content
stringlengths
5
1.05M
#!/usr/bin/env python2.5 # # Copyright 2009 the Melange authors. # # 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 applic...
import argparse as ag import ast import csv import datetime from ebooklib import epub import feedparser import json import logging from termcolor import colored logging.basicConfig(filename='logs.log', level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - ' '%(me...
# ---------------------------------------------------------------------------- # meh # Copyright (c) 2021 TreeCaptcha # # Permission is hereby granted, free of charge, to any person obtaining a # copy of this software and associated documentation files (the "Software"), # to deal in the Software without restriction, in...
# -*- coding: utf-8 -*- # Copyright 2011 Fanficdownloader team # # 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 require...
from collections import namedtuple import csv import gzip from os.path import abspath, join import subprocess from growser.app import db, log from growser.db import from_sqlalchemy_table from growser.models import Recommendation from growser.cmdr import DomainEvent, Handles from growser.commands.recommendations impor...
# 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 t...
from json import decoder, loads from os import getenv from re import findall, search from nfu.expand_bus.network import http_get from nfu.expand_bus.ticket import get_alipay_url from nfu.nfu_error import NFUError def get_bus_schedule(route_id: int, date: list) -> dict: """ 若日期在车票预售期内,获取班车时刻表。 - 字段说明 ...
import os import sys import argparse import requests import flask import json import re import yaml import shutil import mmh3 from munch import Munch, munchify from flask import render_template, redirect, url_for, send_from_directory from markupsafe import escape def log(*args, **kwargs): print(*args, **kwargs, ...
from .models import Electricity from django.http import HttpResponse from django.utils import timezone from django.views.generic import View import datetime import json class get_json(View): """ Returns list of timestamp-consumption pairs. """ def get(self, request, *args, **kwargs): time_start = tim...
# utility packages import os from tqdm import tqdm import csv # math and support packages from scipy import ndimage import numpy as np import pandas as pd # image processing packages import cv2 import matplotlib.pyplot as plt import sklearn from sklearn.model_selection import train_test_split from random import shuff...
# Copyright 2012-2013 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Modifications made by Cloudera are: # Copyright (c) 2016 Cloudera, Inc. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"). You # may not use this file except in compliance with the License. A cop...
import CollectionsManager from UserController.UserCommand import UserCommandClass # ==================================== UserCommandAddNewDuck Class =================================# class UserCommandAddNewDuck(UserCommandClass): component = None component_index = 0 component_selected = None ...
import numpy as np import ctypes as C import cv2 libmog = C.cdll.LoadLibrary('libmog2.so') def getfg(img): (rows, cols) = (img.shape[0], img.shape[1]) res = np.zeros(dtype=np.uint8, shape=(rows, cols)) libmog.getfg(img.shape[0], img.shape[1], img.ctypes.data_as(C.POINTER(C.c_ubyte))...
# coding: utf-8 """ Camunda BPM REST API OpenApi Spec for Camunda BPM REST API. # noqa: E501 The version of the OpenAPI document: 7.13.0 Generated by: https://openapi-generator.tech """ import pprint import re # noqa: F401 import six from openapi_client.configuration import Configuration clas...
import multiprocessing import time from functools import wraps def logging_decorator(f): @wraps(f) def wrapper(*args, **kwds): print('Entering decorator') result=f(*args, **kwds) print('Exiting decorator') return result return wrapper @logging_decorator def compute_squares(number):...
from setuptools import setup setup( name='nlzss', author='magical', license='MIT', packages=['nlzss'] )
# coding: utf-8 #!/usr/bin/python import sys, getopt, time import operator import pickle import numpy as np #for euclidean distance import pandas as pd # to read the actual dataset from numpy import zeros, sum as np_sum, add as np_add, concatenate, repeat as np_repeat, array, float32 as REAL, empty, ones, memmap ...
