content stringlengths 5 1.05M |
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#////////////////////////////////////////////////////////////////////
#////////////////////////////////////////////////////////////////////
# script: fusionDetectionPipelineManual.py
# author: Lincoln
# date: 1.9.19
#
# FUCK REFLOW
# usage:
# ipython fusionDetectionPipelineManual.py
#
# RUN FROM SCREEN SESSION!!
#/... |
from unittest import TestCase
from aazdev.app import create_app
from utils.config import Config
import os
import shutil
class ApiTestCase(TestCase):
AAZ_DEV_FOLDER = os.path.expanduser(os.path.join('~', '.aaz_dev_test'))
def __init__(self, *args, **kwargs):
self.cleanup_dev_folder()
Config.AA... |
__author__ = 'brett'
from rest_framework import viewsets, exceptions
from ..models import MatchResult
from .serializers import MatchResultSerializer
class MatchResultViewSet(viewsets.ReadOnlyModelViewSet):
queryset = MatchResult.objects.all().select_related('home_team', 'away_team')
def get_queryset(self):... |
"""
Module contain all need parameters to create a board.
It has two specific pair of variables:
- width and height of the chess board
- width and height of the field on the chess board, witch is a 1/64 part of whole board
Code using this module has to handle following exceptions:
AttributeError,TypeError: invalid ty... |
'''
1. 登录认证；
2. 增删改查和搜索
3.1 增 add # add monkey 12 132xxx monkey@51reboot.com
3.2 删 delete # delete monkey
3.3 改 update # update monkey set age = 18
3.4 查 list # list
3.5 搜 find # find monkey
3. 格式化输出
'''
# 标准模块
import sys
# 定义变量
RESULT = []
INIT_FAIL_CNT ... |
#
# PySNMP MIB module WL400-SNMPGEN-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/WL400-SNMPGEN-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 21:29:47 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Ma... |
"""Constants for the TickTick integration."""
DOMAIN = "ticktick"
|
import argparse
import os
import time
import wave
import numpy as np
import pyaudio
import utils
import model
import tensorflow
parser = argparse.ArgumentParser()
# set up training configuration.
parser.add_argument('--n_classes', default=5994, type=int, help='class dim number')
parser.add_argument('--audio_db', defau... |
from pygears import gear, registry
from pygears.typing import Union
from pygears.common.demux import demux
from pygears.common.mux import mux
from pygears.common.shred import shred
def fill_type(din_t, union_t, sel):
dtypes = union_t.types.copy()
dtypes[sel] = din_t
return Union[tuple(dtypes)]
@gear
de... |
"""
Script for making various plots for optimisation of regularisation parameters, as provided by RooUnfoldParms class:
http://hepunx.rl.ac.uk/~adye/software/unfold/htmldoc/RooUnfoldParms.html
Plots produced:
- Chi squared values vs regularisation parameter
- RMS of the residuals given by the true and the unfolded dis... |
# BAREOS - Backup Archiving REcovery Open Sourced
#
# Copyright (C) 2013-2014 Bareos GmbH & Co. KG
#
# This program is Free Software; you can redistribute it and/or
# modify it under the terms of version three of the GNU Affero General Public
# License as published by the Free Software Foundation, which is
# listed in ... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import json
import datetime
import decimal
from sqlalchemy.ext.declarative import DeclarativeMeta
class AlchemyJsonEncoder(json.JSONEncoder):
def default(self, obj):
if isinstance(obj.__class__, DeclarativeMeta):
# an SQLAlchemy class
... |
from django.db import models
from mptt.models import MPTTModel, TreeForeignKey
from django.db.models.fields.files import FieldFile
from . import tgupload
import os
from django.core.exceptions import SuspiciousFileOperation
from django.conf import settings
from django.contrib.auth import get_user_model
class RemoteFiel... |
import tba_config
from controllers.base_controller import LoggedInHandler
from helpers.suggestions.suggestion_test_creator import SuggestionTestCreator
class AdminCreateTestSuggestions(LoggedInHandler):
"""
Create test suggestions.
