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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
26113241125 | __authors__ = ["T. Vincent"]
__license__ = "MIT"
__date__ = "02/03/2018"
import functools
import numpy
from silx.utils.testutils import LoggingValidator
from silx.gui import qt
from silx.gui.plot import PlotWindow
from silx.gui.plot import tools
from silx.gui.plot.test.utils import PlotWidgetTestCase
class TestPos... | silx-kit/silx | src/silx/gui/plot/tools/test/testTools.py | testTools.py | py | 3,531 | python | en | code | 106 | github-code | 6 | [
{
"api_name": "silx.gui.plot.test.utils.PlotWidgetTestCase",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "silx.gui.plot.PlotWindow",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "silx.gui.qt.QToolBar",
"line_number": 37,
"usage_type": "call"
},
... |
18004085485 | """
Full model
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
# https://github.com/erikwijmans/Pointnet2_PyTorch
from pointnet2_ops.pointnet2_modules import PointnetFPModule, PointnetSAModule
from pointnet2.models.pointnet2_ssg_cls import PointNet2C... | PKU-EPIC/UniDexGrasp | dexgrasp_policy/dexgrasp/algo/pn_utils/model_3d.py | model_3d.py | py | 2,213 | python | en | code | 63 | github-code | 6 | [
{
"api_name": "pointnet2.models.pointnet2_ssg_cls.PointNet2ClassificationSSG",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torch.nn.ModuleList",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 18,
"usage_type": "name"
},... |
6942888873 | #!/usr/bin/env python3
import rospy
from ros_assignment.srv import Trajectory, TrajectoryResponse
import matplotlib.pyplot as plt
class TrajectoryServer:
def __init__(self):
rospy.init_node('trajectory_server')
self.state = {'x': 0.0, 'y': 0.0}
self.default_vx = 1.0
self.default_vy... | Suraj945gh/Antariksh | ros_assignment/scripts/trajectory_server.py | trajectory_server.py | py | 1,532 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rospy.init_node",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "rospy.Service",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ros_assignment.srv.Trajectory",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "rospy.... |
28075986130 | import numpy as np
from matplotlib import pyplot as plt
import utility as ut
import network as nt
from tqdm import tqdm as tqdm
import plot as pt
# mnist
spiking_input = False
labels = [2, 4]
(x_train, y_train), (x_test, y_test) = ut.mnist.load_data()
selection = [y_test == label for label in labels]
minimum_length =... | zimmerrol/spiking-bayesian-networks | mnist_continuous.py | mnist_continuous.py | py | 2,201 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "utility.mnist.load_data",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "utility.mnist",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "numpy.sum",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.any",
... |
9838859435 | import face_recognition as fr
from PIL import Image,ImageDraw
class Predict:
def __init__(self, n, enc):
self.names = n
self.encodings = enc
def get_name(self,img,fl):
fen=fr.face_encodings(img,fl)
names=[]
for (t,r,b,l),face_en in zip(fl,fen):
matches=fr.com... | shreyashgupta/Face-Recognition-System | Backend + Rpi/predict.py | predict.py | py | 556 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "face_recognition.face_encodings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "face_recognition.compare_faces",
"line_number": 12,
"usage_type": "call"
}
] |
7246721636 | from collections import Counter
from menu import products
def get_product_by_id(id: int):
if not isinstance(id, int):
raise TypeError("product id must be an int")
for product in products:
if product["_id"] == id:
return product
return {}
def get_products_by_type(type: str):
... | Marchi8/python_kiosque | management/product_handler.py | product_handler.py | py | 1,818 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "menu.products",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "menu.products",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "menu.products",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "menu.products",
"line_nu... |
70143328827 | from django.db import models
from django.contrib.auth.models import User
from django.dispatch import receiver
from django.apps import apps
from django.db.models.signals import post_save
from auditlog.registry import auditlog
from .validators import validate_external_consistency
# Let's set a default category ("Misc"... | JokusPokus/pcb_shop | src/article/models.py | models.py | py | 3,863 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.db.models.PositiveIntegerField",
"line_number": 18,
"usage_type": "call"
},
{
... |
39455194468 | import readline, os, sys, argparse, traceback, time
import re
import itertools
from suomilog.patternparser import ERROR_STACK, setDebug, PatternRef, Grammar, groupCauses
from suomilog.finnish import tokenize, CASES, addNounToDictionary
from .language import *
from .tokenutils import *
GRAMMAR = Grammar()
GRAMMAR_STAC... | fergusq/retki | retki/compiler.py | compiler.py | py | 64,836 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "suomilog.patternparser.Grammar",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "suomilog.patternparser.Grammar",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 134,
"usage_type": "call"
},
{
"a... |
7641597433 | """ Tests for :py:mod:`stems.gis.projections`
"""
from osgeo import osr
from rasterio.crs import CRS
import pytest
from stems.gis import projections
from stems.gis.tests import data
PROJ_EPSG = [4326, 3857, 32619]
# ============================================================================
# EPSG code
@pytest.mar... | ceholden/stems | stems/gis/tests/test_gis_projections.py | test_gis_projections.py | py | 4,585 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "rasterio.crs.CRS.from_epsg",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "rasterio.crs.CRS",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "stems.gis.projections.epsg_code",
"line_number": 19,
"usage_type": "call"
},
{
"api_n... |
1867975179 | from flask_app import app
from flask import render_template, redirect, session, request
from flask_app.models.author import Author
from flask_app.models.book import Book
# ========================================
# Main Page / Dashboard
# ========================================
@app.route("/books")
def books():
... | amlodzianowska/5_books_authors_demo | flask_app/controllers/books.py | books.py | py | 1,361 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask_app.models.book.Book.get_books_with_authors",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask_app.models.book.Book",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
"line_number": 14,
"usage_type": "ca... |
12288763491 | #-*- coding: utf-8 -*-
#使用ID3决策树算法预测销量高低
import pandas as pd
inputfile = r'D:\DataAnalysis\Python_practice\chapter5\demo\data\sales_data.xls'
data = pd.read_excel(inputfile, index_col = u'序号')
#数据是类别标签，要将它转化为数值
#用1来表示“好、是、高”，用-1来表示“坏、否、低”
data[data == u'好'] = 1
data[data == u'是'] = 1
data[data == u'高'] = 1
data[data... | woinews/Python_Practice | decision_tree.py | decision_tree.py | py | 1,403 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "pandas.read_excel",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sklearn.tree.DecisionTreeClassifier",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": ... |
