index int64 | repo_name string | branch_name string | path string | content string | import_graph string |
|---|---|---|---|---|---|
28,032 | mkirchmeyer/adaptation-imputation | refs/heads/main | /setup.py | from setuptools import setup
setup(
name='adaptation-imputation',
version='',
packages=['src', 'src.eval', 'src.dataset', 'src.plotting', 'data', 'experiments', 'experiments.launcher',
'orchestration'],
url='',
license='',
author='',
author_email='',
description=''
)
| {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,033 | mkirchmeyer/adaptation-imputation | refs/heads/main | /src/plotting/utils_plotting.py | import matplotlib.pyplot as plt
from sklearn.decomposition import PCA
from pandas import DataFrame
from sklearn.manifold import TSNE
import numpy as np
import torch
import os
from src.utils.utils_network import get_data_classifier, get_feature_extractor
def colored_scattered_plot(X_train_s, X_train_t, y_sparse_train... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,034 | mkirchmeyer/adaptation-imputation | refs/heads/main | /experiments/__init__.py | from experiments.launcher.experiments_criteo import DannImputCriteo, SourceIgnoreCriteo, \
DannIgnoreCriteo, SourceZeroImputCriteo, DannZeroImputCriteo
from experiments.launcher.experiments_mnist_mnistm import DannMNISTMNISTM, DannZeroImputMNISTMNISTM, \
DannImputMNISTMNISTM, DjdotMNISTMNISTM, DjdotZeroImputMNI... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,035 | mkirchmeyer/adaptation-imputation | refs/heads/main | /experiments/launcher/config.py | import typing
import json
import argparse
class RunConfig(typing.NamedTuple):
experiment_name: str = "test"
metarun_id: int = 0
run_id: int = 0
max_nb_processes: int = 2
gpu_id: int = 0
class ModelConfig(typing.NamedTuple):
mode: str
upper_bound: int = 1
adaptive_lr: int = 0
djdo... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,036 | mkirchmeyer/adaptation-imputation | refs/heads/main | /src/dataset/utils_dataset.py | import numpy as np
import torch
from torch import nn
from src.dataset.dataset_criteo import get_criteo
from experiments.launcher.config import DatasetConfig
from src.dataset.sampler import BalancedBatchSampler
from torchvision import datasets
from src.dataset.dataset_mnistm import get_mnistm
from src.dataset.dataset_u... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,037 | mkirchmeyer/adaptation-imputation | refs/heads/main | /src/models/criteo/dann_criteo.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from itertools import cycle
from time import clock as tick
import numpy as np
from src.eval.utils_eval import evaluate_data_classifier, evaluate_domain_classifier
from src.utils.network import weight_init_glorot_uniform
from src.utils.utils_network impo... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,038 | mkirchmeyer/adaptation-imputation | refs/heads/main | /src/utils/network.py | import numpy as np
import torch
import torch.nn as nn
def num_flat_features(x):
size = x.size()[1:] # all dimensions except the batch dimension
num_features = 1
for s in size:
num_features *= s
return num_features
def weight_init_glorot_uniform(m):
classname = m.__class__.__name__
i... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,039 | mkirchmeyer/adaptation-imputation | refs/heads/main | /experiments/launcher/experiments_criteo.py | use_categorical = 0
n_epochs = 50
activate_adaptation_imp = 1
activate_mse = 1
activate_adaptation_d1 = 1
weight_d2 = 1.0
weight_mse = 0.005
refinement = 1
n_epochs_refinement = 10
lambda_regul = [1.0]
lambda_regul_s = [1.0]
is_balanced = 0
threshold_value = [0.95]
compute_variance = False
random_seed = [1985] if not... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,040 | mkirchmeyer/adaptation-imputation | refs/heads/main | /src/utils/utils_network.py | import numpy as np
import torch
import logging
import os
import torch.optim as optim
import torch.nn.functional as F
from logging.handlers import RotatingFileHandler
from src.utils.network import FeatureExtractorDigits, DataClassifierDigits, DomainClassifierDigits, \
ReconstructorDigits, FeatureExtractorCriteo, Da... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,041 | mkirchmeyer/adaptation-imputation | refs/heads/main | /orchestration/launcher.py | import argparse
import sys
import os
from sklearn.model_selection import ParameterGrid
from concurrent.futures import ThreadPoolExecutor
import subprocess
from datetime import datetime
import time
from experiments import all_experiments
root_dir = "{}/..".format(os.path.dirname(os.path.abspath(__file__)))
parser = a... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,042 | mkirchmeyer/adaptation-imputation | refs/heads/main | /src/dataset/dataset_criteo.py | import torch
from sklearn.model_selection import train_test_split
from torch.utils.data import Dataset
import numpy as np
import os
import pandas as pd
from src.dataset.sampler import BalancedBatchSampler
class CriteoDataset(Dataset):
"""
Custom dataset class for Criteo dataset in order to use efficient
... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,043 | mkirchmeyer/adaptation-imputation | refs/heads/main | /data/data_preprocessing.py | """
Preprocess Criteo dataset. This dataset was used for the Display Advertising
Challenge (https://www.kaggle.com/c/criteo-display-ad-challenge).
Derived from https://github.com/chenxijun1029/DeepFM_with_PyTorch
"""
import os
import random
import collections
# There are 13 integer features and 26 categorical feature... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,044 | mkirchmeyer/adaptation-imputation | refs/heads/main | /experiments/launcher/experiments_mnist_mnistm.py | activate_mse = 1
activate_adaptation_imp = 1
activate_adaptation_d1 = 1
weight_d2 = 1.0
weight_mse = 1.0
refinement = 1
n_epochs_refinement = 10
lambda_regul = [0.01]
lambda_regul_s = [0.01]
threshold_value = [0.95]
compute_variance = False
random_seed = [1985] if not compute_variance else [1985, 2184, 51, 12, 465]
... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,045 | mkirchmeyer/adaptation-imputation | refs/heads/main | /src/dataset/sampler.py | from copy import deepcopy
import torchvision
import torch.utils.data
import random
import numpy as np
"""
Adapted from https://github.com/galatolofederico/pytorch-balanced-batch
"""
class BalancedBatchSampler(torch.utils.data.sampler.Sampler):
def __init__(self, dataset, in_memory=False, is_criteo=False):
... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,046 | mkirchmeyer/adaptation-imputation | refs/heads/main | /src/models/digits/dann_imput_digits.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from itertools import cycle
from time import clock as tick
from experiments.launcher.config import DatasetConfig
import numpy as np
from src.eval.utils_eval import evaluate_data_imput_classifier, evaluate_domain_imput_classifier
from src.plotting.utils_... | {"/src/eval/utils_eval.py": ["/src/utils/utils_network.py"], "/experiments/launcher/criteo_binary.py": ["/experiments/launcher/config.py", "/src/dataset/utils_dataset.py", "/src/models/criteo/dann_criteo.py", "/src/utils/utils_network.py"], "/src/models/digits/djdot_imput_digits.py": ["/experiments/launcher/config.py",... |
