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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
73961134759 | from flask import Flask, render_template, request
app = Flask(__name__)
@app.route("/")
def index():
title = "Signos LTDA"
return render_template("index.html", title=title)
@app.route("/signo_chines")
def chines():
title = "Signo Chinês"
return render_template("signo_chines.html",title=title)
if __n... | LucasRibeiroRJBR/Signos | app.py | app.py | py | 368 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 13,
"usage_type": "call"
}
] |
74925088039 | import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(1, 2, 100)
y = x**3 + 2*x*x - 6
plt.plot(x, y, color="blue", linewidth=2.0, linestyle='-',label="cosine")
# Establecer limites
plt.xlim(x.min() * 0.9, x.max() * 1.1)
plt.ylim(y.min() * 0.9, y.max() * 1.1)
## Moviendo los ejes al centro
ax = plt.g... | Byhako/python | graficas/wgrafica.py | wgrafica.py | py | 997 | python | es | code | 1 | github-code | 18 | [
{
"api_name": "numpy.linspace",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplo... |
26095948508 | import argparse
import json
import os
# from pprint import pprint
from typing import Tuple
import ebooklib
from ebooklib import epub
from gensim import summarization
from pkgs.utils import config_system
# load paths, books dictionaries
paths_dict = config_system.load_paths_config()
books_dict = config_system.load_bo... | AmarCodes-22/audino | scripts/summarize.py | summarize.py | py | 7,237 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pkgs.utils.config_system.load_paths_config",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pkgs.utils.config_system",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pkgs.utils.config_system.load_books_config",
"line_number": 15,
"usag... |
23791799593 | import os
import logging
import getpass
import platform
import sys
from datetime import datetime, timedelta
class LogFileCreationError( Exception ):
"""
This is my custom exception class to be thrown when there is an error when creating a log file
Arguments:
Exception {[type]} -- [description]
... | Jpifer13/RasPi-Kubernetes-Cluster-Controller | src/logging/LoggingUtils.py | LoggingUtils.py | py | 4,247 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.NOTSET",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "getpass.getuser",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "platform.node",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.n... |
19688322782 | from django.contrib import admin
from .models import Course, CourseTranslation
class CourseTranslationInline(admin.TabularInline):
model = CourseTranslation
fields = ('locale', 'title', 'description')
ordering = ('locale',)
min_num = 2
extra = 0
@admin.register(Course)
class CourseAdmin(admin.M... | ahlsunnah/learn-islam-django | learn_islam/courses/admin.py | admin.py | py | 569 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.contrib.admin.TabularInline",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "models.CourseTranslation",
"line_number": 7,
"usage_type": "name"
},
{
... |
25169119844 | # Copyright (C) 2023 by Nikodem "Med0kin" Kuliś
# This file is part of the intentsCreator project,
# and is released under the "MIT License Agreement".
# Please see the LICENSE file that should have been included
# as part of this package.
import json
def new_json() -> dict:
intents = {
"inten... | Med0kin/intentsCreator | json_maker.py | json_maker.py | py | 4,146 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.load",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 26,
"usage_type": "call"
}
] |
34834295230 | import time
from lib.loss_interface import LossInterface
from lib.loss_interface import Loss
class DeepfaceeditingLoss(LossInterface):
def __init__(self, args):
super(DeepfaceeditingLoss,self).__init__(args)
def get_loss_G(self, G_dict):
L_G = 0.0
if self.args.W_recon:
L_re... | doublejy715/deepfaceediting-pytorch | deepfaceediting/loss.py | loss.py | py | 2,665 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "lib.loss_interface.LossInterface",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "lib.loss_interface.Loss.get_cycle_loss",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "lib.loss_interface.Loss",
"line_number": 12,
"usage_type": "name"
... |
30035300178 | # import sys
# sys.path.insert(0, '/home/liheng/Desktop/protocol')
from core import Contract_pb2
import grpc
import api_pb2_grpc
import Tron_pb2
import api_pb2
from pprint import pprint
class GrpcServer:
"""
grpc:通过protocbuf协议生成grpc.py文件,调用对应的功能接口
"""
# def __init__(self, config):
# self.conf... | IUYsongyaya/protocol | protocol1/api/grpc_server.py | grpc_server.py | py | 5,939 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "api_pb2.EmptyMessage",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "grpc.insecure_channel",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "api_pb2_grpc.WalletStub",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "Tr... |
3769906323 | from typing import Optional
from simnet.client.components.diary.base import BaseDiaryClient
from simnet.models.genshin.diary import Diary
from simnet.utils.enum_ import Game
class GenshinDiaryClient(BaseDiaryClient):
"""Genshin diary component."""
async def get_genshin_diary(
self,
player_id... | PaiGramTeam/SIMNet | simnet/client/components/diary/genshin.py | genshin.py | py | 972 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "simnet.client.components.diary.base.BaseDiaryClient",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 15,
"usage_type": "name"
},
{
... |
21760642458 | #!/usr/bin/python3 -OO
"""
Provides left and right hand prompts for zshell.
Additionally a top line filling whole length of the terminal can be drawn. The output of this
command is expected to be piped to `source /dev/stdin`.
