seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
538444678 | text_based = ["perspective_score", "identity_attack",
"sentiment",
"Please", "Please_start", "HASHEDGE",
"Indirect_(btw)",
"Hedges",
"Factuality", "Deference", "Gratitude", "Apologizing",
"1st_person_pl.", "1... | null | main/get_feature_set.py | get_feature_set.py | py | 922 | python | en | code | null | code-starcoder2 | 51 |
106691790 | with open('file_sample.txt', 'rb') as f:
lines = [x.strip() for x in f.readlines()]
count = 0
for line in lines:
tmp = line.strip().lower()
words = tmp.replace(b'line',b'Line')
print(words)
for word in words:
if(word == 'line'):
count= count+1
print('Count: '+str(count))
# The ... | null | byte_like_error/bytelikeerror_split.py | bytelikeerror_split.py | py | 550 | python | en | code | null | code-starcoder2 | 51 |
514071216 | #!/usr/bin/env python
import json
from pprint import pprint
from robot_localization.srv import SetPose
from geometry_msgs.msg import PoseWithCovarianceStamped
from mavros_msgs.srv import StreamRate
from std_msgs.msg import Bool
import sys
import rospy
import importlib
class TaskPlanner:
NODE_NAME = 'task_plan... | null | catkin_ws/src/task_planning/scripts/task_planner.py | task_planner.py | py | 3,511 | python | en | code | null | code-starcoder2 | 51 |
625845206 | #!/usr/bin/env python
# ******************************* PLEASE DO NOT MODIFY *******************************
import os
with open('testCases.txt') as fp:
for line in fp:
if not line.isspace():
if line.startswith("TEST CASES FOR"):
parsedLine = line.split()
currF... | null | ucsd-cse30/pa/pa3-jams-master/runTests.py | runTests.py | py | 2,441 | python | en | code | null | code-starcoder2 | 51 |
442610606 | """
Pisano Period
In number theory, the nth Pisano period, written π(n), is the period with which
the sequence of Fibonacci numbers taken modulo n repeats.
https://en.wikipedia.org/wiki/Pisano_period
"""
import tortoise_and_hare2 as th
def fib_seq(n):
"""Returns a fibonacci sequence from 1 to n"""
nums = [0... | null | algorithms/cycle_detection/pisano_period.py | pisano_period.py | py | 762 | python | en | code | null | code-starcoder2 | 51 |
330718015 | import glob
import requests
import json
import ExperimentBoiler
import geoDonorMinimiser
import geoBiosampleMinimiser
import urlparse
import sys
from time import sleep
HEADERS = {'accept': 'application/json'}
GET_HEADERS = {'accept': 'application/json'}
POST_HEADERS = {'accept': 'application/json',
'C... | null | src/report_script.py | report_script.py | py | 4,239 | python | en | code | null | code-starcoder2 | 51 |
125082187 | #! usr/bin/env python3
#encoding: utf-8
import functools
def log(text=None):
def decorator(func):
@functools.wraps(func)
def wrapper(*args,**kw):
if isinstance(text,str):
print('%s %s()'%(text,func.__name__))
_func=func(*args,**kw)
else:
... | null | decorator.py | decorator.py | py | 627 | python | en | code | null | code-starcoder2 | 51 |
564388264 | from pytorch_metric_learning import losses, miners, trainers
import numpy as np
import pandas as pd
from torchvision import datasets, models, transforms
import torch.nn as nn
import torch.optim
import logging
from torch.utils.data import Dataset
from PIL import Image
from cub2011 import Cub2011
from mobilenet... | null | example_MetricLossOnly.py | example_MetricLossOnly.py | py | 12,910 | python | en | code | null | code-starcoder2 | 51 |
458758221 | # -*- coding: utf-8 -*-
# pylint: disable=missing-docstring,too-many-public-methods,invalid-name,protected-access,no-self-use
"""
ListView pagination tests.
"""
import math
from common.peewee_model import SystemPlatform
from manager.base import InvalidArgumentException
from manager.list_view import ListView
from .vul... | null | tests/manager_tests/test_links.py | test_links.py | py | 8,667 | python | en | code | null | code-starcoder2 | 51 |
318137463 | """This module implements a two-stage HMAX-like model.
This module implements a multi-scale analysis by applying single-scale Gabors to
a scale pyramid of the input image. This is similar to the configuration used by
Mutch & Lowe (2008).
"""
# Copyright (c) 2011 Mick Thomure
# All rights reserved.
#
# Please see the... | null | glimpse/models/ml/model.py | model.py | py | 4,757 | python | en | code | null | code-starcoder2 | 51 |
63604089 | from common import *
import autograd.numpy as np
import matplotlib.pyplot as plt
import autograd.numpy.random as rng
from autograd.numpy.random import multivariate_normal as rmvn
from autograd.numpy.linalg import cholesky, solve
from autograd.scipy.linalg import cholesky as chol
from autograd.scipy.linalg import solve_... | null | exp/circgp/gpexact.py | gpexact.py | py | 3,065 | python | en | code | null | code-starcoder2 | 51 |
529240850 | import sys
sys.path.append('C:\E\mysoft\python-workSpace\pythons\test-dash2')
import pandas as pd
import pymysql
from sshtunnel import SSHTunnelForwarder
from sqlalchemy import create_engine
from pyecharts.charts import Bar
from example.commons import Faker
from pyecharts import options as opts
from pyecharts.charts im... | null | manager/pyecharts_results.py | pyecharts_results.py | py | 12,969 | python | en | code | null | code-starcoder2 | 51 |
96202310 | import json
import pickle
from argparse import ArgumentParser
from pathlib import Path
from typing import Dict, Tuple
import pandas as pd
import numpy as np
from pandas import DataFrame
from sklearn.ensemble import GradientBoostingRegressor
from sklearn.metrics import mean_squared_error
def rmse(a, b):
return np.... | null | code/src/evaluate.py | evaluate.py | py | 3,225 | python | en | code | null | code-starcoder2 | 51 |
323630674 | import collections
from typing import Deque
import re #정규표현식 불러오기
class Solution:
def isPalindrome(self, s: str) -> bool:
strs = []
for char in s:
if char.isalnum(): # isalnum(): 영문자, 숫자 여부 판별하여 False, True 변환
strs.append(char.lower()) # 모든 문자 소문자 변환하여 str에 입력
... | null | python_algorithm/python_algorithm_06/Array/isPalindrome.py | isPalindrome.py | py | 1,593 | python | en | code | null | code-starcoder2 | 51 |
139529264 | from ..models import Measurement
def get_measurements():
queryset = Measurement.objects.all().order_by('-dateTime')[:10]
return (queryset)
def create_measurement(form):
measurement = form.save()
measurement.save()
return ()
def create_measurement_object(variable_id, value, unit, place):
measu... | null | measurements/logic/logic_measurements.py | logic_measurements.py | py | 506 | python | en | code | null | code-starcoder2 | 51 |
581952654 | #!/usr/bin/python3
import sys # stdout enumerate
from itertools import * # chain from_iterable product
from math import * # sqrt floor ceil gcd
from copy import copy, deepcopy
from collections import * # Counter defaultdict deque
from queue import Queue
from heapq import heappush, heappop, heapify
from operator impor... | null | algorithms/greedy/fighting_pits.py | fighting_pits.py | py | 2,013 | python | en | code | null | code-starcoder2 | 51 |
290709786 | # coding: utf-8
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License.
