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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
16638837739 | # !/usr/bin/python
# -*- coding: utf-8 -*-
"""
__author__ = 'qing.li'
"""
from django import template
from django.conf import settings
import re
from collections import OrderedDict
from django.conf import settings
register = template.Library()
@register.inclusion_tag('rbac/menu.html')
def menu(request):
menu_ord... | QingqinLi/nb_crm | rbac/templatetags/rabc.py | rabc.py | py | 2,027 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.template.Library",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "collections.OrderedDict",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "djang... |
10420483101 | """
.. moduleauthor:: Martí Congost <marti.congost@whads.com>
"""
from typing import Any, Optional, Set, Tuple
from httplib2 import Http
from base64 import urlsafe_b64encode
from json import loads, dumps
from cocktail.modeling import overrides
from .exceptions import CacheKeyError
from .cachekey import CacheKey
from ... | marticongost/cocktail | cocktail/caching/restcachestorage.py | restcachestorage.py | py | 4,258 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "cachestorage.CacheStorage",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "cacheserializer.CacheSerializer",
"line_number": 26,
"usage_type": "name"
},
{
"api_nam... |
7795341803 | import json
from random import randint
import ideas.utils as utils
IDEA_PATH = './ideas/ideas.json'
class Generator:
def __init__(self, context='general', keys=[]):
self.idea_path = IDEA_PATH
self.context = context
self.rand_items = []
with open(self.idea_path, 'r') as json_fil... | kjbyleni/My_Art_tools | ideas/generator.py | generator.py | py | 1,757 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number... |
779154686 | from typing import Annotated
from fastapi import APIRouter, Depends, status
from fastapi.encoders import jsonable_encoder
from fastapi.responses import JSONResponse
from pydantic_core import ValidationError
from readconnect.shared.domain.dtos.error_response_dto import ErrorResponse
from readconnect.shared.domain.exce... | YeisonKirax/readconnect-back | src/readconnect/auth/infrastructure/routes/auth_routes.py | auth_routes.py | py | 3,939 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "domain.dtos.login_request_dto.LoginRequestDTO",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "typing.Annotated",
"line_number": 33,
"usage_type": "name"
},
{
"... |
29918439800 | #Tarea 20, para lenguajes de programacion
import matplotlib.pyplot as plt
import numpy as np
print ("Minimos cuadrados")
print ("Este programa calcula la pendiente (m), la intercepcion(b) y el coeficiente de relacion(r) de una regresion lineal")
print ("¿Cuantos datos (en pares (x1,y1) se considera 1) desea evaluar? (m... | EdmundoD3/Ejercicios-de-Python | programas python parte 2/T20_Minimos_cuadrados.py | T20_Minimos_cuadrados.py | py | 2,290 | python | es | code | 0 | github-code | 6 | [
{
"api_name": "numpy.arange",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"... |
32129407183 | import json
import bitarray
from find_recipes_simple import process_recipe
import time
import sys
PROCESS_SIZE = 50000000
def execute_find_recipe(item_str, recipe_data):
if not item_str:
return 0, 0
hp_crit, hp, price = process_recipe(recipe_data, item_str)
# crit increases hp by 12, we just ne... | iTNTPiston/botw-recipe | dump/dump.py | dump.py | py | 4,729 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "find_recipes_simple.process_recipe",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.stdout.write",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 110,
"usage_type": "attribute"
},
{
"api_name": ... |
29510369443 | import pandas as pd
import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.model_selection import cross_val_predict
from sklearn.metrics import classification_report
data = pd.read_csv('./ner_dataset.csv', encoding='latin1')
data = data.fillna(method="ffill") # ffill前值填充，pfill后值填充
... | jiangq195/tanxin | starter_code1/NER/majority_voting.py | majority_voting.py | py | 1,532 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sklearn.base.BaseEstimator",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "sklearn.base.TransformerMixin",
"line_number": 17,
"usage_type": "name"
},
{
"api_name"... |
648044037 | import time
import h5py
from affogato.segmentation import InteractiveMWS
def debug():
z = 0
path = '/home/pape/Work/data/ilastik/mulastik/data/data.h5'
with h5py.File(path, 'r') as f:
# raw = f['raw'][z]
affs = f['prediction'][:, z]
strides = [4, 4]
offsets = [[-1, 0], [0, -1], [-... | constantinpape/affogato | example/interactive/debug.py | debug.py | py | 1,168 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "h5py.File",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "affogato.segmentation.InteractiveMWS",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.time",
... |
37370928668 | import torch
import torchvision
# post-processing
def handle_preds(preds, device, conf_thresh=0.25, nms_thresh=0.45):
total_bboxes, output_bboxes = [], []
# 将特征图转换为检测框的坐标
N, C, H, W = preds.shape
bboxes = torch.zeros((N, H, W, 6))
pred = preds.permute(0, 2, 3, 1)
# 前背景分类分支
pobj = pred[:, ... | Zhefan-Xu/onboard_detector | scripts/yolo_detector/utils/tool.py | tool.py | py | 2,179 | python | en | code | 9 | github-code | 6 | [
{
"api_name": "torch.zeros",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.meshgrid",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.arange",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_number"... |
31629715534 | from flask import Flask, render_template, redirect, request
from flask import Blueprint
from models.visit import Visit
import repositories.visit_repository as visit_repository
import repositories.country_repository as country_repository
import repositories.user_repository as user_repository
visits_blueprint = Bluepri... | paolaguerralibrero/bucket_list_python_project_w5 | controllers/visit_controller.py | visit_controller.py | py | 1,562 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "repositories.visit_repository.show_all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "repositories.visit_repository",
"line_number": 14,
"usage_type": "name"
},
{
... |
13543436023 | import pandas as pd
import numpy as np
import scipy.stats as stats
import pylab as pl
import re
import seaborn as sns
import matplotlib.pyplot as plt
import random
sns.set(font_scale = 1.5)
pd.set_option('display.max_columns', 15)
pd.set_option('display.max_rows', 40)
filepath = '\\Coding\\DataAnalystI... | avielchow/Property-Assessment-Analysis | Analysis.py | Analysis.py | py | 5,400 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "seaborn.set",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.set_option",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
71740452349 | #/usr/bin/env python
import yaml
import os, sys, re
import subprocess
import argparse
## Arguments
parser = argparse.ArgumentParser(description='Create a shared cuda.yml for docker-compose')
parser.add_argument('--gpu', '-g',
action='append',
dest='gpus',
default=[])
parser.add_argument('--verbose',
action='stor... | auser/docker-tensorflow-ipython-celery-rest-server | shared/create_cuda.py | create_cuda.py | py | 4,297 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.devnull",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "subprocess.ST... |
42913447777 | import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import matplotlib.cm as cm
import matplotlib.patches as mpatches
import json
import sys
from helpers.helpers_visualisation import get_colors
from scipy.misc import imread
import matplotlib.image as mpimg
... | elbuco1/AttentionMechanismsTrajectoryPrediction | src/visualization/classes/animation.py | animation.py | py | 7,151 | python | en | code | 49 | github-code | 6 | [
{
"api_name": "json.load",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 23,
... |
26041286196 | from __future__ import annotations
import itertools
import logging
import os
from typing import Callable, Iterable, cast
from packaging.utils import canonicalize_name as canonicalize_project_name
from pants.backend.python.goals.lockfile import synthetic_lockfile_target_name
from pants.backend.python.macros.common_fi... | pantsbuild/pants | src/python/pants/backend/python/macros/common_requirements_rule.py | common_requirements_rule.py | py | 6,084 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "typing.Callable",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "typing.Iterable",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "pants.util.pip_requ... |
6015616240 | #!/usr/bin/env python
#coding: utf-8
import asyncio
import yaml
import sys
from NetDevices import DeviceHandler
from git import Repo
import time
FILEPATH = "/root/device_cfg/"
async def get_config(device):
hostname = device.get("hostname")
conn = DeviceHandler(device)
conn.connect()
await conn.login()... | netdevops-engineer/newbie_book | Chapter13/Chapter13/Device.asyncio/Device6.py | Device6.py | py | 989 | python | en | code | 36 | github-code | 6 | [
{
"api_name": "NetDevices.DeviceHandler",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "yaml.load",
"line... |
34075662644 | import random
import sys
from UI import Ui_MainWindow
from PyQt5.QtCore import QPoint, QRect
from PyQt5.QtGui import QPainter, QColor
from PyQt5.QtWidgets import QApplication, QWidget, QMainWindow
MAX_X = MAX_Y = 400
class MyWidget(QMainWindow, Ui_MainWindow):
def __init__(self):
super().__init__()
... | Orisphera/random-circles | main.py | main.py | py | 1,188 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "UI.Ui_MainWindow",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.ra... |
4756037188 | """This module provides the CLI for the wrangle-ukds-trade-directories app."""
