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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
14975292313 | import os
import time
import math
import sys
import argparse
import numpy as np
import pandas as pd
import plotly.graph_objects as go
import matplotlib.pyplot as plt
from gcodeparser import GcodeParser
from am_robot.GCodeCommands import GCodeCommands
from mgen import rotation_from_angles
if sys.platform == 'linux':... | alejontnu/am-robot | src/am_robot/GCodeExecutor.py | GCodeExecutor.py | py | 47,667 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "sys.platform",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.platform",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "sys.platform",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "am_robot.GCodeC... |
26517468895 | from acme.adders import reverb as adders
from acme.jax.losses import impala
from acme.utils.tree_utils import tree_map
import haiku as hk
import jax
import jax.numpy as jnp
import numpy as np
import reverb
from absl.testing import absltest
class ImpalaTest(absltest.TestCase):
def test_shapes(self):
#
bat... | deepmind/acme | acme/jax/losses/impala_test.py | impala_test.py | py | 2,380 | python | en | code | 3,100 | github-code | 18 | [
{
"api_name": "absl.testing.absltest.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "absl.testing.absltest",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "haiku.LSTM",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "... |
9975327276 | from drf_spectacular.utils import extend_schema, extend_schema_view
from rest_framework import status, viewsets
from rest_framework.mixins import DestroyModelMixin
from rest_framework.permissions import BasePermission, IsAuthenticated
from rest_framework.response import Response
from rest_framework.views import APIView... | alex2011ua/OnlineStore | OnlineStoreDjango/my_apps/shop/api_v1/admin/admin_views.py | admin_views.py | py | 1,779 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.mixins.DestroyModelMixin",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "rest_framework.status.HTTP_204_NO_CONTENT",
"line_number": 20,
"... |
2034969302 | from random import randint, gauss, choice, shuffle, random
from typing import List, Set
from lorem import word, get_word
from morelianoctua.model import OWLOntology, OWLAxiom
from morelianoctua.model.axioms.assertionaxiom import OWLClassAssertionAxiom, \
OWLObjectPropertyAssertionAxiom, OWLDataPropertyAssertionAxi... | patrickwestphal/learning_scenario_generators | learningscenariogenerators/simulatedannealing/__init__.py | __init__.py | py | 41,232 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "learningscenariogenerators.LearningScenarioGenerator",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "learningscenariogenerators.exception.OntologyConstraintsViolatedException",
"line_number": 116,
"usage_type": "call"
},
{
"api_name": "learningscenariog... |
39490131014 | import json
import multiprocessing as mp
import numpy as np
import pyflex
import torch
from scipy.spatial.transform import Rotation as R
from core.util.args import get_args
from core.util.util import quatFromAxisAngle, quatFromAxisAngle_batch
def _worker(remote, parent_remote, env_fn_wrapper, gpu_id, gui):
paren... | AdaCompNUS/Prompt | core/planning/grasp/grasp_env.py | grasp_env.py | py | 15,281 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "core.util.args.get_args",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line... |
34315840763 | import asyncio
import sys
async def perform_task():
await asyncio.sleep(10)
async def main(num_tasks):
tasks = []
for task_id in range(num_tasks):
task = asyncio.create_task(perform_task())
tasks.append(task)
await asyncio.gather(*tasks)
if __name__ == "__main__":
if len(sys.ar... | pkolaczk/async-runtimes-benchmarks | python/main.py | main.py | py | 471 | python | en | code | 87 | github-code | 18 | [
{
"api_name": "asyncio.sleep",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "asyncio.create_task",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "asyncio.gather",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_... |
71654260200 | from typing import Text
import random
import pygame
from pygame import *
import cards
import the_AI
import cards
import wave_generatore
import os
import sound
import textures
import triggerKeyboard
import ClientLeaderBoards
pygame.font.init()
font = pygame.font.SysFont(None, 24)
tutorial = False
class UI:
x=0
... | TomiYea/A_Vinganca_de_D.Sebastiao | menu.py | menu.py | py | 8,945 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "pygame.font.init",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.SysFont",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pygame.font",
... |
4949872133 | import typing
import mysql.connector as mariadb
#from dotenv import load_dotenv
import os
from sqlalchemy import create_engine
str_conn='mysql+pymysql://root:root@localhost:3306/ultratrailv2'
cursor=create_engine(str_conn)
#load_dotenv()
if typing.TYPE_CHECKING:
import Song
class SongService:
tableName =... | SergioSuarezgh/Project_Final_Spotify | src/SongService.py | SongService.py | py | 1,098 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "sqlalchemy.create_engine",
"line_number": 22,
"usage_type": "call"
}
] |
3414753694 | from fastapi import APIRouter, Path, HTTPException
from typing import List
from starlette.responses import JSONResponse
from starlette.status import *
from .model_user import UserSchema, UserDB
from db import database, tbl_users
from starlette.status import *
# import user model and services
from .model_user import Us... | arifarinto25/pgfastapi | app/routes/route_user.py | route_user.py | py | 3,295 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "model_user.UserSchema",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "db.tbl_users.insert",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "db.tbl_users",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "db.database.ex... |
6094784387 | import math
import numpy
import json
import io
class Point:
'''
A point on the track with its distance to the center.
