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
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32710979605 | import gym
import pytest
@pytest.mark.skip(reason='suspected as slow, > 5min. TODO (peterz) fix')
def test_treechop_smoke():
with gym.make('minerl:MineRLTreechop-v0') as env:
env.reset()
for _ in range(10):
env.step(env.action_space.sample())
| sihangw/minerl | tests/env_smoke_test.py | env_smoke_test.py | py | 277 | python | en | code | null | github-code | 50 |
21238320601 | from datetime import datetime
from typing import List
from json import load, dump
from os.path import exists
from nextcord import Embed, Member, Message
from nextcord.ext.commands import Cog, Context
from pytz import timezone
from ..bot import RF
from ..utils import Moderation
class Log(Cog):
def __init__(self,... | codacy-badger/RF-911-Bot | RF/cogs/Log.py | Log.py | py | 5,272 | python | en | code | 0 | github-code | 50 |
13567613364 | import scrapy
import re
#import BaseSpider
import sys
sys.path.append('/home/shige/sg/sg')
from sg.items import SgItem
#import Selector
from scrapy.selector import Selector
class NewsSpider(scrapy.Spider):
name = "news"
# allowed_domains = ["http://news.hitwh.edu.cn/"]
start_urls = ['http://news.hitwh.ed... | hitwhsg/hitwhsg | news.py | news.py | py | 984 | python | en | code | 0 | github-code | 50 |
42634935603 | __author__ = 'Aaron Yang'
__email__ = 'byang971@usc.edu'
__date__ = '12/18/2020 11:28 AM'
class Solution:
def exchange(self, nums):
left, right = 0, len(nums) - 1
while left < right:
while left < len(nums) and nums[left] % 2 != 0:
left += 1
while right >= ... | AaronYang2333/CSCI_570 | records/12-18/asd223.py | asd223.py | py | 618 | python | en | code | 107 | github-code | 50 |
4443340570 | from google_images_search import GoogleImagesSearch
import zipfile
import os
# you can provide API key and CX using arguments,
# or you can set environment variables: GCS_DEVELOPER_KEY, GCS_CX
gis = GoogleImagesSearch(
'AIzaSyBpIAcN5IIIcmfLwGq3j6fAV5QkW6vn4N0', '2e5dded9ae895e14b', validate_images=True)
... | raj-chinagundi/Piccauto | searching.py | searching.py | py | 1,123 | python | en | code | 0 | github-code | 50 |
2338189529 | # team.images.utils.py
from team.images import app_config
def list_to_str(lst):
'''Creates string from string list separated using default separator'''
list_as_string = ''
if isinstance(lst, str) is False:
for iterator in range(0, len(lst)):
if iterator == 0:
list_as_str... | slobodz/team.images | team/images/service/utils.py | utils.py | py | 2,543 | python | en | code | 0 | github-code | 50 |
32086595559 | import sys
from collections import defaultdict
input = lambda:sys.stdin.readline()
graph=defaultdict(list)
N = int(input())
for _ in range(N-1):
u, v = map(int, input().split())
graph[u].append(v)
graph[v].append(u)
q = int(input())
for _ in range(q):
t, k = map(int, input().split())
if t == 1:
... | sami355-24/2023SummerVacationCodingTestCamp | lsm/230922-lsm-14675.py | 230922-lsm-14675.py | py | 442 | python | en | code | 0 | github-code | 50 |
40993511170 | """
Errors terminates the python code been executed
- Syntax error
- shows the error with ^
- most IDE catches this error
- exceptions: errors that occur during execution
- code is syntactically correct
- but error occurs when you try to execute it
exception handling:
Try: block... | PavelKo41/SDAtraining | venv/exceptions.py | exceptions.py | py | 1,647 | python | en | code | 0 | github-code | 50 |
1685923786 | import math
import numpy as np
import paddle
import paddle.nn as nn
import paddle.nn.functional as F
from paddle3d.apis import manager
from paddle3d.models.common import pointnet2_stack as pointnet2_stack_modules
from paddle3d.models.heads.roi_heads.roi_head_base import RoIHeadBase
from paddle3d.models.layers import ... | PaddlePaddle/Paddle3D | paddle3d/models/heads/roi_heads/pvrcnn_head.py | pvrcnn_head.py | py | 7,124 | python | en | code | 479 | github-code | 50 |
17194158385 | """
This scripts receives OSC messages via the pyOSC library
and controls APA102 LEDs with the Adafruit DotStar library.
It is used for displaying video or test data on LED stripes.
"""
import os
import OSC
import time
from subprocess import call
from dotstar import Adafruit_DotStar
""" Setup DotStar strip for us... | DFortmann/Wireless-LEDs | oscServer3.py | oscServer3.py | py | 4,792 | python | en | code | 3 | github-code | 50 |
261175975 | """
Here the calculations for the forcasts and the tomorrow value will be calculated.
"""
from datetime import datetime, timedelta, timezone
import pandas
class Forecasts:
def __init__(self, csv_location="weather.csv"):
self.weather_dataframe = pandas.read_csv(csv_location)
def get_forecast(self, ... | GustaafL/weather_forecast | src/weather_forecast/forecasts.py | forecasts.py | py | 2,673 | python | en | code | 0 | github-code | 50 |
69892425115 | from django.shortcuts import render
from django.http import HttpResponse
from . import mqtt as mqtt_module
import time
MQTT_HOST = "77.234.202.168"
MQTT_PORT = 1883
MQTT_KEEPALIVE_INTERVAL = 60
def index(request):
return HttpResponse("<h2>QR_Reader module is loaded here</h2>")
def qr_reader(request):
# this loa... | itmo-swm/SGB-Simulation | qr_reader/views.py | views.py | py | 2,484 | python | en | code | 0 | github-code | 50 |
24893180562 | #숫자 카드
import sys
N=int(input())
N_list = list(map(int, sys.stdin.readline().strip().split()))
M=int(input())
M_list=list(map(int, sys.stdin.readline().strip().split()))
N_list.sort()
for i in M_list:
MIN, MAX = 0, len(N_list)
while True:
if MIN > MAX:
MAX = MAX+1
break
... | AlPomo/AlgorithmReview | Baekjoon/Week04/10815_G.py | 10815_G.py | py | 687 | python | en | code | 0 | github-code | 50 |
18608030 | from __future__ import division
from __future__ import print_function
from astropy.io import fits
import argparse
import numpy as np
import re
import sys
def readfits(infile, iext=0):
"""Read FITS file.
