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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
37754251360 | import json
import requests
key = "AIzaSyA-"
cx = ""
def getimage(query):
url = f"https://www.googleapis.com/customsearch/v1?q={query}_logo&num=1&cx={cx}&alt=json&key={key}&searchType=image"
response = requests.get(url)
text = response.text
data = json.loads(text)
image_link = data['items'][0]['l... | juntaosh/USHospitalandHotelShowCaseRepo | flask-frontend/getimage.py | getimage.py | py | 1,719 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": ... |
12746561390 | from decimal import Decimal
from typing import Optional
from hummingbot.client.config.config_validators import (
validate_bool,
validate_decimal,
validate_exchange,
validate_int,
validate_market_trading_pair,
)
from hummingbot.client.config.config_var import ConfigVar
from hummingbot.client.setting... | supercrytoking/hummingbot | hummingbot/strategy/fixed_grid/fixed_grid_config_map.py | fixed_grid_config_map.py | py | 7,026 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "hummingbot.client.settings.AllConnectorSettings.get_example_pairs",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "hummingbot.client.settings.AllConnectorSettings",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "hummingbot.client.config.config... |
40669014397 | import numpy as np
from collections import Counter
import operator
import os
from sklearn.neighbors import KNeighborsClassifier as knn
train_digits='./digits/trainingDigits'
test_digits='./digits/testDigits'
def classify0(inx,dataset,labels,k):
dist=np.sum((inx-dataset)**2,axis=1)**0.5
k_labels=[labels[i] for... | whyang78/machineLearning-base | KNN/手写数字识别.py | 手写数字识别.py | py | 2,580 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "numpy.sum",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_num... |
24855383933 | import time
import datetime
from ffpyplayer.player import MediaPlayer
import numpy as np
import torch
import pandas as pd
import cv2
video_urls = {
"Pjaca": "https://ch-fra-n12.livespotting.com/vpu/ggazg0ll/g98s254r_720.m3u8",
"Burkovo": "https://ch-fra-n9.livespotting.com/vpu/ggazg0ll/taelb29k_1080.m3u8",
... | hellvetica42/JelsaWebcam | TrafficLogger.py | TrafficLogger.py | py | 2,853 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number"... |
11597366636 | import time
from typing import List
import numpy as np
import torch
from matplotlib import pyplot as plt
from mpi4py import MPI
from sklearn.datasets import load_boston
from torch import nn
from FedProx_sim import (CentralizedModel, agent_trainer, co_aggregation,
data_splitter)
from utils imp... | farzad1132/federated-emulation | FedProx_emu.py | FedProx_emu.py | py | 13,378 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "seaborn.set",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "mpi4py.MPI.Intercomm",
... |
32171048849 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import logging
import sys
import traceback
import os
import importlib
import yaml
from . import defaults
logger = logging.getLogger(__name__)
project_path = os.path.dirname(os.path.dirname(__file__))
def update_recursively(d, ud, overwrite=True):
f... | marcinguy/checkmate-ce | checkmate/settings/base.py | base.py | py | 4,487 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "importlib.import_modul... |
71340907744 | from django.apps import apps
import json
class Metadata:
"""
"""
def __init__(self, parent, metadata=None):
self.parent = parent
self.metadata = json.loads(metadata) if metadata else {}
def get_metadata(self, metadata_type, names=None):
metadata_model = apps.get_model("vb_dja... | kurtw555/vb_django | vb_django/app/metadata.py | metadata.py | py | 1,916 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.apps.apps.get_model",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.apps.apps",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.apps.ap... |
72423925342 | # -*- coding: utf-8 -*-
"""
language.py
Author: Gilson, K.
"""
from typing import Any
from .mixin import JSONableMixin
class Language(JSONableMixin):
"""Language: inherit from 'JSONableMixin'.
Attributes:
name (str): language name.
irl_scale (str, optional): IRL Scale level of competence. D... | gilsonk/cv_builder | cv/language.py | language.py | py | 2,808 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "mixin.JSONableMixin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 35,
"usage_type": "name"
}
] |
2325721972 | from django.shortcuts import render
from polls.models import Poll, Alert
from django.db.models import Q
def index(request):
if not request.user.is_authenticated:
return render(request, "welcome.html")
query = request.GET.get("q")
polls = Poll.objects.all()
alerts = Alert.objects.filter(is_act... | reo6/surveys | core/views.py | views.py | py | 612 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.shortcuts.render",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "polls.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "polls.models.Poll.objects.all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pol... |
1067474465 | import requests
import json
def test_insecure_plugin_design(base_url, api_key, plugin_endpoint):
# Lista de payloads que podrían explotar un diseño inseguro en plugins
malicious_payloads = [
"<script>alert('XSS')</script>",
"'; DROP TABLE users;--",
"admin' OR '1'='1",
... | grupooruss/Pentesting-LLM | Insecure Plugin Design.py | Insecure Plugin Design.py | py | 1,483 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "json.dumps",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 33,
"usage_type": "call"
}
] |
71106300385 | # !/usr/bin/env python
# -*- coding: utf-8 -*-
"""
main algorithm support bot
"""
import logging
from config import BotConfig
from telegram import (ReplyKeyboardMarkup, Bot)
from telegram.ext import (Updater, CommandHandler, MessageHandler, Filters, RegexHandler,
ConversationHandler)
import ... | adeljavad/hackathon | poshtiban.py | poshtiban.py | py | 8,604 | python | fa | code | 0 | github-code | 7 | [
{
"api_name": "os.path.join",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings.configure",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "django.conf.... |
74428912544 | from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support import expected_conditions as EC
from urllib.parse impo... | zifeiyu0531/Internet-worm-WeChat | mainpage.py | mainpage.py | py | 5,445 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 20,
"usage_type": "name"
},
{... |
70001063584 | import cv2
import numpy as np
from editor.utils import memoize
@memoize
def getVideoCapture(filePath: str)->cv2.VideoCapture:
return cv2.VideoCapture(filePath)
@memoize
def readCapture(cap:cv2.VideoCapture, frame)->np.ndarray:
cursor = cap.get(cv2.CAP_PROP_POS_FRAMES)
if frame!=cursor:
cap.set(c... | zalavariandris/editor | read.py | read.py | py | 1,040 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "editor.utils.memoize",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "cv2.VideoCap... |
18195993123 | from discord.ext import commands
class Owner(commands.Cog):
"Just for Djarrah's eyes"
def __init__(self, bot):
self.bot = bot
@commands.command(help="unloads a cog", hidden=True, aliases=["unload"])
@commands.is_owner()
async def unload_cog(self, ctx, cogname: str):
try:
... | Djarrah/LudiBot | cogs/owner.py | owner.py | py | 1,590 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.command",
"line_number": 11,
"usage_type": "call"
},
{
"api... |
37955186378 | import numpy as np
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt
plt.style.use('ggplot')
import seaborn
from scipy.stats import kurtosis
from lambertw.gaussianize import gaussianize
def normalize(y):
return (y - np.mean(y)) / np.std(y)
n = 500000
y_laplace_1 = np.random.laplace(0, 4, ... | jmnel/neuralsort | src/analysis/flat_gaussianize.py | flat_gaussianize.py | py | 1,495 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "matplotlib.use",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "... |
21024374797 | from design_baselines.data import StaticGraphTask
from design_baselines.logger import Logger
from design_baselines.utils import spearman
from design_baselines.utils import soft_noise, cont_noise, disc_noise
from design_baselines.safeweight_latent.trainers import Trainer
from design_baselines.safeweight_latent.nets impo... | sihyun-yu/RoMA | design_baselines/safeweight_latent/__init__.py | __init__.py | py | 7,737 | python | en | code | 12 | github-code | 7 | [
{
"api_name": "numpy.mean",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.std",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_num... |
31028960778 | import collections
import os.path
import subprocess
import numpy as np
from . import utils
UCHAR = 'B'
DOUBLE = '>d'
INT = '>i'
class BibarchReader:
def __init__(self, filename):
self.chapter_readers = {
'VERSION': self._ch_version,
'TITRE': self._ch_title,
'GLOBAL'... | pierreXVI/post_processing | postprocess_package/postprocess/bibarch.py | bibarch.py | py | 18,242 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.defaultdict",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 42,
"usage_type": "call"
},
{
"api_name"... |
30267973285 | """
There is some tool which sends request to the switch/router.
