seq_id stringlengths 7 11 | text stringlengths 156 1.7M | repo_name stringlengths 7 125 | sub_path stringlengths 4 132 | file_name stringlengths 4 77 | file_ext stringclasses 6
values | file_size_in_byte int64 156 1.7M | program_lang stringclasses 1
value | lang stringclasses 38
values | doc_type stringclasses 1
value | stars int64 0 24.2k ⌀ | dataset stringclasses 1
value | pt stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
916481756 | # find the value that a given monkey will scream:
def solve_monkey(monkey, solved_monkeys, unsolved_monkeys):
if monkey in solved_monkeys:
return solved_monkeys[monkey]
monkey_math = unsolved_monkeys[monkey].split(' ')
left = solve_monkey(monkey_math[0], solved_monkeys, unsolved_monkeys)
right =... | UncatchableAlex/advent2022 | solutions/day21.py | day21.py | py | 3,622 | python | en | code | 0 | github-code | 6 |
72532883709 | import os
from pathlib import Path
import s4l_v1
import s4l_v1.analysis.viewers as viewers
import s4l_v1.document as document
import s4l_v1.model as model
import s4l_v1.simulation.emfdtd as fdtd
import s4l_v1.units as units
from dotenv import load_dotenv
from osparc_isolve_api import run_simulation
from s4l_v1._api.ap... | ITISFoundation/osparc-simcore | tests/public-api/examples/s4l_tutorial.py | s4l_tutorial.py | py | 3,834 | python | en | code | 35 | github-code | 6 |
33197235075 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import os
import sys
import glob
import pcraster as pcr
import raster_func
# set the clone map to the regional/local model
clone_map_filename = "/scratch-shared/edwinhs/colombia_model_results/head/l1_top/head_20000101_l1.idf.map"
pcr.setclone(clone_map_filename)
# start a... | edwinkost/groundwater_model_comparison | comparing_and_evaluating_maps/etc/compare_and_evaluate_not-finished.py | compare_and_evaluate_not-finished.py | py | 1,949 | python | en | code | 0 | github-code | 6 |
16813784584 | import os
import copy
from typing import Dict
import numpy as np
import torch
from collections import defaultdict
from hsp.algorithms.population.policy_pool import PolicyPool
from hsp.runner.shared.base_runner import make_trainer_policy_cls
from hsp.utils.shared_buffer import SharedReplayBuffer
from hsp.algorithms.popu... | samjia2000/HSP | hsp/algorithms/population/trainer_pool.py | trainer_pool.py | py | 15,925 | python | en | code | 15 | github-code | 6 |
38744507299 | import vidcap
import pygame
from baselines.ppo1.mlp_policy import MlpPolicy
from baselines.trpo_mpi import trpo_mpi
import gym
import monkeywars
import wrappers
import numpy as np
import time
import tensorflow as tf
from baselines import deepq
def main():
env = monkeywars.Monkeywars(graphic_mode=True)
w... | battuzz/RL_lab | monkeywars/enjoy_monkeywars.py | enjoy_monkeywars.py | py | 2,459 | python | en | code | 0 | github-code | 6 |
34839802828 | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 21 01:32:51 2021
@author: vidhy
"""
from fastapi import FastAPI, File, UploadFile, Request
import uvicorn
import numpy as np
from io import BytesIO
from PIL import Image
import requests
from starlette.middleware.cors import CORSMiddleware
from starlette.responses import ... | VidhyaGupta/Potato-Disease-Classification | api/main-tf-serving.py | main-tf-serving.py | py | 1,938 | python | en | code | 0 | github-code | 6 |
45135866644 | # code by : dev patel
# https://www.github.com/dev22419/
i = 0
while i <= 5:
x = input("enter a letter : ")
x.lower()
if x in ["a","e","i","o","u"]:
print("it is an vowel . ")
i = 6
else :
print("you entered an constant . ") | dev22419/msu | pro/python/a7/24.py | 24.py | py | 266 | python | en | code | 1 | github-code | 6 |
29546474630 | # Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def _new_id(self):
# get an id from auto-increment
self.cur_id += 1
return self.cur_id
def _... | HeliWang/upstream | Tree/BST/find-dup-subtree.py | find-dup-subtree.py | py | 1,870 | python | en | code | 0 | github-code | 6 |
8631033228 | import tkinter
DEFAULT_FONT = ('Helvetica', 14)
###################################################
############GAME OPTIONS CLASS#####################
###################################################
class GameOptions:
def __init__(self):
'''
initialises GameOptions
'''
... | bsmorton/Othello | othello_prompt.py | othello_prompt.py | py | 6,226 | python | en | code | 0 | github-code | 6 |
11782658861 | # -*- coding: utf-8 -*-
from random import randint
class StaticAnswers:
"""
collection of callable static/ semi-static strings
"""
def __init__(self, nick=""):
self.nickname = nick
self.helpfile = {
'help': '!help -- display this text',
'version': '!version domain.tld -- receive XMPP server version',
... | mightyBroccoli/xmpp-chatbot | common/strings.py | strings.py | py | 1,618 | python | en | code | 7 | github-code | 6 |
2026763119 | import hashlib
import os
import shutil
import zipfile
import numpy as np
def extract_aab(aab_file, extract_dir):
"""
解压aab文件到指定目录
:param aab_file: aab文件路径
:param extract_dir: 解压目录
"""
with zipfile.ZipFile(aab_file, 'r') as z:
print(extract_dir)
z.extractall(extract_dir)
def g... | Nienter/mypy | personal/aabcom.py | aabcom.py | py | 2,731 | python | zh | code | 0 | github-code | 6 |
40467524976 | def solution(e, starts):
num = [0 for _ in range(e+1)]
# end까지 개수 저장하기
for i in range(1, e+1):
for j in range(i, e+1):
idx = i * j
# j * k가 e보다 크다면 break
if idx > e:
break
