id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
188,934 | import os
import gradio as gr
import nltk
from langchain.chains import RetrievalQA
from langchain.document_loaders import UnstructuredFileLoader
from langchain.prompts import PromptTemplate
from langchain.prompts.prompt import PromptTemplate
from langchain.vectorstores import FAISS
from paddle_embedding import PaddleNL... | null |
188,936 | import os
import gradio as gr
import nltk
from langchain.chains import RetrievalQA
from langchain.document_loaders import UnstructuredFileLoader
from langchain.prompts import PromptTemplate
from langchain.prompts.prompt import PromptTemplate
from langchain.vectorstores import FAISS
from paddle_embedding import PaddleNL... | null |
188,937 | import datetime
import os
from typing import List
import nltk
import qdrant_client
import sentence_transformers
import torch
from duckduckgo_search import ddg
from duckduckgo_search.utils import SESSION
from langchain.chains import RetrievalQA
from langchain.document_loaders import UnstructuredFileLoader
from langchain... | null |
188,938 | import datetime
import os
from typing import List
import nltk
import qdrant_client
import sentence_transformers
import torch
from duckduckgo_search import ddg
from duckduckgo_search.utils import SESSION
from langchain.chains import RetrievalQA
from langchain.document_loaders import UnstructuredFileLoader
from langchain... | null |
188,939 | import datetime
import os
from typing import List
import nltk
import qdrant_client
import sentence_transformers
import torch
from duckduckgo_search import ddg
from duckduckgo_search.utils import SESSION
from langchain.chains import RetrievalQA
from langchain.document_loaders import UnstructuredFileLoader
from langchain... | null |
188,940 | import datetime
import os
from typing import List
import nltk
import qdrant_client
import sentence_transformers
import torch
from duckduckgo_search import ddg
from duckduckgo_search.utils import SESSION
from langchain.chains import RetrievalQA
from langchain.document_loaders import UnstructuredFileLoader
from langchain... | null |
188,947 | import os
from detectron2.data import DatasetCatalog, MetadataCatalog
from detectron2.data.datasets import load_sem_seg
def _get_coco_stuff_meta():
def register_all_coco_stuff_10k(root):
root = os.path.join(root, "coco", "coco_stuff_10k")
meta = _get_coco_stuff_meta()
for name, image_dirname, sem_seg_dirna... | null |
188,948 | import copy
import logging
import numpy as np
import torch
from detectron2.config import configurable
from detectron2.data import detection_utils as utils
from detectron2.data import transforms as T
from detectron2.data.transforms import TransformGen
from detectron2.structures import BitMasks, Instances
from pycocotool... | null |
188,949 | import copy
import logging
import numpy as np
import torch
from detectron2.config import configurable
from detectron2.data import detection_utils as utils
from detectron2.data import transforms as T
from detectron2.data.transforms import TransformGen
from detectron2.structures import BitMasks, Instances
from pycocotool... | Create a list of default :class:`Augmentation` from config. Now it includes resizing and flipping. Returns: list[Augmentation] |
188,950 | import copy
import logging
import numpy as np
import torch
from detectron2.config import configurable
from detectron2.data import detection_utils as utils
from detectron2.data import transforms as T
from detectron2.data.transforms import TransformGen
from detectron2.structures import BitMasks, Boxes, Instances
The pro... | Create a list of default :class:`Augmentation` from config. Now it includes resizing and flipping. Returns: list[Augmentation] |
188,951 | import logging
import torch
import torch.nn.functional as F
from torch import nn
from detectron2.utils.comm import get_world_size
from detectron2.projects.point_rend.point_features import (
get_uncertain_point_coords_with_randomness,
point_sample,
)
from ..utils.misc import is_dist_avail_and_initialized, nested... | Compute the DICE loss, similar to generalized IOU for masks Args: inputs: A float tensor of arbitrary shape. The predictions for each example. targets: A float tensor with the same shape as inputs. Stores the binary classification label for each element in inputs (0 for the negative class and 1 for the positive class). |
188,952 | import logging
import torch
import torch.nn.functional as F
from torch import nn
from detectron2.utils.comm import get_world_size
from detectron2.projects.point_rend.point_features import (
get_uncertain_point_coords_with_randomness,
point_sample,
)
