repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
maxhumber/hickory | https://github.com/maxhumber/hickory/blob/637ff813685e74f89afa11c5b3b17453f464c0c3/tests/linux/test_every_systemd.py | tests/linux/test_every_systemd.py | import pytest
from hickory.every_systemd import *
def test_interval_to_on_calendar_strings():
intervals = ["10seconds", "10minutes", "10hours"]
result = [interval_to_on_calendar_strings(i) for i in intervals]
assert result == [["*:*:0/10"], ["*:0/10"], ["0/10:00:00"]]
def test_fail_interval_to_on_calen... | python | MIT | 637ff813685e74f89afa11c5b3b17453f464c0c3 | 2026-01-05T07:09:39.614467Z | false |
maxhumber/hickory | https://github.com/maxhumber/hickory/blob/637ff813685e74f89afa11c5b3b17453f464c0c3/tests/linux/test_cli.py | tests/linux/test_cli.py | import os
import subprocess
import sys
import time
from pathlib import Path
import pytest
os.chdir("tests")
def setup():
foo = """import datetime
import time
stamp = datetime.datetime.now().strftime("%H:%M:%S")
time.sleep(5)
print(f"Foo - {stamp} + 5 seconds")"""
with open("foo.py", "w") as f:
f.w... | python | MIT | 637ff813685e74f89afa11c5b3b17453f464c0c3 | 2026-01-05T07:09:39.614467Z | false |
maxhumber/hickory | https://github.com/maxhumber/hickory/blob/637ff813685e74f89afa11c5b3b17453f464c0c3/hickory/launchd.py | hickory/launchd.py | import plistlib
import re
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from .constants import HICKORY_SERVICE, LAUNCHD_PATH
from .every_launchd import every
from .format_status import format_status
from .utils import run
def _build_dict(
label: str, working_directory: str, which_p... | python | MIT | 637ff813685e74f89afa11c5b3b17453f464c0c3 | 2026-01-05T07:09:39.614467Z | false |
maxhumber/hickory | https://github.com/maxhumber/hickory/blob/637ff813685e74f89afa11c5b3b17453f464c0c3/hickory/every_launchd.py | hickory/every_launchd.py | import re
from typing import Any, Dict, List, Union
from .utils import (
HickoryError,
contains_number,
disjoin,
interval_to_tuple,
strip_number,
timestamp_to_tuple,
)
def interval_to_seconds(interval: str) -> int:
value, unit = interval_to_tuple(interval)
if unit in ["s", "sec", "sec... | python | MIT | 637ff813685e74f89afa11c5b3b17453f464c0c3 | 2026-01-05T07:09:39.614467Z | false |
maxhumber/hickory | https://github.com/maxhumber/hickory/blob/637ff813685e74f89afa11c5b3b17453f464c0c3/hickory/cli.py | hickory/cli.py | import argparse
import sys
from pathlib import Path
from uuid import uuid4
from .colors import Fore
from .constants import HICKORY_SERVICE
from .launchd import kill_launchd, schedule_launchd, status_launchd
from .systemd import kill_systemd, schedule_systemd, status_systemd
from .utils import pretty_print_exception
... | python | MIT | 637ff813685e74f89afa11c5b3b17453f464c0c3 | 2026-01-05T07:09:39.614467Z | false |
maxhumber/hickory | https://github.com/maxhumber/hickory/blob/637ff813685e74f89afa11c5b3b17453f464c0c3/hickory/constants.py | hickory/constants.py | from pathlib import Path
HICKORY_SERVICE = "hickory"
HOME = str(Path.home())
LAUNCHD_PATH = f"{HOME}/Library/LaunchAgents"
SYSTEMD_PATH = f"{HOME}/.config/systemd/user"
| python | MIT | 637ff813685e74f89afa11c5b3b17453f464c0c3 | 2026-01-05T07:09:39.614467Z | false |
maxhumber/hickory | https://github.com/maxhumber/hickory/blob/637ff813685e74f89afa11c5b3b17453f464c0c3/hickory/__main__.py | hickory/__main__.py | from .cli import main
main()
| python | MIT | 637ff813685e74f89afa11c5b3b17453f464c0c3 | 2026-01-05T07:09:39.614467Z | false |
maxhumber/hickory | https://github.com/maxhumber/hickory/blob/637ff813685e74f89afa11c5b3b17453f464c0c3/hickory/systemd.py | hickory/systemd.py | import io
import re
import subprocess
import sys
from configparser import ConfigParser
from pathlib import Path
from typing import Any, Dict, List, Tuple
from .constants import HICKORY_SERVICE, SYSTEMD_PATH
from .every_systemd import every
from .format_status import format_status
from .utils import run
HOME = str(Pat... | python | MIT | 637ff813685e74f89afa11c5b3b17453f464c0c3 | 2026-01-05T07:09:39.614467Z | false |
maxhumber/hickory | https://github.com/maxhumber/hickory/blob/637ff813685e74f89afa11c5b3b17453f464c0c3/hickory/utils.py | hickory/utils.py | import re
import sys
import traceback
import subprocess
from itertools import product