from . import __app_name__
import argparse
from pathlib import Path
def typecast_args(args):
args.input = Path(args.input)
args.output = Path(args.output)
return args
def test_args(args):
if not Path(args.input).is_dir(... | Living-with-machines/wrangle-ukds-trade-directories | wrangle_ukds_trade_directories/argparse.py | argparse.py | py | 1,285 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number... |
15169976693 | from typing import List
from fastapi_utils.inferring_router import InferringRouter
from sqlalchemy.ext.asyncio import AsyncSession
from fastapi import Depends, Request
from admins.models import Category
from crud_handler import BaseHandler
from database import get_async_session
from fastapi_utils.cbv import cbv
from ... | AlexeyShakov/helpdesk_fast_api | src/staff/endpoints.py | endpoints.py | py | 3,364 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi_utils.inferring_router.InferringRouter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "fastapi_utils.inferring_router.InferringRouter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "crud_handler.BaseHandler",
"line_number": 25,
... |
7318961586 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^modules/$', views.modules, name='modules'),
url(r'^module/(?P<module>\w+)/list$', views.module_list, name='module_list'),
url(r'^module/(?P<module>\w+)/detail/(?P<id>[\w-]+)/$',
v... | sanchezfauste/bPortal | portal/urls.py | urls.py | py | 2,424 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.co... |
12237739567 | import tensorflow as tf
import numpy as np
tf.enable_eager_execution()
# Dataset
import tensorflow_datasets as tfds
# Constants to eventually parameterise
LOGDIR = './logs/autoencoder_gg/'
# Activation function to use for layers
act_func = tf.nn.tanh
# Enable or disable GPU
SESS_CONFIG = tf.ConfigProto(device_coun... | bfakhri/TensorflowEager | autoencoder.py | autoencoder.py | py | 7,158 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "tensorflow.enable_eager_execution",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "tensorflow.nn",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.ConfigProto",
"line_number": 16,
"usage_type": "call"
},
{
"api_na... |
6484230311 | import os
import shutil
import subprocess
from pathlib import Path
import numpy as np
from PIL import Image, ImageOps
from lib import BruteForce, database
from .utils import timeit
MAX_RATIO = 0.90 # 0.60
MIN_RATIO = 0
# PARAM FOR THE RADIOMETRIC APPROACH
# Try to normalize respect mean and std to reject static fr... | franioli/COLMAP_SLAM | lib/static_rejection.py | static_rejection.py | py | 11,514 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pathlib.Path",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": ... |
3081253994 | # -*- coding: utf-8 -*
"""Input
.. module:: input
:synopsis: Module for processing input
"""
import resoncalc.output as output
import resoncalc.detection as detection
from argparse import ArgumentParser
from os import path
from json import load, JSONDecodeError
def process_command():
"""Process command
... | hydratk/resoncalc | src/resoncalc/input.py | input.py | py | 3,159 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "resoncalc.output.log_level",
"line_number": 49,
"usage_type": "attribute"
},
{
"api_name": "resoncalc.output",
"line_number": 49,
"usage_type": "name"
},
{
"api_name... |
27535933658 | import torch
from torch import nn
import torch.nn.functional as F
from timm.models.layers import to_2tuple, DropPath, trunc_normal_
import math
class Mlp(nn.Module):
def __init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.):
super().__init__()
out_feature... | fym1057726877/Defense | TransGAN/TransGanModel.py | TransGanModel.py | py | 26,999 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch.nn.GELU",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_nu... |
17168418038 | import json
import re
from urllib import request
import requests
from panopto_oauth2 import PanoptoOAuth2
server = "sph.hosted.panopto.com"
client_id = "29bd20b2-fd78-4bdd-9c40-af7a0133c139"
client_secret = "oZVXzyYlRQun/+xrxaItsdSDm1n7Np6rNqlmjHjgcyQ="
def read_coursera_to_time_sentence(input_path, video_id):
w... | Zhou-Xun/panopto_video_extraction | convert_caption_url.py | convert_caption_url.py | py | 4,773 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "re.sub",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 115,
"usage_type": "call"
}
] |
4592746162 | __all__ = [
'Canceled',
'DuplicateDestinationError',
'Record',
'get_download_manager',
]
import os
import dbus
import logging
from collections import namedtuple
from io import StringIO
from pprint import pformat
try:
import pycurl
except ImportError: # pragma:... | ubports/system-image | systemimage/download.py | download.py | py | 9,745 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pprint.pformat",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "io.StringIO",... |
43987707276 | # test CurlypivSetup
"""
Notes about program
"""
# 1.0 import modules
import numpy as np
# plotting
import matplotlib.pyplot as plt
import matplotlib
from matplotlib import colors
import matplotlib.image as mgimg
from matplotlib import animation
from mpl_toolkits.axes_grid1.anchored_artists import AnchoredSizeBar
mat... | sean-mackenzie/curlypiv | curlypiv/CurlypivPIVSetup.py | CurlypivPIVSetup.py | py | 7,120 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.font_manager.FontProperties",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.font_manager",
"line_number": 18,
"usage_type": "name"
},
... |
29047649100 | import atexit
import os
import re
import shutil
import subprocess
import sys
import tempfile
def usage():
sys.stderr.write('Usage: {} [-h] -d <directory> [-b <bitrate>]\n'.format(sys.argv[0]))
sys.stderr.write(' -h display help\n')
sys.stderr.write(' -b bitrate [32-320, default 192]\n')
sys.stderr... | eskaton/py-ripcd | ripcd.py | ripcd.py | py | 3,527 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.stderr.write",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr.write",
... |
43633170723 |
from __future__ import absolute_import
import logging
import math
#typing
import torch
import torch.nn.functional as F
#overrides
from allennlp.data import Vocabulary
from allennlp.models.model import Model
from allennlp.modules.token_embedders import Embedding
from allennlp.modules import FeedForward
from allennlp.... | plasticityai/magnitude | pymagnitude/third_party/allennlp/models/coreference_resolution/coref.py | coref.py | py | 32,507 | python | en | code | 1,607 | github-code | 6 | [
{
"api_name": "itertools.izip",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "allennlp.models.model.Model",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "allennlp... |
73928144189 | import django_rq
import logging
from datetime import datetime, timedelta
import time
from django.core.management.base import BaseCommand
from django_rq import job
from reviews.models import Review
#@job
def get_count_reviews():
logger = logging.getLogger('counter')
count = Review.objects.count()
