seq_id stringlengths 4 11 | text stringlengths 113 2.92M | repo_name stringlengths 4 125 ⌀ | sub_path stringlengths 3 214 | file_name stringlengths 3 160 | file_ext stringclasses 18
values | file_size_in_byte int64 113 2.92M | program_lang stringclasses 1
value | lang stringclasses 93
values | doc_type stringclasses 1
value | stars int64 0 179k ⌀ | dataset stringclasses 3
values | pt stringclasses 78
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
74630975144 | import math
import os.path
import re
import html
def calcScore(now, best):
if now<1e-9:
return 0
#return now / best
return best / now
def isBetter(now, best):
if now<1e-9:
return False
#return best < now
return now < best
def main():
import sqlite3
db = sqlite3.connect... | colun/mmlang | src/mmhttpd.py | mmhttpd.py | py | 15,984 | python | en | code | 21 | github-code | 36 |
70010896105 | # 구구단2단 출력하는 함수를 만들어 보세요
# gugudan
def gugudan(dan) :
for j in range(1,10):
print(dan,'x', j, '=', dan*j)
for dan in range(2, 20+1):
gugudan(dan)
# 이거 하는데 1시간 걸림
| Kyeongrok/python_yla | com/week2/am/01_gugudan.py | 01_gugudan.py | py | 232 | python | ko | code | 1 | github-code | 36 |
4578620215 | import numpy as np
def main(x):
result = 1
k = 2
while x> 1.99:
if int(x**(1/k)) == 1:
break
elif int(x**(1/k)) == x**(1/k):
result *= k
x = x**(1/k)
k = 2
else:
k+=1
if result<=1:
return "NO"
return result
... | naphattar/Betaprogramming | Chapter 1/1043.py | 1043.py | py | 428 | python | en | code | 0 | github-code | 36 |
38715715582 | #!/usr/bin/env python3
import hashlib
key = 'iwrupvqb'
i = 1
while True:
s = '{}{}'.format(key, i)
h = hashlib.md5(s.encode('ascii')).hexdigest()
if h.startswith('00000'):
print("Answer for 5 zeros is {} ({})".format(i, s))
break
i += 1
i = 1
while True:
s = '{}{}'.format(key, i)
... | lvaughn/advent | 2015/4/advent_coin.py | advent_coin.py | py | 488 | python | en | code | 1 | github-code | 36 |
8660975044 | from PYmodule import *
log10Ms = [9,10,11,12]
typenames = ['H'+r'$_2$', 'H-H'+r'$_2$', 'H-H']
pres = ['./data/1e9','./data/1e10','./data/1e11','./data/1e12','./data/1e13']
print('z=6 to 4, t in Myr: ', (t_from_z(4)-t_from_z(6))/Myr)
M_grow_ratio = 5.
f_lambda = np.log(M_grow_ratio) * t_Edd / (t_from_z(4)-t_from_z... | lovetomatoes/BHMF | Mdist_grow.py | Mdist_grow.py | py | 4,788 | python | en | code | 0 | github-code | 36 |
26425710929 | #coding: latin-1
import numpy as np
def shell_tube_eff(NTU,Cr,nshell=1):
#
# shell and tube (nshell shell pass)
# NTU is the total NTU
NTUn = NTU/nshell
G = np.sqrt(1+Cr**2)
y = np.exp(-NTUn*G)
ep1 = 2/(1+Cr+G*(1+y)/(1-y))
if nshell > 1:
if Cr == 1:
ep = nshell*ep1/(1+ep1*(n-1))... | LouisLamarche/Fundamentals-of-Geothermal-Heat-Pump-Systems | lib/heat_exchanger_md.py | heat_exchanger_md.py | py | 1,678 | python | en | code | 1 | github-code | 36 |
38930582027 | import torch
from torch import nn
def conv_block(in_channel, channel, kernel_size=3, stride=1, padding=1, inplace=False):
norm = nn.InstanceNorm2d
return nn.Sequential(
nn.Conv2d(in_channel, channel, kernel_size=kernel_size, stride=stride, padding=padding, bias=True),
norm(channel, affine=True,... | QiliangFan/Drive | models/resnetx.py | resnetx.py | py | 2,452 | python | en | code | 0 | github-code | 36 |
8230873640 | import sys
import parser
''' Grammar:
program = statement
statement = seq | single
seq = single; seq | single; single
single = assign | if | for
assign = var = expr
var = x | y
const = 0 | 1
expr = var | const | expr + var | expr + const
if = if cmp then statement else statement endif
for = for var = expr; cm... | lsiddiqsunny/Undergraduate-Thesis | Code and data set of Tree to tree neural network progration/Tree2Tree-master/src/For2Lam/lang_for.py | lang_for.py | py | 4,461 | python | en | code | 3 | github-code | 36 |
14825110137 | import sys
import os
import itertools
import numpy as np
import enum
OUTPUT_FILE = 'vector_type_predef.hpp'
STATIC_BUFFER_TYPE = 'static_buffer'
DEVICE_HOST_MACRO = 'DEVICE_HOST'
def gen_p2_array(n):
i = 1
rtn = []
while i <= n:
rtn.append(i)
i = i * 2
return rtn
class vector_type(obj... | carlushuang/gcnasm | hgemm_mfma/gen_vec_type.py | gen_vec_type.py | py | 2,420 | python | en | code | 6 | github-code | 36 |
27900592036 | # -*- coding: utf-8 -*-
import numpy as np
def moranI(W,X):
'''
W:空间权重矩阵
X:观测值矩阵
归一化空间权重矩阵后进行moran检验
'''
W = np.array(W)
X = np.array(X)
X = X.reshape(1,-1)
print('===========w:{}',W)
print('===========x:{}',X)
#归一化
print('W.sum:{}',W.sum(axis=1))
W = W/W.sum(axis=1... | fangweilong/python-algorithm | 莫兰指数/MoranI.py | MoranI.py | py | 2,858 | python | en | code | 0 | github-code | 36 |
31243963609 | import argparse
import datetime
import pycloudlib
CI_DEFAULT_TAG = "uaclient"
def get_parser():
parser = argparse.ArgumentParser()
parser.add_argument(
"-t", "--tag", dest="tag", action="store",
default=CI_DEFAULT_TAG,
help=(
"Tag to determine which instances will be dele... | canonical/server-test-scripts | ubuntu-advantage-client/gcp_cleanup.py | gcp_cleanup.py | py | 3,138 | python | en | code | 8 | github-code | 36 |
36955105209 | import wttest
from suite_subprocess import suite_subprocess
from wtdataset import SimpleDataSet, ComplexDataSet
from wiredtiger import stat
from wtscenario import make_scenarios
