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
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
71075554025 | class Solution:
def findShortestSubArray(self, nums: List[int]) -> int:
count = Counter(nums)
degree = max(count.values())
candidates = {}
for n in count:
if count[n] == degree:
candidates[n] = [-1, -1]
res = float('inf')... | nango94213/Leetcode-solution | 697-degree-of-an-array/697-degree-of-an-array.py | 697-degree-of-an-array.py | py | 817 | python | en | code | 2 | github-code | 36 |
14992228919 | from flask import Flask
from flask import request
from urllib.parse import urlencode
import requests
import json
server = Flask(__name__)
api_key = "AIzaSyAWtsz4ALYdHQJKRSeGv-invChqgL7tAFs"
@server.route('/location')
def location():
city_name = request.values.get('city-name')
data_type = "json"
endpoint = f"https:... | KJS89/Wuduplz | Web mining/final/locationList.py | locationList.py | py | 1,190 | python | en | code | 2 | github-code | 36 |
22007463848 | #!/usr/bin/env python3
import os
import subprocess
import sys
def get_souffle_version():
lines = subprocess.check_output(['souffle', '--version']).decode().split('\n')
line = ([l for l in lines if 'Version' in l] + lines)[0]
version = line.split(': ')[1].replace('-', '.').replace('(64bit Domains)', '').split('.')
... | typro-type-propagation/TyPro-CFI | llvm-typro/lib/Typegraph/patch_souffle_datastructures.py | patch_souffle_datastructures.py | py | 1,497 | python | en | code | 3 | github-code | 36 |
37636175480 | # 861. Score After Flipping Matrix
# Medium
# 333
# 88
# Favorite
# Share
# We have a two dimensional matrix A where each value is 0 or 1.
# A move consists of choosing any row or column, and toggling each value in that row or column: changing all 0s to 1s, and all 1s to 0s.
# After making any number of moves, ev... | sunnyyeti/Leetcode-solutions | 861_Score_After_Flipping_Matrix.py | 861_Score_After_Flipping_Matrix.py | py | 1,317 | python | en | code | 0 | github-code | 36 |
43303443334 | #! /usr/bin/env python
import colorsys
def hsv2ansi(h, s, v):
# h: 0..1, s/v: 0..1
if s < 0.1:
return int(v * 23) + 232
r, g, b = map(lambda x: int(x * 5), colorsys.hsv_to_rgb(h, s, v))
return 16 + (r * 36) + (g * 6) + b
def ramp_idx(i, num):
assert num > 0
i0 = float(i) / num
h = ... | mozillazg/pypy | rpython/tool/ansiramp.py | ansiramp.py | py | 742 | python | en | code | 430 | github-code | 36 |
19655830809 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on 03/03/2021
@author: phongdk
"""
import os
from datetime import datetime
import icecream
DATA_DIR = os.getenv('DATA_DIR', '/shared_storage/bi_mlearn_training/coccoc_shopping')
DATA_FILENAME = f'{DATA_DIR}/data/shopee_sample.pkl'
DOC2VEC_FILENAME = f"{DATA_D... | phongdk92/shopping_retrieval | src/config.py | config.py | py | 1,703 | python | en | code | 0 | github-code | 36 |
953778032 | pkgname = "libxxf86misc"
pkgver = "1.0.4"
pkgrel = 0
build_style = "gnu_configure"
configure_args = ["--enable-malloc0returnsnull"]
hostmakedepends = ["pkgconf"]
makedepends = ["xorgproto", "libxext-devel", "libx11-devel"]
pkgdesc = "XFree86-Misc X extension library"
maintainer = "q66 <q66@chimera-linux.org>"
license =... | chimera-linux/cports | main/libxxf86misc/template.py | template.py | py | 668 | python | en | code | 119 | github-code | 36 |
36121027603 | import logging
import sys
import torch
import yaml
from tagging_trainer import TaggingTrainer
from forte.common.configuration import Config
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)
if __name__ == "__main__":
task = sys.argv[1]
assert task in ["ner", "pos"], "Not supported... | asyml/forte | examples/tagging/main_train_tagging.py | main_train_tagging.py | py | 1,785 | python | en | code | 230 | github-code | 36 |
2412656493 | from karp5.server import searching
from karp5.tests.util import get_json
def test_autocomplete_with_q(client_w_panacea):
result = get_json(client_w_panacea, "autocomplete?q=sig")
assert result["hits"]["total"] == 0
# https://ws.spraakbanken.gu.se/ws/karp/v5/autocomplete?multi=kasta,docka&resource=saldom&... | spraakbanken/karp-backend-v5 | karp5/tests/integration_tests/server/test_searching_integration.py | test_searching_integration.py | py | 9,519 | python | en | code | 4 | github-code | 36 |
30838795713 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Nov 11 18:11:32 2021
@author: mathisagathe
"""
from pymongo import MongoClient
import matplotlib.pyplot as plt
client = MongoClient("10.35.7.4", username = "mathis", password = "MathisM21", authsource = "mathisdb")
db=client.mathisdb
collection = d... | romanelollier/School_Project_BigData | requetes_mod.py | requetes_mod.py | py | 1,536 | python | fr | code | 0 | github-code | 36 |
33406629366 | """
Main Neural Network Pipeline.