time.sle... | idesu/review_moderation_lite | reviews/management/commands/log.py | log.py | py | 881 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "reviews.models.Review.objects.count",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "reviews.models.Review.objects",
"line_number": 14,
"usage_type": "attribute"
},
... |
20001859716 | from nltk.stem import WordNetLemmatizer
import re
from nltk.tokenize import word_tokenize, sent_tokenize
def myTokenizer(readFileDir, saveFileDir, stopwords, lim):
readFile = open(readFileDir, "r", encoding="UTF8")
saveFile = open(saveFileDir, "w", encoding="UTF8")
preprocessed = []
lemmatizer = WordNe... | jkjan/NLP | Word2VecSkip-Gram/myTokenizer.py | myTokenizer.py | py | 1,370 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.stem.WordNetLemmatizer",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.sent_tokenize",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "nltk.to... |
27082652563 | import time
from datetime import timedelta
import requests
from celery import Celery
from celery.utils.log import get_task_logger
app = Celery('parsing')
app.conf.update(broker_url='amqp://guest:guest@rabbitmq:5672', broker_connection_retry_on_startup=True)
app.conf.beat_schedule = {
'add-every-monday-morning': {... | puplishe/testproject | fastapi1/celery/celery.py | celery.py | py | 654 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "celery.Celery",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "celery.utils.log.get_task_logger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "time... |
26495796671 | from django.contrib import admin,messages
from .models import *
from inline_actions.admin import InlineActionsModelAdminMixin
from commun.util import Util
from django.utils.translation import ugettext_lazy as _
from django.conf import settings
media_root = settings.MEDIA_ROOT
admin.site.site_header = "Administration E... | bofilio/erp-backend | couriers/admin.py | admin.py | py | 2,740 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.conf.settings.MEDIA_ROOT",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 9,
"usage_type": "attribute"
},
{
... |
20571972816 | from ply.lex import LexToken
from windyquery.validator import ValidationError
from ._base import Base
TOKEN = 'SCHEMA'
class SchemaToken(LexToken):
def __init__(self, value):
self.type = TOKEN
self.value = value
self.lineno = 0
self.lexpos = 0
class Schema(Base):
def schema... | bluerelay/windyquery | windyquery/collector/schema.py | schema.py | py | 540 | python | en | code | 68 | github-code | 6 | [
{
"api_name": "ply.lex.LexToken",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "_base.Base",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "windyquery.validator.ValidationError",
"line_number": 21,
"usage_type": "name"
}
] |
15018836415 | import tkinter as tk
import customtkinter as ctk
from customtkinter import ThemeManager
from View.GUI.CustomWidgets.NotebookCloseableTabs import NotebookCloseableTabs
from View.GUI.Windows.ResultWindow.ComputationStatusBoard import ComputationStatusBoard
from View.Observer import Observer
class ComputationNotebook(... | Moni5656/npba | View/GUI/Windows/ResultWindow/ComputationNotebook.py | ComputationNotebook.py | py | 2,306 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "View.GUI.CustomWidgets.NotebookCloseableTabs.NotebookCloseableTabs",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "View.Observer.Observer",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "customtkinter.ThemeManager.theme",
"line_number": 1... |
18187153319 | import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
t = np.linspace(0, 2*np.pi, 20)
p = np.linspace(0, np.pi, 10)
theta,phi = np.meshgrid(t,p)
x = np.cos(theta)*np.sin(phi)
y = np.sin(theta)*np.sin(phi)
z = np.cos(phi)
fig = plt.figure(figsize=(10,4))
ax1 = fig.add_subplot(1... | notmatthancock/notmatthancock.github.io | code/py/sphere-sampling/sphere-uniform-theta-phi.py | sphere-uniform-theta-phi.py | py | 524 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.linspace",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number"... |
28130211082 | ## import that shit babyyy
from PyQt5.QtWidgets import QApplication, QWidget, QVBoxLayout, QLabel, QPushButton,QStackedWidget,QScrollArea, QProgressBar, QHBoxLayout, QLineEdit
from PyQt5.QtCore import QObject, QThread, pyqtSignal,Qt
# from pyqtgraph import PlotWidget, plot
import pyqtgraph as pg
from os.path impor... | BadCodeswJamie/Sponitor | sponitor.py | sponitor.py | py | 68,332 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QVBoxLayout",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 21,
"usage_type": "call"
},
{
"api_na... |
38858291652 | """
Place to register all blueprints
"""
def customize_social_auth():
"""
Customize certain routes of social auth
"""
from datetime import datetime
from flask import Blueprint, current_app, g
from flask_user import login_required, signals
from social_core.actions import do_auth, do_comple... | Vixx-X/ati-project | src/backend/blueprints.py | blueprints.py | py | 2,801 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "social_flask.routes.do_login",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": ... |
42295145901 | import geopy
bairros_list = [
"Boa Vista",
"Bom Pastor",
"Centro",
"Granbery",
"Jardim Glória",
"Santa Helena",
"São Mateus",
"Teixeiras",
"Bairu",
"Bonfim",
"Botanágua",
"Centenário",
"Cesário Alvim",
"Graj... | igortitoneli/Api_Vitrine | bairro_location.py | bairro_location.py | py | 2,455 | python | is | code | 0 | github-code | 6 | [
{
"api_name": "geopy.geocoders.Nominatim",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "geopy.geocoders",
"line_number": 88,
"usage_type": "attribute"
}
] |
14974723036 | import torch
import torch.nn as nn
from torch_geometric.loader import DataLoader
from torch_geometric.data import Data, Batch
from torch.utils.data import Dataset
import torch_geometric.transforms as T
from torch_geometric.nn import GATConv
import torch.nn.functional as F
class GATNet(torch.nn.Module):
def __init_... | mo7amed7assan1911/Floor_Plan_Generation_using_GNNs | model.py | model.py | py | 5,015 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch_geometric.nn.GATConv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch_geometric.nn.GATConv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "t... |
25457066690 | import telegram
from twilio.rest import Client
from twilio.base.exceptions import TwilioRestException
import threading
class MessageSender:
def __init__(self, config):
self.lock = threading.Lock()
self.telegram_bot = None
if config["telegram"] is not None:
self.telegram_chat_id ... | wanmeihuali/Agressive-Store-Bots | MessageSender.py | MessageSender.py | py | 1,434 | python | en | code | null | github-code | 6 | [
{
"api_name": "threading.Lock",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "telegram.Bot",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "twilio.rest.Client",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "twilio.base.exceptions.... |
16539466565 | # -*- coding: utf-8 -*-
"""Главный и единственный модуль в игре.
