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 |
|---|---|---|---|---|---|---|---|---|
openvpi/SingingVocoders | https://github.com/openvpi/SingingVocoders/blob/dbc848fa4de79a9181d359d4656b3634bc79d415/modules/lvc_ddsp/pcmer.py | modules/lvc_ddsp/pcmer.py | import torch
from torch import nn
import math
from functools import partial
from einops import rearrange, repeat
# from local_attention import LocalAttention
import torch.nn.functional as F
#import fast_transformers.causal_product.causal_product_cuda
class PCmer(nn.Module):
"""The encoder that is used in ... | python | MIT | dbc848fa4de79a9181d359d4656b3634bc79d415 | 2026-01-05T07:10:51.192436Z | false |
openvpi/SingingVocoders | https://github.com/openvpi/SingingVocoders/blob/dbc848fa4de79a9181d359d4656b3634bc79d415/modules/lvc_ddsp/loss.py | modules/lvc_ddsp/loss.py | import numpy as np
import torch
import torch.nn as nn
import torchaudio
from torch.nn import functional as F
from .core import upsample
class HybridLoss(nn.Module):
def __init__(self, block_size, fft_min, fft_max, n_scale, lambda_uv, device):
super().__init__()
self.loss_rss_func = RSSLoss(fft_min... | python | MIT | dbc848fa4de79a9181d359d4656b3634bc79d415 | 2026-01-05T07:10:51.192436Z | false |
openvpi/SingingVocoders | https://github.com/openvpi/SingingVocoders/blob/dbc848fa4de79a9181d359d4656b3634bc79d415/modules/lvc_ddsp/__init__.py | modules/lvc_ddsp/__init__.py | python | MIT | dbc848fa4de79a9181d359d4656b3634bc79d415 | 2026-01-05T07:10:51.192436Z | false | |
openvpi/SingingVocoders | https://github.com/openvpi/SingingVocoders/blob/dbc848fa4de79a9181d359d4656b3634bc79d415/modules/lvc_ddsp/vocoder.py | modules/lvc_ddsp/vocoder.py | import os
import numpy as np
import yaml
import torch
import torch.nn.functional as F
from librosa.filters import mel as librosa_mel_fn
from .mel2control import Mel2Control
from .core import frequency_filter, upsample, remove_above_fmax
from ..lvc.lvcnet import LVCNetGenerator
class DotDict(dict):
def __getattr__... | python | MIT | dbc848fa4de79a9181d359d4656b3634bc79d415 | 2026-01-05T07:10:51.192436Z | false |
openvpi/SingingVocoders | https://github.com/openvpi/SingingVocoders/blob/dbc848fa4de79a9181d359d4656b3634bc79d415/modules/optimizer/muon.py | modules/optimizer/muon.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from torch.nn import Module, Parameter, Embedding
from typing import List
from itertools import repeat
from .chained_optimizer import ChainedOptimizer, OptimizerSpec
coeffs_list = [
(8.28721201814563, -23.595886519098837, 1... | python | MIT | dbc848fa4de79a9181d359d4656b3634bc79d415 | 2026-01-05T07:10:51.192436Z | false |
openvpi/SingingVocoders | https://github.com/openvpi/SingingVocoders/blob/dbc848fa4de79a9181d359d4656b3634bc79d415/modules/optimizer/chained_optimizer.py | modules/optimizer/chained_optimizer.py | import torch
from torch import Tensor
from torch.optim import Optimizer
from dataclasses import dataclass
from typing import Any, Dict, List, Type, Callable, Optional, Iterable
@dataclass
class OptimizerSpec:
"""Spec for creating an optimizer that is part of a `ChainedOptimizer`."""
class_type: Type[Optimize... | python | MIT | dbc848fa4de79a9181d359d4656b3634bc79d415 | 2026-01-05T07:10:51.192436Z | false |
sanand0/tools-in-data-science-public | https://github.com/sanand0/tools-in-data-science-public/blob/5dc00954854ff600b0f003df2486a8775a91e5d2/llm-cmd-agent.py | llm-cmd-agent.py | #!/usr/bin/env python3
# /// script
# requires-python = ">=3.9"
# dependencies = ["requests"]
# ///
import requests
import os
import subprocess
import sys
import re
from typing import Dict, List, Optional, Tuple
# Get API key from environment variable
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
if not OPENAI_API_KEY... | python | MIT | 5dc00954854ff600b0f003df2486a8775a91e5d2 | 2026-01-05T07:10:51.078938Z | false |
sanand0/tools-in-data-science-public | https://github.com/sanand0/tools-in-data-science-public/blob/5dc00954854ff600b0f003df2486a8775a91e5d2/project-1/datagen.py | project-1/datagen.py | # DISCLAIMER: THIS SCRIPT WILL CHANGE BEFORE THE EVALUATION. TREAT THIS AS A GUIDE.