# test_compact.py
# session level compact operation
class test_compact(wttest.WiredTigerTestCase, suite_subprocess):
name = 'test_comp... | mongodb/mongo | src/third_party/wiredtiger/test/suite/test_compact01.py | test_compact01.py | py | 4,370 | python | en | code | 24,670 | github-code | 36 |
28657759948 | from torchvision import transforms
from torch.utils.data import dataset, dataloader
from torchvision.datasets.folder import default_loader
from utils.RandomErasing import RandomErasing
from utils.RandomSampler import RandomSampler
from opt import opt
import glob
import pandas as pd
import numpy as np
import os.path as ... | DavisonHu/AICity-track2-Re-id | loader/Evaluation_AICity_data.py | Evaluation_AICity_data.py | py | 4,017 | python | en | code | 1 | github-code | 36 |
37217931593 | def time_main():
from mult_optim_cython import main
import timeit
import numpy as np
time_arr = timeit.repeat(main, repeat=5, number=1)
print('Times:', time_arr)
print('Median:', np.median(time_arr))
return
if __name__ == "__main__":
time_main()
| RohanBh/cs263_project | programs/cython_np/time_mult_optim.py | time_mult_optim.py | py | 280 | python | en | code | 0 | github-code | 36 |
25822109904 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
def read_info(file):
while True:
data = file.readline();
if not data:
break
yield data
class Contact:
def __init__(self, first_name = '', last_name = '', number = 0):
self.first_name = first_name
self.last_name ... | LiudaShevliuk/python | lab14_2/lab14_2.py | lab14_2.py | py | 3,254 | python | en | code | 0 | github-code | 36 |
43046392244 | import sys
def search_value(my_dict, elem):
for key, value in my_dict.items():
if value.lower() == elem.lower():
return value
return None
def search_key(my_dict, elem):
for key, value in my_dict.items():
if key.lower() == elem.lower():
return key
return None
de... | GoryachevDaniil/ft_Python_Django_Piscine | day01/ex05/all_in.py | all_in.py | py | 1,368 | python | en | code | 0 | github-code | 36 |
22450452976 | """
Team 46
Haoyue Xie 1003068 @Melbourne
Jiayu Li 713551 @Melbourne
Ruqi Li 1008342 @Melbourne
Yi Zhang 1032768 @Melbourne
Zimeng Jia 978322 @Hebei, China
"""
import json
from shapely.geometry import shape, Point
#current_region is a dictionary
def streaming_region(current_region, tweet):
if current_region != {... | yzzhan4/COMP90024-AuzLife | TwitterStreaming/streaming_region.py | streaming_region.py | py | 1,436 | python | en | code | 0 | github-code | 36 |
21366302281 | """
URL: https://www.lintcode.com/problem/invert-binary-tree/description
Definition of TreeNode:
class TreeNode:
def __init__(self, val):
self.val = val
self.left, self.right = None, None
"""
# My own solution, simple recursion.
class Solution:
"""
@param root: a TreeNode, the root of the b... | simonfqy/SimonfqyGitHub | lintcode/easy/175_invert_binary_tree.py | 175_invert_binary_tree.py | py | 1,448 | python | en | code | 2 | github-code | 36 |
37655164252 | from django.shortcuts import render
from django.http import HttpResponse
from hello.models import User
import random
# Create your views here.
count = 0
def World(request):
return HttpResponse('this is app2')
def Add_user(request):
global count
count += 1
user = User()
user.user_age = ... | yy1110/Mydjango | django_first/app2/views.py | views.py | py | 2,338 | python | en | code | 1 | github-code | 36 |
22714296408 | import sys
sys.path += ['.'] # noqa
from unittest.mock import Mock
from mycroft.services.paths_service import resolve_refs, StringGetter
from mycroft.services import paths_service
PathsManager = paths_service.PathsService
paths_service.resource_filename = lambda *args: ''
class TestResolver:
def test_1(self):
... | MatthewScholefield/mycroft-light | tests/managers/test_paths_manager.py | test_paths_manager.py | py | 1,517 | python | en | code | 6 | github-code | 36 |
38336151204 | from streamlit_webrtc import webrtc_streamer
import av
import cv2
cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
class VideoProcessor:
def recv(self, frame):
frm = frame.to_ndarray(format="bgr24")
CONFIDENCE = 0.5
SCORE_THRESHOLD = 0.5
IOU_THRESHOL... | NeTRooo/CyberGarden2022-Atom | rtc_test.py | rtc_test.py | py | 1,710 | python | en | code | 0 | github-code | 36 |
4201928823 | class Game:
# def __init__(self):
# self.
def run_game (self):
self.display_title ()
self.game_rules()
self.display_winner()
self.play_mode ()
def display_title (self):
print("\nWelcome to Rock, Paper, Scissors, Lizard, Spock \n")
... | Lorena-Valdez/RPSLS_1 | RPSLS/game.py | game.py | py | 1,694 | python | en | code | 0 | github-code | 36 |
20858123687 | #https://leetcode.com/problems/masking-personal-information/
class Solution:
def solveEmail(self,s):
print(s)
name,domain=s.split("@")[0].lower(),s.split("@")[1].lower()
print(name,domain)
name=name[0:1]+"*****"+name[-1]
return name+"@"+domain
def solvePhon... | manu-karenite/Problem-Solving | Strings/maskingPersonalInformation.py | maskingPersonalInformation.py | py | 1,091 | python | en | code | 0 | github-code | 36 |
639825382 | # Description: 2. project 'Bulls and cows' in Engeto Online Python Academy
# Author: Jiri Gloza
# Define basic variables
nums = [1, 2, 3, 4, 5, 6, 7, 8, 9, 0]
Welcome_message = '''
Hi there !
I've generated a random 4 digit number for you.
Let's play a bulls and cows game.