# # PySNMP MIB module ELTEX-MES-eltMacNotification-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ELTEX-MES-eltMacNotification-MIB # Produced by pysmi-0.3.4 at Mon Apr 29 18:47:57 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Pyt...
from abc import ABC class AbstractDiscriminantStrategy(ABC): def calculate_discriminant(self, a, b, c): pass
# Copyright (C) 2013 eNovance SAS <licensing@enovance.com> # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicabl...
import pandas as pd import numpy as np UTIL_SCORING = {'player': { 'assists': 2, 'kills': 3, 'deaths': -1, 'total cs': 0.02, # 'games_not_played': 20 }, ...
""" Business logic for the orchestration operations. """ from http import HTTPStatus import bson import requests from shipyard_cli.errors import StatusError class CraneService(): """Service for orchestration operations.""" def __init__(self, url: str, port: str): self.base_url = url + ':' + port ...
# -*- coding: utf-8 -*- """ Created on Tue Aug 21 16:20:46 2018 @author: Arvinder Shinh """ import tensorflow as tf from tensorflow import saved_model as sm import DevnagriLipiDataGenerator import DevnagriLipiDataVerifier SerializedImgContainer, Labels = DevnagriLipiDataGenerator.DevnagriData() Classfy_Inputs=tf.p...
from . import settings from django.conf import settings from django.core.exceptions import ObjectDoesNotExist if hasattr(settings, 'SALES_MODEL_FROM') and hasattr(settings, 'SALES_MODEL_IMPORT'): User = getattr(__import__(settings.SALES_MODEL_FROM, fromlist=[settings.SALES_MODEL_IMPORT]), settings.SALES_MODEL_IMPO...
from datetime import datetime from unittest import TestCase import jsons from jsons import DeserializationError class TestPrimitive(TestCase): def test_dump_str(self): self.assertEqual('some string', jsons.dump('some string')) def test_dump_int(self): self.assertEqual(123, jsons.dump(123)) ...
#! /usr/bin/env python # -*- coding: utf-8 -*- # vim:fenc=utf-8 # # Copyright © 2021 Tong LI <tongli.bioinfo@protonmail.com> # # Distributed under terms of the BSD-3 license. """ """ import fire from zarr import consolidate_metadata from pathlib import Path import zarr def main(file_in): stem = Path(file_in).st...
# coding=utf-8 # Copyright 2018 The TensorFlow Datasets Authors. # # 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 appl...
# coding: utf-8 ########################################################################## # NSAp - Copyright (C) CEA, 2019 # Distributed under the terms of the CeCILL-B license, as published by # the CEA-CNRS-INRIA. Refer to the LICENSE file or to # http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html # for det...
import codecs import numpy as np import copy import time import random import json import multiprocessing import torch import torch.nn as nn import torch.optim as optim from torch.autograd import Variable import os import joblib entities2id = {} relations2id = {} relation_tph = {} relation_hpt = {} ...
# -*- coding: utf-8 -*- # encoding: utf-8 # /run.py """ Tic-Toc-Tpe API ------------------------------------------------------------------------ App for production ------------------------------------------------------------------------ """ import os ...
from Tkinter import * root = Tk() root.title("kaki") root.resizable(0,0) points = [] tag = "line" c = Canvas(root, bg="white", width=1280, height= 720) def make_dot(x, y, xmax, ymax): dot = c.create_oval(x, y, xmax, ymax, fill="black") def point(event): x = event.x - 2 y = event.y - 2 o = 4 do...
# # Catalog creation history: # # catalog creation requires one to set the RESULTS_VERS environment variable to the correct reduction # # DR11 catalog created using 'python make_rcsample.py -o /work/bovy/data/bovy/apogee/apogee-rc-DR11.fits --addl-logg-cut --rmdups' # rmdups was added after the fact because this option...