# Usage: uv run datagen.py <email>
# /// script
# requires-python = ">=3.13"
# dependencies = [
# "faker",
# "pillow",
# ]
# ///
import datetime
import hashlib
import json
import os
import random
import sqlite3
import time
fr... | python | MIT | 5dc00954854ff600b0f003df2486a8775a91e5d2 | 2026-01-05T07:10:51.078938Z | false |
sanand0/tools-in-data-science-public | https://github.com/sanand0/tools-in-data-science-public/blob/5dc00954854ff600b0f003df2486a8775a91e5d2/project-1/similarity.py | project-1/similarity.py | # /// script
# requires-python = ">=3.12"
# dependencies = [
# "datasketch",
# "pandas",
# "platformdirs",
# "python-dotenv",
# ]
# ///
import ast
import os
import pandas as pd
import tokenize
from datasketch import MinHash
from io import BytesIO
class RemoveDocstrings(ast.NodeTransformer):
def v... | python | MIT | 5dc00954854ff600b0f003df2486a8775a91e5d2 | 2026-01-05T07:10:51.078938Z | false |
sanand0/tools-in-data-science-public | https://github.com/sanand0/tools-in-data-science-public/blob/5dc00954854ff600b0f003df2486a8775a91e5d2/project-1/evaluate.py | project-1/evaluate.py | # /// script
# requires-python = ">=3.13"
# dependencies = [
# "faker",
# "httpx",
# "lxml",
# "numpy",
# "pillow",
# "python-dateutil",
# ]
# ///
import hashlib
import httpx
import io
import json
import logging
import numpy as np
import os
import random
import re
import subprocess
from dateutil... | python | MIT | 5dc00954854ff600b0f003df2486a8775a91e5d2 | 2026-01-05T07:10:51.078938Z | false |
sanand0/tools-in-data-science-public | https://github.com/sanand0/tools-in-data-science-public/blob/5dc00954854ff600b0f003df2486a8775a91e5d2/project-llm-analysis-quiz/promptfight.py | project-llm-analysis-quiz/promptfight.py | # /// script
# requires-python = ">=3.12"
# dependencies = [
# "httpx",
# "pandas",
# "tenacity",
# ]
# ///
import asyncio
import os
import pandas as pd
import httpx
from collections import Counter
from tenacity import (
AsyncRetrying,
retry_if_exception_type,
stop_after_attempt,
wait_expon... | python | MIT | 5dc00954854ff600b0f003df2486a8775a91e5d2 | 2026-01-05T07:10:51.078938Z | false |
sanand0/tools-in-data-science-public | https://github.com/sanand0/tools-in-data-science-public/blob/5dc00954854ff600b0f003df2486a8775a91e5d2/project-llm-analysis-quiz/evaluation.py | project-llm-analysis-quiz/evaluation.py | """
We need scoring that is fair, easy to explain, and robust to uneven match counts.
Below are four complementary mechanisms grounded in common education/assessment practices
(simple points, normalized rates, and difficulty-adjusted credit).
## 1) Simple Win Points (baseline, “1 point per win”)
- Each duel yields exa... | python | MIT | 5dc00954854ff600b0f003df2486a8775a91e5d2 | 2026-01-05T07:10:51.078938Z | false |
sanand0/tools-in-data-science-public | https://github.com/sanand0/tools-in-data-science-public/blob/5dc00954854ff600b0f003df2486a8775a91e5d2/live-sessions/update.py | live-sessions/update.py | #!/usr/bin/env -S uv run
from pathlib import Path
def update() -> None:
"""Run the updater."""
ROOT = Path(__file__).resolve().parent
playlist = [line.split("\t", 2) for line in (ROOT / "playlist.tsv").read_text().splitlines()]
faqs = {path.stem.split("-", 1)[-1]: path.name for path in ROOT.glob("*-*.... | python | MIT | 5dc00954854ff600b0f003df2486a8775a91e5d2 | 2026-01-05T07:10:51.078938Z | false |
clearhanhui/LearnLibTorch | https://github.com/clearhanhui/LearnLibTorch/blob/305d571da3cf71119811c94f4e060ec51c37ebcf/chap2/python/TensorBasics.py | chap2/python/TensorBasics.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
@File : CreateTensor.py
@Time : 2022/07/06
@Author : Han Hui
@Contact : clearhanhui@gmail.com
'''
import torch
# 创建张量
def tensor_init():
a = torch.zeros((2,3))
b = torch.ones((2,3))
c = torch.eye(4)
d = torch.full_like(a, 10)
e = t... | python | MIT | 305d571da3cf71119811c94f4e060ec51c37ebcf | 2026-01-05T07:10:52.390633Z | false |
clearhanhui/LearnLibTorch | https://github.com/clearhanhui/LearnLibTorch/blob/305d571da3cf71119811c94f4e060ec51c37ebcf/chap5/python/PracticeModels.py | chap5/python/PracticeModels.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
@File : Lenet5MNIST.py
@Time : 2022/07/13
@Author : Han Hui
@Contact : clearhanhui@gmail.com
'''
import sys
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision
import torchvision.transforms as transforms
fr... | python | MIT | 305d571da3cf71119811c94f4e060ec51c37ebcf | 2026-01-05T07:10:52.390633Z | false |
clearhanhui/LearnLibTorch | https://github.com/clearhanhui/LearnLibTorch/blob/305d571da3cf71119811c94f4e060ec51c37ebcf/chap5/python/utils.py | chap5/python/utils.py | # This utils script is from [pygcn](https://github.com/tkipf/pygcn)
import numpy as np
import scipy.sparse as sp
import torch
def encode_onehot(labels):
classes = set(labels)
classes_dict = {c: np.identity(len(classes))[i, :] for i, c in
enumerate(classes)}
labels_onehot = np.array(li... | python | MIT | 305d571da3cf71119811c94f4e060ec51c37ebcf | 2026-01-05T07:10:52.390633Z | false |
clearhanhui/LearnLibTorch | https://github.com/clearhanhui/LearnLibTorch/blob/305d571da3cf71119811c94f4e060ec51c37ebcf/chap1/python/HelloWorld.py | chap1/python/HelloWorld.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
@File : HelloWorld.py
@Time : 2022/07/06 16:15:32
@Author : Han Hui
@Contact : clearhanhui@gmail.com
'''
import torch
tensor = torch.zeros((2, 3))
print(tensor)
print("\nWelcome to LibTorch!")
