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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9326307274 | import asyncio
import functools
import json
import os
import subprocess
from git import Repo, Actor
from importlib import resources
from mimetypes import guess_type
from shutil import rmtree
from tornado import web, websocket
async def render(basepath: str):
"""Render the project at the given basepath."""
in... | mmh352/ou-content-author | ou_content_author/handlers.py | handlers.py | py | 13,433 | python | en | code | 0 | github-code | 70 | [
{
"api_name": "asyncio.create_subprocess_exec",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "asyncio.create_subprocess_exec",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 18,
"usage_type": "attribute"
},
{
... |
17365224360 | from itertools import product # Biblioteca que realiza arranjos de análise combinatória
import time
# Classe que representa o grafo e realiza todas as operações com ele
class Grafo:
# Método que inicializa a classe
def __init__(self, matriz):
self.matriz = matriz
self.tamanhoCaminho = 0
... | LuanBorges1998/brute_force_mixed_graph_python | grafo.py | grafo.py | py | 4,867 | python | pt | code | 0 | github-code | 71 | [
{
"api_name": "time.time",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 122,
"usage_type": "call"
}
] |
29250254903 | # USB VCP example.
# This example shows how to use the USB VCP class to send an image to PC on demand.
#
# WARNING:
# This script should NOT be run from the IDE or command line, it should be saved as main.py
# Note the following commented script shows how to receive the image from the host side.
#
# #!/usr/bin/env pyth... | FRC7891/INOV8_2020 | vision/openmv_usb_vcp.py | openmv_usb_vcp.py | py | 2,900 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "sensor.reset",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sensor.set_pixformat",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sensor.RGB565",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "sensor.set_frame... |
33054084372 | from dateutil import tz
import datetime
import pytz
import re
pattern = r'^\b(.{4})[:-](.{2})[:-](.{2})\s+(.{2}):(.{2}):(.{2})(Z|([+-])(.{2}):(.{2}))?.*\b$'
class Text2Time:
def __init__(self, text):
match = re.search(pattern, text)
if match:
groups = match.groups()
year... | asarangaram/image_repo | src/utils/text2date.py | text2date.py | py | 2,068 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "re.search",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dateutil.tz.tzlocal",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "dateutil.tz",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "pytz.utc",
"line_number... |
42803728529 | from typing import List
class Solution:
def merge(self, nums1: List[int], m: int, nums2: List[int], n: int) -> None:
'''合并两个有序数组
@Note:
类似归并排序，从后往前
'''
i, j, k = m - 1, n - 1, m + n - 1
if n == 0:
return
while True:
if n... | staillyd/leetcode | leetcode/array/88.py | 88.py | py | 1,008 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
}
] |
28508931252 | # -*- coding: utf-8 -*-
# @Author: Ruban
# @License: Apache Licence
# @File: icdar2013_convert.py
import os
import re
import codecs
import argparse
import numpy as np
parser = argparse.ArgumentParser()
parser.add_argument('--data_dir', type=str, default=r'D:\data\ICDAR2013')
FLAGS = parser.parse_args()... | RubanSeven/CRAFT_keras | converts/icdar2013_convert.py | icdar2013_convert.py | py | 3,039 | python | en | code | 165 | github-code | 71 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
6910654847 | #!/usr/bin/env python
# encoding: utf-8
"""
@author: Mingjun Lei
@file: test_wework.py
@time: 2021/2/26 16:07
@desc: This py file is to test different login scenarios without PO
"""
import json
from time import sleep
import pytest
from selenium import webdriver
from selenium.webdriver.common.by import By
class TestWe... | junevision/WechatWorkTest | Web/testcases/test_wework.py | test_wework.py | py | 2,590 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 22,
"usage_type": "call"
},
{
"api... |
19541490763 | import requests
import json
from random import sample, randint
from datetime import datetime, timedelta
import logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s %(name)s: %(message)s')
if __name__ == "__main__":
logins = ['alex', 'john', 'mike', 'nadya', 'sasha', 'peter', 'fox', 'c... | ml-workteam/de | simulations/generate_users.py | generate_users.py | py | 1,477 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "logging.basicConfig",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "random.sample",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "random.sample",
... |
10515757874 | import scipy.spatial.distance
import numpy as np
def distance(data):
total = 0
num_obs = data.shape[0]
for i in range(num_obs):
for j in range(i+1,num_obs):
total += scipy.spatial.distance.euclidean(data[i],data[j])
return total
def correlation(data):
total = 0
with np.errstate(divide='ign... | theislab/AutoGeneS | autogenes/objectives.py | objectives.py | py | 735 | python | en | code | 53 | github-code | 71 | [
{
"api_name": "scipy.spatial.distance.spatial.distance.euclidean",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.distance.spatial",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "scipy.spatial.distance",
"line_number": 11,
"usage_... |
40303306283 | import argparse
import tempfile
from pathlib import Path
DEFAULT_DIR = Path(tempfile.gettempdir()) / "ya-drone-swarm"
DEFAULT_PROVIDERS = 2
DEFAULT_CPU_QUOTA = 1024
DEFAULT_CPU_SHARES = 0.5 # core percentage
DEFAULT_MEM = 512 # MB
def arg_parser():
parser = argparse.ArgumentParser(prog="ya-drone-swarm")
p... | mfranciszkiewicz/ya-drone-swarm | ya_drone_swarm/cli.py | cli.py | py | 2,560 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "tempfile.gettempdir",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 14,
"usage_type": "call"
}
] |
19122759978 | from enum import Enum
import os
import re
Test.Summary = 'Exercise HTTP CONNECT Method'
Test.ContinueOnFail = True
class ConnectTest:
class State(Enum):
"""
State of process
"""
INIT = 0
RUNNING = 1
def __init__(self):
self.state = self.State.INIT
sel... | apache/trafficserver | tests/gold_tests/connect/connect.test.py | connect.test.py | py | 9,590 | python | en | code | 1,664 | github-code | 71 | [
{
"api_name": "enum.Enum",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 77,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number":... |
38224622231 | from environments.music_world import MusicWorld, CompositionState
from typing import List, Dict
from constants.note import Note, Symbol
from models.music_world_nn import MusicWorldNN
from random import random, choice
import numpy as np
import time
import joblib
import os
import torch
import torch.optim as optim
fr... | franciscovilchezv/eurydice.rl | source/visualizer/music_visualizer.py | music_visualizer.py | py | 9,903 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "environments.music_world.MusicWorld",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "environments.music_world.MusicWorld",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 23,
