Reset23/the-stack-v2-new-python · Datasets at Hugging Face

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/Chapter7/Samples/even_or_odd.py

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GSantos23/Crash_Course

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2020-03-20T23:20:43.201255

2018-08-21T01:13:06

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# Sample 7.4 number = input("Enter a number, and I'll tell you if it's even or odd: ") number = int(number) if number % 2 == 0: print("\nThe number " + str(number) + " is even.") else: print("\nThe number " + str(number) + " is odd.")

[ "santosgerson64@gmail.com" ]

santosgerson64@gmail.com

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/src/test_cases/stokes/stokes.py

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no_license

Nasrollah/Master_project

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## STOKES PROBLEM ## # - div( nu * grad(u) - pI ) = f # div( u ) = 0 #import matplotlib #matplotlib.use('webagg') #matplotlib.rc('webagg', port = 8000, open_in_browser = False) from numpy import * from math import * from matplotlib import pyplot as plt from fenics import * from mshr import * # I need this if I want to use the functions below to create a mesh # domain = Rectangle(Point(0., 0.), Point(1.0,1.0)) # mesh = generate_mesh(domain, 16) N = [2**2, 2**3, 2**4, 2**5, 2**6] h = [1./i for i in N] h2 = [1./(i**2) for i in N] errsL2 = [] errsH1 = [] errsL2pressure = [] errsH1pressure = [] rates1 = [] rates2 = [] rates3 = [] for n in N: mesh = UnitSquareMesh(n,n) # ANOTHER WAY TO DEFINE THE TAYLOR HOOD ON FEniCS 1.7 #P1 = FiniteElement("Lagrange", triangle, 1) #P2 = FiniteElement("Lagrange", triangle, 2) #TH = (P2 * P2) * P1 #W = FunctionSpace(mesh, TH) V = VectorFunctionSpace(mesh, "Lagrange", 2) # space for velocity Q = FunctionSpace(mesh, "Lagrange", 1) # space for pressure W = V * Q u, p = TrialFunctions(W) v, q = TestFunctions(W) x = SpatialCoordinate(mesh) nu = 1.0/8.0 # I have to remember that the u_exact has to satisfy as well the boundary conditions (and not only the system of equations) # that's why there's the pi*x[0], so the sin is 0 on the right boundary (i.e. x[0] = 1)) u_exact = as_vector((0, sin(pi*x[0]))) # to use as a solution to verify the convergence #u_exact = as_vector((0, x[0]*(1-x[0]))) # as_vector() ??? p_exact = 0.5 - x[1] # this function has mean value zero (its integral in [0,1] x [0,1] is zero) # hence, I can use it as exact solution to compare it with the numerical solution # since I put the constraint that mean_value(pressure) = 0 # which is equivalent to setting the null space of the matrix A as done later in the code f = - nu*div(grad(u_exact)) + grad(p_exact) # I changed the sign in the gradient # Since the pressure is defined up to some constant, we compare the gradients g = nu*div(grad(u_exact)) + f # pressure gradient #u_exact_e = Expression((" 0 ", "x[0]*(1-x[0])" ), domain=mesh, degree=2) u_exact_e = Expression((" 0 ", "sin(pi*x[0])" )) p_exact_e = Expression("0.5-x[1]", domain=mesh, degree=1) # plot(u_exact_e, mesh = mesh, title = "exact velocity") # plot(p_exact_e, mesh = mesh, title = "exact pressure") inflow = DirichletBC(W.sub(0), u_exact_e, "(x[1] > 1.0 - DOLFIN_EPS) && on_boundary") outflow = DirichletBC(W.sub(0), u_exact_e, "(x[1] < DOLFIN_EPS) && on_boundary") sides = DirichletBC(W.sub(0), Constant((0.0, 0.0)) , "on_boundary && ((x[0] < DOLFIN_EPS) || (x[0] > 1.0 - DOLFIN_EPS))") # bc_V = DirichletBC(W.sub(0), u_exact_e, "on_boundary") # # this is to verify that I am actually applying some BC # U = Function(W) # # this applies BC to a vector, where U is a function # inflow.apply(U.vector()) # outflow.apply(U.vector()) # sides.apply(U.vector()) # # plot(U.split()[0]) # interactive() # exit() bcs = [inflow, outflow, sides] #bcs = [bc_V] # BY MAGNE # a = inner(grad(u), grad(v)) * dx # b = q * div(u) * dx # # lhs = a + b + adjoint(b) # STILL NOT CLEAR # rhs = inner(f, v) * dx # # A = assemble(lhs, PETScMatrix()) # B = assemble(rhs) # # for bc in bcs: # bc.apply(A) # bc.apply(B) F0 = nu*inner(grad(u), grad(v))*dx F0 -= inner(p*Identity(2), grad(v))*dx F0 -= inner(f, v)*dx F1 = q*div(u)*dx F = F0 + F1 a = lhs(F) L = rhs(F) A = assemble(a, PETScMatrix()) b = assemble(L) for bc in bcs: bc.apply(A) bc.apply(b) # ----------------------- # # IN THIS WAY I AM SETTING THE NULL SPACE FOR THE PRESSURE # since p + C for some constant C is still a solution, I take the pressure with mean value 0 constant_pressure = Function(W).vector() constant_pressure[W.sub(1).dofmap().dofs()] = 1 null_space = VectorSpaceBasis([constant_pressure]) A.set_nullspace(null_space) # ----------------------- # U = Function(W) #solve(lhs == rhs, U, bcs) # solve(A, U.vector(), B) # I am putting the solution in the vector U solve(A, U.vector(), b) uh, ph = U.split() # I can't use split(U), because this would not be a proper function, but I can use it in the variational form #plot(uh, title = "computed velocity") #plot(ph, title = "computed pressure") # IN THIS WAY I CAN PLOT AN EXPRESSION #plot(u_exact, mesh = mesh, title = "exact velocity") #plot(p_exact, mesh = mesh, title = "exact pressure") #interactive() # compute errors "by hands" # 'assemble' carrying out the integral L2_error_u = assemble((u_exact-uh)**2 * dx)**.5 H1_error_u = assemble(grad(uh-u_exact)**2 * dx)**.5 L2_error_p = assemble((p_exact - ph)**2 * dx)**.5 #H1_error_p = assemble((grad(ph) - g)**2 * dx)**.5 errsL2.append(L2_error_u) errsH1.append(H1_error_u) errsL2pressure.append(L2_error_p) #errsH1pressure.append(H1_error_p) print errsH1 print "||u - uh; L^2|| = {0:1.4e}".format(L2_error_u) print "|u - uh; H^1| = {0:1.4e}".format(H1_error_u) print "||p - ph; L^2|| = {0:1.4e}".format(L2_error_p) #print "||p - ph; H^1|| = {0:1.4e}".format(H1_error_p) #print errsL2 # for i in range(len(h)-1): # rates1.append(math.log(errsH1[i+1]/errsH1[i])/math.log(h[i+1]/h[i]) ) for i in range(len(h)-1): rates1.append(math.log(errsL2pressure[i+1]/errsL2pressure[i])/math.log(h[i+1]/h[i]) ) print rates1 #print range(len(h)-1) # errsH1 and h^2 are parallel hence the convergence rate is 2 plt.loglog(h, errsH1, label = 'Error H1 norm') plt.loglog(h, h2, label = 'h^2') plt.loglog(h,h, label = 'h') plt.xlabel('h') plt.ylabel('error') plt.title('Rate of convergence') plt.grid(True) # TO PUT THE LEGEND OUTSIDE THE FIGURE fig = plt.figure ax = plt.subplot(111) box = ax.get_position() ax.set_position([ box.x0, box.y0, box.width*0.8, box.height ]) ax.legend(loc = 'center left', bbox_to_anchor = (1,0.5)) plt.show() #plt.legend(loc = 'best') #plt.savefig("convergence_sine.png") #plt.show() # I don't plot for the polynomial because the error is 0 # (it doesn't make sense to plot it) # in order to see whether the convergence is quadratic, I have to # plot h^2 and if the two lines are parallel then the convergence of the # error is quadratic

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carlocis@simula.no

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/pandas_ml/skaccessors/covariance.py

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Mars-Wei/pandas-ml

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#!/usr/bin/env python import numpy as np import pandas as pd from pandas_ml.core.accessor import _AccessorMethods class CovarianceMethods(_AccessorMethods): """ Accessor to ``sklearn.covariance``. """ _module_name = 'sklearn.covariance' def empirical_covariance(self, *args, **kwargs): """ Call ``sklearn.covariance.empirical_covariance`` using automatic mapping. - ``X``: ``ModelFrame.data`` """ func = self._module.empirical_covariance data = self._data covariance = func(data.values, *args, **kwargs) covariance = self._constructor(covariance, index=data.columns, columns=data.columns) return covariance def ledoit_wolf(self, *args, **kwargs): """ Call ``sklearn.covariance.ledoit_wolf`` using automatic mapping. - ``X``: ``ModelFrame.data`` """ func = self._module.ledoit_wolf data = self._data shrunk_cov, shrinkage = func(data.values, *args, **kwargs) shrunk_cov = self._constructor(shrunk_cov, index=data.columns, columns=data.columns) return shrunk_cov, shrinkage def oas(self, *args, **kwargs): """ Call ``sklearn.covariance.oas`` using automatic mapping. - ``X``: ``ModelFrame.data`` """ func = self._module.oas data = self._data shrunk_cov, shrinkage = func(data.values, *args, **kwargs) shrunk_cov = self._constructor(shrunk_cov, index=data.columns, columns=data.columns) return shrunk_cov, shrinkage

[ "sinhrks@gmail.com" ]

sinhrks@gmail.com

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/util/label_map_util.py

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2021-07-24T03:20:08.449203

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# Copyright 2017 The TensorFlow Authors. 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. # ============================================================================== """Label map utility functions.""" import logging import tensorflow as tf from google.protobuf import text_format from . import string_int_label_map_pb2 def create_category_index(categories): """Creates dictionary of COCO compatible categories keyed by category id. Args: categories: a list of dicts, each of which has the following keys: 'id': (required) an integer id uniquely identifying this category. 'name': (required) string representing category name e.g., 'cat', 'dog', 'pizza'. Returns: category_index: a dict containing the same entries as categories, but keyed by the 'id' field of each category. """ category_index = {} for cat in categories: category_index[cat['id']] = cat return category_index def convert_label_map_to_categories(label_map, max_num_classes, use_display_name=True): """Loads label map proto and returns categories list compatible with eval. This function loads a label map and returns a list of dicts, each of which has the following keys: 'id': (required) an integer id uniquely identifying this category. 'name': (required) string representing category name e.g., 'cat', 'dog', 'pizza'. We only allow class into the list if its id-label_id_offset is between 0 (inclusive) and max_num_classes (exclusive). If there are several items mapping to the same id in the label map, we will only keep the first one in the categories list. Args: label_map: a StringIntLabelMapProto or None. If None, a default categories list is created with max_num_classes categories. max_num_classes: maximum number of (consecutive) label indices to include. use_display_name: (boolean) choose whether to load 'display_name' field as category name. If False of if the display_name field does not exist, uses 'name' field as category names instead. Returns: categories: a list of dictionaries representing all possible categories. """ categories = [] list_of_ids_already_added = [] if not label_map: label_id_offset = 1 for class_id in range(max_num_classes): categories.append({ 'id': class_id + label_id_offset, 'name': 'category_{}'.format(class_id + label_id_offset) }) return categories for item in label_map.item: if not 0 < item.id <= max_num_classes: logging.info('Ignore item %d since it falls outside of requested ' 'label range.', item.id) continue name = item.name code = item.display_name if item.id not in list_of_ids_already_added: list_of_ids_already_added.append(item.id) categories.append({'id': item.id, 'name': name, 'code': code}) return categories # TODO: double check documentaion. def load_labelmap(path): """Loads label map proto. Args: path: path to StringIntLabelMap proto text file. Returns: a StringIntLabelMapProto """ with tf.gfile.GFile(path, 'r') as fid: label_map_string = fid.read() label_map = string_int_label_map_pb2.StringIntLabelMap() try: text_format.Merge(label_map_string, label_map) except text_format.ParseError: label_map.ParseFromString(label_map_string) return label_map def get_label_map_dict(label_map_path): """Reads a label map and returns a dictionary of label names to id. Args: label_map_path: path to label_map. Returns: A dictionary mapping label names to id. """ label_map = load_labelmap(label_map_path) label_map_dict = {} for item in label_map.item: label_map_dict[item.name] = item.id return label_map_dict

[ "master@bluehack.net" ]

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mapsme/cf_audit

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#!/usr/bin/env python import os import sys BASE_DIR = os.path.abspath(os.path.dirname(__file__)) sys.path.insert(0, BASE_DIR) PYTHON = 'python2.7' VENV_DIR = os.path.join(BASE_DIR, 'venv', 'lib', PYTHON, 'site-packages') if os.path.exists(VENV_DIR): sys.path.insert(1, VENV_DIR) import codecs import datetime import logging import json from www.db import Project, database from www.util import update_features, update_features_cache if len(sys.argv) < 3: print "Usage: {} <project_id> <features.json> [<audit.json>]".format(sys.argv[0]) sys.exit(1) logging.basicConfig(level=logging.INFO, format='%(asctime)s %(message)s', datefmt='%H:%M:%S') logging.info('Reading JSON files') if sys.argv[2] == '-': features = [] else: with codecs.open(sys.argv[2], 'r', 'utf-8') as f: features = json.load(f)['features'] audit = None if len(sys.argv) > 3: with codecs.open(sys.argv[3], 'r', 'utf-8') as f: audit = json.load(f) if not features and not audit: logging.error("No features read") sys.exit(2) try: project = Project.get(Project.name == sys.argv[1]) except Project.DoesNotExist: logging.error("No such project: %s", sys.argv[1]) sys.exit(2) logging.info('Updating features') proj_audit = json.loads(project.audit or '{}') if audit: proj_audit.update(audit) project.audit = json.dumps(proj_audit, ensure_ascii=False) project.updated = datetime.datetime.utcnow().date() with database.atomic(): update_features(project, features, proj_audit) logging.info('Updating the feature cache') update_features_cache(project) project.save()

[ "zverik@textual.ru" ]

zverik@textual.ru

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/gudang_project/gudang_project/loginPage.py

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FilbertHainsly/Gudang_Project

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2023-05-10T00:35:10.700719

2021-06-17T08:38:52

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import tkinter as tk from PIL import Image, ImageTk class LoginPage(tk.Frame): def __init__(self, parent, Product): self.product = Product self.settings = Product.settings super().__init__(parent) self.configure(bg="white") self.grid(row=0, column=0, sticky="nsew") parent.grid_columnconfigure(0, weight=1) parent.grid_rowconfigure(0, weight=1) self.main_frame = tk.Frame(self, height=self.settings.height, width=self.settings.width, bg="white") self.main_frame.pack(expand=True) image = Image.open(self.settings.ikon) image_w, image_h = image.size ratio = image_w/self.settings.width image = image.resize((int(image_w//ratio-60),int(image_h//ratio//2))) self.ikon = ImageTk.PhotoImage(image) self.label_ikon = tk.Label(self.main_frame, image=self.ikon) self.label_ikon.pack(pady=5) self.label_username = tk.Label(self.main_frame, text="username", font=("Arial", 18, "bold"), bg="yellow", fg="black") self.label_username.pack(pady=5) self.var_username = tk.StringVar() self.entry_username = tk.Entry(self.main_frame, font=("Arial", 16, "bold"), textvariable=self.var_username) self.entry_username.pack(pady=5) self.label_password = tk.Label(self.main_frame, text="password", font=("Arial", 18, "bold"), bg="yellow", fg="black") self.label_password.pack(pady=5) self.var_password = tk.StringVar() self.entry_password = tk.Entry(self.main_frame, font=("Arial", 16, "bold"), show="*", textvariable=self.var_password) self.entry_password.pack(pady=5) self.btn_login = tk.Button(self.main_frame, text="LOGIN", font=("Arial", 18, "bold"), command=lambda:self.product.auth_login()) self.btn_login.pack(pady=5) self.btn_register = tk.Button(self.main_frame, text = "Register", font = ("Arial", 18, "bold"), command = lambda:self.product.change_page("register_page")) self.btn_register.pack(pady = 5) self.success_register = tk.Label(self.main_frame, text = "Register success, please re-enter username and password", font = ('Arial', 14)) self.false_msg = tk.Label(self.main_frame, text = "WRONG PASSWORD / USERNAME", font = ("Arial", 12, "bold"), bg="yellow", fg="black")

[ "noreply@github.com" ]

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SuRRoK/python_lessons

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# -*- coding: utf-8 -*- variable_1 = 'Hello!' def function1(): print('Hey!') print("Всем привет в этом чате!!!1") # print("Module name is", __name__)

[ "surrok6@gmail.com" ]

surrok6@gmail.com

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WillLuong97/Back-Tracking

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# Given n pairs of parentheses, write a function to generate all combinations of well-formed parentheses. # For example, given n = 3, a solution set is: # [ # "((()))", # "(()())", # "(())()", # "()(())", # "()()()" # ] #first approach - Brute Force def generateParenthesis(n): def generate(A = []): # print(A) if len(A) == 2*n: if valid(A): ans.append("".join(A)) else: A.append('(') generate(A) A.pop() A.append(')') generate(A) A.pop() def valid(A): bal = 0 for c in A: if c == '(': bal += 1 else: bal -= 1 if bal < 0: return False return bal == 0 ans = [] generate() return ans #second approach - using back tracking: def generateParenthesis_BackTracking(n): retStr = [] #back tracking def backTracking(parenString = "", opening_bracket_index = 0 , closing_bracket_index = 0): #if the parentheses string finally reaches number of parentheses pairs: if(len(parenString) == 2 * n): retStr.append(parenString) #add a opening parentheses to the string parenthese string: if opening_bracket_index < n: backTracking(parenString + '(', opening_bracket_index + 1, closing_bracket_index) #add a closing parenthese to string if closing_bracket_index < opening_bracket_index: backTracking(parenString + ')', opening_bracket_index, closing_bracket_index + 1) backTracking() return retStr def main(): print(generateParenthesis(2)) print("") print(generateParenthesis_BackTracking(2)) pass main()

[ "tluong@stedwards.edu" ]

tluong@stedwards.edu

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/OtherScripts/Split.py

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minghao2016/protein_structure_clustering

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refs/heads/master

2022-01-20T15:46:33.694778

2019-04-12T17:03:25

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x = 'C:/Users/pedro.arguelles/Desktop/Repos/oi-mua/src/OI.FFM.InboundServices/pas/' y = '/'.join(str(x).split('/')[7:]) y = str(y).replace('/','\\') print(y)

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minghao2016.noreply@github.com

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SanderRonde/master-thesis

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from .cyclomatic_complexity import generate_cyclomatic_complexity_plot from .lines_of_code import generate_lines_of_code_plot from .size import generate_size_plot from .structural_complexity import generate_structural_complexity_plot from .maintainability import generate_maintainability_plot

[ "awsdfgvhbjn@gmail.com" ]

awsdfgvhbjn@gmail.com

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/light.py

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[]

no_license

jack1806/Lamp

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refs/heads/master

2020-03-26T20:21:38.078186

2018-08-19T16:26:07

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#!/usr/bin/python3 import argparse import requests LED_ON = "http://192.168.4.1/led/0" LED_OFF = "http://192.168.4.1/led/1" def req(url): try: request = requests.get(url) response = request.text if response: return 0 else: print("Something went wrong!") except requests.ConnectionError or requests.ConnectTimeout: print("Something went wrong!") if __name__ == "__main__": parser = argparse.ArgumentParser(description="It works!") parser.add_argument("mode", type=str, metavar="on/off") args = parser.parse_args() print(args.mode) # parser.add_argument("-on", help="Turn on", action="store_true", default=False) # parser.add_argument("-off", help="Turn off", action="store_true", default=False) # args = parser.parse_args() # if args.on: # req(LED_ON) # elif args.off: # req(LED_OFF) # else: # parser.print_help()

[ "root@localhost.localdomain" ]

root@localhost.localdomain

bd31f3314a701b36b8ab13211642331deac2efca

f7d28b0673ee4c6370c105ccaf46307545159d5b

/remotesensor/sensors/__init__.py

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[]

no_license

kpaddy/remotesensor

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d0b5af89bcc500262f2d63ff27cd42985fc5ffdc

refs/heads/master

2021-01-10T08:31:11.267190

2015-08-11T22:05:14

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2015-08-11T22:05:14

2015-05-27T19:18:14

JavaScript

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py

class Sensor(object): def __init__(self, *args, **kwargs): object.__init__(self, *args, **kwargs) self.id= None self.customerId = None self.zipcode = None self.name = None self.installedTime = None self.activatedTime = None self.currenStatus = None self.createdTime = None self.lastDataReceviedTime = None def registerNew(self, doc): pass def unRegister(self, doc): pass

[ "PaddyK@behaviormatrix.com" ]

PaddyK@behaviormatrix.com

b3fb881c8935c566164a7f8fc763a3ed6852dbd5

1318f50c1175ed800f3a473e886055936782c2a5

/StudentEvaluation/StudentEvaluation.py

b9aab9233556063f1a10b8cfdc8fd54779a03895

[]

no_license

SoumilRathi/machine-learning-projects

b129db2b6d7230dc99637207ac2753e1661bc4c3

41b8518e770192fabf76490e63714bb95bbc9801

refs/heads/main

2023-08-18T14:47:35.733484

2021-10-04T17:24:31

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from sklearn.decomposition import PCA import matplotlib.pyplot as plt import numpy as np import pandas as pd from sklearn.cluster import KMeans from numpy import where df = pd.read_csv("Evaluation.csv") #seperating non-question features df = df.iloc[:,5:33] #dropping features from 28 to 2 pca = PCA(n_components = 2) reduced_train = pca.fit_transform(df) #For visualisation purposes #X = [] #y = [] #for i in range(reduced_train.shape[0]): # X.append(reduced_train[i][0]) # y.append(reduced_train[i][1]) #plt.scatter(X, y) #checking how many clusters we should have #problems = [] #rangeToPlot = range(1,6) #for k in rangeToPlot: # model = KMeans(n_clusters = k) # model.fit(reduced_train) # problems.append(model.inertia_) #plt.plot(rangeToPlot, problems) #plt.show() #since the 'elbow' is at 3, we will choose 3 as a natural number of clusters model = KMeans(n_clusters = 3) model.fit(reduced_train) y = model.predict(reduced_train) #seperating into 3 different arrays for graphing zero = [] two = [] one = [] for i in range(3): toPrint = where(y == i) for j in toPrint: for k in j: if i == 0: zero.append(k) if i == 1: one.append(k) if i == 2: two.append(k) #graphing it for value in one[1:500]: plt.scatter(reduced_train[value][0], reduced_train[value][1], c = 'blue') for value in two[1:500]: plt.scatter(reduced_train[value][0], reduced_train[value][1], c = 'red') for value in zero[1:500]: plt.scatter(reduced_train[value][0], reduced_train[value][1], c = 'green') plt.show()

[ "noreply@github.com" ]

SoumilRathi.noreply@github.com

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/migration/pom/action/script_pom.py

89b768a6eace9d0037327d7c2a618eb7051bc382

[]

no_license

yassinekarim/Script

c87a61854c819b0227f6533fdafdbb1f99822ca5

f7de5a8ea6704402c82cb156b6a26ccf803caa05

refs/heads/master

2020-03-29T15:44:36.003191

2014-09-15T09:31:54

null

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null

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Python

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py

"""pom migration module""" #!/usr/bin/python3 # -*-coding:utf-8 -* from lxml import etree as ET import os BASESTRING = (str, bytes) class PomMigration: pluginVersionList = None def get_plugin_version_list(cls): """getter for pom configuration list""" return cls.pluginVersionList get_plugin_version_list = classmethod(get_plugin_version_list) def create_dep(cls, group_id, artifact_id, version, scope): """create a new dependencies element """ newdep = ET.Element("{http://maven.apache.org/POM/4.0.0}dependency") group_id_tag = ET.Element("{http://maven.apache.org/POM/4.0.0}groupId") group_id_tag.text = group_id newdep.append(group_id_tag) artifact_id_tag = ET.Element("{http://maven.apache.org/POM/4.0.0}artifactId") artifact_id_tag.text = artifact_id newdep.append(artifact_id_tag) if scope is not None: scope_tag = ET.Element("{http://maven.apache.org/POM/4.0.0}scope") scope_tag.text = scope newdep.append(scope_tag) if version is not None: version_tag = ET.Element("{http://maven.apache.org/POM/4.0.0}version") version_tag.text = version newdep.append(version_tag) return newdep create_dep = classmethod(create_dep) def new_dep(cls, element, group_id, artifact_id, vers): """if version is set update version""" version = element.find("{http://maven.apache.org/POM/4.0.0}version") if version != None: version = vers scope = element.find("{http://maven.apache.org/POM/4.0.0}scope") if scope != None: scope = scope.text return cls.create_dep(group_id, artifact_id, version, scope) new_dep = classmethod(new_dep) def find_version(cls, file_path, artifact_id): """parse parent pom to find version of artifactId""" parser = ET.XMLParser(remove_blank_text=True) tree = ET.parse(file_path, parser) root = tree.getroot() version = root.find("xmlns:version", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}) if version is not None: return version.text else: relativepath = root.find("xmlns:parent/xmlns:relativepath", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}) if relativepath is not None: absolute_file_path = os.path.abspath(file_path) project_path = absolute_file_path[:absolute_file_path.rfind("/")] old_path = os.getcwd() os.chdir(project_path) tmp = cls.find_version(relativepath.text, artifact_id) os.chdir(old_path) return tmp else: version_text = input("version of "+artifact_id+" cannot be determined please enter the version") return version_text find_version = classmethod(find_version) def verify_pom(cls, file_path, artifact_id): """verify if the entered project folder correspont to the expected artifact""" parser = ET.XMLParser(remove_blank_text=True) tree = ET.parse(file_path, parser) root = tree.getroot() artifact_id_tag = root.find("xmlns:artifactId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}) if artifact_id_tag.text != artifact_id: print("error: in "+file_path+" expected artifactId "+artifact_id+" found "+artifact_id_tag.text) return "" return cls.find_version(file_path, artifact_id) verify_pom = classmethod(verify_pom) def get_project_path(cls, artifact_id): """ask from the user the project path for artifactId and verify if the given path is correct""" project_path = input('Please enter the path to the project directory :') while not os.path.exists(project_path) and not os.path.isdir(project_path): print(project_path+" does not exist on disk or isn't a dir") project_path = input('Please enter the path to the project directory :') pom_file_path = os.path.join(project_path, "pom.xml") if not os.path.isfile(pom_file_path): print("error: no pom found in "+project_path) return cls.get_project_path(artifact_id) tmp = cls.verify_pom(pom_file_path, artifact_id) if tmp == "": return cls.get_project_path(artifact_id) return project_path get_project_path = classmethod(get_project_path) def parse_xml(cls, file_path): """parse pom.xml to change dependecies version""" parser = ET.XMLParser(remove_blank_text=True) tree = ET.parse(file_path, parser) root = tree.getroot() dependencies = root.findall("xmlns:dependencies/xmlns:dependency", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}) plugins = root.findall("xmlns:build/xmlns:plugins/xmlns:plugin", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}) richfaces = False jsf_impl = False is_ear = False packaging = root.find("{http://maven.apache.org/POM/4.0.0}packaging") if packaging is not None and packaging.text == "ear": is_ear = True for element in plugins: if isinstance(element.tag, BASESTRING): artifact_id = element.find("xmlns:artifactId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}).text for plugin in cls.pluginVersionList: if plugin.artifact_id == artifact_id: plugin.execute_replace(element) break if artifact_id == "maven-ear-plugin": configuration = element.find("xmlns:configuration", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}) jboss = configuration.find("xmlns:jboss", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}) if jboss is not None: version = jboss.find("xmlns:version", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}) if version is not None: if version.text == "5": version.text = "6" configuration.append(version) configuration.remove(jboss) for element in dependencies: if isinstance(element.tag, BASESTRING): if "org.apache.maven.plugins" in element.find("xmlns:groupId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}).text: artifact_id = element.find("xmlns:artifactId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}).text for plugin in cls.pluginVersionList: if plugin.artifact_id == artifact_id: plugin.execute_replace(element) break elif "org.richfaces." in element.find("xmlns:groupId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}).text: parent = element.getparent() if not richfaces: newdep = cls.new_dep(element, "org.richfaces.ui", "richfaces-components-ui", "4.3.6.Final") parent.append(newdep) newdep = cls.new_dep(element, "org.richfaces.core", "richfaces-core-impl", "4.3.6.Final") parent.append(newdep) richfaces = True parent.remove(element) elif "com.sun.facelets" == element.find("xmlns:groupId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}).text: parent = element.getparent() if not jsf_impl: newdep = cls.new_dep(element, "com.sun.faces", "jsf-impl", "2.1.7-jbossorg-2") parent.append(newdep) jsf_impl = True parent.remove(element) elif "jsf-impl" == element.find("xmlns:artifactId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}).text: parent = element.getparent() if not jsf_impl: newdep = cls.new_dep(element, "com.sun.faces", "jsf-impl", "2.1.7-jbossorg-2") parent.append(newdep) jsf_impl = True parent.remove(element) elif "jsf-api" == element.find("xmlns:artifactId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}).text: parent = element.getparent() newdep = cls.new_dep(element, "org.jboss.spec.javax.faces", "jboss-jsf-api_2.1_spec", "2.1.19.1.Final") parent.append(newdep) parent.remove(element) elif "javax.ejb" == element.find("xmlns:groupId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}).text: parent = element.getparent() newdep = cls.new_dep(element, "org.jboss.spec.javax.ejb", "jboss-ejb-api_3.1_spec", "1.0.1.Final") parent.append(newdep) parent.remove(element) elif "hibernate-annotations" == element.find("xmlns:artifactId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}).text: parent = element.getparent() newdep = cls.new_dep(element, "org.hibernate", "hibernate-core", "4.0.1.Final") parent.append(newdep) parent.remove(element) elif "jboss-seam-jul" == element.find("xmlns:artifactId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}).text: parent = element.getparent() parent.remove(element) elif "ejb3-persistence" == element.find("xmlns:artifactId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}).text: parent = element.getparent() parent.remove(element) elif "org.hibernate" == element.find("xmlns:groupId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}).text: version = element.find("xmlns:version", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}) if version is not None: element.remove(version) elif "javax.persistence" == element.find("xmlns:groupId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}).text: parent = element.getparent() newdep = cls.new_dep(element, "org.hibernate.javax.persistence", "hibernate-jpa-2.0-api", "1.0.1.Final") parent.append(newdep) parent.remove(element) elif "drools-api" == element.find("xmlns:artifactId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}).text: parent = element.getparent() parent.remove(element) elif "jbpm-jpdl" == element.find("xmlns:artifactId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}).text: parent = element.getparent() parent.remove(element) elif "net.ihe.gazelle" in element.find("xmlns:groupId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}).text: artifact_id = element.find("xmlns:artifactId", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}) version = element.find("xmlns:version", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}) dep_type = element.find("xmlns:type", namespaces={'xmlns': 'http://maven.apache.org/POM/4.0.0'}) if dep_type is not None and dep_type.text == "ejb": is_migrated = input('is the project with artifactId = '+artifact_id.text+' already migrated answer yes if the project directory is a subfolder of the parent project(y/n) [y]')or 'y' while is_migrated != 'y'and is_migrated != 'n': print('incorect input try again:') is_migrated = input('is the project with artifactId = '+artifact_id.text+' already migrated answer yes if the project directory is a subfolder of the parent project(y/n) [y]')or 'y' if is_migrated == 'y': if version is not None: version_text = input('Please enter the version of the migrated project ['+version.text+']') or version.text version.text = version_text else: from migration.main import Main project_path = cls.get_project_path(artifact_id.text) print(project_path) Main.walk(project_path) tree.write(file_path, pretty_print=True, encoding='utf-8', xml_declaration=True) return is_ear parse_xml = classmethod(parse_xml)

[ "yassine.karim@gmail.com" ]

yassine.karim@gmail.com

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/aliyun-python-sdk-hbase/aliyunsdkhbase/request/v20190101/UnTagResourcesRequest.py

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permissive

aliyun/aliyun-openapi-python-sdk

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refs/heads/master

2023-08-04T12:32:57.028821

2023-08-04T06:00:29

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NOASSERTION

2023-09-14T08:51:06

2015-07-23T09:39:45

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# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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. from aliyunsdkcore.request import RpcRequest from aliyunsdkhbase.endpoint import endpoint_data class UnTagResourcesRequest(RpcRequest): def __init__(self): RpcRequest.__init__(self, 'HBase', '2019-01-01', 'UnTagResources','hbase') self.set_method('POST') if hasattr(self, "endpoint_map"): setattr(self, "endpoint_map", endpoint_data.getEndpointMap()) if hasattr(self, "endpoint_regional"): setattr(self, "endpoint_regional", endpoint_data.getEndpointRegional()) def get_All(self): return self.get_query_params().get('All') def set_All(self,All): self.add_query_param('All',All) def get_ResourceIds(self): return self.get_query_params().get('ResourceId') def set_ResourceIds(self, ResourceIds): for depth1 in range(len(ResourceIds)): if ResourceIds[depth1] is not None: self.add_query_param('ResourceId.' + str(depth1 + 1) , ResourceIds[depth1]) def get_TagKeys(self): return self.get_query_params().get('TagKey') def set_TagKeys(self, TagKeys): for depth1 in range(len(TagKeys)): if TagKeys[depth1] is not None: self.add_query_param('TagKey.' + str(depth1 + 1) , TagKeys[depth1])

[ "sdk-team@alibabacloud.com" ]

sdk-team@alibabacloud.com

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/venv/bin/django-admin.py

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[]

no_license

hirossan4049/ZisakuZitenAPI

9c2ef8de5c197353a33f58518d60aff304b8d2df

439f202b4939059b42c771960ad579048737f3d7

refs/heads/master

2022-05-04T12:08:39.670493

2020-01-11T06:23:41

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null

2022-04-22T22:50:05

2019-12-01T07:14:23

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#!/Users/Linear/Desktop/pythonnnnn/ZisakuZitenRestServer/venv/bin/python from django.core import management if __name__ == "__main__": management.execute_from_command_line()

[ "haruto405329@gmail.com" ]

haruto405329@gmail.com

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/supervised_learning/0x03-optimization/11-learning_rate_decay.py

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[]

no_license

anaruzz/holbertonschool-machine_learning

64c66a0f1d489434dd0946193747ed296760e6c8

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refs/heads/master

2023-07-30T20:09:30.416167

2021-09-23T16:22:40

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#!/usr/bin/env python3 """ Script that updates a variable in place using inverse time decay in numpy """ import numpy as np def learning_rate_decay(alpha, decay_rate, global_step, decay_step): """ returns the updated value for alpha """ alpha /= (1 + decay_rate * (global_step // decay_step)) return alpha

[ "laabidigh@gmail.com" ]

laabidigh@gmail.com

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/utility.py

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[]

no_license

zzh237/GUSTO

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1ce29c339e3e94c9f8a498c3114a77463d443325

refs/heads/master

2020-03-07T22:22:03.649821

2018-04-02T12:25:12

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import os import sys import cv2 import numpy as np import pandas as pd from sklearn.datasets import load_wine from scipy import linalg import scipy.sparse as sps from scipy.linalg import pinv from sklearn.metrics.pairwise import pairwise_distances from sklearn.mixture import GaussianMixture as GMM from sklearn.externals import joblib from sklearn.preprocessing import StandardScaler import matplotlib.pyplot as plt from sklearn.base import TransformerMixin,BaseEstimator rng = np.random.RandomState(42) def plot_error_bar(axisticks, axislabels, value, color, width, ax=None): # the width of the bars mean = value['mean'] std = value['std'] rects = ax.bar(axisticks + width, mean, 0.1, color=color, yerr=std) # women_means = (25, 32, 34, 20, 25) # women_std = (3, 5, 2, 3, 3) # rects2 = ax.bar(ind + width, women_means, width, color='y', yerr=women_std) # add some text for labels, title and axes ticks ax.set_xticks(axisticks) ax.set_xticklabels(axislabels) def autolabel(rects): """ Attach a text label above each bar displaying its height """ for rect in rects: height = rect.get_height() height = np.around(height, 2) ax.text(rect.get_x() + rect.get_width() / 2., 1.05 * height, '%.2f' % float(height), ha='center', va='bottom', fontsize=8) autolabel(rects) # plt.show() return ax def reconstructionError(projections,X): W = projections.components_ if sps.issparse(W): W = W.todense() p = pinv(W) reconstructed = (np.dot(np.dot(p,W),(X.T))).T # Unproject projected data errors = np.square(X-reconstructed) return np.nanmean(errors) def pairwiseDistCorr(X1, X2): assert X1.shape[0] == X2.shape[0] d1 = pairwise_distances(X1) d2 = pairwise_distances(X2) return np.corrcoef(d1.ravel(), d2.ravel())[0, 1] class GMMT(GMM): def transform(self,X): return self.predict_proba(X) # http://datascience.stackexchange.com/questions/6683/feature-selection-using-feature-importances-in-random-forests-with-scikit-learn class ImportanceSelect(BaseEstimator, TransformerMixin): #select the number of important features def __init__(self, model, n=1): self.model = model self.n = n def fit(self, *args, **kwargs): self.model.fit(*args, **kwargs) return self def transform(self, X): return X[:,self.model.feature_importances_.argsort()[::-1][:self.n]] def learning_curves_time(figname, title, xlabel, ylabel, values, ylim=None): N = len(values) ind = np.arange(N) # the x locations for the groups allvalues = ((key, values[key]['training time']) for key in values.keys()) xaxis_labels, train_time = zip(*allvalues) series = [(train_time,)] widths = [i * 0.15 for i in range(len(series))] fig, ax = plt.subplots(1, 1) plt.title(title) if ylim is not None: plt.ylim(*ylim) plt.xlabel(xlabel) plt.ylabel(ylabel) ax.grid(False) # R = np.linspace(.1, 0.8, len(series)) # G = np.linspace(.3, 0.1, len(series)) # B = np.linspace(.7, 0.1, len(series)) R = np.random.random_sample((len(series),)) G = np.random.random_sample((len(series),)) B = np.random.random_sample((len(series),)) colors = zip(R, G, B) for i, item in enumerate(series): # train_sizes_abs, training_score, test_score, training_time, name = j value = dict() value['mean'] = item[0] value['std'] = 0 width = widths[i] color = colors[i] ax = plot_error_bar(ind, xaxis_labels, value, color, width, ax=ax) # ax.legend((rects), ('Accuracy')) ax.legend().set_visible(False) # ax.legend('training time', loc='upper center', shadow=True, fontsize='small') # ax.legend(loc='upper center', shadow=True, fontsize='medium') ymin, ymax = ax.get_ylim() ymax = 1.2 * ymax ax.set_ylim((ymin, ymax)) # plt.xticks(ind, xaxis_labels, rotation=90) plt.tight_layout() fig.savefig(figname, bbox_inches='tight') def plot_accuracy_error(figname, title, xlabel, ylabel, values, ylim=None): N = len(values) ind = np.arange(N) # the x locations for the groups allvalues = ((key, values[key]['cv score'], values[key]['cv score std'], values[key]['train score'], values[key]['train score std'], values[key]['test score'], values[key]['test score std'] ) for key in values.keys()) xaxis_labels, cv_error_mean, cv_error_std, train_error_mean, train_error_std, test_error_mean, test_error_std = zip(*allvalues) series = [(train_error_mean, train_error_std), (cv_error_mean, cv_error_std), (test_error_mean, test_error_std)] widths = [i * 0.15 for i in range(len(series))] fig, ax = plt.subplots(1, 1) plt.title(title) if ylim is not None: plt.ylim(*ylim) plt.xlabel(xlabel) plt.ylabel(ylabel) ax.grid(False) # R = np.linspace(.1, 0.8, len(series)) # G = np.linspace(.3, 0.1, len(series)) # B = np.linspace(.7, 0.1, len(series)) R = np.random.random_sample((len(series),)) G = np.random.random_sample((len(series),)) B = np.random.random_sample((len(series),)) colors = zip(R, G, B) for i, item in enumerate(series): # train_sizes_abs, training_score, test_score, training_time, name = j value = dict() value['mean'] = item[0] value['std'] = item[1] width = widths[i] color = colors[i] ax = plot_error_bar(ind, xaxis_labels, value, color, width, ax=ax) # ax.legend((rects), ('Accuracy')) ax.legend(('train','cv', 'test'), loc='upper right', shadow=True, fontsize='small') # ax.legend(loc='upper center', shadow=True, fontsize='medium') ymin, ymax = ax.get_ylim() ymax = 1.2 * ymax ax.set_ylim((ymin, ymax)) # plt.xticks(ind, xaxis_labels, rotation=90) plt.tight_layout() fig.savefig(figname, bbox_inches='tight') def learning_iterations_performance(figname, title, xlabel, ylabel, values, ylim=None): allvalues = ((key, values[key]['model']) for key in list(values.keys())) xaxis_labels, model = zip(*allvalues) R = np.random.random_sample((len(model),)) G = np.random.random_sample((len(model),)) B = np.random.random_sample((len(model),)) colors = zip(R, G, B) # colors=['g','r'] linestyles = ['-.', ':', '-', '--',':'] markers = ['.','p','v','o','*'] print xaxis_labels fig, ax = plt.subplots(1, 1) plt.title(title) if ylim is not None: plt.ylim(*ylim) plt.xlabel(xlabel) plt.ylabel(ylabel) ax.set_ylabel(ylabel) ax.set_title(title) ax.grid(False) for i, j in enumerate(model): mlp = j label = xaxis_labels[i] niter = mlp.n_iter_ # ax.plot(np.arange(1, niter+1), np.asarray(mlp.loss_curve_), label=label, **plot_arg) ax.plot(mlp.validation_scores_, label=label, c=colors[i], marker = markers[i], linestyle=linestyles[i]) # iterations, mean, std = j # name = labels[i] # value = dict() # value['mean'] = mean # value['std'] = 0.0 # color = colors[i] # # ax = plot_line_chart(iterations, value, name, color, ax=ax) # labels, _ = zip(*values) labels = xaxis_labels ax.legend(ax.get_lines(), labels, bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.) fig.savefig(figname, bbox_inches='tight')

