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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
9457059118 | """
1679. Max Number of K-Sum Pairs
You are given an integer array nums and an integer k.
In one operation, you can pick two numbers from the array whose sum equals k and remove them from the array.
Return the maximum number of operations you can perform on the array.
Example 1:
Input: nums = [1,2,3,4], k = 5
Outpu... | juliazakharik/ML_algorithms | algorithms/WEEK5/Max Number of K-Sum Pairs.py | Max Number of K-Sum Pairs.py | py | 1,261 | python | en | code | 1 | github-code | 36 |
26697753222 | # INPUTS
items_total = int(input("Enter the amount of items you are paying for: "))
first_item = 10.95
remaining_item = (items_total - 1 ) * 2.95
if items_total == 1 :
print("You have purchased 1 item and the shipping fee for this item is $" , first_item , ".")
elif items_total > 1 :
print("You have purchase... | ehan77/Wave-3 | shipping calculator.py | shipping calculator.py | py | 484 | python | en | code | 0 | github-code | 36 |
9791587429 | from django.shortcuts import render, redirect
from django.http import HttpResponse, JsonResponse
from django.views.decorators.csrf import csrf_exempt
from rest_framework.parsers import JSONParser
from task.models import Task, TaskImage
from apiApp.serializers import TaskSerializer, TaskImageSerializer
from rest_framewo... | osmangony01/DJango_task_RestAPI | apiApp/views.py | views.py | py | 2,133 | python | en | code | 0 | github-code | 36 |
42683425330 | from flask import Flask, Response, render_template
import os
from record_sound import RecordingVoice
import json
import pyaudio
from array import array
import time
import shutil
import numpy as np
from datetime import datetime
WAVE_PATH = 'data/waves'
app = Flask(__name__)
if not os.path.isdir(WAVE_PATH):
os.mak... | Maryia-M/MSI_Project | app.py | app.py | py | 2,460 | python | en | code | 0 | github-code | 36 |
8192799474 | # -*- utf-8 -*-
########################################
# PSF license aggrement for wsgiapp.py
# Developed by Ivan Rybko
# WSGIApp
########################################
import queue
from operator import concat
class WSGIApp:
def __init__(self, env, callback):
self.getqueue = queue.Queue()
... | irybko/pyclasses | wsgiapp.py | wsgiapp.py | py | 5,134 | python | en | code | 0 | github-code | 36 |
33168623479 | from numpy import *
import pandas as pd
def stumpClassify(dataMatrix,dimen,threshVal,threshIneq):
#按列数创造一个类别估计数组，初始值为1
retArr=ones((shape(dataMatrix)[0],1))
#第dimen列的值小于/大于threshVal置-1，分类准则
if threshIneq == 'lt':
retArr[dataMatrix[:,dimen]<=threshVal] = -1.0
else:
retArr... | Kwrrwytin/machine_learning_assignment | main.py | main.py | py | 10,564 | python | en | code | 0 | github-code | 36 |
20250127196 | # -*- coding: utf-8 -*-
# Не работали русские буквы
import sys
sys.path.append("/Users/a18826700/Library/Python/3.9/lib/python/site-packages")
import requests
import time
import datetime
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
import math
import random
import telebot
from... | sashka0264/data-science | 00_PYTHON/pynder.py | pynder.py | py | 7,214 | python | en | code | 1 | github-code | 36 |
27022624529 | import re
from itertools import zip_longest
from parso.python import tree
from jedi import debug
from jedi.inference.utils import PushBackIterator
from jedi.inference import analysis
from jedi.inference.lazy_value import LazyKnownValue, LazyKnownValues, \
LazyTreeValue, get_merged_lazy_value
from jedi.inference.n... | davidhalter/jedi | jedi/inference/arguments.py | arguments.py | py | 12,218 | python | en | code | 5,554 | github-code | 36 |
74307652262 | import numpy as np
import pandas as pd
import sklearn as skl
import matplotlib.pyplot as plt
plt.close('all')
import warnings
warnings.filterwarnings('ignore')
from sklearn.model_selection import train_test_split
from sklearn.model_selection import StratifiedKFold
from sklearn.model_selection import cross_val_predict
f... | elizabethwyss/EECS731MajorLeagues | src/src.py | src.py | py | 2,127 | python | en | code | 0 | github-code | 36 |
30981798805 | #!/usr/bin/env python
# <bitbar.title>Countdown</bitbar.title>
# <bitbar.version>v2.0</bitbar.version>
# <bitbar.author>Pere Albujer</bitbar.author>
# <bitbar.author.github>P4R</bitbar.author.github>
# <bitbar.desc>Shows countdown of established date.</bitbar.desc>
# <bitbar.image>https://cloud.githubusercontent.com/a... | damncabbage/dotfiles | macOS/BitBar/Plugins/Time/countdown.1s.py | countdown.1s.py | py | 3,243 | python | en | code | 3 | github-code | 36 |
24065781906 | import pytest
from tests.utils import asyncio_patch, AsyncioMagicMock
from gns3server.controller.gns3vm import GNS3VM
from gns3server.controller.gns3vm.gns3_vm_error import GNS3VMError
@pytest.fixture
def dummy_engine():
engine = AsyncioMagicMock()
engine.running = False
engine.ip_address = "vm.local"
... | vieyahn/docker-cisco-lab | gns3server/tests/controller/test_gns3vm.py | test_gns3vm.py | py | 2,760 | python | en | code | 0 | github-code | 36 |
12626750581 | # Python standard library
import sys
sys.path.append('./../pyqtgraph')
# Scipy
import matplotlib.backends.backend_qt4agg
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from matplotlib.patches import Polygon
from mpl_toolkits.basemap import Basemap
import numpy as np
# PyQt
import PyQt4.QtCore
import PyQt4... | tphinkle/sea_ice | qt_app/view/view.py | view.py | py | 14,067 | python | en | code | 0 | github-code | 36 |
