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30905711413 | import pygame
from settings import Settings
from beatmap import Beatmap
from note import Note
from lane import Lane
class Rhythm:
def __init__(self, beatmap, resolution=(1280, 2000)):
pygame.mixer.pre_init(44100, -16, 2, 2048)
pygame.init()
pygame.mixer.init()
pygame.font.init()
... | zkxjzmswkwl/osu-mania-but-worse | main.py | main.py | py | 3,019 | python | en | code | 0 | github-code | 13 |
71004552977 | import argparse
import importlib
import logging
import os
import types
from dataclasses import dataclass
from typing import Tuple
import numpy as np
import pandas as pd
import torch
import torch.nn as nn
import torch.utils.data as data_utils
from tqdm import tqdm
from transformers import HerbertTokenizer, RobertaModel... | Kacprate/Intent-classification-Polish-language | test.py | test.py | py | 4,862 | python | en | code | 0 | github-code | 13 |
17755401630 | import atexit
import time
import requests
from requests.auth import HTTPBasicAuth
from .queues import _get_queue
from ..connection import get_connection
from ..utils import pprint, get_config
def publish_message(credentials: HTTPBasicAuth, uri: str, vhost: str, exchange: str, routing_key: str, message: str, output:... | brianou7/rabbitmqcli | rabbitmqcli/modules/exchanges.py | exchanges.py | py | 1,855 | python | en | code | 0 | github-code | 13 |
73603481296 | class Solution(object):
def lengthOfLongestSubstring(self, s):
"""
:type s: str
:rtype: int
"""
idx = [-1] * 256
length = 0
i = 0
for j in range(len(s)):
i = max(i, idx[ord(s[j])] + 1)
length = max(length, j - i + 1)
... | BenjaminAnding/leetcodesolutions | Medium/LongestSubstringWithoutRepeatingCharacters/LongestSubstringWithoutRepeatingCharacters.py | LongestSubstringWithoutRepeatingCharacters.py | py | 362 | python | en | code | 0 | github-code | 13 |
10976822103 | # -*- coding: utf-8 -*-
"""
Created on Tue May 26 14:41:28 2020
@author: luist
"""
import numpy.random as rng
import numpy as np
import keras
from sklearn.linear_model import LinearRegression
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier
from skle... | larngroup/One_Shot_Siamese_Net_Drug_Discovery | Validate_models.py | Validate_models.py | py | 5,517 | python | en | code | 2 | github-code | 13 |
38720252962 | import os
import sys
import numpy as np
ignore_attrs=['True Label','CHR','Nuc-Pos','REF-Nuc','ALT-Nuc','Ensembl-Gene-ID','Uniprot-Accession']
#id_names=["Ensembl_geneid","Uniprot_id_Polyphen2"]
#id_names_prefix=["ENSMNL","Uniprot_id_Polyphen2"]
label_name="True Label"
def is_nan_symbol(el):
return el=="" or el=="-"... | clinfo/PathoGN | script/03totable.py | 03totable.py | py | 1,801 | python | en | code | 1 | github-code | 13 |
26068889668 | n = int(input())
array = [-1 for i in range(n)]
oper = []
tmp = input().split()
while tmp[0] != 'S' :
oper.append(tmp)
tmp = input().split()
def is_connected(oper1, oper2, array):
if Counter(array)[-1] == 0:
return 'yes'
father1 = oper1
while array[father1] != -1:
father1 = array[fa... | piglaker/PTA_ZJU_mooc | src13.py | src13.py | py | 1,490 | python | en | code | 0 | github-code | 13 |
7147556099 | import OpenGL.GL as gl
class Texture(object):
def __init__(self, data=None, width=None, height=None,
filt=gl.GL_NEAREST, dtype=gl.GL_UNSIGNED_BYTE):
""" Texture object.
If data is None an empty texture will be created
"""
self._data = data
# format of ... | ElsevierSoftwareX/SOFTX_2018_174 | fieldanimation/texture.py | texture.py | py | 2,453 | python | en | code | 1 | github-code | 13 |
34141176062 | import pandas as pd
import numpy as np
import tensorflow as tf
from biom import load_table
from tensorflow import keras
from keras.layers import MultiHeadAttention, LayerNormalization, Dropout, Layer
from keras.layers import Embedding, Input, GlobalAveragePooling1D, Dense
from keras.models import Sequential, Model
BAT... | kwcantrell/scale-16s | transformer-util.py | transformer-util.py | py | 2,166 | python | en | code | 0 | github-code | 13 |
39871266214 | """Integration tests for the kingpin.actors.support.api module"""
from nose.plugins.attrib import attr
from tornado import testing
from tornado import httpclient
from kingpin.actors import exceptions
from kingpin.actors.support import api
__author__ = 'Matt Wise <matt@nextdoor.com>'
HTTPBIN = {
'path': '/',
... | smmorneau/kingpin | kingpin/actors/support/test/integration_api.py | integration_api.py | py | 5,538 | python | en | code | null | github-code | 13 |
28303152448 | import json
from tqdm import tqdm
import concurrent.futures
from costante_gral import URL_BASE, RUTA_BUSQUEDA, RUTA_DATOS, RUTA_INFORMES
from funciones.api import consumir_api
from funciones.csv_funciones import guardar_csv
from funciones.json_funciones import leer_json, guardar_json
from funciones.parses import parse_... | leosant027/proyecto_hiper | funciones/producto.py | producto.py | py | 2,439 | python | es | code | 0 | github-code | 13 |
30880992898 | def raizCuadradaEnt (numero):
valor=0
if (numero ==0):
return numero
i=1
while(i*i <= numero): ## complejidad O(log N)
i*=2 #voy multiplicando por 2
valor= busquedaBinaria(numero,i//2,i) #cuando me pase, llamo a la busqueda.