"""
from os import getenv
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
... | gilbus/python-prompt | async_prompt.py | async_prompt.py | py | 13,277 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.getenv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "enum.unique",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "os.getenv",
"line_number": 113,
... |
35199527213 | import pygame
from ClsMenu import *
import sys
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BOARD) #Define pinagem física (outra opção BCM)
GPIO.setup(8, GPIO.IN, pull_up_down = GPIO.PUD_DOWN)
GPIO.setup(10, GPIO.IN, pull_up_down = GPIO.PUD_DOWN)
GPIO.setup(40, GPIO.IN, pull_up_down = GPIO.PUD_DOWN)
class Game():
#Ta... | edumoromi/gameterapia | ClsGame_Mao.py | ClsGame_Mao.py | py | 7,811 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "RPi.GPIO.setmode",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "RPi.GPIO",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "RPi.GPIO.BOARD",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "RPi.GPIO.setup",
"line... |
73517908200 | """ProjectPSIT2017"""
import pandas as pd
import pygal
def main():
"""ReadData & Plotgraph"""
chart = pygal.Bar(title=' Total Imported Value ')
datalist = []
address = 'C:/Users/weerapat/Documents/GitHub/Main_Psit_Project2017/Data/ImportedValue.csv'
data = pd.read_csv(address)
datalist.append(da... | ITFSTUDENT191/Main_Psit_Project2017 | ForWeb/Code/Imported_Value.py | Imported_Value.py | py | 809 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygal.Bar",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
}
] |
7210757783 | from typing import List
class Solution:
def uncommonFromSentences(self, s1: str, s2: str) -> List[str]:
words = dict()
for word in s1.split():
count = words.get(word, 0)
words[word] = count +1
for word in s2.split():
count = words.get(word, 0)
... | verybada/leetcode | algorithm/python/UncommonWordsFromTwoSentences/solution.py | solution.py | py | 520 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
73912860200 | import os
from beanie import init_beanie
from motor.motor_asyncio import AsyncIOMotorClient
from db.item import Item
from db.record import Record
async def init():
client = AsyncIOMotorClient(os.environ["MONGO_CONNECTION_STRING"])
await init_beanie(database=client.lego, document_models=[Item, Record])
asy... | Loupeznik/lego-price-tracker | db/database.py | database.py | py | 898 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "motor.motor_asyncio.AsyncIOMotorClient",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "beanie.init_beanie",
"line_number": 12,
"usage_type": "call"
},
{
"api_nam... |
74741750441 | import logging
from gi.repository import GObject, Gtk
import yumex.common.const as const
from yumex.common import _, ngettext
from yumex.gui.views.packagequeue import PackageQueue
logger = logging.getLogger("yumex.gui.views")
class QueueView(Gtk.TreeView):
__gsignals__ = {
"queue-refresh": (GObject.Sig... | timlau/yumex-dnf | src/yumex/gui/views/queueview.py | queueview.py | py | 5,790 | python | en | code | 60 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gtk.TreeView",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "gi.repository.Gtk",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "gi... |
32531606809 | ### Movie-pairs
####################
import sys,time
from pyspark import SparkConf, SparkContext
from math import sqrt
## Settings
scoreThreshold = 0.97
coOccurenceThreshold = 50
movieID = 50
simstrengthCut = 200
def loadMovieNames():
'''
Makes a dict of movie ids and na... | atulkakrana/Data-Analytics | spark-similar_movies.py | spark-similar_movies.py | py | 3,667 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "math.sqrt",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 72,
... |
13085007626 | import argparse
import logging
import os.path
from time import sleep
from socket import AF_INET, SOCK_STREAM, socket
from const import *
from response import Response, CacheContent
from request import Request
from multiprocessing.dummy import Pool as ThreadPool
from multiprocessing import cpu_count
class Worker:
... | dmtrbrlkv/otus_python_hw4 | app/httpd.py | httpd.py | py | 3,377 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "socket.socket",
"line_number": 17,
"usage_type": "argument"
},
{
"api_name": "logging.exception",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 23,
"usage_type": "argument"
},
{
"api_name": "socket.socket.c... |
4349020285 | from utils import get_centroids, get_cossim, calc_loss
import torch
import torch.nn as nn
import torch.nn.functional as F
class FeatureExtractionCNN(nn.Module):
def __init__(self, input_size, num_classes):
super(FeatureExtractionCNN, self).__init__()
self.conv1 = nn.Conv1d(in_channels=1, out_chann... | Keitoran75/PiezoBuds | conv1dClassify.py | conv1dClassify.py | py | 8,933 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv1d",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_numb... |
26861401538 | #Dictionaries Challenge 25: Code Breakers App
from collections import Counter
print("Welcome to the Code Breakers App")
#list of elements to remove from all text for analysis
non_letters = ["1", "2", "3", "4", "5", "6", "7", "8", "9", "0", " ", ".", "?", "!", ",", '"', "'", ":", ";", "(", ")", "%", "$", "&", ... | MarcelNeumeier/Python-Apps | Code Breakers App.py | Code Breakers App.py | py | 5,759 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.Counter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 61,
"usage_type": "call"
}
] |
71133277799 | #%%
import numpy as np
import math
from scipy.signal import convolve2d
from numpy.core.fromnumeric import transpose
#%%
def to255(X):
return (((X-X.min())/(X.max()-X.min()))*255).astype(np.int16)
def RMSE(x, y):
"""
RMSE on single spectral
"""
return np.sqrt(np.mean(np.power(x - y, 2... | gulubao/SelfS2-Demo | utils/RefeIqa.py | RefeIqa.py | py | 2,359 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.int16",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number"... |
17342901024 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('software', '0011_auto_20170305_2022'),
]
operations = [
migrations.RemoveField(
model_name='chatting',
... | EsmondCho/catchme | software/migrations/0012_auto_20170305_2028.py | 0012_auto_20170305_2028.py | py | 531 | python | en | code | 0 | github-code | 18 | [
{
"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.RemoveField",
"line_number": 14,
"usage_type": "call"
},
... |
71580247079 | # Used many of the code from: https://github.com/kingosticks/mopidy-tunein/blob/master/mopidy_tunein/tunein.py
try:
import xml.etree.cElementTree as elementtree
except ImportError:
import xml.etree.ElementTree as elementtree
import re
import urlparse
from urllib import urlencode
from Helper import Helper
fro... | dernico/mediaschlingel | apis/tunein.py | tunein.py | py | 14,087 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "Factory.StreamModelFactory.createFromTunein",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "Factory.StreamModelFactory",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "Factory.StreamModelFactory.createFromStreamJson",
"line_number": 41,
... |
12582370361 | # @author: Gautam Patel
# Problem Description URL: https://www.hackerrank.com/challenges/super-reduced-string/problem
#!/bin/python3
import math
import os
import random
import re
import sys
from itertools import groupby
# Complete the superReducedString function below.
def superReducedString(s):
old_s = s
new... | gautambp/HackerRank | Master/python3/super-reduced-string.py | super-reduced-string.py | py | 764 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "itertools.groupby",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 27,
"usage_type": "attribute"
}
] |
25879441252 | import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import pickle
def loadData(filepath, lowerbound, upperbound):
with open(filepath, 'rb') as file:
data = pickle.load(file)
positions = data['positions']
times = data['time']
new_p... | schmidt12335/data_analysis | 15cm_means_pressurechange.py | 15cm_means_pressurechange.py | py | 2,400 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pickle.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "numpy.ones",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 1... |
12038823656 | import logging
import os
from optparse import make_option
from django.core.management.base import CommandError
from multiprocessing import Pool, cpu_count
from softwarecollections.management.commands import LoggingBaseCommand
from softwarecollections.scls.models import OtherRepo
logger = logging.getLogger(__name_... | sclorg/softwarecollections | softwarecollections/scls/management/commands/sclotherrepos.py | sclotherrepos.py | py | 1,642 | python | en | code | 68 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "softwarecollections.management.commands.LoggingBaseCommand",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "softwarecollections.management.commands.LoggingBaseCommand.option_li... |
30432922609 | # -*- coding: utf-8 -*-
"""
Created on Thu Jan 23 17:28:54 2014
@author: cesar zamora
"""
import numpy as np
from scipy.spatial import Delaunay
n = 100
points = np.zeros((n,2))
for i in range(0,n): #genera n puntos aleatorios dentro del cir de radio 1
point = np.array([1.,1.])