"""
This module provides classes to interface with the Crystallography Open
Database. If you use data from the COD, please cite the following works (as
stipulated by the COD developers)::
Merkys, A., Vaitk... | null | pymatgen/ext/cod.py | cod.py | py | 5,029 | python | en | code | null | code-starcoder2 | 51 |
86064595 | # coding=UTF-8
#%matplotlib inline
import visa
import time
import datetime
import numpy as np
N=50
ppsvalue=np.array([5.50, 5.00, 4.5, 3.60, 3.30, 3.00, 2.70, 2.20])
rm = visa.ResourceManager()
pps=rm.open_resource('GPIB0::6::INSTR')
cnter= rm.open_resource('GPIB0::3::INSTR')
print(pps.query('*MODEL?'))
print(cnter.q... | null | array_test.py | array_test.py | py | 1,009 | python | en | code | null | code-starcoder2 | 51 |
511044401 | import datetime
import matplotlib.pyplot as plt
data = []
x = []
y = []
with open('forplot') as file:
for i in file.readlines():
splitted = i.split()
datestr = splitted[0]+' '+splitted[1]
date = datetime.datetime.strptime(datestr, '%Y-%m-%d %H:%M:%S.%f') # 2020-02-25 12:29:46.040
dat... | null | lab2/plot.py | plot.py | py | 717 | python | en | code | null | code-starcoder2 | 51 |
355372996 | # -*- coding: utf-8 -*-
import pandas as pd
data = pd.read_csv('../Dataset/datalog.csv')
col_list = ['학점', '토익', '토스', 'OPIC', '외국어', '해외경험', '인턴', '수상경력']
# ["Index","학점", "토익", "토스", "OPIC", "외국어", "자격증", "해외경험", "인턴", "수상경력","봉사","합격여부"]
# Index,학점,토익,토스,OPIC,외국어,자격증,해외경험,인턴,수상경력,봉사,합격여부
# index,grades,toeic,... | null | Pretreatment/pretreatment.py | pretreatment.py | py | 2,581 | python | en | code | null | code-starcoder2 | 51 |
204443424 | import re
import json
import glob
for filpath in glob.glob('LTETrace************'):
with open(filpath, 'r') as ltefile:
ignore = {'Zeit', '>>>>>>>>>>>>>>>>>>>>>>>>', '!GSTATUS: ', '!LTEINFO:', '--', '2017'}
onestring = {'EMM', 'RRC', 'IMS', 'SINR', 'InterFreq', 'LTE CA state', 'GSM', 'WCDMA', 'CDM... | null | LTE_converter.py | LTE_converter.py | py | 3,809 | python | en | code | null | code-starcoder2 | 51 |
571468285 | from starlette.routing import Router, Route
from starlette.requests import Request
from starlette.authentication import requires
from omo.views import template_env, template
from omo.db import database
from omo.middlewares import COOKIES_SESSION_TOKEN_KEY
@requires('authenticated', redirect='login')
async def my_acco... | null | omo/routes/accounts.py | accounts.py | py | 1,263 | python | en | code | null | code-starcoder2 | 51 |
277593907 | #Code to run a quantum random number generator on a real quantum device.
from qiskit import QuantumCircuit, IBMQ, execute
#Authenticate an account and add for use during this session.
