seq_id string | text string | repo_name string | sub_path string | file_name string | file_ext string | file_size_in_byte int64 | program_lang string | lang string | doc_type string | stars int64 | dataset string | pt string | api list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3781330657 | from decimal import Decimal
import click
from PyNFSe.cli import constants
from PyNFSe.utils.entidades import Servico
def servico():
servico = Servico()
servico.valor_servico = Decimal(click.prompt('Valor serviço'))
servico.iss_retido = int(click.prompt('ISS Retido (1 - Sim / 2 - Não)', type=click.Choice... | orlandosaraivajr/PyNFSe | PyNFSe/cli/cadastro/servico.py | servico.py | py | 974 | python | pt | code | null | github-code | 18 | [
{
"api_name": "PyNFSe.utils.entidades.Servico",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "click.prompt",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "click.pro... |
70771559079 | # Standard packages
import logging
from enum import Enum
import time
from datetime import datetime, timedelta
import asyncio
import os
import tqdm
# External packages
from django.core.management.base import BaseCommand, CommandError
from twilio.rest import Client
# Internal Packages
from flint.db.models import KhojUs... | khoj-ai/flint | src/flint/db/management/commands/notify_users.py | notify_users.py | py | 3,669 | python | en | code | 18 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.getenv",
... |
29681831489 | # -*- coding: utf-8 -*-
import pymysql
import uuid
import re
from common.getDataDef import get_data
from bs4 import BeautifulSoup
# 新建连接
db = pymysql.connect(host="192.168.5.210",user="root",password="root",db="law",charset='utf8')
cursor = db.cursor()
count=0
# 获取数据
for x in range(59,67):
url='http... | Whitasnow/getLawData | law/flsp/legalVideo_zgfgpxw.py | legalVideo_zgfgpxw.py | py | 1,828 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pymysql.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "common.getDataDef.get_data",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "common.ge... |
71923574440 | '''
Author: lexcalibur
Date: 2021-12-14 15:37:06
LastEditors: lexcaliburr
LastEditTime: 2021-12-14 16:15:16
'''
import torch
import torch.nn as nn
from torch.onnx import register_custom_op_symbolic
from torch.onnx.symbolic_helper import parse_args
torch.ops.load_library("/home/lishiqi/myrepos/MyCodeRepo/trt_deploy_dem... | LexcaliburR/MyCodeRepo | trt_deploy_demo/model/customed_op/cpp_op.py | cpp_op.py | py | 1,596 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.ops.load_library",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.ops",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Linear",... |
4352272394 |
import torch
from utilsmetric import psnr_loss, ssim, sam
eps = torch.finfo(torch.float32).eps
def get_metrics_reduced(img1, img2):
# input: img1 {the pan-sharpened image}, img2 {the ground-truth image}
# return: (larger better) psnr, ssim, scc, (smaller better) sam, ergas
m1 = psnr_loss(img1, img2, 1.)
... | manman1995/Awaresome-pansharpening | py-tra/metricsutil.py | metricsutil.py | py | 1,614 | python | en | code | 46 | github-code | 18 | [
{
"api_name": "torch.finfo",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "utilsmetric.psnr_loss",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "utilsmetric.ssim",... |
72950129320 | """
You are given a 0-indexed integer array nums and an integer threshold.
Find the length of the longest subarray of nums starting at index l
and ending at index r (0 <= l <= r < nums.length) that satisfies the following conditions:
nums[l] % 2 == 0
For all indices i in the range [l, r - 1], nums[i] % 2 != n... | manumafe98/Grind75 | Python/Leetcode/longest_even_odd_subarray_with_threshold.py | longest_even_odd_subarray_with_threshold.py | py | 3,115 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 47,
"usage_type": "name"
}
] |
72166379239 | """
A wrapper to allow the use of oversampling algorithms for data augmentation
in Active Learning experiments with multiple datasets.
"""
import warnings
from collections import Counter, OrderedDict
import numpy as np
from sklearn.base import clone
from sklearn.neighbors import NearestNeighbors
from imblearn.over_samp... | joaopfonseca/ml-research | mlresearch/data_augmentation/_oversampling_augmentation.py | _oversampling_augmentation.py | py | 9,301 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "sklearn.neighbors.NearestNeighbors",
"line_number": 19,
"usage_type": "argument"
},
{
"api_name": "sklearn.base.clone",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.base.clone",
"line_number": 23,
"usage_type": "call"
},
{
"api_... |
10170882203 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@author: zparteka
"""
import numpy as np
# from chiapet_operations.chiapet_given_region import read_region
from math import ceil
from os import path
from glob import glob
from scripts.config import hg19_chromosomes_dict as chromosomes_hg19
from scripts.config import hg... | Zojka/juice2topdom | scripts/matrix_parsing_operations.py | matrix_parsing_operations.py | py | 5,950 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scripts.config.hg19_chromosomes_dict",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "scripts.config.hg38_chromosomes_dict",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "scripts.config.mm10_chromosomes_dict",
"line_number": 25,
"usag... |
2465944869 | import streamlit as st
from sklearn.preprocessing import MinMaxScaler
import pickle
import numpy as np
st.title("Employee Promotion Project")
st.info("Select values for each of the following features")
dept = st.selectbox("Department",('Sales & Marketing','Operations','Technology','Procurement','Analytics',
... | divyeshjpatel/Project-P151-Employee-Promotion | P151_deploy.py | P151_deploy.py | py | 2,859 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "streamlit.title",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "streamlit.info",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streamlit.selectbox",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "streamlit.selectbox"... |
71704322599 |
'''导入类'''
# 导入多个类
from Chapter9_Class import Car, ElectricCar
# from Chapter9_Class import ElectricCar
my_new_car = Car('audi', 'a4', 2016)
print(my_new_car.get_descriptive_name())
my_new_car.odometer_reading = 23
my_new_car.read_odometer()
my_tesla = ElectricCar('tesla', 'model s', 2016)
print(my_tesla.describe_... | TonyShng/PyPractice | my_car.py | my_car.py | py | 1,030 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "Chapter9_Class.Car",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "Chapter9_Class.ElectricCar",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "Chapter9_Class.Car",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "colle... |
7608132726 | #!/bin/env python
# -*- coding: utf-8 -*-
"""\
Summary:: An =ICM=: a small example in traditional python style -- Not COMEEGA.
"""
from unisos import icm
import collections
G = icm.IcmGlobalContext()
def g_paramsExtraSpecify(
parser,
):
"""Module Specific Command Line Parameters.
g_argsExtraSpecify is pa... | bisos/bpip1 | bin/icmEx-miniCustomary.py | icmEx-miniCustomary.py | py | 3,374 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "unisos.icm.IcmGlobalContext",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "unisos.icm",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "unisos.icm.ICM_ParamDict",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "uniso... |
18316794170 | # This is a sample Python script.
