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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3020745085 | import os
import pandas as pd
from injector import inject
import estimize.config as cfg
from estimize.pandas import dfutils
from estimize.services import ReleasesService, CacheService, AssetInfoService
class ReleasesServiceDefaultImpl(ReleasesService):
@inject
def __init__(self, cache_service: CacheService,... | Estimize/estimize-research-py | estimize/services/impl/releases_service_default_impl.py | releases_service_default_impl.py | py | 1,453 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "estimize.services.ReleasesService",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "estimize.services.CacheService",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "estimize.services.AssetInfoService",
"line_number": 13,
"usage_type": "n... |
10395877739 |
import math
import torch
from .make_dataloader import Make_DataLoader
class Predict(object):
def __init__(self):
self.np_score = 0
def soft_max(self, n, p):
sum_exp_np = math.exp(n)+math.exp(p)
changed_n = math.exp(n)/sum_exp_np
changed_p = math.exp(p)/sum_exp_np
ret... | karakuri-ai/hottopi-san | sentiment_analytics/negapoji_analytics/src/modules/predict.py | predict.py | py | 2,578 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.exp",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.exp",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 25,
"usa... |
26112918325 | __authors__ = ["V.A. Sole", "T. Rueter", "T. Vincent"]
__license__ = "MIT"
__data__ = "16/10/2017"
import logging
import weakref
import numpy
from .. import qt, colors
from ..widgets.LegendIconWidget import LegendIconWidget
from . import items
_logger = logging.getLogger(__name__)
class LegendIcon(LegendIconWid... | silx-kit/silx | src/silx/gui/plot/LegendSelector.py | LegendSelector.py | py | 37,722 | python | en | code | 106 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "widgets.LegendIconWidget.LegendIconWidget",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "weakref.ref",
"line_number": 53,
"usage_type": "call"
},
{
"api_name"... |
15748348327 | #!/usr/bin/env python
import argparse
parser = argparse.ArgumentParser(description="Attach a disk image to a .bin firmware.", formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('-f', dest='firmware_file', nargs='?', default='enstix.bin', help='Path to firmware file.')
parser.add_argument('-i'... | flabbergast/enstix | sources/scripts/attach-img-to-bin.py | attach-img-to-bin.py | py | 1,056 | python | en | code | 38 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 5,
"usage_type": "attribute"
}
] |
72739050428 | import datetime
from rest_framework.response import Response
from rest_framework import status
from rest_framework.views import APIView
from rest_framework.authtoken.models import Token
import random
from django.contrib.auth.models import User
from django.contrib.auth import authenticate
from rest_framework.authent... | kothawleprem/MedConnect | core/patients/views.py | views.py | py | 11,056 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects.filter",
"line_number": 30,
"usage_type": "call"
},... |
34254523388 | import cv2
captura = cv2.VideoCapture(0)
ancho = int(captura.get(cv2.CAP_PROP_FRAME_WIDTH))
alto = int(captura.get(cv2.CAP_PROP_FRAME_HEIGHT))
# MAC
#codigo = cv2.VideoWriter_fourcc(*'MJPG')
#grabador = cv2.VideoWriter('video.avi',codigo,20,(ancho,alto))
# WINDOWS
codigo = cv2.VideoWriter_fourcc(*'DIVX')
grabador =... | AlexPoma/OpenCV-Tutorial-and-EZ-FaceRecognition | video.py | video.py | py | 593 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_FRAME_WIDTH",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cv2.CAP_PROP_FRAME_HEIGHT",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_na... |
440706906 | import pandas as pd
import numpy as np
from multiprocessing import Pool, cpu_count
FLOAT_TYPE = np.float32
def get_freq(x):
if len(x) == 0:
return np.NaN
return pd.Series(x).value_counts().idxmax()
def map_arr(x, value_map):
return pd.Series(x).map(value_map).values
def value_counts(x):
r... | kqdmqx/kaggle-Elo-Merchant-Category-Recommendation | my_preprocessing.py | my_preprocessing.py | py | 4,562 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.float32",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.NaN",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pandas.Series",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"l... |
37639143186 | import pytest
from db.dbi.db_interface import DBInterface
from db.body_styles import body_styles
from config import DevConfig
import string
import random
from random import choice
DB_URI = DevConfig.POSTGRES_DATABASE_URI
WEBSITE_NAMES = ["autotrader", "cargurus", "usnews", "driveway", "capitolone"]
LISTING_CHANGES = [... | HenrySpeaker/Car-Listing-Tracker | tests/utils/db_utils.py | db_utils.py | py | 10,247 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "config.DevConfig.POSTGRES_DATABASE_URI",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "config.DevConfig",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "random.choices",
"line_number": 17,
"usage_type": "call"
},
{
"api_nam... |
26185572484 | """Group Anagrams
Given an array of strings strs, group the anagrams together. You can return the answer in any order.
An Anagram is a word or phrase formed by rearranging the letters of a different word or phrase, typically using all the original letters exactly once.