# -*- coding: utf-8 -*- # Generated by Django 1.9.2 on 2016-09-15 09:15 from django.db import migrations, models import django.db.models.deletion import wagtail.core.models class Migration(migrations.Migration): dependencies = [ ("wagtailcore", "0028_merge"), ("torchbox", "0067_auto_20160906_16...
n=int(input('no of primes to be generated : ')) counter=0 n1=2 while True: is_prime=True for i in range(2,n1//2+1): if n1%i==0: is_prime=False break if is_prime==True: print(n1) counter=counter+1 if counter==n: break n1=n1+1
# -*- encoding: utf-8 -*- """Main application window Contains : - menubar with File, Edit - statusbar displaying cursor position on the scene - NodeEditorWidget instance containing a graphics view and the scene """ import os import json from PyQt5.QtWidgets import QMainWindow, QAction, QFileDialog, QLabel,...
import dgl import networkx as nx # create a graph g_nx = nx.petersen_graph() g_dgl = dgl.DGLGraph(g_nx) import matplotlib.pyplot as plt plt.subplot(121) nx.draw(g_nx, with_labels=True) plt.subplot(122) nx.draw(g_dgl.to_networkx(), with_labels=True) plt.show() # add edges and nodes into graph import dgl import torc...
#!/usr/bin/env python3 import base64 import sys from pprint import pformat from nullroute.irc import Frame class SaslMechanism(object): def __init__(self): self.step = 0 self.inbuf = b"" def do_step(self, inbuf): return None def feed_input(self, inbuf): self.inbuf += inbuf...
"""Config flow for nVent RAYCHEM SENZ.""" import logging from homeassistant.helpers import config_entry_oauth2_flow from .const import DOMAIN class OAuth2FlowHandler( config_entry_oauth2_flow.AbstractOAuth2FlowHandler, domain=DOMAIN ): """Config flow to handle SENZ OAuth2 authentication.""" DOMAIN = DO...
# -*- encoding: utf-8 -*- # # Copyright 2012 Martin Zimmermann <info@posativ.org>. All rights reserved. # License: BSD Style, 2 clauses -- see LICENSE. # # Provide a homogenous interface to Templating Engines like Jinja2 import abc class AbstractEnvironment(object): """Generic interface for python templating eng...
import pandas as pd import torch def get_covariates(cov_name, split): """ get a list of strutured covariates as a pytorch tensor split by train/val/test input: - cov_name = 'Male' - split = 'train', 'val' or 'test' Here we're mostly interested in gender so our covaraite is male...
# -*- coding: utf-8 -*- """ Defines the unit tests for the :mod:`colour.plotting.section` module. """ import unittest from matplotlib.pyplot import Axes, Figure from colour.geometry import primitive_cube from colour.models import RGB_COLOURSPACE_sRGB, RGB_to_XYZ from colour.plotting import (plot_visible_spectrum_sect...
from django.conf.urls import url from . import views urlpatterns = [ url(r'^$', views.index, name="index"), url(r'^dashboard$', views.dashboard, name="dashboard"), url(r'^properties$', views.properties, name="properties"), url(r'^add_property$', views.add_property, name="add_property"), ...
import sys import os import cv2 images_path = sys.argv[1] thumbnail_size = 300 thumbnails_path = os.path.join(images_path, "thumbnails") event_name = os.path.basename(images_path) if not os.path.isdir(thumbnails_path): os.mkdir(thumbnails_path) images = os.listdir(images_path) yml_line = "gallery:\n" for ind,...
class Solution: def bstFromPreorder(self, preorder: List[int]) -> TreeNode: if len(preorder)==0: return None tn=TreeNode(preorder[0]) l=[] r=[] for i in preorder: if i<preorder[0]: l.append(i) elif i>preorder[0]: ...
from onboarding_project.celery import app from squad_pantry_app.models import PerformanceMetrics @app.task def calc_performance_metrics(): PerformanceMetrics.create_avg_performance_metrics()
""" Creates components from JSON files. This provides an easy way for adding custom components without mucking around with blenders API. Of course, for more advanced tools it is necessary to create more complex UI's, but if you just want a component with a couple twiddleable numbers, bools and vecs, a JSON component ca...
