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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
26251368717 | import time
import os
import logging
from urllib.parse import urlparse
from urllib.request import urlretrieve
import threading
import PIL
from PIL import Image
"""specifying format to see the log messages to include -
threadname, current times, logging level and the message"""
FORMAT = "[%(threadName)s, %(asctime)s, ... | shantanusharma95/LearningPython | ParallelProgramming/MultipleThread/thumbnail_maker.py | thumbnail_maker.py | py | 4,926 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"li... |
40095752231 | from django.urls import path
from pydantic import ValidationError as PydanticValidationError
from rest_framework import status
from rest_framework.decorators import api_view
from rest_framework.request import Request
from rest_framework.response import Response
from api.validations.requests import ConfigRequest
from o... | Aldebrand/xchange | api/endpoints/config.py | config.py | py | 1,462 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "rest_framework.request.Request",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "api.validations.requests.ConfigRequest",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "rest_framework.response.Response",
"line_number": 21,
"usage_type":... |
31013924945 | from setuptools import setup, find_packages
with open('requirements.txt') as f:
required = f.read().splitlines()
setup(
name='nine_relay_linux_python',
version='0.1.1',
packages=find_packages(),
install_requires=required,
author='Bluewhitep',
author_email='20318684+bluewhitep@users.nor... | bluewhitep/nine_relay_linux_python | setup.py | setup.py | py | 789 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 9,
"usage_type": "call"
}
] |
41389448624 | from django.urls import path, include
from . import views
urlpatterns = [
path("diary/", views.Rate.as_view(), name='rate'),
path("school/", views.SchoolApi.as_view(), name="SchoolAll"),
path("school/<int:pk>/", views.SchoolDetailApi.as_view(), name="SchoolDetail"),
path('school/<int:pk>/team/', views.... | semenInRussia/DistanceLerning | DistanceLerning/main/urls.py | urls.py | py | 594 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
10838989507 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import localgraphclustering.ncp
def _ncp_min(grp, feature):
if len(grp[feature]) > 0:
minj = grp[feature].idxmin()
result = grp.loc[minj]
result["best"] = minj
return result
def ncp_min_feature_by_g... | RevoData/LocalGraphClustering | localgraphclustering/ncpplots.py | ncpplots.py | py | 5,217 | python | en | code | null | github-code | 18 | [
{
"api_name": "numpy.float64",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.log10",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.power",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.histogram",
"lin... |
75279234919 | import datetime
from zope import interface
from zope import schema
from zope import component
from z3c.form import button
from plone.app.event.portlets import portlet_calendar
from plone.app.event import messageFactory as _pae
from plone.app.event.browser.event_listing import EventListing
from plone.z3cform.layout im... | collective/collective.rcse | collective/rcse/page/controller/events_view.py | events_view.py | py | 4,329 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "collective.rcse.page.controller.group_base.BaseAddFormSchema",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "collective.rcse.page.controller.group_base",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "zope.schema.TextLine",
"line_num... |
9990808221 | import os
os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
os.environ["CUDA_VISIBLE_DEVICES"]="0"
import numpy as np
import gc
import tensorflow as tf
from tensorflow.keras import backend as K
from sklearn.preprocessing import LabelBinarizer
from sklearn.metrics import balanced_accuracy_score, f1_score
from pathlib import Pat... | cmusmashlab/SAMoSA | Code/2. Generate Predictions/Sound/lopo.py | lopo.py | py | 6,787 | python | en | code | 9 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "random.seed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"li... |
74698560999 | import boto3
from decimal import Decimal
import json
import urllib.request
import urllib.parse
import urllib.error
import base64
from contextlib import closing
from botocore.exceptions import BotoCoreError, ClientError
import tempfile
'''
Fraser S
Notes: Very Crud version.
'''
rekognition = boto3.client('rekognit... | Fraser27/rekognition-polly-s3 | rekognition_polly_s3.py | rekognition_polly_s3.py | py | 6,123 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "boto3.client",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "contextlib.closing",
"line... |
10781880728 | from PyQt5 import QtGui, QtWidgets
from driver import mistic
from coreRegion import core_analysis
import sys
import design
import os
class ExampleApp(QtWidgets.QMainWindow, design.Ui_MainWindow):
InputFile = ""
OutputFile = ""
NeighborFile = ""
areaOfInt = ""
spUnits = ""
timeUnits = ""
... | amangoyal097/MiSTIC | old_files/main.py | main.py | py | 8,845 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "design.Ui_MainWindow",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_na... |
72670487399 | import os
import torch
from scipy import signal
from torch.utils.data import Dataset
class EEGDataset(Dataset):
"""Fast EEGDataset (fetching prepared data and labels from files)"""
def __init__(self, augment=True) -> None:
data_file = f'data_Dinh_fs200.pt'
labels_file = f'labels_Dinh_fs200.pt'... | ding9858/Self_Supervised_Learning_on_EEG | Dataset_train.py | Dataset_train.py | py | 1,871 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
11710164835 | # -*- coding:Utf-8 -*-
"""
gérer les _
si le nom du fichier commence et fini par ", on retire les "
"""
from media import *
from media_helpers import *
import logging
import urllib
import urllib2
def parse_season_episode_string(str_):
"""Transform a string with season and episode number into a tuple (season_num... | playest/castnamer | imdb_browser.py | imdb_browser.py | py | 6,237 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.debug",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "media.get_key",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "media.type_",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "media.get_normalized_typ... |
75107785000 | import time
import datetime
import math
from django.core.management import BaseCommand
from chemical.models import *
class Command(BaseCommand):
def handle(self, *args, **options):