28,060 | freddi-kit/deeplearning_workshop | refs/heads/master | /network.py | import chainer
import chainer.links as L
import chainer.functions as F
import math
class Network(chainer.Chain):
def __init__(self,sizes,output):
super(Network, self).__init__()
w = chainer.initializers.HeNormal()
links=[]
c_k,c_s,c_p = 3,3,1
self.m_k,self.m_s,self.m_p = 3,... | {"/pict_test.py": ["/network.py"], "/pict_train.py": ["/network.py"]} |
28,061 | freddi-kit/deeplearning_workshop | refs/heads/master | /pict_test.py | import sys,os
from PIL import Image
from network import Network
from chainer import Variable,serializers,cuda
from chainer import functions as F
import numpy as np
import random
from chainer.datasets import mnist
GPU = -1
batch = 10
argv = sys.argv
input_size = int(argv[1])
network_sizes = []
for i in argv[2].spli... | {"/pict_test.py": ["/network.py"], "/pict_train.py": ["/network.py"]} |
28,062 | freddi-kit/deeplearning_workshop | refs/heads/master | /pict_train.py | import sys,os
from PIL import Image
from network import Network
from chainer import Variable,optimizers,serializers,cuda
from chainer import functions as F
import numpy as np
import random
from chainer.datasets import mnist
GPU = -1
batch = 5
argv = sys.argv
input_size = int(argv[1])
network_sizes = []
for i in ar... | {"/pict_test.py": ["/network.py"], "/pict_train.py": ["/network.py"]} |
28,063 | AlperenKanik/basiczoo | refs/heads/master | /hayvanlar.py | import sqlite3
class hayvanlar:
def __init__(self):
self.con = sqlite3.connect("hayvanat_bahcesi.db")
self.cursor = self.con.cursor()
def ekle(self, Zooz, TasmaNo, HayvanAdi, HayvanTuru):
self.cursor.execute("INSERT INTO {Zoo_z} VALUES(?,?,?)".format(Zoo_z = Zooz),
... | {"/main.py": ["/tur.py", "/hayvanlar.py"]} |
28,064 | AlperenKanik/basiczoo | refs/heads/master | /kutuphane.py | import sqlite3
def login():
while True:
ogrencino = input("lütfen öğrenci numaranızı girin:")
sifre = input("lütfen şifrenizi girin:")
with sqlite3.connect("kutuphane.db") as db:
cursor = db.cursor()
findUser =("SELECT * FROM user WHERE ogrencino = ? And sifr... | {"/main.py": ["/tur.py", "/hayvanlar.py"]} |
28,065 | AlperenKanik/basiczoo | refs/heads/master | /tur.py | mport sqlite3
class tur:
def __init__(self):
self.con = sqlite3.connect("hayvanat_bahcesi.db")
self.cursor = self.con.cursor()
def ekle(self, Zooz):
self.cursor.execute("CREATE TABLE IF NOT EXISTS {Zoo_z}"
"(TasmaNo INT, "
... | {"/main.py": ["/tur.py", "/hayvanlar.py"]} |
28,066 | AlperenKanik/basiczoo | refs/heads/master | /main.py | import tur, hayvanlar
import random
while True:
menu = input("$$$-Hayvanat Bahçesine HOŞGELDİNİZ!-$$$\n "
"tür eklemek için A'ye tıklayın. \n "
"Öğrenci eklemek için B'ye tıklayın: \n"
"Çıkış için C'ya tıklayınız: \n")
if menu == "C" or menu =... | {"/main.py": ["/tur.py", "/hayvanlar.py"]} |
28,067 | AlperenKanik/basiczoo | refs/heads/master | /main2.py | import sqlite3
with sqlite3.connect("kutuphane.db") as db:
cursor = db.cursor()
cursor.execute('''
CREATE TABLE IF NOT EXISTS user(
userID INTEGER PRIMARY KEY,
ogrencino VARCHAR(20) NOT NULL,
ad VARCHAR(20) NOT NULL,
soyad VARCHAR(20) NOT NULL,
sifre VARCHAR(20) NOT NULL);
''')
cursor.execute("""
... | {"/main.py": ["/tur.py", "/hayvanlar.py"]} |
28,069 | delebasyq/algorithmicTrader | refs/heads/master | /get_data.py | import datetime
import pandas as pd
import yfinance as yf
from finta import TA
class GetData:
"""
Class to retrieve the training data for a given stock
"""
NUM_DAYS = 365
INDICATORS = ['EMA', 'RSI', 'MACD']
NOTUSED_STATE = ['high', 'low', 'open', 'Adj Close', 'volume']
def __init__(self,... | {"/train_reinforce.py": ["/agent.py", "/env.py"], "/env.py": ["/get_data.py", "/trader.py"], "/eval.py": ["/trader.py", "/env.py", "/agent.py"]} |
28,070 | delebasyq/algorithmicTrader | refs/heads/master | /train_reinforce.py | from agent import Agent
from env import Environment
import sys
WINDOW_SIZE = 10
EPOCHS = 200
BATCH_SIZE = 30
stock_symbol = sys.argv[1]
def train_stock_model(agent, stockenv):
for e in range(EPOCHS + 1):
print("Episode " + str(e) + "/" + str(EPOCHS))
state = stockenv.get_state(t=WINDOW_SIZE + 1... | {"/train_reinforce.py": ["/agent.py", "/env.py"], "/env.py": ["/get_data.py", "/trader.py"], "/eval.py": ["/trader.py", "/env.py", "/agent.py"]} |
28,071 | delebasyq/algorithmicTrader | refs/heads/master | /agent.py | from keras.models import Sequential
from keras.models import load_model
from keras.layers import Dense
from keras.optimizers import Adam
import numpy as np
import random
from collections import deque
class Agent:
def __init__(self, state_size, is_eval=False, model_name=""):
"""
Initialization of the Agent
:pa... | {"/train_reinforce.py": ["/agent.py", "/env.py"], "/env.py": ["/get_data.py", "/trader.py"], "/eval.py": ["/trader.py", "/env.py", "/agent.py"]} |
28,072 | delebasyq/algorithmicTrader | refs/heads/master | /env.py | import math
import numpy as np
from get_data import GetData
from trader import Portfolio
class Environment:
def __init__(self, WINDOW_LENGTH, EPOCHS, BATCH_SIZE, symbol, train=True):
"""
Constants used for things like
- WINDOW_LENGTH : how many elements of data are in a state
- ... | {"/train_reinforce.py": ["/agent.py", "/env.py"], "/env.py": ["/get_data.py", "/trader.py"], "/eval.py": ["/trader.py", "/env.py", "/agent.py"]} |
28,073 | delebasyq/algorithmicTrader | refs/heads/master | /eval.py | import trader
from env import Environment
from agent import Agent
import datetime
import sys
WINDOW_SIZE = 10
EPOCHS = 200
BATCH_SIZE = 95
MODEL_NAME = 'model_ep199'
stock_name = sys.argv[1]
def run_trader():
p = trader.Portfolio('lucas')
a = Agent(WINDOW_SIZE, is_eval=True, model_name=MODEL_NAME)
e = ... | {"/train_reinforce.py": ["/agent.py", "/env.py"], "/env.py": ["/get_data.py", "/trader.py"], "/eval.py": ["/trader.py", "/env.py", "/agent.py"]} |
28,074 | delebasyq/algorithmicTrader | refs/heads/master | /trader.py | # """"
# This file will be the main point of control for the trader
# This will call upon the models build in trading.py to generate predictions and place buy and sell orders
# """"
import datetime
import json
import pandas as pd
import pytz, holidays
import yfinance as yf
import time
import os
# Global data and DS,... | {"/train_reinforce.py": ["/agent.py", "/env.py"], "/env.py": ["/get_data.py", "/trader.py"], "/eval.py": ["/trader.py", "/env.py", "/agent.py"]} |
28,085 | xyahh/xBlade | refs/heads/master | /Characters/char_class.py | from pico2d import *
from General.bounding_box import BoundingBox
from Sound import sound_manager as sound
from Logo import logo
file_name = "CharacterClass"
def clamp(minimum, value, maximum):
return max(minimum, min(value, maximum))
class Character:
# CONSTANTS
PIXEL_PER_METER, GRAVITY_M2PS, GRAVITY_P... | {"/Characters/char_class.py": ["/General/bounding_box.py"], "/General/game_play.py": ["/Characters/char_class.py", "/Maps/map_class.py", "/General/bounding_box.py"], "/Maps/map_select.py": ["/Maps/map_class.py"], "/Characters/char_select.py": ["/Characters/char_class.py"]} |
28,086 | xyahh/xBlade | refs/heads/master | /General/key_mapping.py | from pico2d import *