34216650238 | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 13 10:33:10 2021
@author: Administrator
"""
import numpy as np
def find_bad_chans(SS):
if SS['bad_EMG_elecs'].size > 0:
SS['bad_EMG_chans'] = (np.any(np.transpose(SS['EMG_diff_matrix'])[SS['bad_EMG_elecs'],:], axis=0)
.nonzero(... | uuneuralengineeringlab/XipppyServer | COB_Python/feedbackdecode/find_bad_chans.py | find_bad_chans.py | py | 491 | python | en | code | 4 | github-code | 36 |
37405394997 | from regression_tests import *
class TestUpxshit(Test):
settings = TestSettings(
tool='unpacker',
input=[
'fact_rec.ex',
'pbmsrch_max.ex'
]
)
def test_scrambler_upxshit(self):
assert self.unpacker.succeeded
assert self.unpacker.output.contain... | avast/retdec-regression-tests | tools/unpacker/upx/scramblers/upxshit/test.py | test.py | py | 344 | python | en | code | 11 | github-code | 36 |
6172596021 | from Token import Token
from TokenType import TokenType
import re
token_type_dictionary = {
'KEY_WORD': TokenType('KEY_WORD', 'Var'),
'CONST': TokenType('CONST', '[0-9]*'),
'IDENTIFIER': TokenType('IDENTIFIER', '[a-zA-Z]*'),
'SEMICOLON': TokenType('SEMICOLON', ';'),
'COMMA': TokenType('COMMA', ',')... | qwertyjack12/python_translator_CS | Lexer.py | Lexer.py | py | 1,627 | python | en | code | 0 | github-code | 36 |
24377656 | mod = 1000000007
def pow(n, a):
if a == 1:
return n % mod
if a % 2 == 1:
b = pow(n, a//2)
return (b*b*n) % mod
b = pow(n, a//2)
return b*b
n, a = map(int, input().split())
b = pow(n, a+1)
c = pow(n-1, a)
ans = (n-2)*(b-c*n)+b
ans %= mod
print(ans) | kmgyu/baekJoonPractice | 2023 DPC Open Contest/F.py | F.py | py | 289 | python | es | code | 0 | github-code | 36 |
31324284158 | #!/usr/bin/python3
import sqlite3
from itertools import chain
conn = sqlite3.connect('vexdb.db')
curs = conn.cursor()
sql = 'INSERT INTO IRType(id, btype, nbits) VALUES (?,?,?)'
first=True
value=0;
with open('irtypes.lst') as f:
for line in f:
line = line.rstrip()
if first:
# Ity_INV... | EmmetCaulfield/valgrind | arinx/hacking/insert-irtypes.py | insert-irtypes.py | py | 664 | python | en | code | 0 | github-code | 36 |
4254763114 | """
Problem Statement
Given an array of unsorted numbers and a target number, find a triplet in the array whose sum is as close to the target number as possible, return the sum of the triplet. If there are more than one such triplet, return the sum of the triplet with the smallest sum.
Example 1:
Input: [-2, 0, 1, 2]... | blhwong/algos_py | grokking/two_pointers/triplet_sum_close_to_target/main.py | main.py | py | 1,307 | python | en | code | 0 | github-code | 36 |
11519350312 | # -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
from functools import wraps
import logging
from numbers import Number
from time import time
from types import FunctionType
from lab import B
from plum import Dispatcher, Self, Referentiable
__all__ = []
_dispatch = Dispatcher(... | pb593/stheno | stheno/util.py | util.py | py | 1,175 | python | en | code | null | github-code | 36 |
27551438109 | #!/usr/bin/env python3
import argparse
import dgl
import numpy as np
import pandas as pd
import pickle as pkl
import torch
import torch.nn.functional as F
import ipdb
from gnn.link_prediction import LinkPredictor, compute_lp_loss
from gnn.node_classification import NodeClassifier, NodeClassifierConv
# if torch.cuda... | EpistasisLab/qsar-gnn | main.py | main.py | py | 13,805 | python | en | code | 2 | github-code | 36 |
32006328277 | import Chat
import nltk
from nltk.corpus import wordnet as wn
#nltk.download()
#!/usr/bin/python
def getSynonyms(words):
synonyms = []
for word in words:
for s in wn.synsets(word):
for l in s.lemmas():
synonyms.append(l.name())
return set(synonyms)
# findPersonKeywo... | Ryanlys/310_A2 | PersonOrLocation.py | PersonOrLocation.py | py | 4,273 | python | en | code | 1 | github-code | 36 |
42229482357 | import torch
import torchvision.ops as tv
input_tensor = torch.rand(1000, 4)
scores = torch.rand(1000, 59)
#print(input_tensor)
#print(scores[1])
def NMS_cal(input_tensor, scores):
NMS_group = []
for i in range(59):
confidscore, _ = torch.max(scores, dim=1)
catargmax = torch.argmax(scores, di... | RasmusNylander/guacamole | filter_for_mAP.py | filter_for_mAP.py | py | 605 | python | en | code | 0 | github-code | 36 |
36156312492 | # coding:utf-8
"""
@author:hanmy
@file:ParaEsti_N.py
@time:2019/04/24
"""
import numpy as np
import matplotlib.pyplot as plt
from gmm import GMM
# 计算steps次参数估计的权重值的均值和方差
def pi_N(N, pi, mean_1, cov_1, mean_2, cov_2, steps):
gmm = GMM(N, pi, mean_1, cov_1, mean_2, cov_2)
pi_steps = np.zeros(shape=steps)
# ... | hanmy1021/NLP | gmm/ParaEsti_N.py | ParaEsti_N.py | py | 2,130 | python | en | code | 6 | github-code | 36 |
75186130022 | import argparse
import logging
import multiprocessing as mp
import os
import pytz
import shutil
from datetime import datetime
from lego_prover.env.chromas import ChromaBridge
from lego_prover.evolver import Evolver
from lego_prover.prover import Prover
import lego_prover.utils as U
from openai_key import *
parser = a... | wiio12/LEGO-Prover | run_multiprocess.py | run_multiprocess.py | py | 6,373 | python | en | code | 9 | github-code | 36 |
949939402 | pkgname = "fluidsynth"
pkgver = "2.3.4"
pkgrel = 0
build_style = "cmake"
configure_args = [
"-DLIB_SUFFIX=",
"-DDEFAULT_SOUNDFONT=/usr/share/soundfonts/default.sf2",
]
make_check_target = "check"
