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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
20485480675 | from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
from ansible.module_utils.basic import AnsibleModule
from ansible_collections.zp4rker.basic.plugins.module_utils import calculator
def run_module():
module_args = dict(
x=dict(type='int', required=True),
operation=dict(type=... | zp4rker/ansible-basic-collection | plugins/modules/calculate.py | calculate.py | py | 1,339 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "ansible.module_utils.basic.AnsibleModule",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "ansible_collections.zp4rker.basic.plugins.module_utils.calculator.add",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "ansible_collections.zp4rker.basic.... |
2706087078 | import hashlib
import itertools
import json
import os
import time
from typing import Any, Dict, List
import googlemaps
PLACE_TYPES = [
"Gym",
"Park",
"Café",
"Supermarket",
"Restaurant",
"Vegetarian Restaurant",
"Burger Restaurant",
]
DISTRICT_NAMES = [
"Neuehrenfeld, Cologne, Germany"... | sbunzel/city-explorer | src/city_explorer/maps.py | maps.py | py | 5,926 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "googlemaps.Client",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_numb... |
10309522654 | from random import randint
from discord.ext import commands
import discord
from discord import Member
from discord.ext.commands import has_permissions, MissingPermissions
intents = discord.Intents.default()
intents.members = True
intents.messages = True #LIGNE MARCHE CHEZ MOI
#intents.message_content = True LIGNE DANS... | GregoirePichard1/Discord-Bot | src/main.py | main.py | py | 1,696 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "discord.Intents.default",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "discord.Intents",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "d... |
29378610006 | from bs4 import BeautifulSoup
import requests
req_headers = {"Accept": "*/*", "Accept-Encoding": "gzip, deflate, br",
"User-Agent": 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) '
'Chrome/71.0.3578.98 Safari/537.36 ', "Connection": "keep-alive"}
DO... | JanMird/scrapping-telegram-bot | scrape.py | scrape.py | py | 4,252 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 23,
"usage_type": "call"
}
] |
27717890086 | import argparse
import json
import os
import pickle
from pathlib import Path
import sqlite3
from tqdm import tqdm
import random
from utils.linking_process import SpiderEncoderV2Preproc
from utils.pretrained_embeddings import GloVe
from utils.datasets.spider import load_tables
# from dataset.process.preprocess_kaggle i... | BeachWang/DAIL-SQL | data_preprocess.py | data_preprocess.py | py | 2,914 | python | en | code | 90 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 20... |
73974477225 | import contextvars
import csv
import logging
from os import PathLike
from typing import Callable, Dict, Union, Optional
import xmltodict as xmltodict
from discord.ext.commands import Bot, Context
logger = logging.getLogger("bot.localization")
class LocalizationHandler(object):
default_handler = None # type: Lo... | Blaumeise03/AccountingBot | accounting_bot/localization.py | localization.py | py | 3,837 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "contextvars.ContextVar",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typ... |
30330496099 | # !/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2021/3/26 4:00 下午
# @Author : wangHua
# @File : ProductAddCrawler.py
# @Software: PyCharm
from app.crawlers.BaseAmazonCrawler import BaseAmazonCrawler
from utils import Http
from app.repositories import ProductItemRepository, ProductRepository, SiteRepository
... | whale-fall-wh/producer-consumer | app/crawlers/ProductAddCrawler.py | ProductAddCrawler.py | py | 2,295 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "app.crawlers.BaseAmazonCrawler.BaseAmazonCrawler",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "app.entities.ProductAddJobEntity",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "utils.Http",
"line_number": 24,
"usage_type": "name"
... |
5571329753 | import pandas as pd
import jieba
import warnings
import re
warnings.filterwarnings('ignore')
import json
# 第一大部分，查全率，查准率的计算
def judge(strs):
strs = strs.split(",")
l = []
for s in strs:
s = s.replace('[',"").replace(']',"").replace("'","")
l.append(int(s))
return l
def tongji(l1,l2):
... | MJ-NCEPU/HauZhongBei | DataMining.py | DataMining.py | py | 7,045 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "re.sub",
... |
5515870088 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import os
import itertools
import tensorflow as tf
import numpy as np
import cifar10_utils
import cifar10_siamese_utils
from convnet import ConvNet
from siamese import Siamese
from sklearn.mult... | frhrdr/dlc2016 | practical_3/train_model.py | train_model.py | py | 19,281 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "tensorflow.train.AdamOptimizer",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "tensorflow.train",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.set_random_seed",
"line_number": 91,
"usage_type": "call"
},
{
"a... |
71551273063 | from functions import Complexity
import os, re, csv, pickle
import seaborn as sns
import matplotlib.pyplot as plt
plt.style.use('ggplot')
import pandas as pd
from scipy import stats
import json
# Get the interactions
# Get the BDM values for each protein in each pair
# get correlation
# plot for fun
# get interactio... | alyssa-adams/bdm_proteins | lambda_ppi.py | lambda_ppi.py | py | 8,354 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name"... |
18287973881 | import numpy as np
import matplotlib.pyplot as plt
from components.tests import (
test_helium, test_helium_x, test_helium_xc, test_helium_xc_Vosko
)
from components.misc import get_n
## Command line arguments
arg_verbose = False
arg_plot = False
## r = radius in spherical coordinates
r_max = 15
r_step = 0.015
rr ... | jdbosser/DFT-Jupyter | Notebooks/heliumdft.py | heliumdft.py | py | 2,534 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.arange",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "numpy.exp",
"line_number": ... |
37752345818 | import sys
# Prevent spurious errors during `python setup.py test`, a la
# http://www.eby-sarna.com/pipermail/peak/2010-May/003357.html:
try:
import multiprocessing
except ImportError:
pass
from setuptools import setup, find_packages
extra_setup = {}
if sys.version_info >= (3,):
extra_setup['use_2to3'] ... | civiccc/verifier_date_utils | setup.py | setup.py | py | 1,161 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.version_info",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "setuptools.setup",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 23,
"usage_type": "call"
}
] |
36492860982 | #!/usr/bin/env python3
from __future__ import absolute_import, division, print_function, unicode_literals
from . import invoke_rpc_builtin, invoke_rpc_python_udf