# If a Key is missing, feel free to add it here.
KEY_MAP = \
{
#alphabet
"A": SDLK_a, "B": SDLK_b, "C": SDLK_c, "D": SDLK_d, "E": SDLK_e, "F": SDLK_f,
"G": SDLK_g, "H": SDLK_h, "I": SDLK_i, "J": SDLK_j, "K": SDLK_k, "L": SDLK_l,
"M": SDLK_m, "N": SDLK_n, "O": SDLK_o, "P": SDLK_p, "... | {"/Characters/char_class.py": ["/General/bounding_box.py"], "/General/game_play.py": ["/Characters/char_class.py", "/Maps/map_class.py", "/General/bounding_box.py"], "/Maps/map_select.py": ["/Maps/map_class.py"], "/Characters/char_select.py": ["/Characters/char_class.py"]} |
28,087 | xyahh/xBlade | refs/heads/master | /Menu/main_menu.py | from pico2d import *
from Characters import char_select
from General import pFramework
from General import key_mapping as key
from Sound import sound_manager as sound
file_name = "MainMenu"
num_of_players, num_of_players_choices, choice = None, None, None
options, main_theme = None, None
RECT_W, RECT_H = None, None
i... | {"/Characters/char_class.py": ["/General/bounding_box.py"], "/General/game_play.py": ["/Characters/char_class.py", "/Maps/map_class.py", "/General/bounding_box.py"], "/Maps/map_select.py": ["/Maps/map_class.py"], "/Characters/char_select.py": ["/Characters/char_class.py"]} |
28,088 | xyahh/xBlade | refs/heads/master | /Logo/logo.py | from pico2d import *
from General import pFramework
from Menu import main_menu
from Sound import sound_manager as sound
file_name = "StartState"
images = None
logo_time, alpha = 0.0, 0.0
fade_in, fade_out = None, None
win_width, win_height, win_caption = None, None, None
FADE_TIME_CONSTRAINT, LOGO_SHOW_TIME_CONSTRA... | {"/Characters/char_class.py": ["/General/bounding_box.py"], "/General/game_play.py": ["/Characters/char_class.py", "/Maps/map_class.py", "/General/bounding_box.py"], "/Maps/map_select.py": ["/Maps/map_class.py"], "/Characters/char_select.py": ["/Characters/char_class.py"]} |
28,089 | xyahh/xBlade | refs/heads/master | /General/bounding_box.py | from pico2d import *
class BoundingBox:
LEFT, TOP, RIGHT, BOTTOM, DAMAGE, HEAL = range(6)
def __init__(self, char, map: object):
global LEFT, TOP, RIGHT, BOTTOM, DAMAGE, HEAL
LEFT, TOP, RIGHT, BOTTOM, DAMAGE, HEAL = range(6)
self.char = char
self.map = map
self.map_obj... | {"/Characters/char_class.py": ["/General/bounding_box.py"], "/General/game_play.py": ["/Characters/char_class.py", "/Maps/map_class.py", "/General/bounding_box.py"], "/Maps/map_select.py": ["/Maps/map_class.py"], "/Characters/char_select.py": ["/Characters/char_class.py"]} |
28,090 | xyahh/xBlade | refs/heads/master | /Results/results.py | from pico2d import *
from General import pFramework
from Sound import sound_manager as sound
from General import key_mapping as key
from General import game_play
file_name = "Results"
images, font = None, None
def enter():
global images, font
media_file = open('Results/media.txt', 'r')
media_info = json... | {"/Characters/char_class.py": ["/General/bounding_box.py"], "/General/game_play.py": ["/Characters/char_class.py", "/Maps/map_class.py", "/General/bounding_box.py"], "/Maps/map_select.py": ["/Maps/map_class.py"], "/Characters/char_select.py": ["/Characters/char_class.py"]} |
28,091 | xyahh/xBlade | refs/heads/master | /Maps/map_class.py | from pico2d import *
from Sound import sound_manager as sound
file_name = "MapClass"
class Map:
def init_map(self, map_name):
maps_file = open('Maps/maps.txt', 'r')
map_info = json.load(maps_file)
maps_file.close()
self.map = {}
for name in map_info:
if name =... | {"/Characters/char_class.py": ["/General/bounding_box.py"], "/General/game_play.py": ["/Characters/char_class.py", "/Maps/map_class.py", "/General/bounding_box.py"], "/Maps/map_select.py": ["/Maps/map_class.py"], "/Characters/char_select.py": ["/Characters/char_class.py"]} |
28,092 | xyahh/xBlade | refs/heads/master | /Sound/sound_manager.py | from sdl2.sdlmixer import *
song_list = {}
CHANNEL_NUMBER = 16
Mix_AllocateChannels(CHANNEL_NUMBER) # 16 sounds can be played at a time
def add(song_name, path, is_bgm=False):
data = Mix_LoadWAV(path.encode('UTF-8'))
if not data:
print('cannot load %s' % path)
return
song_list.update({so... | {"/Characters/char_class.py": ["/General/bounding_box.py"], "/General/game_play.py": ["/Characters/char_class.py", "/Maps/map_class.py", "/General/bounding_box.py"], "/Maps/map_select.py": ["/Maps/map_class.py"], "/Characters/char_select.py": ["/Characters/char_class.py"]} |
28,093 | xyahh/xBlade | refs/heads/master | /General/game_play.py | from pico2d import *
from Characters.char_class import Character
from Results import results
from Maps.map_class import Map
from General import pFramework
from Sound import sound_manager as sound
from General import key_mapping as key
from General.bounding_box import BoundingBox
from Maps import map_select
from Menu i... | {"/Characters/char_class.py": ["/General/bounding_box.py"], "/General/game_play.py": ["/Characters/char_class.py", "/Maps/map_class.py", "/General/bounding_box.py"], "/Maps/map_select.py": ["/Maps/map_class.py"], "/Characters/char_select.py": ["/Characters/char_class.py"]} |
28,094 | xyahh/xBlade | refs/heads/master | /Maps/map_select.py | from pico2d import *
from General import game_play, pFramework
from General import key_mapping as key
from Sound import sound_manager as sound
from Maps.map_class import MapSelect
from Characters import char_select
from Menu import main_menu
file_name = "MapSelect"
images, map_text = None, None
player_text, custom_t... | {"/Characters/char_class.py": ["/General/bounding_box.py"], "/General/game_play.py": ["/Characters/char_class.py", "/Maps/map_class.py", "/General/bounding_box.py"], "/Maps/map_select.py": ["/Maps/map_class.py"], "/Characters/char_select.py": ["/Characters/char_class.py"]} |
28,095 | xyahh/xBlade | refs/heads/master | /x_blade.py | import platform
import os
if platform.architecture()[0] == '32bit':
os.environ["PYSDL2_DLL_PATH"] = "./SDL2/x86"
else:
os.environ["PYSDL2_DLL_PATH"] = "./SDL2/x64"
from General import pFramework
from Logo import logo
pFramework.run(logo)
| {"/Characters/char_class.py": ["/General/bounding_box.py"], "/General/game_play.py": ["/Characters/char_class.py", "/Maps/map_class.py", "/General/bounding_box.py"], "/Maps/map_select.py": ["/Maps/map_class.py"], "/Characters/char_select.py": ["/Characters/char_class.py"]} |