Parameters
----------
infile : string
Input file name to be read.
iext : int
E... | criscabe/CIRCE | code/Data_reduction/median_of_ramps.py | median_of_ramps.py | py | 5,633 | python | en | code | 2 | github-code | 50 |
18051536698 | # importando as lib necessárias
import pandas as pd
import zipfile
# Descompactando arquivo 'dados.zip'
with zipfile.ZipFile('dados.zip', 'r') as zip_dados:
zip_dados.extractall('C:\\Users\\Asus\\PycharmProjects')
# Criando dataframes com os arquivos cvs descompactados
df_origem = pd.read_csv('C:\\Users\\Asus\\Py... | gustavofranco88/pandas | criar_arquivo_sql.py | criar_arquivo_sql.py | py | 1,713 | python | pt | code | 0 | github-code | 50 |
74418461276 | # https://stackoverflow.com/questions/34588464/python-how-to-capture-image-from-webcam-on-click-using-opencv
import cv2
import opencv.gridReaderFinal as gr
def screenshot(size: int):
'''Returns the grid from the captured image.
If no image was captured, returns empty string.
NOTE: Save path changes depend... | TimTwigg/Research | opencv/gridcapture.py | gridcapture.py | py | 1,620 | python | en | code | 2 | github-code | 50 |
36363999649 | from flask import Blueprint
from CTFd.plugins.challenges import BaseChallenge
from .models import DynamicInstanceChallenges
class DynamicInstanceChallenge(BaseChallenge):
id = "dynamic_instance" # Unique identifier used to register challenges
name = "dynamic_instance" # Name of a challenge type
template... | PeronGH/CTFd-DCI | CTFd-DCI/challenge_type.py | challenge_type.py | py | 1,219 | python | en | code | 0 | github-code | 50 |
3950322746 | import speech_recognition as sr
r = sr.Recognizer()
# Define audio file
audio = 'peacock.wav'
# Process the audio file speech to text
with sr.AudioFile(audio) as source:
audio = r.record(source)
print('Done')
try:
text = r.recognize_google_cloud(audio)
print(text)
except Exception as e:
print(e... | MichaelZLai/interactive_notetaking | quick_stt.py | quick_stt.py | py | 321 | python | en | code | 0 | github-code | 50 |
4893132817 | def solve(ds):
n, m = [int(i) for i in ds[0].split(' ')]
fib = [1, 1]
for i in range(2, n, 1):
if 0 <= i - (m+1) < len(fib): # takes into account dying rabbits
temp = fib[i-2] + fib[i-1] - fib[i - (m+1)]
elif i == m: # first batch of dying rabbits
temp = fib[i-2] + ... | Plezo/rosalind_solutions | FIBD.py | FIBD.py | py | 567 | python | en | code | 0 | github-code | 50 |
44561341438 | #!/usr/bin/env python3
import pyquil.api as api
from classical import rand_graph, classical, bitstring_to_path, calc_cost
from pyquil.paulis import sI, sZ, sX, exponentiate_commuting_pauli_sum
from scipy.optimize import minimize
from pyquil.api import WavefunctionSimulator
from pyquil.gates import H
from pyquil import... | murphyjm/cs269q_radzihovsky_murphy_swofford | quantum.py | quantum.py | py | 4,285 | python | en | code | 5 | github-code | 50 |
42088448727 | # -*- coding: utf-8 -*-
import logging
import sys
from loguru import logger
class InterceptHandler(logging.Handler):
""" Intercept logging messages and reroute them to the loguru. """
def emit(self, record):
# Get corresponding Loguru level if it exists
try:
level = logger.level... | caracal-pipeline/crystalball | crystalball/logger_init.py | logger_init.py | py | 1,423 | python | en | code | 2 | github-code | 50 |
72242345115 | import pytest
from flask import session
from conftest import create_test_game
from assassin_server.db_models import Players, Games, db, table_to_dict
#For this test we'll run a 10 person game
def test_mock_game(client, app):
game_size = 10
# Now we'll start the game!
players_info = create_test_game(client... | grahamammal/comp225-server | tests/test_example_game.py | test_example_game.py | py | 7,923 | python | en | code | 1 | github-code | 50 |
29597226637 | from .views import *
from django.urls import path
urlpatterns = [
path('seller_blank_pages/', seller_blank_pages, name='seller_blank_pages'),
path('seller_bootstrap_alert/', seller_bootstrap_alert,name='seller_bootstrap_alert'),
path('seller_bootstrap_badge/',seller_bootstrap_badge,name='seller_bootstrap_... | JenilAnghan/Project | seller/urls.py | urls.py | py | 4,052 | python | en | code | 0 | github-code | 50 |
42241845977 | import multiprocessing
import ConfigParser
import sys
import os
CONF_FILE = "config.conf"
def get_physical_mem_size():
mem_bytes = os.sysconf('SC_PAGE_SIZE') * os.sysconf('SC_PHYS_PAGES')
mem_gib = round(mem_bytes/(1024.**3))
return mem_gib
def get_worker_threads_count():
cpu_count = multiprocessi... | amit-pub/tasks | image-downloader/download-to-local-FS/util.py | util.py | py | 933 | python | en | code | 1 | github-code | 50 |
8100032419 | __author__ = "Noreddine Kessa"