| python | MIT | 305d571da3cf71119811c94f4e060ec51c37ebcf | 2026-01-05T07:10:52.390633Z | false |
clearhanhui/LearnLibTorch | https://github.com/clearhanhui/LearnLibTorch/blob/305d571da3cf71119811c94f4e060ec51c37ebcf/chap7/check_profile.py | chap7/check_profile.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
@File : check_profile.py
@Time : 2022/07/28
@Author : Han Hui
@Contact : clearhanhui@gmail.com
'''
import time
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import gradcheck
from python.extend import GCNLayerFun... | python | MIT | 305d571da3cf71119811c94f4e060ec51c37ebcf | 2026-01-05T07:10:52.390633Z | false |
clearhanhui/LearnLibTorch | https://github.com/clearhanhui/LearnLibTorch/blob/305d571da3cf71119811c94f4e060ec51c37ebcf/chap7/python/extend.py | chap7/python/extend.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
@File : extend.py
@Time : 2022/07/21
@Author : Han Hui
@Contact : clearhanhui@gmail.com
'''
import torch
import torch.nn as nn
from torch.autograd.function import Function
try:
import gc_cpp # must after `import torch`
except:
print("\nModule g... | python | MIT | 305d571da3cf71119811c94f4e060ec51c37ebcf | 2026-01-05T07:10:52.390633Z | false |
clearhanhui/LearnLibTorch | https://github.com/clearhanhui/LearnLibTorch/blob/305d571da3cf71119811c94f4e060ec51c37ebcf/chap7/python/__init__.py | chap7/python/__init__.py | python | MIT | 305d571da3cf71119811c94f4e060ec51c37ebcf | 2026-01-05T07:10:52.390633Z | false | |
clearhanhui/LearnLibTorch | https://github.com/clearhanhui/LearnLibTorch/blob/305d571da3cf71119811c94f4e060ec51c37ebcf/chap7/csrc/setup.py | chap7/csrc/setup.py | from setuptools import Extension, setup
from torch.utils.cpp_extension import BuildExtension, CppExtension, include_paths, library_paths
# libraries = ['c10', 'torch', 'torch_cpu', 'torch_python']
# modules = [Extension(
# name='gc_cpp', # package name
# sources=['gc_layer.cpp'],
# include_dirs=include_paths... | python | MIT | 305d571da3cf71119811c94f4e060ec51c37ebcf | 2026-01-05T07:10:52.390633Z | false |
clearhanhui/LearnLibTorch | https://github.com/clearhanhui/LearnLibTorch/blob/305d571da3cf71119811c94f4e060ec51c37ebcf/chap4/python/BasicModels.py | chap4/python/BasicModels.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
@File : BasicModels.py
@Time : 2022/07/07
@Author : Han Hui
@Contact : clearhanhui@gmail.com
'''
import torch
# 生成线性数据
w = torch.tensor([[1.0, 2.0]])
x = torch.rand((20, 2))
b = torch.randn((20, 1)) + 3
y = x.mm(w.t()) + b
# 生成图像数据
img0 = torch.randn(... | python | MIT | 305d571da3cf71119811c94f4e060ec51c37ebcf | 2026-01-05T07:10:52.390633Z | false |
clearhanhui/LearnLibTorch | https://github.com/clearhanhui/LearnLibTorch/blob/305d571da3cf71119811c94f4e060ec51c37ebcf/chap6/python/export_model.py | chap6/python/export_model.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
@File : train_export_model.py
@Time : 2022/07/18
@Author : Han Hui
@Contact : clearhanhui@gmail.com
'''
import sys
import torch
import torch.nn as nn
import torch.nn.functional as F
class LeNet5(nn.Module):
def __init__(self):
super().__in... | python | MIT | 305d571da3cf71119811c94f4e060ec51c37ebcf | 2026-01-05T07:10:52.390633Z | false |
clearhanhui/LearnLibTorch | https://github.com/clearhanhui/LearnLibTorch/blob/305d571da3cf71119811c94f4e060ec51c37ebcf/chap3/python/AutoGrad.py | chap3/python/AutoGrad.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
@File : AutoGrad.py
@Time : 2022/07/07
@Author : Han Hui
@Contact : clearhanhui@gmail.com
'''
import torch
x = torch.tensor(2.0)
w = torch.tensor(3.0, requires_grad=True)
b = torch.tensor(4.0, requires_grad=True)
y = w * x + b
y.backward(retain_graph=... | python | MIT | 305d571da3cf71119811c94f4e060ec51c37ebcf | 2026-01-05T07:10:52.390633Z | false |
clearhanhui/LearnLibTorch | https://github.com/clearhanhui/LearnLibTorch/blob/305d571da3cf71119811c94f4e060ec51c37ebcf/chap8/check.py | chap8/check.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
@File : check.py
@Time : 2022/07/28
@Author : Han Hui
@Contact : clearhanhui@gmail.com
'''
import torch
import numpy as np
from python.AutoGrad import make_array, mm, mul, add, BackwardEngine
a = make_array(np.random.randn(2,2), requires_grad=True)
b... | python | MIT | 305d571da3cf71119811c94f4e060ec51c37ebcf | 2026-01-05T07:10:52.390633Z | false |
clearhanhui/LearnLibTorch | https://github.com/clearhanhui/LearnLibTorch/blob/305d571da3cf71119811c94f4e060ec51c37ebcf/chap8/python/AutoGrad.py | chap8/python/AutoGrad.py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
'''
@File : AutoGrad.py
@Time : 2022/07/27
@Author : Han Hui
@Contact : clearhanhui@gmail.com
'''
import numpy as np
class MyArray(np.ndarray):
"""
Same with `np.ndarray` but `__setattr__` fucntion.