Example 1:
Input: strs = ["eat","tea","tan","a... | 01o91939/leetcode | groupAnagrams.py | groupAnagrams.py | py | 2,976 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "collections.defaultdi... |
16948669318 | from selenium import webdriver
from config.VarConfig import chromeDriverPath
from config.VarConfig import firefoxDriverPath
from util.ObjectMap import getElement
from util.ClipboardUtil import Clipboard
from util.KeyBoardUtil import KeyboardKeys
from util.DirAndTime import *
from util.WaitUtil import WaitUtil
from sele... | liumengren/KeyWordsFrameWork | action/PageAction.py | PageAction.py | py | 4,457 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "config.VarConfig.chromeDriverPath",
"line_number": 21,
"usage_type": "name"
},
{
"ap... |
16813034187 | from django.urls import path
from .controller.articles.articles_controller import ArticleController, ArticleDetailView, ArticlePreview
from .controller.authors.authors_controller import AuthorController
from .controller.categories.categories_controller import CategoryController
from .controller.search.search_controlle... | zzolfaghari/tech-news | tech_news/base/urls.py | urls.py | py | 1,144 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "django.urls.path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "controller.articles.articles_controller.ArticleController.as_view",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "controller.articles.articles_controller.ArticleController",
... |
41241975860 | from PIL import Image
images = [Image.open(x) for x in ['Temp/Combined_PC.png', 'Temp/Combined_SP.png']]
New_Image_X = images[0].size[0]
New_Image_Y = images[0].size[1]
layer1 = Image.new('RGBA', (New_Image_X, New_Image_Y))
layer2 = Image.new('RGBA', (New_Image_X, New_Image_Y))
width_SP, height_SP = images[1].size
... | MatheusRuggeri/Repository-Cover-Image-Creator | Img Combine.py | Img Combine.py | py | 557 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "PIL.Image.open",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "PIL.Image.new",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 8,... |
42303791603 | import numpy as np
import matplotlib.pyplot as plt
import sys
"""
Kjøres i terminal. x mu(valgfri)
Uten friksjon: > python oppgave_f.py 0.6
Med friksjon: > python oppgave_f.py 0.75 0.05
"""
m = 5 # kg
k = 500 # N/m
l0 = 0.5 # m
h = 0.3 # m
g = 9.81 # m/s^2
dt = 0.01
N = int(n... | willidu/FYS-MEK1110 | Oblig 3/oppgave_f.py | oppgave_f.py | py | 1,170 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.ceil",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"li... |
10249353369 | from molecule import Molecule
import genmethods, sys, os
from config import ROOT_DIRECTORY
import copy
def shiftIndicesNotAtm(molecule, changeMatrix):
# shift the atom indexes referenced in bonds
for a in molecule.getBonds():
a.setAtmAPos(changeMatrix[a.getAtmAPos()])
a.setAtmBPos(changeMatrix... | iwelsh47/MAGIC | reordering.py | reordering.py | py | 4,048 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "molecule.getBonds",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "molecule.getAngles",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "molecule.getImpropers",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "molecule.ge... |
26906920193 | from django.conf import settings
from rest_framework.response import Response
from rest_framework.decorators import api_view, permission_classes
from rest_framework.permissions import IsAuthenticated
from rest_framework.pagination import PageNumberPagination
from django.shortcuts import render, redirect
from django.ut... | mshenoy87/HonestHive | Waggles/api/views.py | views.py | py | 4,005 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.settings.ALLOWED_HOSTS",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "serializers.WaggleCreateSerializer",
"line_number": 19,
"usage_type": "call"... |
37186951571 | from flask import render_template, session, redirect, url_for, current_app, request, flash
from . import admin
from .forms import LoginForm, RegistrationForm, ProductForm, ProductEditForm
from ..models import Admin, Product
from flask_login import login_user, logout_user, login_required, \
current_user
from flask_l... | omamazainab/resturant-management-system-flask | app/admin/views.py | views.py | py | 4,738 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "forms.LoginForm",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "models.Admin.query.filter_by",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "models.Admin.query",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "... |
7397937227 | from task.models import teacher,schedule
import time
import requests
import json
from time import strftime
from apscheduler.schedulers.background import BackgroundScheduler
from django.core.mail import send_mail
from django_apscheduler.jobstores import DjangoJobStore, register_events, register_job
scheduler = Backgrou... | punitpandey/djangotask | task/jobs.py | jobs.py | py | 4,221 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "apscheduler.schedulers.background.BackgroundScheduler",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django_apscheduler.jobstores.DjangoJobStore",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 24,
"usa... |
34681657731 | from typing import Union, Optional, Any, cast
import json
import os
import PySide2.QtCore as QtCore
import PySide2.QtWidgets as QtWidgets
import PySide2.QtGui as QtGui
from undo_commands import (
AddNodeCommand, RemoveNodeFromFrameCommand, AddGrpNodeCommand, ResolveGrpNodeCommand, MoveNodesCommand,
RemoveNode... | j8sr0230/codelink | src/codelink/editor_widget.py | editor_widget.py | py | 42,845 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "PySide2.QtWidgets.QGraphicsView",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "PySide2.QtWidgets",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "PySide2.QtCore.Signal",
"line_number": 28,
"usage_type": "attribute"
},
{
... |
41758030952 | from __future__ import print_function
import sys
import ply.yacc as yacc
import ply.lex as lex
import io
tokens = (
"INC",
"DEC",
"SHL",
"SHR",
"OUT",
"IN",
"OPEN_LOOP",
"CLOSE_LOOP",
)
t_INC = r'5'
t_DEC = r'6'
t_SHL = r'10'
t_SHR = r'9'
t_OUT = r'12'
t_IN = r'11'
t_OPEN_LOOP = r'7'
t... | Saket-Upadhyay/wisdom | writerscript/interpreter.py | interpreter.py | py | 3,801 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "ply.lex.lex",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "ply.lex",
"line_number": 95,
"usage_type": "name"
},
{
"api_name": "ply.yacc.yacc",
"line_number": 96,
"usage_type": "call"
},
{
"api_name": "ply.yacc",
"line_number": 96,
... |
15640116130 | import requests
import os
import re
from bs4 import BeautifulSoup
import sys
sys.path.append('../common')
from cleanup import cleanup
imgur_regex = r'http[s]?://(?:.*\.)?imgur\.com/[^\s]+'
# Print GitHub link so people can report issues or visit the repo.
print('https://github.com/DexrnZacAttack/ImgurScraper' )
# Se... | DexrnZacAttack/ImgurScraper | MFFScraper/main.py | main.py | py | 1,782 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"lin... |
32205580024 | from kafka import KafkaConsumer
from json import loads
from flask import Flask, escape, request
app = Flask(__name__)
consumer = KafkaConsumer(
'page_views-page_views-changelog',
bootstrap_servers=['kafka:9092'],
auto_offset_reset='earliest',
enable_auto_commit=True,
group_id='my-group')
@ap... | celsocrivelaro/arquitetura-bigdata | aula07/consumer.py | consumer.py | py | 603 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "kafka.KafkaConsumer",
"line_number": 8,
"usage_type": "call"
}
] |
29422387546 | import os
import json
config_file = 'config.json'
class Config:
def __init__(self):
self.values = {
'image_path': '',
'video_path': '',
'ffmpeg_path': '',
'image_resx': 1920,
'image_resy': 1080,
'video_codec': 'prores',
'... | emartirequena/rationalmodel | src/rationalmodel/viewRationals/config.py | config.py | py | 1,523 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.exists",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 39,
"usage_type": "call"
}
] |
21230786214 | """GraphQL demo app."""
