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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
70754529959 | import os
import pickle
import string
import time
from collections import Counter
import classla
import numpy as np
import pandas as pd
from keras.layers import Dense
from keras.models import Sequential, load_model
from nltk.tokenize import word_tokenize
from sklearn.feature_extraction.text import TfidfVectorizer
from... | azagsam/cerif_classification | cerif_train.py | cerif_train.py | py | 13,752 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tqdm.tqdm.pandas",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "collections.Counter",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.... |
17859892202 | import datetime as dt
from typing import List
from django.utils import timezone
from pets.models import Pet, PetOwnership
from users.models import User
class CreatePet:
def run(
self,
*,
name: str,
official_name: str = "",
date_of_birth: dt.date = None,
image: str... | Aperyon/kitty_nurse_backend | src/pets/use_cases/create_pet.py | create_pet.py | py | 1,377 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.date",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "users.models.User",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "pets.models.Pet",
... |
40706995721 | import json
from channels.generic.websocket import AsyncWebsocketConsumer # The class we're using
from asgiref.sync import sync_to_async
from .models import Message
from django.template import Context, Template
class ChatConsumer(AsyncWebsocketConsumer):
async def connect(self):
self.room_group_name = 'ch... | warhunt/wolly_social_network | main/consumers.py | consumers.py | py | 1,749 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "channels.generic.websocket.AsyncWebsocketConsumer",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "django.template.Template",
"line_number": 39,
"usage_type": "call"
},
{
... |
25285005043 | from django.db import models
class Category(models.Model):
name = models.CharField(max_length=100)
parent = models.ForeignKey('self', on_delete=models.CASCADE, related_name='subcategories', null=True, blank=True)
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.DateTimeField(... | UmirovJobir/Imodels | shop/models/category.py | category.py | py | 701 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.models.Model",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "... |
74343087719 |
from uuid import uuid4
from .group import Group
class Family:
def __init__(self, download_type=None, family_id=None, headers=None, metadata=None, base_url=""):
self.download_type = download_type
if not family_id:
self.family_id = str(uuid4())
else:
self.family_id... | xtracthub/xtract-sdk | xtract_sdk/packagers/family.py | family.py | py | 2,586 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "uuid.uuid4",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "uuid.uuid4",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "group.Group",
"line_number": 39,... |
72877223719 | import get_growth
import datetime
def test_indexname_to_point_valid():
"""
Confirm that indexname_to_point() returns a valid point if given a valid filename with a date
"""
ten_days_ago = datetime.date.today() - datetime.timedelta(10)
assert get_growth.index_name_to_point(ten_days_ago.strftime('so... | lhelman/elasticsearch_growth | tests/test_get_growth.py | test_get_growth.py | py | 2,789 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.date.today",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "get_growth.ind... |
28417235663 |
import requests, json, openpyxl
from datetime import datetime,timedelta
#scrap.py Program to get rate and availability data from booking engine
print("Program to fetch rate and availability")
todayDate = datetime.now()
#getting and validating input for start date
while True:
print("Please enter the ... | haditedi/hotel---apartments-api | hotel-api.py | hotel-api.py | py | 5,205 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "da... |
3441823165 | from socket import*
import json
import os
import struct
# 服务器端文件夹位置
FILEPATH = "E:/Pythonproject/"
# 创建sever服务器
sever = socket(AF_INET, SOCK_STREAM)
ip_port = ('192.168.31.190',5354)
buffSize = 1024
# 监听
sever.bind(ip_port)
sever.listen(5)
while True:
# 连接客户端
print("waiting for connection......\n")
clie... | DoubleZeroWater/LocalChat | Transfer_File/receive.py | receive.py | py | 2,230 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "struct.unpack",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 38,
"usage_type": "call"
}
] |
39803007680 | import numpy as np
import cv2
import math
import matplotlib.pyplot as plt
from collections import namedtuple
def cutImage(image):
# borderGrey = cv2.adaptiveThreshold(cv2.cvtColor(image, cv2.COLOR_RGB2GRAY),255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,\
# cv2.THRESH_BINARY,11,2)
borderGrey = cv2.cvtColo... | bhruszka/Bachelor-Thesis-App | PracaInzWebApp/Segmentation/ImageTranformation.py | ImageTranformation.py | py | 2,813 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.cvtColor",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_RGB2GRAY",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"... |
9715987140 | import torch
import matplotlib
matplotlib.use("WebAgg")
import matplotlib.pyplot as plt
from utils.polynomials import Legendre, Chebyshev
from utils.tools import MSE
from src.geometries.data import get_htc2022_train_phantoms
from geometries import HTC2022_GEOMETRY as geometry, enforce_moment_constraints, get_moment_m... | EricOldgren/KEX---CT-reconstruction | src/training/sinos_playing.py | sinos_playing.py | py | 2,056 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.use",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "src.geometries.data.get_htc2022_train_phantoms",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "geometries.HTC2022_GEOMETRY.project_forward",
"line_number": 15,
"usage_type... |
7727154563 | from tkinter import *
from typing import Tuple
from PIL import Image, ImageTk
from cv2 import add
# from matplotlib.pyplot import fill
from numpy import angle
from pyparsing import col
from deepfaceT.deepface.DeepFace import stream
from auth import *
from tkinter.ttk import Progressbar
from tkcalendar import *
import d... | Muhd-Faiq/Emotect-Desktop | home.py | home.py | py | 18,335 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "EmotionObj.EmotionObj",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "tkinter.font.Font",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "tkinter.font",
"line_number": 48,
"usage_type": "name"
},
{
"api_name": "json.loads",
... |
38053676389 | import requests
from requests.exceptions import MissingSchema
from bs4 import BeautifulSoup as soup
import re
import sys
import time
agent = requests.utils.default_headers()
agent.update({
"User-Agent":'Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.115 Safari/537.36',... | meghu2791/EntityMatching | Stage2/CODE/stage2_1.py | stage2_1.py | py | 2,992 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.utils.default_headers",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.utils",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "bs4.Bea... |
71210648359 | import json
import logging