while np.linalg.norm(point) >... | czammar/eit_thesis | src/aux_programs/mesh_prueba.py | mesh_prueba.py | py | 1,555 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_nu... |
73250169960 | # -*- coding: utf-8 -*-
"""
parrot plugin: Sends out messages to MUC or JID.
"""
__author__ = "Petr Morávek (xificurk@gmail.com)"
__copyright__ = ["Copyright (C) 2007 Kevin Smith",
"Copyright (C) 2009-2011 Petr Morávek"]
__license__ = "GPL 3.0"
__version__ = "0.5.0"
import logging
log = logging.g... | xificurk/keelsbot | plugins/parrot.py | parrot.py | py | 1,649 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
}
] |
26595780102 | import json
import os
import requests
import time
from kafka import KafkaProducer
def fetch() -> dict:
endpoint = 'https://api.coindesk.com/v1/bpi/currentprice.json'
res = requests.get(endpoint)
res_json = json.loads(res.text)
return res_json
def clean_record(raw: dict) -> dict:
return {
... | Masamerc/kakfa-stream-simple-app | stream-producer/producer.py | producer.py | py | 962 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "kafka.KafkaProducer",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"lin... |
4813182473 | # Verdi GUI is a small tool to interface with a Coherent Verdi laser through Serial
# Verdi GUI is distributed under the MIT Expat License
from PyQt4 import QtCore, QtGui
import os, serial, sys, time
from win32event import CreateMutex
from win32api import CloseHandle, GetLastError
from winerror import ERROR_ALREADY_EX... | lsav/verdi-gui | VerdiGUI.py | VerdiGUI.py | py | 26,049 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.path.insert",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "serial.Serial",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "serial.serialutil",
"... |
28108407450 | #!/usr/bin/env python3
from Crypto.Cipher import AES
import requests
import time
import string
def encrypt(payload):
url = "http://aes.cryptohack.org/ecb_oracle/encrypt/"
r = requests.get(url + payload + '/')
return r.json()['ciphertext']
def print_blk(hex_blks, sz):
for i in range(0, len(hex_blks), sz... | onealmond/hacking-lab | cryptohack/ecb-oracle/ecb_oracle.py | ecb_oracle.py | py | 1,076 | python | en | code | 72 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "string.digits",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "string.ascii_lowercase",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "string.asc... |
12653892252 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import os
import sys
sys.path.append('../../../..')
import argparse
import math
import cv2
import numpy as np
import csv
import glob
import yaml
import pickle
from multiprocessing import Pool
import... | iidango/tangologger | manual_alignment/test/alignment/align2d_search.py | align2d_search.py | py | 23,250 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "logging.Formatter",
"... |
9699895558 | """Action Handler Module."""
from collections import deque
from ..context import context
from ._action import Action, HandlerAction, ReversibleAction
class ActionHandler:
"""Action Handler Class.
Implements action execution and Undo/Redo functionality.
"""
DEFAULT_MAX_UNDO = 100
def __init__(s... | thetacom/hexabyte | hexabyte/actions/action_handler.py | action_handler.py | py | 1,510 | python | en | code | 185 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "_action.ReversibleAction",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "collections.deque",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "_action.... |
75118377959 | #!/usr/bin/python3
# COMP3311 22T3 Assignment 2
# Print a list of character roles played by an actor/actress
import sys
import psycopg2
### Globals
db = None
usage = f"Usage: {sys.argv[0]} FullName"
### Command-line args
if len(sys.argv) < 2:
print(usage)
exit(1)
# process the command-line args ...
name =... | cinnamenn/comp3311-database | assignment 2/roles.py | roles.py | py | 1,802 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "psycopg2.connect",
"lin... |
37403430758 | # KunShan Assignment 6
# q1a
def natureNumbers(n: int) -> None:
def natureNumber(n: int) -> None:
if n <= 1:
print('1', end=' ')
else:
natureNumber(n - 1)
print(n, end=' ')
natureNumber(n)
print()
# q2a
def alt(s: str, t: str) -> str:
if len(s) == 0 ... | Methane-Kun/DePaul_CODE | CSC401/codes/Kun_Shan_Assign_6.py | Kun_Shan_Assign_6.py | py | 1,278 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "matpl... |
21475176877 | from pathlib import Path
from unittest.mock import mock_open, patch
from gen_unit_tables import write_unit_table
def test_write_unit_table(snapshot):
with patch.object(Path, "open", mock_open()) as mock_open_file:
write_unit_table(filename=Path())
lines = [
args[0] for args in mock_open_file... | MDAnalysis/UserGuide | doc/source/scripts/tests/snapshot/test_gen_unit_tables.py | test_gen_unit_tables.py | py | 478 | python | en | code | 21 | github-code | 18 | [
{
"api_name": "unittest.mock.patch.object",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "unittest.mock.patch",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "unittest... |
26195096700 | import pprint
import pandas as pd
from sklearn.metrics import roc_auc_score, average_precision_score
def score_counter(val, y_true, y_pred):
scores = {
"TP": 0,
"FP": 0,
"TN": 0,
"FN": 0
}
for i in range(len(y_pred)):
if y_pred[i] == val:
... | PhlipPhlops/covid_ICU_prediction | custom_classification_report.py | custom_classification_report.py | py | 3,191 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.DataFrame",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.roc_auc_score",
"line_number": 96,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.average_precision_score",
"line_number": 97,
"usage_type": "call"
}
] |
26291546653 | import coloredlogs, logging
coloredlogs.install(fmt='%(levelname)7s %(asctime)s %(hostname)s %(message)s')
import numpy as np
import matplotlib.pyplot as plt
# a combination of different randoms
Bn = 256
Sn = 80
A = np.concatenate((np.random.randn(Bn) * 0.2 + 8, np.random.randn(Bn) * 3 - 10, np.random.randn(Bn), np... | maeola/mnist-gan | sample.py | sample.py | py | 727 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "coloredlogs.install",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random.randn",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random"... |
25988547643 | import os
import argparse
import json
import numpy as np
import torch
from utils.util import get_mask_mnr, get_mask_bm, get_mask_rm
from utils.util import find_max_epoch, print_size, sampling, calc_diffusion_hyperparams