Enter a number'''
import random
# Define ma... | Globerx/Engeto_academy_Project2 | Project2.py | Project2.py | py | 2,291 | python | en | code | 0 | github-code | 36 |
24888015371 | from typing import Iterable
import torch
import numpy as np
from scipy.spatial.distance import cdist
from tqdm import tqdm
import ot
def cost_matrix(
data: np.ndarray, cost: str = 'correlation',
normalize_features: bool = True) -> np.ndarray:
"""Compute an empirical ground cost matrix, i.e. a pairwise distance m... | cantinilab/OT-scOmics | src/otscomics/__init__.py | __init__.py | py | 5,668 | python | en | code | 31 | github-code | 36 |
71404383785 | import random, sys
# random.seed(42)
from person import Person
from logger import Logger
from virus import Virus
import argparse
class Simulation(object):
def __init__(self, pop_size, vacc_percentage, initial_infected, virus):
# TODO: Create a Logger object and bind it to self.logger.
# Remember t... | b3fr4nk/Herd-Immunity-Sim | simulation.py | simulation.py | py | 9,203 | python | en | code | 0 | github-code | 36 |
73011952423 | #-*- coding: utf-8 -*-
import csv
import os
import pymysql
import pandas as pd
# 一个根据pandas自动识别type来设定table的type
def make_table_sql(df):
columns = df.columns.tolist()
types = df.ftypes
# 添加id 制动递增主键模式
make_table = []
for item in columns:
if 'int' in types[item]:
char = item + ' ... | cyj-user/MedData | sampleData/data_input.py | data_input.py | py | 2,208 | python | en | code | 0 | github-code | 36 |
10350206274 | #*************************************************************************
# 2. Dictionary
#*************************************************************************
# How to define an empty dictionary
mydict = {}
# How to initialize a dictionary
# setdefault(key, default_value) returns default value for the associate... | gregsurber/Practice | Week_2/wk2_code_demo.py | wk2_code_demo.py | py | 4,444 | python | en | code | 0 | github-code | 36 |
556091123 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
import os
import scrapy
import json
from urllib.parse import urlparse
from pymongo import MongoClient
from scrapy.pipelines.im... | GruXsqK/Methods_scraping | Lesson_6/Youla_parser_project/youlaparser/pipelines.py | pipelines.py | py | 1,918 | python | en | code | 0 | github-code | 36 |
4413470363 | '''
xを数字とセットにした二次元配列を作る
sを数字に置き換えたものと、元のままのものの三次元配列にする
→二次元配列では取り扱いきれないので、遠慮なく三次元へ
ソートして、出す
'''
from collections import defaultdict
x = input()
n = int(input())
s = [input() for _ in range(n)]
new = defaultdict(dict)
for i in range(len(x)):
new[x[i]] = i
ans = []
for i in s:
inner = []
for j in i:
inner.... | burioden/atcoder | submissions/abc219/c.py | c.py | py | 566 | python | ja | code | 4 | github-code | 36 |
13989800577 | # -*- coding: utf-8 -*-
import copy
from io import BytesIO
from datetime import datetime
from xlwt import Workbook, XFStyle, Borders, Pattern
class ExcelWT(Workbook):
"""Excel生成工具
"""
def __init__(self, name, encoding=r'utf-8', style_compression=0):
super().__init__(encoding, style_compressio... | wsb310/hagworm | hagworm/extend/excel.py | excel.py | py | 2,028 | python | en | code | 13 | github-code | 36 |
73903114025 | import pandas as pd
from datetime import date, timedelta, datetime
from meteostat import Point, Daily
import statsmodels.api as sm
def read_data():
# Set time period
start = datetime(2010, 1, 1)
end = pd.to_datetime(datetime.now().strftime("%Y-%m-%d"))
# Create Point for Vancouver, BC
vancouver... | Marcosgrosso/automation_series | predict_model.py | predict_model.py | py | 1,724 | python | en | code | 0 | github-code | 36 |
73947800422 | from django.contrib import admin
from django.urls import path
from . import views
urlpatterns = [
path('',views.ProductList,name='ProductList'),
path('productdetails',views.productdetails,name='productdetails'),
path('orderslist',views.OrdersList,name='OrdersList'),
path('addcolumns',views.AddColumns,n... | Fawazk/VofoxSolutions-test | vofox/purchase/urls.py | urls.py | py | 403 | python | en | code | 1 | github-code | 36 |
4193041157 | # put your python code here
lst = []
while 5:
a = input().split()
if a == ['end']:
break
b = [int(i) for i in a]
lst.append(b)
print(lst)
for i in range(len(lst)):
for j in range(len(lst[i])):
print(lst[i][j - len(lst) + 1] + lst[i][j - 1] + lst[i - 1][j] + lst[i - len(lst) + 1][j], ... | Eduard-z/stepic | spisok.py | spisok.py | py | 343 | python | en | code | 0 | github-code | 36 |
4492015736 | ## Load training SDFs
import argparse
import colorsys
import os
import numpy as np
import pathlib
import tqdm
import open3d as o3d
import random
from CARTO.simnet.lib.datapoint import decompress_datapoint
from CARTO.Decoder import utils
from CARTO.Decoder.data import dataset
from CARTO.Decoder import config
from CARTO... | robot-learning-freiburg/CARTO | CARTO/Decoder/visualizing/visualize_sdf_values.py | visualize_sdf_values.py | py | 2,511 | python | en | code | 10 | github-code | 36 |
74973903784 | #Question 5
def subsequence(st):
if len(st) == 1:
return list(st)
else:
subs = subsequence(st[:len(st)-1])
for element in subs:
if element[-1] < st[-1]:
subs += [element + st[-1]]
subs += [st[-1]]
return subs
def long_com_seq... | SimoneFiorellino/ADM-HW3 | q5.py | q5.py | py | 780 | python | en | code | 0 | github-code | 36 |
72508017705 | '''
liguangyao
10/25/2023
guangyaoli@ruc.edu.cn
'''
import os
import torch
from torchvision import transforms, utils
from PIL import Image
import numpy as np
import glob
from imagebind import data
from imagebind.models import imagebind_model
from imagebind.models.imagebind_model import ModalityType
device = "cuda:1... | ayameyao/ResearchToolCode | FeatureExtraction/Extract_ImageBind_Features/extract_imagebind_feats.py | extract_imagebind_feats.py | py | 7,418 | python | en | code | 2 | github-code | 36 |
11425205526 | from edera import Condition
from edera import Task
from edera.exceptions import StorageOperationError
from edera.requisites import shortcut
from edera.storages import InMemoryStorage
from edera.workflow import WorkflowBuilder
from edera.workflow.processors import TargetCacher
def test_target_cacher_checks_target_only... | thoughteer/edera | tests/unit/workflow/processors/test_target_cacher.py | test_target_cacher.py | py | 2,571 | python | en | code | 3 | github-code | 36 |
19453386854 | import requests #Requests é um biblioteca, um pacote de código. Para instalar usar: pip install requests
from tkinter import * #Pegando todas as informações da biblioteca tkinter.
