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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
14669591283 | from rest_framework import serializers
from django.contrib.auth.models import User
from crypto_currencies.models import Crypto
class CryptoSerializer(serializers.ModelSerializer):
class Meta:
model = Crypto
fields = [
"id",
"name",
"slug",
"price",
... | adam-qt/crypto_currencies | crypto_currencies_api/serializers.py | serializers.py | py | 680 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "crypto_currencies.models.Crypto",
"line_number": 8,
"usage_type"... |
33218870945 | import re
from rest_framework.views import APIView
from rest_framework.response import Response
from customers.models import ViewHistory
from products.models import Product, Tag, TagCategory
from django.db.models import Q
from products.serializers import ProductSerializer, TagCategorySerializer
import random
class Pr... | H1ako/onlineShop | products/views.py | views.py | py | 3,794 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "products.models.Tag.objects.filter",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "products.models.Tag.objects",
"line_number": 41,
"usage_type": "attribute... |
23990016403 | '''
This module includes some data frames classes conforming some
reaquirements so that we can use their type to make guaranties
'''
import os, re
import datetime as dt
import pandas as pd
import yfinance as yf
class DateColError(Exception):
pass
def standarize_column_name(name):
'Guess the standard name for ... | nsanmartin/timba | timba/src/data_frame.py | data_frame.py | py | 7,971 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "re.compile",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"li... |
7649635472 | from dataset import ISICDataset, get_transform
from modules import get_model
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
from tqdm import tqdm
import pickle
MODE = "debug"
device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cpu")
model = get_model()
model = model.to(dev... | joshua-morris/Mask_RCNN_ISIC | train.py | train.py | py | 4,105 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "modules.get_mode... |
14196342415 | # from pudb import set_trace; set_trace()
from typing import List, Set
from collections import defaultdict
class Solution:
def maxLength(self, arr: List[str]) -> int:
"""LeetCode 1239
Not very difficult, but we got stuck on when to check the result.
First of all, we turn each string into ... | FanchenBao/leetcode | 2021_09_challenge/09_22_2021.py | 09_22_2021.py | py | 2,610 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "typing.Set",
"line_number": 42,
"usage_type": "name"
}
] |
19789350069 | import sys, json
import torch
import os
import numpy as np
import opennre
from opennre import encoder, model, framework
import sys
import os
import argparse
import logging
parser = argparse.ArgumentParser()
parser.add_argument('--ckpt', default='',
help='Checkpoint name')
parser.add_argument('--onl... | XLab-Tongji/TunnelKG | 闫沐西/code/model/myModel.py | myModel.py | py | 3,723 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 54,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists"... |
22343330068 | from injector import inject
from pdip.api.base import ResourceBase
from pdip.data import RepositoryProvider
from tests.unittests.api.basic_app_db_model.models.dao.User import User
class BasicApiDbModelResource(ResourceBase):
@inject
def __init__(self,
repository_provider: RepositoryProvider,... | fmuyilmaz/pdip | tests/unittests/api/basic_app_db_model/controllers/BasicApiDbModelResource.py | BasicApiDbModelResource.py | py | 785 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "pdip.api.base.ResourceBase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pdip.data.RepositoryProvider",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "injector.inject",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": ... |
27240416034 | from django.urls import path
from . import views
app_name = 'ehr'
urlpatterns = [
path('', views.index, name='index'),
path("login", views.login_view, name="login"),
path("logout", views.logout_view, name="logout"),
path('patient/<int:id>', views.patient_view, name='patient'),
path('crea... | DangD96/ElectronicHealthRecord | mysite/ehr/urls.py | urls.py | py | 861 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
9265771476 | # The purpose of this script is combine the GWSI and Wells55 databases into one
# Written by Danielle Tadych
# Goals:
# - Create columns in each respective database specifying its origin
# - Find column they have in common
# - Merge based on that column
# - Make GWSI wells the overriding database and fill in the gaps w... | dtadych/AzGwDrought_SpatialAnalysis | SummaryCodes/Wells55_GWSI_Static_Merge.py | Wells55_GWSI_Static_Merge.py | py | 6,593 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "geopandas.read_file",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
12993153750 | from django.shortcuts import render
from django.http import FileResponse, HttpResponseNotFound, JsonResponse
import boto3, json
from io import BytesIO
from .conf import *
s3 = None
def index(request):
return render(request, "index.html")
def getBook(request, docName):
#if not s3:
s3 = boto3.resource(
... | adityamd/BookRepositoryApp | bookrepo/bookrepo/views.py | views.py | py | 1,258 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.shortcuts.render",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "boto3.resource",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.http.FileResponse",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "io.By... |
41627886268 | import wx, os, platform, sys, ctypes
if sys.version_info <= (2, 6):
import commands as subprocess
else:
import subprocess
class MainFrame(wx.Frame):
def __init__(self, *args, **kwargs):
wx.Frame.__init__(self, *args, **kwargs)
# there needs to be an "Images" directory with one or more jpe... | onprem/wallie | wallie.py | wallie.py | py | 8,793 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.version_info",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "wx.Frame",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "wx.Frame.__init__",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "wx.Frame",
"l... |
17082128543 | #!/usr/bin/env python3
from collections import Counter
WIDTH = 25
HEIGHT = 6
AREA = WIDTH * HEIGHT
with open('input.txt', 'r') as f:
image_data = f.read().strip()
def build_layers(image_data, w, h):
area = w * h
for i in range(0, len(image_data), area):
yield image_data[i:i+area]
ALL_LAYERS = ... | Sparrow1029/AdventOfCode | aoc2019/day08/day08.py | day08.py | py | 1,347 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.Counter",
"line_number": 53,
"usage_type": "call"
}
] |
70402707423 | import os
import threading
import multiprocessing
from queue import Queue
from pathlib import Path
import imageio
"""
Given individual video files (mp4, webm) on disk, creates a folder for
every video file and saves the video's RGB frames as jpeg files in that
folder.
Uses multithreading to extract frames faster.