from cpc.network.com.input import Input
from cpc.network.com.server_connection import ServerConnection
from cpc.network.server_request import ServerRequest
from cpc.util import json_serializer
from cpc.util.conf.server_conf import ServerConf
log=logging.getLogger(__name__)
class DirectServer... | gromacs/copernicus | cpc/server/message/direct_message.py | direct_message.py | py | 4,260 | python | en | code | 17 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cpc.network.com.server_connection.ServerConnection",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "cpc.network.com.input.Input",
"line_number": 22,
"usage_type": "call"... |
28713590200 |
from flask import Blueprint,request,redirect,url_for
from flask import render_template,request
import os
from flask import current_app
from cse_a import app
from cse_a.models import Message,db,Attendance,Cse_Gallery,Technical
from PIL import Image
from cse_a.forms import Gallery
import datetime
import boto3
import req... | maheshdrago/cse-a | cse_a/views.py | views.py | py | 7,188 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "flask.Blueprint",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.render_templ... |
27000646793 | # Advent of Code 2022 Day 08
# Author: Erik Båvenstrand
# URL: https://adventofcode.com/2022/day/8
from typing import Union
import numpy as np
def get_visible_range(height: int, view):
blockers = np.where(view >= height)
return len(view) if len(blockers[0]) == 0 else blockers[0][0] + 1
def part_a(data: li... | ErikBavenstrand/Advent-of-Code | 2022/08/code.py | code.py | py | 2,123 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.where",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 34,
... |
11183097001 | import collections
def left_of_expandable(index, list, placeholder=None):
new_index = index - 1
while new_index < 0:
list.insert(0, placeholder)
new_index += 1
return new_index
def left_of_unexpandable(index, list, placeholder=None):
new_index = index - 1
if new_index < 0:
... | mjutzi/TikzTuringSimulator | core/tape_expansion.py | tape_expansion.py | py | 1,269 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "collections.namedtuple",
"line_number": 32,
"usage_type": "call"
}
] |
35079179377 | import os
import pickle
from sklearn.feature_extraction.text import TfidfVectorizer
# 主要配置两个路径即可，第一个是读取的jieba分完词后的dir
# 第二个是保存fit_params 的路径
resultdir = "D:/AAA/nlpdata/testJiebaClassFile"
tfidftransformer_path = 'D:/AAA/nlpdata/tfidftransformer.pkl'
list_file = os.listdir(resultdir)
# 用于存放所有的文档字符串
fitlist = []
for... | Anlysqx/newTextClassification | save_fit_params.py | save_fit_params.py | py | 765 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 10,
"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": "sklearn.feature_extraction.text.... |
25313010560 | #!/usr/bin/env python3.7
# -*- coding: utf-8 -*-
from collections import namedtuple
from distutils.version import LooseVersion
from importlib import import_module
from subprocess import PIPE, call
from sys import executable
InstallStatus = namedtuple('InstallStatus', ('status', 'package', 'version'))
InstallStatus.__s... | vikasmunshi/python-scripts | scripts/install_package.py | install_package.py | py | 1,354 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.namedtuple",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "distutils.version.LooseVersion",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "subprocess.call",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "... |
38360401030 | import uvicorn
from typing import Optional
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
m = []
@app.get("/")
def Root():
return "Hello World"
@app.get("/api/products") # список товаров
def watch_all_products():
global m
if not m:
return "Товары отсутствуют"
retur... | MaxonPy/task_2 | main.py | main.py | py | 1,725 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "uvicorn.run",
"line_number": 61,
"usage_type": "call"
}
] |
23058201451 | class ZigZagConversion(object):
def zigZagConversion(self, string, numberOfRows):
if numberOfRows == 1:
return string
self.rows = [[] for counter in range(numberOfRows)]
currentRow = 0
direction = 1
for _, character in enumerate(string):
self.rows[currentRow].append(character)
... | Shamanyu/DataStructuresAndAlgorithms | LeetCode/ZigZagConversion/zig_zag_conversion/zig_zag_conversion.py | zig_zag_conversion.py | py | 1,221 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "nose.tools.assert_equals",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "nose.tools.assert_equals",
"line_number": 32,
"usage_type": "call"
}
] |
5778674492 | from datetime import datetime
from playsound import playsound
from gtts import gTTS
import os
text="Wake up it's Time To go"
output=gTTS(text=text,lang='en',slow=False)
output.save('output.mp3')
alarm_time=input("Enter the time for the alarm :HH:MM:SS\n")
alarm_hour=alarm_time[0:2]
alarm_minute=alarm_time[3:... | Kumar-prog-cyber/alarm_clock | AlarmClock.py | AlarmClock.py | py | 925 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "gtts.gTTS",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "playsound.playsound"... |
10549594019 | """
This modules does XXX
"""
import pickle
from io import BufferedWriter
from typing import Any, Union
import pandas as pd
from astropy.io import fits
from numpy import str_
from . import pickle_protocol_version
def open_pickle(filename):
if filename.split(".")[-1] == "p":
a = pd.read_pickle(filename)... | denisrosset/yarara | src/yarara/io.py | io.py | py | 979 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_pickle",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "astropy.io.fits.getdata",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "astropy.io.fits",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "astropy.io... |
8727761840 | import pandas as pd
from sqlalchemy import create_engine, schema as saschema
engine = create_engine('postgresql://postgres:mypasswd@pg-host:5432/')
schema_name = 'feast'
table_name1 = 'data_df1'
table_name2 = 'data_df2'
table_name3 = 'data_df3'
table_name4 = 'data_df4'
table_target = 'target_df'
if not engine.dialect... | Paulo-A/Feast-Example | breast_cancer/create_dataset.py | create_dataset.py | py | 3,552 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.schema.CreateSchema",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.schema",
"line_number": 13,
"usage_type": "name"
},
{
"api_name... |
28335058782 | """
ELR Scorer
==========
Scorer for MRF based models. Supports FSDM and ELR-based models.
:Author: Faegheh Hasibi
"""
from __future__ import division
import argparse
import json
import math
from collections import defaultdict
from pprint import pprint
from nordlys.core.ml.instance import Instance
from nordlys.cor... | iai-group/nordlys | nordlys/logic/elr/scorer_elr.py | scorer_elr.py | py | 7,773 | python | en | code | 32 | github-code | 18 | [
{
"api_name": "nordlys.core.retrieval.scorer.ScorerPRMS",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 124,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 144,
"usage_type": "call"
},
{
"api_n... |
4820585182 | """
2419. Longest Subarray With Maximum Bitwise AND
You are given an integer array nums of size n.
Consider a non-empty subarray from nums that has the maximum possible bitwise AND.