hostmakedepends = ["cmake", "ninja", "pkgconf"]
makedepends = [
"glib-devel",
"pipewire-devel",
"pipewir... | chimera-linux/cports | main/fluidsynth/template.py | template.py | py | 1,025 | python | en | code | 119 | github-code | 36 |
14312689350 | from django.urls import path
from .views import *
urlpatterns = [
path('test/', test, name="test"),
# HttpResponse--------------------------------------------------------------------
path('test-1/', TestViewClass_1.as_view(), name="TestViewClass_1"),
path('test-2/', TestViewClass_2.as_view(), name="Tes... | rakib1515hassan/Class-Base-View-Project | viewtest/urls.py | urls.py | py | 3,041 | python | en | code | 0 | github-code | 36 |
9145766841 | import os
import mysql.connector as mariadb
class dbConn(object):
"""description of class"""
ID_READY = 'Ready'
ID_READY_COD = '0'
ID_RUNNING = 'Running'
ID_RUNNING_COD = '1'
ID_PAUSED = 'Paused'
ID_PAUSED_COD = '2'
ID_FINISHED = 'Finished'
... | rchavesr/Bioinformatics | db.py | db.py | py | 4,017 | python | en | code | 0 | github-code | 36 |
29466618583 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
from pron91pkg import httputil
from bs4 import BeautifulSoup
from pron91pkg import disk
import requests
import shutil
import os
import time
from pron91pkg.FakeHeader import FakeHeader
# 1.get title
#2.get html5 m3u8
#3.download ts files from m3u8
#4.merge m3u8 to one fil... | Crazyalllife/pron91 | yezmw/yezmw.py | yezmw.py | py | 5,298 | python | en | code | 1 | github-code | 36 |
15476948155 | from __future__ import division, print_function, absolute_import
import pytest
from faker.providers import BaseProvider
from hypothesis import given
from hypothesis.strategytests import strategy_test_suite
from hypothesis.internal.debug import minimal
from hypothesis.extra.fakefactory import fake_factory
class Kitt... | LyleH/hypothesis-python_1 | tests/fakefactory/test_fake_factory.py | test_fake_factory.py | py | 2,163 | python | en | code | 1 | github-code | 36 |
41249727801 | #!/usr/bin/env python3
#-*- encoding: UTF-8 -*-
def main():
preco = float(input("Informe o preço da mercadoria: R$ "))
desconto = float(input("Percentual de desconto: "))
print("Preço original: R$ %.2f" %preco)
print("Desconto: R$ %.2f" %(preco * (desconto / 100)))
print("Preço final: R$ %.2f" %(pr... | luizfelipe1914/python4zumbis | Lista01/Q05.py | Q05.py | py | 397 | python | pt | code | 0 | github-code | 36 |
40885437398 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
# pylint: disable=no-name-in-module
from tensorflow.python.framework import tensor_shape
from tensorflow.python.keras.layers import Wrapper
from tensorflow.python.layers.convolutional im... | IntelLabs/nlp-architect | nlp_architect/models/temporal_convolutional_network.py | temporal_convolutional_network.py | py | 16,647 | python | en | code | 2,921 | github-code | 36 |
72692460583 | #!/usr/bin/env python3
# pyre-strict
import asyncio
import logging
import sys
from typing import Any, Union
import click
__version__ = "0.6.9"
LOG: logging.Logger = logging.getLogger(__name__)
def _handle_debug(
ctx: Union[click.core.Context, None],
param: Union[click.core.Option, click.core.Parameter, No... | cooperlees/base_clis | py/base_cli.py | base_cli.py | py | 1,315 | python | en | code | 2 | github-code | 36 |
18761978779 | # Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def addTwoNumbers(self, l1: Optional[ListNode], l2: Optional[ListNode]) -> Optional[ListNode]:
def iter(l1, l2, remain):
if l1 ==... | ToddIsland/Leetcode_JS | 1-10/2. Add Two Numbers.py | 2. Add Two Numbers.py | py | 664 | python | en | code | 0 | github-code | 36 |
33902538934 | #!/usr/bin/python
# -*- coding: utf-8 -*-
""" @brief Precision and Recall
@ref https://en.wikipedia.org/wiki/Precision_and_recall
Modified from https://github.com/lyst/lightfm and https://github.com/jfkirk/tensorrec
@author <ariel kalingking> akalingking@gmail.com """
import numpy as np
import p... | akalingking/RecSys | metrics.py | metrics.py | py | 1,793 | python | en | code | 1 | github-code | 36 |
13448911430 | import logging
import cv2
import numpy
from inquire.detection.ButtonState import ButtonState
from inquire.detection.RecognizedElement import RecognizedElement
try:
from robot.api.logger import info
robot_logger = True
except ImportError:
robot_logger = False
logging.basicConfig(level=logging.INFO)
... | Diyomee/Inquire | src/inquire/detection/TextElement.py | TextElement.py | py | 3,930 | python | en | code | 0 | github-code | 36 |
34095148316 | from selectivesearch import selective_search as ss
def selective_search(image):
"""A wrapper for the selective_search function in the selectivesearch
library with fixed parameters.
Returns a set of tuples (x, y, w, h) corresponding to candidate
locations of objects in the input image.
"""
reg... | jamesjiang52/Aperture | data/selective_search.py | selective_search.py | py | 677 | python | en | code | 0 | github-code | 36 |
74579468262 | from channels.auth import AuthMiddlewareStack
from channels.routing import ProtocolTypeRouter, URLRouter
import landing_page.routing
application = ProtocolTypeRouter({
# (http->django views is added by default)
'websocket': AuthMiddlewareStack(
URLRouter(
landing_page.routing.websoc... | gitsh1t/vetrina_test | sitotest/routing.py | routing.py | py | 422 | python | en | code | 0 | github-code | 36 |
40086649970 |
import os
import bpy
from mathutils import Vector
import numpy as np
import sys
sys.path.append('.')