70777983228 | import math
import random
import time
import nltk
from nltk.translate.bleu_score import sentence_bleu
import numpy as np
import sklearn
from nltk.translate.meteor_score import meteor_score
from torch import nn
import torch
from torch.optim import Adam,SGD,RMSprop,Adagrad,Adadelta,Adamax,AdamW
from torch.utils.data imp... | stefanos50/Seq2Seq-Machine-Translation | Seq2Seq.py | Seq2Seq.py | py | 18,170 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.download",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "torch.optim.Adam",
"l... |
2788164997 | import re
import numpy as np
import pandas as pd
import preprocessor as p
from nltk.stem.porter import *
from sklearn.cluster import KMeans
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer, TfidfTransformer
import csv
def distCosin(vecA, vecB):
# # Vec = np.vstack([vecA,vecB])
# # ... | jackyluo-learning/big_data_sentimental_analysis | sentiment_analysis_experiment_local/tf-idf.py | tf-idf.py | py | 4,258 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.mat",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.mat",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number... |
40372678215 | #!/usr/bin/python
# -*- coding: utf-8 -*-
import mock
import unittest
from cloudshell.networking.huawei.flows.huawei_save_flow import HuaweiSaveFlow
class TestHuaweiSaveFlow(unittest.TestCase):
def setUp(self):
cli_handler = mock.MagicMock()
logger = mock.MagicMock()
super(TestHuaweiSave... | DYeag/cloudshell-networking-huawei | tests/networking/huawei/flows/test_huawei_save_flow.py | test_huawei_save_flow.py | py | 5,032 | python | en | code | null | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "mock.MagicMock",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mock.MagicMock",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cloudshell.netwo... |
14715350667 | import sys
sys.path.insert(0, './Maps')
import pandas as pd
from joblib import dump, load
import psycopg2
import warnings
warnings.filterwarnings('ignore', category=FutureWarning)
from datetime import datetime
import random
import statistics
import MapQueries
import csv
def predict(XGB, mapid, addDB):
#print(XG... | LiamRalph/CS-DB | Models/Maps/Predict.py | Predict.py | py | 1,405 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.insert",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "MapQueries.getData... |
3690154277 | import sys
import os
import json
from copy import deepcopy
from glob import glob
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from scipy.ndimage import label
from scipy.optimize import linear_sum_assignment
from sklearn import metrics
from .const import *
from .util... | samperochon/unsupervised_action_segmentation_of_untrimmed_egocentric_videos_ICASSP2023 | src/metrics.py | metrics.py | py | 9,747 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "os.makedirs",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_num... |
30969944618 | import math
import random
import pygame
from objects.Bullet import Bullet
from Constants import Constants
from objects.Enemy import Enemy
from Enum import TankType
from gamecore.Game import Game
from gamecore.GameObject import GameObject
from objects.Player import Player
from objects.Player2 import Player2
from gamecor... | lenghia2797/TankPyGame | GameScene.py | GameScene.py | py | 10,503 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "random.random",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "gamecore.Scene.Scene",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "gamecore.Game.Game",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "gamecore.SceneM... |
23760195858 | import re
from selenium import webdriver
import time
from selenium.webdriver.common.keys import Keys
example = ""
driver = webdriver.Firefox()
driver.get(
"https://translate.google.fr/?hl=fr#view=home&op=translate&sl=zh-CN&tl=fr&text=%E9%87%8F%E5%8C%96%E5%BA%A6%E9%87%8F")
source = driver.find_element_by_i... | chrche88/scrappers | trad.py | trad.py | py | 767 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "re.sub",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "re.DOTALL",
"l... |
32584262084 | from typing import Dict
from .task import Task
class TaskLabeled(Task):
def __init__(self, name: str, token: str, label: str = ''):
Task.__init__(self, name=name, token=token)
self.label = label
self.nameLabeled = self.name
if self.label == '':
return
self.nam... | Cloudslab/FogBus2 | containers/master/sources/utils/master/registry/types/taskLabeled.py | taskLabeled.py | py | 821 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "task.Task",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "task.Task.__init__",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "task.Task",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": ... |
70398643067 | """helper functions for field of view (FOV)
Author: Keisuke Okumura
Affiliation: TokyoTech & OSX
"""
from __future__ import annotations
import math
import cost_to_go_wrapper
import numpy as np
from skimage.draw import disk
def get_map_coord_2d(pos: np.ndarray, map_size: int) -> tuple[int, int]:
"""compute x, y... | omron-sinicx/ctrm | src/ctrm/learning/fov.py | fov.py | py | 2,215 | python | en | code | 21 | github-code | 6 | [
{
"api_name": "numpy.ndarray",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "math.ceil",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"li... |
35078120684 | from collections import defaultdict
def load_data(inp_file):
data = {}
with open(inp_file, 'r', encoding='utf-8') as f:
lines = list(f.readlines())
line_nums = len(lines)
index = 0
while index < line_nums:
pair_index, pair_line_nums = [int(z) for z in lines[index].strip().split()]
index += 1
pair_la... | chenying3176/PairGCN_ECPE | stat.py | stat.py | py | 1,969 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 53,
"usage_type": "call"
}
] |
10952142836 | # import libraries
import sys
import pandas as pd
import numpy as np
import sqlite3
import sqlalchemy
from sqlalchemy import create_engine
def load_data(messages_filepath, categories_filepath):
"""
Function to load and merge 2 datasets from the filepaths
Parameters:
messages_filepath: messages csv fi... | nmutham/Disaster-Response-Pipeline | data/process_data.py | process_data.py | py | 3,829 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.create_engin... |
17782892054 | from IPython.core.getipython import get_ipython
from IPython.core import magic_arguments
from IPython.core.magic import (Magics, magics_class, line_magic, cell_magic, line_cell_magic)
from IPython.core.magic import register_cell_magic,register_line_cell_magic
from IPython.core.error import UsageError
from IPython.utils... | benmizrahi/jupyter-extra-magics | extra_magics/bq_estimation.py | bq_estimation.py | py | 3,548 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "IPython.core.magic.Magics",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "IPython.core.magic_arguments.parse_argstring",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "IPython.core.magic_arguments",
"line_number": 33,
"usage_type": "n... |
33917778472 | from __future__ import absolute_import, division, print_function
import re
import json
import logging
from StringIO import StringIO
from datetime import datetime
from flask import url_for, current_app
