index int64 | repo_name string | branch_name string | path string | content string | import_graph string |
|---|---|---|---|---|---|
2,869 | SwannSG/womansSheltersZApython | refs/heads/master | /automate.py | #!/usr/bin/python3
"""
automate
<arbitrary>
topojson
gzip
"""
import subprocess
import geoJsonAddPropName
import geoJsonChgPropName
import geoJsonDelPropName
DST_DIR = '/home/swannsg/development/womansSheleterPy/data/geoJson'
PROVINCES = ['EC', 'FS', 'KN', 'LIM', 'MP', 'NC', 'NW', 'WC']
PRO... | {"/automate.py": ["/geoJsonAddPropName.py", "/geoJsonChgPropName.py", "/geoJsonDelPropName.py"], "/multiFilesKmlToJson.py": ["/kmlToJson.py", "/mergeGeoJsonFiles.py"]} |
2,870 | SwannSG/womansSheltersZApython | refs/heads/master | /sheltersCSVtoGeoJson.py | """
shelters.csv to geoJson
"""
import pprint
import json
CSV = '/home/swannsg/development/womansSheleterPy/data/sheltersFromKirsty/Western Cape Shelters GPS coordinates.csv'
OUT = '/home/swannsg/development/womansSheleterPy/data/geoJson/WC/shelters/WCshelters.geojson'
result= {}
result['type'] = 'FeatureCollecti... | {"/automate.py": ["/geoJsonAddPropName.py", "/geoJsonChgPropName.py", "/geoJsonDelPropName.py"], "/multiFilesKmlToJson.py": ["/kmlToJson.py", "/mergeGeoJsonFiles.py"]} |
2,871 | SwannSG/womansSheltersZApython | refs/heads/master | /mapWardIdtoMunicipalName.py | """
map wardId to municipality name
input file: any ward geojson file
"""
import json
import pickle
import pprint
SRC_FILE = '/home/swannsg/development/womansSheleterPy/data/geoJson/WC/merge/WCmerged.geojson'
PICKLE_FILE = '/home/swannsg/development/womansSheleterPy/data/sundryStuff/wardId_munName.pkl'
fp ... | {"/automate.py": ["/geoJsonAddPropName.py", "/geoJsonChgPropName.py", "/geoJsonDelPropName.py"], "/multiFilesKmlToJson.py": ["/kmlToJson.py", "/mergeGeoJsonFiles.py"]} |
2,872 | SwannSG/womansSheltersZApython | refs/heads/master | /multiFilesKmlToJson.py | """
convert multiple kml files to geojson format
PROVINCE: set to the province eg. WC
FILES_TO_IGNORE: files in SRC_DIR that should not be converted
SRC_DIR: contains multiple kml files
DST_DIR: where kml to geojson result files are placed
"""
import os
import kmlToJson
import mergeGeoJsonFiles
# ... | {"/automate.py": ["/geoJsonAddPropName.py", "/geoJsonChgPropName.py", "/geoJsonDelPropName.py"], "/multiFilesKmlToJson.py": ["/kmlToJson.py", "/mergeGeoJsonFiles.py"]} |
2,873 | SwannSG/womansSheltersZApython | refs/heads/master | /csvFem18-120.py | """
Statistics South Africa
Descriptive_Electoral_Wards
Table 1
Geography by Gender
" for Person weighted, 18 - 120"
,"Male","Female","Grand Total"
Females 18 to 120
output = {wardID: {f18-120: <number>}}
result is pickled
"""
import pickle
filename = "/home/swannsg/developme... | {"/automate.py": ["/geoJsonAddPropName.py", "/geoJsonChgPropName.py", "/geoJsonDelPropName.py"], "/multiFilesKmlToJson.py": ["/kmlToJson.py", "/mergeGeoJsonFiles.py"]} |
2,874 | SwannSG/womansSheltersZApython | refs/heads/master | /geoJsonDelPropName.py | """
geoJsonDelPropName.py
feature.properties = {key_1: value_1, ...}
Delete key_N from feature.properties
"""
import json
import pickle
import pprint
SRC_FILE = '/home/swannsg/development/womansSheleterPy/data/geoJson/WC/merge/WCmergedTest.geojson'
DEL = ['females']
def delete():
fp = open(SRC_FILE,... | {"/automate.py": ["/geoJsonAddPropName.py", "/geoJsonChgPropName.py", "/geoJsonDelPropName.py"], "/multiFilesKmlToJson.py": ["/kmlToJson.py", "/mergeGeoJsonFiles.py"]} |
2,893 | nimotsu/stock | refs/heads/master | /scrape.py | #!/usr/bin/env python
# coding: utf-8
import sys
import xlsxwriter
import datetime
from stock import Stock
from stock import Webpage
import os
import numpy as np
import warnings
warnings.filterwarnings("ignore")
now = datetime.datetime.now()
def search(term: str, df, index = 1):
result = df[df[0].str.contains... | {"/scrape.py": ["/stock.py"]} |
2,894 | nimotsu/stock | refs/heads/master | /stock.py | import requests
import pandas as pd
import re
from bs4 import BeautifulSoup
def url2html(url, headers=None, params=None, data=None):
headers={'User-Agent': 'Mozilla/5.0'}
try:
req = requests.get(url, headers=headers, params=params, data=data)
except:
req = requests.get(url, headers=headers,... | {"/scrape.py": ["/stock.py"]} |
2,925 | gheinrich/DIGITS | refs/heads/master | /digits/dataset/tasks/__init__.py | # Copyright (c) 2014-2016, NVIDIA CORPORATION. All rights reserved.
from __future__ import absolute_import
from .analyze_db import AnalyzeDbTask
from .create_db import CreateDbTask
from .create_generic_db import CreateGenericDbTask
from .parse_folder import ParseFolderTask
| {"/digits/model/tasks/test_caffe_train.py": ["/digits/model/tasks/__init__.py"], "/digits/model/images/classification/forms.py": ["/digits/model/images/forms.py"], "/digits/model/images/generic/forms.py": ["/digits/model/images/forms.py"]} |
2,926 | gheinrich/DIGITS | refs/heads/master | /digits/model/images/forms.py | # Copyright (c) 2014-2016, NVIDIA CORPORATION. All rights reserved.
from __future__ import absolute_import
import wtforms
from wtforms import validators
from ..forms import ModelForm
from digits import utils
class ImageModelForm(ModelForm):
"""
Defines the form used to create a new ImageModelJob
"""
... | {"/digits/model/tasks/test_caffe_train.py": ["/digits/model/tasks/__init__.py"], "/digits/model/images/classification/forms.py": ["/digits/model/images/forms.py"], "/digits/model/images/generic/forms.py": ["/digits/model/images/forms.py"]} |
2,927 | gheinrich/DIGITS | refs/heads/master | /digits/model/tasks/test_caffe_train.py | # Copyright (c) 2014-2016, NVIDIA CORPORATION. All rights reserved.
from __future__ import absolute_import
from . import caffe_train
from digits import test_utils
def test_caffe_imports():
test_utils.skipIfNotFramework('caffe')
import numpy
import google.protobuf
| {"/digits/model/tasks/test_caffe_train.py": ["/digits/model/tasks/__init__.py"], "/digits/model/images/classification/forms.py": ["/digits/model/images/forms.py"], "/digits/model/images/generic/forms.py": ["/digits/model/images/forms.py"]} |
2,928 | gheinrich/DIGITS | refs/heads/master | /digits/model/tasks/__init__.py | # Copyright (c) 2014-2016, NVIDIA CORPORATION. All rights reserved.