IBMQ.enable_account("YOUR_API_TOKEN")
provider = IBMQ.get_provider(hub='ibm-q')
#Initialize the number of qubits and classical registe... | null | quantum_coins.py | quantum_coins.py | py | 726 | python | en | code | null | code-starcoder2 | 51 |
382494602 | from typing import Any, Dict, Iterable, cast
from openslides_backend.action.actions.meeting.shared_meeting import (
meeting_projector_default_replacements,
)
from tests.system.action.base import BaseActionTestCase
class MeetingCreateActionTest(BaseActionTestCase):
def basic_test(self, datapart: Dict[str, Any... | null | tests/system/action/meeting/test_create.py | test_create.py | py | 6,420 | python | en | code | null | code-starcoder2 | 51 |
253042468 | from flask import Flask, request, abort
from linebot import (LineBotApi, WebhookHandler)
from linebot.exceptions import (InvalidSignatureError)
from linebot.models import *
from engine.currencySearch import currencySearch
from engine.AQI import AQImonitor
from engine.gamma import gammamonitor
from engine.OWM import O... | null | app.py | app.py | py | 9,282 | python | en | code | null | code-starcoder2 | 51 |
262289428 | # import libraries
import urllib.request
from bs4 import BeautifulSoup
from selenium import webdriver
import json
from pymongo import MongoClient
import sys
import time
sys.stdout = open('file', 'w', encoding="utf-8")
url = "https://www.nike.com/w/new-shoes-3n82yzy7ok"
# run firefox webdriver from executable path of ... | null | scraper.py | scraper.py | py | 2,187 | python | en | code | null | code-starcoder2 | 51 |
334827427 | import urllib3, json, requests, keyboards
from setting import bot_token, chat_id_service, rest_link_product, rest_link_store, rest_link_stock
import telebot
from telebot import types
import barcode
import time, datetime, schedule
from configparser import ConfigParser
import os
from os import path
from mysql.connector i... | null | main.py | main.py | py | 33,479 | python | en | code | null | code-starcoder2 | 51 |
122696024 | """
Project 1 - Degree distributions for graphs
Part of Algorithmic Thinking (Part 1) on Coursera (coursera.org)
"""
EX_GRAPH0 = {
0: set([1, 2]),
1: set([]),
2: set([])
}
EX_GRAPH1 = {
0: set([1, 4, 5]),
1: set([2, 6]),
2: set([3]),
3: set([0]),
4: set([1]),
5: set([2]),
6: set... | null | problems/coursera/1-graph_degree/graph_degree.py | graph_degree.py | py | 2,148 | python | en | code | null | code-starcoder2 | 51 |
55379322 | # coding: utf-8
import requests
import polling
import asyncio
import logging
from aiohttp import ClientSession
from time import sleep
class ShutterManager:
def __init__(self, address):
self.address = address
self.logger = logging.getLogger('blebox.ShutterManager')
def __repr__(self):
... | null | blebox/shutter.py | shutter.py | py | 1,955 | python | en | code | null | code-starcoder2 | 51 |
312064231 | from keras.preprocessing.image import ImageDataGenerator, array_to_img, img_to_array, load_img
from keras import backend as keras
import numpy as np
import os
import glob
import cv2
def merge_and_save():
imgtype = "jpg"
train = glob.glob("results/*."+imgtype)
for i in range(len(train)):
if i is not 54 and i is n... | null | first/merge_imgs.py | merge_imgs.py | py | 1,806 | python | en | code | null | code-starcoder2 | 51 |
430322468 | import SimpleITK as sitk
import numpy as np
from scipy.spatial.transform import Rotation as R
from dltk.io.preprocessing import whitening
"""
img: simpleitk input image
angle: radian angle to rotate around the z axis
size: voxel size for resampled data
"""
def rotate_image(img, angle, size=[64, 64, 64], is_label=Fal... | null | preprocess.py | preprocess.py | py | 6,419 | python | en | code | null | code-starcoder2 | 50 |
439960465 | #### My Solution Using Hashtable ####
class FindElements:
def __init__(self, root: TreeNode):
self.hash_table = dict()
self.decontaminate(root, 0)
def decontaminate(self, root, value):
if root == None:
return
else:
root.val = value
sel... | null | 1261_Find_Elements_in_a_Contaminated_Binary_Tree.py | 1261_Find_Elements_in_a_Contaminated_Binary_Tree.py | py | 760 | python | en | code | null | code-starcoder2 | 50 |
328176617 | # test for convolution
from conv import *
import time
if 'DEF_CONV' not in globals():
from transfer.conv import *
def test_matrix():
x = np.array([[0.09, 0.0, 0.5], [0.2, 0.3, 0.08]])
m1 = Matrix(x)
print(m1)
x = np.array([[-0.09, 0.3, 0.07], [0.03, -0.3, 0.1]])
m2 = Matrix(x)
print(m2)
... | null | transfer/t_conv.py | t_conv.py | py | 885 | python | en | code | null | code-starcoder2 | 50 |
316273474 | """
given a string, return longest palindrome of the string assuming you can reorder all the letters
"""
def longest_palindrome(s):
letter_count = {}
for char in s:
letter_count[char] = 1 if char not in letter_count else letter_count[char] + 1
multiple = []
single = []
for char, count in let... | null | google/longest_palindrome.py | longest_palindrome.py | py | 652 | python | en | code | null | code-starcoder2 | 50 |
139188028 | import sys
import socket
def packet_capture_socket():
# the public network interface
HOST = socket.gethostbyname(socket.gethostname())
# sniff traffic through all ports
PORT = 0
# create a new socket instance, requires administrator privileges
s = socket.socket(socket.AF_INET, socket.SOC... | null | data-scripts/network_sniffer.py | network_sniffer.py | py | 847 | python | en | code | null | code-starcoder2 | 51 |
107860284 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri May 10 01:15:02 2019
@author: chaztikov
"""
import os;import numpy as np;import pandas as pd
import os,sys,re,subprocess
import pandas as pd
import numpy as np
import scipy
import scipy.integrate
from scipy.spatial import KDTree
from scipy.interpolate ... | null | leaflet_flutter_data/ex1/aorta_data.py | aorta_data.py | py | 11,467 | python | en | code | null | code-starcoder2 | 51 |
