = html.fromstring(resp.text) for k, result in enumerate(eval_xpath(dom, results_xpath)[1:]): try: from_result, to_results_raw = eval_xpath(result, './td') except: # pylint: disable=bare-except continue to_results = [] for to_result...
results = [] dom = html.fromstring(resp.text) for k, result in enumerate(eval_xpath(dom, results_xpath)[1:]): try: from_result, to_results_raw = eval_xpath(result, './td') except: # pylint: disable=bare-except continue to_results = [] for to_result...
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# SPDX-License-Identifier: AGPL-3.0-or-later """ Dictzone """ from urllib.parse import urljoin from lxml import html from searx.utils import eval_xpath # about about = { "website": 'https://dictzone.com/', "wikidata_id": None, "official_api_documentation": None, "use_official_api": False, "requir...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Dictzone """ from urllib.parse import urljoin from lxml import html from searx.utils import eval_xpath # about about = { "website": 'https://dictzone.com/', "wikidata_id": None, "official_api_documentation": None, "use_official_api": False, "requir...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/digbt.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """ DigBT (Videos, Music, Files) """ from urllib.parse import urljoin from lxml import html from searx.utils import extract_text, get_torrent_size # about about = { "website": 'https://digbt.org', "wikidata_id": None, "official_api_documentation": None, "u...
# SPDX-License-Identifier: AGPL-3.0-or-later """ DigBT (Videos, Music, Files) """ from urllib.parse import urljoin from lxml import html from searx.utils import extract_text, get_torrent_size # about about = { "website": 'https://digbt.org', "wikidata_id": None, "official_api_documentation": None, "u...
dom = html.fromstring(resp.text) search_res = dom.xpath('.//td[@class="x-item"]') if not search_res: return [] results = [] for result in search_res: url = urljoin(URL, result.xpath('.//a[@title]/@href')[0]) title = extract_text(result.xpath('.//a[@title]')) content...
dom = html.fromstring(resp.text) search_res = dom.xpath('.//td[@class="x-item"]') if not search_res: return [] results = [] for result in search_res: url = urljoin(URL, result.xpath('.//a[@title]/@href')[0]) title = extract_text(result.xpath('.//a[@title]')) content...
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# SPDX-License-Identifier: AGPL-3.0-or-later """ DigBT (Videos, Music, Files) """ from urllib.parse import urljoin from lxml import html from searx.utils import extract_text, get_torrent_size # about about = { "website": 'https://digbt.org', "wikidata_id": None, "official_api_documentation": None, "u...
# SPDX-License-Identifier: AGPL-3.0-or-later """ DigBT (Videos, Music, Files) """ from urllib.parse import urljoin from lxml import html from searx.utils import extract_text, get_torrent_size # about about = { "website": 'https://digbt.org', "wikidata_id": None, "official_api_documentation": None, "u...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/docker_hub.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """Docker Hub (IT) """ # pylint: disable=use-dict-literal from urllib.parse import urlencode from dateutil import parser about = { "website": 'https://hub.docker.com', "wikidata_id": 'Q100769064', "official_api_documentation": 'https://docs.docker.com/registry...
# SPDX-License-Identifier: AGPL-3.0-or-later """Docker Hub (IT) """ # pylint: disable=use-dict-literal from urllib.parse import urlencode from dateutil import parser about = { "website": 'https://hub.docker.com', "wikidata_id": 'Q100769064', "official_api_documentation": 'https://docs.docker.com/registry...
params['url'] = search_url.format(query=urlencode(dict(q=query, page=params["pageno"]))) params["headers"]["Search-Version"] = "v3" return params
params['url'] = search_url.format(query=urlencode(dict(q=query, page=params["pageno"]))) params["headers"]["Search-Version"] = "v3" return params
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# SPDX-License-Identifier: AGPL-3.0-or-later """Docker Hub (IT) """ # pylint: disable=use-dict-literal from urllib.parse import urlencode from dateutil import parser about = { "website": 'https://hub.docker.com', "wikidata_id": 'Q100769064', "official_api_documentation": 'https://docs.docker.com/registry...
