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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0c9b6c9c5f4b186068f0fcfe5f2c329ce7772e4d | 740 | py | Python | Module 2/Chapter08/template_simple.py | real-slim-chadi/Python_Master-the-Art-of-Design-Patterns | 95ec92272374e330b04d931208abbb184c7c7908 | [
"MIT"
] | 73 | 2016-09-15T23:07:04.000Z | 2022-03-05T15:09:48.000Z | Module 2/Chapter08/template_simple.py | real-slim-chadi/Python_Master-the-Art-of-Design-Patterns | 95ec92272374e330b04d931208abbb184c7c7908 | [
"MIT"
] | null | null | null | Module 2/Chapter08/template_simple.py | real-slim-chadi/Python_Master-the-Art-of-Design-Patterns | 95ec92272374e330b04d931208abbb184c7c7908 | [
"MIT"
] | 51 | 2016-10-07T20:47:51.000Z | 2021-12-22T21:00:24.000Z | __author__ = 'Chetan'
from abc import ABCMeta, abstractmethod
class AbstractClass(metaclass=ABCMeta):
def __init__(self):
pass
@abstractmethod
def operation1(self):
pass
@abstractmethod
def operation2(self):
pass
def template_method(self):
print("Defining the Algorithm. Operation1 follows Operation2")
self.operation2()
self.operation1()
class ConcreteClass(AbstractClass):
def operation1(self):
print("My Concrete Operation1")
def operation2(self):
print("Operation 2 remains same")
class Client:
def main(self):
self.concreate = ConcreteClass()
self.concreate.template_method()
client = Client()
client.main() | 19.473684 | 70 | 0.660811 | 74 | 740 | 6.472973 | 0.445946 | 0.11691 | 0.091858 | 0.104384 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017953 | 0.247297 | 740 | 38 | 71 | 19.473684 | 0.842011 | 0 | 0 | 0.346154 | 0 | 0 | 0.1417 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.269231 | false | 0.115385 | 0.038462 | 0 | 0.423077 | 0.115385 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
0cb6a5d9b64c81ee9b97838a133419cdba2cb50d | 326 | py | Python | benchmark/mysql_benchmark.py | AlonFischer/SpatialDatabaseBench | 1fe933bd4196ba17c687f04c37cb5a34acc6d824 | [
"Apache-2.0"
] | 1 | 2020-11-17T22:56:56.000Z | 2020-11-17T22:56:56.000Z | benchmark/mysql_benchmark.py | AlonFischer/SpatialDatabaseBench | 1fe933bd4196ba17c687f04c37cb5a34acc6d824 | [
"Apache-2.0"
] | null | null | null | benchmark/mysql_benchmark.py | AlonFischer/SpatialDatabaseBench | 1fe933bd4196ba17c687f04c37cb5a34acc6d824 | [
"Apache-2.0"
] | null | null | null | from benchmark.benchmark import Benchmark
from mysqlutils.mysqladapter import MySQLAdapter
class MysqlBenchmark(Benchmark):
"""Abstract parent class for mysql benchmarks"""
def __init__(self, adapter, title, repeat_count=7):
super().__init__(title, repeat_count=repeat_count)
self.adapter = adapter
| 29.636364 | 58 | 0.754601 | 37 | 326 | 6.351351 | 0.567568 | 0.140426 | 0.13617 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003663 | 0.162577 | 326 | 10 | 59 | 32.6 | 0.857143 | 0.128834 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
0cc0715c89b9cf37ccc8268295889e035e429cd7 | 4,118 | py | Python | forms.py | godsgift/gdohs | fc7fa4e010b7c508c3c1154255fa2ded0534fb1d | [
"MIT"
] | null | null | null | forms.py | godsgift/gdohs | fc7fa4e010b7c508c3c1154255fa2ded0534fb1d | [
"MIT"
] | null | null | null | forms.py | godsgift/gdohs | fc7fa4e010b7c508c3c1154255fa2ded0534fb1d | [
"MIT"
] | null | null | null | from flask_wtf import Form
from wtforms import TextField, PasswordField, validators, IntegerField, BooleanField, SelectField, SubmitField
from wtforms.validators import Required, Length, Email, ValidationError, Regexp, EqualTo, NumberRange
from wtforms.widgets import SubmitInput
class SignUp(Form):
username = TextField("Username", validators=[Required("Please provide a username without any spaces"),
Length(min=4, max=20), Regexp(r'^[\w.@+-]+$', message="Please provide a username without any spaces")])
password = PasswordField("Password", validators=[Required("Please pick a secure password"),
Regexp(r'^[\w.@+-]+$', message="Please provide a password without any spaces")])
email = TextField("Email", validators=[Required("Please provide a valid email address"),
Length(min=6, max=35), Email(message="That is not a valid email address"),
Regexp(r'^[\w.@+-]+$', message="Please provide an email without any spaces")])
firstname = TextField("First Name", validators=[Required("Please provide your first name"),
Regexp(r'^[\w.@+-]+$', message="Please enter your first name without any spaces")])
lastname = TextField("Last Name", validators=[Required("Please provide your last name"),
Regexp(r'^[\w.@+-]+$', message="Please enter your last name without any spaces")])
class Login(Form):
username = TextField("Username", validators=[Required("Please provide a username without any spaces"),
Length(min=4, max=20), Regexp(r'^[\w.@+-]+$', message="Please provide a username without any spaces")])
password = PasswordField("Password", validators=[Required("Please pick a secure password"),
Regexp(r'^[\w.@+-]+$', message="Please provide a password without any spaces")])
class ForgotPassword(Form):
email = TextField("Email", validators=[Required("Please provide a valid email address"),
Length(min=6, max=35), Email(message="That is not a valid email address"),
Regexp(r'^[\w.@+-]+$', message="Please provide an email without any spaces")])
class NewPassword(Form):
password = PasswordField("Password", validators=[Required("Please pick a secure password"),
Regexp(r'^[\w.@+-]+$', message="Please provide a password without any spaces")])
confirm_password = PasswordField("Confirm Password", validators=[Required("Required"),
Regexp(r'^[\w.@+-]+$', message="Please provide a password without any spaces"),
EqualTo("password", message="Passwords must match")])
class ChangePassword(Form):
current_password = PasswordField("Current Password", validators=[Required("Please type in your current password"),
Regexp(r'^[\w.@+-]+$', message="Please provide a password without any spaces")])
password = PasswordField("New Password", validators=[Required("Please pick a secure password"),
Regexp(r'^[\w.@+-]+$', message="Please provide a password without any spaces")])
confirm_password = PasswordField("Confirm Password", validators=[Required("Password must match with new password"),
Regexp(r'^[\w.@+-]+$', message="Please provide a password without any spaces"),
EqualTo("password", message="Password must match with new password")])
class CamSettings(Form):
brightness = IntegerField("Brightness", default=50, validators=[Required("Please choose a number between 0 and 100"),
NumberRange(min=0, max=100, message="Please choose a number between 0 and 100")])
resolution = SelectField("Video/Image Resolution: ", choices=[("320x240", "320 x 240"), ("640x480", "640 x 480"),
("800x600", "800 x 600")], default="640x480", validators=[(Required("Required"))])
hflip = BooleanField("Horizontal Flip: ", default=False)
vflip = BooleanField("Vertical Flip: ", default=False)
class Recording(Form):
start = SubmitField("Start Recording")
stop = SubmitField("Stop Recording")
class LicensePlate(Form):
license = TextField("License Plate", validators=[Required("Please provide a license plate without any spaces"),
Length(min=4, max=10), Regexp(r'^[\w.@+-]+$', message="Please provide a license plate without any spaces")])
class ForceLock(Form):
forcelock = SubmitField("Force Lock")
class GarageDoor(Form):
opengarage = SubmitField("Open Garage")
| 52.126582 | 118 | 0.723409 | 513 | 4,118 | 5.79922 | 0.220273 | 0.083025 | 0.091429 | 0.070588 | 0.63563 | 0.622521 | 0.577479 | 0.568067 | 0.49479 | 0.49479 | 0 | 0.019505 | 0.116076 | 4,118 | 78 | 119 | 52.794872 | 0.797802 | 0 | 0 | 0.357143 | 0 | 0 | 0.432492 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.357143 | 0.071429 | 0 | 0.642857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
0cc31eec76a99a4705096b18e21f9ea4dd88bce8 | 523 | py | Python | web/pyshop/admin.py | Andrew7891-kip/Ecommerce-pyshop | 2eaa7b553789b65992cbd80f80a68fcf25ef0efd | [
"Apache-2.0"
] | null | null | null | web/pyshop/admin.py | Andrew7891-kip/Ecommerce-pyshop | 2eaa7b553789b65992cbd80f80a68fcf25ef0efd | [
"Apache-2.0"
] | null | null | null | web/pyshop/admin.py | Andrew7891-kip/Ecommerce-pyshop | 2eaa7b553789b65992cbd80f80a68fcf25ef0efd | [
"Apache-2.0"
] | null | null | null | from django.contrib import admin
from .models import *
class ProductAdmin(admin.ModelAdmin):
list_display=['name','category','price_is']
prepopulated_fields = {"slug": ("name",)}
class CartAdmin(admin.ModelAdmin):
list_display=['item','user','created']
class OrderAdmin(admin.ModelAdmin):
list_display=['user','ordered']
admin.site.register(Product,ProductAdmin)
admin.site.register(Cart,CartAdmin)
admin.site.register(Order,OrderAdmin)
admin.site.register(Checkout)
# Register your models here.
| 20.115385 | 47 | 0.743786 | 62 | 523 | 6.193548 | 0.516129 | 0.09375 | 0.177083 | 0.203125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.108987 | 523 | 25 | 48 | 20.92 | 0.824034 | 0.049713 | 0 | 0 | 0 | 0 | 0.109091 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.153846 | 0 | 0.692308 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
0ccde3d4f64a774d9d8fa84b6c6fe3d0ad69c35d | 3,997 | py | Python | backup/guitemplates/custominvocationcutdurationdialog.py | calebtrahan/KujiIn_Python | 0599d36993fa1d5988a4cf3206a12fdbe63781d8 | [
"MIT"
] | null | null | null | backup/guitemplates/custominvocationcutdurationdialog.py | calebtrahan/KujiIn_Python | 0599d36993fa1d5988a4cf3206a12fdbe63781d8 | [
"MIT"
] | null | null | null | backup/guitemplates/custominvocationcutdurationdialog.py | calebtrahan/KujiIn_Python | 0599d36993fa1d5988a4cf3206a12fdbe63781d8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'custominvocationcutdurationdialog.ui'
#
# Created by: PyQt4 UI code generator 4.11.2
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
try:
_fromUtf8 = QtCore.QString.fromUtf8
except AttributeError:
def _fromUtf8(s):
return s
try:
_encoding = QtGui.QApplication.UnicodeUTF8
def _translate(context, text, disambig):
return QtGui.QApplication.translate(context, text, disambig, _encoding)
except AttributeError:
def _translate(context, text, disambig):
return QtGui.QApplication.translate(context, text, disambig)
class Ui_custominvocationcutdurationdialog(object):
def setupUi(self, custominvocationcutdurationdialog):
custominvocationcutdurationdialog.setObjectName(_fromUtf8("custominvocationcutdurationdialog"))
custominvocationcutdurationdialog.resize(400, 213)
self.custominvocationtopLabel = QtGui.QLabel(custominvocationcutdurationdialog)
self.custominvocationtopLabel.setGeometry(QtCore.QRect(90, 10, 221, 16))
self.custominvocationtopLabel.setObjectName(_fromUtf8("custominvocationtopLabel"))
self.custominvocationcutsLabel = QtGui.QLabel(custominvocationcutdurationdialog)
self.custominvocationcutsLabel.setGeometry(QtCore.QRect(11, 30, 381, 20))
self.custominvocationcutsLabel.setAlignment(QtCore.Qt.AlignCenter)
self.custominvocationcutsLabel.setObjectName(_fromUtf8("custominvocationcutsLabel"))
self.horizontalLayoutWidget = QtGui.QWidget(custominvocationcutdurationdialog)
self.horizontalLayoutWidget.setGeometry(QtCore.QRect(130, 60, 160, 80))
self.horizontalLayoutWidget.setObjectName(_fromUtf8("horizontalLayoutWidget"))
self.custominvocationLayout = QtGui.QHBoxLayout(self.horizontalLayoutWidget)
self.custominvocationLayout.setMargin(0)
self.custominvocationLayout.setObjectName(_fromUtf8("custominvocationLayout"))
self.custominvocationValue = QtGui.QSpinBox(self.horizontalLayoutWidget)
self.custominvocationValue.setObjectName(_fromUtf8("custominvocationValue"))
self.custominvocationLayout.addWidget(self.custominvocationValue)
self.custominvocationminLabel = QtGui.QLabel(self.horizontalLayoutWidget)
self.custominvocationminLabel.setObjectName(_fromUtf8("custominvocationminLabel"))
self.custominvocationLayout.addWidget(self.custominvocationminLabel)
self.custominvocationaddButton = QtGui.QPushButton(custominvocationcutdurationdialog)
self.custominvocationaddButton.setGeometry(QtCore.QRect(160, 170, 131, 30))
self.custominvocationaddButton.setObjectName(_fromUtf8("custominvocationaddButton"))
self.custominvocationcancelButton = QtGui.QPushButton(custominvocationcutdurationdialog)
self.custominvocationcancelButton.setGeometry(QtCore.QRect(300, 170, 84, 30))
self.custominvocationcancelButton.setObjectName(_fromUtf8("custominvocationcancelButton"))
self.retranslateUi(custominvocationcutdurationdialog)
QtCore.QMetaObject.connectSlotsByName(custominvocationcutdurationdialog)
def retranslateUi(self, custominvocationcutdurationdialog):
custominvocationcutdurationdialog.setWindowTitle(_translate("custominvocationcutdurationdialog", "Dialog", None))
self.custominvocationtopLabel.setText(_translate("custominvocationcutdurationdialog", "How Long Would You Like To Invoke:", None))
self.custominvocationcutsLabel.setText(_translate("custominvocationcutdurationdialog", "Cuts Here", None))
self.custominvocationminLabel.setText(_translate("custominvocationcutdurationdialog", "min", None))
self.custominvocationaddButton.setText(_translate("custominvocationcutdurationdialog", "ADD TO SESSION", None))
self.custominvocationcancelButton.setText(_translate("custominvocationcutdurationdialog", "CANCEL", None))
| 60.560606 | 138 | 0.788341 | 305 | 3,997 | 10.259016 | 0.360656 | 0.060403 | 0.035155 | 0.035794 | 0.052413 | 0.052413 | 0.052413 | 0.052413 | 0.052413 | 0.052413 | 0 | 0.021789 | 0.127346 | 3,997 | 65 | 139 | 61.492308 | 0.875287 | 0.051789 | 0 | 0.117647 | 1 | 0 | 0.130619 | 0.111581 | 0 | 0 | 0 | 0 | 0 | 1 | 0.098039 | false | 0 | 0.019608 | 0.058824 | 0.196078 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0cd1d7ce809f4555127103b9f2ebc53cd22fdca6 | 2,885 | py | Python | Curso Python Completo - Udemy/Teste/core/poo1.py | Cauenumo/Python | 6414ee2013c651e9d45cd328a381a476c6c9073b | [
"Apache-2.0"
] | null | null | null | Curso Python Completo - Udemy/Teste/core/poo1.py | Cauenumo/Python | 6414ee2013c651e9d45cd328a381a476c6c9073b | [
"Apache-2.0"
] | null | null | null | Curso Python Completo - Udemy/Teste/core/poo1.py | Cauenumo/Python | 6414ee2013c651e9d45cd328a381a476c6c9073b | [
"Apache-2.0"
] | null | null | null | # class Circle(object):
# pi = 3.14
# # O círculo é instanciado com um raio (o padrão é 1)
# def __init__(self, radius=1):
# self.radius = radius
# # Método de cálculo da área. Observe o uso de si mesmo.
# def area(self):
# return self.radius * self.radius * Circle.pi
# # Método que redefine a área
# def setRadius(self, radius):
# self.radius = radius
# # Método para obter raio (Mesmo que apenas chamar .radius)
# def getRadius(self):
# return self.radius
# c = Circle()
# c.setRadius(3)
# print('O raio é: ',c.getRadius())
# print('A área é: ', c.area())
# l = [1,2,3]
# t = (1,2,3)
# print(type(t))
# def funcao(a,b):
# somei = a + b
# return somei
# print(funcao(1,2))
# print(type(funcao))
# class Dog(object):
# def __init__(self,raça):
# self.raça = raça
# sam = Dog(raça='Labrador')
# frank = Dog(raça = 'Pitbull')
# print(frank.raça)
# class Dog(object):
# species = 'mamifero'
# def __init__(self,raça):
# self.raça = raça
# print(len(self.species))
# def latir(self):
# print("au au")
# sam = Dog(raça = 'Labrador')
# print(sam.latir())
# class Circulo(object):
# pi = 3.14
# def __init__(self, raio = 1):
# self.raio = raio
# def area(self):
# return self.raio ** 2 * self.pi
# def att(self, raio):
# self.raio = raio
# def obtemraio(self):
# return self.raio
# c = Circulo()
# print(c.att(52))
# class Animal(object):
# def __init__(self):
# print('Animal criado.')
# def quemsou(self):
# print('Eu sou um animal')
# def comer(self):
# print('Comendo...')
# class Cachorro(Animal):
# def __init__(self):
# Animal.__init__(self)
# print('Cachorro criado.')
# def quemsou(self):
# print('Sou um cachorro.')
# def latir(self):
# print('Au AU')
# sam = Cachorro()
# print(sam.quemsou())
# print(sam.latir())
# class book():
# def __init__(self,titulo,autor,paginas):
# print('um livro foi criado.')
# self.titulo = titulo
# self.autor = autor
# self.paginas = paginas
# def __str__(self):
# return "Titulo {}".format(self.titulo)
# def __len__(self):
# return self.paginas
# def __del__(self):
# print('livro destruido')
# l = [1,2,3]
# livro1 = book ('Python', 'Cauê', 100)
# class Line(object):
# def __init__(Self,coor1,coor2):
# self.coor1 = coor1
# self.coor2 = coor2
# def distance(self):
# x1,y1 = self.coor1
# x2,y2 = self.coor2
# return ( (x2-x1) ** 2 + (y2-y1) ** 2) ** 0.5
# def slope(self):
# x1,y1 = self.coor1
# x2,y2 = self.coo2
# return float((y2-y1))/(x2-x1)
# coor
| 20.316901 | 64 | 0.533449 | 367 | 2,885 | 4.06267 | 0.269755 | 0.04829 | 0.059021 | 0.034205 | 0.163649 | 0.101945 | 0.101945 | 0.033535 | 0 | 0 | 0 | 0.02887 | 0.30364 | 2,885 | 141 | 65 | 20.460993 | 0.71329 | 0.902946 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0.007092 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0cdb9744480da6f8e1b4899b7fcf04b7238e340b | 1,551 | py | Python | MachineLearning.BayesianNetwork/python-imp/bayes_core.py | JillyMan/decision-tree | 8e2efc914aaade9cc97a2c94052bc909e50fdb48 | [
"MIT"
] | null | null | null | MachineLearning.BayesianNetwork/python-imp/bayes_core.py | JillyMan/decision-tree | 8e2efc914aaade9cc97a2c94052bc909e50fdb48 | [
"MIT"
] | 1 | 2019-12-29T13:49:52.000Z | 2019-12-29T13:49:52.000Z | MachineLearning.BayesianNetwork/python-imp/bayes_core.py | JillyMan/MachineLerningFramework | 8e2efc914aaade9cc97a2c94052bc909e50fdb48 | [
"MIT"
] | null | null | null | import math
RangeType = 'Range'
BinaryType = 'Binary'
class Hipothesis:
def __init__(self, id, name, p):
self.id = id
self.name = name
self.p = p
class Attribute:
def __init__(self, id, name, question, _type):
self.id = id
self.name = name
self.question = question
self.type = _type
class Tag:
def __init__(self, hipothesis, attribute, pp, pm):
self.pp = pp
self.pm = pm
self.attribute = attribute
self.hipothesis = hipothesis
class InputType:
def __init__(self, _type, value):
self.type = _type
self.value = int(value)
class Binary(InputType):
def __init__(self, value):
InputType.__init__(self, BinaryType, value)
class Range(InputType):
def __init__(self, start, end, value):
InputType.__init__(self, RangeType, value)
self.start = int(start)
self.end = int(end)
def normalize(self):
l = self.end - self.start
v = self.value - self.start
return v / l
def phe_func(p, pp, pm):
return (p * pp) / (p * pp + (1-p) * pm)
def calc_probs(pp, pm, p):
phe = phe_func(p, pp, pm)
phne = phe_func(p, 1 - pp, 1 - pm)
return (phe, phne)
def lerp(start, end, t):
return start + (end - start) * t
def interpolate_result_clamp01(phne, ph, phe, r):
if r > 0.5:
return lerp(ph, phe, r)
elif r < 0.5:
return lerp(phne, ph, r)
return ph
def interpolate_result_binary(phne, phe, r):
return phne if r == 0 else phe
| 23.149254 | 54 | 0.588008 | 218 | 1,551 | 3.981651 | 0.215596 | 0.073733 | 0.076037 | 0.069124 | 0.152074 | 0.0553 | 0.0553 | 0 | 0 | 0 | 0 | 0.009132 | 0.294004 | 1,551 | 66 | 55 | 23.5 | 0.783562 | 0 | 0 | 0.115385 | 0 | 0 | 0.007092 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0 | 0.019231 | 0.057692 | 0.519231 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
0cdfbe0659d37b3cc8cc00e18f2f0edb48d21d4a | 3,410 | py | Python | src/scs_airnow/cmd/cmd_csv_join.py | south-coast-science/scs_airnow | 7f0657bd434aa3abe667f58bc971edaa00d0c24c | [
"MIT"
] | null | null | null | src/scs_airnow/cmd/cmd_csv_join.py | south-coast-science/scs_airnow | 7f0657bd434aa3abe667f58bc971edaa00d0c24c | [
"MIT"
] | null | null | null | src/scs_airnow/cmd/cmd_csv_join.py | south-coast-science/scs_airnow | 7f0657bd434aa3abe667f58bc971edaa00d0c24c | [
"MIT"
] | null | null | null | """
Created on 22 Feb 2019
@author: Bruno Beloff (bruno.beloff@southcoastscience.com)
source repo: scs_analysis
"""
import optparse
# --------------------------------------------------------------------------------------------------------------------
class CmdCSVJoin(object):
"""unix command line handler"""
def __init__(self):
"""
Constructor
"""
self.__parser = optparse.OptionParser(usage="%prog [-t TYPE] [-i] [-v] -l PREFIX PK FILENAME "
"-r PREFIX PK FILENAME", version="%prog 1.0")
# compulsory...
self.__parser.add_option("--left", "-l", type="string", nargs=3, action="store", dest="left",
help="output path prefix, primary key and filename for left-hand set")
self.__parser.add_option("--right", "-r", type="string", nargs=3, action="store", dest="right",
help="output path prefix, primary key and filename for right-hand set")
# optional...
self.__parser.add_option("--type", "-t", type="string", nargs=1, action="store", dest="type", default='INNER',
help="{ 'INNER' | 'LEFT' | 'RIGHT' | 'FULL' } (default 'INNER')")
self.__parser.add_option("--iso8601", "-i", action="store_true", dest="iso8601", default=False,
help="interpret the primary key as an ISO 8601 datetime")
self.__parser.add_option("--verbose", "-v", action="store_true", dest="verbose", default=False,
help="report narrative to stderr")
self.__opts, self.__args = self.__parser.parse_args()
# ----------------------------------------------------------------------------------------------------------------
def is_valid(self):
if self.__opts.left is None or self.__opts.right is None:
return False
return True
# ----------------------------------------------------------------------------------------------------------------
@property
def type(self):
return self.__opts.type
@property
def left_prefix(self):
return None if self.__opts.left is None else self.__opts.left[0]
@property
def left_pk(self):
return None if self.__opts.left is None else self.__opts.left[1]
@property
def left_filename(self):
return None if self.__opts.left is None else self.__opts.left[2]
@property
def right_prefix(self):
return None if self.__opts.right is None else self.__opts.right[0]
@property
def right_pk(self):
return None if self.__opts.right is None else self.__opts.right[1]
@property
def right_filename(self):
return None if self.__opts.right is None else self.__opts.right[2]
@property
def iso8601(self):
return self.__opts.iso8601
@property
def verbose(self):
return self.__opts.verbose
# ----------------------------------------------------------------------------------------------------------------
def print_help(self, file):
self.__parser.print_help(file)
def __str__(self, *args, **kwargs):
return "CmdCSVJoin:{type:%s, left:%s, right:%s, iso8601:%s, verbose:%s}" % \
(self.type, self.__opts.left, self.__opts.right, self.iso8601, self.verbose)
| 31.284404 | 118 | 0.509091 | 368 | 3,410 | 4.48913 | 0.269022 | 0.096852 | 0.058111 | 0.058111 | 0.319007 | 0.307506 | 0.2954 | 0.238499 | 0.238499 | 0.18523 | 0 | 0.017503 | 0.246041 | 3,410 | 108 | 119 | 31.574074 | 0.625049 | 0.184751 | 0 | 0.173077 | 0 | 0.038462 | 0.193501 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.019231 | 0.192308 | 0.519231 | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
0ce058cd8a6d65a8bc31474a1e02dc8c29923fe6 | 338 | py | Python | test/receive_message.py | unknown-admin/easymq | e29b8f63402e385059ff8c263b0e7bb8e9fbd24b | [
"Apache-2.0"
] | 1 | 2020-04-20T14:01:34.000Z | 2020-04-20T14:01:34.000Z | test/receive_message.py | unknown-admin/easymq | e29b8f63402e385059ff8c263b0e7bb8e9fbd24b | [
"Apache-2.0"
] | null | null | null | test/receive_message.py | unknown-admin/easymq | e29b8f63402e385059ff8c263b0e7bb8e9fbd24b | [
"Apache-2.0"
] | 1 | 2022-02-18T08:18:08.000Z | 2022-02-18T08:18:08.000Z | import os
from easymq.mq import MQ
def receive(headers, body):
print("---->", body)
mq = MQ(
mq_user=os.environ.get("mq_user"),
password=os.environ.get("password"),
host_and_ports=[
(os.environ.get("host"), os.environ.get("port")),
],
func=receive,
queue_name="/queue/test_queue",
)
mq.receive()
| 16.095238 | 57 | 0.612426 | 47 | 338 | 4.276596 | 0.468085 | 0.179104 | 0.238806 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.195266 | 338 | 20 | 58 | 16.9 | 0.738971 | 0 | 0 | 0 | 0 | 0 | 0.133136 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0.071429 | 0.142857 | 0 | 0.214286 | 0.071429 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
0cf0a226855cb91425b2c33151d95bfc025b95b0 | 624 | py | Python | tests/retrieve/test_segment.py | openghg/openghg | 9a05dd6fe3cee6123898b8f390cfaded08dbb408 | [
"Apache-2.0"
] | 5 | 2021-03-02T09:04:07.000Z | 2022-01-25T09:58:16.000Z | tests/retrieve/test_segment.py | openghg/openghg | 9a05dd6fe3cee6123898b8f390cfaded08dbb408 | [
"Apache-2.0"
] | 229 | 2020-09-30T15:08:39.000Z | 2022-03-31T14:23:55.000Z | tests/retrieve/test_segment.py | openghg/openghg | 9a05dd6fe3cee6123898b8f390cfaded08dbb408 | [
"Apache-2.0"
] | null | null | null | # import os
# import uuid
# import numpy as np
# import pandas as pd
# import pytest
# mocked_uuid = "00000000-0000-1111-00000-000000000000"
# @pytest.fixture(scope="session")
# def data():
# filename = "bsd.picarro.1minute.248m.dat"
# dir_path = os.path.dirname(__file__)
# test_data = "../data/proc_test_data/CRDS"
# filepath = os.path.join(dir_path, test_data, filename)
# return pd.read_csv(filepath, header=None, skiprows=1, sep=r"\s+")
# @pytest.fixture
# def mock_uuid(monkeypatch):
# def mock_uuid():
# return mocked_uuid
# monkeypatch.setattr(uuid, "uuid4", mock_uuid)
| 21.517241 | 71 | 0.674679 | 85 | 624 | 4.764706 | 0.576471 | 0.059259 | 0.054321 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.076321 | 0.18109 | 624 | 28 | 72 | 22.285714 | 0.716243 | 0.924679 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0b3d35d3fa9e0c6688b8c47ccf07458bfaa3bde8 | 231 | py | Python | engine/core/it_singleton.py | torrotitans/torro_community | a3f153e69a860f0d6c831145f529d9e92193a0ae | [
"MIT"
] | 1 | 2022-01-12T08:31:59.000Z | 2022-01-12T08:31:59.000Z | engine/core/it_singleton.py | torrotitans/torro_community | a3f153e69a860f0d6c831145f529d9e92193a0ae | [
"MIT"
] | null | null | null | engine/core/it_singleton.py | torrotitans/torro_community | a3f153e69a860f0d6c831145f529d9e92193a0ae | [
"MIT"
] | 2 | 2022-01-19T06:26:32.000Z | 2022-01-26T15:25:15.000Z | #!/usr/bin/python
# -*- coding: UTF-8 -*
from db.it.db_it_mgr import it_mgr
__all__ = {"itSingleton"}
class itSingleton():
def get_cmd_sql(self, sql):
return it_mgr.get_cmd_sql(sql)
it_singleton = itSingleton()
| 13.588235 | 38 | 0.670996 | 35 | 231 | 4.057143 | 0.6 | 0.105634 | 0.126761 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005319 | 0.186147 | 231 | 16 | 39 | 14.4375 | 0.75 | 0.160173 | 0 | 0 | 0 | 0 | 0.057292 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0.166667 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
0b4a7fb8ebee09432022b77e8750863d12e69e9f | 134 | py | Python | python/pangram.py | emiliot/hackerrank | 7a3081f6b0a33f8402c63b94a6a54728a9adf47e | [
"MIT"
] | null | null | null | python/pangram.py | emiliot/hackerrank | 7a3081f6b0a33f8402c63b94a6a54728a9adf47e | [
"MIT"
] | null | null | null | python/pangram.py | emiliot/hackerrank | 7a3081f6b0a33f8402c63b94a6a54728a9adf47e | [
"MIT"
] | null | null | null | s = input().strip()
res = [c for c in set(s.lower()) if c.isalpha()]
if len(res) == 26:
print("pangram")
else:
print("not pangram")
| 19.142857 | 48 | 0.604478 | 24 | 134 | 3.375 | 0.708333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017857 | 0.164179 | 134 | 6 | 49 | 22.333333 | 0.705357 | 0 | 0 | 0 | 0 | 0 | 0.134328 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0b4afb977af41e7750f169c98501350be4fa6ae6 | 247 | py | Python | app/db/connection.py | melhin/streamchat | 8a3e7ffdcf4bc84045df71259556f4267a755351 | [
"MIT"
] | null | null | null | app/db/connection.py | melhin/streamchat | 8a3e7ffdcf4bc84045df71259556f4267a755351 | [
"MIT"
] | 3 | 2020-09-16T13:30:17.000Z | 2020-09-19T09:56:50.000Z | app/db/connection.py | melhin/streamchat | 8a3e7ffdcf4bc84045df71259556f4267a755351 | [
"MIT"
] | null | null | null | import logging
import aioredis
from app.core.config import REDIS_DSN, REDIS_PASSWORD
logger = logging.getLogger(__name__)
async def get_redis_pool():
return await aioredis.create_redis(REDIS_DSN, encoding='utf-8', password=REDIS_PASSWORD)
| 22.454545 | 92 | 0.805668 | 35 | 247 | 5.371429 | 0.657143 | 0.085106 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004566 | 0.11336 | 247 | 10 | 93 | 24.7 | 0.853881 | 0 | 0 | 0 | 0 | 0 | 0.020243 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.333333 | 0.5 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 |
0b5cea9d906ea2c35bda5ccee23fdca482e7e9b4 | 335 | py | Python | atest/testresources/testlibs/objecttoreturn.py | userzimmermann/robotframework | 7aa16338ce2120cb082605cf548c0794956ec901 | [
"Apache-2.0"
] | 7 | 2015-02-25T10:55:02.000Z | 2015-11-04T03:20:05.000Z | atest/testresources/testlibs/objecttoreturn.py | userzimmermann/robotframework | 7aa16338ce2120cb082605cf548c0794956ec901 | [
"Apache-2.0"
] | 12 | 2015-02-24T17:00:06.000Z | 2015-07-31T08:32:07.000Z | atest/testresources/testlibs/objecttoreturn.py | userzimmermann/robotframework | 7aa16338ce2120cb082605cf548c0794956ec901 | [
"Apache-2.0"
] | 2 | 2015-12-15T11:00:35.000Z | 2018-02-24T18:11:24.000Z | try:
import exceptions
except ImportError: # Python 3
import builtins as exceptions
class ObjectToReturn:
def __init__(self, name):
self.name = name
def __str__(self):
return self.name
def exception(self, name, msg=""):
exception = getattr(exceptions, name)
raise exception(msg)
| 19.705882 | 45 | 0.647761 | 38 | 335 | 5.5 | 0.552632 | 0.15311 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004082 | 0.268657 | 335 | 16 | 46 | 20.9375 | 0.84898 | 0.023881 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0.083333 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
0b61cadfab29026982ee72c19310998fdc907aa6 | 1,312 | py | Python | aio_binance/futures/usdt/api/methods/stream.py | GRinvest/aiobinance | 49ce0bdf955d9fa9363c41eb9cec3da2f121e611 | [
"MIT"
] | 5 | 2022-01-30T19:32:16.000Z | 2022-03-12T15:00:13.000Z | aio_binance/futures/usdt/api/methods/stream.py | GRinvest/aio-binance-library | 49ce0bdf955d9fa9363c41eb9cec3da2f121e611 | [
"MIT"
] | null | null | null | aio_binance/futures/usdt/api/methods/stream.py | GRinvest/aio-binance-library | 49ce0bdf955d9fa9363c41eb9cec3da2f121e611 | [
"MIT"
] | null | null | null |
class DataStream:
async def create_private_listen_key(self) -> dict:
"""**Create a ListenKey (USER_STREAM)**
Notes:
``POST /fapi/v1/listenKey``
See Also:
https://binance-docs.github.io/apidocs/futures/en/#start-user-data-stream-user_stream
"""
return await self._fetch(
'POST',
'create_private_listen_key',
'/fapi/v1/listenKey'
)
async def update_private_listen_key(self) -> dict:
"""**Ping/Keep-alive a ListenKey (USER_STREAM)**
Notes:
``PUT /fapi/v1/listenKey``
See Also:
https://binance-docs.github.io/apidocs/futures/en/#keepalive-user-data-stream-user_stream
"""
return await self._fetch(
'PUT',
'update_private_listen_key',
'/fapi/v1/listenKey'
)
async def delete_private_listen_key(self) -> dict:
"""**Close a ListenKey (USER_STREAM)**
Notes:
``DELETE /fapi/v1/listenKey``
See Also:
https://binance-docs.github.io/apidocs/futures/en/#close-user-data-stream-user_stream
"""
return await self._fetch(
'DELETE',
'delete_private_listen_key',
'/fapi/v1/listenKey'
)
| 29.155556 | 101 | 0.55564 | 142 | 1,312 | 4.943662 | 0.288732 | 0.111111 | 0.136752 | 0.08547 | 0.817664 | 0.608262 | 0.564103 | 0.564103 | 0.452991 | 0.264957 | 0 | 0.006689 | 0.316311 | 1,312 | 44 | 102 | 29.818182 | 0.77592 | 0 | 0 | 0.315789 | 0 | 0 | 0.226115 | 0.119427 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0.210526 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0b71623dce279f8394f45396a0c88a69e51e39e7 | 272 | py | Python | 3d_cnn/src/constants/particles.py | mrmattuschka/DeePiCt | ef3e81ea25705076f340175d97ccff98f8d11799 | [
"Apache-2.0"
] | null | null | null | 3d_cnn/src/constants/particles.py | mrmattuschka/DeePiCt | ef3e81ea25705076f340175d97ccff98f8d11799 | [
"Apache-2.0"
] | 2 | 2022-03-08T09:22:23.000Z | 2022-03-20T21:13:07.000Z | 3d_cnn/src/constants/particles.py | ZauggGroup/DeePiCt | 0bdf1cd845cc306e66e30face1010c12ca3a38d0 | [
"Apache-2.0"
] | null | null | null | from os.path import join
def create_particle_file_name(folder_path: str, img_number: int,
coord_indx: int, ext: str) -> str:
file_name = str(img_number) + 'particle' + str(coord_indx) + '.' + ext
return join(folder_path, file_name)
| 34 | 74 | 0.636029 | 38 | 272 | 4.263158 | 0.5 | 0.148148 | 0.148148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.253676 | 272 | 7 | 75 | 38.857143 | 0.79803 | 0 | 0 | 0 | 0 | 0 | 0.033088 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
0ba8551d5076fefbf31d48a58d0338bdc2763c0b | 181 | py | Python | src/misc/helpers.py | dnmarkon/kaggle_elo_merchant | 92ac552d72234455455c95f53e6091017f048504 | [
"MIT"
] | null | null | null | src/misc/helpers.py | dnmarkon/kaggle_elo_merchant | 92ac552d72234455455c95f53e6091017f048504 | [
"MIT"
] | null | null | null | src/misc/helpers.py | dnmarkon/kaggle_elo_merchant | 92ac552d72234455455c95f53e6091017f048504 | [
"MIT"
] | null | null | null | import pandas as pd
def one_hot(df, column):
df = pd.concat([df, pd.get_dummies(df[column], prefix=column)], axis=1)
df.drop([column], axis=1, inplace=True)
return df
| 22.625 | 75 | 0.662983 | 31 | 181 | 3.806452 | 0.612903 | 0.135593 | 0.186441 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013423 | 0.176796 | 181 | 7 | 76 | 25.857143 | 0.778523 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0baa80eb9ba40c6d66b4f05785427f91545460d9 | 81 | py | Python | Extensions/BabaGUI/config.py | siva-msft/baba-is-auto | 3237b5b70167130558827979bde7dcee14ef39f3 | [
"MIT"
] | 108 | 2019-09-11T06:31:35.000Z | 2022-03-28T13:02:56.000Z | Extensions/BabaGUI/config.py | siva-msft/baba-is-auto | 3237b5b70167130558827979bde7dcee14ef39f3 | [
"MIT"
] | 29 | 2019-09-12T00:28:04.000Z | 2022-02-20T14:56:27.000Z | Extensions/BabaGUI/config.py | utilForever/baba-is-auto | 11937742e25b37b1e27de87fe74d10f09062d6ce | [
"MIT"
] | 14 | 2020-02-24T05:41:43.000Z | 2022-03-28T12:43:34.000Z | import pygame
FPS = 60
BLOCK_SIZE = 48
COLOR_BACKGROUND = pygame.Color(0, 0, 0)
| 13.5 | 40 | 0.728395 | 14 | 81 | 4.071429 | 0.714286 | 0.070175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.104478 | 0.17284 | 81 | 5 | 41 | 16.2 | 0.746269 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0bab9c96a95c9a1b5bf24f9a433d56e2555e1a77 | 392 | py | Python | simulation/strategies/bucketing.py | kantai/hyperbolic-caching | 884c466c311bb5b9fbdd09791d829b04032f3947 | [
"MIT"
] | 15 | 2017-07-13T17:30:01.000Z | 2021-05-18T11:51:13.000Z | simulation/strategies/bucketing.py | kantai/hyperbolic-caching | 884c466c311bb5b9fbdd09791d829b04032f3947 | [
"MIT"
] | null | null | null | simulation/strategies/bucketing.py | kantai/hyperbolic-caching | 884c466c311bb5b9fbdd09791d829b04032f3947 | [
"MIT"
] | 6 | 2017-07-13T21:09:04.000Z | 2021-04-12T15:22:57.000Z | class AveragingBucketUpkeep:
def __init__(self):
self.numer = 0.0
self.denom = 0
def add_cost(self, cost):
self.numer += cost
self.denom += 1
return self.numer / self.denom
def rem_cost(self, cost):
self.numer -= cost
self.denom -= 1
if self.denom == 0:
return 0
return self.numer / self.denom
| 23.058824 | 38 | 0.543367 | 50 | 392 | 4.14 | 0.28 | 0.26087 | 0.096618 | 0.154589 | 0.570048 | 0.338164 | 0.338164 | 0.338164 | 0.338164 | 0 | 0 | 0.027778 | 0.357143 | 392 | 16 | 39 | 24.5 | 0.793651 | 0 | 0 | 0.142857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.214286 | false | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0baf09cfe2bff0d7d8fbadcb0dcd9e76b3f75e76 | 284 | py | Python | venv/lib/python3.8/site-packages/crispy_forms/templates/uni_form/uni_form.html.py | Solurix/Flashcards-Django | 03c863f6722936093927785a2b20b6b668bb743d | [
"MIT"
] | 1 | 2021-05-16T03:20:23.000Z | 2021-05-16T03:20:23.000Z | venv/lib/python3.8/site-packages/crispy_forms/templates/uni_form/uni_form.html.py | Solurix/Flashcards-Django | 03c863f6722936093927785a2b20b6b668bb743d | [
"MIT"
] | 4 | 2021-03-30T14:06:09.000Z | 2021-09-22T19:26:31.000Z | venv/lib/python3.8/site-packages/crispy_forms/templates/uni_form/uni_form.html.py | Solurix/Flashcards-Django | 03c863f6722936093927785a2b20b6b668bb743d | [
"MIT"
] | null | null | null | BB BBBBBBBBBBBBBBBBBB
BB BBBBBBBBBBBBBBBB
BBBBBBB BBBBBBBBBBBBBBBBBBBBBB
BBBBB
BB BBBBBBBBBB BB BB BB BBBBBBBBBB
XXXXXXXXX XXXXXXXXX
XXXXXXXXXXXXXXXXX
BBBBB
BBB BBBBB BB BBBB
BBBBBBB BBBBBBBBBBBBBB
BBBBBB
BB BBBBBBBBBB BB BB BB BBBBBBBBBB
XXXXXXXXXXX
BBBBB
| 15.777778 | 34 | 0.792254 | 32 | 284 | 7.03125 | 0.4375 | 0.213333 | 0.124444 | 0.142222 | 0.248889 | 0.248889 | 0 | 0 | 0 | 0 | 0 | 0 | 0.207746 | 284 | 17 | 35 | 16.705882 | 1 | 0 | 0 | 0.357143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0bb89e9bc4b11618566c516b525db418c9d0a1b7 | 742 | py | Python | 079_039_189/ngram_2/get_10_summary.py | Aditya-AS/Question-Answering-System | 22c3fe549c03a3b5ba1f86befef3c9f91278d3fc | [
"MIT"
] | null | null | null | 079_039_189/ngram_2/get_10_summary.py | Aditya-AS/Question-Answering-System | 22c3fe549c03a3b5ba1f86befef3c9f91278d3fc | [
"MIT"
] | null | null | null | 079_039_189/ngram_2/get_10_summary.py | Aditya-AS/Question-Answering-System | 22c3fe549c03a3b5ba1f86befef3c9f91278d3fc | [
"MIT"
] | null | null | null | """
Sanjay Reddy S-2013A7PS189P
Aditya Sarma -2013A7PS079P
Vamsi T -2013A7PS039P
Artificial Intelligence Term Project
"""
import pickle
import BeautifulSoup
import re
import boto
from boto.s3.connection import S3Connection
from boto.s3.key import Key
from google import search
def get_10_summary(query, source="google"):
"""
This function returns the first ten (or less, if 10 are not present) summaries when the query (a string) is run on the source (here google).