M... | GlazkoAE/dance-recognition | data/videos_to_frames.py | videos_to_frames.py | py | 2,845 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pathlib.Path",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "imageio.get_reader",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "imageio.imwrite",
"lin... |
42355028295 | import inspect
from difflib import get_close_matches
from conans import ConanFile
def pre_export(output, conanfile, conanfile_path, reference, **kwargs):
def get_base_members(conanfile):
return [m[0] for m in inspect.getmembers(conanfile) if not m[0].startswith('_')]
base_members = get_base_members(... | conan-io/hooks | hooks/members_typo_checker.py | members_typo_checker.py | py | 1,238 | python | en | code | 30 | github-code | 7 | [
{
"api_name": "inspect.getmembers",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "conans.ConanFile",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "difflib.get_close_matches",
"line_number": 25,
"usage_type": "call"
}
] |
18282013947 | from django.contrib.auth import logout # last 2 imported
from django.contrib.auth.decorators import login_required
from django.shortcuts import render
from shared.forms import TeamMemberApprovalForm, \
ProfileModelForm, UserModelForm
from .context_functions import *
# attempt
@login_required
def attempt_list_vi... | dsilveira32/pandora | user/old_views.py | old_views.py | py | 11,710 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.shortcuts.render",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 75,
"usage_type": "call"
... |
12922544031 | from pdb import set_trace
import numpy as np
import torch
from torch import nn, from_numpy
from torch.autograd import Variable
from torch.utils.data.sampler import Sampler
"""
Helper functions and classes for PyTorch
"""
def confusion_matrix(y_true, y_pred):
n_classes = len(set(np.unique(y_true)) | set(np.uniqu... | gitter-badger/mltp | lib/lib.py | lib.py | py | 3,441 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.unique",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.bincount",
"line_number"... |
20282752553 | """Simple functions for embedding data in a notebook file."""
import base64
import mimetypes
import os
import pathlib
import textwrap
import IPython.display
def embed_data(mime: str, data: bytes) -> IPython.display.HTML:
"""Embeds data as an html tag with a data-url."""
b64 = base64.b64encode(data).decode()
i... | marekBouvet/CartPole | .ipynb_checkpoints/embed-checkpoint.py | embed-checkpoint.py | py | 1,031 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "base64.b64encode",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "textwrap.dedent",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "IPython.display.display.HTML",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "IPython... |
7479320862 | from flask import Flask, render_template, redirect, url_for, request
from datetime import date
from datetime import datetime
from database.dbconn import obterSession
from database.dbconn import profissionaisSaudeIgualMaior60, \
naoProfissionaisIgualMaior60, \
... | Saccha/Vacinacao_Covid | projeto_covid/app.py | app.py | py | 2,896 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "database.dbconn.obterSession",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "databa... |
20977617128 | import pprint
import requests
import json
url="https://api.tvmaze.com/singlesearch/shows"
show=input()
params={"q":show}
response = requests.get(url,params)
if response.status_code==200:
data = json.loads(response.text)
# pprint.pprint
name=data['name']
premiered=data['premiered']
print(f"{name} ... | 2000030859-saipraneeth/python-api-basic | pythonProject3/main.py | main.py | py | 395 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 12,
"usage_type": "call"
}
] |
21236478457 | # -*-coding:utf-8 -*-
from sqlalchemy import Column, String, create_engine, Table
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class Article(Base):
__tablename__ = 'entries'
id = Column(String(6), primary_key=True)
title = Colum... | supor/flaskr | create_db.py | create_db.py | py | 669 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String",
"line_number": 11,
"usage_type": "call"
},
{
"ap... |
33201240688 | import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import numpy as np
def is_gray(pixel):
return pixel[0] == pixel[1] == pixel[2]
def find_color(img,i,j):
best = img[i][j].copy()
height = len(img)
width = len(img[0])
for d in range(1,10):
pixels = [(y,x) for y in [i+d,i-d] f... | Kamil2601/University | Studia_inzynierskie/Semestr_5/Python/Lista_9/Zad.py | Zad.py | py | 1,640 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.std",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.image.imread",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "matplotlib.image",
"line_number": 52,
"usage_type": "name"
},
{
"api_name": "matplotlib.image.i... |
27447158533 | import json
import pact
import psycopg2
from psycopg2.extras import LogicalReplicationConnection, StopReplication
from psycopg2 import sql
import boto3
import botocore
import os
import logging
import ecs_logging
# Get the Logger
logger = logging.getLogger("pg2kinesis")
logger.setLevel(logging.DEBUG)
handler = logging.... | YOU54F/pact-logical-replication | pg2kinesis/pg2kinesis.py | pg2kinesis.py | py | 4,925 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ecs_loggin... |
35545261106 | # pypolt画图板子
from turtle import width
import matplotlib.pyplot as plt
import numpy as np
from math import sin
from plotdf import plotdf
NY = 100
NX = 100
xmin,xmax = [-10,10]
ymin,ymax = [-14,14]
dy = (ymax -ymin )/(NY-1.)
dx = (xmax -xmin)/(NX-1.)
def f(x,g=1,l=1,m=1,b=1):
return np.array([x[1],-g*sin(x[0])/l-b*... | YLNX233/MCM | 资源/板子/绘图板子/pypolt.py | pypolt.py | py | 1,408 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.st... |
22539528058 | import torch
from torch import nn
def get_loss(config):
name = config['loss']['name']
loss = None
if name == 'nll_loss':
loss = nn.NLLLoss(reduction='sum')
if name == 'CrossEntropy':
loss = nn.CrossEntropyLoss()
return loss
| LeeHW-THU/Simple_DL_Arch_pytorch | codes/loss.py | loss.py | py | 262 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.nn.NLLLoss",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.CrossEntropyLoss",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
10585407376 | #!/usr/bin/env python
''' Map near surface meteorological variables from the fifth
generation of the European Centre for Medium-Range Weather Forecasts (ECMWF)
atmospheric reanalyses (ERA5) (Delhasse et al., 2020).
References:
Delhasse, A., Kittel, C., Amory, C., Hofer, S., van As, D., S. Fausto, R.,
... | amschne/lnd_srf_for | schneida_tools/era5.py | era5.py | py | 6,783 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "schneida_args.get_args",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
18855339025 | from flask import Flask, escape, request, send_file
import sqlite3
from datetime import datetime
import os
import json
app = Flask(__name__)
conn = sqlite3.connect('site.db')
cursor = conn.cursor()
# create scantrons database
cursor.execute('''
CREATE TABLE IF NOT EXISTS scantrons (
scantron_id INTEGER P... | SukhvirS/cmpe273-assignment2 | app.py | app.py | py | 6,793 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "flask.request.args"... |
33319826702 | from graph_tool.all import *
import json
import math
import cairo
import datetime
edgeBaseSize=2
vertexBaseSize=50
canvas=2000
useSvg=False
if useSvg:
surface = cairo.SVGSurface("llod-cloud.svg",canvas,canvas)
else:
surface = cairo.ImageSurface(cairo.FORMAT_ARGB32,canvas,canvas)
ctx = cairo.Context(surface)
dat... | jmccrae/llod-cloud.py | llod-cloud.py | llod-cloud.py | py | 1,671 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "cairo.SVGSurface",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cairo.ImageSurface",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cairo.FORMAT_ARGB32",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "cairo.Co... |
13443634689 | """
A class to represent a game on graph.
