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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
72738798119 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.core.validators
class Migration(migrations.Migration):
dependencies = [
('designer_shop', '0003_featuredshop'),
]
operations = [
migrations.AlterField(
mode... | jonmer85/Tinville | designer_shop/migrations/0004_auto_20150707_1218.py | 0004_auto_20150707_1218.py | py | 609 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 15,
"usage_type": "call"
},
{... |
28432482681 | from .base import BaseRunner
from torch import nn, Tensor
from torch.optim import Optimizer
from torch.optim.lr_scheduler import _LRScheduler as LrScheduler
from torch.utils.data.distributed import DistributedSampler
from torch.utils.data import DataLoader
from firecore_torch.metrics import MetricCollection
import logg... | SunDoge/firecore_torch | firecore_torch/runners/evaluator.py | evaluator.py | py | 1,805 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "base.BaseRunner",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
... |
3909794302 | import json
import config
import lib.gwpcc.consts
from lib.db import get_redis_database_connection
from lib.gwpcc.things.thing import Thing
ok = False
version = None
language_added = False
language = ''
translate_only = False
while not ok:
version = input('Which version? ')
language = input('Language: ')
... | OdysseyScorpio/gwp | Scripts/import_game_data.py | import_game_data.py | py | 2,005 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "config.API_DB_CONFIG",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "lib.db.get_redis_database_connection",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "config.API_DB_CONFIG",
"line_number": 21,
"usage_type": "attribute"
},
... |
40328690093 | # Добавим текстуру неба
import numpy as np
from vispy import gloo, app, io
from surface import Surface
VS = ("""
#version 120
uniform float u_eye_height;
attribute vec2 a_position;
attribute float a_height;
attribute vec2 a_normal;
varying vec3 v_normal;
varying vec3 v_position;
void main (void) {
v_normal=n... | alepoydes/introduction-to-numerical-simulation | practice/render/render7.py | render7.py | py | 4,350 | python | en | code | 21 | github-code | 18 | [
{
"api_name": "vispy.app.Canvas",
"line_number": 85,
"usage_type": "attribute"
},
{
"api_name": "vispy.app",
"line_number": 85,
"usage_type": "name"
},
{
"api_name": "vispy.app.Canvas.__init__",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "vispy.app.C... |
2504740048 | #!/usr/bin/python3
import copy
import time
from abc import ABC, abstractmethod
from array import array
from typing import Tuple, List, Optional, Type
# An OptionSet is an int that has 9 bits set either to:
# - 1 to mark a digit already used
# - 0 to mark a digit available
class OptionSet:
@staticmethod
de... | fredericbcv/sudoku_solver | fast_sudoku.py | fast_sudoku.py | py | 13,070 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Tuple",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "array.array",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "array.array",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "array.array",
"line_number":... |
5217812104 | import cv2
import numpy as np
from statistics import mode
import sys
import matplotlib.pyplot as plt
from PDF_to_PNG import convertPDF
import os
import time
import kMean
radii = []
# Define acceptable error
radiusDelta = 1
# Define acceptable range of dimension sizes, 15-20 usually.
minCricleW = 16
minCricleH = 16
mi... | LemuelKL/Multiple-Choice-OMR | Python/main.py | main.py | py | 7,057 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "cv2.boundingRect",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "cv2.GaussianBlu... |
38270538814 | # -*- coding: utf-8 -*-
"""Setup the OrderManager application"""
import logging
from ordermanager.config.environment import load_environment
from ordermanager.model import meta
import ordermanager.model as model
from hashlib import md5
log = logging.getLogger(__name__)
def setup_app(command, conf, vars):
"""Pla... | Envek/orderman | ordermanager/websetup.py | websetup.py | py | 6,452 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "ordermanager.config.environment.load_environment",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "ordermanager.model.meta.metadata.drop_all",
"line_number": 19,
"usage_... |
37063662408 | #### Setting up the bot ####
# Importing both discord.py and the commands that belong to discord.py
import discord #basic functions
import numpy #calling the random inhabitants
import datetime #changing seconds to hours and minutes
import os #accessing operating system info
imp... | myrthe-vt/TinyTown | main.py | main.py | py | 3,626 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "discord.ext.commands.Bot",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "sys.stderr",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "traceba... |
158527526 | import pymysql
import re
# Required Variables
db_name = 'fossee_new' # Default database
table_name = 'clg_names'
file = open("del.sql",'w') #open the sql file
file.write('use '+db_name)
file.write('\n')
#words to be removed
nre = ['.',' engineering',' group',' college',
' technology',' institution','dr',
' universit... | NavonilDas/fossee_institute_profiles | script/script.py | script.py | py | 2,150 | python | en | code | null | github-code | 18 | [
{
"api_name": "pymysql.connect",
"line_number": 20,
"usage_type": "call"
}
] |
44367383534 | import random
import numpy as np
import pandas as pd
from alpha_vantage.timeseries import TimeSeries
class StockData(object):
def __init__(self,
assets=['GOOGL'],
secret_path="./.secrets/alphavantage.key"):
with open(secret_path) as f:
self.key = f.read()
... | mrklees/market-agent | MarketAgent/Market.py | Market.py | py | 2,880 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "alpha_vantage.timeseries.TimeSeries",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "rand... |