The return type is a beautifulSoup module's object and is similar to a list
"""
result = search(query) #calls query on google
#print "---------------------------" + str(type(results)) + "---------------------------"
return result
| 25.586207 | 144 | 0.669811 | 99 | 742 | 5 | 0.656566 | 0.032323 | 0.040404 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.051581 | 0.190027 | 742 | 28 | 145 | 26.5 | 0.772047 | 0.603774 | 0 | 0 | 0 | 0 | 0.022642 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.7 | 0 | 0.9 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
0bba1e28f68dedeccae5371afea0ac4ab68e2473 | 68,549 | py | Python | tests/examples/minlplib/waterno2_03.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | 2 | 2021-07-03T13:19:10.000Z | 2022-02-06T10:48:13.000Z | tests/examples/minlplib/waterno2_03.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | 1 | 2021-07-04T14:52:14.000Z | 2021-07-15T10:17:11.000Z | tests/examples/minlplib/waterno2_03.py | ouyang-w-19/decogo | 52546480e49776251d4d27856e18a46f40c824a1 | [
"MIT"
] | null | null | null | # MINLP written by GAMS Convert at 04/21/18 13:55:18
#
# Equation counts
# Total E G L N X C B
# 617 367 103 147 0 0 0 0
#
# Variable counts
# x b i s1s s2s sc si
# Total cont binary integer sos1 sos2 scont sint
# 499 472 27 0 0 0 0 0
# FX 6 6 0 0 0 0 0 0
#
# Nonzero counts
# Total const NL DLL
# 1636 1333 303 0
#
# Reformulation has removed 1 variable and 1 equation
from pyomo.environ import *
model = m = ConcreteModel()
m.b2 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b3 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b4 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b5 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b6 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b7 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b8 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b9 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b10 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b11 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b12 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b13 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b14 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b15 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b16 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b17 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b18 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b19 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b20 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b21 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b22 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b23 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b24 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b25 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b26 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b27 = Var(within=Binary,bounds=(0,1),initialize=0)
m.b28 = Var(within=Binary,bounds=(0,1),initialize=0)
m.x29 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x30 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x31 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x32 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x33 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x34 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x35 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x36 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x37 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x38 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x39 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x40 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x41 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x42 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x43 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x44 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x45 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x46 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x47 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x48 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x49 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x50 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x51 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x52 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x53 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x54 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x55 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x56 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x57 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x58 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x59 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x60 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x61 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x62 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x63 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x64 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x65 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x66 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x67 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x68 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x69 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x70 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x71 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x72 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x73 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x74 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x75 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x76 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x77 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x78 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x79 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x80 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x81 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x82 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x83 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x84 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x85 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x86 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x87 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x88 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x89 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x90 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x91 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x92 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x93 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x94 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x95 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x96 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x97 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x98 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x99 = Var(within=Reals,bounds=(0,2.4),initialize=0)
m.x100 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x101 = Var(within=Reals,bounds=(0,2.4),initialize=0)
m.x102 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x103 = Var(within=Reals,bounds=(0,2.4),initialize=0)
m.x104 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x105 = Var(within=Reals,bounds=(0,2.4),initialize=0)
m.x106 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x107 = Var(within=Reals,bounds=(0,2.4),initialize=0)
m.x108 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x109 = Var(within=Reals,bounds=(0,2.4),initialize=0)
m.x110 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x111 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x112 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x113 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x114 = Var(within=Reals,bounds=(0,1.16),initialize=0)
m.x115 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x116 = Var(within=Reals,bounds=(0,1.16),initialize=0)
m.x117 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x118 = Var(within=Reals,bounds=(0,1.16),initialize=0)
m.x119 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x120 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x121 = Var(within=Reals,bounds=(0,5),initialize=0)
m.x122 = Var(within=Reals,bounds=(3.5,3.5),initialize=3.5)
m.x123 = Var(within=Reals,bounds=(2,5),initialize=2)
m.x124 = Var(within=Reals,bounds=(2,5),initialize=2)
m.x125 = Var(within=Reals,bounds=(2,5),initialize=2)
m.x126 = Var(within=Reals,bounds=(2,5),initialize=2)
m.x127 = Var(within=Reals,bounds=(2,5),initialize=2)
m.x128 = Var(within=Reals,bounds=(4.1,4.1),initialize=4.1)
m.x129 = Var(within=Reals,bounds=(2.5,5),initialize=2.5)
m.x130 = Var(within=Reals,bounds=(2.5,5),initialize=2.5)
m.x131 = Var(within=Reals,bounds=(2.5,5),initialize=2.5)
m.x132 = Var(within=Reals,bounds=(2.5,5),initialize=2.5)
m.x133 = Var(within=Reals,bounds=(2.5,5),initialize=2.5)
m.x134 = Var(within=Reals,bounds=(4,4),initialize=4)
m.x135 = Var(within=Reals,bounds=(2,6),initialize=2)
m.x136 = Var(within=Reals,bounds=(2,6),initialize=2)
m.x137 = Var(within=Reals,bounds=(2,6),initialize=2)
m.x138 = Var(within=Reals,bounds=(2,6),initialize=2)
m.x139 = Var(within=Reals,bounds=(2,6),initialize=2)
m.x140 = Var(within=Reals,bounds=(0,0.8),initialize=0)
m.x141 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x142 = Var(within=Reals,bounds=(0,0.8),initialize=0)
m.x143 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x144 = Var(within=Reals,bounds=(0,0.8),initialize=0)
m.x145 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x146 = Var(within=Reals,bounds=(0,0.8),initialize=0)
m.x147 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x148 = Var(within=Reals,bounds=(0,0.8),initialize=0)
m.x149 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x150 = Var(within=Reals,bounds=(0,0.8),initialize=0)
m.x151 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x152 = Var(within=Reals,bounds=(0,0.8),initialize=0)
m.x153 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x154 = Var(within=Reals,bounds=(0,0.8),initialize=0)
m.x155 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x156 = Var(within=Reals,bounds=(0,0.8),initialize=0)
m.x157 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x158 = Var(within=Reals,bounds=(0,0.5),initialize=0)
m.x159 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x160 = Var(within=Reals,bounds=(0,0.5),initialize=0)
m.x161 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x162 = Var(within=Reals,bounds=(0,0.5),initialize=0)
m.x163 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x164 = Var(within=Reals,bounds=(0,0.5),initialize=0)
m.x165 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x166 = Var(within=Reals,bounds=(0,0.5),initialize=0)
m.x167 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x168 = Var(within=Reals,bounds=(0,0.5),initialize=0)
m.x169 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x170 = Var(within=Reals,bounds=(0,0.7),initialize=0)
m.x171 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x172 = Var(within=Reals,bounds=(0,0.7),initialize=0)
m.x173 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x174 = Var(within=Reals,bounds=(0,0.7),initialize=0)
m.x175 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x176 = Var(within=Reals,bounds=(0,0.7),initialize=0)
m.x177 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x178 = Var(within=Reals,bounds=(0,0.7),initialize=0)
m.x179 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x180 = Var(within=Reals,bounds=(0,0.7),initialize=0)
m.x181 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x182 = Var(within=Reals,bounds=(0,0.58),initialize=0)
m.x183 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x184 = Var(within=Reals,bounds=(0,0.58),initialize=0)
m.x185 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x186 = Var(within=Reals,bounds=(0,0.58),initialize=0)
m.x187 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x188 = Var(within=Reals,bounds=(0,0.58),initialize=0)
m.x189 = Var(within=Reals,bounds=(-1000,1000),initialize=0)
m.x190 = Var(within=Reals,bounds=(0,0.58),initialize=0)
m.x191 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x192 = Var(within=Reals,bounds=(0,0.58),initialize=0)
m.x193 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x194 = Var(within=Reals,bounds=(62,65),initialize=62)
m.x195 = Var(within=Reals,bounds=(62,65),initialize=62)
m.x196 = Var(within=Reals,bounds=(62,65),initialize=62)
m.x197 = Var(within=Reals,bounds=(92.5,95),initialize=92.5)
m.x198 = Var(within=Reals,bounds=(92.5,95),initialize=92.5)
m.x199 = Var(within=Reals,bounds=(92.5,95),initialize=92.5)
m.x200 = Var(within=Reals,bounds=(105,109),initialize=105)
m.x201 = Var(within=Reals,bounds=(105,109),initialize=105)
m.x202 = Var(within=Reals,bounds=(105,109),initialize=105)
m.x203 = Var(within=Reals,bounds=(0,1000),initialize=0)
m.x204 = Var(within=Reals,bounds=(-125,125),initialize=0)
m.x205 = Var(within=Reals,bounds=(0,1000),initialize=0)
m.x206 = Var(within=Reals,bounds=(-125,125),initialize=0)
m.x207 = Var(within=Reals,bounds=(0,1000),initialize=0)
m.x208 = Var(within=Reals,bounds=(-125,125),initialize=0)
m.x209 = Var(within=Reals,bounds=(0,1000),initialize=0)
m.x210 = Var(within=Reals,bounds=(0,1000),initialize=0)
m.x211 = Var(within=Reals,bounds=(-100,100),initialize=0)
m.x212 = Var(within=Reals,bounds=(0,1000),initialize=0)
m.x213 = Var(within=Reals,bounds=(0,1000),initialize=0)
m.x214 = Var(within=Reals,bounds=(-100,100),initialize=0)
m.x215 = Var(within=Reals,bounds=(0,1000),initialize=0)
m.x216 = Var(within=Reals,bounds=(0,1000),initialize=0)
m.x217 = Var(within=Reals,bounds=(-100,100),initialize=0)
m.x218 = Var(within=Reals,bounds=(0,1000),initialize=0)
m.x219 = Var(within=Reals,bounds=(-125,125),initialize=0)
m.x220 = Var(within=Reals,bounds=(0,1000),initialize=0)
m.x221 = Var(within=Reals,bounds=(-125,125),initialize=0)
m.x222 = Var(within=Reals,bounds=(0,1000),initialize=0)
m.x223 = Var(within=Reals,bounds=(-125,125),initialize=0)
m.x224 = Var(within=Reals,bounds=(49,49),initialize=49)
m.x225 = Var(within=Reals,bounds=(-49,1000),initialize=0)
m.x226 = Var(within=Reals,bounds=(49,49),initialize=49)
m.x227 = Var(within=Reals,bounds=(-49,1000),initialize=0)
m.x228 = Var(within=Reals,bounds=(49,49),initialize=49)
m.x229 = Var(within=Reals,bounds=(-49,1000),initialize=0)
m.x230 = Var(within=Reals,bounds=(-65,1000),initialize=0)
m.x231 = Var(within=Reals,bounds=(-65,1000),initialize=0)
m.x232 = Var(within=Reals,bounds=(-65,1000),initialize=0)
m.x233 = Var(within=Reals,bounds=(-95,1000),initialize=0)
m.x234 = Var(within=Reals,bounds=(-95,1000),initialize=0)
m.x235 = Var(within=Reals,bounds=(-95,1000),initialize=0)
m.x236 = Var(within=Reals,bounds=(0.2,0.8),initialize=0.2)
m.x237 = Var(within=Reals,bounds=(0.2,0.8),initialize=0.2)
m.x238 = Var(within=Reals,bounds=(0.2,0.8),initialize=0.2)
m.x239 = Var(within=Reals,bounds=(0.2,0.8),initialize=0.2)
m.x240 = Var(within=Reals,bounds=(0.2,0.8),initialize=0.2)
m.x241 = Var(within=Reals,bounds=(0.2,0.8),initialize=0.2)
m.x242 = Var(within=Reals,bounds=(0.2,0.8),initialize=0.2)
m.x243 = Var(within=Reals,bounds=(0.2,0.8),initialize=0.2)
m.x244 = Var(within=Reals,bounds=(0.2,0.8),initialize=0.2)
m.x245 = Var(within=Reals,bounds=(0.25,0.5),initialize=0.25)
m.x246 = Var(within=Reals,bounds=(0.25,0.5),initialize=0.25)
m.x247 = Var(within=Reals,bounds=(0.25,0.5),initialize=0.25)
m.x248 = Var(within=Reals,bounds=(0.25,0.5),initialize=0.25)
m.x249 = Var(within=Reals,bounds=(0.25,0.5),initialize=0.25)
m.x250 = Var(within=Reals,bounds=(0.25,0.5),initialize=0.25)
m.x251 = Var(within=Reals,bounds=(0.4,0.7),initialize=0.4)
m.x252 = Var(within=Reals,bounds=(0.4,0.7),initialize=0.4)
m.x253 = Var(within=Reals,bounds=(0.4,0.7),initialize=0.4)
m.x254 = Var(within=Reals,bounds=(0.4,0.7),initialize=0.4)
m.x255 = Var(within=Reals,bounds=(0.4,0.7),initialize=0.4)
m.x256 = Var(within=Reals,bounds=(0.4,0.7),initialize=0.4)
m.x257 = Var(within=Reals,bounds=(0.24,0.58),initialize=0.24)
m.x258 = Var(within=Reals,bounds=(0.24,0.58),initialize=0.24)
m.x259 = Var(within=Reals,bounds=(0.24,0.58),initialize=0.24)
m.x260 = Var(within=Reals,bounds=(0.24,0.58),initialize=0.24)
m.x261 = Var(within=Reals,bounds=(0.24,0.58),initialize=0.24)
m.x262 = Var(within=Reals,bounds=(0.24,0.58),initialize=0.24)
m.x263 = Var(within=Reals,bounds=(0.6,1),initialize=0.6)
m.x264 = Var(within=Reals,bounds=(0.6,1),initialize=0.6)
m.x265 = Var(within=Reals,bounds=(0.6,1),initialize=0.6)
m.x266 = Var(within=Reals,bounds=(0.8,1),initialize=0.8)
m.x267 = Var(within=Reals,bounds=(0.8,1),initialize=0.8)
m.x268 = Var(within=Reals,bounds=(0.8,1),initialize=0.8)
m.x269 = Var(within=Reals,bounds=(0.85,1),initialize=0.85)
m.x270 = Var(within=Reals,bounds=(0.85,1),initialize=0.85)
m.x271 = Var(within=Reals,bounds=(0.85,1),initialize=0.85)
m.x272 = Var(within=Reals,bounds=(0.7,1),initialize=0.7)
m.x273 = Var(within=Reals,bounds=(0.7,1),initialize=0.7)
m.x274 = Var(within=Reals,bounds=(0.7,1),initialize=0.7)
m.x275 = Var(within=Reals,bounds=(100,1000),initialize=100)
m.x276 = Var(within=Reals,bounds=(100,1000),initialize=100)
m.x277 = Var(within=Reals,bounds=(100,1000),initialize=100)
m.x278 = Var(within=Reals,bounds=(0,54.1717996137183),initialize=0)
m.x279 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x280 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x281 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x282 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x283 = Var(within=Reals,bounds=(0,54.1717996137183),initialize=0)
m.x284 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x285 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x286 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x287 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x288 = Var(within=Reals,bounds=(0,54.1717996137183),initialize=0)
m.x289 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x290 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x291 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x292 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x293 = Var(within=Reals,bounds=(0,54.1717996137183),initialize=0)
m.x294 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x295 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x296 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x297 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x298 = Var(within=Reals,bounds=(0,54.1717996137183),initialize=0)
m.x299 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x300 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x301 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x302 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x303 = Var(within=Reals,bounds=(0,54.1717996137183),initialize=0)
m.x304 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x305 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x306 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x307 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x308 = Var(within=Reals,bounds=(0,54.1717996137183),initialize=0)
m.x309 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x310 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x311 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x312 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x313 = Var(within=Reals,bounds=(0,54.1717996137183),initialize=0)
m.x314 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x315 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x316 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x317 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x318 = Var(within=Reals,bounds=(0,54.1717996137183),initialize=0)
m.x319 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x320 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x321 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x322 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x323 = Var(within=Reals,bounds=(0,93.045051789432),initialize=0)
m.x324 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x325 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x326 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x327 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x328 = Var(within=Reals,bounds=(0,93.045051789432),initialize=0)
m.x329 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x330 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x331 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x332 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x333 = Var(within=Reals,bounds=(0,93.045051789432),initialize=0)
m.x334 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x335 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x336 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x337 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x338 = Var(within=Reals,bounds=(0,93.045051789432),initialize=0)
m.x339 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x340 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x341 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x342 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x343 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x344 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x345 = Var(within=Reals,bounds=(0,93.045051789432),initialize=0)
m.x346 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x347 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x348 = Var(within=Reals,bounds=(0,93.045051789432),initialize=0)
m.x349 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x350 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x351 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x352 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x353 = Var(within=Reals,bounds=(0,112.384987749469),initialize=0)
m.x354 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x355 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x356 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x357 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x358 = Var(within=Reals,bounds=(0,112.384987749469),initialize=0)
m.x359 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x360 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x361 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x362 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x363 = Var(within=Reals,bounds=(0,112.384987749469),initialize=0)
m.x364 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x365 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x366 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x367 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x368 = Var(within=Reals,bounds=(0,112.384987749469),initialize=0)
m.x369 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x370 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x371 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x372 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x373 = Var(within=Reals,bounds=(0,112.384987749469),initialize=0)
m.x374 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x375 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x376 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x377 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x378 = Var(within=Reals,bounds=(0,112.384987749469),initialize=0)
m.x379 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x380 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x381 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x382 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x383 = Var(within=Reals,bounds=(0,42.066542469172),initialize=0)
m.x384 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x385 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x386 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x387 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x388 = Var(within=Reals,bounds=(0,42.066542469172),initialize=0)
m.x389 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x390 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x391 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x392 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x393 = Var(within=Reals,bounds=(0,42.066542469172),initialize=0)
m.x394 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x395 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x396 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x397 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x398 = Var(within=Reals,bounds=(0,42.066542469172),initialize=0)
m.x399 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x400 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x401 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x402 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x403 = Var(within=Reals,bounds=(0,42.066542469172),initialize=0)
m.x404 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x405 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x406 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x407 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x408 = Var(within=Reals,bounds=(0,42.066542469172),initialize=0)
m.x409 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x410 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x411 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x412 = Var(within=Reals,bounds=(None,None),initialize=0)
m.x413 = Var(within=Reals,bounds=(0,25),initialize=0)
m.x414 = Var(within=Reals,bounds=(0,25),initialize=0)
m.x415 = Var(within=Reals,bounds=(0,25),initialize=0)
m.x416 = Var(within=Reals,bounds=(0,25),initialize=0)
m.x417 = Var(within=Reals,bounds=(0,25),initialize=0)
m.x418 = Var(within=Reals,bounds=(0,25),initialize=0)
m.x419 = Var(within=Reals,bounds=(0,25),initialize=0)
m.x420 = Var(within=Reals,bounds=(0,25),initialize=0)
m.x421 = Var(within=Reals,bounds=(0,25),initialize=0)
m.x422 = Var(within=Reals,bounds=(0,0.64),initialize=0)
m.x423 = Var(within=Reals,bounds=(0,0.512),initialize=0)
m.x424 = Var(within=Reals,bounds=(0,0.64),initialize=0)
m.x425 = Var(within=Reals,bounds=(0,0.512),initialize=0)
m.x426 = Var(within=Reals,bounds=(0,0.64),initialize=0)
m.x427 = Var(within=Reals,bounds=(0,0.512),initialize=0)
m.x428 = Var(within=Reals,bounds=(0,0.64),initialize=0)
m.x429 = Var(within=Reals,bounds=(0,0.512),initialize=0)
m.x430 = Var(within=Reals,bounds=(0,0.64),initialize=0)
m.x431 = Var(within=Reals,bounds=(0,0.512),initialize=0)
m.x432 = Var(within=Reals,bounds=(0,0.64),initialize=0)
m.x433 = Var(within=Reals,bounds=(0,0.512),initialize=0)
m.x434 = Var(within=Reals,bounds=(0,0.64),initialize=0)
m.x435 = Var(within=Reals,bounds=(0,0.512),initialize=0)
m.x436 = Var(within=Reals,bounds=(0,0.64),initialize=0)
m.x437 = Var(within=Reals,bounds=(0,0.512),initialize=0)
m.x438 = Var(within=Reals,bounds=(0,0.64),initialize=0)
m.x439 = Var(within=Reals,bounds=(0,0.512),initialize=0)
m.x440 = Var(within=Reals,bounds=(0,0.25),initialize=0)
m.x441 = Var(within=Reals,bounds=(0,0.125),initialize=0)
m.x442 = Var(within=Reals,bounds=(0,0.25),initialize=0)
m.x443 = Var(within=Reals,bounds=(0,0.125),initialize=0)
m.x444 = Var(within=Reals,bounds=(0,0.25),initialize=0)
m.x445 = Var(within=Reals,bounds=(0,0.125),initialize=0)
m.x446 = Var(within=Reals,bounds=(0,0.25),initialize=0)
m.x447 = Var(within=Reals,bounds=(0,0.125),initialize=0)
m.x448 = Var(within=Reals,bounds=(0,0.25),initialize=0)
m.x449 = Var(within=Reals,bounds=(0,0.125),initialize=0)
m.x450 = Var(within=Reals,bounds=(0,0.25),initialize=0)
m.x451 = Var(within=Reals,bounds=(0,0.125),initialize=0)
m.x452 = Var(within=Reals,bounds=(0,0.49),initialize=0)
m.x453 = Var(within=Reals,bounds=(0,0.343),initialize=0)
m.x454 = Var(within=Reals,bounds=(0,0.49),initialize=0)
m.x455 = Var(within=Reals,bounds=(0,0.343),initialize=0)
m.x456 = Var(within=Reals,bounds=(0,0.49),initialize=0)
m.x457 = Var(within=Reals,bounds=(0,0.343),initialize=0)
m.x458 = Var(within=Reals,bounds=(0,0.49),initialize=0)
m.x459 = Var(within=Reals,bounds=(0,0.343),initialize=0)
m.x460 = Var(within=Reals,bounds=(0,0.49),initialize=0)
m.x461 = Var(within=Reals,bounds=(0,0.343),initialize=0)
m.x462 = Var(within=Reals,bounds=(0,0.49),initialize=0)
m.x463 = Var(within=Reals,bounds=(0,0.343),initialize=0)
m.x464 = Var(within=Reals,bounds=(0,0.3364),initialize=0)
m.x465 = Var(within=Reals,bounds=(0,0.195112),initialize=0)
m.x466 = Var(within=Reals,bounds=(0,0.3364),initialize=0)
m.x467 = Var(within=Reals,bounds=(0,0.195112),initialize=0)
m.x468 = Var(within=Reals,bounds=(0,0.3364),initialize=0)
m.x469 = Var(within=Reals,bounds=(0,0.195112),initialize=0)
m.x470 = Var(within=Reals,bounds=(0,0.3364),initialize=0)
m.x471 = Var(within=Reals,bounds=(0,0.195112),initialize=0)
m.x472 = Var(within=Reals,bounds=(0,0.3364),initialize=0)
m.x473 = Var(within=Reals,bounds=(0,0.195112),initialize=0)
m.x474 = Var(within=Reals,bounds=(0,0.3364),initialize=0)
m.x475 = Var(within=Reals,bounds=(0,0.195112),initialize=0)
m.x476 = Var(within=Reals,bounds=(0.36,1),initialize=0.36)
m.x477 = Var(within=Reals,bounds=(0.216,1),initialize=0.216)
m.x478 = Var(within=Reals,bounds=(0.36,1),initialize=0.36)
m.x479 = Var(within=Reals,bounds=(0.216,1),initialize=0.216)
m.x480 = Var(within=Reals,bounds=(0.36,1),initialize=0.36)
m.x481 = Var(within=Reals,bounds=(0.216,1),initialize=0.216)
m.x482 = Var(within=Reals,bounds=(0.64,1),initialize=0.64)
m.x483 = Var(within=Reals,bounds=(0.512,1),initialize=0.512)
m.x484 = Var(within=Reals,bounds=(0.64,1),initialize=0.64)
m.x485 = Var(within=Reals,bounds=(0.512,1),initialize=0.512)
m.x486 = Var(within=Reals,bounds=(0.64,1),initialize=0.64)
m.x487 = Var(within=Reals,bounds=(0.512,1),initialize=0.512)
m.x488 = Var(within=Reals,bounds=(0.7225,1),initialize=0.7225)
m.x489 = Var(within=Reals,bounds=(0.614125,1),initialize=0.614125)
m.x490 = Var(within=Reals,bounds=(0.7225,1),initialize=0.7225)
m.x491 = Var(within=Reals,bounds=(0.614125,1),initialize=0.614125)
m.x492 = Var(within=Reals,bounds=(0.7225,1),initialize=0.7225)
m.x493 = Var(within=Reals,bounds=(0.614125,1),initialize=0.614125)
m.x494 = Var(within=Reals,bounds=(0.49,1),initialize=0.49)
m.x495 = Var(within=Reals,bounds=(0.343,1),initialize=0.343)
m.x496 = Var(within=Reals,bounds=(0.49,1),initialize=0.49)
m.x497 = Var(within=Reals,bounds=(0.343,1),initialize=0.343)
m.x498 = Var(within=Reals,bounds=(0.49,1),initialize=0.49)
m.x499 = Var(within=Reals,bounds=(0.343,1),initialize=0.343)
m.obj = Objective(expr= m.x278 + m.x283 + m.x288 + m.x293 + m.x298 + m.x303 + m.x308 + m.x313 + m.x318 + m.x323
+ m.x328 + m.x333 + m.x338 + m.x345 + m.x348 + m.x353 + m.x358 + m.x363 + m.x368 + m.x373
+ m.x378 + m.x383 + m.x388 + m.x393 + m.x398 + m.x403 + m.x408, sense=minimize)
m.c2 = Constraint(expr= m.x141 + 27.42831624*m.x143 + 37.5407324*m.x145 - 57.2814121*m.x147 == 0)
m.c3 = Constraint(expr= m.x149 + 27.42831624*m.x151 - 57.2814121*m.x153 + 37.5407324*m.x155 == 0)
m.c4 = Constraint(expr= m.x157 + 27.42831624*m.x159 - 57.2814121*m.x161 + 37.5407324*m.x163 == 0)
m.c5 = Constraint(expr= - 57.2814121*m.x147 + m.x165 + 27.42831624*m.x167 + 37.5407324*m.x169 == 0)
m.c6 = Constraint(expr= - 57.2814121*m.x153 + m.x171 + 37.5407324*m.x173 + 27.42831624*m.x175 == 0)
m.c7 = Constraint(expr= - 57.2814121*m.x161 + m.x177 + 37.5407324*m.x179 + 27.42831624*m.x181 == 0)
m.c8 = Constraint(expr= - 57.2814121*m.x147 + m.x183 + 37.5407324*m.x185 + 27.42831624*m.x187 == 0)
m.c9 = Constraint(expr= - 57.2814121*m.x153 + m.x189 + 27.42831624*m.x191 + 37.5407324*m.x193 == 0)
m.c10 = Constraint(expr= m.x29 + 27.42831624*m.x30 + 37.5407324*m.x31 - 57.2814121*m.x161 == 0)
m.c11 = Constraint(expr= m.x32 - 76.45219958*m.x33 + 43.14087708*m.x34 + 50.37356589*m.x35 == 0)
m.c12 = Constraint(expr= m.x36 + 50.37356589*m.x37 - 76.45219958*m.x38 + 43.14087708*m.x39 == 0)
m.c13 = Constraint(expr= m.x40 + 43.14087708*m.x41 + 50.37356589*m.x42 - 76.45219958*m.x43 == 0)
m.c14 = Constraint(expr= - 76.45219958*m.x33 + m.x44 + 43.14087708*m.x45 + 50.37356589*m.x46 == 0)
m.c15 = Constraint(expr= - 76.45219958*m.x38 + m.x47 + 50.37356589*m.x48 + 43.14087708*m.x49 == 0)
m.c16 = Constraint(expr= - 76.45219958*m.x43 + m.x50 + 43.14087708*m.x51 + 50.37356589*m.x52 == 0)
m.c17 = Constraint(expr= m.x53 + 58.31011875*m.x54 - 69.39622571*m.x55 - 25.39911174*m.x56 == 0)
m.c18 = Constraint(expr= m.x57 - 25.39911174*m.x58 + 58.31011875*m.x59 - 69.39622571*m.x60 == 0)
m.c19 = Constraint(expr= m.x61 - 69.39622571*m.x62 + 58.31011875*m.x63 - 25.39911174*m.x64 == 0)
m.c20 = Constraint(expr= - 69.39622571*m.x55 + m.x65 + 58.31011875*m.x66 - 25.39911174*m.x67 == 0)
m.c21 = Constraint(expr= - 69.39622571*m.x60 + m.x68 - 25.39911174*m.x69 + 58.31011875*m.x70 == 0)
m.c22 = Constraint(expr= - 69.39622571*m.x62 + m.x71 + 58.31011875*m.x72 - 25.39911174*m.x73 == 0)
m.c23 = Constraint(expr= m.x74 - 2.03724124*m.x75 + 63.61644904*m.x76 - 34.92732674*m.x77 == 0)
m.c24 = Constraint(expr= m.x78 - 2.03724124*m.x79 - 34.92732674*m.x80 + 63.61644904*m.x81 == 0)
m.c25 = Constraint(expr= m.x82 - 2.03724124*m.x83 - 34.92732674*m.x84 + 63.61644904*m.x85 == 0)
m.c26 = Constraint(expr= - 34.92732674*m.x77 + m.x86 + 63.61644904*m.x87 - 2.03724124*m.x88 == 0)
m.c27 = Constraint(expr= - 34.92732674*m.x80 + m.x89 + 63.61644904*m.x90 - 2.03724124*m.x91 == 0)
m.c28 = Constraint(expr= - 34.92732674*m.x84 + m.x92 - 2.03724124*m.x93 + 63.61644904*m.x94 == 0)
m.c29 = Constraint(expr= m.x95 + m.x96 + m.x97 >= 0.875)
m.c30 = Constraint(expr= - m.x98 + m.x99 == 0)
m.c31 = Constraint(expr= - m.x100 + m.x101 == 0)
m.c32 = Constraint(expr= - m.x102 + m.x103 == 0)
m.c33 = Constraint(expr= - m.x104 + m.x105 == 0)
m.c34 = Constraint(expr= - m.x106 + m.x107 == 0)
m.c35 = Constraint(expr= - m.x108 + m.x109 == 0)
m.c36 = Constraint(expr= m.x104 - m.x110 == 0)
m.c37 = Constraint(expr= m.x106 - m.x111 == 0)
m.c38 = Constraint(expr= m.x108 - m.x112 == 0)
m.c39 = Constraint(expr= - m.x113 + m.x114 == 0)
m.c40 = Constraint(expr= - m.x115 + m.x116 == 0)
m.c41 = Constraint(expr= - m.x117 + m.x118 == 0)
m.c42 = Constraint(expr= m.x119 == 0.296666667)
m.c43 = Constraint(expr= m.x120 == 0.294444444)
m.c44 = Constraint(expr= m.x121 == 0.283888889)
m.c45 = Constraint(expr= m.x95 - m.x99 == 0)
m.c46 = Constraint(expr= m.x96 - m.x101 == 0)
m.c47 = Constraint(expr= m.x97 - m.x103 == 0)
m.c48 = Constraint(expr= 3600*m.x98 - 3600*m.x105 + 1800*m.x122 - 1800*m.x123 == 0)
m.c49 = Constraint(expr= 3600*m.x100 - 3600*m.x107 + 1800*m.x124 - 1800*m.x125 == 0)
m.c50 = Constraint(expr= 3600*m.x102 - 3600*m.x109 + 1800*m.x126 - 1800*m.x127 == 0)
m.c51 = Constraint(expr= 3600*m.x110 - 3600*m.x114 + 720*m.x128 - 720*m.x129 == 0)
m.c52 = Constraint(expr= 3600*m.x111 - 3600*m.x116 + 720*m.x130 - 720*m.x131 == 0)
m.c53 = Constraint(expr= 3600*m.x112 - 3600*m.x118 + 720*m.x132 - 720*m.x133 == 0)
m.c54 = Constraint(expr= 3600*m.x113 - 3600*m.x119 + 1600*m.x134 - 1600*m.x135 == 0)
m.c55 = Constraint(expr= 3600*m.x115 - 3600*m.x120 + 1600*m.x136 - 1600*m.x137 == 0)
m.c56 = Constraint(expr= 3600*m.x117 - 3600*m.x121 + 1600*m.x138 - 1600*m.x139 == 0)
m.c57 = Constraint(expr= - m.x123 + m.x124 == 0)
m.c58 = Constraint(expr= - m.x125 + m.x126 == 0)
m.c59 = Constraint(expr= - m.x129 + m.x130 == 0)
m.c60 = Constraint(expr= - m.x131 + m.x132 == 0)
m.c61 = Constraint(expr= - m.x135 + m.x136 == 0)
m.c62 = Constraint(expr= - m.x137 + m.x138 == 0)
m.c63 = Constraint(expr= - 0.2*m.b2 + m.x140 >= 0)
m.c64 = Constraint(expr= - 0.2*m.b3 + m.x142 >= 0)
m.c65 = Constraint(expr= - 0.2*m.b4 + m.x144 >= 0)
m.c66 = Constraint(expr= - 0.2*m.b5 + m.x146 >= 0)
m.c67 = Constraint(expr= - 0.2*m.b6 + m.x148 >= 0)
m.c68 = Constraint(expr= - 0.2*m.b7 + m.x150 >= 0)
m.c69 = Constraint(expr= - 0.2*m.b8 + m.x152 >= 0)
m.c70 = Constraint(expr= - 0.2*m.b9 + m.x154 >= 0)
m.c71 = Constraint(expr= - 0.2*m.b10 + m.x156 >= 0)
m.c72 = Constraint(expr= - 0.25*m.b11 + m.x158 >= 0)
m.c73 = Constraint(expr= - 0.25*m.b12 + m.x160 >= 0)
m.c74 = Constraint(expr= - 0.25*m.b13 + m.x162 >= 0)
m.c75 = Constraint(expr= - 0.25*m.b14 + m.x164 >= 0)
m.c76 = Constraint(expr= - 0.25*m.b15 + m.x166 >= 0)
m.c77 = Constraint(expr= - 0.25*m.b16 + m.x168 >= 0)
m.c78 = Constraint(expr= - 0.4*m.b17 + m.x170 >= 0)
m.c79 = Constraint(expr= - 0.4*m.b18 + m.x172 >= 0)
m.c80 = Constraint(expr= - 0.4*m.b19 + m.x174 >= 0)
m.c81 = Constraint(expr= - 0.4*m.b20 + m.x176 >= 0)
m.c82 = Constraint(expr= - 0.4*m.b21 + m.x178 >= 0)
m.c83 = Constraint(expr= - 0.4*m.b22 + m.x180 >= 0)
m.c84 = Constraint(expr= - 0.24*m.b23 + m.x182 >= 0)
m.c85 = Constraint(expr= - 0.24*m.b24 + m.x184 >= 0)
m.c86 = Constraint(expr= - 0.24*m.b25 + m.x186 >= 0)
m.c87 = Constraint(expr= - 0.24*m.b26 + m.x188 >= 0)
m.c88 = Constraint(expr= - 0.24*m.b27 + m.x190 >= 0)
m.c89 = Constraint(expr= - 0.24*m.b28 + m.x192 >= 0)
m.c90 = Constraint(expr= - 0.8*m.b2 + m.x140 <= 0)
m.c91 = Constraint(expr= - 0.8*m.b3 + m.x142 <= 0)
m.c92 = Constraint(expr= - 0.8*m.b4 + m.x144 <= 0)