28,096 | xyahh/xBlade | refs/heads/master | /Characters/char_select.py | from pico2d import *
from General import pFramework
from General import key_mapping as key
from Sound import sound_manager as sound
from Menu import main_menu
from Characters.char_class import CharacterSelect
from Maps import map_select
file_name = "CharSelect"
images, arrows = None, None
font = None
char_sel, text =... | {"/Characters/char_class.py": ["/General/bounding_box.py"], "/General/game_play.py": ["/Characters/char_class.py", "/Maps/map_class.py", "/General/bounding_box.py"], "/Maps/map_select.py": ["/Maps/map_class.py"], "/Characters/char_select.py": ["/Characters/char_class.py"]} |
28,122 | quintanadaniel/test_python | refs/heads/master | /test/test_UserRegister.py | import unittest
from src.User import User
from src.Spotipy import Spotipy
from src.customExceptions.NotAvailableEmail import NotAvailableEmail
#todos los nombres de las clases o funciones deben comenzar con test_
class UserRegisterTestCase(unittest.TestCase):
def setUp(self):
self.__spotipy = Spotipy()
... | {"/test/test_UserRegister.py": ["/src/User.py", "/src/Spotipy.py", "/src/customExceptions/NotAvailableEmail.py"], "/src/Spotipy.py": ["/src/customExceptions/NotAvailableEmail.py"]} |
28,123 | quintanadaniel/test_python | refs/heads/master | /src/Spotipy.py | from src.customExceptions.NotAvailableEmail import NotAvailableEmail
class Spotipy:
def __init__(self):
self.__users = []
def register_user(self,new_user):
if self.__is_available__email(new_user):
self.__users.append(new_user)
else:
raise NotAvailableEmail(ne... | {"/test/test_UserRegister.py": ["/src/User.py", "/src/Spotipy.py", "/src/customExceptions/NotAvailableEmail.py"], "/src/Spotipy.py": ["/src/customExceptions/NotAvailableEmail.py"]} |
28,124 | quintanadaniel/test_python | refs/heads/master | /src/User.py | class User:
def __init__(self,email,name,last_name):
self.__email = email
self.__name = name
self.__last_name = last_name
@property
def email(self):
return self.__email
@property
def name(self):
return self.__name
@property
def last_name(self):... | {"/test/test_UserRegister.py": ["/src/User.py", "/src/Spotipy.py", "/src/customExceptions/NotAvailableEmail.py"], "/src/Spotipy.py": ["/src/customExceptions/NotAvailableEmail.py"]} |
28,125 | quintanadaniel/test_python | refs/heads/master | /src/customExceptions/NotAvailableEmail.py | class NotAvailableEmail:
pass | {"/test/test_UserRegister.py": ["/src/User.py", "/src/Spotipy.py", "/src/customExceptions/NotAvailableEmail.py"], "/src/Spotipy.py": ["/src/customExceptions/NotAvailableEmail.py"]} |
28,136 | georgingently/hospital_management_system | refs/heads/main | /core/admins.py | import pickle
class Admin :
def add_employee(self, name, role, specialization) :
''' Adds a new employee to "/database/doctors.pkl" or "/database/nurses.pkl" or "/database/pharmacists.pkl" in database '''
if role.lower()== 'doctor':
with open("database/doctors.pkl", "rb") as file... | {"/cli.py": ["/core/employees.py", "/core/admins.py"]} |
28,137 | georgingently/hospital_management_system | refs/heads/main | /core/employees.py | import pickle
import time
class Doctor :
def __new__(cls, name):
with open("database/doctors.pkl", "rb") as file :
for doctor in pickle.load(file) :
if doctor[0].lower() == name.lower() :
return super(Doctor, cls).__new__(cls)
return 0
def... | {"/cli.py": ["/core/employees.py", "/core/admins.py"]} |
28,138 | georgingently/hospital_management_system | refs/heads/main | /cli.py | import os
import core.patients
import core.employees
import core.admins
clrscr = lambda : os.system('cls||clear') # Clears terminal viewport
def patients() :
patient = core.patients.Patient()
clrscr()
print("\nLogin or Signup:")
patient.name = input("\nEnter your name: ")
if patient.patient_exi... | {"/cli.py": ["/core/employees.py", "/core/admins.py"]} |
28,139 | jgarte/py-nanoid | refs/heads/master | /nanoid/__init__.py | # coding: utf-8
from nanoid.generate import generate
from nanoid.non_secure_generate import non_secure_generate
__all__ = ['generate', 'non_secure_generate']
| {"/nanoid/__init__.py": ["/nanoid/generate.py", "/nanoid/non_secure_generate.py"], "/nanoid/non_secure_generate.py": ["/nanoid/resources.py"], "/test/generate_test.py": ["/nanoid/__init__.py"], "/nanoid/generate.py": ["/nanoid/algorithm.py", "/nanoid/method.py", "/nanoid/resources.py"], "/test/url_test.py": ["/nanoid/r... |
28,140 | jgarte/py-nanoid | refs/heads/master | /nanoid/non_secure_generate.py | # coding: utf-8
from __future__ import unicode_literals
from __future__ import division
from random import random
from nanoid.resources import alphabet, size
def non_secure_generate(alphabet=alphabet, size=size):
alphabet_len = len(alphabet)
id = ''
for _ in range(size):
id += alphabet[int(rand... | {"/nanoid/__init__.py": ["/nanoid/generate.py", "/nanoid/non_secure_generate.py"], "/nanoid/non_secure_generate.py": ["/nanoid/resources.py"], "/test/generate_test.py": ["/nanoid/__init__.py"], "/nanoid/generate.py": ["/nanoid/algorithm.py", "/nanoid/method.py", "/nanoid/resources.py"], "/test/url_test.py": ["/nanoid/r... |
28,141 | jgarte/py-nanoid | refs/heads/master | /test/generate_test.py | from sys import maxsize
from unittest import TestCase
from nanoid import generate
class TestGenerate(TestCase):
def test_has_flat_distribution(self):
count = 100 * 1000
length = 5
alphabet = 'abcdefghijklmnopqrstuvwxyz'
chars = {}
for _ in range(count):
id = g... | {"/nanoid/__init__.py": ["/nanoid/generate.py", "/nanoid/non_secure_generate.py"], "/nanoid/non_secure_generate.py": ["/nanoid/resources.py"], "/test/generate_test.py": ["/nanoid/__init__.py"], "/nanoid/generate.py": ["/nanoid/algorithm.py", "/nanoid/method.py", "/nanoid/resources.py"], "/test/url_test.py": ["/nanoid/r... |
28,142 | jgarte/py-nanoid | refs/heads/master | /nanoid/generate.py | # coding: utf-8
from __future__ import unicode_literals
from __future__ import division
from nanoid.algorithm import algorithm_generate
from nanoid.method import method
from nanoid.resources import alphabet, size
def generate(alphabet=alphabet, size=size):
