index int64 | repo_name string | branch_name string | path string | content string | import_graph string |
|---|---|---|---|---|---|
84,842 | nagadomi/nunif | refs/heads/master | /nunif/utils/seam_blending.py | import math
import torch
import torch.nn.functional as F
from .. models import get_model_config, get_model_device
from .. device import autocast
class SeamBlending(torch.nn.Module):
def __init__(self, x_shape, scale, offset, tile_size, blend_size):
super().__init__()
C, H, W = x_shape
con... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,843 | nagadomi/nunif | refs/heads/master | /nunif/models/register.py | import inspect
from torch import nn
from . model import Model
from .. logger import logger
from .. device import create_device
_models = {}
def register_model(cls):
assert issubclass(cls, Model)
global _models
_models[cls.name] = cls
logger.debug("register %s -> %s", cls.name, repr(cls))
if hasa... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,844 | nagadomi/nunif | refs/heads/master | /nunif/transforms/functional.py | import torch
from torch.nn import functional as F
_clip_eps8 = (1.0 / 255.0) * 0.5 - (1.0e-7 * (1.0 / 255.0) * 0.5)
_clip_eps16 = (1.0 / 65535.0) * 0.5 - (1.0e-7 * (1.0 / 65535.0) * 0.5)
def quantize256(ft):
return (ft + _clip_eps8).mul_(255.0).clamp_(0, 255).to(torch.uint8)
def quantize65535(ft):
return ... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,845 | nagadomi/nunif | refs/heads/master | /imagenet/__init__.py | from .class_names import CLASS_NAMES
from . import models
| {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,846 | nagadomi/nunif | refs/heads/master | /nunif/cli/merge_model.py | # merge 2 models
import os
from os import path
import argparse
from .. models import load_model, save_model
from .. models.utils import merge_state_dict
from .. addon import load_addons
def main():
load_addons()
parser = argparse.ArgumentParser()
parser.add_argument("--input", "-i", type=str, nargs="+", r... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,847 | nagadomi/nunif | refs/heads/master | /imagenet/training/dataset.py | import torch
from torchvision.datasets import ImageNet
from torchvision import transforms as T
from torchvision.transforms import (
functional as TF,
InterpolationMode
)
class Normalize():
def __init__(self, mode="imagenet"):
if mode == "none":
self.f = lambda x: x
elif mode ==... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,848 | nagadomi/nunif | refs/heads/master | /nunif/modules/channel_weighted_loss.py | from torch import nn
class ChannelWeightedLoss(nn.Module):
""" Wrapper Module for channel weight
"""
def __init__(self, module, weight):
super().__init__()
self.module = module
self.weight = weight
def forward(self, input, target):
b, ch, *_ = input.shape
asser... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,849 | nagadomi/nunif | refs/heads/master | /nunif/__init__.py | from . import models
from . import modules
from . import transforms
from . import training
from . import initializer
__version__ = "0.0.1"
__all__ = ["models", "modules", "transforms", "training", "initializer"]
| {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,850 | nagadomi/nunif | refs/heads/master | /nunif/utils/blend.py | # layer composite / blend mode
# TODO: optimize
import torch
def blend(a, b, alpha):
return a * alpha + b * (1. - alpha)
def multiply(a, b):
return a * b
def screen(a, b):
return 1. - (2. * (1. - a) * (1. - b))
def overlay(a, b):
out = torch.empty(a.shape, dtype=a.dtype, device=a.device)
th ... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,851 | nagadomi/nunif | refs/heads/master | /nunif/modules/pad.py | import torch.nn as nn
import torch.nn.functional as F
class Pad(nn.Module):
"""
A wrapper for F.pad.
Note that F.pad is not specialized for BCHW.
pad=(1, 1) applies padding only to the last dimension(=W).
Also supports mode="zeros" for compatibility with Conv2d.
"""
def __init__(self, pad,... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,852 | nagadomi/nunif | refs/heads/master | /nunif/training/weight_decay_config.py | # Adapted from nanoGPT: https://github.com/karpathy/nanoGPT/blob/master/model.py
# MIT License: Copyright (c) 2022 Andrej Karpathy
#
# Adding modules used in this repo by nagadomi
import torch
from torchvision.models.swin_transformer import ShiftedWindowAttentionV2, ShiftedWindowAttention
from ..modules.norm import Lay... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,853 | nagadomi/nunif | refs/heads/master | /nunif/transforms/__init__.py | from .std import (
Identity, RandomFlip,
RandomJPEG, RandomDownscale, RandomChannelShuffle,
RandomSRHardExampleCrop, ReflectionResize, ModCrop,
)
__all__ = [
"Identity", "RandomFlip",
"RandomJPEG", "RandomDownscale", "RandomChannelShuffle",
"RandomSRHardExampleCrop", "ReflectionResize", "ModCr... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,854 | nagadomi/nunif | refs/heads/master | /iw3/training/sbs/create_training_data.py | import os
import sys
import argparse
from os import path
from tqdm import tqdm
import random
from torchvision.transforms import (
functional as TF,
InterpolationMode)
from nunif.utils.pil_io import load_image_simple
from PIL.PngImagePlugin import PngInfo
from nunif.utils.image_loader import ImageLoader, list_im... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,855 | nagadomi/nunif | refs/heads/master | /nunif/addon.py | import os
from os import path
# TODO: train
class Addon():
def __init__(self, name):
self.name = name
def name(self):
return self.name
def register_create_training_data(self, subparser, default_parser):
pass
def register_train(self, subparser, default_parser):
pass
... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,856 | nagadomi/nunif | refs/heads/master | /nunif/modules/lbp_loss.py | import torch
from torch import nn
from .charbonnier_loss import CharbonnierLoss
from .clamp_loss import ClampLoss
from .channel_weighted_loss import LuminanceWeightedLoss, AverageWeightedLoss
def generate_lbcnn_filters(size, sparcity=0.9, seed=71):
""" from Local Binary Convolutional Neural Network
"""
ou... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,857 | nagadomi/nunif | refs/heads/master | /nunif/modules/embedding.py | import torch
import torch.nn as nn
class SoftEmbedding(nn.Module):
def __init__(self, in_channels, out_channels):
super().__init__()
self.k = nn.Sequential(
nn.Linear(in_channels, out_channels),
nn.ReLU(inplace=True),
nn.Linear(out_channels, out_channels))
... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,858 | nagadomi/nunif | refs/heads/master | /iw3/gui.py | import nunif.pythonw_fix # noqa
import locale
import sys
import os
from os import path
import gc
import traceback
import functools
from time import time
import threading
import wx
from wx.lib.delayedresult import startWorker
import wx.lib.agw.persist as wxpm
from wx.lib.buttons import GenBitmapButton
from .utils impor... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,859 | nagadomi/nunif | refs/heads/master | /cliqa/nunif_addon.py | from nunif.addon import Addon
from . import models # noqa
def addon_config():
return [CLIQAJPEGNoiseAddon(), CLIQAGrainNoiseAddon()]
class CLIQAJPEGNoiseAddon(Addon):
def __init__(self):
super().__init__("cliqa.jpeg")
def register_train(self, subparsers, default_parser):
from .training.... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,860 | nagadomi/nunif | refs/heads/master | /nunif/modules/psnr.py | import torch
from torch import nn
"""
PSNR module designed for evaluation.
