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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
70734487714 | import sys
import pygame
from pygame.locals import KMOD_CTRL
from pygame.locals import KMOD_SHIFT
from pygame.locals import K_ESCAPE
from pygame.locals import K_F1
from pygame.locals import K_SLASH
from pygame.locals import K_TAB
from pygame.locals import K_h
from pygame.locals import K_i
from pygame.locals import K_... | bounverif/starter-carla-0913 | client/app/input_control.py | input_control.py | py | 4,044 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "pygame.quit",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pygame.mouse.get_pos",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "pygame.mouse",
"line_nu... |
16813683773 | #!/usr/bin/env python
from random import randint
from typing import Union
import tcod.color
from pyrl.components import Equipment, Inventory, Level, Player, Stairs
from pyrl.components.equippable import Equippable, Slot
from pyrl.components.item import Item
from pyrl.components.visual import RenderOrder
from pyrl.com... | abesto/pyrl | pyrl/mapgen.py | mapgen.py | py | 9,324 | python | en | code | 15 | github-code | 1 | [
{
"api_name": "resources.map.Map",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "resources.map.Rect",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "resources.map.Map",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "resources.map.... |
28567208455 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"Interval detection: finding flat sections in the signal"
import numpy as np
from utils import initdefaults
from signalfilter import PrecisionAlg, CppPrecisionAlg
from .splitting import SplitDetector, PyMultiGradeSplitDetector
from .merging import PyMulti... | depixusgenome/trackanalysis | src/eventdetection/detection.py | detection.py | py | 2,828 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "signalfilter.PrecisionAlg",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "splitting.SplitDetector",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "splitting.PyMultiGradeSplitDetector",
"line_number": 27,
"usage_type": "call"
},
{
... |
37412146341 | from django.shortcuts import render
# Create your views here.
# start game fonk
def start_game(request):
if request.method == 'POST':
name = request.POST.get('name')
image = request.FILES.get('image')
puzzle = generate_puzzle(image)
request.session['name'] = name
request.se... | melihamutlu/proje-1-deneme-repo- | myproject/myapp/views.py | views.py | py | 6,281 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.shortcuts.render",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "models.Player.objects.get_or_create",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "models.Player.objects",
"line_number": 31,
"usage_type": "attribute"
},
{... |
73582809634 | import pytest
from src.kbt.helpers import divide_by_lines, numbers
def test_divide_by_lines_error():
data = [1, 2, 3, 4, 5, 6, 7, 8]
with pytest.raises(Exception) as e:
divide_by_lines(data, None)
assert "Error trying to divide the data in None" in str(e)
def test_divide_by_lines_error():
da... | miguelitogemio96/kata_bank_tool | test/test_helpers.py | test_helpers.py | py | 1,052 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pytest.raises",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "src.kbt.helpers.divide_by_lines",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "src.kbt.helpers.divide_by_lines",
"line_number": 16,
"usage_type": "call"
},
{
"api_n... |
22697300099 | import altair as alt
import math
import pandas as pd
import streamlit as st
from PIL import Image
"""
# Which German Business Sector are you?
Take this personality quiz to find out which part of the Volkswirtschaft is your spirit animal.
This uses clustering from the ifo Business Climate Survey taken by thousands of... | merveogretmek/ifoHack-2023 | ifoHack2023-ForecastFanatics/website/Quiz.py | Quiz.py | py | 7,372 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "streamlit.title",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "streamlit.radio",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "streamlit.text",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "streamlit.text",
"... |
13988952340 | # -*- coding: UTF-8 -*-
import json
from xf import text_tovoice
from xf import voice_totext
from xf import text_tovoice_totext
import time
def test1():
print("---start---")
start = time.time()
voiceResultStr = text_tovoice.init('百度传来了喜讯',
"E:/jianguocloud/learn/Python... | lanceNice/base_utils | xf/test.py | test.py | py | 1,199 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "time.time",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "xf.text_tovoice.init",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "xf.text_tovoice",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line... |
70431741475 | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 5 21:46:21 2022
@author: Cumali Atalan
"""
#%%
#gerekli kütüphaneler import edilir.
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from collections import Counter
from tensorflow import keras
from keras.mo... | cumaliatalan/Yapay-Sinir-Aglari | CNN/CNN.py | CNN.py | py | 4,564 | python | tr | code | 0 | github-code | 1 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "keras.preprocessing.image.ImageDataGenerator",
"line_number": 68,
"usage_type": "call"
},
{
... |
7688472178 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from pytorch_transformers.modeling_bert import BertPooler, BertSelfAttention, BertConfig
from layers.attention import Attention, NoQueryAttention
from layers.squeeze_embedding import SqueezeEmbedding
class GNN(nn.Module):
def _... | wwz58/bert-gcn | models/bert_albert_gcn.py | bert_albert_gcn.py | py | 8,282 | python | en | code | 7 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "torch.nn.Parameter",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
6033659494 | import typing as t
"""
Tags: Adjacency matrix
The algorithm finds all shortest path pairs. The graph needs to be represented
as an adjacency matrix.