"""
def __setattr__(self, __name, __val... | python | MIT | 305d571da3cf71119811c94f4e060ec51c37ebcf | 2026-01-05T07:10:52.390633Z | false |
clearhanhui/LearnLibTorch | https://github.com/clearhanhui/LearnLibTorch/blob/305d571da3cf71119811c94f4e060ec51c37ebcf/chap8/python/__init__.py | chap8/python/__init__.py | python | MIT | 305d571da3cf71119811c94f4e060ec51c37ebcf | 2026-01-05T07:10:52.390633Z | false | |
mustafamerttunali/deep-learning-training-gui | https://github.com/mustafamerttunali/deep-learning-training-gui/blob/218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec/config.py | config.py | # # # # # # # # # # # # # # #
# Author: Mustafa Mert Tunalı
# ---------------------------
# ---------------------------
# Deep Learning Training GUI - Config Page
# ---------------------------
# ---------------------------
# # # # # # # # # # # # # # #
import numpy as np
# In Development For Object Detection
clas... | python | MIT | 218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec | 2026-01-05T07:08:45.881834Z | false |
mustafamerttunali/deep-learning-training-gui | https://github.com/mustafamerttunali/deep-learning-training-gui/blob/218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec/app.py | app.py | # # # # # # # # # # # # # # #
# Author: Mustafa Mert Tunalı
# ---------------------------
# ---------------------------
# Deep Learning Training GUI - Backend Side
# ---------------------------
# ---------------------------
# # # # # # # # # # # # # # #
import numpy as np
from multiprocessing import Process
import t... | python | MIT | 218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec | 2026-01-05T07:08:45.881834Z | false |
mustafamerttunali/deep-learning-training-gui | https://github.com/mustafamerttunali/deep-learning-training-gui/blob/218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec/dltgui/dlgui.py | dltgui/dlgui.py | # # # # # # # # # # # # # # #
# Author: Mustafa Mert Tunalı
# ---------------------------
# ---------------------------
# Deep Learning Training GUI - Class Page
# ---------------------------
# ---------------------------
# # # # # # # # # # # # # # #
# Libraries
import tensorflow as tf
from tensorflow.keras.models... | python | MIT | 218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec | 2026-01-05T07:08:45.881834Z | false |
mustafamerttunali/deep-learning-training-gui | https://github.com/mustafamerttunali/deep-learning-training-gui/blob/218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec/tests/visualize_heatmap.py | tests/visualize_heatmap.py | import tensorflow as tf
import numpy as np
from matplotlib import pyplot as plt
import cv2
%matplotlib inline
from tf_explain.core.activations import ExtractActivations
def apply_grey_patch(image, top_left_x, top_left_y, patch_size):
patched_image = np.array(image, copy=True)
patched_image[top_left_y:top_lef... | python | MIT | 218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec | 2026-01-05T07:08:45.881834Z | false |
mustafamerttunali/deep-learning-training-gui | https://github.com/mustafamerttunali/deep-learning-training-gui/blob/218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec/tests/show_heatmap.py | tests/show_heatmap.py | ### Not working.
import tensorflow as tf
import numpy as np
from matplotlib import pyplot as plt
import cv2
tf.compat.v1.disable_eager_execution()
def prepare_image(img):
img = tf.keras.preprocessing.image.load_img(img, target_size=(224, 224))
img_array = tf.keras.preprocessing.image.img_to_array(img)... | python | MIT | 218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec | 2026-01-05T07:08:45.881834Z | false |
mustafamerttunali/deep-learning-training-gui | https://github.com/mustafamerttunali/deep-learning-training-gui/blob/218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec/tests/img2array.py | tests/img2array.py | import tensorflow as tf
from keras.preprocessing import image
import numpy as np
def prepare_image(file):
img_path = ''
img = tf.keras.preprocessing.image.load_img(img_path + file, target_size=(224, 224))
img_array = tf.keras.preprocessing.image.img_to_array(img)
img_array_expanded_dims = np.expand_di... | python | MIT | 218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec | 2026-01-05T07:08:45.881834Z | false |
mustafamerttunali/deep-learning-training-gui | https://github.com/mustafamerttunali/deep-learning-training-gui/blob/218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec/tests/dataaug.py | tests/dataaug.py | import Augmentor
test = "True"
test2 = "True"
test3 = "True"
imgaug = "True"
if imgaug == "True":
p = Augmentor.Pipeline("images/", output_directory="")
if test == "True":
print("Rotate kismindayim")
p.rotate(probability=0.7, max_left_rotation=10, max_right_rotation=10)
if test2 == "... | python | MIT | 218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec | 2026-01-05T07:08:45.881834Z | false |
mustafamerttunali/deep-learning-training-gui | https://github.com/mustafamerttunali/deep-learning-training-gui/blob/218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec/tests/keras_engine.py | tests/keras_engine.py | import tensorflow as tf
mobilenet = tf.keras.applications.MobileNetV2(input_shape = (224,224,3),
include_top=False,
weights='imagenet')
average_pooling = tf.keras.layers.GlobalAveragePool... | python | MIT | 218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec | 2026-01-05T07:08:45.881834Z | false |
mustafamerttunali/deep-learning-training-gui | https://github.com/mustafamerttunali/deep-learning-training-gui/blob/218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec/tests/test_basic.py | tests/test_basic.py | import os
import numpy as np
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from multiprocessing import Process
def startTensorboard(logdir):
# Start tensorboard with system call
os.system("tensorboard --logdir {}".format(logdir))
def fitModel():
# Create your m... | python | MIT | 218f2c48ce7e70fc6a1b7cfbcd982c353bb864ec | 2026-01-05T07:08:45.881834Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/IP Revealer/main_with_ipify.py | IP Revealer/main_with_ipify.py | import time
import flet as ft
import requests
def main(page: ft.Page):
page.title = "IP Revealer"
page.window_center()
page.window_always_on_top = True
page.vertical_alignment = page.horizontal_alignment = "center"