Note that this is not a loss function for training.
"""
class PSNR(nn.Module):
def __init__(self):
super().__init__()
self.mse = nn.MSELoss()
def forward(self, input, target):
mse = self.mse(torch.clamp(input... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,861 | nagadomi/nunif | refs/heads/master | /playground/jpeg_qtable/collect_qtable.py | import json
import os
from os import path
import torch
import argparse
DEFAULT_INPUT_DIR = path.relpath(path.join(path.dirname(__file__), "..", "..",
"tmp", "search_qtable"))
def main():
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpForm... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,862 | nagadomi/nunif | refs/heads/master | /waifu2x/training/dot_generator.py | # random dot image generator
# port from waifu2x/image_generator/dot
from PIL import Image
import random
import numpy as np
import math
import argparse
from tqdm import tqdm
import os
from os import path
# File name prefix for specifying the downsampling filter
# This used in dataset.py
NEAREST_PREFIX = "__NEAREST_"... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,863 | nagadomi/nunif | refs/heads/master | /nunif/training/env.py | import sys
import torch
import torch.nn as nn
from tqdm import tqdm
from . confusion_matrix import SoftmaxConfusionMatrix
from .. models.utils import get_model_config, get_model_device
from .. modules import ClampLoss, LuminanceWeightedLoss, LuminancePSNR, PSNR
from .. device import autocast
from abc import ABC, abstra... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,864 | nagadomi/nunif | refs/heads/master | /waifu2x/models/swin_unet.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import copy
from nunif.models import I2IBaseModel, register_model
from torchvision.models.swin_transformer import (
# use SwinTransformer V1
SwinTransformerBlock as SwinTransformerBlockV1,
)
# No LayerNorm
def NO_NORM_LAYER(dim):
return nn... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,865 | nagadomi/nunif | refs/heads/master | /text_resource/char/char.py | from os import path
import sys
assert sys.version_info > (3, 9)
class Char():
jis1 = None
hiragana = None
hiragana_basic = None
@classmethod
@property
def JIS1(cls):
if cls.jis1 is None:
with open(path.join(path.dirname(__file__), "jis1.txt"),
mode=... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,866 | nagadomi/nunif | refs/heads/master | /nunif/modules/jaccard.py | from torch import nn
def single_channel_jaccard_index(input, target, threshold=0.5):
# shape = HW
assert (input.ndim == 2 and target.ndim == 2 and input.shape == target.shape)
a = (input >= threshold).long()
b = (target >= threshold).long()
a_count = a.sum().item()
b_count = b.sum().item()
... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,867 | nagadomi/nunif | refs/heads/master | /nunif/utils/ui.py | import os
from os import path
import sys
import torch
import mimetypes
class HiddenPrints:
def __enter__(self):
self._original_stdout = sys.stdout
self._original_stderr = sys.stderr
sys.stdout = open(os.devnull, 'w')
sys.stderr = open(os.devnull, 'w')
def __exit__(self, exc_ty... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,868 | nagadomi/nunif | refs/heads/master | /waifu2x/web/webgen/gen.py | import bottle
import argparse
import os
from os import path
import yaml
import shutil
def load_locales(lang_dir):
locales = {}
for ent in os.listdir(lang_dir):
if not ent.endswith(".yml"):
continue
lang = path.splitext(ent)[0]
with open(path.join(lang_dir, ent), mode="r", e... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,869 | nagadomi/nunif | refs/heads/master | /waifu2x/models/vgg_7.py | import torch
import torch.nn as nn
from nunif.models import I2IBaseModel, register_model
@register_model
class VGG7(I2IBaseModel):
name = "waifu2x.vgg_7"
def __init__(self, in_channels=3, out_channels=3):
super(VGG7, self).__init__(locals(), scale=1, offset=7, in_channels=in_channels)
self.ne... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,870 | nagadomi/nunif | refs/heads/master | /iw3/training/sbs/dataset.py | import torch
from torch.utils.data.dataset import Dataset
from torchvision.transforms import (
functional as TF,
)
from nunif.utils.image_loader import ImageLoader
from nunif.utils import pil_io
from nunif.training.sampler import HardExampleSampler, MiningMethod
from os import path
import random
from PIL import Ima... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,871 | nagadomi/nunif | refs/heads/master | /imagenet/nunif_addon.py | from nunif.addon import Addon
def addon_config():
return ImageNetAddon()
class ImageNetAddon(Addon):
def __init__(self):
super().__init__("imagenet")
def register_train(self, subparsers, default_parser):
from .training.trainer import register
return register(subparsers, default_... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,872 | nagadomi/nunif | refs/heads/master | /playground/som/train_aesom_mnist.py | # AE-SOM
# python3 -m playground.som.train_aesom_mnist
from torchvision.datasets import MNIST
from torchvision import transforms as T
from torchvision.transforms import functional as TF
from torchvision.utils import make_grid
import torch
from torch import nn
from torch.nn import functional as F
from os import path
imp... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,873 | nagadomi/nunif | refs/heads/master | /nunif/transforms/std.py | from PIL import Image
from torchvision import transforms as T
from torchvision.transforms import (
functional as TF,
InterpolationMode
)
import random
from io import BytesIO
class Identity():
def __init__(self):
pass
def __call__(self, x):
return x
class RandomSRHardExampleCrop():
... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,874 | nagadomi/nunif | refs/heads/master | /nunif/training/trainer.py | import os
from os import path
import argparse
from multiprocessing import cpu_count
import torch
import torch.optim as optim
from torch.optim.lr_scheduler import (
StepLR, MultiStepLR, CosineAnnealingWarmRestarts,
ConstantLR, ChainedScheduler
)
from ..optim import Lion