from blender import BlenderWrapper
class BlenderHelper(BlenderWrapper):
def __init__(self):
super().__init__()
self.set_transparent_background()
self.set_image_size(1800, 1090)
##... | luca-morreale/blender_rendering3d | source/blender_helper.py | blender_helper.py | py | 5,728 | python | en | code | 0 | github-code | 36 |
34036888232 |
# Задание №7
import json
with open("lesson_5_hw_77.json", "w") as j_file:
with open("lesson_5_hw_7.txt", "r") as f_o:
subjects = {}
middle = {}
k, o = 0, 0
line = f_o.read().split("\n")
for i in line:
i = i.split()
profit = int(i[2]) - int(i[3])
... | TBidnik/python | practicum.py | practicum.py | py | 556 | python | en | code | 0 | github-code | 36 |
31371943053 | def plot_heat_tree(heatmap_file, tree_file, output_file=None):
'''
Plot heatmap next to a tree. The order of the heatmap **MUST** be the same,
as order of the leafs on the tree. The tree must be in the Newick format. If
*output_file* is specified, then heat-tree will be rendered as a PNG,
otherwise... | voidabhi/python-scripts | heat-map.py | heat-map.py | py | 2,563 | python | en | code | 1 | github-code | 36 |
74050045544 | from parlai.core.params import ParlaiParser
from parlai.agents.repeat_label.repeat_label import RepeatLabelAgent
from parlai.core.worlds import create_task
from parlai.utils.conversations import Conversations
from parlai.utils.misc import TimeLogger
import random
import tempfile
def setup_args():
"""
Set up c... | facebookresearch/ParlAI | parlai/crowdsourcing/tasks/acute_eval/dump_task_to_acute_format.py | dump_task_to_acute_format.py | py | 3,809 | python | en | code | 10,365 | github-code | 36 |
21365549144 | import torch
import numpy as np
from dptb.dataprocess.processor import Processor
from dptb.nnet.nntb import NNTB
from dptb.nnsktb.sknet import SKNet
from dptb.sktb.skIntegrals import SKIntegrals
from dptb.sktb.struct_skhs import SKHSLists
from dptb.hamiltonian.hamil_eig_sk_crt import HamilEig
from dptb.utils.constants... | deepmodeling/DeePTB | dptb/nnops/nnapi.py | nnapi.py | py | 12,168 | python | en | code | 21 | github-code | 36 |
11944953948 | # -*- coding: utf-8 -*-
"""
Created on Mon May 09 08:58:28 2016
@author: Jonatan
"""
from __future__ import division
from spider_plot_2 import *
def p2h_spider():
""" Make a spider plot where the different scenarios are compared
for different scenarios.
"""
d = Drawing(400, 400)
sp = SpiderC... | GersHub/P2HSweden | Power2Heat/Python/Modules/Plot/plot_spider_2.py | plot_spider_2.py | py | 708 | python | en | code | 0 | github-code | 36 |
30333812871 | import cv2
import numpy as np
img1 = cv2.imread('pratica02/cameraman.tif', cv2.IMREAD_UNCHANGED)
img2 = cv2.imread('pratica02/morangos.tif', cv2.IMREAD_UNCHANGED)
imgCinza = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
# python exibe em BGR => B=0 G=1 R=2
red2 = (img2[:, :, 2])
blue2 = (img2[:, :, 0])
green2 = (img2[:, :,... | Vicinius/digital-image-processing | pratica02/rgb-to-grayscale.py | rgb-to-grayscale.py | py | 1,072 | python | en | code | 0 | github-code | 36 |
31705158569 | from hx711 import HX711
from time import sleep, strftime
from datetime import datetime, timedelta
from datetime import timezone
from output import Output
import numpy
import os
import logging
fileRW = Output()
logger = logging.getLogger(__name__)
class sensor:
def __init__(self):
# Sets up scales
... | tech4nature/HogPi | app/weight.py | weight.py | py | 4,254 | python | en | code | 0 | github-code | 36 |
6273669923 | import os
from tests.e2e.terraform.alicloud.testing import _test_template
root = os.path.dirname(os.path.abspath(__file__))
tf_plan_path = os.path.join(root, "main.tfplan")
tpl = {
"ROSTemplateFormatVersion": "2015-09-01",
"Resources": {
"alicloud_ecs_activation.example": {
"Type": "ALIYU... | aliyun/alibabacloud-ros-tool-transformer | tests/e2e/terraform/alicloud/ecs_activation/test_template.py | test_template.py | py | 718 | python | en | code | 16 | github-code | 36 |
22041191064 | from matplotlib import pyplot as plt
import scipy.stats as spstats
from loomio import *
from socialchoice import *
from timeseries import *
legend_fontsize = 7
formats = ['.-', 's-']
markersizes = [9, 5]
class NetDelib(object):
def __init__(self):
self.plot_mean = False
def plot_errorbar(s... | elplatt/Exp-Net-Delib | experiments/NetDelib-002/analysis/netdelib.py | netdelib.py | py | 9,150 | python | en | code | 0 | github-code | 36 |
42154810648 | # 무인도 여행 BFS
from collections import deque
dirs = [(0, 1), (0, -1), (-1, 0), (1, 0)]
score = 0
def bfs(maps, visited, x, y):
global score
queue = deque()
queue.append((x, y))
visited[x][y] = 0
score = int(maps[x][y])
while queue:
x, y = queue.popleft()
for d in dirs:
... | FeelingXD/algorithm | programers/154540-2.py | 154540-2.py | py | 1,279 | python | en | code | 2 | github-code | 36 |
17093369252 | import itertools
N, M = map(int, input().split())
a = list(map(int, input().split()))
b = list(map(int, input().split()))
if (M != 0):
cd = [list(map(int, input().split())) for _ in range(M)]
else:
cd = list(list())
groups = list(list())
for i in range(1, N + 1):
conn_list = [item for item in cd if item[0... | kmdkuk/myAtCoder | acr106/b/main.py | main.py | py | 1,414 | python | en | code | 0 | github-code | 36 |
13495728190 | from flask import Flask
from flask_restful import Api
from helpers.crossdomain import *
from messenger_webhook import MessengerWebhook
application = Flask(__name__, template_folder='template', static_url_path='/static')
application.config.from_object(__name__)
application.config['SECRET_KEY'] = '1ex13eu103me91i-sdf'
a... | joshwolff1/cs238-final-project | application.py | application.py | py | 717 | python | en | code | 0 | github-code | 36 |
37360523175 | import glob
import re
import traceback
from pathlib import Path