"usage_type": "name"
},
{
... |
19698282701 | #!/usr/bin/python3
import os, sys
import time
from numpy.random import random
import re
import csv
import json
import requests
from bs4 import BeautifulSoup as bs
#####
# UTILS
#####
def parse_url( url:str ):
'''
Dado un url devuelve objeto parseado de BeautifulSoup
'''
n_attempts=5
for _ ... | vearcon/TDP-espacios-publicos-origenes | scrapers/scraper_meli.py | scraper_meli.py | py | 6,227 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_numb... |
31444407288 | import json
from tqdm import tqdm
print("opening all nodes")
with open("all-nodes.json", "r") as tmp:
allNodes = json.load(tmp)
# shard the giant graph.json file
print("opening graph.json")
with open("graph.json", "r") as tmp:
graph = json.load(tmp)
print("opened graph.json")
assert len(graph.keys()) ... | amanj120/wikilink-coloring | analysis/phase3.py | phase3.py | py | 787 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "json.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 21,
"... |
73976664549 | import matplotlib.pyplot as plt
import numpy as np
from torch import nn, torch
from src.implem.ConvolutionalNeuralFabrics import ConvolutionalNeuralFabric, Out_Layer
from src.networks.StochasticSuperNetwork import StochasticSuperNetwork
from src.utils.drawers.BSNDrawer import BSNDrawer
plt.switch_backend('agg')
cla... | TomVeniat/bsn | src/implem/BudgetedSuperNetwork.py | BudgetedSuperNetwork.py | py | 3,470 | python | en | code | 25 | github-code | 71 | [
{
"api_name": "matplotlib.pyplot.switch_backend",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "src.networks.StochasticSuperNetwork.StochasticSuperNetwork",
"line_number": 12,
"usage_t... |
6092421412 | from setuptools import setup, find_packages
README = open('README.rst').read()
setup(name="tornwamp",
author="Tatiana Al-Chueyr Martins",
author_email="tatiana.alchueyr@gmail.com",
classifiers=[
'Development Status :: 4 - Beta',
'Environment :: Web Environment',
'Intended A... | ef-ctx/tornwamp | setup.py | setup.py | py | 1,240 | python | en | code | 7 | github-code | 71 | [
{
"api_name": "setuptools.setup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 27,
"usage_type": "call"
}
] |
30453456925 | import os
import json
import requests
import time
import storage
OPEN_WEATHER_KEY = os.getenv('OPEN_WEATHER_KEY')
AIRNOW_API_KEY = os.getenv('AIRNOW_API_KEY')
FINHUB_API_KEY = os.getenv('FINHUB_API_KEY')
def time_since_last_fetch():
if "last_fetch" in storage.cache:
return time.time() - float(storage.cac... | timboldt/epaper-display | rpi/python/net.py | net.py | py | 4,239 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "os.getenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "storage.cache",
"line_number": 13,
... |
10231804257 |
from rest_framework import serializers
from apps.users.models import User
class UserSerializerToken(serializers.ModelSerializer):
class Meta:
model = User
fields = ('username', 'email', 'name', 'last_name')
class UserSerializer(serializers.ModelSerializer):
class Meta:
model = Use... | sebasflorez16/agro-rest | apps/users/api/serializers.py | serializers.py | py | 1,087 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "apps.users.models.User",
"line_number": 11,
"usage_type": "name"... |
19726083848 | import numpy as np
import scipy.linalg as sla
import time
import matplotlib.pyplot as plt
def sweep(n, a, b, c, f):
alpha = np.zeros(n + 1)
beta = np.zeros(n + 1)
x = np.zeros(n)
for i in range(n):
d = a[i] * alpha[i] + b[i]
alpha[i + 1] = -c[i] / d
beta[i + 1] = (f[i] - a[i] * beta[i]) / d
x[n - 1] = bet... | NaylyaZh99/numeric_methods | lab1/sweep.py | sweep.py | py | 1,420 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.zeros",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 20,... |
10970860330 | import matplotlib.pyplot as plt
import numpy as np
import time
class DynamicUpdate():
plt.ion()
#Suppose we know the x range
min_x = 0
max_x = 2*3.1415926536
min_y = -1.5
max_y = 1.5
def on_launch(self):
#Set up plot
self.figure, self.ax = plt.subplots()
... | msarvinen/python-examples | plot-dynamic/dynaplot.py | dynaplot.py | py | 1,733 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "matplotlib.pyplot.ion",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matp... |
31072980158 | import pymongo
from utils.nextButton import processManage
from utils.db import mongo_client
def getWebSiteNameList(database):
myclient = pymongo.MongoClient("mongodb://localhost:27017")
dblist = myclient.list_database_names()
if "cloud_academic" not in dblist:
print("数据库不存在！")
return 0
... | defender-dhy/News-data-acquisition-system | mongo/utils.py | utils.py | py | 2,094 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "pymongo.Mo... |
38110076648 | from django.shortcuts import render, get_object_or_404, redirect, reverse
from .forms import ReviewForm
from .models import Reviews
from django.contrib.auth.decorators import login_required
from django.contrib import messages
def reviews(request):
reviews = Reviews.objects.filter(status=1)
template = 'reviews... | ViktorMathe/roxys-cakes | reviews/views.py | views.py | py | 1,659 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "models.Reviews.objects.filter",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Reviews.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "models.Reviews",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": ... |
4711897447 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
# Dependencies
from bs4 import BeautifulSoup as bs
import requests
import pymongo
import pandas as pd
from splinter import Browser
import time
# In[20]:
#master function
def scrape_info():
executable_path = {'executable_path': 'chromedriver.exe'}
browser = Bro... | SMC380013/Web-Scraping-Project | scrape_mars.py | scrape_mars.py | py | 4,124 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "splinter.Browser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_... |
18221943450 | from PyQt5 import Qt
import pathlib
from skimage import io as skio
for function in ('imread', 'imsave', 'imread_collection'):
skio.use_plugin('freeimage', function)
import time
class DeathFluorescence(Qt.QObject):
def __init__(self, root, timeInterval, outPath, imagePrefix, rw=None, runCount=None):
sup... | erikhvatum/zplab | acquisition_scripts/non_rpc/deathfluorescence.py | deathfluorescence.py | py | 3,367 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "skimage.io.use_plugin",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "skimage.io",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "PyQt5.Qt.QObject",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.Qt",
"l... |
40291104440 | """demo URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based vi... | 15851826258/ReadRecommend_By_LIM | COMP9900/urls.py | urls.py | py | 2,254 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.urls.path",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "... |