"""
from __future__ import annotations
import ioutils
import networkx as nx
import numpy as np
import pickle
from functools import partial
from loguru import logger
from tqdm import tqdm
__author__ = "Abhishek N. Kulkarni"
__date__ = "September 1, 2023"
# ===================... | abhibp1993/decoy-allocation-problem | game.py | game.py | py | 22,917 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "loguru.logger.error",
"line_number": 238,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"line_number": 238,
"usage_type": "name"
},
{
"api_name": "loguru.logger.error",
"line_number": 260,
"usage_type": "call"
},
{
"api_name": "loguru.logge... |
36039715292 | import datetime
import os
import subprocess
import boto3
import tqdm
def upload_hook(t):
def inner(bytes_amount):
t.update(bytes_amount)
return inner
def upload(disable_progress=False):
s3 = boto3.client("s3")
dbs = {
"db.sqlite3": "all-data.sqlite3.gz",
"frontend.sqlite3"... | adamhammes/kijiji_v2 | kijiji_v2/upload.py | upload.py | py | 1,125 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "boto3.client",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "datetime.ti... |
7365469253 | import argparse
from pathlib import Path
from pydub import AudioSegment
HEAD: int = 15
SECONDS: int = 1000
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument('-f', '--filename', type=str, help='audio file name you want to cut')
return parser.parse_args()
def audio_head(filepath: Pa... | thousanda/audiohead | main.py | main.py | py | 1,063 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "pydub.AudioSegment.from_wav",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pydu... |
71768556385 | import utils as ut
import numpy as np
import sklearn.model_selection as skms
import sklearn.preprocessing as skp
import sklearn.linear_model as skl
def calc_error(poly, scalar, model, x, y):
x_test = poly.transform(x)
x_test = scalar.transform(x_test)
y_predict = model.predict(x_test)
return np.sum... | aarontta-psk/AA_practicas | Practica6/p6/p6.py | p6.py | py | 5,950 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.sum",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.PolynomialFeatures",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 18,
"usage_type": "name"
},
{
"api_name... |
25655909194 | # 3.12 시간 단위 변환
from datetime import timedelta
a = timedelta(days=2, hours=6)
b = timedelta(hours=4.5)
c = a + b
c.days
# 2
c.seconds
# 37800
c.seconds / 3600
# 10.5
c.total_seconds() / 3600
# 58.5
from datetime import datetime
a = datetime(2012, 9, 23)
print(a + timedelta(days=10))
# 2012-10-03 00:00:00
b = dateti... | freebz/Python-Cookbook | ch03/ex3-12.py | ex3-12.py | py | 1,242 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.timedelta",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.timede... |
39562197605 | import acme
import certbot
import certbot.account
import certbot.constants
import certbot.main
import certbot.plugins
import certbot.plugins.dns_common
import certbot.interfaces
import errno
import dns
import dns.name
import grp
import hashlib
import logging
import namedlist
import os
import OpenSSL
import pwd
import i... | antevens/cerlet | cerlet/__init__.py | __init__.py | py | 25,597 | python | en | code | 8 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "stat.S_IWOTH",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "stat.S_IWOTH",
"line_number": 76,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"... |
43558889319 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
import os
import click
from sources.python_weekly import PythonWeekly
from utils.logging import get_logger
logger = get_logger('main.py')
# The hashtable of sources.
source_map = {
'python_weekly': PythonWeekly,
}
# Registry the group command.
@cl... | huytranvn/newsletter-hub | app-scraper/main.py | main.py | py | 1,350 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "utils.logging.get_logger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sources.python_weekly.PythonWeekly",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "click.group",
"line_number": 19,
"usage_type": "call"
},
{
"api_name"... |
17307642054 | #!/usr/bin/env python3
import re, copy, argparse, json
class Node(dict):
def __init__(self, *args, **kwargs):
super(Node, self).__init__(*args, **kwargs)
def add_child(self, node):
if not 'children' in self:
self['children'] = list()
self['children'].append(node)
def g... | scottdaniel/functree-ng | scripts/treeloader.py | treeloader.py | py | 2,384 | python | en | code | null | github-code | 7 | [
{
"api_name": "json.dumps",
"line_number": 55,
"usage_type": "call"
}
] |
3057232502 |
# two classes (class1, class2)
# only replace with a directory of yours
# finally .npy files saved in your directory with names train.npy, #test.npy, train_labels.npy, test_labels.npy
import cv2
import glob
import numpy as np
#Train data
train = []
train_labels = []
NO_OF_CLASSES = 30
IMG_SIZE = 128
filepaths = [".... | nightKrwler/ImageDataset | creatingDataset.py | creatingDataset.py | py | 1,963 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "glob.glob",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 26,
... |
27015849455 | import json
from watson_developer_cloud import ToneAnalyzerV3
import os
api_key = os.environ.get('WATSON_TONE_ANALYZER')
class ToneAnalyzer:
def __init__(self, tone_analyzer = ToneAnalyzerV3(
version='2017-09-21',
iam_apikey=api_key,
url= 'https://gateway-lon.watsonplatform.net/tone-analy... | chrisjgilbert/watson | lib/watson.py | watson.py | py | 638 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.environ.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "watson_developer_cloud.ToneAnalyzerV3",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "jso... |
14560353130 | import torch.nn as nn
import torch
import torch.nn.functional as F
from tqdm import tqdm
from attribution_bottleneck.bottleneck.estimator import ReluEstimator
from attribution_bottleneck.attribution.base import AttributionMethod
from attribution_bottleneck.bottleneck.per_sample_bottleneck import PerSampleBottleneck
fr... | BioroboticsLab/IBA-paper-code | attribution_bottleneck/attribution/per_sample_bottleneck.py | per_sample_bottleneck.py | py | 3,441 | python | en | code | 76 | github-code | 7 | [
{
"api_name": "attribution_bottleneck.attribution.base.AttributionMethod",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "attribution_bottleneck.bottleneck.estimator.Estimator",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "attribution_bottleneck.bottleneck... |
70270764703 | from bs4 import BeautifulSoup
import requests
import requests.exceptions
from urllib.parse import urlsplit
from collections import deque
import re
from lxml import etree
import pandas as pd
import time
years=range(2002,2020,2)
resDF=pd.DataFrame()
#resDF=pd.read_csv("hiphop_data.csv")
for year in years:
... | zuxiangli/Text_mining_project | hiphopmusic.py | hiphopmusic.py | py | 1,201 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.DataFrame",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
