index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
999,600 | 01da8493c1c735a7ff806dde9b16a6a927817f5e | def gen_primes():
D = {}
q = 2
while True:
if q not in D:
yield q
D[q * q] = [q]
else:
for p in D[q]:
D.setdefault(p + q, []).append(p)
del D[q]
q += 1
primes = gen_primes()
... |
999,601 | 45cc3a76afc1ed591ab23efa0831e8b4ff25be40 | if __name__ == "__main__":
total()
escape()
print_escape()
print_eat()
import colorama
from colorama import Fore, Back, Style
colorama.init()
def total(*params):
res = 0
for item in params:
res += sum(item)
return res
def escape(*params):
res2 = 0
for item in params:
... |
999,602 | a6d9069fb46a2a08ec6329e2e80399a31a157c49 | import sys
import array
import copy
file = open("../inputs/day13input.txt", "r")
directions = file.read().split("\n")
layers = {}
#map each location to the length of the array at that location
for d in directions:
dSplit = d.split(":")
leftSide = int(dSplit[0])
rightSide = int(dSplit[1].strip())
layers[leftSide]... |
999,603 | e483d65e9e64f3f5efa68d37e2654fce49244dfa | import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
secondary_sales = pd.read_csv("WC_DS_Ex1_Sec_Sales.csv",parse_dates=[3],index_col=[3]).sort_index()
secondary_sales['promotions'] = 1 - secondary_sales['SP']/secondary_sales['MRP']
train = secondary_sales[['Store_Code... |
999,604 | 758b808b2b114a5a76d1b9f1880a7d1e557c2be6 | def climbingStaircase(n, k):
rs = Staircase().climb(n, k)
return sorted(rs)
class Staircase:
def __init__(self):
self.mem = dict()
def climb(self, n, k):
print(f"climbingStaircase({n}, {k})")
if n == 1:
return [[1]]
elif n == 0:
return [[]]
... |
999,605 | 41fd187be56e648d3ecb2c0a0c02aaf7b691dac0 | pyg = 'ei'
original = raw_input('Escribe una palabra:')
if len(original) > 0 and original.isalpha():
palabra = original.lower()
primera = palabra[0].lower()
if primera == "a" or primera == "e" or primera == "i" or primera == "o" or primera == "u":
nueva_palabra = palabra + pyg
else:
... |
999,606 | c7604abd4f26f3e60b7568b085fb3fb9acc27f21 | #!/usr/bin/env python3
#-*- Coded By SadCode -*-
import re
import requests
import urllib.request
import json
import codecs
import os
import sys
import argparse
import mutagen
from mutagen.easyid3 import EasyID3
from mutagen.id3 import ID3, APIC
CLIENTID="Oa1hmXnTqqE7F2PKUpRdMZqWoguyDLV0"
API = "https://api.soundclou... |
999,607 | 07d3a9be938d89a832fc534dfe6ea14c2dc737ac | # 编写一个程序，通过填充空格来解决数独问题。
# 一个数独的解法需遵循如下规则：
# 数字 1-9 在每一行只能出现一次。
# 数字 1-9 在每一列只能出现一次。
# 数字 1-9 在每一个以粗实线分隔的 3x3 宫内只能出现一次。
# 空白格用 '.' 表示。
# https://leetcode-cn.com/problems/sudoku-solver
class Solution:
def solveSudoku(self, board: List[List[str]]) -> None:
"""
Do not return anything, modify board in-... |
999,608 | 2374e8feb344a24c3de015b933318a426e45f9d7 | def angle_diagram(x1,x2,x3,x4,palm_point,input_image):
row = input_image.shape[0]
col = input_image.shape[1]
copy = np.zeros((row,col))
copy = input_image
#box coordinates
x1=[40,15]
x2=[20,25]
x4=[40,65]
x3=[60,55]
palm_point = [75,75]
top_mid = [(x1[0]+x2[0])//2,(x1[1]+x2[1])//2]
base_mid = [(x3[0]... |
999,609 | c05154e87f3ecac43cc910f0bea3b6d397f7a59b | import numpy as np
import requests, pybel, json
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, relationship
from sqlalchemy import create_engine
from sqlalchemy import Column, Integer, Float, Text, Boolean, String, ForeignKey, UniqueConstraint
Base = declarative_base()... |
999,610 | e2fa8c83d258b204cc120301eae1faac267d8756 | n = float(input())
if (n - int(n)) >= 0.5:
print(int(n) + 1)
else:
print(int(n))
|
999,611 | d0f2c31348babcf527b5aebf40aab9ec85bfc8e5 | #!/usr/bin/python3 -u
from tango.server import run
import os
from ZaberTMMAxis import ZaberTMMAxis
from ZaberTMMCtrl import ZaberTMMCtrl
# Run ZaberTMMCtrl and ZaberTMMAxis
run([ZaberTMMCtrl, ZaberTMMAxis]) |
999,612 | c345d59cee43bc166bf3570dc83e0d73b711acf5 | #!/usr/bin/python
# -*- codding: utf-8 -*-
import os
import sys
sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
from common.execute_command import write_two_parameter
# url : https://awscli.amazonaws.com/v2/documentation/api/latest/reference/cloudformation/create-change-set.html
if __name_... |
999,613 | 7a5325e00f0a316ddd27e5cdc3e3e03ac771a339 | '''
272. Closest Binary Search Tree Value II
Given the root of a binary search tree, a target value, and an integer k, return the k values in the BST that are closest to the target. You may return the answer in any order.