from inspire_dojson.utils import strip_empty_values
from inspire_schemas.utils import validate
from inspire_utils.rec... | SCOAP3/scoap3-next | scoap3/modules/workflows/workflows/articles_upload.py | articles_upload.py | py | 14,885 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "flask.current_app.config.get",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "flask.current_app.config",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_... |
14456954601 | import time
import json
import urllib
from core.dependence import urllib2
import http.client
import argparse
import socket
import sys
import os
from core.utils import utils
import subprocess
import requests
import hashlib, binascii
from threading import Timer
from multiprocessing import Process
import atexit
class Tr... | jofpin/trape | core/trape.py | trape.py | py | 17,693 | python | en | code | 7,770 | github-code | 6 | [
{
"api_name": "core.utils.utils.generateToken",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "core.utils.utils",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "core.utils.utils.generateToken",
"line_number": 24,
"usage_type": "call"
},
{
"ap... |
73500677948 | from job_sources import BaseJobsCrawler, JobItem
from scrapy.http import Request
from scrapy.contrib.spiders import Rule
from scrapy.contrib.linkextractors import LinkExtractor
class SoCareersSpider(BaseJobsCrawler):
name = 'so-careers'
allowed_domains = ['careers.stackoverflow.com']
start_urls = ['http:/... | iximiuz/CareersAnalyzer-grabber | careers_analyzer/job_sources/so_careers.py | so_careers.py | py | 2,079 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "job_sources.BaseJobsCrawler",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "scrapy.contrib.spiders.Rule",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "scrapy.contrib.linkextractors.LinkExtractor",
"line_number": 11,
"usage_type": "ca... |
42587928236 | import tweepy
import dataset
import json
from tweepy import StreamListener
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
from textblob import TextBlob
from models import *
from config import *
analyser = SentimentIntensityAnalyzer()
def sentiment_score(text):
return analyser.polarity_scores(... | paulinaczheng/twitter-location | twitter_package/tweet-stream1.py | tweet-stream1.py | py | 4,401 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "vaderSentiment.vaderSentiment.SentimentIntensityAnalyzer",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tweepy.StreamListener",
"line_number": 49,
"usage_type": "attribute"
... |
19378180475 | import pandas as pd
BHNames= ['crim','zn','indus','chas','nox','rm',
'age','dis','rad','tax','ptratio','black','lstat','medv']
url='https://archive.ics.uci.edu/ml/machine-learning-databases/housing/housing.data'
data = pd.read_csv(url, delim_whitespace=True, names=BHNames)
print(data.head(20))
... | PacktPublishing/Keras-2.x-Projects | Chapter02/cap2.boston.housing.py | cap2.boston.housing.py | py | 2,776 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "ma... |
43510845603 | from __future__ import print_function
import torch
from PIL import Image
import pickle
from torchvision import transforms
from torch.autograd import Variable
from models.combined_model import returnmodel
from models.extraction_model import get_pretrained_model
import numpy as np
import os
import string
# Get vocabl... | VibhuJawa/vqa-2018 | webdemo/test_new_forward_pass.py | test_new_forward_pass.py | py | 3,022 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "pickle.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "pickle.load",
"line_number"... |
28521027795 | """
A decorator to validate inputs.
If the input validation fails, this decorator will
return the errors back to the user. In this case, the request
will never reach the logic.
If the validation is successful, this decorator continues on to the
endpoint.
NOTE: this WILL REMOVE all keys that are not mentioned in the c... | harveyslash/backend-cleaned | beatest/Sugar/ReqValDecorator.py | ReqValDecorator.py | py | 1,792 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.request.json",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "flask.request.form",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "flask.r... |
72532696189 | """ Requests to catalog service API
"""
import asyncio
import logging
import urllib.parse
from collections.abc import Iterator
from contextlib import contextmanager
from typing import Any
from aiohttp import ClientSession, ClientTimeout, web
from aiohttp.client_exceptions import (
ClientConnectionError,
Clien... | ITISFoundation/osparc-simcore | services/web/server/src/simcore_service_webserver/catalog/client.py | client.py | py | 6,001 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "aiohttp.web.Application",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "aiohttp.web",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "aiohttp.Cl... |
37048758240 | # -*- coding: utf-8 -*-
# coding: utf8
import itertools
import os
import pickle
import sys
import warnings
from collections import OrderedDict
from contextlib import contextmanager
from io import BytesIO, StringIO
from string import Template
from pptree import print_tree
from sqlalchemy import exc as sa_exc
from .exc... | itsolutionsfactory/dbcut | dbcut/utils.py | utils.py | py | 7,076 | python | en | code | 20 | github-code | 6 | [
{
"api_name": "io.StringIO",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
"line_nu... |
13740895471 | import sqlite3
import click
from flask import current_app, g
from flask.cli import with_appcontext
#connect_db
def get_db():
#current_app.logger.info(' DB: Check for db connexion before connexion')
db = getattr(g, '_db', None)
if db is None:
# current_app.logger.info(' DB: No db connexion ... Con... | vkous/simple_dashboard | dashboard/model/db.py | db.py | py | 2,223 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.g",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "flask.g._db",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "sqlite3.connect",
"line_numbe... |
19329577559 | import pandas as pd
import numpy as np
import requests
import json
import joblib
import matplotlib.pyplot as plt
from datetime import datetime
from time import strftime, localtime, time
from sklearn.preprocessing import OrdinalEncoder
from sklearn.ensemble import RandomForestRegressor, ExtraTreesRegressor
from window_o... | ClarissaMc/MBTA-Travel-Predictor | trip-predictor2.py | trip-predictor2.py | py | 5,436 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.set_option",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
... |
75154507066 | from testtools import TestCase
import logging
import mock
from qg.core.app.application import QApplication
from qg.core.app.exts.log import QLogExtension
from qg.core import log
LOG = log.getLogger(__name__)
class TestApplication(QApplication):
name = 'test-application1'
version = '0'
def create(self)... | QunarOPS/qg.core | tests/unit/test_ext_log.py | test_ext_log.py | py | 1,093 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "qg.core.log.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "qg.core.log",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "qg.core.app.application.QApplication",
"line_number": 13,
"usage_type": "name"
},
{
"api_name":... |
37751695548 | # Import the appropriate libraries.