from flask import Flask
from flask_graphql import GraphQLView
import graphene as g
################################################
app = Flask(__name__)
with app.app_context():
app.config.from_object('config.main-config.DevConfig')
from gqlmodels import Query
import dbmodels as mdb... | maddevsio/graphql-demo | demoapp.py | demoapp.py | py | 1,579 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "dbmodels.db.init_app",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "dbmodels.db",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask_graphql.GraphQ... |
30938920891 |
import matplotlib.pyplot as plt
import pandas as pd
import numpy
import requests
#import cv2
from PIL import Image, ImageOps, ImageChops
from io import BytesIO
import os
apikey = "AIzaSyA2BEmbwVbpINCm_w6PSCnysZnlJDAr7oM"
# These functions are taken from streetview.py:
def sendRequest(url, to=15):
r = False
... | klekkala/usc_navigate | mapmaker.py | mapmaker.py | py | 9,803 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "requests.exceptions",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "reques... |
24038406352 | import json
from django.views.generic import ListView, DetailView, TemplateView, View, CreateView # noqa
from django.views.generic.edit import FormMixin
from django.http import HttpResponse, HttpResponseRedirect, HttpResponseForbidden, JsonResponse # noqa
from .models import Post
from django.db.models import Q
from dja... | philabug/gamersijuan | blog/views.py | views.py | py | 7,356 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.Post.objects.filter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.Post.objects",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "json.... |
15846721582 | import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.tree import export_graphviz
from subprocess import call
from IPython.display import Image
import numpy as np
from sklearn.metrics import confu... | XinShuaiTeng/RandomForest | RandomForest.py | RandomForest.py | py | 3,426 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.RandomForestClassifier",
"line_number": 24,
"usage_type": "call... |
70968291707 | import numpy as np
import cv2
import pandas as pd
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml')
# to save the face pic to path
path = "dataset"
face_id = input("\n Type the face ID number: ")
count = 0
# READ VIDEO
capture = cv2.VideoCapture(0)
# READ CAPTURE FROM VIDEO
while True:
re... | awesomegusS/cv | detector.py | detector.py | py | 1,047 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY... |
13317626553 | import csv
import re
import didYouMean
import autoComplete
from sys import exit
import os
from nltk.stem.wordnet import WordNetLemmatizer
class Retrival:
def __init__(self):
self.searchList = []
self.originalQuery = ''
self.stopWords = []
self.links = {}
# variables exist for historical purpose
# This is ... | pncnmnp/search-engine | retrival.py | retrival.py | py | 3,126 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.chdir",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "nltk.stem.wordnet.WordNetLemmatizer",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.chdir",
... |
35574455275 | from collections import defaultdict
def createGraph(tickets):
g=defaultdict(list)
for src,des in tickets:
if src in g:
g[src].append(des)
else:
g[src]=[des]
print(g)
for i in g.keys():
g[i].sort(reverse=True)
return g
def reconstructRoute... | goyalgaurav64/Graph | reconstruct-itinerary.py | reconstruct-itinerary.py | py | 745 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "collections.defaultdict",
"line_number": 3,
"usage_type": "call"
}
] |
39476649905 | import json
from py2neo import Graph,Node
graph = Graph(
host="127.0.0.1", # neo4j 搭载服务器的ip地址，ifconfig可获取到
http_port=7474, # neo4j 服务器监听的端口号
user="neo4j", # 数据库user name，如果没有更改过，应该是neo4j
password="123")
# graph = Graph(
# host="154.8.214.203", # ... | zhang8929/zhangyuguang | zhangyuan/db/import_data/import_39surgery.py | import_39surgery.py | py | 4,618 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "py2neo.Graph",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "py2neo.Node",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "py2neo.Node",
"line_number": 5... |
71804901628 | from sklearn import datasets, svm, metrics
import sklearn
from config import opt
def load_data():
# The digits dataset
digits = datasets.load_digits()
n_samples = len(digits.images)
x = digits.images.reshape((n_samples, -1))
y = digits.target
x, y = sklearn.utils.shuffl... | hoxmark/Deep_reinforcement_active_learning | reinforcement/datasets/digit/dataset.py | dataset.py | py | 696 | python | en | code | 17 | github-code | 6 | [
{
"api_name": "sklearn.datasets.load_digits",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "sklearn.utils.shuffle",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "skl... |
31126744653 | print(__name__)
from distance_sensors.distance_emitter import distance_emitter
from behaviours.WallFollowing import WallFollowing
import asyncio
from event_emitter_asyncio.EventEmitter import EventEmitter
wall_follower = WallFollowing()
wall_follower.start()
async def main():
distance_task = asyncio.create_t... | gregorianrants/technic-bot | technic/run_wall_following.py | run_wall_following.py | py | 482 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "behaviours.WallFollowing.WallFollowing",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "asyncio.create_task",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "distance_sensors.distance_emitter.distance_emitter.start",
"line_number": 15,
... |
73799766909 | from django.conf.urls import include, url
from django.contrib import admin
urlpatterns = [
url(r'^Administrador/', include(admin.site.urls)),
url('^Biblia/', include('biblia.urls')),
url('^Hermanos/', include('hermanos.urls')),
url('^Culto/', include('culto.... | dibiro/IglesiaAdministrador | Iglesia/urls.py | urls.py | py | 331 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.include",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_nam... |
73014849787 | import json
import logging
try:
import Queue
except ImportError:
import queue as Queue
import threading
from collections import deque
import os
try:
from urllib.parse import unquote, quote
except ImportError:
from urllib2 import quote
from urlparse import unquote
log = logging.getLogger(__name__)
... | hansec/fortran-language-server | fortls/jsonrpc.py | jsonrpc.py | py | 8,257 | python | en | code | 282 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.name",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.path.normpath",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
30316002856 | """
Overview
========
The `grizzled.os` module contains some operating system-related functions and
classes. It is a conceptual extension of the standard Python `os` module.
"""
__docformat__ = "markdown"
# ---------------------------------------------------------------------------
# Imports
# ----------------------... | bmc/grizzled-python | grizzled/os.py | os.py | py | 10,175 | python | en | code | 22 | github-code | 6 | [
{
"api_name": "os.devnull",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "os.name",
"line_number": 86,
"usage_type": "attribute"
},
{
"api_name": "typing.Sequence",
... |
26581591640 | from functions import InstagramBot
from mongoConnect import connect
import json
import os
import time
import random
from dotenv import load_dotenv
from selenium.common.exceptions import NoSuchElementException
def SearchByHashTag_main():
with open("hashtags.json") as dataJson:
data = json.load(dataJson)
for getHas... | LeandroGelain/PersonalGit | 2020/ProjetoMarketing/instaBot/mainTest.py | mainTest.py | py | 2,185 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number":... |
40787844791 | '''Objectives:
* Connect to GCP pub-sub for IoT Core
* Subscribe to a topic
* Publish events to a topic
Fred T. Dunaway
Jan 3, 2020
Source: https://cloud.google.com/iot/docs/how-tos/mqtt-bridge
'''
import ssl
import jwt
import datetime
import time
import paho.mqtt.client as mqtt
# Variables that should be move to a... | mrncmoose/smart_controller | pi-code/gcp_pubsub_test.py | gcp_pubsub_test.py | py | 5,663 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 59,
"usage_type": "call"
},
{
"api_name... |
71994843068 | """General use functions.
