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
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values | pt stringclasses 78
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
33367768493 | #! /usr/bin/env python3
from sys import stdin, stderr
from re import match
def extract_feats(input_word, gold_word):
if len(input_word) != len(gold_word):
print(input_word + " " + gold_word)
exit(1)
if len(input_word) == 0:
return
iletters = []
gletters = []
if match("<.... | mpsilfve/mpsilfve | crf_ocr_post_proc/extract_features.py | extract_features.py | py | 1,745 | python | en | code | 0 | github-code | 90 |
1332577252 | '''
aabcdea
a|abcde|a
abacaea
a bac ae a
loop through string
if char in set
append curr segment to res
reset segment and set
(always) add char i to set
(always) add char to segment
'''
def nonRepeatingSegments(s):
found = set()
segment = ''
res = []
for i in s:
if i in found:
res.append(se... | dariusnguyen/algorithm_data_structure_replit | aaa_Amazon/nonRepeatingSegments.py | nonRepeatingSegments.py | py | 571 | python | en | code | 0 | github-code | 90 |
30304700468 | import os
path = "D:\\movies\\witcher\\The.Witcher.S01.COMPLETE.720p.NF.WEBRip.x264-GalaxyTV[TGx]"
os.chdir(path)
for i in os.listdir():
name, extension = os.path.splitext(i)
label = name.split(".")[2][:-2]
print(label)
os.rename(path+"\\"+i, path+"\\"+label)
| v4nh4n/small-projects | rename.py | rename.py | py | 312 | python | en | code | 0 | github-code | 90 |
7983844358 |
class Solution(object):
def two_sum_SS(self, nums:list, target:int)-> list:
# Convert list to dictionary with items' indices as keys
result_dict = {}
for index, item in enumerate(nums):
search_value = target - item
if search_value in result_dict:
r... | SahandSomi/algorithms-exercise | Array & Hashing/Two Sum/two_sum.py | two_sum.py | py | 995 | python | en | code | 0 | github-code | 90 |
2702906447 | import numpy as np
def arctan(x,n):
"""Returns series expansion of arctan(x); n = iterations."""
answer = 0
for i in range (0,n+1):
if -1<=x<0 or 0<x<=1:
answer += (((-1)**i) / (2*i + 1)) * x ** (2*i +1)
return answer
elif x<-1:
... | tedible/Arctan-series-expansion | arctan_series.py | arctan_series.py | py | 598 | python | en | code | 0 | github-code | 90 |
18523977359 | n,m = map(int,input().split())
xyz = [[int(i) for i in input().split()] for j in range(n)]
ans = 0
num = 2**3
for i in range(num):
tmp = format(i,'0'+str(3)+'b')
li = []
for j in range(n):
kari = 0
for k in range(3):
kari += xyz[j][k]*(-1)**int(tmp[k])
li.append(kari)
... | Aasthaengg/IBMdataset | Python_codes/p03326/s709411903.py | s709411903.py | py | 443 | python | en | code | 0 | github-code | 90 |
33707211523 | import numpy as np
def __coefficients(oracle):
A = np.asarray(oracle[:, 0], dtype=bool)
B = np.asarray(oracle[:, 1], dtype=bool)
a = np.sum(A * B) # A right, B right
b = np.sum(~A * B) # A wrong, B right
c = np.sum(A * ~B) # A right, B wrong
d = np.sum(~A * ~B) ... | viisar/brew | brew/metrics/diversity/paired.py | paired.py | py | 3,722 | python | en | code | 301 | github-code | 90 |
30940533157 | import time
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.keys import Keys
import pandas as pd
nomePLA = ""
nomeCVS = ""
caminhoPlanilha = r"C:\Users\Micro\Desktop\pla... | AndreyWBS/botWPP_multiprocessing | main.py | main.py | py | 5,329 | python | pt | code | 0 | github-code | 90 |
32461483288 | import numpy as np
from sklearn import preprocessing, cross_validation, neighbors
import pandas as pd
df = pd.read_csv('breast-cancer-wisconsin.data')
df.replace('?', -99999, inplace = True)
df.drop(['id'],1, inplace = True)#drop ID as this messes up the accuracy of the data
X = np.array(df.drop(['class'],1))
Y = np.... | ross39/ML | ApplyingKNearestNeighbours/k_nearest_neighbors.py | k_nearest_neighbors.py | py | 777 | python | en | code | 0 | github-code | 90 |
9127820805 | # -*- coding:utf-8 -*-
from flask import request
from flask_login import login_required, current_user
from flask_restful import Resource, reqparse, fields, marshal, marshal_with
from werkzeug.exceptions import NotFound, Forbidden
import services
from controllers.console import api
from controllers.console.datasets.err... | parity-asia/hackathon-2023-summer | projects/26-Dynamo/src/ai-project/api/controllers/console/datasets/datasets.py | datasets.py | py | 12,677 | python | en | code | 14 | github-code | 90 |
6075658035 | import requests
import time
import json
import os
import pandas as pd
#this script takes the Matches ID in Database and request the match information from OpenDota through their api and store it in a json file
#path is assigned in Database Manager
# path = #assign this variable if you want to use this script by itsel... | RRDito/Dota-Fantasy-Database | OpenDotaScrap.py | OpenDotaScrap.py | py | 2,007 | python | en | code | 0 | github-code | 90 |
8963025874 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Setup script for FireHole
You can install FireHole with
python setup.py install
"""
from setuptools import setup
from os import path
DIR = path.dirname(path.abspath(__file__))
DESCRIPTION = "FireHole (fh) is a Python package for Data Analyst."