page.window_min_width, page.window_min_height = 312, 124
page.window_width, pag... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/IP Revealer/main.py | IP Revealer/main.py | import time
import flet as ft
def main(page: ft.Page):
page.title = "IP Revealer"
page.theme_mode = ft.ThemeMode.LIGHT
page.vertical_alignment = page.horizontal_alignment = "center"
page.fonts = {
"PJS": "/fonts/Plus_Jakarta_Sans/PlusJakartaSans-VariableFont_wght.ttf",
"Stick": "/fonts... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Random Image Viewer/main.py | Random Image Viewer/main.py | import flet as ft
from utils import ImageCard
def main(page: ft.Page):
# little configurations
page.title = "Random Image Generator"
page.horizontal_alignment = "center" # center the controls in the page - just for a beautiful UI
page.theme_mode = "light"
page.img_id_counter = 1
# some custo... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Random Image Viewer/utils.py | Random Image Viewer/utils.py | import random
import flet as ft
# todo: add grayscale and blur
class ImageCard(ft.Card):
# elevation when this card is not hovered
NORMAL_ELEVATION = 3
# elevation when this card is hovered
HOVERED_ELEVATION = 7
def __init__(self, img_id: int):
super(ImageCard, self).__init__(elevation=s... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/StartUp Name Generator/main.py | StartUp Name Generator/main.py | # made by @ndonkoHenri aka TheEthicalBoy
import flet as ft
import utils
def main(page: ft.Page):
def tile_clicked(e):
"""
When a tile is clicked, if it's not a favorite, add it to the favorites page, otherwise remove it from the
favorites page.
"""
# tile item added to th... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/StartUp Name Generator/utils.py | StartUp Name Generator/utils.py | # I pushed some stuffs into here to make th main.py file cleaner
import flet as ft
# the list view for the main page
main_listview = ft.ListView(
expand=True,
spacing=1,
divider_thickness=0.2,
first_item_prototype=True
)
# the appbar to be shown on the main/entry page
main_appbar = ft.AppBar(
tit... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Short Jokes/joke.py | Short Jokes/joke.py | import json
from typing import Optional
import urllib3
# documentation available here : https://v2.jokeapi.dev/
JOKE_URL = 'https://v2.jokeapi.dev/joke/Programming,Christmas?blacklistFlags=nsfw,racist,sexist,explicit&safe-mode'
def fetch_joke() -> Optional[dict]:
""" We fetch the joke, while taking into conside... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Short Jokes/main.py | Short Jokes/main.py | import flet as ft
from utils import JokeCard, ethical_signature
from joke import return_joke
def main(page: ft.Page):
page.title = "Short Jokes"
page.theme_mode = "light"
# page.window_always_on_top = True
page.jokes_id_counter = 0
page.splash = ft.ProgressBar(visible=False)
page.fonts = {
... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Short Jokes/utils.py | Short Jokes/utils.py | import flet as ft
class JokeCard(ft.Card):
# elevation when this card is not hovered
NORMAL_ELEVATION = 3
# elevation when this card is hovered
HOVERED_ELEVATION = 7
def __init__(self, joke_id: int, joke: str = "This is a Joke bro. Haha!"):
super(JokeCard, self).__init__(elevation=self.NO... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Forms/login_utils.py | Forms/login_utils.py | import base64
import os
import random
import string
from typing import Callable
import flet as ft
from captcha.audio import AudioCaptcha
from captcha.image import ImageCaptcha
class LoginWithCaptcha(ft.Column):
def __init__(self, on_success: Callable = None, on_error: Callable = None, width=500):
"""
... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Forms/login_with_captcha.py | Forms/login_with_captcha.py | import flet as ft
from login_utils import LoginWithCaptcha
def main(page: ft.Page):
page.title = "Forms"
# page.window_always_on_top = True
page.theme_mode = "light"
page.horizontal_alignment = page.vertical_alignment = "center"
page.window_width, page.window_height = 425, 700
page.window_cent... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/main.py | Flet-Utils/main.py | import flet as ft
from utils.padding_utils import TabContentPadding
from utils.alignment_utils import TabContentAlignment
from utils.border_utils import TabContentBorder
from utils.border_radius_utils import TabContentBorderRadius
from utils.colors_utils import TabContentColors1, TabContentColors2
from utils.icons_brow... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/border_radius_utils.py | Flet-Utils/utils/border_radius_utils.py | import flet as ft
# the content of the border radius tab
class TabContentBorderRadius(ft.UserControl):
def __init__(self):
super().__init__()
# text field for topLeft(tl) property of the BorderRadius object
self.field_tl = ft.TextField(
label="topLeft",
value="",
... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/alignment_utils.py | Flet-Utils/utils/alignment_utils.py | import flet as ft
# the content of the alignment tab
class TabContentAlignment(ft.UserControl):
def __init__(self):
super().__init__()
# slider for x parameter of the Alignment object
self.slider_x = ft.Slider(
label="x",
value=0,
on_change=self.update_a... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/divider_utils.py | Flet-Utils/utils/divider_utils.py | from flet import *
import flet as ft
# the content of the divider tab
class TabContentDivider(ft.UserControl):
def __init__(self):
super().__init__()
self.divider_color = "green"
self.divider_tooltip = None
self.divider_thickness = 4
self.divider_height = None
sel... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/tooltip_utils.py | Flet-Utils/utils/tooltip_utils.py | import math
import flet as ft
from flet import *
from flet import border_radius, border, padding, margin, alignment
# the content of the tooltip tab
class TabContentTooltip(ft.UserControl):
def __init__(self):
super().__init__()
self.vertical_offset = None
self.wait_duration = None
... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/circle_avatar_utils.py | Flet-Utils/utils/circle_avatar_utils.py | from flet import *
import flet as ft
# todo: "rotate" from icon_utils
# the content of the circle avatar tab
class TabContentCircleAvatar(ft.UserControl):
