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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
20154443994 | from datetime import datetime # needed to read and compare dates
class item: # initiates item class for all inventory elements
def __init__(self, itemID=0, manuF='none', itemT='none', itemP=0.0, serv=datetime.today(), dmg='False'):
self.itemID = itemID
self.manuF = manuF
self.it... | BrittanyZimmerman/CIS2348 | FinalProject - Part 1/FinalProjectPart1.py | FinalProjectPart1.py | py | 5,756 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "datetime.datetime.today",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "csv.reader",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"... |
31944141020 | """empty message
Revision ID: 0e84780c08ce
Revises:
Create Date: 2023-06-25 00:48:55.259558
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '0e84780c08ce'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto gene... | yinsont/lit-crypts | server/migrations/versions/0e84780c08ce_.py | 0e84780c08ce_.py | py | 1,792 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
70446469223 | """
East Text detection
"""
import cv2
import numpy as np
from imutils.object_detection import non_max_suppression
from cfir_game_lens.utils import Box, GameCoverImage, ImageSize
from dataclasses import astuple
class EAST: # pylint: disable=too-few-public-methods
"""East Class
"""
LAYER_NAMES = ["featur... | CfirTsabari/cfir_game_lens | cfir_game_lens/east.py | east.py | py | 3,836 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.dnn.readNet",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.dnn",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "cfir_game_lens.utils.GameCoverImage",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "cfir... |
23781717999 | #!/usr/bin/env python3
import gym
from gym import wrappers
import gym_gazebo
import time
import numpy
import random
import time
import qlearn
import liveplot
from matplotlib import pyplot as plt
def render():
render_skip = 0 # Skip first X episodes.
render_interval = 50 # Show render Every Y episodes.
... | mjohal67/ENPH353_Lab06_Reinforcement | examples/gazebo_lab06_ex/gazebo_lab06_ex.py | gazebo_lab06_ex.py | py | 4,089 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "gym.make",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "gym.wrappers.Monitor",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "gym.wrappers",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "liveplot.LivePlot",
... |
43249592224 | from django.shortcuts import render
from articles.models import Article
def articles_list(request):
template = 'articles/news.html'
acricles = Article.objects.all().prefetch_related('scopes')
ordering = '-published_at'
context = {'object_list': acricles.order_by(ordering)}
return render(request, ... | StickKing/netology-dj-homeworks | 2.2-databases-2/m2m-relations/articles/views.py | views.py | py | 339 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "articles.models.Article.objects.all",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "articles.models.Article.objects",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "articles.models.Article",
"line_number": 8,
"usage_type": "name"
... |
43301294024 | from rpython.rlib.rarithmetic import r_singlefloat, r_uint
from rpython.rtyper.lltypesystem import lltype, rffi
from rpython.translator.tool.cbuild import ExternalCompilationInfo
r_uint32 = rffi.r_uint
assert r_uint32.BITS == 32
UINT32MAX = 2 ** 32 - 1
# keep in sync with the C code in pypy__decay_jit_counters below... | mozillazg/pypy | rpython/jit/metainterp/counter.py | counter.py | py | 13,442 | python | en | code | 430 | github-code | 36 | [
{
"api_name": "rpython.rtyper.lltypesystem.rffi.r_uint",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "rpython.rtyper.lltypesystem.rffi",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "rpython.rtyper.lltypesystem.lltype.Struct",
"line_number": 11,
... |
75107100903 | from pyrogram import Client, Filters, InlineKeyboardMarkup, InlineKeyboardButton, Emoji
from config import Messages as tr
@Client.on_message(Filters.private & Filters.incoming & Filters.command(['start']))
async def _start(client, message):
await client.send_message(chat_id = message.chat.id,
text = tr.STA... | cdfxscrq/GDrive-Uploader-TG-Bot | plugins/help.py | help.py | py | 2,093 | python | en | code | 83 | github-code | 36 | [
{
"api_name": "config.Messages.START_MSG.format",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "config.Messages.START_MSG",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "config.Messages",
"line_number": 7,
"usage_type": "name"
},
{
"api_... |
12028416507 | # -*- coding: utf-8 -*-
import re
from django.utils import simplejson as json
from django.db import connection
from psycopg2.extensions import adapt, register_adapter, AsIs, new_type, register_type
from .adapt import ADAPT_MAPPER
rx_circle_float = re.compile(r'<\(([\d\.\-]*),([\d\.\-]*)\),([\d\.\-]*)>')
rx_line = re... | cr8ivecodesmith/django-orm-extensions-save22 | django_orm/postgresql/geometric/objects.py | objects.py | py | 8,366 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.compile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 13,
... |
24257764446 | """Find out how to 'clear the board' in Pyramid Solitaire.
The design is meant to be simple to understand so it is less likely to have
bugs, but to make Pyramid Solitaire solvable for the worst case scenarios, we
must do a bit of optimization work on the state representation.