__copyright__ = "!"
__license__ = "MIT License"
from NKTransitions import *
from NKTransition import *
class NKConfigToTransitions:
def __init__(self, ConfigPath=""):
self.ConfigPath =ConfigPath
self.transitions = NKTransitions(Name="" , initia... | knor12/NKFSMCompiler | NKFSMCompiler/NKConfigToTransitions.py | NKConfigToTransitions.py | py | 2,837 | python | en | code | 0 | github-code | 50 |
15715570292 | data = input()
# 0이나 1일 경우에는 더하는게 맞다.
answer = int(data[0])
for index in range(1, len(data)):
num = int(data[index])
if num <= 1 or answer <= 1:
answer += num
else:
answer *= num
print(answer) | BTOCC24/Algorithm | This is codingTest/그리디/곱하기 혹은 더하기/곱하기 혹은 더하기.py | 곱하기 혹은 더하기.py | py | 248 | python | ko | code | 1 | github-code | 50 |
28596250625 | """Implementation of the Skeleton model
"""
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '../../src')))
from classes import BaseModelImpl
from torch import nn
from layers.causalcall import CausalCallConvBlock
class CausalCallModel(BaseModelImpl):
"""CasualCall Mo... | marcpaga/basecalling_architectures | models/causalcall/model.py | model.py | py | 2,462 | python | en | code | 5 | github-code | 50 |
19601138102 | from __future__ import annotations
from typing import Dict, TYPE_CHECKING, Union, Type
from assistants.deployments.aws.api_endpoint import ApiEndpointWorkflowState
from assistants.deployments.aws.api_gateway import ApiGatewayResponseWorkflowState
from assistants.deployments.aws.cloudwatch_rule import ScheduleTriggerW... | refinery-labs/refinery | api/assistants/deployments/aws/new_workflow_object.py | new_workflow_object.py | py | 2,966 | python | en | code | 2 | github-code | 50 |
33862318363 | class Solution:
def maxProfit(self, prices: List[int]) -> int:
dp = [0 for _ in range(len(prices) + 1)]
for i in range(1,len(prices)):
if dp[i]:
return dp[i]
dp[i] = max(0, dp[i-1] + prices[i] - prices[i-1])
return max(dp) | mykoabe/Competetive-Programming | All collections/121-best-time-to-buy-and-sell-stock/121-best-time-to-buy-and-sell-stock.py | 121-best-time-to-buy-and-sell-stock.py | py | 304 | python | en | code | 1 | github-code | 50 |
86766993796 | # Django
from django.shortcuts import render_to_response, redirect, HttpResponseRedirect
from django.contrib.auth import authenticate, login
from django.contrib import messages
from django.conf import settings
from django.contrib.auth.decorators import login_required
# Apps
from misc.utils import * #Import miscellaneo... | The-WebOps-Club/fest-api | apps/home/views.py | views.py | py | 3,170 | python | en | code | 12 | github-code | 50 |
5112566879 | import http.client
domainFootballApi = "v3.football.api-sports.io"
keyFootballApi = "..."
headers = {
'x-apisports-key': keyFootballApi
}
def getRequest(queryLine):
connection = http.client.HTTPSConnection(domainFootballApi)
if (queryLine[0] != "/"):
queryLine = "/" + queryLine
connection.request("GET", queryL... | petartotev/PT_Library_Python_UltimatePythotev | libraries/pythotev_library_http_football_api.py | pythotev_library_http_football_api.py | py | 696 | python | en | code | 0 | github-code | 50 |
40158298450 | import FWCore.ParameterSet.Config as cms
process = cms.Process("TEST")
process.options = cms.untracked.PSet(
numberOfStreams = cms.untracked.uint32(1)
)
process.maxEvents = cms.untracked.PSet(
input = cms.untracked.int32(3)
)
process.source = cms.Source("PoolSource",
fileNames = cms.untracked.vstring('fil... | cms-sw/cmssw | FWCore/Integration/test/DetSetVectorThinningTest2_cfg.py | DetSetVectorThinningTest2_cfg.py | py | 1,656 | python | en | code | 985 | github-code | 50 |
11237801787 | import os
import transformers
import pandas as pd
from utils import text_to_dataloader
from bert_embedding import BertEmbeddingExtractorVanilla
HEADER_CONST = "# sent_id = "
TEXT_CONST = "# text = "
STOP_CONST = "\n"
WORD_OFFSET = 1
LABEL_OFFSET = 3
NUM_OFFSET = 0
def txt_to_dataframe(data_path):
'''
read UD... | ErezSC42/bert_pos_analysis | test_embedding_extractor.py | test_embedding_extractor.py | py | 2,169 | python | en | code | 0 | github-code | 50 |
1171679180 | from launch import LaunchDescription
from ament_index_python.packages import get_package_share_directory
from launch_ros.actions import Node
from launch.actions import ExecuteProcess
import os.path
def generate_launch_description():
ld = LaunchDescription()
sim_node = Node(
package="robot_projects_sim... | lessthantrue/RobotProjects2 | robot_projects_ekf_localization/launch/make_evaluate_bag.launch.py | make_evaluate_bag.launch.py | py | 1,144 | python | en | code | 0 | github-code | 50 |
40577424537 | import torch
from torch import optim
# Text text processing library and methods for pretrained word embeddings
import torchtext
from torchtext.vocab import Vectors, GloVe
# Named Tensor wrappers
from namedtensor import ntorch, NamedTensor
from namedtensor.text import NamedField
# Our input $x$
TEXT = NamedField(names... | mtensor/cs287 | ps1/logistic_regression.py | logistic_regression.py | py | 4,453 | python | en | code | 0 | github-code | 50 |
24833699202 | #öyle bir fonksiyon yazın ki kullanıcının adını gönderdiğinizde hoşgeldin isim yazsın.
isim=input("İsminizi yazın. :")
print("Hoşgeldin", isim)
#kendisine girilen sayının karesinin karesini hesaplasın.