# SPDX-License-Identifier: AGPL-3.0-or-later """Docker Hub (IT) """ # pylint: disable=use-dict-literal from urllib.parse import urlencode from dateutil import parser about = { "website": 'https://hub.docker.com', "wikidata_id": 'Q100769064', "official_api_documentation": 'https://docs.docker.com/registry...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/doku.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """ Doku Wiki """ from urllib.parse import urlencode from lxml.html import fromstring from searx.utils import extract_text, eval_xpath # about about = { "website": 'https://www.dokuwiki.org/', "wikidata_id": 'Q851864', "official_api_documentation": 'https://ww...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Doku Wiki """ from urllib.parse import urlencode from lxml.html import fromstring from searx.utils import extract_text, eval_xpath # about about = { "website": 'https://www.dokuwiki.org/', "wikidata_id": 'Q851864', "official_api_documentation": 'https://ww...
results = [] doc = fromstring(resp.text) # parse results # Quickhits for r in eval_xpath(doc, '//div[@class="search_quickresult"]/ul/li'): try: res_url = eval_xpath(r, './/a[@class="wikilink1"]/@href')[-1] except: # pylint: disable=bare-except continue ...
results = [] doc = fromstring(resp.text) # parse results # Quickhits for r in eval_xpath(doc, '//div[@class="search_quickresult"]/ul/li'): try: res_url = eval_xpath(r, './/a[@class="wikilink1"]/@href')[-1] except: # pylint: disable=bare-except continue ...
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# SPDX-License-Identifier: AGPL-3.0-or-later """ Doku Wiki """ from urllib.parse import urlencode from lxml.html import fromstring from searx.utils import extract_text, eval_xpath # about about = { "website": 'https://www.dokuwiki.org/', "wikidata_id": 'Q851864', "official_api_documentation": 'https://ww...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Doku Wiki """ from urllib.parse import urlencode from lxml.html import fromstring from searx.utils import extract_text, eval_xpath # about about = { "website": 'https://www.dokuwiki.org/', "wikidata_id": 'Q851864', "official_api_documentation": 'https://ww...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/duden.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """Duden """ import re from urllib.parse import quote, urljoin from lxml import html from searx.utils import extract_text, eval_xpath, eval_xpath_list, eval_xpath_getindex from searx.network import raise_for_httperror # about about = { "website": 'https://www.duden.de...
# SPDX-License-Identifier: AGPL-3.0-or-later """Duden """ import re from urllib.parse import quote, urljoin from lxml import html from searx.utils import extract_text, eval_xpath, eval_xpath_list, eval_xpath_getindex from searx.network import raise_for_httperror # about about = { "website": 'https://www.duden.de...
results = [] if resp.status_code == 404: return results raise_for_httperror(resp) dom = html.fromstring(resp.text) number_of_results_element = eval_xpath_getindex( dom, '//a[@class="active" and contains(@href,"/suchen/dudenonline")]/span/text()', 0, default=None ) if numb...
results = [] if resp.status_code == 404: return results raise_for_httperror(resp) dom = html.fromstring(resp.text) number_of_results_element = eval_xpath_getindex( dom, '//a[@class="active" and contains(@href,"/suchen/dudenonline")]/span/text()', 0, default=None ) if numb...
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# SPDX-License-Identifier: AGPL-3.0-or-later """Duden """ import re from urllib.parse import quote, urljoin from lxml import html from searx.utils import extract_text, eval_xpath, eval_xpath_list, eval_xpath_getindex from searx.network import raise_for_httperror # about about = { "website": 'https://www.duden.de...
# SPDX-License-Identifier: AGPL-3.0-or-later """Duden """ import re from urllib.parse import quote, urljoin from lxml import html from searx.utils import extract_text, eval_xpath, eval_xpath_list, eval_xpath_getindex from searx.network import raise_for_httperror # about about = { "website": 'https://www.duden.de...
23,819
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/dummy-offline.py
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# SPDX-License-Identifier: AGPL-3.0-or-later # pylint: disable=invalid-name """Dummy Offline """ # about about = { "wikidata_id": None, "official_api_documentation": None, "use_official_api": False, "require_api_key": False, "results": 'HTML', } def search(query, request_params): # pylint: dis...
# SPDX-License-Identifier: AGPL-3.0-or-later # pylint: disable=invalid-name """Dummy Offline """ # about about = { "wikidata_id": None, "official_api_documentation": None, "use_official_api": False, "require_api_key": False, "results": 'HTML', } def search(query, request_params): # pylint: dis...
return [ { 'result': 'this is what you get', } ]
return [ { 'result': 'this is what you get', } ]
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# SPDX-License-Identifier: AGPL-3.0-or-later # pylint: disable=invalid-name """Dummy Offline """ # about about = { "wikidata_id": None, "official_api_documentation": None, "use_official_api": False, "require_api_key": False, "results": 'HTML', } def search(query, request_params): # pylint: dis...