AUTHORS = 'Xia Tian'
... | xSumner/firehole | setup.py | setup.py | py | 1,479 | python | en | code | 6 | github-code | 90 |
18406870899 | def main():
import sys
input = sys.stdin.buffer.readline
N, M = (int(i) for i in input().split())
par = [i for i in range(N)]
rank = [1 for i in range(N)]
def find_root(x):
if par[x] == x:
return x
else:
par[x] = find_root(par[x])
return par[x... | Aasthaengg/IBMdataset | Python_codes/p03045/s572998664.py | s572998664.py | py | 885 | python | en | code | 0 | github-code | 90 |
70547415017 | import tensorflow as tf
import argparse
import numpy as np
import cv2
parser = argparse.ArgumentParser()
parser.add_argument('--h5', type=str, default=None, help='Mode "train" or "predict"')
parser.add_argument('--size', type=int, default=160, help='Input size to the model')
parser.add_argument('-images','--images', n... | cabjr/tf2_suite | predict.py | predict.py | py | 1,413 | python | en | code | 0 | github-code | 90 |
18152768119 | c=0
for _ in range(int(input())):
x,y = map(int,input().split())
if x==y:
c+=1
else:
c=0
if c==3:
c=-1
print('Yes')
break
if c!=-1:
print('No')
| Aasthaengg/IBMdataset | Python_codes/p02547/s752537331.py | s752537331.py | py | 205 | python | en | code | 0 | github-code | 90 |
25290909080 | from builtins import bytes
from future.utils import PY2
import os
import shutil
import tarfile
from tempfile import mkdtemp
from itertools import islice
from pimlico.utils.pimarc.reader import StartAfterFilenameNotFound
class PimarcTarBackend(object):
def __init__(self, archive_filename):
self.archive_... | markgw/pimlico | src/python/pimlico/utils/pimarc/tar.py | tar.py | py | 4,932 | python | en | code | 6 | github-code | 90 |
18942853319 | import csv
import numpy as np
import math
from sklearn.preprocessing import minmax_scale
def onehot_enc(lbl, min_val=0):
mi = int(min(lbl))
mx = int(max(lbl))
enc = np.full((len(lbl), (mx - mi + 1)), min_val, np.int8)
for i, x in enumerate(lbl):
enc[i, int(x) - mi] = 1
return enc... | nafismuhammd/ActivationFunction-TEST- | main1_nafis.py | main1_nafis.py | py | 16,319 | python | en | code | 0 | github-code | 90 |
24552643877 | from ... import core as c
from ... import ctrlstru as cs
from . import modcurpl as cp
from . import byterw as bm
@c.EUDFunc
def f_repmovsd_epd(dstepdp, srcepdp, copydwn):
epd_diff = dstepdp - srcepdp
tempv = c.Forward()
# Backup original cp.
origcp = cp.f_getcurpl()
cp.f_setcurpl(srcepdp)
... | phu54321/eudplib | eudplib/eudlib/memiof/mblockio.py | mblockio.py | py | 2,825 | python | en | code | 13 | github-code | 90 |
21129777517 | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import math
from compas_igs.rhino.diagramobject import DiagramObject
from compas_igs.rhino.forceinspector import ForceDiagramVertexInspector
__all__ = ['ForceObject']
class ForceObject(DiagramObject):
"... | BlockResearchGroup/compas-IGS | src/compas_igs/rhino/forceobject.py | forceobject.py | py | 11,501 | python | en | code | 1 | github-code | 90 |
73748656296 | import requests
import json
import webbrowser
def gugu():
my_endpoint = 'https://dog.ceo/api/breeds/image/random'
facts = requests.get(my_endpoint)
print(facts.text)
data = json.loads(facts.text)
webbrowser.open_new_tab(data['message'])
print("Your welcome for the cool dog image")
gugu()
... | guleidmuse20/Experimenting-with-API-in-class | ghggg.py | ghggg.py | py | 321 | python | en | code | 1 | github-code | 90 |
25947059182 | from django.conf import settings
from rest_framework.routers import DefaultRouter, SimpleRouter
from django.urls import include, path
if settings.DEBUG:
router = DefaultRouter()
else:
router = SimpleRouter()
app_name = "api"
urlpatterns = [
path('geocoding/', include('geo_coding_platform_test.apps.geocodi... | aduquehd/geo-coding-platform-test | config/api_router.py | api_router.py | py | 338 | python | en | code | 0 | github-code | 90 |
25323748445 | # import part
import glfw
from OpenGL.GL import *
import numpy as np
# define glbal variables
val_degree=0
val_translate=0
val_switch=0
val_scale=1
S=np.array([[val_scale,0.,0.],
[0.,1.,0.],
[0.,0.,1.]])
T=np.array([[1,0.,0.],
[0.,1.,0.],
[0.,0.,1.]])