This implementation skips all of the prec... | mchung94/solitaire-player | pysolvers/solvers/pyramid.py | pyramid.py | py | 11,173 | python | en | code | 37 | github-code | 36 | [
{
"api_name": "solvers.deck.deck.card_rank",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "solvers.deck.deck",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "solvers.deck",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "colle... |
18873931268 | from flask import Blueprint, request, abort
from models.dota.item import DotaItem
from api.dota.validators import all_items_schema
items_route = Blueprint("items", __name__, url_prefix="/items")
@items_route.route("/<int:item_id>")
def get_item_by_id(item_id: int):
item = DotaItem.query.filter_by(id=item_id).on... | NeKadgar/game_market_items_base | api/dota/items.py | items.py | py | 1,111 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "models.dota.item.DotaItem.query.filter_by",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.dota.item.DotaItem.query",
"line_number": 11,
"usage_type": "attribute"
... |
14919658167 | __copyright__ = """
Copyright 2017 FireEye, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law ... | fireeye/brocapi | brocapi/brocapi_syslog.py | brocapi_syslog.py | py | 2,466 | python | en | code | 27 | github-code | 36 | [
{
"api_name": "datetime.datetime.today",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "socket.so... |
1121900442 | import asyncio
import logging
import os
from time import time
import aiohttp
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)
async def read_text_file(directory, file):
"""
Async version of the download_link method we... | suganyamuthukumar/python | TestfileIOAsync.py | TestfileIOAsync.py | py | 1,603 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.chdir",
"... |
8385871532 | from django.db import models, connection
from django.db.models import Q, Max, Case, Value, When, Exists, OuterRef, \
UniqueConstraint, Subquery
from django.conf import settings
from django.contrib.contenttypes.models import ContentType
from django.core.cache import cache
from django.core.exceptions import FieldErro... | johncronan/formative | formative/models/formative.py | formative.py | py | 40,781 | python | en | code | 4 | github-code | 36 | [
{
"api_name": "utils.MarkdownFormatter",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "django.db.models.Manager",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 34,
"usage_type": "name"
},
{
"api_name":... |
37486401663 | from itertools import product
from random import choice
from time import sleep
from os import system
from math import floor
from colorama import Back, Fore, Style
################################################################################
# Simulation of Conway's Game of Life. The goal here was to write this with... | tvl-fyi/depot | users/wpcarro/scratch/data_structures_and_algorithms/conways-game-of-life.py | conways-game-of-life.py | py | 2,666 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "math.floor",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "colorama.Back.GREEN",
... |
33693604036 | from __future__ import print_function
import argparse
import torch
import torch.utils.data
from torch import optim
from torch import nn
from torch.utils.data import DataLoader
from gensim.models import KeyedVectors
import os
import numpy as np
from collections import OrderedDict
from multiprocessing import cpu_count
... | dnddnjs/pytorch-svae | train.py | train.py | py | 5,776 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "torch... |
10202065384 | import os
import math
import numpy as np
import shutil
import cv2
from colormath.color_conversions import *
from colormath.color_objects import *
from sklearn.manifold import TSNE
import json
from similarity_measurer import SimilarityMeasurer
from color_palette import ColorPalette
from geo_sorter_helper impo... | Xiaozhxiong/Palette-Sorting | expriment_6.py | expriment_6.py | py | 6,551 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.exists",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_nu... |
73917552423 | import scipy.io
import pylab
import numpy
from math import *
import scipy.misc
import scipy.sparse
import sys
import time
import matplotlib.ticker
#import HCIL_model # make sure this model accounts for alignments etc
from matplotlib import pyplot as plt
import socket
import time
from InitializationPY import *
from EKF_... | HeSunPU/FPWCmatlab | EKF.py | EKF.py | py | 6,852 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "numpy.concatenate",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.real",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.imag",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.eye",
"line_number"... |
4855275955 | #!/usr/bin/python
# -*- coding: utf-8 -*
from fabric.api import *
from fabric.context_managers import *
from fabric.contrib.console import confirm
from fabric.contrib.files import *
from fabric.contrib.project import rsync_project
import fabric.operations
import time,os
import logging
import base64
from getpass import ... | zzlyzq/speeding | funcs/cdh.py | cdh.py | py | 9,909 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "json.loads",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 65,
"usage_type": "call"
}
] |
70176885225 | # imports
from sklearn.pipeline import Pipeline
from sklearn.compose import ColumnTransformer
from TaxiFareModel.encoders import TimeFeaturesEncoder, DistanceTransformer
from sklearn.linear_model import LinearRegression
from sklearn.preprocessing import StandardScaler, OneHotEncoder
from TaxiFareModel.utils import comp... | lamothearthur/TaxiFareModel | TaxiFareModel/trainer.py | trainer.py | py | 2,701 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sklearn.pipeline.Pipeline",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "TaxiFareModel.encoders.DistanceTransformer",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 26,
"usage_typ... |
74867967785 | from data_loader import *
from plotter import *
from utils import *
import netCDF4 as nc
import argparse
import pandas as pd
from tkinter import *
# TODO: Add gui....eventually
# import customtkinter
#
# customtkinter.set_appearance_mode('system')
# root = customtkinter.CTk()
# root.geometry('300x400')
# button = cus... | sauriemma11/GOES-SOSMAG-Mag-Subtraction | src/main.py | main.py | py | 6,243 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "netCDF4.Dataset",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "netCDF4.Dataset",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "netCDF4.Dataset",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentPars... |
70525087465 | import socket
import sys
import logging
logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
# Create a TCP/IP socket
sock = socket.socket (socket.AF_INET, socket.SOCK_STREAM)
# Connect the socket to the port where the server is listening
server_address = ('localhost', 5000)
logging.info ('connecting to {} por... | Des-Tello/ArquiSW | services/visualizacion_personal.py | visualizacion_personal.py | py | 2,142 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "logging.DEBUG",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "socket.socket",
... |
28814194209 | import os
import glob
import logging
import numbers
import numpy as np
import pandas as pd
from ast import literal_eval
from django.conf import settings
from ..utils.custom_decorator import where_exception
from ..data_preprocess.preprocess_base import PreprocessorBase
logger = logging.getLogger("collect_log_helper")
... | IoTKETI/citydatahub_analytics_module | ANALYTICS_MODULE/API/services/model_batch/batch_helper.py | batch_helper.py | py | 8,017 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "data_preprocess.preprocess_base.PreprocessorBase",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.ANALYTICS_MANAGER_NFS",
"line_number": 41,
"usage... |
19258065891 | from openpyxl import load_workbook
class doExcel():
def __init__(self,file_path,sheet_name):
self.file_path=file_path
self.sheet_name=sheet_name
self.wb=load_workbook(self.file_path)
self.sh=self.wb[self.sheet_name]
#获取当前sheet最大的行数
self.row_max=self.sh.max_row
... | DXH20191016/untitled | test_interface_auto/common/doExcel.py | doExcel.py | py | 1,429 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "openpyxl.load_workbook",
"line_number": 8,
"usage_type": "call"
}
] |
24349509747 | import os
import json
from flask import Flask, request, send_file, jsonify
from picamera2 import Picamera2, Preview
import time
from PIL import Image
picam2 = Picamera2()
camera_config = picam2.create_still_configuration(main={"size": (256, 256)})
picam2.set_controls({"ExposureTime": 5000})
picam2.configure(camera_con... | felzmatt/visiope-project | raspberry-stack/sensor-server/main.py | main.py | py | 2,697 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "picamera2.Picamera2",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image.FLIP_TOP_BOTTOM",... |
31518451112 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import logging
import base64
import hmac
import hashlib
import json
from urllib import parse
from urllib import request
from datetime import datetime
# timeout in 5 seconds:
TIMEOUT = 5
API_HOST = 'be.huobi.com'
SCHEME = 'https'
# language setting: 'zh-CN', 'en':
LAN... | szhu3210/Arbitrage-trader | legacy/huobi_eth_client.py | huobi_eth_client.py | py | 15,614 | python | en | code | 5 | github-code | 36 | [
{
"api_name": "json.dumps",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "urllib.request.Request",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 89,
"usage_type": "name"
},
{
"api_name": "urllib.request.urlop... |
74517025384 | #!/usr/bin/env pythonimport coliche, os
import bn.bn
def bn2dot(bnfile, outfile, vdfile=None, loners=False, center=None,
awfile=None):
# give None to outfile to get string back
dotbuffer = []
bns = bn.bn.load(bnfile, False)
varc = bns.varc
arcs = bns.arcs()
names = vdfile \
... | tomisilander/bn | bn/util/bn2dot.py | bn2dot.py | py | 1,917 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "bn.bn.bn.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bn.bn.bn",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "bn.bn",
"line_number": 10,
"usage_type": "name"
}
] |
39776686649 | import sqlite3
import pandas as pd
import urllib.request
import xml.etree.ElementTree as et
from installations_type_json import Installation_type_json
from installations_type_xml import Installation_type_xml
from installation import Instalation
from recherche import Recherche
from patinoire import Patinoire
from glissa... | alioudiallo224/Restfull-API-in-python | database.py | database.py | py | 13,259 | python | fr | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "urllib.request.request.urlopen",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "urllib... |
73171895785 | """
Date: 2019.07.04
Programmer: DH
Description: About System Manager Report Generator
"""
import pandas as pd
import matplotlib.pyplot as plt
from PIL import Image
class ReportGenerator:
"""
To get information about age, emotion, factor from data_set, and
make a chart from data_set.