You are guaranteed to have only one unique set of k values in the BST that are closest to the tar... |
999,614 | 158e68668b2977e277f87a9f23b10dc703aad1db | import json
import pprint as pp
import math
#Authors: Evan Bluhm, Alex French, Elizabeth Gass, Samuel Gass, Margaret Yim
class StarSolver():
graph = {}
def get_node_with_min_f_score(node_set):
min_value = math.Inf
best_node = None
for n in node_set.values():
if n.f_score <... |
999,615 | 594e43b10b57189fe81d909bad79f05f7dfece44 | import pandas as pd
import quandl, math, datetime
import numpy as np
from sklearn import preprocessing,svm
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
from matplotlib import style
import pickle
style.use('ggplot')
... |
999,616 | 3ea65a0da4393be49b9412a0db31c1cfac6a8905 | import pandas as pd
import numpy as np
from sklearn.metrics import confusion_matrix, f1_score
from sklearn.base import BaseEstimator
from typing import Text, Dict
def evaluate(df: pd.DataFrame, target_column: Text, clf: BaseEstimator) -> Dict:
"""Evaluate classifier on a dataset
Args:
df {pandas.Data... |
999,617 | 47d345ab6c8fd9f6f913956aaf7108b5d08810f1 | """Tests xonsh tools."""
import datetime as dt
import os
import pathlib
import stat
import warnings
from tempfile import TemporaryDirectory
import pytest
from xonsh import __version__
from xonsh.lexer import Lexer
from xonsh.platform import HAS_PYGMENTS, ON_WINDOWS, PYTHON_VERSION_INFO
from xonsh.pytest.tools import ... |
999,618 | b87cfe08c1bc27da8b25d66c690f81e980bfc360 |
from django.conf.urls import url, include
from django.urls import path
from rest_framework import permissions
from .serializers import *
from .views import *
from rest_framework_simplejwt.views import (
TokenObtainPairView,
TokenRefreshView,
TokenVerifyView,
)
faculty_list = Fac... |
999,619 | 96f2230ed57be6225cb9ab1164b7e4e9660a23c6 | # -*- coding: utf-8 -*
"""
实现模型的调用
"""
from flyai.dataset import Dataset
from model import Model
data = Dataset()
model = Model(data)
# p = model.predict(
# source="新华社 北京 5 月 8 日 电 中国 跳水 名将 余卓成 7 日 在 美国 佛罗里达州 举行 的 国际泳联 跳水 大奖赛 上 ， 获得 男子 一米板 冠军 。 新华社 北京 5 月 8 日 电 中国 跳水 名将 余卓成 7 日 在 美国 佛罗里达州 举行 的 国际泳联 跳水 大奖赛 上 ， 获得 ... |
999,620 | d4670ed2ae4038a376c84fd5fcd378ea6596a806 | """
The tspio module basically contains the messy code that is avoided in the
IOModule but has to exist, like showing file dialogues, parsing files
and writing files, as well as some helper methods for string construction
from data structures."""
import re
import ast
import os
import tsputil
from Node i... |
999,621 | 5dd8f34c65644ec3314e1ad102613aa2e1bdab3e | from django.db import models
from django.db.models import Sum
from datetime import datetime
from pytz import timezone
class Destination(models.Model):
name = models.CharField(max_length=100)
address = models.CharField(null=True, max_length=100)
def __str__(self):
return str(self.name)
class Produ... |
999,622 | 4ae7f07d5148a901e4001c869ac2b173da409241 | ##
# This is the web service form for the Crazy Ivan RDFa Test Harness script.
# License: Creative Commons Attribution Share-Alike
# @author Manu Sporny
import os, os.path
import re
from re import search
from urllib2 import urlopen
import urllib
from rdflib.Graph import Graph
import xml.sax.saxutils
from mod_python imp... |
999,623 | bfdb0ef399e0aa6cf40710235ebd4ecd45101bb1 | class Node(object):
def __init__(self,data):
self.data = data
self.nxt = None
class Stack(object):
def __init__(self, top):
self.top = top
def pop(self):
if not self.top:
return None
output = self.top.data
self.top = self.top.next
return ... |
999,624 | a5a957cdb92325d970ccecaea0e1a8da4d3ce844 | from application import db
from sqlalchemy.sql import text
class Book(db.Model):
id = db.Column(db.Integer, primary_key=True)
date_created = db.Column(db.DateTime, default=db.func.current_timestamp())
date_modified = db.Column(db.DateTime, default=db.func.current_timestamp(),
... |
999,625 | 0dbebcbfcb84d2a6deabea913be6f2e751b99de1 | #4.6
#Write a program to prompt the user for hours and rate per hour using input to compute gross pay.