## uso // pues quiero un resultado entero, sino tendria que c... | eduardost/p3 | raizCuadradaEnt.py | raizCuadradaEnt.py | py | 826 | python | es | code | 0 | github-code | 13 |
17054446894 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.DiscountInfos import DiscountInfos
from alipay.aop.api.domain.DishList import DishList
from alipay.aop.api.domain.OtherAmountInfos import OtherAmountInfos
from alipay.aop.api.domain... | alipay/alipay-sdk-python-all | alipay/aop/api/domain/KoubeiCateringOrderSyncModel.py | KoubeiCateringOrderSyncModel.py | py | 20,534 | python | en | code | 241 | github-code | 13 |
17015102955 | from collections import defaultdict
from typing import DefaultDict, List, Tuple
from queue import Queue
def bfs(graph: DefaultDict[int, List[int]], num_nodes: int) -> List[int]:
result = []
seen = defaultdict(bool)
q = Queue()
q.put(0)
seen[0] = True
while not q.empty():
node_id = ... | chrisjdavie/interview_practice | geeksforgeeks/graph/bfs/iterative/run.py | run.py | py | 776 | python | en | code | 0 | github-code | 13 |
26783638804 | """
One-time migration script from sqlalchemy models and sqlite database to custom ORM & PostgreSQL.
Not designed to work as part of the regular alembic system, merely placed here for archive purposes.
Should never need to run this again.
2021-05-03
"""
from datetime import datetime, timedelta
import sqlite3
from d... | r-anime/modbot | scripts/frontpage_sqlite_migration.py | frontpage_sqlite_migration.py | py | 4,011 | python | en | code | 3 | github-code | 13 |
36461137075 | from csv import reader
if __name__ == '__main__':
with open('prog1.csv', 'r') as emp_obj:
# pass the file object to reader() to get the reader object
csv_emp = reader(emp_obj)
my_dict = {}
header = next(csv_emp)
if header != None:
list = []
for row in csv... | Anushadsilva/python_practice | dictionary/csv_read2.py | csv_read2.py | py | 1,435 | python | en | code | 0 | github-code | 13 |
26348800393 | # Calculate the multiplication and sum of two numbers
# Given two integer numbers return their product only if the product is equal to or lower than 1000, else return their sum.
number1 = int(input("Give the first number \n"))
number2 = int(input("Give the Second number"))
result = number1 * number2
if result <= 1000:
... | suniledupuganti/Python_Basics | Exercise1.py | Exercise1.py | py | 475 | python | en | code | 0 | github-code | 13 |
29581534605 | from helpers.mock_data import gen_array
from search import linear_search, binary_search, exponential_search, interpolation_search
from sort import quick_sort
def test_linear_search():
array = gen_array(length=10)
item = linear_search(array=array, element=array[5])
assert item == 5, item
def test_binary_... | LANneeer/algorithms | test/test_search.py | test_search.py | py | 1,071 | python | en | code | 0 | github-code | 13 |
39230222973 | import os
import subprocess
import sys
import tempfile
from lxml import etree
log = sys.stderr.write
trans = {i: i + "_" for i in ("node", "graph", "subgraph", "edge")}
def dotgraph(xml_, output=None, links_only=False, title=""):
dot = makedot(xml_, links_only=links_only, title=title)
if output:
w... | tbnorth/dml | dml/dotgraph.py | dotgraph.py | py | 5,155 | python | en | code | 0 | github-code | 13 |
38020634878 | from AthenaCommon.Logging import logging
logConfigDigitization = logging.getLogger( 'ConfigDigitization' )
#check job configuration
from Digitization.DigiConfigCheckers import checkDetFlagConfiguration
checkDetFlagConfiguration()
#Pool input
from AthenaCommon.AppMgr import ServiceMgr
if not hasattr(ServiceMgr, 'Even... | rushioda/PIXELVALID_athena | athena/Simulation/Digitization/share/ConfigDigitization.py | ConfigDigitization.py | py | 6,099 | python | en | code | 1 | github-code | 13 |
39255234691 |
ROCK = 0
PAPER = 1
SCISSORS = 3
type_score = [1, 2, 3]
LOST = 0
DRAW = 1
WON = 2
win_score = [0, 3, 6]
hands = {'A' : 0, 'B' : 1, 'C' : 2, 'X' : 0, 'Y' : 1, 'Z' : 2}
win_values = [-2, 1]
win_hands = {'A': 'Y', 'B': 'Z', 'C': 'X'}
lose_hands = {'A': 'Z', 'B': 'X', 'C': 'Y'}
def win(you, me):
if you == me:
... | orikam/advantcoding_2022 | day2/d2q1.py | d2q1.py | py | 948 | python | en | code | 0 | github-code | 13 |
11900178154 |
import numpy as np
import tensorflow as tf
import os
from dataloader import DataLoader
import utils
from Networks.imagenet_traintest import TrainTestHelper
import argparse
def train(dataloader, trainer, validator, batches, max_iteration, print_freq):
np.random.seed(1234)
tf.random.set_seed(1234)
tra... | LotanLevy/ImageNetFineTuning | imagenet_fine_tuning.py | imagenet_fine_tuning.py | py | 3,972 | python | en | code | 0 | github-code | 13 |
21263885236 | from operator import attrgetter
class Business(object):
def __init__(self, chain_name, location, id):
self.chain_name = chain_name
self.location = location
self.id = id
class Chain(object):
def __init__(self, chain_name, frequency):
self.chain_name = chain_name