# Press Shift+F10 to execute it or replace it with your code.
# Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings.
import numpy as np
import torch
import torch.nn as nn
import time
from torch.optim.lr_scheduler import *
from torch.utils.... | zrya1/zry | main.py | main.py | py | 2,680 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.device",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "numpy.load",
... |
39034052445 | #!/usr/bin/env python3
"""Parse raw CESAR output for one query, get codon table."""
import argparse
import sys
from copy import deepcopy
from version import __version__
try: # for robustness
from modules.common import eprint
from modules.common import die
except ImportError:
from common import eprint
... | hillerlab/TOGA | modules/parse_cesar_output.py | parse_cesar_output.py | py | 10,050 | python | en | code | 114 | github-code | 18 | [
{
"api_name": "common.eprint",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 124,
"usage_type": "call"
},
{
"api_name": "common.eprint",
"line_... |
2697365665 | import numpy as np
import time
from backend import step, count_mean
import pygame
from pygame.draw import rect
import matplotlib.pyplot as plt
from tqdm.autonotebook import tqdm
N = 50
dx = 1
g = 1
h = 1
dt = 0.005
n_eff = 2
block_size = 10
FPS = 1000
WHT = (255, 255, 255)
B = np.array([0, 0, 1])
S1 = np.repeat(np.arr... | OksanichenkoFedor/SpinSimulation | simulation.py | simulation.py | py | 2,961 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.repeat",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.repeat",
"line_number"... |
36706664348 | """
Description:
Author: John Holl
Github: https://github.com/hzylyh
Date: 2022-03-19 13:42:16
LastEditors: John Holl
LastEditTime: 2022-03-19 15:24:12
"""
import logging
import os
from constant.constant import *
po_manager = {}
def load_project():
dir = APP['project']['path'] + PO_SUFFIX
files = os.listdir(... | hzylyh/webUIAT | core/po_handler.py | po_handler.py | py | 787 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 22,
"usage_type": "call"
}
] |
32616427885 | """Emulate hardware connected to the ATmega4809 microprocessor
Usage:
# Initialize sensor
device = robot.getDevice('TETP4400')
device.enable(TIME_STEP)
# Initialize circuit and inputs
circuit = PhototransistorCircuit(device)
analogue_input = ADCInput(lambda: circuit.voltage())
digital_input = DigitalInput(lambda: c... | antroseco/idp | IDP_simulation/controllers/Robot_controller/hardware.py | hardware.py | py | 4,026 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "typing.Callable",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "typing.Callable",
"line_number": 74,
"usage_type": "name"
},
{
"api_name": "controller.LightSensor... |
24930963309 | from django.core.management.base import BaseCommand, CommandError
from main.scrapingSpells import lecturaSpells
from main.models import Spell,Class,Subclass,Race
from django.contrib.auth.models import User
import re
class Command(BaseCommand):
help = 'Persistent dictionaries from DB'
def handle(self,... | que-si-que-yo-acabo-este-ano/AII | Django_DnD/main/management/commands/populate.py | populate.py | py | 2,536 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.create_superuser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"li... |
13295395215 | import json
from matplotlib import pyplot as plt
import numpy as np
import seaborn
from Modules import functions as f
import CoolProp.CoolProp as cp
"""
This program makes plots of the efficiency vs reheat final temperature.
Steps:
1. Read in the json files
2. Plot the json files
3. Maybe, run some of the ... | sethjdana/NEUP_USU_SandBox | Reheat/NEUP_Python/Aiden's Thermo2 Project/PlotMaker.py | PlotMaker.py | py | 4,434 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 42,
... |
13707731935 | ##################################
#encoding=utf8 #
#version =py27, py33 #
#author =sanhe #
#date =2014-10-29 #
# #
# (\ (\ #
# ( -.-)o I am a Rabbit! #
# o_(")(") #
# ... | yangmingming/HSH-toolbox-backup | HSH/DBA/sqlscripts.py | sqlscripts.py | py | 3,269 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "prettytable.from_db_cursor",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "HSH.DBA.hsh_sqlite3.iterC",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "... |
31631667403 | # -*- coding: utf-8 -*-
""" Minor Project -
Our main objective in this project is to develop a Machine Learning model that
will be predicting the cost of the food served by the restaurants across
different cities in India and to investigate the factors that really affect
the cost.
Size of training set: 12,690 reco... | piyush546/Machine-Learning-Bootcamp | Projects/Minor Project/Participants_Data_Final/main.py | main.py | py | 1,796 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pandas.read_excel",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.FeatureHasher",
"line_number": 54,
"usage_type": "call"
},
{
"api_... |
74597280998 | # -*- coding: utf-8 -*-
# @Time : 2019/12/2 19:21
# @Email : 986798607@qq.com
# @Software: PyCharm
# @License: BSD 3-Clause
import numpy as np
from numpy.linalg import matrix_rank
from sklearn.utils import check_array
from featurebox.combination.dim import Dim
def dimension_check(x, y=None):
if y is not No... | ghayth82/featurebox | featurebox/combination/dimanalysis.py | dimanalysis.py | py | 684 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.utils.check_array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.linalg... |
29095484120 | import logging
import os
from utils.logger import create_loggers_helper
def create_logger():
_logger = logging.getLogger(__name__)
_logger.setLevel(logging.DEBUG)
return create_loggers_helper(_logger)
logger = create_logger()
def serialization_object_decorate(
serialize_function, deserialize_f... | dykra/railwayPath | parcels_valuation/src/utils/serialization_module.py | serialization_module.py | py | 862 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "utils.logger.create_loggers_helper",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "... |
69960770922 | from flask import Flask, render_template, jsonify, abort, make_response
from flask import request, send_file
from model import get_qcow_files, get_total_qcow, get_file
from util import load_properties_file
""" main application layer and web routes """
APP = Flask(__name__)
IMGSRV_PROP = load_properties_file()
@APP.... | rhpit/paws-imgsrv | imgsrv/app.py | app.py | py | 5,715 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "util.load_properties_file",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "model.get_total_qcow",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.render... |
30584891467 | #!/usr/bin/env python3
import argparse
from help_functions import *
from sub_orgs import *
from sub_occs import *
from sub_arts import *
from qwikidata.json_dump import WikidataJsonDump
import sys
import time
"""
GENERAL
Hľadané atribúty: id [ID]: samotny item
type [Type]: P2308 (trieda = qualif... | Figliar/entity_kb_czech9 | ent_parser.py | ent_parser.py | py | 7,141 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "qwikidata.json_dump.WikidataJsonDump",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 104,