from ..utils.misc import is_dist_avail_and_initialized, nested... | Args: inputs: A float tensor of arbitrary shape. The predictions for each example. targets: A float tensor with the same shape as inputs. Stores the binary classification label for each element in inputs (0 for the negative class and 1 for the positive class). Returns: Loss tensor |
188,953 | import logging
import torch
import torch.nn.functional as F
from torch import nn
from detectron2.utils.comm import get_world_size
from detectron2.projects.point_rend.point_features import (
get_uncertain_point_coords_with_randomness,
point_sample,
)
from ..utils.misc import is_dist_avail_and_initialized, nested... | We estimate uncerainty as L1 distance between 0.0 and the logit prediction in 'logits' for the foreground class in `classes`. Args: logits (Tensor): A tensor of shape (R, 1, ...) for class-specific or class-agnostic, where R is the total number of predicted masks in all images and C is the number of foreground classes.... |
188,956 | import logging
import fvcore.nn.weight_init as weight_init
from typing import Optional
import torch
from torch import nn, Tensor
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.layers import Conv2d
from .position_encoding import PositionEmbeddingSine
from .maskformer_tran... | Return an activation function given a string |
188,957 | import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.layers import Conv2d
from detectron2.utils.registry import Registry
from .position_encoding import PositionEmbeddingSine
from .transformer import ... | Build a instance embedding branch from `cfg.MODEL.INS_EMBED_HEAD.NAME`. |
188,960 | import torch
import torch.nn.functional as F
from scipy.optimize import linear_sum_assignment
from torch import nn
from torch.cuda.amp import autocast
from detectron2.projects.point_rend.point_features import point_sample
The provided code snippet includes necessary dependencies for implementing the `batch_dice_loss` ... | Compute the DICE loss, similar to generalized IOU for masks Args: inputs: A float tensor of arbitrary shape. The predictions for each example. targets: A float tensor with the same shape as inputs. Stores the binary classification label for each element in inputs (0 for the negative class and 1 for the positive class). |
188,961 | import torch
import torch.nn.functional as F
from scipy.optimize import linear_sum_assignment
from torch import nn
from torch.cuda.amp import autocast
from detectron2.projects.point_rend.point_features import point_sample
The provided code snippet includes necessary dependencies for implementing the `batch_sigmoid_ce_... | Args: inputs: A float tensor of arbitrary shape. The predictions for each example. targets: A float tensor with the same shape as inputs. Stores the binary classification label for each element in inputs (0 for the negative class and 1 for the positive class). Returns: Loss tensor |
188,962 | import logging
import numpy as np
from typing import Callable, Dict, List, Optional, Tuple, Union
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from torch.nn import functional as F
from torch.nn.init import xavier_uniform_, constant_, uniform_, normal_
from torch.cuda.amp import autocast... | Build a pixel decoder from `cfg.MODEL.MASK_FORMER.PIXEL_DECODER_NAME`. |
188,963 | from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
import warnings
import math
import torch
from torch import nn
import torch.nn.functional as F
from torch.nn.init import xavier_uniform_, constant_
from ..functions import MSDeformAttnFunction
from ..functions.ms... | null |
188,969 | import argparse
import glob
import multiprocessing as mp
import os
import sys
import tempfile
import time
import warnings
import cv2
import numpy as np
import tqdm
from torch.cuda.amp import autocast
from detectron2.config import get_cfg
from detectron2.data.detection_utils import read_image
from detectron2.projects.de... | null |
188,970 | import argparse
import glob
import multiprocessing as mp
import os
import sys
import tempfile
import time
import warnings
import cv2
import numpy as np
import tqdm
from torch.cuda.amp import autocast
from detectron2.config import get_cfg
from detectron2.data.detection_utils import read_image
from detectron2.projects.de... | null |
188,971 | import argparse
import glob
import multiprocessing as mp
import os
import sys
import tempfile
import time
import warnings
import cv2
import numpy as np
import tqdm
from torch.cuda.amp import autocast
from detectron2.config import get_cfg
from detectron2.data.detection_utils import read_image
from detectron2.projects.de... | null |
188,972 | import argparse
import glob
import multiprocessing as mp
import os
import sys
import tempfile
import time
import warnings
import cv2