from typing import List, Optional, Tuple, Type
from .colors import Fore, Style
class HickoryError(Exception):
pass
def run(command: str, output: bool = True, silent: bool = False) -> Optional[str]:
if silent:
comma... | python | MIT | 637ff813685e74f89afa11c5b3b17453f464c0c3 | 2026-01-05T07:09:39.614467Z | false |
maxhumber/hickory | https://github.com/maxhumber/hickory/blob/637ff813685e74f89afa11c5b3b17453f464c0c3/hickory/__init__.py | hickory/__init__.py | python | MIT | 637ff813685e74f89afa11c5b3b17453f464c0c3 | 2026-01-05T07:09:39.614467Z | false | |
maxhumber/hickory | https://github.com/maxhumber/hickory/blob/637ff813685e74f89afa11c5b3b17453f464c0c3/hickory/every_systemd.py | hickory/every_systemd.py | import re
from typing import List
from .utils import (
HickoryError,
contains_number,
disjoin,
interval_to_tuple,
strip_number,
timestamp_to_tuple,
)
def interval_to_on_calendar_strings(interval: str) -> List[str]:
value, unit = interval_to_tuple(interval)
if unit in ["s", "sec", "sec... | python | MIT | 637ff813685e74f89afa11c5b3b17453f464c0c3 | 2026-01-05T07:09:39.614467Z | false |
maxhumber/hickory | https://github.com/maxhumber/hickory/blob/637ff813685e74f89afa11c5b3b17453f464c0c3/hickory/format_status.py | hickory/format_status.py | from typing import Any, Dict, List, Union
def _find_maxlens(info_dicts: List[Dict[str, Any]]) -> Dict[str, int]:
keys = info_dicts[0].keys()
maxlens = {key: len(key) for key in keys}
for info in info_dicts:
for key in keys:
current = maxlens[key]
new = len(str(info[key]))
... | python | MIT | 637ff813685e74f89afa11c5b3b17453f464c0c3 | 2026-01-05T07:09:39.614467Z | false |
maxhumber/hickory | https://github.com/maxhumber/hickory/blob/637ff813685e74f89afa11c5b3b17453f464c0c3/hickory/colors.py | hickory/colors.py | from typing import Tuple, Union
class Color:
"""
A composable coloring object.
RED = Color(91)
RED_FOREGROUND = RED
BLUE_BACKGROUND = Color(104)
# Sum Colors to combine them:
RED_FORE_BLUE_BACK = RED_FOREGROUND + BLUE_BACKGROUND
# Apply it to strings about to be printed
>>> pri... | python | MIT | 637ff813685e74f89afa11c5b3b17453f464c0c3 | 2026-01-05T07:09:39.614467Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/train.py | train.py | import os.path
import typing
import typing
import warnings
from pprint import pprint
import pytorch_lightning as pl
import torch
from pytorch_lightning.callbacks import RichModelSummary
from pytorch_lightning.profilers import AdvancedProfiler, PyTorchProfiler
from pytorch_lightning.strategies import DDPStrategy
from t... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/inference.py | inference.py | import glob
import os.path
from pprint import pprint
import warnings
import numpy as np
import pytorch_lightning as pl
import torch
from core import LightningSystem
from utils.config import read_nested_yaml
torch.set_float32_matmul_precision("medium")
import torchaudio as ta
from typing import List, Optional, Dict, ... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/benchmark.py | benchmark.py | import glob
import json
from fvcore.nn import FlopCountAnalysis, flop_count_table
import os.path
import typing
import typing
import warnings
from pprint import pprint
import numpy as np
import pytorch_lightning as pl
import torch
from pytorch_lightning.callbacks import RichModelSummary
from pytorch_lightning.profiler... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/test.py | test.py | import os.path
import typing
import typing
import warnings
from pprint import pprint
import pytorch_lightning as pl
import torch
from pytorch_lightning.callbacks import RichModelSummary
from pytorch_lightning.profilers import AdvancedProfiler, PyTorchProfiler
from pytorch_lightning.strategies import DDPStrategy
from t... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/utils/_types.py | utils/_types.py | from typing import Any, Dict, List, Optional, Union
Primitive = Union[str, float, int, bool]
DictValues = Union[Primitive, List[Primitive]]
StringKeyedNestedDict = Dict[str, Optional[Union[Any, 'StringKeyedNestedDict']]]
| python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/utils/config.py | utils/config.py | from types import ModuleType
from typing import Any, List, Union
import yaml
from pytorch_lightning import callbacks, loggers
from utils._types import StringKeyedNestedDict