'''
def __init__(self, pos, dist):
self.pos = pos
self.dist = dist
def compute_distance(p0, p1):
'''
Computes the distance between `p0` and `p1`, projected ont... | JBarmentlo/Self-Aware-Driving-Patate | srcs/Scorer/Score.py | Score.py | py | 3,865 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "numpy.linalg.norm",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "math.sqrt",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
... |
74498967721 | # importing the relevant modules to run the code
import boto3
import json
import csv
import os
# creating a loop that will go through the messages and continue the pipeline
while True:
# Create SQS client using boto3 module
sqs = boto3.client('sqs')
# The url of my sqs
queue_url = "https://sqs.us-east-... | bamb4boy/sqs_s3_pipeline | Consumer/Consumer.py | Consumer.py | py | 2,565 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "boto3.client",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4... |
28959792621 | # -*- coding: utf-8 -*-
import json
from ..base.simple_downloader import SimpleDownloader
class VeohCom(SimpleDownloader):
__name__ = "VeohCom"
__type__ = "downloader"
__version__ = "0.30"
__status__ = "testing"
__pattern__ = r"https?://(?:www\.)?veoh\.com/(?:tv/)?(?:watch|videos)/(?P<ID>v\w+)"... | pyload/pyload | src/pyload/plugins/downloaders/VeohCom.py | VeohCom.py | py | 1,617 | python | en | code | 3,038 | github-code | 18 | [
{
"api_name": "base.simple_downloader.SimpleDownloader",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 44,
"usage_type": "call"
}
] |
12057198971 | from itertools import chain
from django import template
from svarmeh.models import Page, Product, Chunk
from django.core.cache import cache
register = template.Library()
@register.inclusion_tag('include/menu.html', takes_context=True)
def main_menu(context):
products = Product.objects.filter(status='published')
... | gearheart/svarmeh | svarmeh/templatetags/svarmeh_tags.py | svarmeh_tags.py | py | 1,031 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.template.Library",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "svarmeh.models.Product.objects.filter",
"line_number": 11,
"usage_type": "call"
},
{
"api_n... |
3439407448 |
################################################################################################################
"""
"""
# Built-in/Generic Imports
import math
import random
import sys
# Libs
import matplotlib.pyplot as plt
# Own modules
__version__ = '1.1.1'
__author__ = 'Victor Guillet'
__date... | vguillet/RSAI_Engine | src/Simulation/Swarm/Agent/Path_finding/update_area.py | update_area.py | py | 1,832 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "numpy.linspace",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_n... |
11147618514 | import os
from twilio.rest import Client
from dotenv import load_dotenv
load_dotenv()
SID = os.getenv('SID')
AUTH = os.getenv('AUTH')
PHONE = os.getenv('PHONE')
ADMIN = os.getenv('ADMIN')
client = Client(SID, AUTH)
msg = input("Enter your text message to admin: ")
message = client.messages \
.create(
... | digibeep/lulu | adminText.py | adminText.py | py | 377 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 9,... |
5439879841 | import pandas as pd
import numpy as np
import csv
import mygene
# meta data 전처리
with open("GSE127165_series_matrix.txt","r",encoding="UTF-8") as f:
reader=csv.reader(f,delimiter="\t")
fieldnames=[]
for i in reader:
try:
#print(i[0])
fieldnames.append(i[0])
... | devcs96/AsanMedicalCenter | GSE158403.py | GSE158403.py | py | 1,879 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "csv.reader",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "mygene.MyGeneInfo",
"line_nu... |
43551242921 | from django.conf.urls import patterns, include, url
from vehicles.views import VehiclesList, VehicleCreate, VehicleView, VehicleUpdate, delete_vehicle
from django.contrib.auth.decorators import login_required, permission_required
urlpatterns = patterns('',
#List view
url(r'^$', VehiclesList.as_view(), name='ve... | codeadict/IGPython | apps/vehicles/urls.py | urls.py | py | 645 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "vehicles.views.VehiclesList.as_view",
"line_number": 7,
"usage_type": "call"
},
{
"a... |
31862135749 | # -*- coding: utf-8 -*-
# @Author : Lin Lan (ryan.linlan@gmail.com)
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from collections import defaultdict
from ray.rllib.evaluation.sample_batch import SampleBatch
from ray.rllib.evaluation.p... | llan-ml/tesp | tesp/utils.py | utils.py | py | 2,471 | python | en | code | 30 | github-code | 18 | [
{
"api_name": "numpy.stack",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "ray.rllib.evaluation.postpr... |
4955093426 | import os.path
import socket
from common.config import logger, conf_catalog
from common.error import VulnersProxyException
def check_api_connectivity(settings):
try:
socket.setdefaulttimeout(3)
socket.socket(socket.AF_INET, socket.SOCK_STREAM).connect(
(settings.vulners_host, 443)
... | vulnersCom/vulners-proxy | common/api_utils.py | api_utils.py | py | 2,339 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "socket.setdefaulttimeout",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "socket.AF_INET",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "socket.SOCK... |
71099363560 | """Classes and functions that interact w/ Nasa's Near Earth Object API"""
from faker import Faker
from .system import System
NEO_API = "https://api.nasa.gov/neo/rest/v1/neo/browse"
class NEO:
# instantiates the object of a near earth object
# an object object if you will heh
def __init__(self, neo_reference_id,... | egoberdon/wadjet | neo.py | neo.py | py | 1,790 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "system.System",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "faker.Faker",
"line_number": 18,
"usage_type": "call"
}
] |
5100592660 | import urllib2 #python classes and code needed to request info, receive, and open
import json
class AlbumView(object):
"""This class handles how the data is shown to the user"""
def __init__(self):
self.__wdos = []
self.__content = '''<table>
<tr>
<td><h3>Albums</h3></td>
</tr>''' #starting table tag
... | kingmfs14/DPW1405 | itunes-app/album.py | album.py | py | 2,674 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "urllib2.Request",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "urllib2.build_opener",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 71,
"usage_type": "call"
}
] |
9666364806 | import wx
from threading import Thread
import deployment
class WorkItem():
def __init__(self,process,queue,workFunc):
self.queue = queue
self.process = process
self.workFunc = workFunc
class WorkerThread(Thread):
"""Test Worker Thread Class."""
