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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
72859714462 | from StreamManagerApi import *
import os
import cv2
import json
import numpy as np
import MxpiDataType_pb2 as MxpiDataType
import time
import sys
def save_infer_result(result, result_name, image_name):
"""
save the infer result to name_1.txt
the file content top5:
class_id1, class_id2, class_id3, ... | Ascend/ModelZoo-PyTorch | PyTorch/contrib/cv/classification/MnasNet/infer/sdk/main.py | main.py | py | 2,999 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 52,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number"... |
42414816177 | # -*- coding: utf-8 -*-
"""
Created on Sat Mar 30 09:45:17 2019
@author: Keshik
References
https://github.com/hunkim/PyTorchZeroToAll
https://gist.github.com/HarshTrivedi/f4e7293e941b17d19058f6fb90ab0fec
https://towardsdatascience.com/taming-lstms-variable-sized-mini-batches-and-why-pytorch-is-good-for-yo... | keshik6/deep_learning | lstm-names-classification/model.py | model.py | py | 2,266 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
3950627229 | import numpy as np
import torch
from torch import nn
from torch import autograd
from src.architectures.linear_sequential import linear_sequential
from src.architectures.convolution_linear_sequential import convolution_linear_sequential
from src.architectures.vgg_sequential import vgg16_bn
class Network(nn.Module):
... | TUM-DAML/dbu-robustness | src/models/ensemble_networks/Network.py | Network.py | py | 4,123 | python | en | code | 23 | github-code | 7 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.set_default_tensor_type",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.Flo... |
15312740747 | import numpy as np
import scipy.io
from numpy.linalg import inv as inv
from keras.models import Sequential
from keras.layers import Dense, LSTM, Dropout, Activation
from sklearn.preprocessing import MinMaxScaler
import time
def kr_prod(a, b):
return np.einsum('ir, jr -> ijr', a, b).reshape(a.shape[0] * b.sh... | ChenXu02/traffic_SEDA | models/predicter/LSTM-GL-ReMF/LSTM-GL-ReMF.py | LSTM-GL-ReMF.py | py | 13,437 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "numpy.einsum",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.einsum",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.reshape",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.moveaxis",
"line_num... |
29595053588 | """This module contains the code to translate with https://www.deepl.com/.
The API allows to process a batch of 50 texts at a time and allows parallel calls to the
API from processes or threads.
The secret API is contained in a file which should never be committed!
The documentation for the API can be found here:
ht... | covid-19-impact-lab/twitter_analysis | src/pre_processing/translate.py | translate.py | py | 3,190 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "pandas.Series",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "pandas.Series",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "yaml.safe_load",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
... |
10106146217 | import os
import argparse
import pickle
import csv
import torch
from torch.utils.data import DataLoader
from transformers import GPT2Tokenizer, GPT2LMHeadModel
from tqdm import tqdm
from src.model.data_full import PromtDataset
from src.model.pipeline import copy_data_to_device, init_random_seed
from typing import List... | edbons/faiky-tails | generate.py | generate.py | py | 8,378 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "warnings.simplefilter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "typing.Union",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"li... |
17530823376 | from interface import chess_game
import chess_utils
import engine.endgame_and_opening_move_finder as endgame_and_opening_move_finder
from engine.pieces.piece import Roi, Tour, Fou, Cavalier, Dame, Pion
import time
def piece_from_symbol(symbol: str):
symbol_piece_dict = {
'K': (Roi, "blanc"), 'Q': (Dame, "... | AngelFireLA/NSI-Chess | engine/partie.py | partie.py | py | 9,046 | python | fr | code | 0 | github-code | 7 | [
{
"api_name": "engine.pieces.piece.Roi",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "engine.pieces.piece.Dame",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "engine.pieces.piece.Tour",
"line_number": 10,
"usage_type": "name"
},
{
"api_nam... |
35321466467 | from django.shortcuts import render, HttpResponse, redirect
from django import forms
from app1 import models
import time
def update(request):
if request.method == "GET":