from __future__ import absolute_import
from .caffe_train import CaffeTrainTask
from .torch_train import TorchTrainTask
from .train import TrainTask
| {"/digits/model/tasks/test_caffe_train.py": ["/digits/model/tasks/__init__.py"], "/digits/model/images/classification/forms.py": ["/digits/model/images/forms.py"], "/digits/model/images/generic/forms.py": ["/digits/model/images/forms.py"]} |
2,929 | gheinrich/DIGITS | refs/heads/master | /digits/pretrained_model/tasks/__init__.py | # Copyright (c) 2016, NVIDIA CORPORATION. All rights reserved.
from __future__ import absolute_import
from .upload_pretrained import UploadPretrainedModelTask
from .caffe_upload import CaffeUploadTask
from .torch_upload import TorchUploadTask
| {"/digits/model/tasks/test_caffe_train.py": ["/digits/model/tasks/__init__.py"], "/digits/model/images/classification/forms.py": ["/digits/model/images/forms.py"], "/digits/model/images/generic/forms.py": ["/digits/model/images/forms.py"]} |
2,930 | gheinrich/DIGITS | refs/heads/master | /digits/pretrained_model/__init__.py | # Copyright (c) 2016, NVIDIA CORPORATION. All rights reserved.
from __future__ import absolute_import
from .job import PretrainedModelJob
| {"/digits/model/tasks/test_caffe_train.py": ["/digits/model/tasks/__init__.py"], "/digits/model/images/classification/forms.py": ["/digits/model/images/forms.py"], "/digits/model/images/generic/forms.py": ["/digits/model/images/forms.py"]} |
2,931 | gheinrich/DIGITS | refs/heads/master | /digits/model/images/classification/forms.py | # Copyright (c) 2014-2016, NVIDIA CORPORATION. All rights reserved.
from __future__ import absolute_import
import wtforms
from wtforms import validators
from ..forms import ImageModelForm
class ImageClassificationModelForm(ImageModelForm):
"""
Defines the form used to create a new ImageClassificationModelJo... | {"/digits/model/tasks/test_caffe_train.py": ["/digits/model/tasks/__init__.py"], "/digits/model/images/classification/forms.py": ["/digits/model/images/forms.py"], "/digits/model/images/generic/forms.py": ["/digits/model/images/forms.py"]} |
2,932 | gheinrich/DIGITS | refs/heads/master | /digits/config/__init__.py | # Copyright (c) 2015-2016, NVIDIA CORPORATION. All rights reserved.
from __future__ import absolute_import
# Create this object before importing the following imports, since they edit the list
option_list = {}
from . import caffe
from . import gpu_list
from . import jobs_dir
from . import log_file
from . import torc... | {"/digits/model/tasks/test_caffe_train.py": ["/digits/model/tasks/__init__.py"], "/digits/model/images/classification/forms.py": ["/digits/model/images/forms.py"], "/digits/model/images/generic/forms.py": ["/digits/model/images/forms.py"]} |
2,933 | gheinrich/DIGITS | refs/heads/master | /digits/model/images/generic/forms.py | # Copyright (c) 2015-2016, NVIDIA CORPORATION. All rights reserved.
from __future__ import absolute_import
import wtforms
from wtforms import validators
from ..forms import ImageModelForm
class GenericImageModelForm(ImageModelForm):
"""
Defines the form used to create a new GenericImageModelJob
"""
... | {"/digits/model/tasks/test_caffe_train.py": ["/digits/model/tasks/__init__.py"], "/digits/model/images/classification/forms.py": ["/digits/model/images/forms.py"], "/digits/model/images/generic/forms.py": ["/digits/model/images/forms.py"]} |
2,936 | JiTao3/hierarchical_attention | refs/heads/master | /util/qerror.py | from typing import List
import numpy as np
def cal_q_error(predict, label, log=True):
if log:
predict = np.e**predict
label = np.e**label
if predict > label:
q_error = predict / label
else:
q_error = label / predict
return q_error
def print_qerror(q_error: List):
... | {"/util/prase_tree2node_leaf.py": ["/util/plan_to_tree.py"], "/train.py": ["/model/encoder.py", "/util/dataset.py"], "/model/decoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/model/encoder.py"], "/model/encoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/util/dataset.py"], ... |
2,937 | JiTao3/hierarchical_attention | refs/heads/master | /util/prase_tree2node_leaf.py | from typing import List
from collections import deque
import copy
import numpy as np
import torch
from util.plan_to_tree import Node, parse_dep_tree_text
def add_node_index(root: Node) -> Node:
# add an index tu the tree to identify a node uniquely
# so that we can jsutufy the ancenstral relationship betwee... | {"/util/prase_tree2node_leaf.py": ["/util/plan_to_tree.py"], "/train.py": ["/model/encoder.py", "/util/dataset.py"], "/model/decoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/model/encoder.py"], "/model/encoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/util/dataset.py"], ... |
2,938 | JiTao3/hierarchical_attention | refs/heads/master | /util/__init__.py |
__all__=[
'plan_to_tree',
'prase_tree2node_leaf'
] | {"/util/prase_tree2node_leaf.py": ["/util/plan_to_tree.py"], "/train.py": ["/model/encoder.py", "/util/dataset.py"], "/model/decoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/model/encoder.py"], "/model/encoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/util/dataset.py"], ... |
2,939 | JiTao3/hierarchical_attention | refs/heads/master | /train.py | import math
from model.encoder import Encoder
from util.dataset import PlanDataset
import torch
import torch.optim as optim
import torch.nn as nn
from torch.utils.data import DataLoader, random_split
from torchsummary import summary
# device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
dataset = P... | {"/util/prase_tree2node_leaf.py": ["/util/plan_to_tree.py"], "/train.py": ["/model/encoder.py", "/util/dataset.py"], "/model/decoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/model/encoder.py"], "/model/encoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/util/dataset.py"], ... |
2,940 | JiTao3/hierarchical_attention | refs/heads/master | /model/decoder.py | from torch.autograd import Variable
import time
import copy
import math
import torch.nn.functional as F
import torch.nn as nn
import torch
import numpy as np
import os
import sys