"usage_type": "call"
},
{
"api_name"... |
70961762281 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from scipy.interpolate import CubicSpline
from scipy.signal import argrelextrema
def local_extrema(S):
local_maxima = argrelextrema(S, comparator=np.greater_equal)[0]
local_minima = argrelextrema(S, comparator=np.less_equal)[0]
return ... | Bmajor98/emd | emd_02.py | emd_02.py | py | 2,405 | python | en | code | 16 | github-code | 18 | [
{
"api_name": "scipy.signal.argrelextrema",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.greater_equal",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "scipy.signal.argrelextrema",
"line_number": 10,
"usage_type": "call"
},
{
"api_... |
13723971464 | from django.urls import path
from station import views
urlpatterns = [
path('list',views.StationView.as_view(),name='station_home'),
path('upload_file',views.model_form_upload,name='upload_file'),
path('audio_list',views.StationAudioView.as_view(),name='station_audio_home'),
path('upload_audio_list',v... | freto85/superCEnv | superC/station/urls.py | urls.py | py | 378 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "station.views.StationView.as_view",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "station.views.StationView",
"line_number": 6,
"usage_type": "attribute"
},
{
"ap... |
39586521780 | import numpy as np
from scipy.io import savemat
import scipy.io
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
from Neural_Decoding.decoders import KalmanFilterDecoder
def cal_cc(y,y1):
ccx = np.corrcoef(y1[:,0],y[:,0])[0,1]
ccy = np.corrcoef(y1[:,1],y[:,1])[0,1]
return (ccx+ccy)/2
def... | Smullwy/bcihomework | code/decoding_QRP.py | decoding_QRP.py | py | 5,576 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.corrcoef",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.corrcoef",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.diff",
"line_n... |
24860692443 | import logging
import time
import boto3
from botocore.config import Config
from crhelper import CfnResource
helper = CfnResource(json_logging=False, log_level="INFO", boto_level="ERROR", sleep_on_delete=0)
logger = logging.getLogger(__name__)
boto3_config = Config(retries={"max_attempts": 60})
@helper.create
@helpe... | rsips/cc_net | venv/lib/python3.7/site-packages/pcluster/resources/custom_resources/custom_resources_code/wait_for_update.py | wait_for_update.py | py | 1,338 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "crhelper.CfnResource",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "botocore.config.Config",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.i... |
40012892333 | # version 1.0
# Includes
# filtfilt
# smooth
# Hz
# filterhum50
import scipy as sp
from scipy import *
from scipy import signal
def lowpass(s,f,order=2,fs=1000.0):
b,a=signal.butter(order,f/fs)
return signal.lfilter(b,a,s)
def highpass(s,f,order=2,fs=1000.0):
b,a=signal.butter(order,f/fs,btype='highpa... | novabiosignals/BSAP-Presentation | createFigures/tools.py | tools.py | py | 6,320 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "scipy.signal.butter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scipy.signal",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "scipy.signal.lfilter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "scipy.signal",
... |
26561958807 | import numpy as np
import pytest
from pytest import approx
from desdeov2.solver.ASF import (
ASFError,
AugmentedGuessASF,
MaxOfTwoASF,
PointMethodASF,
ReferencePointASF,
SimpleASF,
StomASF,
)
def test_simple_init():
weights_1 = np.array([1, 2, 3])
simple_asf = SimpleASF(weights_1)... | gialmisi/DESDEOv2 | tests/solver/test_asf.py | test_asf.py | py | 4,505 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "desdeov2.solver.ASF.SimpleASF",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.all",
... |
40254505345 | #coding=utf8
'''
Created on Feb 14, 2016
@author: myue
'''
import os
from logging import config
DEBUG = True
LOG_PATH = os.getcwd()
LOGGING = {
'version': 1,
'disable_existing_loggers': False,
'formatters': {
'simple': {
'format': '%(levelname)s %(asctime)s %(process)d %(message)s'
... | RominYue/SearchEngineDemo | common/logConf.py | logConf.py | py | 1,389 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.getcwd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.config.dictConfig",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "logging.config",
"line_number": 59,
"usage_type": "name"
}
] |
25748430098 | import cadquery as cq
from math import sin, cos, pi
def makeLeg(
r_up: float = 80,
r_down: float = 120,
h: float = 350,
k: float = 3, # k-parabola form
) -> cq.Workplane:
sweep = (
cq.Workplane()
.parametricCurve(
#lambda x: (x,0,-h*si... | Opezdol/stool4ik | leg.py | leg.py | py | 1,303 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cadquery.Workplane",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cadquery.Workplane",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cadquery.Workplane",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cadquery.Wor... |
7464893011 | import mxnet as mx
import numpy as np
from mxnet import gluon
from mxnet.gluon import data as gdata, loss as gloss, nn
from mxnet.gluon import nn, Block, HybridBlock, Parameter
import mxnet.ndarray as F
import utilities
import os
class LossNet(Block):
def __init__(self, vgg, content_weight, style_weight, batch_si... | xuganyu96/VAE-GAN-learnable-loss | models/LossNetwork.py | LossNetwork.py | py | 4,695 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "mxnet.gluon.Block",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "mxnet.gluon.loss.L2Loss",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mxnet.gluon.loss",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "mxnet... |
12585711514 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 19 15:56:56 2020
@author: frederik
"""
import cv2
import numpy as np
img = cv2.imread("references/spatula.jpg", cv2.IMREAD_GRAYSCALE)
sift = cv2.xfeatures2d.SIFT_create()
kp = sift.detect(img, None)
img = cv2.drawKeypoints(img, kp, None)
cv2.i... | frederikjchristensen/ROB4-Perception-Miniproject | feature_detector_sift.py | feature_detector_sift.py | py | 438 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "cv2.xfeatures2d.SIFT_create",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.... |
23864230359 | #!/usr/bin/env python
import numpy as np
import krpc
import ephem_templates
import os
real_planet_names=["MERCURY","VENUS","EARTH","MARS","JUPITER","SATURN","URANUS","NEPTUNE","PLUTO"]
real_planet_NAIF_codes=[199,299,399,499,599,699,799,899,999]
base_output_dir="./ephemeris"
from collections import defaultdict
... | bryan-lunt/KSP_GMAT | ephemgen/ephemgen.py | ephemgen.py | py | 2,975 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "krpc.connect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "ephem_templates.setup_template.format",
"line_number": 51,
"usage_type": "call"
},
{
"api_na... |
34308384178 | """
给定一个包括 n 个整数的数组 nums 和 一个目标值 target。找出 nums 中的三个整数，使得它们的和与 target 最接近。返回这三个数的和。假定每组输入只存在唯一答案。
例如，给定数组 nums = [-1，2，1，-4], 和 target = 1.
与 target 最接近的三个数的和为 2. (-1 + 2 + 1 = 2).