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class InitError(Exception): def __init__(self, message: str) -> None: super().__init__(message) class DataBaseError(Exception): def __init__(self, message: str) -> None: super().__init__(message) class UserError(Exception): def __init__(self, message: str) -> None: super().__init__(message)

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#!/usr/bin/env python # -*- coding: utf-8 -*- """ @Time :2019-06-11 下午 3:33 @Author : 罗林 @File : test_018_web_FirstCheck.py @desc : 信审管理自动化测试用例 """ import json import unittest from faker import Factory from common.myCommon import Assertion from common.myCommon.TestBaseCase import TestBaseCase from common.myFile import MockData as MD from hmpt.query import xqkj_query from hmpt.testAction import WebAction from hmpt.testAction import loginAction # from hmpt.testAction import specialAction fake = Factory().create('zh_CN') labelcontent = loginAction.sign + MD.words_cn(2) customerinformation = loginAction.sign + MD.words_cn(2) impactdata = loginAction.sign + MD.words_cn(2) windcontroldatasource = loginAction.sign + MD.words_en_lower(2) class test_018_web_FirstCheck(TestBaseCase): def test_001_active_contract(self): """ 激活订单，修改订单状态未机审通过 :return: """ global contract_uuid, app_user_uuid app_user_uuid = loginAction.get_user_uuid() contract_uuid = xqkj_query.get_contract_uuid_for_user(app_user_uuid) # contract_uuid = '3222d8b7acac4a45a91f0b1b01bd6fec' # contract_uuid = xqkj_query.get_contract_uuid_for_machine() loginAction.global_dict.set(contract_uuid=contract_uuid) loginAction.global_dict.set(app_user_uuid=app_user_uuid) # 修改订单状态为机审通过 xqkj_query.update_contract_machine_pass(contract_uuid, app_user_uuid) @unittest.skip('每次都会发送短信') def test_002_api_78dk_platform_tm_first_firstCheck_fail(self): """ 初审不通过 """ xqkj_query.update_contract_machine_first_check(contract_uuid) res = WebAction.test_api_78dk_platform_tm_first_firstCheck( uuid=contract_uuid, message='初审不通过', checkstate='fail', firstchecksuggest=10000) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('需要再次调试') def test_003_api_78dk_platform_tm_first_viewFirstCheckContract_fail(self): """ 初审信息查询初审不通过 :return: """ res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContract(contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_004_api_78dk_platform_tm_first_viewFirstCheckContracts_fail(self): """ 初审列表查询初审不通过 :return: """ res = json.loads(WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContracts( pagesize=10, state='all', pagecurrent=1, name='', begindate='', contractnumber='', enddate='', lable='', phone='', username='', firstcheckname='')) Assertion.verity(res['msg'], '成功') Assertion.verity(res['code'], '10000') Assertion.verity(res['data']['currentPage'], 1) Assertion.verity(res['data']['pageSize'], 10) Assertion.verityContain(res['data'], 'dataList') @unittest.skip('每次都会发送短信') def test_005_api_78dk_platform_tm_first_firstCheck_cancel(self): """ 初审取消 """ xqkj_query.update_contract_machine_first_check(contract_uuid) res = WebAction.test_api_78dk_platform_tm_first_firstCheck( uuid=contract_uuid, message='初审取消', checkstate='cancel', firstchecksuggest=10000) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('需要再次调试') def test_006_api_78dk_platform_tm_first_viewFirstCheckContract_cancel(self): """ 初审信息查询初审取消 :return: """ res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContract(contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_007_api_78dk_platform_tm_first_viewFirstCheckContracts_cancel(self): """ 初审列表查询初审取消 :return: """ res = json.loads(WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContracts( pagesize=10, state='all', pagecurrent=1, name='', begindate='', contractnumber='', enddate='', lable='', phone='', username='', firstcheckname='')) Assertion.verity(res['msg'], '成功') Assertion.verity(res['code'], '10000') Assertion.verity(res['data']['currentPage'], 1) Assertion.verity(res['data']['pageSize'], 10) Assertion.verityContain(res['data'], 'dataList') @unittest.expectedFailure def test_008_api_78dk_platform_tm_first_firstCheck_cancel_pass(self): """ 初审通过 """ xqkj_query.update_contract_machine_first_check(contract_uuid) res = WebAction.test_api_78dk_platform_tm_first_firstCheck( uuid=contract_uuid, message='初审通过', checkstate='pass', firstchecksuggest=10000) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('需要再次调试') def test_009_api_78dk_platform_tm_first_viewFirstCheckContract_pass(self): """ 初审信息查询初审通过 :return: """ res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContract(contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_010_api_78dk_platform_tm_first_viewFirstCheckContracts_pass(self): """ 初审列表查询初审通过 :return: """ res = json.loads(WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContracts( pagesize=10, state='all', pagecurrent=1, name='', begindate='', contractnumber='', enddate='', lable='', phone='', username='', firstcheckname='')) Assertion.verity(res['msg'], '成功') Assertion.verity(res['code'], '10000') Assertion.verity(res['data']['currentPage'], 1) Assertion.verity(res['data']['pageSize'], 10) Assertion.verityContain(res['data'], 'dataList') def test_011_api_78dk_platform_tm_first_viewTongdunInfo(self): """ 同盾信息查询 :return: """ res = WebAction.test_api_78dk_platform_tm_first_viewTongdunInfo(contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_012_api_78dk_platform_tm_first_viewMxInfo(self): """ 查询魔蝎报告 :return: """ res = WebAction.test_api_78dk_platform_tm_first_viewMxInfo(contractuuid=contract_uuid, type='1') Assertion.verity(json.loads(res)['code'], '20000') Assertion.verity(json.loads(res)['msg'], '通过合同UUID查询不到魔蝎数据!') def test_013_api_78dk_platform_tm_first_viewContractImages(self): """ 审核详情-影像资料(新) :return: """ res = WebAction.test_api_78dk_platform_tm_first_viewContractImages(contractuuid=contract_uuid) # Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '20000') def test_014_api_78dk_platform_tm_first_viewImageDataConfig_home(self): """ 查询影像列表家装分期 :return: """ res = WebAction.test_api_78dk_platform_tm_first_viewImageDataConfig( subdivisiontype='subdivision_type_home_installment') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_014_api_78dk_platform_tm_first_viewImageDataConfig_earnest(self): """ 查询影像列表定金分期 :return: """ res = WebAction.test_api_78dk_platform_tm_first_viewImageDataConfig( subdivisiontype='subdivision_type_earnest_installment') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_015_api_78dk_platform_tm_first_selectCanAuditCheck(self): """ 是否有权限审核 :return: """ res = WebAction.test_api_78dk_platform_tm_first_selectCanAuditCheck( uid=contract_uuid, checktype='audit_check_first') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('获取接口参数错误') def test_016_api_78dk_platform_tm_first_addAuditComment_one(self): """ 添加一条评论 :return: """ res = WebAction.test_api_78dk_platform_tm_first_addAuditComment() # auditcommentattachments=[], contractuuid=contract_uuid, replyauditcommentuuid='', # comment=fake.text(max_nb_chars=10)) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('获取接口参数错误') def test_017_api_78dk_platform_tm_first_addAuditComment_two(self): """ 添加一条评论 :return: """ res = WebAction.test_api_78dk_platform_tm_first_addAuditComment() # auditcommentattachments=[], contractuuid=contract_uuid, replyauditcommentuuid='', # comment=fake.text(max_nb_chars=50)) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') global auditCommentUuid auditCommentUuid = json.loads(res)['data']['auditCommentUuid'] @unittest.skip('获取接口参数错误') def test_018_api_78dk_platform_tm_first_editAuditComment(self): """ 编辑一条评论 :return: """ res = WebAction.test_api_78dk_platform_tm_first_editAuditComment() # auditcommentuuid=auditCommentUuid, auditcommentattachments=[], contractuuid=contract_uuid, # replyauditcommentuuid='', comment=fake.text(max_nb_chars=100)) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') global delAuditCommentUuid delAuditCommentUuid = json.loads(res)['data']['auditCommentUuid'] @unittest.skip('获取接口参数错误') def test_019_api_78dk_platform_tm_first_delAuditComment(self): """ 删除一条评论 :return: """ res = WebAction.test_api_78dk_platform_tm_first_delAuditComment(delAuditCommentUuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('获取接口参数错误') def test_020_api_78dk_platform_tm_first_findAuditCommentList(self): """ 查询评论列表 :return: """ res = WebAction.test_api_78dk_platform_tm_first_findAuditCommentList() # pagesize=10, pagecurrent=1, contractuuid=contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') # def test_021_api_78dk_platform_tm_first_updateContractInfoSignState(self): # """ # 修改法大大合同签署状态修改为重签 # :return: # """ # res = WebAction.test_api_78dk_platform_tm_first_findContractInfoSignStateWeb(contract_uuid) # Assertion.verity(json.loads(res)['msg'], '成功') # Assertion.verity(json.loads(res)['code'], '10000') def test_022_api_78dk_platform_tm_after_viewAuditMonitors(self): # 贷后列表 res = WebAction.test_api_78dk_platform_tm_after_viewAuditMonitors( enddate='', pagecurrent=1, pagesize=10, qifascore='', searchwhere='', startdate='') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('每次都会发送短信') def test_023_api_78dk_platform_tm_telephone_telephoneCheck_fail(self): """ 电核不通过 :return: """ xqkj_query.update_contract_machine_telephone_check(contract_uuid) res = WebAction.test_api_78dk_platform_tm_telephone_telephoneCheck( uuid=contract_uuid, message='电核不通过', checkstate='fail') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('需要再次调试') def test_024_api_78dk_platform_tm_telephone_viewTelephoneCheckContract_fail(self): """ 电核信息查询电核不通过 :return: """ res = WebAction.test_api_78dk_platform_tm_telephone_viewTelephoneCheckContract(contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') Assertion.verityContain(json.loads(res)['data'], 'baiduLogUuid') def test_025_api_78dk_platform_tm_telephone_viewTelephoneCheckContracts_fail(self): """ 电核列表查询电核不通过 :return: """ res = WebAction.test_api_78dk_platform_tm_telephone_viewTelephoneCheckContracts( pagesize=10, state='all', name='', pagecurrent=1, begindate='', contractnumber='', enddate='', lable='', phone='', username='') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('每次都会发送短信') def test_026_api_78dk_platform_tm_telephone_telephoneCheck_cancel(self): """ 电核取消 :return: """ xqkj_query.update_contract_machine_telephone_check(contract_uuid) res = WebAction.test_api_78dk_platform_tm_telephone_telephoneCheck( uuid=contract_uuid, message='电核取消', checkstate='cancel') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('需要再次调试') def test_027_api_78dk_platform_tm_telephone_viewTelephoneCheckContract_cancel(self): """ 电核信息查询电核取消 :return: """ res = WebAction.test_api_78dk_platform_tm_telephone_viewTelephoneCheckContract(contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') Assertion.verityContain(json.loads(res)['data'], 'baiduLogUuid') def test_028_api_78dk_platform_tm_telephone_viewTelephoneCheckContracts_cancel(self): """ 电核列表查询电核取消 :return: """ res = WebAction.test_api_78dk_platform_tm_telephone_viewTelephoneCheckContracts( pagesize=10, state='all', name='', pagecurrent=1, begindate='', contractnumber='', enddate='', lable='', phone='', username='') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.expectedFailure def test_029_api_78dk_platform_tm_telephone_telephoneCheck_fail_pass(self): """ 电核通过 :return: """ xqkj_query.update_contract_machine_telephone_check(contract_uuid) res = WebAction.test_api_78dk_platform_tm_telephone_telephoneCheck( uuid=contract_uuid, message='电核通过', checkstate='pass') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('需要再次调试') def test_030_api_78dk_platform_tm_telephone_viewTelephoneCheckContract(self): """ 电核信息查询电核通过 :return: """ res = WebAction.test_api_78dk_platform_tm_telephone_viewTelephoneCheckContract(contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') Assertion.verityContain(json.loads(res)['data'], 'baiduLogUuid') def test_031_api_78dk_platform_tm_telephone_viewTelephoneCheckContracts(self): """ 电核列表查询电核通过 :return: """ res = WebAction.test_api_78dk_platform_tm_telephone_viewTelephoneCheckContracts( pagesize=10, state='all', name='', pagecurrent=1, begindate='', contractnumber='', enddate='', lable='', phone='', username='') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_032_api_78dk_platform_tm_telephone_viewTelephoneCheckInfosByContractUuid(self): """ 查询合同已经填写的电核问题列表 :return: """ res = WebAction.test_api_78dk_platform_tm_telephone_viewTelephoneCheckInfosByContractUuid(contract_uuid) # Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '20000') def test_033_api_78dk_platform_tm_telephone_addTelephoneCheckInfos(self): """ 批量添加电核资料(3) :return: """ WebAction.test_api_78dk_platform_tm_telephone_addTelephoneCheckInfos( answer='答案', contractuuid=contract_uuid, groupname='', question='', risktype='', state='', telephonecheckfeedbackuuid='', groupsort='', questionsort='') # Assertion.verity(json.loads(res)['msg'], '成功') # Assertion.verity(json.loads(res)['code'], '10000') def test_034_api_78dk_platform_tm_telephone_deleteTelephoneCheckInfo(self): """ 删除电核资料(3) :return: """ res = WebAction.test_api_78dk_platform_tm_telephone_deleteTelephoneCheckInfo(uid=contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.expectedFailure def test_035_api_78dk_platform_tm_final_viewFDDInfo(self): """ 法大大信息查询 :return: """ res = WebAction.test_api_78dk_platform_tm_final_viewFDDInfo(contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.expectedFailure def test_036_api_78dk_platform_tm_final_finalCheck_cancel(self): """ 终审终审取消 :return: """ xqkj_query.update_contract_machine_final_check(contract_uuid) res = WebAction.test_api_78dk_platform_tm_final_finalCheck( checkstate='终审取消', uuid=contract_uuid, preamount='', finalchecksuggest=10000) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.expectedFailure def test_037_api_78dk_platform_tm_final_viewFinalCheckContract_cancel(self): """ 终审信息查询终审取消 :return: """ res = WebAction.test_api_78dk_platform_tm_final_viewFinalCheckContract(contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_038_api_78dk_platform_tm_final_viewFinalCheckContracts_cancel(self): """ 终审列表查询终审取消 :return: """ res = WebAction.test_api_78dk_platform_tm_final_viewFinalCheckContracts( pagecurrent=1, state='all', pagesize=1, name='', begindate='', contractnumber='', enddate='', lable='', phone='', username='') Assertion.verity(json.loads(res)['code'], '10000') Assertion.verity(json.loads(res)['msg'], '成功') @unittest.expectedFailure def test_039_api_78dk_platform_tm_final_finalCheck_fail(self): """ 终审终审失败 :return: """ xqkj_query.update_contract_machine_final_check(contract_uuid) res = WebAction.test_api_78dk_platform_tm_final_finalCheck( checkstate='终审失败', uuid=contract_uuid, preamount='', finalchecksuggest=10000) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.expectedFailure def test_040_api_78dk_platform_tm_final_viewFinalCheckContract_fail(self): """ 终审信息查询终审失败 :return: """ res = WebAction.test_api_78dk_platform_tm_final_viewFinalCheckContract(contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_041_api_78dk_platform_tm_final_viewFinalCheckContracts_fail(self): """ 终审列表查询终审失败 :return: """ res = WebAction.test_api_78dk_platform_tm_final_viewFinalCheckContracts( pagecurrent=1, state='all', pagesize=1, name='', begindate='', contractnumber='', enddate='', lable='', phone='', username='') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('需要再次调试, meijia') def test_042_api_78dk_platform_tm_final_finalCheck_pass(self): """ 终审终审通过 :return: """ xqkj_query.update_contract_machine_final_check(contract_uuid) res = WebAction.test_api_78dk_platform_tm_final_finalCheck( checkstate='"pass"', uuid=contract_uuid, preamount='', finalchecksuggest=10000) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('需要再次调试') def test_043_api_78dk_platform_tm_final_viewFinalCheckContract_pass(self): """ 终审信息查询终审通过 :return: """ res = WebAction.test_api_78dk_platform_tm_final_viewFinalCheckContract(contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_044_api_78dk_platform_tm_final_viewFinalCheckContracts_pass(self): """ 终审列表查询终审通过 :return: """ res = WebAction.test_api_78dk_platform_tm_final_viewFinalCheckContracts( pagecurrent=1, state='all', pagesize=1, name='', begindate='', contractnumber='', enddate='', lable='', phone='', username='') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_045_api_78dk_platform_tm_after_viewReportContract(self): """ 查询报告内容 :return: """ res = WebAction.test_api_78dk_platform_tm_after_viewReportContract(contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_046_api_78dk_platform_tm_after_viewContractTongDuns(self): """ 查询贷后所用同盾报告列表 :return: """ res = WebAction.test_api_78dk_platform_tm_after_viewContractTongDuns(contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_047_api_78dk_platform_tm_after_viewAuditMonitors(self): """ 贷后列表 :return: """ res = WebAction.test_api_78dk_platform_tm_after_viewAuditMonitors( searchwhere='', startdate='', qifascore='', pagecurrent=1, pagesize=10, enddate='') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_048_api_78dk_bm_viewUserBill(self): """ 个人账单 :return: """ res = WebAction.test_api_78dk_bm_viewUserBill(contractuuid=contract_uuid, pagecurrent=1, pagesize=10) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_049_api_78dk_bm_viewBillList_all(self): """ 账单列表 :return: """ res = WebAction.test_api_78dk_bm_viewBillList(state='', pagecurrent=1, pagesize=10, merchantname='', contractnumber='', usermobile='', username='') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_050_api_78dk_bm_viewBillList_active(self): """ 账单列表 :return: """ res = WebAction.test_api_78dk_bm_viewBillList( state='123', pagecurrent=1, pagesize=10, merchantname='', contractnumber='', usermobile='', username='') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('需要再次调试') def test_051_api_78dk_platform_lm_viewContract(self): """ 合同信息 :return: """ res = WebAction.test_api_78dk_platform_lm_viewContract(contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('需要再次调试') def test_052_api_78dk_platform_lm_downPayMoneys(self): # 导出打款信息 res = WebAction.test_api_78dk_platform_lm_downPayMoneys( enddate='', begindate='', contractnumber='', loanstate='', merchantname='', phone='', username='') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('需要再次调试') def test_053_api_78dk_platform_lm_downLoans(self): # 导出放款列表 res = WebAction.test_api_78dk_platform_lm_downLoans( enddate='', begindate='', contractnumber='', loanstate='', merchantname='', phone='', username='') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_054_api_78dk_platform_lm_offLineLoan(self): # 放款 res = WebAction.test_api_78dk_platform_lm_offLineLoan( bankseqid='', contractuuid=contract_uuid, loanamount='', remarks='', url='', urlname='') Assertion.verity(json.loads(res)['code'], '20000') def test_055_api_78dk_platform_lm_viewLoans(self): """ 放款列表 :return: """ res = WebAction.test_api_78dk_platform_lm_viewLoans( begindate='', contractnumber='', enddate='', loanstate='', merchantname='', pagecurrent=1, pagesize=10, phone='', username='') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.expectedFailure def test_056_api_78dk_platform_lm_viewLoanDetil(self): """ 查看放款详情 :return: """ res = WebAction.test_api_78dk_platform_lm_viewLoanDetil(contract_uuid) # Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '20000') def test_057_api_78dk_platform_lm_viewUserBill_all(self): """ 账单信息 :return: """ res = WebAction.test_api_78dk_platform_lm_viewUserBill( begindate='', enddate='', name='', orderstate='', pagecurrent=1, pagesize=10, state='all', uuid=contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_058_api_78dk_platform_lm_viewUserBill_pass(self): """ 账单信息 :return: """ res = WebAction.test_api_78dk_platform_lm_viewUserBill( begindate='', enddate='', name='', orderstate='', pagecurrent=1, pagesize=10, state='pass', uuid=contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_059_api_78dk_platform_lm_viewUserBill_fail(self): """ 账单信息 :return: """ res = WebAction.test_api_78dk_platform_lm_viewUserBill( begindate='', enddate='', name='', orderstate='', pagecurrent=1, pagesize=10, state='fail', uuid=contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('需要再次调试') def test_60_api_78dk_platform_tm_first_viewFirstCheckContract(self): """ Time :2019-07-22 author : 闫红 desc : 初审信息查询(新) """ res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContract(uid=contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_061_api_78dk_platform_tm_first_viewFirstCheckContract_not_exist(self): """ Time :2019-07-22 author : 闫红 desc : 初审信息查询(新),查询不存在的合同初审信息 """ res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContract(uid='-1') Assertion.verityContain(json.loads(res)['msg'], '查询合同基本信息时出错!') Assertion.verity(json.loads(res)['code'], '20000') def test_062_api_78dk_platform_tm_first_viewFirstCheckContract_overlong(self): """ Time :2019-07-22 author : 闫红 desc : 初审信息查询(新),合同id超长 """ contract_uuid1 = MD.words_en_lower(24) res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContract(uid=contract_uuid1) Assertion.verityContain(json.loads(res)['msg'], '查询合同基本信息时出错!') Assertion.verity(json.loads(res)['code'], '20000') def test_063_api_78dk_platform_tm_first_viewFirstCheckContract_id_is_null(self): """ Time :2019-07-22 author : 闫红 desc : 初审信息查询(新),合同id为空 """ res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContract(uid='') Assertion.verityContain(json.loads(res)['msg'], 'ContractUuid不能为空!') Assertion.verity(json.loads(res)['code'], '20000') def test_064_api_78dk_platform_tm_first_viewFirstCheckContract_id_is_None(self): """ Time :2019-07-22 author : 闫红 desc : 初审信息查询(新),合同id为None """ res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContract(uid=None) Assertion.verityContain(json.loads(res)['msg'], '系统发生内部异常') Assertion.verity(json.loads(res)['code'], '20000') def test_065_api_78dk_platform_tm_first_viewFirstCheckContracts_pass(self): """ Time :2019-07-22 author : 闫红 desc : 初审列表查询v1.3.0,查询成功 """ res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContracts( pagesize=10, state='pass', pagecurrent=1, name='', begindate='', contractnumber='', enddate='', lable='', phone='', username='', firstcheckname='') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_066_api_78dk_platform_tm_first_viewFirstCheckContracts_fail(self): """ Time :2019-07-22 author : 闫红 desc : 初审列表查询v1.3.0,查询失败的列表 """ res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContracts( pagesize=10, state='fail', pagecurrent=1, name='', begindate='', contractnumber='', enddate='', lable='', phone='', username='', firstcheckname='') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') def test_067_api_78dk_platform_tm_first_viewFirstCheckContracts_contractnumber_not_exist(self): """ Time :2019-07-22 author : 闫红 desc : 初审列表查询v1.3.0,合同编号不存在 """ res = WebAction.test_api_78dk_platform_tm_first_viewFirstCheckContracts( pagesize=10, state='all', pagecurrent=1, name='', begindate='', contractnumber=-1, enddate='', lable='', phone='', username='', firstcheckname='') Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('无结算') def test_068_api_78dk_platform_tm_first_businessbillinginformation(self): """ Time :2019-07-22 author : 闫红 desc : 商户结算信息查询接口 - V1.3 新增 """ res = WebAction.test_api_78dk_platform_tm_first_businessbillinginformation(contractuuid=contract_uuid) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('无结算') def test_069_api_78dk_platform_tm_first_businessbillinginformation_not_exist(self): """ Time :2019-07-22 author : 闫红 desc : 商户结算信息查询接口 - V1.3 新增,contractuuid不存在 """ res = WebAction.test_api_78dk_platform_tm_first_businessbillinginformation(contractuuid=-1) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('无结算') def test_070_api_78dk_platform_tm_first_businessbillinginformation_overlong(self): """ Time :2019-07-22 author : 闫红 desc : 商户结算信息查询接口 - V1.3 新增,contractuuid超长 """ res = WebAction.test_api_78dk_platform_tm_first_businessbillinginformation(contractuuid=MD.number(256)) Assertion.verity(json.loads(res)['msg'], '成功') Assertion.verity(json.loads(res)['code'], '10000') @unittest.skip('无结算') def test_071_api_78dk_platform_tm_first_businessbillinginformation_contractuuid_is_null(self): """ Time :2019-07-22 author : 闫红 desc : 商户结算信息查询接口 - V1.3 新增,contractuuid为空 """ res = WebAction.test_api_78dk_platform_tm_first_businessbillinginformation(contractuuid='') Assertion.verityContain(json.loads(res)['msg'], '参数异常') Assertion.verity(json.loads(res)['code'], '20000') def test_072_api_78dk_platform_tm_contractDetail(self): """ author : 罗林 desc : 订单详情--美佳v1.0.4重构接口 """ res = WebAction.test_api_78dk_platform_tm_contractDetail(contractuuid='', process='') Assertion.verity(json.loads(res)['code'], '20000') # @unittest.expectedFailure # def test_073_api_78dk_platform_tm_contractDocument(self): # """ # author : 罗林 # desc : 合同信息--美佳v1.0.4重构接口 # """ # res = WebAction.test_api_78dk_platform_tm_contractDocument(contractuuid='') # Assertion.verity(json.loads(res)['code'], '20000') def test_074_api_78dk_platform_tm_auditReject(self): """ author : 罗林 desc : 审核驳回--美佳v1.0.4新增 """ res = WebAction.test_api_78dk_platform_tm_auditReject(auditprocess='', contractuuid='', rejectmodel='') Assertion.verity(json.loads(res)['code'], 'S0001') Assertion.verity(json.loads(res)['msg'], '订单id不能为空') def test_075_api_78dk_platform_tm_final_viewFinalCheckContract(self): """ author : 罗林 desc : 终审信息查询（美佳1.0.0新增一个字段）v1.0.4 """ res = WebAction.test_api_78dk_platform_tm_final_viewFinalCheckContract(uid='') Assertion.verity(json.loads(res)['code'], '20000') Assertion.verity(json.loads(res)['msg'], 'ContractUuid不能为空!')

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romy@romypro.local

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"""Tuple. Change""" NUMBERS = ([1], 2, 4, 6, 8) NUMBERS[0][0] = 0 print(NUMBERS) # ([0], 2, 4, 6, 8) NUMBERS[0] = 1 # TypeError: 'tuple' object does not support item assignment NUMBERS[1:4] = (3, 5, 7) # TypeError: 'tuple' object does not support item assignment del NUMBERS[0] # TypeError: 'tuple' object doesn't support item deletion

[ "XvIs17Xr" ]

XvIs17Xr

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982fb1c58f2a863f6d03e985fd33575f936bcf9b

/tp2/bin/recalIconique.py

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py

# 4. Recalage iconique 2D simple import os import numpy as np import matplotlib.pyplot as plt from scipy.interpolate import griddata from scipy import ndimage import math import cv2 as cv path = "../data" img = "BrainMRI_1.jpg" img_test = "BrainMRI_2.jpg" img_2d = plt.imread(os.path.join(path, img)) img_test = plt.imread(os.path.join(path, img_test)) def median_filter(img_2d, sigma): return ndimage.median_filter(img_2d, size=sigma) def ssd(img1, img2): ssd_totale = 0 for i in range(img1.shape[0]): for j in range(img1.shape[1]): ssd_totale += (int(img1[i, j]) - int(img2[i, j]))**2 return ssd_totale def des_gradient(img1, p, q, epsi): sobelx = cv.Sobel(img1,cv.CV_64F,1,0,ksize=5) sobely = cv.Sobel(img1,cv.CV_64F,0,1,ksize=5) d_ssd_p = 2*np.sum((img1 - img2)*sobelx) d_ssd_q = 2*np.sum((img1 - img2)*sobely) new_p = p - epsi*d_ssd_p new_q = q - epsi*d_ssd_q return new_p, new_q def translation(I, p, q): nx, ny = I.shape[1], I.shape[0] X, Y = np.meshgrid(np.arange(0, nx, 1), np.arange(0, ny, 1)) ix = np.random.randint(nx, size=100000) iy = np.random.randint(ny, size=100000) samples = I[iy,ix] new_I = griddata((iy+p, ix+q), samples, (Y, X), method='cubic') return new_I def rotation(I, theta): nx, ny = I.shape[1], I.shape[0] new_I = np.zeros((nx*2, ny*2), dtype=np.uint8) # plt.imshow(new_I) matrix = [ [math.cos(theta), -math.sin(theta), 0], [math.sin(theta), math.cos(theta), 0], [0, 0, 1]] for i in range(nx): for j in range(ny): v = [i,j,1] v_t = np.dot(matrix, v) try: new_I[int(v_t[0]+nx), int(v_t[1]+ny)] = I[i, j] except: print("Pas possible pour le point : ",v_t[0], v_t[1]) X, Y = np.meshgrid(np.arange(0, nx, 1), np.arange(0, ny, 1)) ix = np.random.randint(nx*2, size=1000000) iy = np.random.randint(ny*2, size=1000000) samples = new_I[iy,ix] new_I = griddata((iy-ny, ix-nx), samples, (Y, X), method='linear') return new_I def recalage(img1, img2, type, median, p, q, theta): evol_ssd = [] iter = 0 pre_ssd = math.inf post_ssd = ssd(img1, img2) evol_ssd.append(post_ssd) p, q = des_gradient(img1, 0, 0, 0.00000001) while(pre_ssd > post_ssd): if type == "translation": img1 = translation(img1, p, q) elif type == "rotation": img1 = rotation(img1, theta) for i in range(img1.shape[0]): for j in range(img1.shape[1]): if math.isnan(img1[i, j]): img1[i, j] = median pre_ssd = post_ssd post_ssd = ssd(img1, img2) iter += 1 evol_ssd.append(post_ssd) print("Nombre d'iterations :", iter) return img1, evol_ssd # Debruitage des images sigma = 4 debruit_img1 = median_filter(img_2d, sigma) debruit_img2 = median_filter(img_test, sigma) # Recuperation de la mediane de l image median = np.median(debruit_img1) #new_I = translation(debruit_img1, 10, 0) #new_I = rotation(debruit_img1, 1) #print("SSD :", ssd(img_test, img_2d)) new_I, evol_ssd = recalage(debruit_img1, debruit_img2, "translation", median, 1, 0, -0.05) print("SSD's :", evol_ssd) x = evol_ssd y = range(len(evol_ssd)) fig, ax = plt.subplots(nrows=2, ncols=2) ax[0,0].imshow(debruit_img1) ax[0,1].imshow(debruit_img2) ax[1,0].imshow(new_I) ax[1,1].plot(y, x) plt.show()

[ "jbrosseau85@gmail.com" ]

jbrosseau85@gmail.com

6de389d4a4b7ed35874ca32bc12719d939b4c030

ca001bb8c7be65f7b03e66bfba0f3c642071996f

/python_practice/iter.py

e8d4cdc2bf0e4c8bc08ced20b52ee3a68479f2ff

[]

no_license

umeshP2412/pythonPrograms

a4186f71f2ec691ccf60ef3ad24dd30b20b45118

88aa62a29b7fbab7c93c1dbb35510b333df58dff

refs/heads/master

2023-07-24T16:24:35.326667

2021-09-01T18:11:10

351,471,635

0

1

null

UTF-8

Python

false

184

py

mylist = ["watch","cloth","ring"] mytuple = ("apple", "banana", "cherry") mystr = "banana" mylistIter=iter(mylist) print(next(mylistIter),"and",next(mylistIter),"and",next(mylistIter))

[ "umeshpatil5124@gmail.com" ]

umeshpatil5124@gmail.com

8c9ee804147ca9329fb3964e0b78ce0baae5b809

26d749b1fd69a1d7c6759fab5afa7f7c8f09fa06

/Test_suit/run_all_case.py

3920214cc54a74cabcb0ddf069ae5dcea3c2d9dd

[]

no_license

yingjie700/yundaitong-public

2024ff045d869a9fd187e17e18601fe360d14ba0

769cb0ac236c39be3dbc649e4f35c3e4bb30dfc8

refs/heads/master

2020-05-02T18:14:29.441376

2019-03-28T04:03:25

178,123,381

0

null

UTF-8

Python

false

1,432

py

import unittest import time,os,sys,logging from HTMLTestRunner import HTMLTestRunner sys.path.append(os.path.dirname(os.path.abspath(__file__)) + r'D:\yundaitong\log') # 返回脚本的路径 logging.basicConfig(level=logging.DEBUG, format='%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s', datefmt='%a, %d %b %Y %H:%M:%S', filename='log_test.log', filemode='w') logger = logging.getLogger() # 待执行用例的目录 def allcase(): case_dir = r"D:\yundaitong\Test_suit" #case_path=os.path.join(os.getcwd(),"case") testcase = unittest.TestSuite() discover = unittest.defaultTestLoader.discover(case_dir, pattern='test_get_wlhk_adress_api.py', top_level_dir=None) # discover方法筛选出来的用例，循环添加到测试套件中 # print(discover) for test_suite in discover: for test_case in test_suite: # 添加用例到testcase print(test_case) testcase.addTest(test_case) return testcase if __name__ == "__main__": runner = unittest.TextTestRunner() filename='result.html' fp=open(filename,'wb') runner = HTMLTestRunner(stream=fp, title='测试报告', description='测试报告：') runner.run(allcase()) fp.close()

[ "476570058@qq.com" ]

476570058@qq.com

cc791b38d5002fd8d55750b03285bc72ef285284

f297a9155ef9543281ef2bad8a4036b6579e7ce5

/barrier_handler/barrier_activator/cfg/BarrierActivator.cfg

d411327f2ae8c0fb9c8b6d66bf8144d37d3037b4

[]

no_license

cem-adastec/barrier_handler

07beb29db1da5ea2f92a33dabcadcd3791db10e4

0c0d9c6f8886f89785f4049aff5df41a38475561

refs/heads/main

2023-07-13T06:44:09.950402

2021-08-18T11:51:45

397,581,490

0

null

UTF-8

Python

false

394

cfg

#!/usr/bin/env python PACKAGE='barrier_activator' from dynamic_reconfigure.parameter_generator_catkin import * gen = ParameterGenerator() # Name Type Reconfiguration level # Description # Default Min Max gen.add("active_barrier_id", int_t, 0, "Active Barrier ID", 1, 1, 5) exit(gen.generate(PACKAGE, "barrier_activator", "BarrierActivator"))

[ "noreply@github.com" ]

cem-adastec.noreply@github.com

4f5dd2c12c66941b02d8344fadde1d9c6d50c089

fe2396b37af33c95ebedeaf0cc7e6c6e41dd2ef4

/old/beachgraveyard.py

4388dc656eb957cdf795820a2aa0de8b3869a7e8

[]

no_license

alexdevmotion/eeg-image-classifier

cff27f608ac9f427bd2c2748e1bed5582e360d0d

7bda8f077c12193f0de136aa289dfe4855aade46

refs/heads/master

2021-01-21T21:14:34.056750

2017-06-27T16:23:32

92,319,935

0

null

UTF-8

Python

false

3,029

py

from classes.input import Input from classes.plot import Plot from classes.preprocess import Preprocess from classes.featureselect import FeatureSelect from classes.helpers import Helpers from classes.classify import Classify from classes.precision import Precision import classes.constants as constants @constants.timeit def main(): ignore_cols = [constants.COLUMN_TIMESTAMP, constants.COLUMN_SENSOR_1, constants.COLUMN_SENSOR_2, constants.COLUMN_SENSOR_11, constants.COLUMN_SENSOR_16] input = Input('input/__Alexandru Constantin_5s_10_graveyardbeach_27052017_224455.csv', ignore_cols=ignore_cols) input.read_csv() input.make_column_uniform() input.replace_column_with_thresholds() # @constants.timeit def preprocess(data): preprocess = Preprocess(data) preprocess.remove_dc_offset() preprocess.resample(100) preprocess.detrend() # preprocess.notch_filter(50) preprocess.bandpass_filter(1, 50) # preprocess.discard_datapoints_below_or_over() # preprocess.discard_datapoints_by_ratio_to_median() # preprocess.fft() preprocess.min_max_scale() return preprocess.data preprocessed_data = preprocess(input.data) Plot.plot_without_threshold(preprocessed_data) [data_train, data_test] = Helpers.split_by_column_into_train_test(preprocessed_data) featureselect_train = FeatureSelect(data_train) featureselect_train.pca() featureselect_test = FeatureSelect(data_test) featureselect_test.pca() labels_train = Helpers.extract_labels_from_dataframe(data_train) labels_test = Helpers.extract_labels_from_dataframe(data_test) # @constants.timeit def classify_and_compute_precision(C=1.0, gamma='auto'): classify = Classify(featureselect_train.components, labels_train, mode='randomforest') classify.classify(C, gamma) params_string = '[C=' + str(C) + '][gamma=' + str(gamma) + ']' predicted_labels_test = classify.predict(featureselect_test.components) Plot.plot_lists([ {'data': labels_test, 'label': 'Expected' + params_string}, {'data': predicted_labels_test, 'label': 'Predicted' + params_string} ]) precision_obj = Precision(real_labels=labels_test, predicted_labels=predicted_labels_test) raw_precision = precision_obj.compute_raw_precision() cat_precision = precision_obj.compute_per_category_median_precision() print 'raw_precision = ', raw_precision print 'cat_precision = ', cat_precision return cat_precision # classify_and_compute_precision() max_precision = 0 for c_pow in xrange(7, 15, 2): for gamma_pow in xrange(-8, -4, 2): C = 10 ** c_pow gamma = 10 ** gamma_pow precision = classify_and_compute_precision(C, gamma) if precision > max_precision: max_precision = precision print 'max(precision) = ', max_precision main()

