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values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
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31977888925 | # import libtcodpy as libtcod
# import EngineSettings
from Scene import Scene
import Audio
from core import EngineSettings
from gui.MainWindow import MainWindow
audio = None
mainWin = None
mainScene = None
logWin = None
def init(scene=None):
global mainWin, mainScene, logWin, audio
mainScene = scene
if m... | grotus/fishsticks | core/Core.py | Core.py | py | 520 | python | en | code | 0 | github-code | 13 |
40785686071 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Nov 28 17:02:32 2020
@author: elvinagovendasamy
"""
from scipy import spatial
from sklearn.model_selection import KFold
import numpy as np
import pandas as pd
from operator import itemgetter
from sklearn.neighbors import KNeighborsClassifier
from sklea... | elvinaeury/KNN_from_scratch | KNN_Bagging_final.py | KNN_Bagging_final.py | py | 7,069 | python | en | code | 0 | github-code | 13 |
2303156517 | import logging
FORMAT = "%(asctime)s %(name)s %(message)s"
logging.basicConfig(level=logging.INFO, format=FORMAT)
log1 = logging.getLogger('s')
log1.setLevel(logging.DEBUG)
log2 = logging.getLogger('s.s1')
# print(log2.getEffectiveLevel())
log2.debug('log2 debug')
data = ["{}*{}={}".format(j,i,i*j) for i in range(1... | bujiliusu/first | L3903.py | L3903.py | py | 358 | python | en | code | 0 | github-code | 13 |
6180657112 | from twilio.rest import Client
import os
try:
account_sid = os.environ['TWILIO_ACCOUNT_SID']
auth_token = os.environ['TWILIO_AUTH_TOKEN']
client = Client(account_sid, auth_token)
message = client.messages \
.create(
body="Hi Maaz.",
... | maazsabahuddin/Twilio-SMS-service | Twilio_sms.py | Twilio_sms.py | py | 529 | python | en | code | 1 | github-code | 13 |
13779721509 | import subprocess
input_file = "ips.txt"
output_file = "ping_results.txt"
# Open the input file and read IP addresses
with open(input_file, "r") as file:
ip_addresses = file.read().splitlines()
# Open the output file to write the results
with open(output_file, "w") as file:
# Loop through each IP address
... | kotha070/Thesis | ping_ips.py | ping_ips.py | py | 832 | python | en | code | 0 | github-code | 13 |
41057607409 | from locale import currency
import sys
from chatterbot import ChatBot
from chatterbot.trainers import ListTrainer
from chatterbot.trainers import ChatterBotCorpusTrainer
import re
import datetime
import glob
from sqlalchemy import false
def get_corpus_from_file(filename):
conversations = []
curr_conversation ... | volts-inventory/Kaladin | train.py | train.py | py | 4,643 | python | en | code | 0 | github-code | 13 |
42960510720 | from typing import List
from cloudleak.app import create_app
from cloudleak.models.objectid import PydanticObjectId
from cloudleak.models.target import Scan
from flask_pymongo import PyMongo
from ..models.scan_status import ScanStatus
app = create_app(register_blueprints=False)
mongo_client = PyMongo(app, uri=app.co... | DanielAzulayy/CloudLeak | cloudleak_backend/cloudleak/common/scans.py | scans.py | py | 1,118 | python | en | code | 2 | github-code | 13 |
21322648186 | import sys
import numpy
import numpy.linalg
class BaseImage(object):
def __init__(self):
self.points = {}
def add_point(self, name, px, py):
self.points[name] = px, py
def union_points(self, other):
d = dict(self.points)
d.update(other.points)
return d
... | ejrh/image-tools | montage/montage.py | montage.py | py | 4,548 | python | en | code | 0 | github-code | 13 |
73207501138 | import sys
from load import load_strings
names = load_strings(sys.argv[1])
search_names = ["Titus", "Harv", "Wolfgang", "Moshe", "Len", "Cosmo", "Bernd", "Tray", "Derrin", "Garry", "Tomlin", "Pace", "Wilfrid", "Ulysses", "Uli", "Ave", "Val", "Todd", "Chrissy", "Terry", "Mischa", "Elwood", "Earl", "Alec", "Demetrius",... | HazeeqHaikal/learning-data-structure-with-python | binary_search.py | binary_search.py | py | 1,520 | python | hr | code | 0 | github-code | 13 |
1744887552 | from ..config.Mongodb import Mongodb
from ..models.entity.Restaurant import Restaurant
from bson.objectid import ObjectId
class Restaurant_dao:
def __init__(self):
self.mongodb = Mongodb.getInstance()
self.client = self.mongodb.client
def searchRestaurant(self, search):
response = ... | Cochachin/demo-gastron-app-service | src/datasource/Restaurant_dao.py | Restaurant_dao.py | py | 1,543 | python | en | code | 0 | github-code | 13 |
32484822203 | #!/usr/bin/env python
import numpy as np
import logging
import gomill
import gomill.common
from gomill import gtp_engine, gtp_states
from gomble import MoveProbBot
import kombilo_book
from kombilo_book import MoveFinder, MoveFinderRet, MoveValue
def make_engine(player):
"""Return a Gtp_engine_protocol which run... | jmoudrik/gomble | kombilo_player.py | kombilo_player.py | py | 2,802 | python | en | code | 0 | github-code | 13 |
31625859389 | import argparse
from pyteomics import mzid
parser = argparse.ArgumentParser(description='Filter an MzIdentML file by q-value')
parser.add_argument('input', help='input mzid file')
parser.add_argument('threshold', type=float, help='maximum q value')
parser.add_argument('output', help='location of filtered mzid file')
... | mrForce/tiny_scripts | python/mzid_qvalue_filter/filter.py | filter.py | py | 1,213 | python | en | code | 0 | github-code | 13 |
4320562471 | ##############################################################################
# Copyright (C) 2018, 2019, 2020 Dominic O'Kane
##############################################################################
from numba import njit, float64, int64
from scipy import integrate
from math import exp, log, pi
import nu... | domokane/FinancePy | financepy/models/heston.py | heston.py | py | 14,264 | python | en | code | 1,701 | github-code | 13 |
5255652282 | from numpy.typing import NDArray
import numpy as np
class NaiveBayes:
def fit(self, X:NDArray, y:NDArray) -> None:
n_samples, n_features = X.shape
self._classes:NDArray = np.unique(y)
n_classes = len(self._classes)
# calculate mean, var, and prior for each class
self._mea... | supertigim/ML-DL-Rewind | machine_learning/from_scratch/models/naive_bayes.py | naive_bayes.py | py | 1,751 | python | en | code | 0 | github-code | 13 |
6200520072 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 16 20:47:35 2020
@author: vijetadeshpande
"""
import torch
import sys
sys.path.insert(1, r'/Users/vijetadeshpande/Documents/GitHub/Sequence2Sequence model for CEPAC prediction/Data processing, runs generator and utility file')
import utils
import pa... | vijetadeshpande/meta-environment | Encoder decoder with attention/evaluate_EncDec.py | evaluate_EncDec.py | py | 2,914 | python | en | code | 0 | github-code | 13 |
37921616089 | #!/usr/bin/env python
"""Train foreground segmentation network."""