from typing import List, Union
import fitz
import utils
from constants import cmd_output_path
from loguru import logger
def convert_to_image_pdf(doc_path: Union[str, List[str]], dpi: int = 300, page_range: str = "all", output_path: str = None):
try:
... | kevin2li/PDF-Guru | thirdparty/convert.py | convert.py | py | 11,219 | python | en | code | 941 | github-code | 36 |
73577908903 | import ROOT
from array import array
def buildMedianProfile(h):
"""build the median profile"""
medianGr = ROOT.TGraphAsymmErrors()
medianGr.SetName('{}_medianprof'.format(h.GetName()))
medianGr.SetLineWidth(2)
medianGr.SetMarkerStyle(20)
#median and 1 sigma quantiles
xq = array('d', [0.16,0... | bfonta/HGCal | HGCalMaskResolutionAna/python/RootTools.py | RootTools.py | py | 782 | python | en | code | 0 | github-code | 36 |
16486914039 | # 라이브러리
import sys
print(sys.argv)
sys.exit()
print(sys.path)
print(sys.path.append("C:/Users/user/Desktop/python/chap05"))
import pickle
f = open("test.txt", 'wb')
data = {1: 'python', 2: 'you need'}
pickle.dump(data, f)
f.close()
import pickle
f = open("test.txt", 'rb')
data = pickle.load(f)
print(data)
import... | polkmn222/python | chap05/exam11.py | exam11.py | py | 554 | python | en | code | 0 | github-code | 36 |
468491372 | import torch
from torch import nn
from torch.utils.data import Dataset, DataLoader
from ...base import device
class RandomDataset(Dataset):
def __init__(self, size, length):
self.len = length
self.data = torch.randn(length, size)
def __getitem__(self, index):
return self.data[index]
... | cdgyp/sparsity | codes/scripts/distributed/toy.py | toy.py | py | 1,620 | python | en | code | 0 | github-code | 36 |
70118450985 | from tkinter import Tk, StringVar, Label
def set_keysym(event):
keysym.set(event.keysym)
root = Tk()
root.bind('<Key>', set_keysym)
keysym = StringVar()
label = Label(root)
label.configure(textvariable=keysym)
label.pack()
root.mainloop()
| david-fong/tetris | keysym.py | keysym.py | py | 250 | python | en | code | 3 | github-code | 36 |
70727262185 | import boto3
import logging
import os
logger = logging.getLogger()
logger.setLevel(logging.INFO)
def str2bool(value):
return value.lower() in ("True",True,"False",False)
def lambda_handler(event, context):
torun = event['torun']
if torun == "true":
awsregion = os.environ['AWS_REGION']
... | AlphaITSystems/dbrefresh | awssoldb-orchestrator-pkg-cloudformation/functions/awssoldb-CreateInstance.py | awssoldb-CreateInstance.py | py | 7,794 | python | en | code | 0 | github-code | 36 |
19477973385 | from student import Student
from course import Course
from teacher import Teacher
import bisect
import pickle
# Opening students.dat to populate students[] -- if this throws an error for you, run initialize_data.py to fix it
with open("students.dat", "rb") as fp:
students = pickle.load(fp)
# Opening teachers.dat ... | nguyenk98/Software-Engineering-Project | testStudents.py | testStudents.py | py | 2,036 | python | en | code | 0 | github-code | 36 |
32468298278 | from django.conf.urls import url
from django.views.decorators.csrf import csrf_exempt
from rest_framework.routers import DefaultRouter
from users import views
from .views import UserViewSet, custom_auth_token
router = DefaultRouter()
router.register(r'users', UserViewSet)
urlpatterns = router.urls
urlpatterns += [
... | faradzh/medilix | medilix/users/urls.py | urls.py | py | 1,545 | python | en | code | 0 | github-code | 36 |
8195744930 | #!/usr/bin/env python
from time import gmtime, strftime
import platform
#import checks
TMP_DIR = 'tmp'
SMTP_TO = 'your@address.here'
SMTP_FROM = platform.node()
TIME = strftime('%Y-%m-%d %H:%M:%S', gmtime())
SUBJECT = dict()
SUBJECT['socket'] = 'ERROR connecting to %s:%s'
SUBJECT['url'] = 'ERROR getting URL %s'
SUBJ... | lsgd/me | snoopmon/config.py | config.py | py | 883 | python | en | code | 1 | github-code | 36 |
18891935528 | porcentajealto=0
porcentajeintermedio=0
porcentajebajo=0
precio_boleta=100
contador=0
while contador <10:
edad=float(input("Digite su edad: "))
if edad<5:
print("No puede entrar")
elif edad>=5 and edad <= 14:
print("Tienes un 35% de descuento")
descuento=0.35
porc... | ProfesionalKillr/Python | TallerQuiz/ejercicio5.py | ejercicio5.py | py | 1,135 | python | es | code | 0 | github-code | 36 |
43701305099 | from tkinter import *
from errorMessage import ErrorMessage
from asignarMedico import AsignarMedico
import connection as con
import customtkinter as ct
class IngresoMedico:
def __init__(self, parent):
self.parent = parent
self.win = Toplevel(parent)
self.win.title("Ingreso Medico")
... | angelcast2002/proyecto2_BD_python | ingresoMedico.py | ingresoMedico.py | py | 3,148 | python | es | code | 0 | github-code | 36 |
11671695671 | import argparse
class CommonArgParser(argparse.ArgumentParser):
def __init__(self):
super(CommonArgParser, self).__init__()
self.add_argument('--model_name', default='TransE',
choices=['TransE', 'TransE_l1', 'TransE_l2', 'TransR',
'RESCAL... | menjarleev/dgl-ke | python/dglke/util/argparser/common_argparser.py | common_argparser.py | py | 11,343 | python | en | code | null | github-code | 36 |
75075550182 | import torch
import numpy as np
from ..utils.decode import _nms, _topk, _topk_channel, _transpose_and_gather_feat
def multi_pose_decode(heat, wh, kps, reg=None, hm_hp=None, hp_offset=None, K=100):
batch, cat, height, width = heat.size()
num_joints = kps.shape[1] // 2
# heat = torch.sigmoid(heat)
# pe... | tteepe/CenterNet-pytorch-lightning | CenterNet/decode/multi_pose.py | multi_pose.py | py | 4,647 | python | en | code | 58 | github-code | 36 |
18652487774 | #!/usr/bin/python3
def exo6():
response = int(input("Please enter your number: "))
while response < 10 and response < 20:
print("ok")
if response < 10:
print("« Plus petit ! »")