#Pay should be the normal rate for hours up to 40 and time-and-a-half for the hourly rate for all hours worked above 40 hours.
#Put the logic to do the computation of pay in a function called computepay() and use t... |
999,626 | 6b6804906b67f6728ba12bab3ba51f7a6b66f534 | from .fluxdens import airgap, airgap_fft
from .bch import torque, torque_fft, force, force_fft,\
fluxdens_surface, winding_current, winding_flux, \
voltage, voltage_fft, transientsc_demag, \
i1beta_torque, i1beta_ld, i1beta_lq, i1beta_psid, i1beta_psiq, i1beta_psim, i1beta_up, \
idq_ld, idq_lq, idq_psid... |
999,627 | 89db014a5157795a14eae486e39a209c1aa43655 | '''
1528. Shuffle String
Given a string s and an integer array indices of the same length.
The string s will be shuffled such that the character at the ith position moves to indices[i] in the shuffled string.
Return the shuffled string.
Input: s = "codeleet", indices = [4,5,6,7,0,2,1,3]
Output: "leetcode"
Explanati... |
999,628 | 481d7e6b8c0cd005c8144c1d404f39874f290b59 | import askers
import relayer
import updates
import convert
import fields
import properties
import representations
import term
from term import Term as T
from ipdb import set_trace as debug
import dispatch
import strings
#TODO I should be allowed to have representation changes interleaved with updates?
#FIXME the expl... |
999,629 | cd575be7f20f3ca2b1f9d8144e9422c19b6875aa | # Given a linked list, rotate the list to the right by k places, where k is non-negative.
# Example 1:
# Input: 1->2->3->4->5->NULL, k = 2
# Output: 4->5->1->2->3->NULL
# Explanation:
# rotate 1 steps to the right: 5->1->2->3->4->NULL
# rotate 2 steps to the right: 4->5->1->2->3->NULL
# Example 2:
# Input: 0->1->2-... |
999,630 | e8011f792a8c39d8a0be6ff40586e0911406d1ee | from django.shortcuts import render
from django.http import HttpResponse
from django.views import generic
from django.urls import reverse
from .models import webContent, Artpiece
def home(request):
# think about making this another static .py file to change later
# also add in my welcome message to it instea... |
999,631 | a3614272c8925e97e549b426733c18b94418429b | from django.contrib import admin
from dal import autocomplete
from .models import Topic
from .forms import TopicForm
# Register your models here.
class TopicAdmin(admin.ModelAdmin):
form = TopicForm
fieldsets = (
(None, {
'fields': ('title', 'slug', 'parent_topic', 'description', 'tags... |
999,632 | 965ff8ec6ef19347d5208f82c8fb39d65402ae9a | #!/usr/bin/env python3
"""
用于测试客户端修改属性
"""
import socket
import time
HOST = 'localhost'
PORT = 9998
def main():
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
s.connect((HOST, PORT))
# send_data=b'12.12,325.40,83.71,15.52,38.63,76.51,193.03,258.50,258.70#13.11,331.50,83.46,1... |
999,633 | d6d0c2ef5e399815432ded0580c47e312ad24b1e | from dateutil.relativedelta import relativedelta
from django.contrib.auth import get_user_model
from django.db import models
from django.utils import timezone
from django.utils.translation import gettext_lazy as _
from softdelete.models import SoftDeleteModel
User = get_user_model()
class TimeStampedModel(models.Mo... |
999,634 | 3a2627b477e2717eb63afd9371928725665cfc4e | ../../scripts/convertMetadataRCDB.py |
999,635 | c21759c88ff4ae8e79004551231d020cf2a6961f | from google.appengine.ext import ndb
import json
from model.package import Package
class SerializeHelper(object):
@staticmethod
def serialize_to_dict(ndb_model_instance, exclude_properties=[]):
result = ndb_model_instance.to_dict(exclude=exclude_properties)