# 숫자가 동일한 경우 1 증가
if i == j:
num[id... | Cho-El/coding-test-practice | 프로그래머스 문제/파이썬/연습문제/억억단을 외우자.py | 억억단을 외우자.py | py | 739 | python | ko | code | 0 | github-code | 6 |
9424927662 | APPNAME = "Aislinn"
VERSION = "0.0.1"
from waflib import Utils
BIN_FILES = [
"bin/aislinn",
"bin/aislinn-cc",
"bin/aislinn-c++",
"bin/mpicc",
"bin/mpicxx"
]
def options(ctx):
ctx.load("compiler_cc python")
def configure(ctx):
ctx.load("compiler_cc python")
if not ctx.env.CFLAGS:
... | spirali/aislinn | wscript | wscript | 638 | python | en | code | 10 | github-code | 6 | |
18680639270 | import collections
import torchvision.transforms as transforms
import os
import json
try:
from IPython import embed
except:
pass
_DATASETS = {}
Dataset = collections.namedtuple(
'Dataset', ['trainset', 'testset'])
def _add_dataset(dataset_fn):
_DATASETS[dataset_fn.__name__] = dataset_fn
return... | awslabs/aws-cv-task2vec | datasets.py | datasets.py | py | 12,841 | python | en | code | 96 | github-code | 6 |
1909072931 | from pprint import pprint
from config_loader import try_load_from_file
from hpOneView.oneview_client import OneViewClient
# To run this example fill the ip and the credentials bellow or use a configuration file
config = {
"ip": "<oneview_ip>",
"credentials": {
"userName": "<oneview_administrator_name>... | HewlettPackard/python-hpOneView | examples/uplink_sets.py | uplink_sets.py | py | 3,986 | python | en | code | 86 | github-code | 6 |
2000640644 | import webapp2
import jinja2
from google.appengine.api import users
from google.appengine.ext import ndb
import os
from snippets import Words
# from Tkinter import *
JINJA_ENVIRONMENT=jinja2.Environment(loader=jinja2.FileSystemLoader(os.path.dirname(__file__)),
extensions=['jinja2.ext.autoescape'],
autoescape=True
)
... | yolo117/Anagram-Checker | add.py | add.py | py | 5,784 | python | en | code | 0 | github-code | 6 |
24287696833 | def reachable(nums):
i = 0
while i < len(nums) - 1:
if nums[i] == 0:
return False
else:
i += nums[i]
if i == len(nums) - 1:
return True
return False
def main():
assert reachable([1, 3, 1, 2, 0.1])
assert not reachable([1, 2, 1, 0,... | ckallum/Daily-Coding-Problem | solutions/#192.py | #192.py | py | 365 | python | en | code | 0 | github-code | 6 |
19601208421 | import sublime
import sublime_plugin
import re
class Divideipv4segmentsCommand(sublime_plugin.TextCommand):
def run(self, edit):
full_select = sublime.Region(0, self.view.size())
splitted = self.view.split_by_newlines(full_select)
text_archive = []
for text_line in splitted:
text = self.view.substr(text_... | opendefinition/Threathunterspack | divideipv4segments.py | divideipv4segments.py | py | 864 | python | en | code | 0 | github-code | 6 |
6581285508 | from django.http import HttpResponse
from django.http import HttpResponse
import requests
from django.shortcuts import render
from django.views.decorators.csrf import csrf_exempt
import uuid
reference_id = uuid.uuid4()
def login(request):
url = "https://test.cashfree.com/api/v1/order/create"
pa... | Gunarjith/verceldeploy | masterlink/views.py | views.py | py | 1,350 | python | en | code | 0 | github-code | 6 |
29210359176 | import streamlit as st
from PIL import Image
import numpy as np
def app():
display = Image.open('./Attendance-management.jpg')
display = np.array(display)
st.image(display)
st.markdown(""" <style> .font {
font-size:20px ; font-family: 'Cooper Black'; text-align: center; color: #00000... | dest-royer02/Attendance_Application | pages/welcomePage.py | welcomePage.py | py | 468 | python | en | code | 1 | github-code | 6 |
38416857272 | from django.test import TestCase
from django.contrib.auth import get_user_model
from django.urls import reverse
from rest_framework import status
from rest_framework.test import APIClient
from core.models import *
from recipe.serializers import RecipeSerializer, RecipeDetailSerializer
RECIPE_URL = reverse('recipe:re... | deveshp530/recipe-app-api | app/recipe/tests/test_recipe.py | test_recipe.py | py | 6,459 | python | en | code | 0 | github-code | 6 |
43111552824 | from typing import Any, Dict, Iterable
import pandas as pd
from fugue import DataFrame, FugueWorkflow, PandasDataFrame, out_transform, transform
from fugue.constants import FUGUE_CONF_WORKFLOW_CHECKPOINT_PATH
def test_transform():
pdf = pd.DataFrame([[1, 10], [0, 0], [1, 1], [0, 20]], columns=["a", "b"])
d... | ofili/Wrangle-and-Analyze-Data | venv/Lib/site-packages/tests/fugue/test_interfaceless.py | test_interfaceless.py | py | 3,306 | python | en | code | 0 | github-code | 6 |
41348833415 | # Configuration file for the Sphinx documentation builder.
#
root_doc = 'index'
master_doc = 'index'
# For the full list of built-in configuration values, see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Project information ---------------------------------------------------... | aureliusenterprise/doc_technical_manual | DOc/docs/source/conf.py | conf.py | py | 1,408 | python | en | code | 0 | github-code | 6 |
8372518963 | import pycosat
from pprint import pprint
# number of cells in sudoku
NUM_CELLS = 81
# this can be used to interate all squares subset in 3x 3
# V V V
# 1 2 3 4 5 6 7 8 9
#> 1 |0 0 0| 0 0 0| 0 0 0|
# 2 |0 0 0| 0 0 0| 0 0 0|
# 3 |0 0 0| 0 0 0| 0 0 0|
# ---------------------
#> 4 |0 0 0| 0 0 0| 0 ... | macartur/programming_ai | sudoku.py | sudoku.py | py | 6,456 | python | en | code | 0 | github-code | 6 |