"""
import time
import argparse
import numpy as np
from scipy.optimize import nnls
################################################################################
def sync(i, start_time, timestep):
"""Syncs the stepped simulation with the wall-clock.
Function `sync` calls time.slee... | kaustubhsridhar/Constrained_Models | Drones/gym-pybullet-drones/gym_pybullet_drones/utils/utils.py | utils.py | py | 5,211 | python | en | code | 15 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentTypeError",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line... |
2976709832 | import os
from typing import List
import torch
from torch.utils.data import Dataset
from PIL import Image
from pathlib import Path
from torchvision import transforms
class MVTecDataset(Dataset):
def __init__(self, path: str, train: bool, piece: str, states: List[str], transform:callable = None):
self.tra... | NilsB98/Diffusion-Based-AD | loader/loader.py | loader.py | py | 3,007 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"... |
28324614693 | import pygame
import random
import math
pygame.init()
class DrawInformation:
BLACK = 0, 0, 0
WHITE = 255, 255, 255
GREEN = 0, 255, 0
RED = 255, 0, 0
GREY = 128, 128, 128
BACKGROUND_COLOR = WHITE
SIDE_PAD = 100
TOP_PAD = 150
GRADIENT = [
(207, 159, 255),
(224, 176, ... | sanjaysaahu/sorting-alogorithm-visualizer | main.py | main.py | py | 7,058 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.font.SysFont",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pygame.font",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "pygame.font.SysFont",... |
1432020370 | #!/usr/bin/env python3.7
from typing import List, Optional, Callable, Tuple, Any, Dict
import fabio
from datetime import datetime
import argparse
import numpy as np
from utils import get_format
import h5py
def main():
parser = argparse.ArgumentParser(
description="Make a list .lst of diffraction patterns... | anananacr/p09-utils | scripts/algorithms/list_hits.py | list_hits.py | py | 1,191 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line... |
18602688384 | #User admin classes
#Django
from django.contrib.auth.admin import UserAdmin as BaseUserAdmin #combinar datos de profile y user
from django.contrib import admin
#Models
from django.contrib.auth.models import User
from users.models import Profile
#Register your models here.
#by convention 'admin' is always added to ... | SilviaAlarcon/Fitgram | users/admin.py | admin.py | py | 2,166 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 13,
"usage_type": "call"
},
... |
38050713302 | import pandas as pd
from datetime import datetime
def preprocess(data):
listings = pd.DataFrame(data, columns=["id", "listing_url", 'title', 'location', 'price', 'price_currency', 'listing_date', 'properties', 'description', 'scraped_date'])
listings = pd.concat([listings, listings['properties'].apply(pd.Serie... | Adeeshaj/carvestor-analyzer | services/preprocess.py | preprocess.py | py | 1,564 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.Series",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now"... |
18917361962 | # Inspired / borrowed from the `click-logging` python package.
import logging
import sys
import traceback
from enum import IntEnum
from pathlib import Path
from typing import IO, Any, Dict, Optional, Union
import click
class LogLevel(IntEnum):
ERROR = logging.ERROR
WARNING = logging.WARNING
SUCCESS = log... | ApeWorX/ape | src/ape/logging.py | logging.py | py | 8,244 | python | en | code | 736 | github-code | 6 | [
{
"api_name": "enum.IntEnum",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "logging.ERROR",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "logging.WARNING",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
... |
22950183060 | import pandas as pd
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_absolute_error, r2_score
from sklearn.preprocessing import LabelEncoder, StandardScaler
from sklearn.ensemble import RandomForestRegressor, AdaBoostRegressor
from sklearn.tree import Dec... | WG983/Twitter-Sentiment-Analysis | compare-regressions.py | compare-regressions.py | py | 5,915 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "seaborn.histplot",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "seaborn.histplot",
... |
15361789827 | import requests
from bs4 import BeautifulSoup
def get_ciphertext(url):
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
data = soup.find_all('pre')[0].get_text().split('\n')
ciphertext = [line for line in data if len(line) == 32]
return ciphertext
def find_first_byt... | 95/ilc | w7/ctfcbc.py | ctfcbc.py | py | 912 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 6,
"usage_type": "call"
}
] |
2655279047 | # Blurring Techinques
import cv2 as cv
img = cv.imread('photos/bhagsu.jpg')
cv.imshow('Bhagsu', img)
# Averaging
average = cv.blur(img, (3,3))
cv.imshow('Average', average)
# Gaussian blur
gauss = cv.GaussianBlur(img, (3,3), 0)
cv.imshow('Gaussian blur', gauss)
# Median Blur
median = cv.medianBlur(... | TenzinTsundue/Computer-Vision-task | OpenCV-Related/smoothing.py | smoothing.py | py | 514 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.blur",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 10,
"... |
1796168362 | import sqlite3 as sql
class Data:
def __init__(self, temperature: float, light: int, humidity: float,
heat_index: float, ground_temperature: float, ground_moisture: float,
microcontroller_id: int, microcontroller_user_id: int, data_id: int = None,
timestamp: sql... | Akoens/GCMCSWebserver | models/data.py | data.py | py | 1,705 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.Timestamp",
"line_number": 9,
"usage_type": "attribute"
}
] |
10424195301 | #-*- coding: utf-8 -*-
u"""
.. moduleauthor:: Martí Congost <marti.congost@whads.com>
"""
import cherrypy
import os
from tempfile import mkdtemp
from zipfile import ZipFile
from shutil import copyfileobj
from cocktail.modeling import cached_getter
from cocktail import schema
from cocktail.persistence import datastore
... | marticongost/woost | woost/controllers/backoffice/uploadfilescontroller.py | uploadfilescontroller.py | py | 3,237 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "woost.controllers.backoffice.basebackofficecontroller.BaseBackOfficeController",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "cocktail.schema.Schema",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "cocktail.schema",
"line_number": 34,
... |
35800921046 | import unittest
import contextlib
import io
f = io.StringIO()
with contextlib.redirect_stdout(f):
from task import img
output = f.getvalue().split('\n')
class TestCase(unittest.TestCase):
def test_ndim(self):
expected, actual = str(img.ndim), output[1]
self.assertEqual(expected, actual, msg="... | jetbrains-academy/Python-Libraries-NumPy | Projects/SVD/Load Image/tests/test_task.py | test_task.py | py | 590 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "io.StringIO",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "contextlib.redirect_stdout",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "task.img.... |
73022293948 | import time
import pickle
import matplotlib.pyplot as plt
from scipy.integrate import odeint
import phys_funs as pf
import channel_funs as cf
import dynamics_funs as df
from cfg import *
from constants import *
# =========== parameters ===========
file = open("nexus_point_neuron_parameters.pkl",'rb')
nexus... | amirdud/ca_spike_modulation | Fig4_3_two_variables.py | Fig4_3_two_variables.py | py | 6,846 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pickle.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "scipy.integrate.odeint",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "dynamics_funs.compute_de... |
41134496979 | import os
from dotenv import load_dotenv
import openai
import discord
# Add intents
intents = discord.Intents.default()
intents.message_content = True
client = discord.Client(intents = intents)
# Get token and key
load_dotenv()
BOT_TOKEN = os.getenv('BOT_TOKEN')
OPENAI_KEY = os.getenv('OPENAI_KEY')
# Send prompt to ... | Zuha-SB/LangChain | discord-chatbot/main.py | main.py | py | 1,075 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "discord.Intents.default",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "discord.Intents",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "discord.Client",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dotenv.load_... |
72827959227 | # a working prototype has been finally created !