from ..models import create_model, save_mo... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,875 | nagadomi/nunif | refs/heads/master | /waifu2x/training/jpeg_noise.py | # JPEG Noise level processing porting from original waifu2x
import random
from io import BytesIO
from PIL import Image
from torchvision.transforms import functional as TF
import torch
from os import path
# p of random apply
NR_RATE = {
"art": {
0: 0.65,
1: 0.65,
2: 0.65,
3: 1.0,
... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,876 | nagadomi/nunif | refs/heads/master | /nunif/cli/show_train_args.py | # python -m nunif.cli.show_train_args -i models/photo_gan/*checkpoint.pth
import argparse
from .. models import load_model
from .. addon import load_addons
from pprint import pprint
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--input", "-i", type=str, nargs="+", required=True, help="in... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,877 | nagadomi/nunif | refs/heads/master | /nunif/modules/discriminator_loss.py | import torch
import torch.nn as nn
import torch.nn.functional as F
class DiscriminatorBCELoss(nn.Module):
def __init__(self):
super().__init__()
self.bce = nn.BCEWithLogitsLoss()
def forward(self, real, fake=None):
if real is not None and fake is not None:
t_real = torch.o... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,878 | nagadomi/nunif | refs/heads/master | /waifu2x/__init__.py | from .utils import Waifu2x
from . import models
__all__ = ["Waifu2x", "models"]
| {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,879 | nagadomi/nunif | refs/heads/master | /iw3/download_models.py | from . import zoedepth_model as ZU
def main():
ZU.force_update_midas()
ZU.force_update_zoedepth()
if not ZU.has_model():
ZU.load_model(gpu=-1)
if __name__ == "__main__":
main()
| {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,880 | nagadomi/nunif | refs/heads/master | /nunif/utils/image_loader.py | import os
import sys
from time import sleep
from threading import Thread, Event
from queue import Queue
from .. logger import logger
from . import pil_io
import mimetypes
# Add missing mimetypes
mimetypes.add_type("image/webp", ".webp")
mimetypes.add_type("image/vnd.ms-dds", ".dds")
# TODO: there are other extensio... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,881 | nagadomi/nunif | refs/heads/master | /playground/vit/train_cifar10_my.py | # A ViT designed from what I heard
# 92% accuracy on CIFAR10 using only CIFAR10 training data,
# python3 -m playground.vit.train_cifar10_my --data-dir ./tmp/vit --model-dir ./tmp/vit
from torchvision.datasets import CIFAR10
from torchvision import transforms as T
from torchvision.transforms import functional as TF
impo... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,882 | nagadomi/nunif | refs/heads/master | /playground/som/train_mnist.py | # SOM
# python3 -m playground.som.train_mnist
from torchvision.datasets import MNIST
from torchvision import transforms as T
from torchvision.transforms import functional as F
from torchvision.utils import make_grid
import torch
from torch import nn
from os import path
import math
from tqdm import tqdm
from PIL import ... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,883 | nagadomi/nunif | refs/heads/master | /iw3/nunif_addon.py | from nunif.addon import Addon
from . import models # noqa
def addon_config():
return SBS3DAddon()
class SBS3DAddon(Addon):
def __init__(self):
super().__init__("sbs")
def register_create_training_data(self, subparsers, default_parser):
from .training.sbs.create_training_data import regi... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,884 | nagadomi/nunif | refs/heads/master | /text_resource/aozora/db.py | import csv
import os
from os import path
from dataclasses import dataclass
from enum import Enum
from glob import glob
DATA_DIR = path.join(path.dirname(__file__), "data")
@dataclass
class AozoraItem():
author_id: str
author: str
title_id: str
title: str
kana_type: str
file_path: str
fil... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,885 | nagadomi/nunif | refs/heads/master | /cliqa/utils.py | import sys
from PIL import Image
import torch
import torchvision.transforms.functional as TF
from torch.utils.data.dataset import Dataset
from torch.utils.data import DataLoader
from nunif.models import get_model_device
from nunif.utils.image_loader import list_images
from nunif.utils import pil_io
from nunif.device im... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,886 | nagadomi/nunif | refs/heads/master | /waifu2x/cli.py | from .ui_utils import create_parser, set_state_args, waifu2x_main
from . import models # noqa
def main():
parser = create_parser()
args = parser.parse_args()
set_state_args(args)
waifu2x_main(args)
if __name__ == "__main__":
main()
| {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,887 | nagadomi/nunif | refs/heads/master | /playground/diffusers/show_vae_diff.py | # Show VAE encode -> decode degradation result
#
# pip3 install opencv-python
# pip3 install --upgrade diffusers[torch]
#
# python -m playground.diffusers.show_vae_diff -i path_to_image.png
from diffusers import AutoencoderKL
from nunif.utils import pil_io
import argparse
import cv2
import torch
import torchvision.tra... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,888 | nagadomi/nunif | refs/heads/master | /nunif/modules/__init__.py | from . attention import SEBlock
from . lbp_loss import LBPLoss, RandomBinaryConvolution
from . alex11_loss import Alex11Loss
from . clamp_loss import ClampLoss
from . auxiliary_loss import AuxiliaryLoss
from . channel_weighted_loss import (
ChannelWeightedLoss, LuminanceWeightedLoss, AverageWeightedLoss
)
from . ja... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,889 | nagadomi/nunif | refs/heads/master | /playground/vae/train_celeba.py | # Conv VAE
# python3 -m playground.vae.train_celeba --data-dir ./tmp/vae --model-dir ./tmp/vae --latent-dim 2
from torchvision.datasets import CelebA
from torchvision import transforms as T
from torchvision.transforms import functional as TF