#---------------------------------... | rosmod/rosmod | gui/worker.py | worker.py | py | 2,956 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "threading.Thread",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "wx.NewId"... |
39376255318 | import torch
#f = w.x
#f = 2.x
x = torch.tensor([1,2,3,4], dtype=torch.float32)
y = torch.tensor([2,4,6,8], dtype=torch.float32) #as we have assumed f=2*x for our this model
w = torch.tensor(0.0, dtype=torch.float32, requires_grad=True)
#model prediction/ forward pass
def forward(x):
r... | Alok-Kumar-9/pytorch.zip | 05_gradPyTorch.py | 05_gradPyTorch.py | py | 1,146 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.tensor",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"line_n... |
21358118764 | import tkinter
from PIL import Image, ImageTk
import random
root = tkinter.Tk()
root.geometry("800x800")
root.title("Dice Rolling Simulator")
# Adding label into the frame
Blankline = tkinter.Label(root,text="")
Blankline.pack()
# adding label with different font and formatting
HeadingLabel = tkinter.Label(root, te... | ginjardev/python_projects | DiceRollGUI/dice_rolling_gui.py | dice_rolling_gui.py | py | 1,227 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tkinter.Tk",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tkinter.Label",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
"l... |
74812956519 | # -*- coding: utf-8 -*-
"""
Created on Sun Jun 18 21:52:50 2023
@author: WIN
"""
import matplotlib.pyplot as plt
import cv2
import numpy as np
def makeCDF(img):
img_h,img_w = img.shape
histogram=np.zeros(256)
for i in range(img_h):
for j in range(img_w):
histogram[im... | dabbrata/Image-processing | Image_processing(all .py files)/median_filter.py | median_filter.py | py | 2,229 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.round",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_numb... |
1614511369 | import argparse
import torch
import os
import random
import numpy as np
class Config(object):
def __init__(self):
# get init config
args = self.__get_config()
for key in args.__dict__:
setattr(self, key, args.__dict__[key])
# select device
self.device = torch.d... | Wang-chengfei/BiLSTM-CRF | config.py | config.py | py | 4,536 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.device",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
... |
35263551979 | from collections import deque
d = deque()
for i in range(int(input())):
a = input().split()
if a[0]=='append':
d.append(a[1])
elif a[0]=='appendLeft':
d.appendLeft(a[1])
elif a[0]=='pop':
d.pop()
elif a[0]=='popLeft':
d.popLeft()
print(*d) | Sulagna-Dutta-Roy/HackSolutions | Python/Deque Collections.py | Deque Collections.py | py | 307 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 2,
"usage_type": "call"
}
] |
18532768723 | #!/usr/bin/env python3
# Standard library imports
from random import randint, choice as rc
# Remote library imports
from faker import Faker
# Local imports
from app import app
from models import db, User, Slate, SlatedMovie, Movie, Comment
if __name__ == '__main__':
fake = Faker()
with app.app_con... | jkworley/film-focused | server/seed.py | seed.py | py | 9,186 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "faker.Faker",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "app.app.app_context",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "app.app",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "models.User.query.delete",
... |
8569382634 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Question',
fields=[
('id', models.AutoField(ver... | M0dM/DjangoI2LProject | formation/sondages/migrations/0001_initial.py | 0001_initial.py | py | 1,102 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 13,
"usage_type": "call"
},
... |
22296756601 | import pandas as pd
import seaborn as sns
import numpy as np
from functools import partial
from multiprocessing import Pool
from matplotlib import pyplot as plt
import pybedtools as pbt
atac = snakemake.input['atac_peaks']
h3k4me1 = snakemake.input['h3k4me1_peaks']
h3k4me3 = snakemake.input['h3k4me3_peaks']
h3... | SichongP/atac-seq | workflow/scripts/pyPlotROC_multi_core.py | pyPlotROC_multi_core.py | py | 3,164 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.DataFrame",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pybedtools.bedtool.BedTool.from_dataframe",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pybedtools.bedtool",
"line_number": 24,
"usage_type": "attribute"
},
{
... |
28926689383 | import sys
import argparse
import pysam
from math import log
from math import exp
parser = argparse.ArgumentParser(description='''
Assign parent of origin to heterozygous variants in a child using read-backed phasing
''')
#parser.add_argument('variants', type=str, help='text file with variant positions.')
parser.add_... | besenbacher/GreatApeMutationRate2018 | python_scripts/add_AD2_lowQ_py3.py | add_AD2_lowQ_py3.py | py | 2,253 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pysam.Samfile",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pysam.Samfile",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pysam.Samfile",
... |
29541085390 | import os
import re
import sys
import csv
import time
import getopt
import subprocess
import collections
import pandas as pd
import find_invariant as fi
import refine as refine
from shutil import copyfile
import association_rule_learning as assorule
import multiprocessing
import multiprocessing.dummy
import multiproces... | ArabelaTso/Learning-Based-ParaVerifer | main.py | main.py | py | 35,911 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sklearn.externals.joblib.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sklearn.externals.joblib",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "sklearn.externals.joblib.dump",
"line_number": 36,
"usage_type": "call"
},
{
... |
38542247645 | from mtcnn.mtcnn import MTCNN
from matplotlib import pyplot
import os
import shutil
import re
def face_detection(file):
# load image from file
pixels = pyplot.imread(file)
# detect faces in the image
faces = detector.detect_faces(pixels)
return len(faces)
def make_newdir(dir):
os.mkdir(dir + '... | maoenti/ImageSeperator | imgSeperator.py | imgSeperator.py | py | 1,273 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "os.mkdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"lin... |
23220056133 | # coding=utf-8
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing... | nagyist/cloudify-docker-plugin | setup.py | setup.py | py | 1,479 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "setuptools.command.install.install",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "docker_installation.apt_get_wrapper.apt_get_wrapper.install_docker",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "docker_installation.apt_get_wrapper.apt_get... |
27878272745 | import os # for checking files in the directory
from anytree import Node, RenderTree # module for generating dependency trees
import json # module for reading .json files
from graphviz import Source # module for printing the attack tree on screen
from anytree.exporter import DotExporter # library for convertin... | TarekHamzaGoda/05_Module_5_ISM_AUG23 | 02_Assignment Part 2/generator/attacktrees.py | attacktrees.py | py | 8,882 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.pathsep",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "anytree.Node",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_num... |
13109037394 | import os
import sys
import time
import argparse
import numpy as np
from sklearn.datasets import load_diabetes
from sklearn.metrics import mean_squared_error
from sklearn.metrics import median_absolute_error
from sklearn.model_selection import train_test_split
here = os.path.abspath(os.path.dirname(__file__))
sys.pat... | jjbrophy47/daw | scripts/tests/regresssion/prediction.py | prediction.py | py | 4,163 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.abspath",
"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": "sys.path.insert",
"l... |
70561726760 | #! python3
# This program encrypts every .pdf file in a folder and
# tries to access all the pdfs in folder to make sure they
# were encrypted
import PyPDF2, os, sys
try:
path, key = sys.argv[1:]
os.chdir(path)
# Searching for PDFs:
for filename in os.listdir('.'):
if filename.end... | gabrielmsollero/Automate-the-boring-stuff-with-Python---Practical-projects | 044 - PdfParanoia.py | 044 - PdfParanoia.py | py | 2,162 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.chdir",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PyPDF2.PdfFileReader",
"line_numb... |
25111801249 | import pandas as pd
import streamlit as st
import matplotlib.pyplot as plt
import geopandas as gpd
import folium
from folium import Choropleth
from streamlit_folium import st_folium
import os
# ruta absoluta del script actual
current_dir = os.path.dirname(os.path.abspath(__file__))
# ruta relativa de los ficheros
csv... | vladiH/PDI | pages/2_Mapping.py | 2_Mapping.py | py | 4,896 | python | es | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
8338933195 |
from __future__ import print_function
import math
import datetime
from time import strftime
from IPython import display
from matplotlib import cm
from matplotlib import gridspec
from matplotlib import pyplot as plt
import numpy as np
import pandas as pd
import os
import csv as csv
from sklearn import metrics
from skl... | sparsh-ai/recohut | docs/10-datascience/challenges/fraud-activity/code.py | code.py | py | 6,035 | python | en | code | 91 | github-code | 18 | [
{
"api_name": "tensorflow.logging.set_verbosity",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tensorflow.logging",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "pandas.options",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_... |
38212921869 | # Cryptocurrency Portfolio
import os
import json
from datetime import datetime
from prettytable import PrettyTable
from colorama import Fore, Back, Style
from requests import Request, Session
from requests.exceptions import ConnectionError, Timeout, TooManyRedirects
from colorama import init
init()
convert = 'USD'
... | alexyushkin/Cryptocurrencies | cryptocurrency_portfolio.py | cryptocurrency_portfolio.py | py | 3,679 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "colorama.init",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "requests.exceptions.Connect... |
23524612650 | import tkinter as tk
from PIL import Image, ImageTk
from matplotlib.pyplot import legend
from lirexcel import lirexcel
from random import *
def nombre2hexa(n):
d = {0: '0', 1 : '1', 2: '2', 3: '3', 4: '4', 5: '5', 6: '6', 7: '7', 8: '8', 9: '9', 10: 'A', 11: 'B', 12: 'C', 13: 'D', 14: 'E', 15: 'F'}
a = n // ... | pcast31/Projet-avion | tk_ffichage.py | tk_ffichage.py | py | 16,958 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "tkinter.Tk",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "tkinter.Canvas",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "tkinter.Button",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
... |
2522284152 | # -*- coding: utf-8 -*-
""" Implements a Habitica synchronisation task.