74168843110 | from django.http import JsonResponse
from django.shortcuts import render,redirect
from django.contrib.auth.decorators import login_required
import requests
from datetime import datetime
from django.contrib import messages
# Create your views here.
def apphome(request):
return render(request, 'agricapp... | nelsonfai/farmsocial | agricapps/views.py | views.py | py | 2,990 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.shortcuts.render",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "datetime... |
25742694052 | from django.urls import include, path
from rest_framework.routers import DefaultRouter
from reviews.views import (
CategoryViewSet,
CommentViewSet,
GenreViewSet,
ReviewViewSet,
TitleViewSet,
)
from users.views import UserSignUpAPIView, UserViewSet, token_obtain
router = DefaultRouter()
router.regi... | igorbaryshev/api_yamdb | api_yamdb/api/v1/urls.py | urls.py | py | 988 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "users.views.UserViewSet",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "reviews.views.CategoryViewSet",
"line_number": 16,
"usage_type": "argume... |
41709751257 | import collections
def sideView(root): #Level Order becauase we want the right most values of each level
q = collections.deque([root])
res = []
for i in range(len(q)):
while q:
node = q.popleft()
if node:
riteSide = None #initially set to None... | shirinyamani/neetcode | tree/sideview.py | sideview.py | py | 505 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "collections.deque",
"line_number": 5,
"usage_type": "call"
}
] |
1314276630 | """
URL configuration for contract_manager project.
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/4.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, n... | V0lodimirV/contracts_and_projects | contract_manager/urls.py | urls.py | py | 1,636 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.urls.path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "... |
34162692457 | import numpy as np
import scipy.io as sio
import matplotlib.pyplot as plt
from sklearn.preprocessing import MinMaxScaler
import unicodedata
import pdb
import cv2
import matplotlib
def makeArraysEqual(gt_file, pred_file):
new_array = np.zeros([len(gt_file), 1])
for i in range(len(pred_file)):
new_a... | Ziyad07/Video-Summarisation | code/TvSum50/plot_results.py | plot_results.py | py | 6,570 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.zeros",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",... |
25070223550 |
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from particle import Particle
from pid import PID
acc = []
pos = []
vel = []
# particle init condition
weight = 10.0
position = 10.0
velocity = 0.0
# time condition
init_time = 0.0
final_time = 100
dt = 0.01
# pid param
target = 0.0
kp = 100
k... | jeongleo/MyJupyter | PID/control.py | control.py | py | 1,642 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "particle.Particle",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pid.PID",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_n... |
40816031041 | from django.contrib.auth import get_backends, login
from django.contrib.auth.models import User
from django.utils.deprecation import MiddlewareMixin
USERNAME = 'user'
class AutoLoginMiddleware(MiddlewareMixin):
"""
Middleware to login user automatically when the application
is running as part of ... | uktrade/data-explorer | explorer/middleware.py | middleware.py | py | 758 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "django.utils.deprecation.MiddlewareMixin",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.models.User.objects.filter",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number... |
9818238184 |
import json
import logging
from pyannotate.annotation_object import BoxAnnotation
# load logger
logger = logging.getLogger("AnnotationLoader")
class AnnotationLoader:
"""
Basically a BoxAnnotationLoader, since load detected boxes by default
"""
def __init__(self, annotation_class=BoxAnnotation):
self.annot... | miikama/pyvideoannotate | pyannotate/annotation_loader.py | annotation_loader.py | py | 2,289 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pyannotate.annotation_object.BoxAnnotation",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": ... |
39363194135 | # run_study.py
"""This script is necessary for using subprocessing. In \power-system-tools\interface_tools\gui_classes\widget_classes.py,
the line subprocess.run([INTERPERTER_PATHS[script_type], r'run_study.py', self.project_id, script_type, study], check=True) effectively
runs this script as if from the command l... | lightmanrsa/Power_systems | run_study.py | run_study.py | py | 2,616 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "importlib.import_module",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"l... |
72413232550 | import copy
import numpy as np
import torch
from torch import optim, nn
from tqdm import tqdm
from Datasets.public_dataset import get_public_dataset
from Sever.utils.sever_methods import SeverMethod
from utils.utils import row_into_parameters
class FLTrustSever(SeverMethod):
NAME = 'FLTrustSever'
def __in... | WenkeHuang/MarsFL | Sever/FLTrustSever.py | FLTrustSever.py | py | 4,119 | python | en | code | 17 | github-code | 71 | [
{
"api_name": "Sever.utils.sever_methods.SeverMethod",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "Datasets.public_dataset.get_public_dataset",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 36,
"usage_type": "call"
... |
33869409824 | import json
def load_candidates(): # Загрузит данные из файла
"""
Загружает из файла список кандидатов
Возвращает list[dict]
"""
with open('candidates.json', encoding='utf-8') as file:
candidates = json.load(file)
return candidates
def get_all(): # Покажет всех канд... | Sergo1613/Hw_10 | utils.py | utils.py | py | 2,114 | python | ru | code | 0 | github-code | 71 | [
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
}
] |
37020661524 | # coding=utf-8
import bottle
from bottle import html_escape
def escape_value(value):
if str(type(value)) == "<class 'bson.objectid.ObjectId'>":
value = str(value)
elif type(value) == str:
value = html_escape(value)
return value
class Types:
HIDDEN_TYPE = "hidden"
MULTI_HIDDEN_TYPE = "multihidden"
INT_TYPE... | iamcm/shared | FormBinder/__init__.py | __init__.py | py | 11,548 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "bottle.html_escape",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bottle.request.params.get",
"line_number": 376,
"usage_type": "call"
},
{
"api_name": "bottle.request",
"line_number": 376,
"usage_type": "attribute"
},
{
"api_name": "bot... |
6906703417 | import sys
import os
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
import dgl
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from model.copy_transformer import EncoderTransformer, CopyDecoderTransformer
from model.hgt import HGTEncoder, HGTLayer, flatten... | zkcpku/HGT-HPG | model/varmisuse_model.py | varmisuse_model.py | py | 18,034 | python | en | code | 9 | github-code | 71 | [
{
"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... |
15398508689 | import base64
from enum import auto
from terra_sdk.client.lcd import LCDClient
from terra_sdk.key.mnemonic import MnemonicKey
from terra_sdk.core.wasm import MsgStoreCode, MsgInstantiateContract, MsgExecuteContract, msgs
from terra_sdk.core.auth.data.tx import StdFee
from terra_sdk.client.lcd.api.bank import BankAPI
... | gachouchani1999/terra_testing | contract.py | contract.py | py | 1,976 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "terra_sdk.client.lcd.LCDClient",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "terra_sdk.key.mnemonic.MnemonicKey",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 22,
"usage_type": "call"
},
{
... |
32385422907 |
import os, gc, requests, subprocess
def Check_dependencies():