from torchvision.utils import make_grid
import torch
from torch import nn
from... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,890 | nagadomi/nunif | refs/heads/master | /nunif/models/__init__.py | from . model import Model, I2IBaseModel, SoftmaxBaseModel
from . utils import (
load_model, save_model,
get_model_config, get_model_kwargs, get_model_device, call_model_method,
compile_model, is_compiled_model
)
from . register import (
register_model, create_model, register_models, get_model_names,
... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,891 | nagadomi/nunif | refs/heads/master | /playground/vit/train_cifar10_swin.py | # SwinTransformer with torchvision.models
# 93.7% accuracy on CIFAR10 using only CIFAR10 training data,
# python3 -m playground.vit.train_cifar10_swin --data-dir ./tmp/vit --model-dir ./tmp/vit
from torchvision.models import SwinTransformer
from torchvision.datasets import CIFAR10
from torchvision import transforms as ... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,892 | nagadomi/nunif | refs/heads/master | /imagenet/models/__init__.py | import os
import importlib
from .torchvision_models import VGG11BN
__all__ = ["VGG11BN"]
# autoload for experimental models
# _*.py
_globals = globals()
for mod_file in os.listdir(os.path.dirname(__file__)):
if (mod_file not in {"__init__.py", "__main__.py"} and
mod_file.startswith("_") and mod_file... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,893 | nagadomi/nunif | refs/heads/master | /iw3/training/extract_keyframes.py | # tool to extract keyframe images from video
import argparse
import os
from os import path
from PIL import Image
from nunif.utils.video import process_video_keyframes
def main():
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument("--input", "-i", type=... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,894 | nagadomi/nunif | refs/heads/master | /text_resource/aozora/utils.py | import re
import math
from nunif.utils import text as T
def load_content(text_file):
content = []
with open(text_file, mode="r", encoding="cp932") as f:
lines = list(f.readlines())
start = False
for i, line in enumerate(lines):
if not start:
if line.startswi... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,895 | nagadomi/nunif | refs/heads/master | /waifu2x/training/screentone_generator.py | # random screentone image generator
# python3 -m waifu2x.training.screentone_generator -n 100 -o ./screentone_test
from PIL import Image, ImageDraw
import random
import numpy as np
import argparse
from tqdm import tqdm
import os
from os import path
from torchvision import transforms as T
from torchvision.transforms imp... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,896 | nagadomi/nunif | refs/heads/master | /waifu2x/models/json_model.py | import json
import torch
import torch.nn as nn
from nunif.logger import logger
def load_state_from_waifu2x_json(model, json_file, skip_upsample_weight=False):
logger.debug(f"load_state_from_waifu2x_json: {json_file}")
with open(json_file, "r") as f:
params = json.load(f)
param_index = 0
for m ... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,897 | nagadomi/nunif | refs/heads/master | /waifu2x/training/dataset.py | import random
import torch
from torch.utils.data.dataset import Dataset
from torchvision.transforms import (
functional as TF,
InterpolationMode,
)
from torchvision import transforms as T
from nunif.utils.image_loader import ImageLoader
from nunif.utils import pil_io
from nunif.transforms import pair as TP
from... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,898 | nagadomi/nunif | refs/heads/master | /nunif/modules/attention.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import math
from torch.nn.utils.parametrizations import spectral_norm
class SEBlock(nn.Module):
""" from Squeeze-and-Excitation Networks
"""
def __init__(self, in_channels, reduction=8, bias=False):
super(SEBlock, self).__init__()
... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,899 | nagadomi/nunif | refs/heads/master | /waifu2x/training/calibrate_output.py | import argparse
from tqdm import tqdm
import torch
import torch.nn as nn
from nunif.models import load_model, save_model, get_model_config
def calibrate_output():
class RGBCalibration(nn.Module):
def __init__(self):
super().__init__()
self.rgb = nn.Parameter(torch.zeros((1, 3, 1, 1... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,900 | nagadomi/nunif | refs/heads/master | /font_resource/font_map.py | # generated by font_resource.list
# Note that the directory separator is assumed to be posixpath(`/`).
# It is replaced by the platform directory separator in `utils.py:native_path()`.
FONT_MAP = \
{'BIZ UDGothic': 'BIZ_UDGothic/BIZUDGothic-Regular.ttf',
'BIZ UDGothic Bold': 'BIZ_UDGothic/BIZUDGothic-Bold.ttf',
'BI... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,901 | nagadomi/nunif | refs/heads/master | /playground/jpeg_qtable/search_qtable.py | from PIL import Image
import os
from os import path
import random
import torch
import torch.nn.functional as F
import torchvision.transforms.functional as TF
import io
import json
import argparse
import time
TEST_IMAGE = path.join(path.dirname(__file__), "images", "donut_noisy.png")
OUTPUT_DIR = path.relpath(path.joi... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,902 | nagadomi/nunif | refs/heads/master | /waifu2x/training/create_training_data.py | import os
import sys
import argparse
from os import path
from tqdm import tqdm
import random
import torchvision.transforms.functional as TF
from torch.utils.data.dataset import Dataset
from torch.utils.data import DataLoader
from nunif.utils.pil_io import load_image_simple
from nunif.utils.image_loader import list_imag... | {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,903 | nagadomi/nunif | refs/heads/master | /nunif/pythonw_fix.py | import sys
import os
if sys.executable.endswith("pythonw.exe"):
"""
python code started from pythonw.exe crashes when accessing stdout/stderr.
so reopen stdout/stderr with devnull.