... | anatamy/CG | CG_weekly_practice_04_2016024866.py | CG_weekly_practice_04_2016024866.py | py | 4,307 | python | en | code | 0 | github-code | 90 |
18373361569 | N, K = (int(i) for i in input().split())
graph = [[] for i in range(N)]
for i in range(N-1):
a, b = (int(i) for i in input().split())
graph[a-1].append(b-1)
graph[b-1].append(a-1)
from collections import deque
def BFS(N, K, graph, start):
c = [-1 for i in range(N)]
Q = deque([])
Q.append(start... | Aasthaengg/IBMdataset | Python_codes/p02985/s037240749.py | s037240749.py | py | 786 | python | en | code | 0 | github-code | 90 |
38927495470 | #--------------------
# Bootstrap in Python
#--------------------
import pandas as pd
import numpy as np
from scipy.stats import bootstrap
sample1 = pd.read_csv("C:/Users/julia/OneDrive/Desktop/github/sample1.csv")
sample1
# example 1
sample1 = np.array([8.26, 6.33, 10.4, 5.27, 5.35, 5.61, 6.12, 6.19, 5.... | JRigh/Bootstrap-in-R-and-Python | Bootstrap_Python.py | Bootstrap_Python.py | py | 800 | python | en | code | 0 | github-code | 90 |
29868764373 | import copy
import glob
import os
from spectral_cube import SpectralCube
from spectral_cube.io import fits as scfits
from astropy.io import fits
from astropy import wcs
for fn in glob.glob("FITS/*.image.pbcor.fits"):
print(fn)
outfn = 'FITS/max/'+os.path.basename(fn.replace(".image.pbcor.fits","max.fits"))
... | keflavich/FeO_2015.1.00262.S | analysis/peakmaps.py | peakmaps.py | py | 892 | python | en | code | 0 | github-code | 90 |
5921130910 | import kivy
#kivy.require('1.10.0') # replace with your current Kivy version
from kivy.uix.behaviors import ButtonBehavior
from kivy.uix.image import Image
from kivy.factory import Factory
class PlayPauseButton(ButtonBehavior, Image):
def __init__(self, **kwargs):
super(PlayPauseButton, self).__init__(*... | inteplus/kivymt | kivymt/playpause_btn.py | playpause_btn.py | py | 722 | python | en | code | 0 | github-code | 90 |
18231125126 | #! /usr/bin/env python
import sys
import os
def rename(old, new):
stat = os.stat(old)
os.rename(old, new)
os.utime(new, (stat.st_atime, stat.st_mtime))
if os.path.isfile(sys.argv[1]):
basenameOld = os.path.splitext(sys.argv[1])[0]
basenameNew = os.path.splitext(sys.argv[2])[0]
for ext in ["... | lahwaacz/Scripts | pyre-mv.py | pyre-mv.py | py | 593 | python | en | code | 181 | github-code | 90 |
25829683720 | import os
from pathlib import Path
import glob
import csv
def set_output_directory(out_dir):
if not os.path.exists(out_dir):
os.makedirs(out_dir)
def csv_read(filename):
list_of_rows = []
with open(filename, 'r') as read_obj:
csv_reader = csv.reader(read_obj)
list_of... | shivaheidari/Opinion_Prediction | Select_main_users.py | Select_main_users.py | py | 2,835 | python | en | code | 1 | github-code | 90 |
18570673069 | # n, m, l = map(int, input().split())
# list_n = list(map(int, input().split()))
# n = input()
# list = [input() for i in range(N)
# list = [[i for i in range(N)] for _ in range(M)]
import sys
input = sys.stdin.readline
A = int(input())
B = int(input())
C = int(input())
X = int(input())
ans = 0
for i in range(0, ... | Aasthaengg/IBMdataset | Python_codes/p03448/s548286122.py | s548286122.py | py | 496 | python | en | code | 0 | github-code | 90 |
27712605632 | """
site is automatically imported each time the interpreter starts up. As it is being imported,
it extends sys.path with site-specific names that are constructed by combining the prefix
values sys.prefix and sys.exec_prefix with several suffixes. The prefix values used are
saved in the module-level variable PREFIXES f... | rakkaalhazimi/Python_Std_Library | Ch17RunTimeFeatures/site/part01_site_import_path.py | part01_site_import_path.py | py | 955 | python | en | code | 0 | github-code | 90 |
43306124139 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from collections import Counter
from sklearn import feature_extraction, model_selection, naive_bayes, metrics, svm
from IPython.display import Image
import warnings
warnings.filterwarnings("ignore")
data = pd.read_csv('ReviewsHotel.csv', encoding='... | thombreankita/Review-Spam-Detection | 7. Feature Engineering.py | 7. Feature Engineering.py | py | 1,875 | python | en | code | 0 | github-code | 90 |
1814550006 | # -*- coding: utf-8 -*-
"""
Created on Fri Apr 3 19:58:49 2020
@author: Rajesh
Q2. (Create a program that fulfills the following specification.)
tshirts.csv
T-Shirt Factory:
You own a clothing factory. You know how to make a T-shirt given the height
and weight of a customer.
You want to standardize the productio... | Rajesh-sharma92/FTSP_2020 | Mechine Learning Forsk/Un-Superwised ML/tshirts.csv_KMeans_(UNSP_ML).py | tshirts.csv_KMeans_(UNSP_ML).py | py | 4,921 | python | en | code | 3 | github-code | 90 |
13567902529 | import os
import sys
from message.receive import listen
from events.beans_event import BeansEvent
exchange = 'beans'
beans_silo_load = 0
def beans_callback(ch, method, properties, body: bytes):
beans_event_json = body.decode()
print(f'Beans event received: {beans_event_json}')
beans_event = BeansEven... | adrianojp1/utfpr-distributed-systems | project1/src/grain_stock_mgmt.py | grain_stock_mgmt.py | py | 698 | python | en | code | 0 | github-code | 90 |
29571463035 | import cv2
# Step 1: Read the image
image_path = '/Users/cwchan/Desktop/IMG_1946.PNG' # Replace with the path to your image
image = cv2.imread(image_path)
# Check if the image was loaded successfully
if image is None:
print("Error: Unable to load image.")
else:
# Step 2: Display the image
cv2.imshow('Ima... | kd110544/hw_code | read_image.py | read_image.py | py | 707 | python | en | code | 1 | github-code | 90 |
12163843497 | #!/usr/bin/env python3
import unittest
import os
import daftask
import tempfile
def vector2file(x, filename):
x = ['\t'.join([str(z) for z in y]) for y in x]
x = '\n'.join([y for y in x])
with open(filename, 'wb') as f:
f.write(bytes(x, 'ascii'))
class TestDatabase(unittest.TestCase):
def set... | arendsee/daftask | test.py | test.py | py | 2,257 | python | en | code | 0 | github-code | 90 |
21191609850 | import sys; sys.path.insert(0, '../../'); import PEUQSE as PEUQSE
import PEUQSE.UserInput as UserInput
if __name__ == "__main__":
import observed_values_00 #Just a simple example. The user can also put the values in directly into the runfile or extract from a csv, for example.