#!/usr/bin/env python3 import os import re import sys import errno import subprocess import json import glob IMPORTPREFIX="github.com/kentik/" REPOROOT=os.path.basename(os.getcwd()) SRCDIR="staging" TGTDIR="proto_go" PACKAGE="^(package .*);" # # Attributes pertinent to building the go code to serve proto types # f...
#!/usr/bin/env python3 import sys import time import automationhat time.sleep(0.1) # Short pause after ads1015 class creation recommended try: from PIL import Image, ImageFont, ImageDraw except ImportError: print("""This example requires PIL. Install with: sudo apt install python{v}-pil """.format(v="" if sy...
"""Application credentials platform for the Honeywell Lyric integration.""" from homeassistant.components.application_credentials import ( AuthorizationServer, ClientCredential, ) from homeassistant.core import HomeAssistant from homeassistant.helpers import config_entry_oauth2_flow from .api import LyricLoca...
import tensorflow as tf from tensorflow import keras from tensorflow.compat.v1 import ConfigProto from tensorflow.compat.v1 import InteractiveSession from tensorflow.keras.layers import Input, Lambda, Dense, Flatten from tensorflow.keras.models import Model from tensorflow.keras.applications.inception_resnet_v2 import ...
from django.test import TestCase from ..models import Tag, Medium from ..management.commands.add_tag_to_media import AssignTag class RenameTagTest(TestCase): fixtures = ['test_basic_data.yaml'] def setUp(self): pass def tearDown(self): pass def test_assign_tag_to_one_file(self): ...
r""" ``$ mwtext preprocess_text -h`` :: Converts MediaWiki XML dumps to plaintext. One line per text chunk with wiki markup and punctuation cleaned up. This utility is designed with word embeddings in mind. Generally, you can expect one line per paragraph. Usage: preprocess_text (-h|--help)...
# -*- coding: utf-8 -*- # Transformers installation import numpy as np from transformers import GPT2LMHeadModel, GPT2TokenizerFast from qtorch.quant import posit_quantize, float_quantize, configurable_table_quantize device = 'cuda' model_id = 'gpt2-large' tokenizer = GPT2TokenizerFast.from_pretrained(model_id) fro...
# coding=utf-8 import tensorflow as tf from tensorflow.python.ops import variable_scope import numpy as np import sys import os sys.path.append('..') from tensor2tensor.models import transformer from tensor2tensor.layers import common_layers from tensor2tensor.utils import trainer_lib from tensor2tensor.utils import r...
#!/bin/python import listify_circuits listify_circuits.optimize_circuits(48, 'forward')
""" Register Me Silly Repeatedly checks Drexel's Term Master Schedule for availability of class sections Author: Anshul Kharbanda Created: 9 - 21 - 2018 """ from . import LabeledInput from tkinter import * class LabeledSpinbox(LabeledInput): """ Docstring for LabeledSpinbox """ def __init__(self, ma...
#Detector Functions # ------------------ Importing Libraries ------------------ # import cv2 import os import time # ------------------ Importing Functions ------------------ # from utils import open_thresholds, get_audio_list, reshape_image, input_output_details, make_prediction, get_dist_values, play_audio_record...
""" Xero Accounts API """ from .api_base import ApiBase class Accounts(ApiBase): """ Class for Accounts API """ GET_ACCOUNTS = '/api.xro/2.0/accounts' def get_all(self): """ Get all accounts Returns: List of all accounts """ return self._get...