[ "alex@devmotion.ro" ]

alex@devmotion.ro

6c5b4cdef5372987f7f7323c93ebe45d78110e86

1d66834897a409b96a53d7511142b39dc6f97f65

/flask_app/venv/bin/pip3.5

98e025682cc0ece9606620a1fadb50da888b9d55

[]

no_license

djshouse/wreck

03786565b9e2cf304004773dfbaf5fe0e1ecf822

34b43adf7866110492a652fefba7d749858c8479

refs/heads/master

2021-01-18T20:10:30.127139

2016-10-24T03:50:03

64,279,019

0

null

UTF-8

Python

false

253

5

#!/Users/djrose/Documents/Learning/wreck/flask_app/venv/bin/python # -*- coding: utf-8 -*- import re import sys from pip import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())

[ "djrose7@gmail.com" ]

djrose7@gmail.com

a950e1fea6e22a293fa8d134164513e4fd5e63df

4ce94e6fdfb55a889a0e7c4788fa95d2649f7bca

/User/apps/logreg/views.py

26ada8889c8fa75821a4cceb627c5948d6d94bde

[]

no_license

HaochengYang/Django-class-assignment

4018d8eb0619a99ebe8c3e47346d29934aafc66b

cb8f920f432209f88c810407ca646ee7dec82e22

refs/heads/master

2021-06-08T20:05:22.876794

2016-12-19T23:39:22

75,032,572

0

null

UTF-8

Python

false

1,430

py

from django.shortcuts import render, redirect from .models import User from django.contrib import messages # Create your views here. def index(request): return render(request, 'logreg/index.html') def register(request): response = User.objects.add_user(request.POST) if response['status']: # successful add a new user in here request.session['user_id'] = response['new_user'].id request.session['user_first_name'] = response['new_user'].first_name request.session['user_last_name'] = response['new_user'].last_name return redirect('logreg:main') else: for error in response['errors']: messages.error(request, error) return redirect('logreg:index') def login(request): response = User.objects.check_user(request.POST) if response['status']: # successful login user in here request.session['user_id'] = response['login_user'].id request.session['user_first_name'] = response['login_user'].first_name request.session['user_last_name'] = response['login_user'].last_name return redirect('logreg:main') else: #falid to validate for error in response['errors']: messages.error(request, error) return redirect('logreg:index') def main(request): return render(request, 'logreg/success.html') def logout(request): request.session.clear() return redirect('logreg:index')

[ "haocheng0906@gmail.com" ]

haocheng0906@gmail.com

8a7bc189c27f77d9317613f60f7e3bc016ff5c8e

2ed0ab730b62665b3a36841ab006eea961116f87

/Hash/ValidSoduko.py

ef9721fb40020f4c7aa19f5c56366347684f6f3b

[]

no_license

scarlettlite/hackathon

0f0a345d867b9e52823f10fe67c6ec210a40945f

179ba9038bbed4d48cb2f044fd8430cf2be2bab3

refs/heads/master

2021-07-04T00:55:17.665292

2019-03-04T09:10:59

141,269,070

0

null

UTF-8

Python

false

1,494

py

from collections import defaultdict class Solution: def __init__(self): arr = [(0,2), (3,5), (6,8)] self.sq = [(a,b,c,d) for a,b in arr for c,d in arr] def getsqr(self, ir, ic): for a,b,c,d in self.sq: if a <= ir <= b and c <= ic <= d: return a,b,c,d def isValidSudoku(self, board): """ :type board: List[List[str]] :rtype: bool """ rows = defaultdict(set) cols = defaultdict(set) sqrs = defaultdict(set) for i, row in enumerate(board): for j, x in enumerate(row): if x == '.': continue if x not in rows[i]: rows[i].add(x) else: return False if x not in cols[j]: cols[j].add(x) else: return False t = self.getsqr(i, j) if x not in sqrs[t]: sqrs[t].add(x) else: return False return True print(Solution().isValidSudoku([ ["8","3",".",".","7",".",".",".","."], ["6",".",".","1","9","5",".",".","."], [".","9","8",".",".",".",".","6","."], ["8",".",".",".","6",".",".",".","3"], ["4",".",".","8",".","3",".",".","1"], ["7",".",".",".","2",".",".",".","6"], [".","6",".",".",".",".","2","8","."], [".",".",".","4","1","9",".",".","5"], [".",".",".",".","8",".",".","7","9"] ]))

[ "shivanirathore496@gmail.com" ]

shivanirathore496@gmail.com

b1b76094d69e8a78eef3e4dd42dd90b2735d5789

158afa6037ade956ca9210114bd80a570c8dd03b

/week-01/hello_world.py

37f3412846364998ce1271ca281ec5f1a6481ce1

[]

no_license

kbooth1000/python-exercises

731235312f3785e028f5c9ebed9acb62d54abdb0

89fc1ba4debff966653900977197483a2f06452f

refs/heads/master

2021-05-04T21:12:04.608604

2018-11-15T14:25:40

119,889,478

0

null

UTF-8

Python

false

182

py

first_name = raw_input('What is your first name? ') last_name = raw_input('%s! What is your last name? ' % first_name) full_name = '%s %s' % (first_name, last_name) print full_name

[ "kboot@MacBook-Air-2.local" ]

kboot@MacBook-Air-2.local

34755bf77c28357c599efa49efa5953cb719c38d

a89b81ebd8ea9253fb1ece62d72fd91653bd8757

/venv/bin/pip2.7

8d13fa746ab1e92bc6a2b9faca4d6f9ae00a69b7

[]

no_license

AnabellJimenez/Story

e4a5619a5eecc44b8e6c5aa9b75a0606fb4f6ff5

f16784d623e9c39fcaac155890919011f642c9c7

refs/heads/master

2016-09-01T13:24:53.759916

2015-05-27T00:16:35

36,262,501

0

null

UTF-8

Python

false

260

7

#!/Users/anabell/Desktop/GoCode/gc-staging/GC_Story/story/venv/bin/python # -*- coding: utf-8 -*- import re import sys from pip import main if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(main())

[ "gonzalez.anabell@gmail.com" ]

gonzalez.anabell@gmail.com

ea446d44c963540dfd8c0e3f76f303870f739331

8606a79d2245f77e1f376ad5f91ba3b01b1d6efa

/project/migrations/0013_merge_20200402_2043.py

14b5fb1a722e71fe6bd02cee172e33823b4fafdb

[ "MIT" ]

permissive

eslamkarim/fundraiser

2e9953c10f4c969a7cdf054603db04698f656d3c

5eb9bf8b056af7532988ad8f0fab4dc44349fafc

refs/heads/master

2021-03-24T14:43:02.797908

2020-08-25T10:58:26

247,539,286

2

3

null

2020-04-04T22:00:29

2020-03-15T19:44:41

HTML

UTF-8

Python

false

272

py

# Generated by Django 3.0.4 on 2020-04-02 18:43 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('project', '0012_report_comment'), ('project', '0009_project_data_featured'), ] operations = [ ]

[ "abdohalem91@gmail.com" ]

abdohalem91@gmail.com

e0e387d7bd36406e40401f4114beb3ad6baa20cf

d595ff74173c142b99fd431aba64e3a9da51ba46

/examples/custom_model_transfer_learning_training.py

98e615fe293d75fe37bb121306145b15636e00b1

[]

no_license

sskl660/Detecting-smoking-outside-the-smoking-area-using-object-detection

e8767cb383a56c588ecae50f7fcd8419ae299563

71acc5ee9ff8ae6e845670bf090ebb88fecf3d7c

refs/heads/master

2022-12-24T02:23:16.122179

2020-09-09T11:43:11

293,269,568

2

0

null

UTF-8

Python

false

466

py

from imageai.Prediction.Custom import ModelTraining import os trainer = ModelTraining() trainer.setModelTypeAsResNet() trainer.setDataDirectory("idenprof") trainer.trainModel(num_objects=3, num_experiments=50, enhance_data=True, batch_size=32, show_network_summary=True,transfer_from_model="resnet50_weights_tf_dim_ordering_tf_kernels.h5", initial_num_objects=1000) # Download the model via this link https://github.com/OlafenwaMoses/ImageAI/releases/tag/models-v3

[ "sskl6600@gmail.com" ]

sskl6600@gmail.com

936c1aece025deb082f55f02084f0eecaceb8ddc

cfb75ac733b8a929e6d7cec06ea5e2ec184cd773

/excercise_3-10.py

8fa5085c310405aa2df2cc2000d3a8504ed880a9

[]

no_license

Defcon88/python-learning

e50638e0acbf8428368d8b9a5d2a6fbfc8d7a216

1896e626cb7e230ea6022a665d1e84c1e1afcce4

refs/heads/master

2021-05-09T05:28:18.168205

2018-01-29T00:43:45

119,312,358

0

null

UTF-8

Python

false

12,359

py

class AuthenticatedClient(PublicClient): - def __init__(self, key, b64secret, passphrase, api_url="https://api.gdax.com"): + def __init__(self, key, b64secret, passphrase, api_url="https://api.gdax.com", timeout=30): super(AuthenticatedClient, self).__init__(api_url) self.auth = GdaxAuth(key, b64secret, passphrase) + self.timeout = timeout def get_account(self, account_id): - r = requests.get(self.url + '/accounts/' + account_id, auth=self.auth, timeout=30) + r = requests.get(self.url + '/accounts/' + account_id, auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json() @@ -30,15 +31,15 @@ def get_accounts(self): def get_account_history(self, account_id): result = [] - r = requests.get(self.url + '/accounts/{}/ledger'.format(account_id), auth=self.auth, timeout=30) + r = requests.get(self.url + '/accounts/{}/ledger'.format(account_id), auth=self.auth, timeout=self.timeout) # r.raise_for_status() result.append(r.json()) if "cb-after" in r.headers: self.history_pagination(account_id, result, r.headers["cb-after"]) return result def history_pagination(self, account_id, result, after): - r = requests.get(self.url + '/accounts/{}/ledger?after={}'.format(account_id, str(after)), auth=self.auth, timeout=30) + r = requests.get(self.url + '/accounts/{}/ledger?after={}'.format(account_id, str(after)), auth=self.auth, timeout=self.timeout) # r.raise_for_status() if r.json(): result.append(r.json()) @@ -48,15 +49,15 @@ def history_pagination(self, account_id, result, after): def get_account_holds(self, account_id): result = [] - r = requests.get(self.url + '/accounts/{}/holds'.format(account_id), auth=self.auth, timeout=30) + r = requests.get(self.url + '/accounts/{}/holds'.format(account_id), auth=self.auth, timeout=self.timeout) # r.raise_for_status() result.append(r.json()) if "cb-after" in r.headers: self.holds_pagination(account_id, result, r.headers["cb-after"]) return result def holds_pagination(self, account_id, result, after): - r = requests.get(self.url + '/accounts/{}/holds?after={}'.format(account_id, str(after)), auth=self.auth, timeout=30) + r = requests.get(self.url + '/accounts/{}/holds?after={}'.format(account_id, str(after)), auth=self.auth, timeout=self.timeout) # r.raise_for_status() if r.json(): result.append(r.json()) @@ -71,32 +72,32 @@ def buy(self, **kwargs): r = requests.post(self.url + '/orders', data=json.dumps(kwargs), auth=self.auth, - timeout=30) + timeout=self.timeout) return r.json() def sell(self, **kwargs): kwargs["side"] = "sell" r = requests.post(self.url + '/orders', data=json.dumps(kwargs), auth=self.auth, - timeout=30) + timeout=self.timeout) return r.json() def cancel_order(self, order_id): - r = requests.delete(self.url + '/orders/' + order_id, auth=self.auth, timeout=30) + r = requests.delete(self.url + '/orders/' + order_id, auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json() def cancel_all(self, product_id=''): url = self.url + '/orders/' if product_id: url += "?product_id={}&".format(str(product_id)) - r = requests.delete(url, auth=self.auth, timeout=30) + r = requests.delete(url, auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json() def get_order(self, order_id): - r = requests.get(self.url + '/orders/' + order_id, auth=self.auth, timeout=30) + r = requests.get(self.url + '/orders/' + order_id, auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json() @@ -108,7 +109,7 @@ def get_orders(self, product_id='', status=[]): params["product_id"] = product_id if status: params["status"] = status - r = requests.get(url, auth=self.auth, params=params, timeout=30) + r = requests.get(url, auth=self.auth, params=params, timeout=self.timeout) # r.raise_for_status() result.append(r.json()) if 'cb-after' in r.headers: @@ -125,7 +126,7 @@ def paginate_orders(self, product_id, status, result, after): params["product_id"] = product_id if status: params["status"] = status - r = requests.get(url, auth=self.auth, params=params, timeout=30) + r = requests.get(url, auth=self.auth, params=params, timeout=self.timeout) # r.raise_for_status() if r.json(): result.append(r.json()) @@ -146,7 +147,7 @@ def get_fills(self, order_id='', product_id='', before='', after='', limit=''): url += "after={}&".format(str(after)) if limit: url += "limit={}&".format(str(limit)) - r = requests.get(url, auth=self.auth, timeout=30) + r = requests.get(url, auth=self.auth, timeout=self.timeout) # r.raise_for_status() result.append(r.json()) if 'cb-after' in r.headers and limit is not len(r.json()): @@ -159,7 +160,7 @@ def paginate_fills(self, result, after, order_id='', product_id=''): url += "order_id={}&".format(str(order_id)) if product_id: url += "product_id={}&".format(product_id) - r = requests.get(url, auth=self.auth, timeout=30) + r = requests.get(url, auth=self.auth, timeout=self.timeout) # r.raise_for_status() if r.json(): result.append(r.json()) @@ -175,7 +176,7 @@ def get_fundings(self, result='', status='', after=''): url += "status={}&".format(str(status)) if after: url += 'after={}&'.format(str(after)) - r = requests.get(url, auth=self.auth, timeout=30) + r = requests.get(url, auth=self.auth, timeout=self.timeout) # r.raise_for_status() result.append(r.json()) if 'cb-after' in r.headers: @@ -187,7 +188,7 @@ def repay_funding(self, amount='', currency=''): "amount": amount, "currency": currency # example: USD } - r = requests.post(self.url + "/funding/repay", data=json.dumps(payload), auth=self.auth, timeout=30) + r = requests.post(self.url + "/funding/repay", data=json.dumps(payload), auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json() @@ -198,20 +199,20 @@ def margin_transfer(self, margin_profile_id="", transfer_type="", currency="", a "currency": currency, # example: USD "amount": amount } - r = requests.post(self.url + "/profiles/margin-transfer", data=json.dumps(payload), auth=self.auth, timeout=30) + r = requests.post(self.url + "/profiles/margin-transfer", data=json.dumps(payload), auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json() def get_position(self): - r = requests.get(self.url + "/position", auth=self.auth, timeout=30) + r = requests.get(self.url + "/position", auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json() def close_position(self, repay_only=""): payload = { "repay_only": repay_only or False } - r = requests.post(self.url + "/position/close", data=json.dumps(payload), auth=self.auth, timeout=30) + r = requests.post(self.url + "/position/close", data=json.dumps(payload), auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json() @@ -221,7 +222,7 @@ def deposit(self, amount="", currency="", payment_method_id=""): "currency": currency, "payment_method_id": payment_method_id } - r = requests.post(self.url + "/deposits/payment-method", data=json.dumps(payload), auth=self.auth, timeout=30) + r = requests.post(self.url + "/deposits/payment-method", data=json.dumps(payload), auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json() @@ -231,7 +232,7 @@ def coinbase_deposit(self, amount="", currency="", coinbase_account_id=""): "currency": currency, "coinbase_account_id": coinbase_account_id } - r = requests.post(self.url + "/deposits/coinbase-account", data=json.dumps(payload), auth=self.auth, timeout=30) + r = requests.post(self.url + "/deposits/coinbase-account", data=json.dumps(payload), auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json() @@ -241,7 +242,7 @@ def withdraw(self, amount="", currency="", payment_method_id=""): "currency": currency, "payment_method_id": payment_method_id } - r = requests.post(self.url + "/withdrawals/payment-method", data=json.dumps(payload), auth=self.auth, timeout=30) + r = requests.post(self.url + "/withdrawals/payment-method", data=json.dumps(payload), auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json() @@ -251,7 +252,7 @@ def coinbase_withdraw(self, amount="", currency="", coinbase_account_id=""): "currency": currency, "coinbase_account_id": coinbase_account_id } - r = requests.post(self.url + "/withdrawals/coinbase", data=json.dumps(payload), auth=self.auth, timeout=30) + r = requests.post(self.url + "/withdrawals/coinbase", data=json.dumps(payload), auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json() @@ -261,17 +262,17 @@ def crypto_withdraw(self, amount="", currency="", crypto_address=""): "currency": currency, "crypto_address": crypto_address } - r = requests.post(self.url + "/withdrawals/crypto", data=json.dumps(payload), auth=self.auth, timeout=30) + r = requests.post(self.url + "/withdrawals/crypto", data=json.dumps(payload), auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json() def get_payment_methods(self): - r = requests.get(self.url + "/payment-methods", auth=self.auth, timeout=30) + r = requests.get(self.url + "/payment-methods", auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json() def get_coinbase_accounts(self): - r = requests.get(self.url + "/coinbase-accounts", auth=self.auth, timeout=30) + r = requests.get(self.url + "/coinbase-accounts", auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json() @@ -286,16 +287,16 @@ def create_report(self, report_type="", start_date="", end_date="", product_id=" "format": report_format, "email": email } - r = requests.post(self.url + "/reports", data=json.dumps(payload), auth=self.auth, timeout=30) + r = requests.post(self.url + "/reports", data=json.dumps(payload), auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json() def get_report(self, report_id=""): - r = requests.get(self.url + "/reports/" + report_id, auth=self.auth, timeout=30) + r = requests.get(self.url + "/reports/" + report_id, auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json() def get_trailing_volume(self): - r = requests.get(self.url + "/users/self/trailing-volume", auth=self.auth, timeout=30) + r = requests.get(self.url + "/users/self/trailing-volume", auth=self.auth, timeout=self.timeout) # r.raise_for_status() return r.json()

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fendouai/JPush-HTTP2-Python

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import json import logging from jpush import common logger = logging.getLogger('jpush') class Push(object): """A push notification. Set audience, message, etc, and send.""" def __init__(self, jpush): self._jpush = jpush self.audience = None self.notification = None self.platform = None self.options = None self.message = None self.smsmessage=None @property def payload(self): data = { "audience": self.audience, "platform": self.platform, } if (self.notification is None) and (self.message is None): raise ValueError("Notification and message cannot be both empty") if self.notification is not None: data['notification'] = self.notification if self.smsmessage is not None: data['sms_message'] = self.smsmessage if self.options is not None: data['options'] = self.options if self.message is not None: data['message'] = self.message return data def send(self): """Send the notification. :returns: :py:class:`PushResponse` object with ``push_ids`` and other response data. :raises JPushFailure: Request failed. :raises Unauthorized: Authentication failed. """ body = json.dumps(self.payload) response = self._jpush._request('POST',body,common.PUSH_URL,base_url=common.PUSH_BASEURL) return response def send_validate(self): """Send the notification to validate. :returns: :py:class:`PushResponse` object with ``push_ids`` and other response data. :raises JPushFailure: Request failed. :raises Unauthorized: Authentication failed. """ body = json.dumps(self.payload) response = self._jpush._request('POST', body, common.VALIDATE_PUSH_URL, base_url=common.PUSH_BASEURL) return response

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# import unittest from testinfrastructure.InDirTest import InDirTest import numpy as np from sympy import symbols, Matrix from CompartmentalSystems.smooth_reservoir_model import SmoothReservoirModel from CompartmentalSystems.smooth_model_run import SmoothModelRun from CompartmentalSystems.smooth_model_run_14C import SmoothModelRun_14C from CompartmentalSystems.pwc_model_run_fd import PWCModelRunFD from CompartmentalSystems.pwc_model_run_14C import PWCModelRun_14C from CompartmentalSystems.discrete_model_run import DiscreteModelRun from CompartmentalSystems.discrete_model_run_14C import DiscreteModelRun_14C from CompartmentalSystems.model_run import ( plot_stocks_and_fluxes ) class TestModelRun_14C(InDirTest): def setUp(self): x, y, t = symbols("x y t") state_vector = Matrix([x, y]) B = Matrix([[-1, 1.5], [0.5, -2]]) u = Matrix(2, 1, [9, 1]) srm = SmoothReservoirModel.from_B_u(state_vector, t, B, u) start_values = np.array([10, 40]) self.start_values = start_values self.t_0 = 0 self.t_max = 10 self.ntmo = 10 self.fac = 2 self.times = np.linspace(self.t_0, self.t_max, self.ntmo+1) self.smr = SmoothModelRun(srm, {}, start_values, self.times) alpha = 0.5 self.decay_rate = 1.0 self.start_values_14C = alpha * self.start_values def Fa_func(t): return alpha self.Fa_func = Fa_func self.smr_14C = SmoothModelRun_14C( self.smr, self.start_values_14C, self.Fa_func, self.decay_rate ) def test_DiscreteModelRun_14CFromFakeData(self): dmr_from_smr_14C = DiscreteModelRun.from_SmoothModelRun(self.smr_14C) dmr_14C = DiscreteModelRun_14C( DiscreteModelRun.from_SmoothModelRun(self.smr), self.start_values_14C, dmr_from_smr_14C.net_Us, self.decay_rate ) meths = [ "solve", "acc_net_external_input_vector", "acc_net_external_output_vector", "acc_net_internal_flux_matrix" ] for meth in meths: with self.subTest(): self.assertTrue( np.allclose( getattr(self.smr_14C, meth)(), getattr(dmr_14C, meth)() ) ) def test_PWCModelRunFD_14C(self): times = self.smr.times xs, gross_Us, gross_Fs, gross_Rs \ = self.smr.fake_gross_discretized_output(times) pwc_mr_fd = PWCModelRunFD.from_gross_fluxes( self.smr.model.time_symbol, times, self.smr.start_values, gross_Us, gross_Fs, gross_Rs ) pwc_mr_fd_14C = PWCModelRun_14C( pwc_mr_fd.pwc_mr, self.start_values_14C, self.Fa_func, self.decay_rate ) meths = [ "solve", "acc_gross_external_input_vector", "acc_net_external_input_vector", "acc_gross_external_output_vector", "acc_net_external_output_vector", "acc_gross_internal_flux_matrix", "acc_net_internal_flux_matrix" ] for meth in meths: with self.subTest(): ref = getattr(self.smr_14C, meth)() res = getattr(pwc_mr_fd_14C, meth)() self.assertTrue( np.allclose( ref, res, rtol=3e-02 ) # For this linear constant model # the error should actually be zero # and is only due to numerical inaccuracy. ) plot_stocks_and_fluxes( [ self.smr_14C, pwc_mr_fd_14C ], 'stocks_and_fluxes.pdf' )

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anilcanbulut/Face-Detection-With-LED

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# import the necessary packages from picamera.array import PiRGBArray from picamera import PiCamera import time import cv2 import RPi.GPIO as GPIO GPIO.setwarnings(False) #To avoid all warnings GPIO.setmode(GPIO.BCM) #Setting of the GPIO board mode #GPIO pin definition GPIO.setup(17, GPIO.OUT) # initialize the camera and grab a reference to the raw camera capture camera = PiCamera() camera.resolution = (320, 240) camera.framerate = 30 rawCapture = PiRGBArray(camera, size=(320, 240)) # To warm up your camera time.sleep(0.1) #Define your Cascade Classifier, I've directly used my directory so you should change it. face_cascade = cv2.CascadeClassifier('/home/pi/Desktop/OpenCv Turtorials/haarcascade-frontalface-default.xml') # capture frames from the camera for frame in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True): # grab the raw NumPy array representing the image image = frame.array #Converting the image color to gray, this makes things easy gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) #Lets find the faces faces = face_cascade.detectMultiScale(gray, 1.3, 5) #Our LED will start to light GPIO.output(17, GPIO.HIGH) for (x,y,w,h) in faces: #This line will draw rectangles for each of the faces. cv2.rectangle(image,(x,y),(x+w,y+h),(255,0,0),2) #When we draw a rectangle, our LED will die. GPIO.output(17, GPIO.LOW) time.sleep(0.5) # wait some time #Start to light it again GPIO.output(17, GPIO.HIGH) # show the frame cv2.imshow("Frame", image)

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cash2one/yuancloud

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# -*- coding: utf-8 -*- # Part of YuanCloud. See LICENSE file for full copyright and licensing details. # Copyright (C) Rooms For (Hong Kong) Limited T/A OSCG { 'name': 'Japan - Accounting', 'version': '1.2', 'category' : 'Finance Management', 'description': """ Overview: --------- * Chart of Accounts and Taxes template for companies in Japan. * This probably does not cover all the necessary accounts for a company. \ You are expected to add/delete/modify accounts based on this template. Note: ----- * Fiscal positions '内税' and '外税' have been added to handle special \ requirements which might arise from POS implementation. [1] You may not \ need to use these at all under normal circumstances. [1] See https://github.com/yuancloud/yuancloud/pull/6470 for detail. """, 'author': 'Rooms For (Hong Kong) Limited T/A OSCG', 'website': 'http://www.yuancloud-asia.net/', 'depends': ['account'], 'data': [ 'data/account_chart_template.xml', 'data/account.account.template.csv', 'data/account.tax.template.csv', 'data/account_chart_template_after.xml', 'data/account_chart_template.yml', 'data/account.fiscal.position.template.csv', ], 'installable': True, }

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import sqlite3 file = input("Full path to the deletion list: ") with open(file, 'r') as f: # ensure the file is open and closed properly users = f.readlines() database = input("Full path to database: ") with sqlite3.connect(database) as conn: curs = conn.cursor() for user in users: curs.execute('DELETE FROM nick_values WHERE nick_id = ?', (user,)) curs.execute('DELETE FROM nicknames WHERE nick_id = ?', (user,)) curs.execute('DELETE FROM nick_ids WHERE nick_id = ?', (user,)) conn.commit()

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maxale/Data-Mining

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import sys from PyQt4 import QtGui, QtSvg app = QtGui.QApplication(sys.argv) svgWidget = QtSvg.QSvgWidget('pic1.svg') svgWidget.setGeometry(50,50,759,668) svgWidget.show() sys.exit(app.exec_())

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# -*- coding: utf-8 -*- from __future__ import print_function, division, absolute_import __author__ = """Tarek Elgindy""" __email__ = "tarek.elgindy@nrel.gov" __version__ = "0.1.0" from .store import Store

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#!/usr/bin/env python from flexbe_core import EventState, Logger from flexbe_core.proxy import ProxyActionClient class DepthActionState(EventState): ''' Actionlib actions are the most common basis for state implementations since they provide a non-blocking, high-level interface for robot capabilities. The example is based on the DoDishes-example of actionlib (see http://wiki.ros.org/actionlib). This time we have input and output keys in order to specify the goal and possibly further evaluate the result in a later state. -- dishes_to_do int Expected amount of dishes to be cleaned. ># dishwasher int ID of the dishwasher to be used. #> cleaned int Amount of cleaned dishes. <= cleaned_some Only a few dishes have been cleaned. <= cleaned_enough Cleaned a lot of dishes. <= command_error Cannot send the action goal. ''' def __init__(self, depth): # See example_state.py for basic explanations. super(DepthActionState, self).__init__(outcomes = ['failed', 'completed'], input_keys = ['dishwasher'], output_keys = ['cleaned']) self.depth = depth # Create the action client when building the behavior. # This will cause the behavior to wait for the client before starting execution # and will trigger a timeout error if it is not available. # Using the proxy client provides asynchronous access to the result and status # and makes sure only one client is used, no matter how often this state is used in a behavior. self._topic = 'goto_depth' self._client = ProxyActionClient({self._topic: DoDishesAction}) # pass required clients as dict (topic: type) # It may happen that the action client fails to send the action goal. self._error = False def execute(self, userdata): # While this state is active, check if the action has been finished and evaluate the result. # Check if the client failed to send the goal. if self._error: return 'command_error' # Check if the action has been finished #if self._client.has_result(self._topic): #result = self._client.get_result(self._topic) # In this example, we also provide the amount of cleaned dishes as output key. # Based on the result, decide which outcome to trigger. #if result: return 'completed' #else: # return 'failed' # If the action has not yet finished, no outcome will be returned and the state stays active. def on_enter(self, userdata): # When entering this state, we send the action goal once to let the robot start its work. # As documented above, we get the specification of which dishwasher to use as input key. # This enables a previous state to make this decision during runtime and provide the ID as its own output key. #dishwasher_id = userdata.dishwasher # Create the goal. #goal = DoDishesGoal() #goal.dishwasher_id = dishwasher_id # Send the goal. self._error = False # make sure to reset the error state since a previous state execution might have failed try: self._client.send_goal(self._topic, goal) except Exception as e: # Since a state failure not necessarily causes a behavior failure, it is recommended to only print warnings, not errors. # Using a linebreak before appending the error log enables the operator to collapse details in the GUI. Logger.logwarn('Failed to send the DoDishes command:\n%s' % str(e)) self._error = True def on_exit(self, userdata): # Make sure that the action is not running when leaving this state. # A situation where the action would still be active is for example when the operator manually triggers an outcome. if not self._client.has_result(self._topic): self._client.cancel(self._topic) Logger.loginfo('Cancelled active action goal.')

[ "prth.2000@gmail.com" ]

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/battleship.py

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nickpwells/python_project

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from random import randint board = [] for x in range(5): board.append(["O"] * 5) def print_board(board): for row in board: print(" ".join(row)) print("Let's play Battleship!") print_board(board) def random_row(board): return randint(0, len(board) - 1) def random_col(board): return randint(0, len(board[0]) - 1) ship_row = random_row(board) ship_col = random_col(board) for turn in range(4): print("Turn", turn + 1) guess_row = int(input("Guess Row:")) guess_col = int(input("Guess Col:")) if guess_row == ship_row and guess_col == ship_col: print("Congratulations! You sunk my battleship!") break else: if (guess_row < 0 or guess_row > 4) or (guess_col < 0 or guess_col > 4): print("Oops, that's not even in the ocean.") elif(board[guess_row][guess_col] == "X"): print("You guessed that one already.") else: print("You missed my battleship!") board[guess_row][guess_col] = "X" if turn == 3: print("Game Over") # Print (turn + 1) here! print_board(board)

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def on_button_pressed_a(): basic.show_string("Temp") basic.show_string("" + str((input.temperature()))) input.on_button_pressed(Button.A, on_button_pressed_a) def on_button_pressed_ab(): basic.show_icon(IconNames.HAPPY) control.wait_micros(10000) basic.clear_screen() input.calibrate_compass() input.on_button_pressed(Button.AB, on_button_pressed_ab) def on_button_pressed_b(): basic.clear_screen() input.on_button_pressed(Button.B, on_button_pressed_b) def on_logo_pressed(): basic.show_icon(IconNames.HEART) control.wait_micros(10000) basic.clear_screen() input.on_logo_event(TouchButtonEvent.PRESSED, on_logo_pressed) led.set_brightness(70) basic.show_icon(IconNames.HAPPY) def on_forever(): basic.show_string("" + str((input.compass_heading()))) if input.compass_heading(): basic.show_arrow(ArrowNames.NORTH) music.set_volume(80) music.play_tone(988, music.beat(BeatFraction.QUARTER)) basic.forever(on_forever)

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/lib/loaf/slack_api/web_client/team.py

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2021-12-14T15:04:15.568615

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class Team: def __init__(self, client): self.client = client async def info(self): result = await self.client.api_call('GET', 'team.info') return result['team']

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Bharqgav/Qsamp

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import sys city = {"mumbai" : "maharashtra", "pune" : "maharashtra", "nasik" : "maharashtra"} while True: name = raw_input() if name.lower() in city: print city[name.lower()] break elif name.lower() in city.values(): print city.keys()[city.values().index(name.lower())] break else: print "error"

[ "saisatyabhargav.pothula@quantiphi.com" ]

saisatyabhargav.pothula@quantiphi.com

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mdubouch/noise-gan

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import torch import torch.nn as nn import torch.nn.functional as F import numpy as np __version__ = 205 # Number of wires in the CDC n_wires = 3606 # Number of continuous features (E, t, dca) n_features = 3 geom_dim = 3 def wire_hook(grad): print('wg %.2e %.2e' % (grad.abs().mean().item(), grad.std().item())) return grad class Gen(nn.Module): def __init__(self, ngf, latent_dims, seq_len, encoded_dim): super().__init__() self.ngf = ngf self.seq_len = seq_len self.version = __version__ # Input: (B, latent_dims, 1) self.act = nn.ReLU() n512 = 128 self.lin0 = nn.Linear(latent_dims, seq_len//1*n512, bias=True) self.bn0 = nn.BatchNorm1d(n512) self.n512 = n512 n256 = n512 // 2 n128 = n512 // 4 n64 = n512 // 8 n32 = n512 // 16 n16 = n512 // 32 #self.convu1 = nn.ConvTranspose1d(n512, n512, 4, 4, 0) #self.bnu1 = nn.BatchNorm1d(n512) #self.convu2 = nn.ConvTranspose1d(n512, n512, 8, 4, 2) #self.bnu2 = nn.BatchNorm1d(n512) #self.convu3 = nn.ConvTranspose1d(n512, n512, 8, 2, 3) #self.bnu3 = nn.BatchNorm1d(n512) #self.convu4 = nn.ConvTranspose1d(n512, n256, 8, 2, 3) #self.bnu4 = nn.BatchNorm1d(n256) #self.convu5 = nn.ConvTranspose1d(n256, n128, 8, 2, 3) #self.bnu5 = nn.BatchNorm1d(n128) #self.convu6 = nn.ConvTranspose1d(n128, n128, 8, 2, 3) #self.bnu6 = nn.BatchNorm1d(n128) self.convw1 = nn.Conv1d(n512, n_wires, 1, 1, 0) self.convp1 = nn.Conv1d(n512, n_features, 1, 1, 0) #self.conv1 = nn.ConvTranspose1d(n128, n128, 32, 2, 15) #self.bn1 = nn.BatchNorm1d(n128) #self.convw1 = nn.ConvTranspose1d(n128, n_wires, 1, 1, 0, bias=True) #self.convp1 = nn.ConvTranspose1d(n128, n_features, 1, 1, 0) self.out = nn.Tanh() self.max_its = 3000 self.temp_min = 0.75 self.gen_it = 3000 def forward(self, z, wire_to_xy): #print('latent space %.2e %.2e' % (z.mean().item(), z.std().item())) # z: random point in latent space x = self.act(self.bn0(self.lin0(z).reshape(-1, self.n512, self.seq_len // 1))) #x = self.act(self.bnu1(self.convu1(x))) #x = self.act(self.bnu2(self.convu2(x))) #x = self.act(self.bnu3(self.convu3(x))) #x = self.act(self.bnu4(self.convu4(x))) #x = self.act(self.bnu5(self.convu5(x))) #x = self.act(self.bnu6(self.convu6(x))) #x = self.act(self.bn1(self.conv1(x))) w = self.convw1(x) #print(w.unsqueeze(0).shape) #print((w.unsqueeze(0) - wire_to_xy.view(n_wires, 1, geom_dim, 1)).shape) # w: (b, 2, seq) # wire_to_xy: (2, n_wires) #print(wire_to_xy.unsqueeze(0).unsqueeze(2).shape) #print(w.unsqueeze(3).shape) #import matplotlib.pyplot as plt #import matplotlib.lines as lines #plt.figure() #plt.scatter(w[:,0,:].detach().cpu(), w[:,1,:].detach().cpu(), s=1) #_l = lines.Line2D(w[:,0,:].detach().cpu(), w[:,1,:].detach().cpu(), linewidth=0.1, color='gray', alpha=0.7) #plt.gca().add_line(_l) #plt.gca().set_aspect(1.0) #plt.savefig('test.png') #plt.close() #import matplotlib.pyplot as plt #plt.figure() #plt.plot(w[0,:,0].detach().cpu()) #plt.savefig('testw.png') #plt.close() #wdist = torch.norm(w.unsqueeze(3) - wire_to_xy.unsqueeze(0).unsqueeze(2), dim=1) #print(wdist.shape) ##print(1/wdist) #plt.figure() #plt.plot(wdist[0,0,:].detach().cpu()) #plt.savefig('test.png') #plt.close() #self.gen_it += 1 tau = 1. / ((1./self.temp_min)**(self.gen_it / self.max_its)) #print(tau) wg = F.gumbel_softmax(w, dim=1, hard=True, tau=tau) #wg = F.softmax(w / 10., dim=1) #print(wg.shape) #exit(1) #wg.register_hook(wire_hook) #xy = torch.tensordot(wg, wire_to_xy, dims=[[1],[1]]).permute(0,2,1) p = self.convp1(x) #return torch.cat([self.out(p), xy], dim=1), wg return self.out(p), wg def xy_hook(grad): print('xy %.2e %.2e' % (grad.abs().mean().item(), grad.std().item())) return grad class Disc(nn.Module): def __init__(self, ndf, seq_len, encoded_dim): super().__init__() self.version = __version__ # (B, n_features, 256) self.act = nn.LeakyReLU(0.2) n512 = 512 n256 = n512 // 2 n128 = n256 // 2 n64 = n128 // 2 self.conv0 = nn.utils.spectral_norm(nn.Conv1d(geom_dim, n64, 1, 2, 0)) self.conv1 = nn.utils.spectral_norm(nn.Conv1d(n64, n128, 1, 2, 0)) self.conv2 = nn.utils.spectral_norm(nn.Conv1d(n64+n128, n256, 1, 2, 0)) self.conv3 = nn.utils.spectral_norm(nn.Conv1d(n256, n512, 1, 2, 0)) self.conv4 = nn.utils.spectral_norm(nn.Conv1d(n256+n512, n512, 1, 2, 0)) self.conv5 = nn.utils.spectral_norm(nn.Conv1d(n512, n512, 4, 4, 0)) self.conv6 = nn.utils.spectral_norm(nn.Conv1d(n512+n512, n512, 4, 4, 0)) #self.db1 = DBlock(n256) #self.db2 = DBlock(n256) #self.db3 = DBlock(n256) #self.conv2 = nn.Conv1d(256, 512, 3, 2, 1) #self.conv3 = nn.Conv1d(512, 1024, 3, 2, 1) #self.conv4 = nn.Conv1d(1024, 2048, 3, 2, 1) #self.lin0 = nn.Linear(256 * seq_len // 1, 1, bias=True) #self.lin0 = nn.Linear(seq_len//4*512, 1) #self.convf = nn.utils.spectral_norm(nn.Conv1d(n512, 1, 3, 1, 1, padding_mode='circular')) self.lin0 = nn.utils.spectral_norm(nn.Linear(n512, 1)) #self.lin0 = nn.utils.spectral_norm(nn.Linear(n512*seq_len//32, 128)) #self.lin1 = nn.utils.spectral_norm(nn.Linear(128, 1)) self.out = nn.Identity() def forward(self, x_): # x_ is concatenated tensor of p_ and w_, shape (batch, features+n_wires, seq_len) # p_ shape is (batch, features, seq_len), # w_ is AE-encoded wire (batch, encoded_dim, seq_len) seq_len = x_.shape[2] x = x_ #dist = ((xy - nn.ConstantPad1d((1, 0), 0.0)(xy[:,:,:-1]))**2).sum(dim=1).unsqueeze(1) p = x[:,:n_features] xy = x[:,n_features:n_features+geom_dim] wg = x[:,n_features+geom_dim:] pxy = x[:,:n_features+geom_dim] p = p xy = xy wg = wg #print(wire0) #print('mean %.2e %.2e' % (p.mean().item(), xy.mean().item())) #print('std %.2e %.2e' % (p.std().item(), xy.std().item())) #print('xy1 %.2e %.2e' % (xy.mean().item(), xy.std().item())) print('p %.2e %.2e' %( p.abs().mean().item(), p.std().item())) print('xy %.2e %.2e' %( xy.abs().mean().item(), xy.std().item())) #print('xy2 %.2e %.2e' % (xy.mean().item(), xy.std().item())) #x = torch.cat([p, xy], dim=1) x = xy x0 = self.conv0(x) x1 = self.conv1(self.act(x0)) x0 = F.interpolate(x0, size=x1.shape[2], mode='area') x2 = self.conv2(self.act(torch.cat([x0, x1], dim=1))) x3 = self.conv3(self.act(x2)) x2 = F.interpolate(x2, size=x3.shape[2], mode='area') x4 = self.conv4(self.act(torch.cat([x2, x3], dim=1))) x5 = self.conv5(self.act(x4)) x4 = F.interpolate(x4, size=x5.shape[2], mode='area') x6 = self.conv6(self.act(torch.cat([x4, x5], dim=1))) x = self.act(x6) x = self.lin0(x.mean(2)) return self.out(x)#.squeeze(1) class VAE(nn.Module): def __init__(self, encoded_dim): super().__init__() class Enc(nn.Module): def __init__(self, hidden_size): super().__init__() self.act = nn.LeakyReLU(0.2) self.lin1 = nn.Linear(n_wires, hidden_size) self.lin2 = nn.Linear(hidden_size, encoded_dim) self.out = nn.Tanh() def forward(self, x): x = self.act(self.lin1(x)) return self.out(self.lin2(x)) class Dec(nn.Module): def __init__(self, hidden_size): super().__init__() self.act = nn.ReLU() self.lin1 = nn.Linear(encoded_dim, hidden_size) self.lin2 = nn.Linear(hidden_size, n_wires) def forward(self, x): x = self.act(self.lin1(x)) return self.lin2(x) self.enc_net = Enc(512) self.dec_net = Dec(512) def enc(self, x): return self.enc_net(x.permute(0, 2, 1)).permute(0,2,1) def dec(self, x): return self.dec_net(x.permute(0, 2, 1)).permute(0,2,1) def forward(self, x): y = self.dec_net(self.enc_net(x)) return y def get_n_params(model): return sum(p.reshape(-1).shape[0] for p in model.parameters())