"""
def get(self):
self._require_admin()
if tba_confi... |
# 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 numpy as np
import tensorflow as tf
import tensorlight as light
def sse(outputs, targets, name=None):
"""Sum of squared error (SSE) between images.
Parameters
----------
outputs: Tensor [batch_size, ...] of type float32
The first tensor.
targets: Tensor [batch_size, ...] of type flo... |
import sys
import os
sys.path.append(os.path.abspath("../"))
from unittest import TestCase
from unittest.mock import patch
from unit_test.util import Util
from icon_servicenow.actions.get_attachments_for_an_incident import GetAttachmentsForAnIncident
from icon_servicenow.actions.get_attachments_for_an_incident.schema... |
# Generated by Django 1.11.20 on 2019-04-09 19:32
import django.db.models.deletion
import django.utils.timezone
import model_utils.fields
import simple_history.models
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencie... |
nota1 = float(input())
nota2 = float(input())
nota3 = float(input())
med = (nota1 + nota2 + nota3)/3
print(round(med,2)) |
from cffi import FFI
ffibuilder = FFI()
ffibuilder.cdef("""
void binary_gaussian_elimination(int **A, int m, int n);
void mat_vec_mod2(int **A, int *x, int *y, int m, int n);
void print_mat(int **A, int m, int n);
""")
ffibuilder.set_source("mm2r",
"""
void binary_gaussian_elimination(int **A, int m, int n);
void mat... |
class Settlement:
def __init__(self, req):
self.req = req
async def fetch(self, **kwargs):
"""
:param kwargs:
:return:
"""
endpoint = 'settlement'
return await self.req.get(endpoint=endpoint, params=kwargs) if kwargs else await self.req.get(endpoint=end... |
# Practical subset usage
# PyTorch dataset
import numpy as np
import torch
from torch.utils.data import Dataset
train_set = np.load('./train.npy')
train_label = np.load('./train_label.npy')
class EyeTrackingDataset(Dataset):
def __init__(self, train_set, train_label):
self.train_set = train_set
... |
def threeSum(nums: 'List[int]') -> 'List[List[int]]':
nums.sort()
result = []
for i in range(len(nums)-2):
if (i>0 and nums[i-1]==nums[i]):
continue
lo, hi = i+1, len(nums)-1
while lo<hi:
sum = nums[i]+nums[lo]+nums[hi]
if (sum==0):
... |
import glob, os, warnings
import pandas as pd
import numpy as np
from datetime import datetime
from posenet.constants import *
def count_files(path):
path = path + "\*.jpg"
return len(glob.glob(path))
def append_part(arr, path):
df = pd.DataFrame(arr)
df.to_csv(path, encoding="utf-8", index=False,... |
#!/usr/bin/python3
import os
import sys
import cv2
import time
import torch
import rospy
import torch.optim as optim
import torch.nn as nn
from PIL import Image
from sensor_msgs.msg import CompressedImage
from torchvision import datasets, transforms
from matplotlib import patches, patheffects
from paramiko import SSHC... |
"""
Register the top menu for the frontend.
"""
from flask_nav import Nav
from flask_nav.elements import (
Navbar,
View,
Link
)
nav = Nav()
nav.register_element('frontend_top', Navbar(
View('Home', 'frontend_blueprint.index'),
View('Processors', 'processors_blueprint.processors'),
View('Chains... |
#! /usr/bin/env python
from __future__ import print_function
import numpy as np
import hello_helpers.hello_misc as hm
from hello_helpers.gripper_conversion import GripperConversion
class SimpleCommandGroup:
def __init__(self, joint_name, joint_range, acceptable_joint_error=0.015):