- In other words, let k be the maximum value of the bitwise AND of any subarray of nums. Then, only subarrays with a bitwise AND equal to ... | tkwang0530/LeetCode | 2419.py | 2419.py | py | 1,941 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "unittest.main",
"line_number": 74,
"usage_type": "call"
}
] |
74518804198 | from rest_framework.views import APIView
from rest_framework.response import Response
from . import models, serializers
from space_manager.rooms import models as rooms_models
from space_manager.membership import models as membership_models
from space_manager.branches import models as branch_models
from space_manager.us... | yoojat/Space-Manager | space_manager/seats/views.py | views.py | py | 23,087 | python | ko | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "rest_framework.status.HTTP_404_NOT_FOUND",
"line_number": 26,
"usage_type":... |
24950153846 | import controller
import time
import datetime
start_time = time.time()
####define com ports for controller and baudrate (keep at 115200)
port = "COM5"
baud_rate = 115200
setup = controller.Setup(port, baud_rate)
setup.connect()
#################### Fluidics parameters ###########################
wait = 10
move = co... | jrlLAB/ElectroLab | src/electrolab/a_initialization.py | a_initialization.py | py | 2,733 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "time.time",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "controller.Setup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "controller.Motor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "controller.MainPower",
... |
32187693095 | import time
import traceback
import aiohttp
import feedparser
import requests
from app.models.rss_post_model import RSSPostModel
from app.schemas.rss_post_schema import RSSPostCreate
from app.schemas.rss_source_schema import RSSSource
class Parser:
def __init__(self) -> None:
pass
def _strip_feed(s... | vertexofvortex/vk-rss-backend | app/utils/parser/parser.py | parser.py | py | 4,265 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "app.schemas.rss_source_schema.RSSSource",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "app.schemas.rss_post_schema.RSSPostCreate",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "time.mktime",
"line_number": 38,
"usage_type": "call"
... |
35515099256 | import subprocess
import pytest
def git_is_not_installed():
try:
subprocess.check_output(['which', 'git'])
return False
except Exception:
return True
pytestmark = pytest.mark.skipif(
git_is_not_installed(),
reason='git is not installed',
)
def test_git(flamingo_env, run)... | pengutronix/flamingo | tests/test_plugin_Git.py | test_plugin_Git.py | py | 2,110 | python | en | code | 18 | github-code | 18 | [
{
"api_name": "subprocess.check_output",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pytest.mark.skipif",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "logging.ER... |
70165317801 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
# python main.py --model resnet --model_depth 34 --n_classes 3
import torch
import torch.utils.data as Data
import torch.nn as nn
import os
import torchvision.transforms as transforms
import torchvision.transforms.functional as TF
from matplotlib import pyplot as plt
fr... | bx-h/3d-cnn-mri | main.py | main.py | py | 8,432 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.system",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "logger.tensorboard_dir",
"line_number": 35,
"usage_type": "argument"
},
{
"api_name": "torch.device",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "logger.log.logger.i... |
30523441202 | from collections import deque
from bisect import bisect_left
x = int(input())
num = set(range(1, 100))
d = deque()
for i in range(10, 100):
d.append(i)
while d:
y = d.popleft()
if y <= 10**18:
diff = y//10%10 - y%10
if 0 <= y%10 + diff <= 9:
ny = y*10 + (y%10 + diff)
... | chikati3/Atcoder | abc234/E.py | E.py | py | 722 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "bisect.bisect_left",
"line_number": 30,
"usage_type": "call"
}
] |
8188962834 | #!/usr/bin/env python3
'''convert gninatypes file to xyz file'''
import struct, sys, argparse
from functools import partial
import molgrid
names = molgrid.GninaIndexTyper().get_type_names()
def elem(t):
'''convert type index into element string'''
name = names[t]
if 'Hydrogen' in name:
return 'H'... | gnina/scripts | types2xyz.py | types2xyz.py | py | 1,727 | python | en | code | 19 | github-code | 18 | [
{
"api_name": "molgrid.GninaIndexTyper",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "argparse.FileType",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "stru... |
28708385132 | from matplotlib import colors, pyplot as plt
plt.style.use("fivethirtyeight")
slice = [120,80,30,20]
labels = ['forty','sixty','extra1','extra2']
colors=['blue','red','yello','green']
explode= [0,0.1,0.2,0]
plt.pie(slice, labels = labels, explode = explode, startangle=90,autopct='%1.1f%%', shadow = True, wedgeprops =... | yashvachhani/python | matplotlib/pie_chart.py | pie_chart.py | py | 412 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 3,
"usage_type": "name"
},
{
"api_name"... |
39309368559 | import logging
import logging.config
import time
from pyspark.sql import SparkSession
from lightautoml.spark.utils import logging_config, VERBOSE_LOGGING_FORMAT
from .utils import DummyTabularAutoML
from .. import spark as spark_sess
spark = spark_sess
logging.config.dictConfig(logging_config(level=logging.DEBUG, l... | Qwinpin/LightAutoML_Spark | tests/spark/unit/test_auto_ml/test_auto_ml_preset.py | test_auto_ml_preset.py | py | 1,697 | python | en | code | null | github-code | 18 | [
{
"api_name": "logging.config.dictConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.config",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "lightautoml.spark.utils.logging_config",
"line_number": 13,
"usage_type": "call"
},
{
... |
73811697320 | import fcntl
import json
import logging
import multiprocessing
import os
import signal
import subprocess
import sys
import tempfile
import zipfile
from typing import Any, Dict, List, Optional, Tuple, Union
from urllib.parse import urldefrag
from celery.exceptions import SoftTimeLimitExceeded # type: ignore
import to... | DataBiosphere/toil | src/toil/server/wes/tasks.py | tasks.py | py | 23,808 | python | en | code | 856 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_numb... |
10760221024 | from __future__ import annotations
from typing import Callable, List
from ndspy.rom import NintendoDSRom
from skytemple_files.common.i18n_util import _, get_locales
from skytemple_files.common.ppmdu_config.data import (
GAME_REGION_EU,
GAME_REGION_JP,
GAME_REGION_US,
GAME_VERSION_EOS,
Pmd2Data,
)... | SkyTemple/skytemple-files | skytemple_files/patch/handler/skip_quiz.py | skip_quiz.py | py | 3,810 | python | en | code | 16 | github-code | 18 | [
{
"api_name": "skytemple_files.common.i18n_util._",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "skytemple_files.patch.handler.abstract.AbstractPatchHandler",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "skytemple_files.patch.handler.abstract.DependantPa... |
21127109705 | #!/usr/local/bin/python3
import psycopg2
import argparse
import time
import csv
from subprocess import call
from yaml import load, load_all
try:
from yaml import CLoader as Loader
except ImportError:
from yaml import Loader
# Returns the timestamp,usercount pair which is closest to the specified timestamp
def... | pacohope/usercount | diasporacount.py | diasporacount.py | py | 4,943 | python | en | code | null | github-code | 18 | [