来源：力扣（LeetCode）
链接：https://leetcode-cn.com/problems/3sum-closest
著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注明出处。
解题思路：和15题类似，先排序，后两端向中间遍历
"""
from t... | yeefea/CS-CheatSheet | python_workspace/leetcode/16_three_sum_closest.py | 16_three_sum_closest.py | py | 1,368 | python | zh | code | 2 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
}
] |
43027513368 | # Imports
import itertools as it
import os
import random
from collections import deque
from time import sleep, time
import numpy as np
import skimage.transform
import torch
import torch.nn as nn
import torch.optim as optim
import vizdoom as vzd
import matplotlib.pyplot as plt
from tqdm import trange
from models.legacy... | Trenza1ore/doombot | models/legacy/walker.py | walker.py | py | 7,946 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "vizdoom.scenarios_path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.is_a... |
6578508419 |
import logging
import sys
import unittest
logger = logging.getLogger()
handler = logging.StreamHandler(sys.stdout)
handler.setFormatter(
logging.Formatter(
'[%(levelname)s] %(asctime)s %(filename)s:%(lineno)d %(message)s'))
logger.addHandler(handler)
logger.setLevel(logging.INFO)
if __name__ == '__main__... | acisse01/demo | test_main.py | test_main.py | py | 1,260 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "logging.Formatte... |
46233078764 | import cv2
import numpy as np
#load 2 images
img1 = cv2.imread('egimg1.png')
img2 = cv2.imread('egimg2.png')
#mergebothimages
#add = img1 + img2
#add = cv2.add(img1,img2)#addedallpixelvaluestogether
weighted = cv2.addWeighted(img1, 0.6, img2, 0,4,0)#imposing them on one another identically
cv2.imshow('weighted',weigh... | priyanka19697/imageprocessing1 | imgartimetics.py | imgartimetics.py | py | 364 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.addWeighted",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 1... |
70489895400 | import pytest
from tests.integration.examples.utils import run_example
from zenml.client import Client
from zenml.post_execution.pipeline import get_pipeline
def test_example(request: pytest.FixtureRequest) -> None:
"""Runs the airflow_orchestration example."""
import mlflow
from mlflow.tracking import M... | zenml-io/apidocs-fork | tests/integration/examples/test_mlflow_tracking.py | test_mlflow_tracking.py | py | 2,032 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pytest.FixtureRequest",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tests.integration.examples.utils.run_example",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "zenml.post_execution.pipeline.get_pipeline",
"line_number": 23,
"u... |
27297039058 | # p.207 모듈(moudule)
# 모듈은 또다른 파이썬 파일이다!
# 모듈 - 표준 모듈(=내장 모듈), [사용자 정의 모듈], 외부 모듈(추가로 설치)
# 모듈 불러오기
'''
1) import 모듈명
2) import 모듈명 as 별명/식별자
3) from 모듈 import 함수명,변수명
※ 함수명, 변수명 <----> *
'''
# 1. 표준모듈 math 불러오기
'''import math
print(math.pi)'''
# 2. 터틀그래픽스 불러오기
'''
from turtle import *
※ 가상환경, v3.9.1 오류 [경로, tkinter, ... | seonyeonghun2/Study_Python2 | python_module.py | python_module.py | py | 1,249 | python | ko | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 34,
"usage_type": "call"
}
] |
70985163879 | # -*- coding: utf-8 -*-
from PySide6.QtCore import QObject, Slot, Signal
from PySide6.QtQml import QQmlApplicationEngine
from scihub_eva.globals.preferences import *
from scihub_eva.utils.preferences_utils import *
class UIAddSciHubURL(QObject):
show = Signal()
def __init__(self, parent):
super(UIA... | leovan/SciHubEVA | scihub_eva/ui/add_scihub_url.py | add_scihub_url.py | py | 1,155 | python | en | code | 941 | github-code | 18 | [
{
"api_name": "PySide6.QtCore.QObject",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PySide6.QtCore.Signal",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PySide6.QtQml.QQmlApplicationEngine",
"line_number": 18,
"usage_type": "call"
},
{
"... |
29278807620 | # theano_mnist_knn.py
import pandas as pd
import numpy as np
from theano import function
import theano.tensor as T
import time
# Read in data
training = pd.read_csv('MNIST_training.csv')
# training = pd.read_csv('../datasets/fashion-mnist_train.csv')
training_labels = training.iloc[:, 0]
training_data = training.drop(... | ShahZafrani/machineLearningPractice | knn/theano_mnist_knn.py | theano_mnist_knn.py | py | 2,452 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "theano.tensor.dvectors",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "theano.tensor",... |
34070859872 | from _datetime import datetime
import json
def decorator_logger(function):
def get_info(*args, **kwargs):
date = datetime.today().replace(microsecond=0)
new_function = function(*args, **kwargs)
information = f'Дата и время {date}, функция {decorator_logger.__name__}, аргументы: {args}, {kwa... | LiliyaVerchenko/decorator3 | decoretors3.1.py | decoretors3.1.py | py | 759 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "_datetime.datetime.today",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "_datetime.datetime",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "json.dump",
"line_number": 10,
"usage_type": "call"
}
] |
33121026249 | import getopt
import sys
from os import listdir
from os.path import join
import os
import random
import torch
from torch.utils import data
import glob
import numpy as np
import scipy.misc
import cv2
import warnings
warnings.filterwarnings("ignore", category=UserWarning)
class DRIVEData(data.Dataset):
'''
Fini... | subercui/hypoxia-det | data/dataset.py | dataset.py | py | 7,002 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 17,
"usage_type": "name"
},
{
"api_name":... |
36585700355 | import os
import subprocess
from parameterized import parameterized
from sflkitlib.events import event
from sflkit import instrument_config
from sflkit.config import Config
from sflkit.mapping import EventMapping
from utils import BaseTest
class EventTests(BaseTest):
def test_lines(self):
config = Confi... | uds-se/sflkit | tests/test_events.py | test_events.py | py | 14,785 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "utils.BaseTest",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sflkit.config.Config.create",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sflkit.config.Config",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.pa... |
35843631743 | from stockstats import StockDataFrame
from Models.Position import Position
import pandas, sys
class RSI_OverSold:
def __init__(self, queuesHandler, dataProvider):
self.queuesHandler = queuesHandler
self.dataProvider = dataProvider
self.__ignore_warnings()
def perform(
self,
ticker,
rsi_peri... | nmenescardi/Trader | StrategiesManager/Strategies/S01_RSI_OverSold.py | S01_RSI_OverSold.py | py | 3,016 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "stockstats.StockDataFrame.retype",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "stockstats.StockDataFrame",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "Models.Position.Position",
"line_number": 63,
"usage_type": "call"
},
{
... |
75120695401 | """Object representation of a song."""