if ndb_model_instance.key:
... |
999,636 | 2068cae8b9362794ae87f14b65dd0428c487aabf | def my_func(s):
global flag
sum = 0
flag = False
for i in s:
if i.isdigit():
sum += int(i)
if i == "q":
flag = True
break
return sum
total = 0
while True:
my_list = input("Stroka: ").split()
total += my_func((my_list))
print(total)
... |
999,637 | 7fe897a61c85e1dab110cab381adff881d9728eb | import numpy as np
import pandas as pd
import re
import string
import nltk
import matplotlib.pyplot as plt
import tensorflow as tf
import seaborn as sns
from sklearn.feature_extraction import text
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
from sklearn.metrics imp... |
999,638 | 2f772a28852f67144363e9729d5c08d7540858f7 | from PIL import Image
img=Image.open('IMG.PNG')
im=img.convert('RGB')
im.save('IMG.pdf')
|
999,639 | 676b6add9021f5fd9b4a45a3a4dd64c156b89e8c | #tuple_nesting_example_005.py
# Tuples can contain nested elements
i_am_a_nested_tuple = ((1,2,3), (4,5,6), (7,8,9))
print ( i_am_a_nested_tuple )
# Real world example
#
dwarves = ( (1, "Dopey"), (2, "Grumpy") ,(3, "Sneezy"), ( 4, "Bashful"), (5, "doc"), ( 6, "Happy"),( 7, "sleepy"))
print (dwarves)
# Using ... |
999,640 | 44cecdd3635058727c524ea11eec83fa1107c64d | # Generated by Django 2.2 on 2020-05-17 08:35
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mysite', '0009_category_image'),
]
operations = [
migrations.AlterField(
model_name='category',
name='image',
... |
999,641 | 1881be2d7f3df25b8220f7fa236406ab649e2720 | def moveStone(stones:list):
stones.sort()
n = len(stones)
mx = stones[n-1] - stones[0] -n+1
mx -= min(stones[1]-stones[0]-1,stones[n-1]-stones[n-2]-1)
mi = mx
right = 0
for left in range(n):
# find the stones already in this windows([le, le + n - 1])
while right<n-1 and stones[right+... |
999,642 | 6f1e931a7860756de8f2e49d8c7572adb623c3f3 | #!/usr/bin/env python
#-*- coding:utf-8 -*-
#########################################
# Function: To get the io state
# Usage: python get_io_status.py
# Date: 2015-11-25
# Version: 1.0
#########################################
import subprocess
import sys
def io_stats(device,item):
child1 = 'ios... |
999,643 | 3b4fad50f980f3cab2d1653fef6a13dcb7e80277 | import os
CDN_DOMAIN = os.getenv("CDN_DOMAIN", None)
CDN_HTTPS = True
RATELIMIT_HEADERS_ENABLED = True
RATELIMIT_HEADER_RETRY_AFTER_VALUE = "delta-seconds"
|
999,644 | f2a4a6fb9deefed4c07e71fe86ead90bd6073b90 | from tensorflow.keras.preprocessing import image
from tensorflow.keras import models
import cv2
import numpy as np
import argparse
from tensorflow.keras.preprocessing import image
from tensorflow.keras.applications import mobilenet_v2
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required=True,
... |
999,645 | 545d82e5a8d6a38a0ffed9832cd54ecccb9ca607 | a = input()
b = input()
a_dict, b_dict = {x:0 for x in range(1,10)}, {x:0 for x in range(1,10)}
for c in a:
a_dict[int(c)] += 1
for c in b:
b_dict[int(c)] += 1
def find_match(num=10):
for i in range(1,10):
if a_dict[i] != 0 and b_dict[num-i] != 0:
return i,num-i
|
999,646 | d8ac7030260ac0f30ab55947e5e75dea1f582e9c | students = [
{'name': 'Rezso', 'age': 9.5, 'candies': 2},
{'name': 'Gerzson', 'age': 10, 'candies': 1},
{'name': 'Aurel', 'age': 7, 'candies': 3},
{'name': 'Zsombor', 'age': 12, 'candies': 5}
]
# create a function that takes a list of students and prints:
# - Who has got more candies th... |
999,647 | f264612b85678c423b5cafec0c4d128ddf9a9b7f | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Utility functions used for training a CNN."""