return method(algorithm_generate, alphabet, size)
| {"/nanoid/__init__.py": ["/nanoid/generate.py", "/nanoid/non_secure_generate.py"], "/nanoid/non_secure_generate.py": ["/nanoid/resources.py"], "/test/generate_test.py": ["/nanoid/__init__.py"], "/nanoid/generate.py": ["/nanoid/algorithm.py", "/nanoid/method.py", "/nanoid/resources.py"], "/test/url_test.py": ["/nanoid/r... |
28,143 | jgarte/py-nanoid | refs/heads/master | /test/url_test.py | from unittest import TestCase
from nanoid.resources import alphabet
class TestURL(TestCase):
def test_has_no_duplicates(self):
for i in range(len(alphabet)):
self.assertEqual(alphabet.rindex(alphabet[i]), i)
def test_is_string(self):
self.assertEqual(type(alphabet), str)
| {"/nanoid/__init__.py": ["/nanoid/generate.py", "/nanoid/non_secure_generate.py"], "/nanoid/non_secure_generate.py": ["/nanoid/resources.py"], "/test/generate_test.py": ["/nanoid/__init__.py"], "/nanoid/generate.py": ["/nanoid/algorithm.py", "/nanoid/method.py", "/nanoid/resources.py"], "/test/url_test.py": ["/nanoid/r... |
28,144 | jgarte/py-nanoid | refs/heads/master | /nanoid/method.py | from __future__ import unicode_literals
from __future__ import division
from math import ceil, log
def method(algorithm, alphabet, size):
alphabet_len = len(alphabet)
mask = 1
if alphabet_len > 1:
mask = (2 << int(log(alphabet_len - 1) / log(2))) - 1
step = int(ceil(1.6 * mask * size / alpha... | {"/nanoid/__init__.py": ["/nanoid/generate.py", "/nanoid/non_secure_generate.py"], "/nanoid/non_secure_generate.py": ["/nanoid/resources.py"], "/test/generate_test.py": ["/nanoid/__init__.py"], "/nanoid/generate.py": ["/nanoid/algorithm.py", "/nanoid/method.py", "/nanoid/resources.py"], "/test/url_test.py": ["/nanoid/r... |
28,145 | jgarte/py-nanoid | refs/heads/master | /test/method_test.py | # coding: utf-8
from unittest import TestCase
from nanoid.method import method
from nanoid.resources import size
class TestMethod(TestCase):
def test_generates_random_string(self):
sequence = [2, 255, 3, 7, 7, 7, 7, 7, 0, 1]
def rand(size=size):
random_bytes = []
for i i... | {"/nanoid/__init__.py": ["/nanoid/generate.py", "/nanoid/non_secure_generate.py"], "/nanoid/non_secure_generate.py": ["/nanoid/resources.py"], "/test/generate_test.py": ["/nanoid/__init__.py"], "/nanoid/generate.py": ["/nanoid/algorithm.py", "/nanoid/method.py", "/nanoid/resources.py"], "/test/url_test.py": ["/nanoid/r... |
28,146 | jgarte/py-nanoid | refs/heads/master | /setup.py | from setuptools import setup
with open("README.md", "r") as f:
long_description = f.read()
setup(
name='nanoid',
version='2.0.0',
author='Paul Yuan',
author_email='puyuan1@gmail.com',
description='A tiny, secure, URL-friendly, unique string ID generator for Python',
long_description=long_d... | {"/nanoid/__init__.py": ["/nanoid/generate.py", "/nanoid/non_secure_generate.py"], "/nanoid/non_secure_generate.py": ["/nanoid/resources.py"], "/test/generate_test.py": ["/nanoid/__init__.py"], "/nanoid/generate.py": ["/nanoid/algorithm.py", "/nanoid/method.py", "/nanoid/resources.py"], "/test/url_test.py": ["/nanoid/r... |
28,147 | jgarte/py-nanoid | refs/heads/master | /nanoid/algorithm.py | from __future__ import unicode_literals
from __future__ import division
from os import urandom
def algorithm_generate(random_bytes):
return bytearray(urandom(random_bytes))
| {"/nanoid/__init__.py": ["/nanoid/generate.py", "/nanoid/non_secure_generate.py"], "/nanoid/non_secure_generate.py": ["/nanoid/resources.py"], "/test/generate_test.py": ["/nanoid/__init__.py"], "/nanoid/generate.py": ["/nanoid/algorithm.py", "/nanoid/method.py", "/nanoid/resources.py"], "/test/url_test.py": ["/nanoid/r... |
28,148 | jgarte/py-nanoid | refs/heads/master | /test/non_secure_test.py | from sys import maxsize
from unittest import TestCase
from nanoid import non_secure_generate
from nanoid.resources import alphabet
class TestNonSecure(TestCase):
def test_changes_id_length(self):
self.assertEqual(len(non_secure_generate(size=10)), 10)
def test_generates_url_friendly_id(self):
... | {"/nanoid/__init__.py": ["/nanoid/generate.py", "/nanoid/non_secure_generate.py"], "/nanoid/non_secure_generate.py": ["/nanoid/resources.py"], "/test/generate_test.py": ["/nanoid/__init__.py"], "/nanoid/generate.py": ["/nanoid/algorithm.py", "/nanoid/method.py", "/nanoid/resources.py"], "/test/url_test.py": ["/nanoid/r... |
28,149 | jgarte/py-nanoid | refs/heads/master | /test/algorithm_test.py | from unittest import TestCase
from nanoid.algorithm import algorithm_generate
class TestAlgorithm(TestCase):
def test_generates_random_buffers(self):
numbers = {}
random_bytes = algorithm_generate(10000)
self.assertEqual(len(random_bytes), 10000)
for i in range(len(random_bytes)):... | {"/nanoid/__init__.py": ["/nanoid/generate.py", "/nanoid/non_secure_generate.py"], "/nanoid/non_secure_generate.py": ["/nanoid/resources.py"], "/test/generate_test.py": ["/nanoid/__init__.py"], "/nanoid/generate.py": ["/nanoid/algorithm.py", "/nanoid/method.py", "/nanoid/resources.py"], "/test/url_test.py": ["/nanoid/r... |
28,150 | jgarte/py-nanoid | refs/heads/master | /nanoid/resources.py | alphabet = '_-0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'
size = 21
| {"/nanoid/__init__.py": ["/nanoid/generate.py", "/nanoid/non_secure_generate.py"], "/nanoid/non_secure_generate.py": ["/nanoid/resources.py"], "/test/generate_test.py": ["/nanoid/__init__.py"], "/nanoid/generate.py": ["/nanoid/algorithm.py", "/nanoid/method.py", "/nanoid/resources.py"], "/test/url_test.py": ["/nanoid/r... |
28,169 | JulianH99/cor-pattern | refs/heads/master | /main.py | from cor_pattern.currencies import UsDollarCurrencyHandler, EurCurrencyHandler, YenCurrencyHandler
from cor_pattern.currency_type import CurrencyType
from math import floor
def main():
usdollar_handler = UsDollarCurrencyHandler()
eur_handler = EurCurrencyHandler(usdollar_handler)
yen_handler = YenCurrency... | {"/main.py": ["/cor_pattern/currencies.py", "/cor_pattern/currency_type.py"], "/cor_pattern/currencies.py": ["/cor_pattern/currency_type.py"]} |
28,170 | JulianH99/cor-pattern | refs/heads/master | /cor_pattern/currencies.py |
from abc import ABCMeta, abstractmethod
from cor_pattern.currency_type import CurrencyType