corpus = request.GET.get('corpus')
nid = request.GET.get('id')
user = corpus.split('_')[1]
corpus_name = corpus.... | lscLucienLee/Parallel-corpus-management-system | Code/PCMS/app/views/Update.py | Update.py | py | 1,288 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.redirect",
"line_number": 19,
"usage_type": "call"
}
] |
38119098742 | import unittest
from flask import json
from app.test.base import BaseTestCase
from app.main.models.user import User
from app.main import db
from util import create_test_user, create_test_portfolio
class UserRoutesTest(BaseTestCase):
def test_app_is_running(self):
# Test if the app is running by sending a ... | tiziaco/crypto-exchange-dashboard | app/test/test_user.py | test_user.py | py | 2,159 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "app.test.base.BaseTestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "flask.json.dumps",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.json",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "app.main.models... |
41088659631 | import datetime
from sqlalchemy import Column, DateTime, MetaData, Table, TypeDecorator
__all__ = [
"PublicSchema",
"TZDateTime",
]
from sqlalchemy.engine import Dialect
class PublicSchema(type):
metadata = MetaData(schema="public")
__table__ = None
def __init__(cls, name, bases, dct): # type... | VyachAp/FastAPISample | svc/persist/schemas/metadata.py | metadata.py | py | 1,135 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "sqlalchemy.MetaData",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 20,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.Table",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sqlalchemy... |
24930222517 | # Utils for augmentation
import itertools
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import matthews_corrcoef
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.nn.functional as F
import random
from inspect import getmembers, isfunction
import augmentations
mem... | alexander-moore/MolecularRepresentation | alex_files/augutils.py | augutils.py | py | 4,535 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "inspect.getmembers",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "inspect.isfunction",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "itertools.product",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sklearn.m... |
11913301759 | import torchvision.utils as vutils
import copy
import math
import os
import numpy as np
from PIL import Image, ImageFile
from matplotlib import pyplot as plt
import matplotlib.image as mpimg
import torch
import torch.nn as nn
from torch.nn import functional as F
import torch.optim as optim
import torchvision.models as ... | HailongZeng/ECE285Project | CycleGAN/dataset.py | dataset.py | py | 3,755 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",... |
38827978301 | """Added columns in similar tracks songs
Revision ID: 1be5a4ddae1c
Revises: 2737e100c02c
Create Date: 2022-05-29 22:35:07.310292
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = '1be5a4ddae1c'
down_revision = '2737e100c0... | NwaforAugustine321/ktizo-backend | alembic/versions/1be5a4ddae1c_added_columns_in_similar_tracks_songs.py | 1be5a4ddae1c_added_columns_in_similar_tracks_songs.py | py | 1,337 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "alembic.op.add_column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.String"... |
24409836490 | # -*- coding:utf8 -*-
import os
from PIL import Image
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
source_image_dir = 'image'
source_image_size = 16
target_image_size = 28
# 读取图片至image
# 卷积自编码器
inputs = tf.placeholder(tf.float32, (1, source_image_size, source_image_size, 1), name='image_i... | zhcong/AINumber | make.py | make.py | py | 2,029 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "tensorflow.placeholder",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tensorflow.float32",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.image.resize_images",
"line_number": 16,
"usage_type": "call"
},
{
"api... |
30795180950 | import fugashi
from collections import Counter
def extractVocab(filePath):
tagger = fugashi.Tagger()
f = open(filePath, encoding="utf-8")
text = f.read()
test_list = []
res = []
output = []
outputText = '['
for word in tagger(text):
... | mike-summ/Japanese-Frequency-Generator | vocabextractor.py | vocabextractor.py | py | 934 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "fugashi.Tagger",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 18,
"usage_type": "call"
}
] |
42067397358 | #!/usr/bin/env python