# SPDX-License-Identifier: AGPL-3.0-or-later # pylint: disable=invalid-name """Dummy Offline """ # about about = { "wikidata_id": None, "official_api_documentation": None, "use_official_api": False, "require_api_key": False, "results": 'HTML', } def search(query, request_params): # pylint: dis...
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# SPDX-License-Identifier: AGPL-3.0-or-later """Dummy """ # about about = { "website": None, "wikidata_id": None, "official_api_documentation": None, "use_official_api": False, "require_api_key": False, "results": 'empty array', } # do search-request def request(query, params): # pylint: di...
# SPDX-License-Identifier: AGPL-3.0-or-later """Dummy """ # about about = { "website": None, "wikidata_id": None, "official_api_documentation": None, "use_official_api": False, "require_api_key": False, "results": 'empty array', } # do search-request def request(query, params): # pylint: di...
return params # get response from search-request
return params # get response from search-request
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# SPDX-License-Identifier: AGPL-3.0-or-later """Dummy """ # about about = { "website": None, "wikidata_id": None, "official_api_documentation": None, "use_official_api": False, "require_api_key": False, "results": 'empty array', } # do search-request def request(query, params): # pylint: di...
# SPDX-License-Identifier: AGPL-3.0-or-later """Dummy """ # about about = { "website": None, "wikidata_id": None, "official_api_documentation": None, "use_official_api": False, "require_api_key": False, "results": 'empty array', } # do search-request def request(query, params): # pylint: di...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng
/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/ebay.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """ Ebay (Videos, Music, Files) """ from urllib.parse import quote from lxml import html from searx.engines.xpath import extract_text # about about = { "website": 'https://www.ebay.com', "wikidata_id": 'Q58024', "official_api_documentation": 'https://develope...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Ebay (Videos, Music, Files) """ from urllib.parse import quote from lxml import html from searx.engines.xpath import extract_text # about about = { "website": 'https://www.ebay.com', "wikidata_id": 'Q58024', "official_api_documentation": 'https://develope...
results = [] dom = html.fromstring(resp.text) results_dom = dom.xpath(results_xpath) if not results_dom: return [] for result_dom in results_dom: url = extract_text(result_dom.xpath(url_xpath)) title = extract_text(result_dom.xpath(title_xpath)) content = extract_te...
results = [] dom = html.fromstring(resp.text) results_dom = dom.xpath(results_xpath) if not results_dom: return [] for result_dom in results_dom: url = extract_text(result_dom.xpath(url_xpath)) title = extract_text(result_dom.xpath(title_xpath)) content = extract_te...
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# SPDX-License-Identifier: AGPL-3.0-or-later """ Ebay (Videos, Music, Files) """ from urllib.parse import quote from lxml import html from searx.engines.xpath import extract_text # about about = { "website": 'https://www.ebay.com', "wikidata_id": 'Q58024', "official_api_documentation": 'https://develope...
# SPDX-License-Identifier: AGPL-3.0-or-later """ Ebay (Videos, Music, Files) """ from urllib.parse import quote from lxml import html from searx.engines.xpath import extract_text # about about = { "website": 'https://www.ebay.com', "wikidata_id": 'Q58024', "official_api_documentation": 'https://develope...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/elasticsearch.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """.. sidebar:: info - :origin:`elasticsearch.py <searx/engines/elasticsearch.py>` - `Elasticsearch <https://www.elastic.co/elasticsearch/>`_ - `Elasticsearch Guide <https://www.elastic.co/guide/en/elasticsearch/reference/current/index.html>`_ - `Install El...
# SPDX-License-Identifier: AGPL-3.0-or-later """.. sidebar:: info - :origin:`elasticsearch.py <searx/engines/elasticsearch.py>` - `Elasticsearch <https://www.elastic.co/elasticsearch/>`_ - `Elasticsearch Guide <https://www.elastic.co/guide/en/elasticsearch/reference/current/index.html>`_ - `Install El...
try: key, value = query.split(':') except Exception as e: raise ValueError('query format must be "key:value"') from e return {"query": {"match": {key: {'query': value}}}}
""" The standard for full text queries. searx format: "key:value" e.g. city:berlin REF: https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-match-query.html """ try: key, value = query.split(':') except Exception as e: raise ValueError('query format mus...