[ "m.dubouchet18@imperial.ac.uk" ]

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from models.user import User from db.run_sql import run_sql def save(user): sql="INSERT INTO users( first_name, last_name, gender, age, weight, height ) VALUES (%s, %s, %s, %s, %s, %s) RETURNING id" values = [user.first_name, user.last_name, user.gender, user.age, user.weight, user.height] results = run_sql(sql, values) user.id = results[0]['id'] return user

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MainWindow.clearData() MainWindow.importGeometry("%examplesPath%/platform.stp")

[ "1229331300@qq.com" ]

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Michael5531/INFO1110S2

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refs/heads/master

2020-09-07T00:29:33.386827

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class Location(): def __init__(self, name): self.name = name list_test = [["a","b","c"],["d","e","f"]] i = 0 while i < len(list_test): list_test[i][0] = Location(list_test[i][0]) list_test[i][2] = Location(list_test[i][2]) i += 1 print(list_test)

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2023-03-02T03:35:17.033360

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import numpy as np from scipy import sparse as sp from numpy.testing import assert_array_equal from sklearn.base import BaseEstimator from sklearn.feature_selection.base import SelectorMixin from sklearn.utils import check_array from sklearn.utils.testing import assert_raises, assert_equal class StepSelector(SelectorMixin, BaseEstimator): """Retain every `step` features (beginning with 0)""" def __init__(self, step=2): self.step = step def fit(self, X, y=None): X = check_array(X, 'csc') self.n_input_feats = X.shape[1] return self def _get_support_mask(self): mask = np.zeros(self.n_input_feats, dtype=bool) mask[::self.step] = True return mask support = [True, False] * 5 support_inds = [0, 2, 4, 6, 8] X = np.arange(20).reshape(2, 10) Xt = np.arange(0, 20, 2).reshape(2, 5) Xinv = X.copy() Xinv[:, 1::2] = 0 y = [0, 1] feature_names = list('ABCDEFGHIJ') feature_names_t = feature_names[::2] feature_names_inv = np.array(feature_names) feature_names_inv[1::2] = '' def test_transform_dense(): sel = StepSelector() Xt_actual = sel.fit(X, y).transform(X) Xt_actual2 = StepSelector().fit_transform(X, y) assert_array_equal(Xt, Xt_actual) assert_array_equal(Xt, Xt_actual2) # Check dtype matches assert_equal(np.int32, sel.transform(X.astype(np.int32)).dtype) assert_equal(np.float32, sel.transform(X.astype(np.float32)).dtype) # Check 1d list and other dtype: names_t_actual = sel.transform([feature_names]) assert_array_equal(feature_names_t, names_t_actual.ravel()) # Check wrong shape raises error assert_raises(ValueError, sel.transform, np.array([[1], [2]])) def test_transform_sparse(): sparse = sp.csc_matrix sel = StepSelector() Xt_actual = sel.fit(sparse(X)).transform(sparse(X)) Xt_actual2 = sel.fit_transform(sparse(X)) assert_array_equal(Xt, Xt_actual.toarray()) assert_array_equal(Xt, Xt_actual2.toarray()) # Check dtype matches assert_equal(np.int32, sel.transform(sparse(X).astype(np.int32)).dtype) assert_equal(np.float32, sel.transform(sparse(X).astype(np.float32)).dtype) # Check wrong shape raises error assert_raises(ValueError, sel.transform, np.array([[1], [2]])) def test_inverse_transform_dense(): sel = StepSelector() Xinv_actual = sel.fit(X, y).inverse_transform(Xt) assert_array_equal(Xinv, Xinv_actual) # Check dtype matches assert_equal(np.int32, sel.inverse_transform(Xt.astype(np.int32)).dtype) assert_equal(np.float32, sel.inverse_transform(Xt.astype(np.float32)).dtype) # Check 1d list and other dtype: names_inv_actual = sel.inverse_transform([feature_names_t]) assert_array_equal(feature_names_inv, names_inv_actual.ravel()) # Check wrong shape raises error assert_raises(ValueError, sel.inverse_transform, np.array([[1], [2]])) def test_inverse_transform_sparse(): sparse = sp.csc_matrix sel = StepSelector() Xinv_actual = sel.fit(sparse(X)).inverse_transform(sparse(Xt)) assert_array_equal(Xinv, Xinv_actual.toarray()) # Check dtype matches assert_equal(np.int32, sel.inverse_transform(sparse(Xt).astype(np.int32)).dtype) assert_equal(np.float32, sel.inverse_transform(sparse(Xt).astype(np.float32)).dtype) # Check wrong shape raises error assert_raises(ValueError, sel.inverse_transform, np.array([[1], [2]])) def test_get_support(): sel = StepSelector() sel.fit(X, y) assert_array_equal(support, sel.get_support()) assert_array_equal(support_inds, sel.get_support(indices=True))

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import sys import os work_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__))) sys.path.extend([work_dir]) import src.train

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import os import librosa import librosa.display import struct import pandas as pd import numpy as np from sklearn.preprocessing import LabelEncoder from sklearn.model_selection import train_test_split from keras.utils import to_categorical from keras.models import Sequential from keras.layers import Dense, Dropout, Activation, Flatten from keras.layers import Convolution2D, Conv2D, MaxPooling2D, GlobalAveragePooling2D from keras.optimizers import Adam from keras.utils import np_utils from sklearn import metrics def readFileProperties(filename): waveFile = open(filename, "rb") fmt = waveFile.read(36) numChannels = struct.unpack('<H', fmt[10:12])[0] sampleRate = struct.unpack('<I', fmt[12:16])[0] bitDepth = struct.unpack('<H', fmt[22:24])[0] waveFile.close() return (numChannels, sampleRate, bitDepth) def extractFeatures(filename): try: audio, sampleRate = librosa.load(filename, res_type='kaiser_fast') mfccs = librosa.feature.mfcc(y=audio, sr=sampleRate, n_mfcc=40) mfccsscaled = np.mean(mfccs.T, axis=0) except Exception as e: print(e) return None return mfccsscaled audiodata = [] metadata = readFileProperties("nfl.wav") features = extractFeatures("nfl.wav") audiodata.append((0, metadata[0], metadata[1], metadata[2], [features])) # data = readFileProperties("ad1.wav") # features = extractFeatures("ad1.wav") # audiodata.append((1, metadata[0], metadata[1], metadata[2], [features])) data = readFileProperties("ad2.wav") features = extractFeatures("ad2.wav") audiodata.append((1, metadata[0], metadata[1], metadata[2], features)) dataFrame = pd.DataFrame(audiodata, columns=['adBool', 'numChannels', 'sampleRate', 'bitDepth', 'features']) print("\nDATAFRAME") print(dataFrame) print() print(type(dataFrame.features)) x = np.array(dataFrame.features.tolist()) y = np.array(dataFrame.adBool.tolist()) x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2, random_state=42) print(x_train) print(x_test) print(y_train) print(y_test) num_rows = 40 num_columns = 40 num_channels = 1 x_train = x_train.reshape(x_train.shape[0], num_rows, num_columns, num_channels) x_test = x_test.reshape(x_test.shape[0], num_rows, num_columns, num_channels) # Construct model model = Sequential() model.add(Conv2D(16, (2,2), input_shape=(num_rows, num_columns, num_channels), activation='relu')) model.add(MaxPooling2D(pool_size=(2,2))) model.add(Dropout(0.2)) model.add(Conv2D(32, (2,2), activation='relu')) model.add(MaxPooling2D(pool_size=(2,2))) model.add(Dropout(0.2)) model.add(Conv2D(64, (2,2), activation='relu')) model.add(MaxPooling2D(pool_size=(2,2))) model.add(Dropout(0.2)) model.add(Conv2D(128, (2,2), activation='relu')) model.add(MaxPooling2D(pool_size=(2,2))) model.add(Dropout(0.2)) model.add(GlobalAveragePooling2D()) num_labels = y.shape[1] # filter_size = 2 model.add(Dense(num_labels, activation='softmax')) # Compile the model model.compile(loss='categorical_crossentropy', metrics=['accuracy'], optimizer='adam') # Display model architecture summary model.summary() # Calculate pre-training accuracy score = model.evaluate(x_test, y_test, verbose=1) accuracy = 100 * score[1] print("Pre-training accuracy: %.4f%%" % accuracy) from keras.callbacks import ModelCheckpoint from datetime import datetime num_epochs = 72 num_batch_size = 256 checkpointer = ModelCheckpoint(filepath='saved_models/weights.best.basic_cnn.hdf5', verbose=1, save_best_only=True) start = datetime.now() model.fit(x_train, y_train, batch_size=num_batch_size, epochs=num_epochs, validation_data=(x_test, y_test), callbacks=[checkpointer], verbose=1) duration = datetime.now() - start print("Training completed in time: ", duration) # Evaluating the model on the training and testing set score = model.evaluate(x_train, y_train, verbose=0) print("Training Accuracy: ", score[1]) score = model.evaluate(x_test, y_test, verbose=0) print("Testing Accuracy: ", score[1])

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# Copyright 2017 The TensorFlow Authors. 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. # ============================================================================== """Contains classes specifying naming conventions used for object detection. Specifies: InputDataFields: standard fields used by reader/preprocessor/batcher. DetectionResultFields: standard fields returned by object detector. BoxListFields: standard field used by BoxList TfExampleFields: standard fields for tf-example data format (go/tf-example). """ class InputDataFields(object): """Names for the input tensors. Holds the standard data field names to use for identifying input tensors. This should be used by the decoder to identify keys for the returned tensor_dict containing input tensors. And it should be used by the model to identify the tensors it needs. Attributes: image: image. image_additional_channels: additional channels. original_image: image in the original input size. key: unique key corresponding to image. source_id: source of the original image. filename: original filename of the dataset (without common path). groundtruth_image_classes: image-level class labels. groundtruth_boxes: coordinates of the ground truth boxes in the image. groundtruth_classes: box-level class labels. groundtruth_label_types: box-level label types (e.g. explicit negative). groundtruth_is_crowd: [DEPRECATED, use groundtruth_group_of instead] is the groundtruth a single object or a crowd. groundtruth_area: area of a groundtruth segment. groundtruth_difficult: is a `difficult` object groundtruth_group_of: is a `group_of` objects, e.g. multiple objects of the same class, forming a connected group, where instances are heavily occluding each other. proposal_boxes: coordinates of object proposal boxes. proposal_objectness: objectness score of each proposal. groundtruth_instance_masks: ground truth instance masks. groundtruth_instance_boundaries: ground truth instance boundaries. groundtruth_instance_classes: instance mask-level class labels. groundtruth_keypoints: ground truth keypoints. groundtruth_keypoint_visibilities: ground truth keypoint visibilities. groundtruth_label_scores: groundtruth label scores. groundtruth_weights: groundtruth weight factor for bounding boxes. num_groundtruth_boxes: number of groundtruth boxes. true_image_shapes: true shapes of images in the resized images, as resized images can be padded with zeros. verified_labels: list of human-verified image-level labels (note, that a label can be verified both as positive and negative). multiclass_scores: the label score per class for each box. """ image = 'image' image_additional_channels = 'image_additional_channels' original_image = 'original_image' key = 'key' source_id = 'source_id' filename = 'filename' groundtruth_image_classes = 'groundtruth_image_classes' groundtruth_boxes = 'groundtruth_boxes' groundtruth_classes = 'groundtruth_classes' groundtruth_label_types = 'groundtruth_label_types' groundtruth_is_crowd = 'groundtruth_is_crowd' groundtruth_area = 'groundtruth_area' groundtruth_difficult = 'groundtruth_difficult' groundtruth_group_of = 'groundtruth_group_of' proposal_boxes = 'proposal_boxes' proposal_objectness = 'proposal_objectness' groundtruth_instance_masks = 'groundtruth_instance_masks' groundtruth_instance_boundaries = 'groundtruth_instance_boundaries' groundtruth_instance_classes = 'groundtruth_instance_classes' groundtruth_keypoints = 'groundtruth_keypoints' groundtruth_keypoint_visibilities = 'groundtruth_keypoint_visibilities' groundtruth_label_scores = 'groundtruth_label_scores' groundtruth_weights = 'groundtruth_weights' num_groundtruth_boxes = 'num_groundtruth_boxes' true_image_shape = 'true_image_shape' verified_labels = 'verified_labels' multiclass_scores = 'multiclass_scores' class DetectionResultFields(object): """Naming conventions for storing the output of the detector. Attributes: source_id: source of the original image. key: unique key corresponding to image. detection_boxes: coordinates of the detection boxes in the image. detection_scores: detection scores for the detection boxes in the image. detection_classes: detection-level class labels. detection_masks: contains a segmentation mask for each detection box. detection_boundaries: contains an object boundary for each detection box. detection_keypoints: contains detection keypoints for each detection box. num_detections: number of detections in the batch. """ source_id = 'source_id' key = 'key' detection_boxes = 'detection_boxes' detection_scores = 'detection_scores' detection_classes = 'detection_classes' detection_masks = 'detection_masks' detection_boundaries = 'detection_boundaries' detection_keypoints = 'detection_keypoints' num_detections = 'num_detections' class BoxListFields(object): """Naming conventions for BoxLists. Attributes: boxes: bounding box coordinates. classes: classes per bounding box. scores: scores per bounding box. weights: sample weights per bounding box. objectness: objectness score per bounding box. masks: masks per bounding box. boundaries: boundaries per bounding box. keypoints: keypoints per bounding box. keypoint_heatmaps: keypoint heatmaps per bounding box. is_crowd: is_crowd annotation per bounding box. """ boxes = 'boxes' classes = 'classes' scores = 'scores' weights = 'weights' objectness = 'objectness' masks = 'masks' boundaries = 'boundaries' keypoints = 'keypoints' keypoint_heatmaps = 'keypoint_heatmaps' is_crowd = 'is_crowd' class TfExampleFields(object): """TF-example proto feature names for object detection. Holds the standard feature names to load from an Example proto for object detection. Attributes: image_encoded: JPEG encoded string image_format: image format, e.g. "JPEG" filename: filename channels: number of channels of image colorspace: colorspace, e.g. "RGB" height: height of image in pixels, e.g. 462 width: width of image in pixels, e.g. 581 source_id: original source of the image image_class_text: image-level label in text format image_class_label: image-level label in numerical format object_class_text: labels in text format, e.g. ["person", "cat"] object_class_label: labels in numbers, e.g. [16, 8] object_bbox_xmin: xmin coordinates of groundtruth box, e.g. 10, 30 object_bbox_xmax: xmax coordinates of groundtruth box, e.g. 50, 40 object_bbox_ymin: ymin coordinates of groundtruth box, e.g. 40, 50 object_bbox_ymax: ymax coordinates of groundtruth box, e.g. 80, 70 object_view: viewpoint of object, e.g. ["frontal", "left"] object_truncated: is object truncated, e.g. [true, false] object_occluded: is object occluded, e.g. [true, false] object_difficult: is object difficult, e.g. [true, false] object_group_of: is object a single object or a group of objects object_depiction: is object a depiction object_is_crowd: [DEPRECATED, use object_group_of instead] is the object a single object or a crowd object_segment_area: the area of the segment. object_weight: a weight factor for the object's bounding box. instance_masks: instance segmentation masks. instance_boundaries: instance boundaries. instance_classes: Classes for each instance segmentation mask. detection_class_label: class label in numbers. detection_bbox_ymin: ymin coordinates of a detection box. detection_bbox_xmin: xmin coordinates of a detection box. detection_bbox_ymax: ymax coordinates of a detection box. detection_bbox_xmax: xmax coordinates of a detection box. detection_score: detection score for the class label and box. """ image_encoded = 'image/encoded' image_format = 'image/format' # format is reserved keyword filename = 'image/filename' channels = 'image/channels' colorspace = 'image/colorspace' height = 'image/height' width = 'image/width' source_id = 'image/source_id' image_class_text = 'image/class/text' image_class_label = 'image/class/label' object_class_text = 'image/object/class/text' object_class_label = 'image/object/class/label' object_bbox_ymin = 'image/object/bbox/ymin' object_bbox_xmin = 'image/object/bbox/xmin' object_bbox_ymax = 'image/object/bbox/ymax' object_bbox_xmax = 'image/object/bbox/xmax' object_view = 'image/object/view' object_truncated = 'image/object/truncated' object_occluded = 'image/object/occluded' object_difficult = 'image/object/difficult' object_group_of = 'image/object/group_of' object_depiction = 'image/object/depiction' object_is_crowd = 'image/object/is_crowd' object_segment_area = 'image/object/segment/area' object_weight = 'image/object/weight' instance_masks = 'image/segmentation/object' instance_boundaries = 'image/boundaries/object' instance_classes = 'image/segmentation/object/class' detection_class_label = 'image/detection/label' detection_bbox_ymin = 'image/detection/bbox/ymin' detection_bbox_xmin = 'image/detection/bbox/xmin' detection_bbox_ymax = 'image/detection/bbox/ymax' detection_bbox_xmax = 'image/detection/bbox/xmax' detection_score = 'image/detection/score'

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import numpy as np from robosuite.models.arenas import Arena from robosuite.utils.mjcf_utils import xml_path_completion from robosuite.utils.mjcf_utils import array_to_string, string_to_array class BinSqueezeArena(Arena): """Workspace that contains two bins placed side by side.""" def __init__( self, table_full_size=(0.39, 0.49, 0.82), table_target_size=(0.105, 0.085, 0.12), table_friction=(1, 0.005, 0.0001) ): """ Args: table_full_size: full dimensions of the table friction: friction parameters of the table """ super().__init__(xml_path_completion("arenas/bin_squeeze_arena.xml")) self.table_full_size = np.array(table_full_size) self.table_target_size = np.array(table_target_size) self.table_half_size = self.table_full_size / 2 self.table_friction = table_friction self.floor = self.worldbody.find("./geom[@name='floor']") self.bin1_body = self.worldbody.find("./body[@name='bin1']") self.bin2_body = self.worldbody.find("./body[@name='bin2']") self.configure_location() def configure_location(self): self.bottom_pos = np.array([0, 0, 0]) self.floor.set("pos", array_to_string(self.bottom_pos)) @property def bin_abs(self): """Returns the absolute position of table top""" return string_to_array(self.bin1_body.get("pos"))

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#!/opt/dveltool/toolchain/raspberrypi2/buildx_/buildroot-2015.11.1/../../host/usr/bin/python2.7 import sys from lib2to3.main import main sys.exit(main("lib2to3.fixes"))

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# This is the comment for the comments.py file print("Hello!") # this comment is for the second line print("# this is not a comment") # hola

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# -*- coding: utf-8 -*- import os import sys import container_sdk.api.hpa.delete_hpa_pb2 import google.protobuf.empty_pb2 import container_sdk.api.hpa.update_pb2 import container_sdk.model.container.hpa_pb2 import container_sdk.utils.http_util import google.protobuf.json_format class HpaClient(object): def __init__(self, server_ip="", server_port=0, service_name="", host=""): """ 初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server_port，与server_ip一起使用, 为空时走名字服务路由 :param service_name: 指定sdk请求的service_name, 为空时按契约名称路由。如果server_ip和service_name同时设置，server_ip优先级更高 :param host: 指定sdk请求服务的host名称, 如cmdb.easyops-only.com """ if server_ip == "" and server_port != 0 or server_ip != "" and server_port == 0: raise Exception("server_ip和server_port必须同时指定") self._server_ip = server_ip self._server_port = server_port self._service_name = service_name self._host = host def delete_hpa(self, request, org, user, timeout=10): # type: (container_sdk.api.hpa.delete_hpa_pb2.DeleteHPARequest, int, str, int) -> google.protobuf.empty_pb2.Empty """ 删除 HPA :param request: delete_hpa请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: google.protobuf.empty_pb2.Empty """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.container.hpa.DeleteHPA" uri = "/api/container/v1/horizontalpodautoscalers/{instanceId}".format( instanceId=request.instanceId, ) requestParam = request rsp_obj = container_sdk.utils.http_util.do_api_request( method="DELETE", src_name="logic.container_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = google.protobuf.empty_pb2.Empty() google.protobuf.json_format.ParseDict(rsp_obj, rsp, ignore_unknown_fields=True) return rsp def update(self, request, org, user, timeout=10): # type: (container_sdk.api.hpa.update_pb2.UpdateRequest, int, str, int) -> container_sdk.model.container.hpa_pb2.HorizontalPodAutoscaler """ 更新 HPA :param request: update请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: container_sdk.model.container.hpa_pb2.HorizontalPodAutoscaler """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.container.hpa.Update" uri = "/api/container/v1/horizontalpodautoscalers/{instanceId}".format( instanceId=request.instanceId, ) requestParam = request rsp_obj = container_sdk.utils.http_util.do_api_request( method="PUT", src_name="logic.container_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = container_sdk.model.container.hpa_pb2.HorizontalPodAutoscaler() google.protobuf.json_format.ParseDict(rsp_obj["data"], rsp, ignore_unknown_fields=True) return rsp

[ "service@easyops.cn" ]

service@easyops.cn

50c0dd89f9d5f33b5fd955695c6dfc1d7b182a64

625ff91e8d6b4cdce9c60f76e693d32b761bfa16

/uk.ac.gda.core/scripts/gdadevscripts/developertools/checkScannableNames.py

6a7b8fee428d3ee3fc6cd6a66c7d043b002d7436

[]

no_license

openGDA/gda-core

21296e4106d71d6ad8c0d4174a53890ea5d9ad42

c6450c22d2094f40ca3015547c60fbf644173a4c

refs/heads/master

2023-08-22T15:05:40.149955

2023-08-22T10:06:42

121,757,680

4

3

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UTF-8

Python

false

391

py

# Run this module to show scannables whose (internal) name differs from their (external) label from gda.device import Scannable print "The following scannables have labels (for typing) different than names(that go into files)" print "Label\tName" for label in dir(): if (isinstance(eval(label),Scannable)): name = eval(label).getName() if label!=name: print label + "\t : " + name

[ "dag-group@diamond.ac.uk" ]

dag-group@diamond.ac.uk

1ce7b292f89fdf3f978c75d4cdf65b6991f71d6f

97783faf89c5a6bcf08a973f7badfd1aa0f082ff

/dividas/core/migrations/0002_auto_20190505_1541.py

b1415b6ee32fa4a3c0d0eb9ff1b41ac07475f96b

[]

no_license

ferpavanello/dividas

3ad6d2a40e84ee09d9c99e4e1dd5e1a6414bb56c

45b7e20a6112caece0716e8b6d74e8a0472abef8

refs/heads/master

2020-05-19T04:52:34.654474

2019-05-08T22:03:10

184,836,107

0

null

UTF-8

Python

false

530

py

# Generated by Django 2.2.1 on 2019-05-05 18:41 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('core', '0001_initial'), ] operations = [ migrations.AlterField( model_name='divida', name='id_cliente', field=models.CharField(max_length=10), ), migrations.AlterField( model_name='divida', name='motivo', field=models.CharField(max_length=100), ), ]

[ "fernando.pavanello2@gmail.com" ]

fernando.pavanello2@gmail.com

43e4d7566012da28db99d4f14321792b9235fc91

5065da00ee57c7ab841b8b9cc70e109c5f015ee9

/kafka_stream/dwd_news_yq/finance_news_spider/all_news_spider/news_spider/spiders/caijing_163_hongguan.py

6c555176c44f73fae7ea19bd3d16bc0c3593a97d

[]

no_license

wgq1134711420/shiye_kf3

a0edd79a869988001d11b6bb25907c9c1bf3fbe1

645f8ed9c8dda5c4df20a2231f6619f62e7a00de

refs/heads/master

2023-01-29T16:57:14.243158

2020-12-14T06:08:08

321,212,262

0

null

UTF-8

Python

false

6,510

py

# -*- coding: utf-8 -*- import scrapy from scrapy_redis.spiders import RedisSpider import os import sys import htmlparser from urllib.parse import urljoin import json from scrapy.utils.request import request_fingerprint import redis import re import time import datetime from spider_util.utils.util import add_uuid, local_timestamp from spider_util.utils.download_util import dow_img_acc, parse_main from scrapy.conf import settings class MySpider(RedisSpider): name = 'caijing_163_hongguan' allowed_domains = ['money.163.com'] ori_path = settings.get('ORI_PATH') encoding = "gbk" start_urls = [ "http://money.163.com/special/00252G50/macro.html" ] headers = { 'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:55.0) Gecko/20100101 Firefox/55.0' } def start_requests(self): for url in self.start_urls: yield scrapy.Request(url, callback=self.parse, headers=self.headers, dont_filter=True) def parse(self, response): start_url = response.url try: data = htmlparser.Parser(response.body.decode(self.encoding)) except Exception as e: print('response failed %s' % e) return org_list = data.xpathall('''//div[@class="list_item clearfix"]''') # for org in org_list[:5]: for org in org_list: if org: title = org.xpath('''//h2/a/text()''').text().strip() ctime = org.xpath('''//span[@class="time"]''').regex('(\d+-\d+-\d+ \d+:\d+:\d+)').text().strip() c_time = ctime org_url = org.xpath('''//h2/a/@href''').text().strip() if title: url = urljoin(start_url,org_url) print(url) ctime = local_timestamp(ctime) item = {'ctime': ctime, 'title': title} print(item) yield scrapy.Request(url, callback=self.detail_parse, meta={'item': item,"c_time":c_time}, headers=self.headers, dont_filter=True) def detail_parse(self, response): item = response.meta['item'] try: data = htmlparser.Parser(response.body.decode(self.encoding)) except Exception as e: print('second response failed %s' % e) return url = response.url contents = [] # 全部的文本内容 content_list = data.xpathall('''//div[@id="endText"]//p//text()''') for con in content_list: con = con.text().strip() if con: contents.append(con) content_x = data.xpath('''//div[@id="endText"]''').data content_xml = content_x label = {} img_list = data.xpathall('''//div[@id="endText"]//p/img''') if img_list: for count, image in enumerate(img_list): image_dict = {} image_url = image.xpath('//@src').text().strip() if image_url: image_url = urljoin(url, image_url) node = '#image{}#'.format(count) file_name = image_url.split('/')[-1].split('.')[0] image_dict['url'] = image_url image_dict['name'] = '' image_dict['file_name'] = file_name label[node] = image_dict table_list = data.xpathall('''//div[@id="endText"]//table''') if table_list: for count, table in enumerate(table_list): table_dict = {} node = "#table{}#".format(count) table_sele = table.data table_dict['table_xml'] = table_sele node_p = "<p>" + node + "</p>" content_x = content_x.replace(table_sele, node_p) label[node] = table_dict xml = htmlparser.Parser(content_x) web_contents = [] # web直接展示的content(表格替换成node) content_list = xml.xpathall('''//p''') for con in content_list: con = con.text().strip() if con: web_contents.append(con) breadcrumb = [ "首页", "网易财经", "宏观新闻" ] article_info = {} channel = '宏观新闻' accessory = [] # 附件 # all_acc = data.xpathall('''//div[@class="ewb-info-con"]//a''') # if all_acc: # for acc in all_acc: # temp = {} # acc_url = acc.xpath('//@href').text().strip() # if acc_url and '@' not in acc_url: # acc_url = urljoin(url, acc_url) # name = acc.text().strip() # file_name = acc_url.split('/')[-1].split('=')[-1] # temp['url'] = acc_url # temp['name'] = name # temp['file_name'] = file_name # dir_path = os.path.join(self.ori_path, self.dir_name) # if not os.path.isdir(dir_path): # os.makedirs(dir_path) # path = os.path.join(dir_path, file_name) # dow_img_acc(path, acc_url) # # file_content = parse_main(path) # temp['file_content'] = '' # file_content # accessory.append(temp) gtime = int(time.time()) main_business = '' source = data.xpath('''//a[@id='ne_article_source']''').text().strip() webname = '网易财经' domain = self.allowed_domains[0] uid = add_uuid(url) item["collection_name"] = "news_finance_163_raw" # 集合名 item["url"] = url # 链接 item["uid"] = uid # 去重id item["contents"] = contents # 数据处理的内容 item["web_contents"] = web_contents # 前端使用的内容 item["article_info"] = article_info # 文章的相关信息 item["label"] = label # 图片、表格 item["accessory"] = accessory # 附件 item["gtime"] = gtime # 爬虫时间 item['breadcrumb'] = breadcrumb # 导航 item['channel'] = channel # 频道 item["spider_name"] = self.name # 爬虫名 item["webname"] = webname # 网站名 item["domain"] = domain # 域名 item["source"] = source # 来源 item["main_business"] = main_business # 相关行业 item['path'] = '' # 附件路径 yield item

[ "wgq1134711420@163.com" ]

wgq1134711420@163.com

1b6cdec612f24ad9c488251181f7819734ff2bd0

b5550fc728b23cb5890fd58ccc5e1668548dc4e3

/tests/compute/test_resource_tracker.py

c0b0a42e2eaf7f3d5a7a410a7add4254da4501f5

[]