# _*_ encoding: utf-8 _*_
# ---------------------------------------
# Created by: Jlfme<jlfgeek@gmail.com>
# Created on: 2016-03-21 20:24:18
# ---------------------------------------
from django.conf.urls import url
from django.views.generic import TemplateView
from blog.views import views, adm... | jlfme/jlfme-blog | blog/urls.py | urls.py | py | 1,268 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.conf.urls.url",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.views.generic.TemplateView.as_view",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.views.generic.TemplateView",
"line_number": 15,
"usage_type": "name... |
6879501973 | import numpy as np
import scipy.special as sp
# function to handle input exceptions
def get(instr, message):
var = -1
while(var == -1):
try:
var = float(input(instr))
except:
print(message)
pass
return var
# base functions - manipulating distributions
... | ashwin2802/EE683 | base.py | base.py | py | 3,112 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.random.uniform",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "numpy.log",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.e",
"line_... |
14248049507 | import os
import sys
import argparse
import datetime
import shutil
import traceback
from pathlib import Path
from git import Git, exc
# this calls the configuration of the logger which is done in the settings module
from autoreduce_utils.settings import logging
ISIS_MOUNT_PATH = Path("/isis")
AUTOREDUCTION_PATH = Pa... | autoreduction/scripts | autoreduce_scripts/backup_reduction_scripts.py | backup_reduction_scripts.py | py | 3,563 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pathlib.Path",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "autoreduce_utils.settings.logg... |
3214597560 | from selenium import webdriver
from selenium.webdriver.chrome.options import Options # 从options模块中调用Options类
import time
chrome_options = Options() # 实例化Option对象
chrome_options.add_argument('--headless') # 把Chrome浏览器设置为静默模式
driver = webdriver.Chrome(options = chrome_options)
driver.get('https://localprod.pandateach... | xyzdudu/python_code | L9_2.py | L9_2.py | py | 1,086 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 7,
"usage_type": "name"
},
{
... |
19990806853 | from itertools import combinations, chain, permutations
import networkx as nx
import matplotlib.pyplot as plt
import random
random.seed(0)
class Atom:
def __init__(self,info):
self.atom = info[0]
self.electrons = info[1]
self.atomic_numb = info[2]
self.valence = info[3]
self.orbit... | TinacciL/Isomers_generator | IG_lib.py | IG_lib.py | py | 21,134 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "random.seed",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "itertools.chain",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "itertools.combinati... |
18033893637 | #!/usr/bin/python3
# testing command: sudo socat PTY,link=/dev/ttyS10 PTY,link=/dev/ttyS11
# /dev/ttyS10 - write socket
# /dev/ttyS11 - read socket
# credits: https://stackoverflow.com/a/10555885
from argparse import ArgumentParser
from concurrent.futures import Future, ProcessPoolExecutor
from functools import parti... | raidgar98/wserial | main.py | main.py | py | 3,641 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "functools.partial",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "wserial.libs.logger.get_logger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name... |
25819092578 | '''
RUN COMMAND python -i example.py
PRINT env AND INTERACT TO TEST
PRINT sys.path TO CHECK REPO ROOT DIR
Note: If installed using PIP then package is added to PATH by default.
If installed using GIT:
sys.path.insert(0, [PATH TO REPO_ROOT_DIR])
'''
import sys
import gym
import gym_lunar_land... | kaiyuanmifen/adaptivebottlenecking | DeepQ/example.py | example.py | py | 879 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "gym.make",
"line_number": 16,
"usage_type": "call"
}
] |
74081070302 | # Core django libraries
from django.contrib import admin
from django.urls import path, include, re_path
# Django rest framework
from rest_framework.urlpatterns import format_suffix_patterns
from rest_framework.urlpatterns import format_suffix_patterns
from rest_framework.routers import DefaultRouter
# My stuff
from .... | e-shevchuk/MIMA2 | mysite/urls.py | urls.py | py | 1,197 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.urls.include",
"line_number": 19,
"usage_type": "call"
},
{
"api_nam... |
37399109432 | """
:mod:`papy.util.config`
=======================
Configures logging to monitor the execution of **PaPy** pipelines and
OS-dependent defaults for different variables.