m.c93 = Constraint(expr= - 0.8*m.b5 + m.x146 <= 0)
m.c94 = Constraint(expr= - 0.8*m.b6 + m.x148 <= 0)
m.c95 = Constraint(expr= - 0.8*m.b7 + m.x150 <= 0)
m.c96 = Constraint(expr= - 0.8*m.b8 + m.x152 <= 0)
m.c97 = Constraint(expr= - 0.8*m.b9 + m.x154 <= 0)
m.c98 = Constraint(expr= - 0.8*m.b10 + m.x156 <= 0)
m.c99 = Constraint(expr= - 0.5*m.b11 + m.x158 <= 0)
m.c100 = Constraint(expr= - 0.5*m.b12 + m.x160 <= 0)
m.c101 = Constraint(expr= - 0.5*m.b13 + m.x162 <= 0)
m.c102 = Constraint(expr= - 0.5*m.b14 + m.x164 <= 0)
m.c103 = Constraint(expr= - 0.5*m.b15 + m.x166 <= 0)
m.c104 = Constraint(expr= - 0.5*m.b16 + m.x168 <= 0)
m.c105 = Constraint(expr= - 0.7*m.b17 + m.x170 <= 0)
m.c106 = Constraint(expr= - 0.7*m.b18 + m.x172 <= 0)
m.c107 = Constraint(expr= - 0.7*m.b19 + m.x174 <= 0)
m.c108 = Constraint(expr= - 0.7*m.b20 + m.x176 <= 0)
m.c109 = Constraint(expr= - 0.7*m.b21 + m.x178 <= 0)
m.c110 = Constraint(expr= - 0.7*m.b22 + m.x180 <= 0)
m.c111 = Constraint(expr= - 0.58*m.b23 + m.x182 <= 0)
m.c112 = Constraint(expr= - 0.58*m.b24 + m.x184 <= 0)
m.c113 = Constraint(expr= - 0.58*m.b25 + m.x186 <= 0)
m.c114 = Constraint(expr= - 0.58*m.b26 + m.x188 <= 0)
m.c115 = Constraint(expr= - 0.58*m.b27 + m.x190 <= 0)
m.c116 = Constraint(expr= - 0.58*m.b28 + m.x192 <= 0)
m.c117 = Constraint(expr= - m.x122 + m.x194 == 60)
m.c118 = Constraint(expr= - m.x124 + m.x195 == 60)
m.c119 = Constraint(expr= - m.x126 + m.x196 == 60)
m.c120 = Constraint(expr= - m.x128 + m.x197 == 90)
m.c121 = Constraint(expr= - m.x130 + m.x198 == 90)
m.c122 = Constraint(expr= - m.x132 + m.x199 == 90)
m.c123 = Constraint(expr= - m.x134 + m.x200 == 103)
m.c124 = Constraint(expr= - m.x136 + m.x201 == 103)
m.c125 = Constraint(expr= - m.x138 + m.x202 == 103)
m.c126 = Constraint(expr= - m.x194 + m.x203 - m.x204 == 0)
m.c127 = Constraint(expr= - m.x195 + m.x205 - m.x206 == 0)
m.c128 = Constraint(expr= - m.x196 + m.x207 - m.x208 == 0)
m.c129 = Constraint(expr= m.x209 - m.x210 - m.x211 == 0)
m.c130 = Constraint(expr= m.x212 - m.x213 - m.x214 == 0)
m.c131 = Constraint(expr= m.x215 - m.x216 - m.x217 == 0)
m.c132 = Constraint(expr= - m.x200 + m.x218 - m.x219 == 0)
m.c133 = Constraint(expr= - m.x201 + m.x220 - m.x221 == 0)
m.c134 = Constraint(expr= - m.x202 + m.x222 - m.x223 == 0)
m.c135 = Constraint(expr= m.x203 - m.x224 - m.x225 == 0)
m.c136 = Constraint(expr= m.x205 - m.x226 - m.x227 == 0)
m.c137 = Constraint(expr= m.x207 - m.x228 - m.x229 == 0)
m.c138 = Constraint(expr= - m.x194 + m.x209 - m.x230 == 0)
m.c139 = Constraint(expr= - m.x195 + m.x212 - m.x231 == 0)
m.c140 = Constraint(expr= - m.x196 + m.x215 - m.x232 == 0)
m.c141 = Constraint(expr= - m.x197 + m.x218 - m.x233 == 0)
m.c142 = Constraint(expr= - m.x198 + m.x220 - m.x234 == 0)
m.c143 = Constraint(expr= - m.x199 + m.x222 - m.x235 == 0)
m.c144 = Constraint(expr= 0.2*m.b2 - m.x140 + m.x236 <= 0.2)
m.c145 = Constraint(expr= 0.2*m.b3 - m.x142 + m.x237 <= 0.2)
m.c146 = Constraint(expr= 0.2*m.b4 - m.x144 + m.x238 <= 0.2)
m.c147 = Constraint(expr= 0.2*m.b5 - m.x146 + m.x239 <= 0.2)
m.c148 = Constraint(expr= 0.2*m.b6 - m.x148 + m.x240 <= 0.2)
m.c149 = Constraint(expr= 0.2*m.b7 - m.x150 + m.x241 <= 0.2)
m.c150 = Constraint(expr= 0.2*m.b8 - m.x152 + m.x242 <= 0.2)
m.c151 = Constraint(expr= 0.2*m.b9 - m.x154 + m.x243 <= 0.2)
m.c152 = Constraint(expr= 0.2*m.b10 - m.x156 + m.x244 <= 0.2)
m.c153 = Constraint(expr= 0.25*m.b11 - m.x158 + m.x245 <= 0.25)
m.c154 = Constraint(expr= 0.25*m.b12 - m.x160 + m.x246 <= 0.25)
m.c155 = Constraint(expr= 0.25*m.b13 - m.x162 + m.x247 <= 0.25)
m.c156 = Constraint(expr= 0.25*m.b14 - m.x164 + m.x248 <= 0.25)
m.c157 = Constraint(expr= 0.25*m.b15 - m.x166 + m.x249 <= 0.25)
m.c158 = Constraint(expr= 0.25*m.b16 - m.x168 + m.x250 <= 0.25)
m.c159 = Constraint(expr= 0.4*m.b17 - m.x170 + m.x251 <= 0.4)
m.c160 = Constraint(expr= 0.4*m.b18 - m.x172 + m.x252 <= 0.4)
m.c161 = Constraint(expr= 0.4*m.b19 - m.x174 + m.x253 <= 0.4)
m.c162 = Constraint(expr= 0.4*m.b20 - m.x176 + m.x254 <= 0.4)
m.c163 = Constraint(expr= 0.4*m.b21 - m.x178 + m.x255 <= 0.4)
m.c164 = Constraint(expr= 0.4*m.b22 - m.x180 + m.x256 <= 0.4)
m.c165 = Constraint(expr= 0.24*m.b23 - m.x182 + m.x257 <= 0.24)
m.c166 = Constraint(expr= 0.24*m.b24 - m.x184 + m.x258 <= 0.24)
m.c167 = Constraint(expr= 0.24*m.b25 - m.x186 + m.x259 <= 0.24)
m.c168 = Constraint(expr= 0.24*m.b26 - m.x188 + m.x260 <= 0.24)
m.c169 = Constraint(expr= 0.24*m.b27 - m.x190 + m.x261 <= 0.24)
m.c170 = Constraint(expr= 0.24*m.b28 - m.x192 + m.x262 <= 0.24)
m.c171 = Constraint(expr= - m.x140 + m.x236 >= 0)
m.c172 = Constraint(expr= - m.x142 + m.x237 >= 0)
m.c173 = Constraint(expr= - m.x144 + m.x238 >= 0)
m.c174 = Constraint(expr= - m.x146 + m.x239 >= 0)
m.c175 = Constraint(expr= - m.x148 + m.x240 >= 0)
m.c176 = Constraint(expr= - m.x150 + m.x241 >= 0)
m.c177 = Constraint(expr= - m.x152 + m.x242 >= 0)
m.c178 = Constraint(expr= - m.x154 + m.x243 >= 0)
m.c179 = Constraint(expr= - m.x156 + m.x244 >= 0)
m.c180 = Constraint(expr= - m.x158 + m.x245 >= 0)
m.c181 = Constraint(expr= - m.x160 + m.x246 >= 0)
m.c182 = Constraint(expr= - m.x162 + m.x247 >= 0)
m.c183 = Constraint(expr= - m.x164 + m.x248 >= 0)
m.c184 = Constraint(expr= - m.x166 + m.x249 >= 0)
m.c185 = Constraint(expr= - m.x168 + m.x250 >= 0)
m.c186 = Constraint(expr= - m.x170 + m.x251 >= 0)
m.c187 = Constraint(expr= - m.x172 + m.x252 >= 0)
m.c188 = Constraint(expr= - m.x174 + m.x253 >= 0)
m.c189 = Constraint(expr= - m.x176 + m.x254 >= 0)
m.c190 = Constraint(expr= - m.x178 + m.x255 >= 0)
m.c191 = Constraint(expr= - m.x180 + m.x256 >= 0)
m.c192 = Constraint(expr= - m.x182 + m.x257 >= 0)
m.c193 = Constraint(expr= - m.x184 + m.x258 >= 0)
m.c194 = Constraint(expr= - m.x186 + m.x259 >= 0)
m.c195 = Constraint(expr= - m.x188 + m.x260 >= 0)
m.c196 = Constraint(expr= - m.x190 + m.x261 >= 0)
m.c197 = Constraint(expr= - m.x192 + m.x262 >= 0)
m.c198 = Constraint(expr= - 0.6*m.b2 + m.x236 <= 0.2)
m.c199 = Constraint(expr= - 0.6*m.b3 + m.x237 <= 0.2)
m.c200 = Constraint(expr= - 0.6*m.b4 + m.x238 <= 0.2)
m.c201 = Constraint(expr= - 0.6*m.b5 + m.x239 <= 0.2)
m.c202 = Constraint(expr= - 0.6*m.b6 + m.x240 <= 0.2)
m.c203 = Constraint(expr= - 0.6*m.b7 + m.x241 <= 0.2)
m.c204 = Constraint(expr= - 0.6*m.b8 + m.x242 <= 0.2)
m.c205 = Constraint(expr= - 0.6*m.b9 + m.x243 <= 0.2)
m.c206 = Constraint(expr= - 0.6*m.b10 + m.x244 <= 0.2)
m.c207 = Constraint(expr= - 0.25*m.b11 + m.x245 <= 0.25)
m.c208 = Constraint(expr= - 0.25*m.b12 + m.x246 <= 0.25)
m.c209 = Constraint(expr= - 0.25*m.b13 + m.x247 <= 0.25)
m.c210 = Constraint(expr= - 0.25*m.b14 + m.x248 <= 0.25)
m.c211 = Constraint(expr= - 0.25*m.b15 + m.x249 <= 0.25)
m.c212 = Constraint(expr= - 0.25*m.b16 + m.x250 <= 0.25)
m.c213 = Constraint(expr= - 0.3*m.b17 + m.x251 <= 0.4)
m.c214 = Constraint(expr= - 0.3*m.b18 + m.x252 <= 0.4)
m.c215 = Constraint(expr= - 0.3*m.b19 + m.x253 <= 0.4)
m.c216 = Constraint(expr= - 0.3*m.b20 + m.x254 <= 0.4)
m.c217 = Constraint(expr= - 0.3*m.b21 + m.x255 <= 0.4)
m.c218 = Constraint(expr= - 0.3*m.b22 + m.x256 <= 0.4)
m.c219 = Constraint(expr= - 0.34*m.b23 + m.x257 <= 0.24)
m.c220 = Constraint(expr= - 0.34*m.b24 + m.x258 <= 0.24)
m.c221 = Constraint(expr= - 0.34*m.b25 + m.x259 <= 0.24)
m.c222 = Constraint(expr= - 0.34*m.b26 + m.x260 <= 0.24)
m.c223 = Constraint(expr= - 0.34*m.b27 + m.x261 <= 0.24)
m.c224 = Constraint(expr= - 0.34*m.b28 + m.x262 <= 0.24)
m.c225 = Constraint(expr= - 0.4*m.b2 + m.x263 <= 0.6)
m.c226 = Constraint(expr= - 0.4*m.b3 + m.x264 <= 0.6)
m.c227 = Constraint(expr= - 0.4*m.b4 + m.x265 <= 0.6)
m.c228 = Constraint(expr= - 0.2*m.b11 + m.x266 <= 0.8)
m.c229 = Constraint(expr= - 0.2*m.b12 + m.x267 <= 0.8)
m.c230 = Constraint(expr= - 0.2*m.b13 + m.x268 <= 0.8)
m.c231 = Constraint(expr= - 0.15*m.b17 + m.x269 <= 0.85)
m.c232 = Constraint(expr= - 0.15*m.b18 + m.x270 <= 0.85)
m.c233 = Constraint(expr= - 0.15*m.b19 + m.x271 <= 0.85)
m.c234 = Constraint(expr= - 0.3*m.b23 + m.x272 <= 0.7)
m.c235 = Constraint(expr= - 0.3*m.b24 + m.x273 <= 0.7)
m.c236 = Constraint(expr= - 0.3*m.b25 + m.x274 <= 0.7)
m.c237 = Constraint(expr= m.b2 - m.b5 >= 0)
m.c238 = Constraint(expr= m.b3 - m.b6 >= 0)
m.c239 = Constraint(expr= m.b4 - m.b7 >= 0)
m.c240 = Constraint(expr= m.b5 - m.b8 >= 0)
m.c241 = Constraint(expr= m.b6 - m.b9 >= 0)
m.c242 = Constraint(expr= m.b7 - m.b10 >= 0)
m.c243 = Constraint(expr= m.b11 - m.b14 >= 0)
m.c244 = Constraint(expr= m.b12 - m.b15 >= 0)
m.c245 = Constraint(expr= m.b13 - m.b16 >= 0)
m.c246 = Constraint(expr= m.b17 - m.b20 >= 0)
m.c247 = Constraint(expr= m.b18 - m.b21 >= 0)
m.c248 = Constraint(expr= m.b19 - m.b22 >= 0)
m.c249 = Constraint(expr= m.b23 - m.b26 >= 0)
m.c250 = Constraint(expr= m.b24 - m.b27 >= 0)
m.c251 = Constraint(expr= m.b25 - m.b28 >= 0)
m.c252 = Constraint(expr= m.x99 - m.x140 - m.x146 - m.x152 == 0)
m.c253 = Constraint(expr= m.x101 - m.x142 - m.x148 - m.x154 == 0)
m.c254 = Constraint(expr= m.x103 - m.x144 - m.x150 - m.x156 == 0)
m.c255 = Constraint(expr= m.x105 - m.x158 - m.x164 - m.x170 - m.x176 == 0)
m.c256 = Constraint(expr= m.x107 - m.x160 - m.x166 - m.x172 - m.x178 == 0)
m.c257 = Constraint(expr= m.x109 - m.x162 - m.x168 - m.x174 - m.x180 == 0)
m.c258 = Constraint(expr= m.x114 - m.x182 - m.x188 == 0)
m.c259 = Constraint(expr= m.x116 - m.x184 - m.x190 == 0)
m.c260 = Constraint(expr= m.x118 - m.x186 - m.x192 == 0)
m.c261 = Constraint(expr= - 2000*m.b2 + m.x141 - m.x225 >= -2000)
m.c262 = Constraint(expr= - 2000*m.b3 + m.x149 - m.x227 >= -2000)
m.c263 = Constraint(expr= - 2000*m.b4 + m.x157 - m.x229 >= -2000)
m.c264 = Constraint(expr= - 2000*m.b5 + m.x165 - m.x225 >= -2000)
m.c265 = Constraint(expr= - 2000*m.b6 + m.x171 - m.x227 >= -2000)
m.c266 = Constraint(expr= - 2000*m.b7 + m.x177 - m.x229 >= -2000)
m.c267 = Constraint(expr= - 2000*m.b8 + m.x183 - m.x225 >= -2000)
m.c268 = Constraint(expr= - 2000*m.b9 + m.x189 - m.x227 >= -2000)
m.c269 = Constraint(expr= - 2000*m.b10 + m.x29 - m.x229 >= -2000)
m.c270 = Constraint(expr= - 2000*m.b11 + m.x32 - m.x230 >= -2000)
m.c271 = Constraint(expr= - 2000*m.b12 + m.x36 - m.x231 >= -2000)
m.c272 = Constraint(expr= - 2000*m.b13 + m.x40 - m.x232 >= -2000)
m.c273 = Constraint(expr= - 2000*m.b14 + m.x44 - m.x230 >= -2000)
m.c274 = Constraint(expr= - 2000*m.b15 + m.x47 - m.x231 >= -2000)
m.c275 = Constraint(expr= - 2000*m.b16 + m.x50 - m.x232 >= -2000)
m.c276 = Constraint(expr= - 2000*m.b17 + m.x53 - m.x230 >= -2000)
m.c277 = Constraint(expr= - 2000*m.b18 + m.x57 - m.x231 >= -2000)
m.c278 = Constraint(expr= - 2000*m.b19 + m.x61 - m.x232 >= -2000)
m.c279 = Constraint(expr= - 2000*m.b20 + m.x65 - m.x230 >= -2000)
m.c280 = Constraint(expr= - 2000*m.b21 + m.x68 - m.x231 >= -2000)
m.c281 = Constraint(expr= - 2000*m.b22 + m.x71 - m.x232 >= -2000)
m.c282 = Constraint(expr= - 2000*m.b23 + m.x74 - m.x233 >= -2000)
m.c283 = Constraint(expr= - 2000*m.b24 + m.x78 - m.x234 >= -2000)
m.c284 = Constraint(expr= - 2000*m.b25 + m.x82 - m.x235 >= -2000)
m.c285 = Constraint(expr= - 2000*m.b26 + m.x86 - m.x233 >= -2000)
m.c286 = Constraint(expr= - 2000*m.b27 + m.x89 - m.x234 >= -2000)
m.c287 = Constraint(expr= - 2000*m.b28 + m.x92 - m.x235 >= -2000)
m.c288 = Constraint(expr= 1049*m.b2 + m.x141 - m.x225 <= 1049)
m.c289 = Constraint(expr= 1049*m.b3 + m.x149 - m.x227 <= 1049)
m.c290 = Constraint(expr= 1049*m.b4 + m.x157 - m.x229 <= 1049)
m.c291 = Constraint(expr= 1049*m.b5 + m.x165 - m.x225 <= 1049)
m.c292 = Constraint(expr= 1049*m.b6 + m.x171 - m.x227 <= 1049)
m.c293 = Constraint(expr= 1049*m.b7 + m.x177 - m.x229 <= 1049)
m.c294 = Constraint(expr= 1049*m.b8 + m.x183 - m.x225 <= 1049)
m.c295 = Constraint(expr= 1049*m.b9 + m.x189 - m.x227 <= 1049)
m.c296 = Constraint(expr= 1049*m.b10 + m.x29 - m.x229 <= 1049)
m.c297 = Constraint(expr= 1065*m.b11 + m.x32 - m.x230 <= 1065)
m.c298 = Constraint(expr= 1065*m.b12 + m.x36 - m.x231 <= 1065)
m.c299 = Constraint(expr= 1065*m.b13 + m.x40 - m.x232 <= 1065)
m.c300 = Constraint(expr= 1065*m.b14 + m.x44 - m.x230 <= 1065)
m.c301 = Constraint(expr= 1065*m.b15 + m.x47 - m.x231 <= 1065)
m.c302 = Constraint(expr= 1065*m.b16 + m.x50 - m.x232 <= 1065)
m.c303 = Constraint(expr= 1065*m.b17 + m.x53 - m.x230 <= 1065)
m.c304 = Constraint(expr= 1065*m.b18 + m.x57 - m.x231 <= 1065)
m.c305 = Constraint(expr= 1065*m.b19 + m.x61 - m.x232 <= 1065)
m.c306 = Constraint(expr= 1065*m.b20 + m.x65 - m.x230 <= 1065)
m.c307 = Constraint(expr= 1065*m.b21 + m.x68 - m.x231 <= 1065)
m.c308 = Constraint(expr= 1065*m.b22 + m.x71 - m.x232 <= 1065)
m.c309 = Constraint(expr= 1095*m.b23 + m.x74 - m.x233 <= 1095)
m.c310 = Constraint(expr= 1095*m.b24 + m.x78 - m.x234 <= 1095)
m.c311 = Constraint(expr= 1095*m.b25 + m.x82 - m.x235 <= 1095)
m.c312 = Constraint(expr= 1095*m.b26 + m.x86 - m.x233 <= 1095)
m.c313 = Constraint(expr= 1095*m.b27 + m.x89 - m.x234 <= 1095)
m.c314 = Constraint(expr= 1095*m.b28 + m.x92 - m.x235 <= 1095)
m.c315 = Constraint(expr= - m.x197 + m.x210 >= 0)
m.c316 = Constraint(expr= - m.x198 + m.x213 >= 0)
m.c317 = Constraint(expr= - m.x199 + m.x216 >= 0)
m.c318 = Constraint(expr= m.x200 - m.x275 >= 0)
m.c319 = Constraint(expr= m.x201 - m.x276 >= 0)
m.c320 = Constraint(expr= m.x202 - m.x277 >= 0)
m.c321 = Constraint(expr= - 0.309838295393634*m.x278 + 13.94696158*m.x279 + 24.46510819*m.x280 - 7.28623839*m.x281
- 23.57687014*m.x282 <= 0)
m.c322 = Constraint(expr= - 0.309838295393634*m.x283 + 13.94696158*m.x284 + 24.46510819*m.x285 - 7.28623839*m.x286
- 23.57687014*m.x287 <= 0)
m.c323 = Constraint(expr= - 0.309838295393634*m.x288 + 13.94696158*m.x289 + 24.46510819*m.x290 - 7.28623839*m.x291
- 23.57687014*m.x292 <= 0)
m.c324 = Constraint(expr= - 0.309838295393634*m.x293 + 13.94696158*m.x294 + 24.46510819*m.x295 - 7.28623839*m.x296
- 23.57687014*m.x297 <= 0)
m.c325 = Constraint(expr= - 0.309838295393634*m.x298 + 13.94696158*m.x299 + 24.46510819*m.x300 - 7.28623839*m.x301
- 23.57687014*m.x302 <= 0)
m.c326 = Constraint(expr= - 0.309838295393634*m.x303 + 13.94696158*m.x304 + 24.46510819*m.x305 - 7.28623839*m.x306
- 23.57687014*m.x307 <= 0)
m.c327 = Constraint(expr= - 0.309838295393634*m.x308 + 13.94696158*m.x309 + 24.46510819*m.x310 - 7.28623839*m.x311
- 23.57687014*m.x312 <= 0)
m.c328 = Constraint(expr= - 0.309838295393634*m.x313 + 13.94696158*m.x314 + 24.46510819*m.x315 - 7.28623839*m.x316
- 23.57687014*m.x317 <= 0)
m.c329 = Constraint(expr= - 0.309838295393634*m.x318 + 13.94696158*m.x319 + 24.46510819*m.x320 - 7.28623839*m.x321
- 23.57687014*m.x322 <= 0)
m.c330 = Constraint(expr= - 0.309838295393634*m.x323 + 29.29404529*m.x324 - 108.39408287*m.x325 + 442.21990639*m.x326
- 454.58448169*m.x327 <= 0)
m.c331 = Constraint(expr= - 0.309838295393634*m.x328 + 29.29404529*m.x329 - 108.39408287*m.x330 + 442.21990639*m.x331
- 454.58448169*m.x332 <= 0)
m.c332 = Constraint(expr= - 0.309838295393634*m.x333 + 29.29404529*m.x334 - 108.39408287*m.x335 + 442.21990639*m.x336
- 454.58448169*m.x337 <= 0)
m.c333 = Constraint(expr= - 0.309838295393634*m.x338 + 29.29404529*m.x339 - 108.39408287*m.x340 + 442.21990639*m.x341
- 454.58448169*m.x342 <= 0)
m.c334 = Constraint(expr= 442.21990639*m.x343 - 454.58448169*m.x344 - 0.309838295393634*m.x345 + 29.29404529*m.x346
- 108.39408287*m.x347 <= 0)
m.c335 = Constraint(expr= - 0.309838295393634*m.x348 + 29.29404529*m.x349 - 108.39408287*m.x350 + 442.21990639*m.x351
- 454.58448169*m.x352 <= 0)
m.c336 = Constraint(expr= - 0.309838295393634*m.x353 + 25.92674585*m.x354 + 18.13482123*m.x355 + 22.12766012*m.x356
- 42.68950769*m.x357 <= 0)
m.c337 = Constraint(expr= - 0.309838295393634*m.x358 + 25.92674585*m.x359 + 18.13482123*m.x360 + 22.12766012*m.x361
- 42.68950769*m.x362 <= 0)
m.c338 = Constraint(expr= - 0.309838295393634*m.x363 + 25.92674585*m.x364 + 18.13482123*m.x365 + 22.12766012*m.x366
- 42.68950769*m.x367 <= 0)
m.c339 = Constraint(expr= - 0.309838295393634*m.x368 + 25.92674585*m.x369 + 18.13482123*m.x370 + 22.12766012*m.x371
- 42.68950769*m.x372 <= 0)
m.c340 = Constraint(expr= - 0.309838295393634*m.x373 + 25.92674585*m.x374 + 18.13482123*m.x375 + 22.12766012*m.x376
- 42.68950769*m.x377 <= 0)
m.c341 = Constraint(expr= - 0.309838295393634*m.x378 + 25.92674585*m.x379 + 18.13482123*m.x380 + 22.12766012*m.x381
- 42.68950769*m.x382 <= 0)
m.c342 = Constraint(expr= - 0.309838295393634*m.x383 + 17.4714791*m.x384 - 39.98407808*m.x385 + 134.55943082*m.x386
- 135.88441782*m.x387 <= 0)
m.c343 = Constraint(expr= - 0.309838295393634*m.x388 + 17.4714791*m.x389 - 39.98407808*m.x390 + 134.55943082*m.x391
- 135.88441782*m.x392 <= 0)
m.c344 = Constraint(expr= - 0.309838295393634*m.x393 + 17.4714791*m.x394 - 39.98407808*m.x395 + 134.55943082*m.x396
- 135.88441782*m.x397 <= 0)
m.c345 = Constraint(expr= - 0.309838295393634*m.x398 + 17.4714791*m.x399 - 39.98407808*m.x400 + 134.55943082*m.x401
- 135.88441782*m.x402 <= 0)
m.c346 = Constraint(expr= - 0.309838295393634*m.x403 + 17.4714791*m.x404 - 39.98407808*m.x405 + 134.55943082*m.x406
- 135.88441782*m.x407 <= 0)
m.c347 = Constraint(expr= - 0.309838295393634*m.x408 + 17.4714791*m.x409 - 39.98407808*m.x410 + 134.55943082*m.x411
- 135.88441782*m.x412 <= 0)
m.c348 = Constraint(expr=m.x98**2 - m.x413 == 0)
m.c349 = Constraint(expr= m.x204 - 5*m.x413 == 0)
m.c350 = Constraint(expr=m.x100**2 - m.x414 == 0)
m.c351 = Constraint(expr= m.x206 - 5*m.x414 == 0)
m.c352 = Constraint(expr=m.x102**2 - m.x415 == 0)
m.c353 = Constraint(expr= m.x208 - 5*m.x415 == 0)
m.c354 = Constraint(expr=m.x104**2 - m.x416 == 0)
m.c355 = Constraint(expr= m.x211 - 4*m.x416 == 0)
m.c356 = Constraint(expr=m.x106**2 - m.x417 == 0)
m.c357 = Constraint(expr= m.x214 - 4*m.x417 == 0)
m.c358 = Constraint(expr=m.x108**2 - m.x418 == 0)
m.c359 = Constraint(expr= m.x217 - 4*m.x418 == 0)
m.c360 = Constraint(expr=m.x113**2 - m.x419 == 0)
m.c361 = Constraint(expr= m.x219 - 5*m.x419 == 0)
m.c362 = Constraint(expr=m.x115**2 - m.x420 == 0)
m.c363 = Constraint(expr= m.x221 - 5*m.x420 == 0)
m.c364 = Constraint(expr=m.x117**2 - m.x421 == 0)
m.c365 = Constraint(expr= m.x223 - 5*m.x421 == 0)
m.c366 = Constraint(expr=m.x140**2 - m.x422 == 0)
m.c367 = Constraint(expr= m.x143 - m.x422 == 0)
m.c368 = Constraint(expr=m.x140**3 - m.x423 == 0)
m.c369 = Constraint(expr= m.x282 - m.x423 == 0)
m.c370 = Constraint(expr=m.x142**2 - m.x424 == 0)
m.c371 = Constraint(expr= m.x151 - m.x424 == 0)
m.c372 = Constraint(expr=m.x142**3 - m.x425 == 0)
m.c373 = Constraint(expr= m.x287 - m.x425 == 0)
m.c374 = Constraint(expr=m.x144**2 - m.x426 == 0)
m.c375 = Constraint(expr= m.x159 - m.x426 == 0)
m.c376 = Constraint(expr=m.x144**3 - m.x427 == 0)
m.c377 = Constraint(expr= m.x292 - m.x427 == 0)
m.c378 = Constraint(expr=m.x146**2 - m.x428 == 0)
m.c379 = Constraint(expr= m.x167 - m.x428 == 0)
m.c380 = Constraint(expr=m.x146**3 - m.x429 == 0)
m.c381 = Constraint(expr= m.x297 - m.x429 == 0)
m.c382 = Constraint(expr=m.x148**2 - m.x430 == 0)
m.c383 = Constraint(expr= m.x175 - m.x430 == 0)
m.c384 = Constraint(expr=m.x148**3 - m.x431 == 0)
m.c385 = Constraint(expr= m.x302 - m.x431 == 0)
m.c386 = Constraint(expr=m.x150**2 - m.x432 == 0)
m.c387 = Constraint(expr= m.x181 - m.x432 == 0)
m.c388 = Constraint(expr=m.x150**3 - m.x433 == 0)
m.c389 = Constraint(expr= m.x307 - m.x433 == 0)
m.c390 = Constraint(expr=m.x152**2 - m.x434 == 0)
m.c391 = Constraint(expr= m.x187 - m.x434 == 0)
m.c392 = Constraint(expr=m.x152**3 - m.x435 == 0)
m.c393 = Constraint(expr= m.x312 - m.x435 == 0)
m.c394 = Constraint(expr=m.x154**2 - m.x436 == 0)
m.c395 = Constraint(expr= m.x191 - m.x436 == 0)
m.c396 = Constraint(expr=m.x154**3 - m.x437 == 0)
m.c397 = Constraint(expr= m.x317 - m.x437 == 0)
m.c398 = Constraint(expr=m.x156**2 - m.x438 == 0)
m.c399 = Constraint(expr= m.x30 - m.x438 == 0)
m.c400 = Constraint(expr=m.x156**3 - m.x439 == 0)
m.c401 = Constraint(expr= m.x322 - m.x439 == 0)
m.c402 = Constraint(expr=m.x158**2 - m.x440 == 0)
m.c403 = Constraint(expr= m.x35 - m.x440 == 0)
m.c404 = Constraint(expr=m.x158**3 - m.x441 == 0)
m.c405 = Constraint(expr= m.x327 - m.x441 == 0)
m.c406 = Constraint(expr=m.x160**2 - m.x442 == 0)
m.c407 = Constraint(expr= m.x37 - m.x442 == 0)
m.c408 = Constraint(expr=m.x160**3 - m.x443 == 0)
m.c409 = Constraint(expr= m.x332 - m.x443 == 0)
m.c410 = Constraint(expr=m.x162**2 - m.x444 == 0)
m.c411 = Constraint(expr= m.x42 - m.x444 == 0)
m.c412 = Constraint(expr=m.x162**3 - m.x445 == 0)
m.c413 = Constraint(expr= m.x337 - m.x445 == 0)
m.c414 = Constraint(expr=m.x164**2 - m.x446 == 0)
m.c415 = Constraint(expr= m.x46 - m.x446 == 0)
m.c416 = Constraint(expr=m.x164**3 - m.x447 == 0)
m.c417 = Constraint(expr= m.x342 - m.x447 == 0)
m.c418 = Constraint(expr=m.x166**2 - m.x448 == 0)
m.c419 = Constraint(expr= m.x48 - m.x448 == 0)
m.c420 = Constraint(expr=m.x166**3 - m.x449 == 0)
m.c421 = Constraint(expr= m.x344 - m.x449 == 0)
m.c422 = Constraint(expr=m.x168**2 - m.x450 == 0)
m.c423 = Constraint(expr= m.x52 - m.x450 == 0)
m.c424 = Constraint(expr=m.x168**3 - m.x451 == 0)
m.c425 = Constraint(expr= m.x352 - m.x451 == 0)
m.c426 = Constraint(expr=m.x170**2 - m.x452 == 0)
m.c427 = Constraint(expr= m.x56 - m.x452 == 0)
m.c428 = Constraint(expr=m.x170**3 - m.x453 == 0)
m.c429 = Constraint(expr= m.x357 - m.x453 == 0)
m.c430 = Constraint(expr=m.x172**2 - m.x454 == 0)
m.c431 = Constraint(expr= m.x58 - m.x454 == 0)
m.c432 = Constraint(expr=m.x172**3 - m.x455 == 0)
m.c433 = Constraint(expr= m.x362 - m.x455 == 0)
m.c434 = Constraint(expr=m.x174**2 - m.x456 == 0)
m.c435 = Constraint(expr= m.x64 - m.x456 == 0)
m.c436 = Constraint(expr=m.x174**3 - m.x457 == 0)
m.c437 = Constraint(expr= m.x367 - m.x457 == 0)
m.c438 = Constraint(expr=m.x176**2 - m.x458 == 0)
m.c439 = Constraint(expr= m.x67 - m.x458 == 0)
m.c440 = Constraint(expr=m.x176**3 - m.x459 == 0)
m.c441 = Constraint(expr= m.x372 - m.x459 == 0)
m.c442 = Constraint(expr=m.x178**2 - m.x460 == 0)
m.c443 = Constraint(expr= m.x69 - m.x460 == 0)
m.c444 = Constraint(expr=m.x178**3 - m.x461 == 0)
m.c445 = Constraint(expr= m.x377 - m.x461 == 0)
m.c446 = Constraint(expr=m.x180**2 - m.x462 == 0)
m.c447 = Constraint(expr= m.x73 - m.x462 == 0)
m.c448 = Constraint(expr=m.x180**3 - m.x463 == 0)
m.c449 = Constraint(expr= m.x382 - m.x463 == 0)
m.c450 = Constraint(expr=m.x182**2 - m.x464 == 0)
m.c451 = Constraint(expr= m.x76 - m.x464 == 0)
m.c452 = Constraint(expr=m.x182**3 - m.x465 == 0)
m.c453 = Constraint(expr= m.x387 - m.x465 == 0)
m.c454 = Constraint(expr=m.x184**2 - m.x466 == 0)
m.c455 = Constraint(expr= m.x81 - m.x466 == 0)
m.c456 = Constraint(expr=m.x184**3 - m.x467 == 0)
m.c457 = Constraint(expr= m.x392 - m.x467 == 0)
m.c458 = Constraint(expr=m.x186**2 - m.x468 == 0)
m.c459 = Constraint(expr= m.x85 - m.x468 == 0)
m.c460 = Constraint(expr=m.x186**3 - m.x469 == 0)
m.c461 = Constraint(expr= m.x397 - m.x469 == 0)
m.c462 = Constraint(expr=m.x188**2 - m.x470 == 0)
m.c463 = Constraint(expr= m.x87 - m.x470 == 0)
m.c464 = Constraint(expr=m.x188**3 - m.x471 == 0)
m.c465 = Constraint(expr= m.x402 - m.x471 == 0)
m.c466 = Constraint(expr=m.x190**2 - m.x472 == 0)
m.c467 = Constraint(expr= m.x90 - m.x472 == 0)
m.c468 = Constraint(expr=m.x190**3 - m.x473 == 0)
m.c469 = Constraint(expr= m.x407 - m.x473 == 0)
m.c470 = Constraint(expr=m.x192**2 - m.x474 == 0)
m.c471 = Constraint(expr= m.x94 - m.x474 == 0)
m.c472 = Constraint(expr=m.x192**3 - m.x475 == 0)
m.c473 = Constraint(expr= m.x412 - m.x475 == 0)
m.c474 = Constraint(expr=m.x140*m.x263 - m.x145 == 0)
m.c475 = Constraint(expr=m.x263*m.x422 - m.x281 == 0)
m.c476 = Constraint(expr=m.x146*m.x263 - m.x169 == 0)
m.c477 = Constraint(expr=m.x263*m.x428 - m.x296 == 0)
m.c478 = Constraint(expr=m.x152*m.x263 - m.x185 == 0)
m.c479 = Constraint(expr=m.x263*m.x434 - m.x311 == 0)
m.c480 = Constraint(expr=m.x263**2 - m.x476 == 0)
m.c481 = Constraint(expr= m.x147 - m.x476 == 0)
m.c482 = Constraint(expr=m.x140*m.x476 - m.x280 == 0)
m.c483 = Constraint(expr=m.x146*m.x476 - m.x295 == 0)
m.c484 = Constraint(expr=m.x152*m.x476 - m.x310 == 0)
m.c485 = Constraint(expr=m.x263**3 - m.x477 == 0)
m.c486 = Constraint(expr=m.b2*m.x477 - m.x279 == 0)
m.c487 = Constraint(expr=m.b5*m.x477 - m.x294 == 0)
m.c488 = Constraint(expr=m.b8*m.x477 - m.x309 == 0)
m.c489 = Constraint(expr=m.x142*m.x264 - m.x155 == 0)
m.c490 = Constraint(expr=m.x264*m.x424 - m.x286 == 0)
m.c491 = Constraint(expr=m.x148*m.x264 - m.x173 == 0)
m.c492 = Constraint(expr=m.x264*m.x430 - m.x301 == 0)
m.c493 = Constraint(expr=m.x154*m.x264 - m.x193 == 0)
m.c494 = Constraint(expr=m.x264*m.x436 - m.x316 == 0)
m.c495 = Constraint(expr=m.x264**2 - m.x478 == 0)
m.c496 = Constraint(expr= m.x153 - m.x478 == 0)
m.c497 = Constraint(expr=m.x142*m.x478 - m.x285 == 0)
m.c498 = Constraint(expr=m.x148*m.x478 - m.x300 == 0)
m.c499 = Constraint(expr=m.x154*m.x478 - m.x315 == 0)
m.c500 = Constraint(expr=m.x264**3 - m.x479 == 0)
m.c501 = Constraint(expr=m.b3*m.x479 - m.x284 == 0)
m.c502 = Constraint(expr=m.b6*m.x479 - m.x299 == 0)
m.c503 = Constraint(expr=m.b9*m.x479 - m.x314 == 0)
m.c504 = Constraint(expr=m.x144*m.x265 - m.x163 == 0)
m.c505 = Constraint(expr=m.x265*m.x426 - m.x291 == 0)
m.c506 = Constraint(expr=m.x150*m.x265 - m.x179 == 0)
m.c507 = Constraint(expr=m.x265*m.x432 - m.x306 == 0)
m.c508 = Constraint(expr=m.x156*m.x265 - m.x31 == 0)
m.c509 = Constraint(expr=m.x265*m.x438 - m.x321 == 0)
m.c510 = Constraint(expr=m.x265**2 - m.x480 == 0)
m.c511 = Constraint(expr= m.x161 - m.x480 == 0)
m.c512 = Constraint(expr=m.x144*m.x480 - m.x290 == 0)
m.c513 = Constraint(expr=m.x150*m.x480 - m.x305 == 0)
m.c514 = Constraint(expr=m.x156*m.x480 - m.x320 == 0)
m.c515 = Constraint(expr=m.x265**3 - m.x481 == 0)
m.c516 = Constraint(expr=m.b4*m.x481 - m.x289 == 0)
m.c517 = Constraint(expr=m.b7*m.x481 - m.x304 == 0)
m.c518 = Constraint(expr=m.b10*m.x481 - m.x319 == 0)
m.c519 = Constraint(expr=m.x158*m.x266 - m.x34 == 0)
m.c520 = Constraint(expr=m.x266*m.x440 - m.x326 == 0)
m.c521 = Constraint(expr=m.x164*m.x266 - m.x45 == 0)
m.c522 = Constraint(expr=m.x266*m.x446 - m.x341 == 0)
m.c523 = Constraint(expr=m.x266**2 - m.x482 == 0)
m.c524 = Constraint(expr= m.x33 - m.x482 == 0)
m.c525 = Constraint(expr=m.x158*m.x482 - m.x325 == 0)
m.c526 = Constraint(expr=m.x164*m.x482 - m.x340 == 0)
m.c527 = Constraint(expr=m.x266**3 - m.x483 == 0)
m.c528 = Constraint(expr=m.b11*m.x483 - m.x324 == 0)
m.c529 = Constraint(expr=m.b14*m.x483 - m.x339 == 0)
m.c530 = Constraint(expr=m.x160*m.x267 - m.x39 == 0)
m.c531 = Constraint(expr=m.x267*m.x442 - m.x331 == 0)
m.c532 = Constraint(expr=m.x166*m.x267 - m.x49 == 0)
m.c533 = Constraint(expr=m.x267*m.x448 - m.x343 == 0)
m.c534 = Constraint(expr=m.x267**2 - m.x484 == 0)
m.c535 = Constraint(expr= m.x38 - m.x484 == 0)
m.c536 = Constraint(expr=m.x160*m.x484 - m.x330 == 0)
m.c537 = Constraint(expr=m.x166*m.x484 - m.x347 == 0)
m.c538 = Constraint(expr=m.x267**3 - m.x485 == 0)
m.c539 = Constraint(expr=m.b12*m.x485 - m.x329 == 0)
m.c540 = Constraint(expr=m.b15*m.x485 - m.x346 == 0)
m.c541 = Constraint(expr=m.x162*m.x268 - m.x41 == 0)
m.c542 = Constraint(expr=m.x268*m.x444 - m.x336 == 0)
m.c543 = Constraint(expr=m.x168*m.x268 - m.x51 == 0)
m.c544 = Constraint(expr=m.x268*m.x450 - m.x351 == 0)
m.c545 = Constraint(expr=m.x268**2 - m.x486 == 0)
m.c546 = Constraint(expr= m.x43 - m.x486 == 0)
m.c547 = Constraint(expr=m.x162*m.x486 - m.x335 == 0)
m.c548 = Constraint(expr=m.x168*m.x486 - m.x350 == 0)
m.c549 = Constraint(expr=m.x268**3 - m.x487 == 0)
m.c550 = Constraint(expr=m.b13*m.x487 - m.x334 == 0)
m.c551 = Constraint(expr=m.b16*m.x487 - m.x349 == 0)
m.c552 = Constraint(expr=m.x170*m.x269 - m.x54 == 0)
m.c553 = Constraint(expr=m.x269*m.x452 - m.x356 == 0)
m.c554 = Constraint(expr=m.x176*m.x269 - m.x66 == 0)
m.c555 = Constraint(expr=m.x269*m.x458 - m.x371 == 0)
m.c556 = Constraint(expr=m.x269**2 - m.x488 == 0)
m.c557 = Constraint(expr= m.x55 - m.x488 == 0)
m.c558 = Constraint(expr=m.x170*m.x488 - m.x355 == 0)
m.c559 = Constraint(expr=m.x176*m.x488 - m.x370 == 0)
m.c560 = Constraint(expr=m.x269**3 - m.x489 == 0)
m.c561 = Constraint(expr=m.b17*m.x489 - m.x354 == 0)
m.c562 = Constraint(expr=m.b20*m.x489 - m.x369 == 0)
m.c563 = Constraint(expr=m.x172*m.x270 - m.x59 == 0)
m.c564 = Constraint(expr=m.x270*m.x454 - m.x361 == 0)
m.c565 = Constraint(expr=m.x178*m.x270 - m.x70 == 0)
m.c566 = Constraint(expr=m.x270*m.x460 - m.x376 == 0)
m.c567 = Constraint(expr=m.x270**2 - m.x490 == 0)
m.c568 = Constraint(expr= m.x60 - m.x490 == 0)
m.c569 = Constraint(expr=m.x172*m.x490 - m.x360 == 0)
m.c570 = Constraint(expr=m.x178*m.x490 - m.x375 == 0)
m.c571 = Constraint(expr=m.x270**3 - m.x491 == 0)
m.c572 = Constraint(expr=m.b18*m.x491 - m.x359 == 0)
m.c573 = Constraint(expr=m.b21*m.x491 - m.x374 == 0)
m.c574 = Constraint(expr=m.x174*m.x271 - m.x63 == 0)
m.c575 = Constraint(expr=m.x271*m.x456 - m.x366 == 0)
m.c576 = Constraint(expr=m.x180*m.x271 - m.x72 == 0)
m.c577 = Constraint(expr=m.x271*m.x462 - m.x381 == 0)
m.c578 = Constraint(expr=m.x271**2 - m.x492 == 0)
m.c579 = Constraint(expr= m.x62 - m.x492 == 0)
m.c580 = Constraint(expr=m.x174*m.x492 - m.x365 == 0)
m.c581 = Constraint(expr=m.x180*m.x492 - m.x380 == 0)
m.c582 = Constraint(expr=m.x271**3 - m.x493 == 0)
m.c583 = Constraint(expr=m.b19*m.x493 - m.x364 == 0)
m.c584 = Constraint(expr=m.b22*m.x493 - m.x379 == 0)
m.c585 = Constraint(expr=m.x182*m.x272 - m.x75 == 0)
m.c586 = Constraint(expr=m.x272*m.x464 - m.x386 == 0)
m.c587 = Constraint(expr=m.x188*m.x272 - m.x88 == 0)
m.c588 = Constraint(expr=m.x272*m.x470 - m.x401 == 0)
m.c589 = Constraint(expr=m.x272**2 - m.x494 == 0)
m.c590 = Constraint(expr= m.x77 - m.x494 == 0)
m.c591 = Constraint(expr=m.x182*m.x494 - m.x385 == 0)
m.c592 = Constraint(expr=m.x188*m.x494 - m.x400 == 0)
m.c593 = Constraint(expr=m.x272**3 - m.x495 == 0)
m.c594 = Constraint(expr=m.b23*m.x495 - m.x384 == 0)
m.c595 = Constraint(expr=m.b26*m.x495 - m.x399 == 0)
m.c596 = Constraint(expr=m.x184*m.x273 - m.x79 == 0)
m.c597 = Constraint(expr=m.x273*m.x466 - m.x391 == 0)
m.c598 = Constraint(expr=m.x190*m.x273 - m.x91 == 0)
m.c599 = Constraint(expr=m.x273*m.x472 - m.x406 == 0)
m.c600 = Constraint(expr=m.x273**2 - m.x496 == 0)
m.c601 = Constraint(expr= m.x80 - m.x496 == 0)
m.c602 = Constraint(expr=m.x184*m.x496 - m.x390 == 0)
m.c603 = Constraint(expr=m.x190*m.x496 - m.x405 == 0)
m.c604 = Constraint(expr=m.x273**3 - m.x497 == 0)
m.c605 = Constraint(expr=m.b24*m.x497 - m.x389 == 0)
m.c606 = Constraint(expr=m.b27*m.x497 - m.x404 == 0)
m.c607 = Constraint(expr=m.x186*m.x274 - m.x83 == 0)
m.c608 = Constraint(expr=m.x274*m.x468 - m.x396 == 0)
m.c609 = Constraint(expr=m.x192*m.x274 - m.x93 == 0)
m.c610 = Constraint(expr=m.x274*m.x474 - m.x411 == 0)
m.c611 = Constraint(expr=m.x274**2 - m.x498 == 0)
m.c612 = Constraint(expr= m.x84 - m.x498 == 0)
m.c613 = Constraint(expr=m.x186*m.x498 - m.x395 == 0)
m.c614 = Constraint(expr=m.x192*m.x498 - m.x410 == 0)
m.c615 = Constraint(expr=m.x274**3 - m.x499 == 0)
m.c616 = Constraint(expr=m.b25*m.x499 - m.x394 == 0)
m.c617 = Constraint(expr=m.b28*m.x499 - m.x409 == 0)
| 38.381299 | 117 | 0.65222 | 12,645 | 68,549 | 3.535706 | 0.101938 | 0.039545 | 0.147487 | 0.210696 | 0.619942 | 0.48715 | 0.463777 | 0.45823 | 0.427856 | 0.16292 | 0 | 0.235626 | 0.135086 | 68,549 | 1,785 | 118 | 38.402801 | 0.51846 | 0.00992 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.000873 | 0 | 0.000873 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
0bbb896c1f766d40e02d03530e5012bd42f6b56e | 660 | py | Python | app/schemas/treatment_type.py | DzhonPetrus/Treatment-Management | 6b08c59d2d4e79181bbae4e951b7a5fd2e3162f1 | [
"MIT"
] | null | null | null | app/schemas/treatment_type.py | DzhonPetrus/Treatment-Management | 6b08c59d2d4e79181bbae4e951b7a5fd2e3162f1 | [
"MIT"
] | null | null | null | app/schemas/treatment_type.py | DzhonPetrus/Treatment-Management | 6b08c59d2d4e79181bbae4e951b7a5fd2e3162f1 | [
"MIT"
] | null | null | null | from datetime import datetime as dt
from typing import Optional, List
from pydantic import BaseModel
from ..utils.schemaHelper import Base, as_form
class TreatmentTypeBase(Base):
name: str
room: str
description: str
fee: float
is_active: Optional[str] = None
@as_form
class CreateTreatmentType(TreatmentTypeBase):
pass
class TreatmentType(TreatmentTypeBase):
id: str
created_at: Optional[dt] = None
updated_at: Optional[dt] = None
class OutTreatmentTypes(Base):
data: List[TreatmentType]
error: bool
message: str
class OutTreatmentType(Base):
data: TreatmentType
error: bool
message: str | 19.411765 | 46 | 0.721212 | 78 | 660 | 6.038462 | 0.487179 | 0.025478 | 0.046709 | 0.067941 | 0.135881 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.209091 | 660 | 34 | 47 | 19.411765 | 0.902299 | 0 | 0 | 0.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.04 | 0.16 | 0 | 0.92 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
0bc10ee1d8cb8fa794fa00533f0e4782089ee855 | 107 | py | Python | app/search/urlmap.py | Hanaasagi/Ushio | 007f8e50e68bf71a1822b09291b1236a1a37c515 | [
"MIT"
] | 5 | 2016-10-24T14:01:48.000Z | 2017-09-26T07:33:20.000Z | app/search/urlmap.py | Hanaasagi/Ushio | 007f8e50e68bf71a1822b09291b1236a1a37c515 | [
"MIT"
] | null | null | null | app/search/urlmap.py | Hanaasagi/Ushio | 007f8e50e68bf71a1822b09291b1236a1a37c515 | [
"MIT"
] | null | null | null | # -*-coding:UTF-8-*-
from handler import SearchHandler
urlpattern = (
(r'/search', SearchHandler),
)
| 13.375 | 33 | 0.654206 | 11 | 107 | 6.363636 | 0.909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011236 | 0.168224 | 107 | 7 | 34 | 15.285714 | 0.775281 | 0.168224 | 0 | 0 | 0 | 0 | 0.08046 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
e7e78d1aba44146a11b4493e469f13a8468f2449 | 420 | py | Python | nimble-newts/askgrieves/chatbot/models.py | Vthechamp22/summer-code-jam-2021 | 0a8bf1f22f6c73300891fd779da36efd8e1304c1 | [
"MIT"
] | 40 | 2020-08-02T07:38:22.000Z | 2021-07-26T01:46:50.000Z | nimble-newts/askgrieves/chatbot/models.py | Vthechamp22/summer-code-jam-2021 | 0a8bf1f22f6c73300891fd779da36efd8e1304c1 | [
"MIT"
] | 134 | 2020-07-31T12:15:45.000Z | 2020-12-13T04:42:19.000Z | nimble-newts/askgrieves/chatbot/models.py | AvianAnalyst/summer-code-jam-2020 | c5e2aeb4ce399c438a1b8aad393d9c2e9ef98a75 | [
"MIT"
] | 101 | 2020-07-31T12:00:47.000Z | 2021-11-01T09:06:58.000Z | from django.db import models
class Chatbot(models.Model):
name = models.CharField(max_length=500)
def __str__(self):
return f"name={self.name}"
class WikiArticle(models.Model):
name = models.CharField(max_length=500)
summary = models.TextField(max_length=100)
full_page = models.TextField(max_length=500)
def __str__(self):
return f"name={self.name} summary={self.summary}"
| 23.333333 | 57 | 0.7 | 57 | 420 | 4.929825 | 0.421053 | 0.128114 | 0.128114 | 0.149466 | 0.548043 | 0.548043 | 0.548043 | 0.548043 | 0.291815 | 0.291815 | 0 | 0.034783 | 0.178571 | 420 | 17 | 58 | 24.705882 | 0.77971 | 0 | 0 | 0.363636 | 0 | 0 | 0.130952 | 0.052381 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.090909 | 0.181818 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
e7ed80b597ccfb79e5e0d84b01e14970f4384658 | 434 | py | Python | day22/day22.py | norbert-e-horn/adventofcode-2017 | 81a6a8eb6f23f2191786d1ea8b2aad1f54d9c12a | [
"Apache-2.0"
] | null | null | null | day22/day22.py | norbert-e-horn/adventofcode-2017 | 81a6a8eb6f23f2191786d1ea8b2aad1f54d9c12a | [
"Apache-2.0"
] | null | null | null | day22/day22.py | norbert-e-horn/adventofcode-2017 | 81a6a8eb6f23f2191786d1ea8b2aad1f54d9c12a | [
"Apache-2.0"
] | null | null | null | import sys
c=[[2if a=="#"else 0for a in i]for i in sys.argv[1].split("\n")]
n=len(c)
def m(x):
d[0]=(d[0]+a[d[1]]+3)%4
a[d[1]]=(x+a[d[1]])%4
if a[d[1]]==2:d[2]+=1
d[1]+=(s+(1-s)*(d[0]&1))*(-1+2*(d[0]&1^(d[0]&2)>>1))
s=1001
a=[]
k=(s-n)//2
for i in range(s):a+=[0]*k+c[i-k]+k*[0]if k<=i<(s+n)/2else[0]*s
b=list(a)
d=[0,s**2//2,0]
for i in range(10000):m(2)
print(d[2])
a=b
d=[0,s**2//2,0]
for i in range(10000000):m(1)
print(d[2])
| 20.666667 | 64 | 0.495392 | 131 | 434 | 1.641221 | 0.259542 | 0.065116 | 0.111628 | 0.153488 | 0.15814 | 0.15814 | 0.15814 | 0.15814 | 0.15814 | 0.15814 | 0 | 0.154242 | 0.103687 | 434 | 20 | 65 | 21.7 | 0.398458 | 0 | 0 | 0.2 | 0 | 0 | 0.006912 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.05 | 0 | 0.1 | 0.1 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
e7f06cecae55d479e6604b53a295b76a9bdf0276 | 5,005 | py | Python | backend/tests/unit/protocols/application/test_lists.py | pez-globo/pufferfish-software | b42fecd652731dd80fbe366e95983503fced37a4 | [
"Apache-2.0"
] | 1 | 2020-10-20T23:47:23.000Z | 2020-10-20T23:47:23.000Z | backend/tests/unit/protocols/application/test_lists.py | pez-globo/pufferfish-software | b42fecd652731dd80fbe366e95983503fced37a4 | [
"Apache-2.0"
] | 242 | 2020-10-23T06:44:01.000Z | 2022-01-28T05:50:45.000Z | backend/tests/unit/protocols/application/test_lists.py | pez-globo/pufferfish-vent-software | f1e5e47acf1941e7c729adb750b85bf26c38b274 | [
"Apache-2.0"
] | 1 | 2021-04-12T02:10:18.000Z | 2021-04-12T02:10:18.000Z | """Test the functionality of protocols.application.states classes."""
from ventserver.protocols.application import lists
from ventserver.protocols.protobuf import mcu_pb as pb
def test_send_new_elements() -> None:
"""Test adding new elements to a list for sending."""