from kivy.app import App
# from kivy.uix.label import Label ;this import was not used
from kivy.properties import ObjectProperty
from kivy.uix.screenmanager import ScreenManager, Screen
from kivy.lang import Builder
Builder.load_file("design.kv")
# focus_nex... | ilprofessore/python_kivy_gui_2.0 | main.py | main.py | py | 1,594 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "kivy.lang.Builder.load_file",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "kivy.lang.Builder",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "kivy.uix.screenmanager.Screen",
"line_number": 13,
"usage_type": "name"
},
{
"api_nam... |
27609107080 | import re
from datetime import datetime, timedelta
import requests
from bs4 import BeautifulSoup
class Weather:
def __init__(self):
self.location_name: str = ""
# 風向，單位 度，一般風向 0 表示無風
self.wind_direction: str = ""
# 風速，單位 公尺/秒
self.wind_speed: int = 0
# 小時最大陣風風速，單位 ... | FawenYo/Eatender | project/weather/main.py | main.py | py | 5,471 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 104,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 104,
"usage_type": "name"
},
{
"api_name": "requests.get",... |
73235161789 | import spacy
from spacy.tokens import Doc
import pandas as pd
from spacy.pipeline.dep_parser import DEFAULT_PARSER_MODEL
from PartC import PartC
import csv
config = {
"moves": None,
"update_with_oracle_cut_size": 100,
"learn_tokens": False,
"min_action_freq": 30,
"model": DEFAULT_PARSER_MODEL,
}
# def ... | jgrguric96/uni-Natural_Language_processing | Assignment_2/PartB.py | PartB.py | py | 4,730 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "spacy.pipeline.dep_parser.DEFAULT_PARSER_MODEL",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "pandas.read_table",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_NONE",
"line_number": 36,
"usage_type": "attribute"
},
{
... |
38583960030 | import logging
# logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger('test')
import os
from slack_sdk import WebClient
import datetime as dt
from slack_sdk.errors import SlackApiError
TOKEN = "xoxb-3304749042240-3295636403457-PND6zGxAgmSk7NhoQYSnINeF"
def get_channel_id(client, channel_name):
"... | ssy0061/BODA-JUDA | trainingServer/AEye02/slack_post.py | slack_post.py | py | 1,356 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "slack_sdk.errors.SlackApiError",
"line_number": 44,
"usage_type": "name"
}
] |
39697348269 | import numpy as np
import matplotlib.pyplot as plt
data = np.loadtxt("time_series_K_fb=0,35_phi=1,5.txt")
time = data[:, 0]
intensity_1_1 = data[:, 1]
intensity_1_2 = data[:, 2]
intensity_1_3 = data[:, 3]
intensity_1_4 = data[:, 4]
data = np.loadtxt("time_series_K_fb=0,328_phi=2.86.txt")
i... | sir-aak/microscopically-derived-rate-equations | plotscripts/mdre_plotscript_network_time_series.py | mdre_plotscript_network_time_series.py | py | 4,736 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.loadtxt",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_nu... |
29717001734 | from enum import Enum
from math import inf
from random import choice
import numpy as np
import collections
import itertools
from basePlayer import BasePlayer
from controller import Controller
from board import Board
from minimaxPlayer import MiniMaxPlayer
from randomPlayer import RandomPlayer
from qlearnin... | Gbor97/TicTacToe | trainer.py | trainer.py | py | 14,707 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "board.Board",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "controller.Controller",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "generals.save",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "generals.save",
"... |
22633572797 | from storytime import app
import storytime.config as config
import storytime.dbtools as dbtools
from flask.ext.script import Manager
def create_app(cfg=None):
if cfg=='debug':
app.config.from_object(config.debugConfig)
elif cfg=='production':
app.config.from_object(config.productionConfig)
... | Noura/storytime | run_app.py | run_app.py | py | 651 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "storytime.app.config.from_object",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "storytime.app.config",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "storytime.app",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": ... |
70941512829 | from itertools import islice
from typing import Dict, List
import pandas as pd
from instaloader import Post, Profile
from loguru import logger
from tqdm import tqdm
from src import get_profile
def generate_post_metadict(post: Post,
full_metadata: bool = False
) ... | RickArko/Instagram | src/posts.py | posts.py | py | 2,094 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "instaloader.Post",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "instaloader.Profile",
"line_number": 50,
"usage_type": "name"
},
{
"api_name": "loguru.logger.debug"... |
25940895514 | from django.db import models
from django.contrib.auth.models import AbstractUser
# Create your models here.
# User models that includes employee and employers
class User(AbstractUser):
is_email_verified = models.BooleanField(default=False)
email = models.EmailField(unique=True)
# log in with email instea... | Kjeff24/FileServer | myapp/models.py | models.py | py | 1,822 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.models.AbstractUser",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.models.BooleanField",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.db.models",
"line_number": 8,
"usage_type": "name"
},
{
... |
72217060668 | #!/usr/bin/python3
"""Test module for base model"""
from models import storage
from models.base_model import BaseModel
import unittest
import json
class TestFileStorage(unittest.TestCase):
"""Test module for base class"""
def test_new_object(self):
"""test_new_object function
Tests that when... | Ayo-Awe/AirBnB_clone | tests/test_models/test_engine/test_file_storage.py | test_file_storage.py | py | 1,631 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "models.base_model.BaseModel",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.storage.all",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": ... |
71107402109 | # import the necessary packages
import requests
import numpy as np
import pandas as pd
import json
import time
from time import localtime, strftime
import traceback
import cv2
# initialize the Keras REST API endpoint URL
KERAS_REST_API_URL = "http://127.0.0.1:5001/predict"
#KERAS_REST_API_URL = "http://app02-stg.inwi... | inwini/plant-monitor | API_request_test.py | API_request_test.py | py | 2,010 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number... |
69877651388 | """
287. Find the Duplicate Number
src: https://leetcode.com/problems/find-the-duplicate-number/
Given an array of integers nums containing n + 1 integers where each integer is in the range [1, n] inclusive.