"""... | Im-Watching-You/SELab-Smart-Mirror | DH/report.py | report.py | py | 12,685 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.DataFrame",
"line_number": 132,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 175,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 199,
"usage_type": "call"
},
{
"api_name": "matplot... |
36896145879 | import struct
import dns.rdata
import dns.rdatatype
class SSHFP(dns.rdata.Rdata):
"""SSHFP record
@ivar algorithm: the algorithm
@type algorithm: int
@ivar fp_type: the digest type
@type fp_type: int
@ivar fingerprint: the fingerprint
@type fingerprint: string
@see: draft-ietf-secsh-d... | RMerl/asuswrt-merlin | release/src/router/samba-3.6.x/lib/dnspython/dns/rdtypes/ANY/SSHFP.py | SSHFP.py | py | 2,129 | python | en | code | 6,715 | github-code | 36 | [
{
"api_name": "dns.rdata.rdata",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "dns.rdata",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "dns.rdata.rdata._hexify",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "dns.rdata.rdata"... |
13151184850 | import numpy as np
from scipy.optimize import fmin_bfgs
from MILpy.functions.noisyORlossWeights import noisyORlossWeights
from MILpy.functions.noisyORlossAlphas import noisyORlossAlphas
from MILpy.functions.traindecstump import traindecstump
class MILBoost(object):
def __init__(self):
self._alpha = No... | jmarrietar/MILpy | Algorithms/MILBoost.py | MILBoost.py | py | 3,049 | python | en | code | 18 | github-code | 36 | [
{
"api_name": "numpy.asmatrix",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.asmatrix",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_nu... |
36450480034 | # repo originally forked from https://github.com/Confusezius/Deep-Metric-Learning-Baselines
################# LIBRARIES ###############################
import warnings
warnings.filterwarnings("ignore")
import numpy as np, pandas as pd, copy, torch, random, os
from torch.utils.data import Dataset
from PIL import Imag... | Andrew-Brown1/Smooth_AP | src/datasets.py | datasets.py | py | 18,924 | python | en | code | 193 | github-code | 36 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.DataLoader",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "torch.utils",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "t... |
16753186305 | import os
import json
import pandas as pd
import numpy as np
reffile = "reference.json"
# errfile = "errors.json"
datfile = os.path.join(".", "data",
"DOHMH_New_York_City_Restaurant_Inspection_Results.csv")
data = pd.read_csv(datfile, index_col=[0])
data = data.sort_index()
original_cols = data.columns
with o... | raokaran/rest_inspect | edav_final/merge_doh_yelp.py | merge_doh_yelp.py | py | 4,213 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_numbe... |
40238893115 | import argparse
from dotenv import load_dotenv
from parse_page import Driver
from pipeline import pipeline
from threads import threads
load_dotenv()
def main():
parser = argparse.ArgumentParser(
description='Download and decrypt DRM protected mpeg-dash content')
parser.add_argument('--url', type=str... | vigoroous/DRMBypass | src/main.py | main.py | py | 1,323 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "parse_page.Driver",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pipeline.... |
71073572903 | import torch
import torch.nn as nn
import torch.nn.utils.rnn as rnn
from torch.utils.data import Dataset, DataLoader, TensorDataset
import torch.nn.functional as F
from torch.autograd import Variable
from sklearn.model_selection import train_test_split
import numpy as np
import time
import pandas as pd
import matplotl... | aymitchell/UAV-navigation | TrajectoryPrediction/train.py | train.py | py | 5,926 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "torch.device",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "time.ctime",
... |
21885165618 | """
Migration scripts
"""
import click
from packaging.version import Version
from brewblox_ctl import actions, click_helpers, const, migration, sh, utils
@click.group(cls=click_helpers.OrderedGroup)
def cli():
"""Global command group"""
def check_version(prev_version: Version):
"""Verify that the previous... | BrewBlox/brewblox-ctl | brewblox_ctl/commands/update.py | update.py | py | 9,669 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "click.group",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "brewblox_ctl.click_helpers.OrderedGroup",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "brewblox_ctl.click_helpers",
"line_number": 11,
"usage_type": "name"
},
{
... |
73750601385 | import json
import os
import time
from tqdm import tqdm
from easydict import EasyDict
import pandas as pd
from .index_compression import restore_dict
def find_pos_in_str(zi, mu):
len1 = len(zi)
pl = []
for each in range(len(mu) - len1):
if mu[each:each + len1] == zi: # 找出与子字符串首字符相同的字符位置
... | cuteyyt/searchEngine | miniSearchEngine/construct_engine/utils.py | utils.py | py | 4,878 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 5... |
40585203716 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from . import common
import numpy as np
import pytorch_lightning as pl
class CNN_Encoder(nn.Module):
def __init__(self, output_size, input_size=(1, 28, 28)):
super(CNN_Encoder, self).__init__()
... | BenjaminMidtvedt/SCAINCE | models/autoencoders.py | autoencoders.py | py | 4,508 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"lin... |
27037529813 | import os
import re
from PIL import Image
from datetime import datetime
from django.contrib.contenttypes.models import ContentType
from django.db import models
from django.utils.timezone import now
from django.utils.html import format_html
from django.utils.text import slugify
from filebrowser.fields import FileBrowseF... | andywar65/rpnew_base | pagine/models.py | models.py | py | 11,731 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "django.utils.timezone.now",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "django.utils.timezone.now",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 22,