self.f... | sundaycat/Leetcode-Practice | legacy/Interview Preparation/BusinessChain.py | BusinessChain.py | py | 4,457 | python | en | code | 0 | github-code | 13 |
21094385541 | from ipdb import set_trace
from os import system
from pprint import pp
from helpers import term_wrap, star_line, center_string_stars
# ! BIG O NOTATION
# * TIME COMPLEXITY
class ConstantTime(): # O(1)
def first_func(self): # TOTAL OPS => O(6)
x = 1 # O(1)
y = 2 # O(1)
... | rothberry/west-050123-live | 4-phase/06-big-o/lib/big_o.py | big_o.py | py | 4,333 | python | en | code | 0 | github-code | 13 |
25141396493 | import re
from flask import json
from tools.datetime_convertations import DateTime
from tools.for_db.work_with_booking_info import query_booking_info_by_id
from tools.for_db.work_with_links import add_link
from tools.for_db.work_with_slots import add_slot_and_get_id
start = '2021-10-07T15:00:56.273Z'
end = '2021-10-... | meetingbook/meetingbook | backend/tests/test_guest_calendars.py | test_guest_calendars.py | py | 4,413 | python | en | code | 3 | github-code | 13 |
35224837284 | import cv2
import torch
from detectron2.engine import DefaultPredictor
from detectron2 import model_zoo
from detectron2.config import get_cfg
cfg = get_cfg()
cfg.MODEL.DEVICE = 'cpu'
cfg.merge_from_file(
model_zoo.get_config_file("COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml"),
)
cfg.DATALOADER.NUM_WORKERS... | vinaykudari/car-health-score | api/helper.py | helper.py | py | 1,672 | python | en | code | 0 | github-code | 13 |
9350585295 | #!/usr/bin/python3
from fontParts.world import *
import sys
# Open UFO
ufo = sys.argv[1]
font = OpenFont(ufo)
print(f'Kern virama in {ufo}')
# Modify UFO
kern = int(sys.argv[2])
virama = font['virama']
# virama.leftMargin += kern
for contour in virama.contours:
for point in contour.points:
if point.x < 0... | nlci/knda-font-badami | tools/kern_virama.py | kern_virama.py | py | 573 | python | en | code | 3 | github-code | 13 |
72732857939 | from rivertopo.burning import burn_lines
from osgeo import gdal, ogr
import argparse
import logging
import numpy as np
# Entry point for use in setup.py
def main():
argument_parser = argparse.ArgumentParser()
argument_parser.add_argument('lines', type=str, help='linestring features with DEM-sampled Z')
ar... | SDFIdk/rivertopo | rivertopo/burn_line_z.py | burn_line_z.py | py | 2,534 | python | en | code | 3 | github-code | 13 |
14791914603 | import random
def create_deck():
deck = []
for i in range(2, 11):
for e in ('C', 'P', 'B', 'X'):
deck.append(str(i)+e)
for i in ('V', 'D', 'K', 'T'):
for e in ('C', 'P', 'B', 'X'):
deck.append(i+e)
return deck
def start(deck):
hand = []
for i in range(2):... | Anakkobitskaya/Anak | jed.py | jed.py | py | 503 | python | en | code | 0 | github-code | 13 |
39403268082 | """Matcha repository - search and recommend"""
from datetime import date
from databases.interfaces import Record
from backend.models import models_enums, models_matcha, models_user
from backend.repositories import (BaseAsyncRepository, postgres_reconnect,
repo_interfaces)
from backe... | LsHanaha/matcha | backend/repositories/repo_matcha.py | repo_matcha.py | py | 9,000 | python | en | code | 2 | github-code | 13 |
2968899230 | import pyglet.gl as GL
from numpy.random import randint
class Pipe():
def __init__(self, x, size, height):
"""Class that defines a pair of pipes, top and bottom."""
self.x, self.height, self.size = x, height, size
self.spacing = randint(low=2*self.size, high=4*self.size)
self.veloc... | israelcamp/GeneticAlgorithms | FlappyPacman/pipe.py | pipe.py | py | 1,204 | python | en | code | 0 | github-code | 13 |
689794044 | ########################################################
# Rename new names in MCWeightDict to old one
#
# If you want to use old names in I3MCWeightDict,
# add this module just before your hdfwriter (or rootwriter)
#
from icecube import icetray, dataclasses
import math
class fill_old_weights(icetray.I3ConditionalMo... | wardVD/IceSimV05 | src/neutrino-generator/resources/examples/fill_old_weights.py | fill_old_weights.py | py | 1,625 | python | en | code | 1 | github-code | 13 |
71685105619 | import math
class Item:
def __init__(self, image, x, y):
self.image = image
self.x = x
self.y = y
self.size = (image.get_height()+image.get_width())/2
def collides(self, other):
if math.sqrt((self.x-other.x)*(self.x-other.x)+ \
(self.y-other.y)*(self.y-other.y... | JoePrezioso/NeuroPi | neuropi/objects.py | objects.py | py | 394 | python | en | code | 12 | github-code | 13 |
10313430445 | import pandas as pd
customers = pd.read_csv("noahs-customers.csv")
products = pd.read_csv("noahs-products.csv")
# they bought the same thing at the same time, except diff colours
orders = pd.read_csv("noahs-orders.csv")
orders_items = pd.read_csv("noahs-orders_items.csv")
# only items in-store
orders = orders[orders... | wolframalexa/HanukkahOfData | day7.py | day7.py | py | 1,850 | python | en | code | 1 | github-code | 13 |