# Dependencies already installed ?
print("Installing dependencies... This will take few minutes...", end='')
try:
subprocess.run(["pip", "install", "-r", "requirements.txt"], text=True, capture_output=True, check=True)
print("\rInstallation done... | Captain-FLAM/KaraFan | App/setup.py | setup.py | py | 3,311 | python | en | code | 40 | github-code | 71 | [
{
"api_name": "subprocess.run",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "subprocess.CalledProcessError",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.pa... |
7929118616 | #----------------------------------------------------------------------------#
# Procesamiento de grandes volumenes de datos 2020-2 #
# Proyecto 1 (data cleaning + MLlib) #
# Alejandro Ayala Gil #
# ... | Taniaobando/PYSPARK--data-cleaning-MLlib- | Proyecto1.py | Proyecto1.py | py | 30,190 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "findspark.init",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.boxplot",
"line_number": 234,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 234,
"usage_type": "name"
},
{
"api_name": "matplotl... |
12142454768 | import matplotlib.pyplot as plt
from crystal_lattice import *
from matplotlib.figure import Figure
def saxs_plot(files, strucs, first_peaks, sample_names, log=True, begin=0, end=0, graph=True):
f = Figure()
a = f.add_subplot(111)
files = np.array(files)
strucs = np.array(strucs)
first_peaks = np.ar... | raphaeldc/saxs_ratio_gui | saxs_ratio_analyser.py | saxs_ratio_analyser.py | py | 1,373 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "matplotlib.figure.Figure",
"line_number": 6,
"usage_type": "call"
}
] |
36750816868 | # -*- coding: utf-8 -*-
import json
import requests
import base64
from odoo import http
from odoo import models
from woocommerce import API
from odoo.addons.woocommerce_integration.models.tools import wcapi
class OdooController(http.Controller):
@http.route('/odoo_controller/odoo_controller/', auth='public')
... | angelavts/woocommerce_integration | woocommerce_integration/controllers/controllers.py | controllers.py | py | 7,097 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "odoo.http.Controller",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "odoo.http",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "odoo.http.route",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "odoo.http",
"... |
6225108436 | import tkinter as tk
import math
from CheatChecks import CheatChecks
from tkinter import Image
from tkinter import filedialog
from tkinter import messagebox
from tkinter.filedialog import askopenfile
from PIL import ImageTk
root = tk.Tk();
# root.attributes('-fullscreen', True)
background_image=tk.PhotoImage("727.gif"... | kkc028/osu-ucisd-cheat-analyzer | GUI.py | GUI.py | py | 2,193 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "tkinter.Tk",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tkinter.PhotoImage",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tkinter.Frame",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "tkinter.Frame.__init... |
15797815162 | from pytube import YouTube
from moviepy.editor import AudioFileClip
import pandas as pd
def download(url, fname):
yt = YouTube(url)
#print(yt.streams.filter(only_video=True, subtype='mp4', res='360p').all())
print('Downloading: ' + fname, str(yt.streams.filter(only_video=True, subtype='mp4', res='360p').... | kalo37/AMATH482 | hw4/download_yt.py | download_yt.py | py | 801 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pytube.YouTube",
"line_number": 8,
"usage_type": "call"
}
] |
40821341097 | import requests
import pandas as pd
from datetime import datetime
from datetime import timedelta
import os
for i in range(-1, 0):
ayer = datetime.today() + timedelta(days=i)
fecha = str(ayer.day) + '/' + str(ayer.month) + '/' + str(ayer.year) + ' 0:00:00'
resultado = requests.get("https://www.datos.gov.c... | ceao1/proyecto_covid | etl_bd.py | etl_bd.py | py | 2,378 | python | es | code | 1 | github-code | 71 | [
{
"api_name": "datetime.datetime.today",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.ge... |
21191238081 | from astropy.io import fits
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import LogNorm
# hdulist = fits.open('A1_mosaic.fits')
# pixelData = hdulist[0].data
#
# testData = pixelData[1878:2168, 1598:1961] # small slice
# # testData = pixelData[1963:2446, 1591:2244]
# testData = pixelData[... | stanleyycheung/astronomicalImageProcessing | makedata.py | makedata.py | py | 642 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "astropy.io.fits.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "astropy.io.fits",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "astropy.io.fits.open",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "astropy.io.... |
73303389671 | from typing import Optional
import requests
from src.exceptions.provider import ProviderErrorException
from src.schemas.user import UserOutput
from src.providers import IProvider
from src.settings import GITHUB_BASE_URL
class Github(IProvider):
def get_user(self, username: str) -> Optional[UserOutput]:
... | HectorMenezes/GitCollector | src/providers/github.py | github.py | py | 784 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "src.providers.IProvider",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "src.settings.GITHUB_BASE_URL",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "req... |
8217314456 | import datetime as dt
import cx_Oracle
from src.app.externalOutages.getReasonId import getReasonId
from typing import List, Tuple, Any
import datetime as dt
def updateRtoRevivalData(pwcDbConnStr: str, rtoId: int, revivalDt: dt.datetime,
remarks: str) -> bool:
isEditSuccess = True
# ch... | nagasudhirpulla/wrldc_codebook | src/app/externalOutages/updateRtoRevivalData.py | updateRtoRevivalData.py | py | 2,082 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "datetime.datetime",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line... |
4917789865 | #Python Exercise: Creating a cash machine with bank account (using a file with client data)
#Check the json file "bank_account.json"
import json
import time
with open('bank_account.json', 'r') as info:
account_data= json.loads(info.read())
print ('Initializing the cash machine...')