import numpy as np
import os
import argparse
import cv2 as cv
from imutils import paths
from tensorflow.keras.preprocessing.image import img_to_array
# Import MyModel class.
from model import MyModel
def data_extractor(path,height=32,width=32):
data=[]
labels = []
image... | tyeborg/ml-image-classification | model/build_model.py | build_model.py | py | 1,879 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "imutils.paths.list_images",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "imutils.paths",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "cv2.imread",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
... |
27328306011 | import random
import sys
import matplotlib.pyplot as plt
import time
def partition(low,high):
global pivotpoint,sum
pivotitem=S[low];j=low #取第一个数值，比较其他所有值，确定自己在第几个list的位子
for i in range(low+1,high+1):
if S[i]<pivotitem:
j+=1
k=S[i]
S[i]=S[j]
S[j]=k
sum+=1
pivotpoint=j
g=S[low]
... | sam880717/Quick-Sort-Map | Quick Sort.py | Quick Sort.py | py | 1,553 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.ion",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.clf",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplot... |
36136786258 | import os
import operator
from flask import Flask, render_template, redirect, request, url_for
from flask_pymongo import PyMongo
from bson.objectid import ObjectId
from os import path
if path.exists("env.py"):
import env
app = Flask(__name__)
app.config["MONGO_DBNAME"] = 'wt_database'
app.config["MONGO_URI"] = ... | trisdauvergne/milestone-project-03 | run_copy.py | run_copy.py | py | 6,314 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": ... |
11776493334 | from django.shortcuts import render, redirect
from django.http import HttpResponse, HttpResponseRedirect
import datetime
from django.utils import timezone
from .models import Meal, Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday
from django.urls import reverse
def home(request):
current_date ... | aleesha14/Narmeals | narmeal/views.py | views.py | py | 6,590 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.utils.timezone.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.utils.timezone",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "models.Monday.objects.get",
"line_number": 17,
"usage_type": "call"
},
{
"api_nam... |
9275600337 | from django.db import models
from django.utils import timezone
# Create your models here.
from django.utils.html import format_html
class Producto(models.Model):
nombre = models.CharField(max_length=30)
proveedor = models.CharField(max_length=30)
registro_invima = models.CharField(max_length=30)
prod... | Cridafloni/CentroSaludUQ | models/models.py | models.py | py | 8,114 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "... |
36737258933 | import boto3
from botocore.exceptions import ClientError
from decouple import config
class SESservice:
def __init__(self, recipient, status, time):
self.region = config("REGION")
self.recipient = recipient
self.status = status
self.time = time
self.ses = boto3.client('ses',... | LilkoPetkov/python-web-project | robomonitor/robomonitor/robo/SES.py | SES.py | py | 2,953 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "decouple.config",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "decouple.config",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_... |
21076310229 | import os
import re
import chardet
from tkinter import Tk
from tkinter.filedialog import askopenfilename
Tk().withdraw() #no full GUI
testfile = askopenfilename() #show an "Open" dialog box to choose txt file
#testfile = 'text.txt' #temporary filepath for testing purpose
f = open(testfile)
testpath = os.path.realpath(... | nikafiq/progkaihatu_textprocessor | main.py | main.py | py | 1,665 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.Tk",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.realpath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path"... |
31389541511 | bl_info = {
"name": "Blender VS Code Tools",
"author": "Ian Karanja",
"version": (0, 0, 1),
"blender": (2, 80, 0),
"location": "Text Editor > UI > Code Tools",
"description": "Collection of tools for external addon development with VS Code.",
"warning": "Early Development.",
"doc_url": "... | ranjian0/blender-vscode-dev | __init__.py | __init__.py | py | 2,210 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "bpy.types",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "bpy.props.StringProperty",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "bpy.props",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "bpy.props.Stri... |
12772901550 | import os
import json
import timeit
import pandas as pd
import numpy as np
import tensorflow as tf
from sqlalchemy import create_engine
from rna_learn.alphabet import ALPHABET_DNA
from rna_learn.load_sequences import (
load_growth_temperatures,
compute_inverse_effective_sample,
assign_weight_to_batch_val... | srom/rna_learn | rna_learn/debug_profiling.py | debug_profiling.py | py | 2,726 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number":... |
32115962671 | import jax
import jax.numpy as jnp
import chex
from synthax.modules.base import ControlRateModule
from synthax.parameter import ModuleParameterRange, from_0to1
from synthax.config import SynthConfig
from synthax.types import ParameterSpec, Signal
from typing import Optional
class LFO(ControlRateModule):
"""
L... | PapayaResearch/synthax | synthax/modules/lfos.py | lfos.py | py | 5,544 | python | en | code | 21 | github-code | 6 | [
{
"api_name": "synthax.modules.base.ControlRateModule",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "chex.Array",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "jax.numpy.exp",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "... |
5906770771 | # -*- coding: utf-8 -*-
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from spider.items import item_loader
from spider import items
from scrapy import Request
from selenium import webdriver
import json
import os
from spider.utils.common import md5
class LagouSpider(Crawl... | shadow-zl/spider | spider/spiders/lagou.py | lagou.py | py | 3,480 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scrapy.spiders.CrawlSpider",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 29,
"usage_type": "name"
},
{
"api_name"... |
7948585721 | from django.shortcuts import render
from .models import kontenModel
# Create your views here.
def blog(request):
posting2 = kontenModel.objects.all()
context={
'judul':'BLOG',
'pos':posting2,
}
return render (request,'blog.html',context) | ENONGLOSKER/BJ_DJANGO | MUROJAAH/MJ_CRUD1/relasi/views.py | views.py | py | 272 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "models.kontenModel.objects.all",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "models.kontenModel.objects",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "models.kontenModel",
"line_number": 6,
"usage_type": "name"
},
{
"ap... |
6800437188 | import datetime as dt
import json
import os
import random
import re
from datetime import datetime, timedelta
import django
from django.core.mail import send_mail
from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator
from django.shortcuts import get_object_or_404
from django.template.defaultfilters i... | jamesbeamie/bolt-J | authors/apps/articles/views.py | views.py | py | 11,537 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "rest_framework.generics.ListCreateAPIView",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "models.Article.objects.all",
"line_number": 38,
"usage_type": "cal... |
74494481788 | import networkx as nx
import math
from collections import OrderedDict
import heapq
def dijkstra(G: nx.Graph,s,dest):
'''
Find Dijkstra's shortest path algorithm
G = Graph
s = source node/vertex
dest = Path to destinationL; If dest == 'all' then it will return the destination for all other the ... | ashishsubedi/comp_314_mini | Algorithm.py | Algorithm.py | py | 3,267 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "networkx.Graph",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "networkx.is_connected",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.inf",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "collections.Or... |
225969587 | import requests
import app.api.table_handle as table_handle
from app.api.sisense_endpoints import get_endpoint
from app.setup_structlog import get_logger
_logger = get_logger(__name__)
def create_live_cube(parameter: dict):
_logger.info('Creating live cube on LocalHost', Live_cube=parameter['datamodel_name'])
... | janhaviramanand/live-model-automation | insights-live-datamodels/app/api/live_models.py | live_models.py | py | 3,462 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "app.setup_structlog.get_logger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "app.api.sisense_endpoints.get_endpoint",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 17,
"usage_type": "call"
},
{
... |
20835748912 | from typing import final
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
#for screenshotting
from PIL import Image
from time import sleep
import io
import os
os.environ["GOOGLE_APPLICATION_CREDENTIALS"]=r'sturdy-carver-284009-c1... | FredHalliwell/funCAPTCHA-solver | captcha_solver.py | captcha_solver.py | py | 3,579 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "time.sle... |
7797910637 | import base64
from operator import index
from types import NoneType
import requests
import pprint
import sec
clientId = sec.Id
clientSecret = sec.KEY
clientData = f"{clientId}:{clientSecret}"
encodedData = str(base64.b64encode(clientData.encode("utf-8")), "utf-8")
authorizationHeaderString = f"Basic {encodedData}"
... | Michalkassa/SkinportTradingBot | main.py | main.py | py | 2,410 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sec.Id",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sec.KEY",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "base64.b64encode",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pprint.PrettyPrinter",
"l... |
26867043685 | import requests
import json
import pandas as pd
data = requests.get(r'http://192.168.222.17:3000/api/laddermachine1/inputreadings').json()
convert_to_json = json.dumps(data)
parse_json = json.loads(convert_to_json)
data = pd.DataFrame(parse_json)
columns = list()
for i in range(1, 7):
column = f'Indgang 010{i}'
... | Danavell/Dolle | scripts/create_data.py | create_data.py | py | 658 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number":... |
30815447161 | import argparse
import json
import requests
import settings
def main():
parser = argparse.ArgumentParser(
description='Manage OX Cloud announcements.')