from imputers.DiffWaveImputer import DiffWaveImputer
from imputers.SSSDSAImputer import SSSDSAImpu... | AI4HealthUOL/SSSD | src/inference.py | inference.py | py | 7,925 | python | en | code | 183 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
17071824422 | import os
import re
import itertools
import logging
import pandas as pd
from slugify import slugify
from labonneboite.conf import settings
from labonneboite.common import mapping as mapping_util
from labonneboite.common import hiring_type_util
from labonneboite.common import geocoding
from labonneboite.common.search i... | StartupsPoleEmploi/labonneboite | labonneboite/scripts/prepare_mailing_data.py | prepare_mailing_data.py | py | 8,721 | python | en | code | 42 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
29583719288 | from typing import List
class Solution:
def permute(self, nums: List[int]) -> List[List[int]]:
self.result = []
self.list = []
self.backtrack(nums)
return self.result
def backtrack(self, nums):
if len(nums) == len(self.list):
self.result.append(self.list[:])
... | HALF-MAN/lt | python/46. Permutations.py | 46. Permutations.py | py | 515 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 3,
"usage_type": "name"
}
] |
36244186025 | import json
import src.data_loaders as module_data
import torch
from pytorch_lightning import seed_everything, Trainer
from torch.utils.data import DataLoader
from train import ToxicClassifier
def initialize_trainer(CONFIG):
seed_everything(1234)
device = torch.device("cuda" if torch.cuda.is_available() else... | unitaryai/detoxify | tests/test_trainer.py | test_trainer.py | py | 1,873 | python | en | code | 755 | github-code | 18 | [
{
"api_name": "pytorch_lightning.seed_everything",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 12,
"usage_type": "call"
},
{
"api_name":... |
9402629135 | import sys
from git import Repo, GitCommandError # type: ignore
import requests
from requests import Response
from src.filepath import ROOT_PATH
from src.migration.migrator import Migrator, _Version
from src.logger_handler import LoggerHandler
from src import FUTURE_PYTHON_VERSION
from src.utils import restart_progra... | AndreWohnsland/CocktailBerry | src/updater.py | updater.py | py | 4,445 | python | en | code | 51 | github-code | 18 | [
{
"api_name": "src.logger_handler.LoggerHandler",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "src.filepath.ROOT_PATH",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "git.Repo",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "git.... |
3491399771 | from collections import defaultdict
from functools import reduce
def solution(clothes):
type = defaultdict(int)
for cloth in clothes:
type[cloth[1]]+=1
return reduce(lambda x, y: x * y, [i+1 for i in type.values()])-1
print(solution([["yellow_hat", "headgear"], ["blue_sunglasses", "eyewear"], ... | rachel5004/Algorithm | Programmers/Hash/Camouflage.py | Camouflage.py | py | 668 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"line_number": 7,
"usage_type": "call"
}
] |
70406585961 | import pygame
import little_ship_function as function
from little_ship_setting import Setting
from little_ship_ship import Little_ship
from pygame.sprite import Group
from rect import Rect
'''这是一个小飞船的游戏'''
def game_run():
pygame.init()
settings = Setting()
screen = pygame.display.set_mode(
(sett... | RyanLin1995/python | PythonLearning/小游戏/little_ship/little_ship_game.py | little_ship_game.py | py | 840 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "little_ship_setting.Setting",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygam... |
4166689297 | import os
import math
from urllib.parse import urlencode
import pandas as pd
import numpy as np
from ulttb import downsample
from bottle import abort
import config
class App():
def __init__(self, *args, **kwargs):
# set up output dir
if not os.path.exists(config.APP_CONFIG["OUTPUT_DIR"]):
... | ceos-coverage/coverage-data-downsampler | src/app.py | app.py | py | 6,449 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "config.APP_CONFIG",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
... |
18377329765 | from django.shortcuts import render,redirect
from django.views.generic import ListView,DetailView,TemplateView,CreateView
from car_rent import settings
from main.models import Car,CarClass,Images,AboutUs,Contacts,CarMarka,SendList
from main.forms import OrderDataForm
from django.urls import reverse_lazy
from threading... | Agil89/car_rent | car_rent/main/views.py | views.py | py | 3,358 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "main.models.Car",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "main.models.CarClass.objects.all",
"line_number": 25,
"usage_type": "call"
},
{
"ap... |
22313595999 | import streamlit as st
import datetime as DT
import pandas as pd
def gsc_data_work(df, site_url, days_selector, days_ago):
try:
#df = webproperty.query.search_type(search_type).range('today',days=days_ago).dimension('date', 'page').get().to_dataframe()
df['date'] = pd.to_datetime(df['dat... | Fruall/google_search_console_streamlit | functions.py | functions.py | py | 1,095 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.to_datetime",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.to_numeric",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.to_numeric",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.date.... |
30116134759 | #! usr/bin/env python
from sys import argv
from os.path import exists
import simplejson as json
script, in_file, out_file = argv
data = json.load(open(in_file))
usable = data["data"]["list"]
geojson = {
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry" : {
... | QuanShuang/QuanSHUANG.github.io | resources/transformer.py | transformer.py | py | 658 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "simplejson.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "simplejson.dump",
"line_number": 28,
"usage_type": "call"
}
] |
23032622319 | import PySimpleGUI as sg
import planar_projection
import obj_reader
import workarounds
def RGB_2_HEX(x: tuple):
return f"#{x[0]:02x}{x[1]:02x}{x[2]:02x}"
def refresh_view(RENDER_MODE):
canvas: sg.Graph = window['-GRAPH-']
canvas.erase()
points = my_camera.project_object(my_object)
if RENDER_M... | EdwardChamberlain/PySimpleGUI-3D-Viewer | src/main.py | main.py | py | 3,778 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "PySimpleGUI.Graph",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "obj_reader.import_obj",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "planar_projection.Camera_3D",
"line_number": 62,