70890791720 | from django.shortcuts import render
from .models import Blog
from django.shortcuts import get_object_or_404
# Create your views here.
def allblogs(request,*args,**kwargs):
blogDB = Blog.objects
displayString = {
"title":"Blog Application",
"blogField":blogDB,
}
return render(request,'blog/allblogs.html... | dipayandutta/python3 | django_protfolio/src/portfolio/blog/views.py | views.py | py | 562 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "models.Blog.objects",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "models.Blog",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.sho... |
8341095955 | from json import dumps
from kafka import KafkaProducer
import praw
import re
# import pprint
import argparse
## Get KAFKA_ADDRESS through user arguments
parser = argparse.ArgumentParser(description='')
parser.add_argument('--KAFKA_ADDRESS', type=str, required=True, help='External IP Address of Kafka VM')
... | sparsh-ai/recohut | docs/12-capstones/other/reddit-kafka-sparkstream-bigquery/producers/producer_reddit_submissions.py | producer_reddit_submissions.py | py | 6,486 | python | en | code | 91 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "kafka.KafkaProducer",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "praw.Reddit",
... |
24799045783 | import json
import os
import sys
import threading
import time
from dataclasses import dataclass
from functools import lru_cache
from queue import Empty, Queue
from subprocess import PIPE, Popen, STDOUT
from typing import List, Optional
import bpy
from .log import DEBUG, ERROR, INFO, log
from . import settings
from .ut... | allista/WakatimeBlender | wakatime_blender/heartbeat_queue.py | heartbeat_queue.py | py | 5,920 | python | en | code | 28 | github-code | 18 | [
{
"api_name": "os.path.basename",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
... |
36239594195 | import pytest
import os
from datetime import timedelta
from click.testing import CliRunner
from airflow import DAG
from airflow.operators.python import PythonOperator
from airflow.operators.bash import BashOperator
from airflow.providers.sqlite.operators.sqlite import SqliteOperator
from gusty.cli import cli, sample_... | pipeline-tools/gusty | tests/test_cli.py | test_cli.py | py | 3,195 | python | en | code | 187 | github-code | 18 | [
{
"api_name": "pytest.fixture",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "click.testing.CliRunner",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pytest.fixture"... |
20334754067 | import requests
from collections import defaultdict
from django.conf import settings
from django.utils.translation import ugettext as _
from timetable.constants import LESSON_TYPES, WEEK_DAYS
from timetable.entities import APIEntity, Group, Teacher
from timetable.exceptions import StopExecution
from timetable.models ... | vladsydorenko/kpibot | timetable/timetable.py | timetable.py | py | 5,170 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "timetable.models.Chat",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "timetable.entities.APIEntity",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.ugettext",
"line_number": 32,
"usage_type": "call"
},
{
... |
41471644360 | import traceback
from typing import Optional, Dict, Any
from helix_fhir_client_sdk.dictionary_writer import convert_dict_to_str
class FhirSenderException(Exception):
def __init__(
self,
request_id: Optional[str],
exception: Exception,
url: str,
headers: Dict[str, str],
... | icanbwell/helix.fhir.client.sdk | helix_fhir_client_sdk/exceptions/fhir_sender_exception.py | fhir_sender_exception.py | py | 1,934 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "typing.Optional",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"li... |
24346681933 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import www.maposmatic.models
class Migration(migrations.Migration):
dependencies = [
('maposmatic', '0005_auto_20170521_0103'),
]
operations = [
migrations.AlterField(
mo... | p0larf0x/maposmatic | www/maposmatic/migrations/0006_auto_20170521_0142.py | 0006_auto_20170521_0142.py | py | 498 | python | en | code | null | github-code | 18 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 15,
"usage_type": "call"
},
{... |
26517571115 | from typing import Optional
import tensorflow as tf
def dpg(
q_max: tf.Tensor,
a_max: tf.Tensor,
tape: tf.GradientTape,
dqda_clipping: Optional[float] = None,
clip_norm: bool = False,
) -> tf.Tensor:
"""Deterministic policy gradient loss, similar to trfl.dpg."""
# Calculate the gradient dq/da... | deepmind/acme | acme/tf/losses/dpg.py | dpg.py | py | 1,537 | python | en | code | 3,100 | github-code | 18 | [
{
"api_name": "tensorflow.Tensor",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.Tensor",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.GradientTape",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name"... |
23795904433 | from typing import Any, Dict
import pytest
from pydantic import ValidationError
from bo4e import KriteriumWert, Tarifregionskriterium
from tests.serialization_helper import assert_serialization_roundtrip
class TestKriteriumWert:
@pytest.mark.parametrize(
"kriteriumwert, expected_json_dict",
[
... | bo4e/BO4E-python | tests/test_kriteriumswert.py | test_kriteriumswert.py | py | 930 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "bo4e.KriteriumWert",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "tests.serialization_helper.... |
39805891277 | import re
import html
import requests
print("西暦何年のコテ雑？（4桁の数字）")
year = input()
print("何月のコテ雑？（1～2桁の数字）")
month = input().zfill(2)
page = 1
pattern = r'<a class="thread".+?title="(.+?)">.+?<td class="date">.+?(\d{4})-(\d{2})-(\d{2})'
path = './result.txt'
r = html.unescape(requests.get('https://www.logsoku.com/search... | zakhor/kott | king_of_threadtitle_v1.0.0.py | king_of_threadtitle_v1.0.0.py | py | 975 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "html.unescape",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "html.unescape",
"line_numbe... |
41771487808 | import threading
from .models import *
from faker import Faker
fake = Faker()
import time
import random
class CreateStudentThread(threading.Thread):
def __init__(self , total):
self.total = total
threading.Thread.__init__(self)
def run(self):
try:
for i in range(... | shubhamjain31/demorepo | Django_thread/Thread_App/thread.py | thread.py | py | 710 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "faker.Faker",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "threading.... |
7132048456 | import config
import pokemon_db as pk
import requests
import discord
import asyncio
import time
import random
PKMN_DB = pk.open_pkl(pk.BASE_PATH+'\pkmn_db.pkl')
WAIT = 4
CLIENT = discord.Client()
def main():
CLIENT.run(config.EMAIL,config.PASSWORD)
@CLIENT.event
async def on_ready():
print... | Muszy/auto-pokecord | pokemon.py | pokemon.py | py | 1,382 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pokemon_db.open_pkl",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pokemon_db.BASE_PATH",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "discord.Client",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "config.E... |
34665672499 | import cv2
import numpy as np
video = cv2.VideoCapture(0)
face_cascade = cv2.CascadeClassifier('haarcascade/haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade/haarcascade_eye.xml')
while True:
_, frame = video.read()
video_cinza = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
... | diogolimalucasdev/Estudando-Sobre-OpenCv | reconhecimento5.py | reconhecimento5.py | py | 757 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColo... |
72628320999 | import imp
from PIL import Image
import time
import os
import yaml
class Template:
def __init__(self, iphone_type, fg_image):
with open('./config.yml','rb') as f:
config = yaml.safe_load(f)
root_dir = config['template_path']
self.pre_dir = os.path.join(root_dir, iphone_type... | Jiecke/jiecke-api | template.py | template.py | py | 1,367 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "yaml.safe_load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_numbe... |
25625865706 | # # -*- encoding:utf-8 -*-
from __future__ import unicode_literals
from decimal import Decimal
from django.test import TestCase
from server.services import car as car_service
from server.services import ServiceError
from server import factories, models
class CarCreateTest(TestCase):
def setUp(self):
se... | JeremyParker/idlecars-backend | server/tests/test_services/test_car_service.py | test_car_service.py | py | 5,047 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "django.test.TestCase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "server.factories.Owner.create",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "server.factories.Owner",
"line_number": 15,
"usage_type": "attribute"
},
{
"ap... |
74791298921 | # Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
# useful for handling different item types with a single interface
from itemadapter import ItemAdapter
import pymongo
# To query document by _id, I m... | YameiSong/jdbooks | novelscrape/novelscrape/pipelines.py | pipelines.py | py | 1,958 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "itemadapter.ItemAdapter",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "itemadapter.ItemAdapter",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "b... |