def __init__(self):
super().__init__()
self.avatar_background_image_url = None
self.avatar_foreground_image_url = None
self.... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/progress_bar_utils.py | Flet-Utils/utils/progress_bar_utils.py | from flet import *
import flet as ft
# the content of the progress bar tab
class TabContentProgressBar(ft.UserControl):
def __init__(self):
super().__init__()
self.bar_color = "green"
self.bar_bgcolor = None
self.bar_bar_height = None
self.bar_tooltip = None
self.b... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/shadow_utils.py | Flet-Utils/utils/shadow_utils.py | from flet import *
import flet as ft
# todo: change link to docs
# the content of the shadow tab
class TabContentShadow(ft.UserControl):
def __init__(self):
super().__init__()
self.shadow_color = None
self.shadow_offset = None
self.shadow_blur_radius = None
self.shadow_s... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/shadermask_utils.py | Flet-Utils/utils/shadermask_utils.py | # import all the controls: if the shader mask requires controls which are not imported, an error is raised
from flet import *
import flet as ft
# the content of the ShaderMask tab
class TabContentShaderMask(ft.UserControl):
def __init__(self):
super().__init__()
self.shader_mask_obj = ft.Ref[ft.Sh... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/gradient_utils.py | Flet-Utils/utils/gradient_utils.py | import math
from flet import *
import flet as ft
# the content of the LinearGradient tab
class TabContentLinearGradient(ft.UserControl):
def __init__(self):
super().__init__()
self.container_obj = ft.Ref[ft.Container]()
# field for begin parameter of the LinearGradient object
self... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | true |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/progress_ring_utils.py | Flet-Utils/utils/progress_ring_utils.py | from flet import *
import flet as ft
# todo: width, height
# the content of the progress ring tab
class TabContentProgressRing(ft.UserControl):
def __init__(self):
super().__init__()
self.ring_color = None
self.ring_bgcolor = None
self.ring_stroke_width = None
self.ring_t... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/blur_utils.py | Flet-Utils/utils/blur_utils.py | import random
from flet import *
import flet as ft
# todo: change link to docs
# the content of the blur tab
class TabContentBlur(ft.UserControl):
def __init__(self):
super().__init__()
self.blur_sigma_y = None
self.blur_sigma_x = None
self.blur_tile_mode = None
self.b... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/icon_utils.py | Flet-Utils/utils/icon_utils.py | import math
from flet import *
import flet as ft
# the content of the icon tab
class TabContentIcon(ft.UserControl):
def __init__(self):
super().__init__()
self.icon_color = "red900"
self.icon_name = "cake_rounded"
self.icon_size = 65
self.icon_tooltip = None
self.... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/padding_utils.py | Flet-Utils/utils/padding_utils.py | import flet as ft
from flet import padding
# the content of the padding tab
class TabContentPadding(ft.UserControl):
def __init__(self):
super().__init__()
self.container_front = ft.Ref[ft.Container]()
self.container_back = ft.Ref[ft.Container]()
self.container_text = ft.Ref[ft.Tex... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/colors_utils.py | Flet-Utils/utils/colors_utils.py | import flet as ft
from itertools import islice
# the content of the ColorV1 tab
class TabContentColors1(ft.UserControl):
# all this below was obtained from https://github.com/ndonkoHenri/Flet-Color-Browser
def __init__(self, expand=True):
"""
If the expand parameter is set to True, then the e... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/border_utils.py | Flet-Utils/utils/border_utils.py | import flet as ft
# todo: add respective colors to each
# the content of the border tab
class TabContentBorder(ft.UserControl):
# border = border.only(BorderSide(2, "blue"), BorderSide(2, "blue"), BorderSide(2, "blue"), BorderSide(2, "blue"),)
def __init__(self):
super().__init__()
self.conta... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/icons_browser_utils.py | Flet-Utils/utils/icons_browser_utils.py | from itertools import islice
import flet as ft
# the content of the Icons tab
class TabContentIconsBrowser(ft.UserControl):
# all this below was obtained from https://github.com/flet-dev/examples/tree/main/python/apps/icons-browser
def __init__(self):
super().__init__()
def build(self):
... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/vertical_divider_utils.py | Flet-Utils/utils/vertical_divider_utils.py | from flet import *
import flet as ft
# the content of the vertical_divider tab
class TabContentVerticalDivider(ft.UserControl):
def __init__(self):
super().__init__()
self.vertical_divider_color = "green"
self.vertical_divider_tooltip = None
self.vertical_divider_thickness = 4
... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Flet-Utils/utils/shape_utils.py | Flet-Utils/utils/shape_utils.py | import flet as ft
# the content of the Shape tab
class TabContentShape(ft.UserControl):
def __init__(self):
super().__init__()
self.container_obj = ft.Ref[ft.Container]()
self.radios = ft.RadioGroup(
ft.Row(
[
ft.Radio(value="rectangle", lab... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/URL shortener/main.py | URL shortener/main.py | import flet as ft
import pyshorteners # pip install pyshorteners
shortener = pyshorteners.Shortener()
class ShortLinkRow(ft.Row):
# a row containing the shortened url, and two buttons ('copy', and 'open in browser')
def __init__(self, shortened_link, link_source):
"""
We create a new class ... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/QR Code Generator/main.py | QR Code Generator/main.py | import os
import flet as ft
import pyqrcode
# todo: add filepicker for image save on desktop
def main(page: ft.Page):
page.title = "QRcode Generator"
page.theme_mode = "light"
# page.window_always_on_top = True
page.splash = ft.ProgressBar(visible=False)
page.horizontal_alignment = "center"
p... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Markdown Editor/main.py | Markdown Editor/main.py | import flet as ft
import utils
# todo: output as pdf | add error dialog to handle errors
def main(page: ft.Page):
"""
App's entry point.