When device take this request it sends the file (e.g. configuration) to the TFTP as a response.
Server is needed to confirm and to prove vulnerability.
"""
import logging
import socket
import os
import select
import time
from threading import Event, Lock... | FCG-LLC/aucote | utils/tftp.py | tftp.py | py | 10,532 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "select.epoll",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "threading.Lock",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "threading.Event",
"... |
16449486324 | import machine
from time import sleep
from rulib import *
from config import c
display = Display(c)
info(str(display) + ' initialized')
try:
ip = Wifi(c).connect()
except RuntimeError as e:
display.error()
error(e)
sleep(60)
machine.reset()
info('connected to ' + c.wifi_ssid + ', got IP ' + ip)
... | tmsmr/RUC | unicorn/main.py | main.py | py | 782 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "config.c",
"line_number": 8,
"usage_type": "argument"
},
{
"api_name": "config.c",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "time.sleep",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "machine.reset",
"line_number"... |
5202975616 | from django.db.utils import IntegrityError
from api.modules.users.models import User
from django.contrib.auth import authenticate
from rest_framework import status
from rest_framework import serializers
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework.authtoken.m... | petrut22/FestivalWatch-backend | backend/api/modules/authentication/register/views.py | views.py | py | 2,310 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "rest_framework.status.HTTP_200_OK",
"line_number": 15,
"usage_type": "attri... |
8654097613 | import json
import os
import requests
from urllib.parse import urlparse
from slapos.testing.testcase import makeModuleSetUpAndTestCaseClass
setUpModule, SlapOSInstanceTestCase = makeModuleSetUpAndTestCaseClass(
os.path.abspath(
os.path.join(os.path.dirname(__file__), '..', 'software.cfg')))
class HTML5... | SlapOS/slapos | software/html5as/test/test.py | test.py | py | 5,396 | python | en | code | 37 | github-code | 7 | [
{
"api_name": "slapos.testing.testcase.makeModuleSetUpAndTestCaseClass",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
... |
36051346851 | from socket import *
import rsa
client_socket = socket(AF_INET, SOCK_STREAM)
client_socket.connect(("127.0.0.1", 8001))
# receive server's public key
server_public_key_bytes = client_socket.recv(1024)
server_public_key = rsa.PublicKey.load_pkcs1(server_public_key_bytes, "PEM")
print(server_public_key)
msg = input("... | gprok-esc-courses/advanced-python-spring-23 | 03-sockets/simple_encrypted/client.py | client.py | py | 565 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rsa.PublicKey.load_pkcs1",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rsa.PublicKey",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "rsa.encrypt",
"line_number": 16,
"usage_type": "call"
}
] |
33773963209 | from keras.optimizers import Optimizer
from keras.legacy import interfaces
from keras import backend as K
import tensorflow as tf
class AAdam (Optimizer):
#AADAM optimizer which implemets the aspect of acceleration in normal ADAM algorithm.
def __init__(self, learning_rate=0.001, beta_1=0.9, beta_2=0.999,
... | kushagradarkdk/OML_Project | code/accelarated_aadam.py | accelarated_aadam.py | py | 4,016 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "keras.optimizers.Optimizer",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "keras.backend.name_scope",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "kera... |
31894309714 | #!/usr/bin/python3
import pywikibot
from pywikibot import pagegenerators as pg
import urllib.parse
import requests
import requests.exceptions
bot = pywikibot.bot.WikidataBot()
with open('pka-query.rq', 'r') as query_file:
QUERY = query_file.read()
wikidata_site = pywikibot.Site("wikidata", "wikidata")
generator... | ysangkok/fix-wiki-links | wikidata_ft-dk_id.py | wikidata_ft-dk_id.py | py | 2,324 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pywikibot.bot.WikidataBot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pywikibot.bot",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pywikibot.Site",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pywikibot.p... |
72200397343 |
from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^new/$', views.new_user, name='new'),
url(r'^edit/(?P<user_id>[0-9]+)/$', views.edit_user, name='edit'),
url(r'^delete/(?P<user_id>[0-9]+)/$', views.delete_user, name='delete'),
url(r... | grubberr/milo_django_task | users/urls.py | urls.py | py | 371 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.co... |
8291585139 | from __future__ import print_function
import json
import boto3
print('Loading function')
def lambda_handler(event, context):
sensorValue=event['sensorValue']
if sensorValue=='unstable':
message='ALERT! Someone is in your house!'