4729165704 |
import praw
import os
import datetime
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import logging
# Not sure about these two. It is metrics though..
try:
import moviepy.editor as mpy
except:
logging.warning("Unable to import moviepy editor, karmaPlotstoGif() will not functio... | KeithTheEE/redditPythonHelper | utils/botMetrics.py | botMetrics.py | py | 11,445 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "logging.warning",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_n... |
24914823386 | import logging
import math
import os
from pathlib import Path
from typing import Callable, Dict, List, Optional, Union
import torch
import torch.distributed as dist
from hydra._internal.utils import _locate
from lightning.pytorch import LightningModule
from lightning.pytorch.utilities import rank_zero_info
from packag... | juliendenize/eztorch | eztorch/utils/utils.py | utils.py | py | 5,699 | python | en | code | 25 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "lightning.pytorch.LightningModule",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typi... |
44272811300 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('myapp', '0007_getgoodslunbo'),
]
operations = [
migrations.CreateModel(
name='GoodsInfo',
fields=[
... | yeLer/Vue-Somes | step3ComprehensiveProject/django-vue-cms/djangoCMS/myapp/migrations/0008_goodsinfo.py | 0008_goodsinfo.py | py | 819 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 14,
"usage_type": "call"
},
... |
2392706853 | from django.http import HttpResponse
from django.shortcuts import render, redirect
from django.contrib.auth.models import User, auth
from django.contrib.auth.decorators import login_required
from sitemanager.models import Department, Gallery, Students, Syllabus, Teachers, TimeTable
from users.models import leaveReques... | mohammedmishalk/college-website | users/views.py | views.py | py | 3,156 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sitemanager.models.Gallery",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sitemanager.models.Gallery.objects.filter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sitemanager.models.Gallery.objects",
"line_number": 17,
"usage_type"... |
40303748490 | from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import openstack
import unittest
from unittest import mock
from ansible_collections.os_migrate.os_migrate.plugins.module_utils \
import server
from ansible_collections.os_migrate.os_migrate.tests.unit.test_keypair import sdk_k... | lcardonag/os-migrate | os_migrate/tests/unit/test_server.py | test_server.py | py | 11,155 | python | en | code | null | github-code | 18 | [
{
"api_name": "openstack.compute.v2.server.Server",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "openstack.compute",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "ansible_collections.os_migrate.os_migrate.plugins.module_utils.server.Server",
"lin... |
7271664936 | """
Code created by Matt Richardson
for details, visit: http://mattrichardson.com/Raspberry-Pi-Flask/inde...
"""
from flask import Flask, render_template
import datetime
import pandas as pd
import os
import random
app = Flask(__name__)
@app.route("/")
def hello():
now = datetime.datetime.now()
timeString ... | queezz/raspiweb | mokona.py | mokona.py | py | 924 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask.render... |
5460727346 |
from input import *
from collections import defaultdict
contributors = set(contributors)
projects = set(projects)
executed_projects = set()
num_executed = 0
current_day = 0
to_break = False
day_to_project_finish = defaultdict(list)
while not to_break:
completed_projects = day_to_project_finish[curre... | Ruchit-rt/hashcode | main.py | main.py | py | 1,665 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 12,
"usage_type": "call"
}
] |
10310552552 | import cv2
import numpy as np
import os
import sqlite3
from PIL import Image
# training hinh ảnh va thu vien nhan dien
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
recognizer = cv2.face.LBPHFaceRecognizer_create()
recognizer.read('detection\\recognizer\\trainDa... | tuxuanhuy/video_streaming_django | stream/webcam/detection.py | detection.py | py | 2,205 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.data",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "cv2.face.LBPHFaceRecognizer_create",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "... |
36746317558 | from typing import List
from fastapi import APIRouter, HTTPException
from db import items, database
from models import Item
router = APIRouter()
@router.get('/items/', response_model=List[Item])
async def get_items():
query = items.select()
return await database.fetch_all(query)
@router.get("/items/{item... | olgabikbulatova/flaskhw2 | flask_fastapi/hw6/items.py | items.py | py | 1,226 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "db.items.select",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "db.items",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "db.database.fetch_all",
... |
18178347846 | import streamlit as st
def create_sidebar(fluid):
# st.sidebar.text(fluid.name) - clear from menu bar
st.sidebar.markdown("## __Inputs:__")
st.sidebar.markdown(f"Temperature (K): {fluid.temperature}")
st.sidebar.markdown(f"Concentration[s] ($M / dm^3$): {fluid.concentration}")
# st.sidebar.latex(... | Mjboothaus/PhD-Thesis | src/sidebar.py | sidebar.py | py | 1,248 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "streamlit.sidebar.markdown",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "streamlit.sidebar",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "streamlit.sidebar.markdown",
"line_number": 7,
"usage_type": "call"
},
{
"api_nam... |
44813859070 | """Day 3"""
from typing import Tuple
from aoc.shared import read_file_lines, group_into
lines = read_file_lines("year_2022/input_03.txt")
def get_contents() -> Tuple[str, str]:
output = []
for line in lines:
length = int(len(line) / 2)
output.append((line[:length], line[length:]))
return... | dalemyers/Advent-of-Code | aoc/year_2022/day_03.py | day_03.py | py | 1,121 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "aoc.shared.read_file_lines",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "typing.Tuple",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "aoc.shared.group_into",
"line_number": 41,
"usage_type": "call"
}
] |
19820200198 | """
Creates an artificial genome from a dataset file.
This method of producing a sequence of desired targets is based on code provided
in the supplementary information of Bradford and Perrin (2019).