import simulation_model_00 #Sim... | AdityaSavara/PEUQSE | Examples/Example00/runfile_Example_00a7_BPE_MetropolisHastings.py | runfile_Example_00a7_BPE_MetropolisHastings.py | py | 3,099 | python | en | code | 12 | github-code | 90 |
27164859764 | class Warrior:
def __init__(self, health = 50, attack=5):
self.health = health
self.attack = attack
@property
def is_alive(self):
if self.health > 0:
return True
else:
return False
def suffer(self, damage):
self.health -= damage
def hit(self, enemy):
enemy.suffer(... | gaidamakinaas/Checkio | incinerator/army_battles_update.py | army_battles_update.py | py | 2,358 | python | en | code | 0 | github-code | 90 |
40565102838 | import frappe
import pandas as pd
import json
def make_booking_service_item(doc, method):
if doc.booking_item == 1:
create_service_item(doc)
validate_service_item(doc)
def create_service_item(item):
if not frappe.db.exists("Item", item.item_code + "_service"):
book_service_setting = f... | Khatavahi-BI-Solutions/mat_customization | mat_customization/utils.py | utils.py | py | 7,487 | python | en | code | 0 | github-code | 90 |
32664535251 | import argparse
import time
import torch
import torch.nn.parallel
import torch.optim
import torch.utils.data.distributed
from torch.optim import lr_scheduler
from src_files.data_loading.data_loader import create_data_loaders
from src_files.helper_functions.distributed import print_at_master, to_ddp, num_distrib, setup... | Alibaba-MIIL/ImageNet21K | train_semantic_softmax.py | train_semantic_softmax.py | py | 4,464 | python | en | code | 665 | github-code | 90 |
14064535711 | from os import PathLike
from typing import Callable, List, Optional
import netCDF4
import numpy as np
from netCDF4 import Dataset, Variable
from improver.constants import DEFAULT_TOLERANCE
def compare_netcdfs(
actual_path: PathLike,
desired_path: PathLike,
rtol: float = DEFAULT_TOLERANCE,
atol: floa... | metoppv/improver | improver/utilities/compare.py | compare.py | py | 10,707 | python | en | code | 95 | github-code | 90 |
14704809428 | import gymnasium as gym
import torch
import torch.nn as nn
# import the skrl components to build the RL system
from skrl.agents.torch.td3 import TD3, TD3_DEFAULT_CONFIG
from skrl.envs.wrappers.torch import wrap_env
from skrl.memories.torch import RandomMemory
from skrl.models.torch import DeterministicMixin, Model
fr... | gabe00122/rl-practice | rl-practice/main_td3.py | main_td3.py | py | 4,066 | python | en | code | 0 | github-code | 90 |
24243767398 | import pathlib
import dash
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
from dash.dependencies import Input, Output, State
import cufflinks as cf
import numpy as np
import plotly.express as px
import plotly.graph_objects as go
from june.visualization.plotter import DashPl... | fneuhaus/JUNE_germany | june/visualization/app.py | app.py | py | 20,102 | python | en | code | 2 | github-code | 90 |
17735479100 | #!/usr/local/bin/python3
#-*- coding: utf-8 -*-
# Глава 14. Почтовый клиент PyMailGUI.
# Реализация PyMailGUI.
# wraplines: инструменты разбиения строк.
# Пример 14.7 (Лутц Т2 стр.427)
"""
# ---------------------------------------------------------------------------- #
разбивает строки по фиксированной позиции или по п... | TreasureMaster/ch14 | wraplines.py | wraplines.py | py | 6,366 | python | ru | code | 0 | github-code | 90 |
22659586050 | import simplejson as json
from django.conf import settings
from django.shortcuts import render_to_response
from django.template.context import RequestContext
from django.http import Http404, HttpResponseRedirect, \
HttpResponse
from apps.library.api_wrapper import ApiWrapper
LIB_OBJ = ApiWrapper()
TICKET_STATUS... | atsiddiqui/zendesk | apps/views.py | views.py | py | 1,872 | python | en | code | 1 | github-code | 90 |
7321238247 | import astropy.units as u
import wx
from astropy.coordinates import EarthLocation, Latitude, Longitude
from astropy.table import Table
from dataclasses import dataclass
from os import PathLike
from pathlib import Path
from threading import Lock
from typing import List, Union, Sequence, Tuple
MIN_WAVELEN = 3000
MAX_W... | mgeselle/spectra | config.py | config.py | py | 13,623 | python | en | code | 0 | github-code | 90 |
13257982096 | import requests
def response_test():
response = requests.post(
'http://34.64.254.235:5001/result',
data = {
'sentence': 'dddd dd efqwecd dfdedd'
}
)
return response.status_code
def test_function():
assert response_test() == 200
| cjh1212/Internship-Project-CICD | dynamic_test.py | dynamic_test.py | py | 298 | python | en | code | 0 | github-code | 90 |
30559384289 | import requests as req
from PyInquirer import style_from_dict, prompt, Token
from pprint import pprint
import os
from os.path import join, dirname
from dotenv import load_dotenv
dotenv_path = join(dirname(__file__), '../.env')
load_dotenv(dotenv_path)
API_KEY_EMAIL = os.environ.get("REVERSE_EMAIL_KEY")
class Reverse... | Kody-Bentley/who-they-bee | Reverse_Email/reverse_email.py | reverse_email.py | py | 1,066 | python | en | code | 0 | github-code | 90 |
24116035285 | # -*- coding: utf-8 -*-
"""
Created on Wed Sep 7 22:15:26 2016
@author: Sivanand Achanta
"""
import numpy as np
import scipy
from scipy.io import wavfile
def synthDumb(units,synth_path, fname, parser):
wav_segpath = parser['paths'].get('wav_segpath')
zstr_full = parser['strs'].get('zstr_full')
for i ... | SivanandAchanta/Blizzard16 | python_codes/Voice_Synthesis/unitsConcat.py | unitsConcat.py | py | 707 | python | en | code | 2 | github-code | 90 |
71510722537 | import hashlib
import random
from django.forms.models import model_to_dict
# from Task.models import tasks
def taskidMD5(string):
hash=hashlib.md5()
hash.update(string.encode('utf-8'))
res=hash.hexdigest()
return res
def tagcolor():
color_list= [
# "label-default",
"label-primary",... | liudl240/JamesDjango | Task/makeTaskid.py | makeTaskid.py | py | 1,272 | python | en | code | 1 | github-code | 90 |
25035488115 | from dateutil.parser import parse as parsedate
from urllib.parse import urlparse
from datetime import datetime
import traceback
import requests
import wget
import time
import os
def sizeof_fmt(num, suffix='B'):
for unit in ['','Ki','Mi','Gi','Ti','Pi','Ei','Zi']:
if abs(num) < 1024.0:
return "%... | Rarioty/DataFlow-Components | webdownloader.py | webdownloader.py | py | 5,168 | python | en | code | 2 | github-code | 90 |
28052196617 | from flask import Flask, jsonify, request
from typing import List, Tuple, Dict
import os
import boto3
from boto3.dynamodb.conditions import Key
import math
import datetime
import uuid
import json
from flask_cors import CORS
from utils import convert_processed_pitch_to_response, convert_config_to_response
from pitch im... | Decerguyer/BaseballSimulator | backend/App/app.py | app.py | py | 6,520 | python | en | code | 0 | github-code | 90 |
74573009575 | #!/usr/bin/env python
"""Listeners for handling streaming events."""