# Parse the JSON message
eventText = json.dumps(event)
prin... | RETELLIGENCE-IWEN/IoT_TeamProject | aws/homeblackbox_lambdacode_backup1.py | homeblackbox_lambdacode_backup1.py | py | 602 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "json.dumps",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 19,
"usage_type": "call"
}
] |
33212630294 | import numpy as np
import scipy.sparse as sp
from ..simulation import BaseSimulation
from ..survey import BaseSurvey
from ..maps import IdentityMap
from ..utils import validate_list_of_types, validate_type
from ..props import HasModel
import itertools
import warnings
class MetaSimulation(BaseSimulation):
"""Comb... | simpeg/simpeg | SimPEG/meta/simulation.py | simulation.py | py | 16,768 | python | en | code | 438 | github-code | 7 | [
{
"api_name": "simulation.BaseSimulation",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "warnings.warn",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "survey.BaseSurvey",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "survey._vn... |
32204539254 | from django.shortcuts import render
from difflib import SequenceMatcher
# Create your views here.
from rest_framework import viewsets
from rest_framework.decorators import api_view
from rest_framework.response import Response
from finger.models import UserData
from finger.serializer import UserDataSerializer
import jso... | bityob/cookieless-monster-presentation | app/finger/views.py | views.py | py | 1,712 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "difflib.SequenceMatcher",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 18,
"usage_type": "name"
},
... |
20422554547 | from random import shuffle
from django.conf import settings
try: # python >=3.8
from importlib.metadata import version as get_version
except ModuleNotFoundError: # python < 3.8
from pkg_resources import get_distribution as get_version
_VERSION = get_version('django-infinite-scroll')
PAGINATION_STEPS = int(geta... | gsteixeira/django-infinite-scroll | infscroll/utils.py | utils.py | py | 2,955 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "pkg_resources.get_distribution",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.settings",
"line_number": 9,
"usage_type": "argument"
},
{
"api_name": "django.conf.settings",
"line_number": 10,
"usage_type": "argument"
},
{
"ap... |
25723533110 | import pandas as pd
from sklearn.preprocessing import LabelEncoder,StandardScaler
from sklearn.model_selection import KFold,cross_val_score,train_test_split
from sklearn.utils import shuffle
import xgboost as xgb
from sklearn.metrics import accuracy_score
kfold=KFold(n_splits=5)
data = pd.read_csv("otu.csv", d... | Kuroin/executable-finger | xgBoost.py | xgBoost.py | py | 1,708 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sklearn.model_selection.KFold",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 14,
"usage_type": "call"
},
{
"ap... |
13591520131 | import pygame, sys, random
from pygame.locals import *
# VARIÁVEIS
screen_width = 14 * 77
screen_height = 8 * 77
# Define a taxa de atualização
clock = pygame.time.Clock()
camera_y = 0
#mapa
mapa = []
tile={} # Usando dicionário
# Jogador
player_size = 50
player_x = screen_width // 2 - player_siz... | JudyFaria/Projeto_PratProg | Jogo_Pratica/main.py | main.py | py | 7,139 | python | pt | code | 0 | github-code | 7 | [
{
"api_name": "pygame.time.Clock",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.time",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "random.randint",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "pygame.draw.rect",
... |
14956326502 | # Fun in the Sun Challenge
from cmath import acos, pi
from numpy import dot, cross
from numpy.linalg import norm
from skyfield.api import load, wgs84
ts = load.timescale()
import os, sys
from time import sleep
from timeout import timeout, TimeoutError
time = int(os.getenv("TIMEOUT",90))
# Challenge Intro
def render_i... | cromulencellc/hackasat-qualifier-2022 | sunfun/challenge/challenge.py | challenge.py | py | 3,265 | python | en | code | 15 | github-code | 7 | [
{
"api_name": "skyfield.api.load.timescale",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "skyfield.api.load",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
24561679067 | """Test MosaicML API wrapper."""
import re
import pytest
from langchain_community.llms.mosaicml import PROMPT_FOR_GENERATION_FORMAT, MosaicML
def test_mosaicml_llm_call() -> None:
"""Test valid call to MosaicML."""
llm = MosaicML(model_kwargs={})
output = llm("Say foo:")
assert isinstance(output, st... | langchain-ai/langchain | libs/community/tests/integration_tests/llms/test_mosaicml.py | test_mosaicml.py | py | 2,739 | python | en | code | 68,990 | github-code | 7 | [
{
"api_name": "langchain_community.llms.mosaicml.MosaicML",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "langchain_community.llms.mosaicml.MosaicML",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "langchain_community.llms.mosaicml.MosaicML",
"line_numb... |
15781449131 |
import seaborn as sns
import numpy as np
from matplotlib import rc
import matplotlib as mpl
import matplotlib.pyplot as plt
# rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
# for Palatino and other serif fonts use:
sns.set_context(rc={'lines.markeredgewidth': 0.1})
sns.set_style("white", {'axes.grid'... | srydblom/srydblom-licthesis | scripts/style.py | style.py | py | 5,052 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "seaborn.set_context",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "seaborn.set_style",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "matplotlib.rc",
... |
14570865 | ''' This document is hosted on github and is the source for a Streamlit App.
The following code is broken into sections based on the user experience of the app. The sections
are as follows:
- Data Setup
- Section 1: Intro & Welcome Text
- Section 2: Dropdown pick lists and data filtering
- Section 3: Map Setup
- Secti... | ninaksweeney/flight_emissions | flight_emissions_app.py | flight_emissions_app.py | py | 16,199 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "streamlit.secrets",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "... |
24855381243 | import time
import cv2
SCREEN_REZ = (2560, 1440)
if __name__ == '__main__':
url = "https://ch-fra-n9.livespotting.com/vpu/ggazg0ll/taelb29k_1080.m3u8"
cap = cv2.VideoCapture(url)
cap.set(cv2.CAP_PROP_BUFFERSIZE, 100)
lastImage = cap.read()[1]
lastRead = time.perf_counter()
while True:
... | hellvetica42/JelsaWebcam | SingleCam.py | SingleCam.py | py | 624 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_BUFFERSIZE",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "time.perf_counter",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.pe... |
25801306298 | import csv
import tweepy
from textblob import TextBlob
import json
import pandas as pd
import re
with open('twitter_credentials.json') as cred_data:
info = json.load(cred_data)
consumer_key = info['CONSUMER_KEY']
consumer_secret = info['CONSUMER_SECRET']
access_key = info['ACCESS_KEY']
access_secre... | bha6kar/DataAnalyticsProject | twitter_scrubbing/twitter_analysis.py | twitter_analysis.py | py | 1,698 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tweepy.OAuthHandler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 3... |
8546721031 | from collections import deque
def solution(n, computers):
answer = 0
visit = [0 for i in range(n)]
def bfs(a):
queue = deque()
queue.append(a)
visit[a] = 1
while queue:
x = queue.popleft()
for i in range(n):
... | kimkihoon0515/CodingTest | 프로그래머스/lv3/43162. 네트워크/네트워크.py | 네트워크.py | py | 553 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "collections.deque",
"line_number": 9,
"usage_type": "call"