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# SPDX-License-Identifier: AGPL-3.0-or-later """.. sidebar:: info - :origin:`elasticsearch.py <searx/engines/elasticsearch.py>` - `Elasticsearch <https://www.elastic.co/elasticsearch/>`_ - `Elasticsearch Guide <https://www.elastic.co/guide/en/elasticsearch/reference/current/index.html>`_ - `Install El...
# SPDX-License-Identifier: AGPL-3.0-or-later """.. sidebar:: info - :origin:`elasticsearch.py <searx/engines/elasticsearch.py>` - `Elasticsearch <https://www.elastic.co/elasticsearch/>`_ - `Elasticsearch Guide <https://www.elastic.co/guide/en/elasticsearch/reference/current/index.html>`_ - `Install El...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/emojipedia.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """Emojipedia Emojipedia is an emoji reference website which documents the meaning and common usage of emoji characters in the Unicode Standard. It is owned by Zedge since 2021. Emojipedia is a voting member of The Unicode Consortium.[1] [1] https://en.wikipedia.org/wiki/...
# SPDX-License-Identifier: AGPL-3.0-or-later """Emojipedia Emojipedia is an emoji reference website which documents the meaning and common usage of emoji characters in the Unicode Standard. It is owned by Zedge since 2021. Emojipedia is a voting member of The Unicode Consortium.[1] [1] https://en.wikipedia.org/wiki/...
results = [] dom = html.fromstring(resp.text) for result in eval_xpath_list(dom, '//div[starts-with(@class, "EmojisList")]/a'): url = base_url + result.attrib.get('href') res = {'url': url, 'title': extract_text(result), 'content': ''} results.append(res) return results
results = [] dom = html.fromstring(resp.text) for result in eval_xpath_list(dom, '//div[starts-with(@class, "EmojisList")]/a'): url = base_url + result.attrib.get('href') res = {'url': url, 'title': extract_text(result), 'content': ''} results.append(res) return results
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# SPDX-License-Identifier: AGPL-3.0-or-later """Emojipedia Emojipedia is an emoji reference website which documents the meaning and common usage of emoji characters in the Unicode Standard. It is owned by Zedge since 2021. Emojipedia is a voting member of The Unicode Consortium.[1] [1] https://en.wikipedia.org/wiki/...
# SPDX-License-Identifier: AGPL-3.0-or-later """Emojipedia Emojipedia is an emoji reference website which documents the meaning and common usage of emoji characters in the Unicode Standard. It is owned by Zedge since 2021. Emojipedia is a voting member of The Unicode Consortium.[1] [1] https://en.wikipedia.org/wiki/...
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/home/hieuvd/dung_repo/raw/stars_01/searxng_searxng/searxng/searx/engines/fdroid.py
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# SPDX-License-Identifier: AGPL-3.0-or-later """ F-Droid (a repository of FOSS applications for Android) """ from urllib.parse import urlencode from lxml import html from searx.utils import extract_text # about about = { "website": 'https://f-droid.org/', "wikidata_id": 'Q1386210', "official_api_document...
# SPDX-License-Identifier: AGPL-3.0-or-later """ F-Droid (a repository of FOSS applications for Android) """ from urllib.parse import urlencode from lxml import html from searx.utils import extract_text # about about = { "website": 'https://f-droid.org/', "wikidata_id": 'Q1386210', "official_api_document...
query = urlencode({'q': query, 'page': params['pageno'], 'lang': ''}) params['url'] = search_url.format(query=query) return params # get response from search-request
query = urlencode({'q': query, 'page': params['pageno'], 'lang': ''}) params['url'] = search_url.format(query=query) return params # get response from search-request
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# SPDX-License-Identifier: AGPL-3.0-or-later """ F-Droid (a repository of FOSS applications for Android) """ from urllib.parse import urlencode from lxml import html from searx.utils import extract_text # about about = { "website": 'https://f-droid.org/', "wikidata_id": 'Q1386210', "official_api_document...
# SPDX-License-Identifier: AGPL-3.0-or-later """ F-Droid (a repository of FOSS applications for Android) """ from urllib.parse import urlencode from lxml import html from searx.utils import extract_text # about about = { "website": 'https://f-droid.org/', "wikidata_id": 'Q1386210', "official_api_document...