from . import ProcessGroupAgent
from .internal_rpc_utils import serialize, PythonUDF
import sys
import torch
from enum import Enum
_agent = None
def _r... | reynoldsm88/pytorch | torch/distributed/rpc.py | rpc.py | py | 5,784 | python | en | code | null | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "sys.version_info",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "distributed_c10d._get_default_group",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "t... |
4543795483 | import logging
import requests
class Move(object):
def __init__(self, url, full_obj=None):
self.full_obj = full_obj or self.get_from_api(url)
self._name = None
self._power = 0
@property
def name(self):
if self.full_obj is None:
self.full_obj = self.get_move_fro... | yehted/pokemon | src/pokemon/moves.py | moves.py | py | 998 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.info",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 38,
"usage_type": "call"
}
] |
41669892511 | # -*- coding: utf-8 -*-
import os
import tensorflow as tf
from keras.applications.vgg16 import VGG16
from keras.applications.resnet50 import ResNet50,preprocess_input,decode_predictions
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential,Model
from keras.layers import Input,Act... | POD-azlamarhyu/Python_resnet_recognition | src/resnet2.py | resnet2.py | py | 2,806 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tensorflow.test.gpu_device_name",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tensorflow.test",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "keras.... |
37428719988 | from gl import *
from pyglet import resource
Mat4Floats = GLfloat*4
NOTEXTURES = False
class MDLdict(object):
"""Materials display lists"""
def __init__(self):
self.mat_dls = {}
self.mat_textures = {}
self.mat_trans = {}
def __del__(self):
if glDeleteLists:
for... | scavpy/Scav-Team-Pyweek-Aug-2010 | gamelib/tdgl/material.py | material.py | py | 2,940 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "pyglet.resource.file",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pyglet.resource",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "pyglet.resource.texture",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "pyglet.r... |
24968801455 | from typing import List
from collections import deque
class Solution:
def nearestExit(self, maze: List[List[str]], entrance: List[int]) -> int:
nei = [[-1, 0], [1, 0], [0, -1], [0, 1]]
dq, seen = deque(), set()
dq.append(entrance)
row, col = len(maze), len(maze[0])
steps ... | inverseTrig/leet_code | 1926_nearest_exit_from_entrance_in_maze.py | 1926_nearest_exit_from_entrance_in_maze.py | py | 1,646 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "call"
}
] |
25686410069 | import csv
import os
from keras.models import load_model
import numpy as np
import scipy.io as sio
model = load_model("models/trained_model_h5.h5")
def load_data(record_path, start_t, end_t):
data = sio.loadmat(record_path)
signal = data['ECG']['data'][0][0]
signal = signal[:, start_t:end_t]
featur... | AlexPetukhov/nnsu | GOOD/6sec/apply_model_no_delin.py | apply_model_no_delin.py | py | 3,501 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "keras.models.load_model",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scipy.io.loadmat",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "numpy.empty",
"l... |
722631652 | """
Реализовать два небольших скрипта:
а) итератор, генерирующий целые числа, начиная с указанного,
б) итератор, повторяющий элементы некоторого списка, определенного заранее.
Подсказка:
Использовать функцию count() и cycle() модуля itertools.
Обратите внимание, что создаваемый цикл не должен быть бесконечным.
Необходи... | Jaidergan/Lesson04 | lesson04/example06.py | example06.py | py | 2,775 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "itertools.count",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "itertools.cycle",
"line_number": 42,
"usage_type": "call"
}
] |
24722131243 | #-*-coding:utf-8-*-
"""
This is base modoul bank
"""
import imp
import json
import urllib2
import urllib
import os
import time
import sys
from thePath import rootPath
class BANK(object):
"""
Base class
"""
def __init__(self):
self.useragent = (
"Mozilla/5.0 (Linux; Android 6.0;"
... | WYL-BruceLong/bank_spider | superBank.py | superBank.py | py | 2,022 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.strftime",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "urllib2.Request",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "urllib2.URLError",
... |
2671644316 | import math
import os
import sys
import numpy as np
import torch
from torch import nn
from torch.nn import Conv2d
from torch.nn import functional as F
from torch.nn.utils import remove_weight_norm, spectral_norm, weight_norm
from . import commons, modules
from .commons import get_padding
from .modules import (ConvNex... | w-okada/voice-changer | server/voice_changer/RVC/inferencer/voras_beta/models.py | models.py | py | 7,992 | python | en | code | 12,673 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"l... |
10863291429 | import pytest
from cleverwrap import CleverWrap
from cleverwrap.errors import UnknownAPIError
def test_init():
cw = CleverWrap("API_KEY")
assert cw.key == "API_KEY"
def test_say(mock_requests):
mock_requests.add(
mock_requests.GET,
'https://www.cleverbot.com/getreply?input=Hello&key=AP... | TotallyNotRobots/cleverwrap.py | tests/test_cleverwrap.py | test_cleverwrap.py | py | 959 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cleverwrap.CleverWrap",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cleverwrap.CleverWrap",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cleverwrap.CleverWrap",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pyte... |
7137523065 | import mysql.connector as connector
import datetime as date
import logging
class User :
dates1 = date.datetime.now()
name = "RKFINANCE"
def __init__(self):
self.con = connector.connect(host='localhost',
user='root',
... | Kitturamkrishna/RKFINANCE | User.py | User.py | py | 4,361 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "mysql.connector.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "mys... |
41493530569 | # -*- coding: utf-8 -*-
"""
Created on Fri Jan 29 10:51:07 2021
@author: REMI DECOUTY, DAMIEN LU
"""
import pandas
import glob, os
import igraph as ig
import math
# récupération de la liste de tous les fichiers à étudier
os.chdir("data")
allCsvFiles = glob.glob("*")
os.chdir("..")
# coloration d'une arête, en fonc... | dlu02/projet-bioinfo | projet_multithread.py | projet_multithread.py | py | 9,281 | python | fr | code | 0 | github-code | 36 | [
{
"api_name": "os.chdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 73,
... |
21902537705 | import subprocess
import time
from wifi import Cell
import pathlib
script_path = pathlib.Path(__file__).parent.resolve()
import sys
sys.path.append('../')
from common import mesh_utils
def scan_wifi(interface):
'''
Scan wifi with the AuthAP pattern.
If more than one, select the best quality one.