chemicals = Chemical.objects.all()
count = len(chemicals)
start_time = time.monotonic()
last_i = 0... | EugeneBilenko/partial | chemical/management/commands/ReassignChemicalSynonyms.py | ReassignChemicalSynonyms.py | py | 1,198 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.core.management.BaseCommand",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "time.monotonic",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "chemical.models",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "tim... |
10679096000 | import requests
import re
url = 'https://www.aladin.co.kr/shop/common/wnew.aspx?ViewRowsCount=50&ViewType=Detail&SortOrder=6&page=1&BranchType=1&PublishDay=168&CID=437&NewType=SpecialNew&CustReviewRankStart=&CustReviewRankEnd=&CustReviewCountStart=&CustReviewCountEnd=&PriceFilterMin=&PriceFilterMax=&SearchOption='
... | kimeunyoung01/pythonTest | day0420/test.py | test.py | py | 1,225 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.DOTALL",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "re.findall",
"line_number":... |
11648534343 | import os
import argparse
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from pcdet.config import cfg, cfg_from_yaml_file
from pcdet.models.backbones_3d.vfe.vfe_template import VFETemplate
from onnx_backbone_2d import BaseBEVBackbone
# from onnx_dense_head import SingleHead
fro... | hcheng1005/OpenPCDet | tools/onnx_utils_dual_radar/trans_backbone_singlehead.py | trans_backbone_singlehead.py | py | 5,672 | python | en | code | null | github-code | 18 | [
{
"api_name": "pcdet.models.dense_heads.AnchorHeadTemplate",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "... |
70884108199 | import numpy as np
import keras.utils as utils
from keras.layers import LSTM, Dense
from keras.models import Sequential
from keras.layers.embeddings import Embedding
from keras.layers.normalization import BatchNormalization
def create_model(voc_size, hidden_units, model_name):
print("Creating model")
# Build ... | edrukar/intelligent_instrument | instrument/model_functions.py | model_functions.py | py | 1,718 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "keras.models.Sequential",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "keras.layers.embeddings.Embedding",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "keras.layers.LSTM",
"line_number": 15,
"usage_type": "call"
},
{
"api_n... |
40652708739 | """automated test for app"""
import os
import sys
import asyncio
import random
import logging
import json
import datetime
import time
from azure.cosmos import CosmosClient
from azure.iot.device.aio import IoTHubDeviceClient
logging.basicConfig(level=logging.ERROR)
url = os.environ["ACCOUNT_URI"]
key = os.environ["A... | zhovtobruhd/cloud-project-app | test_auto.py | test_auto.py | py | 2,526 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.ERROR",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
... |
28135014240 | import numpy as np
from matplotlib import pyplot as plt
from matplotlib.font_manager import FontProperties # 字体管理器
M_character = np.load('character.npy')
M_weapon = np.load('weapon.npy')
# 设置汉字格式
font = FontProperties(fname=r"fonts\SourceHanSansSC-Bold.otf", size=10)
font_title = FontProperties(fname=r"fonts\SourceH... | OneBST/GI_gacha_dataset | dp_calculator/plot_compare_img.py | plot_compare_img.py | py | 2,591 | python | en | code | 136 | github-code | 18 | [
{
"api_name": "numpy.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.font_manager.FontProperties",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.... |
75170869481 | '''
Simple HTTP server with one GET endpoint. Implemented by overriding the BaseHTTPRequestHandler class used by the HTTPServer class to reply to requests
and serve files normally.
When invoking the script, the port number is provided as an argument E.G.
python3 Stock-python_implementation.py 8000
Examples of vali... | l1uk/Wolt-2023-internship-assignment | Stock-python_implementation.py | Stock-python_implementation.py | py | 1,492 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "http.server.HTTPServer",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "Classes.RequestHandler._RequestHandler",
"line_number": 27,
"usage_type": "argument"
},
{
"api_name": "sys.argv",
"line_number": 33,
"usage_type": "attribute"
},
{
"a... |
13262031146 | # done by convolving the image with a normalized box filter.
# It simply takes the average of all the pixels under kernel area and replaces the central element with this average.
# This is done by the function cv2.blur() or cv2.boxFilter(). Check the docs for more details about the kernel.
# We should specify the wi... | r15h1/opencv | 02-ImageProcessing/06ConvolutionAveraging.py | 06ConvolutionAveraging.py | py | 655 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.imread",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.blur",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
... |
4346698809 | from app.database import Database
from typing import List
from app.models import User
class UserService:
def __init__(self):
self.database = Database()
pass
def get_users(self) -> List[User]:
users = []
print(users, "3")
print("=========================================... | NestorAlban/user_alchemy | app/services/user_service.py | user_service.py | py | 857 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "app.database.Database",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "app.models.User",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "app.models.User",
... |
16940089664 | #Density, in this context, is defined as the number of points within a specified radius.
import numpy as np
from sklearn.cluster import DBSCAN
from sklearn.datasets.samples_generator import make_blobs
from sklearn.preprocessing import StandardScaler
import matplotlib.pyplot as plt
#This function will generate data... | snpushpi/Machine_Learning_Codes | DBSCAN_Clustering.py | DBSCAN_Clustering.py | py | 2,341 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sklearn.datasets.samples_generator.make_blobs",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.cluster.DBSCAN",
"line_number": 26,
"usage_typ... |
4561040529 | from fastapi import FastAPI, Query
from fastapi.responses import RedirectResponse, HTMLResponse
from fastapi.middleware.cors import CORSMiddleware
import uvicorn
import csv
from datetime import datetime
app = FastAPI()
db = []
# Open the CSV file
with open('data.csv', 'r') as file:
# Create a CSV reader object... | nitishkumar2306/4883-SoftwareTools-Erelli | Assignments/A08/main.py | main.py | py | 12,532 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 108,
"usage_type": "call"