no_license

bopopescu/nova-24

0de13f078cf7a2b845cf01e613aaca2d3ae6104c

3247a7199932abf9718fb3260db23e9e40013731

refs/heads/master

2022-11-20T00:48:53.224075

2016-12-22T09:09:57

282,140,423

0

null

2020-07-24T06:24:14

2020-07-24T06:24:13

null

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61,934

py

#coding:utf-8 # Copyright (c) 2012 OpenStack Foundation # 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. """Tests for compute resource tracking.""" import uuid import mock from oslo.config import cfg from nova.compute import flavors from nova.compute import resource_tracker from nova.compute import resources from nova.compute import task_states from nova.compute import vm_states from nova import context from nova import db from nova import objects from nova.objects import base as obj_base from nova.openstack.common import jsonutils from nova.openstack.common import timeutils from nova import rpc from nova import test from nova.tests.compute.monitors import test_monitors from nova.tests.objects import test_migration from nova.tests.pci import pci_fakes from nova.virt import driver from nova.virt import hardware FAKE_VIRT_MEMORY_MB = 5 FAKE_VIRT_MEMORY_OVERHEAD = 1 FAKE_VIRT_MEMORY_WITH_OVERHEAD = ( FAKE_VIRT_MEMORY_MB + FAKE_VIRT_MEMORY_OVERHEAD) FAKE_VIRT_NUMA_TOPOLOGY = hardware.VirtNUMAHostTopology( cells=[hardware.VirtNUMATopologyCellUsage(0, set([1, 2]), 3072), hardware.VirtNUMATopologyCellUsage(1, set([3, 4]), 3072)]) FAKE_VIRT_NUMA_TOPOLOGY_OVERHEAD = hardware.VirtNUMALimitTopology( cells=[hardware.VirtNUMATopologyCellLimit( 0, set([1, 2]), 3072, 4, 10240), hardware.VirtNUMATopologyCellLimit( 1, set([3, 4]), 3072, 4, 10240)]) ROOT_GB = 5 EPHEMERAL_GB = 1 FAKE_VIRT_LOCAL_GB = ROOT_GB + EPHEMERAL_GB FAKE_VIRT_VCPUS = 1 FAKE_VIRT_STATS = {'virt_stat': 10} FAKE_VIRT_STATS_JSON = jsonutils.dumps(FAKE_VIRT_STATS) RESOURCE_NAMES = ['vcpu'] CONF = cfg.CONF class UnsupportedVirtDriver(driver.ComputeDriver): """Pretend version of a lame virt driver.""" def __init__(self): super(UnsupportedVirtDriver, self).__init__(None) def get_host_ip_addr(self): return '127.0.0.1' def get_available_resource(self, nodename): # no support for getting resource usage info return {} class FakeVirtDriver(driver.ComputeDriver): def __init__(self, pci_support=False, stats=None, numa_topology=FAKE_VIRT_NUMA_TOPOLOGY): super(FakeVirtDriver, self).__init__(None) self.memory_mb = FAKE_VIRT_MEMORY_MB self.local_gb = FAKE_VIRT_LOCAL_GB self.vcpus = FAKE_VIRT_VCPUS self.numa_topology = numa_topology self.memory_mb_used = 0 self.local_gb_used = 0 self.pci_support = pci_support self.pci_devices = [{ 'label': 'forza-napoli', 'dev_type': 'foo', 'compute_node_id': 1, 'address': '0000:00:00.1', 'product_id': 'p1', 'vendor_id': 'v1', 'status': 'available', 'extra_k1': 'v1'}] if self.pci_support else [] self.pci_stats = [{ 'count': 1, 'vendor_id': 'v1', 'product_id': 'p1'}] if self.pci_support else [] if stats is not None: self.stats = stats def get_host_ip_addr(self): return '127.0.0.1' def get_available_resource(self, nodename): d = { 'vcpus': self.vcpus, 'memory_mb': self.memory_mb, 'local_gb': self.local_gb, 'vcpus_used': 0, 'memory_mb_used': self.memory_mb_used, 'local_gb_used': self.local_gb_used, 'hypervisor_type': 'fake', 'hypervisor_version': 0, 'hypervisor_hostname': 'fakehost', 'cpu_info': '', 'numa_topology': ( self.numa_topology.to_json() if self.numa_topology else None), } if self.pci_support: d['pci_passthrough_devices'] = jsonutils.dumps(self.pci_devices) if hasattr(self, 'stats'): d['stats'] = self.stats return d def estimate_instance_overhead(self, instance_info): instance_info['memory_mb'] # make sure memory value is present overhead = { 'memory_mb': FAKE_VIRT_MEMORY_OVERHEAD } return overhead # just return a constant value for testing class BaseTestCase(test.TestCase): def setUp(self): super(BaseTestCase, self).setUp() self.flags(reserved_host_disk_mb=0, reserved_host_memory_mb=0) self.context = context.get_admin_context() self.flags(use_local=True, group='conductor') self.conductor = self.start_service('conductor', manager=CONF.conductor.manager) self._instances = {} self._numa_topologies = {} self._instance_types = {} self.stubs.Set(self.conductor.db, 'instance_get_all_by_host_and_node', self._fake_instance_get_all_by_host_and_node) self.stubs.Set(db, 'instance_extra_get_by_instance_uuid', self._fake_instance_extra_get_by_instance_uuid) self.stubs.Set(self.conductor.db, 'instance_update_and_get_original', self._fake_instance_update_and_get_original) self.stubs.Set(self.conductor.db, 'flavor_get', self._fake_flavor_get) self.host = 'fakehost' self.compute = self._create_compute_node() self.updated = False self.deleted = False self.update_call_count = 0 def _create_compute_node(self, values=None): compute = { "id": 1, "service_id": 1, "vcpus": 1, "memory_mb": 1, "local_gb": 1, "vcpus_used": 1, "memory_mb_used": 1, "local_gb_used": 1, "free_ram_mb": 1, "free_disk_gb": 1, "current_workload": 1, "running_vms": 0, "cpu_info": None, "numa_topology": None, "stats": { "num_instances": "1", }, "hypervisor_hostname": "fakenode", } if values: compute.update(values) return compute def _create_service(self, host="fakehost", compute=None): if compute: compute = [compute] service = { "id": 1, "host": host, "binary": "nova-compute", "topic": "compute", "compute_node": compute, } return service def _fake_instance_system_metadata(self, instance_type, prefix=''): sys_meta = [] for key in flavors.system_metadata_flavor_props.keys(): sys_meta.append({'key': '%sinstance_type_%s' % (prefix, key), 'value': instance_type[key]}) return sys_meta def _fake_instance(self, stash=True, flavor=None, **kwargs): # Default to an instance ready to resize to or from the same # instance_type flavor = flavor or self._fake_flavor_create() sys_meta = self._fake_instance_system_metadata(flavor) if stash: # stash instance types in system metadata. sys_meta = (sys_meta + self._fake_instance_system_metadata(flavor, 'new_') + self._fake_instance_system_metadata(flavor, 'old_')) instance_uuid = str(uuid.uuid1()) instance = { 'uuid': instance_uuid, 'vm_state': vm_states.RESIZED, 'task_state': None, 'ephemeral_key_uuid': None, 'os_type': 'Linux', 'project_id': '123456', 'host': None, 'node': None, 'instance_type_id': flavor['id'], 'memory_mb': flavor['memory_mb'], 'vcpus': flavor['vcpus'], 'root_gb': flavor['root_gb'], 'ephemeral_gb': flavor['ephemeral_gb'], 'launched_on': None, 'system_metadata': sys_meta, 'availability_zone': None, 'vm_mode': None, 'reservation_id': None, 'display_name': None, 'default_swap_device': None, 'power_state': None, 'scheduled_at': None, 'access_ip_v6': None, 'access_ip_v4': None, 'key_name': None, 'updated_at': None, 'cell_name': None, 'locked': None, 'locked_by': None, 'launch_index': None, 'architecture': None, 'auto_disk_config': None, 'terminated_at': None, 'ramdisk_id': None, 'user_data': None, 'cleaned': None, 'deleted_at': None, 'id': 333, 'disable_terminate': None, 'hostname': None, 'display_description': None, 'key_data': None, 'deleted': None, 'default_ephemeral_device': None, 'progress': None, 'launched_at': None, 'config_drive': None, 'kernel_id': None, 'user_id': None, 'shutdown_terminate': None, 'created_at': None, 'image_ref': None, 'root_device_name': None, } numa_topology = kwargs.pop('numa_topology', None) if numa_topology: numa_topology = { 'id': 1, 'created_at': None, 'updated_at': None, 'deleted_at': None, 'deleted': None, 'instance_uuid': instance['uuid'], 'numa_topology': numa_topology.to_json() } instance.update(kwargs) self._instances[instance_uuid] = instance self._numa_topologies[instance_uuid] = numa_topology return instance def _fake_flavor_create(self, **kwargs): instance_type = { 'id': 1, 'created_at': None, 'updated_at': None, 'deleted_at': None, 'deleted': False, 'disabled': False, 'is_public': True, 'name': 'fakeitype', 'memory_mb': FAKE_VIRT_MEMORY_MB, 'vcpus': FAKE_VIRT_VCPUS, 'root_gb': ROOT_GB, 'ephemeral_gb': EPHEMERAL_GB, 'swap': 0, 'rxtx_factor': 1.0, 'vcpu_weight': 1, 'flavorid': 'fakeflavor', 'extra_specs': {}, } instance_type.update(**kwargs) id_ = instance_type['id'] self._instance_types[id_] = instance_type return instance_type def _fake_instance_get_all_by_host_and_node(self, context, host, nodename): return [i for i in self._instances.values() if i['host'] == host] def _fake_instance_extra_get_by_instance_uuid(self, context, instance_uuid): return self._numa_topologies.get(instance_uuid) def _fake_flavor_get(self, ctxt, id_): return self._instance_types[id_] def _fake_instance_update_and_get_original(self, context, instance_uuid, values): instance = self._instances[instance_uuid] instance.update(values) # the test doesn't care what the original instance values are, it's # only used in the subsequent notification: return (instance, instance) def _fake_compute_node_update(self, ctx, compute_node_id, values, prune_stats=False): self.update_call_count += 1 self.updated = True self.compute.update(values) return self.compute def _driver(self): return FakeVirtDriver() def _tracker(self, host=None): if host is None: host = self.host node = "fakenode" driver = self._driver() tracker = resource_tracker.ResourceTracker(host, driver, node) tracker.compute_node = self._create_compute_node() tracker.ext_resources_handler = \ resources.ResourceHandler(RESOURCE_NAMES, True) return tracker class UnsupportedDriverTestCase(BaseTestCase): """Resource tracking should be disabled when the virt driver doesn't support it. """ def setUp(self): super(UnsupportedDriverTestCase, self).setUp() self.tracker = self._tracker() # seed tracker with data: self.tracker.update_available_resource(self.context) def _driver(self): return UnsupportedVirtDriver() def test_disabled(self): # disabled = no compute node stats self.assertTrue(self.tracker.disabled) self.assertIsNone(self.tracker.compute_node) def test_disabled_claim(self): # basic claim: instance = self._fake_instance() claim = self.tracker.instance_claim(self.context, instance) self.assertEqual(0, claim.memory_mb) def test_disabled_instance_claim(self): # instance variation: instance = self._fake_instance() claim = self.tracker.instance_claim(self.context, instance) self.assertEqual(0, claim.memory_mb) def test_disabled_instance_context_claim(self): # instance context manager variation: instance = self._fake_instance() claim = self.tracker.instance_claim(self.context, instance) with self.tracker.instance_claim(self.context, instance) as claim: self.assertEqual(0, claim.memory_mb) def test_disabled_updated_usage(self): instance = self._fake_instance(host='fakehost', memory_mb=5, root_gb=10) self.tracker.update_usage(self.context, instance) def test_disabled_resize_claim(self): instance = self._fake_instance() instance_type = self._fake_flavor_create() claim = self.tracker.resize_claim(self.context, instance, instance_type) self.assertEqual(0, claim.memory_mb) self.assertEqual(instance['uuid'], claim.migration['instance_uuid']) self.assertEqual(instance_type['id'], claim.migration['new_instance_type_id']) def test_disabled_resize_context_claim(self): instance = self._fake_instance() instance_type = self._fake_flavor_create() with self.tracker.resize_claim(self.context, instance, instance_type) \ as claim: self.assertEqual(0, claim.memory_mb) class MissingServiceTestCase(BaseTestCase): def setUp(self): super(MissingServiceTestCase, self).setUp() self.context = context.get_admin_context() self.tracker = self._tracker() def test_missing_service(self): self.tracker.compute_node = None self.tracker._get_service = mock.Mock(return_value=None) self.tracker.update_available_resource(self.context) self.assertTrue(self.tracker.disabled) class MissingComputeNodeTestCase(BaseTestCase): def setUp(self): super(MissingComputeNodeTestCase, self).setUp() self.tracker = self._tracker() self.stubs.Set(db, 'service_get_by_compute_host', self._fake_service_get_by_compute_host) self.stubs.Set(db, 'compute_node_create', self._fake_create_compute_node) self.tracker.scheduler_client.update_resource_stats = mock.Mock() def _fake_create_compute_node(self, context, values): self.created = True return self._create_compute_node(values) def _fake_service_get_by_compute_host(self, ctx, host): # return a service with no joined compute service = self._create_service() return service def test_create_compute_node(self): self.tracker.compute_node = None self.tracker.update_available_resource(self.context) self.assertTrue(self.created) def test_enabled(self): self.tracker.update_available_resource(self.context) self.assertFalse(self.tracker.disabled) class BaseTrackerTestCase(BaseTestCase): def setUp(self): # setup plumbing for a working resource tracker with required # database models and a compatible compute driver: super(BaseTrackerTestCase, self).setUp() self.tracker = self._tracker() self._migrations = {} self.stubs.Set(db, 'service_get_by_compute_host', self._fake_service_get_by_compute_host) self.stubs.Set(db, 'compute_node_update', self._fake_compute_node_update) self.stubs.Set(db, 'compute_node_delete', self._fake_compute_node_delete) self.stubs.Set(db, 'migration_update', self._fake_migration_update) self.stubs.Set(db, 'migration_get_in_progress_by_host_and_node', self._fake_migration_get_in_progress_by_host_and_node) # Note that this must be called before the call to _init_tracker() patcher = pci_fakes.fake_pci_whitelist() self.addCleanup(patcher.stop) self.stubs.Set(self.tracker.scheduler_client, 'update_resource_stats', self._fake_compute_node_update) self._init_tracker() self.limits = self._limits() def _fake_service_get_by_compute_host(self, ctx, host): self.service = self._create_service(host, compute=self.compute) return self.service def _fake_compute_node_update(self, ctx, compute_node_id, values, prune_stats=False): self.update_call_count += 1 self.updated = True self.compute.update(values) return self.compute def _fake_compute_node_delete(self, ctx, compute_node_id): self.deleted = True self.compute.update({'deleted': 1}) return self.compute def _fake_migration_get_in_progress_by_host_and_node(self, ctxt, host, node): status = ['confirmed', 'reverted', 'error'] migrations = [] for migration in self._migrations.values(): migration = obj_base.obj_to_primitive(migration) if migration['status'] in status: continue uuid = migration['instance_uuid'] migration['instance'] = self._instances[uuid] migrations.append(migration) return migrations def _fake_migration_update(self, ctxt, migration_id, values): # cheat and assume there's only 1 migration present migration = self._migrations.values()[0] migration.update(values) return migration def _init_tracker(self): self.tracker.update_available_resource(self.context) def _limits(self, memory_mb=FAKE_VIRT_MEMORY_WITH_OVERHEAD, disk_gb=FAKE_VIRT_LOCAL_GB, vcpus=FAKE_VIRT_VCPUS, numa_topology=FAKE_VIRT_NUMA_TOPOLOGY_OVERHEAD): """Create limits dictionary used for oversubscribing resources.""" return { 'memory_mb': memory_mb, 'disk_gb': disk_gb, 'vcpu': vcpus, 'numa_topology': numa_topology.to_json() if numa_topology else None } def assertEqualNUMAHostTopology(self, expected, got): attrs = ('cpuset', 'memory', 'id', 'cpu_usage', 'memory_usage') if None in (expected, got): if expected != got: raise AssertionError("Topologies don't match. Expected: " "%(expected)s, but got: %(got)s" % {'expected': expected, 'got': got}) else: return if len(expected) != len(got): raise AssertionError("Topologies don't match due to different " "number of cells. Expected: " "%(expected)s, but got: %(got)s" % {'expected': expected, 'got': got}) for exp_cell, got_cell in zip(expected.cells, got.cells): for attr in attrs: if getattr(exp_cell, attr) != getattr(got_cell, attr): raise AssertionError("Topologies don't match. Expected: " "%(expected)s, but got: %(got)s" % {'expected': expected, 'got': got}) def _assert(self, value, field, tracker=None): if tracker is None: tracker = self.tracker if field not in tracker.compute_node: raise test.TestingException( "'%(field)s' not in compute node." % {'field': field}) x = tracker.compute_node[field] if field == 'numa_topology': self.assertEqualNUMAHostTopology( value, hardware.VirtNUMAHostTopology.from_json(x)) else: self.assertEqual(value, x) class TrackerTestCase(BaseTrackerTestCase): def test_free_ram_resource_value(self): driver = FakeVirtDriver() mem_free = driver.memory_mb - driver.memory_mb_used self.assertEqual(mem_free, self.tracker.compute_node['free_ram_mb']) def test_free_disk_resource_value(self): driver = FakeVirtDriver() mem_free = driver.local_gb - driver.local_gb_used self.assertEqual(mem_free, self.tracker.compute_node['free_disk_gb']) def test_update_compute_node(self): self.assertFalse(self.tracker.disabled) self.assertTrue(self.updated) def test_init(self): driver = self._driver() self._assert(FAKE_VIRT_MEMORY_MB, 'memory_mb') self._assert(FAKE_VIRT_LOCAL_GB, 'local_gb') self._assert(FAKE_VIRT_VCPUS, 'vcpus') self._assert(FAKE_VIRT_NUMA_TOPOLOGY, 'numa_topology') self._assert(0, 'memory_mb_used') self._assert(0, 'local_gb_used') self._assert(0, 'vcpus_used') self._assert(0, 'running_vms') self._assert(FAKE_VIRT_MEMORY_MB, 'free_ram_mb') self._assert(FAKE_VIRT_LOCAL_GB, 'free_disk_gb') self.assertFalse(self.tracker.disabled) self.assertEqual(0, self.tracker.compute_node['current_workload']) self.assertEqual(driver.pci_stats, jsonutils.loads(self.tracker.compute_node['pci_stats'])) class SchedulerClientTrackerTestCase(BaseTrackerTestCase): def setUp(self): super(SchedulerClientTrackerTestCase, self).setUp() self.tracker.scheduler_client.update_resource_stats = mock.Mock( side_effect=self._fake_compute_node_update) def test_update_resource(self): self.tracker._write_ext_resources = mock.Mock() values = {'stats': {}, 'foo': 'bar', 'baz_count': 0} self.tracker._update(self.context, values) expected = {'stats': '{}', 'foo': 'bar', 'baz_count': 0, 'id': 1} self.tracker.scheduler_client.update_resource_stats.\ assert_called_once_with(self.context, ("fakehost", "fakenode"), expected) class TrackerPciStatsTestCase(BaseTrackerTestCase): def test_update_compute_node(self): self.assertFalse(self.tracker.disabled) self.assertTrue(self.updated) def test_init(self): driver = self._driver() self._assert(FAKE_VIRT_MEMORY_MB, 'memory_mb') self._assert(FAKE_VIRT_LOCAL_GB, 'local_gb') self._assert(FAKE_VIRT_VCPUS, 'vcpus') self._assert(FAKE_VIRT_NUMA_TOPOLOGY, 'numa_topology') self._assert(0, 'memory_mb_used') self._assert(0, 'local_gb_used') self._assert(0, 'vcpus_used') self._assert(0, 'running_vms') self._assert(FAKE_VIRT_MEMORY_MB, 'free_ram_mb') self._assert(FAKE_VIRT_LOCAL_GB, 'free_disk_gb') self.assertFalse(self.tracker.disabled) self.assertEqual(0, self.tracker.compute_node['current_workload']) self.assertEqual(driver.pci_stats, jsonutils.loads(self.tracker.compute_node['pci_stats'])) def _driver(self): return FakeVirtDriver(pci_support=True) class TrackerExtraResourcesTestCase(BaseTrackerTestCase): def setUp(self): super(TrackerExtraResourcesTestCase, self).setUp() self.driver = self._driver() def _driver(self): return FakeVirtDriver() def test_set_empty_ext_resources(self): resources = self.driver.get_available_resource(self.tracker.nodename) self.assertNotIn('stats', resources) self.tracker._write_ext_resources(resources) self.assertIn('stats', resources) def test_set_extra_resources(self): def fake_write_resources(resources): resources['stats']['resA'] = '123' resources['stats']['resB'] = 12 self.stubs.Set(self.tracker.ext_resources_handler, 'write_resources', fake_write_resources) resources = self.driver.get_available_resource(self.tracker.nodename) self.tracker._write_ext_resources(resources) expected = {"resA": "123", "resB": 12} self.assertEqual(sorted(expected), sorted(resources['stats'])) class InstanceClaimTestCase(BaseTrackerTestCase): def _instance_topology(self, mem): mem = mem * 1024 return hardware.VirtNUMAInstanceTopology( cells=[hardware.VirtNUMATopologyCell(0, set([1]), mem), hardware.VirtNUMATopologyCell(1, set([3]), mem)]) def _claim_topology(self, mem, cpus=1): if self.tracker.driver.numa_topology is None: return None mem = mem * 1024 return hardware.VirtNUMAHostTopology( cells=[hardware.VirtNUMATopologyCellUsage( 0, set([1, 2]), 3072, cpu_usage=cpus, memory_usage=mem), hardware.VirtNUMATopologyCellUsage( 1, set([3, 4]), 3072, cpu_usage=cpus, memory_usage=mem)]) @mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid', return_value=objects.InstancePCIRequests(requests=[])) def test_update_usage_only_for_tracked(self, mock_get): flavor = self._fake_flavor_create() claim_mem = flavor['memory_mb'] + FAKE_VIRT_MEMORY_OVERHEAD claim_gb = flavor['root_gb'] + flavor['ephemeral_gb'] claim_topology = self._claim_topology(claim_mem / 2) instance_topology = self._instance_topology(claim_mem / 2) instance = self._fake_instance( flavor=flavor, task_state=None, numa_topology=instance_topology) self.tracker.update_usage(self.context, instance) self._assert(0, 'memory_mb_used') self._assert(0, 'local_gb_used') self._assert(0, 'current_workload') self._assert(FAKE_VIRT_NUMA_TOPOLOGY, 'numa_topology') claim = self.tracker.instance_claim(self.context, instance, self.limits) self.assertNotEqual(0, claim.memory_mb) self._assert(claim_mem, 'memory_mb_used') self._assert(claim_gb, 'local_gb_used') self._assert(claim_topology, 'numa_topology') # now update should actually take effect instance['task_state'] = task_states.SCHEDULING self.tracker.update_usage(self.context, instance) self._assert(claim_mem, 'memory_mb_used') self._assert(claim_gb, 'local_gb_used') self._assert(claim_topology, 'numa_topology') self._assert(1, 'current_workload') @mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid', return_value=objects.InstancePCIRequests(requests=[])) def test_claim_and_audit(self, mock_get): claim_mem = 3 claim_mem_total = 3 + FAKE_VIRT_MEMORY_OVERHEAD claim_disk = 2 claim_topology = self._claim_topology(claim_mem_total / 2) instance_topology = self._instance_topology(claim_mem_total / 2) instance = self._fake_instance(memory_mb=claim_mem, root_gb=claim_disk, ephemeral_gb=0, numa_topology=instance_topology) self.tracker.instance_claim(self.context, instance, self.limits) self.assertEqual(FAKE_VIRT_MEMORY_MB, self.compute["memory_mb"]) self.assertEqual(claim_mem_total, self.compute["memory_mb_used"]) self.assertEqual(FAKE_VIRT_MEMORY_MB - claim_mem_total, self.compute["free_ram_mb"]) self.assertEqualNUMAHostTopology( claim_topology, hardware.VirtNUMAHostTopology.from_json( self.compute['numa_topology'])) self.assertEqual(FAKE_VIRT_LOCAL_GB, self.compute["local_gb"]) self.assertEqual(claim_disk, self.compute["local_gb_used"]) self.assertEqual(FAKE_VIRT_LOCAL_GB - claim_disk, self.compute["free_disk_gb"]) # 1st pretend that the compute operation finished and claimed the # desired resources from the virt layer driver = self.tracker.driver driver.memory_mb_used = claim_mem driver.local_gb_used = claim_disk self.tracker.update_available_resource(self.context) # confirm tracker is adding in host_ip self.assertIsNotNone(self.compute.get('host_ip')) # confirm that resource usage is derived from instance usages, # not virt layer: self.assertEqual(claim_mem_total, self.compute['memory_mb_used']) self.assertEqual(FAKE_VIRT_MEMORY_MB - claim_mem_total, self.compute['free_ram_mb']) self.assertEqualNUMAHostTopology( claim_topology, hardware.VirtNUMAHostTopology.from_json( self.compute['numa_topology'])) self.assertEqual(claim_disk, self.compute['local_gb_used']) self.assertEqual(FAKE_VIRT_LOCAL_GB - claim_disk, self.compute['free_disk_gb']) @mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid', return_value=objects.InstancePCIRequests(requests=[])) def test_claim_and_abort(self, mock_get): claim_mem = 3 claim_mem_total = 3 + FAKE_VIRT_MEMORY_OVERHEAD claim_disk = 2 claim_topology = self._claim_topology(claim_mem_total / 2) instance_topology = self._instance_topology(claim_mem_total / 2) instance = self._fake_instance(memory_mb=claim_mem, root_gb=claim_disk, ephemeral_gb=0, numa_topology=instance_topology) claim = self.tracker.instance_claim(self.context, instance, self.limits) self.assertIsNotNone(claim) self.assertEqual(claim_mem_total, self.compute["memory_mb_used"]) self.assertEqual(FAKE_VIRT_MEMORY_MB - claim_mem_total, self.compute["free_ram_mb"]) self.assertEqualNUMAHostTopology( claim_topology, hardware.VirtNUMAHostTopology.from_json( self.compute['numa_topology'])) self.assertEqual(claim_disk, self.compute["local_gb_used"]) self.assertEqual(FAKE_VIRT_LOCAL_GB - claim_disk, self.compute["free_disk_gb"]) claim.abort() self.assertEqual(0, self.compute["memory_mb_used"]) self.assertEqual(FAKE_VIRT_MEMORY_MB, self.compute["free_ram_mb"]) self.assertEqualNUMAHostTopology( FAKE_VIRT_NUMA_TOPOLOGY, hardware.VirtNUMAHostTopology.from_json( self.compute['numa_topology'])) self.assertEqual(0, self.compute["local_gb_used"]) self.assertEqual(FAKE_VIRT_LOCAL_GB, self.compute["free_disk_gb"]) @mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid', return_value=objects.InstancePCIRequests(requests=[])) def test_instance_claim_with_oversubscription(self, mock_get): memory_mb = FAKE_VIRT_MEMORY_MB * 2 root_gb = ephemeral_gb = FAKE_VIRT_LOCAL_GB vcpus = FAKE_VIRT_VCPUS * 2 claim_topology = self._claim_topology(3) instance_topology = self._instance_topology(3) limits = {'memory_mb': memory_mb + FAKE_VIRT_MEMORY_OVERHEAD, 'disk_gb': root_gb * 2, 'vcpu': vcpus, 'numa_topology': FAKE_VIRT_NUMA_TOPOLOGY_OVERHEAD.to_json()} instance = self._fake_instance(memory_mb=memory_mb, root_gb=root_gb, ephemeral_gb=ephemeral_gb, numa_topology=instance_topology) self.tracker.instance_claim(self.context, instance, limits) self.assertEqual(memory_mb + FAKE_VIRT_MEMORY_OVERHEAD, self.tracker.compute_node['memory_mb_used']) self.assertEqualNUMAHostTopology( claim_topology, hardware.VirtNUMAHostTopology.from_json( self.compute['numa_topology'])) self.assertEqual(root_gb * 2, self.tracker.compute_node['local_gb_used']) @mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid', return_value=objects.InstancePCIRequests(requests=[])) def test_additive_claims(self, mock_get): self.limits['vcpu'] = 2 claim_topology = self._claim_topology(2, cpus=2) flavor = self._fake_flavor_create( memory_mb=1, root_gb=1, ephemeral_gb=0) instance_topology = self._instance_topology(1) instance = self._fake_instance( flavor=flavor, numa_topology=instance_topology) with self.tracker.instance_claim(self.context, instance, self.limits): pass instance = self._fake_instance( flavor=flavor, numa_topology=instance_topology) with self.tracker.instance_claim(self.context, instance, self.limits): pass self.assertEqual(2 * (flavor['memory_mb'] + FAKE_VIRT_MEMORY_OVERHEAD), self.tracker.compute_node['memory_mb_used']) self.assertEqual(2 * (flavor['root_gb'] + flavor['ephemeral_gb']), self.tracker.compute_node['local_gb_used']) self.assertEqual(2 * flavor['vcpus'], self.tracker.compute_node['vcpus_used']) self.assertEqualNUMAHostTopology( claim_topology, hardware.VirtNUMAHostTopology.from_json( self.compute['numa_topology'])) @mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid', return_value=objects.InstancePCIRequests(requests=[])) def test_context_claim_with_exception(self, mock_get): instance = self._fake_instance(memory_mb=1, root_gb=1, ephemeral_gb=1) try: with self.tracker.instance_claim(self.context, instance): # <insert exciting things that utilize resources> raise test.TestingException() except test.TestingException: pass self.assertEqual(0, self.tracker.compute_node['memory_mb_used']) self.assertEqual(0, self.tracker.compute_node['local_gb_used']) self.assertEqual(0, self.compute['memory_mb_used']) self.assertEqual(0, self.compute['local_gb_used']) self.assertEqualNUMAHostTopology( FAKE_VIRT_NUMA_TOPOLOGY, hardware.VirtNUMAHostTopology.from_json( self.compute['numa_topology'])) @mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid', return_value=objects.InstancePCIRequests(requests=[])) def test_instance_context_claim(self, mock_get): flavor = self._fake_flavor_create( memory_mb=1, root_gb=2, ephemeral_gb=3) claim_topology = self._claim_topology(1) instance_topology = self._instance_topology(1) instance = self._fake_instance( flavor=flavor, numa_topology=instance_topology) with self.tracker.instance_claim(self.context, instance): # <insert exciting things that utilize resources> self.assertEqual(flavor['memory_mb'] + FAKE_VIRT_MEMORY_OVERHEAD, self.tracker.compute_node['memory_mb_used']) self.assertEqual(flavor['root_gb'] + flavor['ephemeral_gb'], self.tracker.compute_node['local_gb_used']) self.assertEqual(flavor['memory_mb'] + FAKE_VIRT_MEMORY_OVERHEAD, self.compute['memory_mb_used']) self.assertEqualNUMAHostTopology( claim_topology, hardware.VirtNUMAHostTopology.from_json( self.compute['numa_topology'])) self.assertEqual(flavor['root_gb'] + flavor['ephemeral_gb'], self.compute['local_gb_used']) # after exiting claim context, build is marked as finished. usage # totals should be same: self.tracker.update_available_resource(self.context) self.assertEqual(flavor['memory_mb'] + FAKE_VIRT_MEMORY_OVERHEAD, self.tracker.compute_node['memory_mb_used']) self.assertEqual(flavor['root_gb'] + flavor['ephemeral_gb'], self.tracker.compute_node['local_gb_used']) self.assertEqual(flavor['memory_mb'] + FAKE_VIRT_MEMORY_OVERHEAD, self.compute['memory_mb_used']) self.assertEqualNUMAHostTopology( claim_topology, hardware.VirtNUMAHostTopology.from_json( self.compute['numa_topology'])) self.assertEqual(flavor['root_gb'] + flavor['ephemeral_gb'], self.compute['local_gb_used']) @mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid', return_value=objects.InstancePCIRequests(requests=[])) def test_update_load_stats_for_instance(self, mock_get): instance = self._fake_instance(task_state=task_states.SCHEDULING) with self.tracker.instance_claim(self.context, instance): pass self.assertEqual(1, self.tracker.compute_node['current_workload']) instance['vm_state'] = vm_states.ACTIVE instance['task_state'] = None instance['host'] = 'fakehost' self.tracker.update_usage(self.context, instance) self.assertEqual(0, self.tracker.compute_node['current_workload']) @mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid', return_value=objects.InstancePCIRequests(requests=[])) def test_cpu_stats(self, mock_get): limits = {'disk_gb': 100, 'memory_mb': 100} self.assertEqual(0, self.tracker.compute_node['vcpus_used']) vcpus = 1 instance = self._fake_instance(vcpus=vcpus) # should not do anything until a claim is made: self.tracker.update_usage(self.context, instance) self.assertEqual(0, self.tracker.compute_node['vcpus_used']) with self.tracker.instance_claim(self.context, instance, limits): pass self.assertEqual(vcpus, self.tracker.compute_node['vcpus_used']) # instance state can change without modifying vcpus in use: instance['task_state'] = task_states.SCHEDULING self.tracker.update_usage(self.context, instance) self.assertEqual(vcpus, self.tracker.compute_node['vcpus_used']) add_vcpus = 10 vcpus += add_vcpus instance = self._fake_instance(vcpus=add_vcpus) with self.tracker.instance_claim(self.context, instance, limits): pass self.assertEqual(vcpus, self.tracker.compute_node['vcpus_used']) instance['vm_state'] = vm_states.DELETED self.tracker.update_usage(self.context, instance) vcpus -= add_vcpus self.assertEqual(vcpus, self.tracker.compute_node['vcpus_used']) def test_skip_deleted_instances(self): # ensure that the audit process skips instances that have vm_state # DELETED, but the DB record is not yet deleted. self._fake_instance(vm_state=vm_states.DELETED, host=self.host) self.tracker.update_available_resource(self.context) self.assertEqual(0, self.tracker.compute_node['memory_mb_used']) self.assertEqual(0, self.tracker.compute_node['local_gb_used']) class ResizeClaimTestCase(BaseTrackerTestCase): def setUp(self): super(ResizeClaimTestCase, self).setUp() def _fake_migration_create(mig_self, ctxt): self._migrations[mig_self.instance_uuid] = mig_self mig_self.obj_reset_changes() self.stubs.Set(objects.Migration, 'create', _fake_migration_create) self.instance = self._fake_instance() self.instance_type = self._fake_flavor_create() def _fake_migration_create(self, context, values=None): instance_uuid = str(uuid.uuid1()) mig_dict = test_migration.fake_db_migration() mig_dict.update({ 'id': 1, 'source_compute': 'host1', 'source_node': 'fakenode', 'dest_compute': 'host2', 'dest_node': 'fakenode', 'dest_host': '127.0.0.1', 'old_instance_type_id': 1, 'new_instance_type_id': 2, 'instance_uuid': instance_uuid, 'status': 'pre-migrating', 'updated_at': timeutils.utcnow() }) if values: mig_dict.update(values) migration = objects.Migration() migration.update(mig_dict) # This hits the stub in setUp() migration.create('fake') @mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid', return_value=objects.InstancePCIRequests(requests=[])) def test_claim(self, mock_get): self.tracker.resize_claim(self.context, self.instance, self.instance_type, self.limits) self._assert(FAKE_VIRT_MEMORY_WITH_OVERHEAD, 'memory_mb_used') self._assert(FAKE_VIRT_LOCAL_GB, 'local_gb_used') self._assert(FAKE_VIRT_VCPUS, 'vcpus_used') self.assertEqual(1, len(self.tracker.tracked_migrations)) @mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid', return_value=objects.InstancePCIRequests(requests=[])) def test_abort(self, mock_get): try: with self.tracker.resize_claim(self.context, self.instance, self.instance_type, self.limits): raise test.TestingException("abort") except test.TestingException: pass self._assert(0, 'memory_mb_used') self._assert(0, 'local_gb_used') self._assert(0, 'vcpus_used') self.assertEqual(0, len(self.tracker.tracked_migrations)) @mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid', return_value=objects.InstancePCIRequests(requests=[])) def test_additive_claims(self, mock_get): limits = self._limits( 2 * FAKE_VIRT_MEMORY_WITH_OVERHEAD, 2 * FAKE_VIRT_LOCAL_GB, 2 * FAKE_VIRT_VCPUS) self.tracker.resize_claim(self.context, self.instance, self.instance_type, limits) instance2 = self._fake_instance() self.tracker.resize_claim(self.context, instance2, self.instance_type, limits) self._assert(2 * FAKE_VIRT_MEMORY_WITH_OVERHEAD, 'memory_mb_used') self._assert(2 * FAKE_VIRT_LOCAL_GB, 'local_gb_used') self._assert(2 * FAKE_VIRT_VCPUS, 'vcpus_used') @mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid', return_value=objects.InstancePCIRequests(requests=[])) def test_claim_and_audit(self, mock_get): self.tracker.resize_claim(self.context, self.instance, self.instance_type, self.limits) self.tracker.update_available_resource(self.context) self._assert(FAKE_VIRT_MEMORY_WITH_OVERHEAD, 'memory_mb_used') self._assert(FAKE_VIRT_LOCAL_GB, 'local_gb_used') self._assert(FAKE_VIRT_VCPUS, 'vcpus_used') @mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid', return_value=objects.InstancePCIRequests(requests=[])) def test_same_host(self, mock_get): self.limits['vcpu'] = 3 src_dict = { 'memory_mb': 1, 'root_gb': 1, 'ephemeral_gb': 0, 'vcpus': 1} dest_dict = dict((k, v + 1) for (k, v) in src_dict.iteritems()) src_type = self._fake_flavor_create( id=10, name="srcflavor", **src_dict) dest_type = self._fake_flavor_create( id=11, name="destflavor", **dest_dict) # make an instance of src_type: instance = self._fake_instance(flavor=src_type) instance['system_metadata'] = self._fake_instance_system_metadata( dest_type) self.tracker.instance_claim(self.context, instance, self.limits) # resize to dest_type: claim = self.tracker.resize_claim(self.context, instance, dest_type, self.limits) self._assert(src_dict['memory_mb'] + dest_dict['memory_mb'] + 2 * FAKE_VIRT_MEMORY_OVERHEAD, 'memory_mb_used') self._assert(src_dict['root_gb'] + src_dict['ephemeral_gb'] + dest_dict['root_gb'] + dest_dict['ephemeral_gb'], 'local_gb_used') self._assert(src_dict['vcpus'] + dest_dict['vcpus'], 'vcpus_used') self.tracker.update_available_resource(self.context) claim.abort() # only the original instance should remain, not the migration: self._assert(src_dict['memory_mb'] + FAKE_VIRT_MEMORY_OVERHEAD, 'memory_mb_used') self._assert(src_dict['root_gb'] + src_dict['ephemeral_gb'], 'local_gb_used') self._assert(src_dict['vcpus'], 'vcpus_used') self.assertEqual(1, len(self.tracker.tracked_instances)) self.assertEqual(0, len(self.tracker.tracked_migrations)) @mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid', return_value=objects.InstancePCIRequests(requests=[])) def test_revert(self, mock_get): self.tracker.resize_claim(self.context, self.instance, self.instance_type, {}, self.limits) self.tracker.drop_resize_claim(self.context, self.instance) self.assertEqual(0, len(self.tracker.tracked_instances)) self.assertEqual(0, len(self.tracker.tracked_migrations)) self._assert(0, 'memory_mb_used') self._assert(0, 'local_gb_used') self._assert(0, 'vcpus_used') @mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid', return_value=objects.InstancePCIRequests(requests=[])) def test_revert_reserve_source(self, mock_get): # if a revert has started at the API and audit runs on # the source compute before the instance flips back to source, # resources should still be held at the source based on the # migration: dest = "desthost" dest_tracker = self._tracker(host=dest) dest_tracker.update_available_resource(self.context) self.instance = self._fake_instance(memory_mb=FAKE_VIRT_MEMORY_MB, root_gb=FAKE_VIRT_LOCAL_GB, ephemeral_gb=0, vcpus=FAKE_VIRT_VCPUS, instance_type_id=1) values = {'source_compute': self.host, 'dest_compute': dest, 'old_instance_type_id': 1, 'new_instance_type_id': 1, 'status': 'post-migrating', 'instance_uuid': self.instance['uuid']} self._fake_migration_create(self.context, values) # attach an instance to the destination host tracker: dest_tracker.instance_claim(self.context, self.instance) self._assert(FAKE_VIRT_MEMORY_WITH_OVERHEAD, 'memory_mb_used', tracker=dest_tracker) self._assert(FAKE_VIRT_LOCAL_GB, 'local_gb_used', tracker=dest_tracker) self._assert(FAKE_VIRT_VCPUS, 'vcpus_used', tracker=dest_tracker) # audit and recheck to confirm migration doesn't get double counted # on dest: dest_tracker.update_available_resource(self.context) self._assert(FAKE_VIRT_MEMORY_WITH_OVERHEAD, 'memory_mb_used', tracker=dest_tracker) self._assert(FAKE_VIRT_LOCAL_GB, 'local_gb_used', tracker=dest_tracker) self._assert(FAKE_VIRT_VCPUS, 'vcpus_used', tracker=dest_tracker) # apply the migration to the source host tracker: self.tracker.update_available_resource(self.context) self._assert(FAKE_VIRT_MEMORY_WITH_OVERHEAD, 'memory_mb_used') self._assert(FAKE_VIRT_LOCAL_GB, 'local_gb_used') self._assert(FAKE_VIRT_VCPUS, 'vcpus_used') # flag the instance and migration as reverting and re-audit: self.instance['vm_state'] = vm_states.RESIZED self.instance['task_state'] = task_states.RESIZE_REVERTING self.tracker.update_available_resource(self.context) self._assert(FAKE_VIRT_MEMORY_MB + 1, 'memory_mb_used') self._assert(FAKE_VIRT_LOCAL_GB, 'local_gb_used') self._assert(FAKE_VIRT_VCPUS, 'vcpus_used') def test_resize_filter(self): instance = self._fake_instance(vm_state=vm_states.ACTIVE, task_state=task_states.SUSPENDING) self.assertFalse(self.tracker._instance_in_resize_state(instance)) instance = self._fake_instance(vm_state=vm_states.RESIZED, task_state=task_states.SUSPENDING) self.assertTrue(self.tracker._instance_in_resize_state(instance)) states = [task_states.RESIZE_PREP, task_states.RESIZE_MIGRATING, task_states.RESIZE_MIGRATED, task_states.RESIZE_FINISH] for vm_state in [vm_states.ACTIVE, vm_states.STOPPED]: for task_state in states: instance = self._fake_instance(vm_state=vm_state, task_state=task_state) result = self.tracker._instance_in_resize_state(instance) self.assertTrue(result) def test_dupe_filter(self): instance = self._fake_instance(host=self.host) values = {'source_compute': self.host, 'dest_compute': self.host, 'instance_uuid': instance['uuid'], 'new_instance_type_id': 2} self._fake_flavor_create(id=2) self._fake_migration_create(self.context, values) self._fake_migration_create(self.context, values) self.tracker.update_available_resource(self.context) self.assertEqual(1, len(self.tracker.tracked_migrations)) @mock.patch('nova.objects.InstancePCIRequests.get_by_instance_uuid', return_value=objects.InstancePCIRequests(requests=[])) def test_set_instance_host_and_node(self, mock_get): instance = self._fake_instance() self.assertIsNone(instance['host']) self.assertIsNone(instance['launched_on']) self.assertIsNone(instance['node']) claim = self.tracker.instance_claim(self.context, instance) self.assertNotEqual(0, claim.memory_mb) self.assertEqual('fakehost', instance['host']) self.assertEqual('fakehost', instance['launched_on']) self.assertEqual('fakenode', instance['node']) class NoInstanceTypesInSysMetadata(ResizeClaimTestCase): """Make sure we handle the case where the following are true: #) Compute node C gets upgraded to code that looks for instance types in system metadata. AND #) C already has instances in the process of migrating that do not have stashed instance types. bug 1164110 """ def setUp(self): super(NoInstanceTypesInSysMetadata, self).setUp() self.instance = self._fake_instance(stash=False) def test_get_instance_type_stash_false(self): with (mock.patch.object(objects.Flavor, 'get_by_id', return_value=self.instance_type)): flavor = self.tracker._get_instance_type(self.context, self.instance, "new_") self.assertEqual(self.instance_type, flavor) class OrphanTestCase(BaseTrackerTestCase): def _driver(self): class OrphanVirtDriver(FakeVirtDriver): def get_per_instance_usage(self): return { '1-2-3-4-5': {'memory_mb': FAKE_VIRT_MEMORY_MB, 'uuid': '1-2-3-4-5'}, '2-3-4-5-6': {'memory_mb': FAKE_VIRT_MEMORY_MB, 'uuid': '2-3-4-5-6'}, } return OrphanVirtDriver() def test_usage(self): self.assertEqual(2 * FAKE_VIRT_MEMORY_WITH_OVERHEAD, self.tracker.compute_node['memory_mb_used']) def test_find(self): # create one legit instance and verify the 2 orphans remain self._fake_instance() orphans = self.tracker._find_orphaned_instances() self.assertEqual(2, len(orphans)) class ComputeMonitorTestCase(BaseTestCase): def setUp(self): super(ComputeMonitorTestCase, self).setUp() fake_monitors = [ 'nova.tests.compute.monitors.test_monitors.FakeMonitorClass1', 'nova.tests.compute.monitors.test_monitors.FakeMonitorClass2'] self.flags(compute_available_monitors=fake_monitors) self.tracker = self._tracker() self.node_name = 'nodename' self.user_id = 'fake' self.project_id = 'fake' self.info = {} self.context = context.RequestContext(self.user_id, self.project_id) def test_get_host_metrics_none(self): self.flags(compute_monitors=['FakeMontorClass1', 'FakeMonitorClass4']) self.tracker.monitors = [] metrics = self.tracker._get_host_metrics(self.context, self.node_name) self.assertEqual(len(metrics), 0) def test_get_host_metrics_one_failed(self): self.flags(compute_monitors=['FakeMonitorClass1', 'FakeMonitorClass4']) class1 = test_monitors.FakeMonitorClass1(self.tracker) class4 = test_monitors.FakeMonitorClass4(self.tracker) self.tracker.monitors = [class1, class4] metrics = self.tracker._get_host_metrics(self.context, self.node_name) self.assertTrue(len(metrics) > 0) @mock.patch.object(resource_tracker.LOG, 'warn') def test_get_host_metrics_exception(self, mock_LOG_warn): self.flags(compute_monitors=['FakeMontorClass1']) class1 = test_monitors.FakeMonitorClass1(self.tracker) self.tracker.monitors = [class1] with mock.patch.object(class1, 'get_metrics', side_effect=test.TestingException()): metrics = self.tracker._get_host_metrics(self.context, self.node_name) mock_LOG_warn.assert_called_once_with( u'Cannot get the metrics from %s.', class1) self.assertEqual(0, len(metrics)) def test_get_host_metrics(self): self.flags(compute_monitors=['FakeMonitorClass1', 'FakeMonitorClass2']) class1 = test_monitors.FakeMonitorClass1(self.tracker) class2 = test_monitors.FakeMonitorClass2(self.tracker) self.tracker.monitors = [class1, class2] mock_notifier = mock.Mock() with mock.patch.object(rpc, 'get_notifier', return_value=mock_notifier) as mock_get: metrics = self.tracker._get_host_metrics(self.context, self.node_name) mock_get.assert_called_once_with(service='compute', host=self.node_name) expected_metrics = [{ 'timestamp': 1232, 'name': 'key1', 'value': 2600, 'source': 'libvirt' }, { 'name': 'key2', 'source': 'libvirt', 'timestamp': 123, 'value': 1600 }] payload = { 'metrics': expected_metrics, 'host': self.tracker.host, 'host_ip': CONF.my_ip, 'nodename': self.node_name } mock_notifier.info.assert_called_once_with( self.context, 'compute.metrics.update', payload) self.assertEqual(metrics, expected_metrics) class TrackerPeriodicTestCase(BaseTrackerTestCase): def test_periodic_status_update(self): # verify update called on instantiation self.assertEqual(1, self.update_call_count) # verify update not called if no change to resources self.tracker.update_available_resource(self.context) self.assertEqual(1, self.update_call_count) # verify update is called when resources change driver = self.tracker.driver driver.memory_mb += 1 self.tracker.update_available_resource(self.context) self.assertEqual(2, self.update_call_count) def test_update_available_resource_calls_locked_inner(self): @mock.patch.object(self.tracker, 'driver') @mock.patch.object(self.tracker, '_update_available_resource') @mock.patch.object(self.tracker, '_verify_resources') @mock.patch.object(self.tracker, '_report_hypervisor_resource_view') def _test(mock_rhrv, mock_vr, mock_uar, mock_driver): resources = {'there is someone in my head': 'but it\'s not me'} mock_driver.get_available_resource.return_value = resources self.tracker.update_available_resource(self.context) mock_uar.assert_called_once_with(self.context, resources) _test() class StatsDictTestCase(BaseTrackerTestCase): """Test stats handling for a virt driver that provides stats as a dictionary. """ def _driver(self): return FakeVirtDriver(stats=FAKE_VIRT_STATS) def _get_stats(self): return jsonutils.loads(self.tracker.compute_node['stats']) def test_virt_stats(self): # start with virt driver stats stats = self._get_stats() self.assertEqual(FAKE_VIRT_STATS, stats) # adding an instance should keep virt driver stats self._fake_instance(vm_state=vm_states.ACTIVE, host=self.host) self.tracker.update_available_resource(self.context) stats = self._get_stats() expected_stats = {} expected_stats.update(FAKE_VIRT_STATS) expected_stats.update(self.tracker.stats) self.assertEqual(expected_stats, stats) # removing the instances should keep only virt driver stats self._instances = {} self.tracker.update_available_resource(self.context) stats = self._get_stats() self.assertEqual(FAKE_VIRT_STATS, stats) class StatsJsonTestCase(BaseTrackerTestCase): """Test stats handling for a virt driver that provides stats as a json string. """ def _driver(self): return FakeVirtDriver(stats=FAKE_VIRT_STATS_JSON) def _get_stats(self): return jsonutils.loads(self.tracker.compute_node['stats']) def test_virt_stats(self): # start with virt driver stats stats = self._get_stats() self.assertEqual(FAKE_VIRT_STATS, stats) # adding an instance should keep virt driver stats # and add rt stats self._fake_instance(vm_state=vm_states.ACTIVE, host=self.host) self.tracker.update_available_resource(self.context) stats = self._get_stats() expected_stats = {} expected_stats.update(FAKE_VIRT_STATS) expected_stats.update(self.tracker.stats) self.assertEqual(expected_stats, stats) # removing the instances should keep only virt driver stats self._instances = {} self.tracker.update_available_resource(self.context) stats = self._get_stats() self.assertEqual(FAKE_VIRT_STATS, stats) class StatsInvalidJsonTestCase(BaseTrackerTestCase): """Test stats handling for a virt driver that provides an invalid type for stats. """ def _driver(self): return FakeVirtDriver(stats='this is not json') def _init_tracker(self): # do not do initial update in setup pass def test_virt_stats(self): # should throw exception for string that does not parse as json self.assertRaises(ValueError, self.tracker.update_available_resource, context=self.context) class StatsInvalidTypeTestCase(BaseTrackerTestCase): """Test stats handling for a virt driver that provides an invalid type for stats. """ def _driver(self): return FakeVirtDriver(stats=10) def _init_tracker(self): # do not do initial update in setup pass def test_virt_stats(self): # should throw exception for incorrect stats value type self.assertRaises(ValueError, self.tracker.update_available_resource, context=self.context)