def pegar_cotacoes():
requisicao = requests.get("https://economia.awesomeapi.com.br/last/USD-BRL,EUR-BRL,BTC-BRL")
requisicao_dic... | jessicarios-DevOps/Tkinter-python | janela.py | janela.py | py | 1,628 | python | pt | code | 0 | github-code | 36 |
21803177273 | """
receives the fieldnames and dimension values for a single species
calculates parameters like Volume, Area, and returns them together with sorted Dimensions (min, mid, max)
Disclaimer: calculations of A and V are pythonized from the matlab script cellgeom.m by A. Ryabov
Tested for: python 3.6
"""
# Library imports
... | AlexRyabov/Cell-shape | python/calc_geom_funcs.py | calc_geom_funcs.py | py | 28,215 | python | en | code | 2 | github-code | 36 |
19738731229 | from vigilo.models.session import DBSession, MigrationDDL
from vigilo.models import tables
def upgrade(migrate_engine, actions):
"""
Migre le modèle.
@param migrate_engine: Connexion à la base de données,
pouvant être utilisée durant la migration.
@type migrate_engine: C{Engine}
@param act... | vigilo/models | src/vigilo/models/migration/002_Host_mainip_is_really_an_address.py | 002_Host_mainip_is_really_an_address.py | py | 803 | python | fr | code | 4 | github-code | 36 |
22620837649 | class Student:
def __init__(self, name, age, gpa, adviser, email):
self.name = name
self.age = age
self.gpa = gpa
self.adviser = adviser
self.email = email
students = [
Student("Dimash", 19, 3.7, "Abdygalym", "dimash@gmail.com"),
Student("Ilyas", 19, 3.1, "Abdygalym", "ilyas@gmail.com"),
... | AlikhanIT/func2 | main.py | main.py | py | 2,255 | python | ru | code | 0 | github-code | 36 |
20655962047 | import dataclasses
import subprocess
from typing import Any, ClassVar, List, Optional
from fancy_dataclass.utils import DataclassMixin, issubclass_safe, obj_class_name
class SubprocessDataclass(DataclassMixin):
"""Mixin class providing a method for converting dataclass fields to command-line args that can be use... | jeremander/fancy-dataclass | fancy_dataclass/subprocess.py | subprocess.py | py | 5,568 | python | en | code | 0 | github-code | 36 |
2360892821 | """
字符串中字母大小写互换
【问题描述】编写程序，功能是把输入的字符串的大写字母变成小写字母，小写字母变成大写字母，非字母的字符不作变换。输出变换后的结果。
【输入形式】字符串，包含字母和非字母字符。
【输出形式】字符串，字母的大小写已经发生变换。
【样例输入】abcABC
【样例输出】ABCabc
"""
n = input()
m = ""
for i in n :
if i.isupper():
i = i.lower()
m = m + i
elif i.lower():
i = i.upper()
m = m + i
print(m) | xzl995/Python | CourseGrading/5.1.8字符串中字母大小写互换.py | 5.1.8字符串中字母大小写互换.py | py | 579 | python | zh | code | 3 | github-code | 36 |
4393844283 | # 클레어와 물약
# r1 x
# https://www.acmicpc.net/problem/20119
# https://welog.tistory.com/256
import sys
from collections import deque
input = sys.stdin.readline
n, m = map(int, input().split())
graph = [set() for _ in range(n + 1)]
recipe_dict = {}
for _ in range(m):
data = list(map(int, input().split()))
if d... | sjjam/Algorithm-Python | baekjoon/20119.py | 20119.py | py | 1,292 | python | en | code | 0 | github-code | 36 |
32296716535 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="trello_client-basics-api-denisshvayko", version="0.0.1", author="denis", author_email="denis.shvayko@phystech.edu",
description="Обертка для trello API", long_description=long_description,
long_des... | denisshvayko/D1.8 | setup.py | setup.py | py | 640 | python | en | code | 0 | github-code | 36 |
31757699716 | print('Bom dia')
count=0
soma =0
for idade in range(10):
idade=int(input('Digite sua idade:'))
if(idade>=18):
count=count+1
soma=idade+soma
media=soma/10
print('a quantidade de pessoas é:',count)
print('A media:', media)
| 4ntonio19/PythonExercises | PythonExercises/ListaRevisão6.py | ListaRevisão6.py | py | 240 | python | pt | code | 0 | github-code | 36 |
9284740252 | a = {'timezone': 'UTC',
'serverTime': 1570802268092,
'rateLimits': [{'rateLimitType': 'REQUEST_WEIGHT', 'interval': 'MINUTE', 'intervalNum': 1, 'limit': 1200},
{'rateLimitType': 'ORDERS', 'interval': 'MINUTE', 'intervalNum': 1, 'limit': 1200}],
'exchangeFilters': [],
'symbols': [... | Sam-0225/Quant_Grid | test.py | test.py | py | 2,134 | python | en | code | 1 | github-code | 36 |
30466798237 | class Solution:
def shortestWordDistance(self, words, word1: str, word2: str) -> int:
res = float('inf')
res1 = []
res2 = []
for i in range(len(words)):
if words[i] == word1:
res1.append(i)
if words[i] == word2:
res2.append(i)
... | dundunmao/LeetCode2019 | 245. Shortest Word Distance III.py | 245. Shortest Word Distance III.py | py | 1,097 | python | en | code | 0 | github-code | 36 |
42493212575 | """
WRITEME
"""
from __future__ import absolute_import, print_function, division
from copy import copy, deepcopy
from sys import getsizeof
import sys
import traceback
import numpy as np
import theano
from theano.compat import izip
from six import reraise
from six.moves import StringIO
from theano.gof import utils
fro... | Theano/Theano | theano/gof/link.py | link.py | py | 38,073 | python | en | code | 9,807 | github-code | 36 |
70308798185 | import wx
class SlideshowFrame(wx.Frame):
def __init__(self,**kwargs):
wx.Frame.__init__(self, **kwargs)
self.SetBackgroundColour(wx.BLACK)
self.panel = wx.Panel(self, pos=self.Rect.GetPosition(), size=self.Rect.GetSize())
self.empty_img = wx.EmptyImage(self.Rect.GetWidth()... | jamestunnell/auto-slideshow | slideshow_frame.py | slideshow_frame.py | py | 1,851 | python | en | code | 1 | github-code | 36 |
21114082657 | from src import app
from flask import jsonify, request
import requests
import json
import os
slackToken = os.environ['SLACK_TOKEN']
botAccessToken = os.environ['BOT_ACCESS_TOKEN']
hasuraDataUrl = "http://data.hasura/v1/query"
chatUrl = "https://slack.com/api/chat.postMessage"
##################### APIs ##############... | Satyabrat35/SlackGitBot | microservices/bot/app/src/server.py | server.py | py | 12,668 | python | en | code | 2 | github-code | 36 |
29654762562 | import re
from io import StringIO
from flask import Flask, request, Response, redirect
import pandas as pd
app = Flask(__name__)
def is_valid_query(q):
'''
A query is valid if it is strictly consisted of the following three entries:
[(A-Z, a-z, 0-9)+ or *] [==, !=, $=, &=] ["..."]