Игра специально написана в минималистичном стиле, мне
хотелось воплотить текстовый движок настолько лаконично,
насколько это вообще возможно.
Подкладывая этому скрипту различные json с метаданными, можно
запускать произвольные текстовые истории.
"""
im... | IgorZyktin/BGCGame | game/__main__.py | __main__.py | py | 6,720 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "typing.NewType",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.NewType",
"line_numb... |
9499182379 | import torch
from torch import nn
from torch.utils.data import DataLoader
from torchvision import datasets
from torchvision.transforms import ToTensor
# 공개 데이터셋에서 학습 데이터를 내려받습니다.
training_data = datasets.FashionMNIST(
root="Fashion_MNIST_Data",
train=True,
download=True,
transform=ToTensor(),
)
# 공개 데이터셋에서 테스... | hotsoycandy/learn-pytorch | train.py | train.py | py | 2,907 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torchvision.datasets.FashionMNIST",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torchvision.datasets",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 12,
"usage_type": "call"
},
{
... |
5544798991 | from common import execute_sh
from retry import retry
import os
import logging
import json
"""
Issue kubectl commands on the running linode cluster
"""
WEATHER_API_TOKEN = os.environ.get("WEATHER_API_TOKEN")
KUBERNETES_NODE_COUNT = "2"
@retry(tries=60, delay=30)
def get_nodes():
# Verify kubectl is communicatin... | HarrisKirk/blue-green-dreams | gwa-deploy/kubectl.py | kubectl.py | py | 2,558 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "os.environ.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "common.execute_sh",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.loads",
"li... |
10899943389 | import cv2
import numpy as np
from keras.models import load_model
image = cv2 .imread("Bore2.jpg",0)
image = cv2.resize(image, (48, 48))
image = image[..., np.newaxis]
# dst = np.expand_dims(image, axis=1)
print(image.shape)
# exit()
model = load_model("model_v6_23.hdf5")
predicted_class = np.argmax(model.predict(i... | hassanahmed95/My_True_Face | ML_training/test_file.py | test_file.py | py | 1,134 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.newaxis",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "keras.models.load_model",
"... |
655272067 | import os
import napari
import z5py
def view_result(sample, checkpoint_name):
halo = [25, 512, 512]
path = f'./data/{sample}.n5'
with z5py.File(path, 'r') as f:
ds = f['raw']
bb = tuple(slice(max(sh // 2 - ha, 0),
min(sh // 2 + ha, sh))
for sh, ... | constantinpape/torch-em | experiments/unet-segmentation/mitochondria-segmentation/mito-em/challenge/check_result.py | check_result.py | py | 2,239 | python | en | code | 42 | github-code | 6 | [
{
"api_name": "z5py.File",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "napari.gui_qt",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "napari.Viewer",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "os.path.split",
"line_numbe... |
25968013406 | import argparse
import time
from threading import Thread
import requests
class RequestThread(Thread):
def __init__(self, url):
self.url = url
super(RequestThread, self).__init__(target=self.make_request)
def make_request(self):
requests.get(self.url)
class Worker(object):
def _... | wgaggioli/elk-example | threaded_requests.py | threaded_requests.py | py | 1,602 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "threading.Thread",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
... |
6771398570 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import pymysql
class ProxyPoolCrawlerPipeline(object):
def process_item(self, item, spider):
return item
# 存储到mys... | ShawnRong/proxy-pool-crawler | proxy_pool_crawler/pipelines.py | pipelines.py | py | 2,136 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymysql.connect",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pymysql.cursors",
"line_number": 48,
"usage_type": "attribute"
}
] |
22257701787 | """Filters module with a class to manage filters/algorithms for polydata datasets."""
import collections.abc
import logging
import numpy as np
import pyvista
from pyvista import (
abstract_class, _vtk, NORMALS, generate_plane, assert_empty_kwargs, vtk_id_list_to_array, get_array
)
from pyvista.core.errors import ... | rohankumardubey/pyvista | pyvista/core/filters/poly_data.py | poly_data.py | py | 77,050 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pyvista.core.filters.data_set.DataSetFilters",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pyvista.PolyData",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "pyvista.PolyData",
"line_number": 30,
"usage_type": "call"
},
{
... |
26829757478 | #!/usr/bin/python
import json
import utils
import logging
import os
import subprocess
import smt_encoding
import pysmt.shortcuts
import re
import requests
import core_data
import hyportage_pattern
import hyportage_db
from pysmt.smtlib.parser import SmtLib20Parser
import cStringIO
"""
This file contains all the f... | HyVar/gentoo_to_mspl | host/scripts/reconfigure.py | reconfigure.py | py | 16,982 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "utils.get_new_temp_file",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "utils.phase_start",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen"... |
31228319050 | #coding=utf-8
from thuproxy.alipay_api import *
from thuproxy.proxy_account_views import *
import datetime
import uuid
import urllib.request
from django.views.decorators.csrf import csrf_exempt
from django.contrib.auth.decorators import login_required
from django.http import HttpResponse, HttpResponseRedirect
from djan... | flyz1360/scholarcloud | thuproxy/pay_views.py | pay_views.py | py | 14,990 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 31,
"usage_type": ... |
11047387601 | from astropy.wcs.utils import wcs_to_celestial_frame as wcs
from astropy.coordinates import SkyCoord
import astropy.units as u
from scipy import ndimage
import numpy as np
import math as m
__author__ = "Norbert Gyenge"
__email__ = "n.g.gyenge@sheffield.ac.uk"
def Sunspot_coord(photosphere_full, dx, dy, spot):
''... | gyengen/SheffieldSolarCatalog | engine/ssc/sunspot/coordinates.py | coordinates.py | py | 2,040 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "scipy.ndimage.measurements.center_of_mass",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "scipy.ndimage.measurements",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "scipy.ndimage",
"line_number": 36,
"usage_type": "name"
},
... |
12168811050 | # import requests module
import requests
import logging
import time
# Setting up Logging
logging.basicConfig(level = logging.INFO)
logger = logging.getLogger()
# URL
url = "https://google.com"
# Make request method
def make_request(url):
logging.info("Fetching URL")
try:
response = requests.get(url... | tolkiger/terraform-ecs-fargate-cicd-pipeline | monitoring.py | monitoring.py | py | 891 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.info",
... |
32644440027 | """Shifters Rig Main class."""