"""
#-------------------------- set gpu using tf ---------------------------#
import tensorflow as tf
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
session = tf.Session(config=config)
#------------------- start importing keras module ---------------------#
from ke... | ghunkins/Binaural-Source-Localization-CNN | Neural_Net/v3/neuralnet.py | neuralnet.py | py | 2,940 | python | en | code | 9 | github-code | 36 |
42831133132 | #!/usr/bin/env python3
import struct
import json
import sys
def write_tileset(filename, spec):
with open(spec['base'], 'rb') as src:
base_data = src.read()
with open(spec['overlay'], 'rb') as src:
overlay_data = src.read()
if 'cc2' in spec:
with open(spec['cc2'], 'rb') as src:
... | zrax/cctools | res/gen_tilesets.py | gen_tilesets.py | py | 1,323 | python | en | code | 18 | github-code | 36 |
21885184448 | """
Device discovery
"""
import enum
import re
from dataclasses import asdict, dataclass
from queue import Empty, Queue
from socket import inet_ntoa
from typing import Dict, Generator, List, Optional
import click
import requests
import usb
from zeroconf import ServiceBrowser, ServiceInfo, ServiceStateChange, Zeroconf... | BrewBlox/brewblox-ctl | brewblox_ctl/discovery.py | discovery.py | py | 7,942 | python | en | code | 3 | github-code | 36 |
74508033382 | #!/bin/python3
import sys
n = int(input().strip())
for i in range(n):
line = ""
for j in range(n):
if j < (n - i - 1):
line = line + " "
else:
line = line + "#"
print(line)
| costincaraivan/hackerrank | algorithms/warmup/python3/staircase.py | staircase.py | py | 237 | python | en | code | 1 | github-code | 36 |
75009815143 | import asyncio
import logging
from random import randint
from src.streaming import Consumer, Producer, Topic
LOGGER = logging.getLogger(__name__)
GROUP_ID = "WEBSITE_NER"
async def amain():
"""Consume website changes, produce NER results."""
consumer = await Consumer.create(Topic.CHANGE.value, group_id=G... | SebastianRemander/eda-demo | src/producers/website_ner.py | website_ner.py | py | 1,060 | python | en | code | 1 | github-code | 36 |
23297663163 | import pathlib
import pandas as pd
from model import dez
datadir = pathlib.Path(__file__).parents[0].joinpath('data')
def test_populate_solution_land_distribution():
expected = pd.read_csv(datadir.joinpath('lbt_ocean_dist.csv'), index_col=0)
de = dez.DEZ('Limiting bottom trawling')
# We freeze applicabl... | ProjectDrawdown/solutions | model/tests/test_dez.py | test_dez.py | py | 634 | python | en | code | 203 | github-code | 36 |
39433044372 | from html.parser import HTMLParser
from urllib.error import HTTPError
import urllib.request
from urllib.request import urlopen
from urllib import parse
import sys
import pandas as pd
url = 'https://www.yapo.cl/chile/autos?ca=5_s&l=0&st=s&br=68&mo=36'
url_2 = 'https://www.chileautos.cl/autos/busqueda?s={:d}&q=(C.Marc... | simontorres/experimentos | depreciacion_autos/webcrawl.py | webcrawl.py | py | 6,480 | python | en | code | 0 | github-code | 36 |
9817120997 | import itertools
import os
import pandas as pd
import pickle
import random
import torch
from torchvision import datasets
from tqdm import tqdm
from scipy import rand
import data_handler
from models import AlexNet, Vgg16
def generate_model_testset_results(model, testset_path):
"""
Evaluate whole 'imagenetv2-m... | tlabarta/helpfulnessofxai | experiment_creator.py | experiment_creator.py | py | 7,853 | python | en | code | 0 | github-code | 36 |
37452044980 | import os, sys, subprocess, time
def CAPTURE(cmd): return subprocess.run(f'{cmd}', shell=True, capture_output=True).stdout.decode('utf-8').strip(' \n') # capture & format terminal output
def SBATCH(job_id, partition, nodes, ntasks, memory, walltime, out_err, task=None, email=None, conda_env=None):
labels = ['job... | mattheatley/sra_download | core.py | core.py | py | 4,087 | python | en | code | 0 | github-code | 36 |
22996305248 |
class Solution:
def findTilt(self, root):
if root is None:
return 0
result = 0
queue = [root]
while len(queue):
node = queue.pop()
if node.left is None:
a = 0
else:
a = self.bfs_sum(node.left)
... | xmu-ggx/leetcode | 563.py | 563.py | py | 923 | python | en | code | 0 | github-code | 36 |
26672929841 | #!/usr/bin/env python
import argparse
import itertools
import pandas as pd
def getCmdArgs():
p = argparse.ArgumentParser(description="Add scenes in neighboring rows of scenes in a given scene ID list.")
p.add_argument("-l", "--list", dest="scn_list", required=True, default=None, metavar="CSV_OF_SCENE_LIST",... | zhanlilz/landsat-tools | landsat-albedo-pipeline/buffer_scene_list.py | buffer_scene_list.py | py | 3,074 | python | en | code | 3 | github-code | 36 |
32453645847 | from tkinter import *
import re
import ast
class ResizingCanvas(Canvas):
"""
Class for making dynamic resizing for the text window we are using.
Example usage:
root = Tk()
txt_panel = Text(root)
txt_panel.pack(fill=BOTH, expand=YES)
ResizingCanvas(txt_panel, width=850, hei... | BrickText/BrickTextExperimental | autocomplete.py | autocomplete.py | py | 4,453 | python | en | code | 0 | github-code | 36 |
73368915303 | from __future__ import print_function
import numpy as np
np.random.seed(1337)
from itertools import product
from sklearn import cluster
from sklearn.externals import joblib
from keras.datasets import mnist
from sklearn.neighbors import KNeighborsClassifier
from scipy.misc import imresize
from keras.utils import np_util... | jmendozais/lung-nodule-detection | bovw.py | bovw.py | py | 12,019 | python | en | code | 11 | github-code | 36 |
75127774184 | import sys
from cravat import BaseAnnotator
from cravat import InvalidData
import sqlite3
import os
class CravatAnnotator(BaseAnnotator):
def setup(self):
self.cursor.execute('select distinct chr from omim where chr not null;')
if hasattr(self, 'supported_chroms'):
self.supp... | KarchinLab/open-cravat-modules-karchinlab | annotators/omim/omim.py | omim.py | py | 1,137 | python | en | code | 1 | github-code | 36 |
1904857127 | from scipy import linalg
import numpy as np
import scipy.optimize as sopt
import matplotlib.pyplot as plt
from scipy.optimize import fsolve
from scipy.optimize import LinearConstraint
from matplotlib import cm
import tabulate
import math
START_POINT = [2,2]
# fun - main muction
def fun(x: np.ndarray) -> np.float64:
... | BON4/FuncOptimization | constarint_optimization.py | constarint_optimization.py | py | 6,464 | python | en | code | 0 | github-code | 36 |
23006702098 |
import torch
import numpy as np
from torch._C import dtype
from torch import nn
from torch.nn import functional as F
from torchvision import transforms
from torchvision.transforms import functional as TF
class ImageAugmentation():
def __init__(self):
super().__init__()
"""
PepperSaltNoise
... | xmu-xiaoma666/SDATR | models/augmentation.py | augmentation.py | py | 6,969 | python | en | code | 18 | github-code | 36 |