example_sequence = [
lists.UpdateEvent(new_elements=[pb.LogEvent(id=i)])
for i in range(20)
]
synchronizer = lists.SendSynchronizer(
segment_type=pb.NextLogEvents,
max_len=10, max_segment_len=5
)
assert synchronizer.output() is None
for update_event in example_sequence:
synchronizer.input(update_event)
assert synchronizer.output() is None
# The first 10 events should've been discarded
for next_expected in range(10):
synchronizer.input(lists.UpdateEvent(next_expected=next_expected))
output = synchronizer.output()
assert isinstance(output, pb.NextLogEvents)
assert output.next_expected == next_expected
assert output.total == 10
assert output.remaining == 10
for (i, event) in enumerate(output.elements):
assert event.id == 10 + i
# Segments should be returned as requested
for next_expected in range(10, 20):
synchronizer.input(lists.UpdateEvent(next_expected=next_expected))
output = synchronizer.output()
assert isinstance(output, pb.NextLogEvents)
assert output.next_expected == next_expected
assert output.total == 10
assert output.remaining == 10 - (next_expected - 10)
for (i, event) in enumerate(output.elements):
assert event.id == next_expected + i
if next_expected <= 15:
assert len(output.elements) == 5
else:
assert len(output.elements) == 5 - (next_expected - 15)
# New elements should be in the segment resulting from a repeated request
assert synchronizer.output() is None
synchronizer.input(lists.UpdateEvent(
new_elements=[pb.LogEvent(id=20)], next_expected=19
))
output = synchronizer.output()
assert isinstance(output, pb.NextLogEvents)
assert output.next_expected == 19
assert output.total == 10
assert output.remaining == 2
for (i, event) in enumerate(output.elements):
assert event.id == 19 + i
assert len(output.elements) == 2
# TODO: add a test where we send all events, then reset expected event to 0.
# All events should be sent again.
def test_receive_new_elements() -> None:
"""Test adding new elements to a list from receiving."""
example_sequence = [
pb.NextLogEvents(
session_id=0, elements=[pb.LogEvent(id=i) for i in range(0, 5)]
),
pb.NextLogEvents(
session_id=0, elements=[pb.LogEvent(id=i) for i in range(5, 10)]
),
pb.NextLogEvents(
session_id=0, elements=[pb.LogEvent(id=i) for i in range(7, 11)]
),
pb.NextLogEvents(
session_id=0, elements=[pb.LogEvent(id=i) for i in range(0, 4)]
),
pb.NextLogEvents(session_id=1),
pb.NextLogEvents(
session_id=1, elements=[pb.LogEvent(id=i) for i in range(0, 4)]
),
]
synchronizer: lists.ReceiveSynchronizer[pb.LogEvent] = \
lists.ReceiveSynchronizer()
assert synchronizer.output() is None
for segment in example_sequence:
synchronizer.input(segment)
update_event = synchronizer.output()
assert update_event is not None
assert update_event.session_id == 0
assert update_event.next_expected == 5
assert len(update_event.new_elements) == 5
for (i, element) in enumerate(update_event.new_elements):
assert element.id == i
update_event = synchronizer.output()
assert update_event is not None
assert update_event.session_id == 0
assert update_event.next_expected == 10
assert len(update_event.new_elements) == 5
for (i, element) in enumerate(update_event.new_elements):
assert element.id == 5 + i
update_event = synchronizer.output()
assert update_event is not None
assert update_event.session_id == 0
assert update_event.next_expected == 11
assert len(update_event.new_elements) == 1
assert update_event.new_elements[0].id == 10
update_event = synchronizer.output()
assert update_event is not None
assert update_event.session_id == 0
assert update_event.next_expected == 11
assert len(update_event.new_elements) == 0
update_event = synchronizer.output()
assert update_event is not None
assert update_event.session_id == 1
assert update_event.next_expected == 0
assert len(update_event.new_elements) == 0
update_event = synchronizer.output()
assert update_event is not None
assert update_event.session_id == 1
assert update_event.next_expected == 4
assert len(update_event.new_elements) == 4
for (i, element) in enumerate(update_event.new_elements):
assert element.id == i
| 36.532847 | 77 | 0.675524 | 653 | 5,005 | 5.029096 | 0.145482 | 0.120585 | 0.098356 | 0.066991 | 0.762485 | 0.686663 | 0.642509 | 0.612667 | 0.612667 | 0.602923 | 0 | 0.022627 | 0.231768 | 5,005 | 136 | 78 | 36.801471 | 0.831469 | 0.085714 | 0 | 0.554545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007353 | 0.454545 | 1 | 0.018182 | false | 0 | 0.018182 | 0 | 0.036364 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
e7f7aa1ed993e5ba94893e2ddce56e42c0e3c43a | 586 | py | Python | java/test/src/main/resources/test_cross_language_invocation.py | hershg/ray | a1744f67fe954d8408c5b84e28ecccc130157f8e | [
"Apache-2.0"
] | 2 | 2017-12-15T19:36:55.000Z | 2019-02-24T16:56:06.000Z | java/test/src/main/resources/test_cross_language_invocation.py | hershg/ray | a1744f67fe954d8408c5b84e28ecccc130157f8e | [
"Apache-2.0"
] | 4 | 2019-03-04T13:03:24.000Z | 2019-06-06T11:25:07.000Z | java/test/src/main/resources/test_cross_language_invocation.py | hershg/ray | a1744f67fe954d8408c5b84e28ecccc130157f8e | [
"Apache-2.0"
] | 2 | 2017-10-31T23:20:07.000Z | 2019-11-13T20:16:03.000Z | # This file is used by CrossLanguageInvocationTest.java to test cross-language
# invocation.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import six
import ray
@ray.remote
def py_func(value):
assert isinstance(value, bytes)
return b"Response from Python: " + value
@ray.remote
class Counter(object):
def __init__(self, value):
self.value = int(value)
def increase(self, delta):
self.value += int(delta)
return str(self.value).encode("utf-8") if six.PY3 else str(self.value)
| 21.703704 | 78 | 0.723549 | 81 | 586 | 5 | 0.592593 | 0.111111 | 0.118519 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004202 | 0.187713 | 586 | 26 | 79 | 22.538462 | 0.846639 | 0.150171 | 0 | 0.125 | 0 | 0 | 0.054545 | 0 | 0 | 0 | 0 | 0 | 0.0625 | 1 | 0.1875 | false | 0 | 0.3125 | 0 | 0.6875 | 0.0625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
f009b3d518e1b8520f28ad27fc966139292e346f | 15,818 | py | Python | robotpy_build/hooks_datacfg.py | ConnectionMaster/robotpy-build | 9571a84fdd6268be5e945b31ea8929d84355071a | [
"BSD-3-Clause"
] | null | null | null | robotpy_build/hooks_datacfg.py | ConnectionMaster/robotpy-build | 9571a84fdd6268be5e945b31ea8929d84355071a | [
"BSD-3-Clause"
] | null | null | null | robotpy_build/hooks_datacfg.py | ConnectionMaster/robotpy-build | 9571a84fdd6268be5e945b31ea8929d84355071a | [
"BSD-3-Clause"
] | null | null | null | #
# Defines data that is consumed by the header2whatever hooks/templates
# to modify the generated files
#
import enum
from typing import Dict, List, Tuple, Optional
from pydantic import validator
from .util import Model, _generating_documentation
class ParamData(Model):
"""Various ways to modify parameters"""
#: Set parameter name to this
name: Optional[str] = None
#: Change C++ type emitted
x_type: Optional[str] = None
#: Default value for parameter
default: Optional[str] = None
#: Disables a default cast caused by ``default_arg_cast``
disable_type_caster_default_cast: bool = False
#: Force this to be an 'out' parameter
#:
#: .. seealso:: :ref:`autowrap_out_params`
#:
force_out: bool = False
#: Force an array size
array_size: Optional[int] = None
#: Ignore this parameter
ignore: bool = False
class BufferType(str, enum.Enum):
#: The buffer must indicate that it is readable (such as bytes, or bytearray)
IN = "in"
#: The buffer must indicate that it is writeable (such as a bytearray)
OUT = "out"
#: The buffer must indicate that it readable or writeable (such as a bytearray)
INOUT = "inout"
class BufferData(Model):
#: Indicates what type of python buffer is required
type: BufferType
#: Name of C++ parameter that the buffer will use
src: str
#: Name of the C++ length parameter. An out-only parameter, it will be set
#: to the size of the python buffer, and will be returned so the caller can
#: determine how many bytes were written
len: str
#: If specified, the minimum size of the python buffer
minsz: Optional[int] = None
class ReturnValuePolicy(enum.Enum):
"""
See `pybind11 documentation <https://pybind11.readthedocs.io/en/stable/advanced/functions.html#return-value-policies>`_
for what each of these values mean.
"""
TAKE_OWNERSHIP = "take_ownership"
COPY = "copy"
MOVE = "move"
REFERENCE = "reference"
REFERENCE_INTERNAL = "reference_internal"
AUTOMATIC = "automatic"
AUTOMATIC_REFERENCE = "automatic_reference"
class FunctionData(Model):
"""
Customize the way the autogenerator binds a function.
.. code-block:: yaml
functions:
# for non-overloaded functions, just specify the name + customizations
name_of_non_overloaded_fn:
# add customizations for function here
# For overloaded functions, specify the name, but each overload
# separately
my_overloaded_fn:
overloads:
int, int:
# customizations for `my_overloaded_fn(int, int)`
int, int, int:
# customizations for `my_overloaded_fn(int, int, int)`
"""
#: If True, don't wrap this
ignore: bool = False
#: If True, don't wrap this, but provide a pure virtual implementation
ignore_pure: bool = False
#: Generate this in an `#ifdef`
ifdef: Optional[str] = None
#: Generate this in an `#ifndef`
ifndef: Optional[str] = None
#: Use this code instead of the generated code
cpp_code: Optional[str] = None
#: Docstring for the function, will attempt to convert Doxygen docs if omitted
doc: Optional[str] = None
#: Text to append to the (autoconverted) docstring for the function
doc_append: Optional[str] = None
#: If True, prepends an underscore to the python name
internal: bool = False
#: Use this to set the name of the function as exposed to python
rename: Optional[str] = None
#: Mechanism to override individual parameters
param_override: Dict[str, ParamData] = {}
#: If specified, put the function in a sub.pack.age
subpackage: Optional[str] = None
#: By default, robotpy-build will release the GIL whenever a wrapped
#: function is called.
no_release_gil: Optional[bool] = None
buffers: List[BufferData] = []
overloads: Dict[str, "FunctionData"] = {}
#: Adds py::keep_alive<x,y> to the function. Overrides automatic
#: keepalive support, which retains references passed to constructors.
#: https://pybind11.readthedocs.io/en/stable/advanced/functions.html#keep-alive
keepalive: Optional[List[Tuple[int, int]]] = None
#: https://pybind11.readthedocs.io/en/stable/advanced/functions.html#return-value-policies
return_value_policy: ReturnValuePolicy = ReturnValuePolicy.AUTOMATIC
#: If this is a function template, this is a list of instantiations
#: that you wish to provide. This is a list of lists, where the inner
#: list is the template parameters for that function
template_impls: Optional[List[List[str]]] = None
#: Specify a transformation lambda to be used when this virtual function
#: is called from C++. This inline code should be a lambda that has the same
#: arguments as the original C++ virtual function, except the first argument
#: will be a py::function with the python overload
#:
#: cpp_code should also be specified for this to be useful
#:
#: For example, to transform a function that takes an iostream into a function
#: that returns a string:
#:
#: .. code-block:: yaml
#:
#: cpp_code: |
#: [](MyClass* self) {
#: return "string";
#: }
#: virtual_xform: |
#: [](py::function fn, MyClass* self, std::iostream &is) {
#: std::string d = py::cast(fn());
#: is << d;
#: }
#:
virtual_xform: Optional[str] = None
@validator("overloads", pre=True)
def validate_overloads(cls, value):
for k, v in value.items():
if v is None:
value[k] = FunctionData()
return value
if not _generating_documentation:
FunctionData.update_forward_refs()
class PropAccess(enum.Enum):
#: Determine read/read-write automatically:
#:
#: * If a struct/union, default to readwrite
#: * If a class, default to readwrite if a basic type that isn't a
#: reference, otherwise default to readonly
AUTOMATIC = "auto"
#: Allow python users access to the value, but ensure it can't
#: change. This is useful for properties that are defined directly
#: in the class
READONLY = "readonly"
#: Allows python users to read/write the value
READWRITE = "readwrite"
class PropData(Model):
#: If set to True, this property is not made available to python
ignore: bool = False
#: Set the python name of this property to the specified string
rename: Optional[str]
#: Python code access to this property
access: PropAccess = PropAccess.AUTOMATIC
#: Docstring for the property (only available on class properties)
doc: Optional[str] = None
#: Text to append to the (autoconverted) docstring
doc_append: Optional[str] = None
class EnumValue(Model):
#: If set to True, this property is not made available to python
ignore: bool = False
#: Set the python name of this enum value to the specified string
rename: Optional[str] = None
#: Docstring for the enum value
doc: Optional[str] = None
#: Text to append to the (autoconverted) docstring
doc_append: Optional[str] = None
class EnumData(Model):
#: Set your own docstring for the enum
doc: Optional[str] = None
#: Text to append to the (autoconverted) docstring
doc_append: Optional[str] = None
#: If set to True, this property is not made available to python
ignore: bool = False
#: Set the python name of this enum to the specified string
rename: Optional[str] = None
value_prefix: Optional[str] = None
#: If specified, put the enum in a sub.pack.age (ignored for
#: enums that are part of classes)
subpackage: Optional[str] = None
values: Dict[str, EnumValue] = {}
class ClassData(Model):
#: Docstring for the class
doc: Optional[str] = None
#: Text to append to the (autoconverted) docstring
doc_append: Optional[str] = None
ignore: bool = False
ignored_bases: List[str] = []
#: Specify fully qualified names for the bases
base_qualnames: Dict[str, str] = {}
attributes: Dict[str, PropData] = {}
enums: Dict[str, EnumData] = {}
methods: Dict[str, FunctionData] = {}
is_polymorphic: bool = False
force_no_trampoline: bool = False
force_no_default_constructor: bool = False
#: pybind11 will detect multiple inheritance automatically if a
#: class directly derives from multiple classes. However,
#: If the class derives from classes that participate in multiple
#: inheritance, pybind11 won't detect it automatically, so this
#: flag is needed.
force_multiple_inheritance: bool = False
#: If there are circular dependencies, this will help you resolve them
#: manually. TODO: make it so we don't need this
force_depends: List[str] = []
#: Use this to bring in type casters for a particular type that may have
#: been hidden (for example, with a typedef or definition in another file),
#: instead of explicitly including the header. This should be the full
#: namespace of the type.
force_type_casters: List[str] = []
#: If the object shouldn't be deleted by pybind11, use this. Disables
#: implicit constructors.
nodelete: bool = False
#: Set the python name of the class to this
rename: Optional[str] = None
#: This is deprecated and has no effect
shared_ptr: bool = True
#: If specified, put the class in a sub.pack.age. Ignored
#: for functions attached to a class. When template parameters
#: are used, must define subpackage on template instances
#: instead
subpackage: Optional[str] = None
#: Extra 'using' directives to insert into the trampoline and the
#: wrapping scope
typealias: List[str] = []
#: Extra constexpr to insert into the trampoline and wrapping scopes
constants: List[str] = []
#: If this is a template class, a list of the parameters if it can't
#: be autodetected (currently can't autodetect). If there is no space
#: in the parameter, then it is assumed to be a 'typename', otherwise
#: the parameter is split by space and the first item is the type and
#: the second parameter is the name (useful for integral templates)
template_params: Optional[List[str]] = None
#: If this is a template class, the specified C++ code is inserted
#: into the template definition
template_inline_code: str = ""
#: If this class has an associated trampoline, add this code inline at
#: the bottom of the trampoline class. This is rarely useful.
trampoline_inline_code: Optional[str] = None
@validator("attributes", pre=True)
def validate_attributes(cls, value):
for k, v in value.items():
if v is None:
value[k] = PropData()
return value
@validator("enums", pre=True)
def validate_enums(cls, value):
for k, v in value.items():
if v is None:
value[k] = EnumData()
return value
@validator("methods", pre=True)
def validate_methods(cls, value):
for k, v in value.items():
if v is None:
value[k] = FunctionData()
return value
class TemplateData(Model):
"""
Instantiates a template as a python type. To customize the class,
add it to the ``classes`` key and specify the template type.
Code to be wrapped:
.. code-block:: c++
template <typename T>
class MyClass {};
To bind ``MyClass<int>`` as the python class ``MyIntClass``, add this
to your YAML:
.. code-block:: yaml
classes:
MyClass:
template_params:
- T
templates:
MyIntClass:
qualname: MyClass
params:
- int
"""
#: Fully qualified name of instantiated class
qualname: str
#: Template parameters to use
params: List[str]
#: If specified, put the template instantiation in a sub.pack.age
subpackage: Optional[str] = None
#: Set the docstring for the template instance
doc: Optional[str] = None
#: Text to append to the (autoconverted) docstring for the template instance
doc_append: Optional[str] = None
class HooksDataYaml(Model):
"""
Format of the file in [tool.robotpy-build.wrappers."PACKAGENAME"]
generation_data
"""
strip_prefixes: List[str] = []
#: Adds ``#include <FILENAME>`` directives to the top of the autogenerated
#: C++ file, after autodetected include dependencies are inserted.
extra_includes: List[str] = []
#: Adds ``#include <FILENAME>`` directives after robotpy_build.h is
#: included, but before any autodetected include dependencies. Only use
#: this when dealing with broken headers.
extra_includes_first: List[str] = []
#: Specify raw C++ code that will be inserted at the end of the
#: autogenerated file, inside a function. This is useful for extending
#: your classes or providing other customizations. The following C++
#: variables are available:
#:
#: * ``m`` is the ``py::module`` instance
#: * ``cls_CLASSNAME`` are ``py::class`` instances
#: * ... lots of other things too
#:
#: The trampoline class (useful for accessing protected items) is available
#: at ``{CLASSNAME}_Trampoline``
#:
#: To see the full list, run a build and look at the generated code at
#: ``build/*/gensrc/**/*.cpp``
#:
#: Recommend that you use the YAML multiline syntax to specify it:
#:
#: .. code-block:: yaml
#:
#: inline_code: |
#: cls_CLASSNAME.def("get42", []() { return 42; });
inline_code: Optional[str] = None
#: Key is the attribute (variable) name
#:
#: .. code-block:: yaml
#:
#: attributes:
#: my_variable:
#: # customizations here, see PropData
#:
attributes: Dict[str, PropData] = {}
#: Key is the class name
#:
#: .. code-block:: yaml
#:
#: classes:
#: CLASSNAME:
#: # customizations here, see ClassData
#:
classes: Dict[str, ClassData] = {}
#: Key is the function name
#:
#: .. code-block:: yaml
#:
#: functions:
#: fn_name:
#: # customizations here, see FunctionData
#:
functions: Dict[str, FunctionData] = {}
#: Key is the enum name, for enums at global scope
#:
#: .. code-block:: yaml
#:
#: enums:
#: MyEnum:
#: # customizations here, see EnumData
#:
enums: Dict[str, EnumData] = {}
#: Instantiates a template. Key is the name to give to the Python type.
#:
#: .. code-block:: yaml
#:
#: templates:
#: ClassName:
#: # customizations here, see TemplateData
#:
templates: Dict[str, TemplateData] = {}
@validator("attributes", pre=True)
def validate_attributes(cls, value):
for k, v in value.items():
if v is None:
value[k] = PropData()
return value
@validator("classes", pre=True)
def validate_classes(cls, value):
for k, v in value.items():
if v is None:
value[k] = ClassData()
return value
@validator("enums", pre=True)
def validate_enums(cls, value):
for k, v in value.items():
if v is None:
value[k] = EnumData()
return value
@validator("functions", pre=True)
def validate_functions(cls, value):
for k, v in value.items():
if v is None:
value[k] = FunctionData()
return value
| 29.845283 | 123 | 0.637249 | 2,012 | 15,818 | 4.962724 | 0.219185 | 0.022434 | 0.045068 | 0.014422 | 0.262394 | 0.241362 | 0.203105 | 0.186279 | 0.178067 | 0.164947 | 0 | 0.001639 | 0.267101 | 15,818 | 529 | 124 | 29.901701 | 0.859657 | 0.566886 | 0 | 0.428571 | 1 | 0 | 0.028204 | 0 | 0 | 0 | 0 | 0.00189 | 0 | 1 | 0.049689 | false | 0 | 0.024845 | 0 | 0.78882 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
f012b80503a597191471f367c16412e1f714452d | 2,396 | py | Python | new_corpus/_sympy.py | y-akinobu/multiese | e28e6424b9714c5f145f438c8502c4194b70fe25 | [
"MIT"
] | null | null | null | new_corpus/_sympy.py | y-akinobu/multiese | e28e6424b9714c5f145f438c8502c4194b70fe25 | [
"MIT"
] | null | null | null | new_corpus/_sympy.py | y-akinobu/multiese | e28e6424b9714c5f145f438c8502c4194b70fe25 | [
"MIT"
] | null | null | null | import sympy
'''
@test($$;type(sympy))
@alt(シンボル|記号|変数)
@alt(数式として、|)
[代数計算|シンボル計算|数式処理][|ライブラリ]を使う
'''
s = 'z'
sympy.symbol(s)
'''
@test(sympy=missing;$$)
数式として、sをシンボルに変換する
'''
z = sympy.symbol(s)
'''
@test(sympy=missing;$$;z)
@prefix(z;[変数|式])
数式として、sを[シンボル|変数][に|化]して、zにする
'''
e = e2 = sympy.symbol(s)
n = 2
e.subs(z, n)
'''
@test(e=missing;e2='e2';z='x';$$)
@prefix(e;式)
数式として、eのzにnを代入する
'''
e.subs(z, e2)
'''
@test(e=missing;e2='e2';z='x';$$)
数式として、eのzにe2を代入する
数式として、eのzをe2で置き換える
'''
sympy.expand(e)
'''
@test(sympy=missing;e='e';$$)
数式として、eを展開する
数式として、eの展開を行う
'''
sympy.factor(e)
'''
@test(sympy=missing;e='e';$$)
数式として、eを因数分解する
数式として、eの因数分解を行う
'''
sympy.sympify(e)
'''
@test(sympy=missing;e='e';$$)
数式として、eを簡単[に|化]する
数式として、eを簡略[に|化]する
数式として、eの簡[略|単]化を行う
'''
sympy.apart(e)
'''
@test(sympy=missing;e='e';$$)
数式として、eを部分分数[に|として]展開する
数式として、eの部分分数化を行う
'''
sympy.solve(e)
'''
@test(sympy=missing;e='e';$$)
数式として、方程e[=0|][を解く|の解を求める]
'''
sympy.solve(e, z)
'''
@test(sympy=missing;e='e';z='x';$$)
数式として、方程e[=0|]のzの解を求める
'''
sympy.solve([e, e2])
'''
@test(sympy=missing;e='e';e2='e2';$$)
数式として、連立方程e[=0|], e2[|=0]の解を求める
'''
sympy.limit(e, z, 0)
'''
@test(sympy=missing;e='e';z='x';$$)
@alt(とき|時|場合|際)
zが0に近づくとき[の|、]eの極限値を求める
'''
sympy.limit(e, z, oo)
'''
@test(sympy=missing;e='e';z='x';oo='oo';$$)
zが無限大に近づくとき[の|、]eの極限値を求める
'''
sympy.limit(e, z, -oo)
'''
@test(sympy=missing;e='e';z='x';oo=0;$$)
zがマイナス無限大に近づくとき[の|、]eの極限値を求める
'''
sympy.diff(e)
'''
@test(sympy=missing;e='e';z='x';$$)
数式として、eを微分する
数式として、eの微分を求める
'''
sympy.diff(e, z)
'''
@test(sympy=missing;e='e';z='x';$$)
数式として、zについてeの微分を[行う|求める]
数式として、eのzを微分する
'''
sympy.diff(e, z, n)
'''
@test(sympy=missing;e='e';z='x';$$)
数式として、{eを|zについて}n階微分する
数式として、eの[zについての|]n階微分を[求める|行う]
'''
sympy.integrate(e)
'''
@test(sympy=missing;e='e';z='x';$$)
数式として、eを積分する
数式として、eの[積分|インテグラル]を[求める|行う]
'''
sympy.integrate(e, z)
'''
@test(sympy=missing;e='e';z='x';$$)
数式として、zについてeを積分する
数式として、zについてeの[積分|インテグラル]を[求める|行う]
'''
float(e)
'''
@test(sympy=missing;e='3.14159';z='x';$$)
数式として、eの数値[を求める|]
数式として、eを数値計算する
数式として、eを[数値|浮動小数点数]に変換する
'''
__X__ = e
sympy.sqrt(__X__)
'''
@test(sympy=missing;e='e';z='x';$$)
@X(e;z)
@Y(e;z)
数式として、__Y__の平方根を求める
'''
# sympy.E**(sympy.I * sympy.pi) == -1
# '''
# 数式として、オイラーの等式を使う
# '''
# sympy.summation(e, (z, 1, N))
# '''
# @test(import sympy;z,N=sympy.Symbol('z N');e=z**2;$$)
# 数式として、eの総和[|を求める]
# '''
| 14.261905 | 55 | 0.604758 | 408 | 2,396 | 3.522059 | 0.269608 | 0.029228 | 0.211552 | 0.201113 | 0.418232 | 0.350731 | 0.350731 | 0.173974 | 0.156576 | 0.12039 | 0 | 0.013284 | 0.088898 | 2,396 | 167 | 56 | 14.347305 | 0.644984 | 0.070952 | 0 | 0 | 0 | 0 | 0.00207 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.038462 | 0 | 0.038462 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
f02ceba7181acc45bf9bae1d138dd71123a318a6 | 422 | py | Python | my_wallet/apiv1/permissions.py | ibolorino/wallet_backend | 20c80e419eaef6b0577ca45ff35bf4eb9501e3a3 | [
"MIT"
] | null | null | null | my_wallet/apiv1/permissions.py | ibolorino/wallet_backend | 20c80e419eaef6b0577ca45ff35bf4eb9501e3a3 | [
"MIT"
] | null | null | null | my_wallet/apiv1/permissions.py | ibolorino/wallet_backend | 20c80e419eaef6b0577ca45ff35bf4eb9501e3a3 | [
"MIT"
] | null | null | null | from rest_framework import permissions
class IsAadminOrReadOnly(permissions.BasePermission):
"""
The request is authenticated as a admin, or is a read-only request.
"""
def has_permission(self, request, view):
return bool(
(request.user and request.user.is_authenticated and request.method in permissions.SAFE_METHODS) or
(request.user and request.user.is_staff)
) | 35.166667 | 110 | 0.699052 | 52 | 422 | 5.576923 | 0.615385 | 0.151724 | 0.096552 | 0.144828 | 0.186207 | 0.186207 | 0 | 0 | 0 | 0 | 0 | 0 | 0.225118 | 422 | 12 | 111 | 35.166667 | 0.88685 | 0.158768 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.142857 | 0.142857 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
f03ac5d7659f10dfb37b2809abf402ff19dbec0f | 338 | py | Python | Algorithms/Problems/MaximumSubarray/tests/maximum_substring_naive_test.py | Nalhin/AlgorithmsAndDataStructures | 2d2c87d0572e107c993c3c8866b8beefd4d22082 | [
"MIT"
] | 1 | 2021-11-16T13:02:25.000Z | 2021-11-16T13:02:25.000Z | Algorithms/Problems/MaximumSubarray/tests/maximum_substring_naive_test.py | Nalhin/AlgorithmsAndDataStructures | 2d2c87d0572e107c993c3c8866b8beefd4d22082 | [
"MIT"
] | null | null | null | Algorithms/Problems/MaximumSubarray/tests/maximum_substring_naive_test.py | Nalhin/AlgorithmsAndDataStructures | 2d2c87d0572e107c993c3c8866b8beefd4d22082 | [
"MIT"
] | null | null | null | from Algorithms.Problems.MaximumSubarray.maximum_substring_naive import (
maximum_subarray_naive,
)
class TestMaximumSubarrayNaive:
def test_returns_maximum_subarray(self):
data = [1, -2, 3, 10, -5, 14]
expected = [3, 10, -5, 14]
result = maximum_subarray_naive(data)
assert result == expected
| 24.142857 | 73 | 0.683432 | 39 | 338 | 5.692308 | 0.641026 | 0.202703 | 0.18018 | 0.054054 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053232 | 0.221893 | 338 | 13 | 74 | 26 | 0.790875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 1 | 0.111111 | false | 0 | 0.111111 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
f0476c6057fe6e189aeed8a5c7b88b67234d582d | 78 | py | Python | svae/__init__.py | APodolskiy/SentenceVAE | afe82504922de700810b24638f7df0dbf1d8fa11 | [
"MIT"
] | null | null | null | svae/__init__.py | APodolskiy/SentenceVAE | afe82504922de700810b24638f7df0dbf1d8fa11 | [
"MIT"
] | null | null | null | svae/__init__.py | APodolskiy/SentenceVAE | afe82504922de700810b24638f7df0dbf1d8fa11 | [
"MIT"
] | null | null | null | import torch.nn as nn
RNN_TYPES = {
'lstm': nn.LSTM,
'gru': nn.GRU
}
| 11.142857 | 21 | 0.564103 | 13 | 78 | 3.307692 | 0.615385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.269231 | 78 | 6 | 22 | 13 | 0.754386 | 0 | 0 | 0 | 0 | 0 | 0.089744 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
f04b25d10196843175ed158d8658c6dd85f4722b | 2,009 | py | Python | src/autodoc/python/rst/base/block_quote.py | LudditeLabs/autodoc-tool | b4ae7e3b61907e7e9c3a1b534fce055e5860ffab | [
"Apache-2.0"
] | null | null | null | src/autodoc/python/rst/base/block_quote.py | LudditeLabs/autodoc-tool | b4ae7e3b61907e7e9c3a1b534fce055e5860ffab | [
"Apache-2.0"
] | null | null | null | src/autodoc/python/rst/base/block_quote.py | LudditeLabs/autodoc-tool | b4ae7e3b61907e7e9c3a1b534fce055e5860ffab | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Luddite Labs Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Block Quotes
------------
Line blocks are groups of lines beginning with vertical bar ("|") prefixes.
Each vertical bar prefix indicates a new line, so line breaks are preserved.
Initial indents are also significant, resulting in a nested structure.
Inline markup is supported. Continuation lines are wrapped portions
of long lines; they begin with a space in place of the vertical bar.
The left edge of a continuation line must be indented, but need not be aligned
with the left edge of the text above it. A line block ends with a blank line.
Syntax diagram:
+------------------------------+
| (current level of |
| indentation) |
+------------------------------+
+---------------------------+
| block quote |
| (body elements)+ |
| |
| -- attribution text |
| (optional) |
+---------------------------+
http://docutils.sourceforge.net/docs/ref/rst/restructuredtext.html#block-quotes
"""
class BlockQuoteMixin:
def visit_block_quote(self, node):
self.open_block(indent=self.options['indent'], top_margin=1,
bottom_margin=1)
def depart_block_quote(self, node):
self.close_block()
def visit_attribution(self, node):
self.block.add_text(u'-- ')
def depart_attribution(self, node):
pass
| 34.637931 | 79 | 0.621702 | 252 | 2,009 | 4.912698 | 0.59127 | 0.048465 | 0.029079 | 0.025848 | 0.035541 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006579 | 0.243405 | 2,009 | 57 | 80 | 35.245614 | 0.807895 | 0.797412 | 0 | 0 | 0 | 0 | 0.023256 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0.1 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
f04e299a6b487778e8fe610c813dd85847139172 | 529 | py | Python | tests/frontend/detector/test_fast.py | swershrimpy/gtsfm | 8d301eb3ef9172345a1ac1369fd4e19764d28946 | [
"Apache-2.0"
] | 122 | 2021-02-07T23:01:58.000Z | 2022-03-30T13:10:35.000Z | tests/frontend/detector/test_fast.py | swershrimpy/gtsfm | 8d301eb3ef9172345a1ac1369fd4e19764d28946 | [
"Apache-2.0"
] | 273 | 2021-01-30T16:45:26.000Z | 2022-03-16T15:02:33.000Z | tests/frontend/detector/test_fast.py | swershrimpy/gtsfm | 8d301eb3ef9172345a1ac1369fd4e19764d28946 | [
"Apache-2.0"
] | 13 | 2021-03-12T03:01:27.000Z | 2022-03-11T03:16:54.000Z | """Tests for frontend's FAST detector class.
Authors: Ayush Baid
"""
import unittest
import tests.frontend.detector.test_detector_base as test_detector_base
from gtsfm.frontend.detector.fast import Fast
class TestFast(test_detector_base.TestDetectorBase):
"""Test class for FAST detector class in frontend.
All unit test functions defined in TestDetectorBase are run automatically.
"""
def setUp(self):
super().setUp()
self.detector = Fast()
if __name__ == "__main__":
unittest.main()
| 22.041667 | 78 | 0.729679 | 67 | 529 | 5.552239 | 0.507463 | 0.096774 | 0.129032 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.181474 | 529 | 23 | 79 | 23 | 0.859122 | 0.351607 | 0 | 0 | 0 | 0 | 0.024845 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.333333 | 0 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
f05afdbd5aec954079117e24e6a1f75f80dba71c | 1,523 | py | Python | Consumer_test.py | image-store-org/image-store-py-web-api-consumer-test | 59d805e8a7b459a97ede7285f6e4a67e87cfba02 | [
"MIT"
] | null | null | null | Consumer_test.py | image-store-org/image-store-py-web-api-consumer-test | 59d805e8a7b459a97ede7285f6e4a67e87cfba02 | [
"MIT"
] | null | null | null | Consumer_test.py | image-store-org/image-store-py-web-api-consumer-test | 59d805e8a7b459a97ede7285f6e4a67e87cfba02 | [
"MIT"
] | null | null | null | import sys
sys.path.append('dependencies/image-store-py-web-api-consumer')
from Consumer import Consumer
class Consumer_test:
def __init__(self):
self.c = Consumer()
def get(self):
print('\x1b[6;30;42m' + 'GET' + '\x1b[0m')
print(self.c.get())
print('{}\n'.format(self.c.get().json()))
# get a data entry by id
def get_id(self, id):
print('\x1b[6;30;42m' + 'GET ID({})'.format(id) + '\x1b[0m')
print(self.c.get_id(id))
print('{}\n'.format(self.c.get_id(id).json()))
# get latest data entry
def get_latest(self):
print('\x1b[6;30;42m' + 'GET LATEST' + '\x1b[0m')
print(self.c.get_latest())
print('{}\n'.format(self.c.get_latest().json()))
# post a data entry, id incremented by internal mySQL counter
def post(self):
print('\x1b[6;30;42m' + 'POST' + '\x1b[0m')
print(self.c.post())
print('{}\n'.format(self.c.post().json()))
# TODO be able to edit payload with keywords e.g: title.TEST
# edit existing data entry by id
def put(self, id):
print('\x1b[6;30;42m' + 'PUT({})'.format(id) + '\x1b[0m')
print(self.c.put(id))
# delete data entry by id
def delete(self, id):
print('\x1b[6;30;42m' + 'DELETE({})'.format(id) + '\x1b[0m')
print(self.c.delete(id))
if __name__ == '__main__':
consumer = Consumer_test()
consumer.get()
consumer.get_id(1)
consumer.post()
consumer.get_latest()
consumer.put(10) | 30.46 | 69 | 0.570584 | 227 | 1,523 | 3.731278 | 0.255507 | 0.064935 | 0.063754 | 0.077922 | 0.447462 | 0.343566 | 0.201889 | 0 | 0 | 0 | 0 | 0.043814 | 0.235719 | 1,523 | 50 | 70 | 30.46 | 0.683849 | 0.143139 | 0 | 0 | 0 | 0 | 0.178599 | 0.033872 | 0 | 0 | 0 | 0.02 | 0 | 1 | 0.2 | false | 0 | 0.057143 | 0 | 0.285714 | 0.457143 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
f05bdaed59cf5073cab62db01710a16ba5ff7771 | 7,597 | py | Python | app/views.py | PaulMurrayCbr/GameNight | 838c19dda765027abbe8e12e331268b01cb859c2 | [
"Unlicense"
] | null | null | null | app/views.py | PaulMurrayCbr/GameNight | 838c19dda765027abbe8e12e331268b01cb859c2 | [
"Unlicense"
] | null | null | null | app/views.py | PaulMurrayCbr/GameNight | 838c19dda765027abbe8e12e331268b01cb859c2 | [
"Unlicense"
] | null | null | null | from app import app, db
from flask import render_template, flash, redirect, get_flashed_messages
import forms
import models
import Character
from flask.globals import request
from sqlalchemy.orm.exc import NoResultFound, MultipleResultsFound
def menugear() :
return {
'pcs': models.Character.query.all()
}
@app.route('/')
@app.route('/index')
def index():
return render_template('index.html', menu=menugear())
@app.route('/whiteboard')
def whiteboard():
return render_template('whiteboard.html', menu=menugear())
@app.route('/pc/<name>/')
def character(name):
try:
pc = models.Character.query.filter_by(name=name).one()
updatepc_form=forms.PC(obj=pc)
newhp_form=forms.HP()
openhpbreakdown = False
states = get_flashed_messages(category_filter=['viewstate'])
if states:
for state in states:
if state['hpopen']:
openhpbreakdown = True
return render_template('pc.html',
updatepc_form=updatepc_form,
newhp_form = newhp_form,
pc=pc,
pcinfo=Character.buildInfo(pc),
menu=menugear(),
openhpbreakdown = openhpbreakdown)
except MultipleResultsFound, e:
flash(('Found multiple characters named %s' % name, 'danger'), 'msg')
pc = None
except NoResultFound, e:
flash(('PC %s not found' % name, 'warning'), 'msg')
pc = None
return redirect('/')
@app.route('/pc/<name>/update.do', methods=['POST'])
def do_updatepc(name):
try:
pc = models.Character.query.filter_by(name=name).one()
updatepc_form=forms.PC(obj=pc)
pc.abbrev = updatepc_form.abbrev.data
pc.name = updatepc_form.name.data
pc.pname = updatepc_form.pname.data
db.session.commit()
return redirect('/pc/%s' % pc.name)
except MultipleResultsFound, e:
flash(('Found multiple characters named %s' % name, 'danger'), 'msg')
pc = None
except NoResultFound, e:
flash(('PC %s not found' % name, 'warning'), 'msg')
pc = None
return redirect('/')
@app.route('/pc/<name>/addhptype.do', methods=['POST'])
def do_addhptypepc(name):
try:
pc = models.Character.query.filter_by(name=name).one()
newhp_form=forms.HP(obj=pc)
hp = models.Hp(
character_id = pc.id,
source = newhp_form.source.data,
max = newhp_form.max.data,
current = newhp_form.max.data,
ablative_only = newhp_form.ablative_only.data
)
db.session.add(hp)
db.session.commit()
flash({'hpopen':True}, 'viewstate')
return redirect('/pc/%s' % pc.name)
except MultipleResultsFound, e:
flash(('Found multiple characters named %s' % name, 'danger'), 'msg')
pc = None
except NoResultFound, e:
flash(('PC %s not found' % name, 'warning'), 'msg')
pc = None
return redirect('/')
@app.route('/pc/<name>/hp/<id>/set.do', methods=['GET', 'POST'])
def do_sethppc(name, id):
try:
pc = models.Character.query.filter_by(name=name).one()
hp = models.Hp.query.get(id)
if not hp:
flash(("HP %s not found" % id , 'danger'), 'msg')
elif hp.character_id != pc.id:
flash(("HP %s belongs to %s" % (id, hp.character.name) , 'danger'), 'msg')
else:
v = request.args.get('v', '')
if not v or v == '':
flash(("no new value specified" , 'warning'), 'msg')
else:
try:
v = int(v)
except ValueError, e:
flash(("'%s' does not appear to be a number" % v, 'warning'), 'msg')
hp.current = v
db.session.commit()
flash(("Set current to %d" % v , 'success'), 'msg')
flash({'hpopen':True}, 'viewstate')
return redirect('/pc/%s' % pc.name)
except MultipleResultsFound, e:
flash(('Found multiple characters named %s' % name, 'danger'), 'msg')
pc = None
except NoResultFound, e:
flash(('PC %s not found' % name, 'warning'), 'msg')
pc = None
return redirect('/')
@app.route('/pc/<name>/hp/<id>/max.do', methods=['GET', 'POST'])
def do_maxhppc(name, id):
try:
pc = models.Character.query.filter_by(name=name).one()
hp = models.Hp.query.get(id)
if not hp:
flash(("HP %s not found" % id , 'danger'), 'msg')
elif hp.character_id != pc.id:
flash(("HP %s belongs to %s" % (id, hp.character.name) , 'danger'), 'msg')
else:
v = request.args.get('v', '')
if not v or v == '':
flash(("no new value specified" , 'warning'), 'msg')
else:
try:
v = int(v)
except ValueError, e:
flash(("'%s' does not appear to be a number" % v, 'warning'), 'msg')
hp.max = v
db.session.commit()
flash(("Set max to %d" % v , 'success'), 'msg')
flash({'hpopen':True}, 'viewstate')
return redirect('/pc/%s' % pc.name)
except MultipleResultsFound, e:
flash(('Found multiple characters named %s' % name, 'danger'), 'msg')
pc = None
except NoResultFound, e:
flash(('PC %s not found' % name, 'warning'), 'msg')
pc = None
return redirect('/')
@app.route('/pc/<name>/hp/<id>/add.do', methods=['GET', 'POST'])
def do_addhppc(name, id):
try:
pc = models.Character.query.filter_by(name=name).one()
hp = models.Hp.query.get(id)
if not hp:
flash(("HP %s not found" % id , 'danger'), 'msg')
elif hp.character_id != pc.id:
flash(("HP %s belongs to %s" % (id, hp.character.name) , 'danger'), 'msg')
else:
v = request.args.get('v', '')
if not v or v == '':
flash(("no new value specified" , 'warning'), 'msg')
else:
try:
v = int(v)
except ValueError, e:
flash(("'%s' does not appear to be a number" % v, 'warning'), 'msg')
hp.current += v
db.session.commit()
if v < 0:
flash(("Subtracted %d" % -v , 'success'), 'msg')
else:
flash(("Added %d" % v , 'success'), 'msg')
flash({'hpopen':True}, 'viewstate')
return redirect('/pc/%s' % pc.name)
except MultipleResultsFound, e:
flash(('Found multiple characters named %s' % name, 'danger'), 'msg')
pc = None
except NoResultFound, e:
flash(('PC %s not found' % name, 'warning'), 'msg')
pc = None
return redirect('/')
@app.route('/pc/<name>/hp/<id>/zap.do', methods=['GET', 'POST'])
def do_zaphppc(name, id):
try:
pc = models.Character.query.filter_by(name=name).one()
hp = models.Hp.query.get(id)
if not hp:
flash(("HP %s not found" % id , 'danger'), 'msg')
elif hp.character_id != pc.id:
flash(("HP %s belongs to %s" % (id, hp.character.name) , 'danger'), 'msg')
else:
db.session.delete(hp)
db.session.commit()
flash(("Deleted" , 'success'), 'msg')
flash({'hpopen':True}, 'viewstate')
return redirect('/pc/%s' % pc.name)
except MultipleResultsFound, e:
flash(('Found multiple characters named %s' % name, 'danger'), 'msg')
pc = None
except NoResultFound, e:
flash(('PC %s not found' % name, 'warning'), 'msg')
pc = None
return redirect('/')
@app.route('/admin/pc/')
def adminpc():
pcs = models.Character.query.all()
return render_template('/admin/pcs.html',
pcs=pcs,
newpc_form=forms.PC(),
menu=menugear())
@app.route('/admin/pc/newpc.do', methods=['POST'])
def do_newpc():
form = forms.PC(request.form)
pc = models.Character(name=form.name.data, pname=form.pname.data, abbrev=form.abbrev.data)
db.session.add(pc)
db.session.commit()
flash(("New PC", 'success'), 'msg')
return redirect('/admin/pc/')
@app.route('/admin/pc/<id>/delete.do', methods=['GET'])
def do_deletepc(id):
pc = models.Character.query.get(id)
if not pc:
flash(("PC %s not found" % id , 'danger'), 'msg')
else :
db.session.delete(pc)
db.session.commit()
flash(("PC '%s' deleted" % pc.name , 'success'), 'msg')
return redirect('/admin/pc/')
| 26.939716 | 94 | 0.612874 | 1,051 | 7,597 | 4.384396 | 0.11608 | 0.022135 | 0.027344 | 0.038194 | 0.715495 | 0.655599 | 0.605252 | 0.605252 | 0.605252 | 0.605252 | 0 | 0.000165 | 0.201395 | 7,597 | 281 | 95 | 27.035587 | 0.759354 | 0 | 0 | 0.607143 | 0 | 0 | 0.205503 | 0.019352 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.03125 | null | null | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
f06c0a436a6bd375e7b53e8c96203ec37cc92572 | 1,624 | py | Python | tests/fixtures/specification.py | FlyingBird95/openapi_generator | df4649b9723eb89fa370b02220356b7596794069 | [
"MIT"
] | 3 | 2022-01-10T12:43:36.000Z | 2022-01-13T18:08:15.000Z | tests/fixtures/specification.py | FlyingBird95/openapi_generator | df4649b9723eb89fa370b02220356b7596794069 | [
"MIT"
] | 6 | 2021-12-09T20:08:19.000Z | 2021-12-21T13:31:54.000Z | tests/fixtures/specification.py | FlyingBird95/openapi-builder | df4649b9723eb89fa370b02220356b7596794069 | [
"MIT"
] | 2 | 2021-12-17T17:26:06.000Z | 2021-12-17T17:39:00.000Z | from pytest_factoryboy import register
from tests.factories.specification import (
CallbackFactory,
ComponentsFactory,
ContactFactory,
DiscriminatorFactory,
EncodingFactory,
ExampleFactory,
ExternalDocumentationFactory,
HeaderFactory,
InfoFactory,
LicenseFactory,
LinkFactory,
MediaTypeFactory,
OAuthFlowFactory,
OAuthFlowsFactory,
OpenAPIFactory,
OperationFactory,
ParameterFactory,
PathItemFactory,
PathsFactory,
ReferenceFactory,
RequestBodyFactory,
ResponseFactory,
ResponsesFactory,
SchemaFactory,
SecurityRequirementFactory,
SecuritySchemeFactory,
ServerFactory,
ServerVariableFactory,
TagFactory,
)
register(OpenAPIFactory)
register(InfoFactory)
register(ContactFactory)
register(LicenseFactory)
register(ServerFactory)
register(ServerVariableFactory)
register(ComponentsFactory)
register(PathsFactory)
register(PathItemFactory)
register(OperationFactory)
register(ExternalDocumentationFactory)
register(ParameterFactory)
register(RequestBodyFactory)
register(MediaTypeFactory)
register(EncodingFactory)
register(ResponsesFactory)
register(ResponseFactory)
register(CallbackFactory)
register(ExampleFactory)
register(LinkFactory)
register(HeaderFactory)
register(TagFactory)
register(ReferenceFactory)
register(SchemaFactory)
register(SchemaFactory, "second_schema")
register(DiscriminatorFactory)
register(SecuritySchemeFactory)
register(OAuthFlowsFactory, "oauth_flows")
register(OAuthFlowFactory, "oauth_flow")
register(OAuthFlowFactory, "second_oauth_flow")
register(SecurityRequirementFactory)
| 24.606061 | 47 | 0.816502 | 110 | 1,624 | 12 | 0.381818 | 0.027273 | 0.025758 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.117611 | 1,624 | 65 | 48 | 24.984615 | 0.921144 | 0 | 0 | 0 | 0 | 0 | 0.031404 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.031746 | 0 | 0.031746 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
f06f16ee399ccb9faac16cda8b08d3cc4df552cb | 1,480 | py | Python | projectenv/main/forms.py | rzsaglam/project-env | f4c02b15cf924ba5d69d8a4a89efcc686b73aa9c | [
"MIT"
] | null | null | null | projectenv/main/forms.py | rzsaglam/project-env | f4c02b15cf924ba5d69d8a4a89efcc686b73aa9c | [
"MIT"
] | null | null | null | projectenv/main/forms.py | rzsaglam/project-env | f4c02b15cf924ba5d69d8a4a89efcc686b73aa9c | [
"MIT"
] | null | null | null | from django import forms
from django.contrib.auth import models
from django.db.models.base import Model
from django.forms import ModelForm, fields
from .models import Paint
from django import forms
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm, AuthenticationForm
class StockForm(forms.ModelForm):
class Meta:
model = Paint
fields = "__all__"
class PaintForm(forms.ModelForm):
class Meta:
model = Paint
fields = "__all__"
def save(self, commit=True):
paint = super(PaintForm, self).save(commit=False)
if commit:
paint.save()
return paint
class NewUserForm(UserCreationForm):
username = forms.CharField(max_length=200, required=True, widget=forms.TextInput(
attrs={'class': 'input-group-text'}))
class Meta:
model = User
fields = ("username", "password1", "password2")
def save(self, commit=True):
user = super(NewUserForm, self).save(commit=False)
if commit:
user.save()
return user
class LoginForm(AuthenticationForm):
username = forms.CharField(max_length=200, required=True, widget=forms.TextInput(
attrs={'class': 'input-group-text'}))
password = forms.CharField(max_length=200, required=True, widget=forms.TextInput(
attrs={'class': 'input-group-text'}))
class Meta:
model = User
fields = ("username", "password")
| 27.924528 | 85 | 0.667568 | 171 | 1,480 | 5.71345 | 0.274854 | 0.071648 | 0.057318 | 0.064483 | 0.603889 | 0.560901 | 0.505629 | 0.505629 | 0.333675 | 0.333675 | 0 | 0.009565 | 0.222973 | 1,480 | 52 | 86 | 28.461538 | 0.84 | 0 | 0 | 0.525 | 0 | 0 | 0.080405 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0.075 | 0.2 | 0 | 0.575 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
f0791e37af8f0e6bb45c78c7fc37667ac15c9e8a | 627 | py | Python | test/scripts/functions.py | JetBrains-Research/jpt-nb-corpus | d93ac84ff885b30ef736cd82f5ce8b09c28ef3d1 | [
"MIT"
] | 3 | 2022-03-25T10:17:22.000Z | 2022-03-27T14:13:03.000Z | test/scripts/functions.py | JetBrains-Research/Matroskin | 053ed3d7e9dffb0aee4012bc49a194e0c60217c7 | [
"MIT"
] | null | null | null | test/scripts/functions.py | JetBrains-Research/Matroskin | 053ed3d7e9dffb0aee4012bc49a194e0c60217c7 | [
"MIT"
] | 1 | 2021-07-06T16:22:11.000Z | 2021-07-06T16:22:11.000Z | # Explicit API functions
from api_functions import api_function1, api_function2
from package3 import api_function3
# API Packages
import package1, package2
import package3
from package4 import api_class1
# Defined functions
def defined_function_1(d_f_arg1, d_f_arg2):
a = api_function1(d_f_arg1)
b = (api_function2(d_f_arg2, d_f_arg1), api_function3())
def defined_function_2(d_f_arg1, d_f_arg2, d_f_arg3):
api_function1()
package1.p1_function1(d_f_arg1, d_f_arg2, d_f_arg3)
a, b = api_class1.cl1_function1(1, 2, '3')
def defined_function_3():
package1.p1_function1()
package3.p3_function1() | 24.115385 | 60 | 0.77193 | 103 | 627 | 4.291262 | 0.291262 | 0.049774 | 0.067873 | 0.047511 | 0.126697 | 0.108597 | 0.081448 | 0.081448 | 0.081448 | 0 | 0 | 0.078505 | 0.14673 | 627 | 26 | 61 | 24.115385 | 0.747664 | 0.08453 | 0 | 0 | 0 | 0 | 0.001751 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.333333 | 0 | 0.533333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
f082e2a2d09bf1830b2b1fcb472bd7a239f75622 | 716 | py | Python | layers/modules/fast_mask_iou.py | sebastian-ruiz/yolact | 0fdce34ddd38d8895445444f04c5a9d4e0384a3e | [
"MIT"
] | 1 | 2021-11-08T14:06:49.000Z | 2021-11-08T14:06:49.000Z | layers/modules/fast_mask_iou.py | sebastian-ruiz/yolact | 0fdce34ddd38d8895445444f04c5a9d4e0384a3e | [
"MIT"
] | null | null | null | layers/modules/fast_mask_iou.py | sebastian-ruiz/yolact | 0fdce34ddd38d8895445444f04c5a9d4e0384a3e | [
"MIT"
] | null | null | null | import torch
from torch import nn
import torch.nn.functional as F
#locals
from data.config import Config
from utils.functions import make_net
from utils.script_module_wrapper import ScriptModuleWrapper, script_method_wrapper
class FastMaskIoUNet(ScriptModuleWrapper):
def __init__(self, config:Config):
super().__init__()
cfg = config
input_channels = 1
last_layer = [(cfg.num_classes-1, 1, {})]
self.maskiou_net, _ = make_net(input_channels, cfg.maskiou_net + last_layer, include_last_relu=True)
def forward(self, x):
x = self.maskiou_net(x)
maskiou_p = F.max_pool2d(x, kernel_size=x.size()[2:]).squeeze(-1).squeeze(-1)
return maskiou_p
| 28.64 | 108 | 0.706704 | 99 | 716 | 4.818182 | 0.474747 | 0.062893 | 0.0587 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012132 | 0.194134 | 716 | 24 | 109 | 29.833333 | 0.814558 | 0.00838 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.352941 | 0 | 0.588235 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
b2b2c142b45b87b8147bfd47d58eb146d6e75472 | 610 | py | Python | schoolport/app_core/migrations/0024_auto_20210513_1020.py | yotink522/schoolport | c6cfd0230ca05fb44f77c2f27c7e200828547bd5 | [
"MIT"
] | null | null | null | schoolport/app_core/migrations/0024_auto_20210513_1020.py | yotink522/schoolport | c6cfd0230ca05fb44f77c2f27c7e200828547bd5 | [
"MIT"
] | null | null | null | schoolport/app_core/migrations/0024_auto_20210513_1020.py | yotink522/schoolport | c6cfd0230ca05fb44f77c2f27c7e200828547bd5 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.7 on 2021-05-13 02:20
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app_core', '0023_auto_20210513_1004'),
]
operations = [
migrations.AlterField(
model_name='tb_course',
name='pricing_standard_nos',
field=models.CharField(blank=True, max_length=255, null=True),
),
migrations.AlterField(
model_name='tb_course',
name='remarks',
field=models.CharField(blank=True, max_length=1024, null=True),
),
]
| 25.416667 | 75 | 0.603279 | 68 | 610 | 5.235294 | 0.661765 | 0.11236 | 0.140449 | 0.162921 | 0.44382 | 0.44382 | 0.44382 | 0 | 0 | 0 | 0 | 0.086758 | 0.281967 | 610 | 23 | 76 | 26.521739 | 0.726027 | 0.07377 | 0 | 0.352941 | 1 | 0 | 0.134991 | 0.040853 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b2b8a861bf96a35529dc0c381016dc12ddf8518f | 7,217 | py | Python | layers/layers.py | yangzonglin1994/yangzl-deep-text-matching | 2beadd1c2ebf2b169558b9978e0cbc66d1d25fc6 | [
"MIT"
] | 2 | 2018-08-10T20:02:44.000Z | 2018-08-10T20:02:50.000Z | layers/layers.py | yangzonglin1994/yangzl-text-matching | 2beadd1c2ebf2b169558b9978e0cbc66d1d25fc6 | [
"MIT"
] | 1 | 2018-07-30T08:54:35.000Z | 2018-07-30T08:54:35.000Z | layers/layers.py | yangzonglin1994/yangzl-text-matching | 2beadd1c2ebf2b169558b9978e0cbc66d1d25fc6 | [
"MIT"
] | null | null | null | import tensorflow as tf
from keras import backend as K
from keras.engine.topology import Layer
from keras.initializers import Ones, Zeros
from layers import transformer
class LayerNormalization(Layer):
def __init__(self, eps=1e-6, **kwargs):
super(LayerNormalization, self).__init__(**kwargs)
self.eps = eps
self.gamma = None
self.beta = None
def build(self, input_shape):