from vocaloid.note import *
from vocaloid.phonemesParser import parse_phonemes_by_syllables as parse_phonemes
from vocaloid.phonemesParser import get_phonemes_ssml as get_ssml
from vocaloid.phonemesParser import get_phonemes
from vocaloid.syllablesParser import *
from vocaloid.uti... | hw9603/Easy-Sing | vocaloid/song.py | song.py | py | 8,477 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "vocaloid.phonemesParser.parse_phonemes_by_syllables",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "vocaloid.phonemesParser.get_phonemes",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "vocaloid.phonemesParser.get_phonemes_ssml",
"line_nu... |
10688890197 | # -*- coding: utf-8 -*-
__author__ = 'JLPlata'
from bs4 import BeautifulSoup
import requests
#ingrso la url
URL_BASE = "https://www.scoresandodds.com"
MAX_PAGES = 20
counter = 0
for i in range(1, MAX_PAGES):
# Construyo la URL
if i > 1:
url = "%spage/%d/" % (URL_BASE, i)
else:
url = URL... | quiqueast/SportOdds | carga/wagers.py | wagers.py | py | 860 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 28,
"usage_type": "call"
}
] |
35180651649 | from datetime import datetime
from subprocess import Popen, call
from threading import Thread
from time import sleep
class Alarm(Thread):
def __init__(self, alarm_t=None, active=False):
Thread.__init__(self)
self.alarm_t = alarm_t
self.active = active
self._alarm_on = False
de... | sjosund/spotify_alarm_clock | alarm.py | alarm.py | py | 1,628 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "threading.Thread",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.dat... |
2695288889 | #!/usr/bin/env python
# -*- coding: utf-8 -
from PIL import Image
import imagehash
import urllib
from io import BytesIO
import numpy as np
import time
from pathlib import Path
import logging
logging.getLogger("requests").setLevel(logging.WARNING)
log = logging.getLogger()
class Matcher:
"""
Tries to match c... | roesel/scrapknight | libs/matcher.py | matcher.py | py | 10,356 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.time",
... |
74838322280 | """
Pure subroutines of the MODL algorithm.
Author : Quentin Ferré <quentin.q.ferre@gmail.com>
"""
import time
from collections import defaultdict
import numpy as np
import pandas as pd
from sklearn.decomposition import SparseCoder
from sklearn.decomposition import MiniBatchDictionaryLearning
from pygtftk.stats... | dputhier/pygtftk | pygtftk/stats/intersect/modl/subroutines.py | subroutines.py | py | 19,709 | python | en | code | 37 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "sklearn.decomposition.MiniBatchDictionaryLearning",
"line_number": 58,
"usage_type": "call"
},
{
"api_na... |
30588584759 | ################################################################################
# Factorization algorithms
################################################################################
from math import floor, ceil
from gmpy2 import mpz,mpq,mpfr,mpc
from gmpy2 import is_square, isqrt, sqrt, log2, gcd, is_prime, next... | FACT0RN/factoring | python/lib/number_theory.py | number_theory.py | py | 6,433 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "os.environ.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_... |
41971430218 | #!/usr/bin/env python3
from math import gcd as gcd
from os import system, name
from random import randrange
from colorama import Fore, Style
'''gcd kan bepalen of twee integers co-primes zijn. Hij kijkt naar de modulo
als deze op 1 uitkomt dan is het getal door niets anders deelbaar en zijn
de twee integers dus co-pr... | rinmeister/rsa-calc | rsa-calculator.py | rsa-calculator.py | py | 2,401 | python | nl | code | 0 | github-code | 18 | [
{
"api_name": "random.randrange",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "math.gcd",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"li... |
33971319013 | import numpy as np
import pandas as pd
import torch
import torch.nn as nn
# import matplotlib.pyplot as plt
# Plotting
# from fast.ai notebook
def gallery(x, nc=3):
n,h,w,c = x.shape
nr = n//nc
assert n == nr*nc
return (x.reshape(nr, nc, h, w, c)
.swapaxes(1,2)
.reshape(h*n... | jher123/Animal-Art-GAN-experiments | utils/utils.py | utils.py | py | 1,313 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.nn.init.normal_",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.nn.init",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "torch.nn.init.norma... |
72425841959 | import json, os
import numpy as np
import torch
from PIL import Image, ImageDraw
import matplotlib.pyplot as plt
from torch.utils.data import Dataset
from glob import glob
import torchvision.transforms as T
def read_mask(label_path):
label_data = json.load(open(label_path))
segs = label_data["shapes"][0]["poin... | saprrow/ForceMap | data/data_cls.py | data_cls.py | py | 2,124 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.fromarray",
"lin... |
72497988839 | import os, json
from django.shortcuts import render, redirect
from django.urls import reverse
from django.views import View
from braintree import Subscription
from braintree.error_result import ErrorResult
from app_auth import models as AuthModels
from app_auth import mixins as AuthMixins
from payments import models as... | phillipmugisa/wapp | django/code/payments/views.py | views.py | py | 9,470 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.views.View",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "d... |
17565762138 | # Stdlib imports
import pytest
# Core Django imports
from django.core.management import call_command
# Third-party app imports
from faker import Faker
# Imports from my app
from src.domains.models import Domain
from src.domains.tests.factories import DomainFactory
from src.margins.models import Margin
from src.margi... | julienpaul/django-weathervis | src/conftest.py | conftest.py | py | 3,779 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.core.management.call_command",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "src... |
3854651984 | import os
import sys
import time
import getopt
import shutil
import tempfile
from .src import parser
from .src import proxy
from .src import generator
from .src import env_clear
from .src import process
from .src import env_parser, env_inspect
from .utils import log, utils
from .utils.log import priorinit_logger
from ... | libvirt/libvirt-test-API | libvirttestapi/main.py | main.py | py | 15,368 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "time.strftime",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_num... |
22759450224 | import numpy as np
import matplotlib.pyplot as plt
from numpy import pi
from scipy import interpolate,integrate
from tqdm import tqdm
class spectrum:
def __init__(self, KT = [0.05, 2000], \
U10 = 5, x = 20170, spectrum_type = 'Karaev'):
# ускорение свободного падения.
self.g = 9.... | KirillPonur/water | water.py | water.py | py | 19,542 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.logspace",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.log10",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "scipy.integrate.quad",
"li... |
16006253476 | from flask import jsonify
def book_serializer(bookinfo):
book_list = []
for book in bookinfo:
booktest_dict = {
'book_title': book.book_title,
'content_validity': book.content_validity,
'author': book.author,
'author_introduction': book.author_introducti... | Diuyilu/Book-Recommendation-System | backend/book/serializers.py | serializers.py | py | 1,497 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "flask.jsonify",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 44,
"usage_type": "call"
}
] |
6203479287 | from collections import defaultdict
from queue import *
from math import floor, ceil
import matplotlib.pyplot as plt
import random
from itertools import cycle
import subprocess
import re
netlistFilePath = 'netlist.txt'
placementFilePath = 'cell_locs_pre_leg.txt'
defFile = 'cts.def'
verilogFile = 'place.v'
n... | The-OpenROAD-Project/TritonCTS | src/scripts/remove_dummies.py | remove_dummies.py | py | 7,014 | python | en | code | 33 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 17,
"usage_type": "call"
},
{
"api_name"... |
18388025282 | """musiclearn_cli.py
Command line interface for the musiclearn project.