35430507994 | # HOHMANN GUI
# A GUI version of HOHMANN BASIC.
# Basic program to calculate a Hohmann transfer between two coplanar, circular orbits.
# The altitudes of the two orbits are defined by user input.
# ---------------------------------------------------
# Imports
from orbit_toolbox import hohmann, Transfer
from bodies_too... | weasdown/orbit-toolbox | Hohmann_GUI.py | Hohmann_GUI.py | py | 2,090 | python | en | code | 0 | github-code | 6 |
18481259162 | import time
from roman_integer import Roman
def check_for_higher_numerals(numeral):
if "_I_V" in numeral:
numeral = numeral.replace("_I_V", "MMMM")
return numeral
if __name__ == "__main__":
start = time.time()
roman = Roman()
numerals = [i.strip()
for i in open("Data/p089_roman.txt").rea... | BreadBug007/Project-Euler | Prob_89.py | Prob_89.py | py | 857 | python | en | code | 0 | github-code | 6 |
25950565947 | import sys
import fileinput
import csv
import operator
import numpy as np
import scipy.spatial.distance as sd
import pickle
#python compare_google.py [google_match-norm] [avg-$count-norm] states.p statescores$count
google = []
matrix = []
infile = sys.argv[2]
google_reader = csv.reader(open(sys.argv[1], 'rb'), deli... | kris-samala/LBSN | data_analysis/compare_states.py | compare_states.py | py | 1,233 | python | en | code | 2 | github-code | 6 |
11816060482 | import numpy as np
import torch
with open("pdtSEIKA.csv", "r") as f:
f_reader = np.loadtxt(f, delimiter=',', dtype=np.float32)
predict = f_reader
f.close()
tensor = torch.from_numpy(np.load(r"C:\Users\cchen\PycharmProjects\LearnPyTorch/K05_excluded_xyz.npy")) # 101778,
# 15,10,10
with open("ai__K05_SEIKA... | cchenyixuan/Banira | utils/predict_map.py | predict_map.py | py | 545 | python | en | code | 0 | github-code | 6 |
72580436348 | from fastapi import FastAPI
from pydantic import BaseModel
from fastapi.middleware.cors import CORSMiddleware
from reconocer_form import analyze_general_documents
from base_datos import crear_registro
import asyncio
app = FastAPI()
origins = ["*"]
app.add_middleware(
CORSMiddleware,
allow_origins=origins,
... | jefryne/web_placas | ia/detectar documento/api.py | api.py | py | 898 | python | es | code | 0 | github-code | 6 |
18882639437 | #! /usr/bin/env python3
import sys
import json
from flask import Flask, request
app = Flask(__name__)
def is_browser(ua_string):
return ua_string.split('/')[0].lower() == 'mozilla'
@app.route("/")
def hello():
msg_content = "Hello World!"
if is_browser(request.headers['User-Agent']):
return "... | glennneiger/estate-backend | example/simple.py | simple.py | py | 770 | python | en | code | 0 | github-code | 6 |
71737201468 | from typing import List
from project.appliances.appliance import Appliance
from project.people.child import Child
class Room:
def __init__(self, name: str, budget: float, members_count: int):
self.family_name = name
self.budget = budget
self.members_count = members_count
self.chi... | tonytech83/Python-OOP | OOP_Exams/11_OOP_22_Aug_2020/hotel_everland/project/rooms/room.py | room.py | py | 1,573 | python | en | code | 4 | github-code | 6 |
74291021627 | import math
import numpy as np
from scipy.spatial import ConvexHull
class LOS_guidance():
def __init__(self, params):
self.ship_max_speed = params['ship_max_speed']
self.ship_ax_vel_lim = params['ship_ax_vel_lim']
self.ship_lat_acc_pos_lim = params['ship_lat_acc_pos_lim']
self.ship_... | spacedoge2320/Ship-OA-sim | Ship-OA-sim/Guidance_algorithms.py | Guidance_algorithms.py | py | 28,641 | python | en | code | 0 | github-code | 6 |
8784244942 | import os
from django.conf import settings
from django.contrib import messages
from django.contrib.auth import logout
from django.contrib.auth.mixins import LoginRequiredMixin
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import redirect, render
from django.urls import reverse, revers... | simranmadhok/Venter_CMS | Venter/views.py | views.py | py | 9,673 | python | en | code | 0 | github-code | 6 |
20867652240 | from vizasm.analysis.asm.cpu.AsmRegEx import AsmRegEx
class AsmRegEx_arm(AsmRegEx):
'''
Contains regular expressions (mostly in verbose mode) used for analyzing the assembler file on the arm architecture.