import keras as ks
import os
import numpy as np
from keras import backend as K
from input_utilities import *
from generator import *
from plot_scripts import plot_input_plots
from plot_scripts import plot_traininghistory
fr... |
999,648 | 3e6a39875bd27ce4f9762a0ced2fc0a8cc0fee3d | #!/usr/bin/env python
import os
os.environ['DJANGO_SETTINGS_MODULE'] = 'socialchan.settings'
import django
django.setup()
import pika
from pickle import loads, dumps
from base64 import b64decode, b64encode
import functions
#parameters = pika.URLParameters('amqp://empifJS6:JLdttxhTIzSoZSsgWvbPf8PFTRySIifY@leaping-marjo... |
999,649 | 88915163509c9b81f059cb917e76a9e4cfc2b281 | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 11 11:46:21 2017
@author: Philipp
"""
import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import odeint
#import colorcet as cc
#from datetime import datetime
#import matplotlib.collections as collections
from scipy.signal import argrelextrema, hilber... |
999,650 | 034c6678f4cdbf5e305ccd11ba0fc42f5dacc403 | # Generated by Django 2.0.3 on 2018-04-17 18:03
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('projects', '0007_auto_20180325_1605'),
]
operations = [
migrations.CreateModel(
name='Column',
... |
999,651 | a77314b3ef00f3a35076c3a995db677cb20f1a49 | import logging
from matplotlib import pyplot as plt
from scipy.stats import binom
import config
from utils import get_json_from_file, SECONDS_IN_MONTH
def prompt_tech_selection(technologies=config.TECHNOLOGIES):
"""
Ask user to select a technology from the list, return selection
"""
print("Select te... |
999,652 | bf1824be116e29cc383b901615791ddc76298936 | from django import template
from django.conf import settings
import datetime
register = template.Library()
@register.simple_tag
def requirejs_version():
version_str = ''
if settings.JS_BUILD_VERSION:
version_str = settings.JS_BUILD_VERSION
elif settings.DEBUG:
version_str = datetime.datetime.now().str... |
999,653 | cdec42e5e3f4f9a914f5b2d2a4fbff5ec44b83b2 | k = input().split()
n1 = int(k[0])
n2 = int(k[1])
ans = n1 * n2
print(ans) |
999,654 | fe979a65bce5a25ea8e2585971ca0b94694e35c3 | import cv2
import numpy as np
import matplotlib.pyplot as plt
BLUE, GREEN, RED = (255, 0, 0), (0, 255, 0), (0, 0, 255)
WHITE_LOWER, WHITE_UPPER = (200, 200, 200), (255, 255, 255)
BLACK_LOWER, BLACK_UPPER = (0, 0, 0), (10, 10, 10)
def create_trackbar():
def nothing():
pass
cv2.namedWindow("Trackbar")
cv2.creat... |
999,655 | 23d978bad36233873ffddbc0cc24925be0f677c2 | #imports
import pymysql
#functions
def create(data):
connection = pymysql.connect("localhost","root","helloworld","lifesaver")
cursor = connection.cursor()
query = "INSERT INTO donors VALUES('{}','{}','{}','{}','{}','{}','1998-07-08');".format(data['name'],data['city'],data['email'],data['phone'],data['bloodgroup... |
999,656 | 6789a3578556d8c40d341ab3010a3fadfaf3e315 | import json
import operator
import os
#input file
filepath = "../Data/tokenized/"
#output file
lpath = "../Data/all_labels.json"
max_index = 10
fw = open(lpath,'w')
labels = dict()
def getLabels(fil):
fin = open(fil,'r')
data = json.load(fin)
for row in data:
for each in row["tags"]:
... |
999,657 | 1888c0128cfb80efad93875e343b22eee7d2c900 | import numpy as np
x = [[10, 20], [14, 18]]
X = np.array(x)
y = [[1.7], [1.4]]
y = np.array(y)
def sigmoid(x, deriv = False):
if deriv == True:
return sigmoid(x)*(1 - sigmoid(x))
return 1/(1 + 2.718281**(-x))
class NeuralNetwork:
def __init__(self, X, hidden1, hidden2, hidden3, num_class):
... |
999,658 | f8f34bdbbe39b188b92542a91dc28f04cc5004bd | # Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import sys
from ast import literal_eval
from textwrap import dedent
from typing import List, Set
from unittest import skipIf
import libcst ... |
999,659 | 646d5eb158ec122f71dba04b0676e646bf0c04a3 | from tutorialpress.core.views.categoria import CategoriaViewSet
from tutorialpress.core.views.publicacao import PublicacaoViewSet
|
999,660 | 6fa14cf56759263bfa5410e87688b5e7c8384cd6 | from .base import *
import os
DEBUG = False
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.mysql',
'NAME': 'blogdb',
'USER': 'admin',
'PASSWORD': 'Rhoden5130!',
#いつかRDSに分けた時用 'HOST': 'blogdb.caa7627qv4ac.ap-northeast-1.rds.amazonaws.com',
'HOST': 'ip-172-31... |