Authors: Alex Kyllo and Jack Phan
"""
import logging
import os
import random
from pathlib import Path
import click
import numpy as np
from tensorflow.random import set_seed
from musiclearn import (plotting, processing, sequential_models,
... | jackPhn/CSS586_Project | musiclearn_cli.py | musiclearn_cli.py | py | 7,762 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.DEBU... |
71426851560 | import numpy as np
import pandas as pd
pd.set_option('display.float_format', lambda x: '%.3f' % x)
import matplotlib.pyplot as plt
import seaborn as sns
from subprocess import check_output
print(check_output(['ls', '../input']).decode('utf8'))
import glob, re
dfs = {re.search('/([^/\.]*)\.csv', fn).group(1):
pd... | aorursy/new-nb-3 | gobrando_instacart-eda.py | gobrando_instacart-eda.py | py | 8,031 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.set_option",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
5747755631 | import cv2
import subprocess as sp
rtspUrl = 'rtsp://11.73.12.184:554/test1' #这里改成本地ip，端口号不变，文件夹自定义
rtmpUrl = 'rtmp://8.136.105.93:10035/app/test'
# 视频来源 地址需要替换自己的可识别文件地址
sourceUrl='rtsp://admin:hk123456@11.73.12.20'
camera = cv2.VideoCapture(sourceUrl) # 从文件读取视频
# 视频属性
size = (int(camera.get(cv2.CAP_PROP_FRAME_WIDTH... | sophon-ai-algo/examples | other/py_demo_push_rtsp/test_push_rtsp.py | test_push_rtsp.py | py | 2,506 | python | zh | code | 91 | github-code | 18 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_FRAME_WIDTH",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.CAP_PROP_FRAME_HEIGHT",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_... |
3953197444 | import itertools
from absl.testing import parameterized
import numpy as np
from tensorflow.compiler.tests import xla_test
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import linalg_ops
from tensorflow.python.platform import test
class SelfAdjointEigOpTest(xla_test.XLATestCase, parameterize... | tensorflow/tensorflow | tensorflow/compiler/tests/self_adjoint_eig_op_test.py | self_adjoint_eig_op_test.py | py | 1,345 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "tensorflow.compiler.tests.xla_test.XLATestCase",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.compiler.tests.xla_test",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "absl.testing.parameterized.TestCase",
"line_number": 1... |
73027237480 | from unified.core.app import App
from emails.gmail.actions import GmailActions
from emails.gmail.apis import GmailApi
from emails.gmail.triggers import GmailTriggers
class GmailApp(App, GmailActions, GmailApi, GmailTriggers):
def __init__(self):
super().__init__(
name="Gmail",
desc... | dipendrabaidawa/unified_api | unified/modules/main/categories/emails/gmail/app.py | app.py | py | 532 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "unified.core.app.App",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "emails.gmail.actions.GmailActions",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "emails.gmail.apis.GmailApi",
"line_number": 6,
"usage_type": "name"
},
{
"ap... |
27353889427 | import asyncio
import logging
from pupil_labs.realtime_api import Device, StatusUpdateNotifier, receive_gaze_data
from pupil_labs.realtime_api.models import Event, Sensor
from pupil_labs.invisible_lsl_relay import outlets
logger = logging.getLogger(__name__)
class Relay:
def __init__(self, selected_device):
... | GazeIntelligence/GazeReplay | pupil_invisible/invisible_lsl_relay/relay.py | relay.py | py | 5,761 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pupil_labs.invisible_lsl_relay.outlets.PupilInvisibleGazeOutlet",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pupil_labs.invisible_lsl_relay.outlets",
"line_number": 16,
... |
14210202509 | from typing import List, Tuple
# Approach 1 - Simpler
def separateEvenOdd(inputList: List) -> Tuple:
even = []
odd = []
for element in inputList:
if element % 2 == 0:
even.append(element)
else:
odd.append(element)
return even, odd
# Approach 2 - List Comprehen... | kmanadkat/leetcode-101 | 01 List/Problems/02_separate_even_odd.py | 02_separate_even_odd.py | py | 693 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": ... |
39261053306 | import os
import re
import requests
import sys
IMAGE_SOURCE = sys.argv[1]
IMAGE_DESTINATION = sys.argv[2]
TOKEN = os.environ['REGISTRY_AUTH']
HEADERS = {
'Accept': 'application/vnd.docker.distribution.manifest.v2+json',
'Authorization': 'Basic ' + TOKEN,
}
def extract_image_name(image_name):
result = re.... | buddyreview/remote-tag | remote_tag.py | remote_tag.py | py | 1,242 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "re.match",
"line_number"... |
12257270489 | #DATA E HORA
from datetime import date, time, datetime
def trabalhando_com_date():
data_atual = date.today()
print(data_atual.strftime('%d/%m/%Y'))
#DIA MÊS E ANO
from datetime import date
data_atual = date.today()
print(data_atual.strftime('%A %B %Y'))
def trabalhando_com_time():
horari... | Nathalia11/Estudos_Python | aula9.py | aula9.py | py | 944 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "datetime.date.today",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "datetime.date.today",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.date",
... |
29540687270 | import numpy as np
import keras
import time
from keras.callbacks import Callback
class EarlyStoppingAtMinLoss(keras.callbacks.Callback):
"""Stop training when the loss is at its min, i.e. the loss stops decreasing.