30072464033 | import os
import sys
import datetime
import numpy as np
import xarray as xr
import dask
import dask.diagnostics
import cartowik.profiletools as cpf
import hyoga.open
# processed runs
PROC_RUNS = ['alpcyc4.2km.grip.0820', 'alpcyc4.2km.grip.1040.pp',
'alpcyc4.2km.epica.0970', 'alpcyc4.2km.epica.1220.pp',
... | juseg/alps | data/postprocess_alpero_agg.py | postprocess_alpero_agg.py | py | 8,525 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.getlogin",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.uname",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.utcnow",
"li... |
12887681479 | import sqlite3, time
from os import path
# log database SQL
CREATE_LOG = 'CREATE TABLE conn_log (id INTEGER PRIMARY KEY AUTOINCREMENT, user INTEGER, proto INTEGER, binary TEXT, dport INTEGER, dest STRING)'
CREATE_STAMP = 'CREATE TABLE conn_stamp (id INTEGER PRIMARY KEY AUTOINCREMENT, log_id INTEGER, outcome INTEGE... | hulkamania/lockdown | src/connlog.py | connlog.py | py | 5,344 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "os.path.exists",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "sqlite3.connect",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "time.localtime",
"line_num... |
74961929502 | #!/usr/bin/env python
import keras, tensorflow as tf, numpy as np, gym, sys, copy, argparse
import random
from algs.DQN import create_dqn
from algs.a2c import A2C
from algs.ddpg import DDPG
import time
import logging
import os.path
logger = logging.getLogger("10703")
logger.setLevel(logging.DEBUG)
formatter = loggin... | himat/CHAPtER | main.py | main.py | py | 7,687 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "logging.Formatter",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "argparse.Argum... |
4559632523 | #dirt.py
import pygame, sys
class Dirt(pygame.sprite.Sprite):
def __init__(self, player, x, y, width, height):
pygame.sprite.Sprite.__init__(self)
self.dirting = False
self.currentSprite = 0
self.player = player
self.x = x
self.y = y
self.width = w... | ev-wilt/Mode-Zero-Racing | dirt.py | dirt.py | py | 2,269 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pygame.sprite",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pyga... |
38823259990 | # -*-coding:utf-8-*-
"""
# File : test_meter_profile.py
# Time ：2021/12/21 14:18
# Author ：cao jiann
# version ：python 3.7
"""
import datetime
from common.HESRequest import *
from common.marker import *
class Test_Meter_Relay_Status:
@smokeTest
def test_read_relay_status_sync(self, reque... | NeonJ/hes-auto-test | testCase/HESIntegration/Relay_Control/test_meter_relay_status.py | test_meter_relay_status.py | py | 3,617 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.datetime.now",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "da... |
44131213868 | import logging
import tempfile
import pytest
from torchsim.core.graph import Topology
from torchsim.core.persistence.loader import Loader
from torchsim.core.persistence.saver import Saver
from torchsim.research.research_topics.rt_1_1_1_one_expert_sp.topologies.mnist_sp_topology import MnistSpTopology
from tests.core.... | GoodAI/torchsim | tests/topologies/test_topologies.py | test_topologies.py | py | 3,781 | python | en | code | 9 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pytest.mark.parametrize",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "tests.test... |
43017352022 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from flask import Flask
from validator import MyRequestValidator
from core import db, oauth
from views import yoloapi
def create_app(settings_override=None):
""" Method for creating and initializing application.
:param settings_override: Dictionary of settin... | brunsgaard/yoloAPI | app.py | app.py | py | 1,166 | python | en | code | 27 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "core.db.init_app",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "core.db",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "core.oauth.init_app",
"line_... |
41840256390 | import urllib.request
from bs4 import BeautifulSoup
import json
import PostScrape
extractedRecords = []
def crawlPagesUpTo(pages):
if int(pages) < 1:
print("Invalid integer.")
return
headers = {'user-agent':'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/62.0.320... | AmIAHuman/RedditScrape | crawler.py | crawler.py | py | 2,519 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "urllib.request.request.Request",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 18,
"usage_type": "name"
},
{
"api_nam... |
13268214313 | from collections import deque
def bfs():
while q1:
x, y, cnt = q1.popleft()
visited[x][y]=cnt
for i in range(4):
nx=x+dx[i]
ny=y+dy[i]
if 0<=nx<r and 0<=ny<c:
if graph[nx][ny] == "X": continue # 돌이면
elif vis... | yygs321/CodingTest | 백준/Gold/3055. 탈출/탈출.py | 탈출.py | py | 1,905 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.deque",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 57,
"usage_type": "call"
}
] |
35114503247 | from flask import Flask, request, jsonify
from flask_cors import CORS, cross_origin
import base64
import replicate
import io
import openai
import os
app = Flask(__name__)
cors = CORS(app)
openai.api_key = os.getenv('OPENAIKEY')
@app.route("/process", methods=['POST'])
@cross_origin()
def process():
picture_data... | AarinSalot/SnapCycleV2Backend | app.py | app.py | py | 1,516 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "openai.api_key",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_... |
34900271586 | from elasticsearch import Elasticsearch, helpers
import json
import argparse
parser = argparse.ArgumentParser()
#required args
parser.add_argument('--api_key', dest='api_key', required=True)
parser.add_argument('--cloud_id', dest='cloud_id', required=True)
args = parser.parse_args()
print("Init elasticsearch connec... | lio-p/workshop-search-app-15-min | index_es.py | index_es.py | py | 848 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "elastics... |
72685200224 | from typing import List
class Solution:
def findMaxLength(self, nums: List[int]) -> int:
zero_count = 0
one_count = 0
# current count for each number
counts = [(0, 0)]
# difference of one_count - zero_count
diff_count_map = {0: 0}
for i, num in enumerate(nu... | daviddwlee84/LeetCode | Python3/Array/ContiguousArray/HT525.py | HT525.py | py | 938 | python | en | code | 15 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
29039633150 | from hashlib import md5
from itertools import count
from typing import Iterable
def mining(prefix) -> Iterable[tuple[int, str]]:
for i in count():
yield i, md5((prefix + str(i)).encode('ascii')).hexdigest()
line = open('04_input.txt').readline().strip()
for i, hash in mining(line):
if hash.startswi... | tkirill/adventofcode | 2015/python/04_The_Ideal_Stocking_Stuffer.py | 04_The_Ideal_Stocking_Stuffer.py | py | 479 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "itertools.count",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "typing.Iterable",