import numpy as np
import tqdm
from detectron2.config import get_cfg
from detectron2.data.detection_utils import read_image
from detectron2.projects.deeplab import add_deeplab_config
from... | null |
188,973 | import argparse
import glob
import multiprocessing as mp
import os
import sys
import tempfile
import time
import warnings
import cv2
import numpy as np
import tqdm
from detectron2.config import get_cfg
from detectron2.data.detection_utils import read_image
from detectron2.projects.deeplab import add_deeplab_config
from... | null |
188,974 | import argparse
import glob
import multiprocessing as mp
import os
import sys
import tempfile
import time
import warnings
import cv2
import numpy as np
import tqdm
from detectron2.config import get_cfg
from detectron2.data.detection_utils import read_image
from detectron2.projects.deeplab import add_deeplab_config
from... | null |
188,975 | import copy
import itertools
import logging
import os
from collections import OrderedDict
from typing import Any, Dict, List, Set
import torch
import detectron2.utils.comm as comm
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import get_cfg
from detectron2.data import MetadataCatalog, b... | Create configs and perform basic setups. |
188,976 | import os
from pathlib import Path
import numpy as np
import tqdm
from PIL import Image
def convert(input, output):
img = np.asarray(Image.open(input))
assert img.dtype == np.uint8
img = img - 1 # 0 (ignore) becomes 255. others are shifted by 1
Image.fromarray(img).save(output) | null |
188,978 | import copy
import itertools
import logging
import os
from collections import OrderedDict
from typing import Any, Dict, List, Set
import torch
import detectron2.utils.comm as comm
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import get_cfg
from detectron2.data import MetadataCatalog
fr... | Create configs and perform basic setups. |
188,980 | import contextlib
import copy
import io
import itertools
import json
import logging
import numpy as np
import os
from collections import OrderedDict
import pycocotools.mask as mask_util
import torch
from .datasets.ytvis_api.ytvos import YTVOS
from .datasets.ytvis_api.ytvoseval import YTVOSeval
from tabulate import tabu... | Evaluate the coco results using COCOEval API. |
188,981 | import numpy as np
import logging
import sys
from fvcore.transforms.transform import (
HFlipTransform,
NoOpTransform,
VFlipTransform,
)
from PIL import Image
from detectron2.data import transforms as T
class ResizeShortestEdge(T.Augmentation):
"""
Scale the shorter edge to the given size, with a lim... | null |
188,987 | import os
from .ytvis import (
register_ytvis_instances,
_get_ytvis_2019_instances_meta,
_get_ytvis_2021_instances_meta,
)
_PREDEFINED_SPLITS_YTVIS_2019 = {
"ytvis_2019_train": ("ytvis_2019/train/JPEGImages",
"ytvis_2019/train.json"),
"ytvis_2019_val": ("ytvis_2019/valid/JPE... | null |
188,988 | import os
from .ytvis import (
register_ytvis_instances,
_get_ytvis_2019_instances_meta,
_get_ytvis_2021_instances_meta,
)
_PREDEFINED_SPLITS_YTVIS_2021 = {
"ytvis_2021_train": ("ytvis_2021/train/JPEGImages",
"ytvis_2021/train.json"),
"ytvis_2021_val": ("ytvis_2021/valid/JPE... | null |
188,989 | import itertools
import logging
import torch.utils.data
from detectron2.config import CfgNode, configurable
from detectron2.data.build import (
build_batch_data_loader,
load_proposals_into_dataset,
trivial_batch_collator,
)
from detectron2.data.catalog import DatasetCatalog
from detectron2.data.common impor... | null |
188,990 | import itertools
import logging
import torch.utils.data
from detectron2.config import CfgNode, configurable
from detectron2.data.build import (
build_batch_data_loader,
load_proposals_into_dataset,
trivial_batch_collator,
)
from detectron2.data.catalog import DatasetCatalog
from detectron2.data.common impor... | null |
188,991 | import itertools
import logging
import torch.utils.data
from detectron2.config import CfgNode, configurable
from detectron2.data.build import (
build_batch_data_loader,
load_proposals_into_dataset,
trivial_batch_collator,
)
from detectron2.data.catalog import DatasetCatalog
from detectron2.data.common impor... | Build a dataloader for object detection with some default features. This interface is experimental. Args: dataset (list or torch.utils.data.Dataset): a list of dataset dicts, or a map-style pytorch dataset. They can be obtained by using :func:`DatasetCatalog.get` or :func:`get_detection_dataset_dicts`. mapper (callable... |
188,992 | import itertools
import logging
import torch.utils.data
from detectron2.config import CfgNode, configurable
from detectron2.data.build import (
build_batch_data_loader,