import datetime
import getpass
import os.path
import sys
import json
# Maya
import pymel.core as pm
from pymel.core import datatypes
from pymel import versions
# mgear
import mgear
import mgear.core.utils
from . import guide, component
from mgear.core import primitive, attribute, skin,... | mgear-dev/mgear4 | release/scripts/mgear/shifter/__init__.py | __init__.py | py | 31,325 | python | en | code | 209 | github-code | 6 | [
{
"api_name": "sys.version_info",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "pymel.core.pluginInfo",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pymel.core",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "pymel.core.loa... |
43627424884 | from typing import List
class Solution:
def numOfMinutes(self, n: int, headID: int, manager: List[int], informTime: List[int]) -> int:
employees = {}
for i, m in enumerate(manager):
if i != headID:
employees[m] = employees.get(m, []) + [i]
queue = [[headID, info... | MichaelTQ/LeetcodePythonProject | solutions/leetcode_1351_1400/LeetCode1376_TimeNeededToInformAllEmployees.py | LeetCode1376_TimeNeededToInformAllEmployees.py | py | 1,290 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
31994054521 | #coding: utf-8
import json, random, os
import hashlib
import requests
from flask_babel import _
from webapp import app
#利用百度翻译API提供文本翻译
def translate(text, source_language, dest_language):
if 'BD_TRANSLATOR_KEY' not in app.config or not app.config['BD_TRANSLATOR_KEY']:
return _('Error: the translation ser... | huawenjin1995/Microblog | webapp/translate.py | translate.py | py | 1,421 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "webapp.app.config",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "webapp.app",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask_babel._",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "random.randint",
... |
36093046858 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
import unittest
import mock
from napixd.exceptions import InternalRequestFailed
from napixd.application import Napixd
from napixd.services.contexts import NapixdContext
from napixd.loader.loader import Loader, Load
from napixd.http... | napix/NapixServer | tests/test_application.py | test_application.py | py | 4,444 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "unittest.TestCase",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "mock.patch",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "mock.Mock",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "napixd.loader.loader.Load... |
3708389787 | import re
import redis
import pickle
import requests
from bs4 import BeautifulSoup
from dateutil.parser import parse
import errors
red = redis.StrictRedis(host='redis', port=6379, db=0)
try:
red.get('test')
except ConnectionError:
red = None
_POST_COMMENT_URL = \
'https://telopeapark.managebac.com/group... | samdroid-apps/ManageBacToTheFuture | lib/message.py | message.py | py | 6,140 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "redis.StrictRedis",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "re.search",
"lin... |
26423979164 | import numpy as np
import torch
import time
from torch.autograd import Variable
import torchvision.transforms as transforms
import torchvision.datasets as dsets
import collections
import torch.utils.data as data
class Model(torch.nn.Module):
def __init__(self, input_dim=784, output_dim=10):
... | WENLIXIAO-CS/FL-IoT-Demo | Fed-IoT-demo-lightly/Pytorch_Model.py | Pytorch_Model.py | py | 5,470 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Linear",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data.Dataset"... |
39312594943 | import os
import requests
from bs4 import BeautifulSoup, Tag
from collections import Counter
import re
import string
import nltk
from nltk.corpus import stopwords
from nltk.corpus import words
from nltk.tokenize import word_tokenize
from gensim.models import Word2Vec
import pandas as pd
import matplotlib.pyplot as plt
... | PhiloSolares/seo_analysis | seo_analysis_tool.py | seo_analysis_tool.py | py | 18,812 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "nltk.download",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "nltk.download",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "openai.api_key",
"line_... |
70945127228 | # remote DB 연동
import MySQLdb
import pandas as pd
import numpy as np
import ast
import csv
"""
config = {
'host':'127.0.0.1',
'user':'root',
'password':'123',
'database':'test',
'port':3306,
'charset':'utf8',
'use_unicode':True
}
"""
try: # db 읽는 방법
with open("mar... | kangmihee/EX_python | py_pandas_db/pack/pandas_db2.py | pandas_db2.py | py | 3,238 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "ast.literal_eval",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "MySQLdb.connect",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"li... |
36802074369 | #! /usr/bin/python3
import sqlite3
import pandas as pd
pd.set_option('display.max_columns', 500)
path = '/home/mayijun/CITI2017/'
# Calculate station days
conn = sqlite3.connect(path + 'CITI2017.sqlite3')
sql = """SELECT DISTINCT startstationid AS stationid,startdate AS date FROM trip WHERE startweekday NOT IN ('S... | NYCPlanning/td-citibike | 2017/stationdays.py | stationdays.py | py | 1,726 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.set_option",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql",
... |
31215041211 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('siteScrape', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='teacher',
name='aver... | anikan/Classify | migrations/0002_auto_20150910_1439.py | 0002_auto_20150910_1439.py | py | 755 | python | en | code | 0 | github-code | 6 | [
{
"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.AddField",
"line_number": 14,
"usage_type": "call"
},
{
... |
13956703300 | from django.db.models import Field
from . import forms
from . import validators
from .ipv6cidr import clean_ipv6_cidr
from django.utils.translation import gettext_lazy as _, ngettext_lazy
class GenericIPNetworkField(Field):
"""
Support CIDR input
ipv4 0.0.0.0/0
ipv6 ::::/0
"""
empty_strings_... | MilkBotttle/BFP | fields/cidr.py | cidr.py | py | 2,978 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Field",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.gettext_lazy",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "ipdb.set_trace",
"line_number": 55,
"usage_type": "call"
},
{
"api_na... |
26191759535 | import requests
import json
import re
import time
import csv
import MySQLdb as mdb
from bs4 import BeautifulSoup
import numpy as np
import pandas as pd
from helpers import *
"""
This script scrapes and stores the fantasy points achieved by each player for the 2013 season.
The data is stored in a .csv file.