Example graph definition:
A B C D
A 0 8 INF 1
B INF 0 1 INF
C 4 INF 0 INF
D INF 2 9 0
The diagonal ^ is 0s because the node's ... | EvgeniiTitov/coding-practice | coding_practice/data_structures/graphs/apsp/floyd_warshall_implementstion_1.py | floyd_warshall_implementstion_1.py | py | 2,013 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "typing.Any",
"line_number": 32,
"usage_type": "attribute"
}
] |
14617850309 | import random
from math import sqrt
from scipy.interpolate import lagrange
from main_folder.smpc_addition.network_nodes.RandPoly import RandPoly
class SmpcAdditionNode:
def __init__(self) -> None:
pass
def generate_functions(self, record):
all_functions = []
for feature in... | mswartz2/Secure-Multiparty-Computation-Main-Code | main_folder/smpc_addition/network_nodes/SmpcAdditionNode.py | SmpcAdditionNode.py | py | 2,734 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "main_folder.smpc_addition.network_nodes.RandPoly.RandPoly",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 23,
"usage_type": "call"
},
... |
39285481089 | import cv2 as cv
import sys
#loads the using weights and correspding configuration rule
def load_model(model_weights="",model_config=""):
if model_weights == "" and model_config == "":
print("Model config and weights not found!");
sys.exit(0);
net = cv.dnn.readNet(model_weights,model_config);
return net;
de... | PrateekMunjal/Face-detection-webcam-opencv | model.py | model.py | py | 495 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "sys.exit",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.dnn.readNet",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.dnn",
"line_number": 11,
"usage_type": "attribute"
}
] |
2418374637 | import logging
from odoo import api, models, _
from odoo.tools import ormcache
from odoo.tools.config import config, to_list
_logger = logging.getLogger(__name__)
WEB_BASE_URL_FREEZE = 'web.base.url.freeze'
class IrConfigParameter(models.Model):
_inherit = 'ir.config_parameter'
@api.model
@ormcache()
... | decgroupe/odoo-addons-dec | base_url_freeze_filtering/models/ir_config_parameter.py | ir_config_parameter.py | py | 889 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "odoo.models.Model",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "odoo.tools.config... |
32343761147 | #!/usr/bin/env python3
"""
trivial strategy
"""
import archon.config as config
import traceback
from datetime import datetime
#import archon.broker as broker
from archon.brokersrv.brokerservice import BrokerService
import archon.exchange.exchanges as exc
import archon.exchange.bitmex.bitmex as mex
import archon.exc... | economicnetwork/marketmaker | simple_maker.py | simple_maker.py | py | 7,904 | python | en | code | 7 | github-code | 1 | [
{
"api_name": "strat.Strategy",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "archon.custom_logger.setup_logger",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "ar... |
13810826097 | from selenium import webdriver
from selenium.webdriver.common.alert import Alert
from random import choice, randint
import win32com.client as comclt
import win32gui
import win32con
import time
def handle_upload_file_dialog(file_path):
sleep = 1
windowsShell = comclt.Dispatch("WScript.Shell")
time.sleep(sle... | thespacemanatee/SingHealth-App | __tests__/python test/Staff/CreateThenDeleteNewTenant.py | CreateThenDeleteNewTenant.py | py | 2,074 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "win32com.client.Dispatch",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "win32com.client",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
70271092515 | from __future__ import absolute_import
from pymongo import MongoClient
from pymongo.database import Database
from pymongo.collection import Collection
import six
class_to_class_name = {
str: 'unicode',
six.text_type: 'unicode',
bool: 'bool',
list: 'list',
tuple: 'list',
int: 'in... | brainvisa/axon | python/fedji/mongodb_backend.py | mongodb_backend.py | py | 2,113 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "six.text_type",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "pymongo.database.Database",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "pymon... |
8513594705 | """ Utilities module.
"""
import datetime as dt
import pkg_resources
import barbante
def local_import(name):
""" Returns the module *name*.
Attributes:
name - the name of the module to be imported.
Exception:
TypeError - if *name* is not a string.
ImportErr... | hypermindr/barbante | barbante/utils/__init__.py | __init__.py | py | 3,449 | python | en | code | 10 | github-code | 1 | [
{
"api_name": "barbante.__name__",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "pkg_resources.resource_stream",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "barbante.__name__",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_n... |
28718464379 | # -*- coding: utf-8 -*-
"""Model Examples."""
import numpy as np
import sympy
from sympy import symbols
from causing.model import Model
from causing.simulate import SimulationParams, simulate
data_path = __file__.split("causing")[0]
def example():
"""model example"""
X1, X2, Y1, Y2, Y3 = symbols(["X1", "X... | ZJfang-code/Causing | causing/examples/models.py | models.py | py | 6,543 | python | en | code | null | github-code | 1 | [
{
"api_name": "sympy.symbols",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "causing.model.Model",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "causing.simulate.simulate",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "causing.s... |
73545450914 | import discord
import asyncio
import crawl_rss as cr
from tokens import Token
client = discord.Client()
token = Token.discord_token
async def my_background_task():
await client.wait_until_ready()
channel = client.get_channel(Token.discord_channel)
await channel.send(cr.messageFormat())
while not cli... | klsw725/YWAM-CMSE-contemplation-bot | discord_bot.py | discord_bot.py | py | 670 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "discord.Client",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tokens.Token.discord_token",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "tokens.Token",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "tokens.Token... |
16401486914 | import requests
from twilio.rest import Client
from decouple import config
STOCK_NAME = "TSLA"
COMPANY_NAME = "Tesla Inc"
FUNCTION = "TIME_SERIES_DAILY"
MY_API = config("MY_API", default="")
NEW_API = config("NEW_API", default="")
TWILIO_SID = config("TWILIO_SID", default="")
TWILIO_TOKEN = config("TWILIO_TOKEN", def... | isik-dev/Stock-Price-Monitor | main.py | main.py | py | 2,001 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "decouple.config",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "decouple.config",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "decouple.config",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "decouple.config",
... |
72920658275 | from django.db import models
from django.utils.html import mark_safe
from edc_base.model_mixins import BaseUuidModel
from edc_base.sites.site_model_mixin import SiteModelMixin
from edc_base.utils import get_utcnow
from edc_consent.field_mixins import VerificationFieldsMixin
from edc_identifier.model_mixins import NonUn... | botswana-harvard/edc-odk | edc_odk/models/consent_copies.py | consent_copies.py | py | 1,675 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "edc_consent.field_mixins.VerificationFieldsMixin",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "edc_identifier.model_mixins.NonUniqueSubjectIdentifierModelMixin",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "edc_base.sites.site_model_mixin... |
11817995914 | from bokeh.plotting import figure
from bokeh.io import curdoc
from bokeh.models import GeoJSONDataSource, ColorBar
from bokeh.models import DatetimeTickFormatter, PrintfTickFormatter, NumeralTickFormatter, NumeralTickFormatter
from bokeh.models import HoverTool, WheelZoomTool