},
{
"api_name": "datetime.datet... |
12188134720 | from django.shortcuts import redirect, render
from home.models import NewPost
from django.contrib import messages
from django.db.models import Max
from django.core.paginator import Paginator, EmptyPage
# Create your views here.
def home(request):
allPosts = NewPost.objects.all()
# for obj in allPosts:
... | styxOO7/iBlog-using-Django | home/views.py | views.py | py | 2,332 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "home.models.NewPost.objects.all",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "home.models.NewPost.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "home.models.NewPost",
"line_number": 12,
"usage_type": "name"
},
{
... |
5743484005 | from absl import app
from nmigen import *
from nmigen.build import *
from nmigen_nexys.bazel import top
from nmigen_nexys.board.nexysa7100t import nexysa7100t
from nmigen_nexys.vendor.xilinx import macro
class Demo(Elaboratable):
def elaborate(self, platform: Platform) -> Module:
m = Module()
sw... | sjolsen/nmigen-nexys | board/nexysa7100t/macro_demo.py | macro_demo.py | py | 944 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "nmigen_nexys.vendor.xilinx.macro.AddSub",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "nmigen_nexys.vendor.xilinx.macro",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "nmigen_nexys.bazel.top.build",
"line_number": 27,
"usage_type": ... |
44813864450 | """Day 5"""
from typing import List
from aoc.shared import read_file_lines
lines = read_file_lines("year_2022/input_05.txt", strip=False)
class Move:
def __init__(self, count: int, from_stack: int, to_stack: int) -> None:
self.count = count
self.from_stack = from_stack
self.to_stack = to... | dalemyers/Advent-of-Code | aoc/year_2022/day_05.py | day_05.py | py | 2,526 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "aoc.shared.read_file_lines",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 25,
"usage_type": "name"
}
] |
30624014924 | #https://adventofcode.com/2015/day/10
from itertools import groupby
def part2(input_file, iterations=50):
with open(input_file, "r") as f:
puzzle_input = f.read()
for _ in range(iterations):
puzzle_input = ''.join(str(len(list(v))) + k for k, v in groupby(puzzle_input))
return len(puzzle_input)
def main(... | Maxtasy/adventofcode2015 | day10-2.py | day10-2.py | py | 417 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "itertools.groupby",
"line_number": 12,
"usage_type": "call"
}
] |
29359389428 | from django.contrib import admin
from django.urls import path, include
from job import views
from django.contrib.auth.views import LogoutView, LoginView
urlpatterns = [
path('admin/', admin.site.urls),
path('', views.JobListView.as_view()),
path('<int:pk>/', views.JobDetailView.as_view()),
path('new/',... | therealhalonen/django_tasklist | jobList/urls.py | urls.py | py | 632 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "dja... |
15574519236 | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponseRedirect
from django.conf import settings
from django.urls import reverse, reverse_lazy
from django.views import View, generic
from django.core import serializers
from django.http import Http404
from .models import Error, Period... | wackdot/django_url_shorterner | src/shorterner/views.py | views.py | py | 6,415 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.views.View",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "forms.SubmitUrlForm",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "models.... |
34907481977 | import oracledb
from common.data_models.image import ImagingTypes
from ..models.ris_imaging import RisImaging
from ..utils.sql_statements import query_ris_imaging, query_lab_in_progress, RISImagingQuery, LabInProgressQuery
modality_type_mapping = {
"DX": ImagingTypes.xray,
"CT": ImagingTypes.ct,
"MR": Ima... | guydolinksy/truemedicalreport | src/sheba/digest/digest/logics/ris_adapter.py | ris_adapter.py | py | 2,293 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "common.data_models.image.ImagingTypes.xray",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "common.data_models.image.ImagingTypes",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "common.data_models.image.ImagingTypes.ct",
"line_number":... |
8289681888 | # 作者：hao.ren3
# 时间：2019/11/11 16:48
# IDE：PyCharm
from app.main.forms.add_post import PostForm
from flask_login import login_required, current_user
from app.main import bp
from app import db
from app.models.Post import Post
from app.models.Tag import Tag
from guess_language import guess_language
from flask import flas... | HaoREN211/hao_flask | app/main/routes/add_post.py | add_post.py | py | 1,457 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "app.main.forms.add_post.PostForm",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "guess_language.guess_language",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 24,
"usage_type": "call"
},
... |
11022869834 | import bisect, collections, copy, heapq, itertools, math, operator, string, sys, typing
INF = float('inf')
MOD = 10**9+7
# エラー出さないための定義
class DSU():
def same(self, x, y):
pass
def merge(self, x, y):
pass
class FenwickTree():
def add(self, p, i):
pass
def sum(self, l, r):
... | kanji-a/competitive_programming | lib/lib.py | lib.py | py | 10,933 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.Counter",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 116,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 198,
"usage_type": "call"
},
{
"api_name": "heapq.heappu... |
5937360202 | from datetime import datetime
from game.document.documents.document_base import DocumentBase
from game.document.documents.mutation import Mutation
from game.document.documents.turn import Turn
from game.document.seeding.prompt_seed_factory import PromptSeedFactory
class Phase(DocumentBase):
_field_definitions = ... | tckerr/finalsweek | finalsweek/game/document/documents/phase.py | phase.py | py | 716 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "game.document.documents.document_base.DocumentBase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "game.document.documents.turn.Turn",
"line_number": 14,
"usage_type": ... |
12004214041 | from ..build import MODULE_REGISTRY
import torch.nn as nn
class HeadBlock(nn.Module):
def __init__(self, in_channels, head_channels, out_channels,
prior_bias=0):
super().__init__()
if head_channels > 0:
self.head_conv = nn.Sequential(
nn.Conv2d(in_chan... | Tedcharlesbrown/ShuttR_Cut_OSC | modules/head/centernet.py | centernet.py | py | 1,309 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
38649113273 | # This script reads LIP files in the 'source' subdirectory.
# It outputs CSV files in the 'translate' subdirectory using pipe characters | as delimiters.
#
# Each row contains: the voice index, dialogue offset address in hex, dialogue text converted to UTF-8,
# lip movement command sequence address in hex, and raw byt... | TheOpponent/st3-translation-notes | Scripts/read_lip.py | read_lip.py | py | 3,569 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"lin... |
9790360355 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 28 17:06:28 2021
@author: alankar
"""
#./output-8192//plots/8192_fields-avg.txt
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
from scipy.integrate import solve_ivp
import sys
from scipy import interpolat... | dutta-alankar/cooling-flow-model | PLUTO-simulations/new-profile/convergence.py | convergence.py | py | 7,011 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "decimal.Decimal",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "cycler.cycler",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rc",
... |
39987842957 | import scipy.io as sio
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import numpy.linalg as lin
def subgrad_func(A,b,lam):
n2 = A.shape[1]
x = np.zeros((n2,1))
k=1
g = np.ones((n2,1))
t = 0.01
f = []
while True:
if k>3:
crit = np.abs(f[k-2]-f[k-... | burakbayramli/classnotes | func_analysis/func_42_subgrad/subgrad.py | subgrad.py | py | 866 | python | en | code | 69 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number"... |
75107770600 | from dal import autocomplete
from django import forms
from analysis.models import System, Symptom, CustomUserSymptom
from chemical.models import Chemical, HealthEffect
from experiment.models import Identification
from genome.models import Gene, Snp, DiseaseTrait
class SystemAdminForm(forms.ModelForm):
class Meta... | EugeneBilenko/partial | analysis/forms.py | forms.py | py | 1,878 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "analysis.models.System",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "dal.a... |
12915317212 | from django.conf.urls import patterns, include, url
urlpatterns = patterns('',
# Examples:
url(r'^$', 'games.views.index', name='index'),
url(r'^new/$', 'games.views.new', name='new'),
url(r'^edit/(?P<id_number>[\d]+)$', 'games.views.edit', name='edit'),
url(r'^delete/(?P<id_number>[\d]+)$', 'games.views.delete',... | jeffbarg/Assassin | django/games/urls.py | urls.py | py | 391 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "djan... |
38172499073 | import argparse
import logging
import sys
from PIL import Image
LOGGING_FORMATTER = logging.Formatter("%(asctime)s [%(levelname)s] %(message)s")
def get_console_handler(logging_formatter=LOGGING_FORMATTER):
"""
Return a logging handler that sends logging output to the system's
standard output.