from __future__ import division
import numpy as np
import os
from utils import logger
from utils import BatchIterator, ConcurrentBatchIterator
from utils import plot_utils as pu
from utils.lazy_registerer import LazyRegisterer
from utils.step_counter ... | renmengye/rec-attend-public | fg_model_train.py | fg_model_train.py | py | 17,207 | python | en | code | 107 | github-code | 13 |
14957777310 | # CBV 방식으로 변경하기
# from django.shortcuts import render
from django.views.generic import ListView, DetailView, CreateView, UpdateView # Detail을 불러오겠음
# django -> views -> generic 안의 CreateView를 불러오겠음.
# 로그인 관련해서 django에서 지원해주는 라이브러리
# 로그인되어있을때만 보여줌
from django.contrib.auth.mixins import LoginRequiredMixin, UserPasses... | Sgkeoi/Goorm_Django | blog/views.py | views.py | py | 11,212 | python | ko | code | 0 | github-code | 13 |
3039568331 | #! python3
# ExcelToCSV.py - Converts all excel spreadsheets in the working directory to CSV files
import csv, openpyxl, os
def main():
ExcelToCSV()
def ExcelToCSV():
for excelFile in os.listdir('.'):
# Skip non-xlsx files
if not excelFile.endswith('.xlsx'):
continue
... | cjam3/AutomateTheBoringStuffPractice | Chapter 16/ExcelToCSV.py | ExcelToCSV.py | py | 1,161 | python | en | code | 0 | github-code | 13 |
39031703852 | # Recursive implementation
class Solution(object):
def combo(self, n, ans, s=0, c=0, p=""):
if c==n: # All starting parantheses have been closed with equal numbers of valid closing parantheses for current permutation
ans.append(p) # Append latest calulated permutation to final answer... | sarvesh10491/Leetcode | Pattern_Based/3_Generate_Parentheses.py | 3_Generate_Parentheses.py | py | 829 | python | en | code | 0 | github-code | 13 |
29578613364 | import math
import os
import pygame
gameStage = 1
startMenuButtons = ["Continue", "New Game", "Settings", "Exit"]
# Initializes PyGame #
pygame.init()
os.environ["SDL_VIDEO_CENTERED"] = "1"
screen = pygame.display.set_mode((1088, 768))
pygame.display.set_caption("Menu Testing")
font = pygame.font.SysFont("ariel", 35... | Benjamin-Fever/Box-Shifter-I | gameTesting/menu.py | menu.py | py | 1,811 | python | en | code | 0 | github-code | 13 |
22561465809 | from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
X = [1,2,3,4,5,6,7,8,9,10]
Y = [5,6,2,3,13,4,1,2,4,8]
Z = [2,3,3,3,5,7,9,11,9,10]
label = [1,1,1,1,1,0,0,0,0,0]
for i in xrange(10):
if label[i]==1:
ax.scatter(X[i],Y[i],Z[i], c='r... | xiawang/HPCDA | src/test5.py | test5.py | py | 475 | python | en | code | 0 | github-code | 13 |
11188204995 | import numpy as np
#np.set_printoptions(suppress=True)
import os
import matplotlib.pyplot as plt
import pandas as pd
import matplotlib.pyplot as plt
def resolution(path,n,savepath):
dir = path
data = np.loadtxt(dir)
j = 1
label = []
x = data[:, 0]
y = data[:, 1]
for i in rang... | gym918/Air-Spectrum | 预处理/Resolution.py | Resolution.py | py | 1,598 | python | en | code | 0 | github-code | 13 |
10934043036 | # -*- coding: utf-8 -*-
from bson import ObjectId
import models
import logging
import threading
from qmongo import helpers
logger = logging.getLogger(__name__)
global lock
lock = threading.Lock()
def get_list_with_searchtext(args):
searchText = args['data'].get('search', '')
pageSize = args['data']... | nttlong2018/hr-python | apps/performance/api/HCSSYS_ExcelTemplate.py | HCSSYS_ExcelTemplate.py | py | 6,552 | python | en | code | 0 | github-code | 13 |
17428779224 | import pandas as pd
import stanza
nlp = stanza.Pipeline(lang='en', processors='tokenize, sentiment')
df = pd.read_csv('researchGate_Covid19ImpactAcademic.csv')
textsList = []
for comment in df['Comment']:
textsList.append(comment)
docList = []
for text in textsList:
docList.append(nlp(text))
resultList = []... | j56810186/python_little_part_of_research_project | sentimentAnalysis.py | sentimentAnalysis.py | py | 783 | python | en | code | 0 | github-code | 13 |
42027174869 | # -*- coding: utf-8 -*-
__author__ = 'Xuesong Wang'
import sys
from data_helper import *
from sklearn.model_selection import train_test_split
import json
import logging
import tensorflow as tf
from text_cnn import TextCNN
import time
import os
if __name__ == '__main__':
""" Step 0: reload coding systems to disp... | xuesongwang/Chinese-forum-mining | CNN/inclassCNN_train.py | inclassCNN_train.py | py | 8,330 | python | en | code | 0 | github-code | 13 |
33938347478 | import glob, os, re
def UtilObserver(sourcepath,file_mask):
unreal_source_path = sourcepath+'/Content/SHOTS/EPWHH'
all_native_assets = glob.glob(unreal_source_path + file_mask, recursive=True)
#all_optimized_assets = glob.glob(unreal_source_path + '/**/OPT/**/*.fbx', recursive=True)
name_assets = all_... | denfrost/UnrealPyClient | Content/Python/UtilObserver.py | UtilObserver.py | py | 1,451 | python | en | code | 6 | github-code | 13 |
406574802 | """
SIGNAL PROCESSING
"""
# import essentia
from essentia.standard import FrameGenerator, Spectrum, Windowing
import numpy as np
from .utils import timer
@timer
def get_spectrogram(audio_data):