"usage_type": "call"
},
{
"api_nam... |
72045581223 | from collections import defaultdict
puzzle = open('puzzle', 'r').read().splitlines()
grid = defaultdict(str)
for y in range(len(puzzle)):
for x in range(len(puzzle[y])):
grid[(y, x)] = puzzle[y][x]
def surrounding(cords, grid):
ret = []
for y in range(cords[0]-1, cords[0]+2):
for x in range(cords[1]-1, cords[... | filipmlynarski/Advent-of-Code-2018 | day_18/day_18_part_2.py | day_18_part_2.py | py | 1,437 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.defaultdict",
"line_number": 4,
"usage_type": "call"
}
] |
13097683438 | # !/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@author: lishuang
@description: 基于能力描述的薪资预测
数据集：抓取了4512个职位的能力描述，薪资
Step1，数据加载
Step2，可视化，使用Networkx
Step3，提取文本特征 TFIDF
Step4，回归分析，使用KNN回归，朴素贝叶斯回归，训练能力和薪资匹配模型
Step5，基于指定的能力关键词，预测薪资
"""
import random
import re
import jieba
import matplotlib.pyplot as plt
import networkx... | TatenLee/machine-learning | bi/core/l13/salary_prediction.py | salary_prediction.py | py | 4,807 | python | zh | code | 1 | github-code | 36 | [
{
"api_name": "pandas.set_option",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "j... |
23297695443 | import pandas as pd
import pathlib
from model import toa
datadir = pathlib.Path(__file__).parents[0].joinpath('data')
def test_toa_per_region():
# we use a modified version of the silvopasture TLA data as mock TLA values
sp_land_dist_all = [331.702828, 181.9634517, 88.98630743, 130.15193962, 201.18287123,
... | ProjectDrawdown/solutions | model/tests/test_toa.py | test_toa.py | py | 922 | python | en | code | 203 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.Index",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line... |
43509548445 | #!/usr/bin/env python3
from dialog.parser import Parser
from dialog.scope import Scope
from dialog.returns import Returns
import dialog.link_parser
import multiprocessing
import json
from dialog.interpreter import Dialog
class Instance(Dialog):
"""
Dialog interperter connected with websockets.
"""
d... | kusha/dialog | dialog/server.py | server.py | py | 6,720 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "dialog.interpreter.Dialog",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"lin... |
20456988287 | from django import forms
from django.contrib import admin
from .models import Category, Comment, Genre, Review, Title, User
EMPTY = '-пусто-'
class UserAdminForm(forms.ModelForm):
def __init__(self, *args, **kwargs):
super(UserAdminForm, self).__init__(*args, **kwargs)
self.fields['password'].wi... | photometer/yamdb_final | api_yamdb/reviews/admin.py | admin.py | py | 1,578 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.forms.PasswordInput",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dja... |
13330164064 | import time
import numpy as np
import torch
import pickle
import warnings
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import Dataset
from torchvision import datasets, transforms
from scipy.ndimage.interpolation import rotate as scipyrotate
from networks import MLP, ConvNet, LeN... | liuyugeng/baadd | DC/utils.py | utils.py | py | 61,851 | python | en | code | 25 | github-code | 36 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Resize",
"line_number": 32,
"usage_type": "call"
},
{
... |
3520691800 | import copy
import fnmatch
import logging
import re
from collections import namedtuple
from enum import Enum
from typing import Dict, Iterable, Optional, Union
import yaml
from meltano.core.behavior import NameEq
from meltano.core.behavior.canonical import Canonical
from meltano.core.behavior.hookable import HookObjec... | learningequality/meltano | src/meltano/core/plugin/base.py | base.py | py | 9,638 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "enum.Enum",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "yaml.add_multi_representer",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "meltano.core.b... |
6812358559 | import webbrowser, os
import json
import boto3
import io
from io import BytesIO
import sys
from pprint import pprint
from dotenv import load_dotenv
import pandas as pd
load_dotenv()
AWSSecretKey = os.getenv('AWSSecretKey')
AWSAccessKeyId = os.getenv('AWSAccessKeyId')
def get_rows_columns_map(table_result, blocks_map... | yashjhaveri05/BE-Project-2022-2023 | MacroMedic/Flask/imageOCR.py | imageOCR.py | py | 7,500 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_numbe... |
19424192217 | # -*- coding: utf-8 -*-
"""
Created on Sun Dec 13 17:05:23 2020
@author: Ruo-Yah Lai
"""
import matplotlib.pyplot as plt
import numpy as np
import csv
import ast
def spikePlots(turns, unit, subfield, filename, df, title=""):
"""
turns: from alleyTransitions
filename: the file with which locations a fiel... | whock3/ratterdam | Ruo-Yah's weekly/121320.py | 121320.py | py | 1,809 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "csv.reader",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_numb... |
31626333564 | import os
import bs4
from nltk.corpus.reader.api import CorpusReader
from nltk.corpus.reader.api import CategorizedCorpusReader
import nltk
import time
from sklearn.feature_extraction.text import TfidfVectorizer
import pandas as pd
from sklearn.feature_extraction import text
from nltk import sent_tokenize
from nltk imp... | kyle1213/data-mining | html_to_vector.py | html_to_vector.py | py | 13,987 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "nltk.corpus.reader.api.CategorizedCorpusReader",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "nltk.corpus.reader.api.CorpusReader",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "nltk.corpus.reader.api.CategorizedCorpusReader.__init__",
... |
33543687487 | from django.contrib import admin
from .models import Quiz, Category, Question, Answer, UserAnswers
@admin.register(Category)
class CategoryAdmin(admin.ModelAdmin):
"""
Модель категорий для вывода в админ панели.