elif response > 20:
print("« Plus grand ! »")
#exo6()
def exo10():
age = int(... | Blakimy/poei-python | semaine_python/script.py | script.py | py | 620 | python | en | code | 0 | github-code | 36 |
73118965864 | import os
import shutil
import time
def delete(path):
if os.path.exists(path):
while True:
for d_path, d_names, f_names in os.walk(path):
for f_name in f_names:
f_path = os.path.join(d_path, f_name)
if time.time() - os.path.getctime(f_pat... | IlyaOrlov/PythonCourse2.0_September23 | Practice/platonova/lec_9.3.py | lec_9.3.py | py | 764 | python | en | code | 2 | github-code | 36 |
72404328104 | class EqRelation:
def __init__(self, edges=()):
self.vertices = {}
self.count = 0
for a, b in edges:
self.add_edge(a, b)
def _query(self, key):
if key not in self.vertices:
self.vertices[key] = key
self.count += 1
return key
... | jorendorff/advent-of-code | 2018/25/part1.py | part1.py | py | 2,123 | python | en | code | 3 | github-code | 36 |
16472178151 | import argparse
import hashlib
import logging
import time
import spacy
import config
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
logger = logging.getLogger(__name__)
class MEDLINESpacySents:
def __init__(self, medline_abstracts, output_fname):
self.medli... | IBM/aihn-ucsd | amil/preprocess/_2_spacy_sents.py | _2_spacy_sents.py | py | 1,808 | python | en | code | 18 | github-code | 36 |
74494760743 | # -*- coding: utf-8 -*-
from selenium import webdriver
from lxml import etree
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from urllib.parse import quote
driver = webdriver.Chrome()
def get_list_pa... | xieys/webSpider | bossSpider/crawler.py | crawler.py | py | 2,342 | python | en | code | 0 | github-code | 36 |
28520967907 | # Opus/UrbanSim urban simulation software.
# Copyright (C) 2010-2011 University of California, Berkeley, 2005-2009 University of Washington
# See opus_core/LICENSE
from opus_core.variables.variable import Variable
from urbansim.functions import attribute_label
from variable_functions import my_attribute_label
... | psrc/urbansim | urbansim/gridcell/number_of_households.py | number_of_households.py | py | 1,751 | python | en | code | 4 | github-code | 36 |
10828915920 | import heapq
# 가장 낮은 스코빌지수가 K보다 크거나 같은 경우는 True
def check(h,K):
tmp = h[0]
if tmp >= K:
return True
return False
def solution(scoville, K):
answer = 0
h = []
for i in scoville:
heapq.heappush(h,i)
while check(h,K) == False: # 모든 지수를 스코빌지수로 만들기위해 반복 수행
if... | choijaehoon1/programmers_level | src/test25.py | test25.py | py | 836 | python | ko | code | 0 | github-code | 36 |
39930557336 | class Stack:
def __init__(self):
self.l = []
self.min = []
def Push(self, x):
self.l.append(x)
if len(self.min) == 0:
self.min.append(x)
else:
r = self.min[-1]
self.min.append(min(x, r)) ... | sociallyencrypted/CSE101 | Labs/Lab 11/MinimumStack.py | MinimumStack.py | py | 1,015 | python | en | code | 0 | github-code | 36 |
38904370760 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from sklearn import metrics
import math
from helpers import one_hot_embedding, get_device
from MutualInformation import MutualInformation
def relu_evidence(y):
return F.relu(y)
def calc_ece_softmax(softmax, label, bi... | Tom-Liii/PostNet-ESD | metrics.py | metrics.py | py | 5,593 | python | en | code | 0 | github-code | 36 |
70268090023 | import cv2
# import opencv
from PIL import Image,ImageFilter
from PIL import ImageEnhance
import matplotlib.image as mp
import os, sys
import http.client
import json
import ssl
import urllib.parse
from os.path import expanduser
#获取图片清晰度
def getImageVar(imgPath):
image = cv2.imread(imgPath);
img2gray = cv2.cvtCo... | YukiXueyan/faceUP | testPhoto.py | testPhoto.py | py | 3,156 | python | en | code | 0 | github-code | 36 |
11043698970 | import pytest
from RiceClassifier.config.configuration import (
ConfigurationManager, YAMLConfigReader, FilesystemDirectoryCreator
)
from RiceClassifier.components.prepare_base_model import (
BaseModelLoader, BaseModelUpdater, FullModelPreparer
)
from RiceClassifier.logger import logger
from RiceClassifier.pipe... | nasserml/End-To-End_Rice-Classification-Project | tests/test_RiceClassifier/test_pipeline/test_stage_02_prepare_base_model.py | test_stage_02_prepare_base_model.py | py | 2,303 | python | en | code | 0 | github-code | 36 |
74198666023 | """Example: Message instance conversion."""
from __future__ import annotations
import importlib
from typing import TYPE_CHECKING
import numpy
if TYPE_CHECKING:
from typing import Any
NATIVE_CLASSES: dict[str, Any] = {}
def to_native(msg: Any) -> Any: # noqa: ANN401
"""Convert rosbags message to native m... | cmrobotics/rosbags | docs/examples/use_with_native.py | use_with_native.py | py | 1,573 | python | en | code | 0 | github-code | 36 |
18913918053 | import string
class Solution:
def minDeletions(self, s: str) -> int:
result = 0
seen = {0}
for x in string.ascii_lowercase:
count = s.count(x)
while count and count in seen:
count -= 1
result += 1
seen.add(count)
... | lancelote/leetcode | src/minimum_deletions_to_make_character_frequencies_unique.py | minimum_deletions_to_make_character_frequencies_unique.py | py | 337 | python | en | code | 3 | github-code | 36 |
37900995282 | # -*- coding: utf-8 -*-
import scrapy
import re
from copy import deepcopy
from biquge.items import BiqugeIndexItem, BiqugeDetailsItem
class BookspiderSpider(scrapy.Spider):
name = 'bookspider'
allowed_domains = ['biquge.com.cn']
start_urls = [
'http://www.biquge.com.cn/xuanhuan/',
'http://w... | silenterofsea/silenter_read_story | 9999_some_tiny_program/biquge/biquge/spiders/bookspider.py | bookspider.py | py | 7,200 | python | en | code | 0 | github-code | 36 |
38450874328 | import numpy as np
import scipy
from scipy.linalg import expm, norm
def rotx(t):
"""Rotation about the y-axis."""