If ... | tiiuae/mesh_com | modules/sc-mesh-secure-deployment/src/1_5/features/mutual/utils/wifi_ssrc.py | wifi_ssrc.py | py | 2,045 | python | en | code | 12 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "wifi.Cell.all",
"line_num... |
2538475868 | import uuid
from django.db import models
from django.db.models.deletion import CASCADE, SET_NULL
# Create your models here.
"""
Crear un nuevo proyecto Django, con una app llamada PRODUCTOS, que sirva para manejar un catálogo de productos representado por las siguientes entidades:
Producto(nombre, descripcion, url_i... | EsperanzaMacarena/ejerciciosDjango | ejercicio1/ejercicio1/productos/models.py | models.py | py | 1,429 | python | es | code | 0 | github-code | 36 | [
{
"api_name": "django.db.models.Model",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "django.db.models.UUIDField",
"line_number": 20,
"usage_type": "call"
},
{
"api_name"... |
75113361384 | import arcade
import random
SCREEN_WIDTH = 800
SCREEN_HEIGHT = 600
COLORS = [arcade.color.BLUE, arcade.color.FANDANGO_PINK,arcade.color.GOLDEN_POPPY, arcade.color.TURQUOISE_BLUE,arcade.color.SPRING_GREEN,arcade.color.RED,arcade.color.LAVENDER_INDIGO]
class Cercle():
def __init__(self,rayon,x,y,color):
se... | Mousavir/main.py | Exercies_arcade.py | Exercies_arcade.py | py | 1,984 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "arcade.color",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "arcade.draw_circle_filled",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "arcade.Window",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "random.... |
39309304527 | #!/usr/bin/python3
#
# MEG sensor space analysis for visual LTP (vertical & horizontal gratings)
#
# Authors: Paul Sowman, Judy Zhu
#######################################################################################
import os
import mne
import meegkit # for TSPCA
import glob
import matplotlib.pyplot as plt
import... | Macquarie-MEG-Research/MEG_analysis_mne | Vince_MEG_MD_VEP.py | Vince_MEG_MD_VEP.py | py | 7,910 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.system",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 48,
... |
617619433 | # monitor
import subprocess
import os
import time
import datetime
import threading
import shutil
import argparse
import Dashboard
BROWSER_PATH = ''
METHOD = None
URL = "http://127.0.0.1:8080/flag?"
MODE1 = "--incognito" # 시크릿 모드
MODE2 = "--no-sandbox" # 샌드박스 비활성화
TIMEOUT = 300 # 5min
p = None
RUN_FLAG = False
de... | BOB-Jour/Glitch_Fuzzer | run_fuzz_windows10.py | run_fuzz_windows10.py | py | 3,327 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "subprocess.Popen",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "datetime.... |
2795908861 | from flask import Flask, render_template, redirect
from flask_pymongo import PyMongo
from .settings import Config
from .search import Searcher
from .forms import SearchForm
def create_app():
app = Flask(__name__)
app.config.from_object(Config)
mongo = PyMongo(app, connect = True)
webIndex = mongo.cx.w... | Patrick-Bender/wholesearchcatalog.com | flaskapp-Backup/flaskapp/__init__.py | __init__.py | py | 965 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "settings.Config",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "flask_pymongo.PyMongo",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "forms.SearchForm... |
41042866801 | import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import itertools
from PIL import Image
from scipy.cluster.hierarchy import dendrogram
from sklearn.datasets import load_iris
import numpy as np
from sklearn.cluster import AgglomerativeClustering
from pandas.c... | pletnev-aleksandr/nsd_hackathon | libb.py | libb.py | py | 6,556 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pickle.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3... |
17581792452 | from typing import Any, Dict, Tuple, Optional
from urllib.parse import urlparse
from starwhale.utils import config
from starwhale.base.uri.exceptions import NoMatchException
def _get_instances() -> Dict[str, Dict]:
return config.load_swcli_config().get("instances", {}) # type: ignore[no-any-return]
def _get_d... | star-whale/starwhale | client/starwhale/base/uri/instance.py | instance.py | py | 3,238 | python | en | code | 171 | github-code | 36 | [
{
"api_name": "starwhale.utils.config.load_swcli_config",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "starwhale.utils.config",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 8,
"usage_type": "name"
},
{
"api_name... |
5456383430 | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
#
# @name : PhoneInfoga - Phone numbers OSINT tool
# @url : https://github.com/sundowndev
# @author : Raphael Cerveaux (sundowndev)
from bs4 import BeautifulSoup
import hashlib
import json
from lib.output import *
from lib.request import send
'''
Scanning phone numbe... | wagdev1919/BulkPhonenumberVerifier | BulkPhoneNumberVerifier/scanners/numverify.py | numverify.py | py | 2,294 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "lib.request.send",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "lib.request.send",
... |
21625949314 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import time
import argparse
import numpy as np
import networkx as nx
import subprocess
import os
from tulip import tlp
import pandas as pd
from evalne.utils import preprocess as pp
def parse_args():
""" Parses Fruchterman-Reingold arguments."""
parser = argparse.... | aida-ugent/graph-vis-eval | methods/fruchterman_reingold.py | fruchterman_reingold.py | py | 7,489 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "os.path.split",
... |
15615165732 | from sys import argv, exit
from collections import OrderedDict
from functools import reduce
import re
import httplib2
# Google API
from apiclient import discovery
from apiclient.errors import HttpError
from oauth2client import client, tools
from oauth2client.file import Storage
# Reddit API
import praw
import OAuth2U... | JohnnyDeuss/reddit-bots | PenpalsVerification/PenpalsVerification.py | PenpalsVerification.py | py | 16,850 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "collections.OrderedDict",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 79,
"usage_type": "argument"
},
{
"api_name": "sys.argv",
"line_number": 81,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_nu... |
30019222748 | from flask import Flask, render_template, redirect
import pymongo
from flask_pymongo import PyMongo
import scrape_mars
#Spin up the Flask App
app = Flask(__name__, template_folder='templates')
app.config["MONGO_URI"] = "mongodb://localhost:27017/mars_app"
mongo = PyMongo(app)
#Or set inline
#mongo = PyMongo(app, ur... | fabzum/web-scraping-challenge | Missions_to_Mars/app.py | app.py | py | 1,218 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_pymongo.PyMongo",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "scrape_mars.sc... |
10763879949 |