"""Simple command group... |
#%%
# These algorithm were create in my early learning times when i did not know
# the time and space complexities and all so these are just for educational purpose only.
import os
import pandas as pd
#%%
class Searches():
def __init__(self, paths_csv_file):
# reads paths as data frame and initiali... |
from turkey import Turkey
class WildTurkey(Turkey):
def gobble(self):
print('Gobble gobble')
def fly(self):
print('I am flying a short distance')
|
import argparse
import joblib
from typing import Mapping
from pathlib import Path
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report, accuracy_score
from sklearn.ensemble import RandomForestClassifier
from nu... |
n = int(input())
for i in range(n):
print(' '*(n-i-1)+chr(65+i),end=' ')
if i>0:
print(' '*(2*i-1)+chr(65+i),end='')
print()
for i in range(n-1):
print(' '*(i+1)+chr(65+n-i-2),end='')
if i<n-2:
print(' '*(2*(n-i-2)-1)+' '+chr(65+n-i-2)) |
# ------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License (MIT). See LICENSE in the repo root for license information.
# -------------------------------------------------------------------... |
class Nave:
id_nave = None
id_fabricante = None
nome = None
modelo = None
tripulacao = None
passageiros = None
capacidade_carga = None
preco = None
def getIdNave(self):
return self.id_nave
def setIdNave(self, idnave):
self.id_nave = idnave
def getIdFabrican... |
# 06
# group sizes with histogram
import tacoma as tc
from demo_utils import pl, disp
from tacoma.analysis import plot_group_size_histogram
hs13 = tc.load_json_taco('~/.tacoma/hs13.taco')
groups = tc.measure_group_sizes_and_durations(hs13)
fig, ax = pl.subplots(1,1)
plot_group_size_histogram(groups,ax)
pl.show... |
from django.urls import path, include
from rest_framework import routers
from greenbudget.app.history.urls import (
actuals_history_urlpatterns, actual_history_urlpatterns)
from .views import (
ActualsViewSet, AccountActualsViewSet, SubAccountActualsViewSet,
BudgetActualsViewSet)
app_name = "actual"
ac... |
"""
The visualization module contains tools for real-time visualization as
well as utilities to help in plotting.
"""
from .instrument_monitor import InstrumentMonitor
from .pyqt_plotmon import PlotMonitor_pyqt
__all__ = ["PlotMonitor_pyqt", "InstrumentMonitor"]
|
GLOBAL_SETTINGS = {
"SITES" : ["enwiki","frwiki","arwiki","ruwiki"],
"NAME_INSTANCES" : ["Q101352","Q202444","Q3409032","Q11879590","Q12308941","Q1243157","Q1076664","Q110874"],
"DISAMBIGUATION_INSTANCES" : ["Q4167410"],
"CREDENTIALS_PATH": '../conf/local/credentials.yml'
} |
# Generated by Django 3.0.3 on 2020-02-22 00:26
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('api', '0003_auto_20200217_1548'),
]
operations = [
migrations.RemoveField(
model_name='service'... |
""" An example how to plot animation like in README
Please replace the regex string for your batch log output
"""
from hsicbt.utils import plot
import matplotlib.pyplot as plt
import numpy as np
import glob
def plot_needle_distribution():
regex = "./assets/activation/raw/070820_152112_needle-hsictrain-mnist-*.npy... |
'''
while em Python
Utilizado para realizar ações enquanto uma condição for verdadeira.
'''
x = 0
while x < 10:
print(x)
x = x + 1
print('FIM!')