"""
list_display = ('id', 'category_name', 'created_at')
list_display_links = ('id', ... | Kagoharo/QuizSite | Quiz/quizlet/admin.py | admin.py | py | 1,915 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 5,
"usage_type": "call"
},
{
... |
75118121702 | """
Objet Contact représentant un contact de l'Annuaire
Author: Tristan Colombo <tristan@gnulinuxmag.com>
(@TristanColombo)
Date: 17-12-2015
Last modification: 17-12-2015
Licence: GNU GPL v3 (voir fichier gpl_v3.txt joint)
"""
import sqlite3
import pystache
import o... | GLMF/GLMF190 | Dev/interface_CLI/etape_2/Contact.py | Contact.py | py | 4,342 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.OperationalError",
"line_number": 79,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.OperationalError",
"line_number": 112,
"usage_type": "attribute"
},
{
"api_name": "pystache.render",
"line_number": 134,
"usage_type": "call"
},
{
"api... |
74512115622 | import cv2
import numpy as np
import matplotlib.pyplot as plt
img1 = cv2.imread('shanghai-11.png')
img2 = cv2.imread('shanghai-12.png')
img3 = cv2.imread('shanghai-13.png')
plt.figure(1)
plt.subplot(131), plt.imshow(img1, cmap='gray'), plt.title("Image 1")
plt.subplot(132), plt.imshow(img2, cmap='gray'), pl... | costinchican/computer_vision | App2/app2.py | app2.py | py | 8,599 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.imread",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_nu... |
73497184104 | import importlib
import io
import math
import os
import typing
from enum import Enum
import discord
import humanize
from discord.ext import commands
from jishaku.functools import executor_function
from PIL import Image
import common.image_utils as image_utils
import common.utils as utils
class ImageCMDs(commands.Co... | AstreaTSS/Seraphim-Bot | cogs/general/cmds/image_cmds.py | image_cmds.py | py | 13,117 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "common.utils.SeraphimBase",
"line_number": 22,
"usage_type": "attribute"
},
{
... |
43131754181 | from concurrent.futures import ThreadPoolExecutor,ProcessPoolExecutor,as_completed,wait
from concurrent import futures
import time
import requests
# 官方文档：https://docs.python.org/zh-cn/3.8/library/concurrent.futures.html#module-concurrent.futures
urls = ['http://www.tencent.com','http://www.google.com/','http://www.ku... | melody27/python_script | thread_process_futures/concurrent.futures_test.py | concurrent.futures_test.py | py | 2,510 | python | zh | code | 0 | github-code | 36 | [
{
"api_name": "time.time",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "concurrent.futures.ThreadPoolExecutor",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "concurre... |
14484717443 | import cv2 as cv
import numpy as np
left_window = 'Task 4 - left'
right_window = 'Task 4 - right'
# create window for left camera
cv.namedWindow(left_window)
# create window for right camera
cv.namedWindow(right_window)
# read in imagaes
img_l = cv.imread('imgs/combinedCalibrate/aL09.bmp')
img_r = cv.imread('imgs... | mjhaskell/EE_631 | HW3/task4.py | task4.py | py | 1,954 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.namedWindow",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.namedWindow",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_numb... |
2805625238 | import pandas as pd
import scipy
import pylab
import numpy as np
from statsmodels.formula.api import OLS
from easydev import Progress, AttrDict
from gdsctools.stats import MultipleTesting
from gdsctools import readers
from gdsctools.boxplots import BoxPlots
from gdsctools.settings import ANOVASettings
from gdsctools... | Oncology/gdsctools | gdsctools/anova.py | anova.py | py | 47,168 | python | en | code | null | github-code | 36 | [
{
"api_name": "gdsctools.readers.IC50",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "gdsctools.readers",
"line_number": 95,
"usage_type": "name"
},
{
"api_name": "gdsctools.readers.GenomicFeatures",
"line_number": 109,
"usage_type": "call"
},
{
"api_n... |
16775198576 | from rest_framework.decorators import api_view, permission_classes
from rest_framework import generics
from lembaga.models import Lembaga, Institusi, Tema
from lembaga.serializers import LembagaSerializer, InstitusiSerializer, TemaSerializer
from rest_framework.permissions import AllowAny
from rest_framework.response i... | ferenica/sipraktikum-backend | lembaga/views.py | views.py | py | 2,986 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "rest_framework.decorators.permission_classes",
"line_number": 12,
"usag... |
31848452342 | import numpy as np
import pandas as pd
import pandas.testing as pdt
import pytest
from cod_analytics.classes import TransformReference
from cod_analytics.math.homography import Homography, HomographyCorrection
class TestHomography:
xy_bounds = (-1, 1)
xy_corners = [
[-1, -1],
[1, -1],
... | cesaregarza/CoD-Analytics | tests/test_homography.py | test_homography.py | py | 11,028 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.pi",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.RandomState",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "numpy.vstack... |
6380032523 | from functools import partial
import chex
import jax
import numpy as np
import numpy.testing as npt
from absl.testing import parameterized
from tessellate_ipu import tile_map, tile_put_replicated
from tessellate_ipu.lax import scatter_add_p, scatter_max_p, scatter_mul_p, scatter_p
class IpuTilePrimitivesLaxScater(c... | graphcore-research/tessellate-ipu | tests/lax/test_tile_lax_scatter.py | test_tile_lax_scatter.py | py | 2,847 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "chex.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "absl.testing.parameterized.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "absl.testing.parameterized",
"line_number": 13,
"usage_type": "name"
},
{... |
28799587509 | import json
import os
import pickle
import numpy as np
from pprint import pprint
winningRuns, losingRuns, cards, relics, X, Y = None, None, None, None, None, None
cwd = os.path.dirname(__file__)
pathToData = os.path.join(cwd, '..', 'Data')
#Parses the wins and loses from the dump file
def loadFromFile(winsPath, ... | kenttorell/MLFinal_StS | Code/LoadData.py | LoadData.py | py | 4,299 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9... |
23507472501 | # implementing pymoo multi-objective optimization with FEniCS FEA objectives
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.offsetbox import TextArea, DrawingArea, OffsetImage, AnnotationBbox
import pathlib
from pathlib import Path
from pymoo.core.problem import ElementwiseProblem
from pymoo.algor... | grohalex/Project2023 | Python/main.py | main.py | py | 7,557 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymoo.core.problem.ElementwiseProblem",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.su... |
6913776937 | # -*- coding: utf-8 -*-
"""
Created on Tue Aug 24 19:55:28 2021
@author: jon-f
"""
import numpy as np
import matplotlib.pyplot as plt
import os
from skimage.transform import resize
def binary_array_to_hex(arr):
bit_string = ''.join(str(int(b)) for b in arr.flatten())
width = int(np.ceil(len(bit_string)/4))
retur... | triviajon/jonbot | to_hash_thing.py | to_hash_thing.py | py | 2,180 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.ceil",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "skimage.transform.resize",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"li... |
6280612969 | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import datetime as dt
from datetime import datetime
#%config InlineBackend.figure_format = 'retina'
#%matplotlib inline
#%%
path='C:/Users/Mr.Goldss/Desktop/health care digital ticket EDA/'
filename='7_23_2020 Faci... | zjin311/MaricopaWorkLog | health care digital ticket EDA/python models/seaborn viz center.py | seaborn viz center.py | py | 10,947 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_excel",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 95,
"usage_type": "name"
},
{
"api_name": "seabor... |
73495691624 | import pygame as pg
import ChessEngine
import os
from itertools import cycle
from copy import deepcopy
pg.init()
pg.mixer.init()
ROOT_DIR = os.path.dirname(__file__)
IMAGE_DIR = os.path.join(ROOT_DIR, 'images')
WIDTH = HEIGHT = 512
DIMENSION = 8
SQ_SIZE = HEIGHT // 8
MAX_FPS = 15
IMAGES = {}
WHITE = (215,215,215)
BLAC... | GracjanPW/Chess | Chess/ChessMain.py | ChessMain.py | py | 4,586 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.init",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"l... |
129847267 | from django.shortcuts import render, get_object_or_404
from .models import Post, Category, User
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from taggit.models import Tag
from django.db.models import Count
from django.utils import timezone
def post_list(request, tag_slug=None):
posts =... | open-apprentice/ellieplatform-website | blog/views.py | views.py | py | 2,992 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "models.Post.objects.filter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Post.objects",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "models.Post",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "model... |
25047674881 | import torch
from torch import nn
import os
import argparse
import torch.utils.data as data
from torch import optim
from torch.autograd import Variable
import torchvision.transforms as transforms
import tqdm
import numpy as np
import random
from tensorboardX import SummaryWriter
from datetime import datetime
import dat... | YJZFlora/Gun_Violence_Data_Mining | main.py | main.py | py | 9,601 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "tensorboardX.SummaryWriter",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 22,
"usage_type": "name"
},
{
"... |
24788288939 | from typing import List
"""
Given an integer array nums, find the contiguous subarray (containing at least one number) which has the largest sum and return its sum.