spectrogram = []
spectrum = Spectrum()
w = Windowing(type='hann')
spectrogram = np.array(list(map(
... | conjectures/art-cgan | core/sp/signal_processing.py | signal_processing.py | py | 1,619 | python | en | code | 0 | github-code | 13 |
22336199833 | data = input()
students_info = {}
while not data == data.lower():
split = data.split(":")
student_name = split[0]
student_id = split[1]
student_course = split[2]
if student_course not in students_info:
students_info[student_course] = {student_name: student_id}
else:
students_inf... | DimitarDimitr0v/Python-Fundamentals | 06. Dictionaries/Lab/06. students.py | 06. students.py | py | 559 | python | en | code | 2 | github-code | 13 |
22244632338 |
import tensorflow as tf
import pathlib
import sys
import datetime
import time
import yfinance as yf
import copy
from baseSignal import Signal
import pandas as pd
scriptpath = pathlib.Path(__file__).parent.resolve()
sys.path.append(str(scriptpath.parent.parent/'utils'))
from dict_utils import Df_to_Dict, get_future_day... | jamesyeogz/FYP_project | engine/engine/indicator_engine/MLSignal.py | MLSignal.py | py | 3,382 | python | en | code | 0 | github-code | 13 |
37988597174 | import sys
def txt_importer(path_file: str):
if not path_file.endswith(".txt"):
print("Formato inválido", file=sys.stderr)
return
try:
with open(f"{path_file}", "r") as file:
stacked_text = file.read().split("\n")
return stacked_text
except FileNotFoundError... | JOAO-LEE/project_ting_trybe_is_not_google | ting_file_management/file_management.py | file_management.py | py | 533 | python | en | code | 0 | github-code | 13 |
14423489517 | import requests
import tkinter as tk
class Box(object):
isChecked = False
isSubmarine = False
btnTxt = ""
lblBox = ""
def __init__(self, boxID, lblBox, GameBoard):
self.boxID = boxID
self.lblBox = lblBox
self.GB = GameBoard
def ShootBox(self, event):
if self.G... | oniken18/SubmarineWar_Python | BoxClass.py | BoxClass.py | py | 1,035 | python | en | code | 0 | github-code | 13 |
74638928016 | from decouple import config
ENVIRONMENT = config('ENVIRONMENT', default='DEVELOPMENT')
if ENVIRONMENT.upper() == 'PRODUCTION':
from project_name.settings.staging import *
elif ENVIRONMENT.upper() == 'STAGING':
from project_name.settings.production import *
else:
from project_name.settings.development impo... | CodingArmenia/django-rest-api-project-template | project_name/settings/__init__.py | __init__.py | py | 670 | python | en | code | 0 | github-code | 13 |
21223774732 | def add_to_inventory (inventory, added_items):
for i in range(len(added_items)):
inventory.setdefault(added_items[i], 0)
inventory[added_items[i]] += 1
return inventory
def display_inventory (display):
print ("Inventory:")
total_inv = 0
for k, v in display.items():
print... | kestena/automatetheboringstuffwithpython | chapter_5_add_to_inventory.py | chapter_5_add_to_inventory.py | py | 599 | python | en | code | 0 | github-code | 13 |
11045600210 | import logging
import sys
import time
import json
import jieba.analyse
jieba.setLogLevel(logging.ERROR)
jieba.initialize()
from titletrigger.api import load_model, abs_summarize, tag_classify, extract_keywords, ext_summarize
sys.path.append('titletrigger/textsum')
sys.path.append('titletrigger/textclf')
if __name__ ... | ScarletPan/ML-Camp-BurnMyGpu | example.py | example.py | py | 3,029 | python | zh | code | 2 | github-code | 13 |
26530006772 | import cv2
import time
import sys
import numpy as np
sys.path.append('..')
from libs import FaceGateway
from libs import EyesGateway
from libs import EyeDirectionGateway
from libs import PupilsGateway
#The issue with OpenCV track bars is that they require a function that will happen on each track bar
# movement. We do... | ritamouraribeiro/eye-tracker-opencv | libs/WebCamGateway.py | WebCamGateway.py | py | 1,287 | python | en | code | 0 | github-code | 13 |
1316905772 | __all__ = ["AMTrainer", "build_model", "_parser", "main"]
from ..shared import Manager
from ..shared import coreutils
from ..shared import encoder as model_zoo
from ..shared.data import (
KaldiSpeechDataset,
sortedPadCollateASR
)
import os
import argparse
from typing import *
import torch
import torch.nn as ... | NLPvv/Transducer-dev-1 | cat/ctc/train.py | train.py | py | 6,089 | python | en | code | 0 | github-code | 13 |
73091567697 | # These are primarily intended to be used with simulate.calc_lens
import metrics
import pandas
import decimal
from decimal import Decimal as D
def calc_pwa0(annual_data):
return metrics.pwa(1, 0, [n.returns_r for n in annual_data])
def calc_pwa1(annual_data):
return metrics.pwa(1, 1, [n.returns_r for n in an... | hoostus/prime-harvesting | lens.py | lens.py | py | 3,399 | python | en | code | 26 | github-code | 13 |
37296083485 |
import matplotlib.pyplot as plt
import numpy as np
import sys
import json
from util import Log, ConstellationToXY
def main():
if len(sys.argv) != 3 and len(sys.argv) != 5:
Log("ERR. Incorrent number of args.")
return
if sys.argv[1] != "-f":
Log("ERR. No '-f' param given.")