"line_number": 6,
"usage_type": "name"
}
] |
18630519442 |
from models.RainbowModel import RainbowModel
import tensorflow as tf
import tensorflow.keras as keras
import utils.settings as settings
class ResNetModel(RainbowModel):
def _create_model(self):
n_feature_maps = 64
window_size = settings.data_dimension_dict["window_size"]
n_feature... | Deep-Learning-as-a-Service/EvA | src/models/ResNetModel.py | ResNetModel.py | py | 4,144 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "models.RainbowModel.RainbowModel",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "utils.settings.data_dimension_dict",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "utils.settings",
"line_number": 15,
"usage_type": "name"
},
{... |
10181162192 | import configparser
from openpyxl import load_workbook,Workbook
from wordcloud import WordCloud
import matplotlib.pyplot as plt
def find_dimensions(wb,sheets,header_rows = 3,header_columns = 2): # common
i = 0
j = 0
dimensions = {}
for ws in sheets :
i = 0
j = 0
while wb[ws].ce... | abhilashreddyy/NLP_project | code/common_code.py | common_code.py | py | 2,089 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "wordcloud.WordCloud",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "... |
71935524383 | import glob
import logging
import os
from cros.factory.probe.lib import probe_function
from cros.factory.utils.arg_utils import Arg
DEFAULT_FILE_KEY = 'file_raw'
def ReadFile(path, binary_mode=False, skip=0, size=-1):
logging.debug('Read file: %s', path)
if not os.path.isfile(path):
return None
mode = 'r... | arccode/factory | py/probe/functions/file.py | file.py | py | 2,663 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "logging.debug",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "cros.factory.probe.lib.prob... |
27329514121 | import sys
import Qt.QtWidgets as QtWidgets
import pytest, unittest.mock as mock
import gazu
from tests.fixtures import fixtures
import kitsupublisher.ui_data.table_headers as headers
from kitsupublisher.views.TasksTab import TasksTab
from kitsupublisher.views.MainWindow import MainWindow
def mock_table_functions()... | cgwire/kitsu-publisher-deprecated | tests/test_taskstab.py | test_taskstab.py | py | 3,487 | python | en | code | 11 | github-code | 7 | [
{
"api_name": "gazu.user",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "unittest.mock.MagicMock",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "unittest.mock",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "tests.fixtures.f... |
3658945152 | from django.shortcuts import render, redirect
from profiles.forms import ContactForm
def Contact(request):
user = request.user
if request.method == 'POST':
form = ContactForm(request.POST)
confirm = False
if form.is_valid():
instance = form.save(commit = False)
... | rohitrajput-42/Socialize | profiles/views/contact.py | contact.py | py | 697 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "profiles.forms.ContactForm",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 26,
"usage_type": "call"
},
{
"api_n... |
5171516066 | """
py311
hdpoorna
"""
# import packages
import os
import imageio
import cv2
from datetime import datetime
from pongWrapper import *
import numpy as np
import tensorflow as tf
from helpers import config
from helpers.dqn_helper import *
# make the env
env = PongWrapper(render_mode="rgb_array", points_per_episode=confi... | hdpoorna/q-learning | Pong/test.py | test.py | py | 1,680 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "helpers.config.POINTS_PER_EPISODE",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "helpers.config",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "helpers.config.NUM_ACTIONS",
"line_number": 21,
"usage_type": "attribute"
},
{
... |
777858366 | import numpy as np
import pandas as pd
from sklearn.metrics import classification_report,confusion_matrix
from sklearn.model_selection import train_test_split
from matplotlib import pyplot as plt
import pickle
import dill
from sklearn.preprocessing import StandardScaler
from sklearn.neighbors import KNeighborsClassifie... | JanGorczynski/Forest-classification-project | ML_models.py | ML_models.py | py | 9,534 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 22,
"usage_type": "cal... |
30854565533 | import sys
from collections import Counter
def count_overlaps(lines, straight_only=True):
intersections = Counter()
for (x1, y1), (x2, y2) in lines:
ix = -1 if x1 > x2 else 1 if x2 > x1 else 0
iy = -1 if y1 > y2 else 1 if y2 > y1 else 0
if straight_only and ix != 0 and iy != 0:
... | vaultah/aoc2021 | 05.py | 05.py | py | 797 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.Counter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readlines",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 29,
"usage_type": "attribute"
}
] |
46266438877 | import cksmet.io
from matplotlib.pylab import *
import pandas as pd
import seaborn as sns
import scipy.stats
def _boxes():
boxes = [
dict(name="Hot Jupiters", per1=1.0, per2=10, prad1=8, prad2=24),
dict(name="Warm Jupiters", per1=10, per2=100, prad1=8, prad2=24),
dict(name="Cool Jupiters", ... | California-Planet-Search/cksmet | cksmet/ttest.py | ttest.py | py | 4,113 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.DataFrame",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "cksmet.io.io.load_table",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "cksmet.io.io",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "cksmet.io"... |
17823871888 | from django.db import models
class CategoryFood(models.Model):
name = models.CharField(
max_length=75,
verbose_name='название',
)
is_publish = models.BooleanField(default=False)
def __str__(self):
return self.name
class Meta:
verbose_name = 'category'
... | Alexandra-vic/Menu_tz | menu/models.py | models.py | py | 1,566 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.db.models.Model",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "... |
13153310906 | import math
import pygame
import numpy as np
import sys
from golf_game.constants import *
from golf_game.utils import *
from . import objects
class Physic(objects.GameObject):
GRAVITY = 9.81 * 100 # gravity * meter (in pixels)
AIR_RESISTANCE = 0.99
def __init__(self, pos):
super().__init__(pos)... | Havilash/Golf-Game | golf_game/game_objects/physics.py | physics.py | py | 4,073 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "math.cos",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": 94,
"usage_type": "call"
},
{
"api_name": "math.sin",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "math.radians",
"line_number": 95,
... |
20465607903 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
import pymysql.cursors
from config import *
import datetime
from D_data_transfer.MongoManager import *
class MysqlManager(object):
def __init__(self, user, pwd, db):
"""
对象初始化，针对同一个对象只创建一次mysql连接以及游标
"""