999,661 | 49f2fd91ec73dfa54baef8bc5efd6d1073db36c3 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @author: 'orleven'
import os
from lib.core.data import paths
from lib.utils.connect import ClientSession
from lib.core.enums import VUL_LEVEL
from lib.core.enums import VUL_TYPE
from lib.core.enums import SERVICE_PORT_MAP
from script import Script
class POC(Script):
... |
999,662 | 584b17176691594cbd32fb0ed9208c0971dfe646 | '''
Created on Sep 28, 2011
@author: Arif
'''
import xmlrpclib
if __name__ == '__main__':
s = xmlrpclib.ServerProxy('http://localhost:8080')
print "test()"
print ">>", s.test()
|
999,663 | 4897fabae99941264f29fc56ed430ebfb29e3725 | __author__ = 'will'
import pickle
import numpy as np
data = pickle.load( open( "trainingdata.p", "rb" ), encoding="latin1" )
n_images = len(data)
test, training = data[0:int(n_images/3)], data[int(n_images/3):]
def get_training_data():
trX = np.array([np.reshape(a[2],a[2].shape[0]**2) for a in training])
pr... |
999,664 | 81694c64fa592a374d06e9bd0bc8fcd634197f4e | cases = int(input())
for a in range (cases):
flower, distance = [int(x) for x in input().split()]
currentX = 0
currentY = 0
counter = 0
for b in range(flower):
fx, fy = [int(x) for x in input().split()]
distance -= (abs(currentX-fx)**2 + abs(currentY-fy)**2)**0.5
currentX = fx
currentY = fy
if distance ... |
999,665 | fe6bb4a1b18fda23275f51c568bad66b8e3657d7 | #!/usr/bin/env python
#
# 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-2.0OA
#
# Authors:
# - Wen Guan, <wen.guan@cern.ch>, 2020 - 2021
import copy
im... |
999,666 | 435e0e42171adf5e98cd88d0397c475c408320d7 | from .point_wise_feed_forward import PositionwiseFeedForward
from .squeeze_embedding import SqueezeEmbedding
from .attention import Attention
from .bert_aen import BERTAEN
from .bert_spc import BERTSPC
|
999,667 | 289ead22655b067efce3559bc6610eec44d2b291 | import numpy as np
def pca(x,k):
u=np.mean(x,axis=0) #计算均值
x=x-u #均值归一化
sigma=np.cov(x,rowvar=0) #计算协方差矩阵
w,v=np.linalg.eig(sigma) #w为特征值 v为特征向量
index=np.argsort(-w) #特征值从大到小排序，返回索引
index_change=index[:k] #取前k个
v_change=v[:,index_change]
z=x.dot(v_change)
return z |
999,668 | ddf61398be8d3022c7b3994460c725dc2613da64 | from twisted.internet.protocol import Factory
from twisted.internet import reactor, protocol
from network.UOPacketRx import *
from config.uopy import UoPYConfig
import globals
uoConfig = UoPYConfig()
class UOServerProtocol(protocol.Protocol):
def __init__(self, factory):
self.factory = factory
def c... |
999,669 | 400c9ea2fe642a135b842f5487ce70b0b73730c3 | >>> items = ['aaa', 111, (4,5),2.01]
>>> tests = [(4,5),3,14]
>>> for key in tests:
... for item in items:
... if key == item:
... print(key,'was found')
... break
#替代方案：
for key in tests:
if key in items:
print(key,'was found')
else:
prin... |
999,670 | 346244590108c675cac278de7ab88f89623e5a87 | import requests
from datetime import datetime
import config
class FriendsParser:
client_id = 7881208
client_secret = config.client_secret
display = 'page'
scope = 'friends'
def __init__(self):
print('Parser object was created...')
self.token = ''
self.access_token = ''
... |
999,671 | 04309b3aebed9ad2e254500c878082c411874de8 | #
# Copyright (C) 2013 Andrian Nord. See Copyright Notice in main.py
#
from ljd.util.log import errprint
import ljd.bytecode.instructions as ins
import ljd.rawdump.constants
import ljd.rawdump.debuginfo
import ljd.rawdump.code
FLAG_HAS_CHILD = 0b00000001
FLAG_IS_VARIADIC = 0b00000010
FLAG_HAS_FFI = 0b00000100
FLAG... |
999,672 | fac9546a48ef3f3c0f1fda2c6770429b43ff35db | def judge(string, head, tail):
if head >= tail:
return True
if string[head] == string[tail]:
return judge(string, head + 1, tail - 1)
else:
return False
if __name__ == '__main__':
string = input("input your string: ")
if judge(string, 0, len(string)-1):
print("{} 是回... |
999,673 | d17ebbd9a57ddc4d34445531aaaf510de6af6d4c | """
Database calls
"""
from app.util.mssql import MSSQL
def get_user_etrade_params(userId):
with MSSQL() as db:
sql = """
SELECT *
FROM dbo.Users_Etrade_Session
WHERE UserID = ?
"""
return db.query_one(sql, (userId,))
def save_auth_request(token, s... |
999,674 | 31115626675943b41e17f8630d0289057c8635e9 | from threading import Lock
class RWLock(object):
""" RWLock class; this is meant to allow an object to be read from by
multiple threads, but only written to by a single thread at a time.