{
"api_name": "yaml.load",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "yaml.Loader",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "psycopg2.connect",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "psycopg2.DatabaseError",
"... |
71970836199 | from pyDolarVenezuela import network
from bs4 import BeautifulSoup
def _get_price_and_symbol_in_simple(strong_tag: BeautifulSoup):
price = str(strong_tag.find_next('strong').text).split('Bs.')[-1][:-1].strip()
symbol = str(strong_tag.find_next('strong').text).split('Bs.')[-1][-1]
return price, symbol
def... | fcoagz/pydolarvenezuela | pyDolarVenezuela/provider/ivenezuela.py | ivenezuela.py | py | 3,387 | python | en | code | 19 | github-code | 18 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "pyDolarVenezuela.network.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pyDolarVenezuela.network",
"line_number": 11,
"usage_type": "name"
},
{
"api_name":... |
28466863481 | from typing import List
import pytest
from aws_lambda_powertools.utilities.parser import (
ValidationError,
envelopes,
event_parser,
)
from aws_lambda_powertools.utilities.parser.models import (
KinesisFirehoseModel,
KinesisFirehoseRecord,
KinesisFirehoseRecordMetadata,
)
from aws_lambda_power... | heitorlessa/aws-lambda-powertools-test | tests/functional/parser/test_kinesis_firehose.py | test_kinesis_firehose.py | py | 4,896 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "tests.functional.parser.schemas.MyKinesisFirehoseBusiness",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "aws_lambda_powertools.utilities.typing.LambdaContext",
"line_number": 2... |
5610275037 | import matplotlib.pyplot as plt
try:
from csc_486b_assignments.solution.assignment1 import utils
except ModuleNotFoundError:
import utils
if __name__ == "__main__":
img = utils.read_image("input.jpg")
img_inv = utils.invert_image(img)
utils.save_image_to_h5(img_inv, "output.h5")
plt.figure(... | nomis1125/SchoolPortfolio | CSc 486b/A1/submission-package/submission-package/solution_3_2.py | solution_3_2.py | py | 398 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "utils.read_image",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utils.invert_image",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "utils.save_image_to_h5",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
42179896979 | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
import frida
import time
def on_message(message, data):
if message['type'] == 'error':
print('[!] ' + message['stack'])
elif message['type'] == 'send':
print('[i] ' + message['payload'])
else:
print(message)
def main(target_process, addr, size):
se... | physics-sec/frida-scripts | misc/frida-read-memory.py | frida-read-memory.py | py | 991 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "frida.attach",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 3... |
13842412261 | #!/usr/bin/env python3
import math
from tkinter import *
from tkinter import ttk
import matplotlib.pyplot as plt
import numpy as np
#Things that happen when you press the button
#Do math, show results, draw figure
def plot_figure(*args):
#Simulation deltas pulled from nowhere
#1/100 of a seconds
delta = 8 #0.08*10... | Hirmuolio/Shield-regen-calc | regen.py | regen.py | py | 6,082 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "math.sqrt",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "math.floor",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 96,
... |
15815898388 | from unicodedata import category
from django.shortcuts import get_object_or_404, render
from django.views.decorators.clickjacking import xframe_options_exempt
from .models import Content, Category
@xframe_options_exempt
def index(request):
categories = Category.objects.all()
context = {
'categori... | jovian34/j34web_django | j34main/views.py | views.py | py | 1,113 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.Category.objects.all",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Category.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "models.Category",
"line_number": 10,
"usage_type": "name"
},
{
"api_name... |
7365368299 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# https://github.com/shenwei356/bio_scripts
from __future__ import print_function
import argparse
import gzip
import logging
import os
import re
import sys
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
from Bio.SeqUtils import MeltingTe... | shenwei356/bio_scripts | sequence/fastx_tm.py | fastx_tm.py | py | 2,424 | python | en | code | 92 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.stderr.write",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
... |
20756866270 | import pygame
import time
import random
pygame.init()
white = (255,255,255)
black = (0,0,0)
red = (255,0,0)
green = (0, 155, 0)
display_width = 800
display_height = 600
gameDisplay = pygame.display.set_mode((display_width,display_height))
pygame.display.set_caption('Andrew\'s Snake Game')
pygame.display.update()
... | andrewnvu/Snake-Game | snake.py | snake.py | py | 4,651 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
72895971239 | from django.contrib import admin
from django.urls import path
from . import views
from django.contrib.auth import views as auth_views
#define route path to redirect one to another pages
urlpatterns = [
path('', views.Home,name="Home"),
path('login/', views.login,name="login"),
path('loged/', vi... | sainisachin602060/asterisc-internship-project | Blog-Creator-web-Application/DecodeProject/DecodeApp/urls.py | urls.py | py | 703 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.urls.path",... |
22545038302 | from typing import *
from kaia.eaglesong.core import Return, Routine, Subroutine
from kaia.eaglesong.drivers.telegram import TgCommand, TgContext
import telegram as tg
import logging
from abc import ABC, abstractmethod
logger = logging.getLogger('group_chat')
class AdminReplySkillLogic(ABC):
@abstractmethod
d... | okulovsky/kaia | zoo/group_chatbot/skills/admin_reply/admin_reply.py | admin_reply.py | py | 1,801 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "abc.ABC",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "kaia.eaglesong.drivers.telegram.TgContext",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "te... |
41136518778 | import folium
def gen_map():
"""
マップの基本部分を生成
Returns:
m(folium.Map)
"""
copyright_st = '©' \
'Map tiles by <a href="http://stamen.com">Stamen Design</a>,' \
' under <a href="http://creativecommons.org/licenses/by/3.0">CC BY 3.0</a>.' \
... | yH3PO4/HighwayOrderedDS | src/plot.py | plot.py | py | 1,749 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "folium.Map",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "folium.Marker",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "folium.Marker",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "folium.PolyLine",
"line_nu... |
9878237175 | import json
import uuid
import urllib
from uuid import getnode as getmac
from pyportify import gpsoauth
SJ_DOMAIN = "mclients.googleapis.com"
SJ_URL = "/sj/v2.5"
FULL_SJ_URL = "https://{0}{1}".format(SJ_DOMAIN, SJ_URL)
def encode(values):
return urllib.parse.urlencode(values)
class Mobileclient(object):
... | rckclmbr/pyportify | pyportify/google.py | google.py | py | 6,077 | python | en | code | 782 | github-code | 18 | [
{
"api_name": "urllib.parse.urlencode",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pyportify.gpsoauth.perform_master_login",
"line_number": 26,
"usage_type": "call"
},
{
"... |
21484287834 | # Filename: hello.py
"""Simple Hello World example with PyQt5."""