re... | skyhoffert/ENEE623_Project | report.py | report.py | py | 961 | python | en | code | 0 | github-code | 13 |
31071192149 | # -*- encoding: utf-8 -*-
"""
PyCharm show
2022年08月14日
by littlefean
"""
from typing import *
空 = None
真 = True
def 主函数():
打印 = print
打印(123)
return 空
if __name__ == "__main__":
主函数()
| Littlefean/SmartPython | python迷惑行为/中文编程/show.py | show.py | py | 240 | python | zh | code | 173 | github-code | 13 |
672494652 | import logging
from sawtooth_sdk.protobuf import state_context_pb2
from sawtooth_sdk.processor.exceptions import InvalidTransaction
from rbac_addressing import addresser
from rbac_processor.common import get_state_entry
from rbac_processor.common import is_in_role_attributes_container
from rbac_processor.common impor... | hyperultra-zz/selenium | processor/rbac_processor/role/role_apply.py | role_apply.py | py | 4,490 | python | en | code | 0 | github-code | 13 |
3873729152 |
def swap(mylist,i):
# that sit at indices i and (i+1).
if (i >= 0 and i+1 <= len(mylist) - 1): # testing that the two indices are valid for the list
temp = mylist[i+1]
mylist[i+1] = mylist[i]
mylist[i] = temp
else:
print('error: index out of bounds')
def scan_once(l):
# it returns True if it has performe... | Nxumalo/Sort-Methods | Bubble Sort.py | Bubble Sort.py | py | 4,675 | python | en | code | 0 | github-code | 13 |
28127352990 | """
最大值减去最小值小于或者等于num的子数组数量
题目:
给定数组arr和整数num,共返回有多少个子数组满足如下情况:
max(arr[i..j]) - min(arr[i..j]) <=num
max(arr[i..j]}表示子数组arr[i..j]中的最大值,min(arr[i..j])表示子数组arr[i..j]中的最小值
要求:
如果数组的长度为N,请实现时间复杂度为O(N)的解法
"""
from development.chapter7.LinkedDeque import LinkedDeque
def get_num(arr, num):
"""最大值减去最小值等于num的数量的具体实现""... | liruileay/data_structure_in_python | data_structure_python/question/chapter1_stack_queue_question/question11.py | question11.py | py | 1,244 | python | zh | code | 0 | github-code | 13 |
9483519716 | '''
Created on 27 mar 2016
@author: linky
'''
import Funzioni_PyTumblr
import pytumblr
from time import sleep
from _Poster import _poster as ps
from Funzioni_PyTumblr import *
class Poster(ps):
'''
classdocs
Questa classe avra' il compito di gestire la ricezione delle immagini da postare... | Linkinax/PyTumblr | Poster/Poster.py | Poster.py | py | 3,668 | python | it | code | 0 | github-code | 13 |
4693902191 | import textwrap
def merge_the_tools(string, n):
# Calculate the length of each substring
substring_length = n
# Split the string into substrings
substrings = textwrap.wrap(string, substring_length)
result_list = []
for string in substrings:
unique_chars = []
for char in string:... | ifte110/Python-hackerrank | merge_the_tools.py | merge_the_tools.py | py | 930 | python | en | code | 0 | github-code | 13 |
35220089434 | import torch
import torch.nn as nn
import torch.nn.functional as F
class DuelingCNN(nn.Module):
def __init__(self, img_dim, w, h, input_dim, output_dim, dueling_type='mean'):
super().__init__()
self.dueling_type = dueling_type
self.device = torch.device('cuda' if torch.cuda.is_available() e... | vinaykudari/maze-solver | cnn_dueling.py | cnn_dueling.py | py | 1,552 | python | en | code | 0 | github-code | 13 |
19124576657 | # Note: This is a model directly from the https://pytorch.org/tutorials/intermediate/speech_command_classification_with_torchaudio_tutorial.html
# This model reflects the model described in the following paper: https://arxiv.org/pdf/1610.00087.pdf
import torch
import torch.nn as nn
import torch.nn.functional as F
impor... | achandlr/Music-Genre-Classifier | src/models/M5_Audio_Classifier.py | M5_Audio_Classifier.py | py | 1,963 | python | en | code | 0 | github-code | 13 |
19420524977 | import shutil
import subprocess
from dataclasses import dataclass
def does_program_exist(prog_name):
if shutil.which(prog_name) is None:
return False
else:
return True
@dataclass(frozen=True, order=True)
class Opts:
steps: int = 1000000
sterics: bool = False
extra_pdbs: str = ""
... | jyesselm/rnamake_ens_gen | rnamake_ens_gen/wrapper.py | wrapper.py | py | 1,296 | python | en | code | 0 | github-code | 13 |
38190607909 | from databases import Database
from fastapi import HTTPException
from sqlite3 import IntegrityError
import json
from models.term_definition import TermDefinition
class LexicalException(Exception):
pass
# global cache of Lexicon
class Lexicon():
resolve_query = "SELECT Params, Definition, Line FROM Term WHE... | rottytooth/Babble | lexicon_dao.py | lexicon_dao.py | py | 2,955 | python | en | code | 0 | github-code | 13 |
7377922214 | import numpy as np
import scipy
from matplotlib import pyplot as plt
from numpy.random import randint
from ikrlib import train_gmm, logpdf_gmm
from projekt_lib import wav16khz2mfcc,png2fea
train_n = wav16khz2mfcc('train_data/non_target_train').values()
train_t = wav16khz2mfcc('train_data/target_train').values()
tes... | xgalba03/SUR---person-recognition-NN- | IKR_demos_py/projekt.py | projekt.py | py | 2,686 | python | en | code | 0 | github-code | 13 |
28008586690 | # -*- coding: utf-8 -*-
"""
Created on Wed Mar 13 06:14:25 2019
#pythonprogramming.net python3.7 basics tutorial - Making a simple TicTacToe game.