"""
import consts
import common
from utils.datasets import DATASETS
# The default length of lines in the ... | sivan-bhaim/CrisprMethodCombinations | work_dir/scripts/prep/generate_artificial_genome.py | generate_artificial_genome.py | py | 2,589 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "common.default_parser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "consts.TARGET_LEN",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "utils.datasets.DATASETS",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "... |
29842742083 | import torch
import numpy as np
from itertools import combinations
from sklearn.decomposition import PCA
from scipy.stats import pearsonr
def analyze_episodic(model, test_data, args):
# Collect attention weights for each sample in test set
model.eval()
m, x_ = test_data[0] # only 1 episode in test data
... | MaryZolfaghar/CSLS | analyze.py | analyze.py | py | 5,433 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.long",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.no_grad",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.squeeze",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"l... |
14973086418 | import torch
import argparse
import sys
# todo: support more model class
from transformers import AutoModel, AutoModelForCausalLM, AutoTokenizer, AutoConfig
from transformers import TextIteratorStreamer
from transformers.tools.agents import StopSequenceCriteria
from transformers.generation.stopping_criteria import Sto... | shaline-koh/BigDL | python/llm/portable-zip/chat.py | chat.py | py | 5,983 | python | en | code | null | github-code | 18 | [
{
"api_name": "colorama.Fore.BLUE",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "colorama.Fore.RESET",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "torch.... |
39684688124 | import matplotlib.pyplot as plt
import torch
from sklearn.metrics import auc, roc_curve, precision_recall_curve
import numpy as np
def test(dataloader, model, args, viz, device):
with torch.no_grad():
model.eval()
pred = torch.zeros(0, device=device)
for i, input in enumerate(dataloader):
... | marctimjen/Weakly-supervised-anomaly-detection | test/test_10crop.py | test_10crop.py | py | 2,307 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "torch.no_grad",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.zeros",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.squeeze",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.mean",
"line_number":... |
40911895539 | import torch
import math
import numpy as np
import torch.nn.functional as F
from einops import rearrange
class Conv_Token_Emb(torch.nn.Module):
def __init__(self, in_channel, emb_dim, k_size, stride, padding):
super(Conv_Token_Emb, self).__init__()
self.conv = torch.nn.Conv2d(in_channels = in_channel, out_ch... | chaoyufeng93/CvT-Transformer | model.py | model.py | py | 7,829 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Conv2d",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.LayerNorm",
"... |
6289142334 | import mmcv
import os.path as osp
import numpy as np
import sys
from tqdm import tqdm
from detectron2.data import DatasetCatalog, MetadataCatalog
from detectron2.structures import BoxMode
import torch
cur_dir = osp.dirname(osp.abspath(__file__))
sys.path.insert(0, osp.join(cur_dir, "../../../../"))
from lib.vis_utils... | shanice-l/gdrnpp_bop2022 | core/gdrn_modeling/tools/lmo/lmo_2_vis_poses.py | lmo_2_vis_poses.py | py | 8,363 | python | en | code | 145 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "os.path.abspath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path.insert",
"line_n... |
22880126145 | from ryu.base import app_manager
from ryu.ofproto import ofproto_v1_3
from ryu.controller import ofp_event
from ryu.controller.handler import MAIN_DISPATCHER,CONFIG_DISPATCHER
from ryu.controller.handler import set_ev_cls
from ryu.topology.api import get_switch, get_link, get_host,get_all_host
from ryu.lib.packet imp... | TsaiChuWang/Labor | 112_Aug_Orientierung/D-Making_a_Routing_Decision/self_host_learning.py | self_host_learning.py | py | 18,237 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "ryu.base.app_manager.RyuApp",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "ryu.base.app_manager",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "ryu.ofproto.ofproto_v1_3.OFP_VERSION",
"line_number": 19,
"usage_type": "attribute"... |
12260248246 | from django import forms
from django.utils.translation import gettext_lazy as _
from .models import Picture
class PictureForm(forms.ModelForm):
class Meta:
model = Picture
fields = ('market',
'content',
)
labels = {
'market': _('Supermercad... | Pedrexus/Vision1500 | analysis/forms.py | forms.py | py | 630 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "models.Picture",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.utils.tra... |
42129282114 | import datetime
import glob
import logging
import os
import re
import shutil
import stat
import syslog
from typing import Callable, Dict, Iterable, List, Optional, Tuple, Union, TYPE_CHECKING
from rhsm.config import get_config_parser
from rhsm.certificate import Key, CertificateException, create_from_pem
import subs... | candlepin/subscription-manager | src/subscription_manager/managerlib.py | managerlib.py | py | 37,346 | python | en | code | 61 | github-code | 18 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 46,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "rhsm.config.get_config_parser",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "... |
30109893958 | import json
import logging
import os
from collections import namedtuple
from qgis.core import QgsMessageLog, Qgis
from .kwg_sparqlutil import kwg_sparqlutil
class kwg_sparqlquery:
def __init__(self):
self.logger = logging.getLogger()
self.logger.setLevel(logging.DEBUG)
self.sparqlUTIL ... | KnowWhereGraph/geoenrichment-qgis | kwg_geoenrichment/kwg_sparqlquery.py | kwg_sparqlquery.py | py | 22,169 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "kwg_sparqlutil.kwg_sparqlutil",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os... |
39807397680 | import json
from chatterbot import ChatBot
from chatterbot.trainers import ListTrainer
from chatterbot.trainers import ChatterBotCorpusTrainer
import os
import openai
import config
import dynamodb
from User import User
openai.api_key = os.environ['OPENAI_API_KEY']
FINAL_MESSAGE = 'gotta go will talk later'
with open... | marie-debug/message-assistant | bot.py | bot.py | py | 7,758 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "openai.api_key",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "chatterbot.ChatBot",
... |
71427042600 | import numpy as np
import pandas as pd
import cv2
import seaborn as sns
from matplotlib import pyplot as plt
## load two csv files
df = pd.read_csv('../input/tuning_labels.csv', header=None,
names=['img_id', 'labels'])
description = pd.read_csv('../input/class-descriptions.csv')
## make a dictiona... | aorursy/new-nb-3 | hanriver0618_test-image-visualization.py | hanriver0618_test-image-visualization.py | py | 1,914 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "seaborn.countplot",
... |
37975526509 | #
# 따라하며 배우는 파이썬과 데이터과학(생능출판사 2020)
# 심화문제 풀이, 302쪽
#
import matplotlib.pyplot as plt
fig, ax = plt.subplots(1, 4, figsize=(10, 3))
x = [x for x in range(7, 13)]
y = [456, 492, 578, 599, 670, 854]
ax[0].bar(x, y)
ax[1].plot(x, y)
ax[2].scatter(x, y)
ax[3].barh(x, y)