class BaseCurrencyHandler(metaclass=ABCMeta):
"""
BaseCurrencyHandler exposes common methods and properties for other currency handlers
"""
def __init__(self, next_currency_handler=None):
self.next_cu... | {"/main.py": ["/cor_pattern/currencies.py", "/cor_pattern/currency_type.py"], "/cor_pattern/currencies.py": ["/cor_pattern/currency_type.py"]} |
28,171 | JulianH99/cor-pattern | refs/heads/master | /cor_pattern/currency_type.py | from enum import Enum, auto
class CurrencyType(Enum):
USDollar = auto()
Yen = auto()
Eur = auto()
Cad = auto()
| {"/main.py": ["/cor_pattern/currencies.py", "/cor_pattern/currency_type.py"], "/cor_pattern/currencies.py": ["/cor_pattern/currency_type.py"]} |
28,172 | nicknguyenuts/IPPRProject | refs/heads/main | /Reference/pre.py | import cv2 as cv
import numpy as np
#read in image from dataset
img = cv.imread('dataset/9.jpg')
cv.imshow('9', img)
#convert image to grayscale
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
cv.imshow('Gray', gray)
#Blur and reduce noise- note there are a number
#using Guassian
blur = cv.GaussianBlur(img, (3,3), cv.BO... | {"/compiledpreprocessingtest2.py": ["/LoadShowBoundingBox.py"], "/Test.py": ["/LoadShowBoundingBox.py"], "/PyTesseractTest.py": ["/LoadShowBoundingBox.py"], "/resize.py": ["/LoadShowBoundingBox.py"], "/DetectandEvaluateLicensePlate.py": ["/Evaluate.py", "/LoadShowBoundingBox.py", "/ImagePipeline1.py"], "/Evaluate.py": ... |
28,173 | nicknguyenuts/IPPRProject | refs/heads/main | /Reference/read.py | import cv2 as cv #import OpenCV
img = cv.imread('dataset/142.jpg') #reads in image
cv.imshow('142', img) #displays image in new window
cv.waitKey(0) #waits for a key to be pressed
| {"/compiledpreprocessingtest2.py": ["/LoadShowBoundingBox.py"], "/Test.py": ["/LoadShowBoundingBox.py"], "/PyTesseractTest.py": ["/LoadShowBoundingBox.py"], "/resize.py": ["/LoadShowBoundingBox.py"], "/DetectandEvaluateLicensePlate.py": ["/Evaluate.py", "/LoadShowBoundingBox.py", "/ImagePipeline1.py"], "/Evaluate.py": ... |
28,174 | nicknguyenuts/IPPRProject | refs/heads/main | /compiledpreprocessingtest2.py | import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
import imutils as im
from LoadShowBoundingBox import*
#read in image from dataset and convert to grayscale
img = getImage()
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
plt.imshow(cv.cvtColor(gray,cv.COLOR_BGR2RGB))
# Noise removal with bilateral filte... | {"/compiledpreprocessingtest2.py": ["/LoadShowBoundingBox.py"], "/Test.py": ["/LoadShowBoundingBox.py"], "/PyTesseractTest.py": ["/LoadShowBoundingBox.py"], "/resize.py": ["/LoadShowBoundingBox.py"], "/DetectandEvaluateLicensePlate.py": ["/Evaluate.py", "/LoadShowBoundingBox.py", "/ImagePipeline1.py"], "/Evaluate.py": ... |
28,175 | nicknguyenuts/IPPRProject | refs/heads/main | /Reference/Smoothing.py | import cv2 as cv
#read in image from dataset
img = cv.imread('dataset/9.jpg')
cv.imshow('9', img)
#averaging (method of blurring)
average = cv.blur(img, (3,3))
cv.imshow('Average Blur', average)
#Guassian Blur- similar to averaging (instead of computing the average, each pixel is given a weight and the average of th... | {"/compiledpreprocessingtest2.py": ["/LoadShowBoundingBox.py"], "/Test.py": ["/LoadShowBoundingBox.py"], "/PyTesseractTest.py": ["/LoadShowBoundingBox.py"], "/resize.py": ["/LoadShowBoundingBox.py"], "/DetectandEvaluateLicensePlate.py": ["/Evaluate.py", "/LoadShowBoundingBox.py", "/ImagePipeline1.py"], "/Evaluate.py": ... |
28,176 | nicknguyenuts/IPPRProject | refs/heads/main | /Test.py | import pandas as pd
import numpy as np
from LoadShowBoundingBox import showImage
import cv2 as cv
#img = cv.imread("dataset/142.jpg")
# gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
# edge = cv.Canny(gray, 5,5)
# cv.imshow("142", img)
# cv.imshow("142_gray", gray)
# cv.imshow("Canny", edge)
# cv.waitKey(0)
#showImage... | {"/compiledpreprocessingtest2.py": ["/LoadShowBoundingBox.py"], "/Test.py": ["/LoadShowBoundingBox.py"], "/PyTesseractTest.py": ["/LoadShowBoundingBox.py"], "/resize.py": ["/LoadShowBoundingBox.py"], "/DetectandEvaluateLicensePlate.py": ["/Evaluate.py", "/LoadShowBoundingBox.py", "/ImagePipeline1.py"], "/Evaluate.py": ... |
28,177 | nicknguyenuts/IPPRProject | refs/heads/main | /LoadShowBoundingBox.py | import os
import numpy as np
import cv2 as cv
import xml.etree.ElementTree as et
import pandas as pd
import random
DIR = r"dataset\\"
#DIR = './dataset/'
# Get Plate Cords Returns the coordinates of a number plate for the i-th image in the folder.
def getPlateCords(filenum):
tree = et.parse(DIR+str(filenum)+".xm... | {"/compiledpreprocessingtest2.py": ["/LoadShowBoundingBox.py"], "/Test.py": ["/LoadShowBoundingBox.py"], "/PyTesseractTest.py": ["/LoadShowBoundingBox.py"], "/resize.py": ["/LoadShowBoundingBox.py"], "/DetectandEvaluateLicensePlate.py": ["/Evaluate.py", "/LoadShowBoundingBox.py", "/ImagePipeline1.py"], "/Evaluate.py": ... |
28,178 | nicknguyenuts/IPPRProject | refs/heads/main | /sift.py | import cv2
from matplotlib import pyplot as plt
img1 = cv2.imread('./dataset/50.jpg',cv2.COLOR_BGR2GRAY)
img2 = cv2.imread('./dataset/51.jpg',cv2.COLOR_BGR2GRAY)
#create SIFT detector
orb = cv2.ORB_create()
#get keypoints and descriptors
kp1, des1 = orb.detectAndCompute(img1,None)
kp2, des2 = orb.detectAndCompute(i... | {"/compiledpreprocessingtest2.py": ["/LoadShowBoundingBox.py"], "/Test.py": ["/LoadShowBoundingBox.py"], "/PyTesseractTest.py": ["/LoadShowBoundingBox.py"], "/resize.py": ["/LoadShowBoundingBox.py"], "/DetectandEvaluateLicensePlate.py": ["/Evaluate.py", "/LoadShowBoundingBox.py", "/ImagePipeline1.py"], "/Evaluate.py": ... |
28,179 | nicknguyenuts/IPPRProject | refs/heads/main | /PyTesseractTest.py | import pytesseract as pt
import cv2 as cv
import numpy as np
from LoadShowBoundingBox import *
import matplotlib.pyplot as plt
import imutils as im
import re
pt.pytesseract.tesseract_cmd = r'C:\Users\danie\tesseract.exe'
custom_config = r'--oem 3 --psm 6'
#read in image from dataset and convert to grayscale
img = get... | {"/compiledpreprocessingtest2.py": ["/LoadShowBoundingBox.py"], "/Test.py": ["/LoadShowBoundingBox.py"], "/PyTesseractTest.py": ["/LoadShowBoundingBox.py"], "/resize.py": ["/LoadShowBoundingBox.py"], "/DetectandEvaluateLicensePlate.py": ["/Evaluate.py", "/LoadShowBoundingBox.py", "/ImagePipeline1.py"], "/Evaluate.py": ... |