# Create trainable weight variables for this layer.
# 不同的行共享gamma和beta
self.gamma = self.add_weight(name='gamma', shape=input_shape[-1:],
initializer=Ones(), trainable=True)
self.beta = self.add_weight(name='beta', shape=input_shape[-1:],
initializer=Zeros(), trainable=True)
super(LayerNormalization, self).build(input_shape) # Be sure to call this at the end
def call(self, inputs, **kwargs):
mean = K.mean(inputs, axis=-1, keepdims=True)
std = K.std(inputs, axis=-1, keepdims=True)
# 类似于BN，LN在对样本归一化后也有缩放和平移操作
# Python中的广播
return self.gamma * (inputs - mean) / (std + self.eps) + self.beta
def compute_output_shape(self, input_shape):
return input_shape
def get_config(self):
config = {'eps': self.eps}
base_config = super(LayerNormalization, self).get_config()
return dict(list(base_config.items()) + list(config.items()))
class AvgEmb(Layer):
def __init__(self, word_vec_dim, **kwargs):
super(AvgEmb, self).__init__(**kwargs)
self.word_vec_dim = word_vec_dim
# 模板方法模式
def call(self, inputs, **kwargs):
inputs = tf.reduce_mean(inputs, axis=1, keepdims=True)
# return Reshape([self.word_vec_dim])(X)
return tf.reshape(inputs, [-1, self.word_vec_dim])
# 由于是静态计算图的框架，shape都并不可靠，可能不是预期的值
# 尽量使用已知值
def compute_output_shape(self, input_shape, **kwargs):
return input_shape[0], self.word_vec_dim
# 和保存相关的方法
# config = layer.get_config() or model.get_config() => 包含这个层配置信息的dict
# layer = Layer.from_config(config) or
# model = Model.from_config(config) or Sequential.from_config(config)
# 由于Keras其他层没有重写from_config方法，我的自定义层也不重写
def get_config(self):
config = {'word_vec_dim': self.word_vec_dim}
base_config = super(AvgEmb, self).get_config()
return dict(list(base_config.items()) + list(config.items()))
class Repeat(Layer):
def __init__(self, rep, axis, batch_size, **kwargs):
Layer.__init__(self, **kwargs)
self.rep = rep
self.axis = axis
self.batch_size = batch_size
def call(self, inputs, **kwargs):
return K.repeat_elements(inputs, self.rep, self.axis)
def compute_output_shape(self, input_shape):
axis = self.axis
if axis == 0:
return self.rep*self.batch_size, input_shape[1], input_shape[2]
elif axis == 1:
return self.batch_size, self.rep*input_shape[1], input_shape[2]
elif axis == 2:
return self.batch_size, input_shape[1], self.rep*input_shape[2]
else:
raise ValueError('axis not in [0, 1, 2]')
def get_config(self):
config = {'rep': self.rep,
'axis': self.axis,
'batch_size': self.batch_size}
base_config = Layer.get_config(self)
# dict.items() will return a set-like object
return dict(base_config.items() | config.items())
class ScaledDotProduct(Layer):
def __init__(self, temper, **kwargs):
super(ScaledDotProduct, self).__init__(**kwargs)
self.temper = temper
def call(self, inputs, **kwargs):
q, k = inputs[0], inputs[1]
# K.batch_dot, batch-wise dot product
# batch-wise operation, element-wise operation, point-wise operation
# axes=[2, 2]意味着“砍掉”batch data tensor.shape的第三维
return K.batch_dot(q, k, axes=[2, 2]) / self.temper
def compute_output_shape(self, input_shape):
input_shape = input_shape[0]
return input_shape[0], input_shape[1], input_shape[1]
def get_config(self):
config = {'temper': self.temper}
base_config = super(ScaledDotProduct, self).get_config()
return dict(list(base_config.items()) + list(config.items()))
class MMask(Layer):
def __init__(self, **kwargs):
super(MMask, self).__init__(**kwargs)
def call(self, inputs, **kwargs):
return (-1e+10) * (1-inputs)
def compute_output_shape(self, input_shape):
return input_shape
class WeightedSum(Layer):
def __init__(self, **kwargs):
super(WeightedSum, self).__init__(**kwargs)
def call(self, inputs, **kwargs):
attn, v = inputs[0], inputs[1]
# 默认axes=[2, 1]
return K.batch_dot(attn, v)
class Reshape1(Layer):
def __init__(self, n_head, d_k, batch_size, **kwargs):
super(Reshape1, self).__init__(**kwargs)
self.n_head = n_head
self.d_k = d_k
self.batch_size = batch_size
def call(self, inputs, **kwargs):
n_head = self.n_head
d_k = self.d_k
s = tf.shape(inputs) # [batch_size, len_q, n_head * d_k]
inputs = tf.reshape(inputs, [s[0], s[1], n_head, d_k])
inputs = tf.transpose(inputs, [2, 0, 1, 3])
# -1意味着自动推断
inputs = tf.reshape(inputs, [-1, s[1], d_k]) # [n_head * batch_size, len_q, d_k]
return inputs
def compute_output_shape(self, input_shape):
return self.n_head*self.batch_size, input_shape[1], self.d_k
def get_config(self):
config = {'n_head': self.n_head,
'd_k': self.d_k,
'batch_size': self.batch_size}
base_config = super(Reshape1, self).get_config()
return dict(list(base_config.items()) + list(config.items()))
class Reshape2(Layer):
def __init__(self, n_head, d_v, batch_size, **kwargs):
super(Reshape2, self).__init__(**kwargs)
self.n_head = n_head
self.d_v = d_v
self.batch_size = batch_size
def call(self, inputs, **kwargs):
n_head = self.n_head
d_v = self.d_v
s = tf.shape(inputs) # [n_head * batch_size, seq_len, d_v]
inputs = tf.reshape(inputs, [n_head, -1, s[1], s[2]])
inputs = tf.transpose(inputs, [1, 2, 0, 3])
# n_head * s[2]会出错！
inputs = tf.reshape(inputs, [-1, s[1], n_head * d_v]) # [batch_size, seq_len, n_head * d_v]
return inputs
def compute_output_shape(self, input_shape):
return self.batch_size, input_shape[1], self.n_head * self.d_v
def get_config(self):
config = {'n_head': self.n_head,
'd_v': self.d_v,
'batch_size': self.batch_size}
base_config = super(Reshape2, self).get_config()
return dict(list(base_config.items()) + list(config.items()))
class GetPadMask(Layer):
def __init__(self, **kwargs):
super(GetPadMask, self).__init__(**kwargs)
def call(self, inputs, **kwargs):
return transformer.get_pad_mask(inputs, inputs)
def compute_output_shape(self, input_shape):
return input_shape[0], input_shape[1], input_shape[1]
| 35.033981 | 100 | 0.620479 | 977 | 7,217 | 4.328557 | 0.146366 | 0.073303 | 0.028612 | 0.034051 | 0.476472 | 0.417593 | 0.367936 | 0.307165 | 0.253015 | 0.232679 | 0 | 0.012773 | 0.25149 | 7,217 | 205 | 101 | 35.204878 | 0.770085 | 0.113066 | 0 | 0.352113 | 0 | 0 | 0.016627 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.232394 | false | 0 | 0.035211 | 0.06338 | 0.507042 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
b2c4382563bdc135f87a0336d22aa149de5f9c44 | 9,203 | py | Python | rollon_erpnext/hooks_property_setter.py | santoshbb/rhplrepo | 8ce4792ea47b66ab2b7aed9da468104a2d37ae2b | [
"MIT"
] | null | null | null | rollon_erpnext/hooks_property_setter.py | santoshbb/rhplrepo | 8ce4792ea47b66ab2b7aed9da468104a2d37ae2b | [
"MIT"
] | null | null | null | rollon_erpnext/hooks_property_setter.py | santoshbb/rhplrepo | 8ce4792ea47b66ab2b7aed9da468104a2d37ae2b | [
"MIT"
] | null | null | null | property_setter = {
"dt": "Property Setter",
"filters": [
["name", "in", [
'Purchase Order-read_only_onload',
'Purchase Order-default_print_format',
'Purchase Invoice-naming_series-options',
'Purchase Invoice-naming_series-default',
'Delivery Note-naming_series-options',
'Delivery Note-naming_series-default',
'Sales Order-naming_series-options',
'Sales Order-naming_series-default',
'Purchase Receipt-naming_series-options',
'Purchase Receipt-naming_series-default',
'Production Order-naming_series-options',
'Production Order-naming_series-default',
'Stock Entry-naming_series-options',
'Stock Entry-naming_series-default',
'Purchase Order-naming_series-options',
'Purchase Order-naming_series-default',
'Sales Invoice-naming_series-options',
'Sales Invoice-naming_series-default',
'Purchase Invoice-read_only_onload',
'Stock Reconciliation-read_only_onload',
'Delivery Note-read_only_onload',
'Stock Entry-read_only_onload',
'Sales Invoice-po_no-read_only',
'Sales Invoice-read_only_onload',
'Purchase Receipt Item-read_only_onload',
'Custom Field-fieldname-width',
'Custom Field-dt-width',
'Sales Invoice Item-read_only_onload',
'Sales Invoice Item-warehouse-default',
'Sales Order-po_no-read_only',
'Sales Order-read_only_onload',
'Item-read_only_onload',
'User-read_only_onload',
'User-sort_field',
'Asset Maintenance Task-periodicity-options',
'Asset Maintenance Task-read_only_onload',
'Asset-read_only_onload',
'Sales Invoice Item-customer_item_code-print_hide',
'Sales Invoice Item-customer_item_code-hidden',
'Sales Order Item-read_only_onload',
'BOM-with_operations-default',
'BOM-read_only_onload',
'Stock Entry-default_print_format',
'Purchase Receipt-read_only_onload',
'Production Order-skip_transfer-default',
'Production Order-skip_transfer-read_only',
'Production Order-use_multi_level_bom-default',
'Production Order-use_multi_level_bom-read_only',
'Production Order-read_only_onload',
'Purchase Order Item-amount-precision',
'Purchase Order Item-read_only_onload',
'Purchase Order Item-rate-precision',
'Stock Entry-use_multi_level_bom-default',
'Stock Entry-use_multi_level_bom-read_only',
'Stock Entry-from_bom-read_only',
'Stock Entry-from_bom-default',
'Stock Entry Detail-barcode-read_only',
'Stock Entry Detail-read_only_onload',
'Stock Entry-to_warehouse-read_only',
'Stock Entry-from_warehouse-read_only',
'Stock Entry-remarks-reqd',
'Purchase Receipt-in_words-print_hide',
'Purchase Receipt-in_words-hidden',
'Purchase Invoice-in_words-print_hide',
'Purchase Invoice-in_words-hidden',
'Purchase Order-in_words-print_hide',
'Purchase Order-in_words-hidden',
'Supplier Quotation-in_words-print_hide',
'Supplier Quotation-in_words-hidden',
'Delivery Note-in_words-print_hide',
'Delivery Note-in_words-hidden',
'Sales Invoice-in_words-print_hide',
'Sales Invoice-in_words-hidden',
'Sales Order-in_words-print_hide',
'Sales Order-in_words-hidden',
'Quotation-in_words-print_hide',
'Quotation-in_words-hidden',
'Purchase Order-rounded_total-print_hide',
'Purchase Order-rounded_total-hidden',
'Purchase Order-base_rounded_total-print_hide',
'Purchase Order-base_rounded_total-hidden',
'Supplier Quotation-rounded_total-print_hide',
'Supplier Quotation-rounded_total-hidden',
'Supplier Quotation-base_rounded_total-print_hide',
'Supplier Quotation-base_rounded_total-hidden',
'Delivery Note-rounded_total-print_hide',
'Delivery Note-rounded_total-hidden',
'Delivery Note-base_rounded_total-print_hide',
'Delivery Note-base_rounded_total-hidden',
'Sales Invoice-rounded_total-print_hide',
'Sales Invoice-rounded_total-hidden',
'Sales Invoice-base_rounded_total-print_hide',
'Sales Invoice-base_rounded_total-hidden',
'Sales Order-rounded_total-print_hide',
'Sales Order-rounded_total-hidden',
'Sales Order-base_rounded_total-print_hide',
'Sales Order-base_rounded_total-hidden',
'Quotation-rounded_total-print_hide',
'Quotation-rounded_total-hidden',
'Quotation-base_rounded_total-print_hide',
'Quotation-base_rounded_total-hidden',
'Dropbox Settings-dropbox_setup_via_site_config-hidden',
'Dropbox Settings-read_only_onload',
'Dropbox Settings-dropbox_access_token-hidden',
'Activity Log-subject-width',
'Employee-employee_number-hidden',
'Employee-employee_number-reqd',
'Employee-naming_series-reqd',
'Employee-naming_series-hidden',
'Supplier-naming_series-hidden',
'Supplier-naming_series-reqd',
'Delivery Note-tax_id-print_hide',
'Delivery Note-tax_id-hidden',
'Sales Invoice-tax_id-print_hide',
'Sales Invoice-tax_id-hidden',
'Sales Order-tax_id-print_hide',
'Sales Order-tax_id-hidden',
'Customer-naming_series-hidden',
'Customer-naming_series-reqd',
'Stock Entry Detail-barcode-hidden',
'Stock Reconciliation Item-barcode-hidden',
'Item-barcode-hidden',
'Delivery Note Item-barcode-hidden',
'Sales Invoice Item-barcode-hidden',
'Purchase Receipt Item-barcode-hidden',
'Item-item_code-reqd',
'Item-item_code-hidden',
'Item-naming_series-hidden',
'Item-naming_series-reqd',
'Item-manufacturing-collapsible_depends_on',
'Purchase Invoice-payment_schedule-print_hide',
'Purchase Invoice-due_date-print_hide',
'Purchase Order-payment_schedule-print_hide',
'Purchase Order-due_date-print_hide',
'Sales Invoice-payment_schedule-print_hide',
'Sales Invoice-due_date-print_hide',
'Sales Order-payment_schedule-print_hide',
'Sales Order-due_date-print_hide',
'Journal Entry Account-sort_order',
'Journal Entry Account-account_currency-print_hide',
'Sales Invoice-taxes_and_charges-reqd',
'Sales Taxes and Charges-sort_order',
'Sales Invoice Item-customer_item_code-label',
'Sales Invoice-default_print_format',
'Purchase Taxes and Charges Template-sort_order',
'Serial No-company-in_standard_filter',
'Serial No-amc_expiry_date-in_standard_filter',
'Serial No-warranty_expiry_date-in_standard_filter',
'Serial No-maintenance_status-in_standard_filter',
'Serial No-customer_name-in_standard_filter',
'Serial No-customer_name-bold',
'Serial No-customer-in_standard_filter',
'Serial No-delivery_document_no-in_standard_filter',
'Serial No-delivery_document_type-in_standard_filter',
'Serial No-supplier_name-bold',
'Serial No-supplier_name-in_standard_filter',
'Serial No-supplier-in_standard_filter',
'Serial No-purchase_date-in_standard_filter',
'Serial No-description-in_standard_filter',
'Delivery Note-section_break1-hidden',
'Delivery Note-sales_team_section_break-hidden',
'Delivery Note-project-hidden',
'Delivery Note-taxes-hidden',
'Delivery Note-taxes_and_charges-hidden',
'Delivery Note-taxes_section-hidden',
'Delivery Note-posting_time-print_hide',
'Delivery Note-posting_time-description',
'Delivery Note Item-warehouse-default',
'Item-income_account-default',
'Item-income_account-depends_on',
'Purchase Receipt-remarks-reqd',
'Purchase Receipt-taxes-hidden',
'Purchase Receipt-taxes_and_charges-hidden',
'Purchase Receipt Item-base_rate-fieldtype',
'Purchase Receipt Item-amount-in_list_view',
'Purchase Receipt Item-rate-fieldtype',
'Purchase Receipt Item-base_price_list_rate-fieldtype',
'Purchase Receipt Item-price_list_rate-fieldtype',
'Purchase Receipt Item-qty-in_list_view',
'Stock Entry-title_field',
'Stock Entry-search_fields',
'Stock Entry-project-hidden',
'Stock Entry-supplier-in_list_view',
'Stock Entry-from_warehouse-in_list_view',
'Stock Entry-to_warehouse-in_list_view',
'Stock Entry-purpose-default',
'ToDo-sort_order',
'Currency Exchange-sort_order',
'Company-abbr-in_list_view',
'Stock Reconciliation-expense_account-in_standard_filter',
'Stock Reconciliation-expense_account-depends_on',
'Sales Order-taxes-hidden',
'Warehouse-sort_order',
'Address-fax-hidden',
'Address-fax-read_only',
'Address-phone-hidden',
'Address-email_id-hidden',
'Address-city-reqd',
'BOM Operation-sort_order',
'BOM Item-scrap-read_only',
'BOM-operations_section-read_only',
'BOM-operations-read_only',
'BOM-rm_cost_as_per-reqd',
'Journal Entry-pay_to_recd_from-allow_on_submit',
'Journal Entry-remark-in_global_search',
'Journal Entry-total_amount-bold',
'Journal Entry-total_amount-print_hide',
'Journal Entry-total_amount-in_list_view',
'Journal Entry-total_credit-print_hide',
'Journal Entry-total_debit-print_hide',
'Journal Entry-total_debit-in_list_view',
'Journal Entry-user_remark-print_hide',
'Stock Entry-to_warehouse-hidden',
'Purchase Order Item-rate-fieldtype',
'Journal Entry Account-exchange_rate-print_hide',
'Sales Invoice Item-item_code-label',
'BOM-rm_cost_as_per-options',
'Purchase Order Item-price_list_rate-fieldtype',
'Reconciliation-expense_account-read_only',
'Customer-tax_id-read_only',
'Purchase Order Item-amount-fieldtype',
'Stock Entry-project-hidden'
]
]
]
} | 40.013043 | 61 | 0.757688 | 1,211 | 9,203 | 5.466557 | 0.123865 | 0.053021 | 0.042296 | 0.038066 | 0.425227 | 0.21148 | 0.053625 | 0 | 0 | 0 | 0 | 0.000124 | 0.122786 | 9,203 | 230 | 62 | 40.013043 | 0.819893 | 0 | 0 | 0 | 0 | 0 | 0.824424 | 0.565732 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.182609 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b2c664ce7bd387984bca2a25d6741d8d39b481e1 | 2,624 | py | Python | django/contrib/sessions/tests.py | rawwell/django | 6b3264671ead4604f26cbd2b71e8d6a02945bf0c | [
"BSD-3-Clause"
] | 1 | 2016-05-08T12:24:22.000Z | 2016-05-08T12:24:22.000Z | django/contrib/sessions/tests.py | rawwell/django | 6b3264671ead4604f26cbd2b71e8d6a02945bf0c | [
"BSD-3-Clause"
] | null | null | null | django/contrib/sessions/tests.py | rawwell/django | 6b3264671ead4604f26cbd2b71e8d6a02945bf0c | [
"BSD-3-Clause"
] | 1 | 2015-11-19T14:45:16.000Z | 2015-11-19T14:45:16.000Z | r"""
>>> from django.conf import settings
>>> from django.contrib.sessions.backends.db import SessionStore as DatabaseSession
>>> from django.contrib.sessions.backends.cache import SessionStore as CacheSession
>>> from django.contrib.sessions.backends.file import SessionStore as FileSession
>>> from django.contrib.sessions.backends.base import SessionBase
>>> db_session = DatabaseSession()
>>> db_session.modified
False
>>> db_session['cat'] = "dog"
>>> db_session.modified
True
>>> db_session.pop('cat')
'dog'
>>> db_session.pop('some key', 'does not exist')
'does not exist'
>>> db_session.save()
>>> db_session.exists(db_session.session_key)
True
>>> db_session.delete(db_session.session_key)
>>> db_session.exists(db_session.session_key)
False
>>> file_session = FileSession()
>>> file_session.modified
False
>>> file_session['cat'] = "dog"
>>> file_session.modified
True
>>> file_session.pop('cat')
'dog'
>>> file_session.pop('some key', 'does not exist')
'does not exist'
>>> file_session.save()
>>> file_session.exists(file_session.session_key)
True
>>> file_session.delete(file_session.session_key)
>>> file_session.exists(file_session.session_key)
False
# Make sure the file backend checks for a good storage dir
>>> settings.SESSION_FILE_PATH = "/if/this/directory/exists/you/have/a/weird/computer"
>>> FileSession()
Traceback (innermost last):
...
ImproperlyConfigured: The session storage path '/if/this/directory/exists/you/have/a/weird/computer' doesn't exist. Please set your SESSION_FILE_PATH setting to an existing directory in which Django can store session data.
>>> cache_session = CacheSession()
>>> cache_session.modified
False
>>> cache_session['cat'] = "dog"
>>> cache_session.modified
True
>>> cache_session.pop('cat')
'dog'
>>> cache_session.pop('some key', 'does not exist')
'does not exist'
>>> cache_session.save()
>>> cache_session.delete(cache_session.session_key)
>>> cache_session.exists(cache_session.session_key)
False
>>> s = SessionBase()
>>> s._session['some key'] = 'exists' # Pre-populate the session with some data
>>> s.accessed = False # Reset to pretend this wasn't accessed previously
>>> s.accessed, s.modified
(False, False)
>>> s.pop('non existant key', 'does not exist')
'does not exist'
>>> s.accessed, s.modified
(True, False)
>>> s.setdefault('foo', 'bar')
'bar'
>>> s.setdefault('foo', 'baz')
'bar'
>>> s.accessed = False # Reset the accessed flag
>>> s.pop('some key')
'exists'
>>> s.accessed, s.modified
(True, True)
>>> s.pop('some key', 'does not exist')
'does not exist'
"""
if __name__ == '__main__':
import doctest
doctest.testmod()
| 27.333333 | 222 | 0.722942 | 363 | 2,624 | 5.066116 | 0.247934 | 0.063622 | 0.065253 | 0.040783 | 0.324089 | 0.228385 | 0.228385 | 0.1354 | 0.1354 | 0.116911 | 0 | 0 | 0.115091 | 2,624 | 95 | 223 | 27.621053 | 0.79199 | 0.969512 | 0 | 0 | 0 | 0 | 0.112676 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b2cacff06725bd2d9718bd414438fed14a74ef43 | 589 | py | Python | src/django_version_checks/apps.py | adamchainz/django-version-checks | 94f6d696f5279a7bb579c7d2a177a231d6b61e45 | [
"MIT"
] | 33 | 2020-12-13T23:02:39.000Z | 2022-03-28T06:19:09.000Z | src/django_version_checks/apps.py | adamchainz/django-version-checks | 94f6d696f5279a7bb579c7d2a177a231d6b61e45 | [
"MIT"
] | 47 | 2020-12-14T01:33:56.000Z | 2021-11-06T09:17:38.000Z | src/django_version_checks/apps.py | adamchainz/django-version-checks | 94f6d696f5279a7bb579c7d2a177a231d6b61e45 | [
"MIT"
] | 2 | 2021-11-13T22:56:21.000Z | 2022-02-15T14:24:53.000Z | from django.apps import AppConfig
from django.core.checks import Tags, register
from django_version_checks import checks
class DjangoVersionChecksAppConfig(AppConfig):
name = "django_version_checks"
verbose_name = "django-version-checks"
def ready(self) -> None:
register(Tags.compatibility)(checks.check_config)
register(Tags.compatibility)(checks.check_python_version)
register(Tags.database)(checks.check_postgresql_version)
register(Tags.database)(checks.check_mysql_version)
register(Tags.database)(checks.check_sqlite_version)
| 34.647059 | 65 | 0.7691 | 68 | 589 | 6.455882 | 0.382353 | 0.136674 | 0.129841 | 0.18451 | 0.42369 | 0.259681 | 0 | 0 | 0 | 0 | 0 | 0 | 0.14601 | 589 | 16 | 66 | 36.8125 | 0.872763 | 0 | 0 | 0 | 0 | 0 | 0.071307 | 0.071307 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.25 | 0 | 0.583333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
b2cdb0c942905c9f4fb6dbf73dca96d1a9a5f768 | 415 | py | Python | dms/v2/meal/__init__.py | moreal/DMS-api | 9624e28764ec4535002677671e10a09d762d19a8 | [
"MIT"
] | null | null | null | dms/v2/meal/__init__.py | moreal/DMS-api | 9624e28764ec4535002677671e10a09d762d19a8 | [
"MIT"
] | null | null | null | dms/v2/meal/__init__.py | moreal/DMS-api | 9624e28764ec4535002677671e10a09d762d19a8 | [
"MIT"
] | 1 | 2018-09-29T14:35:20.000Z | 2018-09-29T14:35:20.000Z | import datetime
import requests
import json
from dms.v2.config import DMS_URL
class Meal():
@staticmethod
def get(date: datetime.date or str=datetime.date.today()):
if not isinstance(date, str):
date = str(date)
resp = requests.get(f"http://{DMS_URL}/v2/meal/{date}")
meals = json.loads(resp.text)
return meals['breakfast'], meals['lunch'], meals['dinner']
| 21.842105 | 66 | 0.636145 | 56 | 415 | 4.678571 | 0.553571 | 0.045802 | 0.083969 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006211 | 0.224096 | 415 | 18 | 67 | 23.055556 | 0.807453 | 0 | 0 | 0 | 0 | 0 | 0.122892 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.333333 | 0 | 0.583333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
b2d18501d17a461813526ffc739b3386958593ec | 2,829 | py | Python | backend/fief/schemas/workspace.py | fief-dev/fief | cbfeec11da7a03aa345cb7ceb088b5d8ec9d6ab1 | [
"MIT"
] | 1 | 2022-02-13T17:39:42.000Z | 2022-02-13T17:39:42.000Z | backend/fief/schemas/workspace.py | fief-dev/fief | cbfeec11da7a03aa345cb7ceb088b5d8ec9d6ab1 | [
"MIT"
] | 1 | 2022-02-13T14:46:24.000Z | 2022-02-13T14:46:24.000Z | backend/fief/schemas/workspace.py | fief-dev/fief | cbfeec11da7a03aa345cb7ceb088b5d8ec9d6ab1 | [
"MIT"
] | null | null | null | from typing import Optional
from pydantic import BaseModel, root_validator, validator
from fief.crypto.encryption import decrypt
from fief.db.types import DatabaseType
from fief.errors import APIErrorCode
from fief.schemas.generics import UUIDSchema
from fief.settings import settings
def validate_all_database_settings(cls, values):
database_type = values.get("database_type")
database_settings = [
values.get("database_host"),
values.get("database_port"),
values.get("database_username"),
values.get("database_password"),
values.get("database_name"),
]
if database_type is None and not any(database_settings):
return values
if database_type is None and any(database_settings):
raise ValueError(APIErrorCode.WORKSPACE_CREATE_MISSING_DATABASE_SETTINGS)
database_name = values.get("database_name")
if database_type == DatabaseType.SQLITE:
if database_name is None:
raise ValueError(APIErrorCode.WORKSPACE_CREATE_MISSING_DATABASE_SETTINGS)
else:
if not all(database_settings):
raise ValueError(APIErrorCode.WORKSPACE_CREATE_MISSING_DATABASE_SETTINGS)
return values
class WorkspaceCheckConnection(BaseModel):
database_type: DatabaseType
database_host: str
database_port: int
database_username: str
database_password: str
database_name: str
_validate_all_database_settings = root_validator(allow_reuse=True)(
validate_all_database_settings
)
class WorkspaceCreate(BaseModel):
name: str
database_type: Optional[DatabaseType]
database_host: Optional[str]
database_port: Optional[int]
database_username: Optional[str]
database_password: Optional[str]
database_name: Optional[str]
_validate_all_database_settings = root_validator(allow_reuse=True)(
validate_all_database_settings
)
class BaseWorkspace(UUIDSchema):
name: str
domain: str
class Workspace(BaseWorkspace):
database_type: Optional[DatabaseType]
database_host: Optional[str]
database_port: Optional[int]
database_username: Optional[str]
database_password: Optional[str]
database_name: Optional[str]
@validator(
"database_host",
"database_username",
"database_password",
"database_name",
pre=True,
)
def decrypt_database_setting(cls, value: Optional[str]) -> Optional[str]:
if value is None:
return value
return decrypt(value, settings.encryption_key)
@validator("database_port", pre=True)
def decrypt_database_port(cls, value: Optional[str]) -> Optional[int]:
if value is None:
return value
return int(decrypt(value, settings.encryption_key))
class WorkspacePublic(BaseWorkspace):
pass
| 28.29 | 85 | 0.721456 | 318 | 2,829 | 6.166667 | 0.201258 | 0.097909 | 0.060683 | 0.068842 | 0.532381 | 0.445691 | 0.429373 | 0.36308 | 0.329934 | 0.329934 | 0 | 0 | 0.203252 | 2,829 | 99 | 86 | 28.575758 | 0.870009 | 0 | 0 | 0.350649 | 0 | 0 | 0.060799 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038961 | false | 0.077922 | 0.090909 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
b2d2f0394cea895eb88a51c785769332faca9031 | 844 | py | Python | blog/tasks.py | iloveyougit/ylink2 | a87d8fde79ab259012cd6486299fcf86e1afc740 | [
"MIT"
] | null | null | null | blog/tasks.py | iloveyougit/ylink2 | a87d8fde79ab259012cd6486299fcf86e1afc740 | [
"MIT"
] | null | null | null | blog/tasks.py | iloveyougit/ylink2 | a87d8fde79ab259012cd6486299fcf86e1afc740 | [
"MIT"
] | null | null | null |
from __future__ import absolute_import, unicode_literals
import string
from django.contrib.auth.models import User
from django.utils.crypto import get_random_string
from celery import shared_task, current_task
@shared_task
def create_random_user_accounts(total_user):
for i in range(total_user):
username = 'user_%s' % get_random_string(20, string.ascii_letters)
email = '%s@example.com' % username
password = get_random_string(50)
User.objects.create_user(username=username, email=email, password=password)
current_task.update_state(state='PROGRESS',
meta={'current': i, 'total': total_user,
'percent': int((float(i) / total_user) * 100)})
return {'current': total_user, 'total': total_user, 'percent': 100}
| 29.103448 | 87 | 0.667062 | 104 | 844 | 5.134615 | 0.461538 | 0.101124 | 0.08427 | 0.078652 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015456 | 0.233412 | 844 | 28 | 88 | 30.142857 | 0.809892 | 0 | 0 | 0 | 0 | 0 | 0.079762 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0.125 | 0.3125 | 0 | 0.4375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 |
b2e0de9c060c5c18b08f58d054b60642948a19ab | 13,975 | py | Python | SViTE/backup/sparselearning/snip.py | VITA-Group/SViTE | b0c62fd153c8b0b99917ab935ee76925c9de1149 | [
"MIT"
] | 50 | 2021-05-29T00:52:45.000Z | 2022-03-17T11:39:47.000Z | SViTE/backup/sparselearning/snip.py | VITA-Group/SViTE | b0c62fd153c8b0b99917ab935ee76925c9de1149 | [
"MIT"
] | 2 | 2022-01-16T07:24:52.000Z | 2022-03-29T01:56:24.000Z | SViTE/backup/sparselearning/snip.py | VITA-Group/SViTE | b0c62fd153c8b0b99917ab935ee76925c9de1149 | [
"MIT"
] | 6 | 2021-06-27T22:24:16.000Z | 2022-01-17T02:45:32.000Z | import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.nn.functional as F
import math
import copy
import types
def fgsm_attack(image, epsilon, data_grad):
print('Attacking...')