plt.show() | smokypine/Python | 데이터시각화 자료01/exercise_11_1_2.py | exercise_11_1_2.py | py | 338 | python | ko | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "mat... |
12830280766 | import pandas as pd
from pandas.plotting import scatter_matrix
import seaborn as sns; sns.set(context = 'paper', style = 'whitegrid')
import matplotlib.pyplot as plt
import numpy as np
from itertools import chain
from pprint import pprint
#Part 1
A = pd.read_excel("A.xlsx")
B = pd.read_excel("B.xlsx")
C = pd.read_exce... | Fabiannemazi/Dat200 | Compulsory Assignment 1/Solution/CA1.py | CA1.py | py | 2,220 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "seaborn.set",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_excel",
... |
20093821625 | import re
import requests
def get_url_from_user():
url = input("enter url:")
print("you entered %s" % url)
return url
def get_webpage_from_url(url):
webpage = requests.get(url)
html_bytes = webpage.content
html_string = html_bytes.decode('UTF-8')
return html_string
def get_img_from_we... | itsadid/scripts | crawler.py | crawler.py | py | 982 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 25,
"usage_type": "call"
}
] |
15504079065 | import uuid
from CBLClient.Client import Client
from CBLClient.Collection import Collection
from CBLClient.Args import Args
from keywords.utils import log_info
from keywords import types
from libraries.data import doc_generators
from .Document import Document
from keywords import attachment
class Database(object):
... | couchbaselabs/mobile-testkit | CBLClient/Database.py | Database.py | py | 18,286 | python | en | code | 14 | github-code | 18 | [
{
"api_name": "CBLClient.Client.Client",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "CBLClient.Collection.Collection",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "CBLClient.Args.Args",
"line_number": 28,
"usage_type": "call"
},
{
"api_n... |
21105979854 | from collections import namedtuple
import cerberus
import torch
from ._utils import static_vars
LEARNING_RATE_IO_DESCRIPTION_NAME = "__learning_rate"
ALL_FINITE_IO_DESCRIPTION_NAME = "__all_finite"
LOSS_SCALE_INPUT_IO_DESCRIPTION_NAME = "__loss_scale_input_name"
GRADIENT_ACCUMULATION_IO_DESCRIPTION_NAME = "__gradien... | microsoft/onnxruntime | orttraining/orttraining/python/training/model_desc_validation.py | model_desc_validation.py | py | 18,443 | python | en | code | 9,700 | github-code | 18 | [
{
"api_name": "cerberus.Validator",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "coll... |
24966508974 | import glob
from django.conf import settings
from ..device.models import Device
from ..train.models import CNNModel
from ..utils.aws_s3 import read_params_from_s3
from ..utils.storage import read_params_from_storage
def predict_image_path(image_path):
client = Device.objects.get(id=settings.CLIENT_ID)
model... | ductai26998/FL_for_medical_django | src/predict/predict.py | predict.py | py | 1,424 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "device.models.Device.objects.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "device.models.Device.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "device.models.Device",
"line_number": 12,
"usage_type": "name"
},
... |
23695395205 | from sklearn.linear_model import LogisticRegression
from sklearn.datasets import load_iris
from web_app.models import User , Tweet , db
# Will use the picke to load the file
import pickle
import os
#Path where the model will be saved
MODEL_PATH = os.path.join(os.path.dirname(__file__), os.path.pardir, "predictive_mod... | richardOlson/Twitoff-rich-olson | web_app/statsmodels.py | statsmodels.py | py | 1,855 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.load_iris",
... |
685721619 | import pygame
import sys
class Main:
def __init__(self, scr_size):
pygame.init()
pygame.freetype.init()
self.size = scr_size
self.screen = pygame.display.set_mode(self.size)
self.clock = pygame.time.Clock()
self.process_stopped = False
self.score = 0
def ... | nikitakreml/pygame_arkanoid | main.py | main.py | py | 583 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.freetype.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.freetype",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set... |
70988184040 | import sys
import os
from data.config import Config
from data.config import cfg
# 不要删除/home/zqr/data/test/下的目录
if __name__ == '__main__':
# 用来整理整个流程
# videosFolder 存放视频数据位置
# imagesFolder 视频帧存放位置
# opticalFolder 存放光流文件位置
# dataInfoPath 数据文件存放位置
# videosBboxPath 存放视频的bbox
# imagesFolder_160 存... | buptzqr/golfdbPipeline | pipeline.py | pipeline.py | py | 4,513 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "os.system",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 49,
"u... |
18067466051 | # -*- coding: utf-8 -*-
from django.conf.urls import patterns, include, url
from django.contrib import admin
admin.autodiscover()
# import views
from asset.views import *
from opsa.views import *
from installed.views import *
from deploy.views import *
from config.views import *
from api.views import *
from message.vi... | Elivis/opsa-master | opsa/urls.py | urls.py | py | 3,922 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "django.conf.urls.patterns",
"line_number": 15,
"usage_type": "call"
},
{
"ap... |
1342213504 | from pydriller import Modification,ModificationType
from pydriller import Commit
from os import path
import src.mining.CodeFeaturesMiners.constants_and_configs as constants_and_configs
from src.mining.CodeFeaturesMiners.AbstractMiner import AbstractMiner
class FileLevelFeatureMiner(AbstractMiner):
def __init__(s... | NewWwest/masters-project | src/mining/CodeFeaturesMiners/FileLevelFeatureMiner.py | FileLevelFeatureMiner.py | py | 10,266 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "src.mining.CodeFeaturesMiners.AbstractMiner.AbstractMiner",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pydriller.Modification",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pydriller.Modification",
"line_number": 28,
"usage_type":... |
32534646504 | from django.db.models import Q
from django.db.models.functions import Lower
from django.urls import reverse_lazy
from poll.models import Poll
from accomplishment.serializers import AccomplishmentSerializer
from uniklinik.mixins import DatatablesMixin
class PollDatatables(DatatablesMixin):
queryset = Poll.objects.... | memobijou/clinic-app | poll/datatables.py | datatables.py | py | 2,189 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "uniklinik.mixins.DatatablesMixin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "poll.models.Poll.objects.all",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "poll.models.Poll.objects",
"line_number": 10,
"usage_type": "attribute"
},... |
4349106365 | import os
import sys
import time
import wandb
import numpy as np
import torch
from torch.utils.data import DataLoader
from dataloader_from_numpy import STFTFeatureSet
from my_models import *
from torch.utils.tensorboard import SummaryWriter
from UniqueDraw import UniqueDraw
from utils import *
def compute_EER(sim_mat... | Keitoran75/PiezoBuds | train_extractor.py | train_extractor.py | py | 18,412 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.linspace",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 65,
"usage_type": "call"
},
{
"api_name":... |
74091433320 | from django.conf import settings
DEFAULT_SETTINGS = {
'ALLOW_VERSION_OVERWRITE': False,
'RELEASE_UPLOAD_TO': 'dists',
'OS_NAMES': (
("aix", "AIX"),
("beos", "BeOS"),
("debian", "Debian Linux"),