subparsers = parser.add_subparsers(title="subcommands",
description="valid subcommands",
... | wrosenauer/oxcloud-provisioning | announcements.py | announcements.py | py | 3,726 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "settings.getRestHost",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "settings.ge... |
21474742266 | #!/usr/bin/python3
import numpy as np
import serial
import time
import csv
import sys
import os
class ls336:
'''
Implements a lakeshore 336 box to interface with client scripts. Only contains locally relevant information; namely, port parameters. The state of the device is not stored locally to avoid the po... | zatkins2/testbed_optics | cold_load/modules/ls336.py | ls336.py | py | 8,130 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "serial.SEVENBITS",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "serial.PARITY_ODD",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "serial.STOPBITS_ONE",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": ... |
25666800651 | import os
import re
import sys
import logging as log
import argparse
import subprocess
import collections
import pyasn
import scapy.all as scapy
DIG_OUTPUT_MATCH = r"^;; Received \d+ bytes from ([^\(]+)\([^ ]*\) in \d+ ms$"
IPASN_URL = "https://github.com/hadiasghari/pyasn"
Host = collections.namedtuple("Host", "add... | NullHypothesis/ddptr | ddptr.py | ddptr.py | py | 10,179 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "collections.namedtuple",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "logging.critical",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "sys.e... |
71449748987 | #! encoding=utf-8
from flask import Flask
import time
print(__name__)
app = Flask(__name__)
@app.route('/dylan')
def index_dylan():
time.sleep(2)
test_dict = {1: 2, 3: 4}
return test_dict
@app.route('/bob')
def index_bob():
time.sleep(2)
return 'hello bob'
@app.route('/margan')
def index_mar... | haidongsong/spider_learn | zhang_xiaobo_spider_practice/myflask.py | myflask.py | py | 395 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 25,
... |
41095916993 | '''
This module allows to carry out navigation through any json file.
'''
import json
def read_json_file(path):
"""
Reads json file and returns it in dictionary format
"""
json_file = open(path,mode="r",encoding="UTF-8")
json_data = json_file.read()
obj = json.loads(json_data)
return obj
d... | LiliaMudryk/json_navigation | navigation.py | navigation.py | py | 2,018 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
}
] |
28340784279 | # -*- coding: utf-8 -*-
import scrapy
import re
class Data1Spider(scrapy.Spider):
name = 'data1'
allowed_domains = ['healthyceleb.com/']
start_urls = ['https://healthyceleb.com/category/statistics/sports-stars/female-sports-stars/']
count = 0
def parse(self, response):
links = response.xp... | t3chcrazy/Website-Scraper | mensdata/spiders/data1.py | data1.py | py | 2,304 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "scrapy.Spider",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scrapy.Request",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.search",
"line... |
26456668043 | from typing import Sequence
class PostgresOption(object):
"""Base class for Postgres command options."""
class FluentClauseContainer(object):
_current_clause = None
def __getattr__(self, attr):
if hasattr(type(self._current_clause), attr):
return getattr(self._current_clause, attr)
... | nathan-rice/pgalchemy | pgalchemy/types.py | types.py | py | 1,374 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Sequence",
"line_number": 49,
"usage_type": "argument"
}
] |
160438544 | # coding:utf-8
import numpy as np
import os
from matplotlib import pylab as plt
from PIL import Image
path = r"E:\python\PythonSpace\Data\cat_vs_dog\train"
files = os.listdir(path)
path = os.path.join(path, files[0])
cat = plt.imread(path)
img = Image.open(path)
img = img.resize((128, 128))
img = np.array(img)
print... | TaoEnd/TensorFlow | 猫狗识别/Test.py | Test.py | py | 822 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pylab.imread",
"l... |
38632882994 | from django.shortcuts import render
from django.http import HttpResponse
from rango.models import Category
from rango.models import Page
from rango.forms import CategoryForm
from rango.forms import PageForm
from rango.forms import UserForm, UserProfileForm
from django.contrib.auth import authenticate, login
from djang... | KirrageW/ITER | rango/views.py | views.py | py | 10,254 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rango.models.Category.objects.order_by",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "rango.models.Category.objects",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "rango.models.Category",
"line_number": 23,
"usage_type": "name"... |
19060429611 | import subprocess
from pathlib import Path
import terminal as T
class Selection:
def __init__(self, buffer: "Buffer") -> None:
self.buffer = buffer
self.x1 = 0
self.y1 = 0
self.x2 = 0
self.y2 = 0
class Cursor:
def __init__(self, buffer: "Buffer") -> None:
sel... | aspizu/trax | trax/buffer.py | buffer.py | py | 4,491 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 71,
"usage_type": "name"
},
{
"api_name": "terminal.height",
"line_number": 72,
"usage_type": "attribute"
},
{
"api_name": "terminal.init",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "terminal.read",
"... |
72532084029 | from typing import Annotated
from fastapi import Depends, HTTPException, Security, status
from fastapi.security import HTTPBasic, HTTPBasicCredentials
from pydantic.types import PositiveInt
from ...db.repositories.api_keys import ApiKeysRepository
from ...db.repositories.users import UsersRepository
from .database im... | ITISFoundation/osparc-simcore | services/api-server/src/simcore_service_api_server/api/dependencies/authentication.py | authentication.py | py | 1,589 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "fastapi.security.HTTPBasic",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "fastapi.HTTPException",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "fastapi.status.HTTP_401_UNAUTHORIZED",
"line_number": 22,
"usage_type": "attribute"
},... |
13464056697 | #!/usr/bin/env python3
"""usage: {} count_intron_exon.py -l <lasso> -b <bam> -o <outdir> -x <offsetx> -y <offsety>
"""
import os
import sys
import getopt
import pysam
import numpy as np
import pandas as pd
import time
import subprocess
class Options:
sargs = 'hl:b:o:x:y:'
largs = ['help','bam=', 'outdir=', 'o... | bgi-drosophila/easyBam | count_intron_exon.py | count_intron_exon.py | py | 4,870 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdout",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "getopt.gnu_getopt",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "getopt.GetoptError",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr.... |
1308783355 | import os
from typing import Callable
from ignite.engine import Engine, Events
from torch import nn
from pixel2vec.utils import store_weights
class PeriodicalH5NetSaver:
"""This saver saves the model on every n-th epoch"""
def __init__(self, save_period: int, out__dir: str, model_variable_name: str = 'model... | Bartolo1024/Pixel2Vec | pixel2vec/utils/saver.py | saver.py | py | 3,038 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.makedirs",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "ignite.engine.Engine",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "ignite.engine.Events.EPOCH_COMPLETED",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_na... |
3626522375 | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm
#Investigate by modelling the differences when a (linear) is a constant and when a is u (non-linear) for a cyclic condition.