import os
def read_yaml(path: str) -> StringKeyedNestedDict:
with open(path, "r") as f:
config = yaml.safe_load(f)
return confi... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/utils/__init__.py | utils/__init__.py | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false | |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/__init__.py | core/__init__.py | import os.path
from collections import defaultdict
from itertools import chain, combinations
from typing import (
Any,
Dict,
Iterator,
Mapping, Optional,
Tuple, Type,
TypedDict
)
import pytorch_lightning as pl
import torch
import torchaudio as ta
import torchmetrics as tm
from asteroid import l... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/loss/_multistem.py | core/loss/_multistem.py | from typing import Any, Dict
import torch
from asteroid import losses as asteroid_losses
from torch import nn
from torch.nn.modules.loss import _Loss
from . import snr
def parse_loss(name: str, kwargs: Dict[str, Any]) -> _Loss:
for module in [nn.modules.loss, snr, asteroid_losses, asteroid_losses.sdr]:
... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/loss/_timefreq.py | core/loss/_timefreq.py | from typing import Any, Dict, Optional
import torch
from torch import nn
from torch.nn.modules.loss import _Loss
from core.loss._multistem import MultiStemWrapper
from core.loss._complex import ReImL1Loss, ReImL2Loss, ReImLossWrapper
from core.loss.snr import SignalNoisePNormRatio
class TimeFreqWrapper(_Loss):
d... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/loss/_complex.py | core/loss/_complex.py | from typing import Any
import torch
from torch import nn
from torch.nn.modules import loss as _loss
from torch.nn.modules.loss import _Loss
class ReImLossWrapper(_Loss):
def __init__(self, module: _Loss) -> None:
super().__init__()
self.module = module
def forward(
self,
... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/loss/snr.py | core/loss/snr.py | import torch
from torch.nn.modules.loss import _Loss
from torch.nn import functional as F
class SignalNoisePNormRatio(_Loss):
def __init__(
self,
p: float = 1.0,
scale_invariant: bool = False,
zero_mean: bool = False,
take_log: bool = True,
re... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/loss/__init__.py | core/loss/__init__.py | from ._multistem import MultiStemWrapperFromConfig
from ._timefreq import ReImL1Loss, ReImL2Loss, TimeFreqL1Loss, TimeFreqL2Loss, TimeFreqSignalNoisePNormRatioLoss
| python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/model/__init__.py | core/model/__init__.py | from .bsrnn.wrapper import (
MultiMaskMultiSourceBandSplitRNN,
MultiMaskMultiSourceBandSplitTransformer,
MultiMaskMultiSourceBandSplitConv,
PatchingMaskMultiSourceBandSplitRNN,
SingleMaskMultiSourceBandSplitRNN,
SingleMaskMultiSourceBandSplitTransformer
)
from .oracle.idealmask import IdealRati... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/model/_spectral.py | core/model/_spectral.py | from typing import Dict, Optional
import torch
import torchaudio as ta
from torch import nn
class _SpectralComponent(nn.Module):
def __init__(
self,
n_fft: int = 2048,
win_length: Optional[int] = 2048,
hop_length: int = 512,
window_fn: str = "hann_windo... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/model/oracle/idealmask.py | core/model/oracle/idealmask.py | from typing import Dict, List, Optional
import torch
from core.model._spectral import _SpectralComponent
class BaseIdealMask(
_SpectralComponent
):
def __init__(
self,
stems: List[str],
fs: int = 44100,
n_fft: int = 2048,
win_length: Optional[i... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/model/demucs/hdemucs.py | core/model/demucs/hdemucs.py | from typing import Dict, List
import torch
from torch import nn
import torchaudio as ta
class HDemucsWrapper(nn.Module):
def __init__(
self,
stems: List[str],
fs: int = 44100,
audio_channels: int = 1,
channels: int = 48,
growth: int = 2,
... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/model/umx/umx.py | core/model/umx/umx.py | from typing import Dict
import openunmix
import openunmix as umx
import torch
from openunmix.filtering import wiener
from torch import nn
from torch.nn import functional as F
from openunmix.model import Separator
class OpenUnmix(nn.Module):
"""OpenUnmix Core spectrogram based separation module.