:param page: The page object
:type page: Page
"""
page.title = "Markdown Editor"
# page.window_always_on_top = True
page.theme_mode = "dark"
#... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
ndonkoHenri/Flet-Samples | https://github.com/ndonkoHenri/Flet-Samples/blob/a25c6aefa01e567fe25f2f29829625006bb925a3/Markdown Editor/utils.py | Markdown Editor/utils.py | import flet as ft
file_path = None
error_code = None
# dialog
def close_dialog(e):
"""Closes the Alert Dialog."""
e.page.dialog.open = False
e.page.update()
# dialog
def open_dialog(e):
"""Opens the Alert Dialog."""
e.page.dialog.open = True
e.page.update()
# progress bar / page.splash
de... | python | MIT | a25c6aefa01e567fe25f2f29829625006bb925a3 | 2026-01-05T07:10:51.971331Z | false |
AdrianVollmer/htun | https://github.com/AdrianVollmer/htun/blob/1591333d28637b0581226c58a17d27fb0296fc82/htun.py | htun.py | #!/usr/bin/env python3
# Adrian Vollmer 2018
from htun.main import main
if __name__ == '__main__':
main()
| python | MIT | 1591333d28637b0581226c58a17d27fb0296fc82 | 2026-01-05T07:10:54.310749Z | false |
AdrianVollmer/htun | https://github.com/AdrianVollmer/htun/blob/1591333d28637b0581226c58a17d27fb0296fc82/htun/tcp_server.py | htun/tcp_server.py | import logging
import socket
from htun.args import args
def create_socket():
logging.info("Waiting for connection... ")
_sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
_sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
_sock.bind((args.bindip, args.lport))
_sock.listen(1)
se... | python | MIT | 1591333d28637b0581226c58a17d27fb0296fc82 | 2026-01-05T07:10:54.310749Z | false |
AdrianVollmer/htun | https://github.com/AdrianVollmer/htun/blob/1591333d28637b0581226c58a17d27fb0296fc82/htun/tools.py | htun/tools.py | import logging
from htun.args import args
import subprocess
import random
import datetime
if args.debug:
try:
import hexdump
except ImportError:
logging.error(
"Debug mode impossible without the python module 'hexdump'. "
"Install it first.")
args.debug = False
... | python | MIT | 1591333d28637b0581226c58a17d27fb0296fc82 | 2026-01-05T07:10:54.310749Z | false |
AdrianVollmer/htun | https://github.com/AdrianVollmer/htun/blob/1591333d28637b0581226c58a17d27fb0296fc82/htun/http_client.py | htun/http_client.py | import logging
import urllib3
import socket
import select
import threading
import os
from htun.args import args
from htun.tools import dump, temp_filename, is_running
from urllib3.contrib.socks import SOCKSProxyManager
SOCK_FILE_SERVER = temp_filename("/tmp/htun_s_")
SOCK_FILE_CLIENT = temp_filename("/tmp/htun_c_")
... | python | MIT | 1591333d28637b0581226c58a17d27fb0296fc82 | 2026-01-05T07:10:54.310749Z | false |
AdrianVollmer/htun | https://github.com/AdrianVollmer/htun/blob/1591333d28637b0581226c58a17d27fb0296fc82/htun/udp_iface.py | htun/udp_iface.py | import select
import time
from htun.tools import dump, is_running
from htun.args import args
class TunnelServer(object):
def __init__(self, sock, addr, dstaddr):
self._rsock = sock
self._lsock = None
def run(self):
r = w = [self._lsock, self._rsock]
to_lsock = to_rsock = b''
... | python | MIT | 1591333d28637b0581226c58a17d27fb0296fc82 | 2026-01-05T07:10:54.310749Z | false |
AdrianVollmer/htun | https://github.com/AdrianVollmer/htun/blob/1591333d28637b0581226c58a17d27fb0296fc82/htun/main.py | htun/main.py | from htun.args import args
from htun.tools import stop_running, create_iptables_rules, \
delete_ip_tables_rules
from htun.http_server import run_server
from htun.tun_iface import TunnelServer
import logging
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger(__name__)
if args.uri:
is_serve... | python | MIT | 1591333d28637b0581226c58a17d27fb0296fc82 | 2026-01-05T07:10:54.310749Z | false |
AdrianVollmer/htun | https://github.com/AdrianVollmer/htun/blob/1591333d28637b0581226c58a17d27fb0296fc82/htun/args.py | htun/args.py | import argparse
import socket
parser = argparse.ArgumentParser(
description="htun tunnels IP traffic transparently over HTTP or TCP "
"(author: Adrian Vollmer)",
formatter_class=argparse.ArgumentDefaultsHelpFormatter
)
parser.add_argument('--debug', '-d', dest='debug', default=False,
... | python | MIT | 1591333d28637b0581226c58a17d27fb0296fc82 | 2026-01-05T07:10:54.310749Z | false |
AdrianVollmer/htun | https://github.com/AdrianVollmer/htun/blob/1591333d28637b0581226c58a17d27fb0296fc82/htun/__init__.py | htun/__init__.py | python | MIT | 1591333d28637b0581226c58a17d27fb0296fc82 | 2026-01-05T07:10:54.310749Z | false | |
AdrianVollmer/htun | https://github.com/AdrianVollmer/htun/blob/1591333d28637b0581226c58a17d27fb0296fc82/htun/http_server.py | htun/http_server.py | import threading
import socket
import select
import os
from http.server import BaseHTTPRequestHandler, HTTPServer
# import SocketServer
from htun.tools import dump, temp_filename
from htun.args import args
SOCK_FILE_SERVER = temp_filename("/tmp/htun_s_")
SOCK_FILE_CLIENT = temp_filename("/tmp/htun_c_")
# data from... | python | MIT | 1591333d28637b0581226c58a17d27fb0296fc82 | 2026-01-05T07:10:54.310749Z | false |
AdrianVollmer/htun | https://github.com/AdrianVollmer/htun/blob/1591333d28637b0581226c58a17d27fb0296fc82/htun/tcp_client.py | htun/tcp_client.py | import socket
import socks
from htun.args import args
def create_socket():
if args.proxy:
server_socket = socks.socksocket()
proto, rest = args.proxy.split('://')
host, port = rest.split(':')
port = int(port)
if proto == "socks4":
server_socket.set_proxy(socks.S... | python | MIT | 1591333d28637b0581226c58a17d27fb0296fc82 | 2026-01-05T07:10:54.310749Z | false |
AdrianVollmer/htun | https://github.com/AdrianVollmer/htun/blob/1591333d28637b0581226c58a17d27fb0296fc82/htun/tun_iface.py | htun/tun_iface.py | import logging