Arguments:
patience: Number of epochs to wait after min has been hit. After this
num... | ArabelaTso/DeepFD | CodeBook/Callbacks/EarlyStoppingAtMinLoss.py | EarlyStoppingAtMinLoss.py | py | 2,058 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "keras.callbacks",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.Inf",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.less",
"line_n... |
16600797440 | from django.shortcuts import render,redirect
from django.views.decorators.csrf import csrf_exempt
from django.http import HttpResponse
import cx_Oracle as oci
from django.db import connection
from . import models
from base64 import b64encode
import bcrypt
import json
model = models.Database()
func = models.Func()
@cs... | gobu82/RIP | rest/views.py | views.py | py | 3,377 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.views.decorators.csrf.csrf_exempt",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 21,
"usage_type": "call"
},... |
28873056094 | from django.core.management.base import BaseCommand
from django.db.models import Count
from mesads.app.models import ADS
class Command(BaseCommand):
def handle(self, **opts):
handled = {}
q = (
ADS.objects.filter(used_by_owner=True)
.annotate(count=Count("adsuser"))
... | mesadsfr/mesads | mesads/app/management/commands/fix_ads_user_and_used_by_owner.py | fix_ads_user_and_used_by_owner.py | py | 1,716 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "mesads.app.models.ADS.objects.filter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mesads.app.models.ADS.objects",
"line_number": 11,
"usage_typ... |
2246171788 | from openpyxl import Workbook
wb = Workbook()
ws = wb.active
head=["reqkeyrate","SR1","SR2","finishtime1","finishtime2"]
ws.append(head)
ns=[0]*10
for i in range(10):
ns[i]=i
for j in range(10):
ws.append([ns[j],ns[9-j],ns[j],ns[9-j],ns[j],ns[9-j]])
ws.append(['a','b','c','d'])
ws.append([1,2,3,4])
ws.append... | Mikewanng/request-based-routing | alg/test.py | test.py | py | 350 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "openpyxl.Workbook",
"line_number": 3,
"usage_type": "call"
}
] |
72213301161 | import os
import sys
sys.stdout.flush()
import pprint
from datetime import datetime, date, time
from multiprocessing import Process, Queue, Pool
from functools import partial
from poloniex import Poloniex
from relativetime import RelativeTime
from mktdbinfo import MktDBInfo
def Chunks(l, n):
#Yield successive n-... | Yun-Hsuan/ScrapeCoinMarket | coin_market_data_base/poloniex_db.py | poloniex_db.py | py | 12,026 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.stdout.flush",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "mktdbinfo.MktDBInfo",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "relativetime.Relat... |
5193058892 | import os
from datetime import datetime
from collections import deque
from binance.client import Client
import argparse
import alpha_collection
from utils import *
from decimal import Decimal
import time
import csv
from const import *
def get_current_futures_position(symbols):
account_info = client.futures_accou... | Mingyu-Kim-001/coin_trading | run_trading.py | run_trading.py | py | 14,600 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "decimal.Decimal",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
17694868692 | # -*- coding: utf-8 -*-
import datetime
import logging
from turtle import color
import streamlit as st
import streamlit.components.v1 as components
from src.utils.dataio import get_data, create_transaction
from src.utils.minter import *
from src.utils.pinata import pin_image
from web3 import Web3
from dotenv import loa... | Saving-the-world-org/save_the_world | pages/02_Donate.py | 02_Donate.py | py | 7,401 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "src.utils.dataio.get_data",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "src.utils.dataio.get_data",
"line_number": 20,
"usage_type": "call"
},
{
"api_name":... |
8864849618 | from flask import Flask
from flask import render_template, abort
from flask.ext.sqlalchemy import SQLAlchemy
from pymongo import MongoClient
from datetime import *
app=Flask(__name__)
app.config["SQLALCHEMY_DATABASE_URI"]='mysql://root@localhost/shiyanlou'
db=SQLAlchemy(app)
mongo=MongoClient('127.0.0.1',27017).shiyanl... | adaonline/pythonCourse | demo/Flask_news_with_mongodb/app.py | app.py | py | 3,215 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.ext.sqlalchemy.SQLAlchemy",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.re... |
22811652267 | from unittest import mock
import pytest
from paasng.engine.controller.cluster import RegionClusterService
pytestmark = pytest.mark.django_db
@pytest.fixture(autouse=True)
def helper(bk_app):
# Make a mocked controller client
mocked_client = mock.Mock()
mocked_client.list_region_clusters.return_value = ... | leafage-collb/bk-paas | apiserver/paasng/tests/engine/test_controller.py | test_controller.py | py | 1,942 | python | en | code | null | github-code | 18 | [
{
"api_name": "pytest.mark",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "unittest.mock.Mock",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "unittest.mock",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "paasng.engine.contro... |
27153376828 | # coding: utf-8
# Author: wanhui0729@gmail.com
from functools import lru_cache
'''
lru_cache 用于函数缓存，在连续用相同参数调用一个函数时，函数使用存储值作为返回值
接受maxsize和typed两个参数
maxsize为缓存最多maxsize个此函数的结果
typed为是否对参数类型敏感，例如设置为True时，f(3)和f(3.0)会被分别存储
'''
@lru_cache(maxsize=2)
def add(x, y):
print(f"calculating: {x} + {y}")
return x+y
if... | wan-h/Brainpower | Code/language/Python/grammer/functools/lru_cache_example.py | lru_cache_example.py | py | 759 | python | zh | code | 1 | github-code | 18 | [
{
"api_name": "functools.lru_cache",
"line_number": 13,
"usage_type": "call"
}
] |
32423062613 | from enum import Enum
# noinspection PyArgumentList
TYPE = Enum('TYPE', 'stimulus measurement scan_config analysis emka', module=__name__)
FILE_TYPES = {
TYPE.stimulus: ('.mat', [('matlab', '.mat'), ('json', '.json'), ('python', '.pkl')]),
TYPE.measurement: ('.csv', [('table', '.csv'), ('matlab', '.mat'), ('p... | Palpatineli/uifunc | uifunc/common_file_types.py | common_file_types.py | py | 568 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "enum.Enum",
"line_number": 4,
"usage_type": "call"
}
] |
11929351420 | import tornado.ioloop
import tornado.web
from tornado import gen
from time import sleep
from datetime import datetime
from tornado.ioloop import IOLoop, PeriodicCallback
loop = IOLoop.current()
class MainHandler(tornado.web.RequestHandler):
async def get(self):
await gen.sleep(1)
self.write('Hello... | devruji/test_concurrent_flask_vs_tornado | run_tornado_periodic_callback.py | run_tornado_periodic_callback.py | py | 623 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tornado.ioloop.IOLoop.current",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tornado.ioloop.IOLoop",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "tornado.ioloop.web",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_nam... |
71427520680 | # This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/... | aorursy/new-nb-3 | jarvispandey_bert-implementation.py | jarvispandey_bert-implementation.py | py | 7,262 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.walk",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number"... |
40417400983 | import typing
import weakref
from collections import defaultdict
class BaseClass:
__refs = defaultdict(list)
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.__refs[self.__class__].append(self)
@classmethod
def instances(cls) -> typing.List:
for in... | soar/github-team-organizer | github_team_organizer/classes/base.py | base.py | py | 802 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "collections.defaultdict",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "weakr... |
42608976364 | import os
import glob
import polars as pl
import pandas as pd
import config
from utils import set_display_options, describe_numeric
from etl import load_data
set_display_options()
asofdate = '2022-12-01'
asofdate_fcst = '2023-01-01'
id_fcst = 'best_public'
# id_fcst = 'ens-naive_ema_theta-20220701-active-wavg-test-... | nicolaivicol/gd-mbiz-dens-fcst | tsfcst/get_rates_submission.py | get_rates_submission.py | py | 5,286 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "utils.set_display_options",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "config.DIR_ARTIFACTS",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "etl.load_data",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pol... |
14742701369 | from flask import jsonify, request, g
from app import app, db, auth
from app.group import group
from app.group.model import Group
from app.group import mapper as group_mapper
from app import views as common_views
import constants
@group.route("/", methods = ["POST"])
@auth.login_required
def add_group():
if not re... | rishabh8866/python-bh | app/group/views.py | views.py | py | 3,928 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.request.json",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "app.views.bad_request",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "app.views... |
10760116114 | from __future__ import annotations
from typing import Callable, List, Dict
from ndspy.rom import NintendoDSRom
from range_typed_integers import u16_checked, u32_checked
from skytemple_files.common.i18n_util import _, f
from skytemple_files.common.ppmdu_config.data import (
GAME_REGION_EU,
GAME_REGION_JP,
... | SkyTemple/skytemple-files | skytemple_files/patch/handler/change_evo.py | change_evo.py | py | 9,830 | python | en | code | 16 | github-code | 18 | [
{
"api_name": "typing.Dict",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 53,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 70,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": ... |
17996396345 | """
Python script to scrape books from `Project Gutenberg` eBook library
website: https://www.gutenberg.org/
"""
# =====================================================================
# Import
# =====================================================================
# import internal modules
import re
import requests
... | DerrickDDInAI/nlp-text-summarizer | app/scrape.py | scrape.py | py | 4,279 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "re.findall",
"lin... |
4820009522 | """
840. Magic Squares In Grid
A 3 x 3 magic square is a 3 x 3 grid filled with distinct numbers from 1 to 9 such that each row, and both diagonals all have the same sum.