85595004 | import csv
import statistics
import math_functions.stock_functions as stock_functions
import math_functions.math_functions as math_functions
file_path = 'D:/finance_data/data_test.csv'
data = []
daily_returns = []
first_row = True
with open(file_path, newline='') as csvfile:
spamreader = csv.reader(csvfile, de... | null | Generic_Finance_Predictor_OLD/learning_tutorials_and_testing/computational_investing/data_manipulation_demo.py | data_manipulation_demo.py | py | 1,468 | python | en | code | null | code-starcoder2 | 51 |
113401861 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, unicode_literals, print_function
#A HistoryGraph Immutable Object
import uuid
from .changetype import *
from . import fields
from operator import itemgetter
import hashlib
import six
class ImmutableObject(object):
is_singleton = False
def __ini... | null | historygraph/immutableobject.py | immutableobject.py | py | 2,190 | python | en | code | null | code-starcoder2 | 51 |
18697883473 |
cost = []
items = []
all_items = []
total = int
total = 0
numitems = int(input('Enter the number of items you will be calculating'))
for i in range(0, numitems, 1):
items.append(i)
items[i] = int(input('please enter how much each item is (from start to finish)'))
total = items[i] + total
print(items)... | johnbuttigieg/Code | Week 3 Workshop/shippingCalc.py | shippingCalc.py | py | 486 | python | en | code | 0 | github-code | 13 |
74272001937 | # Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
# useful for handling different item types with a single interface
from itemadapter import ItemAdapter
from datetime import datetime
from wikiSpider.... | danyow-cheung/data-analysis-etc | Python网络爬虫权威指南/wikiSpider/wikiSpider/pipelines.py | pipelines.py | py | 1,260 | python | en | code | 0 | github-code | 13 |
21599376655 | from PyQt4 import QtGui
from PyQt4 import QtOpenGL
from PyQt4 import QtCore
import numpy as np
from OpenGL.GL import *
import mathutils as mth
import time
from OpenGL.GL import *
from OpenGL.GLU import *
from OpenGL.GLUT import *
import CNST.techs as techs
import CNST.clGEOOBJ as clGEOOBJ
from CNST.draw import getmv ... | bakeryproducts/ConstructorM4 | glwidget.py | glwidget.py | py | 23,768 | python | en | code | 2 | github-code | 13 |
32417429548 | # -*- coding: utf-8 -*-
"""
Created on Mon Dec 18 13:09:36 2017
@author: Ryan McMahon
"""
import pickle
import re
import pandas as pd
from utils import fightinwords
#########################
### 0) LEMMAS
#########################
# 0.0a) Read in lemma DTM build
with open("D:/cong_text/robust/DTMs/unilem_dtmbuild... | rymc9384/PartyOfSpeech | 06-robustness/01-unigrams/03-partisan_unigram_lemmas.py | 03-partisan_unigram_lemmas.py | py | 1,985 | python | en | code | 0 | github-code | 13 |
69796288018 | import numpy as np
from scipy.integrate import odeint
import matplotlib.pyplot as plt
# copy number
c = 0
# cooperativity of repressor binding
n = 1.0
# transcription rates
amRcas9 = 1.0
asgRNA = 1.0
aGmax = 1.0
aGmin = 0.0001
# degradation rates
ysgRNA = 0.1
ymRcas9 = 0.2
ycas9 = 0.2
yR = 0.1
ymRG = 0.2
yG = 0.2
# tr... | igem-thessaloniki/model | CAS9/model.py | model.py | py | 1,755 | python | en | code | 0 | github-code | 13 |
20296192704 | """
desitarget.cmx.cmx_targetmask
=============================
This looks more like a script than an actual module.
"""
from desiutil.bitmask import BitMask
from desitarget.targetmask import load_mask_bits
_bitdefs = load_mask_bits("cmx")
try:
cmx_mask = BitMask('cmx_mask', _bitdefs)
cmx_obsmask = BitMask('c... | desihub/desitarget | py/desitarget/cmx/cmx_targetmask.py | cmx_targetmask.py | py | 412 | python | en | code | 17 | github-code | 13 |
74638339536 | # Quick sort - Hoare partition scheme
# 피벗은 가장 첫 번째 값으로 설정한다.
def quick_sort(array, start, end):
# 원소가 1개인 경우 이미 정렬된 상태이다.
if start >= end:
return
pivot = start
left = start + 1
right = end
while left <= right:
# 피벗보다 큰 데이터가 나오기 전까지 반복
while left <= end and array... | codehikerstudy/interview-question | MrKeeplearning/algorithm/src/quick_sort_hoare.py | quick_sort_hoare.py | py | 1,243 | python | ko | code | 0 | github-code | 13 |
327182231 | import pybio
import os
import sys
import pickle
cache_data = {}
def cache_string(string):
if cache_data.get(string, None)==None:
cache_data[string] = string
return string
else:
return cache_data[string]
class Gtf():
def __init__(self, filename):
self.genes = {}
sel... | grexor/pybio | pybio/data/Gtf.py | Gtf.py | py | 2,777 | python | en | code | 7 | github-code | 13 |
22929309866 | #from dataclasses import dataclass
from typing import List
#@dataclass
#class year:# Klasse zum Speichern von Daten eines Jahres.
# year:int
# months:List[float]
class year:
year:int
months:List[float]
def __init__(self, year, months):
self.year = year
self.months = months
#@data... | CSideStep/climate_project_school | read_data.py | read_data.py | py | 6,432 | python | en | code | 0 | github-code | 13 |
34895565229 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Jul 7 19:46:02 2019
@author: yaoweili
"""
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.collections as mcoll
import tensorflow as tf
'''
This file contains functions as follow:
| functions | Usage ... | geekleahhh/1-D-DeconvNet-for-ECG-signals | functions.py | functions.py | py | 3,025 | python | en | code | 0 | github-code | 13 |
16987987668 | class Solution:
def topKFrequent(self, words, k):
"""
:type words: List[str]
:type k: int
:rtype: List[str]
"""
wordCount = {}
for word in words:
if word not in wordCount:
wordCount[word] = 0
wordCount[word] += 1
... | HzCeee/Algorithms | LeetCode/heap/692_TopKFrequentWords.py | 692_TopKFrequentWords.py | py | 607 | python | en | code | 0 | github-code | 13 |
8114603022 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""a converter from AI0 feature to AJ1 feature"""