sayi=int(input("Sayı gir:"))
def hesapla(a):
print(a*a*a*a)
hesapla(sayi)
#girilen bu sayının çi... | progamerofTR/bilsem2 | fonksiyon uygulama 2.py | fonksiyon uygulama 2.py | py | 536 | python | tr | code | 0 | github-code | 50 |
27576108554 | # -*- coding: utf-8 -*-
"""
Created on Thu Dec 2 12:41:14 2021
@author: hp
"""
from flask import Flask, render_template, request
from wtforms import Form, TextAreaField, validators
import pickle
import sqlite3
import os
import numpy as np
import joblib
loaded_model=joblib.load(r"D:/ML_Project\model.p... | ankitaanjali1202/Twitter-Senti-Meter | app.py | app.py | py | 1,464 | python | en | code | 1 | github-code | 50 |
31023238558 | import pygame
import time
import random
from pygame.locals import*
from time import sleep
############################
########## Mario ###########
############################
class Mario():
def __init__(self, model):
self.model = model
self.x = 0
self.y = 0
self.model.scrollPos = self.x - 350
self.prev_x... | wws002/pyMario | game.py | game.py | py | 9,260 | python | en | code | 0 | github-code | 50 |
23781955007 |
from cube import Config
from cube.activities.utils import Utils
import subprocess, os
from shutil import copyfile
# the alignment file probably needs to be checked
class Conservationist:
def __init__(self, upload_handler):
# directories
self.job_id = upload_handler.job_id
self.workdir = "{}/{}".format(... | ivanamihalek/cube_server | cube/activities/conservation.py | conservation.py | py | 8,595 | python | en | code | 0 | github-code | 50 |
10860308596 | from AsyncDjangoApp.celery import app
from App.models import Tasks
from time import sleep
import random
@app.task(bind=True)
def process(self, job_name=None):
b = Tasks(task_id=self.request.id, job_name=job_name)
b.save()
self.update_state(state='Dispatching', meta={'progress': '33'})
sleep(random.r... | mahdi-ghelichi/AsyncDjangoApp | App/tasks.py | tasks.py | py | 671 | python | en | code | 7 | github-code | 50 |
17169184421 | from collections import OrderedDict
import json
from .logger import Logger
from .handlers import ConsoleHandler, JsonFileHandler
json_serializer = json.dumps
STR_FMT_DICT = dict(
progress=' [{0: <20}]',
metrics=' [{0: <28}]',
default=' [{0: <10}]'
)
def get_str_format(key):
if key not in STR_FMT_DI... | Deep-Spark/DeepSparkHub | cv/semantic_segmentation/unet3d/pytorch/ixpylogger/training_logger.py | training_logger.py | py | 1,769 | python | en | code | 28 | github-code | 50 |
28333036923 | # A* Search Algorithm
#
# let openList equal empty list of nodes
# let closedList equal empty list of nodes
# put startNode on the openList (leave it's f at zero)
# while openList is not empty
# let currentNode equal the node with the least f value
# remove currentNode from the openList
# add currentNode to... | PROxZIMA/Academic-Codes | Semester 6/LP2/A2/A2.py | A2.py | py | 4,343 | python | en | code | 47 | github-code | 50 |
886111389 | import os
import subprocess
import math
import random as rd
import numpy as np
import automated_compiling as autcom
NbDim = 8 # 5 elts in a solution (n1,n2,n3,nb_t,nb_it,tblk1,tblk2,tblk3) (opt and simdType not used yet)
size = 256
lmin = [32, 32, 32, 1, 100, 16, 16,... | MarcelKondo/Proj-intel-repo | mpi_HillClimbing.py | mpi_HillClimbing.py | py | 2,327 | python | en | code | 1 | github-code | 50 |
20397466874 | import os
import json
import datetime as dt
import logging
import pika
import psycopg2
from sqlalchemy import create_engine
from sqlalchemy import Column, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from database import DataBaseConnection
logging.basi... | WolfusFlow/Virtual_data_generator | orchestrator/MqItemConsumer.py | MqItemConsumer.py | py | 2,275 | python | en | code | 0 | github-code | 50 |
23334016212 | #!/usr/bin/python3
import xml.etree.ElementTree
import argparse
import sys
import os.path
import pprint
import logging
def process_cmdline():
parser = argparse.ArgumentParser()
parser.add_argument('-f', '--fsroot', help='fsroot that was given to dar create')
parser.add_argument('files', metavar='FILE', na... | ncsa/pdbkup | bin/dar_parse_xml.py | dar_parse_xml.py | py | 1,598 | python | en | code | 0 | github-code | 50 |
38131098194 | # this is to keep mypy happy
from .pyrosetta_import import pyrosetta
import warnings
from typing import List, Tuple
class _IgorBase:
def __init__(self):
warnings.warn('Virtual only method: THIS METHOD SHOULD NOT BE RUN. CALL `Igor`', category=SyntaxWarning)
self.pose = pyrosetta.Pose()
self... | matteoferla/Fragmenstein | fragmenstein/igor/_igor_base.py | _igor_base.py | py | 817 | python | en | code | 132 | github-code | 50 |
1745617578 | # -*- coding: utf-8 -*-
"""
Created on Wed Mar 30 17:36:17 2022
@author: noemie
"""
import xarray as xr
import numpy as np
#import pandas as pd
import os
import random
#import pyproj as proj
from sklearn.decomposition import PCA
import copy as cp
from sklearn.decomposition import KernelPCA
from sklearn.preprocessing ... | noemieplanat/Clustering_Lagrangian_particles | Scripts/All_functions_ML.py | All_functions_ML.py | py | 18,619 | python | en | code | 0 | github-code | 50 |
25193341516 | # Creating a dictionary of 20 countries
Countries = dict({'1': 'Argentina',
'2': 'Australia',
'3': 'Brazil',
'4': 'Colombia',
'5': 'Egypt',
'6': 'France',
'7': 'Germany',
'8': 'Greece',
... | CT673/End-of-Module-Assignment | Config.py | Config.py | py | 1,313 | python | en | code | 0 | github-code | 50 |
3120828974 | from jupyter_client.manager import start_new_kernel
import thebe.core.file as File
import thebe.core.constants as Constant
import thebe.core.output as output
import thebe.core.logger as Logger
import thebe.core.database as Database
import thebe.core.html as Html
from pygments import highlight
from pygments.lexers impo... | hotsoupisgood/Thebe | thebe/core/jupyter_wrapper.py | jupyter_wrapper.py | py | 19,967 | python | en | code | 0 | github-code | 50 |
27157479985 | import pandas as pd
import numpy as np
import logging
import math
logging.basicConfig(format="%(asctime)s %(name)s:%(levelname)s:%(message)s", datefmt="%Y-%m-%d %H:%M:%S", level=logging.INFO)