# Collect the element-wise sign of the data gradient
sign_data_grad = data_grad.sign()
# Create the perturbed image by adjusting each pixel of the input image
perturbed_image = image + epsilon*sign_data_grad
# Adding clipping to maintain [0,1] range
perturbed_image = torch.clamp(perturbed_image, 0, 1)
# Return the perturbed image
return perturbed_image
def snip_forward_conv2d(self, x):
return F.conv2d(x, self.weight * self.weight_mask, self.bias,
self.stride, self.padding, self.dilation, self.groups)
def snip_forward_linear(self, x):
return F.linear(x, self.weight * self.weight_mask, self.bias)
def SNIP(net, keep_ratio, train_dataloader, device):
# TODO: shuffle?
# Grab a single batch from the training dataset
inputs, targets = next(iter(train_dataloader))
inputs = inputs.to(device)
targets = targets.to(device)
inputs.requires_grad = True
# Let's create a fresh copy of the network so that we're not worried about
# affecting the actual training-phase
net = copy.deepcopy(net)
# Monkey-patch the Linear and Conv2d layer to learn the multiplicative mask
# instead of the weights
for layer in net.modules():
if isinstance(layer, nn.Conv2d) or isinstance(layer, nn.Linear):
layer.weight_mask = nn.Parameter(torch.ones_like(layer.weight))
nn.init.xavier_normal_(layer.weight)
layer.weight.requires_grad = False
# Override the forward methods:
if isinstance(layer, nn.Conv2d):
layer.forward = types.MethodType(snip_forward_conv2d, layer)
if isinstance(layer, nn.Linear):
layer.forward = types.MethodType(snip_forward_linear, layer)
# Compute gradients (but don't apply them)
net.zero_grad()
outputs = net.forward(inputs)
loss = F.nll_loss(outputs, targets)
loss.backward()
grads_abs = []
for layer in net.modules():
if isinstance(layer, nn.Conv2d) or isinstance(layer, nn.Linear):
grads_abs.append(torch.abs(layer.weight_mask.grad))
# Gather all scores in a single vector and normalise
all_scores = torch.cat([torch.flatten(x) for x in grads_abs])
norm_factor = torch.sum(all_scores)
all_scores.div_(norm_factor)
num_params_to_keep = int(len(all_scores) * keep_ratio)
threshold, _ = torch.topk(all_scores, num_params_to_keep, sorted=True)
acceptable_score = threshold[-1]
keep_masks = []
for g in grads_abs:
keep_masks.append(((g / norm_factor) >= acceptable_score).float())
print(torch.sum(torch.cat([torch.flatten(x == 1) for x in keep_masks])))
return keep_masks
def SNIP_training(net, keep_ratio, train_dataloader, device, masks, death_rate):
# TODO: shuffle?
# Grab a single batch from the training dataset
inputs, targets = next(iter(train_dataloader))
inputs = inputs.to(device)
targets = targets.to(device)
print('Pruning rate:', death_rate)
# Let's create a fresh copy of the network so that we're not worried about
# affecting the actual training-phase
net = copy.deepcopy(net)
# Monkey-patch the Linear and Conv2d layer to learn the multiplicative mask
# instead of the weights
# for layer in net.modules():
# if isinstance(layer, nn.Conv2d) or isinstance(layer, nn.Linear):
# layer.weight_mask = nn.Parameter(torch.ones_like(layer.weight))
# # nn.init.xavier_normal_(layer.weight)
# # layer.weight.requires_grad = False
#
# # Override the forward methods:
# if isinstance(layer, nn.Conv2d):
# layer.forward = types.MethodType(snip_forward_conv2d, layer)
#
# if isinstance(layer, nn.Linear):
# layer.forward = types.MethodType(snip_forward_linear, layer)
# Compute gradients (but don't apply them)
net.zero_grad()
outputs = net.forward(inputs)
loss = F.nll_loss(outputs, targets)
loss.backward()
grads_abs = []
masks_copy = []
new_masks = []
for name in masks:
masks_copy.append(masks[name])
index = 0
for layer in net.modules():
if isinstance(layer, nn.Conv2d) or isinstance(layer, nn.Linear):
# clone mask
mask = masks_copy[index].clone()
num_nonzero = (masks_copy[index] != 0).sum().item()
num_zero = (masks_copy[index] == 0).sum().item()
# calculate score
scores = torch.abs(layer.weight.grad * layer.weight * masks_copy[index]) # weight * grad
norm_factor = torch.sum(scores)
scores.div_(norm_factor)
x, idx = torch.sort(scores.data.view(-1))
num_remove = math.ceil(death_rate * num_nonzero)
k = math.ceil(num_zero + num_remove)
if num_remove == 0.0: return masks_copy[index] != 0.0
mask.data.view(-1)[idx[:k]] = 0.0
new_masks.append(mask)
index += 1
return new_masks
def GraSP_fetch_data(dataloader, num_classes, samples_per_class):
datas = [[] for _ in range(num_classes)]
labels = [[] for _ in range(num_classes)]
mark = dict()
dataloader_iter = iter(dataloader)
while True:
inputs, targets = next(dataloader_iter)
for idx in range(inputs.shape[0]):
x, y = inputs[idx:idx+1], targets[idx:idx+1]
category = y.item()
if len(datas[category]) == samples_per_class:
mark[category] = True
continue
datas[category].append(x)
labels[category].append(y)
if len(mark) == num_classes:
break
X, y = torch.cat([torch.cat(_, 0) for _ in datas]), torch.cat([torch.cat(_) for _ in labels]).view(-1)
return X, y
def count_total_parameters(net):
total = 0
for m in net.modules():
if isinstance(m, (nn.Linear, nn.Conv2d)):
total += m.weight.numel()
return total
def count_fc_parameters(net):
total = 0
for m in net.modules():
if isinstance(m, (nn.Linear)):
total += m.weight.numel()
return total
def GraSP(net, ratio, train_dataloader, device, num_classes=10, samples_per_class=25, num_iters=1, T=200, reinit=True):
eps = 1e-10
keep_ratio = ratio
old_net = net
net = copy.deepcopy(net) # .eval()
net.zero_grad()
weights = []
total_parameters = count_total_parameters(net)
fc_parameters = count_fc_parameters(net)
# rescale_weights(net)
for layer in net.modules():
if isinstance(layer, nn.Conv2d) or isinstance(layer, nn.Linear):
if isinstance(layer, nn.Linear) and reinit:
nn.init.xavier_normal(layer.weight)
weights.append(layer.weight)
inputs_one = []
targets_one = []
grad_w = None
for w in weights:
w.requires_grad_(True)
print_once = False
for it in range(num_iters):
print("(1): Iterations %d/%d." % (it, num_iters))
inputs, targets = GraSP_fetch_data(train_dataloader, num_classes, samples_per_class)
N = inputs.shape[0]
din = copy.deepcopy(inputs)
dtarget = copy.deepcopy(targets)
inputs_one.append(din[:N//2])
targets_one.append(dtarget[:N//2])
inputs_one.append(din[N // 2:])
targets_one.append(dtarget[N // 2:])
inputs = inputs.to(device)
targets = targets.to(device)
outputs = net.forward(inputs[:N//2])/T
if print_once:
# import pdb; pdb.set_trace()
x = F.softmax(outputs)
print(x)
print(x.max(), x.min())
print_once = False
loss = F.cross_entropy(outputs, targets[:N//2])
# ===== debug ================
grad_w_p = autograd.grad(loss, weights)
if grad_w is None:
grad_w = list(grad_w_p)
else:
for idx in range(len(grad_w)):
grad_w[idx] += grad_w_p[idx]
outputs = net.forward(inputs[N // 2:])/T
loss = F.cross_entropy(outputs, targets[N // 2:])
grad_w_p = autograd.grad(loss, weights, create_graph=False)
if grad_w is None:
grad_w = list(grad_w_p)
else:
for idx in range(len(grad_w)):
grad_w[idx] += grad_w_p[idx]
ret_inputs = []
ret_targets = []
for it in range(len(inputs_one)):
print("(2): Iterations %d/%d." % (it, num_iters))
inputs = inputs_one.pop(0).to(device)
targets = targets_one.pop(0).to(device)
ret_inputs.append(inputs)
ret_targets.append(targets)
outputs = net.forward(inputs)/T
loss = F.cross_entropy(outputs, targets)
# ===== debug ==============
grad_f = autograd.grad(loss, weights, create_graph=True)
z = 0
count = 0
for layer in net.modules():
if isinstance(layer, nn.Conv2d) or isinstance(layer, nn.Linear):
z += (grad_w[count].data * grad_f[count]).sum()
count += 1
z.backward()
grads = dict()
old_modules = list(old_net.modules())
for idx, layer in enumerate(net.modules()):
if isinstance(layer, nn.Conv2d) or isinstance(layer, nn.Linear):
grads[old_modules[idx]] = -layer.weight.data * layer.weight.grad # -theta_q Hg
# Gather all scores in a single vector and normalise
all_scores = torch.cat([torch.flatten(x) for x in grads.values()])
norm_factor = torch.abs(torch.sum(all_scores)) + eps
print("** norm factor:", norm_factor)
all_scores.div_(norm_factor)
num_params_to_rm = int(len(all_scores) * (1-keep_ratio))
threshold, _ = torch.topk(all_scores, num_params_to_rm, sorted=True)
# import pdb; pdb.set_trace()
acceptable_score = threshold[-1]
print('** accept: ', acceptable_score)
keep_masks = []
for m, g in grads.items():
keep_masks.append(((g / norm_factor) <= acceptable_score).float())
# print(torch.sum(torch.cat([torch.flatten(x == 1) for x in keep_masks.values()])))
return keep_masks
def GraSP_Training(net, ratio, train_dataloader, device, num_classes=10, samples_per_class=25, num_iters=1, T=200, reinit=False):
eps = 1e-10
death_rate = ratio
net = copy.deepcopy(net) # .eval()
net.zero_grad()
weights = []
# rescale_weights(net)
for layer in net.modules():
if isinstance(layer, nn.Conv2d) or isinstance(layer, nn.Linear):
if isinstance(layer, nn.Linear) and reinit:
nn.init.xavier_normal(layer.weight)
weights.append(layer.weight)
inputs_one = []
targets_one = []
grad_w = None
for w in weights:
w.requires_grad_(True)
print_once = False
for it in range(num_iters):
print("(1): Iterations %d/%d." % (it, num_iters))
inputs, targets = GraSP_fetch_data(train_dataloader, num_classes, samples_per_class)
N = inputs.shape[0]
din = copy.deepcopy(inputs)
dtarget = copy.deepcopy(targets)
inputs_one.append(din[:N//2])
targets_one.append(dtarget[:N//2])
inputs_one.append(din[N // 2:])
targets_one.append(dtarget[N // 2:])
inputs = inputs.to(device)
targets = targets.to(device)
outputs = net.forward(inputs[:N//2])/T
if print_once:
# import pdb; pdb.set_trace()
x = F.softmax(outputs)
print(x)
print(x.max(), x.min())
print_once = False
loss = F.cross_entropy(outputs, targets[:N//2])
# ===== debug ================
grad_w_p = autograd.grad(loss, weights)
if grad_w is None:
grad_w = list(grad_w_p)
else:
for idx in range(len(grad_w)):
grad_w[idx] += grad_w_p[idx]
outputs = net.forward(inputs[N // 2:])/T
loss = F.cross_entropy(outputs, targets[N // 2:])
grad_w_p = autograd.grad(loss, weights, create_graph=False)
if grad_w is None:
grad_w = list(grad_w_p)
else:
for idx in range(len(grad_w)):
grad_w[idx] += grad_w_p[idx]
ret_inputs = []
ret_targets = []
for it in range(len(inputs_one)):
print("(2): Iterations %d/%d." % (it, num_iters))
inputs = inputs_one.pop(0).to(device)
targets = targets_one.pop(0).to(device)
ret_inputs.append(inputs)
ret_targets.append(targets)
outputs = net.forward(inputs)/T
loss = F.cross_entropy(outputs, targets)
# ===== debug ==============
grad_f = autograd.grad(loss, weights, create_graph=True)
z = 0
count = 0
for layer in net.modules():
if isinstance(layer, nn.Conv2d) or isinstance(layer, nn.Linear):
z += (grad_w[count].data * grad_f[count]).sum()
count += 1
z.backward()
keep_masks = []
for idx, layer in enumerate(net.modules()):
if isinstance(layer, nn.Conv2d) or isinstance(layer, nn.Linear):
grad = -layer.weight.data * layer.weight.grad
# scores = torch.flatten(grad) # -theta_q Hg
mask = grad != 0
num_nonzero = (grad != 0).sum().item()
num_positive = (grad > 0).sum().item()
num_zero = (grad == 0).sum().item()
num_remove = math.ceil(num_nonzero*death_rate)
if num_remove > num_positive:
k = num_remove + num_zero
else:
k = num_remove
threshold, idx = torch.topk(grad.data.view(-1), k, sorted=True)
mask.data.view(-1)[idx[:k]] = 0.0
keep_masks.append(mask)
return keep_masks | 34.506173 | 129 | 0.606082 | 1,878 | 13,975 | 4.347178 | 0.126731 | 0.019598 | 0.05414 | 0.037237 | 0.728564 | 0.714356 | 0.689245 | 0.681651 | 0.660828 | 0.651029 | 0 | 0.01069 | 0.270411 | 13,975 | 405 | 130 | 34.506173 | 0.790016 | 0.134025 | 0 | 0.628472 | 0 | 0 | 0.011537 | 0 | 0 | 0 | 0 | 0.002469 | 0 | 1 | 0.034722 | false | 0 | 0.024306 | 0.006944 | 0.09375 | 0.065972 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
b2e290a686a1065fd69b5d2e7d362f288caf266f | 117 | py | Python | Module01/OOP/FirstClassDef.py | fenglihanxiao/Python | 872baf3a3a5ee42740161152605ca2b1ddf4cd30 | [
"MIT"
] | null | null | null | Module01/OOP/FirstClassDef.py | fenglihanxiao/Python | 872baf3a3a5ee42740161152605ca2b1ddf4cd30 | [
"MIT"
] | null | null | null | Module01/OOP/FirstClassDef.py | fenglihanxiao/Python | 872baf3a3a5ee42740161152605ca2b1ddf4cd30 | [
"MIT"
] | null | null | null | """ First class definition"""
class Cat:
pass
class RaceCar:
pass
cat1 = Cat()
cat2 = Cat()
cat3 = Cat() | 9 | 29 | 0.589744 | 15 | 117 | 4.6 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034884 | 0.264957 | 117 | 13 | 30 | 9 | 0.767442 | 0.188034 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.285714 | 0 | 0 | 0.285714 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
b2f42395c99cb32b176d6e1140d0291edc965ff1 | 1,210 | py | Python | src/amuse/community/sei/test_sei.py | joshuawall/amuse | c2034074ee76c08057c4faa96c32044ab40952e9 | [
"Apache-2.0"
] | 1 | 2019-12-28T22:47:51.000Z | 2019-12-28T22:47:51.000Z | src/amuse/community/sei/test_sei.py | joshuawall/amuse | c2034074ee76c08057c4faa96c32044ab40952e9 | [
"Apache-2.0"
] | null | null | null | src/amuse/community/sei/test_sei.py | joshuawall/amuse | c2034074ee76c08057c4faa96c32044ab40952e9 | [
"Apache-2.0"
] | 2 | 2021-11-19T04:41:37.000Z | 2021-11-20T02:11:17.000Z | from amuse.test.amusetest import TestWithMPI
from amuse.units import nbody_system
from amuse.units import units
import os
import sys
import numpy
import math
from amuse.community.sei.interface import SeiInterface
from amuse.community.sei.interface import Sei
from amuse import datamodel
class TestSeiInterface(TestWithMPI):
def test0(self):
instance = SeiInterface()
instance.initialization()
instance.set_state(0,1,0,0,0,0,0)
for i in range(0,10):
instance.evolve(i)
print instance.get_state(0)
instance.stop()
class TestSei(TestWithMPI):
def test0(self):
convert_nbody = nbody_system.nbody_to_si(1.0 | units.MSun, 1 | units.AU)
particle = datamodel.Particles(1)
particle.position = [1.0, 0.0, 0.0,]|units.AU
particle.velocity = [0.0, 2.0*3.1415926535*1.0/365, 0.0] | units.AUd
sei = Sei(convert_nbody)
sei.initialization()
sei.particles.add_particles(particle)
print sei.particles.position.x.value_in(units.AU)
for i in range(365):
sei.evolve_model(i|units.day)
print sei.particles.position.x.value_in(units.AU)
| 29.512195 | 80 | 0.661157 | 168 | 1,210 | 4.690476 | 0.345238 | 0.025381 | 0.022843 | 0.020305 | 0.208122 | 0.208122 | 0.101523 | 0.101523 | 0.101523 | 0 | 0 | 0.051948 | 0.236364 | 1,210 | 40 | 81 | 30.25 | 0.800866 | 0 | 0 | 0.125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.3125 | null | null | 0.09375 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
65036c3303afa1e8b9728043f619a82fc6c9e04f | 261 | py | Python | demo/test_scans.py | zhanwj/multi-task-pytorch | 7d57645ec8be0ca0c258cfa99fb788e3cd37f106 | [
"MIT"
] | 2 | 2019-06-11T16:16:11.000Z | 2020-07-21T10:34:40.000Z | demo/test_scans.py | zhanwj/multi-task-pytorch | 7d57645ec8be0ca0c258cfa99fb788e3cd37f106 | [
"MIT"
] | null | null | null | demo/test_scans.py | zhanwj/multi-task-pytorch | 7d57645ec8be0ca0c258cfa99fb788e3cd37f106 | [
"MIT"
] | 2 | 2019-05-21T11:07:29.000Z | 2019-06-11T16:17:02.000Z | import torch
maxdisp = 10
disp_scans = torch.arange(maxdisp).view(1,maxdisp,1,1)
zeros_scans = torch.arange(maxdisp).view(1,maxdisp,1,1)
semseg = torch.arange(16).view(4,4)
zeros_scans = torch.cat([zeros_scans.repeat(1, repeat,1, 1) for i in range(1)],dim=0)
| 32.625 | 85 | 0.731801 | 49 | 261 | 3.816327 | 0.428571 | 0.160428 | 0.171123 | 0.245989 | 0.395722 | 0.395722 | 0.395722 | 0.395722 | 0.395722 | 0 | 0 | 0.072034 | 0.095785 | 261 | 7 | 86 | 37.285714 | 0.720339 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
65054cfd998e3e6858fee00ff01c36b5dddea1ff | 383 | py | Python | models.py | collingreen/yaib_plugin_leavemessage | c1e7254edee5255167c2015ee2566f9770b35412 | [
"MIT"
] | null | null | null | models.py | collingreen/yaib_plugin_leavemessage | c1e7254edee5255167c2015ee2566f9770b35412 | [
"MIT"
] | 1 | 2015-06-06T06:28:45.000Z | 2015-06-06T06:28:45.000Z | models.py | collingreen/yaib_plugin_leavemessage | c1e7254edee5255167c2015ee2566f9770b35412 | [
"MIT"
] | null | null | null | from sqlalchemy import Table, Column, String, DateTime, Text
from modules.persistence import Base, getModelBase
CustomBase = getModelBase('leavemessage')
class Message(Base, CustomBase):
user = Column(String(200))
nick = Column(String(100))
message_time = Column(DateTime)
to_nick = Column(String(100))
channel = Column(String(50))
message = Column(Text)
| 25.533333 | 60 | 0.723238 | 45 | 383 | 6.111111 | 0.533333 | 0.218182 | 0.116364 | 0.138182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034591 | 0.169713 | 383 | 14 | 61 | 27.357143 | 0.830189 | 0 | 0 | 0 | 0 | 0 | 0.031332 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.9 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
65106635994d91a479c18b140e8932588b6e8457 | 2,385 | py | Python | result/forms.py | Uqhs-1/uqhs | 1c7199d8c23a9d9eb3f75b1e36633a145fd2cd40 | [
"MIT"
] | 3 | 2020-06-16T20:03:31.000Z | 2021-01-17T20:45:51.000Z | result/forms.py | Uqhs-1/uqhs | 1c7199d8c23a9d9eb3f75b1e36633a145fd2cd40 | [
"MIT"
] | 8 | 2020-02-08T09:04:08.000Z | 2021-06-09T18:31:03.000Z | result/forms.py | Uqhs-1/uqhs | 1c7199d8c23a9d9eb3f75b1e36633a145fd2cd40 | [
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 23 08:25:37 2019
@author: AdeolaOlalekan
"""
from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from .models import BTUTOR, CNAME, Edit_User, QSUBJECT, Post
class login_form(forms.Form):
username = forms.CharField(max_length=18)#, help_text="Just type 'renew'")
password1 = forms.CharField(widget=forms.PasswordInput)#
def clean_data(self):
data = self.cleaned_data['username']
data = self.cleaned_data['password1']
return data
###############################################################################
class ProfileForm(forms.ModelForm):
class Meta:
model = Edit_User
fields = ('title', 'first_name', 'last_name', 'bio', 'phone', 'city', 'country', 'organization', 'location', 'birth_date', 'department', 'photo',)
exclude = ['user']
class SignUpForm(UserCreationForm):
email = forms.EmailField(max_length=254, help_text='Required for a valid signup!')
class Meta:
model = User
fields = ('username', 'email', 'password1', 'password2')
def save(self, commit=True):
user = super(SignUpForm, self).save(commit=False)
user.email = self.cleaned_data['email']
user.password = self.cleaned_data['password1']
if commit:
user.save()
return user
class subject_class_term_Form(forms.ModelForm):
class Meta:
model = BTUTOR
fields = ('Class', 'subject',)
class class_term(forms.ModelForm):
class Meta:
model = BTUTOR
fields = ('Class', 'term', )
class PostForm(forms.ModelForm):
class Meta:
model = Post
fields = ('Account_Username', 'subject', 'text')
class a_student_form_new(forms.ModelForm):
class Meta:
model = QSUBJECT
fields = ('student_name','test', 'agn','atd', 'exam','tutor',)
class student_name(forms.ModelForm):
class Meta:
model = CNAME
fields = ('last_name', 'first_name', 'gender', "birth_date",)
class new_student_name(forms.Form):
student_name = forms.CharField(help_text="enter student's surename to search.")
def clean_renewal_date(self):
data = self.cleaned_data['student_name']
return data
# | 29.8125 | 154 | 0.609224 | 267 | 2,385 | 5.307116 | 0.393258 | 0.04446 | 0.06916 | 0.097389 | 0.175018 | 0.063514 | 0.063514 | 0.063514 | 0 | 0 | 0 | 0.012575 | 0.233124 | 2,385 | 80 | 155 | 29.8125 | 0.762165 | 0.048218 | 0 | 0.207547 | 0 | 0 | 0.157556 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056604 | false | 0.075472 | 0.075472 | 0 | 0.566038 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 |
651f360c505b719ccafc01d1fe50f1f24c9b71d7 | 117 | py | Python | pype/modules/idle_manager/__init__.py | simonebarbieri/pype | a6dc83aa1300738749cbe8e5e2e6d2d1794e0289 | [
"MIT"
] | null | null | null | pype/modules/idle_manager/__init__.py | simonebarbieri/pype | a6dc83aa1300738749cbe8e5e2e6d2d1794e0289 | [
"MIT"
] | null | null | null | pype/modules/idle_manager/__init__.py | simonebarbieri/pype | a6dc83aa1300738749cbe8e5e2e6d2d1794e0289 | [
"MIT"
] | null | null | null | from .idle_module import (
IdleManager,
IIdleManager
)
__all__ = (
"IdleManager",
"IIdleManager"
)
| 10.636364 | 26 | 0.632479 | 9 | 117 | 7.666667 | 0.777778 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.264957 | 117 | 10 | 27 | 11.7 | 0.802326 | 0 | 0 | 0 | 0 | 0 | 0.196581 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
652012211d75f39757469a76ffbd1e2d590d912a | 289 | py | Python | server/src/tests/samples/typeConstraint3.py | higoshi/pyright | 183c0ef56d2c010d28018149949cda1a40aa59b8 | [
"MIT"
] | null | null | null | server/src/tests/samples/typeConstraint3.py | higoshi/pyright | 183c0ef56d2c010d28018149949cda1a40aa59b8 | [
"MIT"
] | null | null | null | server/src/tests/samples/typeConstraint3.py | higoshi/pyright | 183c0ef56d2c010d28018149949cda1a40aa59b8 | [
"MIT"
] | null | null | null | # This sample exercises the type analyzer's assert type constraint logic.
from typing import Union
def foo(a: Union[str, int]) -> int:
if True:
# This should generate an error because
# a could be a str.
return a
assert isinstance(a, int)
return a
| 19.266667 | 73 | 0.643599 | 43 | 289 | 4.325581 | 0.697674 | 0.075269 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.290657 | 289 | 14 | 74 | 20.642857 | 0.907317 | 0.439446 | 0 | 0.333333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6524869e78875d68bc7830017790dd24a2253209 | 738 | py | Python | app/libpinanny/__init__.py | MelonSmasher/piNanny | 2bc3a7b5eda83615e21518a2f36c3844b241d201 | [
"MIT"
] | null | null | null | app/libpinanny/__init__.py | MelonSmasher/piNanny | 2bc3a7b5eda83615e21518a2f36c3844b241d201 | [
"MIT"
] | 2 | 2021-03-10T05:28:36.000Z | 2021-09-02T05:40:44.000Z | app/libpinanny/__init__.py | MelonSmasher/piNanny | 2bc3a7b5eda83615e21518a2f36c3844b241d201 | [
"MIT"
] | null | null | null | from subprocess import PIPE, Popen
# Converts celsius temps to fahrenheit
def c2f(celsius):
return (9.0 / 5) * celsius + 32
# Gets the CPU temperature in degrees C
def get_cpu_temperature():
process = Popen(['vcgencmd', 'measure_temp'], stdout=PIPE)
output, _error = process.communicate()
return float(str(str(output).split('=')[1]).split("'")[0])
def debugOutCFH(sensor, valueC, valueF, valueH):
print('Debug Values [' + sensor + ']:')
print('C: ' + str(valueC))
print('F: ' + str(valueF))
print('H: ' + str(valueH) + '%')
print('')
def debugOutCF(sensor, valueC, valueF):
print('Debug Values [' + sensor + ']:')
print('C: ' + str(valueC))
print('F: ' + str(valueF))
print('')
| 25.448276 | 62 | 0.609756 | 91 | 738 | 4.901099 | 0.527473 | 0.073991 | 0.080717 | 0.098655 | 0.255605 | 0.255605 | 0.255605 | 0.255605 | 0.255605 | 0.255605 | 0 | 0.013582 | 0.201897 | 738 | 28 | 63 | 26.357143 | 0.743633 | 0.100271 | 0 | 0.444444 | 0 | 0 | 0.1059 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.222222 | false | 0 | 0.055556 | 0.055556 | 0.388889 | 0.5 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
6526bd14e91e02ab2897caf04024aa618b204008 | 956 | py | Python | automon/integrations/slack/config.py | TheShellLand/automonisaur | b5f304a44449b8664c93d8a8a3c3cf2d73aa0ce9 | [
"MIT"
] | 2 | 2021-09-15T18:35:44.000Z | 2022-01-18T05:36:54.000Z | automon/integrations/slack/config.py | TheShellLand/automonisaur | b5f304a44449b8664c93d8a8a3c3cf2d73aa0ce9 | [
"MIT"
] | 16 | 2021-08-29T22:51:53.000Z | 2022-03-09T16:08:19.000Z | automon/integrations/slack/config.py | TheShellLand/automonisaur | b5f304a44449b8664c93d8a8a3c3cf2d73aa0ce9 | [
"MIT"
] | null | null | null | import os
from automon.log import Logging
log = Logging(name=__name__, level=Logging.ERROR)
class ConfigSlack:
slack_name = os.getenv('SLACK_USER') or ''
slack_webhook = os.getenv('SLACK_WEBHOOK') or ''
slack_proxy = os.getenv('SLACK_PROXY') or ''
slack_token = os.getenv('SLACK_TOKEN') or ''
SLACK_DEFAULT_CHANNEL = os.getenv('SLACK_DEFAULT_CHANNEL') or ''
SLACK_INFO_CHANNEL = os.getenv('SLACK_INFO_CHANNEL') or ''
SLACK_DEBUG_CHANNEL = os.getenv('SLACK_DEBUG_CHANNEL') or ''
SLACK_ERROR_CHANNEL = os.getenv('SLACK_ERROR_CHANNEL') or ''
SLACK_CRITICAL_CHANNEL = os.getenv('SLACK_CRITICAL_CHANNEL') or ''
SLACK_WARN_CHANNEL = os.getenv('SLACK_WARN_CHANNEL') or ''
SLACK_TEST_CHANNEL = os.getenv('SLACK_TEST_CHANNEL') or ''
if not slack_token:
log.warn(f'missing SLACK_TOKEN')
def __init__(self, slack_name: str = ''):
self.slack_name = os.getenv('SLACK_USER') or slack_name or ''
| 35.407407 | 70 | 0.707113 | 134 | 956 | 4.671642 | 0.246269 | 0.153355 | 0.249201 | 0.223642 | 0.105431 | 0.105431 | 0.105431 | 0.105431 | 0 | 0 | 0 | 0 | 0.167364 | 956 | 26 | 71 | 36.769231 | 0.786432 | 0 | 0 | 0 | 0 | 0 | 0.218619 | 0.044979 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.105263 | 0 | 0.789474 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
652a2bec3a1bbb15dcd3f0465f2e3a5760856d24 | 182 | py | Python | z2z_metadata/__init__.py | Mitchellpkt/z2z-metadata | 261a694225efc21d65a9f3be69a9017bbc29864e | [
"MIT"
] | null | null | null | z2z_metadata/__init__.py | Mitchellpkt/z2z-metadata | 261a694225efc21d65a9f3be69a9017bbc29864e | [
"MIT"
] | null | null | null | z2z_metadata/__init__.py | Mitchellpkt/z2z-metadata | 261a694225efc21d65a9f3be69a9017bbc29864e | [
"MIT"
] | null | null | null | """Top-level package for z2z Metadata analysis."""
__author__ = """Isthmus // Mitchell P. Krawiec-Thayer"""
__email__ = 'project_z2z_metadata@mitchellpkt.com'
__version__ = '0.0.1'
| 30.333333 | 56 | 0.730769 | 23 | 182 | 5.173913 | 0.869565 | 0.184874 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030864 | 0.10989 | 182 | 5 | 57 | 36.4 | 0.703704 | 0.241758 | 0 | 0 | 0 | 0 | 0.590909 | 0.272727 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
653275e0a6bf64ffd7bef701a34270c76bd37631 | 1,854 | py | Python | clisk/player/player.py | etano/clisk | 70067eb98568a97d896ee486bae56b49c77bcb11 | [
"MIT"
] | null | null | null | clisk/player/player.py | etano/clisk | 70067eb98568a97d896ee486bae56b49c77bcb11 | [
"MIT"
] | null | null | null | clisk/player/player.py | etano/clisk | 70067eb98568a97d896ee486bae56b49c77bcb11 | [
"MIT"
] | null | null | null | class Player(object):
"""Player class
Attributes:
name (str): Player name
"""
def __init__(self, name):
"""Initialize player
Args:
name (str): Player name
"""
self.name = name
def place_troops(self, board, n_troops):
"""Place troops on territories
Args:
board (Gameboard): The gameboard
n_troops (int): Number of new troops to deploy
Returns:
(dict(str, int)): Dictionary of territories with number of troops to be deployed
"""
raise NotImplementedError('place_troops not implemented')
def do_attack(self, board):
"""Decide whether or not to continue attacking
Args:
board (Gameboard): The gameboard
Returns:
(bool): Whether or not to continue attacking
"""
raise NotImplementedError('do_attack not implemented')
def attack(self, board):
"""Attack phase
Args:
board (Gameboard): The gameboard
Returns:
(str, str): from_territory, to_territory
"""
raise NotImplementedError('attack not implemented')
def do_move_troops(self, board):
"""Decide whether or not to move troops
Args:
board (Gameboard): The gameboard
Returns:
(bool): Whether or not to move troops
"""
raise NotImplementedError('do_move_troops not implemented')
def move_troops(self, board):
"""Troop movement phase
Args:
board (Gameboard): The gameboard
Returns:
(str, str, int): from_territory, to_territory, n_troops
"""
raise NotImplementedError('move_troops not implemented')
| 26.112676 | 95 | 0.553937 | 185 | 1,854 | 5.437838 | 0.264865 | 0.059642 | 0.089463 | 0.104374 | 0.345924 | 0.316103 | 0.262425 | 0.204771 | 0.204771 | 0.109344 | 0 | 0 | 0.364078 | 1,854 | 70 | 96 | 26.485714 | 0.853265 | 0.459008 | 0 | 0 | 0 | 0 | 0.205928 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.461538 | false | 0 | 0 | 0 | 0.538462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
6532a25e13d94b833b61abb8bf5f04bc39b60efe | 91 | py | Python | bai03.py | trietto/python | b89b990fc509228445157465f6af3371c4b4d159 | [
"Apache-2.0"
] | null | null | null | bai03.py | trietto/python | b89b990fc509228445157465f6af3371c4b4d159 | [
"Apache-2.0"
] | null | null | null | bai03.py | trietto/python | b89b990fc509228445157465f6af3371c4b4d159 | [
"Apache-2.0"
] | null | null | null | n=int(input("Nhap vao mot so:"))
d=dict()
for i in range(1, n+1):
d[i]=i*i
print(d) | 18.2 | 32 | 0.549451 | 22 | 91 | 2.272727 | 0.681818 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027778 | 0.208791 | 91 | 5 | 33 | 18.2 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0.173913 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.2 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6536be01b7eb4b8a845b975aa35e3be000f854f3 | 1,182 | py | Python | lib/googlecloudsdk/command_lib/filestore/operations/flags.py | bshaffer/google-cloud-sdk | f587382fd112f238c0d6d5ca3dab8f52d2b5c5f9 | [
"Apache-2.0"
] | null | null | null | lib/googlecloudsdk/command_lib/filestore/operations/flags.py | bshaffer/google-cloud-sdk | f587382fd112f238c0d6d5ca3dab8f52d2b5c5f9 | [
"Apache-2.0"
] | null | null | null | lib/googlecloudsdk/command_lib/filestore/operations/flags.py | bshaffer/google-cloud-sdk | f587382fd112f238c0d6d5ca3dab8f52d2b5c5f9 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*- #
# Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Flags and helpers for the Cloud Filestore operations commands."""
from __future__ import unicode_literals
OPERATIONS_LIST_FORMAT = """\
table(
name.basename():label=OPERATION_NAME,
name.segment(3):label=LOCATION,
metadata.verb:label=TYPE,
metadata.target.basename(),
done.yesno(yes='DONE', no='RUNNING'):label=STATUS,
metadata.createTime.date():sort=1,
duration(start=metadata.createTime,end=metadata.endTime,precision=0,calendar=false).slice(2:).join("").yesno(no="<1S"):label=DURATION
)"""
| 40.758621 | 141 | 0.716582 | 163 | 1,182 | 5.147239 | 0.699387 | 0.071514 | 0.030989 | 0.038141 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014242 | 0.168359 | 1,182 | 28 | 142 | 42.214286 | 0.839268 | 0.554146 | 0 | 0 | 0 | 0.090909 | 0.826087 | 0.664032 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.090909 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
e8e431aaa0e0c0342df0906099d3bfe584c4dc40 | 262 | py | Python | MUNDO 1/ex023.py | athavus/Curso-em-video-Python-3 | a32be95adbccfcbe512a1ed30d3859141a230b5e | [
"MIT"
] | 1 | 2020-11-12T14:03:32.000Z | 2020-11-12T14:03:32.000Z | MUNDO 1/ex023.py | athavus/Curso-em-video-Python-3 | a32be95adbccfcbe512a1ed30d3859141a230b5e | [
"MIT"
] | null | null | null | MUNDO 1/ex023.py | athavus/Curso-em-video-Python-3 | a32be95adbccfcbe512a1ed30d3859141a230b5e | [
"MIT"
] | 1 | 2021-01-05T22:18:46.000Z | 2021-01-05T22:18:46.000Z | n1 = int(input('Digite um número entre 0 e 9999: '))
u = n1 // 1 % 10
d = n1 // 10 % 10
c = n1 // 100 % 10
m = n1 // 1000 % 10
print(f'Analisando o número {n1}')
print(f'unidade: {u}')
print(f'dezena: {d}')
print(f'centena: {c}')
print(f'milhar: {m}')
| 23.818182 | 53 | 0.549618 | 48 | 262 | 3 | 0.541667 | 0.208333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.143564 | 0.229008 | 262 | 10 | 54 | 26.2 | 0.569307 | 0 | 0 | 0 | 0 | 0 | 0.40873 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
e8f09f4acc1e578e6bbb291e4f8a3a87b3a0b297 | 908 | py | Python | chat/views.py | xiaoqiao99/chat | ca65ed25fbc277828390b890a50ecadf4675cfb4 | [
"MIT"
] | 2 | 2019-06-21T10:30:18.000Z | 2019-07-12T07:46:25.000Z | chat/views.py | xiaoqiao99/chat | ca65ed25fbc277828390b890a50ecadf4675cfb4 | [
"MIT"
] | 8 | 2020-06-05T19:56:53.000Z | 2022-03-11T23:41:44.000Z | chat/views.py | xiaoqiao99/chat | ca65ed25fbc277828390b890a50ecadf4675cfb4 | [
"MIT"
] | 3 | 2020-03-13T03:22:40.000Z | 2020-07-03T03:03:02.000Z | from django.shortcuts import render
# Create your views here.
# chat/views.py
from django.shortcuts import render
from django.utils.safestring import mark_safe
import json
from chat.models import Room
def index(request):
# from channels.layers import get_channel_layer
# from asgiref.sync import async_to_sync
# channel_layer = get_channel_layer()
# async_to_sync(channel_layer.group_send)(
# "chat_lobby",
# {
# 'type': 'chat.message',
# 'message': "6666666yyyyy66666666"
# }
# )
# r = Room.objects.filter(id=46).update(name="33333333") # 如果信号中使用post＿save 此更新不会出发信号机制
r = Room()
r.name = "xiao"
r.label = "qq "
r.save()
return render(request, 'chat/index.html', {})
def room(request, room_name):
return render(request, 'chat/room.html', {
'room_name_json': mark_safe(json.dumps(room_name))
}) | 27.515152 | 93 | 0.654185 | 115 | 908 | 5.008696 | 0.46087 | 0.083333 | 0.065972 | 0.086806 | 0.1875 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035461 | 0.223568 | 908 | 33 | 94 | 27.515152 | 0.78156 | 0.429515 | 0 | 0.133333 | 0 | 0 | 0.099602 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.333333 | 0.066667 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
e8fc72a77fdd416f9afae8ddad6132491cc5fabf | 4,405 | py | Python | c4/system/history.py | Brewgarten/c4-system-manager | 6fdec33ced4b1cb32d82a24cd168447a899b7e10 | [
"MIT"
] | null | null | null | c4/system/history.py | Brewgarten/c4-system-manager | 6fdec33ced4b1cb32d82a24cd168447a899b7e10 | [
"MIT"
] | 1 | 2017-10-17T21:51:40.000Z | 2017-10-17T21:51:40.000Z | c4/system/history.py | Brewgarten/c4-system-manager | 6fdec33ced4b1cb32d82a24cd168447a899b7e10 | [
"MIT"
] | null | null | null | """
Copyright (c) IBM 2015-2017. All Rights Reserved.
Project name: c4-system-manager
This project is licensed under the MIT License, see LICENSE
"""
from abc import ABCMeta, abstractmethod
class DeviceHistory(object):
"""
Device manager history
"""
__metaclass__ = ABCMeta
@abstractmethod
def add(self, node, name, status, ttl=None):
"""
Add status for device manager with specified name on specified node
:param node: node name
:type node: str
:param name: device manager name
:type name: str
:param status: status
:type status: :class:`DeviceManagerStatus`
:param ttl: time to live (in seconds), infinite by default
:type ttl: int
"""
@abstractmethod
def get(self, node, name, limit=None):
"""
Get status history for device manager with specified name on specified node
:param node: node name
:type node: str
:param name: device manager name
:type name: str
:param limit: number of statuses to return
:type limit: int
:returns: list of history entries
:rtype: [:class:`Entry`]
"""
@abstractmethod
def getAll(self):
"""
Get status history for all device managers on all nodes
:returns: list of history entries
:rtype: [:class:`Entry`]
"""
@abstractmethod
def getLatest(self, node, name):
"""
Get latest status for device manager with specified name on specified node
:param node: node name
:type node: str
:param name: device manager name
:type name: str
:returns: history entry
:rtype: :class:`Entry`
"""
@abstractmethod
def remove(self, node=None, name=None):
"""
Remove status history for device managers with specified names on specified nodes.
node and name:
remove history for specific device on a specific node
node and no name
remove history for all devices on a specific node
no node and name
remove history for specific device on all nodes
no node and no name
remove history for all devices on all nodes
:param node: node name
:type node: str
:param name: device manager name
:type name: str
"""
class Entry(object):
"""
History entry with timestamp and status information
:param timestamp: datetime instance
:type timestamp: :class:`Datetime`
:param status: status
:type status: :class:`SystemManagerStatus` or :class:`DeviceManagerStatus`
"""
def __init__(self, timestamp, status):
self.timestamp = timestamp
self.status = status
class NodeHistory(object):
"""
System manager history
"""
__metaclass__ = ABCMeta
@abstractmethod
def add(self, node, status, ttl=None):
"""
Add status for system manager with on specified node
:param node: node name
:type node: str
:param status: status
:type status: :class:`SystemManagerStatus`
:param ttl: time to live (in seconds), infinite by default
:type ttl: int
"""
@abstractmethod
def get(self, node, limit=None):
"""
Get status history for system manager on specified node
:param node: node name
:type node: str
:param limit: number of statuses to return
:type limit: int
:returns: list of history entries
:rtype: [:class:`Entry`]
"""
@abstractmethod
def getAll(self):
"""
Get status history for all system managers on all nodes
:returns: list of history entries
:rtype: [:class:`Entry`]
"""
@abstractmethod
def getLatest(self, node):
"""
Get latest status for system manager on specified node
:param node: node name
:type node: str
:returns: history entry
:rtype: :class:`Entry`
"""
@abstractmethod
def remove(self, node=None):
"""
Remove status history for system managers on specified nodes.
node:
remove history for specific node
no node
remove history for all nodes
:param node: node name
:type node: str
"""
| 26.065089 | 90 | 0.595687 | 506 | 4,405 | 5.162055 | 0.171937 | 0.036753 | 0.039816 | 0.052067 | 0.743492 | 0.725115 | 0.690276 | 0.642802 | 0.642802 | 0.548622 | 0 | 0.003031 | 0.325993 | 4,405 | 168 | 91 | 26.220238 | 0.876726 | 0.604994 | 0 | 0.482759 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.37931 | false | 0 | 0.034483 | 0 | 0.586207 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
330bcb8284fec7ff83c5b51b2973e481ae9b2a12 | 1,376 | py | Python | app/main/models/utils.py | tmeftah/e-invoice | 7cfe31e9391eb60ab3d06f0055bd2f1e9a524971 | [
"MIT"
] | 2 | 2019-06-10T19:30:06.000Z | 2020-04-30T01:05:04.000Z | app/main/models/utils.py | tmeftah/e-invoice | 7cfe31e9391eb60ab3d06f0055bd2f1e9a524971 | [
"MIT"
] | null | null | null | app/main/models/utils.py | tmeftah/e-invoice | 7cfe31e9391eb60ab3d06f0055bd2f1e9a524971 | [
"MIT"
] | 3 | 2019-01-23T21:37:29.000Z | 2020-04-08T13:22:29.000Z | from datetime import datetime
import sqlalchemy as sa
from flask_sqlalchemy import Model
from sqlalchemy import ForeignKey
from sqlalchemy.ext.declarative import declared_attr
from sqlalchemy.orm import relationship
from app.main.extensions import db
class BaseMixin(Model):
def save_to_db(self):
try:
db.session.add(self)
db.session.commit()
except:
db.session.rollback()
raise
def delete_from_db(self):
try:
db.session.delete(self)
db.session.commit()
except:
db.session.rollback()
raise
class UserMixin(BaseMixin, Model):
@declared_attr
def createdAt(cls):
return sa.Column(sa.DateTime, default=datetime.utcnow)
@declared_attr
def updateAt(cls):
return sa.Column(sa.DateTime)
@declared_attr
def createdBy_id(cls):
return sa.Column(sa.Integer, ForeignKey('users.id'),
nullable=False)
@declared_attr
def updatedBy_id(cls):
return sa.Column(sa.Integer, ForeignKey('users.id'))
@declared_attr
def createdBy(cls):
return relationship(
'UserModel', foreign_keys=[cls.createdBy_id])
@declared_attr
def updatedBy(cls):
return relationship(
'UserModel', foreign_keys=[cls.updatedBy_id])
| 23.322034 | 62 | 0.634448 | 157 | 1,376 | 5.44586 | 0.324841 | 0.098246 | 0.105263 | 0.079532 | 0.423392 | 0.381287 | 0.318129 | 0.215205 | 0.215205 | 0.105263 | 0 | 0 | 0.277616 | 1,376 | 58 | 63 | 23.724138 | 0.860161 | 0 | 0 | 0.409091 | 0 | 0 | 0.024709 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.159091 | 0.136364 | 0.522727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
33119609fa28c4ed894cccea42375ff194c70e59 | 4,719 | py | Python | mboxstats/mboxstats.py | ruettet/mailboxstatistics | ba1296ca441ab646fc92b9bcc5962a8ccf532f19 | [
"Apache-2.0"
] | null | null | null | mboxstats/mboxstats.py | ruettet/mailboxstatistics | ba1296ca441ab646fc92b9bcc5962a8ccf532f19 | [
"Apache-2.0"
] | null | null | null | mboxstats/mboxstats.py | ruettet/mailboxstatistics | ba1296ca441ab646fc92b9bcc5962a8ccf532f19 | [
"Apache-2.0"
] | null | null | null | import codecs
import locale
from mailbox import mbox
from re import sub
from re import compile
from re import IGNORECASE
from datetime import datetime
from collections import Counter
class MailboxStatistics(object):
def __init__(self):
""" Generic MailboxStatistics object that contains the statistics calculations. """
self.mailbox = []
def get_number_of_mails(self):
return len(self.mailbox)
def __get_from_values(self):
return [message['from'] for message in self.mailbox]
def get_from_value_counts(self):
"""
:return: A Counter object with the frequency of all possible 'from' values.
"""
return Counter(self.__get_from_values())
def __get_to_values(self):
return [message['to'] for message in self.mailbox]
def get_to_value_counts(self):
"""
:return: A Counter object with the frequency of all possible 'to' value
"""
return Counter(self.__get_to_values())
def get_number_of_mails_per_hour(self):
"""
:return: A Counter object with the amount of mails received per hour.
"""
return Counter([message['sent'].strftime('%Y-%m-%d %H') for message in self.mailbox])
def get_number_of_mails_per_hour_of_day(self):
"""
:return: A Counter object with the total amount of mail per hour of the day [00 - 23].
"""
return Counter([message['sent'].strftime('%H') for message in self.mailbox])
def get_number_of_mails_per_day(self):
"""
:return: A Counter object with the amount of mail per day.
"""
return Counter([message['sent'].strftime('%Y-%m-%d') for message in self.mailbox])
def get_number_of_mails_per_weekday(self):
"""
:return: A Counter object the amount of mails per week day [0 - 6].
"""
return Counter([message['sent'].weekday() for message in self.mailbox])
def __get_subject_tokens(self):
return [token for message in self.mailbox for token in message['subject'].split()]
def get_subject_token_frequencies(self):
"""
:return: A Counter object with the frequencies of the (lowercased) tokens in the subject line.