@author: RB
"""
import itertools
def win(current_game):
def all_same(l):
if l.count(l[0]) == len(l) and l[0] != 0:
return True
... | Ravenblack7575/Exercises-Testing | tictactoe4.py | tictactoe4.py | py | 3,671 | python | en | code | 0 | github-code | 13 |
71606898577 |
MENU = {
"espresso": {
"ingredients": {
"water": 50,
"coffee": 18,
},
"cost": 1.5,
},
"latte": {
"ingredients": {
"water": 200,
"milk": 150,
"coffee": 24,
},
"cost": 2.5,
},
... | hlee0995/Python_review | Coffee Machine.py | Coffee Machine.py | py | 2,083 | python | en | code | 0 | github-code | 13 |
27802796412 | # 이미 푼 문제
# 해결 방법만 떠올리고 skip
# 브루트포스
# combination으로 팀을 뽑으면 쉬울거같은데?
# 시간복잡도도 충분 20C10
# -- 이전 코드를 본 후 --
# 스타트, 링크팀 분리 후 각 팀의 능력치를 구할 때, set, permu를 사용하네 좋은 코드다
# 잘 살펴보자
#20c10 하면 20만 시간복잡도는 충분하다
from itertools import combinations,permutations
N = int(input())
arr = [list(map(int, input().split())) for _ in range(N)]... | tkdgns8234/DataStructure-Algorithm | Algorithm/백준/백준강의/알고리즘_중급_1/브루트포스/순열-연습/스타트와_링크.py | 스타트와_링크.py | py | 815 | python | ko | code | 0 | github-code | 13 |
32674133645 | import numpy as np
from dt import *
from datasets import *
from sklearn.model_selection import cross_validate
from plots import read_csv, write_csv
import copy
def eval(algorithm, dataset):
cls = {"LocalInformationGain": LocalInformationGainDecisionTreeClassifier,
"GlobalInformationGain": GlobalInform... | 285714/DecisionTrees | Figures/treesize_bestof.py | treesize_bestof.py | py | 1,697 | python | en | code | 2 | github-code | 13 |
71819385618 | import numpy as np
import tensorflow as tf
def WALS(R,I,It,bm,bg,bu,_N):
_GL, _UL = I.shape
_IL = np.sum(I)
_TL = np.sum(It)
zero=np.zeros_like(R)
bias = bm+np.expand_dims(bg,1)+bu
idx=tf.where(I)
print("idx ready")
input_tensor = tf.SparseTensor(indices=idx,
... | greg3566/BoardgameRating | MF.py | MF.py | py | 2,334 | python | en | code | 0 | github-code | 13 |
35230779392 | #!/usr/bin/python3
"""
This script lists all State objects from database passed into program
Using SQLalchemy, this script connects to a MySQL server running on
localhost at port 3306.
This script takes 3 arguments: mysql username,
mysql password, and database name.
These arguments are used to connect to the MySQL se... | fernandogmo/holbertonschool-higher_level_programming | 0x0F-python-object_relational_mapping/7-model_state_fetch_all.py | 7-model_state_fetch_all.py | py | 896 | python | en | code | 1 | github-code | 13 |
1346866891 | import math
from typing import Dict, List, Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.utils.rnn as rnn_utils
from pyhealth.datasets import SampleEHRDataset
from pyhealth.models import BaseModel
from pyhealth.models.utils import get_last_visit
class FinalAttentionQKV(nn.Module):
def __ini... | sunlabuiuc/PyHealth | pyhealth/models/concare.py | concare.py | py | 37,784 | python | en | code | 778 | github-code | 13 |
21575492145 | #!usr/bin/env python3
from collections import defaultdict
from collections import deque
from heapq import heappush, heappop
import sys
import math
import bisect
import random
def LI(): return list(map(int, sys.stdin.readline().split()))
def I(): return int(sys.stdin.readline())
def LS():return list(map(list, sys.stdin.... | hppRC/competitive-programming-solutions | ARC/ARC-B/ARC037B.py | ARC037B.py | py | 1,848 | python | en | code | 3 | github-code | 13 |
42855737830 | import torch
from torch.nn import functional as F
def scalar_to_support(x, support_size):
"""
Transform a scalar to a categorical representation with (2 * support_size + 1) categories
See paper appendix Network Architecture
"""
x = torch.clamp(x, -support_size, support_size)
floor = x.floor()
... | rlditr23/RL-DITR | ts/utils.py | utils.py | py | 2,872 | python | en | code | 10 | github-code | 13 |
3743390771 | from keycloakManager.keycloakConnection import Connection
import asyncio
class Login(Connection):
"""### Login (saljemo user creaditionale i dobijamo token)
- `email`
- `secret`
##### Ova klasa je child i nasledjuje objekte za konekciju od parnet klase i vraca keycloak token
"""... | mifa43/WebApp | auth/src/keycloakManager/keycloakLogin.py | keycloakLogin.py | py | 834 | python | en | code | 0 | github-code | 13 |
22028708813 | import world_of_supply_rllib as wsr
import random
import numpy as np
import time
import ray
from ray.tune.logger import pretty_print
from ray.rllib.utils import try_import_tf
import ray.rllib.agents.trainer_template as tt
from ray.rllib.models.tf.tf_action_dist import MultiCategorical
from ray.rllib.models import Mod... | ikatsov/tensor-house | supply-chain/world_of_supply/world_of_supply_rllib_training.py | world_of_supply_rllib_training.py | py | 7,774 | python | en | code | 1,049 | github-code | 13 |
10191613795 | import heapq
def solution(operations):
heap = []
for x in operations:
oper, num = x.split()
num = int(num)
if oper == "D" and num == 1:
if heap:
max_value = max(heap)
heap.remove(max_value)
elif oper == "D" and num == -1:
... | Jinnie-J/Algorithm-study | programmers/이중우선순위큐.py | 이중우선순위큐.py | py | 487 | python | en | code | 0 | github-code | 13 |
71165000659 | import torch
import torch.nn.functional as F
from config import config
_config = config()
print('asdasd')
def evaluate(golden_list, predict_list):
num_list_1 = len(golden_list)
num_list_2 = len(golden_list[0])
num_gt = 0
num_pre = 0
for i in range(num_list_1):
for j in range(len(predi... | Elijahlen/Python_Project_BiLSTM_Hyponymy-Classification | todo.py | todo.py | py | 3,960 | python | en | code | 1 | github-code | 13 |
17268390576 | #! /usr/bin/env python3
'''Letters to words challenge assistant.
This program takes a collection of letters entered as a string and returns
all possible valid English words.
'''
# Standard libraries:
from collections import defaultdict
from itertools import permutations
from pathlib import Path
import sys
# Th... | sockduct/Weekly | letters2words.py | letters2words.py | py | 2,285 | python | en | code | 0 | github-code | 13 |
23559722226 | """ The "Reader" class was created for the conversion of JSON data to a dictionary
Where the dictionary's keys are input strings and values are the "Result" class objects.