def varStats(dataframe,round=2):
format_str = "{" + "0:,." + str(round) + "f}"
data=dataframe
list_role = []
l... | leeoo/pyminer | pyminer2/extensions/packages/data_miner/data_miner/features/statistics/basic_stats.py | basic_stats.py | py | 4,475 | python | en | code | null | github-code | 50 |
17009503445 | # -*- coding: utf-8 -*-
import os
import argparse
from datetime import datetime, timedelta
from dataclasses import asdict
from typing import List
import uuid
import const
from logging import Logger
import logger
from mq import MQ, MQMsgData
import ysapi
def _send_msg(send_data: MQMsgData,
queue_name: ... | pro-top-star/python-stock-out | app/stockout_yshop_producer.py | stockout_yshop_producer.py | py | 4,722 | python | en | code | 2 | github-code | 50 |
25290415553 | from matplotlib import pyplot as plt
from matplotlib import cm
def plot_by_num_and_group(sequences_in, numcol, groupcols):
seq = sequences_in.copy()
g = seq.groupby(groupcols)
n_col = 4
n_row = len(g) // n_col + len(g) % n_col
f, axes = plt.subplots(n_row, n_col, figsize=[20, 15], sharex=True, shar... | teddygroves/football_on_paper | plotting.py | plotting.py | py | 2,214 | python | en | code | 0 | github-code | 50 |
8231560009 | # Environment to play
#environment = 'LunarLanderContinuous-v2'
environment = 'Pendulum-v0'
#environment = 'CartPole-v1'
# environment = 'Acrobot-v1'
# environment = 'MountainCar-v0'
# Continuous Action if true
#continuous_action = False
continuous_action = True
# Number of Episodes
max_episodes = 100000
#Summaries ... | KatayamaLab/tf-rl | config.py | config.py | py | 754 | python | en | code | 0 | github-code | 50 |
43949326095 | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 25 09:32:01 2019
@author: benja
"""
import pandas as pd
import re
import numpy as np
import os
from itertools import permutations
import multiprocessing as mp
import utils
import string
import json
import sys
from functools import partial
def fn... | bubalis/ae_sysreview | author_work.py | author_work.py | py | 45,236 | python | en | code | 0 | github-code | 50 |
42931306467 | #!/usr/bin/python3
def weight_average(my_list=[]):
if(len(my_list) == 0):
return 0
suma = 0
divisor = 0
for i in my_list:
suma += i[0] * i[1]
for i in my_list:
divisor += i[1]
return suma / divisor
| valerepetto14/holbertonschool-higher_level_programming | 0x04-python-more_data_structures/100-weight_average.py | 100-weight_average.py | py | 248 | python | en | code | 0 | github-code | 50 |
36348384155 | import json
from .generalhandle import GeneralHandle
from .generalhandle import BaseHandle
from .converter import api2mc
from .converter import mc2api
import tornado.httpclient
import logging
logger = logging.getLogger('API')
APIVersion = 'V5.1.0.1.0.20170421'
CM_MAU_MQ = {
'ex': 'mau.cmmau.ex',
'key': 'mau.... | github188/dest | 80-moservice/vcapi/src/v1/vchandle.py | vchandle.py | py | 54,755 | python | en | code | 0 | github-code | 50 |
23240011506 | import pandas as pd
import talib as ta
import tushare as ts
from tqdm import tqdm
pd.set_option('display.max_columns', None)
# set token
ts.set_token('303f0dbbabfad0fd3f9465368bdc62fc775bde6711d6b59c2ca10109')
# initialize pro api
pro = ts.pro_api()
def get_transform_data(path):
df = pd.read_csv(path, index_col... | HuifengJin/Quant_project | solutions/week2/solution_panel.py | solution_panel.py | py | 1,862 | python | en | code | 0 | github-code | 50 |
70969694234 | # geeksforgeeks-practice
def gcd(a, b):
if a<b:
small=a
else:
small=b
for x in range(1,small+1):
if ((a%x==0) and (b%x==0)):
g=x
return g
| ArunimaGupta1/geeksforgeeks-practice | GCD.py | GCD.py | py | 187 | python | en | code | 0 | github-code | 50 |
21540899903 | # -*- coding: utf-8 -*-
"""
Created on Sun Oct 13 14:46:27 2019
@author: emili
"""
##Importing Keras Libraries
from keras.models import Sequential
from keras.layers import Convolution2D
from keras.layers import MaxPooling2D
from keras.layers import Flatten
from keras.layers import Dense
##Initializing the CNN
classif... | tresstogo/Deep_Learning | cnn_M.py | cnn_M.py | py | 2,830 | python | es | code | 0 | github-code | 50 |
70307591194 | # Databricks notebook source
# MAGIC %md # Population vs. Median Home Prices
# MAGIC #### *Linear Regression with Single Variable*
# COMMAND ----------
# MAGIC %md ### Load and parse the data
# COMMAND ----------
# Use the Spark CSV datasource with options specifying:
# - First line of file is a header
# - Automa... | AdamPaternostro/Azure-Databricks-Dev-Ops | notebooks/MyProject/Pop. vs. Price LR.py | Pop. vs. Price LR.py | py | 4,598 | python | en | code | 61 | github-code | 50 |
15660309619 | import json
import shutil
from tempfile import mkdtemp
class ExperimentalEnvironment(object):
UNREL_GRAPH = "unrelated_graph"
UNREL_RULE_GRAPH = "thermometer"
UNREL_RULE_RULE = "temperature_rule"
NOT_FEASIBLE_RULE = "light2_rule"
MAIN_GRAPHS = ["facts.n3"]
MAIN_RULE = ["light3_rule.n3"]
... | gomezgoiri/actuationInSpaceThroughRESTdesc | ScnImpl/wot2013/evaluation/environment.py | environment.py | py | 4,472 | python | en | code | 0 | github-code | 50 |
35116740678 | from collections import namedtuple
def coll_namedtuple():
City = namedtuple('City', 'name country population coordinates')
tokyo = City('Tokyo', 'JP', population=36.99, coordinates=(35.66, 139.69))
print(tokyo)
print(City._fields)
LatLong = namedtuple('LatLong', 'lat long')
delhi_data =('Delhi NCR', 'IN',... | alexIGit/practics | py_luchano/tuple.py | tuple.py | py | 626 | python | en | code | 0 | github-code | 50 |
17538298267 | import pandas as pd
import numpy as np
# pandas分组
# -聚合 计算汇总统计
# -转换 执行一些特定于组的操作
# -过滤 再某些情况下丢弃数据
d = {
'Name': pd.Series(['Tom', 'James', 'Ricky', 'Vin', 'Steve', 'Minsu', 'Jack'
'Lee', 'David', 'Gasper', 'Betina', 'Andres']),
'Year' : pd.Series([2015, 2016, 2013, 2015, 2019, 2016, ... | yruns/Machine_Learning | DataAnalysis/Pandas/groupBy.py | groupBy.py | py | 1,931 | python | zh | code | 0 | github-code | 50 |
68087887 | import operator
W= input('Please enter a string ')