A subarray is a contiguous part of an array.
"""
class Solution:
def maxSubArray(self, nums: List[int]) -> int:
dp = [nums[0]]
# res... | inhyeokJeon/AALGGO | Python/LeetCode/dp/53_maximum_subarr.py | 53_maximum_subarr.py | py | 680 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
}
] |
72769207784 | from __future__ import absolute_import, division, print_function, unicode_literals
import os
import csv
import sys
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
import matplotlib.pyplot as plt
import tensorflow_docs.plots
import pandas as pd
print(tf.version.VERSION)
column... | kotrotskon/iBKs_regration | Main.py | Main.py | py | 8,398 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "tensorflow.version",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
27141705447 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018/11/22 12:54
# @Author : Ryu
# @Site :
# @File : yibu.py
# @Software: PyCharm
import asyncio,aiohttp
import time
import requests
async def f1(url):
async with aiohttp.ClientSession() as session:
async with session.get(url) as resp:
... | yuzhema/crawer | day08/yibu.py | yibu.py | py | 805 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "aiohttp.ClientSession",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.clock",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.clock",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_... |
38622940273 | """Platform for sensor integration."""
import logging
from datetime import datetime
from .const import (
DOMAIN,
MODEM_GATEWAY,
EVT_MODEM_CONNECTED,
EVT_MODEM_DISCONNECTED,
EVT_LTE_CONNECTED,
EVT_LTE_DISCONNECTED,
SENSOR_LASTUPD
)
from homeassistant.components.binary_sensor import (
... | vladkozlov69/homeassistant_modem | binary_sensor.py | binary_sensor.py | py | 5,944 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "homeassistant.components.binary_sensor.BinarySensorEntity",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "const.EVT_MODEM_DISCONNECTED",
"line_number": 59,
"usage_type... |
34701767455 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('login', '0002_usuario_nome'),
]
operations = [
migrations.RenameField(
model_name='usuario',
old_nam... | andersonfantini/example-django-social-login | login/migrations/0003_auto_20150213_1520.py | 0003_auto_20150213_1520.py | py | 380 | python | en | code | 1 | github-code | 36 | [
{
"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.RenameField",
"line_number": 14,
"usage_type": "call"
},
... |
3746638257 | # Standard Library
import argparse
import os
class EnvDefault(argparse.Action):
"""
Helper for the CLI argparse to allow setting defaults through environment variables
Usage: In an argparse argument, set the Action to this class.
Add the extra variable envvar added that has the name of the environ... | abnamro/repository-scanner | components/resc-vcs-scanner/src/vcs_scanner/helpers/env_default.py | env_default.py | py | 1,071 | python | en | code | 137 | github-code | 36 | [
{
"api_name": "argparse.Action",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 18,
"usage_type": "attribute"
}
] |
1048912505 | import torch
from torch import nn
class down_conv(nn.Module):
def __init__(self, in_ch, out_ch):
super(down_conv, self).__init__()
self.conv = nn.Sequential(
nn.Conv2d(in_ch, out_ch, 3, 1, 1),
nn.ReLU(),
nn.Conv2d(out_ch, out_ch, 3, 1, 1),
nn.ReLU()
... | lembolov9/u-net-torch | model.py | model.py | py | 2,331 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_n... |
13960662339 | from django.contrib.auth.decorators import login_required
from django.shortcuts import render, redirect
from django.views.decorators.cache import never_cache
from helfertool.utils import nopermission
from registration.permissions import has_access, ACCESS_CORONA_VIEW, ACCESS_CORONA_EDIT
from registration.utils import ... | helfertool/helfertool | src/corona/views/helper.py | helper.py | py | 2,339 | python | en | code | 52 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "registration.utils.get_or_404",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "registration.permissions.has_access",
"line_number": 24,
"usage_type": "call"
},
{
... |
40520294015 | from pprint import pprint
from functools import reduce
from collections import defaultdict
data = [l.strip() for l in open("input.txt","r").readlines()]
pprint(data)
# part 1
# vowels = ["a","e","i","o","u"]
# forbidden = ["ab", "cd", "pq", "xy"]
# nice = 0
# for line in data:
# vows = sum([1 for ch in line if ch... | archanpatkar/advent2015 | Day-05/sol.py | sol.py | py | 955 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pprint.pprint",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 22,
"usage_type": "call"
}
] |
17066369564 | import pandas as pd
from sklearn.linear_model import LinearRegression
'''dealing with the data'''
def preprocessing(country):
rows = data.loc[(data['countriesAndTerritories'] == country)]
x = rows['dateRep'].iloc[::-1].reset_index(drop=True)
for i in range(x.size):
x[i] = i
size = x.si... | Amy-Liao/COVID-19-Forecast | model.py | model.py | py | 1,577 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 47,
"usage_type": "call"
}
] |
73488488423 |
from requests import get
from scrapy import Selector
response = get("https://fr.wikipedia.org/wiki/Guerre_d%27Alg%C3%A9rie")
source = None
if response.status_code == 200 :
source = response.text
if source :
selector = Selector(text=source)
titles = selector.css("div.toc ul > li")