import select
import socket
import pytun
import errno
import time
# import base64
from htun.tools import dump, add_route, is_running, print_stats
from htun.args import args
class TunnelServer(object):
def __init__(self, sock, addr, dstaddr, create_socket=None):
logging.debug("Initiate Tun... | python | MIT | 1591333d28637b0581226c58a17d27fb0296fc82 | 2026-01-05T07:10:54.310749Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/setup.py | setup.py | # -*- coding:utf-8 -*-
#--
# Copyright (c) 2012-2015 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
#--
from setuptools import setup, find_packages
from codecs import open # To u... | python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/static/__init__.py | static/__init__.py | #--
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
#--
| python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/kansha/populate.py | kansha/populate.py | # -*- coding:utf-8 -*-
#--
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
#--
from .board.models import create_template_empty, create_template_todo
def... | python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/kansha/security.py | kansha/security.py | # -*- coding:utf-8 -*-
#--
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
#--
from base64 import b64encode, b64decode
from Crypto import Random
from peak... | python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/kansha/models.py | kansha/models.py | # -*- coding:utf-8 -*-
#--
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
#--
from __future__ import absolute_import
from elixir import EntityBase
from ... | python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/kansha/validator.py | kansha/validator.py | # -*- coding:utf-8 -*-
#--
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
#--
import re
import string
import ntpath
from lxml import html
from nagare im... | python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/kansha/exceptions.py | kansha/exceptions.py | # -*- coding:utf-8 -*-
#--
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
#--
class NotFound(Exception):
pass
class BoardNotFound(Exception):
... | python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/kansha/menu.py | kansha/menu.py | # -*- coding:utf-8 -*-
#--
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
#--
from collections import namedtuple
MenuEntry = namedtuple('MenuEntry', 'la... | python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/kansha/events.py | kansha/events.py | # -*- coding:utf-8 -*-
# --
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
# --
class EventHandlerMixIn(object):
"""
Mix-in that implements:
... | python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/kansha/helpers.py | kansha/helpers.py | #-*- coding: utf-8 -*-
#--
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
#--
#=-
# (C)opyright PagesJaunes 2011
#
# This is Pagesjaunes proprietary sour... | python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/kansha/__init__.py | kansha/__init__.py | #--
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
#--
import pkg_resources
VERSION = pkg_resources.get_distribution('kansha').version
| python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/kansha/pickle.py | kansha/pickle.py | #--
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
#--
from __future__ import absolute_import
import pickle
from nagare import database
# if objgraph ... | python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/kansha/notifications.py | kansha/notifications.py | # -*- coding:utf-8 -*-
# --
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
# --
#FIXME: this should be a board extension
from __future__ import absolute... | python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/kansha/card_addons/__init__.py | kansha/card_addons/__init__.py | #--
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
#-- | python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/kansha/card_addons/vote/comp.py | kansha/card_addons/vote/comp.py | # -*- coding:utf-8 -*-
#--
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
#--
from nagare import security
from peak.rules import when
from nagare.securit... | python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/kansha/card_addons/vote/view.py | kansha/card_addons/vote/view.py | # -*- coding:utf-8 -*-
#--
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
#--
from nagare.i18n import _
from nagare import presentation, security
from .... | python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/kansha/card_addons/vote/models.py | kansha/card_addons/vote/models.py | # -*- coding:utf-8 -*-
#--
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
#--
from sqlalchemy import func
from elixir import ManyToOne
from elixir import... | python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/kansha/card_addons/vote/__init__.py | kansha/card_addons/vote/__init__.py | #--
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
#--
from . import view
from .models import DataVote
| python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
Net-ng/kansha | https://github.com/Net-ng/kansha/blob/85b5816da126b1c7098707c98f217d8b2e524ff2/kansha/card_addons/vote/tests.py | kansha/card_addons/vote/tests.py | # -*- coding:utf-8 -*-
#--
# Copyright (c) 2012-2014 Net-ng.
# All rights reserved.
#
# This software is licensed under the BSD License, as described in
# the file LICENSE.txt, which you should have received as part of
# this distribution.
#--
from kansha.cardextension.tests import CardExtensionTestCase
from .comp im... | python | BSD-3-Clause | 85b5816da126b1c7098707c98f217d8b2e524ff2 | 2026-01-05T07:10:52.983810Z | false |
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