sys.path.append(os.path.abspath(os.getcwd()))
print(sys.path)
from util.plan_to_tree import Node, parse_dep_tree_text
from util.prase_tree2... | {"/util/prase_tree2node_leaf.py": ["/util/plan_to_tree.py"], "/train.py": ["/model/encoder.py", "/util/dataset.py"], "/model/decoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/model/encoder.py"], "/model/encoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/util/dataset.py"], ... |
2,941 | JiTao3/hierarchical_attention | refs/heads/master | /model/encoder.py | import copy
import math
import torch.nn.functional as F
import torch.nn as nn
import torch
import numpy as np
import os
import sys
sys.path.append(os.path.abspath(os.getcwd()))
# print(sys.path)
from util.plan_to_tree import Node, parse_dep_tree_text
from util.prase_tree2node_leaf import treeInterpolation, upward_ca,... | {"/util/prase_tree2node_leaf.py": ["/util/plan_to_tree.py"], "/train.py": ["/model/encoder.py", "/util/dataset.py"], "/model/decoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/model/encoder.py"], "/model/encoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/util/dataset.py"], ... |
2,942 | JiTao3/hierarchical_attention | refs/heads/master | /util/plan_to_tree.py | import os
import numpy as np
operators = [
"Merge Join",
"Hash",
"Index Only Scan using title_pkey on title t",
"Sort",
"Seq Scan",
"Index Scan using title_pkey on title t",
"Materialize",
"Nested Loop",
"Hash Join",
]
columns = [
"ci.movie_id",
"t.id",
"mi_idx.movie_id"... | {"/util/prase_tree2node_leaf.py": ["/util/plan_to_tree.py"], "/train.py": ["/model/encoder.py", "/util/dataset.py"], "/model/decoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/model/encoder.py"], "/model/encoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/util/dataset.py"], ... |
2,943 | JiTao3/hierarchical_attention | refs/heads/master | /util/dataset.py | import time
import copy
import math
import torch.nn.functional as F
import torch.nn as nn
import torch
import numpy as np
import os
import sys
from torch.utils.data import Dataset, DataLoader
sys.path.append(os.path.abspath(os.getcwd()))
# print(sys.path)
from util.plan_to_tree import Node, parse_dep_tree_text, tree... | {"/util/prase_tree2node_leaf.py": ["/util/plan_to_tree.py"], "/train.py": ["/model/encoder.py", "/util/dataset.py"], "/model/decoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/model/encoder.py"], "/model/encoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/util/dataset.py"], ... |
2,944 | JiTao3/hierarchical_attention | refs/heads/master | /util/result.py |
import sys
import os
import numpy as np
sys.path.append(os.path.abspath(os.getcwd()))
from util.qerror import cal_q_error, print_qerror
with open("/home/jitao/hierarchical_attention/data/dmodel512/resutlv1.0-e10-N4-lr0.001.txt", 'r') as f:
lines = f.readlines()
label_output = [line.split(' ') for line in ... | {"/util/prase_tree2node_leaf.py": ["/util/plan_to_tree.py"], "/train.py": ["/model/encoder.py", "/util/dataset.py"], "/model/decoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/model/encoder.py"], "/model/encoder.py": ["/util/plan_to_tree.py", "/util/prase_tree2node_leaf.py", "/util/dataset.py"], ... |
2,963 | ZKDeep/Hand-Written-Urdu-Character-Recognition-using-DenseNet121 | refs/heads/master | /arguments.py | # -*- coding: utf-8 -*-
"""
Created on Mon Dec 9 20:41:45 2019
@author: zubair
"""
batch_size = 2
no_epochs = 1
training_path = "train/"
validation_path = "valid/"
test_path = "test/"
| {"/densenet121.py": ["/arguments.py"]} |
2,964 | ZKDeep/Hand-Written-Urdu-Character-Recognition-using-DenseNet121 | refs/heads/master | /densenet121.py | # -*- coding: utf-8 -*-
"""
Created on Sat Sep 7 01:46:43 2019
@author: zubair
"""
import numpy as np
import keras
from matplotlib import pyplot as plt
from keras import Model
from keras import applications
from keras.preprocessing.image import ImageDataGenerator
import os
from keras.layers impor... | {"/densenet121.py": ["/arguments.py"]} |
2,965 | lqfGaara/sinaSpider | refs/heads/master | /sinaSpider/start.py | from scrapy import cmdline
cmdline.execute("scrapy crawl sinaNewSpider".split())
| {"/sinaSpider/spiders/sinaNewSpider.py": ["/sinaSpider/items.py"]} |
2,966 | lqfGaara/sinaSpider | refs/heads/master | /sinaSpider/spiders/sinaNewSpider.py | # -*- coding: utf-8 -*-
import scrapy
import os
from sinaSpider.items import SinaspiderItem
class SinanewspiderSpider(scrapy.Spider):
name = 'sinaNewSpider'
allowed_domains = ['news.sina.com.cn']
start_urls = ['http://news.sina.com.cn/guide/']
def parse(self, response):
# 父目录名
parentN... | {"/sinaSpider/spiders/sinaNewSpider.py": ["/sinaSpider/items.py"]} |
2,967 | lqfGaara/sinaSpider | refs/heads/master | /sinaSpider/items.py | # -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
import scrapy
class SinaspiderItem(scrapy.Item):
# define the fields for your item here like:
childUrl=scrapy.Field()
# 文章标题
contentTitle=scrapy.Field... | {"/sinaSpider/spiders/sinaNewSpider.py": ["/sinaSpider/items.py"]} |
2,968 | lqfGaara/sinaSpider | refs/heads/master | /sinaSpider/pipelines.py | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
class SinaspiderPipeline(object):
def process_item(self, item, spider):
file = item['contentFileUrl'] + str(item["... | {"/sinaSpider/spiders/sinaNewSpider.py": ["/sinaSpider/items.py"]} |
2,976 | mnhampl/alma-slipsomat | refs/heads/master | /slipsomat/__init__.py | __version__ = '0.3.1-new_letter_configuration' # Use bumpversion to update
| {"/slipsomat/configuration_table.py": ["/slipsomat/letter_info.py"]} |
2,977 | mnhampl/alma-slipsomat | refs/heads/master | /slipsomat/configuration_table.py | from __future__ import print_function
import os
import os.path
import re
import time
import sys
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.remote.errorhandler import NoSuch... | {"/slipsomat/configuration_table.py": ["/slipsomat/letter_info.py"]} |
2,978 | mnhampl/alma-slipsomat | refs/heads/master | /slipsomat/letter_info.py | class LetterInfo(object):
"""Interface to "Customize letters" in Alma."""