15744632677 | import multiprocessing
import optparse
import os
import re
from error import InvalidProjectGroupsError
from error import NoSuchProjectError
from error import RepoExitError
from event_log import EventLog
import progress
# Are we generating man-pages?
GENERATE_MANPAGES = os.environ.get("_REPO_GENERATE_MANPAGES_") == "... | GerritCodeReview/git-repo | command.py | command.py | py | 17,769 | python | en | code | 267 | github-code | 36 |
74953743465 | """Unit tests for the config module."""
import os
import pytest
from wmtmetadata.config import Config, ConfigFromFile, ConfigFromHost
from wmtmetadata.host import HostInfo
from . import data_dir
tmp_dir = '/tmp'
sample_config_file = os.path.join(data_dir, 'wmt-config-siwenna.yaml')
host = 'siwenna.colorado.edu'
name... | csdms/wmt-metadata | wmtmetadata/tests/test_config.py | test_config.py | py | 1,593 | python | en | code | 0 | github-code | 36 |
17541630757 | import glob
import os
import random
import shutil
import numpy as np
import torch
import torch.nn as nn
import torchvision.transforms.v2 as T
def set_seed(seed: int = 42):
"""Sets the seed for reproducibility."""
random.seed(seed)
np.random.seed(seed)
os.environ["PYTHONHASHSEED"] = str(seed)
torc... | xkurozaru/fewshot-finetune-domain-adaptation | common/utils.py | utils.py | py | 1,761 | python | en | code | 0 | github-code | 36 |
27414823832 |
import logging
import os
from copy import deepcopy
from harmony.util import shortened_id
from harmony.repository_state import RepositoryState
logger = logging.getLogger(__name__)
def commit(local_location_id, working_directory, location_states, repository_state):
"""
Scan the given working directory for cha... | Droggelbecher/harmony | harmony/file_state_logic.py | file_state_logic.py | py | 9,182 | python | en | code | 0 | github-code | 36 |
74273514024 | import numpy as np
import jax
from jax import lax, random, numpy as jnp
import flax
from flax.core import freeze, unfreeze
from flax import linen as nn
from flax import optim
from typing import Any, Callable, Sequence, Optional
import pickle
from tensorflow import keras
file_prefix = "struct"
activation = nn.relu... | mselezniova/ntk_beyond_limit | ntk_train_dynamics.py | ntk_train_dynamics.py | py | 5,198 | python | en | code | 0 | github-code | 36 |
36955110589 | import wttest
from wiredtiger import stat
from wtscenario import make_scenarios
# Test compact behaviour with overflow values.
class test_compact03(wttest.WiredTigerTestCase):
uri='table:test_compact03'
fileConfig = [
('1KB', dict(fileConfig='allocation_size=1KB,leaf_page_max=1KB')),
('4KB', ... | mongodb/mongo | src/third_party/wiredtiger/test/suite/test_compact03.py | test_compact03.py | py | 7,278 | python | en | code | 24,670 | github-code | 36 |
34385049617 | """ Code for computing SW distances between PDs [1]_ of point cloud summaries of activations
Notes
-----
Relevant section : Experiments with PH
Relevant library : `Persim` [2]_
References
----------
.. [1] Carrière, M.; Cuturi, M.; and Oudot, S. 2017. Sliced Wasserstein Kernel for
Persistence Diagrams. In Precup... | pnnl/DeepDataProfiler | papers_with_code/ExperimentalObservations/AAAI-code-PH/SW_distances.py | SW_distances.py | py | 4,209 | python | en | code | 20 | github-code | 36 |
19483517480 | '''
函数说明:
Author: hongqing
Date: 2021-08-04 14:23:54
LastEditTime: 2021-08-04 15:23:25
'''
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
numoffinger=21
class Net(nn.Module):
def __init__(self,type=1):
super(Net, self).__init__()
self.fc1 = nn.Linear(numoffing... | KouseiHongqing/KouseiPose | mymodel.py | mymodel.py | py | 1,095 | python | en | code | 0 | github-code | 36 |
42157253168 | """empty message
Revision ID: c4665b8d682b
Revises: 10dbb0e0a903
Create Date: 2019-12-26 14:38:11.609539
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'c4665b8d682b'
down_revision = '10dbb0e0a903'
branch_labels = None
depends_on = None
def upgrade():
# ... | FeelingsLw/flask_demo2 | migrations/versions/c4665b8d682b_.py | c4665b8d682b_.py | py | 646 | python | en | code | 0 | github-code | 36 |
16879280056 | import requests
import json
import urllib3
from settings import settings as settings
from sdwan_operations import monitor as sdwanmn
import time
import sys, getopt
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
def main(argv):
# To run the program use the syntax:
# python __main__.py -d <... | stantiku/sdwan_monitor | __main__.py | __main__.py | py | 2,117 | python | en | code | 0 | github-code | 36 |
43114992788 | """
The codes are heavily borrowed from NeuS
"""
import os
import cv2 as cv
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import logging
import mcubes
from icecream import ic
from models.render_utils import sample_pdf
from models.projector import Projector
from tsparse.torchspa... | One-2-3-45/One-2-3-45 | reconstruction/models/sparse_neus_renderer.py | sparse_neus_renderer.py | py | 44,709 | python | en | code | 1,164 | github-code | 36 |
5058919782 |
from django.db import models
# Create your models here.
class Meal(models.Model):
menu = models.TextField(blank=True)
def __str__(self):
return self.menu
class MealList(models.Model):
date = models.DateField(blank=True)
breakfast = models.ForeignKey(
Meal,
blank=True,
... | KaceTH/django_api-0.00.90 | MealTable/models.py | models.py | py | 1,139 | python | en | code | 0 | github-code | 36 |
74486754983 | def is_prime(num):
if(num>1):
for i in range(2,num):
if((num % i) != 0):
#number is prime
return 1
else:
return 0
#driver code
num= int(input("\n Enter the positive number: "))
print(is_prime(num))
if(num==1):
prin... | Charut24/Programming-Paradigms- | Lab Assignment 4_3.py | Lab Assignment 4_3.py | py | 490 | python | en | code | 0 | github-code | 36 |
16098373063 | #!/usr/bin/env python
"""Notepad-- : A very simple text editor."""