time.sleep(2)
print ('Use... | stellamoraes/python-beginner | cash_machine.py | cash_machine.py | py | 1,179 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "json.loads",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 33,
"usage_type": "call"
}
] |
27455505819 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from torch.utils.data import Dataset
from torchvision import transforms
from torch.optim import Adam
from tools.utils import *
from tools.unprocess import *
class LoadData(Dataset):
def __init__(self, root... | SenseBrainTech/overexposure-mask-reverse-ISP | tools/dataloader.py | dataloader.py | py | 1,819 | python | en | code | 4 | github-code | 71 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.from_numpy",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.from_numpy",
"line_number": 54,
"usage_type": "call"
}
] |
40526194120 | import cv2
import numpy as np
# 画像を読み込む
img = cv2.imread('./tmp/maru.png')
print(img.shape)
print(img.dtype)
# グレースケールに変換
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# 二値化する(白黒反転させた)
th,img_otu = cv2.threshold(img_gray, 128, 255,cv2.THRESH_BINARY_INV)
print(th)
# 輪郭を抽出する
# image, contours, hierarchy = cv2.find... | etckanikama/Congnition-for-OpenCV | sample.py | sample.py | py | 585 | python | ja | code | 0 | github-code | 71 | [
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "cv2.threshold",
"l... |
41852364205 | from flask import Flask, render_template
from flask_mysqldb import MySQL
app = Flask(__name__)
# Konfigurasi alamat ke database
app.config["MYSQL_HOST"] = "localhost"
app.config["MYSQL_USER"] = "root"
app.config["MYSQL_PASSWORD"] = ""
app.config["MYSQL_DB"] = "flask_latihan" # Sesuaikan dengan nama database yang di... | Prawirdani/Pemrograman-Web-Praktik-IX | BAB IV - Integrasi Flask dan MySQL/app.py | app.py | py | 1,055 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask_mysqldb.MySQL",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "flask.render_tem... |
72259059109 | import unicodedata
from typing import Union
import sentencepiece as spm
import springs as sp
from cached_path import cached_path
@sp.dataclass
class SentencePieceEvalConfig:
model_path: str = sp.MISSING
normalization: Union[str, None] = sp.field(
default="NFC", help="Choose between NFC (default), NFK... | RAIVNLab/MatFormer-OLMo | tokenizer/src/olmo_tokenizer/spm/eval.py | eval.py | py | 1,159 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "springs.MISSING",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "typing.Union",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "springs.field",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "springs.dataclass",
... |
21950143569 | import os
import requests
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from models import (
Airport,
Base,
City,
Continent,
Country,
)
from skyscanner_facade import (
API_KEY,
API_URL,
)
def _prepare_db():
# Initialize the database :: Connection & Meta... | skarzi/starthack | populate_db.py | populate_db.py | py | 2,471 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "os.path.abspath",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engine... |
24509745818 | from multiprocessing.dummy import Array
from typing import List, Optional, Union
from co2al_method.query_strategy import *
import numpy as np
import torch
import os
import xgboost as xgb
from ray.tune.schedulers import ASHAScheduler
from ray import tune
from ray.tune.integration.xgboost import TuneReportCheckpointCallb... | longnguyenQB/Luanvan | Co2Al/co2al_method/ssl.py | ssl.py | py | 9,848 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "typing.Optional",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.Tensor",
"lin... |
23083524053 | import datetime
import io
import time
import threading
from types import ModuleType
from typing import Union, Callable
ALLOWED_DTYPES = [
int.__name__,
float.__name__,
bool.__name__,
list.__name__,
datetime.__name__,
str.__name__
]
class Setpoint(object):
"""
A class to provide ... | aqueductfluidics/example_projects | aqueduct/setpoint.py | setpoint.py | py | 2,266 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "datetime.__name__",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "typing.Union",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "typing.Cal... |
70649399589 | from fastapi import FastAPI, APIRouter
from ..services.email_service import create_token
app = FastAPI()
router = APIRouter()
@router.post("/submit-email")
def submit_email(email: dict = {}):
to = email["email"]
verification_link = create_token(to)
print(verification_link)
return {"message": "Em... | pag0dy/new-speecho | app/routers/email.py | email.py | py | 376 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "fastapi.APIRouter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "services.email_service.create_token",
"line_number": 12,
"usage_type": "call"
}
] |
31061647002 | # -*- coding: utf-8 -*-
"""
Created on Fri Jan 18 14:38:39 2019
@author: Partha Kuila
"""
import pandas as pd
#import numpy as np
import datetime
from pymongo import MongoClient
#import pprint
#import time
#Client = MongoClient('mongodb://10.0.0.14:27017',
# username = 'spectaus... | parthakuila/Python-Script-for-dump-excel-file-within-Database. | Invoice.py | Invoice.py | py | 6,071 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "pandas.read_excel",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 59,
"usage_type": "attribute"
},
{
"api_name": "dat... |
2829459569 | import os
import xlrd
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from keras.models import Sequential
from keras.layers import Dense, Input
def extract_data(type):
book = xlrd.open_workbook('data.xlsx')
sheet = book.sheet_by_name('Sheet1')
data = [[sheet.cel... | Lahav1/human-agent-interaction-model | neural_net.py | neural_net.py | py | 2,972 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.get_dummies",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequen... |
19672520663 | import dash
from dash import html, dcc
import dash_bootstrap_components as dbc
app = dash.Dash(__name__,suppress_callback_exceptions = True, use_pages = True,
external_stylesheets=[dbc.themes.SPACELAB])
server = app.server
sidebar = dbc.Nav([
dbc.NavLink([
html.Div(page['name']... | DeyozJP/Rock-Analytics | rockapp.py | rockapp.py | py | 1,495 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "dash.Dash",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "dash_bootstrap_components.themes",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "dash_bootstrap_components.Nav",
"line_number": 10,
"usage_type": "call"
},
{
"api_n... |
6995454409 | import cv2 as cv
import numpy as np
# 均值模糊
def blur_demo(image):
dst = cv.medianBlur(image,(5,5))
cv.imshow("blur_demo",dst)
# 中值模糊（消除椒盐噪声）
def median_demo(image):
dst = cv.blur(image,5)
cv.imshow("blur_demo",dst)
# 自定义模糊
def custom_demo(image):