def __init__(self, name, index, channel):
self.name = name
self.index = index
self.channel = channel
self.unique_name = name + '-' + channel if channel else name
# if channel:
# self.... | {"/slipsomat/configuration_table.py": ["/slipsomat/letter_info.py"]} |
3,003 | abndre/TensaoResidual | refs/heads/master | /P_L_/P_L_PB_1_/read_raw.py | #-------------------------------------------------------------------------------
# Name: module1
# Purpose:
#
# Author: Andrezio
#
# Created: 23/07/2017
# Copyright: (c) Andrezio 2017
# Licence: <your licence>
#-------------------------------------------------------------------------------
file_n... | {"/calc_stress.py": ["/commands.py"]} |
3,004 | abndre/TensaoResidual | refs/heads/master | /calc_stress.py | #import matplotlib.pyplot as plt
#from commands import multi, removerbackground,removekalpha, normalizar, removerzero, background,processing_of_data, lenar_calc, read_file,center_psi, red_file_rigaku,red_files_chimazu
from commands import red_file_rigaku,red_files_chimazu
if __name__ == "__main__":
print('Start'... | {"/calc_stress.py": ["/commands.py"]} |
3,005 | abndre/TensaoResidual | refs/heads/master | /window.py | #-------------------------------------------------------------------------------
# Purpose:
#
# Author: Andre Santos Barros da Silva
#
# Created: 27/07/2018
# Copyright:
# Licence:
#-------------------------------------------------------------------------------
from tkinter import *
root = Tk()
root... | {"/calc_stress.py": ["/commands.py"]} |
3,006 | abndre/TensaoResidual | refs/heads/master | /commands.py | import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import savgol_filter
from lmfit.models import VoigtModel,PseudoVoigtModel, LinearModel
from scipy import stats
def LPM(theta,psi):
radians = np.radians(theta)
radiansby2 = np.radians(theta/2)
radianpsi = np.radians(psi)
cima ... | {"/calc_stress.py": ["/commands.py"]} |
3,020 | Gatszow/CarsScrapper | refs/heads/master | /database.py | import mysql.connector
from secret import password
from scrapper import CarsScrapper
def difference(list1, list2):
list_dif = [i for i in list1 + list2 if i not in list1 or i not in list2]
return list_dif
class DatabaseUpdater(object):
def __init__(self):
self.mydb = mysql.connector.connect(
... | {"/database.py": ["/scrapper.py"], "/scrapper.py": ["/exceptions.py"], "/main.py": ["/database.py"]} |
3,021 | Gatszow/CarsScrapper | refs/heads/master | /scrapper.py | from selenium import webdriver
from exceptions import WrongThingToGetError
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import NoSuchElementException as NSEE, ElementNo... | {"/database.py": ["/scrapper.py"], "/scrapper.py": ["/exceptions.py"], "/main.py": ["/database.py"]} |
3,022 | Gatszow/CarsScrapper | refs/heads/master | /exceptions.py | class TooSmallNumberOfRowError(Exception):
pass
class WrongThingToGetError(Exception):
pass
| {"/database.py": ["/scrapper.py"], "/scrapper.py": ["/exceptions.py"], "/main.py": ["/database.py"]} |
3,023 | Gatszow/CarsScrapper | refs/heads/master | /main.py | from database import DatabaseUpdater
if __name__ == '__main__':
DatabaseUpdate = DatabaseUpdater | {"/database.py": ["/scrapper.py"], "/scrapper.py": ["/exceptions.py"], "/main.py": ["/database.py"]} |
3,030 | RobinHeath-Albuquerque/robin_heath_RPSLS | refs/heads/main | /rpsls.py | import random
from Game import Game, my_rules, my_gestures
from Computer import Computer, computer
from unittest import result
x = input('Please enter your name:')
print('Hello, ' + x + '. Good luck!')
print()
print('Here are the rules:')
for x in my_rules:
print(x)
print()
print('The best of 3 will win the game!'... | {"/rpsls.py": ["/Game.py", "/Computer.py"], "/main.py": ["/Game.py", "/Players.py", "/Lizard.py", "/Spock.py", "/Paper.py", "/Scissors.py"], "/Human.py": ["/Players.py"], "/Computer.py": ["/Players.py", "/Game.py"]} |
3,031 | RobinHeath-Albuquerque/robin_heath_RPSLS | refs/heads/main | /Spock.py | class Spock:
def __init__(self):
self.name = 'Spock'
self.loses_to = ['Lizard', 'Paper']
| {"/rpsls.py": ["/Game.py", "/Computer.py"], "/main.py": ["/Game.py", "/Players.py", "/Lizard.py", "/Spock.py", "/Paper.py", "/Scissors.py"], "/Human.py": ["/Players.py"], "/Computer.py": ["/Players.py", "/Game.py"]} |
3,032 | RobinHeath-Albuquerque/robin_heath_RPSLS | refs/heads/main | /Scissors.py | class Scissors:
def __init__(self):
self.name = 'Scissors'
self.loses_to = ['Rock', 'Spock']
| {"/rpsls.py": ["/Game.py", "/Computer.py"], "/main.py": ["/Game.py", "/Players.py", "/Lizard.py", "/Spock.py", "/Paper.py", "/Scissors.py"], "/Human.py": ["/Players.py"], "/Computer.py": ["/Players.py", "/Game.py"]} |
3,033 | RobinHeath-Albuquerque/robin_heath_RPSLS | refs/heads/main | /Game.py | from random import randrange, random
class Game:
def __init__(self, gestures, rules,):
self.name = ()
self.gestures = my_gestures
self.rules = my_rules
my_gestures = ['rock', 'Spock', 'paper', 'lizard', 'scissors']
my_rules = ['Rock crushes Scissors' 'Scissors cuts Paper', 'Paper cover... | {"/rpsls.py": ["/Game.py", "/Computer.py"], "/main.py": ["/Game.py", "/Players.py", "/Lizard.py", "/Spock.py", "/Paper.py", "/Scissors.py"], "/Human.py": ["/Players.py"], "/Computer.py": ["/Players.py", "/Game.py"]} |
3,034 | RobinHeath-Albuquerque/robin_heath_RPSLS | refs/heads/main | /main.py | import RPSLS
from Game import Game
from Players import Players
from Lizard import Lizard
from Spock import Spock
from Paper import Paper
from Scissors import Scissors
from Rock import Rock
if __name__ == '__main__':
game = Game()
game.run_game()
RPSLS.rpsls("rock")
RPSLS.rpsls("Spock")
RPSLS.rpsls("pape... | {"/rpsls.py": ["/Game.py", "/Computer.py"], "/main.py": ["/Game.py", "/Players.py", "/Lizard.py", "/Spock.py", "/Paper.py", "/Scissors.py"], "/Human.py": ["/Players.py"], "/Computer.py": ["/Players.py", "/Game.py"]} |
3,035 | RobinHeath-Albuquerque/robin_heath_RPSLS | refs/heads/main | /Lizard.py | class Lizard:
def __init__(self):
self.name = 'Lizard'
self.loses_to = ['Rock', 'Scissors']
| {"/rpsls.py": ["/Game.py", "/Computer.py"], "/main.py": ["/Game.py", "/Players.py", "/Lizard.py", "/Spock.py", "/Paper.py", "/Scissors.py"], "/Human.py": ["/Players.py"], "/Computer.py": ["/Players.py", "/Game.py"]} |
3,036 | RobinHeath-Albuquerque/robin_heath_RPSLS | refs/heads/main | /Players.py |
class Players:
def __init__(self, types):
self.choice = ''
self.types = my_players
my_players = ['human', 'computer']
| {"/rpsls.py": ["/Game.py", "/Computer.py"], "/main.py": ["/Game.py", "/Players.py", "/Lizard.py", "/Spock.py", "/Paper.py", "/Scissors.py"], "/Human.py": ["/Players.py"], "/Computer.py": ["/Players.py", "/Game.py"]} |