Parameters
----------
RE_IVAR
match e.g. "IVAR_0x291c"
RE_CLASSR... | nachtmaar/vizasm | vizasm/analysis/asm/cpu/arm/AsmRegEx_arm.py | AsmRegEx_arm.py | py | 7,381 | python | en | code | 0 | github-code | 6 |
38907524035 | """Create category
Revision ID: bc8fb2b5aaaa
Revises: cf3388347129
Create Date: 2023-05-06 09:44:36.431462
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'bc8fb2b5aaaa'
down_revision = 'cf3388347129'
branch_labels = None
depends_on = None
def upgrade() -> No... | rasimatics/excursio-backend | migrations/versions/bc8fb2b5aaaa_create_category.py | bc8fb2b5aaaa_create_category.py | py | 1,266 | python | en | code | 1 | github-code | 6 |
14052300522 | # vim set fileencoding=utf-8
from setuptools import setup
with open('README.rst') as f:
long_description = f.read()
setup(
name = 'AnthraxEplasty',
version = '0.0.3',
author = 'Szymon Pyżalski',
author_email = 'zefciu <szymon@pythonista.net>',
description = 'Anthrax - generating forms from Elep... | zefciu/anthrax-eplasty | setup.py | setup.py | py | 1,242 | python | en | code | 0 | github-code | 6 |
11838557066 | import pickle
import os
import sys
import numpy as np
import json_tricks as json
import cv2
import torch
import copy
import random
import torchvision.transforms as transforms
from glob import glob
from tqdm import tqdm
from PIL import Image
from natsort import natsorted
import matplotlib.pyplot as plt
from scipy.spati... | Qingwei-Li98/PoseEstimation | core/utils/infant_dataset.py | infant_dataset.py | py | 8,713 | python | en | code | 0 | github-code | 6 |
73652411389 |
# 给你一个正整数 n ，返回 2 和 n 的最小公倍数（正整数）。
class Solution(object):
def smallestEvenMultiple(self, n):
"""
:type n: int
:rtype: int
"""
if n % 2 != 0:
return 2 * n
else:
return n
n = 5
a = Solution()
print(a.smallestEvenMultiple(n)) | xxxxlc/leetcode | competition/单周赛/311/smallestEvenMultiple.py | smallestEvenMultiple.py | py | 359 | python | zh | code | 0 | github-code | 6 |
30364500871 | import sys
import mock
import six
from okonomiyaki.errors import InvalidMetadataField
from ..python_implementation import PythonABI, PythonImplementation
from hypothesis import given
from hypothesis.strategies import sampled_from
if sys.version_info < (2, 7):
import unittest2 as unittest
else:
import unitt... | enthought/okonomiyaki | okonomiyaki/platforms/tests/test_python_implementation.py | test_python_implementation.py | py | 4,083 | python | en | code | 2 | github-code | 6 |
33548298905 | import sys
import argparse
import tensorflow as tf
from keras.models import Model, load_model
from keras.layers import TimeDistributed, Conv1D, Dense, Embedding, Input, Dropout, LSTM, Bidirectional, MaxPooling1D, \
Flatten, concatenate
from keras.initializers import RandomUniform
from keras.callbacks import EarlySt... | guardiaum/DeepEx | CNN_BLSTM_fit_hyperparams.py | CNN_BLSTM_fit_hyperparams.py | py | 6,299 | python | en | code | 1 | github-code | 6 |
27054375172 | import numpy as np
import pandas as pd
import config
import sys
import tensorflow as tf
from keras import Sequential
from keras.layers import Dense
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error
from service.Preprocess import Preprocess
from service.FeatureEngineer... | kalinVn/new_york_city_taxi_fare_predicton | service/TaxiFaresPredictionNYC.py | TaxiFaresPredictionNYC.py | py | 2,573 | python | en | code | 0 | github-code | 6 |
32989650417 | from flask_wtf import FlaskForm
from wtforms import StringField, IntegerField, SelectField
from wtforms.validators import InputRequired, Optional
sizes = ['XS','S', 'M', 'L', 'XL']
ratings = [1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5,
6.0, 6.5, 7.0, 7.5, 8.0, 8.5, 9.0, 9.5, 10.0]
class AddCupcakeFo... | BradButler96/flask-cupcakes | forms.py | forms.py | py | 825 | python | en | code | 0 | github-code | 6 |
24287653793 | from random import random
import bisect
def get_new_state(current_state, transitions):
transition_map = dict()
for source, target, probability in transitions:
if source not in transition_map:
transition_map[source] = ([], [])
if not transition_map[source][0]:
transition... | ckallum/Daily-Coding-Problem | solutions/#175.py | #175.py | py | 1,406 | python | en | code | 0 | github-code | 6 |
71375478588 | # Import the utils
import math
import sys
import os
sys.path.append(os.path.abspath('../QUtils'))
from qutils import pprint, graph
# Import the QISKit SDK
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import execute
# Create a Quantum Register with 2 qubits.
q = QuantumRegister(3)... | maddy-tod/quantum | Code/MonteCarlo/NormalTest.py | NormalTest.py | py | 1,675 | python | en | code | 3 | github-code | 6 |
27673629381 | import numpy as np
import math
import cv2
#input hsvColor:[h,s,v], ranges between (0-180, 0-255, 0-255)
#and output true hsvColor:[h,s,v]
def get_right_V(hsvColor):
h = float(hsvColor[0])
s = float(hsvColor[1])
s1 = float(hsvColor[1])/255
v1 = float(hsvColor[2])
h60 = h / 60.0
h60f ... | zznewclear13/Gradient_Colorizing_Fix | Gradient_Colorzing_Fix.py | Gradient_Colorzing_Fix.py | py | 1,205 | python | en | code | 0 | github-code | 6 |
35914525125 | class Solution:
def longestCommonPrefix(self, strs: List[str]) -> str:
longest=""
i=1
j=0
if strs==[""]:
return ""
elif strs==["a"]:
return "a"
shortestword=10000
for word in strs:
if len(word) < shortestword:
... | azbluem/LeetCode-Solutions | solutions/14.longest-common-prefix.py | 14.longest-common-prefix.py | py | 1,401 | python | en | code | 0 | github-code | 6 |
16540523617 | import os
import sys
from nuitka.utils.FileOperations import (
areSamePaths,
isFilenameBelowPath,
isFilenameSameAsOrBelowPath,
)
from nuitka.utils.Utils import (
isAndroidBasedLinux,
isFedoraBasedLinux,
isLinux,
isMacOS,
isPosixWindows,
isWin32Windows,
withNoDeprecationWarning,
... | Nuitka/Nuitka | nuitka/PythonFlavors.py | PythonFlavors.py | py | 6,933 | python | en | code | 10,019 | github-code | 6 |
39972780174 | #!/usr/bin/env python3