load_proposals_into_dataset,
trivial_batch_collator,
)
from detectron2.data.catalog import DatasetCatalog
from detectron2.data.common impor... | Uses the given `dataset_name` argument (instead of the names in cfg), because the standard practice is to evaluate each test set individually (not combining them). |
188,993 | import itertools
import logging
import torch.utils.data
from detectron2.config import CfgNode, configurable
from detectron2.data.build import (
build_batch_data_loader,
load_proposals_into_dataset,
trivial_batch_collator,
)
from detectron2.data.catalog import DatasetCatalog
from detectron2.data.common impor... | Similar to `build_detection_train_loader`, but uses a batch size of 1. This interface is experimental. Args: dataset (list or torch.utils.data.Dataset): a list of dataset dicts, or a map-style pytorch dataset. They can be obtained by using :func:`DatasetCatalog.get` or :func:`get_detection_dataset_dicts`. mapper (calla... |
188,994 | import logging
import torch
import torch.nn.functional as F
from torch import nn
from detectron2.utils.comm import get_world_size
from detectron2.projects.point_rend.point_features import (
get_uncertain_point_coords_with_randomness,
point_sample,
)
from mask2former.utils.misc import is_dist_avail_and_initializ... | Compute the DICE loss, similar to generalized IOU for masks Args: inputs: A float tensor of arbitrary shape. The predictions for each example. targets: A float tensor with the same shape as inputs. Stores the binary classification label for each element in inputs (0 for the negative class and 1 for the positive class). |
188,995 | import logging
import torch
import torch.nn.functional as F
from torch import nn
from detectron2.utils.comm import get_world_size
from detectron2.projects.point_rend.point_features import (
get_uncertain_point_coords_with_randomness,
point_sample,
)
from mask2former.utils.misc import is_dist_avail_and_initializ... | Args: inputs: A float tensor of arbitrary shape. The predictions for each example. targets: A float tensor with the same shape as inputs. Stores the binary classification label for each element in inputs (0 for the negative class and 1 for the positive class). Returns: Loss tensor |
188,996 | import logging
import torch
import torch.nn.functional as F
from torch import nn
from detectron2.utils.comm import get_world_size
from detectron2.projects.point_rend.point_features import (
get_uncertain_point_coords_with_randomness,
point_sample,
)
from mask2former.utils.misc import is_dist_avail_and_initializ... | We estimate uncerainty as L1 distance between 0.0 and the logit prediction in 'logits' for the foreground class in `classes`. Args: logits (Tensor): A tensor of shape (R, 1, ...) for class-specific or class-agnostic, where R is the total number of predicted masks in all images and C is the number of foreground classes.... |
188,997 | import logging
import fvcore.nn.weight_init as weight_init
from typing import Optional
import torch
from torch import nn, Tensor
from torch.nn import functional as F
from detectron2.config import configurable
from detectron2.layers import Conv2d
from mask2former.modeling.transformer_decoder.maskformer_transformer_decod... | Return an activation function given a string |
189,001 | import logging
from contextlib import contextmanager
from functools import wraps
import torch
from torch.cuda.amp import autocast
def _ignore_torch_cuda_oom():
"""
A context which ignores CUDA OOM exception from pytorch.
"""
try:
yield
except RuntimeError as e:
# NOTE: the string may... | Makes a function retry itself after encountering pytorch's CUDA OOM error. It will first retry after calling `torch.cuda.empty_cache()`. If that still fails, it will then retry by trying to convert inputs to CPUs. In this case, it expects the function to dispatch to CPU implementation. The return values may become CPU ... |
189,002 | import argparse
import json
import os
from collections import defaultdict
from tqdm import tqdm
import numpy as np
import torch
from detectron2.data import MetadataCatalog
from detectron2.data.detection_utils import read_image
from detectron2.utils.file_io import PathManager
from pycocotools import mask as maskUtils
fr... | Creates a parser with some common arguments used by analysis tools. Returns: argparse.ArgumentParser: |
189,003 | import argparse
import json
import os
from collections import defaultdict
from tqdm import tqdm
import numpy as np
import torch
from detectron2.data import MetadataCatalog
from detectron2.data.detection_utils import read_image
from detectron2.utils.file_io import PathManager
from pycocotools import mask as maskUtils
fr... | null |
189,004 | import logging
import numpy as np