self.connection = pymysql.connect(h... | Mustafa974/DataWarehouse | ETLscript/D_data_transfer/MySQLManager.py | MySQLManager.py | py | 3,471 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "pymysql.cursors.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "pymysql.cursors.cursors",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "... |
12218059931 | from tkinter import colorchooser
from tkinter import ttk
from typing import Optional, Any
import customtkinter as ct
import networkx as nx
import seaborn as sns
from matplotlib import pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from facadeController import FacadeController
class Pl... | Jwizzed/Equalize | plotFrame.py | plotFrame.py | py | 22,875 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "customtkinter.CTkToplevel",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "facadeController.FacadeController",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 26,
"usage_type": "name"
},
{
"api_n... |
19845533314 | import os
import elasticsearch
os.environ["DJANGO_SETTINGS_MODULE"] = "ccproject.settings"
import django
django.setup()
from post.models import Post
from listings.models import Listings
ELASTICSEARCH = elasticsearch.Elasticsearch(hosts=["127.0.0.1:9200"])
from django.conf import settings
def handle_document(lis... | fpSpindola/Villagescc_new_ui | listing_migration.py | listing_migration.py | py | 2,778 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "os.environ",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.setup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "elasticsearch.... |
71620111903 | import pandas as pd
from pymongo import MongoClient
from DataIntegration import clean_data
CONNECTION_STRING = "mongodb://127.0.0.1:27017"
# create MongoDB connection
def get_database():
client = MongoClient(CONNECTION_STRING)
return client['campionato_seriea']
def initialize_db():
# get the db referen... | graziamargarella/campionato_seriea_mongodb | basi_dati_II_campionato/InitDatabase.py | InitDatabase.py | py | 1,002 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "DataIntegration.clean_data",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pandas... |
36783457260 | import pandas as pd
import numpy as np
import math
import re
from datetime import date, datetime, timedelta
def open_neighborhoods():
df = pd.read_csv('SF_neighborhoods.csv')
print("Neighborhoods dataset opened.")
return df
def get_neighborhoods(df):
neighborhoods = []
num_neighborhoods = len(df.... | CBProgramming/crime-prediction | Scripts pre-Jupyter transition/Preparing business data 2.py | Preparing business data 2.py | py | 1,851 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pandas.to_datetime",
... |
14197321575 | # from pudb import set_trace; set_trace()
from typing import List
import math
class Solution1:
def sumEvenAfterQueries(self, nums: List[int], queries: List[List[int]]) -> List[int]:
"""LeetCode 985
Straightforward solution. Follow the instructions and analyze each
query on its own.
... | FanchenBao/leetcode | 2022_09_challenge/09_21_2022.py | 09_21_2022.py | py | 1,690 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 32,
"usage_type": "name"
}
] |
26043185659 | from apps.common.models import ObjectSubscribe
from django.contrib import messages
from django.contrib.contenttypes.models import ContentType
from django.contrib.sites.models import Site
from django.core.urlresolvers import reverse
from django.http import HttpResponseRedirect
from django.shortcuts import get_object_or_... | modamania/otdohni | apps/blog/views.py | views.py | py | 2,564 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "blog.models.Post.objects.live",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "blog.models.Post.objects",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "blog.models.Post",
"line_number": 17,
"usage_type": "name"
},
{
"api_... |
70765165984 | from django.conf.urls import url
from django.contrib import admin
import views
urlpatterns = [
url(r'^$', views.index),
url(r'main$', views.main),
url(r'register$', views.register),
url(r'login$', views.login),
url(r'logout$', views.logout),
url(r'friends$', views.friends),
url(r'user/join/... | tj3407/FriendList | apps/friend/urls.py | urls.py | py | 447 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.index",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "views.main",
... |
27386321485 | from datetime import datetime, timedelta
import es
import time
from save_data import save_to_databse
def main():
categories = es.get_categories()
start = time.time()
num_of_days = 7
for i in range(num_of_days):
curret_date = datetime.now()
curret_date = curret_date.replace(hour=23, min... | CounterHate/stats_counter | total_category_count.py | total_category_count.py | py | 1,192 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "es.get_categories",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
11967047806 | from enum import Enum, auto
import trueskill
A_WIN_RANK = [0, 1]
B_WIN_RANK = [1, 0]
MATCH_THRESHOLD = 15 # min number of matches to play before displaying player level
class Result(Enum):
ALPHA_WIN = auto()
BETA_WIN = auto()
class Player:
def __init__(self, environment: trueskill.TrueSkill, player_i... | AdamW19/LaunchBot | modules/power_level.py | power_level.py | py | 3,733 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "enum.Enum",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "enum.auto",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "enum.auto",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "trueskill.TrueSkill",
"line_number"... |
24562270867 | """Test OpenAI Chat API wrapper."""
import json
from typing import Any
from unittest.mock import MagicMock, patch
import pytest
from langchain_core.messages import (
AIMessage,
FunctionMessage,
HumanMessage,
SystemMessage,
)
from langchain_community.adapters.openai import convert_dict_to_message
from ... | langchain-ai/langchain | libs/community/tests/unit_tests/chat_models/test_openai.py | test_openai.py | py | 3,215 | python | en | code | 68,990 | github-code | 7 | [
{
"api_name": "langchain_community.chat_models.openai.ChatOpenAI",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "langchain_community.chat_models.openai.ChatOpenAI",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pytest.mark.requires",
"line_number": 18,... |
30237269623 | import os
from werkzeug import utils
from flask import Flask, request, Response, jsonify,render_template,redirect, url_for
from tensorflow import keras
from PIL import Image
import numpy as np
app= Flask(__name__)
model = keras.models.load_model("./modelplant.h5")
# app.add_url_rule(rule="/", endpoint="homepage",... | Zeo-shark/Plant-Medic-Crop-Disease-Detection-App | PlantMedic-Web/crop_disease_model_app/app.py | app.py | py | 5,374 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_n... |
28052887349 | """실행하면 드라이버 작동하면서 터미널이 막히는데, 끄고싶으면 ctrl + c누르면 됨
"""
import time
from selenium import webdriver
browser = webdriver.Chrome("./chromedriver.exe") #파이썬이 실행되고 있는 폴더에 chromedriver설치되어있으면 괄호안에 아무것도 안써도되고, 이렇게 써도됨. 다른 폴더에있으면 그 폴더 주소 써줘야함.