# The implementation is very incomplete and very very ugly.
import sys, re
from collections import namedtuple
from enum import Enum
class GsubFragmentType(Enum):
UNKNOWN = 0
CID = 1
FROMBY = 2
OTHE... | derwind/fontUtils | ai0_to_aj1/mk_features.py | mk_features.py | py | 18,230 | python | en | code | 1 | github-code | 13 |
41264713114 | class Solution:
def arrayStringsAreEqual(self, word1: List[str], word2: List[str]) -> bool:
n, m = len(word1), len(word2)
word1Pointer, word2Pointer = 0, 0
string1Pointer, string2Pointer = 0, 0
while word1Pointer < n and word2Pointer < m:
if... | AshwinRachha/LeetCode-Solutions | 1662-check-if-two-string-arrays-are-equivalent/1662-check-if-two-string-arrays-are-equivalent.py | 1662-check-if-two-string-arrays-are-equivalent.py | py | 862 | python | en | code | 0 | github-code | 13 |
7579147660 | import boto3
import time
glue = boto3.client('glue')
table_name = 'my_table'
job_name = f'job_for_{table_name}'
print(f"Starting Glue job: {job_name}")
glue.start_job_run(JobName=job_name)
status = 'STARTING'
while status in ['STARTING', 'RUNNING']:
time.sleep(10)
response = glue.get_job_run(JobName=job_... | abhi1094/cdk-sample-projects | start_glue_job.py | start_glue_job.py | py | 567 | python | en | code | 0 | github-code | 13 |
28824711366 | #Load dataset
from sklearn import datasets
iris = datasets.load_iris()
print(iris['feature_names'])
print(iris['target_names'])
print(iris['data'][0])
print(iris['target'][0])
#split data into train and test data
#currently taking only 3 records for testing one for each
# flower type located at 0, 50 and 100 line in ... | mansikataria/MachineLearning | Classification/IrisClassificationUsingDecisionTreeScikitLearn.py | IrisClassificationUsingDecisionTreeScikitLearn.py | py | 786 | python | en | code | 1 | github-code | 13 |
73662990736 | import xgboost as xgb
import numpy as np
from ConfigSpace.configuration_space import ConfigurationSpace
from ConfigSpace.hyperparameters import UniformFloatHyperparameter, \
UniformIntegerHyperparameter, CategoricalHyperparameter
from alphaml.utils.constants import *
from alphaml.engine.components.models.base_model... | dingdian110/alpha-ml | alphaml/engine/components/models/regression/xgboost.py | xgboost.py | py | 4,152 | python | en | code | 1 | github-code | 13 |
41224922726 | import torch
import os
from utils.utilGeneral import *
import random
def my_is_NAN(input_list: list):
for ts in input_list:
a = torch.max(ts).item()
if np.isnan(a):
return True
b = torch.min(ts).item()
if np.isnan(b):
return True
return Fal... | xxin1984/x-parser | utils/utilTorch.py | utilTorch.py | py | 5,051 | python | en | code | 4 | github-code | 13 |
20349643090 | import logging
import sys
import asyncio
from kademlia.Node import Node
# This script is used to launch non-interactive nodes. They can only
# bootstrap, and can't be issued commands. They are created by the
# simulation.sh script to help analyze network behaviour
def prompt():
print("'set <key (str)> <value (... | rowan-maclachlan/cmpt-434-proj | kad.py | kad.py | py | 4,039 | python | en | code | 0 | github-code | 13 |
73151538256 | #!/usr/bin/env python
"""Create a csv matrix of distances between shapefile geometry objects.
Requirements: fiona, shapely
Written by: Taylor Denouden
Date: November 25, 2015
"""
from __future__ import print_function
import sys
import fiona
from shapely.geometry import shape
from multiprocessing import Pool, cpu_cou... | tayden/Island_MST | shp_to_csv_distances.py | shp_to_csv_distances.py | py | 2,530 | python | en | code | 0 | github-code | 13 |
41182052000 | import numpy as np
import theano
import os
from dml import *
from dml.knearest import *
import common
from common import *
import random
DIR_SPECIES = 'datas/fishes_species'
classFolders = [dirName for dirName, e, files in os.walk(DIR_SPECIES) if len(dirName) > 2 + len(DIR_SPECIES)]
IMG_SHAPE = (50, 50)
IMG_COLOR_SHA... | webalorn/TIPE | code/nnets/fishesClass/manyClassSiamese.py | manyClassSiamese.py | py | 3,158 | python | en | code | 1 | github-code | 13 |
41113879331 | #
# tokenize a file with spacy tokenizer -> so that we don't have to do it on the fly
# -------------------------------
#
# usage:
# python matchmaker/preprocessing/tokenize_files.py --in-file <path> --out-file <path> --reader-type <labeled_tuple or triple>
import argparse
import os
import sys
sys.path.append(os.getcw... | sebastian-hofstaetter/sigir19-neural-ir | matchmaker/preprocessing/tokenize_files.py | tokenize_files.py | py | 3,115 | python | en | code | 45 | github-code | 13 |
24661551694 | # import get_string from cs50 library
from cs50 import get_string
# define main function
def main():
# ask user for a text
text = get_string("Text: ")
# create a dict with measures and initial values
results = {"letter_count": 0, "word_count": 1, "sentence_count": 0}
# count letters, words and se... | juliankohr/CS50x | 07_week_06_python/07_sentimental-readability/readability.py | readability.py | py | 1,565 | python | en | code | 0 | github-code | 13 |
28765808434 | d = {}
for i in range(int(input())):
s = input().split()
for i in s:
if i not in d: d[i] = 1
else: d[i] += 1
sort_d = {k: v for k, v in sorted(d.items(), key=lambda item: item[1], reverse=True)}
max = 0
second = 0
for k, v in sort_d.items():
max = v
break
for k, v in sort_d.items():
... | CuongNguyen291201/py | frequentword.py | frequentword.py | py | 440 | python | en | code | 0 | github-code | 13 |
20411004489 | #!/usr/bin/env python3
import csv
import glob
import os
import re
_filename_re = re.compile(r'log_([0-9]+)x([0-9]+)_f([0-9]+)_replay([0-9]+)_r([0-9]+)_0[.]log')
def parse_basename(filename):
match = re.match(_filename_re, filename)
assert match is not None
return match.groups()
_replay_re = re.compile(r'... | StanfordLegion/resilience | experiment/parse_replay.py | parse_replay.py | py | 1,254 | python | en | code | 0 | github-code | 13 |
32688005882 | import botocore
def new_boto_exception(exception_constructor):
"""
Get a new boto3 exception of the specified type with a mock exception message.