("dos", "DOS"),
("freebsd", "FreeBSD"),
("hpux", "HP/UX"),
... | callowayproject/callowaysite | apps/djangopypi/settings.py | settings.py | py | 6,261 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "django.conf.settings",
"line_number": 91,
"usage_type": "argument"
},
{
"api_name": "django.conf.settings",
"line_number": 94,
"usage_type": "argument"
},
{
"api_name": "django.conf.settings.DJANGOPYPI_ALLOW_VERSION_OVERWRITE",
"line_number": 95,
"usage_typ... |
31224845154 | import codecs
import io
import sys
import xml.sax
import xml.sax.saxutils
import xml.sax.xmlreader
import lxml.etree
class GenericXSLTTransformer:
def __init__(self, stylesheet):
self.loc = stylesheet
parsed = lxml.etree.parse(self.loc)
self.transform = lxml.etree.XSLT(parsed)
self... | bk2204/TenorSax | tenorsax/filters/xslt/__init__.py | __init__.py | py | 1,819 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "lxml.etree.etree.parse",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "lxml.etree.etree",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "lxml.etree",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "lxml.etree.et... |
30859650758 | import sys, os, argparse
import scad
from typing import List
def do_inline(src, dest, scad_paths):
try:
scad.inliner(src, dest, scad_paths)
except FileNotFoundError as e:
print(e)
print('Try to use the -op argument or set up the OPENSCADPATH environment variable')
def main() -> None:
... | JustinSDK/openscad_inliner | inline.py | inline.py | py | 876 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "scad.inliner",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"... |
13943596612 | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
print(setuptools.find_packages())
setuptools.setup(
name="TerraVide", # This is the name of the package
version="0.1.7", #release version
author="Sarang Pramode", ... | Sarang-Pramode/TerraVide | setup.py | setup.py | py | 1,253 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "setuptools.find_packages",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 16,
"usage_type": "call"
}
] |
18645302350 | import os
import json
import zipfile
from unittest import mock
@mock.patch.dict(os.environ, {"ROOT_FOLDER": os.path.dirname(os.path.realpath(__file__))})
def get_job_details():
root = os.getenv('ROOT_FOLDER', '')
"""Reads in metadata information about assets used by the algo"""
job = dict()
job['dids']... | romi99fr/ocean-algo | statistics.py | statistics.py | py | 2,214 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.getenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 15,
... |
7637564015 | from behave import *
import requests
import configparser
@given('the book details are given')
def stepimpl(context):
context.config = configparser.ConfigParser()
context.config.read('Utilities/properties.ini')
# print(type(config))
@when('Add Book API is executed')
def step_impl(context):
postresp =... | shobincj1/API-Automation--Python | features/steps/stepImplementation.py | stepImplementation.py | py | 707 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "configparser.ConfigParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 15,
"usage_type": "call"
}
] |
12841541274 | import os
import sys
from PIL import Image
from flask import Flask, render_template, request, url_for, redirect, flash, session, abort
from flask_admin import Admin
from flask_admin.contrib.sqla import ModelView
from sqlalchemy import func, or_
from sqlalchemy.exc import SQLAlchemyError
from werkzeug.utils import secu... | Alexander-Zadorozhnyy/CVProject | main.py | main.py | py | 10,091 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "config.SITE_DATABASE_NAME",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "config.CONTACTS_DATABASE_NAME",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "c... |
72772577321 | import sqlite3
cx = sqlite3.connect('banco.db') # sera criado um arquivo banco.db
cursor = cx.cursor() # cursor
# Criando tabela
# Aqui criamos os comandos sql
cursor.execute('''CREATE TABLE cliente
id INT PRIMARY KEY AUTOINCREMENT NOT NULL,
... | lucas198273/PROJETO-PYTHON-FLASK-SITE-BARBEARIA | AREA DE TESTES/Testesql.py | Testesql.py | py | 457 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
}
] |
32804203432 | import csv
from django.core.management.base import BaseCommand
from ...models import *
# Usage example: python manage.py import_from_csv IA "<filename.csv>"
class Command(BaseCommand):
help = "Load polling location data from a spreadsheet"
def add_arguments(self, parser):
parser.add_argument("stat... | Elizabeth-Warren/pollaris | backend/pollaris/app/management/commands/import_from_csv.py | import_from_csv.py | py | 1,509 | python | en | code | 70 | github-code | 18 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "csv.DictReader",
"line_number": 21,
"usage_type": "call"
}
] |
3988334156 | # -*- coding: utf-8 -*-
"""
Energy Calibration Analysis v3.1
Lukas Kostal, 14.11.2023, ICL
"""
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import scipy.optimize as so
import scipy.signal as ss
import scipy.interpolate as si
import scipy.odr as sr
import itertools as it
import datetime
# ... | KostalLukas/Characterisation-of-Low-Energy-Compton-Scattering | Analysis/Calibration Analysis.py | Calibration Analysis.py | py | 14,035 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.exp",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.float64",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number... |
19704791035 | import argparse
import os
import torch
from torch.utils.data import DataLoader
from egg import core
import neptune
from neptunecontrib.api.utils import get_filepaths
from compositionality.games import PretrainingmGameReinforce, PretrainingmGameGS, CompositionalGameGS, CompositionalGameReinforce
from compositionality.... | tomekkorbak/language-emergence-experiments | compositionality/main.py | main.py | py | 7,746 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "egg.core.init",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "egg.core",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"... |
17823953800 | import torch
import torch.nn as nn
from mmcv.cnn import ConvModule
from enseg.ops import resize
from enseg.models.builder import DECODE_SEG
from enseg.models.decode_gen.base import BaseGen
from enseg.models.decode_seg.psp_head import PPM
@DECODE_SEG.register_module()
class BackGen(BaseGen):
"""
输入是seg头的输出特征。... | TrellixVulnTeam/enseg_1S4Q | enseg/models/decode_gen/back_gen.py | back_gen.py | py | 3,766 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "enseg.models.decode_gen.base.BaseGen",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.nn.ModuleList",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "tor... |
318332353 | import logging
import logging.config
import os
import json
def setup_logging(default_path=os.path.dirname(os.path.realpath(__file__)) + "/../loggerConfiguration.json",
default_level=logging.INFO):
"""
Setup logging configuration
:param default_path: path to the logger configuration
... | smartshark/travisSHARK | travisshark/__init__.py | __init__.py | py | 684 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_n... |
16339366930 | # -*- encoding: utf-8 -*-
'''
@project : LeetCode
@File : largestNumber.py
@Contact : 9824373@qq.com
@Desc :
给定一组非负整数，重新排列它们的顺序使之组成一个最大的整数。
示例 1:
输入: [10,2]
输出: 210
示例 2:
输入: [3,30,34,5,9]
输出: 9534330