from bokeh.models import LogColorMapper, Li... | annakuchko/map-app | app/plotting.py | plotting.py | py | 2,128 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "app.constants.MAP_PALLETE",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "app.constants",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "app.config.MAP_BREEZE",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name"... |
29932380680 | import json
import re
from collections import Counter, defaultdict
from pathlib import Path
from typing import Union
import arabic_reshaper
import demoji
import seaborn as sns
from hazm import Normalizer, sent_tokenize, word_tokenize
from loguru import logger
from src.data import DATA_DIR
from wordcloud import WordClo... | mohammad-chegini/telegram_statistics | src/chat_statistics/stats.py | stats.py | py | 4,142 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.Union",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "loguru.logger.info",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "loguru.logger",
"lin... |
17775025297 | import sys
sys.path.insert(0, './src')
# import os
# os.getcwd()
# os.chdir('../')
from importlib import reload
import numpy as np
np.set_printoptions(suppress=True)
import pickle
from envs import merge
reload(merge)
from envs.merge import EnvMerge
import os
import time
import json
import matplotlib.pypl... | saArbabi/DriverActionEstimators | src/data/data_collection.py | data_collection.py | py | 7,095 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "sys.path.insert",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "numpy.set_printoptions",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "importlib.reload",
... |
71112251874 | from AIPUBuilder.Optimizer.utils import *
from AIPUBuilder.Optimizer.framework import *
from AIPUBuilder.Optimizer.ops.rnn import *
from AIPUBuilder.Optimizer.ops.conv import clear_lower_bits_for_bias
from AIPUBuilder.Optimizer.logger import *
import torch.nn as nn
split_weights_name = ['wx_gk', 'wh_gk', 'wx_ck', 'wh... | Arm-China/Compass_Optimizer | AIPUBuilder/Optimizer/ops/gruv3.py | gruv3.py | py | 28,357 | python | en | code | 18 | github-code | 1 | [
{
"api_name": "torch.nn.flip",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "torch.nn.cat",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 43,... |
11313645218 | from django.shortcuts import render
from django.http import HttpResponse
from property.choice import price_choices, bedroom_choices, county_choices
from property.models import Property
from accounts.models import Owner
def index(request):
propertys = Property.objects.order_by('-list_date')
context = {
... | paulndalila/ComfortHomes | pages/views.py | views.py | py | 867 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "property.models.Property.objects.order_by",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "property.models.Property.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "property.models.Property",
"line_number": 9,
"usage_type": ... |
41592148020 | from rest_framework.views import APIView
from dj_rest_auth.views import AllowAny
from django.http import FileResponse, HttpRequest, HttpResponse, JsonResponse
from rest_framework.decorators import api_view
from rest_framework.request import Request
from tempfile import NamedTemporaryFile
from docxtpl import DocxTemplat... | joshUAC7/rubrica | core/views.py | views.py | py | 2,945 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework.views.APIView",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "dj_rest_auth.views.AllowAny",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "drfauth.models.Document.objects.get",
"line_number": 20,
"usage_type": "call"
... |
31868037338 | import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
df = pd.read_csv (r'Seed Yield.csv')
print (df)
sns.set_theme(style="whitegrid")
# Draw a nested barplot by cultivar and irrigation
g = sns.catplot(
data=df, kind="bar",
x="Cultivar", y="Seed Yield", hue="Irrigation",
ci="sd", palette... | Aria-Dolatabadian/Grouped-bar-plots | Code.py | Code.py | py | 457 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "seaborn.set_theme",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "seaborn.catplot",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show... |
15432766798 | import json
from os import PathLike
from pathlib import Path
from typing import Any, Dict, List, MutableMapping, Union
import yaml
STRUCTURE = {
"Dataset": [
"dataset_name",
"dataset_config",
"dataset_revision",
"labelcolumn",
"textcolumn",
],
"Training": [
... | BramVanroy/transformers-finetuner | transformers_finetuner/generate_readme.py | generate_readme.py | py | 4,972 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.MutableMapping",
"line_number": 44,
"usage_type": "argument"
},
{
"api_name": "typing.Dict",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"... |
72402872993 | import os
import random
import torch
import torchvision.transforms as T
from PIL import Image
from torch.utils import data
def rreplace(s, old, new, occurrence):
li = s.rsplit(old, occurrence)
return new.join(li)
class ImageAttr(data.Dataset):
"""Dataset class for the ImageAttr dataset."""
def __in... | hologerry/Attr2Font | dataloader.py | dataloader.py | py | 9,937 | python | en | code | 219 | github-code | 1 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "random.... |
30417780326 | from typing import Optional
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
persons = [{"id": 1, "ad": "Seyma", "soyad": "Sarigil", "meslek": "Gelistirici", "memleket": "Hatay"},
{"id": 2, "ad": "Alp", "soyad": "Kara", "meslek": "Müzisyen", "memleket": "İstanbul"}]
class Person... | seymasa/PersonApi | main.py | main.py | py | 1,248 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 12,
"usage_type": "name"
}
] |
70309881313 |
from rest_framework_simplejwt.serializers import TokenObtainPairSerializer
from rest_framework_simplejwt.views import TokenObtainPairView
from rest_framework import exceptions
class StaffTokenObtainPairSerializer(TokenObtainPairSerializer):
def validate(self, attrs):
data = super().validate(attrs)
... | Dayroot/Ciclo3_Backend | bookstoreApp/views/staffViews/staffTokenObtainPairView.py | staffTokenObtainPairView.py | py | 935 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework_simplejwt.serializers.TokenObtainPairSerializer",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "rest_framework.exceptions.AuthenticationFailed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "rest_framework.exceptions",
"lin... |
22905237190 | ## set up logging
import logging, os
logging.basicConfig(level=os.environ.get("LOGLEVEL","INFO"))
log = logging.getLogger("glam_command_line")
import argparse, glob, json, subprocess, sys
import glam_data_processing.legacy as glam
from datetime import datetime
# create temporary directory for shenanigans
TEMP_DIR = o... | fdfoneill/glam_data_processing | glam_data_processing/generate_new_stats.py | generate_new_stats.py | py | 7,853 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
... |
74495158433 | from aiogram import types
from aiogram.dispatcher import FSMContext
from aiogram.types import InlineKeyboardMarkup, InlineKeyboardButton
from data.config import admins
from keyboards.default.menu_keyboards import menu
from keyboards.inline.callback_datas import report_data
from loader import dp, db, bot
from states.me... | arsavit/av_by_B4L | handlers/users/reports.py | reports.py | py | 2,583 | python | ru | code | 0 | github-code | 1 | [
{
"api_name": "aiogram.types.CallbackQuery",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "aiogram.types",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "aiogram.dispatcher.FSMContext",
"line_number": 13,
"usage_type": "name"
},
{
"api_... |
31409330642 | from time import time
import glob
from sys import argv
import cv2
import pickle
import shutil
from sklearn.cluster import KMeans
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import f1_score, confusion_matrix