Queries can be co... | CandiceD17/Http-Server-Query-Retrieval | my_server.py | my_server.py | py | 8,078 | python | en | code | 0 | github-code | 36 |
28891405121 | import collections
import difflib
import logging
import os
import re
from pytype.platform_utils import path_utils
from pytype.tools.merge_pyi import merge_pyi
import unittest
__all__ = ('TestBuilder', 'load_tests')
PY, PYI, EXPECTED = 'py', 'pyi', 'pep484.py'
OVERWRITE_EXPECTED = 0 # flip to regenerate expected f... | google/pytype | pytype/tools/merge_pyi/merge_pyi_test.py | merge_pyi_test.py | py | 2,585 | python | en | code | 4,405 | github-code | 36 |
39265812608 | import pandas as pd
import plotly.graph_objects as go
import prepare_data
population = {
'NSW':8089526,
'QLD':5095100,
'VIC':6594804,
'SA':1751693,
'WA':2621680,
'TAS':534281,
'ACT':426709,
'NT':245869,
'Total':25359662,
'DeathsNationally':25359662,
}
df_aus = prepare_data.aust... | explodingdinosaurs/corona | aus_states_per_capita.py | aus_states_per_capita.py | py | 2,043 | python | en | code | 1 | github-code | 36 |
27894940347 | class Node(object):
def __init__(self, key, val):
self.val = val
self.key = key
self.next = None
self.prev = None
class List(object):
def __init__(self):
self.head = Node(None, None)
self.tail = None
def append(self, node):
if self.tail is None:
... | stgleb/algorithms-and-datastructures | hashmaps/lru_cache.py | lru_cache.py | py | 2,224 | python | en | code | 0 | github-code | 36 |
12032981505 | import itertools
import numpy as np
import networkx as nx
from sklearn.neighbors import kneighbors_graph
from sklearn.metrics.pairwise import euclidean_distances
from scipy.sparse.csgraph import minimum_spanning_tree
from ggc.utils import *
def knn_graph(X, k):
"""Returns k-Nearest Neighbor (MkNN) graph from the... | haczqyf/ggc | ggc/graphs.py | graphs.py | py | 4,902 | python | en | code | 6 | github-code | 36 |
19665493360 | import re
def get_puzzle_input(file: str) -> list[str]:
return [line.strip() for line in open(f"{file}.txt", "r").readlines()]
def create_list(r1: int, r2: int) -> list:
return list(range(r1, r2 + 1))
def parse_input(sections: list) -> list:
ranges = []
for section in sections:
input = re.... | jonnaliesel/Aoc2022 | 4/solution.py | solution.py | py | 1,422 | python | en | code | 0 | github-code | 36 |
34993839592 | # Thư viện
import pygame, sys
import numpy as np
import time
# Khởi tạo game
pygame.init()
# ---------
# CÁC HẰNG SỐ
# ---------
WIDTH = 600
HEIGHT = WIDTH
LINE_WIDTH = 15
WIN_LINE_WIDTH = 8
BOARD_ROWS = 5
BOARD_COLS = BOARD_ROWS
SQUARE_SIZE = WIDTH/BOARD_ROWS
CIRCLE_RADIUS = SQUARE_SIZE/3
CIRCLE_WIDTH = 15
CROS... | LeVan102/AI_Caro | Caro5x5.py | Caro5x5.py | py | 11,268 | python | en | code | 0 | github-code | 36 |
42154458258 | # 1,2,3 더하기
import sys
input = sys.stdin.readline
case = []
for i in range(int(input())):
case.append(int(input()))
maxNum = max(case)
dp = [0]*(maxNum+1)
dp[1] = 1
dp[2] = 2
dp[3] = 4
for i in range(4, maxNum+1):
dp[i] = dp[i-3]+dp[i-2]+dp[i-1]
for i in case:
print(dp[i])
| FeelingXD/algorithm | beakjoon/9095.py | 9095.py | py | 295 | python | en | code | 2 | github-code | 36 |
5663440887 | import math
def merge_sort(array, left_bound, right_bound):
if left_bound < right_bound:
middle_bound = math.floor((left_bound + right_bound)/2)
merge_sort(array, left_bound, middle_bound)
merge_sort(array, middle_bound + 1, right_bound)
merge(array, left_bound, middle_bound, right_... | Melkye/Labs | Algorithms/Lab_3_inversions/Lab_3_inversions/fun.py | fun.py | py | 4,037 | python | en | code | 0 | github-code | 36 |
28148567000 | import datetime
import time
from gpiozero import LED, Device
from gpiozero.pins.pigpio import PiGPIOFactory
Device.pin_factory = PiGPIOFactory()
# NOTE: Change this to match the GPIO pin you're connecting the LED to
led = LED(18)
# NOTE: Change these values to set the time you want the light to turn on and off at
we... | szh/pi-timedlight | timedlight.py | timedlight.py | py | 936 | python | en | code | 1 | github-code | 36 |
39139414792 | """ This module contains testcase_32_ephemeral test """
from testcase import Testcase
from os.path import basename
class testcase_32_ephemeral(Testcase):
"""
It should be possible to use ephemeral device (if we have one)
Note that in rhel6.5 there is no shift letter in dick device name
"""
stages ... | dparalen/dva | dva/test/testcase_32_ephemeral.py | testcase_32_ephemeral.py | py | 3,371 | python | en | code | 0 | github-code | 36 |
70943213544 | """Module to index columns of the paper-summarized CSV file."""