print('-'*12)
y = 0
while y < 10:
if y == 3:
y = y + 1
#continue
#break
print(y)
y = y + 1
print('-'*12)
x = 0 # coluna
while x ... |
import json
from os import walk
import numpy as np
import pandas as pd
import plotly.express as px
from py4j.java_gateway import JavaGateway
import itertools
DISTR_SRC_FILE_PATH = '../../java/pt/ist/socialsoftware/mono2micro/utils/mojoCalculator/src/main/resources/distrSrc.rsf'
DISTR_TARGET_FILE_PATH = '../../java/pt/i... |
# Copyright (c) 2014-2020 Cloudify Platform Ltd. 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 ... |
import socket
# http层
# tcp udp
# socket是操作系统用来进行网络通信的底层方案
# 1. create socket
# 2. connect domain port
# 3. create request
# 4. unicode -> encode -> binary binary -> decode -> str
# 5. socket send
# 6. socket recv
# 参数 socket.AF_INET 表示是 ipv4 协议
# 参数 socket.SOCK_STREAM 表示是 tcp 协议
# 这是普通的 http socket,不是https，所以端口不能是4... |
# Copyright 2015 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 applica... |
from .test import TestCase
__all__ = [
'TestCase',
]
|
import tensorflow as tf
class BahdanauAttention(tf.keras.layers.Layer):
def __init__(self, units):
super(BahdanauAttention, self).__init__()
self.W1 = tf.keras.layers.Dense(units)
self.W2 = tf.keras.layers.Dense(units)
self.V = tf.keras.layers.Dense(1)
def call(self, query, va... |
"""empty message
Revision ID: 5f86e3e2b044
Revises: 4a40191fc890
Create Date: 2019-06-22 20:10:26.664893
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '5f86e3e2b044'
down_revision = '4a40191fc890'
branch_labels = None
depends_on = None
def upgrade():
# ... |
# pylint:disable=unused-variable
# pylint:disable=unused-argument
# pylint:disable=redefined-outer-name
from typing import AsyncIterator
import pytest
from aioresponses import aioresponses
from faker import Faker
from hypothesis import HealthCheck, given, settings
from hypothesis import strategies as st
from models_... |
import datetime
import shutil
import sqlite3
import urllib.parse
from pathlib import Path
import subprocess as sp
from yaspin import yaspin
from building import build_packages
from utils import parse_package_names, read_config, find_package_deps
from snapshots import prepare_snapshot, commit_snapshot, current_snapsho... |
"""
交易机器人
"""
import time
import datetime
import numpy as np
import pandas as pd
import pandas_datareader as pdr
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import matplotlib as mpl
import flynnBot.indicators as mindicators
mpl.rcParams['grid.color'] = 'gray'
mpl.rcParams['grid.linestyle'] = '... |
import pandas as pd
from sklearn.decomposition import TruncatedSVD
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.pipeline import make_pipeline
from blocktorch.pipelines.components.transformers.preprocessing import (
TextTransformer
)
class LSA(TextTransformer):
"""Transformer to ca... |
from nltk import word_tokenize
from nltk.stem import WordNetLemmatizer
import spacy
nlp = spacy.load("en_core_web_sm") # Don't put this inside the function- loading it in every CV iteration would tremendously slow down the pipeline.
class LemmaTokenizer:
"""
Class for custom lemmatization in `sklearn.feature_... |
import logging
import subprocess
import time
import os
import sys
import datetime
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "project.settings")
sys.path.append(os.getcwd())
import django # noqa: E402
django.setup()
from django.conf import settings
from apscheduler.schedulers.background import BackgroundSchedul... |
from aurora.settings.base import *
import os
# Override base.py settings
DEBUG = True
ALLOWED_HOSTS = []
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.c... |
# Copyright 2020 Tensorforce Team. 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 la... |
from random import randint
class Solution(object):
def __init__(self, nums):
"""
:type nums: List[int]
:type numsSize: int
"""
self.nums = nums
def pick(self, target):
"""
:type target: int
:rtype: int
"""
r = self.nums.index(ta... |
#Desafio 8 Escreva um programa que leia um valor em metros e o exiba convertido em centimos e milimetros.
medida = float(input('Uma distância em metros: '))
cm = medida * 100
mm = medida * 1000
print('A medida de {}m corresponde a {}cm e {}mm'.format(medida, cm, mm))
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
A Python implementation of the method described in [#a]_ and [#b]_ for
calculating Fourier coefficients for characterizing
closed contours.