from sklearn import preprocessing, svm
import numpy as np
## Inputs
k1 = 50
rele... | DavidLebrisse/RecoImgSSII | recoimg5.py | recoimg5.py | py | 5,238 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "glob.glob",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 93,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 101,
... |
35823720174 |
# geocoding
from zope import interface, component
from getpaid.core.interfaces import IStoreSettings, IShippableLineItem, IOrder, IOriginRouter
from getpaid.core.payment import ContactInformation
import interfaces
class OriginRouter( object ):
" warehouse aware origin router "
component.adapts( ... | collective/getpaid.warehouse | src/getpaid/warehouse/router.py | router.py | py | 1,956 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "zope.component.adapts",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "getpaid.core.interfaces.IOrder",
"line_number": 16,
"usage_type": "argument"
},
{
"api_name": "zope.component",
"line_number": 16,
"usage_type": "name"
},
{
"api_name"... |
2687030494 | from torchvision.datasets import CIFAR10, CIFAR100, MNIST, SVHN, FashionMNIST
from data.MVTecDataset import getMVTecDataset
from data.AdaptiveExposureDataset import getAdaptiveExposureDataset
import os
import torch
import numpy as np
import torchvision.transforms as transforms
from torch.utils.data import Dataset
from ... | Mohammadjafari80/ExposureExperiment | data/data_utils.py | data_utils.py | py | 9,035 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "data.constants.CIFAR10_PATH",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "data.constants.CIFAR100_PATH",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "data.constants.MNIST_PATH",
"line_number": 21,
"usage_type": "name"
},
{
... |
32918049245 | import logging
import time
import dataset
import discord
from discord import Member
from discord.ext import commands
from cogs.commands import settings
from utils import database, embeds
# Enabling logs
log = logging.getLogger(__name__)
class MutesHandler(commands.Cog):
"""Handles actions such as mute evasion.... | richtan/chiya | cogs/listeners/mutes_handle.py | mutes_handle.py | py | 3,224 | python | en | code | null | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Cog",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "... |
25411278935 | import logging
import psutil
import signal
from devil.android import device_errors
from devil.android import device_utils
def _KillWebServers():
for s in [signal.SIGTERM, signal.SIGINT, signal.SIGQUIT, signal.SIGKILL]:
signalled = []
for server in ['lighttpd', 'webpagereplay']:
for p in psutil.proces... | hanpfei/chromium-net | build/android/pylib/utils/test_environment.py | test_environment.py | py | 1,425 | python | en | code | 289 | github-code | 1 | [
{
"api_name": "signal.SIGTERM",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "signal.SIGINT",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "signal.SIGQUIT",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "signal.SIG... |
10671644338 | # -*- coding: utf-8 -*-
"""HTTP Endpoint for Netflix session management"""
from __future__ import absolute_import, division, unicode_literals
import json
import BaseHTTPServer
from SocketServer import TCPServer
import resources.lib.common as common
from .nfsession import NetflixSession
class NetflixHttpRequestHand... | Toysoft/plugin.video.netflix | resources/lib/services/nfsession/http_server.py | http_server.py | py | 1,755 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "BaseHTTPServer.BaseHTTPRequestHandler",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "resources.lib.common.debug",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "resources.lib.common",
"line_number": 23,
"usage_type": "name"
},... |
31900586339 | # -*- coding: utf-8 -*-
"""
@File : balancedString.py
@Author : wenhao
@Time : 2023/2/13 9:26
@LC : 1234
"""
from math import inf
from collections import Counter
class Solution:
'''
思路：
同向双指针：
'''
def balancedString(self, s: str) -> int:
cnt, m = Counter(s), len(s)
if ... | callmewenhao/leetcode | 基础算法精讲/双指针/balancedString.py | balancedString.py | py | 662 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.Counter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "math.inf",
"line_number": 22,
"usage_type": "name"
}
] |
27287177163 | """
Imagelab is the core class in CleanVision for finding all types of issues in an image dataset.
The methods in this module should suffice for most use-cases,
but advanced users can get extra flexibility via the code in other CleanVision modules.
"""
from __future__ import annotations
import random
from typing impor... | cleanlab/cleanvision | src/cleanvision/imagelab.py | imagelab.py | py | 27,188 | python | en | code | 725 | github-code | 1 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "typing.TypeVar",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 120,
"usage_type": "name"
},
{
"api_name": "typing.Optional"... |
32738239065 | from ..binary import BinaryReader, BinaryWriter
from ..binary.types import Int8, Int16, Int32, UInt8, UInt16, UInt32
class HKHeader:
"""Represents Havok file header
"""
# fmt:off
magic0: UInt32 = 0x57E0E057 # 0x00 # Always 0x57E0E057
magic1: UInt32 = 0x10C0C010 # 0x04 # Always 0x10C0C010
... | krenyy/botw_havok | botw_havok/container/header.py | header.py | py | 5,236 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "binary.types.UInt32",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "binary.types.UInt32",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "binary.types.Int32",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "binary.typ... |
38682966906 | import cv2
import argparse
ap = argparse.ArgumentParser()
ap.add_argument('-i' ,'--image' ,required=True ,help = 'path to the input image')
args = vars(ap.parse_args())
image = cv2.imread(args['image'])
gray = cv2.cvtColor(image ,cv2.COLOR_BGR2GRAY)
blurred = cv2.GaussianBlur(gray ,(5 ,5) ,0)
#last argument in blurri... | suhaneshivam/Computer_vision | Image_operations/Center_of_shape/center_of_shape.py | center_of_shape.py | py | 994 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
... |
12828462305 | # pygame python第三方游戏库 .pyd 动态模块(可以导入,但是看不到源码) .py 静态模块
import pygame # 官方推荐这样导入
from pygame.locals import *
import sys
import time
import random
# 定义常量记录数据 (常量特点: 字母全大写 一旦定义,不要修改记录的值)
WINDOW_H = 768
WINDOW_W = 512
class Bullet: # 子弹类
def __init__(self, img_path, x, y, window):
self.img... | OreoCookiesYeah/base2 | hm_07_敌机移动.py | hm_07_敌机移动.py | py | 5,393 | python | zh | code | 0 | github-code | 1 | [
{
"api_name": "pygame.image.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pygame.image.load",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pygame.image",
... |
41507098196 | import matplotlib.pyplot as plt
import plotly.graph_objs as go
from plotly.offline import plot
from plotly.subplots import make_subplots
def plot_clandlestics(df):
fig = go.Figure(data=[go.Candlestick(x=df['date'],
open=df['open'],
high=df... | luistiagos/stockssignals | plots.py | plots.py | py | 2,488 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "plotly.graph_objs.Figure",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objs",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "plotly.graph_objs.Candlestick",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": ... |
4206675975 | """SmartDevice URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-b... | skyu0221/IoT | backend-server/SmartDevice/urls.py | urls.py | py | 1,950 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "rest_framework.routers",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "sensors.views.UserViewSet",
"line_number": 23,
"usage_type": "attribute"
},... |
17656393605 | from keras.preprocessing.image import ImageDataGenerator
from keras.applications.inception_v3 import InceptionV3
from keras import backend as K
K.set_image_dim_ordering('th')
import numpy as np
import os
#Здесь делаем аугментацию.