import sys
if sys.version_info < (3,):
import Tkinter as tk
import tkFileDialog as filedialog
else:
import tkinter as tk
from tkinter import filedialog
def create_gui(root):
"""Set up the GUI and functionality."""
root.title("N... | jgat/notepad-- | notepad--.py | notepad--.py | py | 1,143 | python | en | code | 1 | github-code | 36 |
35090835676 | #!/usr/bin/python
######################################################################################
## Find disk usage under a root directory, examples:
## 1. python du_rootdir.py -d rootDir
## Find disk usage under the root directory "rootDir"
## 2. python du_rootdir.py -d rootDir -r true
## Find di... | zhichang-guo/Scripts | du_rootdir.py | du_rootdir.py | py | 2,785 | python | en | code | 0 | github-code | 36 |
7595057258 | from os import path
from subprocess import check_output, check_call
from pathlib import Path
def _filename(fname):
import yapl
yapl_root = Path(yapl.__file__).parent
filename = fname + ".sh"
full_filename = yapl_root / filename
return str(full_filename)
def func(fname, *args):
shell_script = _... | padresmurfa/yapl | python_library/yapl/internal/shell_call.py | shell_call.py | py | 613 | python | en | code | 0 | github-code | 36 |
4758110469 | import os, random
import numpy as np
import torch
import argparse
from train import train
def init_seeds(seed=0):
random.seed(seed)
np.random.seed(seed)
torch.manual_seed(seed)
torch.cuda.manual_seed(seed)
torch.cuda.manual_seed_all(seed)
def parsing_args(c):
parser = argparse.ArgumentParser(... | cool-xuan/msflow | main.py | main.py | py | 2,580 | python | en | code | 15 | github-code | 36 |
73202366184 | import os, sys
from langchain.llms import OpenAI
from langchain.chains.question_answering import load_qa_chain
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.vectorstores import FAISS
prefix, query = sys.argv[1:3]
api_key = os.environ.get('OPENAI_API_KEY')
if api_key is None:
sys.exit("O... | d2jvkpn/x-ai | pkg/langchain/langchain_query.py | langchain_query.py | py | 833 | python | en | code | 0 | github-code | 36 |
9008219006 | print('Задача 1. Результаты')
import os
import random
# Одному программисту дали задачу для обработки неких результатов тестирования
# двух групп людей. Файл первой группы (group_1.txt) находится в папке task,
# файл второй группы (group_2.txt) — в папке Additional_info.
# На экран нужно было вывести сумму очков пер... | SertFly/Python_Basic_Training | Module_22 (Module_9)/Task_9_3_1.py | Task_9_3_1.py | py | 1,562 | python | ru | code | 0 | github-code | 36 |
34620661332 | from turtle import Turtle
import random
COLORS = ["red", "orange", "yellow", "green", "blue", "purple"]
BORDER = "black"
STARTING_MOVE_DISTANCE = 5
MOVE_INCREMENT = 5
class CarManager:
def __init__(self):
self.all_cars = []
self.initial_speed = STARTING_MOVE_DISTANCE
def createCar(self):
... | bose-aritra2003/Turtle-Crossing | car_manager.py | car_manager.py | py | 1,226 | python | en | code | 1 | github-code | 36 |
26546120550 | # Пример кода 1. Файл test_add_house
#Асбстрактный сервис по созданию сущности дома и квартир в нем (для ТСЖ)
from model.new_house import New_house
from model.rooms import Rooms
import time
def test_add_house(app):
app.new_house.fill_info(New_house(district="Железнодорожный", street="Тестовая", house_number=... | NickVolzh/tasks2 | task_review_service.py | task_review_service.py | py | 1,415 | python | ru | code | 0 | github-code | 36 |
74731484265 | import torch
from torch.optim.optimizer import Optimizer
class COCOB(Optimizer):
r"""Implements COCOB algorithm.
It has been proposed in `Training Deep Networks without Learning Rates Through Coin Betting`_.