from collections import Counter
import tqdm
from fvcore.nn import flop_count_table
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import CfgNode, LazyConfig, get_cfg, instantiate
from detectron2.data import build_detection_test_loader
from detectron2.en... | null |
189,005 | import logging
import numpy as np
from collections import Counter
import tqdm
from fvcore.nn import flop_count_table
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import CfgNode, LazyConfig, get_cfg, instantiate
from detectron2.data import build_detection_test_loader
from detectron2.en... | null |
189,006 | import logging
import numpy as np
from collections import Counter
import tqdm
from fvcore.nn import flop_count_table
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import CfgNode, LazyConfig, get_cfg, instantiate
from detectron2.data import build_detection_test_loader
from detectron2.en... | null |
189,007 | import logging
import numpy as np
from collections import Counter
import tqdm
from fvcore.nn import flop_count_table
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import CfgNode, LazyConfig, get_cfg, instantiate
from detectron2.data import build_detection_test_loader
from detectron2.en... | null |
189,008 | import logging
import numpy as np
from collections import Counter
import tqdm
from fvcore.nn import flop_count_table
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.config import CfgNode, LazyConfig, get_cfg, instantiate
from detectron2.data import build_detection_test_loader
from detectron2.en... | null |
189,009 | import json
import os
import subprocess
import tempfile
import time
from contextlib import contextmanager
from typing import TYPE_CHECKING, List, Literal, Optional, Union
from zoneinfo import ZoneInfo
import requests
from channels.auth import AuthMiddlewareStack
from channels.db import database_sync_to_async
from djang... | null |
189,010 | import json
import os
import subprocess
import tempfile
import time
from contextlib import contextmanager
from typing import TYPE_CHECKING, List, Literal, Optional, Union
from zoneinfo import ZoneInfo
import requests
from channels.auth import AuthMiddlewareStack
from channels.db import database_sync_to_async
from djang... | null |
189,011 | import json
import os
import subprocess
import tempfile
import time
from contextlib import contextmanager
from typing import TYPE_CHECKING, List, Literal, Optional, Union
from zoneinfo import ZoneInfo
import requests
from channels.auth import AuthMiddlewareStack
from channels.db import database_sync_to_async
from djang... | null |
189,012 | import json
import os
import subprocess
import tempfile
import time
from contextlib import contextmanager
from typing import TYPE_CHECKING, List, Literal, Optional, Union
from zoneinfo import ZoneInfo
import requests
from channels.auth import AuthMiddlewareStack
from channels.db import database_sync_to_async
from djang... | null |
189,013 | import json
import os
import subprocess
import tempfile
import time
from contextlib import contextmanager
from typing import TYPE_CHECKING, List, Literal, Optional, Union
from zoneinfo import ZoneInfo
import requests
from channels.auth import AuthMiddlewareStack
from channels.db import database_sync_to_async
from djang... | null |
189,014 | import json
import os
import subprocess
import tempfile
import time
from contextlib import contextmanager
from typing import TYPE_CHECKING, List, Literal, Optional, Union
from zoneinfo import ZoneInfo
import requests
from channels.auth import AuthMiddlewareStack
from channels.db import database_sync_to_async
from djang... | null |
189,015 | import json
import os
import subprocess
import tempfile
import time
from contextlib import contextmanager
from typing import TYPE_CHECKING, List, Literal, Optional, Union
from zoneinfo import ZoneInfo
import requests
from channels.auth import AuthMiddlewareStack
from channels.db import database_sync_to_async
from djang... | null |
189,016 | import json
import os
import subprocess
import tempfile
import time
from contextlib import contextmanager
from typing import TYPE_CHECKING, List, Literal, Optional, Union
from zoneinfo import ZoneInfo
import requests
from channels.auth import AuthMiddlewareStack
from channels.db import database_sync_to_async
from djang... | null |
189,017 | import json
import os
import subprocess
import tempfile
import time
from contextlib import contextmanager
from typing import TYPE_CHECKING, List, Literal, Optional, Union
from zoneinfo import ZoneInfo
import requests
from channels.auth import AuthMiddlewareStack
from channels.db import database_sync_to_async
from djang... | null |
189,018 | import json
import os
import subprocess
import tempfile