"usage_type": "call"
},
{
"api_name... |
37057050301 | import configuracion
import vdb_generado
import utiles
import criticidades
import logging
import requests
import re
import time
from threading import Thread
class Iterador_Nessus_Vdb(Thread):
conf = configuracion.Configuracion()
componente = None
columnas_fijas = None
environmental_im... | DanielPastorMiguel/VDBauto | nessus_iterador.py | nessus_iterador.py | py | 24,498 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "threading.Thread",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "configuracion.Configuracion",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.log",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "utiles.get_n... |
40904234499 | import torch
import torch.nn as nn
from torchvision import models
from torch.nn import functional as F
def get_backbone(name, pretrained=True):
""" Loading backbone, defining names for skip-connections and encoder output. """
# loading backbone model
if name == 'resnet18':
backbone = models.resne... | vkola-lab/unaah | models/networks/UNaah.py | UNaah.py | py | 11,124 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "torchvision.models.resnet18",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torchvision.models.resnet34",
"line_number": 14,
"usage_type": "call"
},
{
"api_na... |
72672049321 | import pandas as pd
import numpy as np
from ACME.utils import clean_list
from ACME.ACME_function import computeACME, build_feature_exploration_table, predictACME
from ACME.ACME_plot import ACME_summary_plot, feature_exploration_plot, ACME_barplot_multicalss
from ACME.ACME_anomaly_detection import build_anomaly_detectio... | dandolodavid/ACME | ACME/ACME.py | ACME.py | py | 19,035 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "numpy.setdiff1d",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "ACME.utils.clean_list",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"... |
15325764249 | from tkinter import *
import webbrowser
import backend
from pygame import mixer
import pygame
class Frontend(object):
def __init__(self,window):
self.window = window
self.bk = backend.Backend()
myfont = ('New Times Roman', 18)
#Create Labels
self.lbl = Label(master=window,... | saraponton/MusicDatabase | frontend.py | frontend.py | py | 4,456 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "backend.Backend",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "webbrowser.open",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "webbrowser.open",
"line_number": 116,
"usage_type": "call"
},
{
"api_name": "pygame.init",
"... |
14589018975 | ###Main module for OCR API application###
from __future__ import print_function
import os
import sys
import subprocess
import json
from PIL import Image
import logging
from flask import jsonify
from fuzzywuzzy import fuzz
from fuzzywuzzy import process
#configure pyhton logging module for log creation
logging.basicCo... | elisaper/OCR | ocr/__init__.py | __init__.py | py | 4,498 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"li... |
22050702469 | #!/usr/bin/env python
"""
Simple script to check availability of new docker images from hub.docker.com
"""
import docker
from helpers import mylogger
client = docker.from_env()
def get_name(image):
"""
Get image name from "image" object
"""
name = image.attrs["RepoDigests"][0]
name = name.split(... | andrejgorin/Docker | docker_checker.py | docker_checker.py | py | 1,164 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "docker.from_env",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "helpers.mylogger.info",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "helpers.mylogger",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "helpers.mylogge... |
4713544705 | import json
import os
import scipy
from Evaluation import Evaluation
from OptimizationProblems import initialize_optimization_problem
from OptimizationTask import optimization_task
from billiard import Pool
from celery import Celery
from utils.Datatypes import OptimizationParameters
from utils.Logger import MyLogger
... | Merck/mRNAid | backend/flask_app/tasks.py | tasks.py | py | 2,381 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "utils.Logger.MyLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "celery.Celery",
"line_n... |
38927447570 | #
# @lc app=leetcode id=27 lang=python3
#
# [27] Remove Element
#
# @lc code=start
from typing import List
class Solution:
def removeElement(self, nums: List[int], val: int) -> int:
length = len(nums)
index = 0
for i in range(length):
if nums[i] != val:
... | huhudev-git/leetcode | 27.remove-element.py | 27.remove-element.py | py | 523 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
}
] |
72152729641 | from django.urls import path
from . import views
urlpatterns = [
path(
"transactions/",
views.TransactionViewSet.as_view({"get": "get"}),
name="transactions",
),
path(
"statements/",
views.StatementViewSet.as_view({"get": "get", "post": "post"}),
name="state... | briancaffey/django-postgres-vue-gitlab-ecs | backend/apps/banking/urls.py | urls.py | py | 337 | python | en | code | 60 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 11,
"usage_type": "call"
}
] |
2745645617 | # -*- coding: utf-8 -*-
import base64
import json
import os
import os.path
import shutil
import socket
import sys
import tarfile
import tempfile
import unittest
import pytest
import six
from docker.api.client import APIClient
from docker.constants import IS_WINDOWS_PLATFORM
from docker.errors import DockerException
... | ksshanam/docker-py | tests/unit/utils_test.py | utils_test.py | py | 38,166 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
25804874451 | # coding:utf-8
import tornado.ioloop
import tornado.httpserver
import tornado.options
import logging
from tornado.options import define, options
from tornado import web
from tornado import gen
from tornado.web import authenticated, RequestHandler
import os
import json
from tornado.gen import coroutine
define("port",... | morya/dockerfile-tornado | web/w.py | w.py | py | 1,705 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tornado.options.define",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "tornado.options.define",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tornado.web.RequestHandler",
"line_number": 20,
"usage_type": "name"
},
{
"api_name... |
4828526137 | import string
import re
import pickle
from nltk.corpus import stopwords
from stemming.porter2 import stem
import networkx as nx
from tqdm import tqdm
def ProcessAmazon(save_data_path):
"""
This function opens the Amazond data as a text file.