"""
def mai... | kwheeler27/insight_datasci | data/actual_fantasy_pts.py | actual_fantasy_pts.py | py | 1,604 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "csv.writer",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_numbe... |
14839168624 | from django.contrib.auth import get_user_model
from django.shortcuts import get_object_or_404, render, redirect
from django.contrib.auth.decorators import login_required
from django.core.paginator import Paginator
from django.conf import settings
from .forms import PostForm, CommentForm
from .models import Post, Group... | Medbrat4669/yatube_project | yatube/posts/views.py | views.py | py | 4,552 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "models.User",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.core.paginator.Paginator",
"line_number": 14,
"usage_type": "call"
},
{
"ap... |
26682571553 | import sys
import os
import re
import logging
from PyQt5.QtWidgets import QApplication, QWidget, QVBoxLayout, QComboBox, QPushButton, QLabel, QFileDialog, QMainWindow, QMessageBox, QCheckBox
from gui import Ui_MainWindow
from function import *
project_file = ".project"
cproject_file = ".cproject"
recove... | maivananh111/stm-edf | tools/setup/setup.py | setup.py | py | 38,714 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.basicConfig",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "gui.Ui_MainWindow",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidge... |
27213329955 | import sys
from collections import deque
dx = [-1, 1, 0, 0]
dy = [0, 0, -1, 1]
INF = 1e9
N, M = map(int, sys.stdin.readline().rstrip().split())
maps = [list(map(int, sys.stdin.readline().rstrip().split())) for _ in range(N)]
hospital_comb = []
answer = INF
def dfs(hospital_list, pick_list, idx):
if idx == len(h... | hammii/Algorithm | CodeTree_python/바이러스_백신.py | 바이러스_백신.py | py | 1,804 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "sys.stdin.readline",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.readline",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"li... |
12960752319 | import warnings
warnings.filterwarnings('ignore')
from popsycle import synthetic
import numpy as np
import matplotlib.pyplot as plt
from astropy.table import Table
import h5py
def test_h5_output(ebf_file, reference_h5_file, extra_col= False):
""""
Parameters
----------
ebf_file : str
Name of t... | jluastro/PopSyCLE | popsycle/tests/output_test_synthetic.py | output_test_synthetic.py | py | 4,102 | python | en | code | 13 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "popsycle.synthetic.perform_pop_syn",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "popsycle.synthetic",
"line_number": 26,
"usage_type": "name"
},
{
"api_... |
35721608965 | import os
import json
import numpy as np
import preprocessing as preprocessing
from tensorflow import keras
def init():
global model
global vocab
global max_len
model = keras.models.load_model(os.path.join(os.getenv('AZUREML_MODEL_DIR'), 'model'), compile=False)
with open(os.path.join(os.getenv('AZ... | luisespriella9/disastersLocator | src/scoring.py | scoring.py | py | 809 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tensorflow.keras.models.load_model",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.models",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras",
"line_number": 11,
"usage_type": "name"
},
{
"... |
44632376656 | # coding:utf-8
from bs4 import BeautifulSoup
import urllib.request as req
import sqlite3
from contextlib import closing
url="http://su-gi-rx.com/2017/07/16/python_4/"
dbname='database.db'
conn=sqlite3.connect(dbname)
c=conn.cursor()
table_name = 'test'
def get_html():
#urlopen()でデータ取得
res=req.ur... | riku-nagisa/python1 | html_ren.py | html_ren.py | py | 1,261 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulSou... |
2721248561 | import copy, random, datetime
suppliesDataSets = [
[
{
"labels": [], #food
"data": []
},
{
"labels": [], #drink
"data": []
},
{
"labels": [], #medicine
"data": []
}
]
]
now = datetime.datetime... | e1833-tomohiro/Kadai | backend/store.py | store.py | py | 680 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "datetime.datetime.now",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "datetime.timedelta",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "rando... |
29520352035 | import requests
from bs4 import BeautifulSoup as bs
import csv
from itertools import chain
def get_urls():
"""
Skilar lista sem inniheldur slóðir á allar undirsíður
með kosningaúrslitum
"""
main_page = requests.get("http://www.kosningastofnun.in/")
page_soup = bs(main_page.content, "html.parse... | flother/data-acq-viz | 2018/kosningaskrapari-lausn.py | kosningaskrapari-lausn.py | py | 2,713 | python | is | code | 1 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"... |
73264632828 | from game_objects.projectile import Projectile
from game_objects.player import Player
from pyglet import clock
from widgets.event_window import EventWindow
import pyglet
import cv2 as cv
import time
window = EventWindow(fullscreen=True)
# soul_image = pyglet.image.load('soul.png')
# soul = pyglet.sprite.Sprite(soul_im... | KimPalao/Headshot | collision_test.py | collision_test.py | py | 1,686 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "widgets.event_window.EventWindow",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "game_objects.player.Player",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": ... |
72588123388 | from numpy.testing import *
import numpy
import numpy.random
from adolc import *
from adolc.cgraph import *
from adolc.tangent import *
class TangentOperationsTests(TestCase):
def test_constructor(self):
t1 = Tangent(1,2)
t2 = Tangent(adouble(1),2)
def test_float_tangent_float_tangent(self):
... | b45ch1/pyadolc | adolc/tests/test_tangent.py | test_tangent.py | py | 3,503 | python | en | code | 43 | github-code | 6 | [
{
"api_name": "numpy.random.rand",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 81,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.rand",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
27009702338 | import numpy as np
import run as r
'''
[id]
115
[name]
BayesianRidge
[input]
x_train 训练集 训练集标签数据集 二维数组 必须 定数
y_train 测试集 测试集数据集 二维数组 必须 定数
x_test 训练集标签 训练集标签标签 一维数组 必须 定数
y_test 测试集标签 测试集标签 一维数组 必须 定数
n_iter n_iter 默认为300,最大迭代次数。应该大于或等于1,可选整数 整数 不必须 定数
tol tol 默认为1e-3,如果w收敛，则停止算法,可选浮点数 浮点数 不必须 定数
alpha_1 alpha_1 默认... | lisunshine1234/mlp-algorithm-python | machine_learning/regression/linear_models/BayesianRidge/main.py | main.py | py | 5,830 | python | zh | code | 0 | github-code | 6 | [
{
"api_name": "run.run",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "numpy.loadtxt",
"line_number": 112,
"usage_type": "call"
},
{
"api_name": "numpy.delete",
"line_number": 116,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": ... |
38852384412 | from django.core import validators
from rest_framework import serializers
from django.utils.translation import gettext_lazy as _
from degvabank.apps.account.models import Account
from degvabank.apps.card.models import CreditCard
from degvabank.apps.transaction.utils import is_our_number
from .models import Transactio... | Vixx-X/DEGVABank-backend | degvabank/degvabank/apps/transaction/serializers.py | serializers.py | py | 5,507 | python | en | code | 0 | github-code | 6 | [