The mock exception message will look like this:
>>> 'An error occurred (MockError) when calling the MockOperation operation: mock message'
Example... | aws/aws-gamekit-unreal | AwsGameKit/Resources/cloudResources/functionsTests/helpers/boto3/mock_responses/exceptions.py | exceptions.py | py | 1,369 | python | en | code | 68 | github-code | 13 |
31732074040 | __author__ = 'Indra Gunawan'
from ladon.compat import PORTABLE_STRING
from ladon.ladonizer import ladonize
import math
import re
import collections
from ladon.types.ladontype import LadonType
temp3 = []
tempc = []
tempoftemp = []
tempoftimec = []
hit = 0
flag = 0
nama_server = "DWI_SERVER"
class LogCron(object):... | ardinusawan/Sistem_Terdistribusi | Web-Service/SOAP/serverLadon.py | serverLadon.py | py | 3,365 | python | en | code | 0 | github-code | 13 |
72123485457 | # Date : 2016.08.05
# Author : yqtao
# https://github.com/yqtaowhu
class Solution:
def strStr(self, source, target):
if source is None or target is None:
return -1
for i in range(len(source) - len(target) + 1):
for j in range(len(target)):
if source[i + j... | yqtaowhu/programming | leetcode/implementStrStr/implementStrStr.py | implementStrStr.py | py | 422 | python | en | code | 2 | github-code | 13 |
20971471376 | import numpy as np
import biosppy.signals as bsig
DEVICE_SAMPLING_RATE = {'muse': 256, # is this right? is it 220 Hz (see documentation)?
}
def get_channels(signal, channels, device='muse'):
"""
Returns a signal with only the desired channels.
Arguments:
signal: a sign... | lukasbauer3091/alpha-light | streamStaffCode/classification_tools.py | classification_tools.py | py | 3,448 | python | en | code | 1 | github-code | 13 |
35654419418 | import cv2
from banknote import note_colors
from standalone.homography import find_match
image_final = None
notes_list = []
current_note = None
sift = cv2.xfeatures2d.SIFT_create()
def compute_homography(image, template_path, callback, debug=False):
points_list = []
#img_final = cv2.imread(image_path, 1) # ... | Blondwolf/NoteCounterCHF | src/aborted/standalone/video.py | video.py | py | 2,252 | python | en | code | 0 | github-code | 13 |
8105742062 | # Background Subtraction has several use cases in everyday life,
# It is being used for object segmentation, security enhancement,
# tracking, counting the number of visitors, number of vehicles in traffic etc.
# It is able to learn and identify the foreground mask.
# The popular Background subtraction algorithms a... | tanmaysgs/OpenCVPractice | 15.backgroundSubtraction.py | 15.backgroundSubtraction.py | py | 1,131 | python | en | code | 0 | github-code | 13 |
27213148412 | '''
创建一个有10个数字的列表，先输出此列表，然后输出其中的偶数元素
'''
import random
List=[random.randint(1,50) for i in range(20)]
print(List)
for i in List:
if(i%2==0):
print(i,end=' ') | xiao-ying19/zzh | exe/exe_1.11/if_else.py | if_else.py | py | 230 | python | zh | code | 0 | github-code | 13 |
27995863179 | from datetime import date
import json
from flask_jwt_extended import get_jwt_identity
from models.transaction import Transaction
from dao import account_dao
from dao import budget_dao
from flask import Blueprint, jsonify, request
from flask_jwt_extended import jwt_required
account_blueprint = Blueprint('account', __na... | mason-wolf/penny-budget | api/account.py | account.py | py | 4,061 | python | en | code | 0 | github-code | 13 |
17042879894 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.VcpUniqueInfo import VcpUniqueInfo
class AlipayMarketingVoucherBatchqueryModel(object):
def __init__(self):
self._biz_codes = None
self._create_end_time = Non... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/AlipayMarketingVoucherBatchqueryModel.py | AlipayMarketingVoucherBatchqueryModel.py | py | 9,627 | python | en | code | 241 | github-code | 13 |
72922352977 | from rest_framework.serializers import ModelSerializer, HyperlinkedIdentityField, SerializerMethodField, ImageField
from shops.models import Shop, create_slug
from comments.serializers import CommentSerializer
from comments.models import Comment
from products.serializers import ProductSerializer
from products.models... | mskw23/shopsapi | shops/serializers.py | serializers.py | py | 4,586 | python | en | code | 0 | github-code | 13 |
10722506816 | import sys
from os import path, makedirs
from shutil import rmtree
from charmhelpers.core import hookenv
from hashlib import sha256
from shell import shell
from nginxlib import get_app_path
def download_archive():
"""
"""
# Get the nginx vhost application path
app_path = get_app_path()
config = ... | adam-stokes/juju-charm-wordpress-hhvm | lib/wordpresslib.py | wordpresslib.py | py | 1,182 | python | en | code | 0 | github-code | 13 |
71446779217 | import speech_recognition as sr
import moviepy.editor as mp
from pathlib import Path
import os
def google_transfer(wavFilePath):
try:
r = sr.Recognizer()
audio = sr.AudioFile(wavFilePath+'.wav')
with audio as source:
audio_file = r.record(source)
result = r.recognize_goo... | davidyuan666/CaseAudioParser | speechRecongize.py | speechRecongize.py | py | 1,327 | python | en | code | 0 | github-code | 13 |
25943030030 | from Individuo import *
import numpy as np
import math
import random
class IndividuoReal(Individuo):
def __init__(self, tam, minB, maxB, fitFunc, funcResultado):
self.min_bound = minB
self.max_bound = maxB
self.cod = "REAL"
self.cromossomo = self.init_cromossomo(tam)
self.f... | mbalatka/OCEV | IndividuoReal.py | IndividuoReal.py | py | 6,807 | python | pt | code | 0 | github-code | 13 |
9373485455 | from __future__ import annotations