The loop allows us to store the relevant products metadata into... | mathieutardy/LinkPrediction | text2dict.py | text2dict.py | py | 3,513 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tqdm.tqdm",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "re.escape",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "string.digits",
"line_number": 62,... |
42435086688 | import logging
import os
import tempfile
import unittest
from google.cloud.dataflow import version
from google.cloud.dataflow.worker import environment
class EnvironmentTest(unittest.TestCase):
def create_temp_file(self, path, contents):
with open(path, 'w') as f:
f.write(contents)
return f.name
... | volnt/DataflowPythonSDK | google/cloud/dataflow/worker/environment_test.py | environment_test.py | py | 1,808 | python | en | code | null | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "tempfile.mkdtemp",
... |
69897038762 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import os.path
import warnings
warnings.simplefilter("ignore", UserWarning)
import sys
import argparse
import pandas as pd
import pickle
from nltk.corpus import stopwords
stop_words = set(stopwords.words('english'))
from sklearn.preprocessing import MultiLabelBinarizer... | kilicogluh/CONSORT-TM | svm/predict.py | predict.py | py | 2,732 | python | en | code | 11 | github-code | 18 | [
{
"api_name": "warnings.simplefilter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 16,
"usage_type": "name"
},
{
"api_name":... |
29219065414 | import argparse
import json
import logging
import os
import time
from logging.handlers import RotatingFileHandler
import requests
import urllib3
from influxdb import InfluxDBClient
from mb8600.modem import MB8600
urllib3.disable_warnings()
logger = logging.getLogger()
logger.setLevel(logging.INFO)
formatter = loggi... | xNinjaKittyx/mb8600 | data_export.py | data_export.py | py | 4,124 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "logging.... |
33994937308 | #This Code Just Flips The Images Used For Flipping The Left to Make Right For Data Augumentation Purpose
import os
from PIL import Image
path_of_the_directory= './data/left'
st = "right"
count = 226
x = 206
print("Files and directories in a specified path:")
for filename in os.listdir(path_of_the_directory):
... | 174414-Rodda/AngryGrannyAI | DataColection/Flipper.py | Flipper.py | py | 669 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.open",
"line_number... |
71427482600 | # This Python 3 environment comes with many helpful analytics libraries installed
# It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python
# For example, here's several helpful packages to load in
import numpy as np # linear algebra
import pandas as pd # data processing, CSV fil... | aorursy/new-nb-3 | jagdish2386_understanding-confusion-matrix.py | jagdish2386_understanding-confusion-matrix.py | py | 2,554 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "s... |
23744490389 | import os
import ujson as json
import pytups as pt
import pandas as pd
import datetime
import numpy as np
def read_json(filename):
with open(filename, 'r') as f:
return json.load(f)
def _treat_stop_area(one_stop):
get_line_time = lambda v: (v['line']['shortName'], v['dateTime'])
return pt.TupList... | pchtsp/transport_api | TisseoR/analize_tisseo.py | analize_tisseo.py | py | 14,649 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "ujson.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pytups.TupList",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_num... |
3962913657 | from core import base
from core.db import Base, session_scope
from core.auth import Auth
from sqlalchemy import Column, Integer, String
class Perform(Base):
__tablename__ = 'perform'
id = Column(Integer, primary_key=True)
bot_id = Column(String)
pline = Column(String)
@classmethod
def list_li... | DempDemp/nautilus | core/perform.py | perform.py | py | 2,879 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "core.db.Base",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.Column"... |
44179376744 | import os
print(os.getcwd())
from uuid import uuid4
import cgi, types
from json import loads, dumps
from copy import deepcopy
from urllib import parse as urlparse
from gevent.pywsgi import WSGIServer
import gevent
from views import (
home, user_list,
update_user, not_found_page,
)
from mod... | GingerLee11/practice-webapi | api/server.py | server.py | py | 3,818 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.getcwd",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "models.Session",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "models.User",
"line_number": 34,
"usage_type": "argument"
},
{
"api_name": "models.User",
"line_numbe... |
189241944 | from tensorflow.keras.optimizers import Adam
from imports import *
import cnn
import batchprep
import keras.backend as K
from tensorflow.keras.callbacks import ReduceLROnPlateau
from keras.models import model_from_json
from pydub import AudioSegment
import matplotlib.cm as cm
from matplotlib.colors import Nor... | Rodeanugd/mgr-cnn | backend/predictsong.py | predictsong.py | py | 2,673 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "keras.models.model_from_json",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pydub.AudioSegment.from_mp3",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pydub.AudioSegment",
"line_number": 33,
"usage_type": "name"
},
{
"api_n... |
37679763872 | import unittest
from compare_args import compare_args
from utils import broken_fact, add, plus_broken
from math import factorial
class TestCompareArgs(unittest.TestCase):
def test_compare_args_broken_fact(self):
self.assertEqual(
compare_args(broken_fact, factorial, [(0,), (1,), (5,)]),
... | Kehrlann/python-functions | test_compare_args.py | test_compare_args.py | py | 590 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "compare_args.compare_args",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utils.broken_fact",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": ... |
26516624235 | from typing import Dict, Union
from acme import types
from acme.adders.reverb import base
import jax
import jax.numpy as jnp
import numpy as np
import tree
def zeros_like(x: Union[np.ndarray, int, float, np.number]):
"""Returns a zero-filled object of the same (d)type and shape as the input.
The difference betw... | deepmind/acme | acme/adders/reverb/utils.py | utils.py | py | 2,859 | python | en | code | 3,100 | github-code | 18 | [
{
"api_name": "typing.Union",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.number",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.number",
... |
35268345483 | # Green lines signify a significant level of resistance. Usually occurs once a stock hits a ATH and then rests and
# consolidates for a couple of months
import yfinance as yf
import datetime as dt
import pandas as pd
from pandas_datareader import data as pdr
yf.pdr_override()
start_date = dt.datetime(1980, 12, 1)
now... | judgedreadnaught/IntroToFinance | GreenLineBreakoutCalc.py | GreenLineBreakoutCalc.py | py | 1,955 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "yfinance.pdr_override",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "datetime... |
9608995003 | from django.db.models import Q
from django.shortcuts import render
# Create your views here.
from gym.models import Gym
def search(request):
q = request.GET.get('q')
print(q)
context = {
'q': q,
'gym_results': Gym.objects.filter(Q(name__icontains=q) |
... | TobWul/Koble | home/views.py | views.py | py | 595 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "gym.models.Gym.objects.filter",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "gym.models.Gym.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "gym.models.Gym",
"line_number": 13,
"usage_type": "name"
},
{
"api_name... |
7431389060 | from pdf2image import convert_from_path
from pathlib import Path
file_path = "./pdf_files/others/eng1.pdf"
# file_path = "./pdf_files/jobi-1.pdf"
# file_path = "./pdf_files/right-blue-1.pdf"
import fitz
doc = fitz.open(file_path)
page = doc[0]
height = page.rect.height
width = page.rect.width
print(width)
print(... | bahaminabbasi/pdfminer | pdftoimage.py | pdftoimage.py | py | 1,215 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fitz.open",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pdf2image.convert_from_path",
"line_number": 25,
"usage_type": "call"
}
] |
37896502385 | from __future__ import unicode_literals
#-*- coding: utf-8 -*-
"""
Models for the Agave hosted identity service. LdapUser model borrows heavily
from the django-ldapdb example model.