#set u to a small value like 2
#Decide on your own initial conditions and valu... | teeyingyap/partial-differential-eq | problem2/burgers1.py | burgers1.py | py | 1,899 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.roll",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_numb... |
7543587397 | import os
import pytest
from app import app
from flask import url_for
@pytest.fixture
def client():
app.config['TESTING'] = True
app.config['SERVER_NAME'] = 'TEST.test'
client = app.test_client()
with app.app_context():
pass
app.app_context().push()
yield client
def test_index_page(c... | NicolasLgr/Flux-RSS_LEGER_FAVART | tests/test_integrations.py | test_integrations.py | py | 784 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "app.app.config",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "app.app",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "app.app.config",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "app.app",
"line_num... |
20428593197 | import numpy as np
from PIL import Image
import sys
import glob, os
import copy
import math
np.set_printoptions(threshold=sys.maxsize)
# map_path = "m2.png"
map_path = "ex1.png"
draw_path = "28.png"
img_m = Image.open(map_path)
imgm_arr = np.array(img_m)
img_d = Image.open(draw_path).resize(img_m.size)
imgd_arr = np.... | tsaoni/route-planning | backup/path2.py | path2.py | py | 16,877 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.maxsize",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
... |
29457443699 | import copy
import pytest
from utils import *
def test_get_status_success(shared_zone_test_context):
"""
Tests that the status endpoint returns the current processing status, color, key name and version
"""
client = shared_zone_test_context.ok_vinyldns_client
result = client.get_status()
as... | vinyldns/vinyldns | modules/api/src/test/functional/tests/internal/status_test.py | status_test.py | py | 3,656 | python | en | code | 334 | github-code | 6 | [
{
"api_name": "copy.deepcopy",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 58,
"usage_type": "attribute"
},
{
"api_name": "pytest.mark",
"line_number": 59,
"usage_type": "attribute"
}
] |
12109857010 | import os
import warnings
import pandas as pd
import numpy as np
import re
import joblib
import json
import matplotlib.pyplot as plt
import seaborn as sns
from typing import Optional, Union, List, Literal
from supervised import AutoML
from sklearn.preprocessing import normalize
from sklearn.preprocessing import Standar... | Eugene-Ovcharenko/CABG_register_analysis | analysis_automl.py | analysis_automl.py | py | 17,962 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.se... |
29577100210 | # -*- coding: utf-8 -*-
"""
Created on Fri Jul 20 15:34:01 2018
@author: Akitaka
"""
# -*- coding: utf-8 -*-
"""
ML of Tc by SVM (0426)
Created on Thu Jul 19 12:54:41 2018
@author: Akitaka
"""
import pandas as pd
import numpy as np
from time import time
from matplotlib import pyplot as plt
from p... | nakanishi-akitaka/python2018_backup | 0719/test2_Tc_SVM.py | test2_Tc_SVM.py | py | 5,839 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "numpy.sqrt",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.mean_squared_error",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.mean_absolute_error",
"line_number": 37,
"usage_type": "call"
},
{
... |
36189585575 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri May 8 18:46:45 2020
@author: lahmwang
"""
import pygame
import math
import os
width = 600
height = 600
num_cells = 40
# size of gap in between cells
gap_size = width // 600
# size of each square cell
cell_size = (width // num_cells) - gap_size
# c... | RickyWang1020/A_Star_Visualization | a_star_visualization.py | a_star_visualization.py | py | 10,845 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.display.set_mode",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_caption",
"line_number": 36,
"usage_type": "call"
},
{
"api_name":... |
29476924724 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import math
from utils.progressbar import wrap_iterator
def stack_frame(input_list, num_stack, num_skip, progressbar=False):
"""Stack & ... | hirofumi0810/tensorflow_end2end_speech_recognition | utils/io/inputs/frame_stacking.py | frame_stacking.py | py | 3,085 | python | en | code | 312 | github-code | 6 | [
{
"api_name": "utils.progressbar.wrap_iterator",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
44349797487 | import pandas as pd
import numpy as np
import re
import sklearn
import seaborn as sns
import matplotlib.pyplot as plt
import warnings
warnings.filterwarnings('ignore')
# Going to use these 5 base models for the stacking
from sklearn.ensemble import (RandomForestClassifier, AdaBoostClassifier,
... | Cracroule/deeplearning_work | titanic_survivors/classifier_stacking.py | classifier_stacking.py | py | 15,447 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.random.s... |
40646385645 | import sys
from Bio import Seq,SeqIO
from Bio.Alphabet import IUPAC
handle=open(sys.argv[1],'r')
output=open(sys.argv[2],'w')
for record in SeqIO.parse(handle,'fasta'):
seq=record.seq
ORF1=seq.translate()
ORF2=seq[1::].translate()
ORF3=seq[2::].translate()
if record.id=="":
print(reco... | yafeng/proteogenomics_python | 3frame_translation.py | 3frame_translation.py | py | 589 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "Bio.SeqIO.parse",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "Bio.SeqIO",
"line_number... |
31068425521 | from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
import uuid
import time
import os
import traceback, sys
import wallet_api
import mixin_asset_id_collection
import sqlalchemy
import mixin_sqlalchemy_type
import exincore_api
import oceanone_api
import base64
import datetime
class Worke... | myrual/pixinwallet | pixinwallet.py | pixinwallet.py | py | 139,522 | python | en | code | 8 | github-code | 6 | [
{
"api_name": "traceback.print_exc",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "sys.exc_info",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "traceback.format_exc",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
28512099684 | from wsgiref import simple_server
from flask import Flask, request, render_template
from flask import Response
from flask_cors import CORS, cross_origin
from apps.training.train_model import TrainModel
from apps.core.config import Config
app = Flask(__name__)
CORS(app)
@app.route('/training', methods=['POST'])
@cro... | hanuel-89/employee_churn | main.py | main.py | py | 1,274 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask_cors.CORS",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "apps.core.config.Config",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "apps.training.trai... |
70555488509 | import datetime
from datetime import date
import urllib3
from boto3 import client
from get_raw_data_from_endpoints import call_records
import pandas as pd
S3_BUCKET = 'telecard-data' # Will be changed once separate bucket is made
KEY = 'telecard_data_all_calls'