"""
# Ensure backwards compatibility with Python 2
from __future__ import (
absolute_import,
division,
print_function,
unicode_literals)
from builtins import *
from datetime import datetime
from tzlocal import get_localzone
from .d... | DC23/scriptabit | scriptabit/habitica_task.py | habitica_task.py | py | 5,778 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "task.Task",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "task.Difficulty.default",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "task.Difficulty",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "task.Character... |
36601009146 | import pygame.font
class Button:
"""A class to represent a button on the screen"""
def __init__(
self,
msg,
main_path,
font="bpmono",
pos_x=None,
pos_y=None,
t_size=35,
t_color=(0, 0, 0),
b_height=50,
b_width=260,
b_color... | Ezequiel92/alien_invasion | src/button.py | button.py | py | 2,064 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.font.font.Font",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pygame.font.font",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "pygame.font",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "pygame.font.R... |
18174283256 | from django.urls import path, include
from . import views
urlpatterns = [
path('', views.home, name='home'),
path('delivery/', views.delivery, name='delivery'),
path('contact/', views.contact, name='contact'),
path('api/v1/', include('base.api.urls')),
]
| Salavei/clothing_store | base/urls.py | urls.py | py | 273 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
25408110131 | from typing import List
class Solution:
def intersect(self, nums1: List[int], nums2: List[int]) -> List[int]:
len_nums = len(nums2)
largest_num = nums2
smallest_num = nums1
if len(nums1) > len(nums2):
len_nums = len(nums1)
largest_num = nums1
sma... | TadakaSuryaTeja/LeetCode | LeetCode75/day_3/intersection_of_two_arrays_ii.py | intersection_of_two_arrays_ii.py | py | 562 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
42576521346 | import logging
def log_to_file(logfile: str):
logger = logging.getLogger("magic_duckdb")
logger.setLevel(logging.DEBUG)
file_handler = logging.FileHandler(logfile)
file_handler.setLevel(logging.DEBUG)
formatter = logging.Formatter(
"%(asctime)s - %(name)s - %(levelname)s - %(message)s"
... | iqmo-org/magic_duckdb | magic_duckdb/extras/logging_init.py | logging_init.py | py | 402 | python | en | code | 18 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "logging.FileHandler",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",... |
74514928038 | # Python code which will record only system sound only for 10 seconds and return the file name
import pyaudio
import wave
import sys
import time
CHUNK = 1024
FORMAT = pyaudio.paInt16
CHANNELS = 2
DEVICE_INDEX=1
RATE = 44100
RECORD_SECONDS = 10
FILE_NAME="Recording-"
TIMESTR = time.strftime("%Y-%m-%d--%Hh-%Mm-%Ss")
WAV... | balajibalajanc/Generic-Recorder-Catalyst | src/Utilities/test_Recorder.py | test_Recorder.py | py | 1,016 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyaudio.paInt16",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "time.strftime",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pyaudio.PyAudio",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "wave.open",
"li... |
24768191411 | from django.conf.urls import url,include
from . import views
from rest_framework import routers
urlpatterns = [
url(r'^$', views.index),
url(
r'^api/v1/users_fb/([a-zA-Z0-9]+)$',
views.get_user_fb,
name='get_user_fb'
),
url(
r'^api/v1/users_fb/$',
views.post_lo... | rhuam/tinsta | api/urls.py | urls.py | py | 1,231 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.c... |
4880722825 | from django.conf import settings
from django.core.management.base import BaseCommand
from myuser.models import UserProfile
from match_bet.models import Game, Tournament, Match, PanKou, Outcome
from notice.models import Notice
class Command(BaseCommand):
test_user_count = 3
test_users = []
def create_tes... | sentrywang/image | image/common/management/commands/create_test_data.py | create_test_data.py | py | 3,311 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "myuser.models.UserProfile.objects.filter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "myuser.models.UserProfile.objects",
"line_number": 17,
"u... |
31667492652 | import pybullet as p
# from time import sleep
import pybullet_data
import numpy as np
import matplotlib.pyplot as plt
import time
import sys
import make_body_plot as m
physicsClient = p.connect(p.DIRECT)
p.resetSimulation(p.RESET_USE_DEFORMABLE_WORLD)
p.setAdditionalSearchPath(pybullet_data.getDataPath())
planeId = p... | jpinkenburg/ece6680 | jonathan/figures/constant_force.py | constant_force.py | py | 9,330 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pybullet.connect",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pybullet.DIRECT",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pybullet.resetSimulation",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pybull... |
22257969661 | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_bcrypt import Bcrypt
from flask_login import LoginManager
# Initialize SQLAlchemy and Bcrypt extensions (not yet associated with any Flask app).
db = SQLAlchemy()
bcrypt = Bcrypt()
def create_app(config_name=None):
"""
Creat... | jorgegarcelan/web_apps | Recipes/__init__.py | __init__.py | py | 1,405 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_bcrypt.Bcrypt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask_login... |
37345493541 | import os
import pickle
import numpy as np
import collections
def traverse_dir(
root_dir,
extension=('mid', 'MID'),
amount=None,
str_=None,
is_pure=False,
verbose=False,
is_sort=False,
is_ext=True):
if verbose:
print('[*] Scanning...')