import numpy as np
from scipy.optimize import minimize
import scipy.io
def sigmoid(z):
return 1.0/(1 + np.e**(-z))
def lrCostFunction(theta,X,y,reg_param):
m = len(y)
J =((np.sum(-y*np.log(sigmoid(np.dot(X,theta)))-
(1-y)*(np.log(1-sigmoid(np.dot(X,theta))))))/m +
(reg_param/m)*np.sum(th... | kumudlakara/MRM | multiclass_logistic_regression.py | multiclass_logistic_regression.py | py | 2,225 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.e",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "numpy.sum",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 12,
... |
16926338982 | import dash
from dash import dcc
from dash import html
import dash_daq as daq
from dash.dependencies import Input, Output
import pandas as pd
import numpy as np
import plotly.graph_objs as go
import plotly.express as px
import umap
from umap import UMAP
import dash_bootstrap_components as dbc
# Launch the applic... | EbruAyyorgun/3Dexplore | leukemia_dash_final.py | leukemia_dash_final.py | py | 17,987 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "dash.Dash",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "dash_bootstrap_components.themes",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "panda... |
11367854731 | import torch
from torchvision import datasets, transforms
# Define paths for the data
data_dir = 'flowers'
train_dir = data_dir + '/train'
valid_dir = data_dir + '/valid'
test_dir = data_dir + '/test'
dirs = {
'train': train_dir,
'val': valid_dir,
'test': test_dir
}
# Define transforms for the training,... | codeballet/image-classifier-flowers | get_data.py | get_data.py | py | 1,448 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.RandomRotation",
"line_number": 20,
"usage_type": "call"
}... |
463033195 | from base64 import decodebytes
import discord
from discord import embeds
from discord.ext import commands
import random
import datetime
from requests.models import Response
class Events(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.Cog.listener()
async def on_ready(self):
... | Oreofreakshake/fodifulhu-discord-bot | cogs/events.py | events.py | py | 3,572 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Cog.listener",
"line_number": 15,
"usage_type": "call"
},
{
... |
14359245018 | from classifiers.NCC import NCC
from classifiers.NBC import NBC
from classifiers.GNB import GNB
from sklearn.naive_bayes import GaussianNB
from sklearn import metrics
from sklearn import datasets
import MNIST
import numpy as np
def modify_data(data):
modified = []
for d in data:
tmp = []
fo... | niklashedstrom/EDAN95 | lab5/main.py | main.py | py | 3,091 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.load_digits",
... |
28896311683 | #!/usr/bin/env python
# coding: utf-8
import numpy as np
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
import os
from os import path
import re
class WeatherMax():
'''
pass file directory path with forward slashes
'''
def __init__(self,directorypath):
self.directorypath ... | bigdubya/Data_Engineer_DLG | Main_folder/weathermax.py | weathermax.py | py | 3,239 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.chdir",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_numbe... |
2216377889 | import cv2
import numpy as np
from PIL import Image
def main():
capture = cv2.VideoCapture(0)
while True:
if cv2.waitKey(1) & 0xFF == ord('q'):
break
ret, frame = capture.read()
cv2.imshow('Current', frame)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
imag... | jpbel65/Robot-D3-E9-H2019 | scripts/QRTest.py | QRTest.py | py | 680 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number... |
75216111782 | import time
#import img2txt
import os
import json
from PIL import Image
def load_file(fpath): # fpath是具体的文件 ，作用：#str to list
assert os.path.exists(fpath) # assert() raise-if-not
with open(fpath, 'r') as fid:
lines = fid.readlines()
records = [json.loads(line.strip('\n')) for line in lines] # str... | JoeLiHai/Mask_Detection_and_Social_Distance | data_preprocess/odgt2txt.py | odgt2txt.py | py | 3,721 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.path.exists",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 1... |
24955171162 | from fastapi import APIRouter
from BusinessLayer.PersonaNatural import *
from EntityLayer.PersonaNaturalEntity import *
from fastapi.encoders import jsonable_encoder
from Utilidades.Entidades.ResponseAPI import ResponseAPI, ResponseAPIError
PersonaNaturalRouter = APIRouter()
ApiName = "PersonaNatural"
@PersonaNatura... | josedtl/AlmacenLogistico | Proyecto/server/routes/PersonaNaturalRoute.py | PersonaNaturalRoute.py | py | 2,243 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "fastapi.encoders.jsonable_encoder",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "Utilidades.Entidades.ResponseAPI.ResponseAPI.Response",
"line_number": 15,
"usage_type... |
14049558832 | from . import views
from django.urls import path
urlpatterns = [
path('admin_dashboard', views.admin_dashboard, name="admin_dashboard"),
path('admin_packages', views.admin_packages, name="admin_packages"),
path('update_package/<package_id>', views.update_package, name="update_package"),
path('delete_pa... | aniatki/pro-dad | admin_dashboard/urls.py | urls.py | py | 389 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
7570177447 | from tkinter import Frame, DoubleVar
from tkinter.ttk import Scale
from typing import Dict, Tuple, List
from ui.misc import NoneTypeCheck
from ui.Components import Component
class Range(Component):
"""
Tkinter range value
"""
def __init__(self, parent: Frame, style: Dict, geometry: Tuple[int] | List... | TwoSails/maze-generator | ui/Components/range.py | range.py | py | 987 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "ui.Components.Component",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "tkinter.Frame",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
... |
31564159525 | #!/usr/bin/env python3
"""
1 Aug 2022 Taeho Choi created for longhorn API python client
KUBECONFIG needs to be imported properly before running this script
"""
import time
import longhorn
import os
import json
#Warning msg to user
print("#"*40)
print("!! WARNING: This script can cause catastrophic conseque... | nogodan/longhorn_python_client | longhorn_client.py | longhorn_client.py | py | 7,674 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.sleep",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 27,
... |
33627483742 | from sklearn.model_selection import train_test_split
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import pickle
import torch
import torch.nn as nn
import torch.optim as optim
from train_lgbm import *
import lightgbm as lgb
from torch.utils.data import TensorDataset,D... | tianyao-aka/BotSpot | vectorized_botspot.py | vectorized_botspot.py | py | 26,961 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"... |
36840895879 | from __future__ import absolute_import, print_function, unicode_literals