}
] |
24173619573 | import sys
from PyQt5.QtWidgets import QApplication, QMainWindow, QDialog, QPushButton
from PyQt5.QtCore import QObject, Qt, pyqtSignal
# cls stand for class here.
class MySignal(QObject):
"""
信号类
"""
instance = None
signal = pyqtSignal()
@classmethod
def my_signal(cls):
if cls.ins... | judeqshan/pythontest | pyq_test/mul_share_sig.py | mul_share_sig.py | py | 1,858 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "PyQt5.QtCore.QObject",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 25,
"usage_type": "name"
},
{
"api_name"... |
15179211838 | from secrets import Secrets
import json
import requests
import jinja2
import re
class WPT:
secrets = None
wp_key = None
wp_site = None
wp_oauth_header = None
wp_template_title = None
wp_template_body = None
template_vars = None
post_response = None
oauth_url = "https://public-a... | KabitTarah/wordpress_templates | wpt.py | wpt.py | py | 6,246 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "secrets.Secrets",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_num... |
37448196550 | import threading
import time
import shutil
from itertools import groupby
from multiprocessing import Pool,cpu_count
import numpy as np
import face_recognition
import subprocess
from flask import Flask, request, redirect, jsonify
from PIL import Image
from flask_cors import CORS, cross_origin
import math
import os
impor... | xordex28/facialProyect | facial.py | facial.py | py | 13,514 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_... |
41689358203 | import cv2
from PIL import Image
from detectron2.utils.visualizer import Visualizer
from detectron2.data import MetadataCatalog
from detectron2.config import get_cfg
from detectron2.utils.visualizer import ColorMode
from detectron2.engine import DefaultPredictor
from d2detector.config import add_d2test_config
from dete... | vnk8071/detectron2-object-detection | inference.py | inference.py | py | 7,167 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "detectron2.config.get_cfg",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "d2detector.config.add_d2test_config",
"line_number": 48,
"usage_type": "call"
},
{
... |
27769259189 | from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.api_lib.privateca import base
from googlecloudsdk.api_lib.privateca import constants as api_constants
from googlecloudsdk.api_lib.privateca import locations
from googlecloudsdk.calliope im... | twistedpair/google-cloud-sdk | google-cloud-sdk/lib/googlecloudsdk/command_lib/privateca/resource_args.py | resource_args.py | py | 16,245 | python | en | code | 55 | github-code | 7 | [
{
"api_name": "googlecloudsdk.calliope.concepts.deps.PropertyFallthrough",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "googlecloudsdk.calliope.concepts.deps",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "googlecloudsdk.core.properties.VALUES",
"line... |
39022441040 | import timm
import torch
import torch.nn as nn
from src import register
from src.typing import TensorDict
__all__ = ['PoseNet']
@register('pose')
class PoseNet(nn.Module):
"""Relative pose prediction network.
From SfM-Learner (https://arxiv.org/abs/1704.07813)
This network predicts the relative pose be... | jspenmar/monodepth_benchmark | src/networks/pose.py | pose.py | py | 2,733 | python | en | code | 83 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "timm.create_model",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "torch.nn.Sequential",... |
23148326023 | #!/usr/bin/env python
# Converts an image (png, jpeg, ....) to FabGL Bitmap structure
#
# usage:
# python img2bitmap.py filename [-t x y] [-s width height] [-d] [-f0 | -f1 | -f2] [-o0 | -o1]
#
# -t = pixel where to take transparent color
# -s = resize to specified values
# -d = enable dithering
# -f0 = format is... | fdivitto/FabGL | tools/img2bitmap/img2bitmap.py | img2bitmap.py | py | 4,495 | python | en | code | 1,255 | github-code | 7 | [
{
"api_name": "sys.argv",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 61,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 62... |
18299515088 | import ipaddress
import json
from .CloudRanges import CloudRanges
# https://www.cloudflare.com/ips/
class CloudFlare(CloudRanges):
def download(self, fp):
self._cache = {}
for v in ('v4', 'v6'):
url = 'https://www.cloudflare.com/ips-{}'.format(v)
self._logger.info('Download... | dlenski/what-cloud | what_cloud/cloudflare.py | cloudflare.py | py | 1,184 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "CloudRanges.CloudRanges",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "json.dump",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "ipaddress.IPv4Network",
... |
12654073961 | import enum
from src.common.SimulationClock import *
from src.common.UniqueID import UniqueID
class TaskStatus(enum.Enum):
SUBMITTED = 1
BEING_PROCESSED = 2
SOLVED = 3
PROCESSING_FAILED = 4
TASK_TIMED_OUT = 5
FAILED_TO_FIND_SOLVER = 6
class Task:
def __init__(self, vehicle=None, solver=... | AdamPetik/bc-autonomous-cars | NFTAutonomousVehicles/taskProcessing/Task.py | Task.py | py | 1,764 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "enum.Enum",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "src.common.UniqueID.UniqueID",
"line_number": 23,
"usage_type": "call"
}
] |
40619219803 | from functions import *
from create_raw_data import *
from performance_metrics import *
import sklearn.preprocessing
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn import svm
from sklearn.model_selection import GridSearchCV,PredefinedSplit
#from sklearn.grid_se... | alexadal/FYS-STK-4155-Project3 | test_svr.py | test_svr.py | py | 2,590 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.environ",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.seed",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate... |
17581459933 | import addons
from arambadge import badge
from eeprom import EEPROM
from eepromvfs import mount_eeprom
import os
import storage
import struct
import supervisor
# Floppy Add-on data binary format:
#
# Offset Size Description
# ------ ---- -----------
# 0 byte Flags. Reserved and must be 0
# 1 byt... | aramcon-badge/aramcon-firmware | drivers/floppy.py | floppy.py | py | 3,209 | python | en | code | 8 | github-code | 7 | [
{
"api_name": "struct.pack",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "struct.pack",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.stat",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.stat",
"line_number": 38,
... |
11421540016 | import uuid
import html2text
from pyspark.sql.types import *
from azure.ai.textanalytics import TextAnalyticsClient
from azure.core.credentials import AzureKeyCredential
"""
The following section of code will have to be removed when integrated as a notebook in Synapse analytics, because
the parameters will be passe... | microsoftgraph/dataconnect-solutions | solutions/conversation-lineage/conversations_text_analytics/src/interactions_sentiment_and_entities_retriever.py | interactions_sentiment_and_entities_retriever.py | py | 13,707 | python | en | code | 38 | github-code | 7 | [
{
"api_name": "azure.ai.textanalytics.TextAnalyticsClient",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "azure.core.credentials.AzureKeyCredential",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "html2text.HTML2Text",
"line_number": 91,
"usage_type... |
7510180641 | import asyncio
import Intcode
import Tiles
if __name__ == '__main__':
with open('input', 'r') as f:
ASCII = [int(x) for x in f.read().strip().split(',')]
comp = Intcode.Intcode()
comp.memory = ASCII
comp.increase_memory(10)
loop = asyncio.get_event_loop()
loop.run_until_complete(comp.ru... | simonsandell/advent-of-code-2019 | 17/1.py | 1.py | py | 485 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "Intcode.Intcode",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "asyncio.get_event_loop",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Tiles.Tiles",
"line_number": 14,
"usage_type": "call"
}
] |
11245447297 | #!/usr/bin/env python
# Andrew Lytle
# March 2015
import os
import re
import subprocess
import sys
from itertools import product
from multiprocessing import Pool
from time import time
import numpy as np
REGEX = re.compile('correlator_key:') # Pattern signaling end of header.