"""
__author__ = 'jstubbs'
from django.conf import settings
from ldapdb.models.fields import CharField, IntegerField
import ldapdb.model... | agaveplatform/pyprofiles-api | agave_id/service/models.py | models.py | py | 2,164 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "ldapdb.models.fields.models",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "ldapdb.models.fields",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.LDAP_BASE_SEARCH_DN",
"line_number": 21,
"usage_type": "attrib... |
26965426456 | import numpy as np
import matplotlib.pyplot as plt
from sklearn.preprocessing import OneHotEncoder
import copy
from models.decisiontree import DecisionTree
from utils import perf_metrics_2X2, plot_confusion_matrix
class AdaBoost:
def __init__(self, n_estimators=None, base_estimator=None):
if n_estimators is None:... | Subangkar/Machine-Learning-CSE-472-BUET | Assignment-1/Adaboost/models/adaboost.py | adaboost.py | py | 4,305 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "models.decisiontree.DecisionTree",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "sklearn.prep... |
16529571450 | from sentinelsat import SentinelAPI
from collections import OrderedDict
import pandas as pd
import time
tic = time.time()
""" login """
user = "rsfuzzy_1"
password = "Qwezxc789Qwezxc789"
api = SentinelAPI(user, password)
""" querry prepare """
producttype = "S2MSI1C"
# producttype = "S2MS2Ap" # doesn't work
# p... | kiarash-borooshan/sentinel-download-by-tiles | SentinelDownByTile.py | SentinelDownByTile.py | py | 4,474 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sentinelsat.SentinelAPI",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "collections.OrderedD... |
9187168032 | import sys
sys.stdin = open('bj1761.txt','r')
from collections import deque
def LCA(x,y):
if Depth[x]>Depth[y]:x,y=y,x
for i in range(20,-1,-1):
if Depth[y]-Depth[x]>=1<<i:y=Par[y][i]
if x==y:return x
for i in range(20,-1,-1):
if Par[x][i]!=Par[y][i]:
x=Par[x][i]
... | choo0618/TIL | algoritm/20상반기 코딩테스트/정점들의 거리/bj1761.py | bj1761.py | py | 1,004 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.stdin",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 24,
"usage_type": "call"
}
] |
17998357353 | """main"""
def main():
"""main docx"""
import json
txt = json.loads(input())
lim = float(input())
human = [i for i in txt]
human = sorted(list(filter(lambda num: int(txt[num]) >= lim, human)))
if human == []:
print("Nope")
return
_ = [print(human[i], "%.2f"%txt[human[i]],... | docxed/codeEjust | Filter.py | Filter.py | py | 368 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 5,
"usage_type": "call"
}
] |
71908582120 | import logging
import numpy as np
import pandas as pd
from utils import printColors
import matplotlib.pyplot as plt
logger = logging.getLogger("appLogger")
class Interraction:
__export = None
__graph = None
def __init__(self, databaseInstance):
self.__export = Export(databaseInstance)
se... | Pierre-Jean-Descarpentries/INF34515---Projet-en-informatique | src/visualize.py | visualize.py | py | 13,371 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "utils.printColors.FAIL",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "utils.printColors",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "utils.... |
16909595994 | import cv2
from camera import CameraThread
def get_cameras():
max_tested = 100
for i in range(max_tested):
temp_camera = cv2.VideoCapture(i)
if temp_camera.isOpened():
temp_camera.release()
continue
return i
class CameraEnv:
def __init__(self, env):
self.en... | AlexanderKhazatsky/household_robots | robot_control/camera_env_wrapper.py | camera_env_wrapper.py | py | 543 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "camera.CameraThread",
"line_number": 18,
"usage_type": "call"
}
] |
14470126362 | from dataclasses import dataclass
from time import time
# each social channel has a type
# and the current number of followers
# SocialChannel = tuple[str, int]
@dataclass
class SocialChannel:
channel_type: str
followers: int
# each post has a message and the timestamp when it should be posted
# Post = tuple... | Daniechka/software-mindset | doings/ex5.py | ex5.py | py | 1,967 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "dataclasses.dataclass",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "time.time",
"line_number": 50,
"usage_type": "call"
}
] |
34361592287 | from .. import models,schema
from fastapi import FastAPI, HTTPException,Depends,status,APIRouter
from sqlalchemy.orm import Session
from ..database import get_db
router=APIRouter(
tags=['post']
)
#read all posts
@router.get("/posts")
def view_posts(db: Session=Depends(get_db)):
posts = db.query(models.Post).al... | Amani-kintsugy/pet | app/routers/post.py | post.py | py | 1,486 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "fastapi.Depends",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "database.get_... |
75329304999 | from __future__ import print_function
###########################################
# Matplotlib support
###########################################
ENABLE_PLOTTING=1 # Disable plotting if running on a machine without matplotlib
# ... | MITHaystack/CorrelX | src/cx2d_lib.py | cx2d_lib.py | py | 109,308 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "imp.reload",
"line_number": 214,
"usage_type": "call"
},
{
"api_name": "imp.reload",
"line_number": 219,
"usage_type": "call"
},
{
"api_name": "imp.reload",
"line_number": 229,
"usage_type": "call"
},
{
"api_name": "imp.reload",
"line_number": 2... |
13680834724 | #!/usr/bin/env python3
import os
import configparser
import logging
import datetime
import shutil
import time
import pexpect
import paramiko
"""
python3 -m pip install -U pip setuptools
"""
logging_file = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'run.log')
logging.basicConfig(filename=logging_file, le... | ulimit65535/mysqlbackup | main.py | main.py | py | 11,376 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line... |
17173536100 | # -*- coding: utf-8 -*-
import math
import torch
from torch import nn
from torch import optim
# Variational Auto Encoder
class VAE(nn.Module):
def __init__(self, latent_dim, input_dim, hidden_dim=200, device='cpu'):
"""
Standart model of VAE with ELBO optimization.