Arguments:
params (iterable): iterable of parameters to optimize or dicts defining
... | bremen79/parameterfree | parameterfree/cocob.py | cocob.py | py | 4,274 | python | en | code | 73 | github-code | 36 |
26246312144 | import serial
from sense_hat import SenseHat
from socket import gethostname
from xbee import XBee
from statistics import median
def clear_matrix():
sense.clear()
def show_hostname():
hostname = gethostname()
sense.show_message("Hostname: " + hostname)
def receive_data(data):
print("received data: ", ... | tristndev/UzL_DSN | Tutorial 4/ex04_01_RSSI_to_distance.py | ex04_01_RSSI_to_distance.py | py | 4,390 | python | en | code | 1 | github-code | 36 |
11624227934 | import re
import sys
from napalm import get_network_driver
from getpass import getpass
def pretty_print(d, indent=0):
for key, value in d.items():
print('\t' * indent + str(key))
if isinstance(value, dict):
pretty_print(value, indent+1)
elif isinstance(value, list):
... | pkomissarov/cisco-parsers | parsecfg.py | parsecfg.py | py | 3,480 | python | en | code | 0 | github-code | 36 |
73157619305 | from distutils.core import setup
from os.path import isdir
from itertools import product
all_packages = ['airborne_car_simulator']
packages = list(filter(isdir, all_packages))
setup(
name='ese615',
packages=packages,
version='0.1',
install_requires=[
'pyyaml',
'opencv-python',
... | ngurnard/f1tenth_pitch_control | simulator/airborne_car_simulator/setup.py | setup.py | py | 398 | python | en | code | 0 | github-code | 36 |
16015771292 | import heapq
from sys import stdin
n = int(stdin.readline())
# print(f'n: {n}')
arr = list(map(int,stdin.readline().split()))
# print(f'arr: {arr}')
heap, answer = [], 0
for _ in range(n):
num = arr[_]
# print(f'num: {num}')
heapq.heappush(heap, num)
# print(f'heap: {heap}')
# print(len(heap))
# if len(hea... | HiImConan/algorithm-study | 백준/Silver/14241. 슬라임 합치기/슬라임 합치기.py | 슬라임 합치기.py | py | 518 | python | en | code | 0 | github-code | 36 |
26825630541 | #!/usr/bin/python
import numpy as np
import matplotlib.pyplot as plt
import argparse, os, sys, glob, time
from tqdm import tqdm
from skimage.transform import resize
import cPickle
from keras.layers import average
from keras.models import load_model, Model
from training_utils import scale_data, compute_time_series
im... | DominicL3/hey-aliens | simulateFRBclassification/predict.py | predict.py | py | 13,210 | python | en | code | 6 | github-code | 36 |
1313517117 | from __future__ import print_function
import argparse
import keras
from data_utils import load_data
from sklearn.model_selection import train_test_split
from model import vgg16
from hyperspace import hyperdrive
num_classes = 10
batch_size = 32
epochs = 5
# The data, shuffled and split between train and test sets:
... | yngtodd/vgg_hyper | vgg_hyper/main.py | main.py | py | 2,878 | python | en | code | 0 | github-code | 36 |
43102871488 | import playment
client = playment.Client("your-x-api-key-here")
frames = [
"https://example.com/image_url_1",
"https://example.com/image_url_2",
"https://example.com/image_url_3"
]
"""
Create sensor_data variable
"""
sensor_data = playment.SensorData()
"""
Defining Sensor: Contain details of sensor
:p... | crowdflux/playment-sdk-python | examples/video_job_creation.py | video_job_creation.py | py | 2,037 | python | en | code | 0 | github-code | 36 |
31310132227 | """Extract KML data into DataFrame."""
from typing import Dict, Sequence, Union
import numpy as np
import pandas as pd
from pykml import parser
from pykml.factory import KML_ElementMaker as KML
NS = {"t": "http://www.opengis.net/kml/2.2"}
def read_kml(filepath: str) -> KML.kml:
"""Read a KML file.
Param... | dankkom/kmldata | kmldata/parser.py | parser.py | py | 6,224 | python | en | code | 0 | github-code | 36 |
40279875263 | import math
import random
# random.seed(0.24975077935850032)
# random.seed(0.0329938859085428)
# print('Current seed - robustness', random.random())
"""
position 19,30 could be avoided with areaSize parameter and fitness function
Seed: 0.24975077935850032
This seed does a good job of exaggerating the difference between... | 472mbah/path-finding | algorithms/automate/robustness.py | robustness.py | py | 1,581 | python | en | code | 0 | github-code | 36 |
22660738512 | # data_processing.py
from shapely import wkb
from shapely.geometry import shape
import binascii
import psycopg2
ewkb_data = None
def get_variable_ewkb():
global ewkb_data
print("variable ewkb")
print(ewkb_data)
return ewkb_data
def process_for_view(data):
global ewkb_data # Declare ewkb_da... | Fakhrynm/serverdatatrainingsitepython | Processdataview.py | Processdataview.py | py | 1,054 | python | en | code | 0 | github-code | 36 |
7078437282 | import os
import base64
import argparse
from cliff.command import Command
from cliff.show import ShowOne
from cliff.lister import Lister
from meteoroid_cli.meteoroid.v1.client.function_client import FunctionClient
from meteoroid_cli.meteoroid.v1.errors import CommandError
from meteoroid_cli.meteoroid.v1.libs.decorator... | OkinawaOpenLaboratory/fiware-meteoroid-cli | meteoroid_cli/meteoroid/v1/function.py | function.py | py | 7,858 | python | en | code | 5 | github-code | 36 |
1419102307 | #!/usr/bin/env python
# coding=utf-8
'''
Author: Yuxiang Yang
Date: 2021-08-21 16:29:41
LastEditors: Yuxiang Yang
LastEditTime: 2021-08-21 17:02:54
FilePath: /leetcode/剑指 Offer 60. n个骰子的点数.py
Description:
把n个骰子扔在地上，所有骰子朝上一面的点数之和为s。输入n，打印出s的所有可能的值出现的概率。
假设n=1，和一共有6种，6=5*1+1
n=2, 和一共有11种（最小是2，最大是12），11=5*2+1
n=3, 和一共有16... | yangyuxiang1996/leetcode | 剑指 Offer 60. n个骰子的点数.py | 剑指 Offer 60. n个骰子的点数.py | py | 1,226 | python | zh | code | 0 | github-code | 36 |