from ipaddress import IPv4Address, IPv4Network
from cloudshell.cp.core.cancellation_manager import CancellationContextManager
from cloudshell.cp.core.rollback import RollbackCommand, RollbackCommandsManager
from cloudshell.cp.core.utils.name_generator import NameGenerator
from clou... | QualiSystems/cloudshell-cp-openstack | cloudshell/cp/openstack/os_api/commands/create_instance.py | create_instance.py | py | 3,442 | python | en | code | 0 | github-code | 13 |
73120112017 | qnt = 0
lista = list()
while True:
num = int(input('digite um número: '))
while num not in lista:
lista.append(num)
qnt += 1
escolha = str(input('deseja continuar?[S/N] ')).upper()
if escolha == 'N':
break
print('você digitou {} elementos'.format(qnt))
lista.sort(reverse=True)
pr... | henrique340/pythonProject4 | desafio 81.py | desafio 81.py | py | 497 | python | pt | code | 0 | github-code | 13 |
4937465551 | from itertools import combinations
import random
jugadores = ["Dani", "David", "Enano", "Cocinera", "Alexis", "Gafas", "Mauricio", "Jaimito"]
# Variables para almacenar los partidos y las posiciones
partidos = []
posiciones = {jugador: {"Puntos": 0, "PG": 0, "PE": 0, "PP": 0, "GF": 0, "GC": 0} for jugador in jugadore... | mauricioatm20/Python | resultados y clasificacion.py | resultados y clasificacion.py | py | 3,178 | python | es | code | 0 | github-code | 13 |
21263758894 | from flask import Flask, request, redirect, render_template, session, flash
from mysqlconnection import MySQLConnector
import re
app = Flask(__name__)
mysql = MySQLConnector(app,'mydb')
app.secret_key = 'Brandon'
@app.route('/')
def index():
if not 'email' in session:
session['email']=''
if not 'valid'... | bwal91/Brandon | Python(completed)/myEnvironments/flask_mysql/Email/server.py | server.py | py | 975 | python | en | code | 0 | github-code | 13 |
15219767172 | #!/usr/bin/python
import random
import string
def main():
# create a string to hold lower case alphabet
letters = string.ascii_lowercase
# create file objects to manipulate opened/created files
f1 = open("file1.txt", "w")
f2 = open("file2.txt", "w")
f3 = open("file3.txt", "w")
# put file obje... | solorzao/CS344-Operating-Systems | ProgramPy-PythonExploration/mypython.py | mypython.py | py | 1,675 | python | en | code | 0 | github-code | 13 |
18129373492 | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 4 17:11:49 2019
@author: HP
"""
import re
_KEYWORDS = ["class", "method", "function", "constructor", "int", "boolean",
"char", "void", "var", "static", "field", "let", "do", "if",
"else", "while", "return", "true", "false", "null", ... | naveenls/nand2tetris | Tokenizer.py | Tokenizer.py | py | 3,219 | python | en | code | 0 | github-code | 13 |
17041298174 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipayFundTransCollectSinglemoneytokenCreateModel(object):
def __init__(self):
self._biz_context = None
self._collect_mode = None
self._expire_date = None
self._ex... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/AlipayFundTransCollectSinglemoneytokenCreateModel.py | AlipayFundTransCollectSinglemoneytokenCreateModel.py | py | 5,476 | python | en | code | 241 | github-code | 13 |
41807350765 | print("this file is deprecated")
exit
import argparse as parse
import numpy as np
import plotly.graph_objects as go
import os
import permittivitycalc as pc
import src.plot_layout as plot_layout
import src.agent as agent
import scipy.signal as signal
import datetime
time=datetime.datetime.now().strftime('%Y-%m-%d-%H-%... | zueskalare/panglin_prj | .trash/outpt.py | outpt.py | py | 2,557 | python | en | code | 0 | github-code | 13 |
31740719595 | # -*- coding: utf-8 -*-
# @Time : 2023/9/26 16:19
# @Author : nanji
# @Site :
# @File : testHandWriteDigit.py
# @Software: PyCharm
# @Comment :3. 性能度量——逻辑回归+手写数字分类手写数字分类
from sklearn import datasets
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split
digit... | lixixi89055465/py_stu | machinelearn/stu02/testHandWriteDigit.py | testHandWriteDigit.py | py | 3,754 | python | en | code | 1 | github-code | 13 |
25497964151 | from fastapi import APIRouter, Depends, HTTPException
from api.dependencies import (
get_sys_map_service,
get_sys_map_update_service,
get_audit_log_service,
)
from schemas.system_mapping_schema import SystemMappingCurrent, SystemMappingUpdates
from api.requests import system_mapping_requests
from services.s... | gerald-eai/product-config-poc | pcp-poc-app/server/src/api/router/system_mapping_endpoints.py | system_mapping_endpoints.py | py | 5,917 | python | en | code | 0 | github-code | 13 |
14585319910 | from json import dumps
from kafka import KafkaProducer
import sys
import re
import csv
import sys
if len(sys.argv)>1:
day = sys.argv[1]
day = day[-8:-4] + '-' + day[-14:-9] + 'T00:00:00'
else:
day = None
if len(sys.argv)>2:
bserver = sys.argv[2]
else:
bserver = "localhost:9092"
if len(sys.argv)... | knguyen93/cs523 | python/kafka/pycode/sendkafka.py | sendkafka.py | py | 2,385 | python | en | code | 0 | github-code | 13 |
28904001718 | # coding:utf-8
import matplotlib.pyplot as plt
from wordcloud import WordCloud
from bs4 import BeautifulSoup
import requests
import MeCab as mc
import os
def mecab_analysis(text):
t = mc.Tagger("-Ochasen -d /usr/local/lib/mecab/dic/mecab-ipadic-neologd/")
t.parse('')
node = t.parseToNode(text)
output... | pauwau/workspace | Environment_BD/Senseless/2channel/badword/makeWordCloud.py | makeWordCloud.py | py | 2,025 | python | en | code | 0 | github-code | 13 |
9118852652 | from django.urls import path
from django.views.generic import TemplateView