3,037 | RobinHeath-Albuquerque/robin_heath_RPSLS | refs/heads/main | /Human.py | from Players import Players
class Human(Players):
def make_gesture(self):
print(self.gestures)
playerOne = Human()
playerOne.make_gesture()
playerTwo = Human()
| {"/rpsls.py": ["/Game.py", "/Computer.py"], "/main.py": ["/Game.py", "/Players.py", "/Lizard.py", "/Spock.py", "/Paper.py", "/Scissors.py"], "/Human.py": ["/Players.py"], "/Computer.py": ["/Players.py", "/Game.py"]} |
3,038 | RobinHeath-Albuquerque/robin_heath_RPSLS | refs/heads/main | /Paper.py | class Paper:
def __init__(self):
self.name = 'Paper'
self.loses_to = ['Scissors', 'Lizard']
| {"/rpsls.py": ["/Game.py", "/Computer.py"], "/main.py": ["/Game.py", "/Players.py", "/Lizard.py", "/Spock.py", "/Paper.py", "/Scissors.py"], "/Human.py": ["/Players.py"], "/Computer.py": ["/Players.py", "/Game.py"]} |
3,039 | RobinHeath-Albuquerque/robin_heath_RPSLS | refs/heads/main | /Computer.py | from Players import Players
import random
from Game import Game, my_gestures
class Computer(Players):
def __init__(self, choice):
self.choice = random.choice
def make_gesture(self):
print(self.choice)
computer = Computer
| {"/rpsls.py": ["/Game.py", "/Computer.py"], "/main.py": ["/Game.py", "/Players.py", "/Lizard.py", "/Spock.py", "/Paper.py", "/Scissors.py"], "/Human.py": ["/Players.py"], "/Computer.py": ["/Players.py", "/Game.py"]} |
3,045 | deharahawa/batida-ponto | refs/heads/master | /app/serializer.py | # from marshmallow_jsonapi.flask import Schema
from marshmallow_jsonapi import fields
from marshmallow import ValidationError
from flask_marshmallow import Marshmallow
ma = Marshmallow()
def configure(app):
"""
Factory para poder configurar
"""
ma.init_app(app)
def must_not_be_blank(data):
"""
Valida qu... | {"/app/checks.py": ["/app/serializer.py", "/app/models.py"], "/app/__init__.py": ["/app/models.py", "/app/serializer.py", "/app/users.py", "/app/checks.py"], "/app/users.py": ["/app/serializer.py", "/app/models.py"], "/app/models.py": ["/app/serializer.py"]} |
3,046 | deharahawa/batida-ponto | refs/heads/master | /app/checks.py | from flask import Blueprint, request, jsonify, current_app
from .serializer import PontoSchema
from .models import Ponto, User
from datetime import datetime
from marshmallow import ValidationError
import re
ponto_blueprint = Blueprint('checks', __name__)
def get_horas(dado):
"""
Usa regex para pegar as horas no ... | {"/app/checks.py": ["/app/serializer.py", "/app/models.py"], "/app/__init__.py": ["/app/models.py", "/app/serializer.py", "/app/users.py", "/app/checks.py"], "/app/users.py": ["/app/serializer.py", "/app/models.py"], "/app/models.py": ["/app/serializer.py"]} |
3,047 | deharahawa/batida-ponto | refs/heads/master | /app/__init__.py | from flask import Flask
from flask_migrate import Migrate
from .models import configure as config_db
from .serializer import configure as config_ma
def create_app():
app = Flask(__name__)
# sqlite db uri configuration
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////tmp/users.db'
# remove error from track... | {"/app/checks.py": ["/app/serializer.py", "/app/models.py"], "/app/__init__.py": ["/app/models.py", "/app/serializer.py", "/app/users.py", "/app/checks.py"], "/app/users.py": ["/app/serializer.py", "/app/models.py"], "/app/models.py": ["/app/serializer.py"]} |
3,048 | deharahawa/batida-ponto | refs/heads/master | /app/users.py | from flask import Blueprint, request, jsonify, current_app
from .serializer import UserSchema
from .models import User
from datetime import datetime
user_blueprint = Blueprint('usuarios', __name__)
@user_blueprint.route('/cadastrar', methods=['POST'])
def cadastrar():
"""
Cadastra um user na base
"""
# Insta... | {"/app/checks.py": ["/app/serializer.py", "/app/models.py"], "/app/__init__.py": ["/app/models.py", "/app/serializer.py", "/app/users.py", "/app/checks.py"], "/app/users.py": ["/app/serializer.py", "/app/models.py"], "/app/models.py": ["/app/serializer.py"]} |
3,049 | deharahawa/batida-ponto | refs/heads/master | /app/models.py | from flask_sqlalchemy import SQLAlchemy
from flask_rest_jsonapi import ResourceDetail, ResourceList
from .serializer import UserSchema
db = SQLAlchemy()
def configure(app):
"""
Factory para poder configurar
"""
# Inicializa o app
db.init_app(app)
with app.app_context():
# Cria as alteracoes usando o c... | {"/app/checks.py": ["/app/serializer.py", "/app/models.py"], "/app/__init__.py": ["/app/models.py", "/app/serializer.py", "/app/users.py", "/app/checks.py"], "/app/users.py": ["/app/serializer.py", "/app/models.py"], "/app/models.py": ["/app/serializer.py"]} |
3,058 | raulezama/bookstore | refs/heads/master | /frontend.py | from tkinter import *
import backend
def view_command():
list1.delete(0,END) #se pone antes de que el for entre a la lista para que no se repita la operacion, si se pone despues, la lista se elimina.
for row in backend.view():
list1.insert(END, row) #"""pyinstaller --onefile --windowed frontend.py ... | {"/frontend.py": ["/backend.py"]} |
3,059 | raulezama/bookstore | refs/heads/master | /backend.py | import sqlite3
def connect_db():
conn= sqlite3.connect("books.db")
cur= conn.cursor()
cur.execute("CREATE TABLE IF NOT EXISTS book (id INTEGER PRIMARY KEY, title TEXT, author TEXT, year INTEGER, isbn INTEGER)")
conn.commit()
conn.close()
def insert(title, author, year, isbn):
conn= sqlite3.con... | {"/frontend.py": ["/backend.py"]} |
3,062 | joshharper64/frost | refs/heads/master | /resident_reports/apps.py | from django.apps import AppConfig
class ResidentReportsConfig(AppConfig):
name = 'resident_reports'
| {"/resident_reports/views.py": ["/resident_reports/models.py"], "/resident_reports/admin.py": ["/resident_reports/models.py"]} |
3,063 | joshharper64/frost | refs/heads/master | /resident_reports/migrations/0003_auto_20170517_0033.py | # -*- coding: utf-8 -*-
# Generated by Django 1.11.1 on 2017-05-17 00:33
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('resident_reports', '0002_report'),
]
operations = [
migrations.RemoveField(
... | {"/resident_reports/views.py": ["/resident_reports/models.py"], "/resident_reports/admin.py": ["/resident_reports/models.py"]} |
3,064 | joshharper64/frost | refs/heads/master | /resident_reports/urls.py | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^allreports/$', views.allreports, name='allreports'),
url(r'^new_report/$', views.new_report, name='new_report'),
url(r'^edit_report/(?P<report_id>\d+)/$', views.edit_report, name='edit_report'),
]