"""
sys.stdout = open(os.devnull, "w")
sys.stderr = open(os.devnull, "w")
| {"/waifu2x/gui.py": ["/nunif/pythonw_fix.py", "/waifu2x/ui_utils.py", "/nunif/utils/image_loader.py", "/nunif/utils/video.py", "/nunif/utils/gui.py", "/waifu2x/locales/__init__.py", "/waifu2x/__init__.py"], "/waifu2x/web/__main__.py": ["/waifu2x/download_models.py", "/waifu2x/web/webgen/gen.py", "/waifu2x/web/server.py... |
84,954 | mHassan11/Youtube-Search-Automation | refs/heads/main | /search_yt.py | from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import time
from selenium.webdriver.common.keys import Keys
from time import sleep
import urllib
#search string is query term for YT search,
#page number is the number of result page (from search)
def youtube_search(search_s... | {"/script.py": ["/search_yt.py"]} |
84,955 | mHassan11/Youtube-Search-Automation | refs/heads/main | /script.py | from search_yt import youtube_search
import random
import json
def main():
file = "query.txt"
temp = open(file,'r').read().split('\t\n')
print(len(temp))
selected_list = random.sample(temp, 50)
print(len(selected_list))
dict_result = {}
for query_term in selected_list:
... | {"/script.py": ["/search_yt.py"]} |
84,964 | rknightly/crawler-collage | refs/heads/master | /crawler_collage.py | #!/usr/bin/python3
import urllib.request
import urllib.parse
from urllib import request, error
from urllib.parse import urlparse, urljoin
from bs4 import BeautifulSoup
import re
import os
from collage_maker import collage_maker
import hashlib
def verify_real_url(url):
"""Return True if a url is legitimate or fal... | {"/tests/test_image_data.py": ["/crawler_collage.py"], "/tests/test_crawler.py": ["/crawler_collage.py"], "/tests/test_page.py": ["/crawler_collage.py"]} |
84,965 | rknightly/crawler-collage | refs/heads/master | /collage_maker/collage_maker.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------
# Author: delimitry
# slightly edited by Ryan Knightly
# -----------------------------------------------------------------------
import os
import random
from PIL import Image
from optparse import O... | {"/tests/test_image_data.py": ["/crawler_collage.py"], "/tests/test_crawler.py": ["/crawler_collage.py"], "/tests/test_page.py": ["/crawler_collage.py"]} |
84,966 | rknightly/crawler-collage | refs/heads/master | /tests/test_image_data.py | from unittest import TestCase
class TestMakeName(TestCase):
def test_alt_given(self):
from crawler_collage import ImageData
image = ImageData(image_url="https://en.wikipedia.org/static/images/"
"wikimedia-button.png",
alt_text="Wikimed... | {"/tests/test_image_data.py": ["/crawler_collage.py"], "/tests/test_crawler.py": ["/crawler_collage.py"], "/tests/test_page.py": ["/crawler_collage.py"]} |
84,967 | rknightly/crawler-collage | refs/heads/master | /tests/test_crawler.py | from unittest import TestCase
class BasicSettings:
"""Contain a basic user input to use in test cases"""
def __init__(self):
from crawler_collage import CrawlerUserInput
self.settings = CrawlerUserInput()
self.settings.user_url = "http://rknightly.github.io/introHtml.html"
se... | {"/tests/test_image_data.py": ["/crawler_collage.py"], "/tests/test_crawler.py": ["/crawler_collage.py"], "/tests/test_page.py": ["/crawler_collage.py"]} |
84,968 | rknightly/crawler-collage | refs/heads/master | /tests/test_page.py | from unittest import TestCase
class TestGetUrlBase(TestCase):
def test_base_url(self):
from crawler_collage import Page
page = Page("https://en.wikipedia.org")
self.assertEqual(page.get_url_base(), "https://en.wikipedia.org",
"Url base was incorrectly found when ... | {"/tests/test_image_data.py": ["/crawler_collage.py"], "/tests/test_crawler.py": ["/crawler_collage.py"], "/tests/test_page.py": ["/crawler_collage.py"]} |
84,978 | soorajsknair93/PureThermal2-FLIR-Lepton3.5-Interfacing-Python | refs/heads/main | /main.py | from thermal_camera_init import *
from uvctypes import *
import cv2
#### To stream thermal cam frames
cam_source = ThermalCamera()
for thermal_frame in cam_source.read_thermal_data():
print(thermal_frame.shape)
radiometric_image = cam_source.raw_to_8bit(thermal_frame)
cv2.imshow("radio metric image", r... | {"/main.py": ["/thermal_camera_init.py"]} |
84,979 | soorajsknair93/PureThermal2-FLIR-Lepton3.5-Interfacing-Python | refs/heads/main | /thermal_camera_init.py | from queue import Queue
from uvctypes import *
import numpy as np
import cv2
class ThermalCamera:
def __init__(self):
self.BUF_SIZE = 2
self.q = Queue(self.BUF_SIZE)
self.PTR_PY_FRAME_CALLBACK = CFUNCTYPE(None, POINTER(uvc_frame), c_void_p)(self.py_frame_callback)
self.ctx = POINTE... | {"/main.py": ["/thermal_camera_init.py"]} |
84,989 | iFOliva/DesafioCTP-1TDSH-FIAP | refs/heads/master | /util/getSubject.py | def getSubject(df):
header = df.columns
subject = header[2]
return subject
| {"/relatorio2.py": ["/util/average.py", "/util/getColumns.py", "/util/getSubject.py", "/util/getStudents.py"], "/relatorio1.py": ["/util/average.py", "/util/getColumns.py", "/util/getSubject.py", "/util/getStudents.py"]} |
84,990 | iFOliva/DesafioCTP-1TDSH-FIAP | refs/heads/master | /util/getStudents.py | def getStudents(columns, df):
students = []
for row in range(df.shape[0]):
if(row > 1):
i = 0
student = {}
for col in range(df.shape[1]):
value = str(df.iat[row, col])
if(value.lower() != 'nan'):
student[columns[i... | {"/relatorio2.py": ["/util/average.py", "/util/getColumns.py", "/util/getSubject.py", "/util/getStudents.py"], "/relatorio1.py": ["/util/average.py", "/util/getColumns.py", "/util/getSubject.py", "/util/getStudents.py"]} |
84,991 | iFOliva/DesafioCTP-1TDSH-FIAP | refs/heads/master | /util/getColumns.py | import unidecode
def getColumns(df):
columns = []
for col in range(df.shape[1]):
value = str(df.iat[1, col])
if (value != 'nan'):
columns.append(unidecode.unidecode(value))
return columns
| {"/relatorio2.py": ["/util/average.py", "/util/getColumns.py", "/util/getSubject.py", "/util/getStudents.py"], "/relatorio1.py": ["/util/average.py", "/util/getColumns.py", "/util/getSubject.py", "/util/getStudents.py"]} |
84,992 | iFOliva/DesafioCTP-1TDSH-FIAP | refs/heads/master | /util/average.py | def calcCheckpoints(checkpoints: list) -> int:
"""Recebe uma lista de 3 notas e devolve a média aritmética dos dois maiores números.