# Для этого в Keras предусмотрены так называемые ImageDataGenerator.
# Они будут брать ... | ValeryShestakovv/keras_incepnionV3_binary_classification | bottleneck_features.py | bottleneck_features.py | py | 3,937 | python | ru | code | 0 | github-code | 1 | [
{
"api_name": "keras.backend.set_image_dim_ordering",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "keras.backend",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "keras.applications.inception_v3.InceptionV3",
"line_number": 19,
"usage_type": "call"
... |
46357130631 | import numpy as np
import matplotlib.pyplot as plt
from control.matlab import *
m1 = 0.8
m2 = 0.2
k1 = 100
c1 = 1
c2 = 0.3
Ks = 100
M = np.matrix([[m1, 0],[0, m2]])
C= np.matrix([[c1+c2, -c2],[-c2, c2]])
F = np.matrix([[Ks],[0]])
iM = np.linalg.inv(M)
Bp = np.concatenate([np.zeros((2,1)), iM*F])
Cp = [0,1,0,0]
Dp ... | RyoheiTK/robust-control | sample/robust_4_1.py | robust_4_1.py | py | 1,065 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.matrix",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.matrix",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.matrix",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.inv",
"line_n... |
41035339624 | import importlib
import itertools
import random
from sqlalchemy import and_
from sqlalchemy import Boolean
from sqlalchemy import case
from sqlalchemy import cast
from sqlalchemy import Column
from sqlalchemy import column
from sqlalchemy import dialects
from sqlalchemy import exists
from sqlalchemy import extract
fro... | sqlalchemy/sqlalchemy | test/sql/test_compare.py | test_compare.py | py | 66,864 | python | en | code | 8,024 | github-code | 1 | [
{
"api_name": "sqlalchemy.MetaData",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.MetaData",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Table",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.C... |
19906847432 | import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Activation
from keras.layers import LSTM
import string
import keras
# DONE: fill out the function below that transforms the input series
# and window-size into a set of input/output pairs for use with our RNN model
def window_tran... | vincentmhhon/aind2-rnn | my_answers.py | my_answers.py | py | 2,304 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.asarray",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.shape",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
... |
15926540509 | from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render
from .models import Swell, Tide, SurfSession, SurfSpot
from datetime import datetime, timedelta, timezone
from .forms import AddSessionForm, AddSurfSpot, SessionMatchesConditions, SessionMatchesTimeAndPlace
# adding a ses... | kremerica/surfiq | surfinfo/views.py | views.py | py | 8,550 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.shortcuts.render",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "forms.AddSessionForm",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.SurfSession.from_surfline",
"line_number": 35,
"usage_type": "call"
},
{
"api... |
18636425161 | import datetime as dt
from datetime import timedelta
from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from airflow.operators.python_operator import PythonOperator
def greet(r_date):
print('Writing in file')
with open('./greet.txt', 'a+', encoding='utf8') as f:
now = dt.d... | madhur09/apache_airflow | airflow_home/dags/simple_dag.py | simple_dag.py | py | 1,403 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.datetime.now",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "dateti... |
34009029856 | import random
import time
import queue
import hashlib
from threading import *
from treelib import Node, Tree
from datetime import timedelta
import threading
lock = Lock() # Global LOCK (use to mutual exclusion)
n = 3 # Network cardinality (number of processes in the network)
growth_speed = 0.1 # regulates the growth... | czanacch/blockchain_algorithms | PaLa/PaLa4.py | PaLa4.py | py | 12,007 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "queue.Queue",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "queue.Queue",
"line_number": ... |
11481603432 | import sys,re,difflib,time,datetime
import numpy as np
from array import array
np.set_printoptions(threshold=sys.maxsize)
import matplotlib.pyplot as plt
import networkx as nx
def show_graph_with_labels(adjacency_matrix, mylabels):
rows, cols = np.where(adjacency_matrix != 0)
edges = zip(rows.tolist(), cols.to... | FabienCharmet/MDPRA | showgraph.py | showgraph.py | py | 680 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.set_printoptions",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.maxsize",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.where",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "networkx.Graph",
... |
33422209146 | from google.cloud import aiplatform
import numpy as np
endpoint_name = "text-classification_endpoint"
endpoint = aiplatform.Endpoint.list(filter=f'display_name="{endpoint_name}"')[0]
text = "I love going to the movies!"
result = endpoint.predict(instances=[{'content': text}])
prediction = result.predictions[0]
names =... | MeTaNoV/model-training | test/scripts/inference/text_classification_inference.py | text_classification_inference.py | py | 499 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "google.cloud.aiplatform.Endpoint.list",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "google.cloud.aiplatform.Endpoint",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "google.cloud.aiplatform",
"line_number": 5,
"usage_type": "name... |
36866813408 | import fnmatch
import os
import PyPDF2
import openpyxl
from PyPDF2 import PdfReader
from openpyxl.styles import Border, Side, Font, Alignment
from openpyxl.worksheet.worksheet import Worksheet
excel_path = os.getcwd()
listOfFiles = os.listdir('.')
pdf_files = [f for f in listOfFiles if f.endswith('.pdf')]
pdf_files.... | alekspetrov3009/MACROS | Заполнение служебной записки/zap.py | zap.py | py | 5,583 | python | ru | code | 0 | github-code | 1 | [
{
"api_name": "os.getcwd",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 21,
... |
348772121 | # -*- coding: utf-8 -*-
"""
Created on Thu Jun 21 15:42:31 2018
@author: Ashish Chouhan
"""
#The optimal values of m and b can be actually calculated with way less effort than doing a linear regression.
#this is just to demonstrate gradient descent
import numpy as np
from matplotlib import pyplot as plt
# y = mx +... | achouhan93/Machine_Learning | Linear Regression/GradientDescent_With Plot Feature.py | GradientDescent_With Plot Feature.py | py | 2,566 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
31278878919 | import os
import cv2
def count_frames(path, override=False):
# grab a pointer to the video file and initialize the total
# number of frames read
video = cv2.VideoCapture(path)
total = 0
# if the override flag is passed in, revert to the manual
# method of counting frames
if override:
total = count_frames_manua... | DimasVeliz/ExtractingFrames | resolvingFrames.py | resolvingFrames.py | py | 2,869 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.__version__",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "cv2.CAP_PROP_FRAME_COUNT",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "cv... |
14807809950 | from typing import cast, TYPE_CHECKING
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from starlette.requests import HTTPConnection
from starlite import (
AbstractAuthenticationMiddleware,
AuthenticationResult,
NotAuthorizedException,
)
from database.model import User
from s... | ppkpp/starlite_reactjs | security/auth_middleware.py | auth_middleware.py | py | 1,368 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "starlite.AbstractAuthenticationMiddleware",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "starlette.requests.HTTPConnection",
"line_number": 22,
"usage_type": "name... |
4576712455 | import base64
import xml.etree.ElementTree as ET
import gimme_aws_creds.common as commondef
from . import errors
class DefaultResolver(object):
"""
The Aws Client Class performs post request on AWS sign-in page
to fetch friendly names/alias for account and IAM roles
"""
def __init__(self, ... | Nike-Inc/gimme-aws-creds | gimme_aws_creds/default.py | default.py | py | 2,029 | python | en | code | 884 | github-code | 1 | [
{
"api_name": "xml.etree.ElementTree.fromstring",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "base64.b64decode",
"line_number": 20,
"usage_type": "call"
},
{
"api_name"... |
28684901336 | import os
import pandas as pd
from django.shortcuts import render
from django.http import HttpResponseRedirect
source_dates = pd.read_csv("us-covid-dates.csv")
titles = {
"ct": {
"title": "CASE RATE REPORTED BY STATE | TOTAL",
"subtitle": "TOTAL NUMBER OF CASES | AS OF THE DATE INDICATED"
},
... | andrey-yakovenko/va-project | mysite/polls/views.py | views.py | py | 2,703 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.http.HttpResponseRedirect",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "os.pat... |
43073961333 | # -*- coding: utf-8 -*-
'''mid
此文件为数据管理程序主界面
用于对历史数据进行检查核对
功能：
1.展示本地数据KLine图形
2.下载远程数据到本地
窗口布局：
1.数据展示主窗口
左侧为本地数据列表
右侧为KLine
左下侧为本地数据操作命令按钮
2.数据下载管理子窗口
左侧为代码表
右侧为待下载代码
程序结构：
为了能够方便的被各种窗体调用嵌入，各个窗体都定义为layout
'''
from matplotlib.backends.backend_qt4agg import F... | UpSea/midProjects | histdataUI/Layouts/dataVisualizerLayout.py | dataVisualizerLayout.py | py | 15,734 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "sys.version",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"lin... |
2003100509 | from tests import unittest
from awscli.customizations.s3.utils import find_bucket_key, find_chunksize
from awscli.customizations.s3.constants import MAX_SINGLE_UPLOAD_SIZE
class FindBucketKey(unittest.TestCase):
"""
This test ensures the find_bucket_key function works when
unicode is used.