| {"/resident_reports/views.py": ["/resident_reports/models.py"], "/resident_reports/admin.py": ["/resident_reports/models.py"]} |
3,065 | joshharper64/frost | refs/heads/master | /resident_reports/views.py | from django.shortcuts import render
from django.http import HttpResponseRedirect
from django.core.urlresolvers import reverse
from django.contrib.auth.decorators import login_required
from django.contrib.auth import get_user_model
from .models import Report
from .forms import ReportForm
def allreports(request):
"... | {"/resident_reports/views.py": ["/resident_reports/models.py"], "/resident_reports/admin.py": ["/resident_reports/models.py"]} |
3,066 | joshharper64/frost | refs/heads/master | /resident_reports/models.py | from django.db import models
from django.contrib.auth.models import User
class Report(models.Model):
""" Report by User """
text = models.TextField()
date_added = models.DateTimeField(auto_now_add=True)
user_name = models.ForeignKey(User)
class Meta:
verbose_name_plural = 'reports'
def... | {"/resident_reports/views.py": ["/resident_reports/models.py"], "/resident_reports/admin.py": ["/resident_reports/models.py"]} |
3,067 | joshharper64/frost | refs/heads/master | /resident_reports/admin.py | from django.contrib import admin
from resident_reports.models import Report
admin.site.register(Report)
| {"/resident_reports/views.py": ["/resident_reports/models.py"], "/resident_reports/admin.py": ["/resident_reports/models.py"]} |
3,068 | joshharper64/frost | refs/heads/master | /homepage/views.py | from django.shortcuts import render
def index(request):
"""Homepage"""
return render(request, 'homepage/index.html')
def about(request):
"""About Section"""
return render(request, 'homepage/about.html')
| {"/resident_reports/views.py": ["/resident_reports/models.py"], "/resident_reports/admin.py": ["/resident_reports/models.py"]} |
3,099 | GitGude/NBA-webscrape | refs/heads/master | /[sample] basketballref - example.py | import requests
from bs4 import BeautifulSoup
import numpy as np
import pandas as pd
import string
import datetime
import time
def player_info():
players = []
base_url = 'http://www.basketball-reference.com/players/'
for letter in string.ascii_lowercase:
page_request = requests.get(base_url + let... | {"/Basketball-Ref - Seasons.Schedule&Resuls - scraper.py": ["/month_loop.py"]} |
3,100 | GitGude/NBA-webscrape | refs/heads/master | /NBA-Stats-Reader.py | import pandas as pd
import csv
import numpy as np
# to find the path of csv files
# import os
# print(os.getcwd())
# out: ../Users/Docs/etc
# print(os.listdir(os.getcwd())
# out: ['Names of csv files]
# Reading content from the csv
# Reading a csv file
df = pd.read_csv('../PythonProjects/NBA_TeamSchedule.csv')
# pr... | {"/Basketball-Ref - Seasons.Schedule&Resuls - scraper.py": ["/month_loop.py"]} |
3,101 | GitGude/NBA-webscrape | refs/heads/master | /Basketball-Ref - Seasons.Schedule&Resuls - scraper.py | import requests
from bs4 import BeautifulSoup
import pandas as pd
import string
import month_loop
# # 2018 Stat urls
# list = {'NBA_2018_games-october.html',
# 'NBA_2018_games-november.html',
# 'NBA_2018_games-december.html',
# 'NBA_2018_games-january.html''
# 'NBA_2018_games-february.h... | {"/Basketball-Ref - Seasons.Schedule&Resuls - scraper.py": ["/month_loop.py"]} |
3,102 | GitGude/NBA-webscrape | refs/heads/master | /Basketball-ref_TeamScore.py | from bs4 import BeautifulSoup
import requests
base_url = 'https://www.basketball-reference.com/leagues/'
Oct_2019 = 'NBA_2019_games-october.html'
Nov_2019 = 'NBA_2019_games-november.html'
Dec_2019 = 'NBA_2019_games-december.html'
Jan_2019 = 'NBA_2019_games-january.html'
Feb_2019 = 'NBA_2019_games-february.html'
Mar_2... | {"/Basketball-Ref - Seasons.Schedule&Resuls - scraper.py": ["/month_loop.py"]} |
3,103 | GitGude/NBA-webscrape | refs/heads/master | /NBAProjekt2.py | import pygsheets
import pandas as pd
gc = pygsheets.authorize(service_account_file='\PythonProjects\venv\NBA Project 1-a1b8594c93d2.json')
df = pd.DataFrame()
df['name'] = ['Kyle', 'Mel', 'Moochie']
sh = gc.open('NBAPython')
wks = sh[0]
wks.set_dataframe(df(1,1))
| {"/Basketball-Ref - Seasons.Schedule&Resuls - scraper.py": ["/month_loop.py"]} |
3,104 | GitGude/NBA-webscrape | refs/heads/master | /month_loop.py | import calendar
# Working...
def get_month():
m = [] #Creating a list to store each month
for month in range(1, 13):
m.append(calendar.month_name[month].lower())
return m
def get_year():
year = []
base_year = 2016
while base_year < 2019:
base_year += 1
year.append... | {"/Basketball-Ref - Seasons.Schedule&Resuls - scraper.py": ["/month_loop.py"]} |
3,105 | nforsch/SSCP19-mechanics-project7 | refs/heads/master | /lhs.py | from pyDOE import *
from scipy.stats.distributions import norm
# Latin Hypercube Sampling
# see: https://pythonhosted.org/pyDOE/randomized.html
# Run LHS for n factors
X = lhs(4, samples=100) # lhs(n, [samples, criterion, iterations])
# Transform factors to normal distributions with means and standard deviations
mea... | {"/compute_displacement_subset.py": ["/demo.py"], "/compute_surface_nodes.py": ["/demo.py"]} |
3,106 | nforsch/SSCP19-mechanics-project7 | refs/heads/master | /demo.py | import os
import numpy as np
import dolfin as df
import pulse
import ldrb
import matplotlib.pyplot as plt
def create_geometry(h5name):
"""
Create an lv-ellipsoidal mesh and fiber fields using LDRB algorithm
An ellipsoid is given by the equation
.. math::
\frac{x^2}{a} + \frac{y^2}{b} + \fra... | {"/compute_displacement_subset.py": ["/demo.py"], "/compute_surface_nodes.py": ["/demo.py"]} |
3,107 | nforsch/SSCP19-mechanics-project7 | refs/heads/master | /compute_displacement_subset.py | import os
import numpy as np
import dolfin as df
import pulse
import ldrb
import matplotlib.pyplot as plt
from scipy import spatial
from demo import load_geometry
pi = np.pi
def cart2prolate( focalLength, XYZ ):
# Convert Cartesian XYZ to Prolate TML
# TML[0] = theta, TML[1] = mu, TML[2] = lambda
X = XYZ... | {"/compute_displacement_subset.py": ["/demo.py"], "/compute_surface_nodes.py": ["/demo.py"]} |
3,108 | nforsch/SSCP19-mechanics-project7 | refs/heads/master | /compute_surface_nodes.py | import dolfin as df
from demo import load_geometry
geometry = load_geometry()
endo_coordinates = []
endo_marker = geometry.markers['ENDO'][0]
# Loop over the facets
for facet in df.facets(geometry.mesh):
# If the facet markers matched that of ENDO
if geometry.ffun[facet] == endo_marker:
# Loop over ... | {"/compute_displacement_subset.py": ["/demo.py"], "/compute_surface_nodes.py": ["/demo.py"]} |
3,109 | nforsch/SSCP19-mechanics-project7 | refs/heads/master | /create_ellipsoid.py | import os