24503302432 | #%% Ejercicio 1
# Crear un programa que pida al usuario una letra, y si es vocal, muestre el mensaje
# "Es vocal". Sino, decirle al usuario que no es vocal
Letra = input('Porfavor ingrese una letra: ')
if Letra == 'a' or Letra == 'e' or Letra == 'i' or Letra == 'o' or Letra == 'u':
print('La letra {}, Es vocal'... | CriSarC/PythonExercises | 3.Condicionales/3.3.0Ejercicios.py | 3.3.0Ejercicios.py | py | 1,246 | python | es | code | 0 | github-code | 36 |
27551610430 | import argparse
import logging
import os
import shutil
import sys
import tarfile
import tempfile
import traceback
from zipfile import ZIP_DEFLATED, ZIP_STORED, ZipFile
import rdiffweb
from rdiffweb.core.librdiff import LANG, STDOUT_ENCODING, find_rdiff_backup, popen
logger = logging.getLogger(__name__)
# Increase th... | ikus060/rdiffweb | rdiffweb/core/restore.py | restore.py | py | 9,753 | python | en | code | 114 | github-code | 36 |
28111130337 | from django.db.models import Avg
from django.shortcuts import render, redirect
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.contrib.auth.models import User
from dinnerevent.models import Review
from .forms import UserRegisterForm, ProfileForm
def register(r... | taheeraahmed/Dinnersharing | middagproj/users/views.py | views.py | py | 1,640 | python | en | code | 0 | github-code | 36 |
22654441124 | from matplotlib.colors import ListedColormap
from sklearn import neighbors, datasets
import numpy as np
from matplotlib import pyplot as plt
from sklearn.neural_network import MLPClassifier
from sklearn.model_selection import train_test_split
# same process as svm
np.random.seed(0)
iris = datasets.load_iris()
X = iris... | fh-Zh/Classification.old | bpnn.py | bpnn.py | py | 1,918 | python | en | code | 0 | github-code | 36 |
2884786469 | # coding:utf-8
# @Time : 2020/4/21 19:18
# @Author: Xiawang
# Description:
import datetime
import time
import requests
import smtplib
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from email.header import Header
'''
用于主流程监控定期执行并发送报警信息
'''
def get_fix_time():
now_time = dat... | Ariaxie-1985/aria | task/send_auto_test_report.py | send_auto_test_report.py | py | 7,283 | python | en | code | 0 | github-code | 36 |
23420270770 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import datetime
from django.utils.timezone import utc
class Migration(migrations.Migration):
dependencies = [
('stock', '0088_auto_20160620_1304'),
]
operations = [
migrations.Create... | pmmrpy/SIGB | stock/migrations/0089_auto_20160622_1414.py | 0089_auto_20160622_1414.py | py | 2,301 | python | es | code | 0 | github-code | 36 |
21592351209 | def get_all_measurements():
f = open("input_day_1.txt", "r")
list_of_measurements = f.read().split('\n')
return list_of_measurements
def get_count_of_increased_sequent(measurements) -> int:
"""
Count how many sequent increases are in a list of measurements
Args:
measurement... | PavcaHyx/advent-of-code-2021 | day_1/day_1.py | day_1.py | py | 2,180 | python | en | code | 0 | github-code | 36 |
27875338483 | import json
import requests
from openerp.tests.common import HttpCase
from openerp import api, exceptions, tools, models
HOST = '127.0.0.1'
PORT = tools.config['xmlrpc_port']
class Webhook(models.Model):
_inherit = 'webhook'
@api.one
def run_wehook_test_get_foo(self):
"""
This method i... | Blancorama/blancorama_tools | webhook/tests/test_webhook_post.py | test_webhook_post.py | py | 3,596 | python | en | code | 0 | github-code | 36 |
6688406212 | from langchain.chat_models import ChatOpenAI
from langchain.output_parsers import PydanticOutputParser
from langchain.prompts import ChatPromptTemplate
from pydantic import BaseModel, Field
from dotenv import load_dotenv
from typing import List
import pandas as pd
import os
# loading api key and defining vars
load_d... | oresttokovenko/gpt-anki | src/generate_flashcards.py | generate_flashcards.py | py | 2,043 | python | en | code | 9 | github-code | 36 |
8695937067 | #from compiler import to_program
#from reader import read, Literal, Expr
from rpython.config.translationoption import get_combined_translation_config
from util import STDIN, STDOUT, STDERR, read_file, write
import api
import base
import evaluator.loader
import space
import sys, os
config = get_combined_translation_conf... | cheery/pyllisp | main.py | main.py | py | 3,246 | python | en | code | 7 | github-code | 36 |
35217198422 | import requests
from urllib.request import urlopen
import urllib
from selenium import webdriver
from bs4 import BeautifulSoup
import http.client
from openpyxl import Workbook
from openpyxl import load_workbook
from openpyxl.writer.excel import ExcelWriter
from openpyxl.cell.cell import ILLEGAL_CHARACTERS_RE
import json... | Just-Doing/python-caiji | src/work/20210719/tydexoptics.py | tydexoptics.py | py | 5,791 | python | en | code | 1 | github-code | 36 |
34622506671 | import os
import zipfile
from pathlib import Path
import warnings
from shutil import rmtree
import time
import pandas as pd
import numpy as np
import SimpleITK as sitk
from tqdm import tqdm
from segmentation_metrics import compute_segmentation_scores
from survival_metrics import concordance_index
class AIcrowdEvalu... | voreille/hecktor | src/aicrowd_evaluator/evaluator.py | evaluator.py | py | 11,240 | python | en | code | 65 | github-code | 36 |
33083611476 | # ISO-8859-1
import csv
from urllib import request # -> Abre um url
def read(url):
with request.urlopen(url) as arquivo:
print('Baixando o CSV...')
dados = arquivo.read().decode('latin1')
print('Download completo!')