#T = 48
def sort_argv(argv):
"Sort... | atlytle/build-from-tar | extract_milc_corrs.py | extract_milc_corrs.py | py | 3,502 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"line_numb... |
19375046878 | #############################################################################
# zlib License
#
# (C) 2023 Cristóvão Beirão da Cruz e Silva <cbeiraod@cern.ch>
#
# This software is provided 'as-is', without any express or implied
# warranty. In no event will the authors be held liable for any damages
# arising from the ... | cbeiraod/ETROC-Analysis-Scripts | reprocess_etroc1_charge_injection_data_dir.py | reprocess_etroc1_charge_injection_data_dir.py | py | 7,020 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "lip_pps_run_manager.RunManager",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "logging.Logger",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "... |
403033769 | # *************** HOMEWORK 3 ***************
# GOOD LUCK!
# ************************ QUESTION 1 **************************
import collections
def sudoku_is_legal(board):
"""
defaultdict means that if a key is not found in the dictionary,
then instead of a KeyError being thrown, a new entry is created.
... | OrSimhon/Python-course-cs-BGU | HW_3_Strings_Dictionaries/Q1.py | Q1.py | py | 3,395 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "collections.defaultdict",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 22,
"usage_type": "call"
}
] |
26315798477 | #!/usr/bin/python3
import random, argparse, string, sys
class shuf:
# Initialize with infile, echo, and input_range
# Constructor should create a string with words to be shuffled
def __init__(self, infile, echo, input_range):
self.lines=[]
if infile and infile != "-":
for line ... | EvanYZhao/CS35L | assignment2/shuf.py | shuf.py | py | 3,157 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "random.choice",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
... |
37259385447 | # -*- coding:utf-8 -*-
import jieba # 导入jieba模块
import pymysql
import re
jieba.load_userdict("my_words_dict.txt") # 加载自定义词典
from_connect = pymysql.connect(host='localhost', port=3306, user='root', password='echo', db='tbs_data', charset='utf8')
from_cursor = from_connect.cursor()
to_connect = pymysql.connect(host=... | My-captain/Foodrink | 去停用词/cut_stop_words.py | cut_stop_words.py | py | 3,230 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "jieba.load_userdict",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "jieba.enable_parall... |
33978279464 | from flask import Flask, jsonify, request
import sqlite3
app = Flask(__name__)
@app.route('/', methods=['GET'])
def index():
db = sqlite3.connect('posts.db')
cursor = db.cursor()
# cursor.execute('CREATE TABLE products(id: INTEGER PRIMARY KEY, item: TEXT NOT NULL, price: TEXT NOT NULL)')
cursor.e... | Qay-Tekkie/Flask-Api-project | api-sql/sqlquery.py | sqlquery.py | py | 1,497 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_n... |
4514841341 | from typing import List
import pymongo
from datetime import datetime
from bson import ObjectId
from pymongo.collection import Collection
from app.controllers import db_controllers
from app.helpers.excepitons import NotFoundError
from app.models.activity_models import ActivityInfo, ActivityUserDB
from app.settings impo... | nuruddinsayeed/sports_monitor | app/Activity/activity_db.py | activity_db.py | py | 3,475 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "app.settings.mongo_conf.get_nosql_client",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "app.settings.mongo_conf",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "app.settings.configs.SETTINGS.spm_mongo_db_name",
"line_number": 17,
"us... |
72046342622 | # -*- coding: utf-8 -*-
import datetime
import json
import logging
import time
import requests
from requests import ReadTimeout
from odoo import api, fields, models
from odoo.exceptions import UserError
_logger = logging.getLogger(__name__)
class DinDinCalendarEvent(models.Model):
_inherit = 'calendar.event'
... | LuoChao-aleo/odoo-DingDing | dindin_calendar/models/calendar.py | calendar.py | py | 3,920 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "odoo.models.Model",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Char... |
30772138463 | import pandas as pd
import xgboost as xgb
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import train_test_split
FEATURE = ['MinTemp', 'MaxTemp', 'Rainfall', 'WindGustDir', 'WindGustSpeed',
'WindDir9am', 'WindDir3pm', 'WindSpeed9am', 'WindSpeed3pm',
'Humidity9am',... | trannam710/Rain-in-Australia | Phát triển mô hình/DEMO/model.py | model.py | py | 3,138 | python | en | code | 0 | github-code | 7 | [
{
"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": "xgboost.XGBClassifier",
"line_number": 39,
"usage_type": "call"
},
{
"ap... |
24995689047 | from sklearn.preprocessing import PolynomialFeatures
from sklearn.pipeline import make_pipeline
from sklearn.linear_model import LinearRegression
import matplotlib.pyplot as plt
import numpy as np
# xSRP = [873.15, 973.15, 1073.15]
# ySRP = [7.89, 17.10, 21.70]
x = [873.15, 973.15, 1073.15]
y = [7.89, 17.10, 21.70]
... | jbchemE/RxnEng | test.py | test.py | py | 920 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sklearn.preprocessing.PolynomialFeatures",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 28,
"usage_type"... |
8189082744 | from pytube import YouTube
def Download(link):
youtubeObject = YouTube(link)
youtubeObject = youtubeObject.streams.get_highest_resolution()
try:
youtubeObject.download()
except:
print("An error has occurred")
print("Download is completed successfully and thank you for downl... | Ankitrj3/PYTHON | youtubevideodownloader.py | youtubevideodownloader.py | py | 415 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pytube.YouTube",
"line_number": 4,
"usage_type": "call"
}
] |
31680548779 | import numpy as np
from ipywidgets import interact, interactive, fixed
from IPython.display import display, Math
from matplotlib.pyplot import subplots, show
from .lib.lens import Lens
import numpy as np
def ir_range_sensor_demo1_plot(r=50, d=20, f=10, rays=False):
X = 50
Hl = 15
Ht = 20
x0 = X
... | mph-/dsp-notebooks | intro/demos/ir_range_sensor_demo1.py | ir_range_sensor_demo1.py | py | 1,601 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "lib.lens.Lens",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "lib.lens.Lens",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "IPython.displa... |
29319683668 | import logging
import os
WORKING_DIRECTORY = os.path.dirname(os.path.realpath(__file__))
log_filename = "sreality.log"
log_filename = os.path.join(WORKING_DIRECTORY, log_filename)
logging.basicConfig(
filename=log_filename,
level=logging.INFO,
format="%(asctime)s %(levelname)s %(message)s",
)... | grdddj/My-codebase | Python/Real estate checker/logger.py | logger.py | py | 501 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_n... |
37343515255 | from __future__ import print_function
import pickle
import numpy as np
from scipy.optimize import curve_fit
# Reference each pick to a station index
def getPickStaIdxs(pickSet,staNames):
pickStas,pickIdx=np.unique(pickSet[:,0],return_inverse=True)