24991415636 | # A complication by Ben
# Since this isn't timed, I'll put in comments.
import sys
l = [list(map(int, s.strip())) for s in sys.stdin] # the initial world
def step(old):
new = [[i + 1 for i in x] for x in old]
extinct = set() # extinction set--positions that have already flashed
nxt, fla = doflashes(new, ... | Grissess/aoc2021 | day11c.py | day11c.py | py | 2,296 | python | en | code | 0 | github-code | 13 |
19351970326 | #! /usr/bin/env python
import argparse
from collections import defaultdict
from tools import templates
from tools.experiment_parser import parse_all
from tools.table_generator import format_table
SEPARATE_EF = True
def kmer_to_read_coverage(c, k, read_length=100):
if c is not None:
return c * read_lengt... | mhozza/covest | tools/experiment_table.py | experiment_table.py | py | 4,557 | python | en | code | 5 | github-code | 13 |
9678999510 | #!/usr/bin/env python
# coding: utf-8
# In[39]:
import numpy as np
# import time as time
# In[40]:
def Rdecomp (MD, OD):
alpha=np.ones(len(MD))
beta=np.ones(len(OD))
alpha[0]=(MD[0])**0.5
# tic=time.time()
for i in range(len(OD)):
beta[i]= OD[i]/alpha[i]
alpha[i+1] = (MD[i+1]-... | MobinaSedaghat/Exercises | Alliance/Assignment 1, Exercise 3, Part 7&8- Efficient Version.py | Assignment 1, Exercise 3, Part 7&8- Efficient Version.py | py | 1,032 | python | en | code | 0 | github-code | 13 |
35219274365 | import time
import numpy as np
import cupy as cp
from cupy.cuda import Device
from cupy.cuda.runtime import getDeviceCount
from ..common import _start, _finish
# 計測開始
def start(method_name: str = '', k: int = None) -> float:
_start(method_name, k)
return time.perf_counter()
# 計測終了
def finish(start_time: f... | 5enxia/parallel-krylov | v3/gpu/common.py | common.py | py | 3,653 | python | en | code | 1 | github-code | 13 |
10155745334 | from collections import defaultdict
import itertools
class determinizeAFND:
def __init__(self, pTokens):
self.NameFile = 'tokens.txt' #ptokens
self.states = 0
self.done = False
self.automaton = defaultdict(list)
self.mapGramatic = {}
self.symbols = list()
se... | Ivairpuerari/Compiladores | Afnd.py | Afnd.py | py | 14,129 | python | en | code | 0 | github-code | 13 |
11097993345 | year_tax = int(input())
tennis_racquets = int(input())
sneaker_pairs = int(input())
sneakers = year_tax / 6
tracksuit = sneaker_pairs * 0.80
basketball = tracksuit * 1/4
accessories = basketball * 1/5
total = year_tax + sneakers + tracksuit + basketball + accessories
price_djokovic = total / 8
sponsor = total * 7/8
... | tanchevtony/SoftUni_Python_basic | More exercises/exam 9-10 march 2019/01 basketball equipment.py | 01 basketball equipment.py | py | 425 | python | en | code | 0 | github-code | 13 |
30138442802 | from tests.base import ApiDBTestCase
from zou.app.utils import fields
from zou.app.models.project import Project
class ProjectTestCase(ApiDBTestCase):
def setUp(self):
super(ProjectTestCase, self).setUp()
self.generate_fixture_project_status()
self.generate_fixture_project()
self.... | cgwire/zou | tests/models/test_project.py | test_project.py | py | 3,215 | python | en | code | 152 | github-code | 13 |
72545240659 | # create by fanfan on 2018/8/15 0015
import os
from glob import glob
import numpy as np
from scipy.misc import imread
import tensorflow as tf
import math
from tensorflow.contrib.layers import conv2d as conv2d_1
from tensorflow.contrib.layers import conv2d_transpose
from tensorflow.contrib.layers import fully_connected... | fanfanfeng/nlp_research | GAN/cartoon/dcgan1.py | dcgan1.py | py | 27,183 | python | en | code | 8 | github-code | 13 |
33817370006 | import os, stat
#-------------#
# Import Vars #
#-------------#
Import('*')
#---------#
# Sources #
#---------#
src = []
for root, dirs, files in os.walk("."):
if root.find('.svn') == -1:
for file in [f for f in files if not f.endswith('~')]:
src.append(os.path.join(root, file))
install = env.Insta... | vtereshkov/vdrift-data-short | data/SConscript | SConscript | 1,159 | python | en | code | 0 | github-code | 13 | |
71685850579 | import json
import logging
import time
import flask
import flask_cors
import numpy as np
import podsearch
import scann
import transformers
log = logging.getLogger(__name__)
search_fn = None
def load_search_fn():
global search_fn
if search_fn is not None:
return
load_search_fn_in_progress = Tru... | joepatmckenna/podsearch | py/podsearch/services/search_v1.py | search_v1.py | py | 1,931 | python | en | code | 0 | github-code | 13 |
70149606738 | import csv
import logging
from dataclasses import dataclass
from pathlib import Path
from PIL import Image
from tqdm import tqdm
logging.basicConfig(filename='ViVQA_sanity_check.log',
filemode='w',
format='%(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger()
l... | dinhanhx/VL-datasets | vivqa_data.py | vivqa_data.py | py | 4,461 | python | en | code | 1 | github-code | 13 |
23989928630 | import torch
DEFAULT_DEVICE = 'cuda:0' if torch.cuda.is_available() else 'cpu'
from durbango.nb_utils import is_iterable
def num_parameters(module, only_trainable: bool = False) -> int:
"""
Get number of (optionally, trainable) parameters in the module.