d=dict()
def most_frequent(string):
for key in string:
if key not in d:
d[key] = 1
else:
d[key] += 1
return d
print (most_frequent(W))
sorted_d = dict( sorted(d.items(), key=operator.itemgetter(1),reverse=True))
print('D... | Divyanaik74/Xyz.py | Most_frequent.py | Most_frequent.py | py | 373 | python | en | code | 0 | github-code | 50 |
71122609754 | import http.server
import socketserver
PORT = 8000
MAX_OPEN_REQUESTS = 5
class TestHandler(http.server.BaseHTTPRequestHandler):
def do_GET(self):
print("GET received")
print("Request line:" + self.requestline)
print(" Cmd: " + self.command)
print(" Path: " + self.path)
... | baasi/2018-19-PNE-practices | P5/webserver.py | webserver.py | py | 1,460 | python | en | code | 0 | github-code | 50 |
39435831697 | from PyQt6.QtCore import Qt, QSortFilterProxyModel, QModelIndex
from PyQt6.QtWidgets import QHeaderView
import Fandom
from AbstractModel import AbstractModel
class ItemModel(AbstractModel):
def __init__(self):
self.what = 'ALL'
super().__init__([
AbstractModel.Column('ID', lambda x: x... | mcondarelli/DDDAedit | ItemModel.py | ItemModel.py | py | 2,591 | python | en | code | 0 | github-code | 50 |
13004426895 | """According to the question we need to maintain count of likes and dislikes such that from a set of numbers(Second line of input) if a particluar number exist in set A(Third line of input) then the happiness count will be 1, if it exist in (Forth line of input)B the happiness count will be -1 and if neither of the set... | TLE-MEC/Hack-CP-DSA | Hackerrank/No Idea!/Solution.py | Solution.py | py | 1,246 | python | en | code | 180 | github-code | 50 |
13287888443 | from fastapi import FastAPI, File, UploadFile
import uvicorn
import numpy as np
from io import BytesIO
from PIL import Image
import tensorflow
import cv2
from tensorflow.keras.applications.inception_v3 import preprocess_input
app = FastAPI()
model = tensorflow.keras.models.load_model("gender_model.h5")
@app.get("/pin... | raghuadloid/character_creation | gender.py | gender.py | py | 1,422 | python | en | code | 0 | github-code | 50 |
23447294801 | import unittest
from city_functions import city_country
from city_functions import city_country_people
class CityFunctionsTestCase(unittest.TestCase):
"""Тесты для city_functions.py"""
def test_city_country(self):
"""Работает ли связка Santiago Chile"""
formatted_name = city_country("santiago... | 91nickel/python | tests.py/test_cities.py | test_cities.py | py | 1,054 | python | en | code | 0 | github-code | 50 |
19935741898 | #Problem 10
def is_prime(n):
if n == 1:
return False
for i in range(2,int(n**(0.5))+1):
if n%i==0:
return False
count = 0
total = 0
n = 1
while n < 2000000:
n += 1
if is_prime(n) != False:
count += 1
total += n
print(total)
| jasmineseah-17/euler | 10_Summation_of_primes.py | 10_Summation_of_primes.py | py | 286 | python | en | code | 0 | github-code | 50 |
73324525275 | import argparse
from attrdict import AttrDict
from deriva.core import ErmrestCatalog, get_credential, DerivaPathError
from deriva.utils.catalog.manage.update_catalog import CatalogUpdater, parse_args
from deriva.core.ermrest_config import tag as chaise_tags
import deriva.core.ermrest_model as em
groups = {
'pbccon... | informatics-isi-edu/betacell-consortium | catalog-configs/pbcconsortium.isrd.isi.edu_1.py | pbcconsortium.isrd.isi.edu_1.py | py | 6,612 | python | en | code | 2 | github-code | 50 |
25533080487 | import re
import time
def text_del():
srcFiles = open('test.txt', 'r')
begin_flag = False
ip_flag = False
llc_flag = False
l = []
show_list = []
dst = ""
src = ""
protocol = ""
for file_path in srcFiles:
file_path = file_path.rstrip()
if file_path == "Ethernet(":
... | egoistor/sniff | test.py | test.py | py | 2,375 | python | en | code | 0 | github-code | 50 |
21830967871 | from flask_wtf import FlaskForm
from wtforms import HiddenField, DecimalField, SubmitField, SelectField, FloatField
from wtforms.validators import DataRequired, NumberRange
from wtforms.widgets.html5 import NumberInput
from wtforms_html5 import AutoAttrMeta
from app.constants import MINIMUM_CONSUMPTION, MAXIMUM_CONSUM... | GustaveCoste/110surautoroute | app/forms.py | forms.py | py | 2,468 | python | en | code | 0 | github-code | 50 |
41390829547 | import json
import pickle
import nmslib
import requests
import numpy as np
questions_stored = r'D:\Archive\Voibot\qabot\data\question.pickle'
answers_stored = r'D:\Archive\Voibot\qabot\data\answer.pickle'
features_stored = r'D:\Archive\Voibot\qabot\data\feature.npy'
index_stored = r'D:\Archive\Voibot\qabot\data\featu... | yaohsinyu/voibot | qabot/search.py | search.py | py | 1,650 | python | en | code | 0 | github-code | 50 |
37632079064 | class Solution:
def moveZeroes(self, nums: List[int]) -> None:
p,q=0,0
while q<len(nums):
if nums[q]==0:
q=q+1
else:
nums[p],nums[q]=nums[q],nums[p]
p=p+1
q=q+1
| amanueldemirew/Competitive-Programming | 0283-move-zeroes/0283-move-zeroes.py | 0283-move-zeroes.py | py | 280 | python | en | code | 0 | github-code | 50 |
9960952936 | import logging
from collections import Collection
from math import isclose
from multipledispatch import dispatch
from bn.b_network import BNetwork
from bn.values.value import Value
from datastructs.assignment import Assignment
from inference.approximate.sampling_algorithm import SamplingAlgorithm
from inference.exact... | KAIST-AILab/PyOpenDial | test/common/inference_checks.py | inference_checks.py | py | 7,930 | python | en | code | 9 | github-code | 50 |
42572707827 | import math
from typing import Tuple
from PIL import Image
def resize_crop(image: Image, size: Tuple[int, int]) -> Image:
"""Crop the image with a centered rectangle of the specified size"""
img_format = image.format
image = image.copy()
old_size = image.size
left = (old_size[0] - size[0]) / 2
... | apockill/portrayt | portrayt/renderers/crop_utils.py | crop_utils.py | py | 1,134 | python | en | code | 53 | github-code | 50 |
71449673754 | #!/usr/bin/env python3
'''
FSMScorer - A class to assign scores to FSMs based on how well they classify strings through their output.