df=pd.DataFrame(columns=['recordingfile','accountcode','... | zhnemati/data-projects | data-pipelines/telecard-redshift-pipeline/get-data-and-dump-to-s3/format_and_upload_calls_data_dump.py | format_and_upload_calls_data_dump.py | py | 1,624 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "urllib3.disable_warnings",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib3.exceptions",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "bot... |
8019249336 | import argparse
import builtins
import math
import os
import random
import shutil
import time
import warnings
import sys
from datetime import date
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.distributed as dist
import torch.optim
import torch.multiproce... | Viraj-Joshi/Dynamic-Barrier-Gradient-Descent | lexicographic_regularization.py | lexicographic_regularization.py | py | 8,815 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "utils.logging.get_logger",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "utils.logging",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "torch.... |
16204792792 | import pytest
from xdsl.dialects.affine import For, Yield
from xdsl.dialects.builtin import AffineMapAttr, IndexType, IntegerAttr, IntegerType
from xdsl.ir import Attribute, Block, Region
from xdsl.ir.affine import AffineExpr
from xdsl.utils.exceptions import VerifyException
def test_simple_for():
f = For.from_r... | xdslproject/xdsl | tests/dialects/test_affine.py | test_affine.py | py | 2,379 | python | en | code | 133 | github-code | 6 | [
{
"api_name": "xdsl.dialects.affine.For.from_region",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "xdsl.dialects.affine.For",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "xdsl.ir.Region",
"line_number": 11,
"usage_type": "call"
},
{
"api_... |
71145072509 | from flask import Flask, render_template, request
import jsonify
import requests
import pickle
import numpy as np
import sklearn
from sklearn.preprocessing import StandardScaler
app = Flask(__name__, template_folder='templates')
model = pickle.load(open('DecisionTreeClassifier.pkl', 'rb'))
@app.route('/',metho... | dsatyam09/06_Aspire-Intelligence-1- | app.py | app.py | py | 5,285 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.Sta... |
7430214538 | import pygame
import sys
# 初始化Pygame
pygame.init()
# 设置窗口大小和标题
window_width = 800
window_height = 600
window_title = "连发子弹示例"
# 创建游戏窗口
screen = pygame.display.set_mode((window_width, window_height))
pygame.display.set_caption(window_title)
# 子弹列表
bullets = []
# 设置子弹的尺寸和移动速度
bullet_width = 10
bullet_height = 5
bull... | SkingDuffy/PygameTest | tank_fire_blaze.py | tank_fire_blaze.py | py | 1,921 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
16669934144 | from django.contrib.auth import get_user_model
from django.contrib.auth.decorators import login_required
from django.shortcuts import get_object_or_404, redirect, render
from django.views.decorators.cache import cache_page
from .forms import CommentForm, PostForm
from .models import Comment, Follow, Group, Post
from .... | Vilenor/hw05_final | yatube/posts/views.py | views.py | py | 4,147 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Post.objects.all",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Post.objects",
"line_number": 17,
"usage_type": "attribute"
},
{
... |
2279833050 | from twisted.web import resource
from httplib import BAD_REQUEST
class StorageResource(resource.Resource):
"""Common parent for all resources representing storage objects"""
def __init__(self, avatar='Anonymous', delegated_user=None):
resource.Resource.__init__(self)
self.avatar = avatar
... | livenson/vcdm | src/vcdm/server/cdmi/cdmiresource.py | cdmiresource.py | py | 820 | python | en | code | 14 | github-code | 6 | [
{
"api_name": "twisted.web.resource.Resource",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "twisted.web.resource",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "twisted.web.resource.Resource.__init__",
"line_number": 9,
"usage_type": "call"
}... |
37431364971 | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 30 11:12:05 2020
@author: zjermain15
"""
import numpy as np
import matplotlib.pyplot as plt
size = [10,100,1000,10000,100000,1000000]
error = []
for N in size:
rv = np.random.randn(N)
values = []
for j in range(N):
values.... | zjermain/Math-7390-Machine-Learning-Jermain | Homework 1.py | Homework 1.py | py | 553 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.randn",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.exp",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line... |
74190875388 | import MySQLdb
db = MySQLdb.connect(host = "localhost", user = "root", passwd = "wmmkscsie", db = "recommender_system", charset = "utf8")
cursor = db.cursor()
while(True):
id = input("enter the id:\n")
print(id)
cursor.execute("SELECT a.storyline, a.relationship_type, a.scenario_type, b.emotion, b.event FROM movie... | Alex-CHUN-YU/Recommender-System | test/observation.py | observation.py | py | 728 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "MySQLdb.connect",
"line_number": 3,
"usage_type": "call"
}
] |
31036600057 | from django.urls import path
from . import views
app_name = "profiles"
urlpatterns = [
path("edit/profile/", views.EditProfile.as_view(), name= "edit"),
path("delete/profile/", views.DeleteProfile.as_view(), name= "delete"),
path("edit/picture/", views.EditPicture.as_view(), name= "picture"),
path("delete/picture... | notkingsley/twitterx | profiles/urls.py | urls.py | py | 705 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
420319442 | import argparse
from xfile.base import File, Engine
def main():
parser = argparse.ArgumentParser()
parser.add_argument('file')
args = parser.parse_args()
e = Engine()
for results in e.run(File(args.file)):
results.show()
if __name__ == '__main__':
main()
| juanmera/xfile | xfile/main.py | main.py | py | 292 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "xfile.base.Engine",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "xfile.base.File",
"line_number": 11,
"usage_type": "call"
}
] |
10444612469 | from shapely.geometry import Polygon
from shapely import normalize
from rasterio.warp import transform_geom
from rasterio.crs import CRS
from shapely.geometry import shape
def pol_from_points(t):
x1, y1, x2, y2 = t
return normalize(Polygon(((x1,y1),(x1,y2),(x2,y2),(x2, y1), (x1, y1))))
def wrap_pol(pol, epsg1... | ArthurCalvi/Disturbance-Attribution-Dataset-Joining | visualisation/utils.py | utils.py | py | 888 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "shapely.normalize",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "shapely.geometry.Polygon",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "shapely.geometry.shape",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "raste... |
31484799903 | import numpy as np
import matplotlib as plt
nums = [0.5,0.7,1,1.2,1.3,2.1]
bins = [0,1,2,3]
x_pos = [i for i, _ in enumerate(nums)]
plt.bar(x_pos, nums, color='yellow')
plt.xlabel("Nums")
plt.ylabel("Bins")
plt.title("Numpy Task 2")
plt.xticks(x_pos, nums)
plt.show() | m-kona/numpy_task | task_two.py | task_two.py | py | 268 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.bar",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.xlabel",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.ylabel",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.title",