:p... | dphuonganh/Perseus-Biometric-Passport-Photo-Python-Library | bpp/converter.py | converter.py | py | 2,417 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "logging.Formatter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "logging.DEBUG"... |
8798920504 | # -*- coding: utf-8 -*-
from pygments.lexers.python import BashLexer
from pygments.token import Name, Keyword
class MyBashLexer(BashLexer):
EXTRA_KEYWORDS = set(('git', 'clone', 'pip', 'python'))
def get_tokens_unprocessed(self, text):
for index, token, value in BashLexer.get_tokens_unprocessed(... | sdhdez/latex-template-large-report | mybash.py | mybash.py | py | 510 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygments.lexers.python.BashLexer",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "pygments.lexers.python.BashLexer.get_tokens_unprocessed",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygments.lexers.python.BashLexer",
"line_number": 8,
... |
71473620200 | from telethon import TelegramClient, events, sync
from telethon import functions, types
import pandas as pd
import sys
import os
from datetime import datetime
import telethon
print(telethon.__version__)
# These example values won't work. You must get your own api_id and
# api_hash from https://my.telegram.... | doroshishka/Telegram_API | extract_telegram_data.py | extract_telegram_data.py | py | 2,892 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "telethon.__version__",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sys.exc_info",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pandas.DataFra... |
41299438629 | import psycopg2
from collections import Counter
from datetime import datetime
# Connect to the PostgreSQL database
def connect_to_database():
'''
Connects to postgreSQL database
If unsuccessful, resturns the error recieved
'''
try:
# connection = psycopg2.connect(
# hos... | granolaameobi/fresko | POS/pos_app/models.py | models.py | py | 21,005 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "psycopg2.connect",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "psycopg2.Error",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "collections.Counter",
"line_number": 254,
"usage_type": "call"
},
{
"api_name": "datetime.da... |
37965121670 | from collections import Counter
from argparse import ArgumentParser
from tweepy import Cursor
from make_client import make_client
def get_hashtags(tweet: dict) -> list:
"""
The tweet argument is a dict. So get 'entities' key or return a empty dict.
This is required for the second .get() to not throw a err... | RitamDey/Everything | python/Social Networks/Twitter/Analyze Tweets/hashtag_counter.py | hashtag_counter.py | py | 1,075 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "collections.Counter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "make_client.make_client",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "t... |
32027022081 | """
In this model, we define a schema for petri nets, and then a subclass of acset
with some convenience methods.
"""
from pathlib import Path
from acsets import (
CATLAB_SCHEMAS_DIRECTORY,
HERE,
JSON_SCHEMAS_DIRECTORY,
ACSet,
Attr,
AttrType,
Hom,
Ob,
Schema,
)
Species = Ob(name="S... | AlgebraicJulia/py-acsets | src/acsets/petris.py | petris.py | py | 6,214 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "acsets.Ob",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "acsets.Ob",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "acsets.Ob",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "acsets.Ob",
"line_number": 22,
... |
3543348968 | import numpy as np
import scipy as sp
from quaternion import from_rotation_matrix, quaternion, as_euler_angles, from_euler_angles, as_quat_array
from scipy.spatial.transform import Rotation as R
from matplotlib import pyplot as plt
from rlbench.environment import Environment
from rlbench.action_modes import ArmActionM... | eichmeierbr/robo_autonomy_project | tf_runner.py | tf_runner.py | py | 4,749 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_nu... |
3658405651 | import pygame
from os import system
pygame.init()
#Função para tocar a música
def mp3(musica) :
pygame.mixer.music.load(musica)
pygame.mixer.music.play()
pygame.event.wait()
enter = input('Pressione enter para continuar')
#Função para lmpar a tela
def cls() :
system('cls')
#Perguntar qual estil... | Luis-Otavio-Araujo/Curso-de-Python | MeusTestes/mp3.py | mp3.py | py | 2,295 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.music.load",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.mixer.music... |
22799326780 | """
Script which submits tg data from the Netszch TGA/DSC
to a database. To run the script:
python tg_to_db.py <dir> <coke>
<dir> = directory for refinement results files. Can be '.' or a specific folder.
<coke> = coke (Optional, type "coke" if the sample contains coke)
"""
from tomocatdb.data_model import *
import... | NicolaiHaaberJunge/TomocatDB-Scripts | tg_to_db.py | tg_to_db.py | py | 8,661 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
36630157983 | from decimal import Decimal
from rest_framework.serializers import ModelSerializer, ReadOnlyField
from apps.biscuit.models.biscuit import Biscuit, PriceList, ReturnBiscuit
from apps.warehouse.models import WareHouseBiscuit
class BiscuitModelSerializer(ModelSerializer):
class Meta:
model = Biscuit
... | Aziz0507/beckend | api/biscuit/serializers/biscuit.py | biscuit.py | py | 2,290 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "apps.biscuit.models.biscuit.Biscuit",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "apps.biscuit.models.biscuit.PriceList.objects.filter",
"line_nu... |
6283668116 | import pathlib
import torch.utils.data
import os
import numpy as np
import collections
import skimage.draw
import tqdm
import cv2
DATA_DIR = '/home/fdarbeha/projects/def-wanglab/EchoNet/data'
class EchoDataset(torch.utils.data.Dataset):
def __init__(self, root=None,
ssl=False,
sp... | fdarbeha/echonet_representation_learning | data/echonet_dataset.py | echonet_dataset.py | py | 10,745 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "torch.utils.data.utils",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path.exi... |
37747844913 | """Match WebScraper."""
import csv
import logging
import pdb
import sqlite3
from datetime import datetime
# from collections import namedtuple
# from threading import Thread
from os.path import isfile
# from selenium.webdriver.firefox.options import Options
from time import ctime, sleep
from bs4 import BeautifulSoup
... | theharshitgarg/match_web_scraper | match_scraper.py | match_scraper.py | py | 6,752 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "datetime.dat... |
42691938485 | """
This code contains the results of the occlusion testing as well as functions to plot the results.
This code was written and designed by Christopher du Toit.