Classes:
FSMScorer - scores
'''
import logging
import automata
class FSMScorer(object):
'''A class to score FSMs based on their outputs against a reference set of s... | tonyzoltai/FSM-Evolution | FSMScorer.py | FSMScorer.py | py | 4,639 | python | en | code | 0 | github-code | 50 |
38260145636 | #!/usr/bin/env python
import time
import rospy
import RPi.GPIO as GPIO
from system_state.msg import WorkerState
from remote_command.msg import DualshockInputs
STATE_NAME_MAP= {
0: 'CHARGING/INACTIVE',
1: 'MANUAL CONTROL',
2: 'AUTONOMOUS CONTROL'
}
STATE_PINS = {
0: 22, ## Red
1: 18, ## Yellow
2: 17 ## Green
... | grodriguez78/amr_redux | src/system_state/src/worker_state_machine.py | worker_state_machine.py | py | 2,374 | python | en | code | 0 | github-code | 50 |
28569533617 | from typing import List
# Solution
class Solution:
def containsDuplicate(self, nums: List[int]) -> bool:
# Initialise an empty set
hashset = set()
for number in nums:
# Duplicate found
if number in hashset:
return True
# add the unique number to hashset
else:
hashset.add(n... | aakashmanjrekar11/leetcode | 1. Array and Hashing/217. Contains Duplicate.py | 217. Contains Duplicate.py | py | 371 | python | en | code | 0 | github-code | 50 |
22539325683 | #Course: CS2302 - Spring 2019
#Author: Solomon Davis
#Lab Number: 4
#Instructor: Olac Fuentes
#Last Modified: March 24, 2019
#Due Date: March 15, 2019
#Description: This code will use b-trees to carry out specific tasks. These
#tasks include commputing the height of the tree,extracting items from a b-tree
#into a sor... | Solomond10/CS2302 | LAB4/Lab 4.py | Lab 4.py | py | 10,519 | python | en | code | 0 | github-code | 50 |
21753251086 | from bunch import Bunch
import datetime
import numpy as np
model_params = {"alpha_default": 0.3, # default alpha for all items
"alpha_min": 0.1, # minimum possible alpha
"alpha_max": 0.5, # maximum possible alpha
"de... | slavov-vili/ba_thesis | activation_code/act_alg_semi_pseudo_old.py | act_alg_semi_pseudo_old.py | py | 22,650 | python | en | code | 0 | github-code | 50 |
5936441245 | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponse,JsonResponse
from django.db import connection
from django.db import models
from .models import Users
from django.contrib import auth
from django.utils.decorators import method_decorator
from django.views.decorators.csrf import c... | Dongkw324/CodeDokDok_Baekend | User_Function/views.py | views.py | py | 2,223 | python | ko | code | 0 | github-code | 50 |
4197431456 | def solution(T):
"""
[73,74]
[1, 0]
at index i = 0 have to wait 1 day
at index i = 1 is the end
[73, 74, 75]
[1, 1, 0]
we could find the # of days but subtracting the index of the warmer day - previous colder day
we could process one day by a time in a stack to keep track which has been looked up ye... | Prakort/competitive_programming | daily-temperatures.py | daily-temperatures.py | py | 795 | python | en | code | 0 | github-code | 50 |
26563775466 | from panpipelines.utils.util_functions import *
from panpipelines.scripts.panscript import *
import os
import glob
# TEST
#from panpipelines.scripts import *
#SCRIPT="fmriprep_panscript"
#panscript=eval("{}.{}".format(SCRIPT,SCRIPT))
#labels_dict={"COMM": "ls"}
#pancomm = panscript(labels_dict)
#pancomm.run()
class ... | MRIresearch/PANpipelines | src/panpipelines/scripts/fmriprep_panscript.py | fmriprep_panscript.py | py | 1,772 | python | en | code | 0 | github-code | 50 |
38297049752 | from __future__ import print_function
import argparse
import os
from pprint import pprint
import multiprocessing
import numpy as np
import torch
import torch.optim as optim
import torch.backends.cudnn as cudnn
import torch.nn as nn
cudnn.benchmark = True
import datasets
import util
import packing
def train(model... | BradMcDanel/column-combine | train.py | train.py | py | 6,643 | python | en | code | 26 | github-code | 50 |
73677829594 | from django.shortcuts import render
from rest_framework import generics, status
from django.views.decorators.csrf import csrf_exempt
from rest_framework.views import APIView
from rest_framework.response import Response #send custom response from view
from .serializers import TeamSerializer, CreateTeamSerializer
from... | ivanManzalez/FY3 | teams/views.py | views.py | py | 3,366 | python | en | code | 0 | github-code | 50 |
34884647599 | class Solution:
def backspaceCompare(self, s: str, t: str) -> bool:
s_list = list(s)
t_list = list(t)
def f(str_list):
stack = []
for item in str_list:
if not stack and item == "#":
continue
else:
... | Dong98-code/leetcode | codes/Stack/844.比叫含退格的字符串.py | 844.比叫含退格的字符串.py | py | 680 | python | en | code | 0 | github-code | 50 |
22361452008 | import discord
from asyncpraw.models import Submission
class Embeds:
@staticmethod
def post(submission: Submission) -> discord.Embed:
embed = discord.Embed()
embed.title = submission.title
embed.set_author(name=submission.author.name, icon_url=submission.author.icon_img)
embed.... | AltF02/fwp-bot | src/embeds.py | embeds.py | py | 475 | python | en | code | 0 | github-code | 50 |
20025439990 | import datetime
from enum import IntEnum
from typing import List
from pydantic import validator
from .base import BaseScheduleObject
from .lesson import Lesson
__all__ = ['Day', 'Weekday']
class Weekday(IntEnum):
monday = 0
tuesday = 1
wednesday = 2
thursday = 3
friday = 4
saturday = 5
... | Bobronium/aiospbstu | aiospbstu/types/day.py | day.py | py | 2,252 | python | en | code | 0 | github-code | 50 |
34733859527 | class Solution(object):
def duplicateZeros(self, arr):
"""
:type arr: List[int]
:rtype: None Do not return anything, modify arr in-place instead.