28,180 | nicknguyenuts/IPPRProject | refs/heads/main | /Reference/histogram.py | import cv2 as cv
import matplotlib.pyplot as plt
from numpy import histogram
#histogram computation- visualise the distribution of pixel intensities in an image
img = cv.imread('dataset/9.jpg')
cv.imshow('9', img)
#can compute histogram for both RGB and grayscale images
#gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
#... | {"/compiledpreprocessingtest2.py": ["/LoadShowBoundingBox.py"], "/Test.py": ["/LoadShowBoundingBox.py"], "/PyTesseractTest.py": ["/LoadShowBoundingBox.py"], "/resize.py": ["/LoadShowBoundingBox.py"], "/DetectandEvaluateLicensePlate.py": ["/Evaluate.py", "/LoadShowBoundingBox.py", "/ImagePipeline1.py"], "/Evaluate.py": ... |
28,181 | nicknguyenuts/IPPRProject | refs/heads/main | /resize.py | import cv2 as cv
from LoadShowBoundingBox import getImage
from LoadShowBoundingBox import*
#DIR = r"\\dataset\\"
#for i in range(0,100):
# img = cv.imread(str(i)+" IMG", cv.imread(DIR+str(i)+".jpg"))
# print('Original Dimensions : ', img.shape)
img = cv.imread('dataset/99.jpg')
print('Original Dimensions : ', i... | {"/compiledpreprocessingtest2.py": ["/LoadShowBoundingBox.py"], "/Test.py": ["/LoadShowBoundingBox.py"], "/PyTesseractTest.py": ["/LoadShowBoundingBox.py"], "/resize.py": ["/LoadShowBoundingBox.py"], "/DetectandEvaluateLicensePlate.py": ["/Evaluate.py", "/LoadShowBoundingBox.py", "/ImagePipeline1.py"], "/Evaluate.py": ... |
28,182 | nicknguyenuts/IPPRProject | refs/heads/main | /Reference/CycleThroughImages.py | import cv2 as cv
import os
from time import sleep
DIR = r"\\dataset\\"
# DIR = './dataset/'
# Update two values based on image ranges
for i in range(0,100):
cv.imshow(str(i)+" IMG", cv.imread(DIR+str(i)+".jpg"))
cv.waitKey(0)
# Label Categories
# Good : g
# Average : a
# bad : b
# Terrible : t
| {"/compiledpreprocessingtest2.py": ["/LoadShowBoundingBox.py"], "/Test.py": ["/LoadShowBoundingBox.py"], "/PyTesseractTest.py": ["/LoadShowBoundingBox.py"], "/resize.py": ["/LoadShowBoundingBox.py"], "/DetectandEvaluateLicensePlate.py": ["/Evaluate.py", "/LoadShowBoundingBox.py", "/ImagePipeline1.py"], "/Evaluate.py": ... |
28,183 | nicknguyenuts/IPPRProject | refs/heads/main | /DetectandEvaluateLicensePlate.py | # Standard Python Library Imports
import numpy as np
import cv2 as cv
import pandas as pd
import os
import sklearn as sk
# Custom Code Imports
from Evaluate import *
from LoadShowBoundingBox import *
from ImagePipeline1 import *
EXCLUDE_CATS = ['a', 'b', 't']
IOU_THRESHOLD = 0.6
Image_Info = pd.read_csv('Img_categor... | {"/compiledpreprocessingtest2.py": ["/LoadShowBoundingBox.py"], "/Test.py": ["/LoadShowBoundingBox.py"], "/PyTesseractTest.py": ["/LoadShowBoundingBox.py"], "/resize.py": ["/LoadShowBoundingBox.py"], "/DetectandEvaluateLicensePlate.py": ["/Evaluate.py", "/LoadShowBoundingBox.py", "/ImagePipeline1.py"], "/Evaluate.py": ... |
28,184 | nicknguyenuts/IPPRProject | refs/heads/main | /Reference/contour.py | import cv2 as cv
import numpy as np
img = cv.imread('dataset/14.jpg') #reads in image
#cv.imshow('14', img) #displays image in new window
#
blank = np.zeros(img.shape, dtype='uint8')
#cv.imshow('Blank', blank)
#convert image to grayscale
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
#cv.imshow('Gray', gray)
#Blur and ... | {"/compiledpreprocessingtest2.py": ["/LoadShowBoundingBox.py"], "/Test.py": ["/LoadShowBoundingBox.py"], "/PyTesseractTest.py": ["/LoadShowBoundingBox.py"], "/resize.py": ["/LoadShowBoundingBox.py"], "/DetectandEvaluateLicensePlate.py": ["/Evaluate.py", "/LoadShowBoundingBox.py", "/ImagePipeline1.py"], "/Evaluate.py": ... |
28,185 | nicknguyenuts/IPPRProject | refs/heads/main | /Evaluate.py | import os
import numpy as np
import cv2 as cv
from LoadShowBoundingBox import *
# Setting out a general structure to this document
# Define a function that when given an image number, and a predicted coordinate location, return a classification
def imgAccuracy(img_num, pred_cords):
true_box = getPlateCords(img_nu... | {"/compiledpreprocessingtest2.py": ["/LoadShowBoundingBox.py"], "/Test.py": ["/LoadShowBoundingBox.py"], "/PyTesseractTest.py": ["/LoadShowBoundingBox.py"], "/resize.py": ["/LoadShowBoundingBox.py"], "/DetectandEvaluateLicensePlate.py": ["/Evaluate.py", "/LoadShowBoundingBox.py", "/ImagePipeline1.py"], "/Evaluate.py": ... |
28,186 | nicknguyenuts/IPPRProject | refs/heads/main | /Reference/bitwise.py | import cv2 as cv
import numpy as np
blank = np.zeros((400, 400), dtype='uint8')
rectangle = cv.rectangle(blank.copy(), (30, 30), (370,370), 255, -1)
circle = cv.circle(blank.copy(), (200, 200), 200, 255, -1)
cv.imshow('Rectangle', rectangle)
cv.imshow('Circle', circle)
#bitwise AND- found the intersecting regions
b... | {"/compiledpreprocessingtest2.py": ["/LoadShowBoundingBox.py"], "/Test.py": ["/LoadShowBoundingBox.py"], "/PyTesseractTest.py": ["/LoadShowBoundingBox.py"], "/resize.py": ["/LoadShowBoundingBox.py"], "/DetectandEvaluateLicensePlate.py": ["/Evaluate.py", "/LoadShowBoundingBox.py", "/ImagePipeline1.py"], "/Evaluate.py": ... |
28,187 | nicknguyenuts/IPPRProject | refs/heads/main | /Reference/CNN.py | import numpy as np
import matplotlib.pyplot as plt
import cv2 as cv
#file path
lp_Cascade = cv.CascadeClassifier('./datset.xml')
def lp_detect(img, text=''): #detects & performs blurring of number plate
lp_img = img.copy()
roi = img.copy()
# detects numberplates and returns the coordinates and dimensions of dete... | {"/compiledpreprocessingtest2.py": ["/LoadShowBoundingBox.py"], "/Test.py": ["/LoadShowBoundingBox.py"], "/PyTesseractTest.py": ["/LoadShowBoundingBox.py"], "/resize.py": ["/LoadShowBoundingBox.py"], "/DetectandEvaluateLicensePlate.py": ["/Evaluate.py", "/LoadShowBoundingBox.py", "/ImagePipeline1.py"], "/Evaluate.py": ... |
28,188 | nicknguyenuts/IPPRProject | refs/heads/main | /ImagePipeline1.py | # Import Standard Python Libraries
import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
import imutils as im
# Create Image processing pipeline function
def processImg(img):