[ "719184289@qq.com" ]

719184289@qq.com

7b74dc05be35f6de6336639c9247599bd4dbf85a

9532916aaa2d441908883a98cebef12ec7a6511f

/model.py

f61b019c6a4b54ce43efcbb437e17a880bd8b787

[]

no_license

xuliwalker/flownet3d_pytorch

e3d749ed7e837e32982022ad1570ef3da44d8efc

a2e05c7827830217d2f48d87a664dcbeb130f652

refs/heads/master

2022-04-19T02:14:52.522623

2020-04-14T06:33:47

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null

2020-04-28T11:05:16

2020-04-28T11:05:15

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py

import torch.nn as nn import torch import numpy as np import torch.nn.functional as F from util import PointNetSetAbstraction,PointNetFeaturePropogation,FlowEmbedding,PointNetSetUpConv class FlowNet3D(nn.Module): def __init__(self,args): super(FlowNet3D,self).__init__() self.sa1 = PointNetSetAbstraction(npoint=1024, radius=0.5, nsample=16, in_channel=3, mlp=[32,32,64], group_all=False) self.sa2 = PointNetSetAbstraction(npoint=256, radius=1.0, nsample=16, in_channel=64, mlp=[64, 64, 128], group_all=False) self.sa3 = PointNetSetAbstraction(npoint=64, radius=2.0, nsample=8, in_channel=128, mlp=[128, 128, 256], group_all=False) self.sa4 = PointNetSetAbstraction(npoint=16, radius=4.0, nsample=8, in_channel=256, mlp=[256,256,512], group_all=False) self.fe_layer = FlowEmbedding(radius=10.0, nsample=64, in_channel = 128, mlp=[128, 128, 128], pooling='max', corr_func='concat') self.su1 = PointNetSetUpConv(nsample=8, radius=2.4, f1_channel = 256, f2_channel = 512, mlp=[], mlp2=[256, 256]) self.su2 = PointNetSetUpConv(nsample=8, radius=1.2, f1_channel = 128+128, f2_channel = 256, mlp=[128, 128, 256], mlp2=[256]) self.su3 = PointNetSetUpConv(nsample=8, radius=0.6, f1_channel = 64, f2_channel = 256, mlp=[128, 128, 256], mlp2=[256]) self.fp = PointNetFeaturePropogation(in_channel = 256+3, mlp = [256, 256]) self.conv1 = nn.Conv1d(256, 128, kernel_size=1, bias=False) self.bn1 = nn.BatchNorm1d(128) self.conv2=nn.Conv1d(128, 3, kernel_size=1, bias=True) def forward(self, pc1, pc2, feature1, feature2): l1_pc1, l1_feature1 = self.sa1(pc1, feature1) l2_pc1, l2_feature1 = self.sa2(l1_pc1, l1_feature1) l1_pc2, l1_feature2 = self.sa1(pc2, feature2) l2_pc2, l2_feature2 = self.sa2(l1_pc2, l1_feature2) _, l2_feature1_new = self.fe_layer(l2_pc1, l2_pc2, l2_feature1, l2_feature2) l3_pc1, l3_feature1 = self.sa3(l2_pc1, l2_feature1_new) l4_pc1, l4_feature1 = self.sa4(l3_pc1, l3_feature1) l3_fnew1 = self.su1(l3_pc1, l4_pc1, l3_feature1, l4_feature1) l2_fnew1 = self.su2(l2_pc1, l3_pc1, torch.cat([l2_feature1, l2_feature1_new], dim=1), l3_fnew1) l1_fnew1 = self.su3(l1_pc1, l2_pc1, l1_feature1, l2_fnew1) l0_fnew1 = self.fp(pc1, l1_pc1, feature1, l1_fnew1) x = F.relu(self.bn1(self.conv1(l0_fnew1))) sf = self.conv2(x) return sf if __name__ == '__main__': import os import torch os.environ["CUDA_VISIBLE_DEVICES"] = '0' input = torch.randn((8,3,2048)) label = torch.randn(8,16) model = FlowNet3D() output = model(input,input) print(output.size())

[ "hao03.wang@gitlab.hobot.cc" ]

hao03.wang@gitlab.hobot.cc

486e14339acaf81e3a59ed9a6ba548e5de49105b

7944d2fd5d885a034347a986f3114f0b81166447

/facebookads/adobjects/helpers/adaccountusermixin.py

da4d36229bfcaa877d38eeadcde3eb4fe09c6387

[]

no_license

it-devros/django-facebook-api

4fd94d1bbbff664f0314e046f50d91ee959f5664

ee2d91af49bc2be116bd10bd079c321bbf6af721

refs/heads/master

2021-06-23T06:29:07.664905

2019-06-25T07:47:50

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# Copyright 2014 Facebook, Inc. # You are hereby granted a non-exclusive, worldwide, royalty-free license to # use, copy, modify, and distribute this software in source code or binary # form for use in connection with the web services and APIs provided by # Facebook. # As with any software that integrates with the Facebook platform, your use # of this software is subject to the Facebook Developer Principles and # Policies [http://developers.facebook.com/policy/]. This copyright notice # shall be included in all copies or substantial portions of the software. # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL # THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER # DEALINGS IN THE SOFTWARE. from facebookads.adobjects.adaccount import AdAccount from facebookads.adobjects.page import Page from facebookads.adobjects.objectparser import ObjectParser from facebookads.api import FacebookRequest from facebookads.typechecker import TypeChecker class AdAccountUserMixin: class Field(object): id = 'id' name = 'name' permissions = 'permissions' role = 'role' class Permission(object): account_admin = 1 admanager_read = 2 admanager_write = 3 billing_read = 4 billing_write = 5 reports = 7 class Role(object): administrator = 1001 analyst = 1003 manager = 1002 # @deprecated get_endpoint function is deprecated @classmethod def get_endpoint(cls): return 'users' def get_ad_accounts(self, fields=None, params=None): """Returns iterator over AdAccounts associated with this user.""" return self.iterate_edge(AdAccount, fields, params, endpoint='adaccounts') def get_ad_account(self, fields=None, params=None): """Returns first AdAccount associated with this user.""" return self.edge_object(AdAccount, fields, params) def get_pages(self, fields=None, params=None): """Returns iterator over Pages's associated with this user.""" return self.iterate_edge(Page, fields, params)

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# Hashing utilities import hmac import random import string import hashlib SECRET = 'imsosecret' def hash_str(s): """Creates a hash of the string s. Args: s: An input string. Returns: A hash of the input string. """ return hmac.new(SECRET, s).hexdigest() def make_secure_val(s): """Given an input string, outputs a secure value, i.e. the string followed by a pipe followed by a hash of that string. Args: s: An input string Returns: A string of the form "s|hash_str(s)". """ return "%s|%s" % (s, hash_str(s)) def check_secure_val(h): """Given a secure value of the form "s|h(s)", checks that h(s) actually matches hash_str(s). Args: h: A string, expected to be of the form "s|h(s)" Returns: True if s == h(s), False otherwise. """ if not h: return None val = h.split('|')[0] if h == make_secure_val(val): return val def make_salt(): return ''.join(random.choice(string.letters) for x in range(5)) def make_pw_hash(name, pw, salt=None): if not salt: salt = make_salt() h = hashlib.sha256(name + pw + salt).hexdigest() return '%s|%s' % (h, salt) def valid_pw(name, pw, h): hash_val, salt = h.split('|') return make_pw_hash(name, pw, salt) == h

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l=[1,2,3,4,5,6,7,8,9,10] total=0 for i in l: total+=i print(total)

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aradhya301@gmail.com

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# coding:utf-8 #from .custom_callbacks import *

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#coding: utf-8 """ Baraag, a small markdown preview server work with Evernote.app in Mac OS X. Usage: baraag [options] Options: -p <PORT>, --port=<PORT> Server port. [default: 7777] -q, --quiet Output minimum logs. --debug Output verbose debug logs. """ from __future__ import absolute_import import logging from docopt import docopt from baraag.baraag import Baraag def main(): options = docopt(__doc__, version='0.1') port = int(options['--port']) if options['--quiet']: log_level = logging.ERROR debug = False elif options['--debug']: log_level = logging.DEBUG debug = True else: log_level = logging.INFO debug = False logging.basicConfig(level=log_level, format='%(asctime)s %(levelname)-8s %(message)s', datefmt='%Y-%m-%d %H:%M:%S') baraag = Baraag(port=port, debug=debug) baraag.start() # come here when the server was terminated baraag.shutdown() if __name__ == '__main__': main()

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orangain@gmail.com

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philschmid/german-gpt2

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import json from pathlib import Path from typing import List, Tuple import sentencepiece as spm import torch import numpy as np from model.gpt2 import Model, HParams UNK = '<unk>' END_OF_LINE = '<endofline>' END_OF_TEXT = '<endoftext>' class ModelWrapper: END_OF_LINE = '<endofline>' END_OF_TEXT = '<endoftext>' def __init__(self, model: Model, sp_model: spm.SentencePieceProcessor): self.model = model self.sp_model = sp_model @classmethod def load(cls, root: Path): sp_model = spm.SentencePieceProcessor() sp_model.load(str(root / 'sp.model')) hparams = json.loads((root / 'params.json').read_text())['hparams'] hparams.setdefault('n_hidden', hparams['n_embed']) model = Model(HParams(**hparams)) state = torch.load(root / 'model.pt', map_location='cpu') state_dict = fixed_state_dict(state['state_dict']) model.load_state_dict(state_dict) tensor_list = list(state_dict.items()) pytorch_total_params = sum(p.numel() for p in model.parameters()) return cls(model, sp_model) def tokenize(self, s: str) -> List[str]: return self.sp_model.EncodeAsPieces(s) def token_to_id(self, token: str) -> int: return self.sp_model.PieceToId(token) def id_to_token(self, token_id: int) -> str: return self.sp_model.IdToPiece(int(token_id)) def get_log_probs(self, tokens: List[str]) -> torch.Tensor: """ Return a tensor with shape (len(tokens), len(self.sp_model)), with log-probabilities for tokens after each token in tokens. If this is a start of the text, you may want to prepend END_OF_TEXT: model.get_log_probs([model.END_OF_TEXT] + tokens). Use model.tokenize to obtain tokens. """ assert len(tokens) <= self.model.hparams.n_ctx # TODO ids = [self.token_to_id(t) for t in tokens] ctx = torch.LongTensor(ids).unsqueeze(0) with torch.no_grad(): logits = self.model(ctx)['logits'].squeeze(0) return torch.log_softmax(logits, dim=1) def get_occurred_log_probs( self, tokens: List[str]) -> List[Tuple[float, str]]: """ Return a list of log probs of actually occurred tokens, starting from the second. """ log_probs = self.get_log_probs(tokens) out = [] for idx, token in enumerate(tokens[1:]): out.append((float(log_probs[idx, self.token_to_id(token)]), token)) return out def get_next_top_k( self, tokens: List[str], top_k: int) -> List[Tuple[float, str]]: """ Return a list of top k tuples of log prob and token, for what would come after the last token. """ next_log_probs = self.get_log_probs(tokens)[-1] return sorted([(float(next_log_probs[i]), self.id_to_token(i)) for i in next_log_probs.argsort()[-top_k:]], reverse=True) def generate_tokens(self, tokens_prefix: List[str], tokens_to_generate: int, top_k: int) -> List[str]: tokens = list(tokens_prefix) for i in range(tokens_to_generate): # generate TOP_K potential next tokens ntk = self.get_next_top_k(tokens, top_k) # convert log probs to real probs logprobs = np.array(list(map(lambda a: a[0], ntk))) probs = np.exp(logprobs) / np.exp(logprobs).sum() # pick next token randomly according to probs distribution next_token_n = np.random.choice(top_k, p=probs) next_token = ntk[next_token_n][1] # print (next_token) tokens.append(next_token) return tokens def fixed_state_dict(state_dict): if all(k.startswith('module.') for k in state_dict): # legacy multi-GPU format state_dict = {k[len('module.'):]: v for k, v in state_dict.items()} return state_dict

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schmidphilipp1995@gmail.com

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ankitpriyarup/online-judge

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refs/heads/master

2020-09-05T02:46:56.377213

2019-10-27T20:12:25

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def main(): n, k, x = map(int, input().split()) a = list(map(int, input().split())) end = n - k ans = sum(a[:end]) + x * k print(ans) main()

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arnavsastry@gmail.com

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/OtherScripts/get_sfs_for_fsc_thin_chr22.py

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paruljohri/demographic_inference_with_selection

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#This is to get the SFS (including class 0) from an .ms file in the format for fsc: #It includes the option of thinning SNPs #How to run: #python get_sfs_for_fsc_thin_chr22.py -inputFolder /scratch/kriall/simulated_chromosomes -outputFolder /scratch/pjohri1/MSMC_SCRIPTS/mySFS/ -demography decline -genome genome20 -dfe 0 -repNum 1 -masking masked -thinning 5kb -num_indv 100 import sys import argparse import os #parsing user given constants parser = argparse.ArgumentParser(description='Information about number of sliding windows and step size') parser.add_argument('-inputFolder', dest = 'inputFolder', action='store', nargs = 1, type = str, help = 'path to input folder') parser.add_argument('-outputFolder', dest = 'outputFolder', action='store', nargs = 1, type = str, help = 'path to output folder') parser.add_argument('-demography', dest = 'demography', action='store', nargs = 1, type = str, help = 'eqm/decline/growth') parser.add_argument('-genome', dest = 'genome', action='store', nargs = 1, type = str, help = 'genome20/genome10/genome05') parser.add_argument('-dfe', dest = 'dfe', action='store', nargs = 1, type = str, help = '0/1/2/3/4/5/6') parser.add_argument('-repNum', dest = 'repNum', action='store', nargs = 1, type = str, help = '1-10') parser.add_argument('-masking', dest = 'masking', action='store', nargs = 1, type = str, help = 'masked/unmasked') parser.add_argument('-thinning', dest = 'thinning', action='store', nargs = 1, type = str, help = '5kb/100kb') parser.add_argument('-num_indv', dest = 'num_indv', action='store', nargs = 1, type = int, help = 'number of individuals for which the SFS will be made') #read input parameters args = parser.parse_args() in_folder = args.inputFolder[0] out_folder = args.outputFolder[0] s_demo = args.demography[0] genome = args.genome[0] s_dfe = args.dfe[0] repID = args.repNum[0] masking = args.masking[0] thinning = args.thinning[0] num_indv = args.num_indv[0] if "genome20" in genome: if masking == "unmasked": chr_size = 150003700 elif masking == "masked": chr_size = 118424753 elif "genome10" in genome: if masking == "unmasked": chr_size = 150029950 elif masking == "masked": chr_size = 135572119 elif "genome05" in genome: if masking == "unmasked": chr_size = "150018600" elif masking=="masked": chr_size = 142354366 if thinning == "5kb": thin_size = 5000 elif thinning == "100kb": thin_size = 100000 else: print ("Error: check thinning parameters") def get_sfs(l_af): d_sfs = {} s_seg = 0 #total number of truly segregating sites s_not_anc = 0 #required to know the d0_0 class for x in l_af: try: d_sfs[x] = d_sfs[x] + 1 except: d_sfs[x] = 1 if int(x) > 0 and int(x) < int(num_indv): s_seg += 1 if int(x) > 0: s_not_anc += 1 return(d_sfs, s_seg, s_not_anc) def thin_snps(d_af, d_posns, s_interval): d_af_thin = {} s_posn0 = 1 d_af_thin[s_posn0] = d_af[s_posn0] s_posn = s_posn0 + 1 while s_posn <= len(d_af): if d_posns[s_posn]-d_posns[s_posn0]-1 >= int(s_interval): d_af_thin[s_posn] = d_af[s_posn] s_posn0 = s_posn s_posn += 1 return(d_af_thin) #f_ms = open(sys.argv[1], 'r') result = open(out_folder + "/MASTER_thinned_" + thinning + "_" + s_demo + "_" + masking + "_" + genome + "_sim" + s_dfe + "_rep" + repID + "_DAFpop0.obs", 'w+') result.write("1 observations" + '\n') i = 0 result.write("d0_0") while i <= int(num_indv): result.write('\t' + "d0_" + str(i)) i = i + 1 result.write('\n') #Make a list of all .ms files: #os.system("ls " + in_folder + "/*.ms > " + out_folder + "/tmp.list") #Going through .ms files for all 22 chromosomes: d_sfs_chr22 = {} af_bin = 0 while af_bin <= num_indv: d_sfs_chr22[af_bin] = 0 af_bin += 1 chr_num = 1 #f_list = open(out_folder + "/tmp.list", 'r') while chr_num <= 22: #Bline = Aline.strip('\n') print ("chromosome number: " + str(chr_num)) if masking == "unmasked": f_ms = open(in_folder + "/" + s_demo + "_dfe_150Mb_22chr_" + genome + "/sim" + s_dfe + "/output_genome" + repID + "_chr" + str(chr_num) + ".ms", 'r') elif masking == "masked": f_ms = open(in_folder + "/" + s_demo + "_dfe_150Mb_22chr_" + genome + "/sim" + s_dfe + "/output_genome" + repID + "_chr" + str(chr_num) + "_masked.ms", 'r') #reading in genotypes from ms d_af = {} #column numbers starting at 1 -> genotype d_posns = {} #column numbers starting at 1 -> chromosomal positions linecount = 0 for line in f_ms: line1 = line.strip('\n') if "positions" in line1: line2 = line1.split() col = 1 for x in line2: if "positions" not in x: d_posns[col] = round(float(x)*chr_size) col += 1 elif "//" not in line1 and "segsites" not in line1 and "positions" not in line1: linecount += 1 if linecount <= int(num_indv): col = 1 for x in line1: try: d_af[col] = int(d_af[col]) + int(x) except: d_af[col] = int(x) col += 1 f_ms.close() #Thin the ms file: d_af_thinned = thin_snps(d_af, d_posns, thin_size) #Make SFS for thinned SNPs l_af = [] for y in d_af_thinned.keys(): l_af.append(d_af_thinned[y]) t_sfs = get_sfs(l_af) d_sfs_all = t_sfs[0] s_seg = t_sfs[1] s_not_anc = t_sfs[2] chr_size_thinned = round(chr_size*(len(d_af_thinned)/float(len(d_af)))) s_bin0 = chr_size_thinned-s_not_anc #Add to the cumulative SFS: d_sfs_chr22[0] = d_sfs_chr22[0] + s_bin0 for x in d_sfs_all.keys(): d_sfs_chr22[x] = int(d_sfs_chr22[x]) + int(d_sfs_all[x]) chr_num += 1 #Write the full result: result.write(str(d_sfs_chr22[0]))#write the d0_0 class i = 1 while (i <= int(num_indv)): result.write('\t' + str(d_sfs_chr22[i])) i = i + 1 result.write('\n') print ("done")

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paruljohri.noreply@github.com

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Ynnelmen/Gimbal-control-software

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refs/heads/master

2021-01-18T03:37:36.189494

2015-12-27T14:52:03

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import math import os import time def generatesteps(resolution, offset): deltastep = offset motorstep = 0 motormap = [] motormap.extend(range(1,(360/resolution)+1)) for item in motormap: motormap[motorstep] = int((255*math.sin(deltastep)+255)/2) deltastep += (2*resolution*math.pi)/360 motorstep += 1 return motormap motorposition1 = generatesteps(1,0) motorposition2 = generatesteps(1,2.0943933333) motorposition3 = generatesteps(1,4.1887866666) print motorposition1 print motorposition2 print motorposition3

[ "jeremie.reusser@sunrise.ch" ]

jeremie.reusser@sunrise.ch

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kushalkumarcs99/CodeChef

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refs/heads/master

2021-04-20T00:22:31.718616

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for i in range(int(input())): n = int(input()) a = list(map(int,input().split())) b = list(map(int,input().split())) a.sort() b.sort() ans =0 for i in range(len(a)): ans+=min(a[i],b[i]) print(ans)

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mikeldb-learning/2017-tfm-mikel-diez

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refs/heads/master

2022-04-10T13:08:20.987142

2019-11-12T23:13:10

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py

import cv2 import numpy as np import logging import cProfile from datetime import datetime class GetMatchedInterestPointsFromImagesService: def __init__(self, stereo_calibration, camera_a_calibration, camera_b_calibration): self.stereo_calibration = stereo_calibration self.camera_a_calibration = camera_a_calibration self.camera_b_calibration = camera_b_calibration def execute(self, image_a, image_b): image_a_borders = self.__get_border_image(image_a) image_b_borders = self.__get_border_image(image_b) image_a_borders_sampled = self.__remove_points(image_a_borders, 5) interest_points_a = np.array(cv2.findNonZero(image_a_borders_sampled), dtype=np.float32) interest_points_b = self.get_right_points_structure(image_b_borders) epilines_a = cv2.computeCorrespondEpilines(interest_points_a, 1, self.stereo_calibration['F']) epilines_a = epilines_a.reshape(-1, 3) R1, R2, P1, P2, Q, roi1, roi2 = cv2.stereoRectify(self.stereo_calibration["cameraMatrix1"], self.stereo_calibration["distCoeffs1"], self.stereo_calibration["cameraMatrix2"], self.stereo_calibration["distCoeffs2"], (960, 540), self.stereo_calibration["R"], self.stereo_calibration["T"], alpha=1) logging.info('[{}] Start Match Points With Template'.format(datetime.now().time())) pr = cProfile.Profile() pr.enable() left_points, right_points, lines_right = self.__match_similar_interest_points_legacy( interest_points_a, interest_points_b, epilines_a, image_a, image_b, image_b_borders) pr.disable() pr.print_stats() logging.info('[{}] End Match Points With Template'.format(datetime.now().time())) logging.info('[{}] Points to be Matched'.format(interest_points_a.shape[0])) logging.info('[{}] Points Matched'.format(left_points.shape[0])) return left_points, right_points @staticmethod def __get_border_image(image): return cv2.Canny(image,100,200) @staticmethod def __remove_points(image, patch_size = 40): height, width = image.shape result = np.zeros((height, width), np.uint8) for row in range(10 + patch_size,height - (10 + patch_size)): for column in range(10 + patch_size,width - (10 + patch_size)): if image[row][column] == 255: result[row][column] = 255 image[row-patch_size:row+patch_size,column-patch_size:column+patch_size] = 0 return result @staticmethod def get_right_points_structure(border_image): non_zero_pixels_structure = np.empty((border_image.shape[0],), dtype=object) non_zero_pixels_structure[...] = [[] for _ in range(border_image.shape[0])] non_zero_pixels = np.array(cv2.findNonZero(border_image), dtype=np.float32) for non_zero_pixel in non_zero_pixels: non_zero_pixels_structure[non_zero_pixel[0][1]].append(non_zero_pixel[0][0]) return non_zero_pixels_structure def __match_similar_interest_points_legacy(self, points, points2, lines, image1, image2, image2_borders): height, width, depth = image2.shape points_left = [] points_right = [] lines_right = [] patch_size = 20 image1 = cv2.cvtColor(image1, cv2.COLOR_BGR2HSV) image2 = cv2.cvtColor(image2, cv2.COLOR_BGR2HSV) column_range = range(patch_size, width - patch_size) epiline_range = range(-1, 1) for line, point in zip(lines, points): left_patch = self.__get_image_patch(image1, point[0][1], point[0][0], int(patch_size / 2), int(patch_size / 2)) best_mean_square_error = 0.9 best_point = None for column in column_range: row = int((-(column * line[0]) - line[2]) / line[1]) for epiline_offset in epiline_range: if 0 < row < width: if image2_borders[row][column + epiline_offset] == 255: right_patch = self.__get_image_patch(image2, row, column, int(patch_size / 2), int(patch_size / 2)) if right_patch.shape == (patch_size, patch_size, 3): similarity = cv2.matchTemplate(right_patch, left_patch, cv2.TM_CCORR_NORMED) similarity = similarity[0][0] if similarity > 0.9 and similarity > best_mean_square_error: best_mean_square_error = similarity best_point = np.array([[column + epiline_offset, row]], dtype=np.float32) if best_point is not None: points_left.append(point) points_right.append(best_point) lines_right.append(line) return np.array(points_left), np.array(points_right), np.array(lines_right) def __get_interest_points_matched(self, interest_points_a, image_b_borders, image_a, image_b): height, width, depth = image_a.shape points_left = [] points_right = [] patch_size = 20 image1 = cv2.cvtColor(image_a, cv2.COLOR_BGR2HSV) image2 = cv2.cvtColor(image_b, cv2.COLOR_BGR2HSV) column_range = range(patch_size, width - patch_size) epiline_range = range(-1, 1) for interest_point_a in interest_points_a: left_patch = self.__get_image_patch(image1, interest_point_a[0][1], interest_point_a[0][0], int(patch_size / 2), int(patch_size / 2)) best_mean_square_error = 0.9 best_point = None for column in column_range: for epiline_offset in epiline_range: if 0 < interest_point_a[0][1] < width: if image_b_borders[interest_point_a[0][1]][column + epiline_offset] == 255: right_patch = self.__get_image_patch(image2, interest_point_a[0][1], column, int(patch_size / 2), int(patch_size / 2)) if right_patch.shape == (patch_size, patch_size, 3): similarity = cv2.matchTemplate(right_patch, left_patch, cv2.TM_CCORR_NORMED) similarity = similarity[0][0] if similarity > 0.9 and similarity > best_mean_square_error: best_mean_square_error = similarity best_point = np.array([[column + epiline_offset, interest_point_a[0][1]]], dtype=np.float32) if best_point is not None: points_left.append(interest_point_a) points_right.append(best_point) return np.array(points_left), np.array(points_right) def __match_similar_interest_points(self, points, points2, lines, image1, image2, image2_borders): height, width, depth = image2.shape points_left = [] points_right = [] lines_right = [] patch_size = 20 image1 = cv2.cvtColor(image1, cv2.COLOR_BGR2HSV) image2 = cv2.cvtColor(image2, cv2.COLOR_BGR2HSV) for line, point in zip(lines, points): left_patch = self.__get_image_patch(image1, point[0][1], point[0][0], int(patch_size / 2), int(patch_size / 2)) best_point = self.__match_points_in_epiline_fast(line, width, left_patch, image2, image2_borders, points2) if best_point is not None: points_left.append(point) points_right.append(best_point) lines_right.append(line) return np.array(points_left), np.array(points_right), np.array(lines_right) def __match_points_in_epiline_fast(self, line, width, left_patch, image_b, border_image_b, points2): patch_size = 20 column_range = range(patch_size, width - patch_size) epiline_offset = 1 similarity_threshold = 0.9 best_similarity = 0.9 best_point = None limits = [ int((-(0 * line[0]) - line[2]) / line[1]), int((-(points2.shape[0] * line[0]) - line[2]) / line[1]) ] limits.sort() relevant_points = points2[limits[0]:limits[1]] print(limits[0], limits[1]) for columns, row_number in zip(relevant_points, range(limits[0], limits[1])): print(row_number) for column in columns: if 0 == int((row_number * line[0]) + column * line[1] + line[2]): if 0 < row_number < width: right_patch = self.__get_image_patch(image_b, row_number, column, int(patch_size / 2), int((patch_size / 2) + (epiline_offset))) if right_patch.shape == (patch_size + 2, patch_size, 3): max_value, max_location = self.__match_column_patch(left_patch, right_patch) if max_value > similarity_threshold and max_value > best_similarity: best_similarity = max_value best_point = np.array([[column + (max_location[1] - 1), row_number]], dtype=np.float32) return best_point @staticmethod def __match_column_patch(needle, haystack): similarities = cv2.matchTemplate(haystack, needle, cv2.TM_CCORR_NORMED) __, maxVal, __, maxLoc = cv2.minMaxLoc(similarities) return maxVal, maxLoc @staticmethod def __get_image_patch(image, position_x, position_y, height, width, depth = 1): return image[position_x-width:position_x+width, position_y-height:position_y+height, :]

[ "mikeldiezbuil@gmail.com" ]

mikeldiezbuil@gmail.com

2d10747b1b10538e0146eb8398b51661919ec7b3

c08b2f515e0595ee44767bb522646538f3ad9e72

/Untitled-5.py

f9c2d74ad4660d6420b2a63a97ef4286b024fb56

[]

no_license

Rodo2005/json_xml_python

ddd17b4162f2bb55028567bfcfa90f474f4c311b

560bd862d1297a4c267d0e39c022a56f68b246c0

refs/heads/master

2022-11-29T03:46:21.657270

2020-08-10T17:49:58

281,804,650

0

null

2020-07-22T23:34:14

2020-07-22T23:34:13

null

UTF-8

Python

false

534

py

import json x = { "nombre": "Ken", "edad": 45, "casados": "Cierto", "ninios": ("Alice", "Bob"), "mascotas": ["$0027Perro$0027"], "coches": [ {"Modelo": "Audi A1", "mpg": 15.1}, {"Modelo": "Zeep Compass", "mpg": 18.1} ] } # ordenando el resultado en orden de las llaves: sorted_string = json.dumps(x, indent=4, sort_keys=True) print(sorted_string) with open ("datos.json", "w") as file_write: json.dump(sorted_string, file_write) print(file_write) print('')

[ "rodo2005@gmail.com" ]

rodo2005@gmail.com

8840de603d56a7895ae42c2bba32cb7c3f2b78e0

bfbc1f846b169acd733c5f9686e6b8ec1e30204a

/test/testdata.py

830700a656e15491e5a59db52c9f23877310c74b

[]

no_license

wxmann/transition-matrix

229d0462297f9e7ca71f445f8c7eb3715efbd936

84099358ccb3a9c6e2d0cf74b057b67052834e3e

refs/heads/master

2016-09-08T00:37:25.045125

2015-04-28T08:20:08

33,170,858

0

null

UTF-8

Python

false

1,058

py

from calc.core import TransitionMatrix, ProbabilityVector __author__ = 'tangz' def valid_prob_vec(): return ProbabilityVector(AAA=0.2, AA=0.5, A=0.3) def valid_transition_mat(): valid_trans_mat = TransitionMatrix('AAA', 'AA', 'A') valid_trans_mat.set_probability('AAA', 'AAA', 0.3) valid_trans_mat.set_probability('AAA', 'AA', 0.5) valid_trans_mat.set_probability('AAA', 'A', 0.2) valid_trans_mat.set_probability('AA', 'AAA', 0.1) valid_trans_mat.set_probability('AA', 'AA', 0.5) valid_trans_mat.set_probability('AA', 'A', 0.4) valid_trans_mat.set_probability('A', 'AAA', 0.6) valid_trans_mat.set_probability('A', 'AA', 0.0) valid_trans_mat.set_probability('A', 'A', 0.4) return valid_trans_mat def inc_invalid_trans_mat(): invalid_mat = TransitionMatrix('AAA', 'AA', 'A') count = 1 for state_outer in invalid_mat.states: for state_inner in invalid_mat.states: invalid_mat.set_probability(state_outer, state_inner, count) count += 1 return invalid_mat

[ "wxfreakk91@gmail.com" ]

wxfreakk91@gmail.com

ff088fd7c2c3c7a9326af48a17e85f769f1f608a

53f9dd194792672424e423e691dbbba0e4af7474

/kolibri/core/discovery/utils/network/urls.py

27e881fb6f9bec6666ce64a6591932f57fcb1773

[ "MIT" ]

permissive

DXCanas/kolibri

8e26668023c8c60f852cc9b7bfc57caa9fd814e8

4571fc5e5482a2dc9cd8f93dd45222a69d8a68b4

refs/heads/develop

2021-12-05T22:18:15.925788

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Python

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py

import re from six.moves.urllib.parse import urlparse from . import errors HTTP_PORTS = (8080, 80, 8008) HTTPS_PORTS = (443,) # from https://stackoverflow.com/a/33214423 def is_valid_hostname(hostname): if hostname[-1] == ".": # strip exactly one dot from the right, if present hostname = hostname[:-1] if len(hostname) > 253: return False labels = hostname.split(".") # the TLD must be not all-numeric if re.match(r"[0-9]+$", labels[-1]): return False allowed = re.compile(r"(?!-)[a-z0-9-]{1,63}(?<!-)$", re.IGNORECASE) return all(allowed.match(label) for label in labels) # from https://stackoverflow.com/a/319293 def is_valid_ipv4_address(ip): """Validates IPv4 addresses. """ pattern = re.compile(r""" ^ (?: # Dotted variants: (?: # Decimal 1-255 (no leading 0's) [3-9]\d?|2(?:5[0-5]|[0-4]?\d)?|1\d{0,2} | 0x0*[0-9a-f]{1,2} # Hexadecimal 0x0 - 0xFF (possible leading 0's) | 0+[1-3]?[0-7]{0,2} # Octal 0 - 0377 (possible leading 0's) ) (?: # Repeat 3 times, separated by a dot \. (?: [3-9]\d?|2(?:5[0-5]|[0-4]?\d)?|1\d{0,2} | 0x0*[0-9a-f]{1,2} | 0+[1-3]?[0-7]{0,2} ) ){3} | 0x0*[0-9a-f]{1,8} # Hexadecimal notation, 0x0 - 0xffffffff | 0+[0-3]?[0-7]{0,10} # Octal notation, 0 - 037777777777 | # Decimal notation, 1-4294967295: 429496729[0-5]|42949672[0-8]\d|4294967[01]\d\d|429496[0-6]\d{3}| 42949[0-5]\d{4}|4294[0-8]\d{5}|429[0-3]\d{6}|42[0-8]\d{7}| 4[01]\d{8}|[1-3]\d{0,9}|[4-9]\d{0,8} ) $ """, re.VERBOSE | re.IGNORECASE) return pattern.match(ip) is not None # from https://stackoverflow.com/a/319293 def is_valid_ipv6_address(ip): """Validates IPv6 addresses. """ pattern = re.compile(r""" ^ \s* # Leading whitespace (?!.*::.*::) # Only a single wildcard allowed (?:(?!:)|:(?=:)) # Colon iff it would be part of a wildcard (?: # Repeat 6 times: [0-9a-f]{0,4} # A group of at most four hexadecimal digits (?:(?<=::)|(?<!::):) # Colon unless preceeded by wildcard ){6} # (?: # Either [0-9a-f]{0,4} # Another group (?:(?<=::)|(?<!::):) # Colon unless preceeded by wildcard [0-9a-f]{0,4} # Last group (?: (?<=::) # Colon iff preceeded by exacly one colon | (?<!:) # | (?<=:) (?<!::) : # ) # OR | # A v4 address with NO leading zeros (?:25[0-4]|2[0-4]\d|1\d\d|[1-9]?\d) (?: \. (?:25[0-4]|2[0-4]\d|1\d\d|[1-9]?\d) ){3} ) \s* # Trailing whitespace $ """, re.VERBOSE | re.IGNORECASE | re.DOTALL) return pattern.match(ip) is not None def parse_address_into_components(address): # if it looks to be an IPv6 address, make sure it is surrounded by square brackets if address.count(":") > 2 and re.match("^[a-f0-9\:]+$", address): address = "[{}]".format(address) # ensure that there's a scheme on the address if "://" not in address: address = "http://" + address # parse out the URL into its components parsed = urlparse(address) p_scheme = parsed.scheme p_hostname = parsed.hostname p_path = parsed.path.rstrip("/") + "/" try: p_port = parsed.port if not p_port: # since urlparse silently excludes some types of bad ports, check and throw ourselves split_by_colon = parsed.netloc.split("]")[-1].rsplit(":") if len(split_by_colon) > 1: extracted_port = split_by_colon[-1] raise errors.InvalidPort(extracted_port) except ValueError: raise errors.InvalidPort(parsed.netloc.rsplit(":")[-1]) # perform basic validation on the URL components if p_scheme not in ("http", "https"): raise errors.InvalidScheme(p_scheme) if is_valid_ipv6_address(p_hostname): p_hostname = "[{}]".format(p_hostname) elif not (is_valid_hostname(p_hostname) or is_valid_ipv4_address(p_hostname)): raise errors.InvalidHostname(p_hostname) return p_scheme, p_hostname, p_port, p_path def get_normalized_url_variations(address): """Takes a URL, hostname, or IP, validates it, and turns it into a list of possible URLs, varying the scheme, port, and path.""" p_scheme, p_hostname, p_port, p_path = parse_address_into_components(address) # build up a list of possible URLs, in priority order urls = [] paths = (p_path,) if p_path == "/" else (p_path, "/") for path in paths: schemes = ("http", "https") if p_scheme == "http" else ("https", "http") for scheme in schemes: ports = HTTP_PORTS if scheme == "http" else HTTPS_PORTS if p_port: ports = (p_port,) + ports for port in ports: if (scheme == "http" and port == 80) or (scheme == "https" and port == 443): port_component = "" else: port_component = ":{port}".format(port=port) urls.append("{scheme}://{hostname}{port}{path}".format( scheme=scheme, hostname=p_hostname, port=port_component, path=path )) return urls