{
"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": "models.Transaction",
"line_number": 14,
"usage_type": "name"
... |
38696958854 | # coding=utf-8
import requests
class Airbnb(object):
"""Interface to get data from airbnb api. You can use :
api_instance = Airbnb()
api_instance.get_logement("Paris")
api_instance.get_review(logement_id)
api_instance.get_logement_details(logement_id)"""
def get_user_infos(self, us... | pablo-a/airbnb | airbnb_api.py | airbnb_api.py | py | 6,552 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_numbe... |
70321394427 | import multiprocessing as mp
from skopt import Optimizer
from skopt.space import Real, Integer
import subprocess
import time
import pickle
from ID_CNN_V01 import setup_thread_environment
from _utils.ID_utils import get_convolutions, Colors, check_available_gpus
n_calls = 7
dim_learning_rate = Real(low=1e-7, high=3e-... | lorenz-h/DataRepresentationLearning | Old Experiments/ImitationDuckie_V1/_old_versions/ID_Optimizer.py | ID_Optimizer.py | py | 4,792 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "skopt.space.Real",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "skopt.space.Integer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "skopt.space.Integer",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "_utils.ID_ut... |
28173684280 | # importing all libraries
import cadquery as cq
from cadquery import exporters
import pyaudio
import json
from vosk import Model, KaldiRecognizer
import pyttsx3
from tkinter import *
from PIL import ImageTk, Image
import tkinter.font as TkFont
import os
from word2number import w2n
#loading vosk ml audio recognition m... | N3dal/YourFirstContribution | Python/interactivedesign.py | interactivedesign.py | py | 9,411 | python | en | code | null | github-code | 6 | [
{
"api_name": "vosk.Model",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "vosk.KaldiRecognizer",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pyaudio.PyAudio",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pyaudio.paInt16",
... |
72764469628 | from sklearn.feature_extraction.text import TfidfVectorizer
from wordcloud import WordCloud
import numpy as np
def get_wordcloud(data, stop_words):
vectorizer = TfidfVectorizer(
use_idf=False, stop_words=stop_words, ngram_range=(2, 2))
vectors = vectorizer.fit_transform(data)
counts = np.array(ve... | Amayas29/review-analysis | src/iads/nlp/visualisation.py | visualisation.py | py | 607 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "wordcloud.WordCloud",
"line_number": 20,
"usage_type": "call"
}
] |
26531291291 | from pyhpecfm import system
from lib.actions import HpecfmBaseAction
class eventLookup(HpecfmBaseAction):
def run(self):
cfm_audits = system.get_audit_logs(self.client)
if isinstance(cfm_audits, list):
# Create a empty list for alarms
event_data = []
# Loop throu... | HewlettPackard/stackstorm-hpe-cfm | actions/get_events.py | get_events.py | py | 1,125 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "lib.actions.HpecfmBaseAction",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "pyhpecfm.system.get_audit_logs",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pyhpecfm.system",
"line_number": 6,
"usage_type": "name"
}
] |
34540300851 | import configparser
import argparse
import json
import boto3
import utility
from collections import OrderedDict
global emr_configuration, emr_applications, cluster_config, optional_instance_config
emr_configuration = "emr_cluster.config"
emr_applications = ["Hadoop", "Spark", "Ganglia"]
cluster_config = "source/cluste... | VCCRI/Falco | launch_cluster.py | launch_cluster.py | py | 7,234 | python | en | code | 37 | github-code | 6 | [
{
"api_name": "utility.check_config",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "utility.check_upload_config",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "utility.check_config",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": ... |
42535314476 | # OKANCAN COSAR
# 12253018
import Helper
import Constant
import Step
import sys
populasyon = []
def Calculate(populasyonlar):
# for i in Helper.populasyonDict(populasyonlar):
# # guzel yazdirma
# ff = ""
# for ix in i[0]:
# ff = ff + str(ix)
# print("(", ff, "),", i[1... | OkancanCosar/01-Knapsack-with-GA | python/index.py | index.py | py | 1,827 | python | tr | code | 2 | github-code | 6 | [
{
"api_name": "Step.parentSelect",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "Step.recombineAndMutate",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "Step.survivalSelect",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "Constan... |
41095556533 | import sqlite3
conn = sqlite3.connect("tickets5.db")
cur = conn.cursor()
def displayAllTickets():
sql = "SELECT * FROM tickets"
cur.execute(sql)
results = cur.fetchall()
if results:
printStuff(results)
else:
print("No data found")
print()
def addTicket():
actual_sp... | LilGotit/brain-drizzle | TicketsDatabase/ticketDatabase.py | ticketDatabase.py | py | 2,130 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
}
] |
29875084962 | ## ~~~~~~~~~~~~~~~~~~
# Deep Willy Network
## ~~~~~~~~~~~~~~~~~~
import numpy as np, json, sys, os
sys.path.append(os.path.dirname(__file__))
from willies import *
class DeepWilly(object):
_willy_classes = {'connected': ConnectedWilly,
'dropout': DropoutWilly,
'... | gavarela/willyai | willyai/deepWilly.py | deepWilly.py | py | 6,171 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
30906490211 | import requests, re
def scrape_images(link):
# define our user headers
headers = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.114 Safari/537.36"
}
gallery_append = 'media?id=media0&ref=photoCollage&channel=RES_BUY'
link_... | GregorMonsonFD/holmly_sourcing_legacy | scripts/python/pdfGen/rightmove_image_extract.py | rightmove_image_extract.py | py | 717 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 19,
"usage_type": "call"
}
] |
70829089789 | import logging.config
DEFAULT_LEVEL = logging.WARNING
DEFAULT_FMT = '%(asctime)s | %(levelname)-8s | %(message)s'
def install(level=DEFAULT_LEVEL, fmt=DEFAULT_FMT):
logging.basicConfig(level=level, format=fmt)
try:
import sys
import colorlog
formatter = colorlog.ColoredFormatter(
... | Arcensoth/pymcutil | pymcutil/logging/__init__.py | __init__.py | py | 799 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "logging.config.WARNING",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "logging.config",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "logging.config.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "lo... |
43634658293 |
from __future__ import division
from __future__ import absolute_import
#typing
#overrides
from allennlp.common import squad_eval
from allennlp.training.metrics.metric import Metric
class SquadEmAndF1(Metric):
u"""
This :class:`Metric` takes the best span string computed by a model, along with the answer
... | plasticityai/magnitude | pymagnitude/third_party/allennlp/training/metrics/squad_em_and_f1.py | squad_em_and_f1.py | py | 1,963 | python | en | code | 1,607 | github-code | 6 | [
{
"api_name": "allennlp.training.metrics.metric.Metric",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "allennlp.common.squad_eval.metric_max_over_ground_truths",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "allennlp.common.squad_eval",