for linha in csv.reader(dados.splitlines()):
print('{}... | sarandrade/Python-Courses | Python 3 - Curso Completo do Básico ao Avançado/Seção 09 - Manipulação de Arquivos/106. Desafio CSV do IBGE (resp).py | 106. Desafio CSV do IBGE (resp).py | py | 453 | python | pt | code | 0 | github-code | 36 |
33279344042 | import requests, json
BaseURL = 'https://paper-api.alpaca.markets'
OrdersURL = '{}/v2/orders'.format(BaseURL)
Headers = {"APCA-API-KEY-ID": "PKU31JDVN0AYRLMI1MEQ", "APCA-API-SECRET-KEY": "LVgw3y2RuffyDAMsjDR2EfscgsokGNTsuSEn3LUb"}
def create_order(symbol, qty, side, type, time_in_force):
data = {
'symbol'... | Jacob-Kenney/JagBot | 4.Buy stocks/Buystocks.py | Buystocks.py | py | 534 | python | en | code | 1 | github-code | 36 |
16185478017 | from .channel import MessageChannel
class MessageBroker():
_wss = {}
def __init__(self, config: dict, channel: MessageChannel):
self.config = config
self.channel = channel
self.channel.add_handler(self._handle_message)
async def _handle_message(self, user_id, message):
i... | jaggerwang/sanic-in-practice | weiguan/adapter/message/broker.py | broker.py | py | 897 | python | en | code | 42 | github-code | 36 |
2317503124 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from core.loss.multi_task import MultiTaskProxy
from core.loss.segment import SemanticSegmentation
from core.loss.matting import ImageMatting
from core.loss.grad import MattingGrad, ImageGradient
class JointMattingParsingLoss(nn.Module):
def __i... | xinyunmian/matting | core/loss/joint.py | joint.py | py | 1,456 | python | en | code | 0 | github-code | 36 |
20157623405 | from collections import namedtuple
import sys
class Accumulator:
def __init__(self, input):
self.accumulator = 0
self.executed_instructions = []
self.next_instruction = 1
self.instructions = input
self.stopping_instruction = max(self.instructions.keys()) + 1
sel... | davidcolton/adventofcode | 2020/day_08/accumulator.py | accumulator.py | py | 2,828 | python | en | code | 0 | github-code | 36 |
6129429499 | import argparse
from src.gt_merger import constants
def get_parser():
parser = argparse.ArgumentParser()
parser.add_argument('--obaFile', type=str, required=True, help='Path to CSV file exported from OBA Firebase '
'Export App')
parser.a... | CUTR-at-USF/onebusaway-travel-behavior-analysis | src/gt_merger/args.py | args.py | py | 2,668 | python | en | code | 0 | github-code | 36 |
71789567783 | # Binary search algorithm built with python
from random import randint
from insertion_sort import *
# Returns position in array if found otherwise returns -1
def binary_search(arr, target):
bottom = 0
top = len(arr) - 1
while bottom <= top:
mid = (top + bottom) // 2
if arr[mid] == target:
return mid
eli... | alex-hunter3/standard-algorithms | py/binary_search.py | binary_search.py | py | 649 | python | en | code | 0 | github-code | 36 |
74477036264 | from flask import Flask
from flask import render_template, request, jsonify
from engine.inv_ind import get_inv_ind
from engine.retrieval import get_retrieved_docs
app = Flask(__name__)
@app.route('/')
def hello():
return render_template("default.html")
@app.route('/index', methods=["GET", "POST"])
de... | ashishu007/IR-Engine | main.py | main.py | py | 1,441 | python | en | code | 0 | github-code | 36 |
31748860310 | import numpy as np
from timeit import default_timer as timer
from numba import vectorize
@vectorize(['float32(float32, float32)'], target='cuda')
def gpu_pow(a, b):
return a ** b
@vectorize(['float32(float32, float32)'], target='parallel')
def cpu_para_pow(a, b):
return a ** b
def cpu_pow(a, b, c):
fo... | Purdue-Academic-Projects/AI_Final_Project | heart_rate_ai/cuda_test/cuda_tutorial.py | cuda_tutorial.py | py | 1,237 | python | en | code | 0 | github-code | 36 |
20077173649 | from django.urls import resolve
from rest_framework import status
from rest_framework.reverse import reverse
from rest_framework.test import APITestCase, APIRequestFactory
from cars.models import Car, Manufacturer
from cars.serializers import CarGetSerializer
from cars.views import CarListCreateView
factory = APIRequ... | tomasz-rzesikowski/cars_API | cars/tests/tests_views/tests_car_list_view.py | tests_car_list_view.py | py | 1,620 | python | en | code | 0 | github-code | 36 |
71002340904 | """
40. O custo ao consumidor de um carro novo é a soma do custo de fábrica, da comissão do
distribuidor, e dos impostos. A comissão e os impostos são calculados sobre o custo de fábrica,
de acordo com a tabela abaixo. Leia o custo de fábrica e escreva o custo ao consumidor.
----------------------------------------... | Kaiquenakao/Python | Estruturas Logicas e Condicionais/Exercicio40.py | Exercicio40.py | py | 1,463 | python | pt | code | 5 | github-code | 36 |
23215865575 | class TimeBlock2:
"""
Creates an object that represents the available block of time in which a court is available to play in
"""
def __init__(self, club_id, initial_time, final_time, court_name, match_duration, court_value, court_size):
self.club_id = club_id
self.initial_time = initial_time.strftime("%Y-%m... | rbilbeny/PadelOk | mysite/time_block.py | time_block.py | py | 539 | python | en | code | 0 | github-code | 36 |
75273737705 | import tkinter
import pyperclip
sirka = 500
vyska = 450
data = []
size = []
c = tkinter.Canvas(width=sirka, height=vyska)
c.pack()
def copy():
cptxt = '('
for i in range(size[1]):
cptxt += '0b' + ''.join(str(e) for e in data[i]) + ','
if i == size[1] - 1:
cptxt = c... | branislavblazek/notes | Python/projekty/char_creator.py | char_creator.py | py | 1,990 | python | en | code | 0 | github-code | 36 |
40461953299 | import os
import gspread
from oauth2client.service_account import ServiceAccountCredentials as SAC
from linebot import LineBotApi, WebhookParser
from linebot.models import MessageEvent, TextMessage, ImageSendMessage, URITemplateAction, TextSendMessage, TemplateSendMessage, ButtonsTemplate, MessageTemplateAction, Carous... | JasperLin0118/linebot | utils.py | utils.py | py | 15,459 | python | en | code | 0 | github-code | 36 |
28779713791 | """
Exercism Python track
Source: https://exercism.org/tracks/python
My solutions: https://github.com/egalli64/pythonesque/exercism
Card Games https://exercism.org/tracks/python/exercises/card-games
Functions for tracking poker hands and assorted card tasks.