import os
import logging
from .base import BaseListener
from rotating_out_file import RotatingOutFile
log = logging.getLogger(__name__)
class FileListener(BaseListener):
"""File Listener."""
def __init__(self, base_dir, collection_name... | geosoco/twitter_capture_client | listeners/file.py | file.py | py | 2,891 | python | en | code | 1 | github-code | 90 |
18387083259 | import sys
from bisect import bisect_left
input = sys.stdin.readline
def main():
N = int(input())
A = list(map(int, input().split()))
A.sort()
idx = bisect_left(A[1:-1], 0)
m_group = A[1:1 + idx]
p_group = A[1 + idx: -1]
ans = []
MAX = A[-1]
for m in m_group:
ans.append... | Aasthaengg/IBMdataset | Python_codes/p03007/s049822446.py | s049822446.py | py | 570 | python | en | code | 0 | github-code | 90 |
7419837433 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('cmp_index', '0007_p_category_category_id'),
]
operations = [
migrations.AddField(
model_name='p_category',
... | kukuZ/BeerFest | mysite/cmp_index/migrations/0008_p_category_image.py | 0008_p_category_image.py | py | 443 | python | en | code | 0 | github-code | 90 |
18473779269 | def main():
burgur = [0] * 51
burgur[0] = 1
pate = [0] * 51
pate[0] = 1
for i in range(50):
burgur[i+1] = burgur[i] * 2 + 3
pate[i+1] = pate[i] * 2 + 1
N, X = map(int, input().split())
X -= 1
ans = 0
for i in reversed(range(1, N+1)):
if X == burgur[i] -... | Aasthaengg/IBMdataset | Python_codes/p03209/s448136792.py | s448136792.py | py | 596 | python | en | code | 0 | github-code | 90 |
42039580600 | """
You are given coins of different denominations and a total amount of money amount. Write a function to compute the fewest number of coins that you need to make up that amount. If that amount of money cannot be made up by any combination of the coins, return -1.
You may assume that you have an infinite number of ea... | nilay-gpt/LeetCode-Solutions | recursions_and_DP/DP/coin_change.py | coin_change.py | py | 970 | python | en | code | 2 | github-code | 90 |
20045043241 | class LinkedList:
def __init__(self):
self.head = None
def create_ll(self, array):
if self.head is None:
self.head = Node(array[0])
if len(array) > 0:
curr = self.head
for i in array[1:]:
curr.next = Node(i)
curr = cur... | dkarthicks27/ML_Database | contest/codeforces_latoken_div1_div2/color_the_flag.py | color_the_flag.py | py | 1,266 | python | en | code | 0 | github-code | 90 |
34121950425 | #rat facts
import random
ratFacts = [ 'Rat lives in Kissimmee, Fl.',
'Rat is a registered Democrat.',
"Rat's house got ran over by a black man",
"Jullian is Rat's cousin, he ran over Rat's Grandma's foot",
"Rats sister stole his identity and ruined his credit."]
pri... | NEDMInsane/quick-scripts | Python/ratFacts.py | ratFacts.py | py | 369 | python | en | code | 0 | github-code | 90 |
18659206350 | import torch
import torch.nn as nn
import torch.optim as optim
import selection.layers as layers
class MSELoss(nn.Module):
'''MSE loss that sums over output dimensions and allows weights.'''
def __init__(self, reduction='mean'):
super().__init__()
assert reduction in ('none', 'mean')
s... | iancovert/dl-selection | selection/models/utils.py | utils.py | py | 6,980 | python | en | code | 13 | github-code | 90 |
5629508091 | from scapy.all import *
from datetime import datetime
import pytz
import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
import socket
from main import send_packet_data
def get_host_ip_address():
hostname = socket.gethostname()
ip_address = socket.gethost... | DavidOP1/dnsfp | get_packet_data.py | get_packet_data.py | py | 1,998 | python | en | code | 0 | github-code | 90 |
25588285884 | from collections import defaultdict
import json
import logging
import urllib3
logging.basicConfig(level=logging.WARNING)
content_header = """Draft Release Notes For {version}
--
Final release notes will be generated from the PR titles that have *"release notes:yes"* label. If you have any additional notes please add... | grpc/grpc | tools/release/release_notes.py | release_notes.py | py | 10,903 | python | en | code | 39,468 | github-code | 90 |
17436724930 | import requests
from bs4 import BeautifulSoup
from warnings import warn
class Kompas:
'''
Scraper untuk kompas.com
'''
def extractData(htmlFile):
"""
Mengekstrak isi berita kompas.com
INPUT:
htmlFile -- request.models.Response
Sebuah request.models.Response yang... | ristek-deepstudy/gemastik-2017-prediksi-kurs | src/Scraper/Kompas.py | Kompas.py | py | 2,957 | python | id | code | 1 | github-code | 90 |
74079873256 |
from requirements import coffees,coins,stock
while True:
print("Welcome to Coffee Machine, Which one do you want to buy? (cappuccino,latte,espresso)")
user_input = input()
if stock["milk"]>=coffees[user_input]["milk"] and stock["coffee"]>=coffees[user_input]["coffee"] and stock["water"]>=coffees[user_inp... | BahadirAkdemir/basic-python-projects | basic python projects/Coffee Machine/app.py | app.py | py | 1,163 | python | en | code | 0 | github-code | 90 |
35360138515 | #!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
@Project ：test
@File ：distinct.py
@Author ：Wang
@Date ：2022/5/19 0:18
@Show :
"""
def distinct2(l): #运行时间太长
lst = list(l)
num = []
tmp = []
for it in lst:
if it[0] not in num:
num.append(it[0])
tmp.append(it)
... | wang0717/test | gaokao/distinct.py | distinct.py | py | 766 | python | en | code | 0 | github-code | 90 |