# ------------------------------------------------------------------------
# MIDI Control for SignalFlow
# ------------------------------------------------------------------------
from signalflow import *
import configparser
import logging
import mido
import os
logger = logging.getLogger(__name... | ideoforms/signalflow | auxiliary/libs/signalflow_midi/signalflow_midi.py | signalflow_midi.py | py | 6,131 | python | en | code | 138 | github-code | 6 |
36208434520 | import multiDownload as dl
import pandas as pd
import sqlite3
import json
import os
from datetime import datetime, timedelta
import shutil
import argparse
import jieba
from jieba import analyse
from wordcloud import WordCloud
from opencc import OpenCC
import requests
import emoji
with open("scripts/config.json", "r") ... | arthurfsy2/Postcrossing_map_generator | scripts/createPersonalPage.py | createPersonalPage.py | py | 15,829 | python | en | code | 0 | github-code | 6 |
10380773430 | import torch.nn as nn
from ..builder import BACKBONES
from .base_backbone import BaseBackbone
@BACKBONES.register_module()
class RMNet(BaseBackbone):
def __init__(self, depth,frozen_stages=-1):
super(RMNet, self).__init__()
self.frozen_stages = frozen_stages
self.conv1 = nn.Conv2d(3, 64, ker... | fxmeng/mmclassification | mmcls/models/backbones/rmnet.py | rmnet.py | py | 2,851 | python | en | code | null | github-code | 6 |
35228257702 | #!/usr/bin/env python
"""Visualisation.py: Visualise data from simulation"""
__author__ = "Murray Ireland"
__email__ = "murray@craftprospect.com"
__date__ = "22/10/2018"
__copyright__ = "Copyright 2017 Craft Prospect Ltd"
__licence___ = ""
import vtk
import numpy as np
from math import tan, sin, cos, atan, pi
# impo... | Craft-Prospect/CubeSatVis | python/visualisation.py | visualisation.py | py | 24,867 | python | en | code | 2 | github-code | 6 |
655237097 | import os
from glob import glob
import numpy as np
import pandas as pd
try:
import imageio.v2 as imageio
except ImportError:
import imageio
from tqdm import tqdm
from xarray import DataArray
from elf.evaluation import dice_score
def run_prediction(input_folder, output_folder):
import bioimageio.core
... | constantinpape/torch-em | experiments/unet-segmentation/livecell/check_cell_type_performance.py | check_cell_type_performance.py | py | 2,148 | python | en | code | 42 | github-code | 6 |
72609945147 | import requests
from parsel import Selector
url='http://www.porters.vip/verify/uas/index.html'
# headers = {
# 'User-Agent': 'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.3'}
headers = {'User-Agent': 'PostmanRuntime/7.26.2',
'Host': 'www.porters.vip'... | 0xdeciverAngel/anti-web-crawler | user agent.py | user agent.py | py | 569 | python | en | code | 0 | github-code | 6 |
43193724256 | # -*- coding: utf-8 -*-
import streamlit as st
from topics import TopicModel
import pandas as pd
import numpy as np
from scipy.optimize import linear_sum_assignment
import matplotlib.pyplot as plt
import base64
@st.cache(allow_output_mutation=True)
def load_corpus(url):
return tm.load_corpus(url)
# check the cach... | michaelweiss/topic-model-explorer | old/topic_model_explorer_stability.py | topic_model_explorer_stability.py | py | 8,264 | python | en | code | 2 | github-code | 6 |
36264192726 | from PyQt5.QtCore import QModelIndex, pyqtSignal, pyqtSlot, QVariant, QFile, QByteArray, QBuffer, QIODevice, QSize, \
QItemSelectionModel, QItemSelection
from PyQt5.QtGui import QPixmap, QFont, QIcon
from PyQt5.QtSql import QSqlQuery
from PyQt5.QtWidgets import QWidget, QApplication, QLabel, QDialog, QMessageBox
f... | drug173/Python | applications/Tree1/widget1.py | widget1.py | py | 13,903 | python | ru | code | 0 | github-code | 6 |
19621184365 | #import libraries
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
"""
This tutorial from the AI at UCLA's technical blog post:
https://uclaacmai.github.io/Linear-Regression
"""
testlines = []
testans = []
trainlines = []
trainans = []
for line in open("boston2.txt", 'r').readlines()[0:100]... | canders1/COMSC343 | _site/pdf/regression_class.py | regression_class.py | py | 1,961 | python | en | code | 0 | github-code | 6 |
16543939917 | import functools
def makeTable(grid):
"""Create a REST table."""
def makeSeparator(num_cols, col_width, header_flag):
if header_flag == 1:
return num_cols * ("+" + (col_width) * "=") + "+\n"
else:
return num_cols * ("+" + (col_width) * "-") + "+\n"
def normalizeCe... | Nuitka/Nuitka | nuitka/utils/Rest.py | Rest.py | py | 927 | python | en | code | 10,019 | github-code | 6 |
75189166908 | import pygame, threading
pygame.init()
white = (255, 255, 255)
green = (0, 255, 0)
blue = (0, 0, 128)
X = 400
Y = 400
display_surface = pygame.display.set_mode((X, Y ))
pygame.display.set_caption('Show Text')
font = pygame.font.Font('freesansbold.ttf', 32)
text = font.render('GeeksForGeeks', True, green, blue) ... | ger534/Proyecto2Arqui2 | examplePygame.py | examplePygame.py | py | 779 | python | en | code | 0 | github-code | 6 |
6497432832 | from stock_util import StockUtil
from logger import Logger
from stock_db import StockDb
import time
import threading
import requests
from pandas import DataFrame
import pandas as pd
class StockMon():
def __init__(self):
self.logger = Logger("StockMon")
self.util = StockUtil()
def... | jia-zhang/fp-client | lib/stock_mon.py | stock_mon.py | py | 9,923 | python | en | code | 0 | github-code | 6 |
3477657730 | import logging
import posixpath
from collections import defaultdict
from typing import TYPE_CHECKING, Callable, Dict, Generator, Optional, Tuple
from ...stash import ExpStashEntry
from ..base import BaseExecutor
from ..ssh import SSHExecutor, _sshfs
from .base import BaseExecutorManager
if TYPE_CHECKING:
from scm... | gshanko125298/Prompt-Engineering-In-context-learning-with-GPT-3-and-LLMs | myenve/Lib/site-packages/dvc/repo/experiments/executor/manager/ssh.py | ssh.py | py | 3,336 | python | en | code | 3 | github-code | 6 |