from PyQt5 import QtWidgets, uic, QtGui, QtCore
from PyQt5.QtWidgets import QFileDialog
from PyQt5.QtGui import QImage,QPixmap
import sys
import os
import cv2
import numpy as np
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt5ag... | andre002wp/Face-Drooping-detection | Test gui PYQT.py | Test gui PYQT.py | py | 30,935 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "PyQt5.uic.loadUi",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PyQ... |
7589770886 | from databasescreen import DataBaseApp
from kivy.config import Config
import os
Config.set("kivy", "desktop", 1)
Config.set("kivy", "exit_on_escape", 1)
Config.set("graphics", "resizable", 1)
Config.set("graphics", "window_state", "maximized")
Config.set("graphics", "borderless", 0)
Config.set("graphics", "fullscreen"... | SagarKishore-PFM/flash-card-app-py | main.py | main.py | py | 584 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "kivy.config.Config.set",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "kivy.config.Config",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "kivy.config.Config.set",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "kivy.co... |
2033212558 | import logging
from collections import OrderedDict
import requests
from apscheduler.schedulers.background import BackgroundScheduler
from rpidisplay import configuration
from rpidisplay.weather_providers import OpenWeatherMap, DarkSky
class Data:
def __init__(self):
self.weather = None
self.exch... | aklimko/rpi-display | rpidisplay/data.py | data.py | py | 3,352 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rpidisplay.configuration.ModesCfg",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "rpidisplay.configuration",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "apscheduler.schedulers.background.BackgroundScheduler",
"line_number": 18,
"us... |
27857365892 | #!/usr/bin/env python
# -*- coding: utf8 -*-
import json
from collections import defaultdict
tweets = defaultdict(list)
class ReadFile:
def __init__(self,filePath):
self.filePath = filePath
def openFile(self,filePath):
file = open(self.filePath, 'r')
with open(self.filePath) as json_... | elena-shirokova/named_entity_tweets | readFile.py | readFile.py | py | 843 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
}
] |
37099560296 | from astar import AStar
import numpy as np
import matplotlib.pyplot as plt
import pdb
start_state = np.array([0, 0])
goal_state = np.array([10, 10])
def heuristic(state1, state2):
return np.linalg.norm(state1 - state2)
def valid_edge_function(state, primitive):
if state[1] == 3 and state[0] < 8:
retu... | nthatte/ACRLHW5 | src/test_astar.py | test_astar.py | py | 1,440 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_numb... |
14540671536 | import configparser
import os
import sys
class Config:
mapper = {
'common': ['server_addr', 'server_port', 'token'],
'mc': ['local_port', 'remote_port']
}
def __init__(self, path=os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])), "mc.ini")):
self.path = path
self... | todest/MC-ONLINE | utils/config.py | config.py | py | 1,343 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.realpath",
"lin... |
71426862120 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
def get_days(assigned_days, n_people):
days = np.zeros(assigned_days.max(), int)
for i, r in enumerate(assigned_days):
days[r-1] += n_people[i]
return days
def dataset_plot(dataset):
desired = dataset.values[:,1:1... | aorursy/new-nb-3 | golubev_benchmark-mip-solvers-draft.py | golubev_benchmark-mip-solvers-draft.py | py | 7,752 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "matplot... |
75262816040 | # This code is written at BigVision LLC. It is based on the OpenCV project. It is subject to the license terms in the LICENSE file found in this distribution and at http://opencv.org/license.html
# Usage example: python3 object_detection_yolo.py --video=run.mp4 --device 'cpu'
# python3 object_detectio... | aus10powell/MIT-Fishery-Counter | code/archived/inference.py | inference.py | py | 6,103 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "matplotlib.use",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "centroidtracker.CentroidTracker",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 64,
"usage_type": "attribute"
},
{
"api_name": "... |
23502333979 | "Convenience script to display and modify some BIOS settings via Redfish API"
import os
import sys
import logging
import argparse
import time
import redfish_api # pylint: disable=import-error
# create root logger for this script
logger = logging.getLogger()
def parse_args():
"Parse command-line arguments"
... | IntelSmartEdge/open-developer-experience-kits | scripts/deploy_esp/redfishapi/redfish_bios.py | redfish_bios.py | py | 7,765 | python | en | code | 18 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "argparse.RawDescriptionHelpFormatter",
"line_number": 21,
"usage_type": "attribute"
},
{
... |
6499634766 | #!/usr/bin/env python3
import logging
from typing import List
from urllib.error import HTTPError
from helpermodules.cli import run_using_positional_cli_args
from modules.common.component_state import CounterState
from modules.common.powerwall import powerwall_update, PowerwallHttpClient
from modules.common.store impo... | Bucky2k/openWB | modules/bezug_powerwall/powerwall.py | powerwall.py | py | 2,038 | python | en | code | null | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "modules.common.powerwall.PowerwallHttpClient",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "modules.common.component_state.CounterState",
"line_number": 24,
"usage_ty... |
21133414994 | # -*- coding: utf-8 -*-
"""
Created on Wed Aug 15 21:48:18 2018
@author: wuwangchuxin
"""
import numpy as np
import pandas as pd
import statsmodels.api as sm
import math
#import matplotlib.pyplot as plt
import os
os.chdir('D:/multiple_factors_models/')
#import date_process_class as dpc
from scipy import stats as ss
im... | wuwangchuxinybf/multiple_factors_models | single_factors_test.py | single_factors_test.py | py | 29,765 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "os.chdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path.append",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "pylab.mpl.rcParams",