import numpy as np
import dolfin as df
import pulse
import ldrb
def create_geometry(h5name):
"""
Create an lv-ellipsoidal mesh and fiber fields using LDRB algorithm
An ellipsoid is given by the equation
.. math::
\frac{x^2}{a} + \frac{y^2}{b} + \frac{z^2}{c} = 1
We create two... | {"/compute_displacement_subset.py": ["/demo.py"], "/compute_surface_nodes.py": ["/demo.py"]} |
3,110 | nforsch/SSCP19-mechanics-project7 | refs/heads/master | /pca.py | # PCA demo
# Uses PCA from sklearn.decomposition: http://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html
get_ipython().run_line_magic('matplotlib', 'inline')
import matplotlib.pyplot as plt
from sklearn.decomposition import PCA
import numpy as np
import seaborn as sns; sns.set()
# Data
X_tr... | {"/compute_displacement_subset.py": ["/demo.py"], "/compute_surface_nodes.py": ["/demo.py"]} |
3,112 | automation-monkey/Stock-Tracker-App-Test-Framework | refs/heads/main | /utils.py | import json
import requests
class BaseTest:
BASE_URL = 'http://localhost:8080/api/'
@classmethod
def _get_request(cls, url=None, headers=None, params=None):
request_url = '{}'.format(url)
response = requests.get(url=request_url,
headers=headers,
... | {"/tests/test_stock_tracker_app.py": ["/utils.py"]} |
3,113 | automation-monkey/Stock-Tracker-App-Test-Framework | refs/heads/main | /tests/test_stock_tracker_app.py | import json
import pytest
from utils import BaseTest
class TestStockTrackerApp(BaseTest):
VALUATION = {'valuation': float}
USER_PORTFOLIO_EXPECTED = {'AMZN': 1}
# Initiate portfolio with expected test data
@pytest.fixture(autouse=True, scope='session')
def create_user_portfolio(self):
s... | {"/tests/test_stock_tracker_app.py": ["/utils.py"]} |
3,145 | aten2001/CV_assignment_2 | refs/heads/master | /smaller_hough.py | import numpy as np
import skimage.feature
import skimage.color
import matplotlib.pyplot as plt
import scipy.misc
theta_pace_detect_offset = 80
threshold_no_gradient = 0.8
small_factor = 5
min_distance_between_centers = 10 / small_factor
# Hough with smaller vote space
# Does not include use gradient option, be care
... | {"/hough_test.py": ["/detectCircles.py", "/smaller_hough.py"], "/colorQuantizeMain.py": ["/quantizeRGB.py", "/quantizeHSV.py", "/computeQuantizationError.py"]} |
3,146 | aten2001/CV_assignment_2 | refs/heads/master | /quantizeRGB.py | import scipy.cluster.vq
import scipy.misc
import numpy as np
import matplotlib.pyplot as plt
def quantizeRGB(origImg, k):
h,w,d = origImg.shape
processed = np.reshape(origImg, (w*h, d))
processed = np.array(processed, dtype=np.float64)
centroid, labels = scipy.cluster.vq.kmeans2(processed, k)
for i... | {"/hough_test.py": ["/detectCircles.py", "/smaller_hough.py"], "/colorQuantizeMain.py": ["/quantizeRGB.py", "/quantizeHSV.py", "/computeQuantizationError.py"]} |
3,147 | aten2001/CV_assignment_2 | refs/heads/master | /detectCircles.py | import numpy as np
import skimage.feature
import skimage.color
import matplotlib.pyplot as plt
import scipy.misc
min_distance_between_centers = 10
theta_pace_detect_offset = 80
threshold_no_gradient = 25
threshold_gradient = 8
theta_pace_draw = 100
def detectCircles(im, radius, useGradient):
edge = skimage.featu... | {"/hough_test.py": ["/detectCircles.py", "/smaller_hough.py"], "/colorQuantizeMain.py": ["/quantizeRGB.py", "/quantizeHSV.py", "/computeQuantizationError.py"]} |
3,148 | aten2001/CV_assignment_2 | refs/heads/master | /hough_test.py | import scipy.misc
import detectCircles
import matplotlib.pyplot as plt
import smaller_hough
im = scipy.misc.imread('egg.jpg')
radius = 15
use_gradient = 1
centers = detectCircles.detectCircles(im, radius, use_gradient)
print('detect' + str(len(centers)) + ' centers')
xs = []
ys = []
for center in centers:
xs.appen... | {"/hough_test.py": ["/detectCircles.py", "/smaller_hough.py"], "/colorQuantizeMain.py": ["/quantizeRGB.py", "/quantizeHSV.py", "/computeQuantizationError.py"]} |
3,149 | aten2001/CV_assignment_2 | refs/heads/master | /computeQuantizationError.py | import numpy as np
def computeQuantizationError(origImg, quantizedImg):
h, w, d = origImg.shape
sum = 0
sum = np.int64(sum)
for i in range(h):
for j in range(w):
error = (origImg[i, j, 0] - quantizedImg[i, j, 0]) ** 2 + \
(origImg[i, j, 1] - quantizedImg[i, j, 1... | {"/hough_test.py": ["/detectCircles.py", "/smaller_hough.py"], "/colorQuantizeMain.py": ["/quantizeRGB.py", "/quantizeHSV.py", "/computeQuantizationError.py"]} |
3,150 | aten2001/CV_assignment_2 | refs/heads/master | /colorQuantizeMain.py | import scipy
import quantizeRGB
import quantizeHSV
import matplotlib.pyplot as plt
import computeQuantizationError
img = scipy.misc.imread('fish.jpg')
# Begin test k=3
for k in [3, 6, 15]:
rgb_quantized_img, rgb_centroids = quantizeRGB.quantizeRGB(img, k)
hsv_quantized_img, hsv_centroids = quantizeHSV.quantiz... | {"/hough_test.py": ["/detectCircles.py", "/smaller_hough.py"], "/colorQuantizeMain.py": ["/quantizeRGB.py", "/quantizeHSV.py", "/computeQuantizationError.py"]} |
3,151 | aten2001/CV_assignment_2 | refs/heads/master | /quantizeHSV.py | import scipy.cluster.vq
import scipy.misc
import numpy as np
import matplotlib.pyplot as plt
import skimage.color
def quantizeHSV(origImg, k):
origImg = skimage.color.rgb2hsv(origImg)
h,w,d = origImg.shape
processed = np.reshape(origImg, (w*h, d))
processed = np.array(processed[:,0], dtype=np.float64)
... | {"/hough_test.py": ["/detectCircles.py", "/smaller_hough.py"], "/colorQuantizeMain.py": ["/quantizeRGB.py", "/quantizeHSV.py", "/computeQuantizationError.py"]} |
3,154 | mazelife/figgy | refs/heads/master | /storage/admin.py | from django.contrib import admin
from storage.models import Book, Alias, Edition
class InlineAliasAdmin(admin.StackedInline):
model = Alias
extra = 0
class InlineEditionAdmin(admin.StackedInline):
model = Edition
extra = 0
class BookAdmin(admin.ModelAdmin):
inlines = [InlineEditionAdmin, I... | {"/storage/tools.py": ["/storage/exceptions.py"]} |
3,155 | mazelife/figgy | refs/heads/master | /storage/tests/test_models.py | # encoding: utf-8
'''
Copyright (c) 2013 Safari Books Online. All rights reserved.
'''
import uuid
from django.test import TestCase
from storage import models
class TestModels(TestCase):
def setUp(self):
self.book = models.Book.objects.create(pk=str(uuid.uuid4()))
self.edition = models.Edition.o... | {"/storage/tools.py": ["/storage/exceptions.py"]} |
3,156 | mazelife/figgy | refs/heads/master | /storage/exceptions.py | class BadDataFile(Exception):
"""
This exception is raised when a bad data file (XML) is encountered.