import time
from contextlib import contextmanager
from typing import TYPE_CHECKING, List, Literal, Optional, Union
from zoneinfo import ZoneInfo
import requests
from channels.auth import AuthMiddlewareStack
from channels.db import database_sync_to_async
from djang... | null |
189,019 | import json
import os
import subprocess
import tempfile
import time
from contextlib import contextmanager
from typing import TYPE_CHECKING, List, Literal, Optional, Union
from zoneinfo import ZoneInfo
import requests
from channels.auth import AuthMiddlewareStack
from channels.db import database_sync_to_async
from djang... | null |
189,020 | import json
import os
import subprocess
import tempfile
import time
from contextlib import contextmanager
from typing import TYPE_CHECKING, List, Literal, Optional, Union
from zoneinfo import ZoneInfo
import requests
from channels.auth import AuthMiddlewareStack
from channels.db import database_sync_to_async
from djang... | null |
189,021 | import json
import os
import subprocess
import tempfile
import time
from contextlib import contextmanager
from typing import TYPE_CHECKING, List, Literal, Optional, Union
from zoneinfo import ZoneInfo
import requests
from channels.auth import AuthMiddlewareStack
from channels.db import database_sync_to_async
from djang... | null |
189,022 | import json
import os
import subprocess
import tempfile
import time
from contextlib import contextmanager
from typing import TYPE_CHECKING, List, Literal, Optional, Union
from zoneinfo import ZoneInfo
import requests
from channels.auth import AuthMiddlewareStack
from channels.db import database_sync_to_async
from djang... | null |
189,023 | from __future__ import absolute_import, unicode_literals
import os
from datetime import timedelta
from celery import Celery
from celery.schedules import crontab
from django.conf import settings
def debug_task(self):
print("Request: {0!r}".format(self.request)) | null |
189,024 | from typing import TYPE_CHECKING
from django.db.models import Q
from django.shortcuts import get_object_or_404
from agents.models import Agent
from tacticalrmm.constants import AGENT_DEFER
def _has_perm(request, perm: str) -> bool:
if request.user.is_superuser or (
request.user.role and getattr(request.use... | null |
189,025 | from typing import TYPE_CHECKING
from django.db.models import Q
from django.shortcuts import get_object_or_404
from agents.models import Agent
from tacticalrmm.constants import AGENT_DEFER
class Agent(BaseAuditModel):
class Meta:
indexes = [
models.Index(fields=["monitoring_type"]),
]
... | null |
189,026 | from typing import TYPE_CHECKING
from django.db.models import Q
from django.shortcuts import get_object_or_404
from agents.models import Agent
from tacticalrmm.constants import AGENT_DEFER
class Client(BaseAuditModel):
def save(self, *args, **kwargs):
def __str__(self):
def live_agent_count(self) -> int... | null |
189,027 | from typing import TYPE_CHECKING
from django.db.models import Q
from django.shortcuts import get_object_or_404
from agents.models import Agent
from tacticalrmm.constants import AGENT_DEFER
class Site(BaseAuditModel):
objects = PermissionQuerySet.as_manager()
client = models.ForeignKey(Client, related_name="si... | null |
189,028 | from typing import TYPE_CHECKING
from django.db.models import Q
from django.shortcuts import get_object_or_404
from agents.models import Agent
from tacticalrmm.constants import AGENT_DEFER
class Agent(BaseAuditModel):
class Meta:
indexes = [
models.Index(fields=["monitoring_type"]),
]
... | null |
189,029 | import threading
from contextlib import suppress
from typing import Any, Dict, Optional
from django.conf import settings
from python_ipware import IpWare
from rest_framework.exceptions import AuthenticationFailed
from tacticalrmm.constants import DEMO_NOT_ALLOWED
from tacticalrmm.helpers import notify_error
request_loc... | null |
189,030 | import threading
from contextlib import suppress
from typing import Any, Dict, Optional
from django.conf import settings
from python_ipware import IpWare
from rest_framework.exceptions import AuthenticationFailed
from tacticalrmm.constants import DEMO_NOT_ALLOWED
from tacticalrmm.helpers import notify_error
request_loc... | null |
189,031 | import json
import random
from django.conf import settings
from rest_framework.response import Response
SVC_FILE = settings.BASE_DIR.joinpath("tacticalrmm/test_data/winsvcs.json")
def demo_get_services():
with open(SVC_FILE, "r") as f:
svcs = json.load(f)
return Response(svcs) | null |
189,032 | import json
import random
from django.conf import settings
from rest_framework.response import Response
PROCS_FILE = settings.BASE_DIR.joinpath("tacticalrmm/test_data/procs.json")