There is only one repeated number in nums, return this repeated number.
You must solve the problem without mo... | awave1/leetcode | solutions/medium/find_duplicate_number.py | find_duplicate_number.py | py | 2,388 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.Optional",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "name"
}
] |
22575363842 | import os, wandb
import wandb.apis.reports as wr
assert os.getenv('WANDB_API_KEY'), 'You must set the WANDB_API_KEY environment variable'
def get_baseline_run(
entity: str,
project: str,
tag: str
):
"""
The function get_baseline_run retrieves the baseline run from a project using tags.
Parameters... | kaustubhbhavsar/issue-driven-model-comparison-wandb | generate_reports.py | generate_reports.py | py | 3,082 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.getenv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "wandb.Api",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 52,
"... |
34597815853 | '''
@author: Terry Ruas 2018-03-12
'''
#general libraries
import re
import numpy as np
from nltk.tokenize import RegexpTokenizer
from stop_words import get_stop_words
#self-packages
import wordnet_module.my_data as md
def build_word_data(words, trained_model, recurrent_flag):
import wordnet_module.synset_tracker ... | truas/MSSA | text_module/text_process.py | text_process.py | py | 3,461 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "wordnet_module.synset_tracker.build_synset_data",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "wordnet_module.synset_tracker",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "wordnet_module.my_data.WordsData",
"line_number": 20,
"usag... |
42976625048 | import pytest
import copy
import os
import torch
import torch.nn as nn
from fl_simulation.client.update import ControlVarDiff, FedAvgModelUpdate, ModelDiff, ScaffoldModelUpdate
from fl_simulation.server.aggregation import AggregatorWithDropouts, FedAvgAggregator, ScaffoldAggregator
torch.manual_seed(0)
device = torc... | microsoft/fl-simulation | tests/fl_simulation/server/test_aggregation.py | test_aggregation.py | py | 5,606 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "torch.manual_seed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.device",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
... |
40635224910 | from dra import dra
from clustering import clustering, analyze_clusters
import numpy as np
import mlrose_hiive as ml
from util import plt, plot, set_seed, start_time
from sklearn.metrics import accuracy_score
from data import yoga_labels_count, get_yoga_data, get_stock_data, stock_labels_count
from clustering import km... | duttaoindril/omscs_7641 | 3/nn.py | nn.py | py | 4,293 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "mlrose_hiive.NeuralNetwork",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "util.start_time",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "data.loss",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "sklearn.met... |
36783545761 | from flask import request
from ora_adapter import Oracle
from server import app
from server.model import ErrorHandlerAndSend
@app.endpoint("vftae")
@ErrorHandlerAndSend(app)
def vftae():
_id = request.form.get('id')
name = request.form.get('name') # type: str
variable_type = request.form.get('variable_t... | AzaubaevViktor/gibdd_db | server/controller/vehicleFeatureType.py | vehicleFeatureType.py | py | 1,111 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.request.form.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.form",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask.re... |
25963948816 | import tensorflow as tf
import tensorflow_hub as hub
import matplotlib.pyplot as plt
import numpy as np
import os
import pandas as pd
import re
import seaborn as sns
# 디렉토리 안에 모든 파일들을 DataFrame 형태로 읽어옵니다.
# 구체적으로 문장(sentence)과 문장의 감정상태의 확신정도(sentiment=1~10)를 읽어옵니다.
def load_directory_data(directory):
data = {}
... | 2019-graduation-work/keras-modeling | testPy.py | testPy.py | py | 6,753 | python | ko | code | 1 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "tensorflow.gfile.GFile",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tensorflow.gfile",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "os.path.join"... |
72531842109 | """Adds priority col
Revision ID: c3c564121364
Revises: 2ca532b0831f
Create Date: 2022-11-15 13:51:16.928575+00:00
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "c3c564121364"
down_revision = "2ca532b0831f"
branch_labels = None
depends_on = None
def upgrade(... | ITISFoundation/osparc-simcore | packages/postgres-database/src/simcore_postgres_database/migration/versions/c3c564121364_adds_priority_col.py | c3c564121364_adds_priority_col.py | py | 721 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "alembic.op.add_column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer... |
21971418424 | from pgmpy.readwrite import BIFReader
from pgmpy.inference import VariableElimination
#Las nuevas variables
var={
"age":["Adulto","AdultoJoven","AdultoMayor"],
"sex":['1.0','0.0'],
"cp":['1.0','2.0','3.0','4.0'],
#OJO HAY QUE ANIADIR HIPOTENSION AL TRESTBPS
"trestbps":["TensionNormal","Hipertensi... | SantiagoZub/repoACTDproyecto2 | ModelosYEstadisticas/mundo.py | mundo.py | py | 3,370 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "pgmpy.readwrite.BIFReader",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pgmpy.readwrite.BIFReader",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pgmpy.readwrite.BIFReader",
"line_number": 31,
"usage_type": "call"
},
{
"api... |
39263211856 | from django.contrib.auth.models import User
from unittest import TestCase
from eums.models.users import UserProfile
class UserProfileTest(TestCase):
def test_user_fields(self):
user_profile = UserProfile()
fields = [str(item.attname) for item in user_profile._meta.fields]
self.assertEqual... | unicefuganda/eums | eums/test/models/test_users_model.py | test_users_model.py | py | 695 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "eums.models.users.UserProfile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects.create",
"line_number": 16,
"usage_type": "call"
... |
25573645904 | from flask import Flask, jsonify, request
from flask_sqlalchemy import SQLAlchemy
from datetime import datetime
from models import Hospital, Doctor, Patient, Appointment, PatientsReports
import os
db = SQLAlchemy()
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql://root:Auca%402020@localhost/ho... | makuachteny/MEDCONNECT | Back-end/models/app.py | app.py | py | 5,193 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.Patient.query.all",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "mode... |
71498170748 | from django import http
from django import forms as django_forms
from django.views import generic
from . import forms, models
from .domain import gm_descriptions, player_descriptions
class Home(generic.TemplateView):
template_name = "home.html"
def get_context_data(self, **kwargs: object) -> dict[str, objec... | LomaxOnTheRun/ChatRPG | src/game/views.py | views.py | py | 4,740 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.views.generic.TemplateView",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.views.generic",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.views.generic.FormView",
"line_number": 20,
"usage_type": "attribute"
... |