Original Source Code: https://gist.github.com/tylerneylon/a7ff6017b7a1f9a506cf75aa23eacfd6
Credit: Tyl... |
999,675 | 70c1239bbbab7d7cccbeaaceaa16c9cd891bd235 |
from cx_Freeze import setup, Executable
copyDependentFiles=True
silent = True
includes = ["lxml", "lxml._elementpath", "lxml.etree", "pyreadline", "pyreadline.release", "gzip"]
excludes = ["tcl", "tk", "tkinter"]
setup(
name = "The Mole",
version = "0.3",
description = "The Mole: Digging up your data",
... |
999,676 | b99fe97ca5d2d529c670a89ebc266e574e163fc9 | #!/usr/bin/env python3.7
# FULL LINE COMMENT
print("Hello, World!") # Trailing Comment
|
999,677 | 67f79944a0d8db49d6c6226e9f115f6cd9f1e628 | #this is static load balancing for the mobile back haul
# Copyright (C) 2011 Nippon Telegraph and Telephone 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://ww... |
999,678 | 0676a10180068ddaa4c0ec2a5c36e0901e31fa1b | import django_userhistory.models as models
from django.contrib import admin
try:
admin.site.register(models.UserAction)
admin.site.register(models.UserHistory)
admin.site.register(models.UserTrackedContent)
except Exception, e:
pass |
999,679 | 2e261ddb9df959ead1419419ae64135536fa83ea | # -*- coding: utf8 -*-
import inspect
import os
import sys
import random
import time
import multiprocessing
import logging
import socket
import select
import unittest
BASE_TEST_PATH = os.path.join('test', 'data')
RANDOM_SEED = 42
NUM_DIRS = 10
NUM_SUBDIRS = 10
FILES_PER_DIR = 10
FILE_SIZE = 1024*8
RANDOM_DATA_BUF_SIZE... |
999,680 | 55c8bdc42efd0affdc0e57c77816b66a38ce931d | import csv
def write_to_csv(list,mode):
fieldnames = ['id', 'title', 'year', 'runtime', 'genre', 'director', 'cast', 'writer', 'language', 'country', 'awards', 'imdb_rating', 'imdb_voutes', 'box_office']
with open('Backend_movies.csv', mode, encoding='utf-8' ) as nn:
csvwriter = csv.DictWrit... |
999,681 | 3e87984bf8590f3d9ce0482e0b1a6cd3b22c8dad | # -*- coding: utf-8 -*-
import asyncio
import structlog
from async_timeout import timeout
from sanic import response
import ujson
from ..typedefs import HTTPRequest
from ..typedefs import HTTPResponse
from ..utils import async_include_methods
from ..utils import async_nowait_middleware
logger = structlog.get_logger... |
999,682 | 959aafc23368084c7abb27d183f3699ad1736740 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018/8/2 17:57
# @Author : LiangJiangHao
# @Software: PyCharm
import os
import sys
import requests
from lxml import html
import json
import time
import bs4
from selenium import webdriver
driver=webdriver.Chrome()
f=open('url.txt','a+')
for x in range(1,50):
p... |
999,683 | ee8cb5f01eb461710e1f5cd4ed76621c48c3d204 | import getpass
from netmiko import ConnectHandler
import smtplib
from email.mime.text import MIMEText
uname = raw_input("Enter your username: ")
pswd = getpass.getpass(prompt="Enter your Password: ")
result = []
test
def sendemail(mes):
fromaddr = "TCAMStatus@abc.com"
toaddr = ['Network@abc.com']
message ... |
999,684 | 337eefa85cfe4d2bccfaac4f73de6b336e933ed5 | from pui_tk import Application
from pui_tk.types import Side
from pui_tk.widgets import Label
if __name__ == '__main__':
app = Application('Packing examples')
app.pack(Label(app, text='pack-left'), side=Side.LEFT)
app.pack(Label(app, text='pack-right'), side=Side.RIGHT)
app.pack(Label(app, text='pack-... |
999,685 | 736168a20f252d034df9bc4ee88a7e610779bebc | #!/usr/bin/env python
# coding: utf-8
# In[8]:
#付録14.A
get_ipython().run_line_magic('matplotlib', 'inline')
import matplotlib.pyplot as plt
from datetime import datetime, date
import pandas as pd
import csv
import numpy as np
def readcsv(file_name):
trades=[]
with open(file_name,'r') as f:
series=c... |
999,686 | a66c9149c80063830351addee889d194ec8034ab | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# Loading the raw dataset
rawMovieData = pd.read_excel('2014 and 2015 CSM dataset.xlsx')
# Start cleaning
# ---> Start with missing values
rawMovieData.isnull().sum()
# ---> In 'Budget' only 1 row is NA so we can drop it
rawMovieData.dropna(subse... |
999,687 | 3c8c67ee5eefa44cc0957428adafc90cb63d5eb1 | """