说明: 输出结果... | passionzhan/LeetCode | largestNumber.py | largestNumber.py | py | 1,505 | python | zh | code | 1 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "functools.cmp_to_key",
"line_number": 42,
"usage_type": "call"
}
] |
29079427511 | from fastapi import FastAPI
from fastapi.responses import HTMLResponse
from app.endpoints import calendar, oauth2
app = FastAPI()
app.include_router(oauth2.router)
app.include_router(calendar.router)
@app.get("/", response_class=HTMLResponse)
def index():
return """
<html>
<head>
<title>... | GonzaloSaad/sds_tpi | app/main.py | main.py | py | 542 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "app.endpoints",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "fastapi.FastAPI",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "app.endpoints.include_router",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "app.endpoints... |
22364375203 | #!/usr/bin/env python3.7
# coding: utf-8
from __future__ import unicode_literals
from ParsingShow import ParseRunInterfaceDeeperFile
from dictdiffer import diff
import pyparsing as pp
import argparse
from pprint import pprint
import pdb
import ntpath
import re
import sys
import yaml
import os.path,... | docteur2020/py3-priv | diffRunInterface.py | diffRunInterface.py | py | 3,135 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyparsing.Literal",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pyparsing.Word",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pyparsing.alphanums",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "pyparsing.O... |
43142309039 | from pyspark import Row
from pyspark.sql import SparkSession
from pyspark.sql.functions import expr, regexp_replace
class ProductDimension:
"""
Reads dim.csv and
"""
def __init__(self, spark_session):
self.spark = spark_session
self.sc = self.spark.sparkContext
def file_to_df(self):
dim_lines = self.sc... | rodrigolazarinigil/twtmillion_product_elasticsearch | product_dimension.py | product_dimension.py | py | 1,817 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pyspark.Row",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.expr",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.regexp_replace",
"line_number": 39,
"usage_type": "call"
},
{
"api_n... |
71981249639 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 6 13:49:48 2020
@author: Bruna
"""
import sys
import os
import sqlite3
from contextlib import closing
from classes import Item
from classes import Customer
conn = sqlite3.connect("project.sqlite")
conn.row_factory = sqlite3.Row
def connect():
global conn
if no... | brunabispo/shopping_cart | db.py | db.py | py | 1,756 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlite3.connect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sqlite3.Row",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.platform",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"... |
3271129118 | import os, sys
import subprocess
import argparse
from profiler.profile_op.op_cfg import config2str, str2config
from utils.cutlass_api import OperationArgs, find_cutlass_kernel
from utils.device_info import DEVICE_INFO, short_device_name, query_cc
import tensorflow as tf
parser = argparse.ArgumentParser(prog="Test")
... | joapolarbear/cdmpp | profiler/cutlass/cutlass_profiler.py | cutlass_profiler.py | py | 2,337 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.dtypes",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.dtypes",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": ... |
10883554738 | from django.shortcuts import render
from resumeApp.models import *
from resumeApp.forms import ContactForm
from django.core.mail import EmailMessage
from django.shortcuts import redirect
from django.template import Context
from django.template.loader import get_template
from django.contrib import messages
def... | patryan117/Django_Resume_Website | ResumeWebsite/resumeApp/views.py | views.py | py | 2,124 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.render",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "resumeApp.forms.ContactForm",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "django.template.loader.get_template",
"line_number": 37,
"usage_type": "call"
},
... |
28963114771 | import os
import affine
from tile2net.logger import logger
import shapely
from geopandas import GeoDataFrame, read_file, sjoin
import pandas as pd
import numpy as np
import rasterio
from shapely.geometry import mapping, shape
import skimage
from affine import Affine
import warnings
warnings.filterwarnings('ignore')
... | VIDA-NYU/tile2net | src/tile2net/raster/tile_utils/geodata_utils.py | geodata_utils.py | py | 10,994 | python | en | code | 108 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "geopandas.read_file",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "geopandas.GeoDataFrame",
"line_number": 68,
"usage_type": "name"
},
{
"api_name": "ge... |
74844847080 | import datetime
import json
import logging
import boto3
import custom_connector_sdk.connector.auth as auth
import custom_connector_sdk.connector.configuration as config
import custom_connector_sdk.connector.context as context
import custom_connector_sdk.connector.fields as fields
import custom_connector_sdk.connector.... | aws-samples/appflow-custom-connector-for-google-analytics4-realtimereport | lambda/index.py | index.py | py | 17,423 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "custom_connector_sdk.connector.context.Entity",
"line_number": 46,
"usage_type": "call"
},
{
... |
34048091541 | import json
import re
import types
import boto3
import botocore.exceptions
import botocore.errorfactory
from .lib import toiter, sip, jsonify
from .secrets import aws_credentials
from .secrets import (
AWS_DEFAULT_REGION
)
import tenacity
AWS_BATCH_SIZE = 10 # send_message_batch's max batch size is 10
class Clie... | seung-lab/python-task-queue | taskqueue/aws_queue_api.py | aws_queue_api.py | py | 5,305 | python | en | code | 28 | github-code | 18 | [
{
"api_name": "tenacity.retry",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tenacity.stop_after_attempt",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tenacity.wait_random_exponential",
"line_number": 25,
"usage_type": "call"
},
{
"api_n... |
73920616039 | from django.urls import include, re_path
from django.urls.conf import path
from ratings import views
app_name = 'ratings'
videopatterns = [
re_path(r'^switch$', views.switch_state, name='switch'),
re_path(r'^remove$', views.remove_like, name='remove'),
re_path(r'^dislike$', views.dislike_video, name='dis... | Zadigo/myyoutube | ratings/urls.py | urls.py | py | 675 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.urls.re_path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ratings.views.switch_state",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "ratings.views",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django... |
31251742465 | import pytest
import logging
from helpers import (
disable_and_delete_resource,
post_resource,
get_shared_service_id_by_name,
)
from resources import strings
LOGGER = logging.getLogger(__name__)
@pytest.mark.shared_services
async def test_patch_firewall(admin_token, verify):
template_name = strings... | maansi-1608/AzureTRE | e2e_tests/test_shared_services.py | test_shared_services.py | py | 4,320 | python | en | code | null | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "resources.strings.FIREWALL_SHARED_SERVICE",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "resources.strings",
"line_number": 17,
"usage_type": "name"