for title in titles... | LexicoScrap/scrap_test | scrap_test_one.py | scrap_test_one.py | py | 484 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "scrapy.Selector",
"line_number": 11,
"usage_type": "call"
}
] |
40584544669 | import sys
from catchException import exception_handler
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
from requests import ReadTimeout, ConnectTimeout, HTTPError, Timeout, ConnectionError
import pandas as pd
import os
# import requests
# import urllib3
## handle exception properly
##... | adderbyte/finos_viz | dataValuation.py | dataValuation.py | py | 4,312 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.excepthook",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "catchException.exception_handler",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "urllib3.util.retry.Retry",
"line_number": 58,
"usage_type": "call"
},
{
"api... |
43068200237 | import time
from datetime import datetime
import webbrowser
from PySide2.QtSvg import QSvgRenderer
from PySide2.QtCore import Qt, QSize, QRect, QPoint
from PySide2.QtGui import QIcon, QPixmap, QColor, QPainter, QImage, QMouseEvent, QFont, QFontMetrics, QPen, QBrush
from PySide2.QtWidgets import QMainWindow, Q... | Noboxxx/selectionEditor | ui.py | ui.py | py | 23,323 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "PySide2.QtWidgets.QApplication.desktop",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PySide2.QtWidgets.QApplication",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "maya.OpenMayaUI.MQtUtil.mainWindow",
"line_number": 26,
"usage_type... |
42600271957 | import openpyxl
import os, string, sys
from lib import l
DIRS_SOCIUM = ['/media/da3/asteriskBeagleAl/Socium/2017/', '/media/da3/asteriskBeagleAl/Socium/2018/']
def isSNILS(snils):
if snils != None:
t = str(snils).replace('\n',' ').replace(' ', ' ').replace(' ', ' ').replace(' ', ' ').strip()
if... | dekarh/asocium | asocium_loaded.py | asocium_loaded.py | py | 6,570 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "string.digits",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "string.digits",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"li... |
10138616258 | """
called as optimal_model_search.py $TMPDIR $PACKAGEDIR $NPROC $PATTERNDIR $OUTDIR
"""
import sys
import itertools
import logging
import numpy as np
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
from pathlib import Path
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics ... | chiemvs/Weave | hpc/inspect_models.py | inspect_models.py | py | 5,840 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "pathlib.Path",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number"... |
73424751784 | import json
from nose.tools import ok_, eq_, assert_is_not_none
try:
from mock import Mock, patch
except ImportError:
from unittest.mock import Mock, patch
try:
from httplib import OK
except:
from http.client import OK
from uuid import uuid4
from time import sleep
from config import *
from applicat... | belodetek/unzoner-api | src/tests/utils_tests.py | utils_tests.py | py | 4,279 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "application.application.testing",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "application.application",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "application.application.test_client",
"line_number": 30,
"usage_type": "call... |
73118929704 | import os
import tempfile
class WrapStrToFile:
def __init__(self):
# здесь инициализируется атрибут filepath, он содержит путь до файла-хранилища
self._filepath = tempfile.mktemp()
print(self._filepath)
@property
def content(self):
try:
with open(self._filepath... | IlyaOrlov/PythonCourse2.0_September23 | Practice/mtroshin/Lecture_7/3.py | 3.py | py | 1,099 | python | ru | code | 2 | github-code | 36 | [
{
"api_name": "tempfile.mktemp",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.remove",
"line_number": 26,
"usage_type": "call"
}
] |
30395131421 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Mar 20 21:29:31 2021
@author: skibbe
"""
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.multiprocessing as mp
#from . import tools as tls
from pw import tools as tls
import math
#mp.set_start_method(... | febrianrachmadi/BIA_ATLAS2 | deep_patchwork/pw/batch_mat.py | batch_mat.py | py | 4,678 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "torch.float32",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
... |
42243580740 | import numpy as np
import matplotlib.pyplot as plt
import bead_util as bu
save_dir = '/processed_data/spinning/pramp_data/20190626/outgassing/'
files, lengths = bu.find_all_fnames(save_dir, ext='.txt')
times = []
rates = []
for filename in files:
file_obj = open(filename, 'rb')
lines = file_obj.readline... | charlesblakemore/opt_lev_analysis | scripts/spinning/plot_outgassing_analysis.py | plot_outgassing_analysis.py | py | 645 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "bead_util.find_all_fnames",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.argsort",
... |
16109071350 | import requests
authors = ['John Donne', 'George Herbert', 'Andrew Marvell', 'Richard Crashaw', 'Henry Vaughan', 'Anne Bradstreet', 'Katherine Philips', 'Sir John Suckling', 'Edward Taylor']
# authors = ['William Shakespeare']
titles = []
#prohibited_punctuation = [',', ';', ' ', '"']
prohibited_punctuation = [' ', '... | canzhiye/metaphysical-poetry-generator | poetry_grabber.py | poetry_grabber.py | py | 983 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
}
] |
71749898023 | #! /usr/local/bin/python3
""" Currently active courses that have the WRIC attribute.