import pandas as pd
from loguru import logger
from omegaconf import OmegaConf
from utils import create_embeddings
# Load the configuration
cfg = OmegaConf.load("conf/config.yaml")
FILE_PATH = cfg.data.path
INDEXED_FILE_PATH = cfg.data.indexed_path
df =... | naarkhoo/LiteGrave | src/index_csv_columns.py | index_csv_columns.py | py | 831 | python | en | code | 0 | github-code | 36 |
36709037388 | import rclpy
import rclpy.node
from airobot_interfaces.srv import StringCommand
from gtts import gTTS
import speech_recognition as sr
import subprocess
class SpeechService(rclpy.node.Node):
def __init__(self):
super().__init__('speech_service')
self.get_logger().info('音声サーバーを起動しました')
se... | AI-Robot-Book/chapter3 | speech_service/speech_service/speech_service_mpg123.py | speech_service_mpg123.py | py | 1,728 | python | en | code | 2 | github-code | 36 |
31058374968 | import networkx as nx
import pandas as pd
from matplotlib import pyplot as plt
from networkx.generators.ego import ego_graph
from pyvis.network import Network
from sklearn.decomposition import PCA
def plot_network_with_edge_weights(G, figsize=(10, 10)):
elarge = [(u, v) for (u, v, d) in G.edges(data=True) if (d["... | ryankarlos/networks_algos | vis/visualize.py | visualize.py | py | 3,867 | python | en | code | 1 | github-code | 36 |
3530324591 | # from threading import Thread
import speech_recognition as sr
import keyboard as k
import spotipy
import os
import pyttsx3
import random
import credentials
from spotipy.oauth2 import SpotifyOAuth
from spotipy.oauth2 import SpotifyClientCredentials
# from refresh import Refresh
# from googleText2Speech import synthe... | nsrehman/Virtual-Assistant | voiceRecognition.py | voiceRecognition.py | py | 5,520 | python | en | code | 0 | github-code | 36 |
29730523882 | #coding:utf8
#login
import logging
logging.basicConfig(level=logging.DEBUG)
_logger = logging.getLogger(__name__)
#flask frame
from flask_restplus import Resource
#wechat frame
import flask_wechat_utils
from flask_wechat_utils.user.utils import auth
from flask_wechat_utils.config import api
#application config
impo... | synctrust/flask-wechat-utils | flask_wechat_utils/message_template/routes.py | routes.py | py | 1,768 | python | en | code | 0 | github-code | 36 |
14774852874 | import streamlit as st
from src.plotgraphs import make_radar_graph
from src.sentanalysis import hf_analysis
from src.sentanalysis import spacy_sentiment
if __name__ == "__main__":
st.write("Welcome")
user_input = st.text_input("Enter a sentence", key="name")
result = st.button("Submit")
if result:
... | yugant10-commits/sentiment-analysis | main.py | main.py | py | 652 | python | en | code | 0 | github-code | 36 |
44034854335 | import sys
n = int(input())
card = list(map(int, sys.stdin.readline().split()))
m = int(input())
d = list(map(int, sys.stdin.readline().split()))
card.sort()
def binary_search(left, right, t):
if left > right:
print(0, end = " ")
return 0
else:
mid = (left + right) // 2
... | GluteusStrength/Algorithm | 백준/Silver/10815. 숫자 카드/숫자 카드.py | 숫자 카드.py | py | 605 | python | en | code | 0 | github-code | 36 |
17192006071 | from typing import List
from app.api.validators import ValidatorsClass
from app.core.db import get_async_session
from app.core.user import current_superuser
from app.crud.charity_project import charity_crud
from app.models import Donation
from app.schemas.charity_project import CharityCreate, CharityDB, CharityUpdate
... | Lexxar91/QRkot_spreadsheets | app/api/endpoints/charity_project.py | charity_project.py | py | 4,780 | python | ru | code | 0 | github-code | 36 |
912034710 | import cv2
cap = cv2.VideoCapture('vtest.avi')
hog = cv2.HOGDescriptor() # 클래스 호출을 통해 객체 생성
# SVM: 머신러닝 기술 이름
hog.setSVMDetector(cv2.HOGDescriptor_getDefaultPeopleDetector())
while True:
ret, frame = cap.read() # 프레임을 읽어서 반환
# ret: true / false, true: 동영상 frame을 정상적으로 읽었을 때, false: 비정상적으로 읽었을 때
if not... | yousung1020/OpenCV | 실습자료/chapter 13/hog.py | hog.py | py | 782 | python | ko | code | 0 | github-code | 36 |
28923214371 | #10815 .숫자카드
import sys
input = sys.stdin.readline
from bisect import bisect_left, bisect_right
N = int(input().rstrip())
nums = list(map(int,input().rstrip().split()))
nums.sort()
def find(arr, target):
if len(arr) == 1:
return 1 if arr[0] == target else 0
lo = 0
hi = len(arr)-1
while lo... | GuSangmo/BOJ_practice | BOJ/10815.py | 10815.py | py | 833 | python | en | code | 0 | github-code | 36 |
37406492523 | import logging
logging.basicConfig(filename='test_logs.log', encoding='utf-8', level=logging.INFO)
logger = logging.getLogger('selenium')
logger.setLevel(logging.INFO)
disable_loggers = ['urllib3.connectionpool','faker.factory']
def pytest_configure():
for logger_name in disable_loggers:
logger_not = log... | AlejandroPadilla99/mentoringPython | conftest.py | conftest.py | py | 383 | python | en | code | 0 | github-code | 36 |
35854946253 | """
The flask application package.