"""
return Counter(self.__get_subject_tokens())
# TODO def get_subject_token_frequencies_by_from_values(self):
# TODO def get_igraph(self):
# TODO def get_igraph_edgelist(self):
# TODO def filter_mailbox_on_to_values(self, to_values=[], operator='or', strict=True):
# TODO def filter_mailbox_on_from_value(self, from_value=compile('', IGNORECASE)):
class OutlookMailboxStatistics(MailboxStatistics):
def __init__(self, path_to_mbox_file, mbox_file_encoding, mbox_file_datetime_locale, mbox_file_datetime_format):
""" Parses the text file that results from saving (multiple) messages in MS Outlook as text.
:param path_to_mbox_file: full path to mbox file
:param mbox_file_encoding: encoding of mbox file, for MS Outlook, this is typically latin1
:param mbox_file_datetime_locale: locale to be used for parsing the datetime field
:param mbox_file_datetime_format: format of the datetime string for parsing
"""
MailboxStatistics.__init__(self)
with codecs.open(path_to_mbox_file, 'r', mbox_file_encoding) as mailbox_file:
self.raw_messages = mailbox_file.read().split("From:\t")
for raw_message in self.raw_messages:
if len(raw_message.split('\n')) > 5:
message = {'from': raw_message.split('\n')[0].strip()}
to_line = compile('To:\t(.+?)\r\n').findall(raw_message)
message['to'] = [sub('[\'"]', '', item).strip()
for item in to_line[0].split(';')] if len(to_line) > 0 else []
locale.setlocale(locale.LC_ALL, mbox_file_datetime_locale)
message['sent'] = datetime.strptime(compile('Sent:\t(.+?)\r\n').findall(raw_message)[0],
mbox_file_datetime_format)
locale.resetlocale()
subject_line = compile('Subject:\t(.+?)\r\n').findall(raw_message)
message['subject'] = sub('(re|fw):', '', subject_line[0].lower()) if len(subject_line) > 0 else 'NA'
self.mailbox.append(message)
# class GMailMailboxStatistics(MailboxStatistics):
# def __init__(self, path_to_mbox_file):
# """ Parses the mbox file that results from a gmail export.
# :param path_to_mbox_file: full path to the downloaded mbox file
# """
# MailboxStatistics.__init__(self)
# self.mailbox = mbox(path_to_mbox_file) | 43.293578 | 116 | 0.647171 | 618 | 4,719 | 4.68932 | 0.20712 | 0.05245 | 0.038647 | 0.046929 | 0.376121 | 0.291235 | 0.284334 | 0.204279 | 0.118357 | 0.091442 | 0 | 0.003922 | 0.243484 | 4,719 | 109 | 117 | 43.293578 | 0.807843 | 0.342022 | 0 | 0 | 0 | 0 | 0.049653 | 0 | 0 | 0 | 0 | 0.009174 | 0 | 1 | 0.254902 | false | 0 | 0.156863 | 0.078431 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
331f06145206acb198e0044dbd6333cd441dd2cf | 1,073 | py | Python | doc/programming/parts/python-columninfo.py | laigor/sqlrelay-non-english-fixes- | 7803f862ddbf88bca078c50d621c64c22fc0a405 | [
"PHP-3.01",
"CC-BY-3.0"
] | 16 | 2018-04-23T09:58:33.000Z | 2022-01-31T13:40:20.000Z | doc/programming/parts/python-columninfo.py | laigor/sqlrelay-non-english-fixes- | 7803f862ddbf88bca078c50d621c64c22fc0a405 | [
"PHP-3.01",
"CC-BY-3.0"
] | null | null | null | doc/programming/parts/python-columninfo.py | laigor/sqlrelay-non-english-fixes- | 7803f862ddbf88bca078c50d621c64c22fc0a405 | [
"PHP-3.01",
"CC-BY-3.0"
] | 4 | 2020-12-23T12:17:54.000Z | 2022-01-04T20:46:34.000Z | from SQLRelay import PySQLRClient
con=PySQLRClient.sqlrconnection('sqlrserver',9000,'/tmp/example.socket','user','password',0,1)
cur=PySQLRClient.sqlrcursor(con)
cur.sendQuery('select * from my_table')
con.endSession()
for i in range(0,cur.colCount()-1):
print 'Name: ', cur.getColumnName(i)
print 'Type: ', cur.getColumnType(i)
print 'Length: ', cur.getColumnLength(i)
print 'Precision: ', cur.getColumnPrecision(i)
print 'Scale: ', cur.getColumnScale(i)
print 'Longest Field: ', cur.getLongest(i)
print 'Nullable: ', cur.getColumnIsNullable(i)
print 'Primary Key: ', cur.getColumnIsPrimaryKey(i)
print 'Unique: ', cur.getColumnIsUnique(i)
print 'Part Of Key: ', cur.getColumnIsParyOfKey(i)
print 'Unsigned: ', cur.getColumnIsUnsigned(i)
print 'Zero Filled: ', cur.getColumnIsZeroFilled(i)
print 'Binary: ', cur.getColumnIsBinary(i)
print 'Auto Increment:', cur.getColumnIsAutoIncrement(i)
| 44.708333 | 94 | 0.629077 | 112 | 1,073 | 6.017857 | 0.544643 | 0.115727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009816 | 0.240447 | 1,073 | 23 | 95 | 46.652174 | 0.817178 | 0 | 0 | 0 | 0 | 0 | 0.254427 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.05 | 0.05 | null | null | 0.7 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
33257a0af8469e27f7a0ccf12276dbf023a6e9b0 | 276 | py | Python | pythonx/lints/vim/vint.py | maralla/validator.vim | fd5ec0891cbd035bd572e74d684b8afd852b87bf | [
"MIT"
] | 255 | 2016-09-08T12:12:26.000Z | 2022-03-10T01:50:06.000Z | pythonx/lints/vim/vint.py | maralla/vim-fixup | fd5ec0891cbd035bd572e74d684b8afd852b87bf | [
"MIT"
] | 56 | 2016-09-09T05:53:24.000Z | 2020-11-11T16:02:05.000Z | pythonx/lints/vim/vint.py | maralla/vim-linter | fd5ec0891cbd035bd572e74d684b8afd852b87bf | [
"MIT"
] | 23 | 2016-09-09T13:37:51.000Z | 2019-04-08T22:31:24.000Z | # -*- coding: utf-8 -*-
from validator import Validator
class VimVint(Validator):
__filetype__ = 'vim'
checker = 'vint'
args = '-w --no-color'
regex = r"""
.+?:
(?P<lnum>\d+):
(?P<col>\d+):
\s(?P<text>.+)"""
| 17.25 | 31 | 0.434783 | 29 | 276 | 4 | 0.827586 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005556 | 0.347826 | 276 | 15 | 32 | 18.4 | 0.638889 | 0.076087 | 0 | 0 | 0 | 0 | 0.462451 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
3335e848cff8038f4a309c43400a1a6a921170c6 | 985 | py | Python | isomyr/tests/test_thing.py | dave-leblanc/isomyr | 2eae8067687408ba48e0a88de97fbd4fe6d57848 | [
"BSD-3-Clause"
] | null | null | null | isomyr/tests/test_thing.py | dave-leblanc/isomyr | 2eae8067687408ba48e0a88de97fbd4fe6d57848 | [
"BSD-3-Clause"
] | null | null | null | isomyr/tests/test_thing.py | dave-leblanc/isomyr | 2eae8067687408ba48e0a88de97fbd4fe6d57848 | [
"BSD-3-Clause"
] | null | null | null | from unittest import TestCase
from isomyr.thing import Thing
from isomyr.world.world import Scene
class ThingOfThingsRemoveObjectTestCase(TestCase):
def setUp(self):
self.scene = Scene(0)
self.scene.addObject(Thing(name="apple"))
self.scene.addObject(Thing(name="orange"))
self.scene.addObject(Thing())
def test_byName(self):
self.assertEquals(len(self.scene.objectList), 3)
result = self.scene.removeObject(name="apple")
self.assertEquals(result, True)
self.assertEquals(len(self.scene.objectList), 2)
def test_byInstance(self):
self.assertEquals(len(self.scene.objectList), 3)
instance = self.scene.getObject("orange")
result = self.scene.removeObject(instance=instance)
self.assertEquals(result, True)
self.assertEquals(len(self.scene.objectList), 2)
def test_byNameWithNotFoundError(self):
pass
def test_withNoIndexError(self):
pass
| 29.848485 | 59 | 0.684264 | 112 | 985 | 5.982143 | 0.303571 | 0.147761 | 0.113433 | 0.137313 | 0.423881 | 0.343284 | 0.343284 | 0.343284 | 0.214925 | 0.214925 | 0 | 0.006378 | 0.204061 | 985 | 32 | 60 | 30.78125 | 0.848214 | 0 | 0 | 0.333333 | 0 | 0 | 0.022335 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.208333 | false | 0.083333 | 0.125 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
33442932bed34ae8a7cfa58a82b7cd61d3e5042f | 145 | py | Python | tests/conftest.py | Anishmourya/flask-restx-api | 6e64a22ce14dd97d69809c3b50cb5781918fd1d4 | [
"MIT"
] | 3 | 2020-04-01T15:10:59.000Z | 2021-09-30T13:00:20.000Z | tests/conftest.py | Anishmourya/flask-restx-api | 6e64a22ce14dd97d69809c3b50cb5781918fd1d4 | [
"MIT"
] | null | null | null | tests/conftest.py | Anishmourya/flask-restx-api | 6e64a22ce14dd97d69809c3b50cb5781918fd1d4 | [
"MIT"
] | null | null | null | import pytest
from app import create_app
@pytest.fixture
def client():
app = create_app()
client = app.test_client()
return client
| 14.5 | 30 | 0.703448 | 20 | 145 | 4.95 | 0.5 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.213793 | 145 | 9 | 31 | 16.111111 | 0.868421 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.285714 | 0 | 0.571429 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
3353952224984b77381aeb9e737b1658da3774db | 727 | py | Python | src/bioregistry/export/cli.py | biopragmatics/bioregistry | 1c994b97f5bfe7151e01edb8e6a26edbaa30f33c | [
"MIT"
] | 17 | 2021-09-14T17:58:16.000Z | 2022-03-11T06:22:11.000Z | src/bioregistry/export/cli.py | biopragmatics/bioregistry | 1c994b97f5bfe7151e01edb8e6a26edbaa30f33c | [
"MIT"
] | 148 | 2021-09-18T08:52:46.000Z | 2022-03-23T15:57:35.000Z | src/bioregistry/export/cli.py | biopragmatics/bioregistry | 1c994b97f5bfe7151e01edb8e6a26edbaa30f33c | [
"MIT"
] | 9 | 2021-09-28T20:18:53.000Z | 2022-03-14T17:23:35.000Z | # -*- coding: utf-8 -*-
"""Export the Bioregistry."""
import click
@click.command()
@click.pass_context
def export(ctx: click.Context):
"""Export the Bioregistry."""
from .prefix_maps import generate_contexts
from .rdf_export import export_rdf
from .sssom_export import export_sssom
from .tables_export import export_tables
from .tsv_export import export_tsv
from .warnings_export import export_warnings
from .yaml_export import export_yaml
ctx.invoke(export_warnings)
ctx.invoke(export_rdf)
ctx.invoke(export_tsv)
ctx.invoke(export_yaml)
ctx.invoke(export_sssom)
ctx.invoke(export_tables)
ctx.invoke(generate_contexts)
if __name__ == "__main__":
export()
| 23.451613 | 48 | 0.727648 | 95 | 727 | 5.252632 | 0.294737 | 0.126253 | 0.216433 | 0.076152 | 0.1002 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001672 | 0.177442 | 727 | 30 | 49 | 24.233333 | 0.832776 | 0.096286 | 0 | 0 | 0 | 0 | 0.012384 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0.05 | 0.4 | 0 | 0.45 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
3360e8ecae40c8b015c6b7e2a1cd267c16fb7712 | 502 | py | Python | model/combination_file.py | dokzai/WholeFoodsFrugality | 0239dca601353524af0e1b317def40cdd51e4ea3 | [
"CC0-1.0"
] | 42 | 2021-06-05T01:16:23.000Z | 2021-07-05T02:51:54.000Z | model/combination_file.py | dokzai/WholeFoodsFrugality | 0239dca601353524af0e1b317def40cdd51e4ea3 | [
"CC0-1.0"
] | 2 | 2021-06-05T19:29:06.000Z | 2021-09-01T19:10:53.000Z | model/combination_file.py | dokzai/WholeFoodsFrugality | 0239dca601353524af0e1b317def40cdd51e4ea3 | [
"CC0-1.0"
] | 6 | 2021-06-05T02:44:16.000Z | 2021-08-06T14:54:59.000Z | import model
from model import whole_foods_sale
from model import aldis_au_sale
from model import aldis_us_sale
from model import aldis_uk_sale
def go(inputs, store_name):
if store_name == 'WholeFoods':
final_df = whole_foods_sale.items_on_sale()
elif store_name == 'Aldi AU':
final_df = aldis_au_sale.items_on_sale()
elif store_name == 'Aldi US':
final_df = aldis_us_sale.items_on_sale()
elif store_name == 'Aldi UK':
final_df = aldis_uk_sale.items_on_sale()
return final_df.to_html()
| 27.888889 | 45 | 0.7749 | 87 | 502 | 4.068966 | 0.298851 | 0.127119 | 0.169492 | 0.169492 | 0.474576 | 0.271186 | 0.271186 | 0.271186 | 0 | 0 | 0 | 0 | 0.139442 | 502 | 18 | 46 | 27.888889 | 0.819444 | 0 | 0 | 0 | 0 | 0 | 0.06163 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.333333 | 0 | 0.466667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
68272da9ef5f1c688a86d4dfd33eef8b07b524c3 | 2,447 | py | Python | laceworksdk/api/run_reports.py | kiddinn/python-sdk | 23a33313f97337fddea155bcb19c8d5270fc8013 | [
"MIT"
] | 10 | 2021-03-20T18:12:16.000Z | 2022-02-14T21:33:23.000Z | laceworksdk/api/run_reports.py | kiddinn/python-sdk | 23a33313f97337fddea155bcb19c8d5270fc8013 | [
"MIT"
] | 10 | 2021-02-22T23:31:32.000Z | 2022-03-25T14:11:27.000Z | laceworksdk/api/run_reports.py | kiddinn/python-sdk | 23a33313f97337fddea155bcb19c8d5270fc8013 | [
"MIT"
] | 7 | 2021-06-18T18:17:12.000Z | 2022-03-25T13:52:14.000Z | """
Lacework Run Reports API wrapper.
"""
import logging
logger = logging.getLogger(__name__)
class RunReportsAPI(object):
"""
Lacework RunReports API.
"""
def __init__(self, session):
"""
Initializes the RunReportsAPI object.
:param session: An instance of the HttpSession class
:return RunReportsAPI object.
"""
super(RunReportsAPI, self).__init__()
self._session = session
def run_report(self,
type,
account_id):
"""
A method to initiate a compliance assessment.
:param type: A string representing the type of compliance assessment to initiate.
:param account_id: A string representing the account identifier for which to initiate a compliance assessment.
:return response json
"""
logger.info(f"Initiating '{type}' compliance assessment in Lacework...")
# Build the Run Report request URI
api_uri = f"/api/v1/external/runReport/{type}/{account_id}"
response = self._session.post(api_uri)
return response.json()
def aws(self,
aws_account_id):
"""
A method to initiate a compliance assessment for an AWS account.
:param aws_account_id: A string representing which AWS account to assess.
:return response json
"""
return self.run_report("aws", aws_account_id)
def azure(self,
azure_tenant_id):
"""
A method to initiate a compliance assessment for an Azure tenant.
:param azure_tenant_id: A string representing which Azure tenant to assess.
:return response json
"""
return self.run_report("azure", azure_tenant_id)
def gcp(self,
gcp_project_id):
"""
A method to initiate a compliance assessment for a GCP project.
:param gcp_project_id: A string representing which GCP project to assess.
:return response json
"""
return self.run_report("gcp", gcp_project_id)
def integration(self,
integration_guid):
"""
A method to run a compliance report based on a Lacework integration GUID.
:param integration_guid: A string representing the Lacework integration ID to query.
:return response json
"""
return self.run_report("integration", integration_guid)
| 25.489583 | 118 | 0.624029 | 282 | 2,447 | 5.255319 | 0.234043 | 0.016194 | 0.076923 | 0.07085 | 0.339406 | 0.24224 | 0.24224 | 0.217274 | 0.217274 | 0.060729 | 0 | 0.000585 | 0.302002 | 2,447 | 95 | 119 | 25.757895 | 0.867096 | 0.470781 | 0 | 0 | 0 | 0 | 0.120388 | 0.04466 | 0 | 0 | 0 | 0 | 0 | 1 | 0.24 | false | 0 | 0.04 | 0 | 0.52 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
68306374b036197a8b5db541b5852c5594665fb4 | 291 | py | Python | coursera/a_8_4_romeo.py | polde-live/learnpython | ff8ec96db1951d99797205d0bd491e542152a36f | [
"Unlicense"
] | null | null | null | coursera/a_8_4_romeo.py | polde-live/learnpython | ff8ec96db1951d99797205d0bd491e542152a36f | [
"Unlicense"
] | null | null | null | coursera/a_8_4_romeo.py | polde-live/learnpython | ff8ec96db1951d99797205d0bd491e542152a36f | [
"Unlicense"
] | null | null | null | # fname = raw_input("Enter file name: ")
fname = "romeo.txt"
fh = open(fname)
lst = list()
def add_to_list(words):
for word in words:
if word not in lst:
lst.append(word)
for line in fh:
words = line.split()
add_to_list(words)
lst.sort()
print lst | 17.117647 | 40 | 0.597938 | 46 | 291 | 3.673913 | 0.565217 | 0.059172 | 0.106509 | 0.16568 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.281787 | 291 | 17 | 41 | 17.117647 | 0.808612 | 0.130584 | 0 | 0 | 0 | 0 | 0.035714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6831702b54dbaea7d1289e2c3040f25037a1de8b | 262 | py | Python | third_party/pdfium/build/gyp_pdfium.py | satorumpen/node-pdfium-native | 90e5bf8bc69c80620f9f4231ebf8e39ef1178b8c | [
"BSD-2-Clause"
] | 303 | 2015-03-13T08:31:24.000Z | 2022-03-21T10:06:45.000Z | third_party/pdfium/build/gyp_pdfium.py | satorumpen/node-pdfium-native | 90e5bf8bc69c80620f9f4231ebf8e39ef1178b8c | [
"BSD-2-Clause"
] | 15 | 2015-04-03T02:33:53.000Z | 2020-01-28T10:42:29.000Z | third_party/pdfium/build/gyp_pdfium.py | satorumpen/node-pdfium-native | 90e5bf8bc69c80620f9f4231ebf8e39ef1178b8c | [
"BSD-2-Clause"
] | 100 | 2015-03-13T08:28:56.000Z | 2022-02-18T03:19:39.000Z | # Copyright 2014 PDFium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import os
path = os.path.abspath(os.path.split(__file__)[0])
execfile(os.path.join(path, 'gyp_pdfium'))
| 29.111111 | 72 | 0.751908 | 45 | 262 | 4.266667 | 0.777778 | 0.125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022321 | 0.145038 | 262 | 8 | 73 | 32.75 | 0.834821 | 0.568702 | 0 | 0 | 0 | 0 | 0.091743 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
6833573a8789e8696ad0b078fc32733ac35d4da7 | 3,005 | py | Python | tests/test_inlinequeryresultgame.py | ehsanbarkhordar/botcup | 4e45c3df2dceb8afe3833c0e89813fa9493295ed | [
"MIT"
] | 1 | 2019-10-22T03:46:17.000Z | 2019-10-22T03:46:17.000Z | python-telegram-bot/tests/test_inlinequeryresultgame.py | shyguy-ry/paddingCheckBot | d0a60cc2f397b9b8e4d60bdea699a94beaff2ea1 | [
"Apache-2.0"
] | null | null | null | python-telegram-bot/tests/test_inlinequeryresultgame.py | shyguy-ry/paddingCheckBot | d0a60cc2f397b9b8e4d60bdea699a94beaff2ea1 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# A library that provides a Python interface to the Telegram Bot API
# Copyright (C) 2015-2018
# Leandro Toledo de Souza <devs@python-telegram-bot.org>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser Public License for more details.
#
# You should have received a copy of the GNU Lesser Public License
# along with this program. If not, see [http://www.gnu.org/licenses/].
import pytest
from telegram import (InlineKeyboardButton, InlineQueryResultGame,
InlineQueryResultVoice, InlineKeyboardMarkup)
@pytest.fixture(scope='class')
def inline_query_result_game():
return InlineQueryResultGame(TestInlineQueryResultGame.id,
TestInlineQueryResultGame.game_short_name,
reply_markup=TestInlineQueryResultGame.reply_markup)
class TestInlineQueryResultGame(object):
id = 'id'
type = 'game'
game_short_name = 'game short name'
reply_markup = InlineKeyboardMarkup([[InlineKeyboardButton('reply_markup')]])
def test_expected_values(self, inline_query_result_game):
assert inline_query_result_game.type == self.type
assert inline_query_result_game.id == self.id
assert inline_query_result_game.game_short_name == self.game_short_name
assert (inline_query_result_game.reply_markup.to_dict()
== self.reply_markup.to_dict())
def test_to_dict(self, inline_query_result_game):
inline_query_result_game_dict = inline_query_result_game.to_dict()
assert isinstance(inline_query_result_game_dict, dict)
assert inline_query_result_game_dict['type'] == inline_query_result_game.type
assert inline_query_result_game_dict['id'] == inline_query_result_game.id
assert (inline_query_result_game_dict['game_short_name']
== inline_query_result_game.game_short_name)
assert (inline_query_result_game_dict['reply_markup']
== inline_query_result_game.reply_markup.to_dict())
def test_equality(self):
a = InlineQueryResultGame(self.id, self.game_short_name)
b = InlineQueryResultGame(self.id, self.game_short_name)
c = InlineQueryResultGame(self.id, '')
d = InlineQueryResultGame('', self.game_short_name)
e = InlineQueryResultVoice(self.id, '', '')
assert a == b
assert hash(a) == hash(b)
assert a is not b
assert a == c
assert hash(a) == hash(c)
assert a != d
assert hash(a) != hash(d)
assert a != e
assert hash(a) != hash(e)
| 39.539474 | 85 | 0.702163 | 389 | 3,005 | 5.179949 | 0.311054 | 0.098263 | 0.151861 | 0.187593 | 0.373697 | 0.25062 | 0.137965 | 0.066998 | 0 | 0 | 0 | 0.003822 | 0.216306 | 3,005 | 75 | 86 | 40.066667 | 0.851805 | 0.257238 | 0 | 0 | 0 | 0 | 0.032069 | 0 | 0 | 0 | 0 | 0 | 0.418605 | 1 | 0.093023 | false | 0 | 0.046512 | 0.023256 | 0.27907 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
683ea3da0b0b99dd76dd80bf6093b1dfbb0b984c | 8,145 | py | Python | lowendspirit/cloudflareAPI.py | boxcontrol/lowendspirit | d6ca41d14c1a974794c483d3baf885f1f3a40baf | [
"MIT"
] | 3 | 2017-04-25T20:00:35.000Z | 2021-12-03T01:28:38.000Z | lowendspirit/cloudflareAPI.py | boxcontrol/lowendspirit | d6ca41d14c1a974794c483d3baf885f1f3a40baf | [
"MIT"
] | null | null | null | lowendspirit/cloudflareAPI.py | boxcontrol/lowendspirit | d6ca41d14c1a974794c483d3baf885f1f3a40baf | [
"MIT"
] | 2 | 2020-05-14T23:07:47.000Z | 2022-01-08T16:49:05.000Z | import requests
from requests.auth import HTTPBasicAuth
import json
import pprint
class Cloudflare_Enduser_API:
def __init__(self, cf_token, cf_email):
self.cf_token = cf_token
self.cf_email = cf_email
self.headers = {
'Content-Type': 'application/json',
'X-Auth-Key': self.cf_token,
'X-Auth-Email': self.cf_email
}
def cfQuery(self, domain_id='', endpoint='', data={}):
"""
Main GET query function
:param domain_id: ID of domain to query
:param endpoint: user, zone, etc...
:return: result cloudflare response
"""
if not domain_id and not endpoint:
#print('domain id and endpoint not set')
return requests.get(api_endpoint + '/zones' + domain_id + endpoint, headers=self.headers)
elif domain_id and endpoint:
return requests.get(api_endpoint + '/zones/' + domain_id + '/' + endpoint, headers=self.headers)
elif endpoint:
return requests.get(api_endpoint + '/' + endpoint, headers=self.headers)
def cfQuery_patch(self, data, endpoint):
"""
Main PATCH query function
:param domain_id: ID of domain to query
:param endpoint: user, zone, etc...
:param data: data to be patched
:return: result cloudflare response
"""
auth = HTTPBasicAuth(self.cf_email, self.cf_token)
return requests.patch(api_endpoint + endpoint, data=json.dumps(data), auth=auth,
headers=self.headers)
def cfQuery_post(self, data, endpoint):
"""
Main POST query function
:param data: data to be posted
:return: cloudflare response
"""
return requests.post(api_endpoint + endpoint, data=json.dumps(data), headers=self.headers)
def cfQuery_delete(self, id, endpoint):
return requests.delete(api_endpoint + endpoint + id, headers=self.headers)
def cfQuery_put(self, data, endpoint):
"""
Main POST query function
:param data: data to be posted
:return: cloudflare response
"""
return requests.put(api_endpoint + endpoint, data=json.dumps(data), headers=self.headers)
def pp_print_of(self, some_input):
"""
Preaty print the output
:param some_input: anything it can be a function too
:return: function output with pprint
"""
pp = pprint.PrettyPrinter(indent=4)
return pp.pprint(some_input)
def list_all(self):
"""
Get all data associated with cloudflare user
:return: all data for the user account
"""
r = self.cfQuery().json()
pp = pprint.PrettyPrinter(indent=4)
return pp.pprint(r)
def list_domain_ids(self):
"""
lists domain ID/'s
:return: get list of all domain's and id's associated with cloudflare account
"""
r = self.cfQuery().json()
records = []
for domain in r.get('result'):
domain_name = domain.get('name')
domain_id = domain.get('id')
records.append((domain_name, domain_id))
return dict(records)
def get_record(self, id):
"""
get dns records for given domain id
:param id: you need to know the domain id that can be found through list_domain_ids function
:return: return list of all dns records associated with domain
"""
domains = self.list_domain_ids()
endpoint = 'dns_records' # endpoint of the query for CloudFlare API v4
if str(id) in domains.values():
r = self.cfQuery(domain_id=id, endpoint=endpoint)
return r.json().get('result')[0].get('content')
elif str(id) not in domains.values():
return ''.join('There is no domain with id: ' + str(id) +
"\nlist od available domain id's is:\n" +
json.dumps(domains))
def get_user(self):
"""
Get user info
:return: return user info
"""
return self.cfQuery(endpoint='user').json()
def patch_user(self, data):
"""
Update your user profile
:param data: dictionary of data to be changed,
:return: PATCH request to update user profile
"""
return self.cfQuery_patch(endpoint='/user', data=data)
def get_user_billing_profile(self, x):
"""
User Billing Profile
:param x: cloudflare app endpoint (profile, history)
:return: current billing profile
"""
return self.cfQuery(endpoint='user/billing/' + x).json()
def get_app_subscriptions(self, x=None):
"""
List all of your app subscriptions
:param x: optional parameter to show info for app
:return: list
"""
if x:
return self.cfQuery(endpoint='user/billing/subscriptions/apps' + '/' + x).json()
return self.cfQuery(endpoint='user/billing/subscriptions/apps').json()
######## FOR NOW WILL LEAVE OUT REST OF PAYED API CALLES
def get_firewall_rules(self):
"""
List firewall access rules
:param x: optional parameter to show info for app
:return: list
"""
return self.cfQuery(endpoint='/user/firewall/access_rules/rules').json()
def set_access_rule(self, data):
return self.cfQuery_post(data, endpoint='/user/firewall/access_rules/rules').json()
def update_access_rule(self, data):
return self.cfQuery_patch(data, endpoint='/user/firewall/access_rules/rules').json()
def del_access_rule(self, id):
return self.cfQuery_delete(id, endpoint='/user/firewall/access_rules/rules/').json()
################################################################
########## Domain related
def add_new_zone(self, data):
#return self.cfQuery_post(data, endpoint='/zones')
pass
def get_zone_details(self, id):
return self.cfQuery(domain_id=id).json()
################################################################
############## DNS Record
def create_dns_record(self, id, data):
return self.cfQuery_post(data, endpoint='/zones/' + id + '/dns_records').json()
def get_dns_records(self, id):
endpoint = '/dns_records'
return self.cfQuery(domain_id=id, endpoint=endpoint).json()
def get_dns_record_details(self, id, record_id):
endpoint = '/dns_records/' + record_id
return self.cfQuery(domain_id=id, endpoint=endpoint).json()
def update_dns_record(self, data):
endpoint = '/zones/' + data.get('zone_id') + '/dns_records/' + data.get('id')
return self.cfQuery_put(data, endpoint=endpoint).json()
def del_dns_record(self, zone_id, domain_id):
endpoint = '/zones/' + zone_id + '/dns_records/'
return self.cfQuery_delete(id=domain_id, endpoint=endpoint).json()
#################################################################
################## Analytics
def get_zone_analytics(self, zone_id):
endpoint = 'analytics/dashboard'
return self.cfQuery(domain_id=zone_id, endpoint=endpoint).json()
##################################################################
################## Zone Firewall rules
def get_zone_firewall_rules(self, zone_id):
endpoint = 'firewall/access_rules/rules'
return self.cfQuery(domain_id=zone_id, endpoint=endpoint).json()
def create_zone_firewall_rule(self, zone_id, data):
endpoint = '/zones/' + zone_id + '/firewall/access_rules/rules'
return self.cfQuery_post(data=data, endpoint=endpoint).json()
def update_zone_firewall_rule(self, zone_id, data):
endpoint = '/zones/' + zone_id + '/firewall/access_rules/rules'
return self.cfQuery_patch(data=data, endpoint=endpoint)
def del_zone_firewall_rule(self, zone_id, data):
endpoint = '/zones/' + zone_id + '/firewall/access_rules/rules'
#return self.cfQuery_delete(id=data.get(id), endpoint=endpoint)
pass
| 35.881057 | 108 | 0.59558 | 977 | 8,145 | 4.818833 | 0.14739 | 0.056075 | 0.075828 | 0.040782 | 0.490229 | 0.402082 | 0.385089 | 0.339847 | 0.265506 | 0.24554 | 0 | 0.000663 | 0.259177 | 8,145 | 226 | 109 | 36.039823 | 0.779582 | 0.210681 | 0 | 0.122642 | 0 | 0 | 0.112404 | 0.05477 | 0.009434 | 0 | 0 | 0 | 0 | 1 | 0.283019 | false | 0.018868 | 0.037736 | 0.056604 | 0.622642 | 0.056604 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
683fdfc38c6be9c97c19d59c1851c1bf1394efb9 | 1,912 | py | Python | src/images/migrations/0004_auto_20200713_1943.py | thesus/bokstaever | e0a5e2614dd222ccd56a8945aba4fd28de85dd31 | [
"MIT"
] | null | null | null | src/images/migrations/0004_auto_20200713_1943.py | thesus/bokstaever | e0a5e2614dd222ccd56a8945aba4fd28de85dd31 | [
"MIT"
] | 7 | 2019-11-18T16:11:01.000Z | 2019-11-18T16:11:04.000Z | src/images/migrations/0004_auto_20200713_1943.py | thesus/bokstaever | e0a5e2614dd222ccd56a8945aba4fd28de85dd31 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.8 on 2020-07-13 19:43
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
("images", "0003_image_creation_date"),
]
operations = [
migrations.AddField(
model_name="image",
name="feed",
field=models.BooleanField(default=False, verbose_name="In feed"),
),
migrations.AlterField(
model_name="image",
name="creation_date",
field=models.DateTimeField(auto_now_add=True, verbose_name="Creation date"),
),
migrations.AlterField(
model_name="image",
name="files",
field=models.ManyToManyField(to="images.ImageFile", verbose_name="Files"),
),
migrations.AlterField(
model_name="image",
name="thumbnail",
field=models.ForeignKey(
blank=True,
null=True,
on_delete=django.db.models.deletion.CASCADE,
related_name="container",
to="images.ImageFile",
verbose_name="Thumbnail",
),
),
migrations.AlterField(
model_name="image",
name="title",
field=models.CharField(max_length=200, verbose_name="Title"),
),
migrations.AlterField(
model_name="imagefile",
name="height",
field=models.IntegerField(verbose_name="Height"),
),
migrations.AlterField(
model_name="imagefile",
name="image_file",
field=models.FileField(upload_to="", verbose_name="Image file"),
),
migrations.AlterField(
model_name="imagefile",
name="width",
field=models.IntegerField(verbose_name="Width"),
),
]
| 30.83871 | 88 | 0.550732 | 174 | 1,912 | 5.896552 | 0.37931 | 0.070175 | 0.170565 | 0.197856 | 0.391813 | 0.270955 | 0 | 0 | 0 | 0 | 0 | 0.017228 | 0.332113 | 1,912 | 61 | 89 | 31.344262 | 0.786218 | 0.023536 | 0 | 0.436364 | 1 | 0 | 0.128686 | 0.012869 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.036364 | 0 | 0.090909 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
685bdb02c954b53c73259dab606713b94ba02c39 | 330 | py | Python | exec.py | developerHaneum/listBug | d3828813b36a533aef93ac691eeafb08a62a03c0 | [
"MIT"
] | 2 | 2021-07-07T06:38:05.000Z | 2021-07-07T07:07:35.000Z | exec.py | developerHaneum/listBug | d3828813b36a533aef93ac691eeafb08a62a03c0 | [
"MIT"
] | null | null | null | exec.py | developerHaneum/listBug | d3828813b36a533aef93ac691eeafb08a62a03c0 | [
"MIT"
] | 1 | 2021-07-07T06:38:06.000Z | 2021-07-07T06:38:06.000Z | from clint.textui import *
def Write():
i = 0
while True:
i += 1
text = input(colored.cyan("%d: "%i))
if text == "q":
sys.exit(0)
def Print():
print(colored.cyan("-- Bug list --"))
print(colored.cyan("-- ") + colored.red("<q:quit>") + colored.cyan(" --"))
Write()
Print()
| 22 | 78 | 0.490909 | 42 | 330 | 3.857143 | 0.595238 | 0.271605 | 0.197531 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012821 | 0.290909 | 330 | 14 | 79 | 23.571429 | 0.679487 | 0 | 0 | 0 | 0 | 0 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.076923 | 0 | 0.230769 | 0.153846 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6865502dfb12453a7c664da7a679fbf4159aa717 | 477 | py | Python | src/features/test_outlier_correction.py | KennedyMurphy/elomerchant | b6561de4e13a0bcfcda72bb99cec722a58e8f09e | [
"FTL"
] | null | null | null | src/features/test_outlier_correction.py | KennedyMurphy/elomerchant | b6561de4e13a0bcfcda72bb99cec722a58e8f09e | [
"FTL"
] | 12 | 2019-12-26T17:02:54.000Z | 2022-03-21T22:16:55.000Z | src/features/test_outlier_correction.py | KennedyMurphy/elomerchant | b6561de4e13a0bcfcda72bb99cec722a58e8f09e | [
"FTL"
] | null | null | null | import unittest
import pandas as pd
import numpy as np
import src.features.outlier_correction as oc
class TestFlagNormalOutliers(unittest.TestCase):
def setUp(self):
self.series = pd.Series(np.random.normal(0, 0.1, 1000))
self.series.loc[500] = -5
self.series.loc[42] = 5
def test_flag(self):
outliers = oc.flag_normal_outliers(self.series, 5)
self.assertTrue(outliers.loc[500])
self.assertTrue(outliers.loc[42]) | 26.5 | 63 | 0.677149 | 67 | 477 | 4.761194 | 0.477612 | 0.125392 | 0.081505 | 0.15674 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053191 | 0.21174 | 477 | 18 | 64 | 26.5 | 0.795213 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 1 | 0.153846 | false | 0 | 0.307692 | 0 | 0.538462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
68725e7d29c539b971a9d4373987ad3774e42e53 | 1,950 | py | Python | testAppium/conf/getStartActivityConfig.py | moulage/appium-android | 082e4018673fecd260552d758f8a8ba154838b9a | [
"Apache-2.0"
] | null | null | null | testAppium/conf/getStartActivityConfig.py | moulage/appium-android | 082e4018673fecd260552d758f8a8ba154838b9a | [
"Apache-2.0"
] | null | null | null | testAppium/conf/getStartActivityConfig.py | moulage/appium-android | 082e4018673fecd260552d758f8a8ba154838b9a | [
"Apache-2.0"
] | null | null | null | # !/usr/bin/env python
# -*- coding = utf-8 -*-
# @Author:wanghui
# @Time:
# @File:getStartActivityConfig.py
import configparser
import os
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
class GetStartActivityConfig(object):
def __init__(self):
self.config = configparser.ConfigParser()
self.read_config()
def read_config(self):
"""读取配置文件"""
try:
self.config.read(os.path.join(BASE_DIR, ''))
except Exception as e:
print(f'配置文件不正确: ', e)
return None
def get_set_up(self):
"""获取setUp的信息"""
return self.config.items('SETUP')
def get_tear_down(self):
"""获取setUp的信息"""
return self.config.items('TEARDOWN')
def get_sections(self):
""" 获取所有的section """
return self.config.sections()
def get_option(self, section):
"""获取当前section下的所有options"""
return self.config.options(section)
def get_section_items(self, section):
"""获取当前section下的所有键值对"""
return self.config.items(section)
def get_section_password(self, section, option):
"""获取当前option对应的值"""
return self.config.get(section, option)
def check_config(self, *arg):
"""检查配置文件信息是否正确"""
try:
self.read_config()
if len(arg) == 1: # 判断是否有section
return self.config.has_section(arg[0])
elif len(arg) == 3: # 判断section下 option是否正确
if self.config[arg[0]][arg[1]] == arg[2]:
return True
else:
return False
else:
return False
except Exception as e:
return False
def main():
config = GetStartActivityConfig()
print(config.get_set_up())
# print(config.get_section_items('360'))
# print(config.get_section_password('360', 'platformVersion'))
if __name__ == '__main__':
main()
| 25 | 66 | 0.578462 | 208 | 1,950 | 5.235577 | 0.379808 | 0.091827 | 0.102847 | 0.057851 | 0.064279 | 0.064279 | 0 | 0 | 0 | 0 | 0 | 0.009441 | 0.293846 | 1,950 | 77 | 67 | 25.324675 | 0.781409 | 0.177949 | 0 | 0.25 | 0 | 0 | 0.019317 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.227273 | false | 0.022727 | 0.045455 | 0 | 0.568182 | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
687be2e6d6e71a7b227db867acdd0430e68a8454 | 1,977 | py | Python | testing/composite.py | aheadley/pynemap | f2aa373e7c43755ce73c0a60110b609018cd2dcb | [
"MIT"
] | 6 | 2015-10-15T08:28:19.000Z | 2021-11-17T23:02:02.000Z | testing/composite.py | aheadley/pynemap | f2aa373e7c43755ce73c0a60110b609018cd2dcb | [
"MIT"
] | null | null | null | testing/composite.py | aheadley/pynemap | f2aa373e7c43755ce73c0a60110b609018cd2dcb | [
"MIT"
] | null | null | null | #!/usr/bin/python
import numpy
class Color(object):
lower_bound = 0
upper_bound = 255
def __init__(self, r, g, b, a):
self.r = r
self.g = g
self.b = b
self.a = a
def __str__(self):
return '(%s, %s, %s, %s)' % (self.r, self.g, self.b, self.a)
def composite_pixels(src, dest):
new_color = Color(0,0,0,0)
new_color.r = src.a * src.r * dest.a + src.r * (1 - dest.a) + dest.r * dest.a * (1 - src.a)
new_color.g = src.a * src.g * dest.a + src.g * (1 - dest.a) + dest.g * dest.a * (1 - src.a)
new_color.b = src.a * src.b * dest.a + src.b * (1 - dest.a) + dest.b * dest.a * (1 - src.a)
new_color.a = src.a * dest.a + src.a * (1 - dest.a) + dest.a * (1 - src.a)
return new_color
def simple_composite_pixels(src, dest):
return Color(
(src.r * src.a)/255 + ((dest.r * dest.a) * (255 - src.a))/255**2,
(src.g * src.a)/255 + ((dest.g * dest.a) * (255 - src.a))/255**2,
(src.b * src.a)/255 + ((dest.b * dest.a) * (255 - src.a))/255**2,
src.a + dest.a - (src.a * dest.a)/255,
)
def overlay_pixel(src, dest):
a = numpy.array([
(src[0] * src[3]) / 255 + ((dest[0] * dest[3]) * (255 - src[3])) / 255 ** 2,
(src[1] * src[3]) / 255 + ((dest[1] * dest[3]) * (255 - src[3])) / 255 ** 2,
(src[2] * src[3]) / 255 + ((dest[2] * dest[3]) * (255 - src[3])) / 255 ** 2,
src[3] + dest[3] - (src[3] * dest[3]) / 255,
], dtype=numpy.uint8)
print [
(src[0] * src[3]) / 255 + ((dest[0] * dest[3]) * (255 - src[3])) / 255 ** 2,
(src[1] * src[3]) / 255 + ((dest[1] * dest[3]) * (255 - src[3])) / 255 ** 2,
(src[2] * src[3]) / 255 + ((dest[2] * dest[3]) * (255 - src[3])) / 255 ** 2,
src[3] + dest[3] - (src[3] * dest[3]) / 255,
]
print src, dest, a
return a
if __name__ == '__main__':
a = (120,120,120,255)
b = (117,176,73,255)
c = (134,96,67,255)
d = (38,92,255,100)
e = (0,0,0,0)
print overlay_pixel(a,e)
print (a[0] * a[3]) / 255 + ((e[0] * e[3]) * (255 - a[3])) / 255 ** 2 | 35.303571 | 92 | 0.494689 | 371 | 1,977 | 2.557951 | 0.145553 | 0.096944 | 0.088514 | 0.069547 | 0.404636 | 0.387777 | 0.363541 | 0.306639 | 0.246575 | 0.246575 | 0 | 0.144869 | 0.245827 | 1,977 | 56 | 93 | 35.303571 | 0.491616 | 0.008093 | 0 | 0.166667 | 0 | 0 | 0.012239 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.020833 | null | null | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
687e76240c6372225f7e38483f2cc12aea5247cb | 611 | py | Python | autocomplete/survey.py | converj/reasonSurvey | dd40784da4b07cfeb9fd873bab820d627cb026c1 | [
"Apache-2.0"
] | null | null | null | autocomplete/survey.py | converj/reasonSurvey | dd40784da4b07cfeb9fd873bab820d627cb026c1 | [
"Apache-2.0"
] | null | null | null | autocomplete/survey.py | converj/reasonSurvey | dd40784da4b07cfeb9fd873bab820d627cb026c1 | [
"Apache-2.0"
] | null | null | null | # Import external modules.