"""
de... | gthiruva/aws-cli | tests/unit/customizations/s3/test_utils.py | test_utils.py | py | 1,705 | python | en | code | null | github-code | 1 | [
{
"api_name": "tests.unittest.TestCase",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "tests.unittest",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "awscli.customizations.s3.utils.find_bucket_key",
"line_number": 14,
"usage_type": "call"
},
... |
21451999572 | import paho.mqtt.client as mqtt
import sqlite3
from datetime import datetime, timedelta
# Name of DB file.
db_file = "connected_devices.db"
# Exceptions classes.
class ConnectionToMqttBrokerException(Exception):
def __init__(self):
pass
def __str__(self):
message = "MQTT Manager could not connect t... | kosmolub01/Smart-home | Smart_home/app/mqtt_manager.py | mqtt_manager.py | py | 9,827 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sqlite3.connect",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 65,
"usage_type": "name"
},
{
"api_name": "sqlite3.conne... |
3476128370 | # -*- coding: utf-8 -*-
"""
Trains and tests a Rolling Bayesian Ridge Regression model on data
@author: Nick
"""
import warnings
import numpy as np
import pandas as pd
from sklearn.pipeline import Pipeline
from sklearn.feature_selection import VarianceThreshold
from sklearn.preprocessing import MinMaxScal... | N-ickMorris/Time-Series | elect_rolling_bayes.py | elect_rolling_bayes.py | py | 2,128 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line... |
15922680536 | import numpy as np
import torch
from torch.utils.data import Dataset, DataLoader, ConcatDataset
import mat73
class MatCovData(Dataset):
def __init__(self, snr=10, mode='train', norm=None):
super(MatCovData, self).__init__()
if mode == 'train':
file_path = '/home/External/xr/SDOAnet/doa... | FurryMushroom/DOA_Estimation_machine_learning | dataset.py | dataset.py | py | 2,993 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "mat73.loadmat",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.transpose",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
... |
11711168032 | import pandas as pd
import pickle
import datetime
import sys
from nltk.metrics import edit_distance
from siuba import *
from siuba.dply.vector import row_number
needs_to_be_matched = pickle.load(open("../data/manual_cleaning/needs_to_by_joined_wip.p", "rb"))
new_songs = pickle.load(open("../data/data2.p", "rb"))
# Re... | bakera81/itunesutils | python/search_for_matches.py | search_for_matches.py | py | 7,409 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pickle.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "nltk.metrics.edit_distance",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pandas.qcut",
"... |
31595782614 |
from matplotlib import pyplot
from matplotlib.patches import Rectangle
import imageIO.png
import numpy as np
import math
class Queue:
def __init__(self):
self.items = []
def isEmpty(self):
return self.items == []
def enqueue(self, item):
self.items.insert(0,item)
def dequeu... | iessje/QR-code-detection | QRCodeDetection.py | QRCodeDetection.py | py | 13,915 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "imageIO.png.png.Reader",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "imageIO.png.png",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "imageIO.png",
"line_number": 34,
"usage_type": "name"
},
{
"api_name": "imageIO.png.p... |
71555251875 | import math
from src.VAR import Var
from src.VAR_distance import Var_distance
from scipy.spatial import distance
class Grangercalculator_distance:
def __init__(self, df, lag):
self.df = df
self.lag = lag
def GC_calculator(self, bi_pairs, W, tau):
distances = []
tau_exp = mat... | SanderBos1/Thesis | src/GC_calculation_distance.py | GC_calculation_distance.py | py | 1,884 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "math.exp",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "src.VAR_distance.Var_distance",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "src.VAR.Var",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "scipy.spatial.dist... |
72505330915 | # --------------------------------------------------------------------
# shell.py: Shell command execution tools, including ShellRecipe.
#
# Author: Lain Musgrove (lain.proliant@gmail.com)
# Date: Thursday, January 2 2020
#
# Distributed under terms of the MIT license.
# ------------------------------------------------... | lainproliant/panifex | panifex/shell.py | shell.py | py | 13,661 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "typing.Callable",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "asyncio.StreamReader",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "util.get_logge... |
74229130912 | from typing import Optional
# Definition for a binary tree node.
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def insertIntoBST(self, root: Optional[TreeNode], val: int) -> Optional[TreeNode]:
... | TimHung000/leetcode | 0701_insertIntoABinarySearchTree/main.py | main.py | py | 1,158 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.Optional",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 31,
"usage_type": "name"
}
] |
24231412484 | import sys
from PyQt5 import QtWidgets
from PyQt5.QtCore import QThread
import pyqtgraph as pg
import numpy as np
from MainWindow import Ui_MainWindow
#from GraphClass import MultiLine # Supposed to improve perforamnce, but with latest pyqtgraph updates maybe not needed anymore
from WorkerClass import AcquireData
from... | nelsongt/mfiaDLTS2 | mfiaMain.py | mfiaMain.py | py | 6,880 | python | en | code | 3 | github-code | 1 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "MainWindow.Ui_MainWindow",
"line_number": 13,
"usage_type": "name"
},
{
"api_nam... |
75207759392 | '''
通过解析xml文件，批量修改xml文件里的标签名称，比如把标签zero改成num
'''
import os.path
import glob
import xml.etree.ElementTree as ET
path = r'数据集\Annotations' #存储标签的路径，修改为自己的Annotations标签路径
sum3 = 0
for xml_file in glob.glob(path + '/*.xml'):
####### 返回解析树
tree = ET.parse(xml_file)
##########获取根节点
root = tree.getr... | cccccccyyyyyyyyy/shiny-waddle | xcyxmlchange.py | xcyxmlchange.py | py | 1,283 | python | zh | code | 0 | github-code | 1 | [
{
"api_name": "glob.glob",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.parse",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 12,
"usage_type": "name"
}
] |
71728267235 | #!/usr/bin/env python
# coding: utf-8
# import
import os
import numpy as np
import tensorflow as tf
from models import simple_CNN
from keras.callbacks import EarlyStopping, ModelCheckpoint, CSVLogger, TensorBoard
import matplotlib.pyplot as plt
init = tf.global_variables_initializer()
config = tf.ConfigPr... | menhai/ANALYSIS-OF-STABILOMETRIC-DATA | train.py | train.py | py | 2,129 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tensorflow.global_variables_initializer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tensorflow.ConfigProto",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tensorflow.Session",
"line_number": 15,
"usage_type": "call"
},
{
... |
22704557894 | import tqdm
import pickle
import torch
from torch.utils.data import DataLoader
import sentencepiece as spm
from custom_dataset import CustomDataset
from models.rnn.model import Encoder, NMTDecoder, StylizedNMT
from loss import ce_loss
# os.environ['CUDA_LAUNCH_BLOCKING'] = "1"
torch.cuda.empty_cache()
torch.autogr... | TrellixVulnTeam/kcc_7NVH | models/rnn/test.py | test.py | py | 4,423 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.cuda.empty_cache",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "torch.autograd.set_detect_anomaly",
"line_number": 16,
"usage_type": "call"