Given a row x col grid of integers, how many 3 x 3 "magic square" subgrids are there? (Each subgrid is contiguous).
Example1:
Input: grid = [
[... | tkwang0530/LeetCode | 0840.py | 0840.py | py | 3,311 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 72,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 89,
"usage_type": "attribute"
},
{
"api_name": "unittest.main",
"l... |
4885589203 | import imgaug as ia
from imgaug import augmenters as iaa
def get():
def sometimes(aug): return iaa.Sometimes(0.5, aug)
return iaa.Sequential(
[
# apply the following augmenters to most images
iaa.Fliplr(0.5), # horizontally flip 50% of all images
iaa.Flipud(0.2), ... | mukopikmin/bounding-box-augmentation | util/sequence.py | sequence.py | py | 4,702 | python | en | code | 60 | github-code | 18 | [
{
"api_name": "imgaug.augmenters.Sometimes",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "imgaug.augmenters",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "imgaug.augmenters.Sequential",
"line_number": 8,
"usage_type": "call"
},
{
"api_name"... |
35355418259 | import sys
import unittest
import soundfile
from porcupine import Porcupine
from util import *
class PorcupineTestCase(unittest.TestCase):
@staticmethod
def __append_language(s, language):
if language == 'en':
return s
return f'{s}_{language}'
@classmethod
def __pv_model... | aceta-minophen/porcupine | binding/python/test_porcupine.py | test_porcupine.py | py | 4,292 | python | en | code | null | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "porcupine.Porcupine",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "soundfile.re... |
7714576026 | # Section12-1
# 파이썬 데이터베이스 연동(SQLite)
# 테이블 생성 및 삽입
import sqlite3
import datetime
# 삽입 날짜 생성
now = datetime.datetime.now()
print('now : ', now)
nowDatetime = now.strftime('%Y-%m-%d %H:%M:%S')
print('nowDatetime : ',nowDatetime)
# sqlite3
print('sqlite3.version : ', sqlite3.version)
print('sqlite3.s... | louis-25/Python_basic | section12-1.py | section12-1.py | py | 1,996 | python | ko | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.version",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sqlit... |
36799181513 | #!/usr/bin/env python
import asyncio
import websockets
import json
import time
import sys
from mrc88_interface import Interface
from channel import Channel
class WebSocketServer:
def __init__(self, amp):
self.nextStateUpdate = time.time()
self.connections = set()
self.amp = amp
def ... | oscarbodell/mrc88Control | server/websocket_server.py | websocket_server.py | py | 3,469 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "websockets.serve",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_l... |
41155060779 | import sys
sys.path.append('C:\\Users\\Ruedi\\OneDrive\\Learning\\Learning\\World Bank')
import GUI_Plots_Pannel
import GUI_ListPannel
import WorldBank
from PyQt5.QtWidgets import QApplication, QWidget, QHBoxLayout
class WIN( QWidget ):
def __init__(self, parent = None):
super(WIN, self).__init__(parent)... | rrutz/Learning | World Bank/Main.py | Main.py | py | 905 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "WorldBank.WorldBan... |
36360181684 | # -*- coding: utf-8 -*-
import pandas as pd
import os
df = pd.read_pickle(os.path.join('..', 'data_frame.pickle'))
# Smaller object for easier vis
small_df = df.iloc[49980:50019, :].copy()
# Basic Excel
small_df.to_excel("basic.xlsx")
small_df.to_excel("no_index.xlsx", index=False)
small_df.to_excel("c... | TamilNeram/python | பன்மை பார்வை/pandas-fundamentals/demos/m5/demo.py | demo.py | py | 1,568 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "pandas.read_pickle",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pandas.ExcelWriter",
"l... |
6012650692 | from dataclasses import dataclass
def bin8(value: int):
"""
Convert 8-bit register value to binary representation.
"""
return ("0"*8 + bin(value)[2:])[-8:]
def metronome_pattern(bar_length):
return [3, 0] + [1, 0] * (bar_length - 1)
def timing_grade(time, target, margin):
error = abs(target-t... | gurhanadiguzel/METU-Ceng | CENG336/THE/THE1/starting-project/the1.X/tests/grading.py | grading.py | py | 4,684 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 19,
"usage_type": "name"
}
] |
33745057829 | import cv2
# Aquí coloca la ruta de la imagen con la cara a detectar
imagenRuta = 'imagen.jpeg'
# Cargar el modelo pre-entrenado para detección facial
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
# Cargar la imagen en la que deseas realizar el reconocimiento fac... | LeoteauG/facepay | main.py | main.py | py | 924 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.data",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line... |
28963157811 | import os
import json
from collections import namedtuple
from tile2net.tileseg.config import cfg
from runx.logx import logx
from tile2net.tileseg.datasets.base_loader import BaseLoader
from tile2net.tileseg.datasets.utils import make_dataset_folder
from tile2net.tileseg.datasets import uniform
Label = namedtuple( 'La... | VIDA-NYU/tile2net | src/tile2net/tileseg/datasets/satellite.py | satellite.py | py | 5,063 | python | en | code | 108 | github-code | 18 | [
{
"api_name": "collections.namedtuple",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tile2net.tileseg.datasets.base_loader.BaseLoader",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "tile2net.tileseg.config.cfg.DATASET",
"line_number": 74,
"usage_t... |
22289999321 | import requests
import yaml
with open('config.yaml', encoding='utf-8') as f:
data = yaml.safe_load(f)
S = requests.Session()
def test_step1(user_login, post_title):
result = S.get(url=data['address'], headers={'X-Auth-Token': user_login}, params={'owner': 'notMe'}).json()['data']
result_title = [i['titl... | SilverXuz/Python_Web_dz_1 | task_2/test1_seminar2.py | test1_seminar2.py | py | 1,269 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "yaml.safe_load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_number": 7,
"usage_type": "call"
}
] |
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