References
----------
.. [#a] F. P. Kuhl and C. R. Giardina, “Elliptic Fourier Features of a
Closed Contour," Computer Visio... |
from carton import Carton
f = open('input','r')
entry = [int(s) for s in f.readline().split(",")]
lines = f.readlines()
t = len(lines)
i = 1
cards = []
while (i < t):
data = []
for j in range(5):
data.append([int(v) for v in lines[i].split()])
i += 1
d = Carton(data)
cards.append(d)
... |
import socket
#create an INET, raw socket
s = socket.socket(socket.AF_INET, socket.SOCK_RAW, socket.IPPROTO_TCP)
# receive a packet
while True:
raw_output = s.recvfrom(65565)
bytes_raw_output = raw_output[0]
bytes_output = str(bytes_raw_output).encode("utf-8").strip()
adress_raw_output = raw_output[1]... |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'D:\PyCharmProjects\rp_air\ui\rp_air_main_ui.ui'
#
# Created: Wed Apr 15 14:21:40 2015
# by: PyQt4 UI code generator 4.11.3
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
try:
_fromUtf8 = Q... |
#!/usr/bin/env python
def issquare(n):
return (int(round(n**.5)))**2 == n
total=m=0
while total < 10**6:
m += 1
for ipj in xrange(2*m+1):
if not issquare(ipj**2+m**2): continue
if ipj > m+1: total += (2*m+2-ipj)/2
else: total += ipj/2
print m
|
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'demoProgressBar.ui'
#
# Created by: PyQt5 UI code generator 5.6
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Dialog(object):
def setupUi(self, Dialog):
... |
#!/usr/bin/env python2.7
# Amazon FPGA Hardware Development Kit
#
# Copyright 2016 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Amazon Software License (the "License"). You may not use
# this file except in compliance with the License. A copy of the License is
# located at
#
# htt... |
GOOD = 0 # value is perfectly A-okay
INSUF_HIST = 1 # value best-guess was made due to insufficient history (ex, acceleration set to zero due to one timestamp)
MISSING = 2 # value is missing (no car in front, etc.)
CENSORED_HI = 3 # value is past an operating threshold
CENSORED_LO = 4 # value is below an operating... |
import math
import torch
from tqdm import tqdm
def train_eval(model, criterion, eval_iter, rnn_out=False):
model.eval()
acc = 0.0
n_total = 0
n_correct = 0
test_loss = 0.0
for x, y in eval_iter:
with torch.no_grad():
if torch.cuda.is_available():
x = x.cuda... |
#
# Plasma
# Copyright (c) 2020 Homedeck, LLC.
#
from cv2 import cornerHarris, findTransformECC, MOTION_TRANSLATION, TERM_CRITERIA_COUNT, TERM_CRITERIA_EPS
from numpy import array, argpartition, asarray, column_stack, concatenate, eye, float32, ndarray, ones, split, stack as stack_array, unravel_index
from numpy.... |
#!/usr/bin/env python
#
# This library is for Grove - Time of Flight Distance Sensor VL53L0X
# (https://www.seeedstudio.com/Grove-Time-of-Flight-Distance-Sensor-VL53L0-p-3086.html)
# which is a high speed, high accuracy and long range distance sensor based on VL53L0X.
#
# This is the library for Grove Base Hat which us... |
"""Tests for the text reuse module."""
import logging
from unittest import TestCase, skip
import spacy
from dphon.reuse import MatchGraph
from spacy.tokens import Doc
from dphon.extend import LevenshteinExtender
from dphon.match import Match
# disconnect logging for testing
logging.captureWarnings(True)
logging.disa... |
import cs.utils as utils
import gzip
import json
import logging
import os
import shutil
import uuid
import cs_cmdline
import cs_dhcp
import cs_firewallrules
import cs_forwardingrules
import cs_loadbalancer
import cs_network_acl
import cs_public_ip_acl
import cs_staticroutes
import cs_virtualrouter
class DataBag:
... |
#!/usr/bin/python
import os, sys
from jinja2 import Template
if len(sys.argv) != 4:
print("Allowed paremeters are 3, the source, destination and environment variable prefix parameters and you are passing %d args" % (len(sys.argv) - 1))
sys.exit(1)
template_file = sys.argv[1]
config_file = sys.argv[2]
env_pre... |
import pytest
from lib.two_sum import two_sum
def test_example_one():
nums = [2, 7, 11, 15]
target = 9
assert two_sum(nums, target) == [0, 1]
def test_example_two():
nums = [2, 3, 4]
target = 6
assert two_sum(nums, target) == [0, 2]
def test_example_three():
nums = [-1, 0]