Args:
... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/model/bsrnn/bandsplit.py | core/model/bsrnn/bandsplit.py | from typing import List, Tuple
import torch
from torch import nn
from core.model.bsrnn.utils import (
band_widths_from_specs,
check_no_gap,
check_no_overlap,
check_nonzero_bandwidth,
)
class NormFC(nn.Module):
def __init__(
self,
emb_dim: int,
bandwidth: int,
... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/model/bsrnn/core.py | core/model/bsrnn/core.py | from typing import Dict, List, Optional, Tuple
import torch
from torch import nn
from torch.nn import functional as F
from core.model.bsrnn import BandsplitCoreBase
from core.model.bsrnn.bandsplit import BandSplitModule
from core.model.bsrnn.maskestim import (
MaskEstimationModule,
OverlappingMaskEstimationMo... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/model/bsrnn/utils.py | core/model/bsrnn/utils.py | import os
from abc import abstractmethod
from typing import Any, Callable
import numpy as np
import torch
from librosa import hz_to_midi, midi_to_hz
from torch import Tensor
from torchaudio import functional as taF
from spafe.fbanks import bark_fbanks
from spafe.utils.converters import erb2hz, hz2bark, hz2erb
from tor... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/model/bsrnn/wrapper.py | core/model/bsrnn/wrapper.py | from pprint import pprint
from typing import Dict, List, Optional, Tuple, Union
import torch
from torch import nn
from core.model._spectral import _SpectralComponent
from core.model.bsrnn.utils import (
BarkBandsplitSpecification, BassBandsplitSpecification,
DrumBandsplitSpecification,
EquivalentRectangul... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/model/bsrnn/__init__.py | core/model/bsrnn/__init__.py | from abc import ABC
from typing import Iterable, Mapping, Union
from torch import nn
from core.model.bsrnn.bandsplit import BandSplitModule
from core.model.bsrnn.tfmodel import (
SeqBandModellingModule,
TransformerTimeFreqModule,
)
class BandsplitCoreBase(nn.Module, ABC):
band_split: nn.Module
tf_mo... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/model/bsrnn/maskestim.py | core/model/bsrnn/maskestim.py | import warnings
from typing import Dict, List, Optional, Tuple, Type
import torch
from torch import nn
from torch.nn.modules import activation
from core.model.bsrnn.utils import (
band_widths_from_specs,
check_no_gap,
check_no_overlap,
check_nonzero_bandwidth,
)
class BaseNormMLP(nn.Module):
def... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/model/bsrnn/tfmodel.py | core/model/bsrnn/tfmodel.py | import warnings
import torch
from torch import nn
from torch.nn import functional as F
from torch.nn.modules import rnn
import torch.backends.cuda
class TimeFrequencyModellingModule(nn.Module):
def __init__(self) -> None:
super().__init__()
class ResidualRNN(nn.Module):
def __init__(
s... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/metrics/snr.py | core/metrics/snr.py | from typing import Any, Callable
import numpy as np
import torch
import torchmetrics as tm
from torch._C import _LinAlgError
from torchmetrics import functional as tmF
class SafeSignalDistortionRatio(tm.SignalDistortionRatio):
def __init__(self, **kwargs) -> None:
super().__init__(**kwargs)
def upda... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/metrics/__init__.py | core/metrics/__init__.py | from .snr import (
ChunkMedianScaleInvariantSignalDistortionRatio,
ChunkMedianScaleInvariantSignalNoiseRatio,
ChunkMedianSignalDistortionRatio,
ChunkMedianSignalNoiseRatio,
SafeSignalDistortionRatio,
)
# from .mushra import EstimatedMushraScore
| python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/metrics/_squim.py | core/metrics/_squim.py | from dataclasses import dataclass
from torchaudio._internal import load_state_dict_from_url
import math
from typing import List, Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
def transform_wb_pesq_range(x: float) -> float:
"""The metric defined by ITU-T P.862 is often calle... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/utils/audio.py | core/utils/audio.py | from collections import defaultdict
from tqdm import tqdm
from typing import Callable, Dict, List, Optional, Tuple
import numpy as np
import torch
from torch import nn
from torch.nn import functional as F
@torch.jit.script
def merge(
combined: torch.Tensor,
original_batch_size: int,
n_channe... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/utils/__init__.py | core/utils/__init__.py | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false | |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/data/_types.py | core/data/_types.py | from typing import Dict, Sequence, TypedDict
import torch
AudioDict = Dict[str, torch.Tensor]
DataDict = TypedDict('DataDict', {'audio': AudioDict, 'track': str})
BatchedDataDict = TypedDict(
'BatchedDataDict',
{'audio': AudioDict, 'track': Sequence[str]}
)
class DataDictWithLanguage(TypedDict):
... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/data/augmentation.py | core/data/augmentation.py | from abc import ABC
from typing import Any, Dict, Union
import torch
import torch_audiomentations as tam
from torch import nn
from core.data._types import BatchedDataDict, DataDict
class BaseAugmentor(nn.Module, ABC):
def forward(self, item: Union[DataDict, BatchedDataDict]) -> Union[
DataDict, BatchedD... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/data/augmented.py | core/data/augmented.py | import warnings
from typing import Dict, Optional, Union
import torch
from torch import nn
from torch.utils import data
class AugmentedDataset(data.Dataset):
def __init__(
self,
dataset: data.Dataset,
augmentation: nn.Module = nn.Identity(),
target_length: Optional... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/data/__init__.py | core/data/__init__.py | from .dnr.datamodule import DivideAndRemasterDataModule
from .musdb.datamodule import MUSDB18DataModule | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/data/base.py | core/data/base.py | import os