def demo_get_procs():
with open(PROCS_FILE, "r") as f:
procs = json.load(f)
ret = []
for proc in procs:
tmp = ... | null |
189,033 | import json
import random
from django.conf import settings
from rest_framework.response import Response
EVT_LOG_FILE = settings.BASE_DIR.joinpath("tacticalrmm/test_data/appeventlog.json")
def demo_get_eventlog():
with open(EVT_LOG_FILE, "r") as f:
logs = json.load(f)
return Response(logs) | null |
189,034 | import asyncio
from typing import TYPE_CHECKING, Any
import msgpack
import nats
from nats.errors import TimeoutError as NatsTimeout
from tacticalrmm.exceptions import NatsDown
from tacticalrmm.helpers import setup_nats_options
async def _anats_message(*, nc: "NClient", subject: str, data: "NATS_DATA") -> None:
try:... | Fire and forget |
189,035 | import asyncio
from typing import TYPE_CHECKING, Any
import msgpack
import nats
from nats.errors import TimeoutError as NatsTimeout
from tacticalrmm.exceptions import NatsDown
from tacticalrmm.helpers import setup_nats_options
NATS_DATA = dict[str, Any]
async def a_nats_cmd(
*, nc: "NClient", sub: str, data: NATS_... | null |
189,036 | import os
import sys
from contextlib import suppress
from datetime import timedelta
from pathlib import Path
LOG_DIR = os.path.join(BASE_DIR, "tacticalrmm/private/log")
TRMM_LOG_TO = "file"
if "GHACTIONS" in os.environ:
DEBUG = False
ADMIN_ENABLED = False
DEMO = False
import warnings
from django.core.cache... | null |
189,037 | import os
import random
import secrets
import string
from pathlib import Path
from typing import TYPE_CHECKING, Any
from urllib.parse import urlparse
from zoneinfo import ZoneInfo
from cryptography import x509
from django.conf import settings
from django.utils import timezone as djangotime
from rest_framework import st... | null |
189,038 | import os
import random
import secrets
import string
from pathlib import Path
from typing import TYPE_CHECKING, Any
from urllib.parse import urlparse
from zoneinfo import ZoneInfo
from cryptography import x509
from django.conf import settings
from django.utils import timezone as djangotime
from rest_framework import st... | datetime_obj must be a naive datetime |
189,039 | import os
import random
import secrets
import string
from pathlib import Path
from typing import TYPE_CHECKING, Any
from urllib.parse import urlparse
from zoneinfo import ZoneInfo
from cryptography import x509
from django.conf import settings
from django.utils import timezone as djangotime
from rest_framework import st... | null |
189,040 | import os
import random
import secrets
import string
from pathlib import Path
from typing import TYPE_CHECKING, Any
from urllib.parse import urlparse
from zoneinfo import ZoneInfo
from cryptography import x509
from django.conf import settings
from django.utils import timezone as djangotime
from rest_framework import st... | Input is milliseconds. Returns float truncated to 2 decimals. |
189,041 | import os
import random
import secrets
import string
from pathlib import Path
from typing import TYPE_CHECKING, Any
from urllib.parse import urlparse
from zoneinfo import ZoneInfo
from cryptography import x509
from django.conf import settings
from django.utils import timezone as djangotime
from rest_framework import st... | null |
189,042 | import os
import random
import secrets
import string
from pathlib import Path
from typing import TYPE_CHECKING, Any
from urllib.parse import urlparse
from zoneinfo import ZoneInfo
from cryptography import x509
from django.conf import settings
from django.utils import timezone as djangotime
from rest_framework import st... | null |
189,043 | import os
import random
import secrets
import string
from pathlib import Path
from typing import TYPE_CHECKING, Any
from urllib.parse import urlparse
from zoneinfo import ZoneInfo
from cryptography import x509
from django.conf import settings
from django.utils import timezone as djangotime
from rest_framework import st... | null |
189,044 | from django.utils import timezone as djangotime
from django.utils.translation import gettext_lazy as _
from rest_framework import exceptions
from rest_framework.authentication import HTTP_HEADER_ENCODING, BaseAuthentication
from accounts.models import APIKey
The provided code snippet includes necessary dependencies fo... | Return request's 'Authorization:' header, as a bytestring. Hide some test client ickyness where the header can be unicode. |
189,045 | import datetime
import inspect
import json
import re
from enum import Enum
from typing import Any, Dict, List, Literal, Optional, Tuple, Type, Union, cast
from zoneinfo import ZoneInfo
import yaml
from django.apps import apps
from jinja2 import Environment, FunctionLoader