"""
import sys
from datetime import datetime
# For curric db access
import psycopg2
from psycopg2.extras import NamedTupleCursor
# CGI stuff -- with debugging
import cgi
import cgitb
from pprint import pprint
cgitb.enable(display=0, ... | cvickery/senate-curriculum | Approved_Courses/writing_intensive.py | writing_intensive.py | py | 1,695 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cgitb.enable",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "psycopg2.connect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "psycopg2.extras.NamedTupleCursor",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "dateti... |
2187178006 | import numpy as np
from scipy.spatial.distance import cdist
from scipy.optimize import linprog
from functools import partial
import itertools
def sparse_jump(Y, n_states, max_features, jump_penalty=1e-5,
max_iter=10, tol=1e-4, n_init=10, verbose=False):
# Implementation of sparse jump model
n_o... | Yizhan-Oliver-Shu/continuous-jump-model | regime/.ipynb_checkpoints/sparse_jump-checkpoint.py | sparse_jump-checkpoint.py | py | 11,123 | python | en | code | 3 | github-code | 36 | [
{
"api_name": "numpy.clip",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.repeat",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 12... |
2628241264 | from datetime import timedelta
from pathlib import Path
import environ
import os
env = environ.Env()
BASE_DIR = Path(__file__).resolve().parent.parent
DEBUG = env.bool("DJANGO_DEBUG", True)
SECRET_KEY = os.getenv(
"DJANGO_KEY",
default="django-insecure-c1@)8!=axenuv@dc*=agcinuw+-$tvr%(f6s9^9p9pf^7)w+_b",
)
#... | mohamedsamiromar/family-tree | family_tree/settings/base.py | base.py | py | 3,990 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "environ.Env",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.timedelta",
"line_numbe... |
35862806433 | import datetime
import pytest
from lizaalert.users.models import UserRole
@pytest.fixture
def user(django_user_model):
return django_user_model.objects.create_user(username="TestUser", password="1234567", email="test@test.com")
@pytest.fixture
def user_2(django_user_model):
return django_user_model.object... | Studio-Yandex-Practicum/lizaalert_backend | src/tests/user_fixtures/user_fixtures.py | user_fixtures.py | py | 1,978 | python | en | code | 7 | github-code | 36 | [
{
"api_name": "pytest.fixture",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pytest.fixture",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "rest_framework_simplejwt.tokens.RefreshToken.for_user",
"line_number": 22,
"usage_type": "call"
... |
73094876263 |
import numpy as np
import matplotlib.pyplot as plt
from pathlib import Path
from PIL import Image
from skimage import io, morphology, measure
import pandas as pd
class LabelFieldOperations:
def __init__(self, labelVol):
self.labelVol = labelVol
def MaskLabels(self, mask):
print('masking inc... | lcubelongren/ElephantTrunkMuscles | VolumeOperations.py | VolumeOperations.py | py | 3,323 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.where",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.isin",
"line_number": ... |
11089039079 | import yaml
import praw
import time
def connect_to_reddit(config):
reddit = praw.Reddit(username=config["auth"]["username"],
password=config["auth"]["password"],
user_agent=config["auth"]["user_agent"],
client_id=config["auth"]["client_id"]... | nouveaupg/mass_dm | broadcast_dm.py | broadcast_dm.py | py | 2,255 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "praw.Reddit",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "praw.exceptions",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "yaml.safe_load",
"line... |
7690140597 | from collections import defaultdict
class Graph:
def __init__(self, vertices):
self.V = vertices
self.graph = defaultdict(list)
def addEdge(self, v, w):
self.graph[v].append(w)
self.graph[w].append(v)
def isCyclicUtil(self, v, visited, parent):
visited[v] = T... | thisisshub/DSA | Q_graphs/problems/detecting_cycle/A_in_the_undirected_graph.py | A_in_the_undirected_graph.py | py | 1,144 | python | en | code | 71 | github-code | 36 | [
{
"api_name": "collections.defaultdict",
"line_number": 9,
"usage_type": "call"
}
] |
34377485430 | """
The :py:mod:`~ahk.script` module, most essentially, houses the :py:class:`~ahk.ScriptEngine` class.
The :py:class:`~ahk.ScriptEngine` is responsible for rendering autohotkey code from jinja templates and executing that
code. This is the heart of how this package works. Every other major component either inherits f... | Frankushima/LeagueAccountManager | ahk/script.py | script.py | py | 7,406 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "ahk.utils.make_logger",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "shutil.which",
... |
8254311544 | import numpy as np
import pygame
from sys import exit
#Initializing Parameters
pygame.init()
displayInfo = pygame.display.Info()
screenWidth = displayInfo.current_w
screenHeight = displayInfo.current_h
display_surface = pygame.display.set_mode((screenWidth, screenHeight-50), pygame.RESIZABLE)
pygame.display.set_capt... | bfelson/Python-Game-Engine | engine.py | engine.py | py | 4,993 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.display.Info",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_m... |
70108688104 | import yt
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import unyt
from unyt import cm, s
# 9 different simulations with a few snapshots:
# NIF_hdf5_plt_cnt_0*
#frames = [000,125,250,275,300,32,350,375,425]
ds = yt.load('/scratch/ek9/ccf100/nif/turb_foam_gamma_5_3_3d_1024_50mu_bubbles/NIF_hdf5... | dcollins4096/p68c_laser | script1.py | script1.py | py | 2,199 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "yt.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 4... |
18423321387 | import torch
from torch import nn
import pytorch_lightning as pl
from transformers import AutoTokenizer
import os
import pandas as pd
import numpy as np
from config import CONFIG
class CommonLitDataset(torch.utils.data.Dataset):
def __init__(self, df):
self.df = df
self.full_text_tokens = df['fu... | alexeyevgenov/Kaggle_CommonLit-Evaluate_Student_Summaries | code/dataset.py | dataset.py | py | 2,348 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.utils",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.tensor",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.float32",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "pytorch_lightning.Li... |
39047349636 | '''Tests for the classification module.'''
import pytest
import torch
import torch.nn as nn
from torch.utils.data import TensorDataset, DataLoader
from sklearn.model_selection import train_test_split
from torchutils.classification import Classification
@pytest.fixture(params=[1, 10])
def data_num_features(request):... | joseph-nagel/torchutils | tests/test_classification.py | test_classification.py | py | 2,598 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pytest.fixture",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.manual_seed",
... |
3023655025 | import os
from PIL import Image
import PIL.ImageOps
import argparse
import torchvision as V
import matplotlib.pyplot as plt
import ujson as json
import glob
import re
from . import configs
import rich
from rich.progress import track
console = rich.get_console()
def cifar10_burst(dest: str, split: str):
assert(spli... | cdluminate/MyNotes | rs/2022-veccls/veccls/cifar10.py | cifar10.py | py | 1,809 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rich.get_console",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_num... |
32341335567 | #!/usr/bin/env python
'''
Here we create a 7 shell module, plot its cross section, and plot a 3D
representation. Note: the 3D representation uses polygons to construct
the module shells (but within the software, the shells are constructed
mathematically to have perfect curvature).
Created on Aug 15, 2011
@author: ... | humatic/foxsi-optics-sim | examples/example1.py | example1.py | py | 1,040 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "foxsisim.module.Module",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "mat... |
3336257171 | from __future__ import print_function
import os.path
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
import requests
import time
import pandas as pd
import json
from pp... | ur2136/DrinkEasy | CodeBase/BackEnd/Pre-Processing Scripts/googleplaces.py | googleplaces.py | py | 7,915 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.path.exists",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "google.oauth2.credentia... |
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