from abc import ABC, abstractmethod
from typing import Any, Dict, List, Optional
import numpy as np
import pedalboard as pb
import torch
import torchaudio as ta
from torch.utils import data
from core.data._types import AudioDict, DataDict
class BaseSourceSeparationDataset(data.Dataset, ABC):
def __ini... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/data/musdb/datamodule.py | core/data/musdb/datamodule.py | import os.path
from typing import Mapping, Optional
import pytorch_lightning as pl
from core.data.musdb.dataset import (
MUSDB18BaseDataset,
MUSDB18FullTrackDataset,
MUSDB18SadDataset,
MUSDB18SadOnTheFlyAugmentedDataset
)
def MUSDB18DataModule(
data_root: str = "$DATA_ROOT/MUSDB18/HQ",
... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/data/musdb/dataset.py | core/data/musdb/dataset.py | import os
from abc import ABC
from typing import List, Optional, Tuple
import numpy as np
import torch
import torchaudio as ta
from torch.utils import data
from core.data._types import AudioDict, DataDict
from core.data.base import BaseSourceSeparationDataset
class MUSDB18BaseDataset(BaseSourceSeparationDataset, AB... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/data/musdb/__init__.py | core/data/musdb/__init__.py | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false | |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/data/musdb/preprocess.py | core/data/musdb/preprocess.py | import glob
import os
import numpy as np
import torch
import torchaudio as ta
from torch import nn
from torch.nn import functional as F
from tqdm.contrib.concurrent import process_map
from core.data._types import DataDict
from core.data.musdb.dataset import MUSDB18FullTrackDataset
import pyloudnorm as pyln
class Sou... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/data/dnr/datamodule.py | core/data/dnr/datamodule.py | import os
from typing import Mapping, Optional
import pytorch_lightning as pl
from .dataset import (
DivideAndRemasterDataset,
DivideAndRemasterDeterministicChunkDataset,
DivideAndRemasterRandomChunkDataset,
DivideAndRemasterRandomChunkDatasetWithSpeechReverb
)
def DivideAndRemasterDataModule(
... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/data/dnr/dataset.py | core/data/dnr/dataset.py | import os
from abc import ABC
from typing import Any, Dict, List, Optional
import numpy as np
import pedalboard as pb
import torch
import torchaudio as ta
from torch.utils import data
from core.data._types import AudioDict, DataDict
from core.data.base import BaseSourceSeparationDataset
class DivideAndRemasterBaseD... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/data/dnr/__init__.py | core/data/dnr/__init__.py | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false | |
kwatcharasupat/bandit | https://github.com/kwatcharasupat/bandit/blob/840d5eb9ede59d64569c423244547e58cb00f647/core/data/dnr/preprocess.py | core/data/dnr/preprocess.py | import glob
import os
from typing import Tuple
import numpy as np
import torchaudio as ta
from tqdm.contrib.concurrent import process_map
def process_one(inputs: Tuple[str, str, int]) -> None:
infile, outfile, target_fs = inputs
dir = os.path.dirname(outfile)
os.makedirs(dir, exist_ok=True)
data, f... | python | Apache-2.0 | 840d5eb9ede59d64569c423244547e58cb00f647 | 2026-01-05T07:09:41.880199Z | false |
chflame163/ComfyUI_OmniGen_Wrapper | https://github.com/chflame163/ComfyUI_OmniGen_Wrapper/blob/eef733050b60c23bf6d6010693fdb2bb04cbd0fd/__init__.py | __init__.py | import importlib.util
import glob
import os
import sys
import __main__
import shutil
NODE_CLASS_MAPPINGS = {}
NODE_DISPLAY_NAME_MAPPINGS = {}
python = sys.executable
def get_ext_dir(subpath=None, mkdir=False):
dir = os.path.dirname(__file__)
if subpath is not None:
dir = os.path.join(dir, subpath)
... | python | MIT | eef733050b60c23bf6d6010693fdb2bb04cbd0fd | 2026-01-05T07:09:44.916635Z | false |
chflame163/ComfyUI_OmniGen_Wrapper | https://github.com/chflame163/ComfyUI_OmniGen_Wrapper/blob/eef733050b60c23bf6d6010693fdb2bb04cbd0fd/py/omnigen.py | py/omnigen.py | import os
import sys
sys.path.append(os.path.dirname(__file__))
import torch
import numpy as np
import random
import shutil
import tempfile
from PIL import Image
from huggingface_hub import snapshot_download
import folder_paths
from .OmniGen import OmniGenPipeline
model_path = os.path.join(folder_paths.models_dir, "O... | python | MIT | eef733050b60c23bf6d6010693fdb2bb04cbd0fd | 2026-01-05T07:09:44.916635Z | false |
chflame163/ComfyUI_OmniGen_Wrapper | https://github.com/chflame163/ComfyUI_OmniGen_Wrapper/blob/eef733050b60c23bf6d6010693fdb2bb04cbd0fd/py/OmniGen/model.py | py/OmniGen/model.py | # The code is revised from DiT
import os
import torch
import torch.nn as nn
import numpy as np
import math
from typing import Dict
import torch.nn.functional as F
from diffusers.loaders import PeftAdapterMixin
from timm.models.vision_transformer import PatchEmbed, Attention, Mlp
from huggingface_hub import snapshot_do... | python | MIT | eef733050b60c23bf6d6010693fdb2bb04cbd0fd | 2026-01-05T07:09:44.916635Z | false |
chflame163/ComfyUI_OmniGen_Wrapper | https://github.com/chflame163/ComfyUI_OmniGen_Wrapper/blob/eef733050b60c23bf6d6010693fdb2bb04cbd0fd/py/OmniGen/processor.py | py/OmniGen/processor.py | import os
import re
from typing import Dict, List
import json
import torch
import numpy as np
import random
from PIL import Image
from torchvision import transforms
from transformers import AutoTokenizer
from huggingface_hub import snapshot_download
from OmniGen.utils import (
create_logger,
update_ema,
r... | python | MIT | eef733050b60c23bf6d6010693fdb2bb04cbd0fd | 2026-01-05T07:09:44.916635Z | false |
chflame163/ComfyUI_OmniGen_Wrapper | https://github.com/chflame163/ComfyUI_OmniGen_Wrapper/blob/eef733050b60c23bf6d6010693fdb2bb04cbd0fd/py/OmniGen/utils.py | py/OmniGen/utils.py | import logging
from PIL import Image
import torch
import numpy as np
def create_logger(logging_dir):
"""
Create a logger that writes to a log file and stdout.