c = np.cos(t)
s = np.sin(t)
return np.array([[1, 0, 0],
[0, c, -s],
[0, s, c]])
def roty(t):
"""Rotation about the y-axis."""
c = np.cos... | MerveKarali/3d-object-part-segmentation-with-simclr | augmentations/augmentations.py | augmentations.py | py | 11,460 | python | en | code | null | github-code | 36 |
3383316091 | class ListNode:
def __init__(self, key=-1, val=-1, next=None):
self.key = key
self.val = val
self.next = next
class MyHashMap:
def __init__(self):
self.map = [ListNode() for i in range(1000)]
def hashcode(self, key):
return key % len(self.map)
def put(s... | neetcode-gh/leetcode | python/0706-design-hashmap.py | 0706-design-hashmap.py | py | 1,031 | python | en | code | 4,208 | github-code | 36 |
39603770665 | """
Module containing various functions I have found useful in assembling the feature vector.
"""
import numpy as np
def combine_as_max(vector1, vector2):
"""
Combine two vectors and return a vector that has the maximum values from each vector compared pairwise.
:param vector1: First list to compare
... | jeffharwell/viewpointdiversity | src/viewpointdiversitydetection/feature_vector_creation_utilities.py | feature_vector_creation_utilities.py | py | 6,076 | python | en | code | 0 | github-code | 36 |
72167501223 | #!/usr/bin/env python3
import sys
import subprocess
from pathlib import Path
from cv19 import CV19ROOT
def run_pylint():
"""
Run the Pylint test on the module and some other files in the repository.
Automatically ran on every pull request via GitHub actions.
"""
# Messages/warnings/errors to ena... | Queens-Physics/quaboom | test/linters/pylint.py | pylint.py | py | 1,985 | python | en | code | 4 | github-code | 36 |
16032798991 | from modeling.resnet import resnet50
import torch.nn as nn
import torch.nn.functional as F
import torch
class fpn_module(nn.Module):
def __init__(self, numClass):
super(fpn_module, self).__init__()
# Top layer
self.toplayer = nn.Conv2d(2048, 256, kernel_size=1, stride=1, padding=0) # Reduc... | ShenZheng2000/Semantic-Guided-Low-Light-Image-Enhancement | modeling/fpn.py | fpn.py | py | 5,489 | python | en | code | 76 | github-code | 36 |
15953309425 | import os
from typing import Dict
from aiohttp_retry import Any
from flask import Flask, request
from langchain import PromptTemplate
from twilio.twiml.messaging_response import MessagingResponse
import json
from langchain.llms import OpenAI
from langchain.memory import ConversationSummaryBufferMemory
from supabase i... | joseph-mcallister/motivate | flask-app/application.py | application.py | py | 2,603 | python | en | code | 0 | github-code | 36 |
7557787218 | import sys
import io
import os
import copy
def Run(input, output):
readline = io.BytesIO(
os.read(
input,
os.fstat(input).st_size
)
).readline
N = int(readline())
grass = [None for _ in range(N)]
for i in range(N):
grass[i] = [int(i) for i in readline().split()]
prefi... | chenant2017/USACO | Silver/2021 Feb/green.py | green.py | py | 1,137 | python | en | code | 2 | github-code | 36 |
18665423985 | """
Calculate L and T velocities from LL and LT backwalls.
Raises
------
IndefiniteVelocityError
Output
------
conf.d/30_block_velocities.yaml
velocity_L.png
velocity_T.png
"""
import logging
import numpy as np
import matplotlib.pyplot as plt
import arim
import arim.ray
from arim.im.das import lanczos_interpolation... | nbud/arimtoolkit | arimtoolkit/measure_velocities_from_timetraces.py | measure_velocities_from_timetraces.py | py | 6,801 | python | en | code | 0 | github-code | 36 |
27519507809 | from flask import Flask,render_template,request,redirect,url_for
import urllib
import urllib.request
from bs4 import BeautifulSoup
import os
import json
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('ggplot')
app = Flask(__name__)
app.secret_key="flash message"
@app.route('/')
d... | mousaa32/web-scrapping | expat-coinAfrique.py | expat-coinAfrique.py | py | 9,320 | python | en | code | 0 | github-code | 36 |
7024088458 | import customtkinter
class infoPage:
def __init__(self, frame, mainColor, secondColor, thirdColor, fourthColor, textColor, openConvertPage):
self.openConvertPage = openConvertPage
self.create_page(frame, mainColor, secondColor, thirdColor, fourthColor, textColor)
def create_page(self, frame, m... | LukaszButurla/xml-compiler-tkinter | ui/infoPage.py | infoPage.py | py | 1,717 | python | en | code | 0 | github-code | 36 |
12487239210 | """
Lists Advanced - Exercise
Check your code: https://judge.softuni.bg/Contests/Practice/Index/1731#1
SUPyF2 Lists-Advanced-Exercise - 02. Big Numbers Lover
Problem:
You really like big numbers, so you always find a way to form one from numbers given to you
You will receive a single line containing numbers s... | SimeonTsvetanov/Coding-Lessons | SoftUni Lessons/Python Development/Python Fundamentals September 2019/Problems And Files/16 EXERCISE LISTS ADVANCED - Дата 18-ти октомври, 1430 - 1730/02. Big Numbers Lover.py | 02. Big Numbers Lover.py | py | 685 | python | en | code | 9 | github-code | 36 |
43043002916 | import cv2
import numpy as np
import face_recognition
cap = cv2.VideoCapture(0)
success,imgUser = cap.read()
imgUser = cv2.cvtColor(imgUser, cv2.COLOR_BGR2RGB)
encodeUser = face_recognition.face_encodings(imgUser)
cap = cv2.VideoCapture(0)
while True:
success,img = cap.read()
imgS = cv2.resize(i... | SRA-V/Exam-Cheater | Cheater.py | Cheater.py | py | 1,623 | python | en | code | 1 | github-code | 36 |
21881706345 | """
Demonstrate a way to create URIs for tags in TiddlyWeb.