20600579346 | import pkgutil
from datetime import datetime
from decimal import Decimal
from typing import Iterable, List, Optional
from flask import request
from sqlalchemy.engine.row import Row
from sqlalchemy.orm.decl_api import DeclarativeMeta
from vault import app
from vault.views.api import RequestError
def load_module_recu... | jizhang/vault-server | vault/utils.py | utils.py | py | 2,536 | python | en | code | 0 | github-code | 90 |
34423612327 | from functools import reduce
from operator import or_
import django_filters
from django.db.models import Count, Q
from django_filters import CharFilter, ModelChoiceFilter, ChoiceFilter
from django_filters.constants import EMPTY_VALUES
from django_filters.widgets import CSVWidget
from .models import Paper, StudentClub... | skni-kod/StronaPraceKol | papers/filters.py | filters.py | py | 6,469 | python | en | code | 0 | github-code | 90 |
37314367109 | #!/usr/bin/python
import sys
import os
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(sys.argv[0])), "..", "repos", "mesa_ci"))
import build_support as bs
class CrucibleBuilder(bs.AutoBuilder):
def __init__(self):
self._pm = bs.ProjectMap()
glslc = "GLSLC=" + self._pm.build_root() + ... | cmarcelo/mesa_jenkins | crucible/build.py | build.py | py | 1,187 | python | en | code | null | github-code | 90 |
24436503058 | #
# @lc app=leetcode.cn id=27 lang=python3
#
# [27] 移除元素
#
# @lc code=start
class Solution:
def removeElement(self, nums, val: int) -> int:
self.nums = nums
self.val = val
n = len(nums)
slow = 0
fast = 0
while fast < n:
if nums[fast] != val:
... | chenbingcheng1994/Leecode_practice | 27.移除元素.py | 27.移除元素.py | py | 550 | python | en | code | 0 | github-code | 90 |
18508797689 | from collections import defaultdict
from itertools import accumulate
N,M=map(int,input().split())
A=list(map(int,input().split()))
acc=list(accumulate(A))
d=defaultdict(int)
ans=0
for i in range(N):
if acc[i]%M==0:
d[acc[i]%M]+=1
ans+=d[acc[i]%M]
else:
d[acc[i]%M]+=1
ans+=d[a... | Aasthaengg/IBMdataset | Python_codes/p03287/s887428985.py | s887428985.py | py | 341 | python | en | code | 0 | github-code | 90 |
28170161259 | import argparse
import csv
from collections import OrderedDict
import numpy as np
import pandas as pd
HEADER = [
'chrom',
'chromStart',
'chromEnd',
'name',
'SeqCounts',
'strandPerturbationTarget',
'PerturbationTargetID',
'chrTSS',
'startTSS',
'endTSS',
'strandGene',
'measuredGeneSymbol',
'measuredEnsem... | sjgosai/casa | casa/encode2casa.py | encode2casa.py | py | 5,692 | python | en | code | 2 | github-code | 90 |
17548865727 | import numpy as np
import tensorflow as tf
from tensorflow.keras.layers import (
Conv1D, LeakyReLU, BatchNormalization, Conv1DTranspose, Input, Concatenate, MultiHeadAttention, Add, Activation, Multiply, MaxPooling1D)
from tensorflow.keras.callbacks import ModelCheckpoint
from tensorflow.keras.models import Model
f... | mrknorman/noisenet | train_model.py | train_model.py | py | 13,578 | python | en | code | 0 | github-code | 90 |
5011394425 | from unittest.mock import MagicMock
from unittest.mock import patch
from cauldron import environ
from cauldron.cli.sync import threads
from cauldron.test.support import scaffolds
class TestSyncThreading(scaffolds.ResultsTest):
""" Tests for the cauldron.cli.sync.sync_comm module."""
@patch('cauldron.cli.syn... | sernst/cauldron | cauldron/test/cli/sync/test_sync_threading.py | test_sync_threading.py | py | 2,013 | python | en | code | 78 | github-code | 90 |
23239394031 | from fastapi import APIRouter, Depends, HTTPException
from sqlmodel import Session, select
from typing import List
from database import get_session
from models import Emp, EmpOutput, Performance
router = APIRouter(prefix="/api/employees")
@router.get("/")
def get_cars(
# EMPLOYEE_NAME: str | None = None,
... | krishnakesari/Fast_API_Nest | routers/endpoints.py | endpoints.py | py | 1,176 | python | en | code | 0 | github-code | 90 |
28319305542 | def odd_even(num):
if num == 1 or num == 0:
print("not even or odd ")
elif num % 2 == 0:
print("even number")
else:
print("Odd number")
inp = int(input("Enter your number"))
odd_even(inp)
| pribhat06/python | yt_100_qs/06_odd_even.py | 06_odd_even.py | py | 252 | python | en | code | 0 | github-code | 90 |
16250798080 | from PyQt5.Qt import *
import sys
# 1. 创建一个应用程序对象
app = QApplication(sys.argv)
# 2.控件的操作
# 2.1创建控件
window = QWidget()
# 2.2设置控件
window.setWindowTitle("QToolButton箭头")
window.resize(500, 500)
window.move(400, 250)
tb = QToolButton(window)
tb.setText("这是一个QToolButton")
# 注意：即使设置了文字和图标，也不一定显示
tb.setIcon(QIcon('../Icons... | CJH0220/PyQt_practice | 06-QToolButton/03-QToolButton-箭头.py | 03-QToolButton-箭头.py | py | 770 | python | zh | code | null | github-code | 90 |
1958316980 | import sys
print('Python: {}'.format(sys.version))
# scipy
import scipy
print('scipy: {}'.format(scipy.__version__))
# numpy
import numpy
print('numpy: {}'.format(numpy.__version__))
# matplotlib
import matplotlib
print('matplotlib: {}'.format(matplotlib.__version__))
# pandas
import pandas
print('pandas: {}'.format(pa... | Oapinzon/Regresion-lineal | regresion.py | regresion.py | py | 2,213 | python | en | code | 0 | github-code | 90 |
25415781571 | #! python3
# converter.py - Converts filenames of images in a directory such that they can be imported into Opentoonz as a single level.