"""
logging.basicConfig(
level=logging.INFO,
format='[\033[34m%(asctime)s\033[0m] %(message)s',
datefmt='%Y-%m-%d %H:%M... | python | MIT | eef733050b60c23bf6d6010693fdb2bb04cbd0fd | 2026-01-05T07:09:44.916635Z | false |
chflame163/ComfyUI_OmniGen_Wrapper | https://github.com/chflame163/ComfyUI_OmniGen_Wrapper/blob/eef733050b60c23bf6d6010693fdb2bb04cbd0fd/py/OmniGen/pipeline.py | py/OmniGen/pipeline.py | import os
import inspect
from typing import Any, Callable, Dict, List, Optional, Union
import gc
from PIL import Image
import numpy as np
import torch
from huggingface_hub import snapshot_download
from peft import LoraConfig, PeftModel
from diffusers.models import AutoencoderKL
from diffusers.utils import (
USE_PE... | python | MIT | eef733050b60c23bf6d6010693fdb2bb04cbd0fd | 2026-01-05T07:09:44.916635Z | false |
chflame163/ComfyUI_OmniGen_Wrapper | https://github.com/chflame163/ComfyUI_OmniGen_Wrapper/blob/eef733050b60c23bf6d6010693fdb2bb04cbd0fd/py/OmniGen/__init__.py | py/OmniGen/__init__.py | from .model import OmniGen
from .processor import OmniGenProcessor
from .scheduler import OmniGenScheduler
from .pipeline import OmniGenPipeline | python | MIT | eef733050b60c23bf6d6010693fdb2bb04cbd0fd | 2026-01-05T07:09:44.916635Z | false |
chflame163/ComfyUI_OmniGen_Wrapper | https://github.com/chflame163/ComfyUI_OmniGen_Wrapper/blob/eef733050b60c23bf6d6010693fdb2bb04cbd0fd/py/OmniGen/transformer.py | py/OmniGen/transformer.py | import math
import warnings
from typing import List, Optional, Tuple, Union
import torch
import torch.utils.checkpoint
from torch import nn
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from huggingface_hub import snapshot_download
from transformers.modeling_outputs import (
BaseModelOutputWit... | python | MIT | eef733050b60c23bf6d6010693fdb2bb04cbd0fd | 2026-01-05T07:09:44.916635Z | false |
chflame163/ComfyUI_OmniGen_Wrapper | https://github.com/chflame163/ComfyUI_OmniGen_Wrapper/blob/eef733050b60c23bf6d6010693fdb2bb04cbd0fd/py/OmniGen/scheduler.py | py/OmniGen/scheduler.py | from tqdm import tqdm
from typing import Optional, Dict, Any, Tuple, List
import gc
import torch
from transformers.cache_utils import Cache, DynamicCache, OffloadedCache
class OmniGenCache(DynamicCache):
def __init__(self,
num_tokens_for_img: int, offload_kv_cache: bool=False) -> None:
... | python | MIT | eef733050b60c23bf6d6010693fdb2bb04cbd0fd | 2026-01-05T07:09:44.916635Z | false |
chflame163/ComfyUI_OmniGen_Wrapper | https://github.com/chflame163/ComfyUI_OmniGen_Wrapper/blob/eef733050b60c23bf6d6010693fdb2bb04cbd0fd/py/OmniGen/train_helper/loss.py | py/OmniGen/train_helper/loss.py | import torch
def sample_x0(x1):
"""Sampling x0 & t based on shape of x1 (if needed)
Args:
x1 - data point; [batch, *dim]
"""
if isinstance(x1, (list, tuple)):
x0 = [torch.randn_like(img_start) for img_start in x1]
else:
x0 = torch.randn_like(x1)
return x0
def sample_tim... | python | MIT | eef733050b60c23bf6d6010693fdb2bb04cbd0fd | 2026-01-05T07:09:44.916635Z | false |
chflame163/ComfyUI_OmniGen_Wrapper | https://github.com/chflame163/ComfyUI_OmniGen_Wrapper/blob/eef733050b60c23bf6d6010693fdb2bb04cbd0fd/py/OmniGen/train_helper/__init__.py | py/OmniGen/train_helper/__init__.py | from .data import DatasetFromJson, TrainDataCollator
from .loss import training_losses | python | MIT | eef733050b60c23bf6d6010693fdb2bb04cbd0fd | 2026-01-05T07:09:44.916635Z | false |
chflame163/ComfyUI_OmniGen_Wrapper | https://github.com/chflame163/ComfyUI_OmniGen_Wrapper/blob/eef733050b60c23bf6d6010693fdb2bb04cbd0fd/py/OmniGen/train_helper/data.py | py/OmniGen/train_helper/data.py | import os
import datasets
from datasets import load_dataset, ClassLabel, concatenate_datasets
import torch
import numpy as np
import random
from PIL import Image
import json
import copy
# import torchvision.transforms as T
from torchvision import transforms
import pickle
import re
from OmniGen import OmniGenProcessor... | python | MIT | eef733050b60c23bf6d6010693fdb2bb04cbd0fd | 2026-01-05T07:09:44.916635Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/setup.py | setup.py | import codecs
import os
import re
# Prevent spurious errors during `python setup.py test`, a la
# http://www.eby-sarna.com/pipermail/peak/2010-May/003357.html:
try:
import multiprocessing
except ImportError:
pass
from setuptools import setup, find_packages
def read(*parts):
content = codecs.open(
... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/runtests.py | runtests.py | import os
import sys
import django
from django.test.utils import get_runner
from django.conf import settings