fi... | YatingMusic/compound-word-transformer | dataset/representations/uncond/cp/events2words.py | events2words.py | py | 3,716 | python | en | code | 249 | github-code | 18 | [
{
"api_name": "os.walk",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 4... |
29728876977 | import json
from tracardi.domain.resources.elastic_resource_config import ElasticResourceConfig, ElasticCredentials
from tracardi.service.plugin.domain.register import Plugin, Spec, MetaData, Documentation, PortDoc, Form, FormGroup, \
FormField, FormComponent
from tracardi.service.plugin.runner import ActionRunner... | Tracardi/tracardi | tracardi/process_engine/action/v1/connectors/elasticsearch/query/plugin.py | plugin.py | py | 5,369 | python | en | code | 430 | github-code | 18 | [
{
"api_name": "model.config.Config",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.JSONDecodeError",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "tracardi.ser... |
37626789603 | from __future__ import print_function
import Pyro4
import person
Pyro4.config.SERIALIZER = 'pickle'
Pyro4.config.SERIALIZERS_ACCEPTED.add('pickle')
Pyro4.config.REQUIRE_EXPOSE = True
Pyro4.config.DETAILED_TRACEBACK = True
class Warehouse(object):
def __init__(self):
self.contents = ["chair", "bike", "f... | anupkalburgi/cs675-assign1 | warehouse.py | warehouse.py | py | 963 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "Pyro4.config",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "Pyro4.config.SERIALIZERS_ACCEPTED.add",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "Pyro4.config",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name":... |
72089297961 | import numpy as np
from sklearn import svm
from sklearn.metrics import accuracy_score, confusion_matrix
import matplotlib.pyplot as plt
import seaborn as sns
def data_split(x, y, db):
train_indexes = np.where(db.tr == 1)[0]
test_indexs = [i for i in range(len(x)) if i not in train_indexes]
x_train, y_trai... | christianderrico/Reproduction-of-Multiple-Instance-Dictionary-Learning-for-Activity-Representation-study | testing_module.py | testing_module.py | py | 1,256 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.where",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "seaborn.heatmap... |
955141434 | from flask import Flask, render_template, url_for, request, redirect
import json
from datetime import datetime
app = Flask(__name__)
print(__name__)
@app.route("/")
def my_home():
return render_template("index.html")
@app.route("/success.html")
def my_success():
return render_template("success.html")
def sa... | D3vYuan/ztm-complete-python-developer | flask-interview/server.py | server.py | py | 1,144 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.... |
29996720199 | import matplotlib.pyplot as plt
def small_graph():
small_graph_dict = dict(kivi={'visoki', 'viroza'},
viroza={'zarazni'},
zarazni={'niski', 'nitrati', 'niti'},
niski={'kivi'},
visoki={'kivi'},
... | StringSuzana/kaladont_graphs | not_needed.py | not_needed.py | py | 4,194 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.show",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 68,
"usage_type": "name"
}
] |
75066280359 | #!usr/bin/env python3
# coding=utf-8
# @IDE :PyCharm
# @File :vtk_save.py
# @Date :2019/5/8
from vtk.util.vtkImageImportFromArray import *
import vtk
import SimpleITK as sitk
import cv2
import numpy as np
def getSeg(source, mask):
source = np.reshape(source,(512,512))
mask = np.reshape(mask,(512,512))... | lgdlkq/sliver_07_CT | test/vtk_save.py | vtk_save.py | py | 5,396 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "numpy.reshape",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.getStructuringElement",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.MORPH_RECT"... |
5912889269 | import setuptools
with open("./README.md", "r") as file:
long_description = file.read()
setuptools.setup(
name="httpcats",
version="1.1.1",
author="itsmewulf",
author_email="wulf.developer@gmail.com",
description="Get URLs to your favourite HTTP Cats easily!",
long_description=l... | itsmewulf/httpcats | setup.py | setup.py | py | 769 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 16,
"usage_type": "call"
}
] |
6233020867 | from django.contrib import admin
# import from apps here
from app_control.models import FunctionController
class FunctionControllerAdmin(admin.ModelAdmin):
"""
功能开关表注册设置
"""
list_display = ("func_code", "func_name", "enabled", "create_time", "func_developer")
list_filter = ("func_code",)
sea... | Tencent/bk-base | src/dataweb/app/app_control/admin.py | admin.py | py | 433 | python | en | code | 85 | github-code | 18 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.site.register",
"line_number": 17,
"usage_type": "call"
},... |
10424651419 | print('='*12 + ' DESAFIO 41 ' + '='*12)
from datetime import date
ano = int(input('Digite seu ano de nascimento: '))
idade = date.today().year - ano
print('O atleta tem {} anos.'.format(idade))
if idade <= 9:
classe = 'Mirim'
elif 9 < idade <= 14:
classe = 'Infantil'
elif 14 < idade <= 19:
classe = 'Junior'... | GabrielG-tech/Curso-em-Video | Mundo 2/Exercicios/ex41.py | ex41.py | py | 452 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "datetime.date.today",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 4,
"usage_type": "name"
}
] |
16560764692 | from setuptools import setup, find_packages
VERSION = '0.0.1'
DESCRIPTION = 'A package with useful functions relating to space.'
setup(
name="Spacemath",
version=VERSION,
author="Periareion (Anton Sollman)",
author_email="<periareion05@gmail.com>",
description=DESCRIPTION,
packages=find_packag... | Periareion/Spacemath | setup.py | setup.py | py | 600 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 12,
"usage_type": "call"
}
] |
36380445358 | import os
import traceback
from django.core.management.base import BaseCommand, CommandError, NoArgsCommand
from django.conf import settings
from azurepython3.blobservice import BlobService
class Command(NoArgsCommand):
help = """Migrate from an existing FileSystemStorage to AzureStorage.