import argparse
import os
import sys
import yaml
# Get relative imports to work when the package is not installed on the PYTHONPATH.
if __name__ == "__main__" and __package__ is None:
sys.path.append(os.path.dirname(os.path.dirname(os.path.a... | mongodb/mongo | buildscripts/validate_mongocryptd.py | validate_mongocryptd.py | py | 2,966 | python | en | code | 24,670 | github-code | 36 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
3206846810 | """ Provides an intermediate datastructure close to the PDF, which is used
to transform the lines in the pdf into TimeTable objects. """
from __future__ import annotations
import logging
from operator import attrgetter
from pathlib import Path
from typing import Callable, TypeAlias
from pdf2gtfs.config import Config... | heijul/pdf2gtfs | src/pdf2gtfs/datastructures/pdftable/pdftable.py | pdftable.py | py | 11,459 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "typing.TypeAlias",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "typing.TypeAlias",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "pdf2gtfs.datastru... |
71038539943 | import torch.nn as nn
import torch.nn.functional as F
from ...utils import CONFIG
from ..encoders.resnet_enc import ResNet_D
from ..ops import GuidedCxtAtten, SpectralNorm
class ResGuidedCxtAtten(ResNet_D):
def __init__(self, block, layers, norm_layer=None, late_downsample=False):
super... | XiaohangZhan/deocclusion | demos/GCAMatting/networks/encoders/res_gca_enc.py | res_gca_enc.py | py | 3,937 | python | en | code | 764 | github-code | 36 | [
{
"api_name": "encoders.resnet_enc.ResNet_D",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "utils.CONFIG.model",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "utils.CONFIG",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torc... |
4002922556 | #! /usr/bin/env python3
import json
import time
import rclpy
from rclpy.node import Node
from rclpy.executors import MultiThreadedExecutor
from robot_navigator import BasicNavigator, TaskResult
from geometry_msgs.msg import PoseStamped
from std_msgs.msg import Float64MultiArray, Int32, String, Bool, Int32MultiArray
... | maurocs/knitting-amr | Navigation routine/AA_DOCK.py | AA_DOCK.py | py | 11,537 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "json.load",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "rclpy.node.Node",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "std_msgs.msg.Int32",
"line_number": 59,
"usage_type": "argument"
},
{
"api_name": "std_msgs.msg.Int32Mu... |
17443182071 | #!/usr/bin/env python
"""
A thermometer display stimulus.
This module contains a class implementing a thermometer display stimulus.
"""
from __future__ import absolute_import, print_function, division
from builtins import *
__author__ = 'Florian Krause <florian@expyriment.org>'
__version__ = ''
__revision__ = ''
_... | expyriment/expyriment-stash | extras/expyriment_stimuli_extras/thermometerdisplay/_thermometerdisplay.py | _thermometerdisplay.py | py | 10,984 | python | en | code | 20 | github-code | 36 | [
{
"api_name": "expyriment.stimuli._visual.Visual",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "expyriment.stimuli._visual.Visual.__init__",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "expyriment.stimuli._visual.Visual",
"line_number": 79,
"usag... |
42998098746 | from __future__ import annotations
from typing import TYPE_CHECKING, Any
from ..network import ID_TOKEN_AUTHENTICATOR
from .by_plugin import AuthByPlugin, AuthType
from .webbrowser import AuthByWebBrowser
if TYPE_CHECKING:
from ..connection import SnowflakeConnection
class AuthByIdToken(AuthByPlugin):
"""I... | snowflakedb/snowflake-connector-python | src/snowflake/connector/auth/idtoken.py | idtoken.py | py | 2,028 | python | en | code | 511 | github-code | 36 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "by_plugin.AuthByPlugin",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "by_plugin.AuthType.ID_TOKEN",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_n... |
70874373865 | from __future__ import annotations
from contextlib import contextmanager
from datetime import datetime
from decimal import Decimal
from typing import ContextManager, List, Text
from uuid import UUID, uuid4
import sqlalchemy as sa
import sqlalchemy_utils as sa_utils
from injector import inject
from sqlalchemy import f... | lzukowski/workflow | src/ordering/db/buy_order.py | buy_order.py | py | 4,190 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "application.db.Base",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "interface.BuyOrder",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "uuid.UUID",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "decimal.Decimal",
... |
19090796379 | from __future__ import annotations # postpone evaluation of annotations
import pandas as pd
from itertools import combinations, product, permutations, repeat, chain
import numpy as np
import math
from sklearn.metrics import auc
import pickle
import gzip
from scipy.special import stdtr
from scipy.stats import pearsonr
... | QuantitativeBiology/MiguelThesisPrecisionMed | src/resources/classes.py | classes.py | py | 135,744 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.getsizeof",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "gzip.open",
"line_num... |
18672719269 | import json
import logging
from selenium.webdriver.common.by import By
from selenium.webdriver.chrome.webdriver import WebDriver
from selenium.webdriver.chrome.options import Options
from selenium import webdriver
from selenium.webdriver.remote.webelement import WebElement
from selenium.webdriver.support.ui import WebD... | rnjacky777/automation_framework | core_framework/core_framework.py | core_framework.py | py | 1,742 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 19,
"usage_type": "call"
... |
16521824851 | ###read training peptide input
import sys, os, re
from collections import OrderedDict
def readtrainfile(length, trainfile_peptide):
if os.path.exists(trainfile_peptide) == False:
print('Error: "' + trainfile_peptide + '" does not exist.')
sys.exit(1)
upscaleAA = ['A', 'R', 'N', 'D', '... | 17shutao/Anthem | bin/sware_j_newreadfiletrain.py | sware_j_newreadfiletrain.py | py | 3,542 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "os.path.exists",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 23,
... |
38633646472 | #imports
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from main import number_of_pendulums
class Plotting():
def __init__(self, pendulum_number, pendulum_list, dataframe, y):
self.pendulum_number = pendulum_number
self.pendulum_list = pendulum_list
self.da... | EdwardTAllen/Damped-pendulum | plotting_methods.py | plotting_methods.py | py | 1,213 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matpl... |
34219146493 | from __future__ import absolute_import, unicode_literals, division, print_function
"""Scrape contacts from a Google email account.
Usage:
- First, you need an OAuth2 access token. Run e.g.
$ python2 oauth.py --client_id="..." --client_secret="..." --user=jdoe@example.com --generate_oauth2_token
- Open the URL in a ... | kelleyk/imap-scripts | imap_scripts/get_correspondents.py | get_correspondents.py | py | 6,133 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.version_info",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "imaplib.IMAP4_SSL",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "email.message_from_bytes",
"line_number": 100,
"usage_type": "call"
},
{
"api_name": "arg... |
72717961063 | #!/usr/bin/env python3
"""
Experiment with different parameters the CNN training and collect accuracy
Quick and dirty adaptation from train.py.
Search `TUNING` in this code for hard coded parameters to try.
[Code left as is, not cleaned, to explicit what I've tried...]