def runtests():
test_dir = os.path.join(os.path.dirname(__file__), "fancy_tests/tests")
sys.path.insert(0, test_dir)
os.environ["DJANGO_SETTINGS_MODULE"] = "settings"
django.setup()
Test... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fabfile.py | fabfile.py | """
This Source Code Form is subject to the terms of the Mozilla Public
License, v. 2.0. If a copy of the MPL was not distributed with this
file, You can obtain one at http://mozilla.org/MPL/2.0/.
"""
import os
from fabric.api import local
ROOT = os.path.abspath(os.path.dirname(__file__))
os.environ["PYTHONPATH"] = ... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_tests/__init__.py | fancy_tests/__init__.py | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false | |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_tests/tests/views.py | fancy_tests/tests/views.py | import uuid
from django.shortcuts import render
from django.views.decorators.cache import never_cache
from fancy_cache import cache_page
def _view(request):
random_string = uuid.uuid4().hex
return render(request, "home.html", dict(random_string=random_string))
@cache_page(60)
def home(request):
return _... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_tests/tests/test_utils.py | fancy_tests/tests/test_utils.py | import time
import unittest
from django.core.cache import cache
from fancy_cache.constants import REMEMBERED_URLS_KEY
from fancy_cache.utils import filter_remembered_urls
class TestUtils(unittest.TestCase):
def setUp(self):
expiration_time = int(time.time()) + 5
self.urls = {
"/page1... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_tests/tests/test_views.py | fancy_tests/tests/test_views.py | import time
import unittest
import re
from nose.tools import eq_, ok_
from django.test.client import RequestFactory
from django.core.cache import cache, caches
from unittest import mock
from fancy_cache.constants import REMEMBERED_URLS_KEY
from fancy_cache.memory import find_urls
from . import views
class TestView... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_tests/tests/models.py | fancy_tests/tests/models.py | # lonely in here
| python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_tests/tests/test_command.py | fancy_tests/tests/test_command.py | import time
from django.test import TestCase
from nose.tools import ok_
from django.core.cache import cache
from django.core.management import call_command
from io import StringIO
from fancy_cache.constants import REMEMBERED_URLS_KEY
class TestBaseCommand(TestCase):
def setUp(self):
expiration_time = int... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_tests/tests/settings.py | fancy_tests/tests/settings.py | import os
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
SECRET_KEY = "anything"
ALLOWED_HOSTS = ("testserver",)
DATABASES = {
"default": {
"NAME": ":memory:",
"ENGINE": "django.db.backends.sqlite3",
}
}
CACHES = {
"default": {
"BACKEND": "django.core.cache.backends.locme... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_tests/tests/test_memory.py | fancy_tests/tests/test_memory.py | import json
import mock
import time
import unittest
import zlib
from nose.tools import eq_, ok_
from django.core.cache import cache, caches
from unittest import mock
from fancy_cache.constants import REMEMBERED_URLS_KEY
from fancy_cache.memory import find_urls
class TestMemory(unittest.TestCase):
def setUp(self... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_tests/tests/__init__.py | fancy_tests/tests/__init__.py | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false | |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_tests/tests/urls.py | fancy_tests/tests/urls.py | from django.urls import path
from . import views
urlpatterns = [path("", views.home, name="home")]
| python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/docs/conf.py | docs/conf.py | # -*- coding: utf-8 -*-
#
# django-fancy-cache documentation build configuration file, created by
# sphinx-quickstart on Sun Feb 10 16:18:37 2013.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated fi... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/example/manage.py | example/manage.py | #!/usr/bin/env python
import os
import sys
# make sure we're running the fancy_cache here and not anything installed
parent = os.path.normpath(os.path.join(__file__, "../.."))
sys.path.insert(0, parent)
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "example.settings")
from django... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/example/example/settings.py | example/example/settings.py | # Django settings for example project.