"""Defines a Tornado Server that consumes Kafka Event data for display""" import logging import logging.config from pathlib import Path import tornado.ioloop import tornado.template import tornado.web # Import logging before models to ensure configuration is picked up logging.config.fileConfig(f"{Path(__file__).paren...
link_template="""\ <ul> <li><a href="{langfam_code:}/overview/introduction.html">Introduction</a></li> <li><a href="{langfam_code:}/overview/tokenization.html">Tokenization</a></li> <li>Morphology <ul> <li><a href="{langfam_code:}/overview/morphology.html">General principles</a></...
import tensorflow as tf hello =tf.constant('hello') sess=tf.Session() print(sess.run(hello))
import os, numpy, sys from numpy.linalg import norm import isambard_dev def get_SHparams(protein): sequence = protein[0].sequence residue_ids = [protein[0][i].id for i in range(len(protein[0].sequence))] reference_axis = isambard_dev.analyse_protein.reference_axis_from_chains(protein) residue_code = [sequence[n...
# coding=utf-8 import toml class Config(object): def __init__(self, config_file_name): dictionary = toml.load(config_file_name) mqtt = Config.get_value_or_default(dictionary, "mqtt") self.broker_address = Config.get_value_or_default(mqtt, "broker_address") csv = Config.get_value_...
#! /usr/bin/env python import argparse import itertools import cv2 import numpy as np if __name__=='__main__': parser = argparse.ArgumentParser( description='Arrange a number of images as a matrix.') parser.add_argument('f', help='Output filename.') parser.add_argument('w', type=int, ...
#!/usr/bin/env python import rospy import numpy as np from sensor_msgs.msg import Image, CompressedImage import cv2 from cv_bridge import CvBridge, CvBridgeError bridge = CvBridge() image_pub = rospy.Publisher("output",Image,queue_size=1) def callback(original_image): np_arr = np.fromstring(original_image.data, ...
import sys filename=sys.argv[1] def tableHTMLtoMatrix(filename): file=open(filename,"r") for i in range (2): file.readline() all_lines=file.readline().split("</td></tr></tbody></table></td></tr></thead>") entries=all_lines[1].split('<tr align="center">') dict,Enodes={},[] for entry in entries[1:]: entry=entry...
import pandas as pd import matplotlib.pyplot as plt import matplotlib.cm as cm import matplotlib.colors as col import math from mpl_toolkits.mplot3d import Axes3D import numpy as np #import string INTP_METHODS = ["bilinear", "bicubic"] COLOR_SPECTRUMS = ["rainbow", "gray", "BuGn"] FILE_NAMES = [ "aug_6_temp","Aug-2016...
from brownie import accounts, web3, Wei, reverts, chain from brownie.network.transaction import TransactionReceipt from brownie.convert import to_address import pytest from brownie import Contract from settings import * # reset the chain after every test case @pytest.fixture(autouse=True) def isolation(fn_isolation): ...
from __future__ import annotations import re from librespot.common import Utils from librespot.metadata import SpotifyId from librespot.metadata.PlayableId import PlayableId class TrackId(PlayableId, SpotifyId): _PATTERN = re.compile("spotify:track:(.{22})") _hexId: str def __init__(self, hex_id: str):...
import torch import numpy as np from models_repo.massive_resnets import * from models_repo.tiny_resnets import * from models_repo.Middle_Logit_Generator import * import argparse from train_funcs import train_regular_ce,\ train_regular_middle_logits,\ train_kd_or_fitnets_2,\ stage_1_fitnet_train,\ dml_tr...
from nlgen.cfg import read_cfg EXAMPLE_NO_FEATURE = """ # example.nlcfg SENTENCE -> PRONOUN VI NOUN; VI -> VERB; PRONOUN -> "I"; VERB -> "play"; NOUN -> "blackjack" | "poker"; """.strip() def test_no_feature_example(): cfg = read_cfg(EXAMPLE_NO_FEATURE) # permutations returns a generator. # we use sets f...
from typing import Optional from pydantic import BaseModel, Field class UserModel(BaseModel): name: str = Field(...) user_id: str = Field(...) password: str = Field(...) email: str = Field(...) is_admin: bool = Field(...) en_date: str = Field(...) de_date: str = Field(...) birth_date:...