"""
import os
import pickle
import argpars... | jmg-74/exam | flowers/stats.py | stats.py | py | 5,713 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.nn.NLLLoss",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 57,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.t... |
9587814547 | import os
import subprocess
from plugin import LINUX, WINDOWS, plugin, require
VALID_OPTIONS = ['status', 'vendor', 'energy', 'technology', 'remaining']
@require(platform=WINDOWS)
@plugin('battery')
def battery_WIN32(jarvis, s):
"""
Provides basic info about battery for win32
"""
# https://stackover... | sukeesh/Jarvis | jarviscli/plugins/battery.py | battery.py | py | 3,633 | python | en | code | 2,765 | github-code | 36 | [
{
"api_name": "psutil.sensors_battery",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "plugin.require",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "plugin.WINDOWS",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "plugin.plugin",
... |
25985906594 | import stanza
import json
from tqdm import tqdm
import os
def save_as_json(objects, fname):
with open('data/'+fname, 'w') as output:
json.dump(objects, output, indent=4)
nlp = stanza.Pipeline(lang='en', processors='tokenize,mwt,pos,lemma', logging_level='DEBUG')
fiction_list = [_ for _ in os.listdir("inpu... | scarletcho/coca-fiction-search | sentence-tokenize.py | sentence-tokenize.py | py | 793 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "json.dump",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "stanza.Pipeline",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 13... |
27232603168 | import curses
from ..config import CORRECT_LETTER_COLOR_PAIR_INDEX, EXISTS_LETTER_COLOR_PAIR_INDEX, INCORRECT_LETTER_COLOR_PAIR_INDEX, NORMAL_LETTER_COLOR_PAIR_INDEX, TILE_SIZE
from .screen import apply_color_pair, remove_color_pair
def generate_game_element(letter, correct=False, exists_in_answer=False, incorrect=F... | Samoray-l337/terminal-wordle | src/utils/game.py | game.py | py | 3,334 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "config.TILE_SIZE",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "screen.apply_color_pair",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "config.CORRECT_LETTER_COLOR_PAIR_INDEX",
"line_number": 51,
"usage_type": "argument"
},
... |
73478586985 | from pprint import pformat
from six import iteritems
class PITimedValues(object):
swagger_types = {
'items': 'list[PITimedValue]',
'units_abbreviation': 'str',
'web_exception': 'PIWebException',
}
attribute_map = {
'items': 'Items',
'units_abbreviation': 'UnitsAbbreviation',
'web_exception': 'WebExcep... | dcbark01/PI-Web-API-Client-Python | osisoft/pidevclub/piwebapi/models/pi_timed_values.py | pi_timed_values.py | py | 2,018 | python | en | code | 39 | github-code | 36 | [
{
"api_name": "six.iteritems",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "pprint.pformat",
"line_number": 76,
"usage_type": "call"
}
] |
34321829332 | #-*- coding: utf-8 -*-
from django.db import models
from django.db.models import Max
from .category import Category
class Product(models.Model):
category = models.ForeignKey(Category, related_name="products", null=True, blank=True, on_delete=models.SET_NULL)
name = models.CharField(db_index=True, max_leng... | anttiranta/sirkkapelkonen.net-python | app/www/models/www/product.py | product.py | py | 1,737 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.db.models.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.db.models.ForeignKey",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": ... |
27550324610 | import datetime
from imap_tools import EmailAddress
DATA = dict(
subject='Re: TESTテストテスト',
from_='atsushi@example.com',
to=('rudeboyjet@gmail.com',),
cc=(),
bcc=(),
reply_to=('rudeboyjet@gmail.com',),
date=datetime.datetime(2011, 8, 19, 10, 47, 17, tzinfo=datetime.timezone(datetime.timedelt... | ikvk/imap_tools | tests/messages_data/rfc2822/example14.py | example14.py | py | 1,236 | python | en | code | 608 | github-code | 36 | [
{
"api_name": "datetime.datetime",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.timezone",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "imap_tools.Ema... |
37662338422 | import os
import setuptools
requirement_files = []
# walk the requirements directory and gather requirement files
for root, dirs, files in os.walk('requirements'):
for requirements_file in files:
requirements_file_path = os.path.join(root, requirements_file)
requirement_files.append(requirements_... | rackerlabs/poppy | setup.py | setup.py | py | 874 | python | en | code | null | github-code | 36 | [
{
"api_name": "os.walk",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "setuptools.setup",
"line_number"... |
70376883625 | import requests
from random import randrange
from randomWalk import dateIncrease
from olivier import find_arrival
def chooseDestination_new (depart , budget , date , dayspercity=2 , country = 'CH' , currency = 'CHF', locale = 'en-GB' , destination = 'anywhere' ) :
url = 'http://partners.api.skyscanner.net/apiservi... | ttreyer/Skyscanner-CONpagnons | newgetters.py | newgetters.py | py | 4,427 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "randomWalk.dateIncrease",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "randomWalk.dateI... |
37432459091 | import pygame as pg
import sys
from settings import *
from player import *
from world_object_manager import *
from ray import *
from ray_manager import *
from object_renderer import *
class Game:
def __init__(self):
pg.init()
pg.mouse.set_visible(False)
self.screen = pg.disp... | makaempffer/game_2d_DOS | Dawn_Of_The_system/src/main.py | main.py | py | 1,826 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.mouse.set_visible",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.mouse",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
23958671415 | from pytorch_lightning import LightningDataModule
from pytorch_lightning.utilities.types import EVAL_DATALOADERS, TRAIN_DATALOADERS
from torch.utils.data import DataLoader, Dataset
class BasicDataModule(LightningDataModule):
def __init__(
self,
train_dataset: Dataset,
val_dataset: Dataset,... | adamcasson/minT5 | mint5/datamodule.py | datamodule.py | py | 1,165 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pytorch_lightning.LightningDataModule",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 10,
"usage_type": "name"
},
{
... |
33197438917 | from __future__ import print_function
import sys
import time
from optparse import OptionParser
import ezdxf
__version__ = "0.1"
class Stitcher(object):
def __init__(self, input_name, output_name):
self.old = ezdxf.readfile(input_name)
self.new = ezdxf.new()
self.output_name = output_nam... | thatch/dxf_fix | dxf_fix/__init__.py | __init__.py | py | 7,096 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "ezdxf.readfile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "ezdxf.new",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 46,... |
36771356783 | # -*- coding: utf-8 -*-
"""Training KGE models based on the sLCWA."""