Created on Thu Oct 25 15:54:19 2018
General function script to load from
@author: alexschw
"""
import itertools
import numpy as np
def Gaussian2D(Amp, Shape, Sig):
"""
Computes a 2D gaussian with given amplitude, shape and width (sigma)
"""
Sig = np.array(Sig)
# If one or both of the shape val... |
999,688 | 9e98d65560f6e2a8cc3ecbcf655d236433effb3d | fun main() {
val x = "${String::class.toString()}"
println("${x}.hello")
println("${x.toString()}.hello")
println("${x}hello")
println("${x.length}.hello")
println("$x.hello")
}
|
999,689 | 15c7e2b5bc98c45c069fca2e4a42e174a8f5526c | class Computer:
def __init__(self):
self.on = True
def are_you_on(self):
if self.on:
return 'Yes'
else:
return 'No'
def is_computer_on():
computer = Computer()
return computer.are_you_on()
|
999,690 | 1740fbf4212e6cd9ac45122b7fac25b33305a1d2 | from mpi4py import MPI
import numpy as np
comm = MPI.COMM_WORLD
rank = comm.rank
num_procs = comm.Get_size()
if rank == 0:
num_trials = 2
trial_seed_list = list(zip(range(num_trials),0.03 + 0.04*np.random.rand(num_trials)))
trial_chunk = np.array_split(trial_seed_list, num_procs)
else:
trial_chunk = N... |
999,691 | 2ab983da96fd130e1df8b3405d2596731cc05240 | import socket, ssl
import threading
from connectionHandler import handleConn
useSsl = False
def serverInit(host, port):
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.bind((host, port))
s.listen(5)
return s
def serverLoop():
s = serverInit('', 5777)
while True:
conn, addr ... |
999,692 | f6f120d71abbea56709c0d7e1dada22fd1e5b8c5 | from TournamentResults import *
import random
import time
class Ranking(TournamentResults):
def __init__(self, results, ranking, ks=None):
self.ranking = ranking
self.results = results
if ks:
self.ks = ks
else:
self.ks = self.calculate_ks()
# Calculates... |
999,693 | 02db92d5561cfd0546fde59d90cd0438a52eef26 | from django.apps import AppConfig
class MyblogApiConfig(AppConfig):
name = 'myblog_api'
|
999,694 | 915e8064b13acd9f49ea78ca363b6f007bdb017f | import time
import nomad
# Create a Nomad client
client = nomad.Nomad()
# Create a batch of jobs to submit to Nomad
jobs = [{
"Name": "stress-test-job",
"Type": "batch",
"Datacenters": ["dc1"],
"TaskGroups": [{
"Name": "stress-test-task-group",
"Tasks": [{
"Name": "stress-t... |
999,695 | d0b8a95fce0dd466c7eea507f75746b12bc57fc8 | from setuptools import setup, find_packages
cemba_data_version = '0.1.2'
setup(
name='cemba_data',
version=cemba_data_version,
author='Hanqing Liu',
author_email='hanliu@salk.edu',
packages=find_packages(),
description='A package for processing and analyzing single cell sequencing data.',
... |
999,696 | cc79f47cd1e97eb8522821fade3a6d86369f853a | # DSP functions such as applying noise, RIRs, or data representation conversions
import numpy as np
import pandas as pd
import random as rnd
import librosa as lr
import time
import os
import os.path as osp
import scipy
from libs.colored_noise import powerlaw_psd_gaussian
# generate seed from the time at which this sc... |
999,697 | 83b86ee46f2a03a242b3a72bfaaf742bbc7224aa | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import mean_squared_error, mean_absolute_error
from sklearn.model_selection import RandomizedSearchCV
from sklearn.model_selection import train_test_split
from sklearn.model_selection import cross_val_score, KFold
from sklearn.... |
999,698 | 35caf5c5e07f279a21549105e0fd5485420e8b67 | import sys
(python_ver, _, _, _, _) = sys.version_info
import os
from setuptools import setup, find_packages
name = 'querycontacts'
description = "Query network abuse contacts on the command-line for a given ip address on abuse-contacts.abusix.org"
long_description = description
cur_dir = os.path.abspath(os.path.dirn... |
999,699 | b41d1f9969f42b30a61a7dcfb5c211b716c45ac4 | '''
Vendored version of django-easymoney.
Putting directly in otree-core because PyCharm flags certain usages in yellow,
like:
c(1) + c(1)
Results in: "Currency does not define __add__, so the + operator cannot
be used on its instances"
If "a" is a CurrencyField, then
self.a + c(1)
PyCharm warns: 'Currency ... |
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