"""
# newest 1.4 version of sqlalchemy not working please install 1.3.24
#pip install SQLAlchemy==1.3.24
async_mode = None
if async_mode is None:
try:
import gevent
async_mode = 'gevent'
except ImportError:
pass
if async_mode is None:
... | Radkos1976/Hrnest-FLask-enchacment | HrnestBoss/HrnestBoss/__init__.py | __init__.py | py | 4,549 | python | en | code | 0 | github-code | 36 |
11370466883 | import requests
from time import sleep
class Ark(object):
"""This is a python wrapper for the ARK api"""
def __init__(self,api_token):
self.api_token = api_token
self.header = {'api_token' : self.api_token }
def check_token(self,full_object=False):
"""Checks the number of calls your token has left"""
bas... | gregimba/Ark | ark.py | ark.py | py | 2,070 | python | en | code | 2 | github-code | 36 |
36219148196 | import numpy as np
from numpy import array
from mSimplexFaseII import solve
from scipy.optimize import linprog
import pprint
from math import log, exp
from numpy.random import rand, normal
from numpy import round, int, abs, array, transpose
def main():
#Primer test
A = array([[1,0], [0, 2], [3, 2]])
b = ... | SergioArnaud/Linear-programming | Practica1/testFaseII.py | testFaseII.py | py | 2,007 | python | en | code | 0 | github-code | 36 |
4861207569 | from dataclasses import dataclass
from datetime import datetime,date
import pytz
import dateparser
from typing import Union
import pandas as pd
from sqlalchemy import Column,Integer,DateTime,Text,TIMESTAMP,MetaData,Table
from sqlalchemy.engine import create_engine
from sqlalchemy.exc import OperationalError
fr... | nitesh1489/test | helpers/handlers.py | handlers.py | py | 6,204 | python | en | code | 1 | github-code | 36 |
42776999573 | """canaryAPI URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-bas... | toucan-project/TOUCAN | toucan/canary_api/urls.py | urls.py | py | 2,670 | python | en | code | 3 | github-code | 36 |
33277423381 | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 28 14:15:31 2017
@author: Simon
"""
import sleeploader
import imp
imp.reload(sleeploader)
if __name__=='__main__':
sleep = sleeploader.SleepDataset('D:/sleep/isruc')
channels = {'EEG':['C4-A1','C4-M1'], 'EMG':'X1','EOG':['LOC-A2','E1-M2']}
references = {'Re... | skjerns/AutoSleepScorerDev | tmp.py | tmp.py | py | 424 | python | en | code | 8 | github-code | 36 |
12639565741 | from mainapp.model.Event import Event
from datetime import datetime
from django.core.cache import cache
from mainapp.Common import CacheUtil
from django.conf import settings
from django.utils import timezone
KEY_CACHE_DAO_GET_ALL_EVENT_ACTIVE = 'context-dao-all-event-active'
KEY_CACHE_DAO_GET_ALL_EVENT_NOT_ACTIVE = 'c... | trunganhvu/personalweb | mainapp/dao/Event/EventDao.py | EventDao.py | py | 2,795 | python | en | code | 0 | github-code | 36 |
25770685168 | import numpy as np
import seaborn
from PIL import Image
import matplotlib.pyplot as plt
import tensorflow as tf
from keras import layers, models
from sklearn.metrics import confusion_matrix
from sklearn.preprocessing import StandardScaler, Normalizer
from sklearn import svm
from sklearn.metrics import f1_score... | AndrewSSB/KaggleCompetition | main.py | main.py | py | 10,932 | python | en | code | 0 | github-code | 36 |
9228040497 | import torch
from torch._C import Value
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.modules.loss import PoissonNLLLoss
from .MultiHeadAttention import MultiHeadAttention
from .Block import Block
class Decoder(nn.Module):
"""
add another attention between encoder's out and decoder
a... | chenzhike110/Transformer | Tranformer/Modules/Decoder.py | Decoder.py | py | 1,380 | python | en | code | 0 | github-code | 36 |
34444799833 | """Further improved the emphasis - drawing the user's attention when there is
only one available seat left
"""
# initialize loop so that it runs at least once
name = ""
count = 0
MAX_TICKETS = 5
while name != "Xxx" and count < MAX_TICKETS:
if MAX_TICKETS - count > 1:
print(f"\nYou have {MAX_TICKETS - coun... | yis1234/Mega_Movie_Fundraiser | 02_ticket_loop_v4.py | 02_ticket_loop_v4.py | py | 822 | python | en | code | 0 | github-code | 36 |
43041308146 | from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QApplication,QWidget,QHBoxLayout,QVBoxLayout,QRadioButton,QGroupBox,QPushButton,QLabel,QListWidget,QLineEdit
from second_win import *
from instr import *
class FinalWin(QWidget):
def __init__(self,exp):
super().__init__(... | AlexanderKudelya/indexruf | index/final_win.py | final_win.py | py | 976 | python | en | code | 0 | github-code | 36 |
69801320106 | import csv
import sys
from collections import defaultdict
sys.setrecursionlimit(10**9)
array_words = []
with open('sgb-words.txt') as csv_file:
csv_reader = csv.reader(csv_file)
for row in csv_reader:
array_words.append(row[0])
def list_incident(word, array_words):
array = []
for w in array_w... | Chidt12/discreteMath | Bai3_Searching_on_graph/bai3b_searching_on_graph.py | bai3b_searching_on_graph.py | py | 2,846 | python | en | code | 0 | github-code | 36 |
21365527624 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from dptb.nnet.mlp import MLP
from dptb.utils.tools import _get_activation_fn
from typing import Optional, Any, Union, Callable
class ResBlock(nn.Module):
def __init__(self, n_in, n_hidden, n_out, activation: Union[str, ... | deepmodeling/DeePTB | dptb/nnet/resnet.py | resnet.py | py | 2,761 | python | en | code | 21 | github-code | 36 |
31197803049 | """
Cryptocurrency network definitions
"""
class Network:
"""
Represents a cryptocurrency network (e.g. Bitcoin Mainnet)
"""