import os, re, sys
if len(sys.argv) > 1:
image_name = sys.argv[1]
files = os.listdir()
directory_name = os.path.basename(os.getcwd())
images = []
# TO-DO: Check filenames for im... | ttpham2/OpenToonzImageNameConverter | converter.py | converter.py | py | 839 | python | en | code | 0 | github-code | 90 |
17584034716 | import pytest
from simplemaths.simplemaths import SimpleMaths as sm
class TestSimpleMaths():
def test_constructor(self):
x = sm(5)
assert x.number == 5
def test_negative_constructor(self):
with pytest.raises(TypeError):
x = sm(5.5)
def test_square_factorial(self):
x = sm(5)
... | uceclz0/last-year-python-exam | test_simplemaths.py | test_simplemaths.py | py | 739 | python | en | code | 0 | github-code | 90 |
36070139731 | """
*Script calculates SI-x trends over the entire CESM Control run*
"""
from control_SIX_datareader import ccsm
import numpy as np
from scipy import stats as sts
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
### Call CESM Control Data
years = 'b.e11.B1850C5CN.f09_g16.005.cam.h1.TRE.SI-x.40... | zmlabe/EarlySpringOnset | Scripts/control_SIx_totaltrends.py | control_SIx_totaltrends.py | py | 2,972 | python | en | code | 3 | github-code | 90 |
41168354168 | from autoinject import injector
from pipeman.util import caps_to_snake
from pipeman.util import System
from pipeman.db import Database
import pipeman.db.orm as orm
import sqlalchemy as sa
import datetime
import zirconium as zr
import zrlog
from pipeman.entity import EntityRegistry
from pipeman.dataset import MetadataRe... | dfo-meds/data-manager | src/pipeman/core/__init__.py | __init__.py | py | 6,887 | python | en | code | 0 | github-code | 90 |
10400147688 | # -*- coding: utf-8 -*-
"""
Created on Wed Jul 3 14:29:09 2019
@author: admin
"""
'''
编写一个函数来查找字符串数组中的最长公共前缀。
如果不存在公共前缀，返回空字符串 ""。
示例 1:
输入: ["flower","flow","flight"]
输出: "fl"
示例 2:
输入: ["dog","racecar","car"]
输出: ""
解释: 输入不存在公共前缀。
说明:
所有输入只包含小写字母 a-z 。
来源：力扣（LeetCode）
链接：https://leetcode-cn.com/problems/long... | k8godzilla/-Leetcode | 1-100/L014.py | L014.py | py | 1,506 | python | zh | code | 0 | github-code | 90 |
25847187625 | from IFC2BOT.util import build_URI
def classify_buildings(ifc_file):
triples = "\n# BUILDINGS\n"
for item in ifc_file.by_type('IfcBuilding'):
triples+= "%s a bot:Building .\n" % (build_URI(item.GlobalId))
return triples
def classify_storeys(ifc_file):
triples = "\n# STOREYS\n"
for item in ... | NIRAS-MHRA/IFC2BOT | IFC2BOT/classify.py | classify.py | py | 842 | python | en | code | 6 | github-code | 90 |
2060289574 | from os.path import join as pathjoin
from .helper import mk_pca_dir, transform_ims_to_vecs
from dataset.load_dataset.data_generator import SkaterbotDataGenerator
from sklearn.decomposition import IncrementalPCA
from joblib import dump, load
""" constants """
window_size = 11.61
time_size = 100
freq_size = 108
transfor... | emvasilopoulos/ai_auto_dj | poi_detector/src/training_testing/pre_training/pca/fit_incremental_pca.py | fit_incremental_pca.py | py | 1,645 | python | en | code | 1 | github-code | 90 |
18326714279 | import math
N = int(input())
even = False
if N % 2 == 0:
even = True
factor1 = int(math.floor(N ** (1/2)))
# if even: # Nが偶数の時はfactor1を偶数にしておく
# if factor1 % 2 == 1:
# factor1 -= 1
# else:
# if factor1 % 2 == 0:
# factor1 -= 1
while True:
if N % factor1 == 0:
factor2 = int(... | Aasthaengg/IBMdataset | Python_codes/p02881/s248051463.py | s248051463.py | py | 436 | python | en | code | 0 | github-code | 90 |
18039024159 | S = input()[::-1]
W = ['dream','dreamer','erase','eraser']
i = 0
while i < len(S):
for w in W:
if S[i:i+len(w)] == w[::-1]:
i += len(w)
break
else:
print('NO')
exit()
print('YES') | Aasthaengg/IBMdataset | Python_codes/p03854/s882755798.py | s882755798.py | py | 235 | python | en | code | 0 | github-code | 90 |
29309109951 | from sqlalchemy import func, text
from sqlalchemy.orm import sessionmaker, aliased
from homework_blog_post.data import USERS, POSTS, COMMENTS, REACTIONS
from homework_blog_post.models import User, engine, Base, Post, Comment, Reaction
Session = sessionmaker(bind=engine)
session: Session = Session()
Base.metadata.crea... | milena-marcinik/Database-Programming_SDA | homework_blog_post/main.py | main.py | py | 5,343 | python | pl | code | 0 | github-code | 90 |
32040205079 | from flask import Flask
from flask import request
from flask import redirect, url_for, render_template, jsonify
from flask import after_this_request #For adding steps after a request
from flask import make_response #For adding custom headers
from flask_cors import CORS #This package makes Cross Origins Resource Sharing... | anthony-nguyen-04/Trading-Card-Simulator | python/flaskServer.py | flaskServer.py | py | 2,381 | python | en | code | 0 | github-code | 90 |
18532493899 | N = int(input())
ps = []
for i in range(N):
ps.append(int(input()))
memo = {}
for i,p in enumerate(ps):
memo[p] = 0
if p-1 in memo:
memo[p-1] = 1
dct = sorted(memo.items())
result = 0
c = 0
for k,v in dct:
if v == 1:
c += 1
else:
if c > result:
result = c