"""
import os.path
import numpy as np
import matplotlib.pyplot as plt
import pickle
import torch
from timesformer.visualization.utils import get_confusion_mat... | chrisdt1998/Research_internship | Experiments/occlusion_results.py | occlusion_results.py | py | 7,564 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
37477696455 | import os
from django.shortcuts import render, HttpResponse
from django import forms
from app01.utils.bootstrap import BootStrapForm, BootStrapModelForm
from app01 import models
from django.conf import settings
def upload_list(request):
if request.method == "GET":
return render(request, 'upload_list.html... | XTQ0648/Django1 | day16/app01/views/upload.py | upload.py | py | 3,333 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.HttpResponse",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "app01.utils.bootstrap.BootStrapForm",
"line_number": 24,
"usage_type": "name"
},
... |
34748228597 | from bs4 import BeautifulSoup as bs
import requests
import selenium
import time
from splinter import Browser
import pandas as pd
import json
#############################
# Initialize selenium
#############################
executable_path = {'executable_path': '/usr/bin/chromedriver'}
browser = Browser('chrome', **e... | little-boots/webscraper | scraper.py | scraper.py | py | 3,938 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "splinter.Browser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
... |
27887176470 | import pygame as pg
class Button(pg.sprite.Sprite):
def __init__(self, x, y, color):
pg.sprite.Sprite.__init__(self)
self.image = pg.Surface((30, 30))
self.image.fill(color)
self.rect = self.image.get_rect()
self.rect.x = x
self.rect.y = y | cjcocokrisp/random-games | connect_four/sprites.py | sprites.py | py | 293 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.sprite",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite.Sprite.__init__",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.sprite",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pyga... |
22815523177 | # -*- coding: utf-8 -*-
from unittest.mock import Mock, patch
import pytest
from paas_wl.networking.ingress.constants import AppDomainSource
from paas_wl.networking.ingress.entities.ingress import ingress_kmodel
from paas_wl.networking.ingress.exceptions import DefaultServiceNameRequired, EmptyAppIngressError, ValidC... | leafage-collb/bk-paas | workloads/paas_wl/tests/networking/ingress/managers/test_domain.py | test_domain.py | py | 11,755 | python | en | code | null | github-code | 18 | [
{
"api_name": "pytest.mark",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "paas_wl.networking.ingress.models.AppDomainSharedCert.objects.create",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "paas_wl.networking.ingress.models.AppDomainSharedCert.objec... |
6209149731 | # D - Cylinder
# https://atcoder.jp/contests/abc247/tasks/abc247_d
# ランレングス符号化
from collections import deque
que = deque()
Q = int(input())
for i in range(Q):
query = list(map(int, input().split()))
if query[0] == 1:
que.append(query[1])
que.append(query[2])
else:
ans = 0
v... | kotadd/competitive_programming | query/abc247_d.py | abc247_d.py | py | 887 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
10866618496 | import sys
sys.path.append(".")
from torch.utils.tensorboard import SummaryWriter
import os
import torch
import argparse
import numpy as np
import pandas as pd
from model import Model
from data.data import CellCropsDataset
from data.utils import load_crops
from data.transform import train_transform, val_transform
from ... | mahmoodlab/MAPS | scripts/CellSighter/cHL_CODEX_training_validation_testing.py | cHL_CODEX_training_validation_testing.py | py | 10,809 | python | en | code | 11 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "torch.multiprocessing.set_sharing_strategy",
"line_number": 16,
"usage_type": "call"
},
{
"api_name":... |
44906244434 | # encoding:utf-8
from flask import Flask,request
import json
from threading import Thread
import threading
import time
import sys
import sqlite3
import os
app=Flask(__name__)
####回复文本格式##########
re={}
result={}
result["type"]="text"
result["content"]=""
re["error_code"]=0
re["error_msg"]=""
re["resu... | yutian11308023/Smarthome | Smarthome/API_server.py | API_server.py | py | 4,267 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "flask.request.data",
"line... |
74849757479 | from torch import nn
import torch
import numpy as np
class SIREN(nn.Module):
def __init__(self, in_features, hidden_features, hidden_layers, first_omega_0, hidden_omega_0):
super().__init__()
self.net = []
self.net.append(
SineLayerLinear(
in_features=in_fea... | david-knigge/separable-group-convolutional-networks | ck_g_cnn/nn/ck/SIREN.py | SIREN.py | py | 2,408 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
21208597879 | from django.test import TestCase
from django.urls import reverse
from final_exam_project.rent_a_car_web.models import Car
class CarsPageViewTest(TestCase):
def test_cars_page_view(self):
self.car1 = Car.objects.create(make='Toyota', car_model='Corolla', horsepower=200, image='toyota.jpg', price=50)
... | KstoyM/python_web | final_exam_project/final_exam_project/tests/rent_a_car_web/views/catalogue.py | catalogue.py | py | 797 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.test.TestCase",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "final_exam_project.rent_a_car_web.models.Car.objects.create",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "final_exam_project.rent_a_car_web.models.Car.objects",
"line_n... |
45805226194 | from dotenv import load_dotenv
import datetime as dt
import os
import telebot
import json
load_dotenv()
BOT_TOKEN = os.environ.get('BOT_TOKEN')
bot = telebot.TeleBot(BOT_TOKEN)
COMMANDS = [
{
"name": 'start',
"description": 'Restart the bot'
},
{
"name": 'predict',
"descrip... | BaGreal2/alert_prediction | src/bot/bot.py | bot.py | py | 3,912 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "telebot.TeleBot",
... |
24165308781 | # ---
# jupyter:
# jupytext:
# formats: ipynb,py:light
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.7.1
# kernelspec:
# display_name: Vigilance
# language: python
# name: vigilance
# ---
# # Laplacian Eigenmap... | IsabelF98/PRJ_Manifold_Learning | Notebooks/Laplacian_Eigenmap_Scikit_1.py | Laplacian_Eigenmap_Scikit_1.py | py | 19,971 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "holoviews.extension",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "panel.extension",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "sklearn.datasets.... |
41732611929 | import wfdb
import numpy as np
# features array:
#
# (0 = no = negative = front)
# (1 = yes = positive = end)
#
# 0 parity = number of previous deliveries,
# 1 maternal age,
# 2 previous abortions,
# 3 weight,
# 4 hypertension,
# 5 diabetes,
# 6 smoker
# 7 bleeding... | adiguno/4782_Final_Project | preprocessing.py | preprocessing.py | py | 4,669 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "wfdb.rdsamp",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 111,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number":... |
72592929639 | import os
import sys
import random
import math
import numpy as np
import skimage.io
import matplotlib
import matplotlib.pyplot as plt
import cv2
import time
import glob
import argparse
from mrcnn.config import Config
from datetime import datetime
from scipy.misc import imsave
###########################################... | silencessss/mask_rcnn | eval.py | eval.py | py | 6,451 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.isdir",
... |
42745230076 | from functools import partial
import time
from interp.ui.attribution_backend import AttributionBackend
from interp.ui.very_named_tensor import LazyVeryNamedTensor, VeryNamedTensor
from typing import Any
import asyncio
import websockets
import json
from interp.model.model_loading import load_model
from interp.encoding i... | redwoodresearch/interp | interp/cui.py | cui.py | py | 3,732 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "typing.Any",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "threading.Lock",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "interp.encoding.msgpack_encode",... |
20017167214 | # Code for 'diabetes_main.py' file.