from google.appengine.ext import ndb
import logging
# Import local modules.
from configAutocomplete import const as conf
from constants import Constants
class Survey(ndb.Model):
surveyId = ndb.StringProperty() # Primary key
title = ndb.StringProperty()
introduction = ndb.StringProperty()
creator = ndb.StringProperty()
allowEdit = ndb.BooleanProperty()
freezeUserInput = ndb.BooleanProperty( default=False )
hideReasons = ndb.BooleanProperty( default=False ) # Experimental option
questionIds = ndb.StringProperty( repeated=True ) # Ordered
| 27.772727 | 77 | 0.747954 | 63 | 611 | 7.253968 | 0.587302 | 0.185996 | 0.109409 | 0.131291 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173486 | 611 | 21 | 78 | 29.095238 | 0.904951 | 0.140753 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.307692 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
688122f978cd09ce576380b1318b3268f2968ae6 | 271 | py | Python | python/cuspatial/cuspatial/utils/traj_utils.py | kkraus14/cuspatial | efe4c6de76c7e4f4888fb27425f3cfb42493a5ac | [
"Apache-2.0"
] | 2 | 2020-01-30T15:10:05.000Z | 2020-07-13T04:16:42.000Z | python/cuspatial/cuspatial/utils/traj_utils.py | kkraus14/cuspatial | efe4c6de76c7e4f4888fb27425f3cfb42493a5ac | [
"Apache-2.0"
] | null | null | null | python/cuspatial/cuspatial/utils/traj_utils.py | kkraus14/cuspatial | efe4c6de76c7e4f4888fb27425f3cfb42493a5ac | [
"Apache-2.0"
] | 1 | 2021-02-22T08:31:00.000Z | 2021-02-22T08:31:00.000Z | def get_ts_struct(ts):
y=ts&0x3f
ts=ts>>6
m=ts&0xf
ts=ts>>4
d=ts&0x1f
ts=ts>>5
hh=ts&0x1f
ts=ts>>5
mm=ts&0x3f
ts=ts>>6
ss=ts&0x3f
ts=ts>>6
wd=ts&0x8
ts=ts>>3
yd=ts&0x1ff
ts=ts>>9
ms=ts&0x3ff
ts=ts>>10
pid=ts&0x3ff
return y,m,d,hh,mm,ss,wd,yd,ms,pid
| 11.291667 | 35 | 0.616236 | 73 | 271 | 2.260274 | 0.369863 | 0.218182 | 0.145455 | 0.181818 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0.128319 | 0.166052 | 271 | 23 | 36 | 11.782609 | 0.60177 | 0 | 0 | 0.238095 | 0 | 0 | 0 | 0 | 0 | 0 | 0.151852 | 0 | 0 | 1 | 0.047619 | false | 0 | 0 | 0 | 0.095238 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
68855b61bab7f85695a5b52312067872e87f33fd | 295 | py | Python | tests/basics/builtin_sorted.py | 84KaliPleXon3/micropython-esp32 | a64dc82742749cf4a4bbe5688dde05122fb38f56 | [
"MIT"
] | 1 | 2020-04-24T06:09:44.000Z | 2020-04-24T06:09:44.000Z | tests/basics/builtin_sorted.py | 84KaliPleXon3/micropython-esp32 | a64dc82742749cf4a4bbe5688dde05122fb38f56 | [
"MIT"
] | null | null | null | tests/basics/builtin_sorted.py | 84KaliPleXon3/micropython-esp32 | a64dc82742749cf4a4bbe5688dde05122fb38f56 | [
"MIT"
] | null | null | null | # test builtin sorted
try:
sorted
set
except:
import sys
print("SKIP")
sys.exit()
print(sorted(set(range(100))))
print(sorted(set(range(100)), key=lambda x: x + 100*(x % 2)))
# need to use keyword argument
try:
sorted([], None)
except TypeError:
print("TypeError")
| 16.388889 | 61 | 0.630508 | 42 | 295 | 4.428571 | 0.571429 | 0.145161 | 0.150538 | 0.204301 | 0.236559 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043103 | 0.213559 | 295 | 17 | 62 | 17.352941 | 0.758621 | 0.162712 | 0 | 0.153846 | 0 | 0 | 0.053279 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.076923 | 0 | 0.076923 | 0.307692 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
6885709e154f6ae3d0952842e393c4c290d87e3b | 643 | py | Python | addons/mendeley/tests/test_serializer.py | gaybro8777/osf.io | 30408511510a40bc393565817b343ef5fd76ab14 | [
"Apache-2.0"
] | 628 | 2015-01-15T04:33:22.000Z | 2022-03-30T06:40:10.000Z | addons/mendeley/tests/test_serializer.py | gaybro8777/osf.io | 30408511510a40bc393565817b343ef5fd76ab14 | [
"Apache-2.0"
] | 4,712 | 2015-01-02T01:41:53.000Z | 2022-03-30T14:18:40.000Z | addons/mendeley/tests/test_serializer.py | Johnetordoff/osf.io | de10bf249c46cede04c78f7e6f7e352c69e6e6b5 | [
"Apache-2.0"
] | 371 | 2015-01-12T16:14:08.000Z | 2022-03-31T18:58:29.000Z | # -*- coding: utf-8 -*-
"""Serializer tests for the Mendeley addon."""
import pytest
from addons.base.tests.serializers import CitationAddonSerializerTestSuiteMixin
from addons.base.tests.utils import MockFolder
from addons.mendeley.tests.factories import MendeleyAccountFactory
from addons.mendeley.serializer import MendeleySerializer
from tests.base import OsfTestCase
pytestmark = pytest.mark.django_db
class TestMendeleySerializer(CitationAddonSerializerTestSuiteMixin, OsfTestCase):
addon_short_name = 'mendeley'
Serializer = MendeleySerializer
ExternalAccountFactory = MendeleyAccountFactory
folder = MockFolder()
| 30.619048 | 81 | 0.819596 | 62 | 643 | 8.451613 | 0.516129 | 0.076336 | 0.053435 | 0.072519 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001754 | 0.11353 | 643 | 20 | 82 | 32.15 | 0.917544 | 0.097978 | 0 | 0 | 0 | 0 | 0.013937 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.916667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 2 |
688600d6cad34394de4e5a48da1144fe75003447 | 465 | py | Python | src/project/_tests/base.py | pviojo/boilerplate-flask-api | 4e3832cc1a6979019311e01f60227ace0f2c3259 | [
"MIT"
] | null | null | null | src/project/_tests/base.py | pviojo/boilerplate-flask-api | 4e3832cc1a6979019311e01f60227ace0f2c3259 | [
"MIT"
] | null | null | null | src/project/_tests/base.py | pviojo/boilerplate-flask-api | 4e3832cc1a6979019311e01f60227ace0f2c3259 | [
"MIT"
] | null | null | null | from app import run_migration
from flask import current_app as app
from flask_testing import TestCase
from project import db
class BaseTestCase(TestCase):
def create_app(self):
app.config.from_object('project.configs.TestingConfig')
return app
def setUp(self):
run_migration()
def tearDown(self):
db.session.remove()
db.drop_all()
def assert201(self, response):
self.assert_status(response, 201)
| 22.142857 | 63 | 0.692473 | 60 | 465 | 5.233333 | 0.55 | 0.076433 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016713 | 0.227957 | 465 | 20 | 64 | 23.25 | 0.857939 | 0 | 0 | 0 | 0 | 0 | 0.062366 | 0.062366 | 0 | 0 | 0 | 0 | 0.133333 | 1 | 0.266667 | false | 0 | 0.266667 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
68907c9f56a7dff7255659e5fac49a90b9c790a1 | 1,444 | py | Python | chemreg/auth/tests/test_views.py | Chemical-Curation/chemcurator | bcd7fab84e407f06502e6873c38820724d4e54e7 | [
"MIT"
] | 1 | 2020-10-05T18:02:24.000Z | 2020-10-05T18:02:24.000Z | chemreg/auth/tests/test_views.py | Chemical-Curation/chemcurator_django | bcd7fab84e407f06502e6873c38820724d4e54e7 | [
"MIT"
] | 207 | 2020-01-30T19:17:44.000Z | 2021-02-24T19:45:29.000Z | chemreg/auth/tests/test_views.py | Chemical-Curation/chemcurator_django | bcd7fab84e407f06502e6873c38820724d4e54e7 | [
"MIT"
] | null | null | null | from base64 import b64encode
import pytest
@pytest.mark.django_db
def test_login_view(user, client, settings):
"""Test that the login view can login and logout."""
login_url = f"/{settings.LOGIN_URL.strip('/')}/"
# Django doesn't store the raw password, so we need to set one we know.
password = "A test password"
user.set_password(password)
user.save()
# Test login with valid credentials
auth_str = b64encode(f"{user.username}:{password}".encode()).decode()
client.credentials(HTTP_AUTHORIZATION=f"Basic {auth_str}")
response = client.post(login_url)
assert response.status_code == 200
assert response.data["username"] == user.username
assert response.data["email"] == user.email
# Get user using just session ID
client.credentials()
response = client.get(login_url)
assert response.status_code == 200
assert response.data["username"] == user.username
assert response.data["email"] == user.email
# Logout using just session ID
response = client.delete(login_url)
assert response.status_code == 200
assert not response.data["username"]
assert not response.data["email"]
# Test with invalid credentials
response = client.post(login_url)
assert response.status_code == 403
response = client.get(login_url)
assert response.status_code == 403
response = client.delete(login_url)
assert response.status_code == 403
| 32.088889 | 75 | 0.702216 | 191 | 1,444 | 5.198953 | 0.340314 | 0.140987 | 0.084592 | 0.132931 | 0.469285 | 0.469285 | 0.469285 | 0.466264 | 0.4572 | 0.21148 | 0 | 0.020478 | 0.188366 | 1,444 | 44 | 76 | 32.818182 | 0.826792 | 0.166898 | 0 | 0.551724 | 0 | 0 | 0.108131 | 0.049455 | 0 | 0 | 0 | 0 | 0.413793 | 1 | 0.034483 | false | 0.103448 | 0.068966 | 0 | 0.103448 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
68aaa854df265e745f3f5094661f5862c8bd4125 | 846 | py | Python | tests/test_android_here.py | b3b/pythonhere | edd45b4f5087d63e1bf265ec6a7c6ade23580de3 | [
"MIT"
] | 2 | 2021-01-06T19:38:25.000Z | 2022-01-25T10:00:20.000Z | tests/test_android_here.py | b3b/pythonhere | edd45b4f5087d63e1bf265ec6a7c6ade23580de3 | [
"MIT"
] | 1 | 2021-01-04T10:44:12.000Z | 2021-01-04T10:44:12.000Z | tests/test_android_here.py | b3b/pythonhere | edd45b4f5087d63e1bf265ec6a7c6ade23580de3 | [
"MIT"
] | null | null | null | import pytest
@pytest.mark.parametrize(
"script", (None, "test.py"),
)
def test_restart_app(mocked_android_modules, app_instance, test_py_script, script):
from android_here import restart_app
restart_app(script)
def test_script_path_resolved(mocked_android_modules, app_instance, test_py_script):
from android_here import resolve_script_path
path = resolve_script_path("test.py")
assert path.startswith("/") and path.endswith("test.py")
def test_absolute_script_path_resolved(mocked_android_modules, app_instance, test_py_script):
from android_here import resolve_script_path
assert resolve_script_path(test_py_script) == test_py_script
def test_pin_shortcut(mocker, mocked_android_modules, app_instance, test_py_script):
from android_here import pin_shortcut
pin_shortcut("test.py", "test label")
| 32.538462 | 93 | 0.795508 | 121 | 846 | 5.140496 | 0.239669 | 0.096463 | 0.115756 | 0.14791 | 0.607717 | 0.490354 | 0.490354 | 0.490354 | 0.421222 | 0.421222 | 0 | 0 | 0.122931 | 846 | 25 | 94 | 33.84 | 0.838275 | 0 | 0 | 0.117647 | 0 | 0 | 0.053191 | 0 | 0 | 0 | 0 | 0 | 0.117647 | 1 | 0.235294 | false | 0 | 0.294118 | 0 | 0.529412 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
d799c19014a1b79f5fe8a1069ce05224e3482da3 | 1,591 | py | Python | workflows/pipe-common/pipeline/autoscaling/cloudprovider.py | NShaforostov/cloud-pipeline | 8d25b2b5f4838be569d9c25a307b77df5b0e73fc | [
"Apache-2.0"
] | null | null | null | workflows/pipe-common/pipeline/autoscaling/cloudprovider.py | NShaforostov/cloud-pipeline | 8d25b2b5f4838be569d9c25a307b77df5b0e73fc | [
"Apache-2.0"
] | 378 | 2021-03-25T20:09:54.000Z | 2021-10-01T01:02:39.000Z | workflows/pipe-common/pipeline/autoscaling/cloudprovider.py | NShaforostov/cloud-pipeline | 8d25b2b5f4838be569d9c25a307b77df5b0e73fc | [
"Apache-2.0"
] | 2 | 2019-08-09T18:04:54.000Z | 2019-08-11T19:03:06.000Z | # Copyright 2017-2019 EPAM Systems, Inc. (https://www.epam.com/)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
LIMIT_EXCEEDED_ERROR_MASSAGE = 'Instance limit exceeded. A new one will be launched as soon as free space will be available.'
LIMIT_EXCEEDED_EXIT_CODE = 6
class AbstractInstanceProvider(object):
def run_instance(self, is_spot, bid_price, ins_type, ins_hdd, ins_img, ins_key, run_id, kms_encyr_key_id,
num_rep, time_rep, kube_ip, kubeadm_token):
pass
def find_and_tag_instance(self, old_id, new_id):
pass
def verify_run_id(self, run_id):
pass
def check_instance(self, ins_id, run_id, num_rep, time_rep):
pass
def get_instance_names(self, ins_id):
pass
def find_instance(self, run_id):
pass
def terminate_instance(self, ins_id):
pass
def terminate_instance_by_ip(self, node_internal_ip, node_name):
pass
def find_nodes_with_run_id(self, run_id):
instance = self.find_instance(run_id)
return [instance] if instance is not None else []
| 32.469388 | 125 | 0.715273 | 245 | 1,591 | 4.42449 | 0.510204 | 0.0369 | 0.041513 | 0.02952 | 0.135609 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010359 | 0.211188 | 1,591 | 48 | 126 | 33.145833 | 0.853386 | 0.366436 | 0 | 0.347826 | 0 | 0 | 0.092555 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.391304 | false | 0.347826 | 0 | 0 | 0.478261 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
d79e215cb8f499e47e5107fabf650f63a2a2ff52 | 305 | py | Python | text-classify/test.py | ubear/MachineLearn | c24947f7078269f51bf7ee0d2167ca6b71152d1e | [
"MIT"
] | null | null | null | text-classify/test.py | ubear/MachineLearn | c24947f7078269f51bf7ee0d2167ca6b71152d1e | [
"MIT"
] | null | null | null | text-classify/test.py | ubear/MachineLearn | c24947f7078269f51bf7ee0d2167ca6b71152d1e | [
"MIT"
] | null | null | null | #coding:utf-8
import re
import math
from docclass import Classifier
def test_infc_func():
c = Classifier(getfeatures=None)
c.infc("python", "good")
c.infc("python", "good")
c.infc("the", "bad")
c.infc("the", "good")
print c.fc
if __name__ == "__main__":
test_infc_func()
| 15.25 | 36 | 0.629508 | 44 | 305 | 4.090909 | 0.568182 | 0.111111 | 0.133333 | 0.166667 | 0.194444 | 0.194444 | 0 | 0 | 0 | 0 | 0 | 0.004132 | 0.206557 | 305 | 19 | 37 | 16.052632 | 0.739669 | 0.039344 | 0 | 0.166667 | 0 | 0 | 0.140411 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.25 | null | null | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d79fcf121072d7dc68656d391c409e397c811e06 | 333 | py | Python | src/chapter2/exercise7.py | group6BCS1/BCS-2021 | 272b1117922163cde03901cfdd82f8e0cfab9a67 | [
"MIT"
] | null | null | null | src/chapter2/exercise7.py | group6BCS1/BCS-2021 | 272b1117922163cde03901cfdd82f8e0cfab9a67 | [
"MIT"
] | null | null | null | src/chapter2/exercise7.py | group6BCS1/BCS-2021 | 272b1117922163cde03901cfdd82f8e0cfab9a67 | [
"MIT"
] | null | null | null | c = float(input("Enter Amount Between 0-99 :"))
print(c // 20, "Twenties")
c = c % 20
print(c // 10, "Tens")
c = c % 10
print(c // 5, "Fives")
c = c % 5
print(c // 1, "Ones")
c = c % 1
print(c // 0.25, "Quarters")
c = c % 0.25
print(c // 0.1, "Dimes")
c = c % 0.1
print(c // 0.05, "Nickles")
c = c % 0.05
print(c // 0.01, "Pennies")
| 19.588235 | 47 | 0.51952 | 68 | 333 | 2.544118 | 0.352941 | 0.277457 | 0.16185 | 0.092486 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.131274 | 0.222222 | 333 | 16 | 48 | 20.8125 | 0.53668 | 0 | 0 | 0 | 0 | 0 | 0.225225 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
d7bb7502a2e24be8eaf3bc4172023cbaaaa79d16 | 1,716 | py | Python | PythonExercicios/ex045.py | Caio-Moretti/115.Exercicios-Python | 7e66fb1f44ea3eb4ade63f37d843242ac42ade84 | [
"MIT"
] | null | null | null | PythonExercicios/ex045.py | Caio-Moretti/115.Exercicios-Python | 7e66fb1f44ea3eb4ade63f37d843242ac42ade84 | [
"MIT"
] | null | null | null | PythonExercicios/ex045.py | Caio-Moretti/115.Exercicios-Python | 7e66fb1f44ea3eb4ade63f37d843242ac42ade84 | [
"MIT"
] | null | null | null | from random import choice
from time import sleep
jokenpo = ['Pedra', 'Papel', 'Tesoura']
jokenposter_stainger = choice(jokenpo)
jogador = int(input('Qual a sua jogada?'
'\n1. Pedra'
'\n2. Papel'
'\n3. Tesoura'
'\nEscolha: '))
print('\nJO...')
sleep(1)
print('KEN...')
sleep(1)
print('PO!!!'
'\n ')
if jogador == 1:
print('Você: Pedra')
elif jogador == 2:
print('Você: Papel')
elif jogador == 3:
print('Você: Tesoura')
else:
print('Escolha uma opção válida.')
print('Jokenposter Stainger: {}'.format(jokenposter_stainger))
sleep(2)
print('--' * 20)
if jokenposter_stainger == 'Pedra' and jogador == 1:
print('Empate!')
w = 0
elif jokenposter_stainger == 'Pedra' and jogador == 2:
print('Você ganhou!')
w = 2
elif jokenposter_stainger == 'Pedra' and jogador == 3:
print('Você perdeu!')
w = 1
elif jokenposter_stainger == 'Papel' and jogador == 1:
print('Você perdeu!')
w = 1
elif jokenposter_stainger == 'Papel' and jogador == 2:
print('Empate!')
w = 0
elif jokenposter_stainger == 'Papel' and jogador == 3:
print('Você ganhou!')
w = 2
elif jokenposter_stainger == 'Tesoura' and jogador == 1:
print('Você ganhou!')
w = 2
elif jokenposter_stainger == 'Tesoura' and jogador == 2:
print('Você perdeu!')
w = 1
elif jokenposter_stainger == 'Tesoura' and jogador == 3:
print('Empate!')
w = 0
if w == 0:
print('Jokenposter Stainger: Vamo de novo! Ta com medinho?')
elif w == 1:
print('Jokenposter Stainger: OTÁRIO ')
elif w == 2:
print('Jokenposter Stainger: TAAAVA DEMORAANDO! Revanche!')
else:
print(' ')
print('--' * 20)
| 23.189189 | 64 | 0.597902 | 212 | 1,716 | 4.787736 | 0.268868 | 0.280788 | 0.181281 | 0.050246 | 0.470936 | 0.431527 | 0.370443 | 0.299507 | 0.22069 | 0.22069 | 0 | 0.026174 | 0.243007 | 1,716 | 73 | 65 | 23.506849 | 0.755196 | 0 | 0 | 0.387097 | 0 | 0 | 0.269231 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.032258 | 0 | 0.032258 | 0.370968 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d7c2573fe1dc3783d90bd1abbefb46141b4afea9 | 15,240 | py | Python | data/test/test_queue.py | giuseppe/quay | a1b7e4b51974edfe86f66788621011eef2667e6a | [
"Apache-2.0"
] | 2,027 | 2019-11-12T18:05:48.000Z | 2022-03-31T22:25:04.000Z | data/test/test_queue.py | giuseppe/quay | a1b7e4b51974edfe86f66788621011eef2667e6a | [
"Apache-2.0"
] | 496 | 2019-11-12T18:13:37.000Z | 2022-03-31T10:43:45.000Z | data/test/test_queue.py | giuseppe/quay | a1b7e4b51974edfe86f66788621011eef2667e6a | [
"Apache-2.0"
] | 249 | 2019-11-12T18:02:27.000Z | 2022-03-22T12:19:19.000Z | import json
import time
import pytest
from contextlib import contextmanager
from datetime import datetime, timedelta
from functools import wraps
from data.database import QueueItem
from data.queue import (
WorkQueue,
MINIMUM_EXTENSION,
queue_items_locked,
queue_items_available,
queue_items_available_unlocked,
)
from test.fixtures import *
QUEUE_NAME = "testqueuename"
class AutoUpdatingQueue(object):
def __init__(self, queue_to_wrap):
self._queue = queue_to_wrap
def _wrapper(self, func):
@wraps(func)
def wrapper(*args, **kwargs):
to_return = func(*args, **kwargs)
self._queue.update_metrics()
return to_return
return wrapper
def __getattr__(self, attr_name):
method_or_attr = getattr(self._queue, attr_name)
if callable(method_or_attr):
return self._wrapper(method_or_attr)
else:
return method_or_attr
TEST_MESSAGE_1 = json.dumps({"data": 1})
TEST_MESSAGE_2 = json.dumps({"data": 2})
TEST_MESSAGES = [json.dumps({"data": str(i)}) for i in range(1, 101)]
@contextmanager
def fake_transaction(arg):
yield
@pytest.fixture()
def transaction_factory():
return fake_transaction
def gauge_value(g):
return g.collect()[0].samples[0].value
@pytest.fixture()
def queue(transaction_factory, initialized_db):
return AutoUpdatingQueue(WorkQueue(QUEUE_NAME, transaction_factory))
def test_get_single_item(queue, transaction_factory):
# Add a single item to the queue.
queue.put(["abc", "def"], TEST_MESSAGE_1, available_after=-1)
# Have two "instances" retrieve an item to claim. Since there is only one, both calls should
# return the same item.
now = datetime.utcnow()
first_item = queue._select_available_item(False, now)
second_item = queue._select_available_item(False, now)
assert first_item.id == second_item.id
assert first_item.state_id == second_item.state_id
# Have both "instances" now try to claim the item. Only one should succeed.
first_claimed = queue._attempt_to_claim_item(first_item, now, 300)
second_claimed = queue._attempt_to_claim_item(first_item, now, 300)
assert first_claimed
assert not second_claimed
# Ensure the item is no longer available.
assert queue.get() is None
# Ensure the item's state ID has changed.
assert first_item.state_id != QueueItem.get().state_id
def test_extend_processing(queue, transaction_factory):
# Add and retrieve a queue item.
queue.put(["abc", "def"], TEST_MESSAGE_1, available_after=-1)
queue_item = queue.get(processing_time=10)
assert queue_item is not None
existing_db_item = QueueItem.get(id=queue_item.id)
# Call extend processing with a timedelta less than the minimum and ensure its
# processing_expires and state_id do not change.
changed = queue.extend_processing(queue_item, 10 + MINIMUM_EXTENSION.total_seconds() - 1)
assert not changed
updated_db_item = QueueItem.get(id=queue_item.id)
assert existing_db_item.processing_expires == updated_db_item.processing_expires
assert existing_db_item.state_id == updated_db_item.state_id
# Call extend processing with a timedelta greater than the minimum and ensure its
# processing_expires and state_id are changed.
changed = queue.extend_processing(queue_item, 10 + MINIMUM_EXTENSION.total_seconds() + 1)
assert changed
updated_db_item = QueueItem.get(id=queue_item.id)
assert existing_db_item.processing_expires != updated_db_item.processing_expires
assert existing_db_item.state_id != updated_db_item.state_id
# Call extend processing with a timedelta less than the minimum but also with new data and
# ensure its processing_expires and state_id are changed.
changed = queue.extend_processing(
queue_item, 10 + MINIMUM_EXTENSION.total_seconds() - 1, updated_data="newbody"
)
assert changed
updated_db_item = QueueItem.get(id=queue_item.id)
assert existing_db_item.processing_expires != updated_db_item.processing_expires
assert existing_db_item.state_id != updated_db_item.state_id
assert updated_db_item.body == "newbody"
def test_same_canonical_names(queue, transaction_factory):
queue_items_locked.labels(queue._queue_name).set(0)
queue_items_available.labels(queue._queue_name).set(0)
queue_items_available_unlocked.labels(queue._queue_name).set(0)
id_1 = int(queue.put(["abc", "def"], TEST_MESSAGE_1, available_after=-1))
id_2 = int(queue.put(["abc", "def"], TEST_MESSAGE_2, available_after=-1))
assert id_1 + 1 == id_2
assert not queue._currently_processing
assert gauge_value(queue_items_locked) == 0
assert gauge_value(queue_items_locked) + gauge_value(queue_items_available_unlocked) == 1
one = queue.get(ordering_required=True)
assert one is not None
assert one.body == TEST_MESSAGE_1
assert queue._currently_processing
assert gauge_value(queue_items_locked) == 1
assert gauge_value(queue_items_locked) + gauge_value(queue_items_available_unlocked) == 1
two_fail = queue.get(ordering_required=True)
assert two_fail is None
assert gauge_value(queue_items_locked) == 1
assert gauge_value(queue_items_locked) + gauge_value(queue_items_available_unlocked) == 1
queue.complete(one)
assert not queue._currently_processing
assert gauge_value(queue_items_locked) == 0
assert gauge_value(queue_items_locked) + gauge_value(queue_items_available_unlocked) == 1
two = queue.get(ordering_required=True)
assert two is not None
assert queue._currently_processing
assert two.body == TEST_MESSAGE_2
assert gauge_value(queue_items_locked) == 1
assert gauge_value(queue_items_locked) + gauge_value(queue_items_available_unlocked) == 1
def test_different_canonical_names(queue, transaction_factory):
queue_items_locked.labels(queue._queue_name).set(0)
queue_items_available.labels(queue._queue_name).set(0)
queue_items_available_unlocked.labels(queue._queue_name).set(0)
queue.put(["abc", "def"], TEST_MESSAGE_1, available_after=-1)
queue.put(["abc", "ghi"], TEST_MESSAGE_2, available_after=-1)
assert gauge_value(queue_items_locked) == 0
assert gauge_value(queue_items_locked) + gauge_value(queue_items_available_unlocked) == 2
one = queue.get(ordering_required=True)
assert one is not None
assert one.body == TEST_MESSAGE_1
assert gauge_value(queue_items_locked) == 1
assert gauge_value(queue_items_locked) + gauge_value(queue_items_available_unlocked) == 2
two = queue.get(ordering_required=True)
assert two is not None
assert two.body == TEST_MESSAGE_2
assert gauge_value(queue_items_locked) == 2
assert gauge_value(queue_items_locked) + gauge_value(queue_items_available_unlocked) == 2
def test_canonical_name(queue, transaction_factory):
queue.put(["abc", "def"], TEST_MESSAGE_1, available_after=-1)
queue.put(["abc", "def", "ghi"], TEST_MESSAGE_1, available_after=-1)
one = queue.get(ordering_required=True)
assert QUEUE_NAME + "/abc/def/" != one
two = queue.get(ordering_required=True)
assert QUEUE_NAME + "/abc/def/ghi/" != two
def test_expiration(queue, transaction_factory):
queue_items_locked.labels(queue._queue_name).set(0)
queue_items_available.labels(queue._queue_name).set(0)
queue_items_available_unlocked.labels(queue._queue_name).set(0)
queue.put(["abc", "def"], TEST_MESSAGE_1, available_after=-1)
assert gauge_value(queue_items_locked) == 0
assert gauge_value(queue_items_locked) + gauge_value(queue_items_available_unlocked) == 1
one = queue.get(processing_time=0.5, ordering_required=True)
assert one is not None
assert gauge_value(queue_items_locked) == 1
assert gauge_value(queue_items_locked) + gauge_value(queue_items_available_unlocked) == 1
one_fail = queue.get(ordering_required=True)
assert one_fail is None
time.sleep(1)
queue.update_metrics()
assert gauge_value(queue_items_locked) == 0
assert gauge_value(queue_items_locked) + gauge_value(queue_items_available_unlocked) == 1
one_again = queue.get(ordering_required=True)
assert one_again is not None
assert gauge_value(queue_items_locked) == 1
assert gauge_value(queue_items_locked) + gauge_value(queue_items_available_unlocked) == 1
def test_alive(queue, transaction_factory):
# No queue item = not alive.
assert not queue.alive(["abc", "def"])
# Add a queue item.
queue.put(["abc", "def"], TEST_MESSAGE_1, available_after=-1)
assert queue.alive(["abc", "def"])
# Retrieve the queue item.
queue_item = queue.get()
assert queue_item is not None
assert queue.alive(["abc", "def"])
# Make sure it is running by trying to retrieve it again.
assert queue.get() is None
# Delete the queue item.
queue.complete(queue_item)
assert not queue.alive(["abc", "def"])
def test_specialized_queue(queue, transaction_factory):
queue.put(["abc", "def"], TEST_MESSAGE_1, available_after=-1)
queue.put(["def", "def"], TEST_MESSAGE_2, available_after=-1)
my_queue = AutoUpdatingQueue(WorkQueue(QUEUE_NAME, transaction_factory, ["def"]))
two = my_queue.get(ordering_required=True)
assert two is not None
assert two.body == TEST_MESSAGE_2
one_fail = my_queue.get(ordering_required=True)
assert one_fail is None
one = queue.get(ordering_required=True)
assert one is not None
assert one.body == TEST_MESSAGE_1
def test_random_queue_no_duplicates(queue, transaction_factory):
for msg in TEST_MESSAGES:
queue.put(["abc", "def"], msg, available_after=-1)
seen = set()
for _ in range(1, 101):
item = queue.get()
json_body = json.loads(item.body)
msg = str(json_body["data"])
assert msg not in seen
seen.add(msg)
for body in TEST_MESSAGES:
json_body = json.loads(body)
msg = str(json_body["data"])
assert msg in seen
def test_bulk_insert(queue, transaction_factory):
queue_items_locked.labels(queue._queue_name).set(0)
queue_items_available.labels(queue._queue_name).set(0)
queue_items_available_unlocked.labels(queue._queue_name).set(0)
with queue.batch_insert() as queue_put:
queue_put(["abc", "def"], TEST_MESSAGE_1, available_after=-1)
queue_put(["abc", "def"], TEST_MESSAGE_2, available_after=-1)
queue.update_metrics()
assert not queue._currently_processing
assert gauge_value(queue_items_locked) == 0
assert gauge_value(queue_items_locked) + gauge_value(queue_items_available_unlocked) == 1
with queue.batch_insert() as queue_put:
queue_put(["abd", "def"], TEST_MESSAGE_1, available_after=-1)
queue_put(["abd", "ghi"], TEST_MESSAGE_2, available_after=-1)
queue.update_metrics()
assert not queue._currently_processing
assert gauge_value(queue_items_locked) == 0
assert gauge_value(queue_items_locked) + gauge_value(queue_items_available_unlocked) == 3
def test_num_available_between(queue, transaction_factory):
now = datetime.utcnow()
queue.put(["abc", "def"], TEST_MESSAGE_1, available_after=-10)
queue.put(["abc", "ghi"], TEST_MESSAGE_2, available_after=-5)
# Partial results
count = queue.num_available_jobs_between(now - timedelta(seconds=8), now, ["abc"])
assert count == 1
# All results
count = queue.num_available_jobs_between(now - timedelta(seconds=20), now, ["/abc"])
assert count == 2
# No results
count = queue.num_available_jobs_between(now, now, "abc")
assert count == 0
def test_incomplete(queue, transaction_factory):
# Add an item.
queue.put(["somenamespace", "abc", "def"], TEST_MESSAGE_1, available_after=-10)
now = datetime.utcnow()
count = queue.num_available_jobs_between(now - timedelta(seconds=60), now, ["/somenamespace"])
assert count == 1
# Retrieve it.
item = queue.get()
assert item is not None
assert queue._currently_processing
# Mark it as incomplete.
queue.incomplete(item, retry_after=-1)
assert not queue._currently_processing
# Retrieve again to ensure it is once again available.
same_item = queue.get()
assert same_item is not None
assert queue._currently_processing
assert item.id == same_item.id
def test_complete(queue, transaction_factory):
# Add an item.
queue.put(["somenamespace", "abc", "def"], TEST_MESSAGE_1, available_after=-10)
now = datetime.utcnow()
count = queue.num_available_jobs_between(now - timedelta(seconds=60), now, ["/somenamespace"])
assert count == 1
# Retrieve it.
item = queue.get()
assert item is not None
assert queue._currently_processing
# Mark it as complete.
queue.complete(item)
assert not queue._currently_processing
def test_cancel(queue, transaction_factory):
# Add an item.
queue.put(["somenamespace", "abc", "def"], TEST_MESSAGE_1, available_after=-10)
queue.put(["somenamespace", "abc", "def"], TEST_MESSAGE_2, available_after=-5)
now = datetime.utcnow()
count = queue.num_available_jobs_between(now - timedelta(seconds=60), now, ["/somenamespace"])
assert count == 2
# Retrieve it.
item = queue.get()
assert item is not None
# Make sure we can cancel it.
assert queue.cancel(item.id)
now = datetime.utcnow()
count = queue.num_available_jobs_between(now - timedelta(seconds=60), now, ["/somenamespace"])
assert count == 1
# Make sure it is gone.
assert not queue.cancel(item.id)
def test_deleted_namespaced_items(queue, transaction_factory):
queue = AutoUpdatingQueue(WorkQueue(QUEUE_NAME, transaction_factory, has_namespace=True))
queue.put(["somenamespace", "abc", "def"], TEST_MESSAGE_1, available_after=-10)
queue.put(["somenamespace", "abc", "ghi"], TEST_MESSAGE_2, available_after=-5)
queue.put(["anothernamespace", "abc", "def"], TEST_MESSAGE_1, available_after=-10)
# Ensure we have 2 items under `somenamespace` and 1 item under `anothernamespace`.
now = datetime.utcnow()
count = queue.num_available_jobs_between(now - timedelta(seconds=60), now, ["/somenamespace"])
assert count == 2
count = queue.num_available_jobs_between(
now - timedelta(seconds=60), now, ["/anothernamespace"]
)
assert count == 1
# Delete all `somenamespace` items.
queue.delete_namespaced_items("somenamespace")
# Check the updated counts.
count = queue.num_available_jobs_between(now - timedelta(seconds=60), now, ["/somenamespace"])
assert count == 0
count = queue.num_available_jobs_between(
now - timedelta(seconds=60), now, ["/anothernamespace"]
)
assert count == 1
# Delete all `anothernamespace` items.
queue.delete_namespaced_items("anothernamespace")
# Check the updated counts.
count = queue.num_available_jobs_between(now - timedelta(seconds=60), now, ["/somenamespace"])
assert count == 0
count = queue.num_available_jobs_between(
now - timedelta(seconds=60), now, ["/anothernamespace"]
)
assert count == 0
| 34.247191 | 98 | 0.720997 | 2,101 | 15,240 | 4.940505 | 0.098049 | 0.054913 | 0.060694 | 0.080925 | 0.735934 | 0.711079 | 0.697977 | 0.658382 | 0.631792 | 0.611175 | 0 | 0.014407 | 0.175656 | 15,240 | 444 | 99 | 34.324324 | 0.811828 | 0.087992 | 0 | 0.519298 | 0 | 0 | 0.038742 | 0 | 0 | 0 | 0 | 0 | 0.364912 | 1 | 0.080702 | false | 0 | 0.031579 | 0.010526 | 0.140351 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
d7c7d36b08b7910b33e0fece9387522df88e2cd2 | 3,105 | py | Python | commands/FBTextInputCommands.py | zddd/chisel | 7782bdde3062e15ccbdc5f617aa3a8f096b6751b | [
"MIT"
] | 1 | 2020-03-04T20:24:33.000Z | 2020-03-04T20:24:33.000Z | commands/FBTextInputCommands.py | zddd/chisel | 7782bdde3062e15ccbdc5f617aa3a8f096b6751b | [
"MIT"
] | null | null | null | commands/FBTextInputCommands.py | zddd/chisel | 7782bdde3062e15ccbdc5f617aa3a8f096b6751b | [
"MIT"
] | null | null | null | #!/usr/bin/python
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import lldb
import fblldbbase as fb
import fblldbviewhelpers as viewHelpers
ACCESSIBILITY_ID = 0
REPLACEMENT_TEXT = 1
INPUT_TEXT = 0
def lldbcommands():
return [
FBInputTexByAccessibilityIdCommand(),
FBInputTexToFirstResponderCommand(),
]
class FBInputTexByAccessibilityIdCommand(fb.FBCommand):
def name(self):
return 'settext'
def description(self):
return 'Set text on text on a view by accessibility id.'
def args(self):
return [
fb.FBCommandArgument(arg='accessibilityId', type='string', help='The accessibility ID of the input view.'),
fb.FBCommandArgument(arg='replacementText', type='string', help='The text to set.')
]
def run(self, arguments, options):
self.findView(rootView(), arguments[ACCESSIBILITY_ID], arguments[REPLACEMENT_TEXT])
def findView(self, view, searchIdentifier, replacementText):
views = subviewsOfView(view)
for index in range(0, viewsCount(views)):
subview = subviewAtIndex(views, index)
self.findView(subview, searchIdentifier, replacementText)
else:
identifier = accessibilityIdentifier(view)
if isEqualToString(identifier, searchIdentifier):
setTextInView(view, replacementText)
class FBInputTexToFirstResponderCommand(fb.FBCommand):
def name(self):
return 'setinput'
def description(self):
return 'Input text into text field or text view that is first responder.'
def args(self):
return [
fb.FBCommandArgument(arg='inputText', type='string', help='The text to input.')
]
def run(self, arguments, options):
self.findFirstResponder(rootView(), arguments[INPUT_TEXT])
def findFirstResponder(self, view, replacementText):
views = subviewsOfView(view)
if isFirstResponder(view):
setTextInView(view, replacementText)
else:
for index in range(0, viewsCount(views)):
subview = subviewAtIndex(views, index)
self.findFirstResponder(subview, replacementText)
# Some helpers
def rootView():
return fb.evaluateObjectExpression('[[UIApplication sharedApplication] keyWindow]')
def subviewsOfView(view):
return fb.evaluateObjectExpression('[%s subviews]' % view)
def subviewAtIndex(views, index):
return fb.evaluateObjectExpression('[%s objectAtIndex:%i]' % (views, index))
def viewsCount(views):
return int(fb.evaluateExpression('(int)[%s count]' % views))
def accessibilityIdentifier(view):
return fb.evaluateObjectExpression('[%s accessibilityIdentifier]' % view)
def isEqualToString(identifier, needle):
return fb.evaluateBooleanExpression('[%s isEqualToString:@"%s"]' % (identifier, needle))
def setTextInView(view, text):
fb.evaluateObjectExpression('[%s setText:@"%s"]' % (view, text))
viewHelpers.flushCoreAnimationTransaction()
def isFirstResponder(view):
return fb.evaluateBooleanExpression('[%s isFirstResponder]' % view)
| 30.145631 | 113 | 0.732689 | 329 | 3,105 | 6.896657 | 0.349544 | 0.028206 | 0.056413 | 0.022477 | 0.196562 | 0.163949 | 0.092552 | 0.058175 | 0.058175 | 0.058175 | 0 | 0.001915 | 0.159098 | 3,105 | 102 | 114 | 30.441176 | 0.867101 | 0.070209 | 0 | 0.304348 | 0 | 0 | 0.153766 | 0.015967 | 0 | 0 | 0 | 0 | 0 | 1 | 0.275362 | false | 0 | 0.057971 | 0.202899 | 0.565217 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
d7d7eb91cc6291ffc2e3931f28156e9ccd13a035 | 1,826 | py | Python | inaworld/tokens.py | epfahl/inaworld | 886bd1c0ce143eb09d5fe3c479e0ed0e796bf836 | [
"MIT"
] | null | null | null | inaworld/tokens.py | epfahl/inaworld | 886bd1c0ce143eb09d5fe3c479e0ed0e796bf836 | [
"MIT"
] | null | null | null | inaworld/tokens.py | epfahl/inaworld | 886bd1c0ce143eb09d5fe3c479e0ed0e796bf836 | [
"MIT"
] | null | null | null | """Tokenize a document.
*** NLTK tokenization and this module have been deprecated in favor of a
sklearn-based solution. However, NLTK may offer more options for tokenization,
stemming, etc., this module is retained for future reference.
"""
import re
import nltk
import toolz as tz
re_not_alpha = re.compile('[^a-zA-Z]')
STOPWORDS = set(nltk.corpus.stopwords.words('english'))
def is_alpha(tt):
"""Given a POS tagged token (<token>, <pos>), return True if the token has
only alphabetic characters (i.e., no punctuation or numbers).
"""
return not bool(re_not_alpha.search(tt[0]))
def not_proper(tt):
"""Given a POS tagged token (<token>, <pos>), return True if the token is
not tagged as a proper noun ('NNP').
"""
return (tt[1] != 'NNP')
def not_stopword(tt):
"""Given a POS tagged token (<token>, <pos>), return True if the token is
not a stopword.
"""
return (tt[0] not in STOPWORDS)
def lower(tt):
"""Given a POS tagged token (<token>, <pos>), return
(<token>.lower(), <pos>).
"""
return (tt[0].lower(), tt[1])
def stem(tt):
"""Given a POS tagged token (<token>, <pos>), return
(<stemmed token>, <pos>).
"""
return (nltk.stem.lancaster.LancasterStemmer().stem(tt[0]), tt[1])
def remove_pos(tt):
"""Given a POS tagged token (<token>, <pos>), return only the token.
"""
return tt[0]
def tokenize(doc, with_stem=False):
"""Given a document string, return a list of tokens.
"""
pipeline = [
(filter, is_alpha),
(filter, not_proper),
(map, lower),
(filter, not_stopword)]
if with_stem:
pipeline += [(map, stem)]
pipeline += [(map, remove_pos)]
return list(tz.thread_last(
nltk.tag.pos_tag(nltk.tokenize.word_tokenize(doc)),
*pipeline))
| 25.71831 | 79 | 0.624863 | 261 | 1,826 | 4.306513 | 0.348659 | 0.072064 | 0.087189 | 0.058719 | 0.238434 | 0.238434 | 0.238434 | 0.238434 | 0.238434 | 0.142349 | 0 | 0.00563 | 0.221796 | 1,826 | 70 | 80 | 26.085714 | 0.785362 | 0.461665 | 0 | 0 | 0 | 0 | 0.021205 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.241379 | false | 0 | 0.103448 | 0 | 0.586207 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 |
d7d93021ccae0a77677be8252a5390c6ed0ed049 | 686 | py | Python | sympycore/heads/arithmetic.py | radovankavicky/pymaclab | 21da758f64ed0b62969c9289576f677e977cfd98 | [
"Apache-2.0"
] | 96 | 2015-01-25T05:59:56.000Z | 2021-12-29T14:05:22.000Z | sympycore/heads/arithmetic.py | 1zinnur9/pymaclab | 21da758f64ed0b62969c9289576f677e977cfd98 | [
"Apache-2.0"
] | 3 | 2015-12-17T19:25:46.000Z | 2018-06-19T07:05:20.000Z | sympycore/heads/arithmetic.py | 1zinnur9/pymaclab | 21da758f64ed0b62969c9289576f677e977cfd98 | [
"Apache-2.0"
] | 36 | 2016-01-31T15:22:01.000Z | 2021-03-29T07:03:07.000Z |
#obsolete, each head should be defined in a separate file
__all__ = ['FLOORDIV', 'MOD']
from .base import NaryHead
class ModHead(NaryHead):
"""
ModHead represents module n-ary operation,
data is a n-tuple of expression operands.
"""
op_mth = '__mod__'
op_rmth = '__rmod__'
op_symbol = '%'
def __repr__(self): return 'MOD'
class FloordivHead(NaryHead):
"""
FloordivHead represents floor-division n-ary operation,
data is a n-tuple of expression operands.
"""
op_mth = '__floordiv__'
op_rmth = '__rfloordiv__'
op_symbol = '//'
def __repr__(self): return 'FLOORDIV'
MOD = ModHead()
FLOORDIV = FloordivHead()
| 18.540541 | 59 | 0.653061 | 82 | 686 | 5.04878 | 0.52439 | 0.05314 | 0.062802 | 0.082126 | 0.36715 | 0.36715 | 0.246377 | 0.246377 | 0.246377 | 0.246377 | 0 | 0 | 0.237609 | 686 | 36 | 60 | 19.055556 | 0.791587 | 0.348397 | 0 | 0 | 0 | 0 | 0.160099 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.071429 | 0.142857 | 0.785714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 |
d7ddf28312cf505e16bdb958ec521e74d90b4d5b | 898 | py | Python | glycowork/tests/test_hierarchyfilter.py | Old-Shatterhand/glycowork | 544fde03dd38cf95fb97792e050d7ff68f5637b1 | [
"MIT"
] | 22 | 2021-04-22T23:53:26.000Z | 2022-03-21T00:36:32.000Z | glycowork/tests/test_hierarchyfilter.py | Old-Shatterhand/glycowork | 544fde03dd38cf95fb97792e050d7ff68f5637b1 | [
"MIT"
] | 3 | 2021-04-23T13:01:07.000Z | 2022-03-16T19:13:12.000Z | glycowork/tests/test_hierarchyfilter.py | Old-Shatterhand/glycowork | 544fde03dd38cf95fb97792e050d7ff68f5637b1 | [
"MIT"
] | 2 | 2021-07-06T14:13:40.000Z | 2021-12-15T15:12:37.000Z | import glycowork
from glycowork.glycan_data.loader import df_species
from glycowork.ml.train_test_split import *
train_x, val_x, train_y, val_y, id_val, class_list, class_converter = hierarchy_filter(df_species,
rank = 'Kingdom')
print(train_x[:10])
train_x, val_x, train_y, val_y, id_val, class_list, class_converter = hierarchy_filter(df_species,
rank = 'Kingdom',
wildcard_seed = True,
wildcard_list = linkages,
wildcard_name = 'bond')
print(train_x[-10:])
| 56.125 | 112 | 0.406459 | 74 | 898 | 4.567568 | 0.418919 | 0.071006 | 0.053254 | 0.059172 | 0.491124 | 0.491124 | 0.491124 | 0.491124 | 0.491124 | 0.491124 | 0 | 0.009639 | 0.537862 | 898 | 15 | 113 | 59.866667 | 0.804819 | 0 | 0 | 0.166667 | 0 | 0 | 0.020045 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.25 | 0 | 0.25 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
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