"""
import json
from EGS_task.Result import Result
class Reader:
# Opening JSON file
@staticmethod
def json2dict(json_path):
... | Azatyan0/EGS-Task | EGS_task/Reader.py | Reader.py | py | 632 | python | en | code | 0 | github-code | 13 |
29147914676 | import datetime
from transaction import Transaction
from Crypto.Hash import SHA256
class Block:
def __init__(self, transaction_list: [Transaction], hash_key: str = None, nonce: bytes = None, prev_hash: str = None):
# When we create a block we know its previous block
self.previous_hash = prev_hash... | LightingSpider/Blockchain-NBC | block.py | block.py | py | 4,828 | python | en | code | 1 | github-code | 13 |
4067796509 | # -*- coding: utf-8 -*-
'''
Created on Mon Jun 17 11:34:02 2019
@author: Patrik_Zelena
'''
from DatabaseHelper import DatabaseHelper
from HotelKNNAlgorithm import HotelKNNAlgorithm
from Evaluator import Evaluator
from surprise import Dataset, Reader
import random
import numpy as np
import logging
log = ... | zeletrik/HRecSys | app/Recommender.py | Recommender.py | py | 2,024 | python | en | code | 1 | github-code | 13 |
8489640134 | # Fileneme: test001.py
import string
def reverse(text):
return text[::-1]
def is_palindrome(text):
text = text.lower()
print(text)
text = text.replace(' ', '')
print(text)
for char in string.punctuation:
text = text.replace(char, '')
print(text)
return text == reverse(text)
d... | likaiharry/First | test001.py | test001.py | py | 547 | python | en | code | 0 | github-code | 13 |
73019813459 | import os
import logging
import time
from logging import handlers
LOG_FORMAT = "%(asctime)s - %(levelname)s: %(message)s"
DATE_FORMAT = "%m/%d/%Y %H:%M:%S %p"
debug_file_path = './data/track_{0}.log'.format(time.strftime('%Y%m%d_%H%M%S'))
app_file_path = './data/app_{0}.log'.format(time.strftime('%Y%m%d_%H%M... | yiweisong/ins401-log | app/debug.py | debug.py | py | 1,328 | python | en | code | 0 | github-code | 13 |
34560439464 | #Joe Hester
#Asteroids
#final project
import pygame
from pygame.locals import *
from math import cos,sin,pi,hypot
import random
class Ship(object):
def __init__(self,x,y,vx,vy):
self.x = x
self.y = y
self.vx = vx
self.vy = vy
self.angle = -pi/2
self.... | csharrison/Student-Final-Projects | joseph_hester/asteroids_2.py | asteroids_2.py | py | 5,462 | python | en | code | 1 | github-code | 13 |
21004127975 | import numpy as np
import random
import time
from math import sqrt
import pandas as pd
import glob
from numpy import random
import sys
import pathlib
import math
from math import *
import time
import argparse
import logging
import apache_beam as beam
from apache_beam.dataframe.convert import to_dataframe
from apache_... | SaarucaK/cloud-project | project_combined_pipeline.py | project_combined_pipeline.py | py | 3,148 | python | en | code | 0 | github-code | 13 |
17781804063 | import requests
from bs4 import BeautifulSoup
url = 'https://news.ycombinator.com/news'
url_htmltext_request = requests.get(url).text
soup_object = BeautifulSoup(url_htmltext_request, 'html.parser')
titlelink = soup_object.select('.titlelink')
subtext = soup_object.select('.subtext')
def my_news(links,... | adeagbaje/webscraping | webscraping.py | webscraping.py | py | 748 | python | en | code | 0 | github-code | 13 |
17114961134 | import logging
from agr_literature_service.api.models import ReferenceModel, CrossReferenceModel, \
ReferencefileModel, AuthorModel, MeshDetailModel
from agr_literature_service.lit_processing.utils.db_read_utils import \
get_references_by_curies, get_curie_to_title_mapping, \
get_pmid_list_without_pmc_packa... | alliance-genome/agr_literature_service | tests/lit_processing/utils/test_db_read_utils.py | test_db_read_utils.py | py | 9,089 | python | en | code | 1 | github-code | 13 |
6810068590 | #!/usr/bin/python3
import numpy as np
import matplotlib.pyplot as plt
def g1( v ):
x,y=v[0],v[1]
return 2*x**2+y**2-2
def g2(v ):
x,y=v[0],v[1]
return (x-1/2)**2+(y-1)**2-1/4
def g( v ):
x,y=v[0],v[1]
w=np.array([g1(v),g2(v)])
#print(w)
return w
def G(v):
a=g(v)
return 1/2*a.T.dot(a)
def J(v):
x,y=v[0],v[1]... | matstep0/metody_numeryczne | zad14/zad14.py | zad14.py | py | 774 | python | en | code | 0 | github-code | 13 |
13344724191 | from tkinter import *
from datetime import datetime
import pytz
root = Tk()
root.title('—')
frame = Frame()
Label(root, text='Choose any Timezone', fg='navyblue').pack()
frame.pack()
time_scrollbar = Scrollbar(frame, orient=VERTICAL)
time_listbox = Listbox(frame, yscrollcommand=time_scrollbar.set)
time_scrollbar.con... | aaravdave/YoungWonks | Level 3/Tkinter/4) Listbox and Notebook/Question 2.py | Question 2.py | py | 908 | python | en | code | 0 | github-code | 13 |
73097435216 | def custom_sort(string):
return(string.swapcase())
def generator(text, sep="", option=None):
"""Option is an optional arg, sep is mandatory"""
if not isinstance(text, str):
yield("ERROR")
return
if not isinstance(sep, str) or not sep:
yield("ERROR")
return
output = ... | Cizeur/Bootcamp_Python | day01/ex03/generator.py | generator.py | py | 1,574 | python | en | code | 0 | github-code | 13 |
31724254292 |
def f(stack):
result = stack.pop()
if len(stack) == 0:
return result
else:
last = f(stack)
stack.append(result)
return last
def reverse(stack):
if len(stack) == 0:
return
last = f(stack)
reverse(stack)
stack.append(last) | Zhouxinyu668/Algorithm | recurrent/reverse_stack.py | reverse_stack.py | py | 292 | python | en | code | 1 | github-code | 13 |
6485178565 | """
https://www.codeeval.com/open_challenges/82/