... |
19239091382 | # dfs !!! 물통
# bfs 사용해서 해결했다.
# visited는 a, b, c 모두에 대해서 만들 필요 없이, a, b가 결정되면 c도 결정되니 2차원으로 만들어도 충분하다
# a b c 각각에서 나머지 둘로 옮겨주는 경우를 하드 코딩했고, 물이 넘치거나 부족한 경우 등을 to에서 처리해줬다
from collections import deque
def bfs():
q = deque()
visited[0][0] = 1 # a, b에 물이 없을 때
q.append((0, 0))
ans = [C] # C에 가능한 물의 양
wh... | sdh98429/dj2_alg_study | BAEKJOON/dfs/b2251.py | b2251.py | py | 3,284 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "call"
}
] |
30165599645 | import plotly.graph_objects as go
import dash
import plotly.express as px
import pandas as pd
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, State
# dash bootstrap 1.0 or higher
dfc = pd.read_csv(
... | pierreolivierbonin/Plotly-Dash-WebApps | Sunny Street Viz for Social Good app.py | Sunny Street Viz for Social Good app.py | py | 15,115 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime... |
74348631227 | # -*- coding: utf-8 -*-
import torch
import numpy as np
import pickle
import time
from utils.get_detected_info import get_anchor_nums, get_anchor_box_size
prior_info = 0
min_area = None
saved_matching = {}
saved_conf_loc = {}
prior_to_ratio = None
matching_timer = 0.
def point_form(boxes):
""" Convert prior_boxes... | ksh108405/aligned-matching | layers/box_utils.py | box_utils.py | py | 26,387 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "torch.cat",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.min",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "torch.max",
"line_number": 54,
... |
35446532256 | import os
import requests
from aws_lambda_client.aws_auth import AWSRequestsAuth
class AWSLambdaRequester:
"""Creates a lambda http requester.
Can take credentials for custom access.
Args:
secret (str)
access_key (str)
session_token (str)
region (st... | AnupamJuniwal/aws-lambda-client | aws_lambda_client/requester.py | requester.py | py | 1,862 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.getenv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 24,
... |
29125172208 | from django.conf import settings
from django.forms.models import inlineformset_factory
from django.shortcuts import render, redirect
from django.views.generic import UpdateView
from annoying.functions import get_object_or_None
from annoying.views import MultipleModelFormsView
from customProfile.views import ArtistProf... | TimBest/ComposersCouch | artist/views/music.py | music.py | py | 4,194 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "customProfile.views.ArtistProfileView",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "customProfile.views.ArtistProfileFormMixin",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "photos.views.ImageFormMixin",
"line_number": 21,
"usage_... |
8309293088 | from datetime import datetime
from io import StringIO
from xml.etree.ElementTree import ElementTree, Element, SubElement
from django.urls import reverse
from share.models import Contributor
from share.oaipmh.util import format_datetime
# For convenience
def SubEl(parent, tag, text=None, attrib={}):
element = Su... | dwtcourses/SHARE | share/oaipmh/renderers.py | renderers.py | py | 8,318 | python | en | code | null | github-code | 6 | [
{
"api_name": "xml.etree.ElementTree.SubElement",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.Element",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "django.urls.reverse",
"line_number": 28,
"usage_type": "call"
},
{
... |
73732953787 | #!/usr/bin/env python
#-*- encoding:utf-8 -*-
import json
import execjs
import urllib
import requests
lang_dict = {
"source_code_name":{
"auto":"检测语言",
"sq":"阿尔巴尼亚语",
"ar":"阿拉伯语",
"am":"阿姆哈拉语",
"az":"阿塞拜疆语",
"ga":"爱尔兰语",
"et":"爱沙尼亚语",
"eu":"巴斯克语",
"be":"白俄罗斯语",
"bg":"保加利亚语",
... | fkxxyz/fkxxyz-wechatRequestHandler | googleTranslate.py | googleTranslate.py | py | 8,605 | python | ko | code | 0 | github-code | 6 | [
{
"api_name": "execjs.compile",
"line_number": 227,
"usage_type": "call"
},
{
"api_name": "urllib.parse.urlencode",
"line_number": 279,
"usage_type": "call"
},
{
"api_name": "urllib.parse",
"line_number": 279,
"usage_type": "attribute"
},
{
"api_name": "requests.g... |
28832594290 | # importings
from keras.models import Sequential
from keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D
from keras.preprocessing.image import ImageDataGenerator
import keras
from keras import backend as K
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
# The 1./255 is to conve... | DenooVa/Simple_Shapes_recognition | Shapes_recognition.py | Shapes_recognition.py | py | 1,913 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "keras.preprocessing.image.ImageDataGenerator",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "keras.Sequential",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "keras.layers.Conv2D",
"line_number": 25,
"usage_type": "call"
},
{
... |
3607875177 | # -*- coding: utf-8 -*-
from shutil import which
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from selenium import webdriver
from selenium.webdriver.firefox.options import Options as FirefoxOptions
from selenium.webdriver.support.ui import WebDriverWait
from bs4 import Be... | paudan/wsj-scraper | wsj/spiders/company_list.py | company_list.py | py | 2,949 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.firefox.options.Options",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 17,
"usage_type": "name"
},
... |
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