# Convert Grayscale, bilateral and create canny edge detection.
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
bilateral... | {"/compiledpreprocessingtest2.py": ["/LoadShowBoundingBox.py"], "/Test.py": ["/LoadShowBoundingBox.py"], "/PyTesseractTest.py": ["/LoadShowBoundingBox.py"], "/resize.py": ["/LoadShowBoundingBox.py"], "/DetectandEvaluateLicensePlate.py": ["/Evaluate.py", "/LoadShowBoundingBox.py", "/ImagePipeline1.py"], "/Evaluate.py": ... |
28,250 | philnova/gameoflife | refs/heads/master | /alembic/versions/3bb00573b9bb_remove_starting_conditions_column.py | """Remove starting conditions column
Revision ID: 3bb00573b9bb
Revises: 23baa65c35dd
Create Date: 2016-04-04 18:11:55.827663
"""
# revision identifiers, used by Alembic.
revision = '3bb00573b9bb'
down_revision = '23baa65c35dd'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
d... | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,251 | philnova/gameoflife | refs/heads/master | /alembic/versions/5ad205d1f5ec_increase_seed_length.py | """increase seed length
Revision ID: 5ad205d1f5ec
Revises: 3ea83d573121
Create Date: 2016-04-07 16:52:57.082576
"""
# revision identifiers, used by Alembic.
revision = '5ad205d1f5ec'
down_revision = '3ea83d573121'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
def upgrade():... | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,252 | philnova/gameoflife | refs/heads/master | /views/conway.py | #imports
from flask.views import MethodView
from flask import render_template
from flask import Flask, render_template, request, redirect, jsonify, url_for, flash
from flask import make_response
from flask import request, redirect, url_for
import requests
from oauth2client.client import flow_from_clientsecrets
from oa... | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,253 | philnova/gameoflife | refs/heads/master | /alembic/versions/23baa65c35dd_create_ratings_table.py | """create ratings table
Revision ID: 23baa65c35dd
Revises: 2835336d1ae6
Create Date: 2016-03-28 16:31:04.098972
"""
# revision identifiers, used by Alembic.
revision = '23baa65c35dd'
down_revision = '2835336d1ae6'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
def upgrade():... | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,254 | philnova/gameoflife | refs/heads/master | /forms/edituserform.py | from flask_wtf import Form
from wtforms import StringField, DateTimeField, SelectField, IntegerField, TextAreaField
from wtforms.validators import DataRequired, Length
class EditUserForm(Form):
name = StringField('Username', validators=[DataRequired()]) | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,255 | philnova/gameoflife | refs/heads/master | /alembic/versions/28cc6d8b4060_add_shared_column_to_board.py | """add shared column to Board
Revision ID: 28cc6d8b4060
Revises: 5ad205d1f5ec
Create Date: 2016-04-14 14:22:10.202530
"""
# revision identifiers, used by Alembic.
revision = '28cc6d8b4060'
down_revision = '5ad205d1f5ec'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
def upgr... | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,256 | philnova/gameoflife | refs/heads/master | /gameoflife.py | from application import Application, handlers
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
import os
app = Application(handlers, config=os.environ, debug=True)
db = app.db
development = app.development
#some_engine = create_engin... | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,257 | philnova/gameoflife | refs/heads/master | /alembic/versions/cef561b43b1_create_users_table.py | """create users table
Revision ID: cef561b43b1
Revises:
Create Date: 2016-03-28 16:23:15.848108
"""
# revision identifiers, used by Alembic.
revision = 'cef561b43b1'
down_revision = None
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
def upgrade():
op.create_table(
... | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,258 | philnova/gameoflife | refs/heads/master | /forms/saveform.py | from flask_wtf import Form
from wtforms import StringField, DateTimeField, SelectField, IntegerField, TextAreaField, BooleanField
from wtforms.validators import DataRequired, Length
class SaveForm(Form):
nickname = StringField('Nickname for this board', validators=[DataRequired()])
shared = BooleanField('Check... | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,259 | philnova/gameoflife | refs/heads/master | /alembic/versions/2835336d1ae6_create_board_table.py | """create board table
Revision ID: 2835336d1ae6
Revises: cef561b43b1
Create Date: 2016-03-28 16:26:19.377178
"""
# revision identifiers, used by Alembic.
revision = '2835336d1ae6'
down_revision = 'cef561b43b1'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
def upgrade():
... | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,260 | philnova/gameoflife | refs/heads/master | /forms/setprivacyform.py | from flask_wtf import Form
from wtforms import BooleanField, RadioField
from wtforms.validators import DataRequired, Length
class SetPrivacyForm(Form):
#shared = BooleanField('Check to make this board publicly shared')
privacy = RadioField('Set Privacy for this board', validators=[DataRequired()], choices=[('s... | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,261 | philnova/gameoflife | refs/heads/master | /runapp.py | import gameoflife
gameoflife.app.start_app() | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,262 | philnova/gameoflife | refs/heads/master | /alembic/versions/498a7e1175e3_remove_email_column.py | """Remove email column
Revision ID: 498a7e1175e3
Revises: 161384c7b438
Create Date: 2016-04-05 13:31:31.600141
"""
# revision identifiers, used by Alembic.
revision = '498a7e1175e3'
down_revision = '161384c7b438'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
def upgrade():
... | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,263 | philnova/gameoflife | refs/heads/master | /alembic/versions/161384c7b438_add_seed_string_column.py | """Add seed_string column
Revision ID: 161384c7b438
Revises: 3bb00573b9bb
Create Date: 2016-04-04 18:14:02.220662
"""
# revision identifiers, used by Alembic.
revision = '161384c7b438'
down_revision = '3bb00573b9bb'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
def upgrade(... | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,264 | philnova/gameoflife | refs/heads/master | /application.py | import flask
import flask.ext.sqlalchemy
from views.conway import Draw, LoginBackend, Login, LogoutBackend, SaveBackend, Save, UserProfile, EditUser, EditUserBackend
from views.conway import RenameBoard, RenameBoardBackend, DeleteBoard, DeleteBoardBackend, DeleteUser, DeleteUserBackend, Load
from views.conway import Se... | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,265 | philnova/gameoflife | refs/heads/master | /alembic/versions/3ea83d573121_add_google_id_column.py | """add google id column
Revision ID: 3ea83d573121
Revises: 498a7e1175e3
Create Date: 2016-04-05 13:33:47.141402
"""
# revision identifiers, used by Alembic.
revision = '3ea83d573121'
down_revision = '498a7e1175e3'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
def upgrade():... | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,266 | philnova/gameoflife | refs/heads/master | /models/users.py | from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, DateTime, String, ForeignKey, Boolean
import arrow
Base = declarative_base()
class User(Base):
__tablename__ = 'users'
id = Column(Integer, primary_key=True)
name = Column(String(200), nullable=False)
goo... | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,267 | philnova/gameoflife | refs/heads/master | /forms/renameboardform.py | from flask_wtf import Form
from wtforms import StringField, DateTimeField, SelectField, IntegerField, TextAreaField
from wtforms.validators import DataRequired, Length
class RenameBoardForm(Form):
nickname = StringField('Nickname', validators=[DataRequired()]) | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,268 | philnova/gameoflife | refs/heads/master | /alembic/versions/555e3a95692b_add_like_column_to_rating.py | """add like column to Rating
Revision ID: 555e3a95692b
Revises: 28cc6d8b4060
Create Date: 2016-04-14 16:52:14.725720
"""
# revision identifiers, used by Alembic.
revision = '555e3a95692b'
down_revision = '28cc6d8b4060'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
def upgra... | {"/gameoflife.py": ["/application.py"], "/runapp.py": ["/gameoflife.py"], "/application.py": ["/views/conway.py"]} |
28,293 | cmedanielle/ProgIIBST | refs/heads/master | /bst_test.py | from bst import BST
arvore = BST()
arvore.insert(30)
arvore.insert(23)
arvore.insert(7)
arvore.insert(28)
arvore.insert(70)
arvore.insert(89)
arvore.insert(26)
arvore.inOrderTransversal()
arvore.remove(30, arvore.root)
print()
arvore.inOrderTransversal() | {"/bst_test.py": ["/bst.py"]} |
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