},
{
"api_name... |
35341136686 | from django.urls import path
from . import views
app_name = 'blog'
urlpatterns = [
path('', views.blog_list, name='blog-list'),
path('article/<int:id>/', views.blog_detail, name='blog-detail'),
path('add-article/', views.add_article, name='add-article'),
path('confirm-add-article/', views.con... | javadsalman/k111-blog-project | blog/urls.py | urls.py | py | 736 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
72199681314 | from __future__ import absolute_import
from __future__ import division
from __future__ import unicode_literals
from googlecloudsdk.api_lib.compute import base_classes
from googlecloudsdk.calliope import arg_parsers
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.compute import flags as compute... | aidanby/JARVIS-MUSIC | google-cloud-sdk/lib/surface/compute/networks/subnets/create.py | create.py | py | 8,803 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "googlecloudsdk.command_lib.compute.networks.subnets.flags.SubnetworkArgument",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "googlecloudsdk.command_lib.compute.networks.subnets.flags",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "googleclou... |
13857010706 | from bs4 import BeautifulSoup
import requests
import urllib.parse
import json
from discord.ext import commands
class CodInGame(commands.Cog):
def __init__(self,config, bot: commands.Bot):
self.bot = bot
self.config = config
@commands.command()
async def gofish(self, ctx):
u... | JeppeLovstad/Discord-Meme-Delivery-Bot | BotModules/codingame.py | codingame.py | py | 1,196 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 8,
"usage_type": "attribute"
},
{
"api... |
8039560044 | import time
import telebot
from telebot import types
import base
bot = telebot.TeleBot('5194270771:AAF2zvg8MEBgCjOusmaIyX6u4yF7X_CtmCw')
#bot = telebot.TeleBot('5188999206:AAFDzoHQCE6_YTsAxTA8hlhJD4M2tPXyVh4') #dev
bd = base.Base("localhost")
@bot.message_handler(commands=['start'])
def start(message):
print(m... | UzorStudio/exchenge | tgBot.py | tgBot.py | py | 2,051 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "telebot.TeleBot",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "base.Base",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "telebot.types.ReplyKeyboardMarkup",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "telebot.ty... |
36565638138 | """
Created on Tue Oct 23 03:00:14 2018
@author: Rahul
"""
import numpy as np
import pandas as pd
import math
import random
import datetime
from logging import info
from .constant import STOCK_LIST
WILLIAM_K_UL = -80
WILLIAM_K_LL = -20
A = [
{'sector' : 'Mining', 'stock' : 'ABIRLANUVO'},
{'sector' : 'Computers', 'st... | rahulspsec/StockScreenerSite | StockScreenerSite/stockscreener/StockScreenerUtility/StockScreener.py | StockScreener.py | py | 14,224 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.DataFrame",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "constant.STOCK_LIST",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "logging.info",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
23808835097 | import pandas as pd
from scipy.sparse.construct import rand
from sklearn.linear_model import Ridge
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
#import matplotlib.pyplot as plt
from sklearn import metrics
import os
from sklearn import tree
from sklearn.externals im... | sandeep7/Food_delivery_time | train.py | train.py | py | 4,660 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.get_dummies",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pandas.get_dummies",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 35,
"usage_type": "call"
},
{
"api_name... |
11647920658 | import pyttsx3 #pip install pyttsx3
import speech_recognition as sr #pip install speechRecognition
import datetime
import wikipedia #pip install wikipedia
import webbrowser
import os
import smtplib
import sys
import random
import urllib.request
import json
engine = pyttsx3.init('sapi5')
voices = engine.ge... | BishalKumarSingh/Desktop_Assistant | Jarvis.py | Jarvis.py | py | 4,633 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pyttsx3.init",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "speech_reco... |
8556855206 | __author__ = 'Marcelo Ferreira da Costa Gomes'
import sys
import logging
import pandas as pd
import numpy as np
import random
from .episem import lastepiweek, epiweek2date
module_logger = logging.getLogger('update_system.delay_table')
def extract_quantile(dforig=pd.DataFrame, filtertype='srag'):
if filtertype n... | FluVigilanciaBR/seasonality | methods/data_filter/delay_table.py | delay_table.py | py | 9,005 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "episem.laste... |
8499870149 | import random
import matplotlib.pyplot as plt
import numpy as np
class bandit:
def __init__(self, arm_num):
self.arms = []
for _ in range(arm_num):
arm = {'mean': random.gauss(0, 1), 'std': 1}
self.arms.append(arm)
def reset(self, random_walk_std):
for i in ran... | Ja1r0/RL-an-introduction-exercise | Capter 2/Figure 2-4.py | Figure 2-4.py | py | 4,156 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "random.gauss",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "random.gauss",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random.gauss",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "random.uniform",
"line_num... |
8904685658 | #!/usr/bin/python
#-*- coding: utf-8 -*-
import json
class Metadata:
def __init__(self):
self._meta = None
def set(self, pAttribute, pValue):
d = {pAttribute : pValue}
s = json.dumps(d)
if self._meta is None:
self._meta = {}
self._meta[pAttribute] = pValue
... | CogComp/NLP-Multipackage-Demo | backend/texas/core/Metadata.py | Metadata.py | py | 1,365 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "json.dumps",
"line_number": 12,
"usage_type": "call"
}
] |
72112054114 | import argparse
import sys
from pathlib import Path
from tokenizer import JackTokenizer
from compilation_engine import CompilationEngine
JACK = '.jack'
XML = '.xml'
VM = '.vm'
def compile(file_name, analyze):
vm_name = file_name.parent.joinpath(file_name.stem + VM)
xml_name = file_name.parent.joinpath(file_n... | akaps/nand2tetris | projects/project_10/JackCompiler.py | JackCompiler.py | py | 1,477 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tokenizer.JackTokenizer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "compilation_engine.CompilationEngine",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
... |
7922606907 | import matplotlib.pyplot as plt
def show_graphics(result_list1, list1_tag,
result_list2, list2_tag,
common_tag):
fig, axes = plt.subplots(2, sharex=True, figsize=(10, 5))
fig.suptitle('Resultados')
axes[0].set_ylabel(list1_tag, fontsize=12)
axes[0].plot(result_lis... | JulianSalinas/carrots-finder | tec/ic/ia/pc2/model/graph_utils.py | graph_utils.py | py | 468 | python | fa | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "mat... |
25103319583 | import logging
from egtsdebugger.egts import *
import socket
class RnisConnector:
"""Provide functional for connecting to RNIS"""
def __init__(self, host, port, num, dispatcher, file, **kwargs):
self.host = host
self.port = port
self.num = 0
self.max = num
self.did = di... | SatisSoft/egts-debugger | rnis_connector.py | rnis_connector.py | py | 4,475 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "socket.socket",
... |
2524005655 | import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import matplotlib._png as png
import numpy as np
import cv2
np.seterr(divide='ignore', invalid='ignore')
def region_of_interest(img, vertices):