"""
params = filter(lambda x: x.requires_grad, mo... | sshleifer/durbango | durbango/torch_utils.py | torch_utils.py | py | 5,385 | python | en | code | 3 | github-code | 13 |
17537756502 | import networkx as nx
from cdlib import algorithms, evaluation, NodeClustering, TemporalClustering
# communities number to be taken from louvain to be used in temporal clustering
communities_number = 5
# score to be taken in consideration, starting from the value set
score_lower_limit = 0.5
def get_communities(netwo... | FilipeHenrique/DNMV-Dynamic-Networks-Modeling-and-Visualization | pipeline/report.py | report.py | py | 3,628 | python | en | code | 0 | github-code | 13 |
24268074446 | import pandas as pd
import numpy as np
from settings import perch_config,rsna_config,chestray_config,label_var,path_var,label_sep
import json
import os
class Dataset:
def __init__(self,train_csv,test_csv=None,multilabel=False):
self.train_csv=train_csv
self.test_csv=test_csv
self.train=pd.... | pmwaniki/perch-analysis | data/datasets.py | datasets.py | py | 2,575 | python | en | code | 0 | github-code | 13 |
29784234280 | from model.contact import New_contact
import re
class ContactHelper:
def __init__(self, app):
self.app = app
def open_home_page(self):
wd = self.app.wd
if not (wd.current_url == "http://localhost/addressbook/" and len(wd.find_elements_by_name("add")) > 0):
wd.find_element_... | TheMastere/PDT_training_b14 | fixture/contact.py | contact.py | py | 9,362 | python | en | code | 0 | github-code | 13 |
41633657269 | """
This file is part of nand2tetris, as taught in The Hebrew University, and
was written by Aviv Yaish. It is an extension to the specifications given
[here](https://www.nand2tetris.org) (Shimon Schocken and Noam Nisan, 2017),
as allowed by the Creative Common Attribution-NonCommercial-ShareAlike 3.0
Unported [License... | xrahoo/nand2tetris-python | 10/compilation_engine.py | compilation_engine.py | py | 15,493 | python | en | code | 6 | github-code | 13 |
34785463338 | from rct229.rulesets.ashrae9012019.data.schema_enums import schema_enums
from rct229.utils.jsonpath_utils import find_all, find_one
from rct229.utils.utility_functions import find_exactly_one_hvac_system
EXTERNAL_FLUID_SOURCE = schema_enums["ExternalFluidSourceOptions"]
def is_hvac_sys_fluid_loop_purchased_heating(r... | pnnl/ruleset-checking-tool | rct229/rulesets/ashrae9012019/ruleset_functions/baseline_systems/baseline_hvac_sub_functions/is_hvac_sys_fluid_loop_purchased_heating.py | is_hvac_sys_fluid_loop_purchased_heating.py | py | 1,640 | python | en | code | 6 | github-code | 13 |
17079770464 | # -*- coding: utf-8 -*-
from odoo import models, fields, api
class Courses_course(models.Model):
_name = 'courses.course'
_description = 'Courses'
name = fields.Char('Title', required=True)
professor = fields.Char('Professor', required=True)
price = fields.Float('Price', required=True)
date_i... | jdolz/Courses_app_Odoo | models/courses_app.py | courses_app.py | py | 807 | python | en | code | 0 | github-code | 13 |
8097424777 | import cv2
def create_dir(_dir) -> str:
"""
Create directory if it doesn't exist
Args:
_dir: str
"""
import os
if not os.path.exists(_dir):
os.makedirs(_dir)
return _dir
def create_video_writer(video_path, output_path, fps=None) -> cv2.VideoWriter:
"""
This func... | akashAD98/autoflip_py_yolo | utils.py | utils.py | py | 1,024 | python | en | code | 1 | github-code | 13 |
27710475620 | #!/usr/bin/env python
# Author: Guillaume VIDOT
#
# This file is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import re
import argparse
import numpy as np
import logging
import pickle
from learner.attack_gradient_descent_learner import AttackGradientDescentLearner
f... | paulviallard/NeurIPS21-PB-Robustness | learn_model.py | learn_model.py | py | 8,922 | python | en | code | 4 | github-code | 13 |
5608168526 | from django.http import HttpResponse
from django.shortcuts import render
# Create your views here.
from django.template import loader
from Three.models import Student, Grade
def index(request):
three_index = loader.get_template("three_index.html")
context = {
"student_name": "TOM",
}
# 下边用ren... | wkiii/HelloDjango | Three/views.py | views.py | py | 937 | python | en | code | 0 | github-code | 13 |
33608340862 | import random
from random import randint, sample
import datetime
print('Добро пожаловать в казино')
start = datetime.datetime.now()
try:
cash = int(input('Внесите вашу ставку '))
print(f'Вы внесли - {cash}')
if cash <= 0:
print('Не пытайтесь меня обмануть вводите нормальные деньги!')
except:
pri... | narmuhamedov/alexander | lesson7.1.py | lesson7.1.py | py | 1,478 | python | ru | code | 0 | github-code | 13 |
75056464016 | # Filename: q6_determine_prime.py
# Author: Jason Hong
# Created: 20130222
# Modified: 20120222
# Description: Program to determine whether an intger is a prime number
from math import *
def is_prime(n):
for d in range (2, int(sqrt(n)+1)):
if n % d == 0:
return False
return True
a = 0
b =... | xJINC/cpy5python | practical03/q6_determine_prime.py | q6_determine_prime.py | py | 593 | python | en | code | 0 | github-code | 13 |
42223805611 | import datetime
import logging
DATE_FORMAT = '%d.%m.%Y %H:%M%p'
logger = logging.getLogger()
def parse_date(date: str) -> datetime.datetime:
if date is None:
return None
date: datetime = datetime.datetime.strptime(date, DATE_FORMAT)
logger.debug("parsed date:{}".format(date))
return date
| alonastik/esmi | esmi/utils.py | utils.py | py | 318 | python | en | code | null | github-code | 13 |
41634416046 | """
negative_paren
--------------
Given a file as input, treat each '(' as 1, and each ')' as -1. Print out
position when the running sum becomes negative.
Day 1 of the 2015 Advent of Code game!
"""
from __future__ import print_function
import os
import sys
import argparse
def find_neg_paren(paren_str):
"""
... | briehl/advent-of-code | 2015/day1/negative_paren.py | negative_paren.py | py | 1,476 | python | en | code | 0 | github-code | 13 |
6489541743 | # -*- coding: utf-8 -*-
"""
Created on Wed Feb 3 10:46:13 2021
This python module holds basic functions needed for data preprocessing of
meteorological measurements from LoggerNet (in the form of .dat files ).