kernel = np.ones([5,5],np.float32)/2... | zw161917/python-Study | Opencv学习/学习6.py | 学习6.py | py | 752 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "cv2.medianBlur",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.blur",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 12,
... |
1285875789 | import time
import h5py
import json
import sys
import os
import six
import copy
import argparse
import torch
import torchfields
import numpy as np
from pathlib import Path
from tqdm import tqdm
from cloudvolume import CloudVolume
def get_dset_path(dst_folder,
x_offset,
y_offset,
... | seung-lab/metroem | metroem/download_field.py | download_field.py | py | 9,607 | python | en | code | 5 | github-code | 71 | [
{
"api_name": "numpy.float32",
"line_number": 53,
"usage_type": "attribute"
},
{
"api_name": "h5py.File",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "numpy.transpose",
"line_nu... |
7525922410 | from nst_zoo.nst_main import main
from nst_zoo.config import NSTConfig
import json
import itertools
import click
from redis import Redis
redis_connection = None
def _get_redis_connection(host, port):
global redis_connection
if not redis_connection:
redis_connection = Redis(host=host, port=port)
r... | Nick-Morgan/nst-zoo | nst_zoo/batch_processing/io.py | io.py | py | 2,830 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "redis.Redis",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "click.group",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "redis.lpop",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "nst_zoo.nst_main.main",
"line_... |
39641426305 | from functools import lru_cache
from rdflib import URIRef, Literal, BNode, Graph
from rdflib.store import Store as RdflibStore
from rdflib.term import Identifier
from six import iteritems
from . import _PyQStore, _PyQStoreNode
class ClassProperty(object):
def __init__(self, fn):
self.fn = fn
def __g... | Rust-Linked-Data/qstore | pyqstore/pyqstore/memory.py | memory.py | py | 13,060 | python | en | code | 5 | github-code | 71 | [
{
"api_name": "rdflib.store.Store",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "six.iteritems",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "rdflib.URIRef",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "rdflib.Literal",
... |
22612077429 | import unittest
import numpy as np
from scipy.io import wavfile
import pyroomacoustics as pra
np.random.seed(0)
# We use several sound samples for each source to have a long enough length
wav_files = [
[
"examples/input_samples/cmu_arctic_us_axb_a0004.wav",
"examples/input_samples/cmu_arctic_us_... | LCAV/pyroomacoustics | pyroomacoustics/bss/tests/test_bss.py | test_bss.py | py | 5,647 | python | en | code | 1,226 | github-code | 71 | [
{
"api_name": "numpy.random.seed",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pyroomacoustics.ShoeBox",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.conca... |
73347728869 | import streamlit as st
from streamlit_webrtc import webrtc_streamer , WebRtcMode
import av
import cv2
st.title("My first Streamlit app")
st.write("Hello, world")
threshold1 = st.slider("Threshold1", min_value=0, max_value=1000, step=1, value=100)
threshold2 = st.slider("Threshold2", min_value=0, max_value=... | mnojksyp28/My-first-Streamlit-app | app.py | app.py | py | 893 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "streamlit.title",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streamlit.slider",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "streamlit.slider",
... |
477818441 | import json
from pathlib import Path
not_show = []
with Path("智库website_all-website_list.txt", mode="r", encoding="utf-8").open() as f:
for line in f:
not_show.append(line.strip())
off_line = []
with Path("下线excel.txt", mode="r", encoding="utf-8").open() as f:
for line in f:
off_line.append(li... | fangtiansheng/test | test.py | test.py | py | 512 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
}
] |
27766986297 | from inspect import *
from pygraphviz import AGraph
from collections import defaultdict
from itertools import chain
from relations import *
def is_container(var):
return isinstance(var, list) or isinstance(var, dict) or isinstance(var, set)
def itercontainer(c):
assert is_container(c)
if isinstance(c, li... | windhaunting/Data_integration_graph-database_query | CreateGraph/GraphMatching/SpydeWks/Codes/lib/pycana/code_analyzer.py | code_analyzer.py | py | 6,225 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "collections.defaultdict",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "pygraphviz.AGraph",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "it... |
10544920260 | from urllib.parse import urlparse
from core.libs import alert_bug , random_str, urlencoder, insert_to_params_name, Http
from wordlists import XSS
from modules import Scan
class XssParam(Scan):
def __init__(self, opts: dict, http: Http):
super().__init__(opts, http)
self.payloads = XSS(opts['blindxss... | Transmetal/scant3r | modules/python/xss_param/xss_param.py | xss_param.py | py | 1,263 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "modules.Scan",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "core.libs.Http",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "wordlists.XSS",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "core.libs.random_str",
"li... |
14120565099 | import streamlit as st
num = int(st.number_input("Input Number: ",value=0))
totalSum = 0
for i in range(1, num+1):
totalSum += i
st.write(f"Sum is: {totalSum}") | Sukury/2023BLA_XueqingHu_W3 | W3_Q5.py | W3_Q5.py | py | 168 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "streamlit.number_input",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
"line_number": 10,
"usage_type": "call"
}
] |
27797415484 | import importlib
import torch
import torch.nn as nn
from torch.nn import init
import torch.nn.functional as F
from collections import OrderedDict
from copy import deepcopy
import wandb
import numpy as np
from os import path as osp
from methods import networks as networks
from methods.base_model import BaseModel
from u... | ihaeyong/SoftNet-FSCIL | methods/AANet_topic_model.py | AANet_topic_model.py | py | 21,889 | python | en | code | 6 | github-code | 71 | [
{
"api_name": "importlib.import_module",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "methods.base_model.BaseModel",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "methods.networks.define_net_g",
"line_number": 36,
"usage_type": "call"
},
{
... |
74159341350 | import json
import re
from gensim.models import LdaModel
from gensim.corpora import Dictionary
from nltk.corpus import stopwords
from textblob import TextBlob
import os
import json
folder_path = "reddit_posts"
combined_data = []
for filename in os.listdir(folder_path):
if filename.endswith(".json"):
file... | evelynforkhands/medical-AI | sentiment-topics.py | sentiment-topics.py | py | 3,090 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 1... |
281499548 | # This example demonstrates simple PCA-computation using CUDA-Solver library.