"""
| {"/storage/tools.py": ["/storage/exceptions.py"]} |
3,157 | mazelife/figgy | refs/heads/master | /storage/tools.py | # encoding: utf-8
# Created by David Rideout <drideout@safaribooksonline.com> on 2/7/14 4:58 PM
# Copyright (c) 2013 Safari Books Online, LLC. All rights reserved.
from decimal import Decimal, InvalidOperation
from storage.models import Alias, Book, Edition
from storage.exceptions import BadDataFile
def process_boo... | {"/storage/tools.py": ["/storage/exceptions.py"]} |
3,171 | smartgang/KViewer | refs/heads/master | /ChildGraph.py | # -*- coding: utf-8 -*-
import sys
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from Indexer import *
import pyqtgraph as pg
import pandas as pd
class ChildGraph(QWidget):
main_child_plt_changed = pyqtSignal(name='main_child_plt_changed')
def __init__(self, child=True):... | {"/ChildGraph.py": ["/Indexer/__init__.py"], "/complexExample.py": ["/complex2.py"], "/decouple_window.py": ["/nullWindow.py"], "/kviewer_app.py": ["/kviewer2.py", "/indexer.py", "/parameter2.py"], "/Indexer/IndexerWidget.py": ["/Indexer/__init__.py"], "/MainFrame.py": ["/KViewer_new.py"], "/KViewer_new.py": ["/Indexer... |
3,172 | smartgang/KViewer | refs/heads/master | /kviewer1.py | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'kviewer.ui'
#
# Created by: PyQt5 UI code generator 5.6
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.... | {"/ChildGraph.py": ["/Indexer/__init__.py"], "/complexExample.py": ["/complex2.py"], "/decouple_window.py": ["/nullWindow.py"], "/kviewer_app.py": ["/kviewer2.py", "/indexer.py", "/parameter2.py"], "/Indexer/IndexerWidget.py": ["/Indexer/__init__.py"], "/MainFrame.py": ["/KViewer_new.py"], "/KViewer_new.py": ["/Indexer... |
3,173 | smartgang/KViewer | refs/heads/master | /indexer.py | # -*- coding: utf-8 -*-
"""
指标类，用于管理指标相内容：
1.参数，包括参数控件的内容
para_name:参数名列表
para_dic: 参数字典，键为参数名，值为参数值
para_widgets_dic: 参数按键字典， 键为参数名，值为控件名
2.数据
data_dic:数据字典，键为参数名，值为数据
3.画图
plt:主图控件
plt_dic:子图控件字典，键为参数名，值为子图控件
"""
class IndexerBase(object):
color_list = ['w', 'y', 'c', 'r', 'g']
def ... | {"/ChildGraph.py": ["/Indexer/__init__.py"], "/complexExample.py": ["/complex2.py"], "/decouple_window.py": ["/nullWindow.py"], "/kviewer_app.py": ["/kviewer2.py", "/indexer.py", "/parameter2.py"], "/Indexer/IndexerWidget.py": ["/Indexer/__init__.py"], "/MainFrame.py": ["/KViewer_new.py"], "/KViewer_new.py": ["/Indexer... |
3,174 | smartgang/KViewer | refs/heads/master | /complex2.py | # -*- coding: utf-8 -*-
#from PySide import QtCore, QtGui
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.setObjectName("MainWindow")
MainWindow.resize(803, 600)
self.centralwidget = QtWidgets.QWidget(MainWindow)
self... | {"/ChildGraph.py": ["/Indexer/__init__.py"], "/complexExample.py": ["/complex2.py"], "/decouple_window.py": ["/nullWindow.py"], "/kviewer_app.py": ["/kviewer2.py", "/indexer.py", "/parameter2.py"], "/Indexer/IndexerWidget.py": ["/Indexer/__init__.py"], "/MainFrame.py": ["/KViewer_new.py"], "/KViewer_new.py": ["/Indexer... |
3,175 | smartgang/KViewer | refs/heads/master | /complexExample.py | # -*- coding: utf-8 -*-
import complex2
from PyQt5 import QtCore, QtWidgets, QtGui
import sys
import time
import pyqtgraph as pg
import pandas as pd
import tushare as ts
import datetime
from matplotlib.pylab import date2num
class MainWindow(object):
def __init__(self):
app = QtWidgets.QApplication(sys.ar... | {"/ChildGraph.py": ["/Indexer/__init__.py"], "/complexExample.py": ["/complex2.py"], "/decouple_window.py": ["/nullWindow.py"], "/kviewer_app.py": ["/kviewer2.py", "/indexer.py", "/parameter2.py"], "/Indexer/IndexerWidget.py": ["/Indexer/__init__.py"], "/MainFrame.py": ["/KViewer_new.py"], "/KViewer_new.py": ["/Indexer... |
3,176 | smartgang/KViewer | refs/heads/master | /decouple_window.py | # -*- coding: utf-8 -*-
import nullWindow
from PyQt5 import QtCore, QtWidgets, QtGui
if __name__=='__main__':
import sys
app = QtWidgets.QApplication(sys.argv)
MainWindow = QtWidgets.QMainWindow()
ui = nullWindow.Ui_MainWindow()
ui.setupUi(MainWindow)
ui.tableWidget.setItem(0,0,QtWidgets.QTab... | {"/ChildGraph.py": ["/Indexer/__init__.py"], "/complexExample.py": ["/complex2.py"], "/decouple_window.py": ["/nullWindow.py"], "/kviewer_app.py": ["/kviewer2.py", "/indexer.py", "/parameter2.py"], "/Indexer/IndexerWidget.py": ["/Indexer/__init__.py"], "/MainFrame.py": ["/KViewer_new.py"], "/KViewer_new.py": ["/Indexer... |
3,177 | smartgang/KViewer | refs/heads/master | /Indexer/HullRsi.py | # -*- coding: utf-8 -*-
from IndexerBase import IndexerBase
import numpy as np
import talib
class HULL_RSI(IndexerBase):
indexer_name = 'HULL_RSI'
indexer_name_list = ['RSI']
default_para_dic = {
'N1': 5,
'M1': 5,
'M2': 9,
'N': 8
}
def __init__(self, raw_data, plt)... | {"/ChildGraph.py": ["/Indexer/__init__.py"], "/complexExample.py": ["/complex2.py"], "/decouple_window.py": ["/nullWindow.py"], "/kviewer_app.py": ["/kviewer2.py", "/indexer.py", "/parameter2.py"], "/Indexer/IndexerWidget.py": ["/Indexer/__init__.py"], "/MainFrame.py": ["/KViewer_new.py"], "/KViewer_new.py": ["/Indexer... |
3,178 | smartgang/KViewer | refs/heads/master | /Indexer/DMI.py | # -*- coding: utf-8 -*-
from IndexerBase import IndexerBase
import numpy as np
import pandas as pd
class DMI(IndexerBase):
indexer_name = 'DMI'
indexer_name_list = ['PDI', 'MDI', 'ADX', 'ADXR']
default_para_dic = {
'N': 14,
'M': 6,
}
def __init__(self, raw_data, plt):
super... | {"/ChildGraph.py": ["/Indexer/__init__.py"], "/complexExample.py": ["/complex2.py"], "/decouple_window.py": ["/nullWindow.py"], "/kviewer_app.py": ["/kviewer2.py", "/indexer.py", "/parameter2.py"], "/Indexer/IndexerWidget.py": ["/Indexer/__init__.py"], "/MainFrame.py": ["/KViewer_new.py"], "/KViewer_new.py": ["/Indexer... |
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