11557761416 | import sys
from classes import *
import pprint
import os
# system keword 에 대한 dfa를 자동생성한다.
def make_system_dfa(name, keyword):
digit = "1234567890"
char = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ"
length = len(keyword)
dfa = Dfa(name)
dfa.set_final_states([length])
for i in range... | pula39/compiler_assignment1 | lexical.py | lexical.py | py | 8,178 | python | en | code | 0 | github-code | 6 |
5073225846 | import asyncio
import logging
import aiohttp
import aiohttp.server
logger = logging.getLogger(__name__)
class ProxyRequestHandler(aiohttp.server.ServerHttpProtocol):
"""
Inspired by https://github.com/jmehnle/aiohttpproxy
Copyright Julian Mehnle, Apache License 2.0
"""
def __init__(self):
... | raphaelm/cockatiel | functional_tests/utils_proxy.py | utils_proxy.py | py | 2,602 | python | en | code | 4 | github-code | 6 |
41058208626 | import re
class Poly:
def __init__(self,*terms):
# __str__ uses the name self.terms for the dictionary of terms
# So __init__ should build this dictionary from terms
self.terms = {}
for coeff,power in terms:
assert type(coeff) in [int,float]
as... | solomc1/python | ics 33/solutions/ile2 solutions/Lab 1/ZhongAaron/poly.py | poly.py | py | 4,707 | python | en | code | 0 | github-code | 6 |
70911492987 | print('zohair hashmi - 18b-127-cs - Section A')
print('Practice Problem - 3.39')
def collision(x1,y1,r1,x2,y2,r2):
import math
c_diff = ((x2-x1)**2+(y2-y1)**2)
if c_diff <= (r1+r2)**2:
return True
else:
return False
x1 = collision(0,1,2,3,2,2)
print(x1)
x2 = collision(2,5,... | zohairhashmi17/Programming-Fundamentals-Detailed-Assignment | 3.39.py | 3.39.py | py | 347 | python | en | code | 0 | github-code | 6 |
41495871576 | from rdkit import Chem
import argparse
import math
import os
from sklearn.metrics import mean_squared_error, r2_score
from statistics import stdev
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Calculate the RMSD value for a molecular property.')
parser.add_argument('--original', '-o'... | sophiahoenig/NetworkBalanceScaling | utils/evaluate_results.py | evaluate_results.py | py | 6,038 | python | en | code | 0 | github-code | 6 |
32500175374 | from random import randint
"""
כתבו תוכנית הבוחרת באקראי מספר בין 1 ל-100. על המשתמש לנחש את המספר שנבחר ואחרי כל ניחוש יש להדפיס ״גדול מדי״ או ״קטן מדי״ לפי היחס בין המספר שנבחר לניחוש.
בונוס: כדי שיהיה מעניין דאגו שמדי פעם התוכנית תדפיס את ההודעה הלא נכונה.
"""
def check_user_input(user_number):
number = ra... | eehud738/python- | Section 2/HW6.py | HW6.py | py | 1,025 | python | he | code | 0 | github-code | 6 |
8834313838 | import mysql.connector
from mysql.connector import Error
class MySQL:
def __init__(self, host='localhost', database=None, user=None, password=None):
if database == None:
return print("Please, enter your Database name!")
elif user == None:
return print("Please, enter your user name!"... | drigols/studies | modules/python-codes/modules/mysql/modules/exercises/hospital/hospital/database.py | database.py | py | 3,910 | python | en | code | 0 | github-code | 6 |
30543923938 | import sys
import numpy as np
import torch
from tqdm import tqdm
import matplotlib.pyplot as plt
from Preprocessor import Preprocessor
"""
Dataset Snapshot:
Dataset A:
Normal
Murmur
Extra Heart Sound
Artifact
Dataset B:
Normal
Murmur
Extrasystole
"""
class PASCAL(Preprocessor):
def... | kendreaditya/heart-auscultation | src/preprocess/PASCAL-dataset.py | PASCAL-dataset.py | py | 2,173 | python | en | code | 2 | github-code | 6 |
75189172348 | import threading, time
#REGISTROS ESCALARES
Scalar_Reg = [ "FUC1K", "", "11110000", "00001111", "0000000A" ]
#REGISTROS VECTORIALES
Vector_Reg = [ ["0", "", "", "","", "", "", ""], ["1", "", "", "","", "", "", ""], ["2", "", "", "","", "", "", ""], ["3", "", "", "","", "", "", ""], ["4", "", "", "","", "", "", ""] ]... | ger534/Proyecto2Arqui2 | procesador/REG_BANK.py | REG_BANK.py | py | 2,353 | python | en | code | 0 | github-code | 6 |
32469600718 | class Solution:
def findJudge(self, n: int, trust: List[List[int]]) -> int:
trust_counts = defaultdict(lambda: [0,0])
for truster, trusted in trust:
trust_counts[truster][0] += 1
trust_counts[trusted][1] += 1
candidates = [person for person in ra... | MdAbedin/leetcode | 0901 - 1000/0997 Find the Town Judge.py | 0997 Find the Town Judge.py | py | 437 | python | en | code | 7 | github-code | 6 |
26948867994 | # Python for Everyone
# Chapter 3 exercise 2
try:
hrs = float(input('Enter Hours: '))
rate = float(input('Enter Rate: '))
except:
print("Please enter a number")
quit()
if hrs <= 40:
# no overtime
pay = rate * hrs
else:
# calculate overtime
pay = (hrs - 40) * rate * 1.5 + 40 * rate
print... | dansdevelopments/py4e | py4e/chapter03/ex03_02.py | ex03_02.py | py | 334 | python | en | code | 0 | github-code | 6 |
40696691343 | import asyncio
import re
from collections import namedtuple
from magma.magmad.check import subprocess_workflow
DEFAULT_NUM_PACKETS = 4
DEFAULT_TIMEOUT_SECS = 20
PingCommandParams = namedtuple(
'PingCommandParams',
['host_or_ip', 'num_packets', 'timeout_secs'],
)
PingInterfaceCommandParams = namedtuple(
... | magma/magma | orc8r/gateway/python/magma/magmad/check/network_check/ping.py | ping.py | py | 5,786 | python | en | code | 1,605 | github-code | 6 |
3440116021 | class Node:
def __init__(self, val):
self.val = val
self.freq = 1
self.next = None
self.last = None
self.seq_next = None
class FreqStack:
def __init__(self):
self.freq_to_root = {}
self.val_to_node = {}
self.max_freq = 0
def push(self, val: ... | cuiy0006/Algorithms | leetcode/895. Maximum Frequency Stack.py | 895. Maximum Frequency Stack.py | py | 1,718 | python | en | code | 0 | github-code | 6 |
26857827694 | import os
import numpy as np
import torch
import torch.nn as nn
class Generator(nn.Module):
def __init__(self, latent_dim, img_shape):
super().__init__()
self.img_shape = img_shape
self.label_embed = nn.Embedding(10, 10)
def block(in_feat, out_feat, normalize=True):
la... | zeroone-universe/GM4MNIST | models/cGAN/model.py | model.py | py | 1,673 | python | en | code | 0 | github-code | 6 |
30866831466 | import uuid
class CustomerGenerator:
def __init__(self, client):
self.client = client
self.customers_api = client.customers
def create_customer(self, **kwargs):
print('create_customer', kwargs)
result = self.customers_api.create_customer(body=kwargs)
if result... | cbonoz/square21 | customer_generator.py | customer_generator.py | py | 502 | python | en | code | 1 | github-code | 6 |
25867921082 | #import libraries
import pandas as pd
import numpy as np
import bokeh
from bokeh.plotting import figure, output_file, show
from bokeh.models.tools import HoverTool
from bokeh.core.properties import value
from bokeh.models import ColumnDataSource, FactorRange
from bokeh.plotting import figure
import math
from bokeh.... | Fremont28/miami_flights- | flights_viz1.py | flights_viz1.py | py | 12,432 | python | en | code | 0 | github-code | 6 |
39690983841 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="visbeat",
version="0.0.9",
author="Abe Davis",
author_email="everyonehasadance@gmail.com",
description="Code for 'Visual Rhythm and Beat' SIGGRAPH 2018",
long_description=long_descript... | abedavis/visbeat | setup.py | setup.py | py | 1,170 | python | en | code | 220 | github-code | 6 |
73674519546 | '''This script contains the functions used to contruct and train the GAN.'''