import logging
from typing import Any, Mapping, Optional, Type
import torch
from torch.optim.optimizer import Optimizer
from pykeen.training.training_loop import TrainingLoop
from pykeen.training.utils import apply_label_smoothing
from pykeen.los... | migalkin/NodePiece | inductive_lp/loops/inductive_slcwa.py | inductive_slcwa.py | py | 6,454 | python | en | code | 131 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pykeen.training.training_loop.TrainingLoop",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "pykeen.sampling.NegativeSampler",
"line_number": 30,
"usage_type": "name"
... |
36082506802 | """
Gradient Penalty implementation for WGAN-GP
"""
import torch
import torch.nn
# Define the gradient penalty for Wasserstein GAN
# Implementation as is in paper
def gradient_penalty(critic, real, fake, device):
BATCH_SIZE, C, H, W = real.shape
epsilon = torch.rand((BATCH_SIZE, 1, 1, 1)).repeat(1, C, H, W)... | EoinM96/pokeGAN | utils.py | utils.py | py | 885 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torch.rand",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.autograd.grad",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.autograd",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.ones_like",
... |
70996234665 | import json
from datetime import datetime, timezone
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import AccessMixin
from django.db.models import Count, Q, F
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts ... | fnabiyevuz/crm | board/views.py | views.py | py | 32,513 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.http.HttpResponse",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "xlwt.Workbook",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "xlwt.XFStyle",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "xlwt.Font",
"... |
2022759755 | import logging as log
import math
from itertools import islice
import torch
from nltocode.dataset import EdgePathTransform
from nltocode.grammar.grammargraphvisitor import GrammarGraphVisitor
class BeamSearch():
def __init__(self,
model,
grammargraph,
codegener... | SmartDataAnalytics/codeCAI | nl2codemodel/src/nltocode/beamsearch.py | beamsearch.py | py | 13,758 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "nltocode.grammar.grammargraphvisitor.GrammarGraphVisitor",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "nltocode.dataset.EdgePathTransform",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 62,
"usage_type... |
13650180009 |
'''
openweathermap.org
api_key = f54b13c3c6ecf6d1d51c6be402b095dc
https://api.openweathermap.org/data/2.5/weather?lat={lat}&lon={lon}&appid={API key}
'''
import requests
APP_ID = "f54b13c3c6ecf6d1d51c6be402b095dc"
# response = requests.get('https://google.com')
# print(response)
def getWeatherData(lat, lon):
... | moduchobo/mj_metrooo | MyApp/realtimeWeather 2.py | realtimeWeather 2.py | py | 592 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
}
] |
33981754058 | # # https://www.youtube.com/watch?v=bD05uGo_sVI&list=PL-osiE80TeTt2d9bfVyTiXJA-UTHn6WwU&index=36
# '''
# Generators - How to use them and the benefits you receive
# Generator will not hold any value while printing hence it is good for performance - it is just holding current value from the loop
# '''
import memory_pro... | techtolearn/Learning | Cory_Basic/Prg36_generatroPerfomance.py | Prg36_generatroPerfomance.py | py | 1,634 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "memory_profiler.memory_usage",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "random.choic... |
44008043108 | import pygame
# import twitter
from pygame.locals import *
from io import BytesIO
import urllib.request as ur
pygame.init()
alotfiles = "D:\\Users\\Charles Turvey\\Pictures\\Art\\Alots\\"
alotpath = alotfiles + "Blank.png"
alot = pygame.image.load_extended(alotpath)
w = alot.get_width()
h = alot.get_height()
lft =... | ninjafrostpn/PythonProjects | Alotter.py | Alotter.py | py | 3,066 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.image.load_extended",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pygame.surfar... |
19876279061 | import sys
import os
from setuptools import setup, find_packages, Extension
# Import setupext ONLY if you want custom triggers
# If you only use prep_cmd, you only need to include setupext in the package
# import setupext
os.chdir(os.path.dirname(sys.argv[0]) or ".")
'''
=============================================... | sundarnagarajan/setupext | setup.py | setup.py | py | 4,594 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "os.chdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 9,
... |
24338300355 | """ distributions
Provides likelihood functions for distributions and a method to assign the
most likely distribution to observed numeric data.
discreteData used to determine whether data is discrete or not.
"""
import numpy as np
from scipy import special as sp
from scipy import stats
import sys
def discreteDat... | stevec12/Stat-Tools | StatsTools/distributions.py | distributions.py | py | 4,438 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.min",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.argmin",
"line_numb... |
34398023581 | import shutil
import torch
from dataset import *
from utils import *
from settings_benchmark import *
from dataset import writer
from torch.utils.tensorboard import SummaryWriter
all_dataset = prepareDatasets()
print(f"Models: {[name for name in models]}")
print(f"Datasets: {[name for name in all_dataset]}")
# 自检：... | nhjydywd/OCTA-FRNet | run_benchmark.py | run_benchmark.py | py | 6,001 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "torch.cuda.device_count",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_av... |
41019512289 | import re
from django.views.generic.base import TemplateView
from natsort import humansorted
from ..conf import settings
from ..utils import get_branches
from ..utils import get_tags
regex_hotfix = re.compile(settings.RELEASE_DASHBOARD_FILTER_MRXXX)
regex_mr = re.compile(r"^mr.+$")
def _projects_versions(
proj... | sipwise/repoapi | release_dashboard/views/__init__.py | __init__.py | py | 1,627 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "re.compile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "conf.settings.RELEASE_DASHBOARD_FILTER_MRXXX",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "conf.settings",
"line_number": 10,
"usage_type": "name"
},
{
"api_na... |
30478020917 | from collections import OrderedDict, namedtuple
from decimal import Decimal
from string import ascii_uppercase
def tabular(table, widths):
def sandwich(delim, contents):
return delim + delim.join(contents) + delim
def cell(value, width):
return ' ' + str(value).ljust(width - 2)
def... | hzhamed/Fast-Food-Menu-Calculator | Menu.py | Menu.py | py | 1,687 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.namedtuple",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.OrderedDict",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "string... |
39003004891 | # Q.4 Write a python code to find the data distributions using box plot for Income.csv file
# Code
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
dataframe = pd.read_csv("csv_data/income.csv")
print(dataframe.head())
print(dataframe.isnull().values.any())
age = dataframe["age"]
JobType = da... | ShubhamNagure/Assignments | AI_ML_KR/Assignment#2/question4.py | question4.py | py | 795 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "seaborn.boxplot",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
40612286632 | from picamera import PiCamera
from picamera.array import PiRGBArray
import cv2
import time
camera=PiCamera()
camera.resolution=(800,600)
camera.framerate=32
rawCaptures = PiRGBArray(camera,size=(800,600))
time.sleep(0.2)
for rawCapture in camera.capture_continuous(rawCaptures,format="bgr",use_video_port=True):
i... | sacrrie/people_finding | video-recording/record_by_frame_rgb.py | record_by_frame_rgb.py | py | 486 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "picamera.PiCamera",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "picamera.array.PiRGBArray",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
... |
23111160181 | from rest_framework.exceptions import APIException
from django.db.models import Q
from stock_maintain.models import PriceList, QuarterlyFinancial, DividendInformation
from stock_setup_info.models import Stock, StockManagement
def get_stock_by_code(query_params):
""" Get stock by the stock code provided"""
t... | Maxcutex/stockman_project | stock_setup_info/services.py | services.py | py | 7,473 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "rest_framework.exceptions.APIException",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "stock_setup_info.models.Stock.objects.filter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "stock_setup_info.models.Stock.objects",