import pycuda.autoinit
from pycuda import gpuarray
import numpy as np
from skcuda import linalg
vals = [np.float32([10, 0, 0, 0, 0, 0, 0, 0, 0, 0]), np.float32([0, 10, 0, 0, 0, 0, 0, 0, 0, 0])]
for i in range(3000):
vals.append(vals[0]... | sfefilatyev/cuda_python_examples | chapter7/pca_example.py | pca_example.py | py | 687 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "numpy.float32",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random.randn",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.randn"... |
70987203750 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import urllib2
import flask
def geturl (url):
handle = urllib2.urlopen(url)
buff = ''
while True:
chunk = handle.read(4096)
if not chunk:
break
buff += chunk
return buff
app = flask.Flask(__name__)
@app.route("/get", ... | osp/osp.work.the-riddle | html2print/proxy/proxy.py | proxy.py | py | 589 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "urllib2.urlopen",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.request",
"line_number": 22,
"usage_type": "attribute"
}
] |
18925585666 | import csv
import os
from twilio.rest import Client #TwilioRestClient
import openpyxl
AUTH_SID = '##########' # Twilio SID
TEST_SID = '#########' #
AUTH_TOKEN = '###########' # Twilio Token, --take out of public repo--
TEST_TOKEN = '###########' #
test_mode = True
if test_mode == False:
token = AUTH_TOKEN
... | JapandrewM/MassText-with-GUI | main.py | main.py | py | 1,209 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "twilio.rest.Client",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 25,
"usage_type": "call"
}
] |
74715660390 | import csv, json
abridged_data = []
with open('brazilstates.json','r') as file1:
data = file1.read()
brazil_data = json.loads(data)
states_data = brazil_data['data']
for index, state in enumerate(states_data):
if index != 0:
state_dict = {
'weight': int(state['latest'])
}
... | calvang/covid19-heatmap | src/dataset/processBrazilShort.py | processBrazilShort.py | py | 864 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "json.loads",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 27,
"usage_type": "call"
}
] |
392252319 | import torchvision
from torchvision import transforms as T
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
dataset_transform = T.Compose([
T.ToTensor(),
T.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))
])
train_set = torchvision.datasets.CIFAR10('./dataset', tr... | Yuqi-Miao/learn_pytorch | study/6.py | 6.py | py | 1,043 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 7,
"usage_type": "call"
},
{
... |
26272513577 | from django import forms
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from django.utils.translation import gettext_lazy as _
from .models import ApplicantProfile, CustomUser
class ApplicantProfileForm(forms.ModelForm):
phone_number = forms.IntegerField(
required=False,... | xbandrade/py-4djobz | users/admin.py | admin.py | py | 1,748 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.forms.IntegerField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "djan... |
40689732670 | from flask import Flask, render_template, request
app = Flask(__name__, template_folder = 'templates')
@app.route("/")
def index():
return render_template("index.html")
@app.route("/hello", methods=["GET","POST"])
# This page can only be accessed after post.
def hello():
if request.method == "GET":
r... | bipinbohara/WEB | Flask/forms/application.py | application.py | py | 464 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.reque... |
9075182361 | import logging
from event_matchs import EventMatchs
from models.pos_models import PosReceiptEvent
from helpers.datadog_helper import DatadogHelper
from helpers.lambda_helper import LambdaHelper
matcher = EventMatchs()
logger = logging.getLogger()
logger.setLevel(logging.INFO)
def function_handler(event, _):
print... | collicesar/poc-sbo2premia | lambdas/pos-receipt-event/handler.py | handler.py | py | 943 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "event_matchs.EventMatchs",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "models.pos_... |
6644702619 | import os
from random import randint
import telebot
bot = telebot.TeleBot(os.environ["BOT_TOKEN"])
@bot.message_handler(commands=["start", "help"])
def send_welcome(message):
return bot.reply_to(
message,
"Напишите мне размеры картинки через пробел\n"
"Числа должны быть натуральными, не ... | fmgoncharov/PhaseWatch | phase_watch_bot.py | phase_watch_bot.py | py | 1,566 | python | ru | code | 0 | github-code | 71 | [
{
"api_name": "telebot.TeleBot",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "random.randint",
"line_number": 35,
"usage_type": "call"
}
] |
11343896082 | '''
Given a binary tree, return the vertical order traversal of its nodes' values. (ie, from top to bottom, column by column).
If two nodes are in the same row and column, the order should be from left to right.
Examples 1:
Input: [3,9,20,null,null,15,7]
3
/\
/ \
9 20
/\
/ \
15 7
Output:
[
... | chutianwen/LeetCodes | LeetCodes/facebook/BinaryTreeVerticalOrderTraversal.py | BinaryTreeVerticalOrderTraversal.py | py | 3,602 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "collections.deque",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 194,
"usage_type": "call"
}
] |
26976045414 | from typing import List
import numpy as np
import pandas as pd
from sklearn.model_selection import GroupKFold
from tqdm import tqdm
from vivid.featureset.atoms import AbstractAtom
class TargetEncodingAtom(AbstractAtom):
n_fold = 10
def __init__(self, use_columns: List[str]):
super(TargetEncodingAtom... | nyk510/kaggle-days-tokyo-2019 | kaggle_days/atoms/encoding.py | encoding.py | py | 2,030 | python | en | code | 3 | github-code | 71 | [
{
"api_name": "vivid.featureset.atoms.AbstractAtom",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "sklearn.model_selection.GroupKFold",
"line_number": 21,
"usage_type": "call"
},
{
... |
39191278925 | __package__ = "tica"
__author__ = 'Michael Fausnaugh'
import logging
import platform
import locale
import sys
import os.path
fstem = os.path.abspath(os.path.dirname(__file__) + '/../')
with open(os.path.join(fstem, 'VERSION'),'r') as infile:
version = infile.read()
def platform_info():
lines = []
lines.a... | mmfausnaugh/tica | tica/__init__.py | __init__.py | py | 1,380 | python | en | code | 5 | github-code | 71 | [
{
"api_name": "os.path.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.path.dirname",... |
71397890150 | import torch
from mmselfsup.models.heads import (ClsHead, ContrastiveHead, LatentClsHead,
LatentPredictHead, MultiClsHead, SwAVHead)
def test_cls_head():
# test ClsHead
head = ClsHead()
fake_cls_score = [torch.rand(4, 3)]
fake_gt_label = torch.randint(0, 2, (4, ))
... | cliangyu/CSVAL | selection/tests/test_models/test_heads.py | test_heads.py | py | 2,027 | python | en | code | 30 | github-code | 71 | [
{
"api_name": "mmselfsup.models.heads.ClsHead",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.rand",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.randint",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "mmselfsup.mode... |
18400893096 | import os
from typing import List
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from pandas import DataFrame
from domain.contracts.abstract_output_graphs_plot import AbstractOutputGraphsPlot
from domain.models.evaluation_job_parameters import EvaluationJobParameters
class HistogramPlot(Abst... | BMW-InnovationLab/SORDI-AI-Evaluation-GUI | src/application/output_graphs/plots/histogram_plot.py | histogram_plot.py | py | 3,286 | python | en | code | 69 | github-code | 71 | [
{
"api_name": "domain.contracts.abstract_output_graphs_plot.AbstractOutputGraphsPlot",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "domain.models.evaluation_job_parameters.EvaluationJobParam... |
13684432708 | import sys
import argparse
import datetime
import logging
import subprocess
from pathlib import Path
from typing import Optional, Tuple
from mbed_tools_ci_scripts.license_files import add_licence_header