"line... |
30211021816 | #coding:utf-8
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
import numpy as np
# corpus = ['This is the first document.',
# 'This is the second second document.']
#
# vectorizer = CountVectorizer()
# X = vectorizer.fit_transform(corpus... | zkywsg/python_nlp | Emotional_classification/input_process.py | input_process.py | py | 2,955 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.TfidfTransformer",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 62,
"usage_... |
31531416390 | from PIL import Image
import numpy as np
from numpy.typing import NDArray
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt
import texfig
def white_background_highlight(
ax: matplotlib.axes.Axes, x: NDArray, y: NDArray
) -> None:
ax.plot(x, y, alpha=0.1, linewidth=6, color="white")
ax.... | rfmiotto/pressure_distribution_infer | figures/figure_cp_distribution_single_model.py | figure_cp_distribution_single_model.py | py | 6,077 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.axes",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.typing.NDArray",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.typing.NDArray",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "numpy.... |
14158740027 | import os
import shutil
from PySub import utils as _utils
from PySub import memory as _memory
import matplotlib.pyplot as plt
class ProjectFolder(object):
"""Class for managing a project folder
"""
def __init__(self, folder, subfolders = []):
"""Initialize the ProjectFolder object. Also c... | TNO/PySub | PySub/ProjectFolder.py | ProjectFolder.py | py | 6,656 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PySub.utils.make_folder",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "PySub.utils",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "os.path.isfile",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "os.path",
"lin... |
25622559700 | import config
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from routes.questionares import router as QRouter
from routes.records import router as RRouter
app = FastAPI()
origins = [
config.Settings().GATE
]
app.add_middleware(
CORSMiddleware,
allow_origins... | snabila/ta-full | service-questionare/main.py | main.py | py | 651 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "config.Settings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "fastapi.middleware.cors.CORSMiddleware",
"line_number": 14,
"usage_type": "argument"
},
{
"api_nam... |
7784134044 | from PyQt5.QtWidgets import*
from main_python import Ui_MainWindow
from liste import ListelePage
import sqlite3
#connection = sqlite3.connect("Ariza.db")
class ArizaPage(QMainWindow):
baglanti = sqlite3.connect("Ariza.db")
islem = baglanti.cursor()
table = islem.execute("create table if not ex... | Agony04/teknik-servis-otomasyonu | Teknik Servis Otomasyonu/arizaBilgi.py | arizaBilgi.py | py | 992 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "main_python.Ui_MainWindow",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "liste.ListelePage",
"line_number": 18,
"usage_type": "call"
}
] |
24914438716 | from fractions import Fraction
from math import ceil
from typing import Any, Dict
from pytorchvideo.data.clip_sampling import ClipInfo, ClipSampler
class MinimumFullCoverageClipSampler(ClipSampler):
"""Find the minmimum number of clips to cover the full video.
Args:
clip_duration: Duration of a clip... | juliendenize/eztorch | eztorch/datasets/clip_samplers/minimum_full_coverage_clip_sampler.py | minimum_full_coverage_clip_sampler.py | py | 2,465 | python | en | code | 25 | github-code | 18 | [
{
"api_name": "pytorchvideo.data.clip_sampling.ClipSampler",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "fra... |
19650644120 | """
Filename: wcsmatching.py
Author(s): Peter Quigley
Contact: pquigley@uwo.ca
Created: June 19, 2023
Updated: June 20, 2023
Usage: python wcsmatching.py <obs_date>
*This script is intended to run only on BLUEBIRD
"""
# Module Imports
import os,sys
import argparse
import re
import itertools
imp... | ColibriKBO/ColibriPipeline | wcsmatching.py | wcsmatching.py | py | 13,932 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 112,
"usage_type": "call"
},
{
"api_name": "coordsfinder.getTransform",
... |
11830787223 | # coding: utf-8
"""
Apache NiFi Registry REST API
The REST API provides an interface to a registry with operations for saving, versioning, reading NiFi flows and components.
OpenAPI spec version: 1.19.0
Contact: dev@nifi.apache.org
Generated by: https://github.com/swagger-api/swagger-codegen.git
... | Chaffelson/nipyapi | nipyapi/registry/models/versioned_flow_snapshot.py | versioned_flow_snapshot.py | py | 11,752 | python | en | code | 228 | github-code | 18 | [
{
"api_name": "six.iteritems",
"line_number": 304,
"usage_type": "call"
},
{
"api_name": "pprint.pformat",
"line_number": 328,
"usage_type": "call"
}
] |
1657193602 | import argparse
import os
import shutil
import tempfile
import unittest
from contextlib import contextmanager
from pathlib import Path
from typing import Generator
from unittest.mock import MagicMock, patch
from torchx.cli.cmd_run import CmdBuiltins, CmdRun, _parse_run_config
@contextmanager
def cwd(path: str) -> Ge... | SirLegolot/torchx | torchx/cli/test/cmd_run_test.py | cmd_run_test.py | py | 3,328 | python | en | code | null | github-code | 18 | [
{
"api_name": "os.getcwd",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "contextlib.contextmanager",
"line_num... |
34782319140 | import requests
from bs4 import BeautifulSoup
import smtplib
import text_to_speech as speech
import time
URL = "https://www.rokomari.com/book/202772/hate-kolome-javascript"
headers ={"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.75 Safari/537.36" }
def... | Fahimkhan9/Price-Tracker | script.py | script.py | py | 745 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "text_to_speech.speak",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
23346989169 | from django.urls import reverse_lazy
from django.views.generic import ListView, CreateView, UpdateView
from score.forms import CreateRestaurantForm, CreateMenuForm, CreateEmployeeForm, VoteMenuForm
from score.models import Restaurant, Employee, Menu, Scores
class RestaurantListView(ListView):
model = Restaurant
... | VolodymyrSubach/Python_Task | django/Python_Task/score/views.py | views.py | py | 2,409 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.views.generic.ListView",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "score.models.Restaurant",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.views.generic.ListView",
"line_number": 13,
"usage_type": "name"
},
{
... |
7315272352 | from PyQt5 import QtWidgets, QtCore, QtGui
class SearchParameterWidget(QtWidgets.QWidget):
removeSelfRequest = QtCore.pyqtSignal(QtCore.QVariant)
searchParamFieldUpdate = QtCore.pyqtSignal((str, str, QtCore.QVariant))
def __init__(self, parent=None):
super(SearchParameterWidget, self).__init__(pa... | TheRealBanana/movie_organizer | src/dialogs/widgets/searchParameterWidget.py | searchParameterWidget.py | py | 5,844 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "PyQ... |
11668921851 | from django.urls import path
from . import views
from .views import MapView
urlpatterns = [
path('', views.home, name = "HOME"),
#path('newPage/', views.users, name = "USER"),
#path('editPage/<int:user_id>/', views.edit, name = "EDIT"),
#path('delete/<int:user_id>/', views.delete_user, name='DELETE'),
... | Ehsanul-karim/CIS-System-Project | myapp/urls.py | urls.py | py | 2,123 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "views.home",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "views.myregister",
... |
13882105905 | import numpy as np
import cv2 as cv
from matplotlib import pyplot as plt
from argparse import ArgumentParser
def parse_args_for_settings_file():
"""Parse the single argument (the settings JSON file) for scripts that
require it.