target... |
#!/usr/bin/env python3
# Cordwood Puzzle (second edition) by Boldport
# Boldport Club project #3, May 2016
# This program controls the Boldport Cordwood Puzzle (v2) using the 2N7000 n-channel FETs on the board.
# Made by Dries Renmans, 20160516 (mailto:dries.renmans@telenet.be)
# Dependencies: python3, RPi.GPIO
impor... |
import numpy as np
from cost_functions import trajectory_cost_fn
import time
import logging
def dd(s):
logging.getLogger("hw4").debug(s)
def di(s):
logging.getLogger("hw4").info(s)
class Controller():
def __init__(self):
pass
# Get the appropriate action(s) for this state(s)
def get_act... |
import os
import mmcv
import pytest
import torch
from mmgen.apis import (init_model, sample_img2img_model,
sample_uncoditional_model)
class TestSampleUnconditionalModel:
@classmethod
def setup_class(cls):
project_dir = os.path.abspath(os.path.join(__file__, '../../..'))
... |
# -*- coding: utf-8 -*-
"""
Created on Fri Jul 20 09:45:33 2018
@author: lenovo
"""
# created by cui 20180720 Friday 09:45
# finished by cui 20180720 Friday 09:56
def CountSort(A, k):
B = []
for i in range(len(A)):
B.append(0)
C = []
for j in range(k + 1):
C.append(... |
from . import rpn, rrpn # noqa F401 isort:skip
def build_proposal_generator(cfg, input_shape):
"""
Build a proposal generator from `cfg.MODEL.PROPOSAL_GENERATOR.NAME`.
The name can be "PrecomputedProposals" to use no proposal generator.
"""
name = cfg.MODEL.PROPOSAL_GENERATOR.NAME
if name == ... |
#!/usr/bin/env python3
for value in range(1, 15):
print("insert " + str(value) + " user" + str(value) + " user" + str(value) + "@codinglab.fr")
# insert 15 user15 user15codinglab.fr
|
"""
feature map input : (batch_size, num_channels, fm_size[0], fm_size[1])
feature map output size : (input_size, num_filters, fm_size[0], fm_size[1])
filter_size : (, fm_size[0], fm_size[1])
"""
import numpy as np;
import theano;
import theano.tensor as T;
from scae_destin.convnet import ConvNetBase
class CKMLayer... |
import random as rand
from yachalk import chalk
import emoji
def welcome_en():
print("")
name = str(input("What's your name ? "))
if name == '':
name = 'Jakob'
else:
pass
print("Welcome, " + chalk.red(chalk.bg_white("{} ")).format(name) + emoji.emojize(":red_exclamati... |
# FIND FIRST AND LAST POSITION OF ELEMENT IN SORTED ARRAY LEETCODE SOLUTION:
# creating a class.
class Solution(object):
# creating a function to solve the problem.
def searchRange(self, nums, target):
# creating a list.
l = []
# creating an if-statement to check if the ta... |
from .load_backend import *
|
# -*- coding: utf-8 -*-
#
# Copyright (C) 2016-2018 by Ihor E. Novikov
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License
# as published by the Free Software Foundation, either version 3
# of the License, or (at your option) any la... |
import networkx as nx
import pandas as pd
#from community import community_louvain
from random import choice
from multiprocessing import Pool
import itertools
import os
def import_graph(path):
"""
Import and read a networkx graph to do some calculations
Args:
path (string): path of the networkx g... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
from django.db.models import Q
def leave_only_last_security_scan(apps, schema_editor):
SecurityScan = apps.get_model("security", "SecurityScan")
total_scans = SecurityScan.objects.count()
base_objec... |
from a10sdk.common.A10BaseClass import A10BaseClass
class SessionList(A10BaseClass):
"""This class does not support CRUD Operations please use parent.