""" Misc lr helper """ from torch.optim import Adam, Adamax from .adamw import AdamW def build_optimizer(model, opts): param_optimizer = list(model.named_parameters()) no_decay = ['bias', 'LayerNorm.bias', 'LayerNorm.weight'] optimizer_grouped_parameters = [ {'params': [p for n, p in param_optimi...
# Generated by Django 3.0.5 on 2020-04-07 16:08 import django.core.validators from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('django_products', '0001_initial'), ] operations = [ migra...
import aiodocker async def get_docker_images(): docker = aiodocker.Docker() print("== Images ==") for image in await docker.images.list(): tags = image["RepoTags"][0] if image["RepoTags"] else "" print(image["Id"], tags) async def pull(name: str): docker = aiodocker.Docker() awai...
from train import d_conv_dim, g_conv_dim, z_size, model_name, img_size import torch import pickle as pkl import matplotlib.pyplot as plt import numpy as np from train_class.load_model import Discriminator, Generator from train_class.load_model import build_network import torch.nn.functional as F # load pretrained mod...
import numpy as np from core import Cache from core import scipy_diffev from core import notification from core import preset from core import track_and_update_metric from visualization import display_iterations def diffev_function_test(w, *args): cache = args[0] cache.w = w residual = 0 for x, y in ...
from stockpyle._base import BaseDictionaryStore class ShoveStore(BaseDictionaryStore): """Represents a store that places all objects in a Shove (see http://pypi.python.org/pypi/shove)""" def __init__(self, shove=None, shoveuri=None, polymorphic=False, lifetime_cb=None): # TODO: deprecate 'sho...
# 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 u...
########################################################## ### Import Necessary Modules import argparse #provides options at the command line import sys #take command line arguments and uses it in the script import gzip #allows gzipped files to be read ...
# from .__S3File import s3_set_profile as set_profile from .__S3File import s3_xlist as xlist from .__S3File import s3_download as download from .__S3File import s3_upload as upload from .__S3File import s3_load as load from .__S3File import s3_save as save from .__S3File import s3_open as open from .__S3File import s3...
# Copyright 2017, 2018 Google, Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable l...
import numpy as np from scipy.integrate import solve_ivp import matplotlib.pyplot as plt class SEIRModelAge: """ This class implements a SEIR-like compartmental epidemic model consisting of SEIR states plus death, and hospitalizations and age structure. In the diff eq modeling, these parameters a...
#!/usr/bin/env python from dissect.cstruct import cstruct, dumpstruct import socket import struct protocol = cstruct() protocol.load(""" enum AttackType : uint8 { ATK_OPT_DPORT = 7, ATK_OPT_DOMAIN = 8, ATK_OPT_NUM_SOCKETS = 24, }; struct AttackTarget { DWORD ipv4; BYTE netmask; }; stru...
from celery import task import re from django.utils import timezone from backups.models import Backup, BackupRun, BackupSetOfRun, BackupNotification import os from django.conf import settings from app.utils import DjangoLock @task(ignore_result=True, queue="backups") def run_backup(id, mode='hourly', backupsetpk=...
import logging from dicewars.client.ai_driver import BattleCommand, EndTurnCommand class AI: def __init__(self, player_name, board, players_order): self.player_name = player_name self.logger = logging.getLogger('AI') def ai_turn(self, board, nb_moves_this_turn, nb_turns_this_game, time_left)...
import random from typing import List from project.conf import get_configuration from project.utils import ITEMS_SECTION from project.effect import SideEffect, instantiate_side_effects from project.interface import IItem, IHealingItem, IRecoveryItem, IEquipmentItem, ISideEffect class Item(IItem): def __init__(se...
import RPi.GPIO as GPIO import time from libdw import pyrebase #Database Set-Up projectid = "cleanbean-9e2f5" dburl = "https://" + projectid + ".firebaseio.com" authdomain = projectid + ".firebaseapp.com" apikey = "AIzaSyA6H-rDpfGJZcTqFhf69t3VYbbOzfUW0EM" email = "kenzho_lim@mymail.sutd.edu.sg" password = "123456" c...