"line_number": ... |
19181221365 | """Add agreed to TOS int field
Revision ID: 51398a87b2ef
Revises: 95c58503e9c0
Create Date: 2020-12-02 09:43:04.949189
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "51398a87b2ef"
down_revision = "95c58503e9c0"
branch_labels = None
depends_on = None
def upgr... | Almenon/couchers | app/backend/src/couchers/migrations/versions/51398a87b2ef_add_agreed_to_tos_int_field.py | 51398a87b2ef_add_agreed_to_tos_int_field.py | py | 696 | python | en | code | null | github-code | 6 | [
{
"api_name": "alembic.op.add_column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integer... |
16760366561 | from django.shortcuts import render,redirect,get_object_or_404
# CSRF
from django.views.decorators.csrf import csrf_exempt
from django.utils.http import urlsafe_base64_encode,urlsafe_base64_decode
from django.utils.encoding import force_bytes
from django.core.mail import EmailMessage
from django.utils.encoding import ... | suna-ji/RockJiggu | RockJiggu/views.py | views.py | py | 2,535 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.shortcuts.render",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.core.mail.send_mail",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "django.core.mail.BadHeaderError",
"line_number": 36,
"usage_type": "name"
},
{
... |
648818691 | from argparse import ArgumentParser
from inference import Infer
parser = ArgumentParser()
parser.add_argument("modelname", help="name of model to use")
parser.add_argument("imagepath", help="relative path to image")
parser.add_argument("--use_gpu", help="use gpu or not", nargs="?", default=False, const=True, type = ... | Deepesh22/Crowd-Counting | cli.py | cli.py | py | 482 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "inference.Infer",
"line_number": 12,
"usage_type": "call"
}
] |
40176582534 | #import gevent.monkey
#gevent.monkey.patch_all()
import os
import sys
import time
import pprint
import logging
import requests
import grequests
import threading
import urllib.parse
from bs4 import BeautifulSoup
import db
import parse
logger = logging.getLogger('scraper')
logger.setLevel(logging.DEBUG)
SRC_DIR = os.... | JohnMcAninley/beer-goggles | scraper/src/scraper.py | scraper.py | py | 7,113 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
30544609936 | # stemming
# e.g. stemming will convert ["python","pythoner","pythoning","pythoned","pythonly"] to python
# e.g. stemming will convert ["interesting","interested"] to interest
# stemming may create some words that do not exits
from nltk.stem import PorterStemmer
from nltk.tokenize import word_tokenize
ps = PorterStemm... | limingwu8/ML | NLP/demo03.py | demo03.py | py | 669 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "nltk.stem.PorterStemmer",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.word_tokenize",
"line_number": 16,
"usage_type": "call"
}
] |
2026784639 | import msvcrt
import zipfile
import threading
from selenium import webdriver
from selenium.webdriver.edge.options import Options
from bs4 import BeautifulSoup
from concurrent.futures import ThreadPoolExecutor,wait, FIRST_COMPLETED, ALL_COMPLETED
resultList = []
unfoundList = []
alltask = []
def main():
file = 'C... | Nienter/mypy | personal/getNewestVersion.py | getNewestVersion.py | py | 3,123 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "zipfile.is_zipfile",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "zipfile.ZipFile",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "concurrent.futures.ThreadPoolExecutor",
"line_number": 25,
"usage_type": "call"
},
{
"api_name... |
71885865788 | #! /usr/bin/env python
import sys
from collections import defaultdict
from intcode import IntCode
lines = []
for line in sys.stdin:
lines.append(line.rstrip('\n'))
class Robot():
program=None
direction=(0,1)
position=(0,0)
panels=None
def __init__(self, line) -> None:
self.program = ... | albatros69/aoc-2019 | day-11/paint.py | paint.py | py | 1,580 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdin",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "intcode.IntCode",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 19,
"usage_type": "call"
}
] |
16731268894 | from abc import ABC, ABCMeta, abstractmethod
from datetime import datetime
from pprint import pprint
from typing import Dict
try:
from dialogflow_v2 import SessionsClient
from dialogflow_v2.proto.session_pb2 import (
DetectIntentResponse,
QueryInput,
QueryResult,
TextInput,
... | autogram/Botkit | botkit/builtin_services/nlu/nluservice.py | nluservice.py | py | 3,231 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "dialogflow_v2.SessionsClient",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "dialogflow_v2.proto.session_pb2.DetectIntentResponse",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "dialogflow_v2.proto.session_pb2.QueryInput",
"line_number":... |
10120432429 | """
Library and Wrapper for DHT11 and DHT22 sensors.
Based on https://github.com/JurassicPork/DHT_PyCom/tree/pulses_get
Extensions: Renamed module filename to dht (from dth.py) and added wrapper function
For hardware connection: YELLOW/WHITE: PIN1 VCC through GPIO, PIN2: DATA through GPIO, PIN3: NC, PIN4: G... | insighio/insighioNode | insighioNode/lib/sensors/dht.py | dht.py | py | 3,993 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "machine.Pin",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "machine.Pin.OPEN_DRAIN",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "utime.sleep",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pycom.pulses_get"... |
10251411217 | """
Configuration reader for the population_gravity model
@author Chris R. Vernon
@email: chris.vernon@pnnl.gov
License: BSD 2-Clause, see LICENSE and DISCLAIMER files
"""
import datetime
import os
import simplejson
import rasterio
import yaml
import pandas as pd
import population_gravity.downscale_utilitie... | IMMM-SFA/population_gravity | population_gravity/read_config.py | read_config.py | py | 26,485 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "population_gravity.downscale_utilities.get_raster_with_metadata",
"line_number": 260,
"usage_type": "call"
},
{
"api_name": "population_gravity.downscale_utilities",
"line_number": 260,
"usage_type": "name"
},
{
"api_name": "population_gravity.downscale_utilities.c... |
6131848495 | import numpy as np
from PIL import Image
radar = np.load('./origin_data/radars_2020-11-01_2022-12-31.npy')
color_image = Image.open('./cool_data/mask.png')
mask = np.array(color_image.convert('L'))
for i in range(825):
for j in range(200):
if mask[i, j] > 200:
mask[i, j] = 0
... | Ronningen/DDIN1 | ice_mask_generation.py | ice_mask_generation.py | py | 720 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.load",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 7,
... |
43627572834 | from typing import List
class Solution:
def maxBoxesInWarehouse(self, boxes: List[int], warehouse: List[int]) -> int:
boxes.sort()
p1, p2 = 0, len(warehouse)-1
res = 0
for i in range(len(boxes)-1, -1, -1):
if boxes[i] <= warehouse[p1]:
p1 += 1
... | MichaelTQ/LeetcodePythonProject | solutions/leetcode_1551_1600/LeetCode1580_PutBoxesIntoTheWarehouseII.py | LeetCode1580_PutBoxesIntoTheWarehouseII.py | py | 918 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
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