11239354134 | from django.contrib.auth.forms import UserChangeForm, UserCreationForm
from django import forms
from .models import *
class MyUserChangeForm(UserChangeForm):
class Meta:
model = User
fields = '__all__'
class MyUserCreationForm(UserCreationForm):
class Meta:
model = User
field... | amaguri-star/cross_book | cross_book/forms.py | forms.py | py | 2,130 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.contrib.auth.forms.UserChangeForm",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.forms.UserCreationForm",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelForm",
"line_number": 18,
"usage_typ... |
8499193704 | class StockAnalysis(object):
def __init__(self, order_history, owned_stocks, dates_arr, date_keyed, buy_conditions, sell_conditions):
self.order_history = order_history
self.owned_stocks = owned_stocks
self.dates_arr = dates_arr
self.date_keyed = date_keyed
self.buy_conditions = buy_conditions
self.sell_co... | MikeDombo/Stock_Backtester | StockAnalysis.py | StockAnalysis.py | py | 7,253 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
71474373307 | # A small example of training an SVM and classifying an input data
import cv2
import numpy as np
import matplotlib.pyplot as plt
def get_human_label(raw_label):
return 'red' if raw_label == 0 else 'blue'
def main():
# Create a sample training data and associated labels
train_data = np.array([[1, 1], [2,... | gkostadinov/py-pil-imageprocessing | 10-opencv/3.svm.py | 3.svm.py | py | 1,548 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.int",
"line_numb... |
9274497487 | #Dylan
import pygame
import random
pygame.init()
pygame.mixer.init() # para cargar los audios que se usan
fondo = pygame.image.load('assets/fondo.png')
laser_sonido = pygame.mixer.Sound('laser.wav')
explosion_sonido = pygame.mixer.Sound('explosion.wav')
golpe_sonido = pygame.mixer.Sound('golpe.wav')
explosion_list... | dylanbarajas/kodlan-Pygame | main.py | main.py | py | 7,421 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.init",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
... |
27593499704 | import logging
import os
import sys
client_logger = logging.getLogger('client')
PATH = os.path.dirname(os.path.abspath(__file__))
PATH = os.path.join(PATH, 'client.log')
formatter = logging.Formatter('%(asctime)s %(levelname)-8s %(funcName)s '
'%(message)s',datefmt='%Y %b %d %H:%M:%S',)
f... | ide007/DB_and_PyQT | Lesson_1/logs/client_log_config.py | client_log_config.py | py | 733 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"li... |
72408778428 | from flask import Flask, request
from datetime import datetime
import simplejson as json
app = Flask(__name__)
db = {} # key: value -> "foo": "hello world"
db_history = {} # key: [{value1, timestamp1}, {value2, timestamp2}]
@app.route("/<key>", methods = ["GET", "PUT", "DELETE"])
def main(key):
# retr... | aytanyz/key-value-store | main.py | main.py | py | 1,980 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.request.meth... |
3233569816 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import argparse
import datetime
# The above could be sent to an independent module
import backtrader as bt
import alpaca_backtrader_api
class TestStrategy(bt.Strategy):
params = dict(
smaperiod=... | alpacahq/alpaca-backtrader-api | sample/strategy_sample_code.py | strategy_sample_code.py | py | 17,537 | python | en | code | 547 | github-code | 6 | [
{
"api_name": "backtrader.Strategy",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "backtrader.Order",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "backtrader.indicators.MovAv.SMA",
"line_number": 39,
"usage_type": "call"
},
{
"ap... |
32617478205 |
import numpy as np
from time import time
from sklearn.utils import check_random_state
from textwrap import dedent
def pp(problem, user, max_iters=100, verbose=False, rng=None, timeout=None,
improve_margins=None, use_mean_margin=False):
rng = check_random_state(rng)
print(dedent('''\
elici... | unitn-sml/pcl | parts/coactive.py | coactive.py | py | 1,971 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sklearn.utils.check_random_state",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "textwrap.dedent",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time.tim... |
38777236576 | import utils
from datetime import datetime,timedelta,date
from cn_stock_holidays.zipline.default_calendar import shsz_calendar
import tushare as ts
import click
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib
matplotlib.style.use('ggplot')
#today = datetime.now().date()
#checkday = today-timedelt... | maxwell-lv/MyQuant | cixinindex.py | cixinindex.py | py | 2,110 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.style.use",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.style",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "dateti... |
4068002481 | import gcsfs
import pickle
import pandas as pd
from google.cloud import storage
class GCSUtil:
def __init__(self, bucket_name):
self.client = storage.Client()
self.bucket = self.client.get_bucket(bucket_name)
self.bucket_name = bucket_name
self.datapath = "gcs://{}/".format(bucket_n... | SamarthGupta93/gcp-utils | gcsutil.py | gcsutil.py | py | 1,158 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "google.cloud.storage.Client",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "google.cloud.storage",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "gcsfs.GCSFileSystem",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pa... |
23678285402 | from django import forms
from crispy_forms.helper import FormHelper
from crispy_forms.layout import Submit, Layout, Row, Column
from django.core.exceptions import ValidationError
from django.utils import timezone
class TagSettingsForm(forms.Form):
formula = forms.ChoiceField(choices=[("mean", "Mean"), ("median", ... | Bhavatu/oura_tag | oura_tag_app/oura_tag_app/forms.py | forms.py | py | 2,138 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.forms.Form",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.forms.ChoiceField",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.form... |
12932566568 | import json
from django.contrib.staticfiles import finders
from django.shortcuts import render
from django.urls import re_path as url
def jslicenses(request):
jslicenses_file = finders.find("jssources/jslicenses.json")
jslicenses_data = {}
if jslicenses_file is not None:
jslicenses_data = json.lo... | SoftwareHeritage/swh-web | swh/web/jslicenses/urls.py | urls.py | py | 617 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "django.contrib.staticfiles.finders.find",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.contrib.staticfiles.finders",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
... |
17569857503 | import pygame
import math
from game import Game
pygame.init()
clock = pygame.time.Clock()
FPS = 60
# generer la fenetre de notre jeu
pygame.display.set_caption("shooter_game")
screen = pygame.display.set_mode((1080, 720))
runnig = True
background = pygame.image.load('PygameAssets-main/bg.jpg', )
banner = ... | Baptiste-Bachelier/shooter_pygame | main.py | main.py | py | 1,884 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.time.Clock",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_captio... |
14024991711 | import json
from typing import Dict, Any
import config
import events
from custom_types import AlexaResponse
def log_event_to_cloudwatch(event: Dict[str, Any]) -> None:
print(json.dumps(event))
def validate_application_id(event: Dict[str, Any]) -> None:
application_id: str = (
event["session"]["app... | ChristChurchMayfair/ccm-alexa-skill | src/alexa_main.py | alexa_main.py | py | 949 | python | en | code | null | github-code | 6 | [
{
"api_name": "typing.Dict",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 14... |
25987408258 | import os
from pathlib import Path
from testcase import CT_PROFILE, CT_API_KEY, PROP_MODIFIED
from testcase import TestCase
class TestRun(TestCase):
def test_run_inheritance_env_only(self):
base_cmd = self.get_cli_base_cmd()
cmd_env = self.get_cmd_env()
proj_name = self.make_name("run-env... | cloudtruth/cloudtruth-cli | integration-tests/test_run.py | test_run.py | py | 7,142 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "testcase.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "testcase.CT_API_KEY",
"line_number": 82,
"usage_type": "name"
},
{
"api_name": "testcase.CT_PROFILE",
"line_number": 83,
"usage_type": "argument"
},
{
"api_name": "testcase... |
14453535538 | from icalendar import Calendar, Event
from typing import List
def create_calendar(lst_event: List[Event]) -> Calendar:
"""Create calendar
Args: lst_event (List[Event]): list of events
Returns: Calendar
Create calendar from list of events"""
cal = Calendar()
cal.add("prodid", "-//FREDLE09/... | fredle09/UIT-VNU_UniversityScheduleConversionTool | utils/create_calendar.py | create_calendar.py | py | 426 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "icalendar.Event",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "icalendar.Calendar",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "icalendar.Calendar",
... |
40441098304 | from flask import Flask, request
from flask_restx import Api, Resource
from flask_sqlalchemy import SQLAlchemy
from marshmallow import Schema, fields
# Создаем приложение Flask
app = Flask(__name__)
# Настраиваем работу с базой данных
app.config['SQLALCHEMY_DATABASE_URI'] = "sqlite:///test.db"
app.config['SQLALCHEMY_... | namazovanton/homework_17 | main.py | main.py | py | 17,296 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "marshmallow.Schema",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "marshmallow... |
18604315833 | import pyarrow
import pandas as pd
import numpy as np
import seaborn
import matplotlib.pylab as plt
from scipy.stats import gaussian_kde
import math
class ProcessGameState:
def __init__(self, game_data):
self.state = pd.read_parquet(game_data, engine='pyarrow')
def in_boundaries(self, x_bound, y_bound,... | swayamrana/Evil-Genius-SWE-Intern-Assessment | GameState/ProcessGameState.py | ProcessGameState.py | py | 4,027 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_parquet",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "seaborn.heatmap",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "scipy.stats.gaussian_kde",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "numpy.li... |
73785814269 | """testing removal of post_reactions
Revision ID: 1c2eab9014ec
Revises: 02f37635144e
Create Date: 2021-06-23 14:18:01.564901
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '1c2eab9014ec'
down_revision = '02f37635144e'
branch_labels = None
depends_on = None
d... | composerben/flask-group-project | migrations/versions/20210623_141801_testing_removal_of_post_reactions.py | 20210623_141801_testing_removal_of_post_reactions.py | py | 1,184 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "alembic.op.drop_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "alembic.op.create_table",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "alembic.op",... |
75316051386 | import os
import wx
from wx.lib.pubsub import pub
import pandas as pd
from boautil.file import open_file
from ..model.project import Project
from ..form.file import NewProjectDialog, OpenProjectDialog, SaveProjectDialog, SaveAsProjectDialog, CloseProjectDialog
from ..form.about import AboutDialog
from ..form.settin... | JoenyBui/boa-gui | boaui/controller/dlg.py | dlg.py | py | 5,457 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "form.file.NewProjectDialog",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "wx.lib.pubsub.pub.sendMessage",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "config.EVT_CHANGE_PROJECT",
"line_number": 69,
"usage_type": "argument"
},
{... |
3607194607 | '''# -*- coding: utf-8 -*-
"""
Created on Tue Nov 17 21:40:41 2020
@author: win10
"""
# 1. Library imports
import uvicorn
from fastapi import FastAPI
from HeartDiseases import HeartDisease
import numpy as np
import pickle
import pandas as pd
# 2. Create the app object
app = FastAPI()
pickle_in = ope... | paudel-sandesh/heart_disease_detection | app.py | app.py | py | 3,285 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "flask.Flask",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "flask.request.form.valu... |
38456706936 | # Machine Learning Practical (INFR11119),
# Pawel Swietojanski, University of Edinburgh
import numpy
import logging
from mlp.layers import Layer, max_and_argmax
from numpy.lib.stride_tricks import as_strided as ast
from numpy import newaxis
logger = logging.getLogger()
logger.setLevel(logging.INFO)
'''
from distuti... | stathislempesis/convolution_neural_network_msc_assignment | conv.py | conv.py | py | 19,061 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"li... |
2182199459 | from vertex import Vertex
import logging
import json
class Graph:
def __init__(self):
"""
Constructor for a Graph Object
"""
self.vertex_list = {}
self.graph_size = 0
def __iter__(self):
"""
Iterator
:return: Returns the iterative of the values ... | ahchang6/web_scraping | graph.py | graph.py | py | 4,154 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.info",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "vertex.Vertex",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "vertex.add_neighbor",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line... |
10899935319 | from keras.callbacks import CSVLogger, ModelCheckpoint, EarlyStopping
from keras.callbacks import ReduceLROnPlateau
from keras.preprocessing.image import ImageDataGenerator
from keras.layers import Activation, Convolution2D, Dropout, Conv2D
from keras.layers import AveragePooling2D, BatchNormalization
from keras.layers... | hassanahmed95/My_True_Face | ML_training/mini_xeption_model.py | mini_xeption_model.py | py | 5,644 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "keras.regularizers.l2",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "keras.layers.Input",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "keras.layers.Conv2D",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "keras.la... |
74743635386 | from camelot.view.model_thread import post
from choiceseditor import ChoicesEditor
class OneToManyChoicesEditor(ChoicesEditor):
def __init__(self, parent, target=None, nullable=True, **kwargs):
super(OneToManyChoicesEditor, self).__init__(parent, **kwargs)
assert target!=None
self._targe... | kurtraschke/camelot | camelot/view/controls/editors/onetomanychoiceseditor.py | onetomanychoiceseditor.py | py | 836 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "choiceseditor.ChoicesEditor",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "camelot.view.model_thread.post",
"line_number": 11,
"usage_type": "call"
}
] |
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