When executing the comma... | Bunkerbewohner/azurepython3 | azurepython3/management/commands/azuremigrate.py | azuremigrate.py | py | 2,266 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "django.core.management.base.NoArgsCommand",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.exists",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "... |
32196252578 | import pandas as pd
import torch
import torch.nn as nn
import torch.nn.functional as F
import matplotlib.pyplot as plt
from matplotlib import gridspec
import numpy as np
import random
from matplotlib import rc
# rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
## for Palatino and other serif fonts use:
... | adehad/ASPMI | Python/Q4/utilities.py | utilities.py | py | 6,987 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.rc",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_n... |
10339825042 | #!/usr/bin/python3
import os
import sys
import re
import operator
from pathlib import Path
RECURSION_LIMIT = 9500
sys.setrecursionlimit(RECURSION_LIMIT + 10)
def count(word_list, ignore_words, word_freqs):
if word_list == []:
return
else:
word = word_list[0]
if word not in ignore_wo... | HoYaStudy/Python_Study | ProgrammingStyle/07-infinite-mirror/prog07.py | prog07.py | py | 1,055 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "sys.setrecursionlimit",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path.cwd",
... |
19701692250 | from __future__ import print_function
import numpy as np
from PIL import Image
import os
import sys
import glob
import shutil
from argparser import args
train_examples_per_shape = args.n
test_examples_per_shape = max(1, train_examples_per_shape / 10)
image_w = 400
image_h = 400
shape_w = 50
shape_h = 50
max_x_nois... | vankov/translation_invariance | make.py | make.py | py | 4,363 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparser.args.n",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "argparser.args",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "argparser.args.noise",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "argpar... |
14951674021 | # A part of NonVisual Desktop Access (NVDA)
# This file is covered by the GNU General Public License.
# See the file COPYING for more details.
# Copyright (C) 2019 NV Access Limited
"""Unit tests for the orderedWinEventLimiter module.
"""
import inspect
import re
import unittest
from typing import List, Iter... | nvaccess/nvda | tests/unit/test_orderedWinEventLimiter.py | test_orderedWinEventLimiter.py | py | 12,384 | python | en | code | 1,802 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "winUser.EVENT_SYSTEM_FOREGROUND",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "winU... |
71801680360 | import string
from copy import copy
from random import sample
import numpy as np
import pytest
import filter_functions as ff
from filter_functions import numeric
from tests import testutil
from tests.testutil import rng
from . import qutip
plotting = pytest.importorskip('filter_functions.plotting',
... | qutech/filter_functions | tests/test_plotting.py | test_plotting.py | py | 15,160 | python | en | code | 14 | github-code | 18 | [
{
"api_name": "pytest.importorskip",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tests.testutil.rand_pulse_sequence",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tests.testutil",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": ... |
4001461424 | import atexit
import os
import re
import socket
import threading
import uuid
from tensorflow.core.framework import graph_debug_info_pb2
from tensorflow.core.framework import tensor_pb2
from tensorflow.core.protobuf import debug_event_pb2
from tensorflow.python.debug.lib import debug_events_writer
from tensorflow.pytho... | tensorflow/tensorflow | tensorflow/python/debug/lib/dumping_callback.py | dumping_callback.py | py | 38,755 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "threading.local",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tensorflow.python.util.compat.as_bytes",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "tensorflow.python.util.compat",
"line_number": 33,
"usage_type": "name"
},
{
... |
1341070260 | # Created by matveyev at 04.08.2021
import numpy as np
from PyQt5 import QtWidgets, QtCore
import logging
from petra_viewer.main_window import APP_NAME
from petra_viewer.gui.array_selector_ui import Ui_ArraySelector
logger = logging.getLogger(APP_NAME)
class ArraySelector(QtWidgets.QWidget):
def __init__(self,... | yamedvedya/data_viewer | petra_viewer/widgets/array_selector.py | array_selector.py | py | 9,830 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "petra_viewer.main_window.APP_NAME",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 12,
"usage_type": "attribute"
},
{
... |
9042941066 | #-----------------------------------------------------------------------------
# ------------------------------------------------------- wortlabyrinth.py m n
# ------------------------------------------------------- erstellt: 01.02.2022
#-----------------------------------------------------------------------------
... | jtympel/wortlabyrinth | wortlabyrinth.py | wortlabyrinth.py | py | 6,331 | python | de | code | 0 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "string.ascii_letters",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sys.setrecursionlimit",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.ar... |
18031503363 | from typing import Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions import RelaxedOneHotCategorical
class Codebook(torch.nn.Embedding):
"""VQ-VAE Codebook.
Implements the algorithm presented in "Neural Discrete Representation Learning"
[https://arxiv.org/... | maxjcohen/vqvae | vqvae/codebook.py | codebook.py | py | 9,424 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.finfo",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "torch.Tensor",
"line_... |
35157488065 | from __future__ import annotations
import re
import urllib.parse
from functools import partial
from typing import Any
from bs4 import BeautifulSoup
from markdownify import MarkdownConverter # type: ignore
import aiohttp
try:
import lxml # type: ignore
HTML_PARSER = "lxml"
except ImportError:
HTML_PARS... | rtk-rnjn/TelegramBot | rtfm/_ref.py | _ref.py | py | 5,618 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "markdownify.MarkdownConverter",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "aiohttp.ClientSession",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "bs4.Be... |
25857633342 | # Define here the models for your spider middleware
#
# See documentation in:
# https://docs.scrapy.org/en/latest/topics/spider-middleware.html
import random
from scrapy import signals
import pymysql
# useful for handling different item types with a single interface
from itemadapter import is_item, ItemAdapter
class... | joedlut/spider | python_spider/boss_pro/boss_pro/middlewares.py | middlewares.py | py | 3,897 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scrapy.signals.spider_opened",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "scrapy.signals",
"line_number": 62,
"usage_type": "name"
},
{
"api_name": "random.choice",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "random... |
29565811866 | from parse import convert_to_graph, get_info
from rotation import randAngle, shuffleEdges, angleConvert, rotateGraph
from restore import restore
from plot import plot_graph_3d as plot
MIN_ANGLE = 0.0001745329252
if __name__ == '__main__':
name = 'Antazoline'
raw = get_info(name)
graph = convert_to_graph(r... | Mathless/molecule_rotation | main.py | main.py | py | 1,954 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "parse.get_info",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "parse.convert_to_graph",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "rotation.shuffleEdges",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "rotation.... |
13678841434 | import main
import matplotlib.pyplot as plt
import numpy as np
angles = []
dtheta = 3.14 / 100
theta = 0
F = np.zeros(int(main.T / main.dt) * 2 + 2)
modules = np.zeros(int(main.T / main.dt) + 1)
for i in range(0, int(main.T / main.dt)):
if i<main.T/main.dt/6:
F[2 * i], F[2 * i + 1] = np.cos(0), np.sin(0)
... | Ulimit-Wynn/TIPE | trajectory_graher.py | trajectory_graher.py | py | 879 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "main.T",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "main.dt",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 8,... |
36669730573 | import time
import gobject
import gtk
import logging
from miro import app
from miro import player
from miro.gtcache import gettext as _
from miro import signals
from miro import util
from miro import messages
from miro import displaytext
from miro.plat import resources
from miro.plat import screensaver
from miro.fron... | cool-RR/Miro | tv/lib/frontends/widgets/gtk/video.py | video.py | py | 24,846 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "miro.frontends.widgets.gtk.widgetset.Widget",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "miro.frontends.widgets.gtk.widgetset.Widget.__init__",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "miro.frontends.widgets.gtk.widgetset.Widget",