"""
def isArmstrongNumber(line):
"""Determine if armstrong
number """
squaredSum = 0
getNum = 0
for i in list(line):
i = i.strip()
if len(i) > 0:
getNum = int(line)
squaredSum += (int(i) ** len(line.strip()))... | elexie/Codeeval-python | easy/ArmstrongNumbers.py | ArmstrongNumbers.py | py | 491 | python | en | code | 0 | github-code | 13 |
26963586445 | # coding: utf-8
from http.client import IncompleteRead
from typing import List, Tuple
import tweepy
from loguru import logger
from tweepy import API, OAuthHandler, Stream
from urllib3.exceptions import ProtocolError, ReadTimeoutError
from .authapi import AuthApi
from .listener import ListenerConsole, ListenerDB
LOG... | Kydlaw/pumpy | pumpy/twitter_mining.py | twitter_mining.py | py | 6,769 | python | en | code | 1 | github-code | 13 |
22477766653 | from typing import Optional
import pytorch_lightning as pl
import segmentation_models_pytorch as smp
import torch.nn as nn
import torch.nn.functional
from src.metric.detection_f1 import DetectionF1Metric
from src.losses.negative_loss import NegativeLoss
from src.losses.combine_loss import CombineLoss
from src.losses.... | PUTvision/UAV-DOT-DETECT | src/model/regressor.py | regressor.py | py | 10,103 | python | en | code | 0 | github-code | 13 |
44466297211 | from binance.client import Client
import json
from datetime import datetime, timedelta, time
import time
import schedule
#Binance apì keys
api_key= ''
api_secret= ''
client = Client(api_key, api_secret)
# Symbol you wish to trade and price
symbol = 'BNBUSDT'
price = client.get_avg_price(symbol=symbol)
# initialize b... | PixelNoob/copernico | twap.py | twap.py | py | 975 | python | en | code | 0 | github-code | 13 |
41998448364 | class TicTacToe:
def __init__(self):
self.numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9]
self.divider = '_+_+_'
self.playerX = 'x'
self.playerO = 'o'
self.prompt = ' turn to chose a square (1-9): '
self.input = ''
self.turns = 0
def clear_input(self):
s... | vitorbarros/byu-cse210 | w01/prove_developer_solo_code_submission.py | prove_developer_solo_code_submission.py | py | 1,580 | python | en | code | 0 | github-code | 13 |
17387250812 | import socket
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.bind(('', 9999))
try :
while True :
data, addr = sock.recvfrom(1000)
data = "Hello "+data
sock.sendto(data, addr)
except KeyboardInterrupt :
sock.close()
| bhawiyuga/sister2016 | ipc/udp_simple_server.py | udp_simple_server.py | py | 241 | python | en | code | 0 | github-code | 13 |
74176772179 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Jan 15 09:49:22 2022
@author: gregz
"""
import numpy as np
from astropy.io import fits
import matplotlib.pyplot as plt
import os.path as op
from astropy.convolution import convolve, Gaussian2DKernel, Gaussian1DKernel
from astropy.table import Table
fro... | grzeimann/Panacea | sn_reduction_example.py | sn_reduction_example.py | py | 12,577 | python | en | code | 8 | github-code | 13 |
72752780177 | """
SJTU-AU333-数字图像处理-作业2边缘检测
"""
import cv2
import numpy as np
import matplotlib.pyplot as plt
from numpy import *
import os
from Smoothing import medianSmooth
# 支持中文标题
plt.rcParams['font.sans-serif']=['SimHei'] #显示中文标签
plt.rcParams['axes.unicode_minus']=False #这两行需要手动设置
# 输入输出目录与算子列表
srcpath = './MSGaussRes'
resp... | hahhforest/SmallProjects | DigitalImageProcessing/边缘检测/EdgeDetect.py | EdgeDetect.py | py | 5,706 | python | en | code | 0 | github-code | 13 |
41633358786 | """import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
from collections import namedtuple
n_groups = 3
means_alg = (20, 35, 30, 35, 27)
std_men = (2, 3, 4, 1, 2)
means_women = (25, 32, 34, 20, 25)
std_women = (3, 5, 2, 3, 3)
index = np.arange(n_groups)
bar_width = 0.35
o... | MrSpadala/Epic_VANET | grafici/top_car/graph-TC-emitters.py | graph-TC-emitters.py | py | 4,027 | python | en | code | 2 | github-code | 13 |
12653168420 | from matplotlib import pyplot as plt
from torchvision import transforms
from PyTorch_2.Faces import Faces_dataset
from PyTorch_2.Faces.Faces_show_landmarks import show_landmarks
from PyTorch_2.Faces.models.Transform import Rescale, RandomCrop
# 调用torchvision.transforms.Compose实现图片大小、数据格式转换
# 把图像的短边调整为256
scale = Resca... | Darling1116/Greeting_1116 | PyTorch_2/Faces/Faces_transform_test1.py | Faces_transform_test1.py | py | 986 | python | en | code | 0 | github-code | 13 |
12762850396 | '''APARTMENT BUILDING ADMINISTRATOR undolist.append(deepcopy(l))'''
def testInit(expenseslist): #10 items in the list at the begining of the execution
expenseslist.append((1, "gas", 100))
expenseslist.append((2, "water", 80))
expenseslist.append((2, "heating", 200))
expenseslist.append((2, "elect... | danalrds/FP | ddd/functions.py | functions.py | py | 15,070 | python | en | code | 0 | github-code | 13 |
6997733750 | # Indexable skip list
# __getitem__: returns k-th element, 0-indexed
# update: will not be used outside the class
# find: if used outside the class, returns the maximal element up to val
# insert: insert val
# remove: remove val
# iterate: show the structure of the list, use this to debug
class Node:
def ... | hongjun7/PythonAlgorithms | SkipList&Index.py | SkipList&Index.py | py | 2,925 | python | en | code | null | github-code | 13 |
10642385163 | import pyglet
from pyglet.window import key
import ratcave as rc
# Create Window
window = pyglet.window.Window(resizable=True)
keys = key.KeyStateHandler()
window.push_handlers(keys)
def update(dt):
pass
pyglet.clock.schedule(update)