pickStaIdxs=np.ones(len(pickIdx),dtype=int)*-1
for pos in ... | AndrewReynen/Lazylyst | lazylyst/Plugins/GlobalLocate.py | GlobalLocate.py | py | 8,158 | python | en | code | 16 | github-code | 7 | [
{
"api_name": "numpy.unique",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": ... |
43264261684 | from spsdk.image.images import BootImgRT
def test_parse_xmcd(data_dir):
with open(f"{data_dir}/evkmimxrt1170_xmcd.bin", "rb") as f:
data = f.read()
image = BootImgRT.parse(data)
assert image.xmcd
assert "XMCD" in image.info()
def test_parse_no_xmcd(data_dir):
with open(f"{data_dir}/iled_... | kaposh/spsdk | tests/image/segments/test_xmcd.py | test_xmcd.py | py | 479 | python | en | code | null | github-code | 7 | [
{
"api_name": "spsdk.image.images.BootImgRT.parse",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "spsdk.image.images.BootImgRT",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "spsdk.image.images.BootImgRT.parse",
"line_number": 15,
"usage_type": "call... |
41745272489 | #coding=utf-8
import numpy as np
from basic_classify_by_app import *
from sklearn.feature_extraction.text import CountVectorizer
import lda
import matplotlib.pyplot as plt
import seaborn as sns
def get_lda_input(chapters):
corpus = [" ".join(word_list) for word_list in chapters]
vectorizer = CountVectorizer()
... | little-Icey/ThemeClassification | code/lda_topic_classify_by_app.py | lda_topic_classify_by_app.py | py | 1,360 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "lda.LDA",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "n... |
31771503001 | import json
import requests
import argparse
parser = argparse.ArgumentParser(description='Disables or Enables specific pool under CloudFlare Load Balancer')
parser.add_argument('--pool', required=True, help='name of the pool to be updated')
parser.add_argument('--lbname', required=True, help='name of the load balancer... | jbbriel/cloudflare-py | src/cloudflare.py | cloudflare.py | py | 2,879 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.put",
"li... |
19493132500 | #!/usr/bin/env python2.7
# -*- coding: UTF-8 -*-
from aip import AipImageSearch
from aip import AipOcr
import requests
import json
import sys
import base64
# from urllib.parse import quote
requests.packages.urllib3.disable_warnings()
IMG_APP_ID = '21552210'
IMG_API_KEY = 'dHqG78qSi8HRdEQMwGipXlLS'
IMG_SECRET_KEY = 'X9... | 1993gc/wx-helper | baidu.py | baidu.py | py | 1,405 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.packages",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "aip.AipImageSearch",
"line_number": 20,
"usage_type": "call"
},
{
... |
17314765173 | import os
from apscheduler.jobstores.sqlalchemy import SQLAlchemyJobStore
basedir = os.path.abspath(os.path.dirname(__file__))
HEROKU_URI = 'postgres://iwcxypoullcotd:344b3734ff9c793c50bceeb5314efa108e80e4675c7081f53dab5f6c04907c5a@ec2-184-73-189-190.compute-1.amazonaws.com:5432/dfq6o8fr8mc2bb'
HEROKU_DEV_URI = 'post... | Guardia-Dev/Cucumis | config.py | config.py | py | 1,744 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "os.path.abspath",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_... |
5393172067 | import logging
from functools import wraps
from typing import Any, Callable, List, Optional, Sequence
from ..data.data_utils import TensorWrapper
logger = logging.getLogger(__name__)
def set_hook(f: Callable[[Any], Any]) -> Callable[[Any], Any]:
"""Sets the status of the attribution model associated to the func... | inseq-team/inseq | inseq/attr/attribution_decorators.py | attribution_decorators.py | py | 2,588 | python | en | code | 223 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "typing.Callable",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "functools.wraps",
"li... |
11598251646 | import numpy as np
import os
import yaml
import networkx as nx
from shutil import copyfile
# url = 'https://github.com/numpy/numpy/blob/master/numpy/random/mtrand.pyx#L778'
# a threshold for floating point arithmetic error handling
accuracy = np.sqrt(np.finfo(np.float64).eps)
def normalize_scheduling_probabilities(i... | farzad1132/GSC | common/common_functionalities.py | common_functionalities.py | py | 4,492 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.sqrt",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.finfo",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number... |
43041365744 | from tqdm import tqdm
from typing import Tuple, List, Optional, Union, Callable, ClassVar, Dict
import pandas as pd
import json
from collections import defaultdict
from dataclasses import dataclass, field
from pprint import pprint
from snscrape.modules import twitter
from datetime import date
from copy import deepcopy
... | bobgroks/twitterisbitter | fun.py | fun.py | py | 9,981 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "snscrape.modules.twitter.Tweet",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "snscrape.modules.twitter",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 19,
"usage_type": "name"
},
{
"api_name... |
34660823927 | import numpy as np
import itertools
from jiwer import wer
from scipy.io import wavfile
from IPython import display
import matplotlib.pyplot as plt
import numpy as np
def chr_mapping():
character_map = {' ': 0, 'a': 1, 'b': 2, 'c': 3, 'd': 4, 'e': 5, 'f': 6, 'g': 7, 'h': 8, 'i': 9, 'j': 10,
'k': 11,... | parkerhuynh/DeepSpeech2 | utils.py | utils.py | py | 3,598 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.argmax",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "itertools.groupby",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "jiwer.wer",
"line_numb... |
6743339557 | import re
import urllib.request
import sys
import time
import datetime
#function to import strings into a log
def redirect_to_file(text):
original = sys.stdout
sys.stdout = open('log.txt','a')
print(text)
sys.stdout = original
#function to stamp time for logging
def timestamper():
ts = time.time()
timesta... | 13oldb/pythonCrawlers | mycoins/mycoins.py | mycoins.py | py | 5,518 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sys.stdout",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_... |
36078919298 | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 16 23:59:36 2020
@author: Mayur Vishwasrao
"""
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score,confusion_m... | MayurV6/Fake-News | fakenews.py | fakenews.py | py | 4,291 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "nltk.stem.porter.PorterStemmer",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "re.sub",... |
72898646944 | import cv2 as cv
import os
import imutils
modelo = 'FotosElon'
ruta1 = '/Users/davidlopez/PycharmProjects/Curso_deteccion_objetos/reconocimiento_contornos/reconocimientofacial1'
rutacompleta = ruta1 + '/' + modelo
if not os.path.exists(rutacompleta):
os.makedirs(rutacompleta)
ruidos = cv.CascadeClassifier('/User... | ujaque/reconcimiento_caras | capaentrada.py | capaentrada.py | py | 1,415 | python | es | code | 0 | github-code | 7 | [
{
"api_name": "os.path.exists",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"li... |
36690544598 | # -*- coding: utf-8 -*-
import random
from datetime import datetime