"""Metaclass that overrides creating a new pipeline by wrapping methods with validators and setters.""" from functools import wraps from rayml.exceptions import PipelineNotYetFittedError from rayml.utils.base_meta import BaseMeta class PipelineBaseMeta(BaseMeta): """Metaclass that overrides creating a new pipeli...
from setuptools import setup import glob import os import sys import json def package_files(package_dir, subdirectory): # walk the input package_dir/subdirectory # return a package_data list paths = [] directory = os.path.join(package_dir, subdirectory) for (path, directories, filenames) in os.walk...
""" Advent of Code Day 2 - Bathroom Security""" def get_code(start_pos, keypad, valid_pos): """Returns the code generated from instructions on specified keypad.""" pos = start_pos code = '' for line in lines: for move in line: if move == 'R': next_pos = [pos[0], pos...
import chanutils.reddit from chanutils import get_json from playitem import PlayItem, PlayItemList _SEARCH_URL = "https://www.googleapis.com/youtube/v3/search" _FEEDLIST = [ {'title':'Trending', 'url':'http://www.reddit.com/domain/youtube.com/top/.json'}, {'title':'Popular', 'url':'https://www.googleapis.com/yout...
""" Demo for chunk extraction in pyClarion. Prerequisite: Understanding of the basics of pyClarion as discussed in the demo `free_association.py`. """ from pyClarion import ( Structure, Construct, agent, subsystem, buffer, flow_bt, flow_tb, features, chunks, terminus, feature, updater, Chunks, Asset...
import numpy from pylab import * from scipy.interpolate import interp1d d1,e1,ee1,f1,ef1=numpy.loadtxt("full.txt",unpack=True) f1=-f1*31.6e-15 inds=argsort(d1) d1=d1[inds] f1=f1[inds] d2,e2,ee2,f2,ef2=numpy.loadtxt("PEC.txt",unpack=True) f2=-f2*31.6e-15 inds=argsort(d2) d2=d2[inds] f2=f2[inds] d3,e3,ee3,f3,ef3=numpy...
# _*_ coding:utf-8 _*_ # 练习函数调用。 def hello(name): print "hello",name pass def manyHello(): for i in ["a","bobo","green"]: hello(i) pass manyHello()
from comex_stat.assets.models import (CGCE, CUCI, NCM, SH, AssetExportFacts, AssetImportFacts, Country, FederativeUnit, TradeBlocs, Transportation, Urf) from graphene_django.filter.fields import DjangoFilte...
import numpy as np import pandas as pd np.random.seed(101) df = pd.DataFrame(np.random.randn(5, 4), index='A B C D E'.split(), columns='W X Y Z'. split()) print(df) print(df[['W', 'Z']]) df['new'] = df['W'] + df['X'] print(df) print(df.loc['A', 'X']) print(df.loc['A'])
# coding: utf-8 """ Prisma Cloud Compute API No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 The version of the OpenAPI document: 21.04.439 Generated by: https://openapi-generator.tech """ from __future__ import absolute_impor...
import boto3 def post_handler(event, context): sns= boto3.client('sns') response = sns.publish( TopicArn='arn:aws:sns:eu-west-1:538353771716:mytopic', Message='testinglambda' ) return{ "message" : "successful" }
# -*- coding: utf-8 -*- # ----------------------------------------------------------------------------- # Copyright © Spyder Project Contributors # # Licensed under the terms of the MIT License # (see spyder/__init__.py for details) # ----------------------------------------------------------------------------- """Test...