"""
import unittest
from lists import *
class TestCardGa... | egalli64/pythonesque | exercism/lists_test.py | lists_test.py | py | 2,302 | python | en | code | 17 | github-code | 36 |
16644155233 | c = 100
w = [12, 9, 56, 78, 55, 23]
# 按重量从小到大排序
w.sort()
# 贪心选择策略：每次选择最轻的集装箱装上船
count = 0
for i in range(len(w)):
if c >= w[i]:
c -= w[i]
count += 1
else:
break
print(count) | AanKn/School_work | 算法设计/最优装载问题.py | 最优装载问题.py | py | 281 | python | en | code | 0 | github-code | 36 |
15293966281 | # -*- coding:utf-8 -*-
import os
import sys
import time
import math
import threading
import json
import random
import logging
from apscheduler.schedulers.background import BackgroundScheduler
sys.path.append('./lib')
import mylog
mylog.setLog('KD48Monitor', logging.WARNING)
loggerInfo = logging.getLogger('mylogger')
l... | momo-xii/KD48 | KDMonitor.py | KDMonitor.py | py | 26,545 | python | en | code | 1 | github-code | 36 |
73381842664 |
import matplotlib.pyplot as plt
import numpy as np
#IMAGEN 1
Imagen='33.jpg'
I=plt.imread(Imagen)
plt.title('Imagen original')
plt.imshow(I)
plt.show()
rgb = [0.2989, 0.5870, 0.1140]
ig = np.dot(I[...,:3], rgb)
plt.imshow(ig,cmap='gray')
plt.axis('off')
plt.savefig('b&w.png',bbox_inches='tight',pad_inches=0,dpi=1200... | BrianCobianS/Capitulo4-Python | rgb.py | rgb.py | py | 1,806 | python | es | code | 0 | github-code | 36 |
26735300247 | def pali(st):
n = len(st)
if n==1:
return True
for i in range(n//2):
if st[i] != st[-i-1]:
return False
return True
st = input()
def ans(st):
for a in range(1,len(st)-2):
if pali(st[:a]):
for b in range(a+1,len(st)):
if pali(st[a:b]) an... | arpitkushwaha/Codevita-2020-Solutions | pallindrome_2.py | pallindrome_2.py | py | 500 | python | en | code | 0 | github-code | 36 |
16079144937 | from calendar_lib.constants import TEMPLATE_FILE
from calendar_lib.calendar import three_calendars
from html.html_gen import HTMLPage
from os import remove
from os.path import exists
OUTPUT_DIR="tests/pages"
def delete_file(year) -> None:
"""
Remove file for given year if it exists, bubble exceptions to tople... | minishrink/calendargen | tests/html_test.py | html_test.py | py | 1,534 | python | en | code | 2 | github-code | 36 |
3093791396 | # You will be given a sequence of strings, each on a new line.
# Every odd line on the console is representing a resource (e.g. Gold, Silver, Copper, and so on)
# and every even – quantity. Your task is to collect the resources and print them each on a new line.
# Print the resources and their quantities in the followi... | ivn-svn/SoftUniPythonPath | Programming Fundamentals with Python/7_dictionaries/exercise/2_miner_task.py | 2_miner_task.py | py | 829 | python | en | code | 1 | github-code | 36 |
38869163941 | from pathlib import Path
import pandas as pd
from sklearn.metrics import make_scorer, accuracy_score, f1_score, roc_auc_score
from imblearn.metrics import geometric_mean_score, sensitivity_score, specificity_score
def get_slovak_data(business_area, year, postfix):
print("Loading Slovak data...")
path_bankrupt ... | kanasz/TabNet | src/base_functions.py | base_functions.py | py | 1,548 | python | en | code | 0 | github-code | 36 |
22604017166 | def perform_operation(operand1, operator, operand2):
if operator == "+":
return operand1 + operand2
elif operator == "-":
return operand1 - operand2
elif operator == "*":
return operand1 * operand2
elif operator == "/":
if operand2 != 0:
return operan... | Chiro2002/SEM_5_SE | python_and_bash/calculator.py | calculator.py | py | 1,354 | python | en | code | 1 | github-code | 36 |
6540041788 | # Задача №17. Решение в группах
# Дан список чисел. Определите, сколько в нем
# встречается различных чисел.
# Input: [1, 1, 2, 0, -1, 3, 4, 4]
# Output: 6
import random
length = int(input("Введите длину списка: "))
list = []
temp = 0
for i in range(length):
list.append(random.randint(0,10))
print(list)
# input... | ALGUL1987/Python | 3Семинар. Списки и словари/31task.py | 31task.py | py | 731 | python | ru | code | 0 | github-code | 36 |
25698014660 | import string
# YAML -> XML
f = open('Расписание.json',"r",encoding='utf-8')
f = f.readlines()
tab_count = 0
alph = list(string.ascii_letters)
tab_count = 1
last = ''
firstWord = ''
count = 0
tab_count = 0
a = []
print('<?xml version="1.0" encoding="utf-8"?>')
for i in f:
word = ''
firstWord = 'Body'
f... | Sinchi1/-Computer-Science | 4 лаба/Parser1.py | Parser1.py | py | 1,705 | python | en | code | 0 | github-code | 36 |
33148392054 | import turtle
import random
screen = turtle.Screen()
bob = turtle.Turtle()
screen.bgcolor("black")
bob.pencolor("cyan")
bob.speed(10000)
def crazy(var1):
for i in range(360):
bob.forward(i)
bob.left(var1)
crazy(555)
# Range = 360
# Crazy = 34
# Crazy = 50
#speed = 100
#crazy = 34
... | Sush4fc/Turtle-Module | Universal Pattern Creator.py | Universal Pattern Creator.py | py | 362 | python | en | code | 1 | github-code | 36 |
10441407969 | import xlwt
import csv
import requests
import pprint
class GitClient(object):
def __init__(self):
self.base_url = 'https://api.github.com/'
self.userName = ''
self.password = ''
self.autorization = False
self.notAut = ''
self.exporter = []
self.toWrite = {}
... | Delight116/003-004-be-addo-Cmd_and_Html_GitClient | GitClient.py | GitClient.py | py | 6,608 | python | en | code | 0 | github-code | 36 |
13549248356 | import random
import Crypto
from Crypto.PublicKey import RSA
from Crypto import Random
import ast
import pyDes
from Crypto.Cipher import DES
from config import max_input_bit_length
import time
def OT_transfer(m0,m1,bit):
m0=int(m0)
m1=int(m1)
x0=random.randint(0, 2**1024-1)
x1=random.randint(0, 2**1024-1)
#loadi... | makeapp007/cryptography | mpc/code/nbit-comparator/ot.py | ot.py | py | 2,974 | python | en | code | 0 | github-code | 36 |
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