from rest_framework.documentation import include_docs_urls
from rest_framework import routers
from . import views
app_name = 'web'
urlpatterns = [
path('', views.home, name='home'),
path('', views.ReactView.as_view(), name='react_objec... | hittapa63/django-finance-dwolla-plain | apps/web/urls.py | urls.py | py | 1,225 | python | en | code | 0 | github-code | 13 |
23455605673 | #1 calculate & print the value of function y = 2x^2 + 2x + 2 for x=[56, 57, ... 100] (0.5p)
import math
for i in range(56, 101):
print('The value of function for i=', i, 'is', 2*i**2+2*i+2)
#2 ask the user for a number and print its factorial (1p)
print('Insert your value here:')
x = int(input())
factorial = 1
... | mstolars/maja_stolarska_231016 | maja_stolarska_zadania/lab1/1_3_zadania.py | 1_3_zadania.py | py | 851 | python | en | code | 0 | github-code | 13 |
42526799247 | import matplotlib.pyplot as plt
import pandas as pd
data = pd.read_csv('data.csv') #reading the CSV Data File
print(list(data.columns.values)) #Producing the list of variables the user can choose
x = str(input("Select the x-axis variable ")) #Choosing the firse variable
type = str(input("Type of graph? Scat... | towseefhossain/Pandas_Fifa19 | FIFA.py | FIFA.py | py | 1,561 | python | en | code | 0 | github-code | 13 |
38221413982 | from typing import Callable, Optional
import time
from pyhazel.config import *
from dataclasses import dataclass
from io import TextIOWrapper
from functools import wraps
from threading import Lock
import time
import json
__all__ = [
"HZ_PROFILE_BEGIN_SESSION",
"HZ_PROFILE_END_SESSION",
"HZ_PROFILE_SCOPE",
... | twje/pyhazel | src/pyhazel/debug/instrumentor.py | instrumentor.py | py | 4,220 | python | en | code | 2 | github-code | 13 |
15483207134 | import numpy as np
from math import floor
import scipy.ndimage as ndimage
def postprocess(surface):
surface = surface / np.amax(surface)
alpha = 0.75
surface = np.power(surface, alpha)
surface = ndimage.gaussian_filter(surface, sigma=2, order=0)
norm = np.linalg.norm(surface)
surface = surface... | parakalan/RagaRecognition | surface_generation.py | surface_generation.py | py | 1,284 | python | en | code | 11 | github-code | 13 |
3301356336 | import websocket
import ast
import matplotlib.pyplot as plt
import json
def on_error(wsapp, message):
""" A function to print any error messages """
print(message)
pit_volume = 0 #initializing some variables
incrementalRevenue=0
names=0
def on_message(wsapp, message):
""" A function ca... | Lord-Protector/EOG_HackUTD | node version/eog.py | eog.py | py | 6,646 | python | en | code | 0 | github-code | 13 |
18430050833 | """Pretraining on TPUs."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from absl import app
from absl import flags
import absl.logging as _logging # pylint: disable=unused-import
import numpy as np
import tensorflow as tf
from xlnet import... | SebiSebi/xlnet | train.py | train.py | py | 4,350 | python | en | code | null | github-code | 13 |
33172372670 | class Node:
def __init__(self, item_name, size):
self.children = {}
self.name = item_name
self.size = size
def addChild(self, child_name, child_node):
self.children[child_name] = child_node
def totalSize(self):
total = self.size
for (_, c) in self.children.ite... | alexvy86/advent-of-code | 2022/day7.py | day7.py | py | 1,820 | python | en | code | 0 | github-code | 13 |
42137381293 | #kata link: https://www.codewars.com/kata/550498447451fbbd7600041c
#Instruction : Given two arrays a and b write a function comp(a, b) (orcompSame(a, b)) that checks whether the two arrays have the "same" elements, with the same multiplicities.
# "Same" means, here, that the elements in b are the elements in a squ... | ianbeltrao/CodeWars | 6 kyu/Are_they_the_same.py | Are_they_the_same.py | py | 723 | python | en | code | 0 | github-code | 13 |
2876882398 | import collections
from io import TextIOWrapper
import os
import pathlib
import shutil
import tempfile
import tarfile
from typing import DefaultDict, List, Optional, Tuple
import xml.etree.ElementTree as ET
from docuploader import log, shell, tar
from docuploader.protos import metadata_pb2
from google.cloud import sto... | googleapis/doc-pipeline | docpipeline/generate.py | generate.py | py | 16,625 | python | en | code | 10 | github-code | 13 |
22453914339 | from .models import User, Transaction
from django.db.models import (
F, Q, Sum, Case, When, FloatField, Subquery, OuterRef
)
from .util import get_prices, monetaryConversor
def balance(userID):
user_data = User.objects.get(pk=userID)
portfolio = user_data.investiments.order_by("-date").all().annotate(
... | carlosjosedesign/finance | finance/balance.py | balance.py | py | 5,351 | python | en | code | 0 | github-code | 13 |
71997909457 | import numpy as np
class PostProcess():
#initalization
def __init__(self,pageshape):
self.shape = pageshape # h,w
# process(sort,removing duplicate etc.) the horizontal/vertical lines in the page
def sort_by_index(self,lines,index):
if not len(lines):
re... | wetleaf/Pdf_To_Text | code/postprocess.py | postprocess.py | py | 3,925 | python | en | code | 0 | github-code | 13 |
37478260945 | import torch
import torch.nn as nn
class Actor(nn.Module):
def __init__(self, obs_dim, action_dim, hidden_dim = 256):
super(Actor, self).__init__()
self.fc = nn.Linear(obs_dim, hidden_dim)
self.value = ResNet(hidden_dim, 1, 2, output_dim=1)
self.policy = nn.Linear(hidden_dim, actio... | Gurvan/GoHighFox | models.py | models.py | py | 2,203 | python | en | code | 4 | github-code | 13 |
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