# Define a blank matrix that matches the image height/width.
mask = np.zeros_like(img)
# Retriev... | ghazalsaf/mobNavigation | road_detect2.py | road_detect2.py | py | 4,234 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.seterr",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.fillPoly",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.zeros_like",
"lin... |
4850877077 | """
Cli functions to setup scout
"""
import logging
import datetime
import yaml
import pymongo
import click
# Adapter stuff
from scout.adapter.mongo import MongoAdapter
from scout.adapter.client import get_connection
from pymongo.errors import (ConnectionFailure, ServerSelectionTimeoutError)
# Import the resources t... | gitter-badger/scout | scout/commands/setup/setup_scout.py | setup_scout.py | py | 13,127 | python | en | code | null | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "scout.build.build_institute",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "scout.utils.link.link_genes",
"line_number": 105,
"usage_type": "call"
},
{
"api_na... |
8819603725 | import torch
import torch.nn as nn
from Networks.Transformer_Encoder import TransformerEncoderLayer, TransformerEncoder
from Networks.Transformer_decoder import TransformerDecoderLayer, TransformerDecoder
from Networks.FiLM import Model as Model_Film
from Networks.Informer import Model
from Networks.wavenet impor... | YXING-CC/Dark-Light | Networks/Generators.py | Generators.py | py | 8,766 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.device",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Module"... |
11411241005 | """Test logging utils."""
import logging
import re
import pytest
import youtube_monitor_action.__main__
@pytest.fixture()
def _setup_logger(mocker, tmp_path):
logger = logging.getLogger("test_logger")
mocker.patch.object(youtube_monitor_action.__main__, "_MODULE_LOGGER", logger)
youtube_monitor_action._... | mshafer1/youtube_monitor_action | tests/test_loggin_utils.py | test_loggin_utils.py | py | 2,117 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "youtube_monitor_action.__main__.__main__",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "youtube_monitor_action.__main__",
"line_number": 13,
"usage_type": "name"... |
16295874822 | # Databricks notebook source
from pyspark.sql.functions import col, count, isnull, when
# COMMAND ----------
def remove_duplicates(table):
"""
Removes duplicate rows from table
Parameters:
----------
table : Pyspark Dataframe(pyspark.sql.dataframe.DataFrame)
Name of the dataframe
Ret... | SoumyaAkunoori/GitActionsDemo | databricks/databricks/tpc_ds/de_workload/enriched/rdbms/sales/historical/Data_Cleaning_utils.py | Data_Cleaning_utils.py | py | 2,484 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pyspark.sql.functions.when",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.isnull",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.functions.count",
"line_number": 54,
"usage_type": "call"
},
{
... |
28123538513 | from mythril.laser.ethereum.state.annotation import (
StateAnnotation,
MergeableStateAnnotation,
)
from copy import copy
from typing import Dict, List, Set
import logging
import json
from collections import namedtuple
log = logging.getLogger(__name__)
class MutationAnnotation(StateAnnotation):
"""Muta... | rjx18/mythril | mythril/laser/plugin/plugins/plugin_annotations.py | plugin_annotations.py | py | 9,835 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "mythril.laser.ethereum.state.annotation.StateAnnotation",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "json.dumps",
"line_number": 79,
"usage_type": "call"
},
{
... |
1392454468 | import torch
import torchtext
from src.models.conversational.checkpoint import Checkpoint
from src.models.conversational.emotion_dialogue_dataset import UTTERANCE_FIELD_NAME, RESPONSE_FIELD_NAME, \
EMOTION_FIELD_NAME
from src.models.conversational.emotion_model import EmotionSeq2seq, EmotionTopKDecoder
from src.mo... | Neronuser/EmoCourseChat | src/models/conversational/emotion_trainer.py | emotion_trainer.py | py | 6,845 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "src.models.conversational.trainer.Trainer",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "src.models.conversational.evaluator.EmotionEvaluator",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 66,
... |
74588081952 | import os
import sys
import openai
import requests
from uni_kie.models.model import LargeLanguageModel
from uni_kie.prompts.prompts import STOP_KEY
class GPT3_Davinci(LargeLanguageModel):
def __init__(self):
super().__init__()
# openai.api_key = os.getenv("OPENAI_TOKEN")
# we are subtra... | ivo-1/bachelor-thesis | uni_kie/models/gpt.py | gpt.py | py | 3,238 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "uni_kie.models.model.LargeLanguageModel",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "uni_kie.prompts.prompts.STOP_KEY",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "openai.Completion.create",
"line_number": 32,
"usage_type": "cal... |
25588409878 | from django.shortcuts import render
from django.views.generic import ListView
from acheve_mgt.models import Student, MyClass, ScoreShip, Course
from django.contrib.auth.decorators import login_required
from django.http import JsonResponse
# Create your views here.
@login_required
def person(request, pk):
user = r... | liuqiao1995/stu_mgt | apps/acheve_mgt/views.py | views.py | py | 6,981 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "acheve_mgt.models.MyClass.objects.all",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "acheve_mgt.models.MyClass.objects",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "acheve_mgt.models.MyClass",
"line_number": 12,
"usage_type":... |
41935303161 | from django import forms
class FirebaseUploadWidget(forms.TextInput):
template_name = 'base/widgets/firebase-upload-widget.html'
class Media:
js = (
'https://www.gstatic.com/firebasejs/7.8.1/firebase-app.js',
'https://www.gstatic.com/firebasejs/7.8.1/firebase-storage.js',
... | Benbb96/benbb96-website | base/widgets.py | widgets.py | py | 719 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.forms.TextInput",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 4,
"usage_type": "name"
}
] |
10255627866 | import torch.nn as nn
import torch
from .linear_net import LinearNet
class LPDiscriminator(nn.Module):
def __init__(self, light_num, lp_dim, ndf):
super(LPDiscriminator,self).__init__()
self.linear = LinearNet(light_num, lp_dim)
# 256 x 256
self.layer1 = nn.Sequential(nn.Conv2d(l... | xuxmin/NeuralTexture_gan | core/models/lp_discriminator.py | lp_discriminator.py | py | 1,978 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "linear_net.LinearNet",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.nn.Sequential"... |
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