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import os
import tensorflow as tf
# Change the environment variable TF_CPP_MIN_LOG_LEVEL to 2 to avoid the orderbooks about the compilation of the CUDA code
os.environ['TF... | DanieleMDiNosse/GAN_Anomaly_Detection | train.py | train.py | py | 17,245 | python | en | code | 0 | github-code | 6 |
33138124964 | #mass import
import pandas as pd
import urllib.request
import json
import numpy as np
import matplotlib.pyplot as plt
from datetime import datetime, timedelta
from sklearn.cluster import KMeans
pd.options.display.max_rows = 999
#for getting the date 5 days ago
daydif = str(datetime.today() - timedelta(days=5))
dayref ... | nicr0ss/RainDance | KMeans_model.py | KMeans_model.py | py | 3,524 | python | en | code | 0 | github-code | 6 |
8870924854 | from collections import deque
import sys
while True:
try:
a=str(input('Input final configuration: '))
N=int(a.replace(' ',''))
if ((N>87654321)|(N<12345678)):
raise ValueError('Incorrect configuration, giving up...')
break
except ValueError:
print('Incorrect configuration, giving up...')
sys.exit()
... | hanxuwu/Learning-Python | Principles of Programming/Assignment/Assignment1/ASS question2.files/rubiks_rectangle.py | rubiks_rectangle.py | py | 5,218 | python | en | code | 3 | github-code | 6 |
74413558908 | class Solution:
def reverse(self, x: int) -> int:
result = 0
x_abs = abs(x)
limit = [-2**31, 2**31 - 1]
while x_abs:
modulo = x_abs % 10
result = result * 10 + modulo
x_abs = x_abs // 10
if x < 0:
result = -re... | garimaarora1/LeetCode-2023 | reverse-integer/reverse-integer.py | reverse-integer.py | py | 436 | python | en | code | 0 | github-code | 6 |
28381664206 | import socket
''' Send given value to the given address. '''
def send_value(to_addr, value):
if not to_addr:
print("Remote Address Not Set!")
return
msg = "VALUE:%d" % value
print("Sending '%s' to %s:%d" % (msg, to_addr[0], to_addr[1]))
s = socket.socket()
try:
s.connect(t... | jsayles/Thing1and2 | src/utils.py | utils.py | py | 1,489 | python | en | code | 1 | github-code | 6 |
13859758386 | import bs4
import requests
from bs4 import BeautifulSoup
SUPPORTED_LANGUAGES = ("EN", "__test__")
def scrape_oxford_learners_dictionary(word: str) -> list[str]:
def url(i: int) -> str:
return (
f"https://www.oxfordlearnersdictionaries.com"
f"/definition/english/{word}_{i}"
... | pavelkurach/vocab-builder | src/dict_scrapers.py | dict_scrapers.py | py | 1,687 | python | en | code | 0 | github-code | 6 |
29147674060 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import requests
import bs4
# In[2]:
'http://books.toscrape.com/catalogue/page-2.html'
# In[3]:
'http://books.toscrape.com/catalogue/page-3.html'
# In[4]:
base_url = 'http://books.toscrape.com/catalogue/page-{}.html'
# In[5]:
base_url.format('20')
# In[... | maylinaung/python-learning | web_scrabing_book_example.py | web_scrabing_book_example.py | py | 1,427 | python | en | code | 0 | github-code | 6 |
15304075993 | from sklearn import model_selection
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
from sklearn.linear_model import LogisticRegression
from sklearn.tree import DecisionTreeClassifier
from sklearn.neighbors import KNeighborsClassi... | tunir27/ICDCN-2019 | Chennai_Floods_code/ML.py | ML.py | py | 2,819 | python | en | code | 0 | github-code | 6 |
21907313029 | from heapq import *
import heapq
class SlidingWindowMedian:
def __init__(self):
self.maxHeap, self.minHeap = [], []
def find_sliding_window_median(self, nums, k):
result = [0.0 for x in range(len(nums) - k + 1)]
for i in range(0, len(nums)):
if not self.maxHeap or nums[i] <... | justinyoonsk/GTCI | 09_Two_Heaps/02_sliding_window_median.py | 02_sliding_window_median.py | py | 2,044 | python | en | code | 0 | github-code | 6 |
3240628422 | from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.response import Response
from entrepreneur.models import Usuario
from authentication.serializers import UserListSerializers, UserSerializer
@api_view(['GET', 'POST'])
def user_api_view(request):
# lista los usuari... | DevApa/auth_em | register/api.py | api.py | py | 2,157 | python | en | code | 0 | github-code | 6 |
72531926909 | # pylint: disable=redefined-outer-name
# pylint: disable=unused-argument
# pylint: disable=unused-variable
import os
import shutil
from pathlib import Path
from typing import Callable
import pytest
import yaml
@pytest.fixture
def tmp_compose_spec(tests_data_dir: Path, tmp_path: Path):
src = tests_data_dir / "doc... | ITISFoundation/osparc-simcore | packages/service-integration/tests/test_command_config.py | test_command_config.py | py | 1,231 | python | en | code | 35 | github-code | 6 |
19581541837 | import textract
import re
import os
import requests
from bs4 import BeautifulSoup
import time
import random
# ===================================== get paper url =====================================
urls = [