"""
# Store old length
oldLen = len(arr)
i = 0
while i < oldLen :
# Insert 0 into li... | nabbott98/LeetCode | duplicate-zeros/duplicate-zeros.py | duplicate-zeros.py | py | 492 | python | en | code | 0 | github-code | 50 |
31069762113 | #!/bin/python
import math
import os
import random
import re
import sys
'''
Given a set of distinct integers, print the size of a maximal subset of S where the sum of any 2 numbers in S' is not evenly divisible by K.
For example, the array [19,10,12,10,24,25,22] and k=4. One of the arrays that can be created is [10,12... | haroldmei/GeneralProgramming | interview/nonDivisibleSubset.py | nonDivisibleSubset.py | py | 932 | python | en | code | 2 | github-code | 50 |
7619208294 | """
FludServer.py (c) 2003-2006 Alen Peacock. This program is distributed under
the terms of the GNU General Public License (the GPL), version 3.
flud server operations
"""
import threading, binascii, time, os, stat, httplib, gc, re, sys, logging, sets
from twisted.web import server, resource, client
from twisted.we... | alenpeacock/flud | flud/protocol/FludServer.py | FludServer.py | py | 2,131 | python | en | code | 12 | github-code | 50 |
21542368532 | from os import P_WAIT
import openpyxl
import random
import docx
from docx.enum.text import WD_PARAGRAPH_ALIGNMENT
from docx.shared import Pt, RGBColor
wb = openpyxl.load_workbook('工资统计.xlsx')
sheet = wb['工作量汇总']
lst = []
for index, values in enumerate(sheet.rows, 1):
t = list(map(lambda x: x.value, values))
l... | hurttttr/MyPythonCode | 文件操作/2906-制作word表格.py | 2906-制作word表格.py | py | 1,057 | python | en | code | 3 | github-code | 50 |
26082749703 | def get_loop_size(public_key: int) -> int:
initial_subject_number = 7
divider = 20201227
value = 1
loop = 0
while value != public_key:
value *= initial_subject_number
value %= divider
loop += 1
return loop
def calculate_encryption_key(card_public_key: int, door_public_k... | tosoba/Grind | advent_of_code_2020/d25_encryption_key.py | d25_encryption_key.py | py | 623 | python | en | code | 0 | github-code | 50 |
1812305371 | import functools
from typing import Tuple
import chex
import jax
import jax.numpy as jnp
from jumanji import specs
from jumanji.env import Environment
from jumanji.types import TimeStep, restart, termination, transition
from matrax.types import Observation, State
class MatrixGame(Environment[State]):
"""JAX imp... | instadeepai/matrax | matrax/env.py | env.py | py | 6,417 | python | en | code | 5 | github-code | 50 |
17264620320 | '''
Created on 27 Dec 2016
@author: af
'''
'''
Created on 22 Apr 2016
@author: af
'''
import pdb
import numpy as np
import sys
from os import path
import scipy as sp
import theano
import theano.tensor as T
import lasagne
from lasagne.regularization import regularize_layer_params_weighted, l2, l1
from lasagne.regulari... | afshinrahimi/geographconv | mlp.py | mlp.py | py | 18,612 | python | en | code | 67 | github-code | 50 |
34025219462 | import sys
import os
import pytest
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), ".."))
from cvxpy import installed_solvers
from hysut.utils.defaults import ModelSettings
def test_ModelSettings():
settings = ModelSettings()
# wrong solver
output = settings.validate_solver("d... | HySUT/hysut | tests/test_defaults.py | test_defaults.py | py | 833 | python | en | code | 0 | github-code | 50 |
27386073504 | from tkinter import *
def submit():
print("It is " + str(scale.get()) + " degrees C.")
window = Tk()
#placed at top
hotImage = PhotoImage(file = "GUI_Icon.png") #placeholder for fire image
hotLabel = Label(image=hotImage)
hotLabel.pack()
scale = Scale(window,
from_=100, #sets range for scale
... | 18gwoo/Python-Practice | BroCode70_GUI_Scale.py | BroCode70_GUI_Scale.py | py | 1,136 | python | en | code | 0 | github-code | 50 |
38189202195 | import re
from SymbolTable import SymbolTable
class CodeWriter:
CONVERT_KIND = {
'ARG': 'ARG',
'STATIC': 'STATIC',
'VAR': 'LOCAL',
'FIELD': 'THIS'
}
ARITHMETIC = {
'+': 'ADD',
'-': 'SUB',
'=': 'EQ',
'>': 'GT',
'<': '... | abarat256/JACK_Compiler | CodeWriter.py | CodeWriter.py | py | 14,451 | python | en | code | 0 | github-code | 50 |
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