# Importing the necessary Python modules.
import streamlit as st
import numpy as np
import pandas as pd
# Configure your home page by setting its title and icon that will be displayed in a browser tab.
st.set_page_config(page_title = 'Early Diabetes Prediction Web App',
... | Sathvika1411/Diabetes-Prediction-app | diabetes_main.py | diabetes_main.py | py | 1,807 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "streamlit.cache",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "streamlit.si... |
16702169999 | from typing import Optional, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchaudio
from pyannote.core.utils.generators import pairwise
from pyannote.audio.core.model import Model
from pyannote.audio.core.task import Task
from pyannote.audio.utils.params import merge_dict
class S... | pyannote/pyannote-audio | pyannote/audio/models/segmentation/SSeRiouSS.py | SSeRiouSS.py | py | 7,520 | python | en | code | 4,001 | github-code | 18 | [
{
"api_name": "pyannote.audio.core.model.Model",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 61,
"usage_type": "name"
},
{
"api_name": "pyannote... |
6209034135 | import inspect
import json
import sys
import arrow # TODO cpy3.7 datetime.fromisoformat('2017-01-01T12:30:59.000000+08:00')
from datetime import datetime, date
from aiohttp.web_exceptions import HTTPException
from .exception import RESTfulArgumentError
def argument_getter_factory(route_spec):
""" 根据spec来生成han... | lcgong/alchemy | redbean/redbean/handler_argument.py | handler_argument.py | py | 6,028 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "inspect.signature",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "aiohttp.web_exceptions.HTTPException",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "exception.RESTfulArgumentError",
"line_number": 48,
"usage_type": "call"
},
{
... |
12418934108 | import json
def get_client(secrets_path):
'Returns an OAuth client, using the given path as a secrets store'
# Find you
API_KEY = '<Your API Key, AKA Client ID>@AMER.OAUTHAP'
REDIRECT_URI = '<Your Redirect URI>'
import os
import pickle
from requests_oauthlib import OAuth2Session
# Lo... | IoT-master/TDAmeritradeAPI | temp.py | temp.py | py | 2,552 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.expanduser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_... |
11484164489 | import config
from sqlalchemy import Column, BigInteger, String, ForeignKey, Table
from sqlalchemy.orm import relationship, backref
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
Base = declarative_base()
class WhitelistEntry(Base):... | sspzz/atlantis_bot | whitelist.py | whitelist.py | py | 2,160 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.BigInteger",
"line_number": 12,
"usage_type": "argument"
},
{... |
39946844670 | """
BINocular backend for beamline ID03:EH2
This backend should serve as a basic example of a backend based on
xrayutilities [1]. It still uses PyMCA for parsing the spec,edf files.
The 'original' ID03 backend was used as a template.
Created on 2014-10-16
[1] http://xrayutilities.sourceforge.net/
author: Dominik Kr... | id03/binoculars | binoculars/backends/id03_xu.py | id03_xu.py | py | 10,437 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "sys.version_info",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "numpy.identity",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "sys.stderr.write",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
... |
5603813650 | import sys
import importlib
def run_test(module):
for k, v in module.__dict__.items():
if k[:4] == 'test' and hasattr(v, '__call__'):
v()
if __name__ == '__main__':
n = sys.argv[1]
m = importlib.import_module(n)
run_test(m)
| laomobk/vvc | tests/tester.py | tester.py | py | 264 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "importlib.import_module",
"line_number": 13,
"usage_type": "call"
}
] |
18418150512 | import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(1,24, 24)
y = x
plt.plot(x,y)
plt.xticks(np.linspace(1,24, 24))
plt.yticks(np.linspace(1,24,24),[r'$\alpha$',r'$\beta$',r'$\gamma$',r'$\delta$',r'$\epsilon$',r'$\zeta$',r'$\eta$',r'$\theta$',r'$\iota$',r'$\kappa$',r'$\lambda$',r'$\mu$',r'$\nu$',r'$\xi... | keepwonder/learn_matplotlib | .ipynb_checkpoints/demo05_greek_character-checkpoint.py | demo05_greek_character-checkpoint.py | py | 478 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.linspace",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplo... |
12861081335 | import pprint, bson
from classes.collection import Collection
from classes.helpers.functions import (
presentChoiceString,
presentChoice,
handleBool,
waitForInput
)
class SkillCategory(Collection):
def __init__(self, name, workName, database):
super().__init__(name, workName, database)
... | Vinesma/portfolio-website-v2 | dbHelper/classes/skillCategory.py | skillCategory.py | py | 5,189 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "classes.collection.Collection",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "classes.helpers.functions.presentChoiceString",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "classes.helpers.functions.presentChoiceString",
"line_number": 24... |
27994227783 | #标注训练集的anchor
"""
在训练集中，将每个anchor作为一个训练样本，为了训练目标检测模型，需要为每个anchor标注两类标签：
1.anchor所含目标的类别，简称类别
2.真实边界框ground truth相对anchor的偏移量，偏移量offset,
在目标检测时，
1.首先生成多个anchor,
2.然后为每个anchor预测类别以及偏移量，
3.接着根据预测的偏移量调整anchor位置从而得到预测边界框，
4.最终筛选需要输出的预测边界框
在目标检测的训练集中，每个图像已经标注了真实边界框ground truth的位置以及所含目标的类别；
在生成anchor之后，主要依据与anchor相似的真实边界框gr... | yfL-fengzifei/my_pytorch_notebook | pytorch_tutorial/9_4_3 pytorch-diDL-cv-anchor2.py | 9_4_3 pytorch-diDL-cv-anchor2.py | py | 5,658 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "PIL.Image.open",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 60,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",... |
12831109355 | import torch
import torch.nn as nn
import torch.optim as optim
import config
import os
from dataset import MyTestDataset
from generator_model import Generator
from utils import save_test_examples, load_checkpoint
import argparse
def parser():
parser = argparse.ArgumentParser(description="test.py: Model testing scr... | vinesmsuic/White-box-Cartoonization-PyTorch | test.py | test.py | py | 2,906 | python | en | code | 28 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "config.VAL_PHOTO_DIR",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "config.VAL_PHOTO_DIR",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_n... |
866306779 | import sys
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import cross_validate
from sklearn.svm import SVR
from RegressionMetrics import RegressorMetrics
from numpy import arange
from timeit import default_timer as timer
# from numba import jit, cuda , float32
# @jit(target... | Tecvico/Non-motor-Outcome-Prediction-in-Parkinson-s-Disease-Using-Novel-HMLS-and-Radiomics-Features | Regression/svm_RBF.py | svm_RBF.py | py | 2,644 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "timeit.default_timer",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.GridSearchCV",
"line_number": 43,
"usage_type": "call"
},
{
"api_name":... |
70688205481 | """Plotting functions
This module contains various functions to plot graphs and algorithms.