# Insert filename into WavefrontReader.
obj_filename = rc.resources.obj_primit... | ratcave/ratcave | examples/solar_system.py | solar_system.py | py | 2,102 | python | en | code | 110 | github-code | 13 |
219611823 | """
import sys
from collections import deque
# sys.stdin = open("input.txt", 'r')
must = input()
n = int(input())
for i in range(1, n + 1):
course = input()
queue = deque()
for x in course:
if x in must and x not in queue:
queue.append(x)
if len(queue) != len(must):
print(... | ignis535/baekjoon | 자료구조(스택, 큐, 해쉬, 힙)/교육과정 설계.py | 교육과정 설계.py | py | 948 | python | en | code | 0 | github-code | 13 |
29204065835 | from math import sqrt
def is_square_pairs(n: int, cuts: list, squares: list) -> bool:
prev = cuts[-1]
if n == len(cuts):
# 全要素が埋まった
if (1 + prev) in squares:
# 最初の一つ（固定 1）と最後の一つの合計がが平方数である
print(f'Count: {n}, Cuts: {cuts}')
return True
else:
# 接続... | Sunao-Yoshii/StudyDocs | Books/math_pazzle/18_cut_cake.py | 18_cut_cake.py | py | 901 | python | ja | code | 0 | github-code | 13 |
27302787185 | import re
from converter.markdown.tabular import Tabular
class Tabularx(Tabular):
def __init__(self, latex_str, caret_token):
super().__init__(latex_str, caret_token)
self._table_re = re.compile(r"""\\begin{(?P<block_name>tabularx)}{(?P<settings>.*?)}
(?P<bloc... | codio/book-converter | converter/markdown/tabularx.py | tabularx.py | py | 465 | python | en | code | 2 | github-code | 13 |
2040469946 | import random
import time
import pygame
import numpy as np
# CONSTANTS
BLUE = (0,0,255)
WHITE = (0, 0, 0)
BACKGROUND = WHITE
FRAME_REFRESH_RATE = 60
DISPLAY_WIDTH = 640
DISPLAY_HEIGHT = 480
STARSHIP_SPEED = 3
max_meteor_speed = 4
INITIAL_NUMBER_OF_METEORS = 10
MAX_NUMBER_OF_CYCLES = 1000
NEW_METEOR_CYCLE_INTERVAL = ... | s276842/python-playground | pygame/Starship Meteors.py | Starship Meteors.py | py | 6,689 | python | en | code | 0 | github-code | 13 |
40918582748 | #Max Millar
#SoftDev1 pd06
#k25 -- Getting More REST
#2018-11-14
from flask import Flask, render_template
import json
from urllib import request
app = Flask(__name__)
@app.route('/')
def render_test():
data = json.loads((request.urlopen("https://en.wikipedia.org/w/api.php?action=parse&page=Barack_Obama&format=js... | stuymmillar/SoftDev | 25_rest/app.py | app.py | py | 635 | python | en | code | 0 | github-code | 13 |
5835105101 | import os
import sys
from dataclasses import dataclass
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score
from exception import CustomException
from logger import logging
from utils import save_object,evaluate_models
@dataclass
class ModelTrainerConfig:
... | pras-ops/Bank_Card_Prediction_Project | src/components/model_trainer.py | model_trainer.py | py | 2,310 | python | en | code | 0 | github-code | 13 |
41231002119 | import os
import nextcord
from nextcord.ext import commands
PREFIX = os.environ['PREFIX']
intents = nextcord.Intents.default()
intents.members = True
bot = commands.Bot(command_prefix=PREFIX, intents=intents)
@bot.event
async def on_ready():
print(f'{bot.user} is online!')
@bot.command()
async def ping(ctx):... | uhIgnacio-zz/heroku-example | src/main.py | main.py | py | 381 | python | en | code | 3 | github-code | 13 |
37451127020 | #defining data
#x colour is V-z k-corrected to z=0.9
#y colour is J-[3.6] k-corrected to z=0.9
#xcolour = (geec2['MAG_V']-geec2['KCORR09_V'])-(geec2['MAG_z']-geec2['KCORR09_z'])
#ycolour = (geec2['MAG_J']-geec2['KCORR09_J'])-(geec2['MAG_I1']-geec2['KCORR09_I1'])
xcolour = balogh_photoz['V-z']
ycolour = balogh_p... | PiercingDan/cosmos-analysis | Paste Scripts/Graphs/Old/balogh2geec2colour.py | balogh2geec2colour.py | py | 3,583 | python | en | code | 0 | github-code | 13 |
71948829457 | # 데이터 삽입 구현
katok = ['a','b','c','d','e']
def insert_data(position, friend) : # 삽입 함수
katok.append(None)
kLen = len(katok)
for i in range(kLen-1, position, -1) :
katok[i] = katok[i-1]
katok[i-1] = None
katok[position] = friend
insert_data(2, '솔라') # 2등 위치에 솔라를 넣어라
print(katok)
insert_... | handhak0/2021_python_multicampus | 00.Special_Lecture/Algorithm/Code03_02.py | Code03_02.py | py | 440 | python | ko | code | 1 | github-code | 13 |
28609562473 | #Question Link: https://takeuforward.org/data-structure/fractional-knapsack-problem-greedy-approach/
#Solution Link (Python3): https://practice.geeksforgeeks.org/viewSol.php?subId=05e09acc984333ecb672d8168ef5d475&pid=701365&user=tiabhi1999
#For complete code snippet and question, please refer GFG link (https://pra... | AbhiWorkswithFlutter/StriverSDESheet-Python3-Solutions | Striver SDE Sheet/Day 8/Fractional Knapsack Problem.py | Fractional Knapsack Problem.py | py | 1,174 | python | en | code | 3 | github-code | 13 |
11732811823 | from userProfileHandler import *
import userProfile
import time
class controller:
firstName = userProfile.getFirstName()
lastName = userProfile.getLastName()
phone = userProfile.getPhoneNumber()
address = userProfile.getAddress()
email = userProfile.getEmail()
user = makeUserProfile(firstName... | Oddant1/QR-MeNow | qrCodeController.py | qrCodeController.py | py | 829 | python | en | code | 0 | github-code | 13 |
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