The main utilities are to calculate downwelling longwave radiation from
measured body temperature, to... | geovetarcentrum/climate-stations | python/utils.py | utils.py | py | 14,276 | python | en | code | 1 | github-code | 13 |
73755488657 | # Create Error Types
class DuplicateError(Exception):
"""Raised when there is a duplicate of a node."""
pass
class NodeDoesNotExist(Exception):
"""Raised when a node does not exist."""
pass
class IDsDoNotMatch(Exception):
"""Raised when two IDs do not match."""
pass
class EmptyTreeError(Excep... | Fyssion/PyBinaryTree | bintree/binarytree.py | binarytree.py | py | 12,967 | python | en | code | 1 | github-code | 13 |
12329900278 | #
# @lc app=leetcode.cn id=71 lang=python
#
# [71] 简化路径
#
# @lc code=start
class Solution(object):
def simplifyPath(self, path):
"""
:type path: str
:rtype: str
"""
item_list = path.split("/")
stack = []
for item in item_list:
if len(item) == 0:
... | Llunch4w/leetcode-cn | 71.简化路径.py | 71.简化路径.py | py | 607 | python | en | code | 0 | github-code | 13 |
24769990971 | # context checking
# "r" will put return at new line, and reversed othervise
# custom command execution
# "rs" will result re.search plus inserting "import" at beginning
# call from snippet palette
for element in set:
_process(element) | shagabutdinov/sublime-snippet-caller | demo/demo.py | demo.py | py | 241 | python | en | code | 6 | github-code | 13 |
133402702 | import math
def floyd(n: int) -> int:
def simple_trial_div(n: int) -> int:
small_primes = (2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47)
return next((prime_number for prime_number in small_primes if n % prime_number == 0), n)
def gcd(a: int, b: int) -> int:
wh... | whitearmorq/lab1_ivanilov | factorize.py | factorize.py | py | 1,139 | python | en | code | 0 | github-code | 13 |
74667626897 | import streamlit as st
import pandas as pd
formatacao_colunas={
"operadora": st.column_config.SelectboxColumn(
"Operadora",
help="Operadora: 0=Nenhuma 1=Claro 2=BR-Digital",
width="small",
required=True,
default="0",
options=[
"0",
... | danielcancelier/deslig | grid.py | grid.py | py | 1,793 | python | en | code | 0 | github-code | 13 |
37787161906 | def merge_sort(numbers_list):
# Checking that the length of the (split) list is grater than 1
if len(numbers_list) > 1:
# Calculate the middle point
t = len(numbers_list) // 2
# Dividing the list of numbers, recursively pass it to merge_sort and making it iterable
# Instead of us... | lmartinez7/masters | module_i/assignments/fucking sorting thing/fucksort2.py | fucksort2.py | py | 1,533 | python | en | code | 0 | github-code | 13 |
35834259559 | import numpy as np
import matplotlib.pyplot as plt
from genome_plot import CircosObject
import argparse
def parse_nodes(nodes_fn):
nodes = []
for line in open(nodes_fn,"r"):
fields = line.strip().split("\t")
name = fields[0]
length = float(fields[1])
try:
co... | kylessmith/python_circos | python_circos/python_circos.py | python_circos.py | py | 1,643 | python | en | code | 1 | github-code | 13 |
20182534822 | import random
from pygame import image, Color
from random import randint
from math import sqrt
moveimage = image.load('images/move_map.png')
dotimage = image.load('images/dot_map.png')
#(x,y),(index to move) -> miejsca na mapie do których duszki mogą się przenieś
map_point=[((35,100),(1,6)),
((130,100),(0... | hadesto92/CursGame-Python | gold_pacman/map.py | map.py | py | 5,890 | python | en | code | 0 | github-code | 13 |
24724731536 | from os import system
import alminer
import pandas as pd
from astroquery.alma import Alma
from astropy.io import fits
import numpy as np
import os
# Below license is for ALminer since we have modified some code from there
"""
MIT License
Copyright (c) 2021 Aida Ahmadi , Alvaro Hacar
Permission is hereby granted , fr... | nkatshiba/Alma-bachelor-project | alma-classifier/alma_classifier/data_acquisition/alminer_mod.py | alminer_mod.py | py | 10,072 | python | en | code | 0 | github-code | 13 |
14275574486 | import bpy
import bmesh
import math
from . import object_manager
from . import settings_manager
def set_normals_to_outside(context, objects, only_recalculate_if_flagged = True):
'''
Set normals of objects so that they point outside of the mesh
(convex direction).
Set normals is an issue with planes, ... | Tilapiatsu/blender-custom_config | scripts/addon_library/local/BystedtsBlenderBaker/mesh_manager.py | mesh_manager.py | py | 5,907 | python | en | code | 5 | github-code | 13 |
42904322000 | import cv2
from object_detector import *
import numpy as np
import pyrebase
config={
"apiKey": "AIzaSyC89FK4pNLaftno-VAKpCPJVQxIKDi7ung",
"authDomain": "pythondbtest-8bff7.firebaseapp.com",
"databaseURL": "https://pythondbtest-8bff7-default-rtdb.firebaseio.com",
"databseURL":"https://pythondbt... | roysonLobo/fishSizeAndWeight | measure_object_size.py | measure_object_size.py | py | 2,840 | python | en | code | 0 | github-code | 13 |
37882382440 | from collections import defaultdict, deque
read = lambda: int(input())
readline = lambda: list(map(int, input().split()))
APPLE = 1
rotates = defaultdict(str)
N = read()
K = read()
board = [[0] * (N + 1) for _ in range(N + 1)]
for _ in range(K):
r, c = readline()
board[r][c] = APPLE
L = read()
for _ in range... | kod4284/kod-algo-note | 백준/3190-뱀/solution.py | solution.py | py | 1,186 | python | en | code | 0 | github-code | 13 |
69899904657 | #!/usr/local/bin/python3
#coding: utf-8
#extrac
##################################################################################################################################################################
# Created on 21 de Julho de 2021
#
# Projeto base: Banco Braavos
# Repositorio: Origem
# Author:... | batestin1/SPARK | script/create_dataset.py | create_dataset.py | py | 16,595 | python | en | code | 4 | github-code | 13 |
31466468712 | # Given a binary tree
# struct TreeLinkNode {
# TreeLinkNode *left;
# TreeLinkNode *right;
# TreeLinkNode *next;
# }
# Populate each next pointer to point to its next right node. If there is no next right node, the next pointer should be set to NULL.
# Initially, all next pointers are set to... | han8909227/leetcode | tree/sibling_pointer_lc116.py | sibling_pointer_lc116.py | py | 1,569 | python | en | code | 3 | github-code | 13 |
39481178645 | from functools import reduce
def filemap(filename, func = int, sep='\n'):
'''
Reads in the filename and returns a list with all the rows mapped by
the function func, which defaults to int(). That is returns
a list containing one integer for every row of the file with def arguments.