"""
__author__ = 'Henry Robbins'
__all__ = ['tour_plot', 'tree_plot', 'dijkstras_plot', 'mst_algorithm_plot',
'tsp_heuristic_plot', 'create_tour_plot',
'create_spanning_tree_plot', 'assisted_mst_algorithm... | engri-1101/vinal | vinal/plot.py | plot.py | py | 37,428 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "pkgutil.get_data",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "pkgutil.get_data",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "pkgutil.get_data",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "typing.List",
... |
74928667879 | """
[전화번호 목록]
전화번호부에 적힌 전화번호를 담은 배열 phone_book 이 solution 함수의 매개변수로 주어질 때,
어떤 번호가 다른 번호의 접두어인 경우가 있으면 false를 그렇지 않으면 true를 return 하도록 solution 함수를 작성하기
"""
from typing import List
def solution01(phone_book:List) -> bool:
"""어떤 번호가 다른 번호의 접두어로 존재하는지 판단하는 함수
Args:
phone_book (List): 전화번호부에 적힌 전화번호를 담은 ... | JeHa00/TIL | DataStructure_Algorithum/Programmers_High_score_kit/hash/전화번호_목록.py | 전화번호_목록.py | py | 3,620 | python | ko | code | 1 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 7... |
929486807 | """Site theme per user
Revision ID: e73842c57ec7
Revises: 8e8ba38bf52e
Create Date: 2022-04-16 16:03:50.623816
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'e73842c57ec7'
down_revision = '8e8ba38bf52e'
branch_labels = None
depends_on = None
def upgrade():
... | mja00/swarmsmp-site | services/web/migrations/versions/e73842c57ec7_site_theme_per_user.py | e73842c57ec7_site_theme_per_user.py | py | 673 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String"... |
16454617370 | import numpy as np
import scipy.special
import scipy.linalg
from src.classes import Atom
from src.classes import Vector
from src.radial_part import compute_radial_part
from src.gaunt_integral import compute_real_sph_harm
from matplotlib import pyplot
LMAX = 2
cg_coefficients = np.load("cg-coefficients.npy")
atoms =... | yernende/schrodinger-calculator | swmain.py | swmain.py | py | 4,442 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "src.classes.Atom",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": ... |
41090032893 | from django.shortcuts import render
from django.http import JsonResponse
from .models import Client
def get_all_clients(request):
if request.method == "GET":
clients = Client.objects.filter()
clients_list = []
for client in clients:
clients_list.append({"id": client.id, "name":... | oakbani/kdsp-portal | admin-portal/clients/views.py | views.py | py | 389 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.Client.objects.filter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "models.Client.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "models.Client",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "dj... |
29491705155 | import numpy as np
from numpy.typing import ArrayLike, NDArray
from typing import Literal, Tuple, Union
from ..utils._validations import _ensure_ndarray
from ..transforms.householder import house
def house_hess(
a: ArrayLike,
mode: Literal["full", "hess"] = "full",
overwrite_a: bool = False
) -> Union[Tup... | gittasche/linalg | linalg/eig_unsym/house_hess.py | house_hess.py | py | 1,291 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.typing.ArrayLike",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "typing.Literal",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "utils._validations._ensure_ndarray",
"line_number": 14,
"usage_type": "call"
},
{
"api_name"... |
75257136679 | from tensorflow.keras.models import load_model
from tensorflow.keras.preprocessing import image
import numpy as np
import os
import argparse
import csv
parser = argparse.ArgumentParser()
parser.add_argument("folder", type=str)
args = parser.parse_args()
folder_path = args.folder # image folder
# folder_... | Gestapo07/AIMLC-Hackathon | inference1.py | inference1.py | py | 1,289 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "... |
3769599664 | import logging
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
import argparse
import os
# TE Age Landscapes
# Heavily modified from 11 August 2019 script by Jenna R. Grimshaw (jenna.grimshaw@ttu.edu)
# This script will take bedfiles and reformat into separate columns as follows:
# Scaffold, TE,... | npaulat/teava | 01/TE_landscape_mya_bins.py | TE_landscape_mya_bins.py | py | 4,976 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
41342629269 | #imports the sqlite3 module, allowing use of its classes and methods
import sqlite3
#establishes the connection and sets it to variable 'connection', if there is no "Test_database.db"
#it will be created and the connection will be established
connection = sqlite3.connect("C:/Choose_your_file_path_here_where_you_want/T... | Itz-Djin/TTA-Python-Projects | Assignments/exampleSQLite3.py | exampleSQLite3.py | py | 4,087 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 61,
"usage_type": "call"
}
] |
26952796979 | import clinica.pipelines.engine as cpe
class PetSurface(cpe.PETPipeline):
"""PetSurface - Surface-based processing of PET images.
Returns:
A clinica pipeline object containing the PetSurface pipeline.