Argumentos da função:
checkpoints - uma lista de 3 notas. Ex: [5, 6.5, 10]
"""
average = 0
checkpoints.sort(reverse=True)
for i in checkpoints[0:2]:
... | {"/relatorio2.py": ["/util/average.py", "/util/getColumns.py", "/util/getSubject.py", "/util/getStudents.py"], "/relatorio1.py": ["/util/average.py", "/util/getColumns.py", "/util/getSubject.py", "/util/getStudents.py"]} |
84,993 | iFOliva/DesafioCTP-1TDSH-FIAP | refs/heads/master | /relatorio3.py | import pandas as pd
tabela = pd.read_excel("./samples/notas_planilha_sample.xlsx")
def relatorio3(semestre1: float, checkpointAverage: float, challengeAverage: float):
"""Recebe a nota do semestre 1, a média de checkpoints, challenges e retorna o nome e RM dos alunos aprovados sem a nota do Global Solutions.
... | {"/relatorio2.py": ["/util/average.py", "/util/getColumns.py", "/util/getSubject.py", "/util/getStudents.py"], "/relatorio1.py": ["/util/average.py", "/util/getColumns.py", "/util/getSubject.py", "/util/getStudents.py"]} |
84,994 | iFOliva/DesafioCTP-1TDSH-FIAP | refs/heads/master | /relatorio2.py | import pandas as pd
import util.average as avg
from util.getColumns import getColumns
from util.getSubject import getSubject
from util.getStudents import getStudents
df = pd.read_excel('./samples/notas_planilha_sample.xlsx')
alunos = []
def relatorio2(students):
for student in students:
listCheckpoints... | {"/relatorio2.py": ["/util/average.py", "/util/getColumns.py", "/util/getSubject.py", "/util/getStudents.py"], "/relatorio1.py": ["/util/average.py", "/util/getColumns.py", "/util/getSubject.py", "/util/getStudents.py"]} |
84,995 | iFOliva/DesafioCTP-1TDSH-FIAP | refs/heads/master | /relatorio1.py | import pandas as pd
import util.average as avg
from util.getColumns import getColumns
from util.getSubject import getSubject
from util.getStudents import getStudents
df = pd.read_excel('./samples/notas_planilha_sample.xlsx')
def printStudents(students, subject):
for student in students:
listCheckpoints =... | {"/relatorio2.py": ["/util/average.py", "/util/getColumns.py", "/util/getSubject.py", "/util/getStudents.py"], "/relatorio1.py": ["/util/average.py", "/util/getColumns.py", "/util/getSubject.py", "/util/getStudents.py"]} |
84,996 | endarthur/autti | refs/heads/master | /auttitude/applications/small_circles.py | #!/usr/bin/python
# -*- coding: utf-8 -*-
from math import acos, atan2, cos, degrees, pi, sin, sqrt
import numpy as np
import auttitude as aut
def pi_transform(dcos_data):
n = len(dcos_data)
difference = np.zeros(int(n * (n - 1) / 2))
for i in range(n):
for j in range(i + 1, n):
diff... | {"/auttitude/datamodels.py": ["/auttitude/io.py", "/auttitude/math.py", "/auttitude/stats.py"], "/auttitude/api.py": ["/auttitude/datamodels.py", "/auttitude/io.py", "/auttitude/stats.py", "/auttitude/math.py"], "/auttitude/stats.py": ["/auttitude/io.py"], "/auttitude/applications/stress.py": ["/auttitude/datamodels.py... |
84,997 | endarthur/autti | refs/heads/master | /auttitude/datamodels.py | #!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import acos, asin, atan2, cos, degrees, pi, radians, sin, sqrt
import numpy as np
from auttitude.io import (
sphere_line,
sphere_plane,
translate_attitude,
dcos_plane,
dcos_line,
format_attitude,
)
from ... | {"/auttitude/datamodels.py": ["/auttitude/io.py", "/auttitude/math.py", "/auttitude/stats.py"], "/auttitude/api.py": ["/auttitude/datamodels.py", "/auttitude/io.py", "/auttitude/stats.py", "/auttitude/math.py"], "/auttitude/stats.py": ["/auttitude/io.py"], "/auttitude/applications/stress.py": ["/auttitude/datamodels.py... |
84,998 | endarthur/autti | refs/heads/master | /auttitude/io.py | #!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
import re
import numpy as np
_DIRECTION_PATTERN = re.compile(r"([NS]?)([0-9.]*)([EW]?).*")
_DIP_PATTERN = re.compile(r"([0-9.]*)([NESW]*).*")
def process_dip(dip_value):
"""
Parse dip values from string or float. Dip is defined... | {"/auttitude/datamodels.py": ["/auttitude/io.py", "/auttitude/math.py", "/auttitude/stats.py"], "/auttitude/api.py": ["/auttitude/datamodels.py", "/auttitude/io.py", "/auttitude/stats.py", "/auttitude/math.py"], "/auttitude/stats.py": ["/auttitude/io.py"], "/auttitude/applications/stress.py": ["/auttitude/datamodels.py... |
84,999 | endarthur/autti | refs/heads/master | /auttitude/api.py | #!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from auttitude.datamodels import Vector, Line, Plane, VectorSet, PlaneSet, LineSet
from auttitude.io import dcos_plane, sphere_plane, dcos_line, dcos_rake, sphere_line
from auttitude.stats import SphericalGrid, DEFAULT_GRID
from auttitude.... | {"/auttitude/datamodels.py": ["/auttitude/io.py", "/auttitude/math.py", "/auttitude/stats.py"], "/auttitude/api.py": ["/auttitude/datamodels.py", "/auttitude/io.py", "/auttitude/stats.py", "/auttitude/math.py"], "/auttitude/stats.py": ["/auttitude/io.py"], "/auttitude/applications/stress.py": ["/auttitude/datamodels.py... |
85,000 | endarthur/autti | refs/heads/master | /setup.py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
setup(
name="auttitude",
version="0.1.4",
packages=find_packages(),
install_requires=[
'numpy',
'matplotlib',
],
# metadata for upload to PyPI
author="Arthur Endlein",
author_emai... | {"/auttitude/datamodels.py": ["/auttitude/io.py", "/auttitude/math.py", "/auttitude/stats.py"], "/auttitude/api.py": ["/auttitude/datamodels.py", "/auttitude/io.py", "/auttitude/stats.py", "/auttitude/math.py"], "/auttitude/stats.py": ["/auttitude/io.py"], "/auttitude/applications/stress.py": ["/auttitude/datamodels.py... |
85,001 | endarthur/autti | refs/heads/master | /auttitude/stats.py | #!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from math import asin, cos, degrees, log, pi, radians, sin, sinh, sqrt
import numpy as np
import auttitude as at
from auttitude.io import dcos_line, sphere_line
# maybe add option to build grid from projecting regular
# plane grid to s... | {"/auttitude/datamodels.py": ["/auttitude/io.py", "/auttitude/math.py", "/auttitude/stats.py"], "/auttitude/api.py": ["/auttitude/datamodels.py", "/auttitude/io.py", "/auttitude/stats.py", "/auttitude/math.py"], "/auttitude/stats.py": ["/auttitude/io.py"], "/auttitude/applications/stress.py": ["/auttitude/datamodels.py... |
85,002 | endarthur/autti | refs/heads/master | /auttitude/math.py | #!/usr/bin/python
# -*- coding: utf-8 -*-
# pylint: disable=invalid-name
from __future__ import absolute_import
from math import acos, cos, pi, radians, sin, sqrt
import auttitude as at
import numpy as np
def normalized_cross(a, b):
"""
Returns the normalized cross product between vectors.