:param protocol: {"type": "string", "format": "string"}
:param inside_v6_address: {"type": "string", "format": "ipv6-address"}
:param inbound: {"... |
#-*- coding: utf-8 -*-
#For Flask-Alchemy
#使用SqlAutocode，根据数据库已有表，产生符合Flask-SqlAlchemy要求的models的定义
import os.path
from sqlautocode.declarative import name2label
from flask.ext.sqlalchemy import SQLAlchemy
from .flask_factory import FlaskModelFactory
def no_prefix_wrapper(f, prefix=None):
def _name2label(name, sc... |
import asyncio
import functools
import threading
import time
def ttl_lru_cache(seconds: int, maxsize: int = 128, typed: bool = False):
def wrapper_cache(func):
wrapped_cache_func = functools.lru_cache(maxsize=maxsize, typed=typed)(func)
wrapped_cache_func.delta = seconds * 10 ** 9
wrapped_... |
"""Utilities related to logging."""
import os
import sys
import logging
import datetime
import pathlib
import appdirs
logger = logging.getLogger(__name__)
class WarningLoggedError(Exception):
"""Special exception to raise when a warning message is logged.
Satpy has the tendency to log warnings when things ... |
from typing import Optional
from interface.iapp import IApp
from interface.igossipmanager import IGossipManager
class GossipManager(IGossipManager):
def __init__(self):
self.app: Optional[IApp] = None
def set_app(self, app: IApp):
self.app = app
def start(self):
"""Starts the ru... |
from typing import List
from boa3.builtin import public
@public
def Main(operation: str, args: List[int]) -> int:
if len(args) < 2:
return 0
a: int = args[0]
b: int = args[1]
c: int
if a < b:
c = Add(a, b)
elif a <= 0 and b <= 0:
c = Sub(a, b)
else:
c = 0
... |
'''
The Robot Model package.
A set of classes designed to represent the main aspects of the rigid-body-dynamics
model of an articulated robot, such as connectivity, numbering scheme of the
links, attached frames, geometrical measurements.
''' |
class Solution:
def numMagicSquaresInside(self, grid: List[List[int]]) -> int:
def all_vals_valid(row, col):
numbers = set()
for i in range(row, row + 3):
for j in range(col, col + 3):
if 1 > grid[i][j] or grid[i][j] > 9 or grid[i][j] in number... |
# coding: utf-8
from Crypto.Cipher import AES
import base64
import requests
import json
headers = {
'Cookie': 'appver=1.5.0.75771;',
'Referer': 'http://music.163.com/',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36'
}
# ... |
import math
import multiprocessing
import os
import queue
import time
from collections import defaultdict
from copy import copy
from multiprocessing import shared_memory
import copy
import numpy as np
from scipy.signal import fftconvolve
from Implementations.helpers.Helper import toNumbers, ListToPolynomial
from Impl... |
#
# Copyright (c) 2021, NVIDIA CORPORATION.
#
# 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 ... |
# python example 2
# http://www.steves-internet-guide.com/python-mqtt-publish-subscribe/
import paho.mqtt.client as paho
broker="broker.hivemq.com"
broker="iot.eclipse.org"
#define callback
def on_message(client, userdata, message):
time.sleep(1)
print("received message =",str(message.payload.decode("utf-8")))
clien... |
'''OpenGL extension APPLE.texture_max_level
This module customises the behaviour of the
OpenGL.raw.GLES2.APPLE.texture_max_level to provide a more
Python-friendly API
Overview (from the spec)
This extension allows an application to specify the maximum (coarsest)
mipmap level that may be selected for the specif... |
# coding: utf-8
# flake8: noqa
from __future__ import absolute_import
# import models into model package
from openapi_server.models.create_docker_submission_request import CreateDockerSubmissionRequest
from openapi_server.models.create_file_submission_request import CreateFileSubmissionRequest
from openapi_server.mode... |
"""
Obtains data for a side pairing.
"""
from click import *
from logging import *
import pandas as pd
@command()
@option("--input", required=True, help="the Feather file to read input data from")
@option("--output", required=True, help="the Feather file to write output to")
@option(
"--sides",
type=Choice(... |
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