[ "jamalex@gmail.com" ]

jamalex@gmail.com

0a9443685703b3b6d1ae8fff356bd3cefe4cc06b

34ae36d2b3c2a21bf08ae2c722cdb22b23de7ab5

/coordination/bigjob_coordination_advert.py

81d656c1ccc4f4c8b971d4c524a10cbc7cee5353

[]

no_license

ssarip1/BigJob

7d1be247a2e0805ae22d2f36198b3c831a6d527d

2377feb1c1ae7813791700c9252c53d652340f26

refs/heads/master

2020-04-20T16:06:31.198256

2012-05-11T16:41:07

null

0

null

UTF-8

Python

false

10,595

py

''' Encapsulates coordination and communication specifics of bigjob ''' import threading import datetime import time import sys import os import pickle import pdb import saga import json import urlparse import logging from bigjob import logger logger.debug("Load Advert Coordination") if sys.version_info < (2, 5): sys.path.append(os.path.dirname( os.path.abspath( __file__) ) + "/../ext/uuid-1.30/") sys.stderr.write("Warning: Using unsupported Python version\n") logging.debug(str(sys.path)) import uuid APPLICATION_NAME="BigJob/BigJob" ADVERT_URL_SCHEME = "advert://" ADVERT_SERVER="advert.cct.lsu.edu" ADVERT_SERVER_PORT=8080 class bigjob_coordination(object): ''' Encapsulates communication and coordination Implementation based on Redis (http://redis.io) ''' def __init__(self, server=ADVERT_SERVER, server_port=ADVERT_SERVER_PORT, server_connect_url=None, username=None, password=None, dbtype=None, url_prefix=None): ''' Constructor ''' #pdb.set_trace() if url_prefix==None: url_prefix = ADVERT_URL_SCHEME if username!=None and username!="": url_prefix = url_prefix+username if password!=None: url_prefix = url_prefix + ":" + password url_prefix = url_prefix + "@" if server_connect_url!=None: self.address=server_connect_url elif server_port != None: self.address = url_prefix+"%s:%i"%(server, server_port) elif server != None: self.address = url_prefix+"%s"%(server) self.username="" self.password="" self.dbtype="" surl = saga.url(self.address) if server_connect_url==None: # Manager if username!=None: surl.username=username self.username=username if password != None: surl.password = password self.password=password if dbtype != None: #surl.query = dbtype self.dbtype = dbtype else: # Agent if surl.query!=None: self.dbtype=surl.query surl.query="" self.address = str(surl) self.pilot_url = self.address logger.debug("Server: " + str(server) + " Port " + str(server_port) + " Url prefix: " + str(url_prefix) + " Address: " + str(self.get_address()) + " server_connect_url: " + str(server_connect_url) ) logger.debug("Initialized Coordination to: %s (DB: %s)"%(self.address, self.dbtype)) self.resource_lock = threading.RLock() def get_address(self): return self.address + "?" + self.dbtype def get_url(self, id_string): if not id_string.startswith("advert") and not id_string.startswith("sqlasyncadvert"): path = id_string.replace(":", "/") if self.dbtype!=None: url_string = self.address + "/" + path + "?" + self.dbtype else: url_string = self.address + "/" + path return url_string if self.dbtype!=None: id_string = id_string + "?" + self.dbtype return id_string ##################################################################################### # Pilot-Job State def set_pilot_state(self, pilot_url, new_state, stopped=False): pilot_url = self.get_url(pilot_url) logger.debug("create advert entry: " + pilot_url) pilot_dir = saga.advert.directory(saga.url(pilot_url), saga.advert.Create | saga.advert.CreateParents | saga.advert.ReadWrite) logger.debug("update state of pilot job to: " + str(new_state) + " Stopped: " + str(stopped)) pilot_dir.set_attribute("state", str(new_state)) pilot_dir.set_attribute("stopped", str(stopped)) def get_pilot_state(self, pilot_url): pilot_url = self.get_url(pilot_url) pilot_dir = saga.advert.directory(saga.url(pilot_url), saga.advert.Read) state = pilot_dir.get_attribute("state") stopped = pilot_dir.get_attribute("stopped") if stopped == "false" or stopped == "False": return {"state":state, "stopped":False} else: return {"state":state, "stopped":True} def get_jobs_of_pilot(self, pilot_url): pilot_url = self.get_url(pilot_url + "/jobs") """ returns array of job_url that are associated with a pilot """ pilot_dir = saga.advert.directory(saga.url(pilot_url), saga.advert.Create | saga.advert.CreateParents | saga.advert.ReadWrite) jobs = pilot_dir.list() j = [self.__remove_dbtype(pilot_url) + "/" + i.get_string() for i in jobs] return j def delete_pilot(self, pilot_url): pilot_url = self.get_url(pilot_url) pilot_dir = saga.advert.directory(saga.url(pilot_url), saga.advert.Create | saga.advert.CreateParents | saga.advert.ReadWrite) pilot_dir.remove(pilot_url, saga.name_space.Recursive) ##################################################################################### # Sub-Job State def set_job_state(self, job_url, new_state): self.resource_lock.acquire() job_url = self.get_url(job_url) logger.debug("Set state of job: " + str(job_url) + " to: " + str(new_state)) job_dir = saga.advert.directory(saga.url(job_url), saga.advert.Create | saga.advert.CreateParents | saga.advert.ReadWrite) job_dir.set_attribute("state", str(new_state)) self.resource_lock.release() def get_job_state(self, job_url): job_url = self.get_url(job_url) job_dir = saga.advert.directory(saga.url(job_url), saga.advert.Read) state = job_dir.get_attribute("state") #logger.debug("Get state of job: " + str(job_url) + " state: " + str(state)) return state ##################################################################################### # Sub-Job Description def set_job(self, job_url, job_dict): job_dir_url = self.get_url(job_url) job_description_url = self.get_url(job_url+"/job-description") logger.debug("Job URL: %s, Job Description URL: %s"%(job_dir_url, job_description_url)) #job_dir = saga.advert.directory(saga.url(job_dir_url), # saga.advert.Create | saga.advert.CreateParents | saga.advert.ReadWrite) # directory is recursively created job_desc_entry = saga.advert.entry(saga.url(job_description_url), saga.advert.Create | saga.advert.CreateParents | saga.advert.ReadWrite) logger.debug("initialized advert entry for job: " + job_dir_url) job_desc_entry.store_string(json.dumps(job_dict)) self.set_job_state(job_url, str(saga.job.Unknown)) def get_job(self, job_url): #job_dir = saga.advert.directory(saga.url(job_url), # saga.advert.Create | saga.advert.CreateParents | saga.advert.ReadWrite) job_url = self.get_url(job_url+"/job-description") logger.debug("Get job description from: %s"%(job_url)) job_desc_entry = saga.advert.entry(saga.url(job_url), saga.advert.Read) job_dict = json.loads(job_desc_entry.retrieve_string()) return job_dict def delete_job(self, job_url): job_url = self.get_url(job_url) job_dir = saga.advert.directory(saga.url(job_url), saga.advert.Create | saga.advert.CreateParents | saga.advert.ReadWrite) job_dir.remove(job_url, saga.name_space.Recursive) ##################################################################################### # Distributed queue for sub-jobs def queue_job(self, pilot_url, job_url): self.resource_lock.acquire() #pilot_url = self.get_url(pilot_url) job_url = self.get_url(job_url) """ queue new job to pilot """ new_job_url = self.get_url(pilot_url + "/new/" + str(uuid.uuid1())) logger.debug("Job URL: %s Create new job entry at: %s"%(job_url,new_job_url)) new_job_dir = saga.advert.directory(saga.url(new_job_url), saga.advert.Create | saga.advert.CreateParents | saga.advert.ReadWrite) new_job_dir.set_attribute("joburl", job_url) self.resource_lock.release() def dequeue_job(self, pilot_url): """ deque to new job of a certain pilot """ self.resource_lock.acquire() #pilot_url = self.get_url(pilot_url) jobs = [] new_job_dir_url = self.get_url(pilot_url + "/new/") new_job_dir = saga.advert.directory(saga.url(new_job_dir_url), saga.advert.Create | saga.advert.CreateParents | saga.advert.ReadWrite) new_jobs = new_job_dir.list() logger.debug("Pilot Job base dir: " + new_job_dir_url + " #new jobs: " + str(len(new_jobs)) + " jobs: " + str(new_jobs)); if len(new_jobs)>=1: job_entry=new_jobs[0] job_dir_url = self.get_url(pilot_url + "/new/" + "/" + job_entry.get_string()) logger.debug("Open job at " + str(job_dir_url)) job_dir = saga.advert.directory(saga.url(job_dir_url), saga.advert.Create | saga.advert.CreateParents | saga.advert.ReadWrite) #new_job_dir.open_dir(job_entry) job_url = job_dir.get_attribute("joburl") #remove old job entry job_dir.remove(self.__remove_dbtype(job_dir_url), saga.name_space.Recursive) logger.debug("Dequeued new job: " + str(job_url)) self.resource_lock.release() return self.__remove_dbtype(job_url) else: self.resource_lock.release() time.sleep(1) return def __remove_dbtype(self, url): surl = saga.url(url) surl.query="" return str(surl)

[ "andre.luckow@googlemail.com" ]

andre.luckow@googlemail.com

fa7264b8bb082206bfe3b7ea7a9b342faa9df986

f90a0daeaaba3ad9318d698b37ad9cfd116a4dc3

/071/02.py

bb9b4cca40a3b9aa44dea46e612b6d0ca818dc83

[]

no_license

bulbazavriq/python-basis

650b368fc412356735e97de1decdb8e4675cc202

4741e72dad5d885b2a25c5fdbdf0ad1bdb2545d6

refs/heads/master

2022-10-09T18:58:35.976476

2020-06-07T10:44:12

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73

py

q = 0 w = 0 for i in range(10): q += 1 w += 0.435 print(q, w)

[ "viktor.kluchkovsky@gmail.com" ]

viktor.kluchkovsky@gmail.com

86b72479d26fedf5ce24e5ad619bc28e2fa7f51f

3ec39bbe3fa0e7dfed9f5630c64c334ff8c6e084

/test/services/DummyRestOperations.py

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[ "MIT" ]

permissive

banalna/pip-services3-rpc-python

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2021-03-25T00:12:30.324815

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# -*- coding: utf-8 -*- """ test.rest.DummyRestService ~~~~~~~~~~~~~~~~~~~~~~~~~~ Dummy REST service :copyright: Conceptual Vision Consulting LLC 2015-2016, see AUTHORS for more details. :license: MIT, see LICENSE for more details. """ from abc import ABC import threading from pip_services3_commons.data import FilterParams, PagingParams, IdGenerator from pip_services3_commons.refer import Descriptor from pip_services3_rpc.services import RestOperations, AboutOperations,\ StatusOperations, HeartBeatOperations class DummyRestOperations(RestOperations, ABC): _controller = None def __init__(self): super(DummyRestOperations, self).__init__() self._dependency_resolver.put('controller', Descriptor('pip-services-dummies', 'controller', 'default', '*', '*')) def set_references(self, references): super(DummyRestOperations, self).set_references(references) self._controller = self._dependency_resolver.get_one_required('controller') def get_page_by_filter(self): correlation_id = self._get_correlation_id() filters = self._get_filter_params() paging = self._get_paging_params() return self._send_result(self._controller.get_page_by_filter(correlation_id, filters, paging)) def get_one_by_id(self, id): correlation_id = self._get_correlation_id() return self._send_result(self._controller.get_one_by_id(correlation_id, id)) def create(self): correlation_id = self._get_correlation_id() entity = self._get_data() return self._send_created_result(self._controller.create(correlation_id, entity)) def update(self, id): correlation_id = self._get_correlation_id() entity = self._get_data() return self._send_result(self._controller.update(correlation_id, entity)) def delete_by_id(self, id): correlation_id = self._get_correlation_id() self._controller.delete_by_id(correlation_id, id) return self._send_deleted_result() def handled_error(self): raise UnsupportedError('NotSupported', 'Test handled error') def unhandled_error(self): raise TypeError('Test unhandled error') def send_bad_request(self, req, message): return self._send_bad_request(req, message)

[ "anastasf/2gmail.com" ]

anastasf/2gmail.com

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7b5ead64623c151afccb33916e9cd58b6e7c0dad

/tests/lib/test_hash.py

f1b9d463fc5e2152511ddf904b916f52876fe0d2

[ "MIT" ]

permissive

lbtcio/lbtc-lightwallet-server

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refs/heads/master

2021-08-07T10:06:22.753614

2021-07-20T03:17:06

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# # Tests of lib/hash.py # import pytest import lib.hash as lib_hash def test_sha256(): assert lib_hash.sha256(b'sha256') == b'][\t\xf6\xdc\xb2\xd5:_\xff\xc6\x0cJ\xc0\xd5_\xab\xdfU`i\xd6c\x15E\xf4*\xa6\xe3P\x0f.' with pytest.raises(TypeError): lib_hash.sha256('sha256') def ripemd160(x): assert lib_hash.ripemd160(b'ripemd160') == b'\x903\x91\xa1\xc0I\x9e\xc8\xdf\xb5\x1aSK\xa5VW\xf9|W\xd5' with pytest.raises(TypeError): lib_hash.ripemd160('ripemd160') def test_double_sha256(): assert lib_hash.double_sha256(b'double_sha256') == b'ksn\x8e\xb7\xb9\x0f\xf6\xd9\xad\x88\xd9#\xa1\xbcU(j1Bx\xce\xd5;s\xectL\xe7\xc5\xb4\x00' def test_hmac_sha512(): assert lib_hash.hmac_sha512(b'key', b'message') == b"\xe4w8M|\xa2)\xdd\x14&\xe6Kc\xeb\xf2\xd3n\xbdm~f\x9ag5BNr\xeal\x01\xd3\xf8\xb5n\xb3\x9c6\xd8#/T'\x99\x9b\x8d\x1a?\x9c\xd1\x12\x8f\xc6\x9fMu\xb44!h\x10\xfa6~\x98" def test_hash160(): assert lib_hash.hash160(b'hash_160') == b'\xb3\x96\x94\xfc\x978R\xa7)XqY\xbb\xdc\xeb\xac\xa7%\xb8$' def test_hash_to_hex_str(): assert lib_hash.hash_to_hex_str(b'hash_to_str') == '7274735f6f745f68736168' def test_hex_str_to_hash(): assert lib_hash.hex_str_to_hash('7274735f6f745f68736168') == b'hash_to_str' def test_Base58_char_value(): chars = '123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz' for value, c in enumerate(chars): assert lib_hash.Base58.char_value(c) == value for c in (' ', 'I', '0', 'l', 'O'): with pytest.raises(lib_hash.Base58Error): lib_hash.Base58.char_value(c) def test_Base58_decode(): with pytest.raises(TypeError): lib_hash.Base58.decode(b'foo') with pytest.raises(lib_hash.Base58Error): lib_hash.Base58.decode('') assert lib_hash.Base58.decode('123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz') == b'\x00\x01\x11\xd3\x8e_\xc9\x07\x1f\xfc\xd2\x0bJv<\xc9\xaeO%+\xb4\xe4\x8f\xd6j\x83^%*\xda\x93\xffH\rm\xd4=\xc6*d\x11U\xa5' assert lib_hash.Base58.decode('3i37NcgooY8f1S') == b'0123456789' def test_Base58_encode(): with pytest.raises(TypeError): lib_hash.Base58.encode('foo') assert lib_hash.Base58.encode(b'') == '' assert lib_hash.Base58.encode(b'\0') == '1' assert lib_hash.Base58.encode(b'0123456789') == '3i37NcgooY8f1S' def test_Base58_decode_check(): with pytest.raises(TypeError): lib_hash.Base58.decode_check(b'foo') assert lib_hash.Base58.decode_check('4t9WKfuAB8') == b'foo' with pytest.raises(lib_hash.Base58Error): lib_hash.Base58.decode_check('4t9WKfuAB9') def test_Base58_encode_check(): with pytest.raises(TypeError): lib_hash.Base58.encode_check('foo') assert lib_hash.Base58.encode_check(b'foo') == '4t9WKfuAB8'

[ "hhw_505@aliyun.com" ]

hhw_505@aliyun.com

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/rabbitmq/pubsub-sender.py

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[]

no_license

shaweiguo/data

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refs/heads/master

2020-04-14T19:11:16.111666

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#!/usr/bin/env python import pika import sys credentials = pika.PlainCredentials('sha', 'q1w2e3r4') params = pika.ConnectionParameters('localhost', 5672, '/', credentials) connection = pika.BlockingConnection(params) channel = connection.channel() exchange_name = 'logs' channel.exchange_declare(exchange=exchange_name, exchange_type='fanout') msg = ' '.join(sys.argv[1:]) or 'Hello World!' channel.basic_publish(exchange=exchange_name, routing_key='', body=msg) print(' [x] Sent {}'.format(msg)) connection.close()

[ "shaweiguo@ymail.com" ]

shaweiguo@ymail.com

34bb6445f00d9621cf5292b1cce7d15810c84517

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/sdk/python/pulumi_azure_native/network/v20200401/subnet.py

0ecff6d9550f22f697d112fea16ae321ebc0b80a

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permissive

johnbirdau/pulumi-azure-native

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2023-05-06T06:48:05.040357

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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from ... import _utilities from . import outputs from ._enums import * from ._inputs import * __all__ = ['SubnetArgs', 'Subnet'] @pulumi.input_type class SubnetArgs: def __init__(__self__, *, resource_group_name: pulumi.Input[str], virtual_network_name: pulumi.Input[str], address_prefix: Optional[pulumi.Input[str]] = None, address_prefixes: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, delegations: Optional[pulumi.Input[Sequence[pulumi.Input['DelegationArgs']]]] = None, id: Optional[pulumi.Input[str]] = None, ip_allocations: Optional[pulumi.Input[Sequence[pulumi.Input['SubResourceArgs']]]] = None, name: Optional[pulumi.Input[str]] = None, nat_gateway: Optional[pulumi.Input['SubResourceArgs']] = None, network_security_group: Optional[pulumi.Input['NetworkSecurityGroupArgs']] = None, private_endpoint_network_policies: Optional[pulumi.Input[str]] = None, private_link_service_network_policies: Optional[pulumi.Input[str]] = None, route_table: Optional[pulumi.Input['RouteTableArgs']] = None, service_endpoint_policies: Optional[pulumi.Input[Sequence[pulumi.Input['ServiceEndpointPolicyArgs']]]] = None, service_endpoints: Optional[pulumi.Input[Sequence[pulumi.Input['ServiceEndpointPropertiesFormatArgs']]]] = None, subnet_name: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a Subnet resource. :param pulumi.Input[str] resource_group_name: The name of the resource group. :param pulumi.Input[str] virtual_network_name: The name of the virtual network. :param pulumi.Input[str] address_prefix: The address prefix for the subnet. :param pulumi.Input[Sequence[pulumi.Input[str]]] address_prefixes: List of address prefixes for the subnet. :param pulumi.Input[Sequence[pulumi.Input['DelegationArgs']]] delegations: An array of references to the delegations on the subnet. :param pulumi.Input[str] id: Resource ID. :param pulumi.Input[Sequence[pulumi.Input['SubResourceArgs']]] ip_allocations: Array of IpAllocation which reference this subnet. :param pulumi.Input[str] name: The name of the resource that is unique within a resource group. This name can be used to access the resource. :param pulumi.Input['SubResourceArgs'] nat_gateway: Nat gateway associated with this subnet. :param pulumi.Input['NetworkSecurityGroupArgs'] network_security_group: The reference to the NetworkSecurityGroup resource. :param pulumi.Input[str] private_endpoint_network_policies: Enable or Disable apply network policies on private end point in the subnet. :param pulumi.Input[str] private_link_service_network_policies: Enable or Disable apply network policies on private link service in the subnet. :param pulumi.Input['RouteTableArgs'] route_table: The reference to the RouteTable resource. :param pulumi.Input[Sequence[pulumi.Input['ServiceEndpointPolicyArgs']]] service_endpoint_policies: An array of service endpoint policies. :param pulumi.Input[Sequence[pulumi.Input['ServiceEndpointPropertiesFormatArgs']]] service_endpoints: An array of service endpoints. :param pulumi.Input[str] subnet_name: The name of the subnet. """ pulumi.set(__self__, "resource_group_name", resource_group_name) pulumi.set(__self__, "virtual_network_name", virtual_network_name) if address_prefix is not None: pulumi.set(__self__, "address_prefix", address_prefix) if address_prefixes is not None: pulumi.set(__self__, "address_prefixes", address_prefixes) if delegations is not None: pulumi.set(__self__, "delegations", delegations) if id is not None: pulumi.set(__self__, "id", id) if ip_allocations is not None: pulumi.set(__self__, "ip_allocations", ip_allocations) if name is not None: pulumi.set(__self__, "name", name) if nat_gateway is not None: pulumi.set(__self__, "nat_gateway", nat_gateway) if network_security_group is not None: pulumi.set(__self__, "network_security_group", network_security_group) if private_endpoint_network_policies is not None: pulumi.set(__self__, "private_endpoint_network_policies", private_endpoint_network_policies) if private_link_service_network_policies is not None: pulumi.set(__self__, "private_link_service_network_policies", private_link_service_network_policies) if route_table is not None: pulumi.set(__self__, "route_table", route_table) if service_endpoint_policies is not None: pulumi.set(__self__, "service_endpoint_policies", service_endpoint_policies) if service_endpoints is not None: pulumi.set(__self__, "service_endpoints", service_endpoints) if subnet_name is not None: pulumi.set(__self__, "subnet_name", subnet_name) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Input[str]: """ The name of the resource group. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: pulumi.Input[str]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="virtualNetworkName") def virtual_network_name(self) -> pulumi.Input[str]: """ The name of the virtual network. """ return pulumi.get(self, "virtual_network_name") @virtual_network_name.setter def virtual_network_name(self, value: pulumi.Input[str]): pulumi.set(self, "virtual_network_name", value) @property @pulumi.getter(name="addressPrefix") def address_prefix(self) -> Optional[pulumi.Input[str]]: """ The address prefix for the subnet. """ return pulumi.get(self, "address_prefix") @address_prefix.setter def address_prefix(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "address_prefix", value) @property @pulumi.getter(name="addressPrefixes") def address_prefixes(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ List of address prefixes for the subnet. """ return pulumi.get(self, "address_prefixes") @address_prefixes.setter def address_prefixes(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "address_prefixes", value) @property @pulumi.getter def delegations(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['DelegationArgs']]]]: """ An array of references to the delegations on the subnet. """ return pulumi.get(self, "delegations") @delegations.setter def delegations(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['DelegationArgs']]]]): pulumi.set(self, "delegations", value) @property @pulumi.getter def id(self) -> Optional[pulumi.Input[str]]: """ Resource ID. """ return pulumi.get(self, "id") @id.setter def id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "id", value) @property @pulumi.getter(name="ipAllocations") def ip_allocations(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['SubResourceArgs']]]]: """ Array of IpAllocation which reference this subnet. """ return pulumi.get(self, "ip_allocations") @ip_allocations.setter def ip_allocations(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['SubResourceArgs']]]]): pulumi.set(self, "ip_allocations", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name of the resource that is unique within a resource group. This name can be used to access the resource. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="natGateway") def nat_gateway(self) -> Optional[pulumi.Input['SubResourceArgs']]: """ Nat gateway associated with this subnet. """ return pulumi.get(self, "nat_gateway") @nat_gateway.setter def nat_gateway(self, value: Optional[pulumi.Input['SubResourceArgs']]): pulumi.set(self, "nat_gateway", value) @property @pulumi.getter(name="networkSecurityGroup") def network_security_group(self) -> Optional[pulumi.Input['NetworkSecurityGroupArgs']]: """ The reference to the NetworkSecurityGroup resource. """ return pulumi.get(self, "network_security_group") @network_security_group.setter def network_security_group(self, value: Optional[pulumi.Input['NetworkSecurityGroupArgs']]): pulumi.set(self, "network_security_group", value) @property @pulumi.getter(name="privateEndpointNetworkPolicies") def private_endpoint_network_policies(self) -> Optional[pulumi.Input[str]]: """ Enable or Disable apply network policies on private end point in the subnet. """ return pulumi.get(self, "private_endpoint_network_policies") @private_endpoint_network_policies.setter def private_endpoint_network_policies(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "private_endpoint_network_policies", value) @property @pulumi.getter(name="privateLinkServiceNetworkPolicies") def private_link_service_network_policies(self) -> Optional[pulumi.Input[str]]: """ Enable or Disable apply network policies on private link service in the subnet. """ return pulumi.get(self, "private_link_service_network_policies") @private_link_service_network_policies.setter def private_link_service_network_policies(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "private_link_service_network_policies", value) @property @pulumi.getter(name="routeTable") def route_table(self) -> Optional[pulumi.Input['RouteTableArgs']]: """ The reference to the RouteTable resource. """ return pulumi.get(self, "route_table") @route_table.setter def route_table(self, value: Optional[pulumi.Input['RouteTableArgs']]): pulumi.set(self, "route_table", value) @property @pulumi.getter(name="serviceEndpointPolicies") def service_endpoint_policies(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ServiceEndpointPolicyArgs']]]]: """ An array of service endpoint policies. """ return pulumi.get(self, "service_endpoint_policies") @service_endpoint_policies.setter def service_endpoint_policies(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ServiceEndpointPolicyArgs']]]]): pulumi.set(self, "service_endpoint_policies", value) @property @pulumi.getter(name="serviceEndpoints") def service_endpoints(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ServiceEndpointPropertiesFormatArgs']]]]: """ An array of service endpoints. """ return pulumi.get(self, "service_endpoints") @service_endpoints.setter def service_endpoints(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ServiceEndpointPropertiesFormatArgs']]]]): pulumi.set(self, "service_endpoints", value) @property @pulumi.getter(name="subnetName") def subnet_name(self) -> Optional[pulumi.Input[str]]: """ The name of the subnet. """ return pulumi.get(self, "subnet_name") @subnet_name.setter def subnet_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "subnet_name", value) class Subnet(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, address_prefix: Optional[pulumi.Input[str]] = None, address_prefixes: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, delegations: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DelegationArgs']]]]] = None, id: Optional[pulumi.Input[str]] = None, ip_allocations: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['SubResourceArgs']]]]] = None, name: Optional[pulumi.Input[str]] = None, nat_gateway: Optional[pulumi.Input[pulumi.InputType['SubResourceArgs']]] = None, network_security_group: Optional[pulumi.Input[pulumi.InputType['NetworkSecurityGroupArgs']]] = None, private_endpoint_network_policies: Optional[pulumi.Input[str]] = None, private_link_service_network_policies: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, route_table: Optional[pulumi.Input[pulumi.InputType['RouteTableArgs']]] = None, service_endpoint_policies: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ServiceEndpointPolicyArgs']]]]] = None, service_endpoints: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ServiceEndpointPropertiesFormatArgs']]]]] = None, subnet_name: Optional[pulumi.Input[str]] = None, virtual_network_name: Optional[pulumi.Input[str]] = None, __props__=None): """ Subnet in a virtual network resource. :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] address_prefix: The address prefix for the subnet. :param pulumi.Input[Sequence[pulumi.Input[str]]] address_prefixes: List of address prefixes for the subnet. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DelegationArgs']]]] delegations: An array of references to the delegations on the subnet. :param pulumi.Input[str] id: Resource ID. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['SubResourceArgs']]]] ip_allocations: Array of IpAllocation which reference this subnet. :param pulumi.Input[str] name: The name of the resource that is unique within a resource group. This name can be used to access the resource. :param pulumi.Input[pulumi.InputType['SubResourceArgs']] nat_gateway: Nat gateway associated with this subnet. :param pulumi.Input[pulumi.InputType['NetworkSecurityGroupArgs']] network_security_group: The reference to the NetworkSecurityGroup resource. :param pulumi.Input[str] private_endpoint_network_policies: Enable or Disable apply network policies on private end point in the subnet. :param pulumi.Input[str] private_link_service_network_policies: Enable or Disable apply network policies on private link service in the subnet. :param pulumi.Input[str] resource_group_name: The name of the resource group. :param pulumi.Input[pulumi.InputType['RouteTableArgs']] route_table: The reference to the RouteTable resource. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ServiceEndpointPolicyArgs']]]] service_endpoint_policies: An array of service endpoint policies. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ServiceEndpointPropertiesFormatArgs']]]] service_endpoints: An array of service endpoints. :param pulumi.Input[str] subnet_name: The name of the subnet. :param pulumi.Input[str] virtual_network_name: The name of the virtual network. """ ... @overload def __init__(__self__, resource_name: str, args: SubnetArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Subnet in a virtual network resource. :param str resource_name: The name of the resource. :param SubnetArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(SubnetArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, address_prefix: Optional[pulumi.Input[str]] = None, address_prefixes: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, delegations: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['DelegationArgs']]]]] = None, id: Optional[pulumi.Input[str]] = None, ip_allocations: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['SubResourceArgs']]]]] = None, name: Optional[pulumi.Input[str]] = None, nat_gateway: Optional[pulumi.Input[pulumi.InputType['SubResourceArgs']]] = None, network_security_group: Optional[pulumi.Input[pulumi.InputType['NetworkSecurityGroupArgs']]] = None, private_endpoint_network_policies: Optional[pulumi.Input[str]] = None, private_link_service_network_policies: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, route_table: Optional[pulumi.Input[pulumi.InputType['RouteTableArgs']]] = None, service_endpoint_policies: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ServiceEndpointPolicyArgs']]]]] = None, service_endpoints: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ServiceEndpointPropertiesFormatArgs']]]]] = None, subnet_name: Optional[pulumi.Input[str]] = None, virtual_network_name: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = SubnetArgs.__new__(SubnetArgs) __props__.__dict__["address_prefix"] = address_prefix __props__.__dict__["address_prefixes"] = address_prefixes __props__.__dict__["delegations"] = delegations __props__.__dict__["id"] = id __props__.__dict__["ip_allocations"] = ip_allocations __props__.__dict__["name"] = name __props__.__dict__["nat_gateway"] = nat_gateway __props__.__dict__["network_security_group"] = network_security_group __props__.__dict__["private_endpoint_network_policies"] = private_endpoint_network_policies __props__.__dict__["private_link_service_network_policies"] = private_link_service_network_policies if resource_group_name is None and not opts.urn: raise TypeError("Missing required property 'resource_group_name'") __props__.__dict__["resource_group_name"] = resource_group_name __props__.__dict__["route_table"] = route_table __props__.__dict__["service_endpoint_policies"] = service_endpoint_policies __props__.__dict__["service_endpoints"] = service_endpoints __props__.__dict__["subnet_name"] = subnet_name if virtual_network_name is None and not opts.urn: raise TypeError("Missing required property 'virtual_network_name'") __props__.__dict__["virtual_network_name"] = virtual_network_name __props__.__dict__["etag"] = None __props__.__dict__["ip_configuration_profiles"] = None __props__.__dict__["ip_configurations"] = None __props__.__dict__["private_endpoints"] = None __props__.__dict__["provisioning_state"] = None __props__.__dict__["purpose"] = None __props__.__dict__["resource_navigation_links"] = None __props__.__dict__["service_association_links"] = None alias_opts = pulumi.ResourceOptions(aliases=[pulumi.Alias(type_="azure-nextgen:network/v20200401:Subnet"), pulumi.Alias(type_="azure-native:network:Subnet"), pulumi.Alias(type_="azure-nextgen:network:Subnet"), pulumi.Alias(type_="azure-native:network/v20150501preview:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20150501preview:Subnet"), pulumi.Alias(type_="azure-native:network/v20150615:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20150615:Subnet"), pulumi.Alias(type_="azure-native:network/v20160330:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20160330:Subnet"), pulumi.Alias(type_="azure-native:network/v20160601:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20160601:Subnet"), pulumi.Alias(type_="azure-native:network/v20160901:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20160901:Subnet"), pulumi.Alias(type_="azure-native:network/v20161201:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20161201:Subnet"), pulumi.Alias(type_="azure-native:network/v20170301:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20170301:Subnet"), pulumi.Alias(type_="azure-native:network/v20170601:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20170601:Subnet"), pulumi.Alias(type_="azure-native:network/v20170801:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20170801:Subnet"), pulumi.Alias(type_="azure-native:network/v20170901:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20170901:Subnet"), pulumi.Alias(type_="azure-native:network/v20171001:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20171001:Subnet"), pulumi.Alias(type_="azure-native:network/v20171101:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20171101:Subnet"), pulumi.Alias(type_="azure-native:network/v20180101:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20180101:Subnet"), pulumi.Alias(type_="azure-native:network/v20180201:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20180201:Subnet"), pulumi.Alias(type_="azure-native:network/v20180401:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20180401:Subnet"), pulumi.Alias(type_="azure-native:network/v20180601:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20180601:Subnet"), pulumi.Alias(type_="azure-native:network/v20180701:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20180701:Subnet"), pulumi.Alias(type_="azure-native:network/v20180801:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20180801:Subnet"), pulumi.Alias(type_="azure-native:network/v20181001:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20181001:Subnet"), pulumi.Alias(type_="azure-native:network/v20181101:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20181101:Subnet"), pulumi.Alias(type_="azure-native:network/v20181201:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20181201:Subnet"), pulumi.Alias(type_="azure-native:network/v20190201:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20190201:Subnet"), pulumi.Alias(type_="azure-native:network/v20190401:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20190401:Subnet"), pulumi.Alias(type_="azure-native:network/v20190601:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20190601:Subnet"), pulumi.Alias(type_="azure-native:network/v20190701:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20190701:Subnet"), pulumi.Alias(type_="azure-native:network/v20190801:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20190801:Subnet"), pulumi.Alias(type_="azure-native:network/v20190901:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20190901:Subnet"), pulumi.Alias(type_="azure-native:network/v20191101:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20191101:Subnet"), pulumi.Alias(type_="azure-native:network/v20191201:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20191201:Subnet"), pulumi.Alias(type_="azure-native:network/v20200301:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20200301:Subnet"), pulumi.Alias(type_="azure-native:network/v20200501:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20200501:Subnet"), pulumi.Alias(type_="azure-native:network/v20200601:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20200601:Subnet"), pulumi.Alias(type_="azure-native:network/v20200701:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20200701:Subnet"), pulumi.Alias(type_="azure-native:network/v20200801:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20200801:Subnet"), pulumi.Alias(type_="azure-native:network/v20201101:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20201101:Subnet"), pulumi.Alias(type_="azure-native:network/v20210201:Subnet"), pulumi.Alias(type_="azure-nextgen:network/v20210201:Subnet")]) opts = pulumi.ResourceOptions.merge(opts, alias_opts) super(Subnet, __self__).__init__( 'azure-native:network/v20200401:Subnet', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None) -> 'Subnet': """ Get an existing Subnet resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = SubnetArgs.__new__(SubnetArgs) __props__.__dict__["address_prefix"] = None __props__.__dict__["address_prefixes"] = None __props__.__dict__["delegations"] = None __props__.__dict__["etag"] = None __props__.__dict__["ip_allocations"] = None __props__.__dict__["ip_configuration_profiles"] = None __props__.__dict__["ip_configurations"] = None __props__.__dict__["name"] = None __props__.__dict__["nat_gateway"] = None __props__.__dict__["network_security_group"] = None __props__.__dict__["private_endpoint_network_policies"] = None __props__.__dict__["private_endpoints"] = None __props__.__dict__["private_link_service_network_policies"] = None __props__.__dict__["provisioning_state"] = None __props__.__dict__["purpose"] = None __props__.__dict__["resource_navigation_links"] = None __props__.__dict__["route_table"] = None __props__.__dict__["service_association_links"] = None __props__.__dict__["service_endpoint_policies"] = None __props__.__dict__["service_endpoints"] = None return Subnet(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="addressPrefix") def address_prefix(self) -> pulumi.Output[Optional[str]]: """ The address prefix for the subnet. """ return pulumi.get(self, "address_prefix") @property @pulumi.getter(name="addressPrefixes") def address_prefixes(self) -> pulumi.Output[Optional[Sequence[str]]]: """ List of address prefixes for the subnet. """ return pulumi.get(self, "address_prefixes") @property @pulumi.getter def delegations(self) -> pulumi.Output[Optional[Sequence['outputs.DelegationResponse']]]: """ An array of references to the delegations on the subnet. """ return pulumi.get(self, "delegations") @property @pulumi.getter def etag(self) -> pulumi.Output[str]: """ A unique read-only string that changes whenever the resource is updated. """ return pulumi.get(self, "etag") @property @pulumi.getter(name="ipAllocations") def ip_allocations(self) -> pulumi.Output[Optional[Sequence['outputs.SubResourceResponse']]]: """ Array of IpAllocation which reference this subnet. """ return pulumi.get(self, "ip_allocations") @property @pulumi.getter(name="ipConfigurationProfiles") def ip_configuration_profiles(self) -> pulumi.Output[Sequence['outputs.IPConfigurationProfileResponse']]: """ Array of IP configuration profiles which reference this subnet. """ return pulumi.get(self, "ip_configuration_profiles") @property @pulumi.getter(name="ipConfigurations") def ip_configurations(self) -> pulumi.Output[Sequence['outputs.IPConfigurationResponse']]: """ An array of references to the network interface IP configurations using subnet. """ return pulumi.get(self, "ip_configurations") @property @pulumi.getter def name(self) -> pulumi.Output[Optional[str]]: """ The name of the resource that is unique within a resource group. This name can be used to access the resource. """ return pulumi.get(self, "name") @property @pulumi.getter(name="natGateway") def nat_gateway(self) -> pulumi.Output[Optional['outputs.SubResourceResponse']]: """ Nat gateway associated with this subnet. """ return pulumi.get(self, "nat_gateway") @property @pulumi.getter(name="networkSecurityGroup") def network_security_group(self) -> pulumi.Output[Optional['outputs.NetworkSecurityGroupResponse']]: """ The reference to the NetworkSecurityGroup resource. """ return pulumi.get(self, "network_security_group") @property @pulumi.getter(name="privateEndpointNetworkPolicies") def private_endpoint_network_policies(self) -> pulumi.Output[Optional[str]]: """ Enable or Disable apply network policies on private end point in the subnet. """ return pulumi.get(self, "private_endpoint_network_policies") @property @pulumi.getter(name="privateEndpoints") def private_endpoints(self) -> pulumi.Output[Sequence['outputs.PrivateEndpointResponse']]: """ An array of references to private endpoints. """ return pulumi.get(self, "private_endpoints") @property @pulumi.getter(name="privateLinkServiceNetworkPolicies") def private_link_service_network_policies(self) -> pulumi.Output[Optional[str]]: """ Enable or Disable apply network policies on private link service in the subnet. """ return pulumi.get(self, "private_link_service_network_policies") @property @pulumi.getter(name="provisioningState") def provisioning_state(self) -> pulumi.Output[str]: """ The provisioning state of the subnet resource. """ return pulumi.get(self, "provisioning_state") @property @pulumi.getter def purpose(self) -> pulumi.Output[str]: """ A read-only string identifying the intention of use for this subnet based on delegations and other user-defined properties. """ return pulumi.get(self, "purpose") @property @pulumi.getter(name="resourceNavigationLinks") def resource_navigation_links(self) -> pulumi.Output[Sequence['outputs.ResourceNavigationLinkResponse']]: """ An array of references to the external resources using subnet. """ return pulumi.get(self, "resource_navigation_links") @property @pulumi.getter(name="routeTable") def route_table(self) -> pulumi.Output[Optional['outputs.RouteTableResponse']]: """ The reference to the RouteTable resource. """ return pulumi.get(self, "route_table") @property @pulumi.getter(name="serviceAssociationLinks") def service_association_links(self) -> pulumi.Output[Sequence['outputs.ServiceAssociationLinkResponse']]: """ An array of references to services injecting into this subnet. """ return pulumi.get(self, "service_association_links") @property @pulumi.getter(name="serviceEndpointPolicies") def service_endpoint_policies(self) -> pulumi.Output[Optional[Sequence['outputs.ServiceEndpointPolicyResponse']]]: """ An array of service endpoint policies. """ return pulumi.get(self, "service_endpoint_policies") @property @pulumi.getter(name="serviceEndpoints") def service_endpoints(self) -> pulumi.Output[Optional[Sequence['outputs.ServiceEndpointPropertiesFormatResponse']]]: """ An array of service endpoints. """ return pulumi.get(self, "service_endpoints")