Uses numpy.cros... | {"/auttitude/datamodels.py": ["/auttitude/io.py", "/auttitude/math.py", "/auttitude/stats.py"], "/auttitude/api.py": ["/auttitude/datamodels.py", "/auttitude/io.py", "/auttitude/stats.py", "/auttitude/math.py"], "/auttitude/stats.py": ["/auttitude/io.py"], "/auttitude/applications/stress.py": ["/auttitude/datamodels.py... |
85,003 | endarthur/autti | refs/heads/master | /auttitude/applications/stress.py | #!/usr/bin/python
# -*- coding: utf-8 -*-
import numpy as np
from auttitude.datamodels import LineSet
from auttitude.stats import DEFAULT_GRID
def michael(planes, lines):
"""Linear paleostress inversion by Michael (1984) method.
Estimate paleostress from fault data using the method detailed in
Michael (... | {"/auttitude/datamodels.py": ["/auttitude/io.py", "/auttitude/math.py", "/auttitude/stats.py"], "/auttitude/api.py": ["/auttitude/datamodels.py", "/auttitude/io.py", "/auttitude/stats.py", "/auttitude/math.py"], "/auttitude/stats.py": ["/auttitude/io.py"], "/auttitude/applications/stress.py": ["/auttitude/datamodels.py... |
85,004 | endarthur/autti | refs/heads/master | /auttitude/plot.py | #!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
import abc
# http://treyhunner.com/2016/02/how-to-merge-dictionaries-in-python/
try:
from collections import ChainMap
except ImportError:
from itertools import chain
def ChainMap(*args):
return dict(chain(*map(lambda... | {"/auttitude/datamodels.py": ["/auttitude/io.py", "/auttitude/math.py", "/auttitude/stats.py"], "/auttitude/api.py": ["/auttitude/datamodels.py", "/auttitude/io.py", "/auttitude/stats.py", "/auttitude/math.py"], "/auttitude/stats.py": ["/auttitude/io.py"], "/auttitude/applications/stress.py": ["/auttitude/datamodels.py... |
85,042 | vitormoura/quotes-service | refs/heads/master | /app/resources/quote_categories.py | from flask_restful import Resource, Api, reqparse, fields, abort
from flask import jsonify
from sqlalchemy import or_
from ..models import db
from ..models.quote_category import QuoteCategory, QuoteCategorySchema
class QuoteCategoriesResource(Resource):
@staticmethod
def register(api):
api.add_resou... | {"/app/resources/quote_categories.py": ["/app/models/quote_category.py"], "/app/models/quote.py": ["/app/models/quote_category.py"], "/app/resources/quotes.py": ["/app/models/quote.py", "/app/models/quote_category.py"], "/app/__init__.py": ["/app/utils.py", "/app/resources/__init__.py"], "/app/resources/random_quotes.p... |
85,043 | vitormoura/quotes-service | refs/heads/master | /app/models/quote.py | from . import db, ma
from .mixins import OutputMixin
from .quote_category import QuoteCategory
class Quote(OutputMixin, db.Model):
"""Quote"""
RELATIONSHIPS_TO_DICT = True
__tablename__ = "quote"
id = db.Column(db.Integer, primary_key=True, autoincrement=True)
author = db.Column(db.String(255),... | {"/app/resources/quote_categories.py": ["/app/models/quote_category.py"], "/app/models/quote.py": ["/app/models/quote_category.py"], "/app/resources/quotes.py": ["/app/models/quote.py", "/app/models/quote_category.py"], "/app/__init__.py": ["/app/utils.py", "/app/resources/__init__.py"], "/app/resources/random_quotes.p... |
85,044 | vitormoura/quotes-service | refs/heads/master | /app/utils.py | from flask.json import JSONEncoder
from flask import request
from sqlalchemy.ext.declarative import DeclarativeMeta
class CustomJSONEncoder(JSONEncoder):
""" JSON Encoder with support to sqlalchemy objects"""
def default(self, obj):
if isinstance(obj.__class__, DeclarativeMeta):
return ob... | {"/app/resources/quote_categories.py": ["/app/models/quote_category.py"], "/app/models/quote.py": ["/app/models/quote_category.py"], "/app/resources/quotes.py": ["/app/models/quote.py", "/app/models/quote_category.py"], "/app/__init__.py": ["/app/utils.py", "/app/resources/__init__.py"], "/app/resources/random_quotes.p... |
85,045 | vitormoura/quotes-service | refs/heads/master | /app/models/quote_category.py | from . import db, ma
from .mixins import OutputMixin
class QuoteCategory(OutputMixin, db.Model):
""" Category of a quote """
__tablename__ = "quote_category"
id = db.Column(db.Integer, primary_key=True)
description = db.Column(db.String(255), nullable=False)
acronym = db.Column(db.String(64), nul... | {"/app/resources/quote_categories.py": ["/app/models/quote_category.py"], "/app/models/quote.py": ["/app/models/quote_category.py"], "/app/resources/quotes.py": ["/app/models/quote.py", "/app/models/quote_category.py"], "/app/__init__.py": ["/app/utils.py", "/app/resources/__init__.py"], "/app/resources/random_quotes.p... |
85,046 | vitormoura/quotes-service | refs/heads/master | /app/resources/quotes.py | from flask_restful import Resource, Api, reqparse, fields, abort
from flask import jsonify, Response, request, app
from marshmallow import ValidationError
from ..models import db
from ..models.quote import Quote, QuoteSchema
from ..models.quote_category import QuoteCategory
class QuoteResource(Resource):
@stati... | {"/app/resources/quote_categories.py": ["/app/models/quote_category.py"], "/app/models/quote.py": ["/app/models/quote_category.py"], "/app/resources/quotes.py": ["/app/models/quote.py", "/app/models/quote_category.py"], "/app/__init__.py": ["/app/utils.py", "/app/resources/__init__.py"], "/app/resources/random_quotes.p... |