def __init__(self, description, version_priv, version_pub, pub_key_hash,
wif):
self.description = description
self.version_priv = version_priv
... | henriquetft/pyhdwallet | pyhdwallet/networks.py | networks.py | py | 1,814 | python | en | code | 5 | github-code | 36 |
13536557102 | '''
Prova Pratica di Laboratorio di Sistemi Operativi
19 luglio 2010
Esercizio 3
URL: http://www.cs.unibo.it/~renzo/so/pratiche/2010.09.13.pdf
@author: Tommaso Ognibene
'''
import os, sys, hashlib, difflib
def main(argv):
# Check number of parameters
if len(argv) != 3:
sys.exit("The function needs t... | tomOgn/OS-Python | OS-Python/2004-01-27/showDifferences.py | showDifferences.py | py | 3,105 | python | en | code | 0 | github-code | 36 |
73080924903 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 31 04:34:53 2018
@author: can
"""
import pandas as pd
import numpy as np
import SimilartyLib as sim
#
#from sklearn.decomposition import PCA
#from sklearn import preprocessing
import createGraph as cG
import graph_tool.all as gt
indElement= ["al2... | cantek41/SpectrumSimilarty | peakSim.py | peakSim.py | py | 2,223 | python | en | code | 0 | github-code | 36 |
3494741214 | #!/usr/bin/env python3
def make_list(lst):
a, b = [], []
lst = sorted(lst)
a.append(lst.pop(len(lst)//2))
if len(lst)>0:
b.append(lst[:len(lst)//2])
b.append(lst[len(lst)//2:])
while len(a) != len(lst):
if b[0] != []:
a.append(b[0][len(b[0])//2])
a = b.pop(0)
b.append(a[:len(a)//2])
b.appe... | debuitc4/CA268 | week5/student_test.py | student_test.py | py | 371 | python | zh | code | 0 | github-code | 36 |
7549303047 | #### import ####
import sys
sys.path.append("../")
import App
from pprint import pprint as pp
import time
import json
class LogiViewSum:
""" 予測結果を表示するためのクラス """
#entry_id
#a_type
#seido
#sql_common_cond
def __init__(self):
#db接続の取得
app = App.AppClass()
self.db = app... | Takuya-Nakamura/utility | python/machine_learning_study/logistic/3_logi_view_sum.py | 3_logi_view_sum.py | py | 6,061 | python | en | code | 0 | github-code | 36 |
72237218663 | """Form definitions."""
from braces.forms import UserKwargModelFormMixin
from crispy_forms.helper import FormHelper, Layout
from crispy_forms.layout import Fieldset, Submit
from django import forms
from django.utils.translation import gettext_lazy as _
from .models import Sheet
class SheetForm(UserKwargModelFormMi... | FlowFX/unkenmathe.de | src/um/sheets/forms.py | forms.py | py | 1,017 | python | en | code | 1 | github-code | 36 |
17484175139 | from Modules.Fint import Fint
from Modules.PMS import PMS
import unittest
class TestPMS(unittest.TestCase):
def test_set_fint(self):
pms = PMS()
fint = Fint()
pms.set_fint(fint)
self.assertEqual(fint, pms.fint)
def test_set_data(self):
pms = PMS()
fint = Fint(... | alexamar0714/TRYBOT | TestModules/TestPMS.py | TestPMS.py | py | 1,078 | python | en | code | 1 | github-code | 36 |
12996324236 | from Lib.HelpFunction import stop_stopwatch, start_stopwatch
from Lib.data.DataCSV import DataCSV
from Lib.PreprocessClass import Preprocess
"""Method manage getting data and preprocessing for both tests."""
def get_and_preprocess_data(arguments, min_items_for_user = 1):
preprocess_class = Preprocess(arguments=ar... | recombee/lsh-library | src/DataDbgetParse.py | DataDbgetParse.py | py | 1,706 | python | en | code | 0 | github-code | 36 |
15480079320 | import io
from PIL import Image
from django.test import TestCase, Client
from django.urls import reverse
import numpy as np
from unittest.mock import patch
from mnist_predictor.views import make_prediction
class PredictViewTestCase(TestCase):
def setUp(self):
self.client = Client()
# Create a test ... | MichelWakim/mnist-api | mnist_predictor/tests.py | tests.py | py | 1,514 | python | en | code | 0 | github-code | 36 |
2875218070 | #!/usr/bin/python3
import requests
def number_of_subscribers(subreddit):
""" Set a custom User-Agent in headers to prevent API errors"""
headers = {'User-Agent': 'MyRedditBot/1.0'}
""" Construct the API URL for the given subreddit"""
url = f'https://www.reddit.com/r/{subreddit}/about.json'
""" Ma... | Ojobumiche/alx-higher_level_programming | 0x16-api_advanced/0-subs.py | 0-subs.py | py | 933 | python | en | code | 0 | github-code | 36 |
13100959928 | from __future__ import print_function
# import logging
import json
import sys
import uuid
from random import randrange # TODO remove this
import requests
import logging
from cakework import exceptions
from urllib3.exceptions import NewConnectionError
import os
# TODO: need to re-enable TLS for the handlers in the fl... | usecakework/async-backend | sdk/python/src/cakework/client.py | client.py | py | 6,074 | python | en | code | 3 | github-code | 36 |
44298786313 | # -*- coding: utf-8 -*-
"""
Created on Fri Nov 30 08:29:53 2018
@author: Ahsan
"""
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import compile, Aer
from QGates import gateArity , gateName
class QCircuit:
def __init__ (self,qBit,cBit,shot=1):
'''... | usamaahsan93/AutoQP | myQFn.py | myQFn.py | py | 2,868 | python | en | code | 0 | github-code | 36 |
26122545244 | # -*- coding: utf-8 -*-
"""
Created on Thu Jan 14 09:43:42 2016
@author: sampepose
"""
import csv
import numpy as np
from sklearn.neighbors import KNeighborsClassifier
import matplotlib.pyplot as plt
data = []
TestData = []
# Read the training data
f = open('data/train.csv')
reader = csv.reader(f)
next(reader, None... | sampepose/digit-recognizer | kNearestNeighbor/test_increasing_sample_size.py | test_increasing_sample_size.py | py | 1,447 | python | en | code | 0 | github-code | 36 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.