from mbed_tools_ci_scripts.generate_docs import generate_documentation
from mbed_tools_ci_scripts.generate_news imp... | ARMmbed/mbed-tools-ci-scripts | mbed_tools_ci_scripts/tag_and_release.py | tag_and_release.py | py | 7,377 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "logging.getLogger",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "mbed_tools_ci_scripts.utils.definitions.CommitType",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 32,
"usage_type": "name"
},
{
... |
3802690811 | # import the MongoClient class
from pymongo import MongoClient
import json
# build a new client instance of MongoClient
mongo_client = MongoClient('mongodb+srv://research-project:cGeNVHwDOQBIjXAM@cluster0.mrfjn.mongodb.net/clients?retryWrites=true&w=majority')
# create new database and collection instance
db = mongo_... | Concussion-Research-Project/Applied-Project-and-Minor-Dissertation | Development Research/Project_Database/deleteClient.py | deleteClient.py | py | 704 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 6,
"usage_type": "call"
}
] |
7714817080 | ##This has been made by M Dhruv and Pabitra Sharma for NNLS final term project
#Import Statements
import pandas as pd
import numpy as np
import re
from sklearn import svm
data = pd.read_csv('database_UCI.csv',encoding = 'unicode_escape',keep_default_na=False)
#Making Inputs
lst = []
unwanted = ['=','http','@','ly','__... | DhruvMeduri/NNLS-Project | spam_filter_demo.py | spam_filter_demo.py | py | 3,732 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.random.shuffle",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "re.split",
... |
70028863589 | import argparse
from typing import List, Dict, Tuple
import torch
from numpy.typing import NDArray
import numpy as np
class QuantizedTensor:
def __init__(self, input_tensor: torch.Tensor, bits: int = 8):
self.bits = bits
self.min_val = input_tensor.min()
self.max_val = input_tensor.max()
... | BurakGurbuz97/SHARP-Continual-Learning | Source/memory.py | memory.py | py | 4,128 | python | en | code | 2 | github-code | 71 | [
{
"api_name": "torch.Tensor",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.round",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.uint8",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "torch.float32",
"l... |
39960150864 | # -*- coding: utf-8 -*-
"""
Created on Sat Apr 22 02:22:14 2017
original source: https://github.com/lazyprogrammer/machine_learning_examples/tree/master/linear_regression_class
@author: tsann
"""
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
#loadd data
X = []
Y = []
df = pd.r... | ytphua/neural-network-journey | 10_linear_regression/10-linear-regression-poly-blood.py | 10-linear-regression-poly-blood.py | py | 983 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "pandas.read_excel",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "matplot... |
44577587163 | from flask import request, render_template, current_app, jsonify, send_file, flash
from app import app
from app.library.controller import DownloadBook
@app.route("/search-books")
def search_books():
base_url = current_app.config["BASE_URI"]
search_url = current_app.config["SEARCH_URI"]
search_query = requ... | hashims/bookberry | app/library/views.py | views.py | py | 1,212 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "flask.current_app.config",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "flask.current_app",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask.current_app.config",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_na... |
73156573671 | import pytest # type: ignore
import unittest.mock as mock
import sys
import datetime
from decimal import Decimal
import os
# import urllib.parse
# from bs4 import BeautifulSoup # type: ignore
sys.path.append(os.path.realpath(os.path.dirname(__file__) + "/../src"))
# import app # noqa: E402
# import sigprobs # noq... | AntiCompositeNumber/signatures | tests/test_datasources.py | test_datasources.py | py | 4,210 | python | en | code | 1 | github-code | 71 | [
{
"api_name": "sys.path.append",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
23024327819 | import scipy
import numpy as np
import os
import os.path
import pandas
import scipy.ndimage
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from tiling import TileCounter
from functools import reduce
from label import *
d... | aregic/license_plate_recognition | inspect_images.py | inspect_images.py | py | 15,303 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "numpy.shape",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number": ... |
535863261 | # Name: RenameVideo.py
#
# file traversal was based on work by
# Author: Brian Klug (@nerdtalker / brian@brianklug.org)
#https://gist.github.com/nerdtalker/4187084
# Purpose:
#Rename still images as yyyy-mm-dd-hh-mm-ss-#### where #### is the existing sequence no
# using EXIF data
#
# rename movie files to V##_start da... | ghillebrand/PhotoTransfer | Rename&TransferMedia.py | Rename&TransferMedia.py | py | 27,249 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "datetime.datetime",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "exifread.process_file",
"line_number": 128,
"usage_type": "call"
},
{
"api_name": "datetime.datetim... |
2591822280 | """Tests for root marathon specific to frameworks and readinessChecks """
import apps
import time
import shakedown
from datetime import timedelta
from dcos import marathon
from dcos.errors import DCOSUnprocessableException
def test_deploy_custom_framework():
"""Launches an app that has necessary elements to cre... | shendabin/marathon | tests/system/dcos_service_marathon_tests.py | dcos_service_marathon_tests.py | py | 3,307 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "dcos.marathon.create_client",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "dcos.marathon",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "apps.fake_framework",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "shakedo... |
8732080745 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 9 17:31:52 2018
@author: zhangp
"""
import cv2
import numpy as np
import os
def total_number_function(input_path, cut_off, area_data, screen_ratio):
input_file_path = os.path.dirname(input_path)
input_file_name = os.path.basename(input_path... | zpeng1989/Cell_number | MAIN/cellnumber.py | cellnumber.py | py | 2,585 | python | en | code | 5 | github-code | 71 | [
{
"api_name": "os.path.dirname",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
1190940310 | from cozmohttpclient import CozmoHttpClient
import cozmo
import asyncio
class CozmoAlexa:
def __init__(self):
self._client = CozmoHttpClient()
async def run(self, coz_conn:cozmo.conn.CozmoConnection):
self._robot = await coz_conn.wait_for_robot()
self._robot.set_robot_volume(1... | Wizards-of-Coz/Alexa-Playground | cozmoSrc/cozmoalexa.py | cozmoalexa.py | py | 1,271 | python | en | code | 0 | github-code | 71 | [
{
"api_name": "cozmohttpclient.CozmoHttpClient",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cozmo.conn",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "asyncio.sleep",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cozmo.an... |
6063756772 | from typing import Tuple, List
import warnings
from collections import OrderedDict, defaultdict
from typing import Union
import abc
from tqdm import tqdm
import numpy as np
from scipy.optimize import minimize
from scipy.special import logit as safe_logit
import torch
import torch.nn as nn
from torch.utils.data import... | EFS-OpenSource/calibration-framework | netcal/scaling/AbstractLogisticRegression.py | AbstractLogisticRegression.py | py | 39,684 | python | en | code | 286 | github-code | 71 | [
{
"api_name": "netcal.AbstractCalibration",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "torch.float16",
"line_number": 101,
"usage_type": "attribute"
},
{
"api_name": "torch.float32",
"line_number": 102,
"usage_type": "attribute"
},
{
"api_name": "to... |
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