Args:
laten... | Intelligent-Systems-Phystech/DeepGenerativeModels | src/DeepGenerativeModels/AutoEncoders.py | AutoEncoders.py | py | 14,142 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
1997812239 | import re, sys
from pathlib import Path
import subprocess as sp
# load the path of d4j_scripts
d4j_scripts_Path = Path('../../d4j_scripts').resolve()
sys.path.append(str(d4j_scripts_Path))
sys.path.append(str(d4j_scripts_Path / 'd4j_ori'))
from defects4j import *
from d4j_info import *
d4jBuggyProjDirPath = Path('../... | mutrepair/BenchmarkingAPR | tools/npr4j/checkEditsPatches.py | checkEditsPatches.py | py | 8,181 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_n... |
42481317031 | import torch
from torchvision.datasets import MNIST, CIFAR10
import torchvision.transforms as transforms
from torch.utils.data import Dataset, DataLoader
import numpy as np
from utils.dataset_utils import DatasetCache, DatasetSubset, TransformDataset
class BanditDataset(Dataset):
def __init__(self, contexts, acti... | davidbrandfonbrener/deep-offline-bandits | utils/data.py | data.py | py | 7,170 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.save",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "torchvision.datasets.CI... |
23819326263 | from pickletools import optimize
import sys, os
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))))
import torch
from torch.utils.data import DataLoader
import pickle
from rdkit import Chem
from rdkit import rdBase
from tqdm import tqdm
from Dataset.get_dataset import get_dat... | ggkong/tfCompared | Script/aae_script/step2_train_aae.py | step2_train_aae.py | py | 21,795 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
40259115927 | import requests
word = input("PLease input the word that you want search for in a Dictionary: ")
url = "https://api.dictionaryapi.dev/api/v2/entries/en/{0}".format(word)
api_response = requests.get(url)
my_dictionary = api_response.json()
for dictionary in my_dictionary:
print(dictionary)
print(f"Word: {dict... | arwavis/MyPyMinds | My Learning-Basics/my_program/dictionary.py | dictionary.py | py | 404 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
}
] |
4863584837 | from keras.datasets import mnist
from keras.layers import MaxPooling2D
#download mnist data and split into train and test sets
(X_train, y_train), (X_test, y_test) = mnist.load_data()
import matplotlib.pyplot as plt
#plot the first image in the dataset
plt.imshow(X_train[0],cmap='gray')
X_train[0].shape
X_train = X_... | taburiss3525/ALM-pro3 | doc/CNN1.py | CNN1.py | py | 2,149 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "keras.datasets.mnist.load_data",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "keras.datasets.mnist",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 8,
"usage_type": "call"
},
{
"api_nam... |
3273092911 | import tensorflow as tf
import numpy as np
from bench.core.executer import Executer
def masks_to_boxes(masks):
"""Compute the bounding boxes around the provided masks
The masks should be in format [N, H, W] where N is the number of masks, (H, W) are the spatial dimensions.
Returns a [N, 4] tensors, with... | DeepLink-org/DLOP-Bench | bench/samples/long_tail/masks_to_boxes/xla_impl.py | xla_impl.py | py | 1,311 | python | en | code | 38 | github-code | 18 | [
{
"api_name": "tensorflow.range",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.range",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tensorflow.... |
22694524382 | import torch
import torchvision
import torchvision.models.detection as models
from torchvision.models.detection.roi_heads import RoIHeads
from torchvision.models.detection import FasterRCNN
from torchvision.models.detection.backbone_utils import resnet_fpn_backbone
from collections import OrderedDict
def build_model... | DongBumKim/Car_Dacon | model.py | model.py | py | 2,809 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torchvision.models.detection.fasterrcnn_resnet50_fpn",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torchvision.models.detection",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torchvision.models.detection.faster_rcnn.FastRCNNPredictor",
... |
3849667342 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# author: Dango Wang
# time : 2019/6/17
import os
import random
from maya import cmds
from DCC_TOOLS.common.dcc_utils import *
from utils.common_methods import *
import maya.mel as mel
import pymel.core as pm
import mel_context
reload(mel_context)
import logging
try:
... | DangoWang/OCTToolkits | DCC_TOOLS/RIG/DsfMyWave/main.py | main.py | py | 11,575 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.path.split",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "maya.cmds.ls",
"line_... |
7998508316 | from KunbaiLib import *
import inspect
import logging
logging.basicConfig(level=logging.DEBUG)
class fp(FileNameParser):
def Log(self, message, *args):
#logging.debug(message, *args)
print(message)
#print()
#parser = FileNameParser("/volume1/personal/videos/GWest/#Asian in West Collection/... | kunbai/p-meta-agent | Contents/Code/test.py | test.py | py | 1,090 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 4,
"usage_type": "attribute"
}
] |
11763109343 | #!/usr/bin/env python
# -*- coding: utf8 -*-
"""
Check whether the xls+hts files in the current directory follow the
specifications at http://hydroscope.gr/, Documents, Data entry
standardization. We check whether the current directory contains a
single .xls or .odt file and whether the accompanying .hts files are
tho... | openmeteo/enhydris-importer | enhydris_importer/management/commands/_hcheck.py | _hcheck.py | py | 7,489 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "xlrd.XL_CELL_NUMBER",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "logging.error",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "xlrd.open_workbook"... |
34000825623 | from cx_Freeze import setup, Executable
exe=Executable(
script='ftp_exact_target.py',
base="Win32Gui",
icon="image/swiss-marketing-knife.ico",
targetName="Swiss Marketing Tool.exe",
#shortcutName="Remove From Mailing List",
#shortcutDir="ProgramMenuFolder",
)
shortcut_table = [
... | dhoy/swiss-marketing-knife | setup.py | setup.py | py | 2,232 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cx_Freeze.Executable",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cx_Freeze.setup",
"line_number": 53,
"usage_type": "call"
}
] |
15878395254 | from django.core.management.base import BaseCommand, CommandError
import csv
import io
from invoicing.UserMigration import migrate
from django.utils.safestring import mark_safe
from django.template.loader import render_to_string
import os
from django.conf import settings
class Command(BaseCommand):
help = 'Closes t... | Charlez91/invoiceapp | src/invoicing/management/commands/migrate_user.py | migrate_user.py | py | 1,831 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "io.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "invoicing.U... |
39728384311 | """ RTMA API MODULE
- This module contains any API based methods that users interact with.
When the library is installed, this is the module users should interact with.
For detailed information on the methods and configuring the library,
please see our Readme on our Github.
https://github.com/RTM... | RTMAAI/CO600-Musical-Analysis | rtmaii/rtmaii.py | rtmaii.py | py | 12,595 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "logging.Formatter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "logging.Stream... |
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