"line_number": 15... |
10019831327 | import csv
from django.http import HttpResponse
from django.shortcuts import render
from .models import account
from .models import deposite
from .models import withdraw
# Create your views here.
def showindex(request):
return render(request,"Home.html")
def head(request):
return render(request,"Head.html")
... | prasadnaidu1/django | bankinfo/prasad/views.py | views.py | py | 3,584 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.shortcuts.render",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 17,
"usage_type": "call"
},
{
"api_name"... |
29515253943 | import base64
from plugins.googleapi.Google import Create_Service
from email.mime.text import MIMEText
from sql_data.schemas import Mail
def create_mail_service(user_id):
CLIENT_SECRET_FILE = 'plugins/googleapi/Credentials/keys.json'
API_SERVICE_NAME = 'gmail'
API_VERSION = 'v1'
SCOPES = ['https://ww... | r0king/EventOn-api | plugins/gmail/mail.py | mail.py | py | 2,985 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "plugins.googleapi.Google.Create_Service",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "email.mime.text.MIMEText",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "base64.urlsafe_b64encode",
"line_number": 21,
"usage_type": "call"
}
] |
1107559956 | import os
import subprocess
from docutils import nodes
from docutils.parsers.rst import Directive
from tutorials import tutorials
import sphinx_material
class Tutorials(Directive):
def run(self):
output = list()
# General text
intro = f"""
<p>
<b>viskex</b> is accompanied by a few tutorial... | viskex/viskex.github.io | _ext/ext.py | ext.py | py | 8,064 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "docutils.parsers.rst.Directive",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "docutils.nodes.raw",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "docutils.nodes",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "tutor... |
718879097 | from crossref.restful import Works
import requests
import re
class CrossRef:
def __init__(self):
self.works = Works()
self.metadata = None
def get_doi_metadata(self, doi: str) -> dict:
try:
self.metadata = self.works.doi(doi=doi)
return self.metadata
... | jamino30/dandiset-metadata-filler | clients/crossref.py | crossref.py | py | 2,780 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "crossref.restful.Works",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 44,
"usage_type": "call"
}
] |
14619387009 | #画像処理_SURF
#参考文献
#https://python-debut.blogspot.com/2020/02/blog-post_24.html
#https://stackoverflow.com/questions/52305578/sift-cv2-xfeatures2d-sift-create-not-working-even-though-have-contrib-instal
#opencvのバージョンを下げた
import numpy as np
import cv2
img = cv2.imread('dog.jpg')
#特徴抽出するための箱を作る．
surf = cv2.xfeatures2d.S... | mitanihayato/shinjinkadai | 4_surf.py | 4_surf.py | py | 814 | python | ja | code | 0 | github-code | 36 | [
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.xfeatures2d.SURF_create",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.xfeatures2d",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "cv2.drawK... |
45138590856 | import sys
import argparse
class BaseOptions():
def __init__(self):
self.initialized = False
def initialize(self, parser):
# original arguments
parser.add_argument("--epoch", type=int, default=0,
help="epoch to start training from")
parser.add_argument("--n_... | HBX-hbx/CGAN_jittor_landscape | options/base_options.py | base_options.py | py | 4,573 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 61,
"usage_type": "call"
}
] |
2689293408 | #========================================================================================#========================================================================================
# LIBRARIES
#========================================================================================
import BH_Physics as BHP
from fitool ... | sbustamante/Spinstractor | Subhalo_Color_Mass_Matcher.py | Subhalo_Color_Mass_Matcher.py | py | 4,486 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.close",
"line_number": 21,
"usage_type": "call"
},
{
"api_nam... |
71793784103 | # -*- coding: utf-8 -*-
"""
API
/api_part/formula_search - search API
/api_part/contexts/<formula_id> - contexts for one formula (with span)
"""
from flask import Flask
from flask_restful import Api
from flask_cors import CORS
from api_part.models import db
from api_part.api import FormulaSearch, FormulaContexts
app... | dkbrz/ice_site | api_part/app.py | app.py | py | 854 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "api_part.models.db.app",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "api_part.mode... |
41907938518 | import os
os.environ
from PIL import Image
from torchvision import transforms, models
import torch
import torch.nn as nn
model = models.resnet50(pretrained=True)
num_features = model.fc.in_features
model.fc = nn.Linear(num_features, 8)
model_path = './age_prediction_model/age_best_model.pth'
model.load_state_dict(... | CSID-DGU/2022-2-SCS4031-EZ_SW | age_prediction_model/age_pred.py | age_pred.py | py | 967 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "torchvision.models.resnet50",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.n... |
14899572028 | import pandas as pd
import altair as alt
import joblib
RECT_SIZE = 13
source = pd.read_json(snakemake.input[0])
df_sb = source.loc[source.Encoding == "zscale", :].copy(deep=True)
df_sb.Encoding = "zzz"
df_sb.F1 = "separator"
dfs, names_imbalanced = [], []
for bf in sorted(source["bio_field"].unique()):
df_tmp ... | spaenigs/peptidereactor | nodes/vis/mds_1_Overview/scripts/hm_bio.py | hm_bio.py | py | 2,481 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "pandas.read_json",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "altair.Axis",
"line_n... |
42034957629 | import sys
import logging
import gi
gi.require_version('Gst', '1.0')
from gi.repository import GObject, Gst, GLib
Gst.init(None)
class Pipeline:
def __init__(self, export_dot, mainloop):
self.mainloop = mainloop
self.logger = logging.getLogger(__name__)
self.pipeline = Gst.Pipeline("pipeli... | gscigala/packet-generation | fpm/test_sample/pipeline.py | pipeline.py | py | 3,441 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "gi.require_version",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gst.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gst",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "logging.getL... |
1597831218 | import numpy as np
import astropy.units as u
from astropy.time import Time
from astropy.table import QTable
import sys
if '/home/serafinnadeau/Python/packages/scintillometry/' not in sys.path:
sys.path.append('/home/serafinnadeau/Python/packages/scintillometry/')
from numpy.lib.format import open_memmap
import os... | Seraf-N/SinglePulseTasks | single_pulse_task/StreamSearch_utils.py | StreamSearch_utils.py | py | 10,765 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "utils.DispersionMeasure",
... |
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