'''
with op... | kordaniel/AoC | 2020/helpers.py | helpers.py | py | 1,064 | python | en | code | 0 | github-code | 13 |
24682455594 | import numpy as np
from sklearn import datasets
from sklearn import metrics
from sklearn import model_selection as modsel
from sklearn import linear_model
import matplotlib.pyplot as plt
plt.style.use('ggplot')
boston = datasets.load_boston()
linreg = linear_model.LinearRegression()
X_train, X_test, y_train, y_test ... | fw23t9/MachineLearningStudy | 2.Linear regression/boston.py | boston.py | py | 937 | python | en | code | 0 | github-code | 13 |
74436839698 | from luxcena_neo import NeoBehaviour, FloatVariable, IntegerVariable, ColorVariable, BooleanVariable
from time import perf_counter
class Main(NeoBehaviour):
def declare_variables(self):
self.declare(FloatVariable("delay", 0.07, min_val=0.000001, max_val=0.5, step=0.000001))
self.declare(IntegerVar... | JakobST1n/Luxcena-Neo | NeoRuntime/builtin/strobe/script.py | script.py | py | 1,418 | python | en | code | 0 | github-code | 13 |
18610843143 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="lorem_ipsum_auth",
version="1.0",
author="Adrian Dolha",
packages=[],
author_email="adriandolha@eyahoo.com",
description="Lorem Ipsum Demo App Auth",
long_description=long_descript... | adriandolha/cloud-demo | lorem-ipsum/lorem-ipsum-authentication/setup.py | setup.py | py | 494 | python | en | code | 0 | github-code | 13 |
14799395488 | from fastapi import FastAPI
import uvicorn
from endpoints import sql, create_er_diagram, get_schema
from fastapi.middleware.cors import CORSMiddleware
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
app.i... | Forwall100/queryquest | backend/sqlite_query_service/main.py | main.py | py | 526 | python | en | code | 0 | github-code | 13 |
32270420943 | # -*- coding: utf-8 -*-
"""
Created on Fri Jan 21 11:08:14 2022
@author: sarak
"""
def main():
fname = ['Graham', 'Eric', 'Terry', 'Terry', 'John', 'Michael']
lname = ['Chapman', 'Idle', 'Gilliam', 'Jones', 'Cleese', 'Palin']
born = ['8 January 1941', '29 March 1943', '22 November 1940', '1 February 1942'... | sara-kassani/1000_Python_example | 11_functional_programming/21_zip.py | 21_zip.py | py | 932 | python | en | code | 1 | github-code | 13 |
22991386993 | """
ID: vip_1001
LANG: PYTHON3
TASK: milk
"""
def left(string):
rs = int(string[0:string.find(" ")])
return rs
def right(string):
rs = int(string[string.find(" ")+1:len(string)])
return rs
def takeFirst(elem):
return elem[0]
inputfile = open("milk.in", "r").readlines()
outputfile = open("milk.out", ... | JacquesVonHamsterviel/USACO | 11.milk/milk.py | milk.py | py | 1,238 | python | en | code | 0 | github-code | 13 |
74564326738 | """
_ResultSet_
A class to read in a SQLAlchemy result proxy and hold the data, such that the
SQLAlchemy result sets (aka cursors) can be closed. Make this class look as much
like the SQLAlchemy class to minimise the impact of adding this class.
"""
from builtins import object
import threading
class ResultSet(objec... | dmwm/WMCore | src/python/WMCore/Database/ResultSet.py | ResultSet.py | py | 1,078 | python | en | code | 44 | github-code | 13 |
38033121966 | from django.contrib import admin
from django.urls import path ,include
from django.conf import settings
from django.conf.urls.static import static
from rest_framework_simplejwt import views as jwt_views
from cab_g import views
urlpatterns = [
path('admin/', admin.site.urls),
path('api/token/', views.MyTokenOb... | simofane4/suivi_back_1 | suivi_back/urls.py | urls.py | py | 5,226 | python | en | code | 0 | github-code | 13 |
5489289452 | import matplotlib
import matplotlib.pyplot as plt
import numpy as np
def plot_mean_val_comparisons(dict1, dict2, name1, name2, error_bar = 'std'):
'''
plots a bar graph that compares the mean absolute error of two segmentation sources relative to a gold standard source
inputs:
dict1: dictionary sp... | kathoma/AutomaticKneeMRISegmentation | figure_utils.py | figure_utils.py | py | 3,380 | python | en | code | 10 | github-code | 13 |
7947190875 | # -*- coding:utf-8 -*-
from mako import runtime, filters, cache
UNDEFINED = runtime.UNDEFINED
STOP_RENDERING = runtime.STOP_RENDERING
__M_dict_builtin = dict
__M_locals_builtin = locals
_magic_number = 10
_modified_time = 1521485842.978504
_enable_loop = True
_template_filename = '/Users/hollyholland/PycharmProjects/FO... | hollyh95/FOMO_sprint0 | catalog/templates/.cached_templates/index.html.py | index.html.py | py | 3,691 | python | en | code | 0 | github-code | 13 |
73474892499 | #
#____Results__availabe___are:
#
# Nodal outputs
# coo = [1,2,3] x, y, z
# disp = [1,2,3] dx, dy, dz
# vel = [1,2,3] vx, vy, vz
# Element outputs (mesh,entity)
# crss = [1,2,...,n] where n=12,18,32 for bcc/fcc,hcp,bct respectively
# defrate = [1,2,3,4,... | EMengiste/data_reduction_scripts | python/objects.py | objects.py | py | 18,141 | python | en | code | 0 | github-code | 13 |