At the moment this only allows for GET.
"""
import urllib
from tiddlyweb.web.sendtiddlers import send_tiddlers
from tiddlyweb.model.bag import Bag
from tiddlyweb import control
def init(config_in):
config_in['selector'].add('/bags/{bag_name}/tags', GET... | tiddlyweb/tiddlyweb-plugins | tagview/tagview.py | tagview.py | py | 1,807 | python | en | code | 12 | github-code | 36 |
28613148826 | from PySide import QtCore, QtGui, QtNetwork
class FortuneThread(QtCore.QThread):
newFortune = QtCore.Signal(str)
error = QtCore.Signal(int, str)
def __init__(self, parent=None):
super(FortuneThread, self).__init__(parent)
self.quit = False
self.hostName = ''
self.cond = ... | pyside/Examples | examples/network/blockingfortuneclient.py | blockingfortuneclient.py | py | 5,953 | python | en | code | 357 | github-code | 36 |
3522846328 | """
希尔排序： 希尔排序是基于插入排序的。插入排序对于前面部分已经有序的复杂度很低，如果全是乱序的则性能差。
1. 以一定的间隔进行比较，交换
2. 缩小间隔继续比较，直到间隔为1.执行完结束
"""
def shell_sort(nums):
length = len(nums)
gap = length // 2
while gap:
for i in range(gap, length):
j = i
while j >= gap and nums[j-gap] > nums[j]:
nums[j-g... | CGdeepvoice/notes | 算法与数据结构/排序/shell_sort.py | shell_sort.py | py | 638 | python | zh | code | 0 | github-code | 36 |
39124528339 | import datetime
class Comment:
def __init__(self,game,userName,description):
self.userName = userName
self.game = game
self.date = str(datetime.datetime.now())
self.description = description
def dump(self):
return {
'name': self.userName,
'game': ... | eduardomep/SpartanStore-Server | Comment.py | Comment.py | py | 416 | python | en | code | 0 | github-code | 36 |
37350115657 | import numpy as np
import pytest
from ase.build import bulk
from gpaw import GPAW, PW, Mixer
from gpaw.mpi import world
@pytest.mark.stress
def test_pw_si_stress(in_tmp_dir):
xc = 'PBE'
si = bulk('Si')
si.calc = GPAW(mode=PW(200),
mixer=Mixer(0.7, 5, 50.0),
xc=xc,
... | f-fathurrahman/ffr-learns-gpaw | my_gpaw/test/pw/test_si_stress.py | test_si_stress.py | py | 1,105 | python | en | code | 0 | github-code | 36 |
1922570776 | from problem_000 import *
from prime import next_prime
class Problem_007(Problem):
def __init__(self):
self.problem_nr = 7
self.input_format = (InputType.NUMBER_INT, 1, 1000000)
self.default_input = 10001
self.description_str ='''By listing the first six prime numbers: 2, 3, 5, 7, ... | Kwasniok/ProjectEuler-Solver | src/problem_007.py | problem_007.py | py | 628 | python | en | code | 1 | github-code | 36 |
8248770144 | """Provides basic utilities to check status of Discord bot
ping() pings the bot and checks Discord latency, message latency and database latency
source() gets information on where to find source files and feedback server
clearMessages() deletes messages from the last 14 days from a channel
setAutoNicknames() true or f... | JoelLucaAdams/aberlink | src/AberLinkDiscord/cogs/utilities.py | utilities.py | py | 6,872 | python | en | code | 0 | github-code | 36 |
495566217 | import os
import time
import pytest
from dagster.core.engine.child_process_executor import (
ChildProcessCommand,
ChildProcessCrashException,
ChildProcessDoneEvent,
ChildProcessEvent,
ChildProcessStartEvent,
ChildProcessSystemErrorEvent,
execute_child_process_command,
)
class DoubleAStri... | helloworld/continuous-dagster | deploy/dagster_modules/dagster/dagster_tests/core_tests/engine_tests/test_child_process_executor.py | test_child_process_executor.py | py | 2,339 | python | en | code | 2 | github-code | 36 |
27916689067 | """
File: draw_line
Name:黃稚程 mike
-------------------------
This program uses gobject in campy to draw lines on window.
"""
from campy.graphics.gobjects import GOval, GLine
from campy.graphics.gwindow import GWindow
from campy.gui.events.mouse import onmouseclicked
# window is the canvas used to draw line
... | HuangChihCheng/stanCodeProjects | draw_line.py | draw_line.py | py | 2,159 | python | en | code | 0 | github-code | 36 |
36916000678 | import sys
import random
import osmnx as ox
from time import sleep
from direct.gui.DirectGui import DirectButton, DirectFrame
from direct.showbase.ShowBase import ShowBase
from direct.showbase.ShowBase import ShowBase
from panda3d.core import Geom, GeomNode, GeomVertexFormat, GeomVertexData, GeomTriangles, GeomLines... | stressatoo/OpenPandaMap | main.py | main.py | py | 12,224 | python | en | code | 0 | github-code | 36 |
25621121167 | # SOLUTION ONE
def is_pangram(s):
abc = list("abcdefghijklmnopqrstuvwxyz")
res = []
for c in abc:
res.append(s.lower().find(c))
return all(n != -1 for n in res)
# SOLUTION TWO
def is_pangram(s):
for c in "abcdefghijklmnopqrstuvwxyz":
if c not in s.lower():
return False... | kyle-pazdel/codewars | Python/detect_pangram.py | detect_pangram.py | py | 521 | python | en | code | 0 | github-code | 36 |
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