from django.core.management.base import BaseCommand
from transport_routes.models import (
Route, Transport
)
from stilsoft_test import constants
class Command(BaseCommand):
def handle(self, *args, **options):
route_objects = Route.o... | SuperLalka/stilsoft-test | transport_routes/management/commands/fill_db.py | fill_db.py | py | 1,469 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "transport_routes.models.Route.objects.count",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "transport_routes.models.Route.objects",
"line_number": 15... |
38823273440 | # -*- coding: utf-8 -*-
# @Time : 2021/12/23 11:09
# @Author : JingYang
# @File : test_SetMeterTariff.py
import datetime
import time
import requests
from common.marker import *
class Test_Set_Meter_Tariff:
@asyncTest
def test_SetMeterTariff(self, requestMessage, dbConnect,device, caseData):
"""使用异步... | NeonJ/hes-auto-test | testCase/HESIntegration/Tariff/test_set_meter_tariff.py | test_set_meter_tariff.py | py | 2,626 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "datetime.datetime.now",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "da... |
72955632224 | import sqlite3
import os
import logging
import struct
#-------------------------------------------------------------------------------
# Creating a logging with timestamp and regex
#-------------------------------------------------------------------------------
logging_str = "[%(asctime)s: %(levelname)s: %(module)... | SiddharthaShandilya/Dementia_detection_using_AI | src/utils/databse.py | databse.py | py | 3,152 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "os.makedirs",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
38427461513 | import torch
import torch.nn as nn
import torch.nn.functional as F
from collections import OrderedDict
class TemplateBank(nn.Module):
def __init__(self, num_templates, output_channels, kernel_size):
super(TemplateBank,self).__init__()
self.num_templates = num_templates
templates = [torch.T... | smonsays/contrastive-meta-learning | fewshot/model.py | model.py | py | 7,277 | python | en | code | 9 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn.Parameter",
"li... |
18430275840 | # -*- coding: utf-8 -*-
from rqalpha import run_file
from datetime import datetime
import os
import sys, getopt
start = "2007-01-01"
end = datetime.now().strftime("%Y-%m-%d")
stocklist_path = ""
opts, args = getopt.getopt(sys.argv[1:], "s:e:f:")
for op, value in opts:
if op == "-s":
start = value
elif op == ... | wanhanwan/FactorLib | scripts/strategy_bttest_templates/run.py | run.py | py | 968 | python | en | code | 6 | github-code | 7 | [
{
"api_name": "datetime.datetime.now",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "getopt.getopt",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"l... |
72349254943 | import sys
import json
import re
import datetime
import github
from github import Github
from common.Instance import get_github_token, get_github_repo, Instance
"""
TODO!
"""
def usage():
print("python collect_milestones.py ")
print(" TODO")
def do_the_thing(instance, simple=False):
... | zadjii/github-analytics | collect_milestones.py | collect_milestones.py | py | 5,777 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "github.Github",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "common.Instance.get_github_token",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "common.Instance.get_github_repo",
"line_number": 23,
"usage_type": "call"
},
{
"ap... |
71140380385 | import re
import math
from datetime import datetime
from random import randint, random
from unittest import TestCase
from enum import IntEnum
from functools import partial
__author__ = 'hisehyin'
__datetime__ = '15/12/25 上午10:50'
OPTION_SIGN = {0: '+', 1: '-', 2: '*', 3: '/'}
OPTION_PRINT = {'+': ' + ', '-': ' - ',... | hiseh/yinanan | app/kousuan.py | kousuan.py | py | 7,414 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "math.modf",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "math.modf",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 39... |
15709418994 | from lib.GImage import GImage, Anchors, Algin, ImageAnchors
from PIL import Image, ImageFont, ImageDraw
def _get_rounded_rectangle(size: tuple[int, int], radius: float, color: tuple[int, int, int, int]):
base = Image.new(mode="RGBA", size=size)
box = ImageDraw.Draw(base)
box.rounded_rectangle(
xy=... | nikawamikan/sky_profile_generator | api/lib/profile_generator.py | profile_generator.py | py | 1,675 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "PIL.Image.new",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"line_num... |
5081635190 | # from lxml import etree
# import requests
#
# url = 'http://tieba.baidu.com/f?ie=utf-8&kw=%E7%A7%91%E6%8A%80&fr=search&red_tag=s1890224318'
# html = requests.get(url).text
# print(html)
# pare = etree.HTML(html).xpath('//div[@class="search_main_wrap"]/h3/a/@href')
# # print(pare)
#-*- coding: UTF-8 -*-
from lxml ... | hehewzq0131/test-py | autoSendEmail-master/autoSendEmail-master/test_case/Test_etree.py | Test_etree.py | py | 1,046 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "lxml.etree.HTML",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 25,
"usage_type": "name"
}
] |
37046740946 | from urllib.parse import urlparse
from django.conf import settings
from django.contrib import admin, messages
from django.utils.translation import ngettext
from import_export import resources
from import_export.admin import ImportExportActionModelAdmin
from phonebank.models import Agent, TelnyxCredential, Room, Voter... | daradib/boran | phonebank/admin.py | admin.py | py | 3,965 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "import_export.resources.ModelResource",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "import_export.resources",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "phonebank.models.Agent",
"line_number": 15,
"usage_type": "name"
},
... |
11503824580 | import aes
import base64
import cbc_mac
import os
import util
m = "alert('MZA who was that?');\n"
k = "YELLOW SUBMARINE"
iv = '\0'*16
tag = cbc_mac.cbc_mac_tag(m, k, iv)
assert(tag.encode('hex') == "296b8d7cb78a243dda4d0a61d33bbdd1")
target = "alert('Ayo, the Wu is back!');"
def collide_hash(target):
# Put comment... | AdrS/cryptopals | p50.py | p50.py | py | 913 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cbc_mac.cbc_mac_tag",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.urandom",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cbc_mac.cbc_mac_tag",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "aes.add_pkcs7_padd... |
37018019872 | from pathlib import Path
import solara
from solara.alias import rv
from solara.components.title import Title
from solara.routing import route_level_context
from ..components import Header, Hero
directory = Path(__file__).parent
# md file
md = open(directory / "README.md").read()
title = "Home"
route_order = ["/",... | civvic/solara | solara/website/pages/__init__.py | __init__.py | py | 9,878 | python | en | code | null | github-code | 7 | [
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "solara.GridFixed",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "solara.Markdown",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "solara.component",