85,047 | vitormoura/quotes-service | refs/heads/master | /app/__init__.py | import os
from flask import Flask, render_template
from flask_restful import Api
from flask_cors import CORS
from .utils import CustomJSONEncoder
from .resources import register as register_resources_of
from .models import register as register_model_of
def create_app(config_opts):
if config_opts is None:
... | {"/app/resources/quote_categories.py": ["/app/models/quote_category.py"], "/app/models/quote.py": ["/app/models/quote_category.py"], "/app/resources/quotes.py": ["/app/models/quote.py", "/app/models/quote_category.py"], "/app/__init__.py": ["/app/utils.py", "/app/resources/__init__.py"], "/app/resources/random_quotes.p... |
85,048 | vitormoura/quotes-service | refs/heads/master | /app/resources/random_quotes.py | # -*- coding: utf-8 -*-
from flask_restful import Resource, reqparse, fields, abort
from flask import jsonify, Response
from ..utils import request_wants_json
from ..models.quote import Quote
import random
class RandomQuoteResource(Resource):
@staticmethod
def register(api):
api.add_resource(RandomQ... | {"/app/resources/quote_categories.py": ["/app/models/quote_category.py"], "/app/models/quote.py": ["/app/models/quote_category.py"], "/app/resources/quotes.py": ["/app/models/quote.py", "/app/models/quote_category.py"], "/app/__init__.py": ["/app/utils.py", "/app/resources/__init__.py"], "/app/resources/random_quotes.p... |
85,049 | vitormoura/quotes-service | refs/heads/master | /app/resources/__init__.py | from flask_restful import Api
from .quotes import QuotesResource, QuoteResource
from .quote_categories import QuoteCategoriesResource
from .random_quotes import RandomQuoteResource
def register(app):
""" register resources in the api """
api = Api(app)
QuoteResource.register(api)
QuotesResource.regi... | {"/app/resources/quote_categories.py": ["/app/models/quote_category.py"], "/app/models/quote.py": ["/app/models/quote_category.py"], "/app/resources/quotes.py": ["/app/models/quote.py", "/app/models/quote_category.py"], "/app/__init__.py": ["/app/utils.py", "/app/resources/__init__.py"], "/app/resources/random_quotes.p... |
85,050 | vitormoura/quotes-service | refs/heads/master | /tests/test_app.py | from flask import json
import os
import unittest
import tempfile
import warnings
from app import create_app
class QuotesServiceTestCase(unittest.TestCase):
def setUp(self):
warnings.simplefilter("ignore")
self.temp_fd, self.temp_dbfile = tempfile.mkstemp()
test_options = dict(
... | {"/app/resources/quote_categories.py": ["/app/models/quote_category.py"], "/app/models/quote.py": ["/app/models/quote_category.py"], "/app/resources/quotes.py": ["/app/models/quote.py", "/app/models/quote_category.py"], "/app/__init__.py": ["/app/utils.py", "/app/resources/__init__.py"], "/app/resources/random_quotes.p... |
85,051 | vitormoura/quotes-service | refs/heads/master | /tests/test_appcreation.py | import os
import unittest
import tempfile
import warnings
from app import create_app
class AppCreationTestCase(unittest.TestCase):
def setUp(self):
warnings.simplefilter("ignore")
def tearDown(self):
pass
def test_create_app_with_no_options_raises_exception(self):
with self.asse... | {"/app/resources/quote_categories.py": ["/app/models/quote_category.py"], "/app/models/quote.py": ["/app/models/quote_category.py"], "/app/resources/quotes.py": ["/app/models/quote.py", "/app/models/quote_category.py"], "/app/__init__.py": ["/app/utils.py", "/app/resources/__init__.py"], "/app/resources/random_quotes.p... |
85,052 | vitormoura/quotes-service | refs/heads/master | /main.py | import os
from app import create_app
# App configuration file path
cwd = os.getcwd()
config_file = os.path.join(cwd, 'config/appsettings.json')
# Creating app with appsettings
application = create_app(config_file)
if __name__ == "__main__":
application.run(host='0.0.0.0', port=5000, debug=True)
| {"/app/resources/quote_categories.py": ["/app/models/quote_category.py"], "/app/models/quote.py": ["/app/models/quote_category.py"], "/app/resources/quotes.py": ["/app/models/quote.py", "/app/models/quote_category.py"], "/app/__init__.py": ["/app/utils.py", "/app/resources/__init__.py"], "/app/resources/random_quotes.p... |
85,053 | irjkf129/site | refs/heads/master | /f/urls.py | from django.urls import path
from .views import *
urlpatterns=[
path('flash/1',first,name='main_url'),
path('flash/2',second,name='second_url'),
path('flash/3',tri,name='tri_url'),
path('flash/4',four,name='four_url'),
] | {"/f/urls.py": ["/f/views.py"]} |
85,054 | irjkf129/site | refs/heads/master | /f/views.py | from django.shortcuts import render
# Create your views here.
def first(request):
return render(request,'f/first.html')
def second(request):
return render(request,'f/second.html')
def tri(request):
return render(request,'f/tri.html')
def four(request):
return render(request,'f/four.html')
| {"/f/urls.py": ["/f/views.py"]} |
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