"""
def check_pipeline_parameters(self):
"""Check pipeline parameters."""
s... | aramis-lab/clinica | clinica/pipelines/pet_surface/pet_surface_pipeline.py | pet_surface_pipeline.py | py | 16,614 | python | en | code | 196 | github-code | 18 | [
{
"api_name": "clinica.pipelines.engine.PETPipeline",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "clinica.pipelines.engine",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 59,
"usage_type": "call"
},
{
"api... |
35679326451 | import plotly.graph_objects as go
import pandas as pd
z_data = pd.read_csv(
"https://raw.githubusercontent.com/plotly/datasets/master/api_docs/mt_bruno_elevation.csv"
)
fig = go.Figure(
data=go.Surface(z=z_data.values),
layout=go.Layout(
title="Mt Bruno Elevation",
width=500,
heigh... | rafaelmarino/hugo-plotly | scripts/mt-bruno.py | mt-bruno.py | py | 462 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objects.Figure",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objects",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "plotly.... |
13077190652 | import datetime as dt
import src.auxiliares.generador_palabras as genp
import src.auxiliares.funciones_generales as funcs
def main():
""" Declara manualmente los valores de los distintos
diccionarios que establecen qué fichas usar
en cada dia y rango horario, y dependiendo si se juega
con palabras o ... | LoreOth/MemPy-game | src/auxiliares/Criterios.py | Criterios.py | py | 7,125 | python | es | code | 1 | github-code | 18 | [
{
"api_name": "src.auxiliares.funciones_generales.get_info_usuario_actual",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "src.auxiliares.funciones_generales",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 18,
... |
39230371157 | from flask import Flask
from flask import render_template
from flask import jsonify,json
from flask import request
app = Flask(__name__)
with open('books.json') as file:
book_json = json.load(file)
@app.route("/")
def home():
return '<h1> My app </h1>'
@app.route('/api/books/', methods=['GET'])
def api():... | Makha008/Python-Web | Flask/Book/book_store.py | book_store.py | py | 1,015 | python | fr | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.json",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "flask.jsonify",
"line_numbe... |
71704251239 | import urllib
from collections import OrderedDict
from apps.crowd.models.segprob import SegmentationProblem
try:
from cStringIO import StringIO
except:
from StringIO import StringIO
# ==============
# Django imports
# ==============
from django.contrib.auth.decorators import login_required, user_passes_tes... | tonysilva1989/COSE | apps/crowd/views/workers.py | workers.py | py | 5,221 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.core.context_processors.csrf",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "crowd.models.assignment.AssignmentSession.objects.get_by_worker",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "crowd.models.assignment.AssignmentSession.obj... |
20653500164 | import requests
import json
import os
from requests import HTTPError
class Cell:
def __init__(self, cell_data):
self.owner = cell_data['o']
self.attacker = cell_data['a']
self.isTaking = cell_data['c'] == 1
self.x = cell_data['x']
self.y = cell_data['y']
self.occup... | evilnose/colorfight_arsenal | cf_client.py | cf_client.py | py | 11,615 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.isfile",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 97,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 111,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_num... |
71178797481 | import csv
from datetime import date, datetime
import json
from shapely.geometry import Point, shape
from pymongo import MongoClient
config = json.loads(open("config.json").read())
# Gets the database to input data to from MongoDB
client = MongoClient('mongodb://'+config['mongo_user']+':'+config['mongo_pass']+'@'+con... | gigarza/sf-dispatches | data.py | data.py | py | 3,821 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "shapely.geometry.shape",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "json.load",
... |
74940122599 |
from django.urls import path
from . import views
urlpatterns = [
path('', views.index,name='index'),
path('home/', views.home,name='home'),
path('employ/acer/', views.home, name='home'),
path('create/', views.create, name='create'),
path('employee/<slug:name>/', views.employ, name='detail'),
p... | heerapp/first | main/urls.py | urls.py | py | 1,010 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
7537035952 | from django.core.exceptions import ValidationError
from rest_framework import serializers
from ..accounts.models import AccountCollaborator
from ..invitations.models import InvitedUser
from ..accounts.permissions import AccountPermission
from ..users.serializers import NestedUserSerializer, UserSimpleSerializer
from ... | GetBlimp/boards-backend | blimp_boards/boards/serializers.py | serializers.py | py | 5,781 | python | en | code | 16 | github-code | 18 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "users.serializers.NestedUserSerializer",
"line_number": 13,
"u... |
1085886019 | #################################################
# import libraries
#################################################
import datetime as dt
from dateutil.relativedelta import relativedelta
import numpy as np
import pandas as pd
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm impo... | hej6853/sqlAlchemy_Challenge_Surfs_Up | app.py | app.py | py | 4,904 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ext.automap.automap_base",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 37,
"usage_type": "call"
},
{
... |
2522171172 | import click
import fitz
import re
pattern = r"(.*?)\.{2,}(\d*)"
def split_line(line):
match = re.search(pattern, line)
return match.groups()
def parse_toc(page:int, offset:int, input_pdf:str):
doc = fitz.open(input_pdf)
toc_page = doc.load_page(page)
for line in toc_page.get_text().split("\n")... | DC23/pdf-bookmarker | create_outline.py | create_outline.py | py | 1,235 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "re.search",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "fitz.open",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "click.command",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "click.option",
"line_number": 30... |
10750351316 | import time
from datetime import timedelta
import logger
import redis
from redis import Redis
# Fixed Window
def fixed_window_max_requests_per_seconds(
r: Redis, keys: list, limit: int, period: timedelta
):
return_value = True # Fails closed
for key in keys:
if r.setnx(key, limit): # If key doe... | rickramgattie/centralized_rate_limiter | ratelimiter.py | ratelimiter.py | py | 3,037 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "redis.Redis",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "redis.WatchError",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "logger.info",
... |
34786779164 | from sqlalchemy import select
from sqlalchemy.orm import joinedload
from app.models import Diary, DiaryProduct
from app.repositories.errors import EntityNotFound
from app.repositories.sqlalchemy_repo import SQLAlchemyRepository
class DiaryRepository(SQLAlchemyRepository):
"""Diary repository"""
async def li... | hutanmihai/FMI | Anul II/Semestrul II/MDS/ProiectMDS/calorie-tracker-backend/app/repositories/diary_repo.py | diary_repo.py | py | 1,733 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "app.repositories.sqlalchemy_repo.SQLAlchemyRepository",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.select",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "app.models.Diary",
"line_number": 15,
"usage_type": "argument"
}... |
12474808025 | from flask import Flask, jsonify, Blueprint, request
import uuid
from datetime import datetime
from http import HTTPStatus
import requests
class User:
def __init__(self, name, birth_date, gender):
self._id = str(uuid.uuid4())
self._name = name
self._birth_date = birth_date
self._ge... | abispo/apex_flask_aula_01 | main.py | main.py | py | 3,303 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "uuid.uuid4",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
... |
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