... |
17393173236 | from .planner import Planner, save_model
import torch
import torch.optim as optim
import torch.utils.tensorboard as tb
import numpy as np
from .utils import load_data
from . import dense_transforms
def train(args):
from os import path
# Initialize the model
model = Planner()
optimizer = optim.Adam(mod... | abmueller2000/DeepLhomework5 | homework/train.py | train.py | py | 2,193 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "planner.Planner",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.optim.Adam",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.optim",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.MSELoss",
"... |
75129087583 | from django.shortcuts import render, redirect
from django.http import HttpResponse
#Import Category model
from rango.models import Category, Page, UserProfile
from rango.forms import CategoryForm, PageForm, UserForm, UserProfileForm
from django.contrib.auth import authenticate, login, logout
from django.http import ... | JamesSab1/rango_project_play | tang_with_django_project/rango/views.py | views.py | py | 11,319 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "rango.models.Category.objects.order_by",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "rango.models.Category.objects",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "rango.models.Category",
"line_number": 24,
"usage_type": "name"... |
73652893342 | from enum import Enum
class Station(Enum):
"""
Station ids ranged as below;
- 1 xx xxx - CUrW (stationId: curw_<SOMETHING>)
- 2 xx xxx - Megapolis (stationId: megapolis_<SOMETHING>)
- 3 xx xxx - Government (stationId: gov_<SOMETHING>. May follow as gov_irr_<SOMETHING>)
- 4 xx xxx - Public (st... | gihankarunarathne/CurwMySQLAdapter | curwmysqladapter/station.py | station.py | py | 2,229 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "enum.Enum",
"line_number": 4,
"usage_type": "name"
}
] |
31410362579 | """
math_object Provides helper functions for pulling the LaTeX show_template_manager from the equations database
update method: https://stackoverflow.com/questions/34774409/build-a-dynamic-update-query-in-psycopg2
https://www.psycopg.org/docs/sql.html#
Type Hinting Tuple: https://stackoverflow.com/questions/47533787/... | wdeshazer/equation_database | math_object.py | math_object.py | py | 19,735 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "psycopg2.sql.SQL",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "psycopg2.sql.Identifier",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "config.config",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "psycopg2.conne... |
72867732382 | import torch.nn as nn
import torch.nn.functional as F
import torch
if torch.__version__ >= "1.8":
import torch_npu
from torch.autograd import Variable
from collections import OrderedDict
from torchvision.models.resnet import resnet18, resnet34, resnet50
import apex
import torch.npu
import os
import torch.npu
impor... | Ascend/ModelZoo-PyTorch | PyTorch/dev/cv/detection/SSD-ResNet34_ID0411_for_PyTorch/base_model.py | base_model.py | py | 7,666 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "torch.__version__",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.npu.current_device",
... |
41220208850 |
# coding: utf-8
import requests
from config import data
import argparse
def sendSubmission(answerfile, name='answer.csv', desc=''):
files={'files': open(answerfile,'rb')}
data["filename"] = name
data["description"] = desc
url = 'https://biendata.com/competition/kdd_2018_submit/'
response = re... | csielee/dsai2018_midterm | api_submit.py | api_submit.py | py | 963 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "config.data",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "config.data",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "requests.post",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "config.data",
"line_number"... |
70272485344 | __author__ = 'sbouhman'
import logging
from tests_framework.ui_building_blocks.KSTB.dvrbooking import DVRBooking
def test_01_tuner_conflict():
num_of_tuner = 4
test = DVRBooking("test_tuner_conflict")
test.ve_test.begin(screen=test.ve_test.screens.fullscreen)
test.ve_test.screens.playback.dca(1,time... | anshsaikia/GSSDeliverables-YesProject | VE-Tests/tests/KSTB/android/e2e_tests/test_tuner_conflict.py | test_tuner_conflict.py | py | 1,459 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "tests_framework.ui_building_blocks.KSTB.dvrbooking.DVRBooking",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 19,
"usage_type": "call"
},
... |
32978605525 | from flask import Flask, render_template, redirect, url_for, request, session, flash, send_file
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.exc import IntegrityError
import re
import mysql.connector
# from flask_login import current_user
from flask_login import login_user
from flask_login import current_use... | Dr-savant21/AchievoDash | index.py | index.py | py | 57,391 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector.connect",
"line_number": 22,
"usage_type": "call"
},
{
"api_nam... |
22021845540 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
import os
import time
from adc_dac_bram import AdcDacBram
from koheron import connect
import matplotlib
matplotlib.use('TKAgg')
from matplotlib import pyplot as plt
from matplotlib.lines import Line2D
host = os.getenv('HOST', '192.168.1.113')
client = ... | Koheron/koheron-sdk | examples/alpha15/adc-dac-bram/test_clkout_dec.py | test_clkout_dec.py | py | 2,206 | python | en | code | 91 | github-code | 7 | [
{
"api_name": "matplotlib.use",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "koheron.connect",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "adc_dac_bram.AdcDacBram",
... |
74165408224 | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 12 20:28:17 2018
@author: Alexandre
"""
###############################################################################
import numpy as np
###############################################################################
from pyro.dynamic import cartpole
from pyro.control... | alx87grd/AlexRobotics | examples/by_systems/cartpole/cartpole_with_rrt_and_computed_torque.py | cartpole_with_rrt_and_computed_torque.py | py | 1,893 | python | en | code | 15 | github-code | 7 | [
{
"api_name": "pyro.dynamic.cartpole.RotatingCartPole",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pyro.dynamic.cartpole",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_name... |
26043260979 | from optparse import make_option
from django.core.management.base import BaseCommand
from common.utils import replace_media_urls
class Command(BaseCommand):
option_list = BaseCommand.option_list + (
make_option('--old-path', '-o',
dest='oldpath',
default='st... | modamania/otdohni | apps/common/management/commands/replace_media_urls.py | replace_media_urls.py | py | 1,009 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.core.management.base.BaseCommand.option_list",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.core.management.base.BaseCommand",
"lin... |
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