'https://sj.ctu.edu.vn/ql/docgia/nam-2015/loaichuyensan-2/xuatban-782.html',
'https://sj.ctu.edu.vn/q... | oldguard69/lvtn | server/core/archive/crawl_data_1.py | crawl_data_1.py | py | 3,229 | python | en | code | 0 | github-code | 6 |
2737490777 | import wikipedia
import pyfiglet
word = pyfiglet.figlet_format("KAREN")
print(word)
while True:
engine=input ("Search: ")
def my_summary():
summ=wikipedia.summary(engine)
return summ
val = my_summary()
print(val)
| Shuklabrother/Search-engine.py | Index.py | Index.py | py | 272 | python | en | code | 0 | github-code | 6 |
13015171086 | import pickle
import torch
import argparse
from foresight.models import *
from foresight.pruners import *
from foresight.dataset import *
from foresight.weight_initializers import init_net
def get_num_classes(args):
return 100 if args.dataset == 'cifar100' else 10 if args.dataset == 'cifar10' else 120
def parse_... | SamsungLabs/zero-cost-nas | nasbench2_pred.py | nasbench2_pred.py | py | 4,715 | python | en | code | 137 | github-code | 6 |
70808003389 | from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing.image import ImageDataGenerator
import numpy as np
import cv2
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
model = load_model("/home/yash/Desktop/PyImageSearch/checkpoints/emotion1.h5")
classifier = cv2.CascadeClassi... | theartificialguy/Deep-Learning-Projects | Emotion and Gender Classification/Emotion Classification/recognition.py | recognition.py | py | 1,841 | python | en | code | 2 | github-code | 6 |
35154021664 | import json
import os
import cherrypy
from jinja2 import Environment, FileSystemLoader
# GET CURRENT DIRECTORY
from helper import get_redis_connection, get_sorted_list
from scrapper import main1
CUR_DIR = os.path.dirname(os.path.abspath(__file__))
env = Environment(loader=FileSystemLoader(CUR_DIR), trim_blocks=True)... | jayanthns/bseproect | run.py | run.py | py | 1,974 | python | en | code | 0 | github-code | 6 |
130544530 |
from apirequests.stratz import search_match, get_global_variables, get_items_per_time
def inicia_overlay(imagem_path, root, label, hero_id, players, heroes_against):
regiao_busca = (580, 492, 62, 25)
#posicao = pyautogui.locateOnScreen(imagem_path, region=regiao_busca, grayscale=True)
label['text'] = "Ag... | caiorodrig0/dotahelper1 | overlay/overlayfunctions.py | overlayfunctions.py | py | 950 | python | en | code | 0 | github-code | 6 |
38048663522 | from constants import API_STACK_BASE_URL
import requests
import sys
class IpStack:
def __init__(self, api_token: str, base_url: str):
if base_url is None or base_url == '':
base_url = API_STACK_BASE_URL
self.api_token = api_token
self.base_url = base_url
def get_ip_locati... | AlejandroGC-SS/ip_stack_interface | ip_stack.py | ip_stack.py | py | 1,318 | python | en | code | 0 | github-code | 6 |
37946645164 | import ServerModule
class StateMachine():
current_state = None
nickname = None
def __init__(self, start_state):
self.current_state = start_state
def login(self, nickname):
self.nickname = nickname
return ServerModule.login(nickname)
def view_profile(self, nickname):
... | 8Air/server-client_app | StateMachine.py | StateMachine.py | py | 1,678 | python | en | code | 0 | github-code | 6 |
5390312333 | class Node:
def __init__(self, val):
self.val = val
self.next = None
def deleteNode(root, target):
if not root or not target:
return "Error"
if target.next:
print(target.val)
target.val = target.next.val
target.next = target.next.next
if not tar... | JarvisFei/leetcode | 剑指offer代码/算法和数据操作/面试题18:删除链表的节点.py | 面试题18:删除链表的节点.py | py | 764 | python | en | code | 0 | github-code | 6 |
41295805453 | import pygame
from pygame.locals import *
import numpy as np
from conway import Life
class GameOfLife(Life):
def __init__(self, width = 1600, height = 1000, cell_size = 5, speed = 10):
Life.__init__(self, width // 10, height // 10)
self.width = width
self.height = height
self.cell_s... | hatiff/GameLife | Life.py | Life.py | py | 2,437 | python | en | code | 0 | github-code | 6 |
29696388258 | # Sales Program
# Written by Tanner McCarthy
# 9/20/21
# Prof Fried
packagePrice = 99
discount = 0
#used a while loop so that it will keep running until I am satisfied with the input given to me
#by the user
#use True so that it will always run
while True:
#used try and except so that if an error comes up that wo... | TannerMcCarthy/SalesHW | sales.py | sales.py | py | 5,233 | python | en | code | 0 | github-code | 6 |
42591021729 | import os
import numpy as np
import pickle
import argparse
from implicit.bpr import BayesianPersonalizedRanking
from implicit.nearest_neighbours import CosineRecommender
from scipy.sparse import csr_matrix
from methods import consul, oracle, PrivateRank, PrivateWalk
np.random.seed(0)
def recall(li, gt):
if gt... | joisino/consul | evaluate.py | evaluate.py | py | 8,347 | python | en | code | 5 | github-code | 6 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.