from rest_framework.serializers import Validati... | null |
189,046 | import datetime
import inspect
import json
import re
from enum import Enum
from typing import Any, Dict, List, Literal, Optional, Tuple, Type, Union, cast
from zoneinfo import ZoneInfo
import yaml
from django.apps import apps
from jinja2 import Environment, FunctionLoader
from rest_framework.serializers import Validati... | null |
189,047 | import datetime
import inspect
import json
import re
from enum import Enum
from typing import Any, Dict, List, Literal, Optional, Tuple, Type, Union, cast
from zoneinfo import ZoneInfo
import yaml
from django.apps import apps
from jinja2 import Environment, FunctionLoader
from rest_framework.serializers import Validati... | null |
189,048 | import datetime
import inspect
import json
import re
from enum import Enum
from typing import Any, Dict, List, Literal, Optional, Tuple, Type, Union, cast
from zoneinfo import ZoneInfo
import yaml
from django.apps import apps
from jinja2 import Environment, FunctionLoader
from rest_framework.serializers import Validati... | null |
189,049 | import datetime
import inspect
import json
import re
from enum import Enum
from typing import Any, Dict, List, Literal, Optional, Tuple, Type, Union, cast
from zoneinfo import ZoneInfo
import yaml
from django.apps import apps
from jinja2 import Environment, FunctionLoader
from rest_framework.serializers import Validati... | null |
189,050 | import datetime
import inspect
import json
import re
from enum import Enum
from typing import Any, Dict, List, Literal, Optional, Tuple, Type, Union, cast
from zoneinfo import ZoneInfo
import yaml
from django.apps import apps
from jinja2 import Environment, FunctionLoader
from rest_framework.serializers import Validati... | null |
189,051 | import datetime
import inspect
import json
import re
from enum import Enum
from typing import Any, Dict, List, Literal, Optional, Tuple, Type, Union, cast
from zoneinfo import ZoneInfo
import yaml
from django.apps import apps
from jinja2 import Environment, FunctionLoader
from rest_framework.serializers import Validati... | null |
189,052 | import datetime
import inspect
import json
import re
from enum import Enum
from typing import Any, Dict, List, Literal, Optional, Tuple, Type, Union, cast
from zoneinfo import ZoneInfo
import yaml
from django.apps import apps
from jinja2 import Environment, FunctionLoader
from rest_framework.serializers import Validati... | null |
189,053 | import datetime
import inspect
import json
import re
from enum import Enum
from typing import Any, Dict, List, Literal, Optional, Tuple, Type, Union, cast
from zoneinfo import ZoneInfo
import yaml
from django.apps import apps
from jinja2 import Environment, FunctionLoader
from rest_framework.serializers import Validati... | null |
189,054 | import re
from typing import Any, List
from markdown import Extension, Markdown
from markdown.postprocessors import Postprocessor
from markdown.preprocessors import Preprocessor
class IgnoreJinjaExtension(Extension):
"""Extension for looking up {% block tag %}"""
def extendMarkdown(self, md: Markdown) -> None:
... | set up extension. |
189,055 | import json
from typing import TYPE_CHECKING, Any, Dict, List, Tuple
from django.apps import apps
from django.conf import settings as djangosettings
from django.core.management.base import BaseCommand
from ...constants import REPORTING_MODELS
def traverse_model_fields(
*, model: "Model", prefix: str = "", depth: in... | null |
189,056 | import os
import shutil
from django.core.files.storage import FileSystemStorage
from .settings import settings
report_assets_fs = ReportAssetStorage(
location=settings.REPORTING_ASSETS_BASE_PATH,
base_url=f"{settings.REPORTING_BASE_URL}/reporting/assets/",
)
def get_report_assets_fs():
return report_assets... | null |
189,057 | from contextlib import suppress
from zoneinfo import ZoneInfo
import validators
def as_tz(date_obj, tz, format="%b %d %Y, %I:%M %p"):
return date_obj.astimezone(ZoneInfo(tz)).strftime(format) | null |
189,058 | from contextlib import suppress
from zoneinfo import ZoneInfo
import validators
def local_ips(wmi_detail):
ret = []
with suppress(Exception):
ips = wmi_detail["network_config"]
for i in ips:
try:
addr = [x["IPAddress"] for x in i if "IPAddress" in x][0]
e... | null |
189,059 | import json
import os
import shutil
import uuid
from typing import Any, Dict, List, Literal, Optional, Union
import requests
from django.conf import settings as djangosettings
from django.core.exceptions import (
ObjectDoesNotExist,
PermissionDenied,
SuspiciousFileOperation,
)
from django.core.files.base im... | null |
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