... |
19918672862 | from flask import Blueprint, request, jsonify
from flask_cors import cross_origin
from database_functions.db_connection.connection import connection
from database_functions.account.token_auth_flow import refresh_token
from database_functions.groups.insertion_functions import insert_into_group_table, insert_into_pending... | anurag-as/Costrajectory | backend/api/groups/add_users.py | add_users.py | py | 3,833 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Blueprint",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.json",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "database_functi... |
1342299584 | import sys
sys.path.insert(0, r'D:\Projects\aaadoc')
from statistics import mean, median
from collections import Counter
from src.utils.utils import get_files_in_from_directory
from src.loaders.NvdLoader import NvdLoader
from src.loaders.OsvLoader import OsvLoader
from src.loaders.OmniLoader import OmniLoader
import j... | NewWwest/masters-project | src/recalls/calculate_recall.py | calculate_recall.py | py | 22,766 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.insert",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "dateutil.parser.parse",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "dateutil.parser",
... |
33424409741 | #!/usr/bin/env python3
'''
Filename:
obtainMAData.py
Purpose:
This file is used to obtain and clean the data of new covid cases reported by
the state of Massachusetts. It will output the data into a file that can be
easily added to the database.
How to Execute:
$ python3 obtainMAData.py --output MAoutput.csv
'''
###... | tomcairns1/NortheasternCovidTesting | bin/obtainMAData.py | obtainMAData.py | py | 1,998 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.stderr",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
... |
19171431215 | import ssl
import socket
import time,datetime
import requests
from requests.exceptions import ReadTimeout
import json
import re
from json import JSONDecodeError
from config import *
from pyquery import PyQuery as pq
class Cert_check(object):
def __init__(self,domain):
self.domain = domain
self.sslc... | lin-zh-cn/1test | 9/OPcenter-slave/check_cert.py | check_cert.py | py | 6,257 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "ssl.create_default_context",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "time.mktime",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "time.strptime",
... |
40914609828 | import logging
from calendar import day_abbr, month_abbr, month_name
from datetime import date, datetime, timedelta
from typing import List, Optional, Tuple, Dict
import discord
from discord import app_commands
import requests
from dateutil.rrule import rrulestr
from discord.ext import commands
from icalendar import C... | UQComputingSociety/uqcsbot-discord | uqcsbot/events.py | events.py | py | 12,180 | python | en | code | 19 | github-code | 18 | [
{
"api_name": "typing.Dict",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "calendar.month_abbr",
"line_number": 25,
"usage_type": "argument"
},
{
"api_name": "pytz.timezone",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "typing.Tuple",
... |
33029305152 | from matplotlib.figure import Figure
from matplotlib.pyplot import imread
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from numpy import ndarray
from PyQt5.QtCore import QThread, pyqtSignal
class ImgFigure(FigureCanvas):
def __init__(self, dpi=100):
self.fig = Figure(dp... | aeinrw/LIME | GUI/utli.py | utli.py | py | 1,068 | python | en | code | 51 | github-code | 18 | [
{
"api_name": "matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.figure.Figure",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.QThread",
"line_number": 17,
"usage_type": "nam... |
4429798127 | from django.shortcuts import render
from stove.models import State
from django.http import HttpResponse, JsonResponse
from django.views.decorators.csrf import csrf_exempt
import json
# Create your views here.
@csrf_exempt
def index(request):
return render(request, 'index.html')
def getState(request):
result... | rohanmanatkar/Smart-Stove | Web Server and Client/smart_stove/stove/views.py | views.py | py | 1,475 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.views.decorators.csrf.csrf_exempt",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "stove.models.State.get_state",
"line_number": 15,
"usage_type": "call"
... |
41897229265 | #!/usr/bin/env python
import numpy as np
from sklearn.model_selection import KFold
from scipy import interpolate
def sorted_nparray_last_argmin(arr, min_val=None):
if min_val is None:
min_val = arr.min()
for idx in range(len(arr)):
if arr[idx] > min_val:
min_idx = idx - 1
... | walkoncross/lfw-evaluation-zyf | evaluation_10folds/roc.py | roc.py | py | 8,915 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "numpy.arange",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.less",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.logical_and",
"line_numbe... |
72113761001 |
from itertools import product
import time
import re
import requests
from bs4 import BeautifulSoup
from .common import Common
from domains.models import Domain, Trademark, Url
from conditions.models import NG_Keyword_Condition
from products.models import Product
from results.models import Check_Result
class NgCheck(Co... | Daisuke-lab/django_next_sample | backend/backend_module/ng_check.py | ng_check.py | py | 4,027 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "common.Common",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "results.models.Check_Result.objects.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "results.models.Check_Result.objects",
"line_number": 16,
"usage_type": "attribute"
... |
70406537641 | import json
def input_number():
"""用户输入喜欢的数字"""
try:
number = int(input('Please in put your favorite number: '))
except ValueError:
print('Please input the number')
else:
filename = 'number_1.json'
with open(filename, 'w') as file_object:
json.dump(number,fi... | RyanLin1995/python | PythonLearning/training/10.4(存储数据)/10-11.py | 10-11.py | py | 779 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.dump",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 22,
"usage_type": "call"
}
] |
75032646759 | # -*- coding:utf-8 -*-
from mako import runtime, filters, cache
UNDEFINED = runtime.UNDEFINED
__M_dict_builtin = dict
__M_locals_builtin = locals
_magic_number = 10
_modified_time = 1438909689.735831
_enable_loop = True
_template_filename = '/Users/mq20155490/Desktop/CEL/abstrackr_test/abstrackr/templates/reviews/show_... | GuizhiShi/Abstrackr | data/templates/reviews/show_review.mako.py | show_review.mako.py | py | 4,545 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "mako.runtime.UNDEFINED",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "mako.runtime",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "mako.runtime._inherit_from",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "mak... |
22217100320 |
import json
from django.http import JsonResponse
from django.views import View
from owners.models import Owner, Dog
class OwnersView(View):
# """
# 목적: Client가 보내주는 owner정보(name, age, email) 등록 요청에 맞게 owner테이블 in database 에 저장
# Input:
# {
# 'name' = '홍길동'
# 'age' = 20
# 'email' = asd@gmail.com
# }
... | jhwang0801/Django_CRUD2 | owners/views.py | views.py | py | 4,286 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.views.View",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "owners.models.Owner.objects.create",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "owner... |
41696842995 | from collections import defaultdict
import matplotlib.pyplot as plt
import numpy as np
from hrv.classical import time_domain
from hrv.rri import RRi
__all__ = ["time_varying"]
class TimeVarying:
def __init__(self, rri, results, rri_segments, seg_size, overlap):
self.rri = rri
self.results = re... | rhenanbartels/hrv | hrv/nonstationary.py | nonstationary.py | py | 2,313 | python | en | code | 176 | github-code | 18 | [
{
"api_name": "numpy.median",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 49,
"usage_type": "name"
},
{
"api_name": "matplotlib.... |
14462473403 | # def get_username():
# user_name = "bhandariayush_"
# return user_name
#
#
# def get_api(user_name):
# return "https://www.instagram.com/{0}/?__a=1".format(user_name)
import requests
from insta_profile import InstaProfile
#diff
list_username = [
"minionish_1994",
"nvnainaverma",
"komaldegwekar... | ayushbhandari02/instagram-followers | insta_followers_dict.py | insta_followers_dict.py | py | 4,172 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 156,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 157,
"usage_type": "attribute"
}
] |
37236895720 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Trains and tests a loudness-threshold classifier for every given .pkl file.