#1. 네이버로 이동
browser.get("http://naver.com")
#2. 로그인 버튼 클릭
elem = brow... | LearninMC/Toy_project | webscrapping_basic/13_selenium.py | 13_selenium.py | py | 2,990 | python | ko | code | 0 | github-code | 7 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 22,
"usage_type": "call"
}
] |
25867786955 | from django.shortcuts import render
from django.http import HttpResponseRedirect
from app.models import AgendaMaster
from django import forms
from .forms import AgendaForm
def home_page(request):
my_title = "Hello there"
context = {"title": my_title}
return render(request, "home.html", context )
def... | marcoagpegoraro/django-crud-test | app/views.py | views.py | py | 1,648 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "app.models.AgendaMaster.objects.all",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "app.models.AgendaMaster.objects",
"line_number": 16,
"usage_type": "attribute... |
46155446934 | from fastapi import Depends, FastAPI, HTTPException, Request
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import HTMLResponse, JSONResponse
from fastapi.staticfiles import StaticFiles
from fastapi.exceptions import RequestValidationError
from sqlalchemy.orm import Session
import datetime
f... | junah201/HanSungHyuk | backend/app/main.py | main.py | py | 1,977 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "app.database.models.Base.metadata.create_all",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "app.database.models.Base",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "app.database.models",
"line_number": 17,
"usage_type": "name"
... |
70222292385 | import csv
import json
import requests
import matplotlib as plt
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
urlBTC = "https://api.coincap.io/v2/assets/bitcoin/history?interval=d1"
urlETH = "https://api.coincap.io/v2/assets/ethereum/history?interval=d1"
urlSOCKS = "https://api.coincap.io/v2/... | maks01vac/oop_university | csv_practic/main.py | main.py | py | 1,925 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number... |
1716170661 | import argparse
import os.path
import encodedcc
import sys
from urllib.parse import quote
EPILOG = '''
For more details:
%(prog)s --help
'''
def getArgs():
parser = argparse.ArgumentParser(
description=__doc__, epilog=EPILOG,
formatter_class=argparse.RawDescriptionHelpFormatter,
)
... | T2DREAM/pyencoded-tools | examples/3919_eclip_mock_targets.py | 3919_eclip_mock_targets.py | py | 3,606 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "argparse.RawDescriptionHelpFormatter",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.path.expanduser",
"line_number": 29,
"usage_type": "call"
},
... |
24558902987 | import os
import warnings
from typing import Any, Dict, List, Optional
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.callbacks import BaseCallbackHandler
from langchain_core.outputs import LLMResult
from packaging.version import parse
class ArgillaCallbackHandler(BaseCallbackHandler)... | langchain-ai/langchain | libs/community/langchain_community/callbacks/argilla_callback.py | argilla_callback.py | py | 14,820 | python | en | code | 68,990 | github-code | 7 | [
{
"api_name": "langchain_core.callbacks.BaseCallbackHandler",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 64,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 65,
"usage_type": "name"
},
{
"api_... |
37477786546 | import numpy as np
import re
import matplotlib.pyplot as plt
import matplotlib as mpl
plt.rcParams["font.family"] = "Times New Roman"
mpl.rcParams['xtick.direction'] = 'in'
mpl.rcParams['ytick.direction'] = 'in'
fontsize = 9
mpl.rcParams['axes.labelsize'] = fontsize
mpl.rcParams['xtick.labelsize'] = fontsize... | Jeffrey-Ede/partial-STEM | misc/partial_hists.py | partial_hists.py | py | 2,703 | python | en | code | 11 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.rcParams",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name"... |
34046971367 | from solana.publickey import PublicKey
from solana.keypair import Keypair
from solana.rpc.async_api import AsyncClient
from solana.rpc.commitment import Confirmed
from solana.rpc.types import TxOpts
from solana.transaction import Transaction
import solana.system_program as sys
from spl.token.constants import TOKEN_PRO... | solana-labs/solana-program-library | stake-pool/py/spl_token/actions.py | actions.py | py | 1,984 | python | en | code | 2,433 | github-code | 7 | [
{
"api_name": "solana.rpc.async_api.AsyncClient",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "solana.keypair.Keypair",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "solana.publickey.PublicKey",
"line_number": 18,
"usage_type": "name"
},
{
... |
28038697745 | import discord
from discord.ext import commands
from discord.ui import Button, View, Modal
from random import randrange
from src import config as conf
from src.util import permissions
class ModmailModal(Modal):
name = discord.ui.TextInput(label = "Subject")
issue = discord.ui.TextInput(label = "Content", style... | Better-Cpp/Better-C-Bot | src/cogs/modmail.py | modmail.py | py | 3,311 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "discord.ui.Modal",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "discord.ui.TextInput",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "discord.ui",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "discord.ui.TextInp... |
31508757306 | # Dummy version of autoacl.py, for test cases.
from twisted.python import log
DC_ONCALL_ID = '17'
def autoacl(dev, explicit_acls=None):
"""A simple test case. NYI"""
acls = set()
log.msg('[%s]: Adding auto ACLs' % dev)
if dev.vendor == 'juniper':
log.msg('[%s]: Adding 115j' % dev)
acl... | 1982League/trigger | tests/data/autoacl.py | autoacl.py | py | 608 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "twisted.python.log.msg",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "twisted.python.log",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "twisted.python.log.msg",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "twis... |
37487481454 | import os
import shutil
import stat
import time
from pathlib import Path
import pandas as pd
import psutil
def bytes_conversion(size):
"""
字节符号转换
:param size: 字节大小（B）
:return:
"""
symbols = ('KB', 'MB', 'GB', 'TB', 'PB', 'EB', 'ZB', 'YB')
prefix = dict()
for i, s in enumerate(symbols,... | siyue-zds/python_files | processing/files.py | files.py | py | 7,530 | python | zh | code | 0 | github-code | 7 | [
{
"api_name": "psutil.disk_partitions",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.name",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "os.name",
"line_... |
72078891102 | import aioredis
import uvicorn
from fastapi import FastAPI, HTTPException, Depends
from fastapi_limiter import FastAPILimiter
from fastapi_limiter.depends import RateLimiter
from models import User, Verification
from database import addVerification, emailTaken, authCodeTaken, verify, \
idTaken
app = FastAPI()
#... | ohseagg/Verification-API | main.py | main.py | py | 1,745 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "aioredis.create_redis_pool",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "fastapi_limiter.FastAPILimiter.init",
"line_number": 18,
"usage_type": "call"
},
{
"ap... |
43734116065 | import telebot
import conversation
import config
import markup
import cherrypy
from db_functions import add_user, is_exsist, get_cash, change_user_state, get_user_state, clear_user_state
from db_functions import setup_user_operation, get_all_coin_id, get_coin_cost, get_coin_name, get_all_user_coin
from db_functions imp... | mockingbird12/Crypto_bot | main.py | main.py | py | 5,784 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "telebot.TeleBot",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "config.token",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "conversation.coin_count",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "conver... |
14195922775 | # from pudb import set_trace; set_trace()
from typing import List
from functools import lru_cache
class Solution1:
def combinationSum4(self, nums: List[int], target: int) -> int:
"""377
TLE!!