FANCY_REMEMBER_ALL_URLS = True
FANCY_REMEMBER_STATS_ALL_URLS = True
DEBUG = True
TEMPLATE_DEBUG = DEBUG
ADMINS = (
# ('Your Name', 'your_email@example.com'),
)
MANAGERS = ADMINS
DATABASES = {
"default": {
"ENGINE": "django.db.backends.sqlite3",
"NAME":... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/example/example/__init__.py | example/example/__init__.py | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false | |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/example/example/wsgi.py | example/example/wsgi.py | """
WSGI config for example project.
This module contains the WSGI application used by Django's development server
and any production WSGI deployments. It should expose a module-level variable
named ``application``. Django's ``runserver`` and ``runfcgi`` commands discover
this application via the ``WSGI_APPLICATION`` ... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/example/example/urls.py | example/example/urls.py | from django.urls import include, path
urlpatterns = [
path("", include("example.app.urls")),
path("fancy-cache", include("fancy_cache.urls")),
]
| python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/example/example/app/views.py | example/example/app/views.py | import time
from django.shortcuts import render, redirect
from fancy_cache import cache_page
from fancy_cache.memory import find_urls
def home(request):
remembered_urls = find_urls([])
return render(request, "home.html", {"remembered_urls": remembered_urls})
def commafy(s):
r = []
for i, c in enum... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/example/example/app/models.py | example/example/app/models.py | from django.db import models
# Create your models here.
| python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/example/example/app/__init__.py | example/example/app/__init__.py | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false | |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/example/example/app/tests.py | example/example/app/tests.py | """
This file demonstrates writing tests using the unittest module. These will pass
when you run "manage.py test".
Replace this with more appropriate tests for your application.
"""
from django.test import TestCase
class SimpleTest(TestCase):
def test_basic_addition(self):
"""
Tests that 1 + 1 a... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/example/example/app/urls.py | example/example/app/urls.py | from django.urls import path
from . import views
urlpatterns = [
path("", views.home, name="home"),
path("page1.html", views.page1, name="page1"),
path("page2.html", views.page2, name="page2"),
path("page3.html", views.page3, name="page3"),
path("page4.html", views.page4, name="page4"),
path("p... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_cache/views.py | fancy_cache/views.py | from django.shortcuts import render
from django.conf import settings
from fancy_cache.memory import find_urls
def home(request):
data = {
"found": find_urls([]),
"remember_all_urls_setting": getattr(
settings, "FANCY_REMEMBER_ALL_URLS", False
),
"remember_stats_all_url... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_cache/middleware.py | fancy_cache/middleware.py | """
Middleware based on Django's cache middleware.
See https://github.com/django/django/blob/main/django/middleware/cache.py
"""
import functools
import json
import logging
import time
import typing
import zlib
from django.conf import settings
from django.core.cache import DEFAULT_CACHE_ALIAS, caches
from django.middl... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_cache/constants.py | fancy_cache/constants.py | REMEMBERED_URLS_KEY = "fancy-urls"
LONG_TIME = 60 * 60 * 24 * 30
| python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_cache/memory.py | fancy_cache/memory.py | import json
import logging
import re
import typing
import zlib
from django.conf import settings
from django.core.cache import cache
from fancy_cache.constants import LONG_TIME, REMEMBERED_URLS_KEY
from fancy_cache.middleware import USE_MEMCACHED_CAS
from fancy_cache.utils import md5, filter_remembered_urls
__all__ =... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_cache/utils.py | fancy_cache/utils.py | import hashlib
import time
import typing
def md5(x) -> str:
return hashlib.md5(x.encode("utf-8")).hexdigest()
def filter_remembered_urls(
remembered_urls: typing.Dict[str, typing.Tuple[str, int]],
) -> typing.Dict[str, typing.Tuple[str, int]]:
"""
Filter out any expired URLs from Fancy Cache's remem... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_cache/__init__.py | fancy_cache/__init__.py | from .cache_page import cache_page # NOQA
__version__ = "1.3.1"
| python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_cache/cache_page.py | fancy_cache/cache_page.py | import typing
from django.utils.decorators import decorator_from_middleware_with_args
from .middleware import FancyCacheMiddleware
def cache_page(
timeout: typing.Optional[float],
*,
cache: str = None,
key_prefix: str = None,
**kwargs
) -> typing.Callable:
return decorator_from_middleware_wi... | python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
peterbe/django-fancy-cache | https://github.com/peterbe/django-fancy-cache/blob/66fc6cb5d6914ef689b72950eb404f39836e8506/fancy_cache/urls.py | fancy_cache/urls.py | from django.urls import path
from . import views
urlpatterns = [
path("", views.home, name="home"),
]
| python | BSD-3-Clause | 66fc6cb5d6914ef689b72950eb404f39836e8506 | 2026-01-05T07:09:45.763132Z | false |
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