12103897129 | from django.contrib import admin
from .models import Araba
# Register your models here.
class PostAdmin(admin.ModelAdmin):
list_display= ['arabaismi','ilantarihi']
search_fields=['arabaismi', 'ozellikler','ilantarihi']
class Meta:
model = Araba
admin.site.register(Araba, PostAdmin)
| muzafferkadir/Django_Car_Dealer_Site | araba/admin.py | admin.py | py | 311 | python | en | code | 0 | github-code | 13 |
41490352899 | import configparser
import pandas as pd
def open_audit(audit_file):
return pd.read_csv(audit_file)
class ReadLogs:
def __init__(self):
# Read from config.ini to import our Audit log file, user and commands to alert on
config = configparser.ConfigParser()
config.read("/app/config.ini... | racerman300zx/audit_log | modules/auditreader.py | auditreader.py | py | 1,730 | python | en | code | 0 | github-code | 13 |
40166133253 | import main
def menu():
print("Welcome to Nim Game\n")
print("\n")
print("****************************\n")
print(" Welcome to Menu \n")
print(" Please choose a Option \n")
print("****************************\n")
print(" 1) MinMax \n")
print(" 2) Tree ... | lancal/TallerIA | TallerIA.py | TallerIA.py | py | 1,644 | python | en | code | 0 | github-code | 13 |
37313694815 | import openpyxl
import os
wb = openpyxl.Workbook()
wb.get_sheet_names()
sheet = wb.get_sheet_by_name('Sheet')
sheet['A1'].value
sheet['A2'] = 'Hello'
os.chdir('c:\\Users\\All\\Documents')
wb.save('example.xlsx') | MagsMagnoli/automate-boring-stuff-python | 5_excel_spreadsheets.py | 5_excel_spreadsheets.py | py | 213 | python | en | code | 0 | github-code | 13 |
18375678051 | import os
from dotenv import load_dotenv
import datetime
import csv
import openai
def openai_request():
# Prompt the user for text input
prompt = input("Enter your prompt: ")
keyword = input("Enter your keyword: ")
openai.api_key = os.getenv("OPENAI_API_KEY")
response = openai.ChatCompletion.cre... | ctuguinay/AutomaticTiktok | openai_api.py | openai_api.py | py | 1,842 | python | en | code | 0 | github-code | 13 |
35327057288 | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------- #
# --------------- Importations --------------- #
# ------------------------------------------------------------------- #
import torch
import torch.nn as nn
import torch.optim as optim
from tor... | Timbar84/Projet_Spiruline_2A | pytorch_spiruline.py | pytorch_spiruline.py | py | 4,998 | python | en | code | 0 | github-code | 13 |
16084642622 | """
Author: Missy Shi
Course: math 458
Date: 04/23/2020
Project: A3 - 1
Description:
Write a Python function which, given n,
returns a list of all the primes less than n.
There should be 25 primes less than 100, for instance.
Task:
How many prime numbers are there which are less than 367400?
"""
i... | missystem/math-crypto | prime.py | prime.py | py | 1,158 | python | en | code | 0 | github-code | 13 |
38917916659 | """
Titanic prediction script
"""
import sys
from prediction import train, predict
if __name__ == "__main__":
test = "data/" + sys.argv[1]
model = sys.argv[2]
if model not in {"glm", "rf", "gb"}:
raise ValueError("Not valid option for model")
model = train("data/train.csv", model)
predi... | MenciusChin/Kaggle | titanic/titanic.py | titanic.py | py | 336 | python | en | code | 1 | github-code | 13 |
36509398264 | #%%
import numpy
import tensorflow as tf
import matplotlib.pyplot as plt
# Initializes arrays of values for the training session
celsius = numpy.array([-40, -10, 0, 8, 15, 22, 38], dtype=float)
fahrenheit = numpy.array([-40, 14, 32, 46, 59, 72, 100], dtype=float)
# Initializes a simple neural network with 3 dense lay... | miquel-gb/neural-network-tests | neural_network_temp_improved.py | neural_network_temp_improved.py | py | 1,622 | python | en | code | 1 | github-code | 13 |
33038211606 | import sys
from pprint import pprint
sys.stdin =open("input.txt","r",encoding='UTF8')
#encoding= UTF 8 필수
T = 10
for test_case in range(1, T + 1):
t = int(input())
cnt = 0
str2 = input()
str1 = input()
A=len(str1)-len(str2)
for i in range(A+1):
cnt2 = 0
B=str1[i]
C=str... | Seobway23/Laptop | Algorithm/february_class/0209/string array.py | string array.py | py | 587 | python | en | code | 0 | github-code | 13 |
19737829302 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
import pymysql
from mafengwoSpider.items import MafengwospiderItem, SpotItem
from scrapy.utils.project import get_project_sett... | tianzhencong/scrapy_with_mafengwo | mafengwoSpider/mafengwoSpider/pipelines.py | pipelines.py | py | 1,915 | python | en | code | 1 | github-code | 13 |
2726148255 | # Simple Measure Program Execution Time 1.2
# Original Code by Udacity (https://www.udacity.com/blog/2021/09/create-a-timer-in-python-step-by-step-guide.html)
import time
our_list = list(range(1000000))
element = 898989
start = time.time()
for el in our_list:
if el == element:
break
end = time.time()
... | adrhmdlz/Python-timer | timer4.py | timer4.py | py | 338 | python | en | code | 0 | github-code | 13 |
35185132781 | import requests
from urllib.request import urlopen
from bs4 import BeautifulSoup
from csv import reader
import pandas as pd
import csv
import re
from urllib.request import urlopen
url = ""
counter = 0
with open('topmillion.csv', newline='') as csvfile:
with open('scraped_robots.txt', 'w') as file... | Destroyer7s/robot-skimmer | scraper.py | scraper.py | py | 1,631 | python | en | code | 0 | github-code | 13 |
5339577405 | import streamlit as st
import pandas as pd
import joblib
def app():
st.title("Zomato Restaurant Rating Prediction")
# Load the train.csv file
train_df = pd.read_csv("artifacts/train.csv")
# Get the unique values from the location column
unique_locations = train_df["location"].unique()
# Crea... | Nimish3011/Restaurant-Rating-Prediction | static/App.py | App.py | py | 2,595 | python | en | code | 0 | github-code | 13 |
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