... | Aasthaengg/IBMdataset | Python_codes/p03346/s258305951.py | s258305951.py | py | 344 | python | en | code | 0 | github-code | 90 |
26120322160 | # Import tkinter module
from tkinter import *
from tkinter import ttk
import os # Import the module os
class fe: # define the part of the gui:fe
def __init__(self, root, srow, scol): # set initions
self.root = root
self.srow = srow
self.scol = scol
self.pd = os.getcwd() # Get the... | lkrkerry/My-AI | modules/gui/fe.py | fe.py | py | 1,044 | python | en | code | 0 | github-code | 90 |
37726332534 | from template import *
running = True
sound = Sound(1202,652)
byAaron = customTitle(113,678,60,'By Aaron')
exitButton = Button(LIGHT_RED,111,42,200,66,'Quit')
while running:
#Keep the loop running at the correct speed
clock.tick(FPS)
#input and events
for event in pygame.event.get():
... | AaronCohen21/Aarons-Game | menu.py | menu.py | py | 3,424 | python | en | code | 0 | github-code | 90 |
26810465868 | try:
# ignore ShapelyDeprecationWarning from fvcore
import warnings
from shapely.errors import ShapelyDeprecationWarning
warnings.filterwarnings('ignore', category=ShapelyDeprecationWarning)
except:
pass
import contextlib
import copy
import io
import itertools
import logging
import os
import shutil... | renwang435/video-ttt-release | train_ttt_mae.py | train_ttt_mae.py | py | 28,623 | python | en | code | 45 | github-code | 90 |
15976442365 | from copy import deepcopy
N, M, K = map(int, input().split())
board = [[0] * M for _ in range(N)]
def rotate(fig):
rotated_fig = [[0]* len(fig) for _ in range(len(fig[0]))]
for i in range(len(fig)): # Row
for j in range(len(fig[0])): # column
rotated_fig[j][i] = fig[len(fig)-i-1][j... | OnMyWave/Algorithm | Baekjoon/18808 : 스티커 붙이기.py | 18808 : 스티커 붙이기.py | py | 1,771 | python | en | code | 0 | github-code | 90 |
73910550055 | #!/usr/bin/python
# -*- coding:utf-8 -*-
__author__ = 'Ydface'
import pygame
try:
import pygame.mixer as mixer
except ImportError:
import android.mixer as mixer
import mypygame
import game_ui.mission_ui
import random
import gameresource
import label
import util.node
import gamestate
import bu... | ydface/pygame | battle.py | battle.py | py | 11,251 | python | en | code | 0 | github-code | 90 |
34322419988 | # coding=utf-8
import logging
from mongoengine import ValidationError
from zspider import models as zsm
from zspider.utils import models
__author__ = "zephor"
logger = logging.getLogger(__name__)
class CappedStorePipeLine(object):
def __init__(self, task_id):
self.task = models.Task.objects.get(id=tas... | Zephor5/zspider | zspider/pipelines/store.py | store.py | py | 831 | python | en | code | 6 | github-code | 90 |
2512489261 | from collections import deque
n = int(input())
arr = list(map(int, input().split()))
stack = []
result = [0] * n
for i in range(n-1, -1, -1):
while stack:
if stack[-1][0] <= arr[i]:
result[stack[-1][1]] = i+1
stack.pop()
else:
break
stack.append((arr.pop(), ... | 0dOj/0dOj_Algorithm | Python/2000~2999/2493.py | 2493.py | py | 339 | python | en | code | 0 | github-code | 90 |
25330893153 | def getNamefromConsole()->str:
name: str = None
while(name == None) or len(name) < 2:
print("adja meg a nevet: ")
name = str(input())
if(len(name) < 2):
print("nem megfelelo nev")
return name.strip().capitalize()
def color(s: str)->str:
value: int = len(s)
re... | zalulw/python | 09 - Függvények/Feladat 04/consoleIO.py | consoleIO.py | py | 372 | python | en | code | 0 | github-code | 90 |
25189318380 | import psutil
import time
import threading
def checkCPU():
cpuUsage=psutil.cpu_percent(interval=1)
print(cpuUsage)
return cpuUsage
def useCPU(interval=.000001):
while True:
time.sleep(interval)
checkCPU()
checkThread=threading.Thread(target=checkCPU)
checkThread.start()
useCPU()
useThread=threading.Thread(targ... | zatouichi/Test-Tools | cpuEater.py | cpuEater.py | py | 402 | python | en | code | 0 | github-code | 90 |
18147624839 | def main():
while True:
cards = input();
if cards == '-':
break
n = int(input())
for _ in range(n):
s = int(input())
cards = (cards*2)[s:s+len(cards)]
print(cards)
if __name__ == '__main__':
main()
| Aasthaengg/IBMdataset | Python_codes/p02420/s339918855.py | s339918855.py | py | 288 | python | en | code | 0 | github-code | 90 |
69995808938 |
from django import forms
from django.forms import DateInput, RadioSelect
from courseapp.models import Student, Course,Department
class StudentCreationForm(forms.ModelForm):
MATERIAL_CHOICES = (
('pen', 'Pen'),
('pencil', 'Pencil'),
('paper', 'Paper'),
('eraser', 'Eraser'),
... | sujiths44/storeproject | courseapp/forms.py | forms.py | py | 1,867 | python | en | code | 0 | github-code | 90 |
25859744552 | """
File: MemObj.py
Author: Edward Hanson (edward.t.hanson@duke.edu)
Desc: Memory object simulation. Parameters are initialized using integrated CACTI
"""
import os
import subprocess
import configparser as cp
class MemObj:
def __init__(self, config_path, num_ports, CACTI_path, config_fname, memstats_fn... | Rudedaisy/PhotonicAccelerator | MemObj.py | MemObj.py | py | 4,036 | python | en | code | 0 | github-code | 90 |
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