"""
parser = ArgumentParser(description="Script with JSON Settings File")... | dcharatan/dcr-reimplementation | source/utilities.py | utilities.py | py | 4,201 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.ndarray",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "cv2.SIFT_create",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.FlannB... |
72091923559 | import apache_beam as beam
with beam.Pipeline() as p:
icon_pairs = p | 'Create icons' >> beam.Create([
('Apple', '🍎'),
('Apple', '🍏'),
('Eggplant', '🍆'),
('Tomato', '🍅'),
])
duration_pairs = p | 'Create durations' >> beam.Create([
('Apple', 'perennial'),
('Carrot', 'bienn... | jparadae/pipelines_with_beam | cogroupbyKey.py | cogroupbyKey.py | py | 809 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "apache_beam.Pipeline",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "apache_beam.Create",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "apache_beam.Create",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "apache_beam.... |
72509863400 | import utils
from starlette.applications import Starlette
from starlette.responses import JSONResponse
from starlette.routing import Route
from starlette.requests import Request
async def homepage(request):
return JSONResponse({"hello": "Hello welcome"})
async def readsheet(request: Request):
try:
dat... | chidibede/google_sheets_reader_microservices | gsheet/server.py | server.py | py | 662 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "starlette.responses.JSONResponse",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "starlette.requests.Request",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "utils.read_gsheet",
"line_number": 14,
"usage_type": "call"
},
{
"api_... |
29826868391 | import logging
import os
import re
import yaml
from PIL import Image
from pelican import signals
from jinja2 import Template
logger = logging.getLogger(__name__)
pswipe_regex = re.compile(r'(\[pswipe:([^,]+),([^.,]+)(\.[^,]+),([^\]]+)\])')
pswipe_template = """<img src='/images/{{album}}/{{image_root}}_thumbnail_tal... | fritzm/blog.fritzm.org | plugins-local/photoswipe/photoswipe.py | photoswipe.py | py | 2,496 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pelican.settings",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "jinja2.Template",
... |
43023994772 | # -*- coding: utf-8 -*-
import logging
import libmc
from MySQLdb import connect, IntegrityError # noqa
from ORZ import setup, OrzField, OrzBase # noqa
from douban.mc import create_decorators
from douban.sqlstore import store_from_config
from redis2beansdb import Beansdb
from vilya.config import (
MEMCACHED_HOST... | douban/code | vilya/libs/store.py | store.py | py | 2,629 | python | en | code | 1,812 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "libmc.Client",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "vilya.config.MEMCAC... |
39271377688 | import json
import torch
import torch.nn as nn
import numpy as np
from tqdm import tqdm
from sklearn.metrics import roc_auc_score
from arguments import get_args
from utils import StatsTracker
from utils import load_model
from train_base import train_model
from graph import MolGraph
from models import GCN
import pdb
... | benatorc/OTGNN | train_gcn.py | train_gcn.py | py | 6,210 | python | en | code | 48 | github-code | 18 | [
{
"api_name": "arguments.get_args",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "train_base.train_model",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "models.GCN",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "utils.StatsTrack... |
34743811624 | from flask_restful import Resource, reqparse
from flask_jwt import jwt_required, current_identity
from models.pages import PageModel
from models.site import SiteModel
from models.rank import RankModel
from datetime import datetime
class Pages(Resource):
@jwt_required()
def get(self, id=None, name=None):
... | nesterd/SpaceBrainsProject | WebServerREST/resources/stats.py | stats.py | py | 4,975 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "flask_restful.Resource",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "models.pages.PageModel.find_by_id",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.pages.PageModel",
"line_number": 13,
"usage_type": "name"
},
{
"ap... |
4380232350 | from ptp2 import ParltrackSubRecord
from ptp2.dossier.doc import Doc
from ptp2.utils import make_date
from datetime import date, datetime
class Event(ParltrackSubRecord):
def __init__(self, record):
super().__init__(record)
# date parsing
if isinstance(self.date, str):
self.d... | ghxm/ptp2 | ptp2/dossier/event.py | event.py | py | 747 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "ptp2.ParltrackSubRecord",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "ptp2.utils.mak... |
12358271919 | import json
import sqlite3
from models import Employee, Location
EMPLOYEES = [
{
"id": 1,
"name": "Jenna Solis"
}
]
def get_all_employees():
"""sql get all employees"""
with sqlite3.connect("./kennel.sqlite3") as conn:
conn.row_factory = sqlite3.Row
db_cursor = conn.cur... | sbyardnss/kennels-server | views/employee_requests.py | employee_requests.py | py | 4,264 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlite3.Row",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "models.Employee",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "models.Location",
... |
23719750540 | import asyncio
import re
from bs4 import BeautifulSoup
from requests import Response, Session, HTTPError
from config import debug_mode
from database.cache_manager import cache_manager
from utils.requests import session
android_app_key = 'android_app_package'
def parsing_http_page(url: str, params=None) -> Beautifu... | DUpdateSystem/Server | server/getter/hubs/hub_script_utils.py | hub_script_utils.py | py | 4,571 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "utils.requests.session.get",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "utils.... |
34589661340 |
import urllib.request, urllib.parse, urllib.error
from bs4 import BeautifulSoup
url = input('Enter - ')
html = urllib.request.urlopen(url).read()
soup = BeautifulSoup(html, 'html.parser')
# Retrive all of the anchor tags
tags = soup('a')
for tag in tags:
print(tag.get('href', None))
# Python for Web Service... | Ryann-W/python | BeautifulSoup.py | BeautifulSoup.py | py | 458 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 9,
"usage_type": "name"
},
{
"api_name":... |
43114502509 | import argparse
from selenium import webdriver
from scrapfile import LICLIENT
import time
def parse_command_line_args():
parser = argparse.ArgumentParser(description="""
parse LinkedIn search parameters
""")
parser.add_argument('--username', type=str, required=True,
help=... | WaelTissaoui/resume-Screening-linkedin-job-scrapper | linkedin scrapper/main.py | main.py | py | 1,744 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "t... |
37900580418 | from __future__ import division
import itertools
import numpy as np
def batch(iterable, n):
it = iter(iterable)
while True:
chunk = tuple(itertools.islice(it, n))
if not chunk:
return
yield chunk
def build_grid(shape):
r"""
"""
shape = np.asarray(shape)
ha... | sergeytulyakov/menpofit | menpofit/base.py | base.py | py | 566 | python | en | code | null | github-code | 18 | [
{
"api_name": "itertools.islice",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.floor",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.require",
"line_n... |
14939316157 | import docker
client = docker.from_env()
class NetworkBuilder:
NETWORK = None
_DEFAULT_NETWORK = None
def __init__(self, name='dockeranon_net', range='192.168.5.0/24', gw='192.168.5.254'):
self.network = NetworkBuilder.NETWORK
if self.network is not None:
return
# Che... | resilience-jychp/dockeranon | libs/builder/network.py | network.py | py | 1,941 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "docker.from_env",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "docker.types.IPAMPool",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "docker.types",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "docker.types.I... |
72415197159 | from typing import final
import numpy as np
import matplotlib.pyplot as plt
initial_epsilon = 1
middle_epsilon = 0.25
final_epsilon = 0.07
epsilon = initial_epsilon
epsilons = []
decay = np.power(middle_epsilon/initial_epsilon, 1/1e6)
decay2 = np.power(final_epsilon/middle_epsilon, 1/3e6)
print(decay)
for i in range(i... | kimminss0/traffic-ddqn | test.py | test.py | py | 506 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.power",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
34975678940 | import networkx as nx
import random
import functools
import operator
import numpy as np
import ast
from scipy import stats
from sklearn.neighbors import KernelDensity as KDE
from scipy import interpolate
import itertools
import pickle
def add_marriage_edges(all_fam, all_unions, D, marriage_probs, p, ncp, n, infdis):
... | js-808/FamilyNetworksResearch | Model/family_network_model.py | family_network_model.py | py | 15,744 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.choice",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "random.choices",
... |
30511597035 | import re
import numpy as np
import pandas as pd
from scipy.stats import chisquare
from sklearn.utils import resample
from sklearn.linear_model import LogisticRegression
## Load data
din = '/share/fsmresfiles/breast_cancer_medication/data/02_statistics_input'
dout = '/share/fsmresfiles/breast_cancer_medication/data/0... | sayadennis/breastcancer-medication | statistics/prelim_stats_metformin.py | prelim_stats_metformin.py | py | 4,404 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.utils.resample",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.all",
... |
14471016674 | """
General utilities for QFTs in Qiskit.