"""
res = []
N = len(nums)
def helper(cur: List, cur_target: int) -> Non... | FanchenBao/leetcode | 2021_04_challenge/04_19_2021.py | 04_19_2021.py | py | 2,804 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "functools.lru_cache",
"line_nu... |
30535924132 | from html.parser import HTMLParser
import re
import random
from django.db import connection
import scrapy
import os
import json
import copy
from ..items import UserItem
from urllib import parse
class CeshiSpider(scrapy.Spider):
name = 'ceshi'
# allowed_domains = ['baidu.com']
# start_urls = ['https://www.ba... | SMAteam/Spider | scrapy_test/scrapy_test/spiders/ceshi.py | ceshi.py | py | 6,840 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "scrapy.Spider",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"l... |
16970039076 | from flask import Flask, jsonify, request
import json
app = Flask(__name__)
f = open('receipts.json')
# returns JSON object of the data
# in this case it will be a list of dictionaries
data = json.load(f)
def dump_data():
with open('receipts.json', 'w') as outfile:
json.dump(data, outfile)
@app.route(... | fewdw/flask-apis | flaskTest/app.py | app.py | py | 1,882 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 20,
... |
27917644909 | import pya
from pya import Point, DPoint, Vector, DVector, DSimplePolygon, SimplePolygon, DPolygon, Polygon, Region
from classLib import *
from sonnetSim.matlabClient import MatlabClient
from sonnetSim.pORT_TYPES import PORT_TYPES
import time
import numpy as np
import csv
class SonnetPort:
def __init__(self, poi... | shamil777/KLayout-python | sonnetSim/sonnetLab.py | sonnetLab.py | py | 9,602 | python | en | code | 16 | github-code | 7 | [
{
"api_name": "pya.Point",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pya.DPoint",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "sonnetSim.matlabClient.MatlabClient",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "sonnetSim.ma... |
18114523640 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('imager_profile', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Album',
fields=[
... | ndraper2/django-imager | imagersite/imager_images/migrations/0001_initial.py | 0001_initial.py | py | 2,566 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
30557578632 | from datetime import datetime
from todoist_cli.model import Model
from todoist.api import TodoistAPI
from todoist_cli.util.config import Config
from todoist_cli.util.time import Time
from re import match
class Todoist(Model):
_instance = None
_init = False
def __init__(self):
if Todoist._init:
... | nemupm/todoist-cli | todoist_cli/model/todoist.py | todoist.py | py | 6,409 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "todoist_cli.model.Model",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "todoist.api.TodoistAPI",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "todoist_cli.util.config.Config",
"line_number": 20,
"usage_type": "call"
},
{
"api_... |
29369873691 | """empty message
Revision ID: 2f696fa6cac7
Revises: f02d9c90dca8
Create Date: 2019-10-24 17:11:17.268373
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '2f696fa6cac7'
down_revision = 'f02d9c90dca8'
branch_labels = None
depends_on = None
def upgrade():
# ... | tiilt-lab/chemistry-dashboard | server/migrations/versions/2f696fa6cac7_.py | 2f696fa6cac7_.py | py | 671 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Boolean... |
17104229580 | import os
from pathlib import Path
from glob import glob
import uuid
def class_with_path(prefix="alv_", delete_file_extension=""):
def inner(Cls):
old_init = Cls.__init__
def new_init(self, *args, **kwargs):
if "data_path" not in kwargs:
raise ValueError("must pass dat... | MiniXC/Alv | Alv/utils.py | utils.py | py | 1,035 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
... |
25949119197 | #=====================================
# Automation Component;
# AWS to Linux Deployment Run Book
# -- Isaac Yep
#=====================================
import boto3
import sys
import os
import json
'''
This script automates uploads files to S3 buckets
in lieu of the process documented here:
https://cylance.atlassia... | anthonybench/Easy-S3 | tobucket.py | tobucket.py | py | 4,360 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "boto3.Session",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "boto3.Session",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 85,... |
17179702910 | """`Dependency` providers example."""
import sqlite3
import contextlib
import dependency_injector.providers as providers
class UsersService:
"""Example class UsersService.
UsersService has dependency on DBAPI 2.0 database connection.
"""
def __init__(self, database):
"""Initialize instance... | miniyk2012/leetcode | interestings/dependency_injector/dependency/example.py | example.py | py | 2,505 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "sqlite3.dbapi2",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "contextlib.closing",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "contextlib.closing",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "contextlib.... |
39810826383 | import cv2 as cv
face_cascade = cv.CascadeClassifier(
r"D:\PROJELER\Python\YuzTanima\classifier\haarcascade_frontalface_default.xml")
img = cv.imread(r"D:\PROJELER\Python\YuzTanima\photos\muratcan.jpg")
gray = cv.cvtColor(img, cv.COLOR_BGR2RGB)
faces = face_cascade.detectMultiScale(gray,1.1,4)
for(x,y... | muratcanbalci/Python-Yuz-Tanima | YuzTanima/main.py | main.py | py | 449 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2RGB",
"l... |
27516643917 | #!/usr/bin/env python3
import sys
import itertools
def geuss_maping(states, refStates, rules, refRules, initState, endStates):
if sorted(rules) == sorted(refRules):
return (sorted(rules), sorted(states), initState, sorted(endStates))
more = list(set(states) - set(refStates))
less = list(set(refSta... | marusak/School | FLP/dka2mka/normalize.py | normalize.py | py | 2,515 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "itertools.product",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_nu... |
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