[ "noreply@github.com" ]

johnbirdau.noreply@github.com

a4ef2d7cc0c353c839e5ba8800de8867a6695388

b6c93083b83cd0b441c2d2347b08a529e41eaa2c

/utils/munin/newsblur_tasks_pipeline.py

1588ff390bb2579e26a7724283f0b52c48959628

[ "MIT", "LicenseRef-scancode-unknown-license-reference" ]

permissive

seejay/NewsBlur

4b2b65536f38cfedc47f85708f6f23778986f951

311c5a71981c12d1389b58def94df62cb5c60575

refs/heads/master

2023-06-08T00:46:21.118450

2021-06-24T04:13:33

null

0

null

UTF-8

Python

false

1,586

py

#!/srv/newsblur/venv/newsblur/bin/python from utils.munin.base import MuninGraph import os os.environ["DJANGO_SETTINGS_MODULE"] = "newsblur.settings" import django django.setup() class NBMuninGraph(MuninGraph): @property def graph_config(self): graph = { 'graph_category' : 'NewsBlur', 'graph_title' : 'NewsBlur Task Pipeline', 'graph_vlabel' : 'Feed fetch pipeline times', 'graph_args' : '-l 0', 'feed_fetch.label': 'feed_fetch', 'feed_process.label': 'feed_process', 'page.label': 'page', 'icon.label': 'icon', 'total.label': 'total', } return graph def calculate_metrics(self): return self.stats @property def stats(self): import datetime from django.conf import settings stats = settings.MONGOANALYTICSDB.nbanalytics.feed_fetches.aggregate([{ "$match": { "date": { "$gt": datetime.datetime.now() - datetime.timedelta(minutes=5), }, }, }, { "$group": { "_id": 1, "feed_fetch": {"$avg": "$feed_fetch"}, "feed_process": {"$avg": "$feed_process"}, "page": {"$avg": "$page"}, "icon": {"$avg": "$icon"}, "total": {"$avg": "$total"}, }, }]) return list(stats)[0] if __name__ == '__main__': NBMuninGraph().run()

[ "samuel@ofbrooklyn.com" ]

samuel@ofbrooklyn.com

8156a8ec1043cac9c0e16255cf4c328252e75f17

c75376a23f93fbae7027d143d18ccd12f964bbaf

/bluelog/fakes.py

f5949dda92595d4a149f2844769dc27a4e9b9ee1

[]

no_license

bututouofScientist/bluelogtem

3b2398d98c0577a45cc6375bc77ebb7fdd546899

7b29020914bbdb0634fad066b6bcb20fc883db51

refs/heads/master

2023-04-18T14:59:34.191303

2021-04-15T10:25:26

358,216,946

0

null

UTF-8

Python

false

3,190

py

import random from faker import Faker from sqlalchemy.exc import IntegrityError from bluelog import db from bluelog.models import Admin, Category, Post, Comment, Link fake = Faker() def fake_admin(): admin = Admin( username='admin', blog_title='Bluelog', blog_sub_title="No, I'm the real thing.", name='Mima Kirigoe', about='Um, l, Mima Kirigoe, had a fun time as a member of CHAM...' ) db.session.add(admin) db.session.commit() def fake_categories(count=10): category = Category(name='Default') db.session.add(category) for i in range(count): category = Category(name=fake.word()) db.session.add(category) try: db.session.commit() except IntegrityError: db.session.rollback() def fake_posts(count=50): for i in range(count): post = Post( title=fake.sentence(), body=fake.text(2000), category=Category.query.get(random.randint(1, Category.query.count())), timestamp=fake.date_time_this_year() ) db.session.add(post) db.session.commit() def fake_comments(count=500): for i in range(count): comment = Comment( author=fake.name(), email=fake.email(), site=fake.url(), body=fake.sentence(), timestamp=fake.date_time_this_year(), reviewed=True, post=Post.query.get(random.randint(1, Post.query.count())) ) db.session.add(comment) salt = int(count * 0.1) for i in range(salt): # unreviewed comments comment = Comment( author=fake.name(), email=fake.email(), site=fake.url(), body=fake.sentence(), timestamp=fake.date_time_this_year(), reviewed=False, post=Post.query.get(random.randint(1, Post.query.count())) ) db.session.add(comment) # from admin comment = Comment( author='Mima Kirigoe', email='mima@example.com', site='example.com', body=fake.sentence(), timestamp=fake.date_time_this_year(), from_admin=True, reviewed=True, post=Post.query.get(random.randint(1, Post.query.count())) ) db.session.add(comment) db.session.commit() # replies for i in range(salt): comment = Comment( author=fake.name(), email=fake.email(), site=fake.url(), body=fake.sentence(), timestamp=fake.date_time_this_year(), reviewed=True, replied=Comment.query.get(random.randint(1, Comment.query.count())), post=Post.query.get(random.randint(1, Post.query.count())) ) db.session.add(comment) db.session.commit() def fake_links(): twitter = Link(name='Twitter', url='#') facebook = Link(name='Facebook', url='#') linkedin = Link(name='LinkedIn', url='#') google = Link(name='Google+', url='#') db.session.add_all([twitter, facebook, linkedin, google]) db.session.commit()

[ "690764925@qq.com" ]

690764925@qq.com

c15b6b0d315719168a07c0479432a673d7a637e0

04462eb2f7ebdc7ac945a63b4c3d9aeeed4920de

/backend/manage.py

def0f48d666b41a0a606ea608b6da7db9b2260b2

[]

no_license

crowdbotics-apps/yoyo-28319

7a1d86d1b713cbd523c23242bfb8014376333b74

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refs/heads/master

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#!/usr/bin/env python """Django's command-line utility for administrative tasks.""" import os import sys def main(): os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'yoyo_28319.settings') try: from django.core.management import execute_from_command_line except ImportError as exc: raise ImportError( "Couldn't import Django. Are you sure it's installed and " "available on your PYTHONPATH environment variable? Did you " "forget to activate a virtual environment?" ) from exc execute_from_command_line(sys.argv) if __name__ == '__main__': main()

[ "team@crowdbotics.com" ]

team@crowdbotics.com

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/implicit_one_step/driver.py

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#!/usr/bin/env python3 # # Main routine to test various DIRK and IRK methods on the # scalar-valued ODE problem # y' = lambda*y + (1-lambda)*cos(t) - (1+lambda)*sin(t), t in [0,5], # y(0) = 1. # # D.R. Reynolds # Math 6321 @ SMU # Fall 2023 import numpy as np import sys sys.path.append('..') from shared.ImplicitSolver import * from DIRK import * from IRK import * # problem time interval and parameters t0 = 0.0 tf = 5.0 lam = 0.0 # flag to switch between dense and iterative linear solvers iterative = True # problem-defining functions def ytrue(t): """ Generates a numpy array containing the true solution to the IVP at a given input t. """ return np.array( [np.sin(t) + np.cos(t)] ) def f(t,y): """ Right-hand side function, f(t,y), for the IVP """ return np.array( [lam*y[0] + (1.0-lam)*np.cos(t) - (1.0+lam)*np.sin(t)] ) def J(t,y): """ Jacobian (in dense matrix format) of the right-hand side function, J(t,y) = df/dy """ return np.array( [ [lam] ] ) def Jv(t,y,v): """ Jacobian-vector-product of the right-hand side function, J(t,y) = (df/dy)@v """ return np.array( [lam*v[0]] ) # construct implicit solver if (iterative): solver = ImplicitSolver(Jv, solver_type='gmres', maxiter=20, rtol=1e-9, atol=1e-12) else: solver = ImplicitSolver(J, solver_type='dense', maxiter=20, rtol=1e-9, atol=1e-12, Jfreq=2) # shared testing data Nout = 6 # includes initial condition tspan = np.linspace(t0, tf, Nout) Ytrue = np.zeros((Nout, 1)) for i in range(Nout): Ytrue[i,:] = ytrue(tspan[i]) y0 = ytrue(t0) lambdas = np.array( (-1.0, -10.0, -50.0) ) hvals = 1.0 / np.linspace(1, 7, 7) errs = np.zeros(hvals.size) # test runner function def RunTest(stepper, name): print("\n", name, " tests:", sep='') # loop over stiffness values for lam in lambdas: # update rhs function, Jacobian, integrators, and implicit solver def f(t,y): """ Right-hand side function, f(t,y), for the IVP """ return np.array([lam*y[0] + (1.0-lam)*np.cos(t) - (1.0+lam)*np.sin(t)]) def J(t,y): """ Jacobian (dense) of the right-hand side function, J(t,y) = df/dy """ return np.array( [ [lam] ] ) def Jv(t,y,v): """ Jacobian-vector product, J(t,y)@v = (df/dy)@v """ return np.array( [lam*v[0]] ) stepper.f = f if (iterative): stepper.sol.f_y = Jv else: stepper.sol.f_y = J print(" lambda = " , lam, ":", sep='') for idx, h in enumerate(hvals): print(" h = %.3f:" % (h), sep='', end='') stepper.reset() stepper.sol.reset() Y, success = stepper.Evolve(tspan, y0, h) Yerr = np.abs(Y-Ytrue) errs[idx] = np.linalg.norm(Yerr,np.inf) if (success): print(" solves = %4i Niters = %6i NJevals = %5i abserr = %8.2e" % (stepper.get_num_solves(), stepper.sol.get_total_iters(), stepper.sol.get_total_setups(), errs[idx])) orders = np.log(errs[0:-2]/errs[1:-1])/np.log(hvals[0:-2]/hvals[1:-1]) print(' estimated order: max = %.2f, avg = %.2f' % (np.max(orders), np.average(orders))) # RadauIIA2 tests A, b, c, p = RadauIIA2() RIIA2 = IRK(f, solver, A, b, c) RunTest(RIIA2, 'RadauIIA-2') # Alexander3 tests A, b, c, p = Alexander3() Alex3 = DIRK(f, solver, A, b, c) RunTest(Alex3, 'Alexander-3') # Crouzeix & Raviart tests A, b, c, p = CrouzeixRaviart3() CR3 = DIRK(f, solver, A, b, c) RunTest(CR3, 'Crouzeix & Raviart-3') # Gauss-Legendre-2 tests A, b, c, p = GaussLegendre2() GL2 = IRK(f, solver, A, b, c) RunTest(GL2, 'Gauss-Legendre-2') # RadauIIA3 tests A, b, c, p = RadauIIA3() RIIA3 = IRK(f, solver, A, b, c) RunTest(RIIA3, 'RadauIIA-3') # Gauss-Legendre-3 tests A, b, c, p = GaussLegendre3() GL3 = IRK(f, solver, A, b, c) RunTest(GL3, 'Gauss-Legendre-3') # Gauss-Legendre-6 tests A, b, c, p = GaussLegendre6() GL6 = IRK(f, solver, A, b, c) RunTest(GL6, 'Gauss-Legendre-6')

[ "reynolds@smu.edu" ]

reynolds@smu.edu

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/preprocessing/dataset_formatting/extract_targets_from_MultiPIE.py

bf78f3ad5caa196e25bae6bc31bc687bccc74aeb

[]

no_license

deZakelijke/Obfuscate

7bc0a1a36e99d771643319fb8d5f78becb8afc02

169ddb6959d71b94924e1a31e8938eec715c1bfc

refs/heads/master

2022-06-18T08:28:36.798210

2020-05-07T07:51:38

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import os from os.path import exists, join base_dir = "MultiPIE_all/" target_dir = "target_mugshots/" n_persons = 346 # max 346 if not exists(target_dir): os.makedirs(target_dir) for person in range(1, n_persons+1): for session in range(1,5): person_str = (3-len(str(person))) * '0' + str(person) filename = "{}_0{}_051_17_0.png".format(person_str, session) try: os.rename(join(base_dir, filename), join(target_dir, filename)) except: print("Person {} does not exist! Skipping...".format(person_str))

[ "git@michadegroot.nl" ]

git@michadegroot.nl

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/pang/helpers/nso.py

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kecorbin/pang

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1e35cbdf0e30cda5b428ba72fd1fe0a550854ec5

refs/heads/master

2023-01-12T18:55:54.098474

2018-09-30T03:26:56

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MIT

2022-12-26T20:38:22

2018-09-19T05:04:49

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import requests import os import errno from .files import MAKEFILE_BASE class NSO(object): def __init__(self, url, username='admin', password='admin'): self.username = username self.password = password self.base_url = url @property def headers(self): headers = { 'Content-Type': "application/vnd.yang.data+json", 'Accept': "application/vnd.yang.collection+json," "application/vnd.yang.data+json" } return headers def _utf8_encode(self, obj): if obj is None: return None if isinstance(obj, str): # noqa return obj if type(obj) is list: return [self._utf8_encode(value) for value in obj] if type(obj) is dict: obj_dest = {} for key, value in obj.items(): if 'EXEC' not in key and key != "operations": obj_dest[self._utf8_encode(key)] = self._utf8_encode(value) return obj_dest return obj def get(self, uri): url = self.base_url + uri response = requests.get(url, headers=self.headers, auth=(self.username, self.password)) if response.ok: return response else: response.raise_for_status() def get_device_config_xml(self, device): headers = { 'Content-Type': "application/vnd.yang.data+xml", 'Accept': "application/vnd.yang.collection+xml," "application/vnd.yang.data+xml" } url = '/api/config/devices/device/{}/config?deep'.format(device) url = self.base_url + url response = requests.get(url, headers=headers, auth=(self.username, self.password)) return response.text def post(self, uri, data=None): url = self.base_url + uri response = requests.post(url, headers=self.headers, auth=(self.username, self.password)) if response.ok: return response else: response.raise_for_status() def sync_from(self, device=None): if device: raise NotImplementedError else: url = "/api/config/devices/_operations/sync-from" resp = self.post(url) return resp.json() def get_device_config(self, device): """ gets device configuration from NSO """ url = '/api/config/devices/device/{}/config?deep'.format(device) resp = self.get(url) return self._utf8_encode(resp.json()) def get_device_list(self): """ returns a list of device names from NSO """ url = "/api/running/devices/device" response = self.get(url) device_list = list() for d in response.json()["collection"]["tailf-ncs:device"]: device_list.append(d["name"]) return device_list def get_ned_id(self, device): """ returns a ned id for a given device in NSO """ url = "/api/running/devices/device/{}/device-type?deep" url = url.format(device) response = self.get(url) try: # making some potentially bad assumptions here # # { # "tailf-ncs:device-type": { # "cli": { # "ned-id": "tailf-ned-cisco-nx-id:cisco-nx", # "protocol": "telnet" # } # } # } device_type = response.json()["tailf-ncs:device-type"] ned_id = device_type["cli"]["ned-id"] # tailf-ned-cisco-nx-id:cisco-nx ned_id = ned_id.split(":")[-1] # cisco-nx return ned_id except LookupError: return None def generate_netsim_configs(self, devices): device_types = dict() # deal with generating load-dir for d in devices: xml_config = self.get_device_config_xml(d) filename = 'load-dir/{0}.xml'.format(d) if not os.path.exists(os.path.dirname(filename)): try: os.makedirs(os.path.dirname(filename)) except OSError as exc: # Guard against race condition if exc.errno != errno.EEXIST: raise with open(filename, "w") as f: f.write(xml_config) # grab ned id for later ned_id = self.get_ned_id(d) if ned_id: device_types[d] = ned_id with open('Makefile', 'w') as fh: create_template = "\tncs-netsim create-device {} {}\n" add_template = "\tncs-netsim add-device {} {}\n" fh.write(MAKEFILE_BASE.format(base_url=self.base_url)) fh.write("netsim:\n") first = True for device, ned in device_types.items(): if first: fh.write(create_template.format(ned, device)) else: fh.write(add_template.format(ned, device)) first = False

[ "kecorbin@cisco.com" ]

kecorbin@cisco.com

5c468cd8ebfec522f56504468f7c937e6b4ea793

eb30ae675e067cd8b1e3e19ed52a3b17a7b8b461

/Practice_Exercise_6_2.py

171cb42a46aa936702f91e50c2ff93941990dd0e

[]

no_license

Froax/Homework_6_0

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7dcf1af391125ba2f98f8fdfdf90a0a924925593

refs/heads/master

2021-07-04T17:28:35.413830

2017-09-28T12:37:00

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py

list_a = ["boter", "kaas", "bier", "pizza", "thee", "drop", "koek", "cola", "boterham", "stamppot"] new_list = [] for i in list_a: if len(i) == 4: new_list.append(i) print(new_list)

[ "robin.defeijter@student.hu.nl" ]

robin.defeijter@student.hu.nl

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346d297d504b48f9c50ac666577f2cd3b287c061

/game/game.py

76b4b37058dccf089a784071c87dc5be147f4438

[ "MIT" ]

permissive

albinoplant/game-solver

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refs/heads/main

2023-05-31T10:28:34.944748

2021-07-12T10:48:36

2021-07-12T10:55:35

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import itertools from random import shuffle from typing import List from colorama import Back, Style from .flask import Flask class Game: def __init__(self, initial_flasks: list = None, n_empty: int = 2, n_full: int = 4): self.__n = n_empty + n_full if initial_flasks is None: it = range(1, n_full + 1) whole = [] for _ in it: whole += it whole += it shuffle(whole) self.flasks: List[Flask] = [] for i in range(0, n_full * 4, 4): self.flasks.append(Flask(whole[i:i + 4])) else: self.flasks: List[Flask] = [] for flask in initial_flasks: if len(flask) != 4: raise ValueError('One or more of initial flasks is not 1x4 vector') self.flasks.append(Flask(flask)) for i in range(n_empty): self.flasks.append(Flask([0, 0, 0, 0])) @property def flasks(self) -> List['Flask']: return self.__flasks @flasks.setter def flasks(self, val: List['Flask']): self.__flasks = val ''' pour_from_to takes effect only if - from flask is not empty - to flask is not full - from/to flask's last layers are eq ''' @staticmethod def get_color(i: int): table = [ Back.BLACK + ' ' + Style.RESET_ALL, Back.GREEN + ' ' + Style.RESET_ALL, Back.RED + ' ' + Style.RESET_ALL, Back.BLUE + ' ' + Style.RESET_ALL, Back.YELLOW + ' ' + Style.RESET_ALL, Back.MAGENTA + ' ' + Style.RESET_ALL, Back.LIGHTBLUE_EX + ' ' + Style.RESET_ALL, Back.CYAN + ' ' + Style.RESET_ALL, ] return table[i] def print_game(self): print() for flask in self.flasks: print(flask.id, end=' ') print('\n') for i in range(4)[::-1]: for flask in self.flasks: print(self.get_color(flask[i]), end=' ') print() ''' Method returns List of from/to indexes of possible moves ''' def get_all_possible_moves(self) -> List[tuple]: moves = [] seq = range(self.__n) product = itertools.combinations(seq, r=2) for i in product: moves.append(self.__get_possible(i[0], i[1])) return [item for sublist in moves for item in sublist] def __get_possible(self, ind1: int, ind2: int) -> List[tuple]: operations = [] is_empty1 = self.flasks[ind1].is_empty() is_empty2 = self.flasks[ind2].is_empty() if is_empty1 and is_empty2: return operations is_full1 = self.flasks[ind1].is_full() is_full2 = self.flasks[ind2].is_full() if is_full1 and is_full2: return operations index1 = self.flasks[ind1].get_last_index() index2 = self.flasks[ind2].get_last_index() match = self.flasks[ind1][index1] == self.flasks[ind2][index2] match1 = (match or (is_full1 and is_empty2)) and not is_full2 match2 = (match or (is_full2 and is_empty1)) and not is_full1 if match1: operations.append((ind1, ind2, index1, index2 + 1)) if match2: operations.append((ind2, ind1, index2, index1 + 1)) return operations def apply_move(self, coordinates: tuple) -> None: self.flasks[coordinates[0]].pour_to(self.flasks[coordinates[1]], self_last_index=coordinates[2], to_flask_last_index=coordinates[3])

[ "mateuszmalecki@hotmail.com" ]

mateuszmalecki@hotmail.com

69bd41e418c83a5ddcb10e5b7ae613a995d14f7e

786232b3c9eac87728cbf2b5c5636d7b6f10f807

/Leetcode/medium/34.py

0da56ac79175a4bfbbc41fae144e70cd115dfbb7

[]

no_license

luoyanhan/Algorithm-and-data-structure

c9ada2e123fae33826975665be37ca625940ddd4

fb42c3a193f58360f6b6f3b7d5d755cd6e80ad5b

refs/heads/master

2021-12-22T15:45:28.260386

2021-12-02T03:08:35

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class Solution: def searchRange(self, nums, target: int): left = 0 length = len(nums) right = length - 1 while left <= right: mid = (left + right) // 2 if nums[mid] == target: i = mid while i - 1 >= 0 and nums[i-1] == target: i -= 1 j = mid while j + 1 < length and nums[j+1] == target: j += 1 return [i, j] elif nums[mid] > target: right = mid - 1 else: left = mid + 1 return [-1, -1]

[ "luoyanhan@alphaleader.com" ]

luoyanhan@alphaleader.com

ef372dcb74307b75bf894595eb565839313fda2c

1a0c6980161ee01d6bd2d2b1d0d748c8ed45a5cb

/app.py

bbecc4a29c0d35924bdd455c81f2503ae99beb56

[]

no_license

ameyhub/Covid-19-heroku

9382923aa9f749c9f5ce283dd5a1de91d234c99c

5d12c3c0601cd4266a067373a99408b24ed4bc44

refs/heads/master

2023-01-04T01:40:18.236628

2020-10-09T16:23:01

299,837,378

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from __future__ import division, print_function # coding=utf-8 import sys import os import glob import re import numpy as np # Keras from keras.applications.imagenet_utils import preprocess_input, decode_predictions from keras.models import load_model from keras.preprocessing import image # Flask utils from flask import Flask, redirect, url_for, request, render_template from werkzeug.utils import secure_filename from gevent.pywsgi import WSGIServer # Define a flask app app = Flask(__name__,template_folder='templates',static_folder='./static') # Model saved with Keras model.save() MODEL_PATH = 'models/trained_model.h5' #Load your trained model model = load_model(MODEL_PATH) model._make_predict_function() # Necessary to make everything ready to run on the GPU ahead of time print('Model loaded. Start serving...') # You can also use pretrained model from Keras # Check https://keras.io/applications/ #from keras.applications.resnet50 import ResNet50 #model = ResNet50(weights='imagenet') #print('Model loaded. Check http://127.0.0.1:5000/') def model_predict(img_path, model): img = image.load_img(img_path, target_size=(64, 64)) #target_size must agree with what the trained model expects!! # Preprocessing the image img = image.img_to_array(img) img = np.expand_dims(img, axis=0) preds = model.predict(img) return preds #####-----------Home Page-----------###### @app.route('/', methods=['GET']) def root(): # Main page return render_template('index.html') @app.route('/predict', methods=['GET', 'POST']) def upload(): if request.method == 'POST': # Get the file from post request f = request.files['file'] # Save the file to ./uploads basepath = os.path.dirname(__file__) file_path = os.path.join( basepath, 'uploads', secure_filename(f.filename)) f.save(file_path) # Make prediction preds = model_predict(file_path, model) ##os.remove(file_path) str1 = 'Covid-19' str2 = 'Normal' if preds == 1: return str1 else: return str2 return None if __name__ == '__main__': #app.run(host='0.0.0.0', port=8080) app.run()

[ "noreply@github.com" ]

ameyhub.noreply@github.com

b8ac874432d4a9e81ba6348acf9cfdd468bf7211

b17db8f5940605dda0ac0a39c418eff1159e4723

/src/profile_project/profiles_api/models.py

ac2efd4aaa1a43cc2d1d6b4203af90b9ef522ead

[]

no_license

nayazjh/profiles-rest-api

1ce7d8dc4cbdde1d22f8700f0ae5111f9836c1b6

ef4f74bd32fa49e1aa3a339f66fa29d6f7ae6872

refs/heads/master

2020-03-12T23:45:36.449558

2018-04-24T14:57:37

130,873,135

0

null

UTF-8

Python

false

2,104

py

from django.db import models from django.contrib.auth.models import AbstractBaseUser from django.contrib.auth.models import PermissionsMixin from django.contrib.auth.models import BaseUserManager # Create your models here. class UserProfileManager(BaseUserManager): """Helps Django work with our custom user model.""" def create_user(self, email, name, password=None): """Creates a new user profile object.""" if not email: raise ValueError('User must have an email address.') email = self.normalize_email(email) user = self.model(email=email, name=name) user.set_password(password) user.save(using=self.db) return user def create_superuser(self, email, name, password): """Creates and save a new superuser with given details""" user = self.create_user(email, name, password) user.is_superuser = True user.is_staff = True user.save(using= self.db) return user class UserProfile(AbstractBaseUser, PermissionsMixin): """Requests a "User Profile" inside our system """ email = models.EmailField(max_length=255, unique=True) name = models.CharField(max_length=255) is_active = models.BooleanField(default=True) is_staff = models.BooleanField(default=False) objects = UserProfileManager() USERNAME_FIELD = 'email' REQUIRED_FIELDS = ['name'] def get_full_name(self): """ Used to get a users full name""" return self.name def get_short_name(self): """ Used to get a user short name""" return self.name def __str__(self): """Django uses this to when it needs convert the object to string""" return self.email class ProfileFeedItem(models.Model): """Profile status update.""" user_profile = models.ForeignKey('UserProfile', on_delete=models.CASCADE) status_text = models.CharField(max_length=255) created_on = models.DateTimeField(auto_now_add=True) def __str__(self): """returns the model as string.""" return self.status_text

[ "nayaz.h@lifetechnologyservices.com" ]

nayaz.h@lifetechnologyservices.com

86be0ecfbf7c853d4de9c5290443a7e031a99fe7

143e276ee9bd74b6d611e98ba24c003d7a56e505

/src/db/mysql_db.py

8bd0d214f10683a65c562d0c3899bb9ba7df9f9c

[]

no_license

ciriChat/data-processing

84dc2d91ae6c73d1f4008c85623f80ae9bd85372

4e923ba3aab966649a0aa4c691e90495338cfef9

refs/heads/master

2020-04-12T21:11:39.273704

2018-12-21T21:02:25

162,757,282

0

null

UTF-8

Python

false

399

py

from mysql import connector from config import db_config def get_connection(db_name): config = db_config['mysql'][db_name] return connector.connect( user=config['user'], password=config['password'], host=config['host'], database=config['database'], port=config['port'], auth_plugin='mysql_native_password' )

[ "dawid.siwko@gmail.com" ]

dawid.siwko@gmail.com

7711a3f60ddae75cc1443cdacd63b0643ad59c8a

f99c70384a4b39be15161d8a8eb0abc7a187198f

/heightmap.py

1695f2d0e5124e73a61e0bd962df36824aae4932

[]

no_license

painkillergis/heightmap

382865dbc4baf9ba2c687d800e8c3c56565193aa

c940d4ef69112eaae93164f1559c94508a26ef80

refs/heads/main

2023-03-02T04:53:14.894302

2021-02-06T23:11:09

336,656,577

0

null

UTF-8

Python

false

2,794

py

#!/usr/bin/env python import json, np, requests, sys from osgeo import gdal, gdalconst, ogr from argparse import ArgumentParser parser = ArgumentParser() parser.add_argument('dem') parser.add_argument('cutline') parser.add_argument('width') parser.add_argument('height') parser.add_argument('margin') parser.add_argument('srs') args = parser.parse_args() cutlineDataSource = ogr.Open(args.cutline) layers = [ cutlineDataSource.GetLayerByIndex(index) for index in range(0, cutlineDataSource.GetLayerCount()) ] envelopes = [ feature.GetGeometryRef().GetEnvelope() for layer in layers for feature in layer ] (lefts, rights, bottoms, tops) = list(map(list, zip(*envelopes))) printLayout = requests.post( 'http://painkiller.arctair.com/layouts/print-layout', json = { "printOption": { "width": args.width, "height": args.height, }, "source": { "width": max(rights) - min(lefts), "height": max(tops) - min(bottoms), }, "margin": args.margin, }, ) \ .json() dataSource = gdal.Open(args.dem) band = dataSource.GetRasterBand(1) noDataValue = band.GetNoDataValue() del dataSource gdal.Warp( 'raster.d/heightmap.project.tif', args.dem, options = gdal.WarpOptions( cutlineDSName = args.cutline, cropToCutline = True, dstSRS = args.srs, srcNodata = noDataValue, dstNodata = noDataValue, resampleAlg = 'cubic', width = printLayout['innerSize']['width'], height = printLayout['innerSize']['height'], ), ) projectDataSource = gdal.Open('raster.d/heightmap.project.tif') band = projectDataSource.GetRasterBand(1) minimum, maximum = band.ComputeStatistics(0)[0:2] gdal.Translate( 'raster.d/heightmap.translate.tif', 'raster.d/heightmap.project.tif', options = gdal.TranslateOptions( scaleParams = [[ minimum, maximum, 8192, 65534, ]], outputType = gdalconst.GDT_UInt16, ), ) translate = gdal.Open('raster.d/heightmap.translate.tif') heightmapArray = np.pad( translate.ReadAsArray(), [(printLayout['margin']['height'],), (printLayout['margin']['width'],)], mode='constant', constant_values=0, ) arrayHeight, arrayWidth = np.shape(heightmapArray) heightmap = gdal.GetDriverByName('GTiff').Create( 'raster.d/heightmap.tif', arrayWidth, arrayHeight, 1, translate.GetRasterBand(1).DataType, ) heightmap.GetRasterBand(1).WriteArray(heightmapArray) heightmap.GetRasterBand(1).SetNoDataValue(translate.GetRasterBand(1).GetNoDataValue()) left, xResolution, i0, top, i1, yResolution = translate.GetGeoTransform() heightmap.SetGeoTransform([ left - xResolution * printLayout['margin']['width'], xResolution, i0, top - yResolution * printLayout['margin']['height'], i1, yResolution, ]) heightmap.SetProjection(translate.GetProjection())

[ "tyler@cruftbusters.com" ]

tyler@cruftbusters.com

b003ebc265e8e16e74408cbba8ac90a77f57e667

fe43d3d7493ab5996d6da5248a149da086015cbb

/logicstic_regression/logistic_regression_manul.py

26387c2b05e2885960d45acb85fcab9d58419af2

[]

no_license

barton-wa/machine_learning

85f6ab96e74a1598ddb4d1f35309e23800153af0

6f514a279e4420cee7244896b9c3c5fc66140bf9

refs/heads/master

2022-12-07T06:51:50.442215

2020-08-25T05:49:10

283,428,514

0

1

null

UTF-8

Python

false

2,244

py

# 这个是手动实现的逻辑回归，LR这里设置0.1收敛较快，而前面的多元线性回归设置大了就不行，回头要看看LR的选取规则 import matplotlib.pyplot as plt import numpy as np import math import pandas as pd ITER = 5000 ALPHA = 0.3 LR = 0.1 class LogisticRegression(object): def __init__(self): self.w = np.random.normal(1,0.1,2) self.b = np.random.normal(0,1,1) self.iter = ITER self.alpha = ALPHA self.lr = LR def train(self,x,y): self.x = x self.y = y self.num = x.shape[1] for i in range(self.iter): self.step() self.loss() def sigmoid(self,z): return 1.0/(1.0+np.exp(-z)) def cal_grad(self): # print(np.exp((np.dot(self.w,self.x)+self.b))) d_w = 1.0/self.num*(np.dot(self.x,(self.sigmoid(np.dot(self.w,self.x)+self.b)-self.y))) d_b = 1.0/self.num*(np.sum(self.sigmoid(np.dot(self.w,self.x)+self.b)-self.y)) return d_w,d_b def step(self): d_w,d_b = self.cal_grad() self.w = self.w - self.lr*d_w self.b = self.b - self.lr*d_b def loss(self): h = self.sigmoid(np.dot(self.w,self.x)+self.b) # print(h) loss = -1/self.num*((np.dot(self.y.T,np.log(h)) + np.dot(1-self.y.T,np.log(1-h)))) print(loss) def load_data(file): data = pd.read_table(file,encoding="utf-8",header=None) X = data.iloc[:,0:2] Y = data.iloc[:,2] return X.T,Y def plot_graph(x,y,w,b): for i in range(len(y)): if y[i] == 1: plt.scatter(x[i][0],x[i][1], color="red",s=50) else: plt.scatter(x[i][0],x[i][1],color="green",s=50) # print(x.iloc[0,:].min()) hSpots = np.linspace(x.iloc[0,:].min(), x.iloc[0,:].max(), 100) vSpots = -(b[0] + w[0]*hSpots)/w[1] plt.plot(hSpots,vSpots,color="red") plt.show() x,y = load_data(r"D:\machine_learning\logicstic_regression\data\linear.txt") model = LogisticRegression() model.train(x,y) plot_graph(x,y,model.w,model.b) print(model.w) print(model.b) # plt.scatter(x[:20],y[:20], c=label[:20],s=50,cmap='viridis') # plt.xlabel("x") # plt.ylabel("y")

[ "897041564@qq.com" ]

897041564@qq.com

0b3451456383d74e43a4eb1d7a9f8ab12ef4adfd

053cf58d2cbae6f76a03f80b97c2aa53581a49ab

/interface/LiveClassAPI_v_Video_test.py

696546bf1e716cf0e0cfbcf9084c2fc09a46412d

[]

no_license

qujinliang/LiveClassAPIAutoTest

8a84bb6649de46d5b90365f5d4d0e9d2ee0e1e11

6fbbbfb358d51bde8a4e4912625c73c6d1a9da49

refs/heads/master

2020-04-12T14:32:44.359097

2018-12-20T09:18:57

162,555,549

0

null

UTF-8

Python

false

1,027

py

import unittest from util import THQS from util import LiveAPIRequests from util.LiveAPIDataFile import LiveAPIData class LiveClassAPIVideoTest(unittest.TestCase): """设为暖场视频接口测试""" def setUp(self): '''初始化请求数据url''' url = LiveAPIData.urlData(self) url = url+"/api/v1/video/warm/set?" self.warm_set_data = LiveAPIData.warmSetData(self) t = THQS.thqs() warm_set_data = t.get_thqs(self.warm_set_data) self.warm_set_url = url+warm_set_data self.live = LiveAPIRequests.LiveAPIRequests def tearDown(self): pass def test_a_list(self): '''设为暖场视频成功''' r = self.live.SendOut(self,self.warm_set_url) if r == None: print('请求失败，没有返回数据') self.assertEqual(None,'') return print("输入参数：%s" % self.warm_set_data) print("返回数据: %s" % r) self.assertEqual(r['result'],'OK')

[ "qujin_liang@163.com" ]

qujin_liang@163.com

87a7847e3d147cf69b61c02a4ee72f091bccde9a

d6e89757c7c0de34a4eea6e23d6e57fce2c0552d

/Development Files/teleop_py_ws/build/create_autonomy/ca_description/catkin_generated/pkg.installspace.context.pc.py

1d3198114711ad2d1c925a5b51870da9badeb074

[]

no_license

icisneros/JetsonTX1Robot

78473690ae17a738c8693260d7280703a2f84cf2

d112c658725b881a8049268e56c9924517162b65

refs/heads/master

2020-03-14T08:56:55.547189

2019-04-28T23:11:28

131,535,952

0

null

UTF-8

Python

false

381

py

# generated from catkin/cmake/template/pkg.context.pc.in CATKIN_PACKAGE_PREFIX = "" PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else [] PROJECT_CATKIN_DEPENDS = "".replace(';', ' ') PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else [] PROJECT_NAME = "ca_description" PROJECT_SPACE_DIR = "/home/nvidia/teleop_py_ws/install" PROJECT_VERSION = "1.3.0"

[ "ivanc11235@gmail.com" ]

ivanc11235@gmail.com

5445bd7a3b77d5f5e64961ad50413d9a4f7b317b

e1e5ffef1eeadd886651c7eaa814f7da1d2ade0a

/Systest/tests/aaa/AAA_FUN_007.py

5195ce9c3b3c259ea8e7bd9c2e4f562ee283af1d

[]

no_license

muttu2244/MyPython

1ddf1958e5a3514f9605d1f83c0930b24b856391

984ca763feae49a44c271342dbc15fde935174cf

refs/heads/master

2021-06-09T02:21:09.801103

2017-10-10T07:30:04

13,803,605

0

null

UTF-8

Python

false

5,161

py

#!/usr/bin/env python2.5 """ ####################################################################### # # Copyright (c) Stoke, Inc. # All Rights Reserved. # # This code is confidential and proprietary to Stoke, Inc. and may only # be used under a license from Stoke. # ####################################################################### Description: - Verify SSX limits the number of sessions to the Max-sessions configured TEST PLAN: AAA/RADIUS Test Plan TEST CASES: AAA-FUN-007 TOPOLOGY DIAGRAM: (Linux) (SSX) (Linux) ------- -------- -------------- |Takama | --------------------------| |------------------------| qa-svr4 | ------- | | -------------- | | |Lihue-mc| (Netscreen) | | (Linux) ------ | | -------------- |qa-ns1 | --------------------------| |-------------------------| qa-svr3 | ------ | | -------------- -------- How to run: "python2.5 AAA_FUN_007.py" AUTHOR: Mahesh - mahesh@primesoftsolutionsinc.com REVIEWER: """ ### Import the system libraries we need. import sys, os ### To make sure that the libraries are in correct path. mydir = os.path.dirname(__file__) qa_lib_dir = os.path.join(mydir, "../../lib/py") if qa_lib_dir not in sys.path: sys.path.insert(1,qa_lib_dir) # frame-work libraries from Linux import Linux from SSX import SSX from aaa import * from ike import * from StokeTest import * from log import buildLogger from logging import getLogger from helpers import is_healthy # import configs file from aaa_config import * from topo import * # python libraries import time class test_AAA_FUN_007(test_case): myLog = getLogger() def setUp(self): """Establish a telnet session to the SSX box.""" self.ssx = SSX(topo.ssx1['ip_addr']) self.ssx.telnet() # CLear SSX configuration self.ssx.clear_config() #Establish a telnet session to the Xpress VPN client box. self.xpress_vpn = Linux(topo.linux["ip_addr"],topo.linux["user_name"],topo.linux["password"]) self.xpress_vpn.telnet() # wait for card to come up self.ssx.wait4cards() self.ssx.clear_health_stats() def tearDown(self): # Close the telnet session of SSX self.ssx.close() # Close the telnet session of Xpress VPN Client self.xpress_vpn.close() def test_AAA_FUN_007(self): """ Test case Id: - AAA_FUN_007 """ self.myLog.output("\n**********start the test**************\n") # Push SSX config self.ssx.config_from_string(script_var['common_ssx1']) self.ssx.config_from_string(script_var['fun_007_ssx']) # Push xpress vpn config self.xpress_vpn.write_to_file(script_var['fun_007_xpressvpn_multi'],"autoexec.cfg","/xpm/") self.xpress_vpn.write_to_file(script_var['add_ip_takama'],"add_ip_takama","/xpm/") # Enable debug logs for iked self.ssx.cmd("context %s" % script_var['context']) self.ssx.cmd("debug module iked all") self.ssx.cmd("debug module aaad all") # Flush the debug logs in SSX, if any self.ssx.cmd("clear log debug") # Initiate IKE Session from Xpress VPN Client (takama) self.xpress_vpn.cmd("cd /xpm/") self.xpress_vpn.cmd("sudo chmod 777 add_ip_takama") self.xpress_vpn.cmd("sudo ./add_ip_takama") time.sleep(3) op_client_cmd = self.xpress_vpn.cmd("sudo ./start_ike") time.sleep(10) #Consider 9 client op_ssx_sa = self.ssx.configcmd("show ike-session brief") i=0 count=0 ssx_max_ses=5 for i in range(0,len(clnt_ips)): if clnt_ips[i] in op_ssx_sa: count=count+1 self.myLog.output("\n\n************* the no. of ike sessions:%d\n\n"%count) self.failUnless(count==ssx_max_ses,"Mismatch with the number of sessions and Max sessions configured") # Check the "authentication fail" notify message when more than Max sessions are initiated op_debug = verify_in_debug(self.ssx,"AUTHEN_FAIL") self.failUnless(op_debug,"the AUTHENTICATION_FAILED notify message is not sent by SSX") # Checking SSX Health hs = self.ssx.get_health_stats() self.failUnless(is_healthy(hs), "Platform is not healthy") if __name__ == '__main__': logfile=__file__.replace('.py','.log') log = buildLogger(logfile, debug=True, console=True) suite = test_suite() suite.addTest(test_AAA_FUN_007) test_runner(stream=sys.stdout).run(suite)

[ "muttu2244@yahoo.com" ]

muttu2244@yahoo.com