},
{
... |
36807722187 | from setuptools import setup
package_name = 'cv_basics'
setup(
name=package_name,
version='0.0.0',
packages=[package_name],
data_files=[
('share/ament_index/resource_index/packages',
['resource/' + package_name]),
('share/' + package_name, ['package.xml']),
],
insta... | sendoru/hyper-2023-winter-ros2 | setup.py | setup.py | py | 954 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "setuptools.setup",
"line_number": 5,
"usage_type": "call"
}
] |
70582486121 | import requests
from bs4 import BeautifulSoup
from selenium import webdriver
url = 'https://www.latam.com/es_ec/apps/personas/booking?country=ec&vuelos_fecha_salida_ddmmaaaa=06/12/2020&auAvailability=1&language=es&nadults=1&cabina=Y&ninfants=0&ida_vuelta=ida&fecha1_dia=06&fecha1_anomes=2020-12&from_city1=UIO&flex=1&to... | axlyaguana11/scraper-latam | web_scraper_con_selenium.py | web_scraper_con_selenium.py | py | 1,296 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "seleni... |
40347334650 | import cv2
import numpy as np
from PIL import Image
import math
def get_huan_by_circle(img, circle_center, radius, radius_width):
black_img = np.zeros((radius_width, int(2 * radius * math.pi), 3), dtype='uint8')
for row in range(0, black_img.shape[0]):
for col in range(0, black_img.shape[1]):
... | wangtianlong1994/Script-tool-library | 圆环变矩形.py | 圆环变矩形.py | py | 1,889 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "math.pi",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "math.sin",
"line_number": 13,... |
71348089000 | import kodinhenki.wemo.device
from xml.dom.minidom import parseString
import kodinhenki.compat as compat
urllib_request = compat.get_urllib_request()
urlopen = urllib_request.urlopen
urljoin = compat.get_urllib_parse().urljoin
import logging
_debug = logging.debug
_error = logging.error
s_ns = 'urn:Belkin:service-1... | fingon/kodin-henki | kodinhenki/wemo/service.py | service.py | py | 3,360 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "kodinhenki.compat.get_urllib_request",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "kodinhenki.compat",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "kodinhenki.compat.get_urllib_parse",
"line_number": 8,
"usage_type": "call"
},
{... |
40840314814 | # -*- coding: utf-8 -*-
"""
Created on Wed May 10 18:39:34 2023
@author: Abhi
"""
import re
from io import StringIO
import nltk
from pdfminer.high_level import extract_text
from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
from pdfminer.pdfdocument import PDFDocument
... | abhishek7997/cite-extract-python | file_utils.py | file_utils.py | py | 5,066 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pdfminer.high_level.extract_text",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "text_utils.TextUtils.unicode_to_ascii",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "text_utils.TextUtils",
"line_number": 48,
"usage_type": "name"
}... |
27626160464 | import os
import time
import argparse
import datetime
import numpy as np
import torch
import torch.optim as optim
from matplotlib import pyplot as plt
from torch.autograd import Variable
from torch.utils.data import DataLoader
from Models.actor import DRL4TSP
from Models.tsp.tspActor import NetworkTSP
from Models.tsp.t... | sofaki000/vehicle-routing-problem-with-deep-reinforcement-learning | mainTSP.py | mainTSP.py | py | 13,105 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.backends",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.backends",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_av... |
37254988491 | """init
Revision ID: 86800f0880ef
Revises:
Create Date: 2021-10-02 18:42:00.975844
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '86800f0880ef'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
op.create_table(
'user',
... | PHONGLEX/fastapi_pizzadelivery_api | app/alembic/versions/86800f0880ef_init.py | 86800f0880ef_init.py | py | 1,134 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "alembic.op.create_table",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
39616881291 | import os
import sys
from datetime import date
from unittest import TestCase
from dataclasses import dataclass
from typing import Dict, Union, List
from ktpocr import KTPExtractor, KTPIdentity
verbose = True if '-v' in sys.argv else False
ReportType = Dict[str, Union[float, bool]]
@dataclass
class TestResult:
... | chawza/ktpocr | test/test_image.py | test_image.py | py | 8,719 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "typing.Dict",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "ktpocr.KTPIdentity",
"line... |
13762225960 | from collections import namedtuple
#: Wrapper class for values that don't have to be quoted.
atom = namedtuple("atom", ("value",))
#: The set of characters that must be escaped before being sent as
#: Redis strings.
escapes = {
ord(b"\0"): rb"\x00",
ord(b"\n"): rb"\n",
ord(b"\r"): rb"\r",
ord(b"\\"): ... | kroketio/quart-session | quart_session/redis_trio/serialization.py | serialization.py | py | 1,031 | python | en | code | 22 | github-code | 18 | [
{
"api_name": "collections.namedtuple",
"line_number": 4,
"usage_type": "call"
}
] |
33826123669 | """
Part II: Take the data we just parsed and visualize it using
Python math libraries.
"""
from collections import Counter
import csv
import matplotlib.pyplot as plt
import numpy as np
import Parse
MY_FILE = "../data/sample_sfpd_incident_all.csv"
def visualize_days():
"""Visualize data by the day of week"""
... | mouryam/Data-Visualization | Graph.py | Graph.py | py | 2,461 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "Parse.parse",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyp... |
22109137247 | from django.conf.urls import url
from . import views # This line is new!
urlpatterns = [
url(r'^$', views.index),
url(r'^register$', views.register),
url(r'^login$', views.login),
url(r'^books$', views.user),
url(r'^books/add$', views.add),
url(r'^books/add_review$', views.add_review),... | proconsular/django | apps/belt_reviewer/urls.py | urls.py | py | 479 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.conf.urls.url",
"line_number": 4,
"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": "django.co... |
69821910759 | from pathlib import Path
import pandas as pd
from lmentry.constants import HOMOPHONES_PATH
from lmentry.scorers.homophone_scorer import HomophoneScorer
from lmentry.tasks.task import LMentryTask
class Homophones(LMentryTask):
scorer_cls = HomophoneScorer
def __init__(self, name="homophones"):
supe... | aviaefrat/lmentry | lmentry/tasks/homophones.py | homophones.py | py | 3,007 | python | en | code | 8 | github-code | 18 | [
{
"api_name": "lmentry.tasks.task.LMentryTask",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "lmentry.scorers.homophone_scorer.HomophoneScorer",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 22,
"usage_type": "name"
... |
72587828520 | """Criacao da tabela especialidade
Revision ID: 73ed255af28f
Revises:
Create Date: 2020-05-06 20:08:07.320767
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '73ed255af28f'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
op.cre... | gabrielmldantas/clinica_api | migrations/versions/73ed255af28f_criacao_da_tabela_especialidade.py | 73ed255af28f_criacao_da_tabela_especialidade.py | py | 613 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "alembic.op.create_table",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
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