For usage information, call without any parameters.
Author: Jan Schlüter
"""
from __future__ import print_function
import sys
import os
from argparse import ArgumentParser
import numpy as ... | f0k/ismir2018 | experiments/loudness_eval.py | loudness_eval.py | py | 4,037 | python | en | code | 11 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
... |
72517697641 | from kivy.app import App
# from kivy.uix.widget import Widget
from kivy.uix.label import Label
from kivy.uix.button import Button
from kivy.uix.boxlayout import BoxLayout
from kivy.core.window import Window
import logging
from random import randint
# Настройка уровня логирования
logging.basicConfig(level=logging.WARNI... | DSGranat/Diva | main.py | main.py | py | 1,455 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.WARNING",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "kivy.core.window.Window.size",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_na... |
8203303296 | from flask import Flask
from flask_restful import Api
from flask_jwt_extended import JWTManager
from user import UserRegister
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///data.db'
app.config['PROPAGATE_EXCEPTIONS'] = True
app.config['JWT_SECRET_KEY'] = 'jwt-secret-string'
api = Api(app)
... | ConnorSiXiong/Flask_todo_project | login_demo/app.py | app.py | py | 688 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_restful.Api",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask_jwt_extended.JWTManager",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "user.UserR... |
74619495398 | from sqlalchemy import and_
import db
from db.models.alienvault import Hids_Agents
from apimethods.decorators import require_db
from apimethods.utils import get_bytes_from_uuid
from apimethods.utils import get_hex_string_from_uuid
from apimethods.utils import get_uuid_string_from_bytes
from apiexceptions.sensor imp... | jpalanco/alienvault-ossim | alienvault-api/alienvault-api-core/src/db/methods/hids.py | hids.py | py | 13,307 | python | en | code | 114 | github-code | 18 | [
{
"api_name": "api_log.error",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "apiexceptions.asset.APICannotResolveAssetID",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "apimethods.utils.get_hex_string_from_uuid",
"line_number": 47,
"usage_type": "c... |
3999895844 | import ast
import collections
import textwrap
import gast
from tensorflow.python.autograph.pyct import anno
from tensorflow.python.autograph.pyct import ast_util
from tensorflow.python.autograph.pyct import loader
from tensorflow.python.autograph.pyct import parser
from tensorflow.python.autograph.pyct import pretty_... | tensorflow/tensorflow | tensorflow/python/autograph/pyct/ast_util_test.py | ast_util_test.py | py | 8,058 | python | en | code | 178,918 | github-code | 18 | [
{
"api_name": "tensorflow.python.platform.test.TestCase",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.python.platform.test",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "gast.parse",
"line_number": 19,
"usage_type": "call"
},
... |
40704101110 | # __author: Administrator
# __date: 2019/5/28/028
import requests
from pprint import pprint
class BiBi:
def __init__(self, url):
self.url = url
def run(self):
self.header = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome... | VonsName/secondPy | secondDay/BiBi.py | BiBi.py | py | 799 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 17,
"usage_type": "call"
}
] |
27908623842 | #Read user input
#Clean string
#Analyze sentiment
#Output result
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
from textblob import TextBlob
def clean_my_string(a_string):
a_string = word_tokenize(a_string)
not_stop_words = [word for word in a_string
if wor... | XrossFox/nltk_tests | nltk_analysis_test/input_nltk_test.py | input_nltk_test.py | py | 1,061 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "nltk.tokenize.word_tokenize",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords.words",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "nltk.corpus.stopwords",
"line_number": 13,
"usage_type": "name"
},
{
"api... |
72272713321 | import cv2
import argparse
from openpose import Openpose, draw_person_pose
# load model
openpose = Openpose(weights_file = "C:\\Users\\root\\Desktop\\1\\models\\posenet.pth", training = False)
# read image
img = cv2.imread("C:\\Users\\root\\Desktop\\1\\test\\rh.jpeg")
# inference
poses, _ = openpose.detect(img,)
# ... | kamalsairajk/Pose-Mirroring-using-Nao | pose_detect.py | pose_detect.py | py | 1,940 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "openpose.Openpose",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "openpose.detect",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "openpose.draw_person_pose"... |
73568419241 | """
Build a properly encoded payload to test log ingestion without needing to invoke
the lambda.
"""
import json
import sys
import gzip
import base64
# Returns a json string of encoded data
# File should *only* contain decoded and unzipped message payload from lambda function
def get_message_from_file(filename):
... | newrelic/aws-log-ingestion | test/build-encoded-file.py | build-encoded-file.py | py | 1,740 | python | en | code | 46 | github-code | 18 | [
{
"api_name": "json.dumps",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 31,
... |
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