"""
from datetime import datetime
from qiskit.quantum_info import DensityMatrix
def reverse_bit_order(nr_bits, value):
"""
Reverse the bits in a value.
Parameters
----------
nr_bits: The number of bits for the value (we need to specify this because the v... | mvsg2/quantum-internet-hackathon-2022 | qiskit/utils.py | utils.py | py | 3,518 | python | en | code | null | github-code | 18 | [
{
"api_name": "qiskit.quantum_info.DensityMatrix",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 99,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 99,
"usage_type": "name"
}
] |
18921124195 | from airflow.hooks.postgres_hook import PostgresHook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
class DataQualityOperator(BaseOperator):
ui_color = '#89DA59'
@apply_defaults
def __init__(self,
redshift_conn_id,
table,
... | jao6693/ud-de-project5 | plugins/operators/data_quality.py | data_quality.py | py | 1,937 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "airflow.models.BaseOperator",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "airflow.utils.decorators.apply_defaults",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "airflow.hooks.postgres_hook.PostgresHook",
"line_number": 30,
"usage_t... |
36864761025 | import pytest
from pathlib import Path
from corpy.phonetics import cs
from corpy.morphodita import Tagger
SCRIPT_DIR = Path(__file__).parent
TAGGER = Tagger(SCRIPT_DIR.parent / "czech-morfflex-pdt.tagger")
def test_voicing_assimilation_over_word_boundaries():
assert cs.transcribe("máš hlad") == [("m", "a:", "Z"... | dlukes/corpy | tests/test_phonetics.py | test_phonetics.py | py | 9,834 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "corpy.morphodita.Tagger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "corpy.phonetics.cs.transcribe",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "corp... |
4950366921 | # -*- coding: utf-8 -*-
import logging
import json
import pika
from pika.adapters.tornado_connection import TornadoConnection
import tornado.httpserver
import tornado.ioloop
import tornado.web
from server.tweetclassifier import Classifier
class PikaClient(object):
def __init__(self, config, app=None):
... | frankfarrell/ireland-sentiment | server/client.py | client.py | py | 7,071 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "server.tweetclassifier.Classifier",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pika.PlainCredentials",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "pika.ConnectionParameters",
"line_number": 54,
"usage_type": "call"
},
{
... |
13034640142 | from datetime import datetime
from random import randint
from string import printable
import pytest
from data_controller.postgres import Postgres
from scripts.helpers import random_word
from tests import *
pytestmark = pytest.mark.asyncio
@pytest.fixture(scope='function')
async def postgres():
pool = await _ge... | MaT1g3R/Hifumi-bot | tests/test_postgres.py | test_postgres.py | py | 3,677 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "pytest.mark",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "data_controller.postgres.Postgres",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "dat... |
5304406062 | # Import built-in module
import argparse
import warnings
import math
warnings.filterwarnings(action='ignore')
import torch.nn as nn
import torch.optim as optim
import torch.distributed as dist
# from torch.utils.tensorboard import SummaryWriter
from tensorboardX import SummaryWriter
# Import Custom Utils
from utils... | ByungKwanLee/Causal-Adversarial-Instruments | fast_train_causal.py | fast_train_causal.py | py | 13,955 | python | en | code | 37 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.nn.backends",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "torch.nn.autog... |
33942094952 | import os
import requests
import pickle
import html5lib
from bs4 import BeautifulSoup
import pandas as pd
import urllib.request
BASE_URL = 'https://pokemondb.net'
file_name = 'scraped_pokemon_page.pickle'
gameList = ['FireRed', 'LeafGreen', 'Omega Ruby', 'Alpha Sapphire',
"Let's Go Pikachu", "Let's Go Ee... | Maanuj-Vora/Many-Api | data/scripts/pokemon.py | pokemon.py | py | 5,411 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_numb... |
10370765339 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from conv_tasnet import ConvTasNet
L = 50
CHUNK = 400
JUMP = int(CHUNK / L)
class CachedModel(nn.Module):
def __init__(self, path, input_channels=2, R=2, X=7, N=128, use_cuda=True):
super(CachedModel, self).__init__()
... | vivjay30/clearbuds | clearbuds_waveform/src/cached_model.py | cached_model.py | py | 5,616 | python | en | code | 34 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "conv_tasnet.ConvTasNet.load_model",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "conv_... |
26850595904 | import logging
log = logging.getLogger('zen.AWS')
import hashlib
import hmac
import base64
import urllib
import datetime
from urlparse import urlunparse
from twisted.internet.error import ConnectionRefusedError, TimeoutError
from twisted.web import http
from zope.event import notify
from Products.AdvancedQuery impo... | ssvsergeyev/ZenPacks.zenoss.AWS | ZenPacks/zenoss/AWS/utils.py | utils.py | py | 9,301 | python | en | code | null | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "site.addsitedir",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_num... |
11917442709 | #!/usr/bin/env python
# coding: utf-8
# In[14]:
import boto3
import pandas as pd
from os import environ
# In[16]:
aws_access_key_id = environ.get('aws_access_key_id')
aws_secret_access_key = environ.get('aws_secret_access_key')
# In[23]:
def create_df_all_brands_tweets_from_s3(aws_credentials,bucket,brands):... | yasminaber/mosef2-data-architecture | data_integration_scripts/A-source_twitter/3-silver-to-gold_tweets-aggregation.py | 3-silver-to-gold_tweets-aggregation.py | py | 2,001 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.environ.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_numbe... |
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