"""
import time
import os, socket
import logging.handlers
from numap import imports
@imports(['os', 'socket'])
def get_defaults():
"""
R... | mcieslik-mctp/papy | src/papy/util/config.py | config.py | py | 4,374 | python | en | code | 28 | github-code | 7 | [
{
"api_name": "os.pathconf_names",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.pipe",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.fpathconf",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line... |
18747593673 | import pika
from redis_multiple_saving.consumer import callback
# Creating connection and channel with localhost RabbitMQ
connection = pika.BlockingConnection(pika.ConnectionParameters(host='localhost'))
channel = connection.channel()
# Creating a new Exchange and Queue
channel.exchange_declare(exchange='save_on_redi... | duanribeiro/RabbitMQ_exercises | redis_multiple_saving/rabbitMQ.py | rabbitMQ.py | py | 999 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pika.BlockingConnection",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pika.ConnectionParameters",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "redis_multiple_saving.consumer.callback",
"line_number": 22,
"usage_type": "name"
}
] |
70935631585 | import numpy as np
from numpy.random import default_rng
import h5py
import numpy as np
import numpy.linalg as la
#import cppimport.import_hook
#import cpp_ext.tensor_kernels as tensor_kernels
class SparseTensor:
'''
For single-node testing purposes only (in Jupyter). Does not have
an MPI component.
'... | vbharadwaj-bk/rdist_tensor | experimental/serial/sparse_tensor_singlenode.py | sparse_tensor_singlenode.py | py | 1,320 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "h5py.File",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "numpy.random.default_rng",
... |
25204005189 | # 昇順をスライドさせてできた数列の中で最小値を見つける。
# 4 5 1 2 3
# 入力のサイズが10**8以下だったら、O(N)の方法で行ける。
# nums = list(map(int, input().split()))
# for i in range(len(nums)-1):
# if nums[i] < nums[i+1]:
# continue
# else:
# print(nums[i+1])
# break
# else:
# print(nums[0])
# 入力のサイズが10**8以上だったら、O(log(N))の方法で... | kazuya0208442/Algorithm | binary_serch.py | binary_serch.py | py | 1,453 | python | ja | code | 1 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 47,
"usage_type": "name"
},
{
"api_name": "sys.stdin",
"line_number": 69,
"usage_type": "attribute"
}
] |
17146172061 | # build-in
import asyncio
import os
import shutil
import tempfile
import time
from datetime import date
from pathlib import Path
from typing import TypedDict
from zipfile import ZipFile
# third-party
from geopandas import GeoSeries
from sentinelsat import SentinelAPI
from sentinelsat.exceptions import LTATriggered
fro... | Taraman12/Solarpark-detection | Archive/downloader/archive/api_call_handler_old.py | api_call_handler_old.py | py | 7,910 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "typing.TypedDict",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "sentinelsat.SentinelAPI",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "datetime.date",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "datetime.date"... |
27804420266 | from PyQt5.QtGui import (
QKeySequence,
)
from PyQt5.QtWidgets import (
QMainWindow,
)
class MainWindowGuiUserAction(QMainWindow):
page_idx = 0
def setup_signal_connections_for_user_actions(self):
self.buttons_bot_type[0].clicked.connect(self.play_mouse_click_sound)
self.buttons_bot_t... | WhiteSlope1000/white-slope-portfolio | ai_talkbot_version01/application/gui_talkbot_main_action.py | gui_talkbot_main_action.py | py | 3,084 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QKeySequence",
"line_number": 36,
"usage_type": "call"
},
{
"a... |
2955208870 | import time
import torch
def benchmark_mm(m, n, k, num_iterations=100):
A = torch.randn(m, n).half().to("cuda:0")
B = torch.randn(n, k).half().to("cuda:0")
C = torch.empty(m, k).half().to("cuda:0")
num_warmup_iterations = 50
for i in range(num_warmup_iterations + num_iterations):
if i == n... | jahatef/TransformerSizing | mm_flops.py | mm_flops.py | py | 4,578 | python | en | code | 2 | github-code | 7 | [
{
"api_name": "torch.randn",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.randn",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.empty",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 12,
... |
73675172063 | import config
from graphdatascience import GraphDataScience
gds = GraphDataScience(
config.host, auth=(config.user, config.password), database="neo4j"
)
bham = gds.find_node_id(["Station"], {"name": "Birmingham New Street"})
eboro = gds.find_node_id(["Station"], {"name": "Edinburgh"})
shortest_path = gds.shortes... | TheRobBrennan/explore-python-neo4j-graph-data-science | examples/example-01-neo4j-python-example-graph-projection/02-find-the-shortest-path-between-two-stations.py | 02-find-the-shortest-path-between-two-stations.py | py | 1,778 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "graphdatascience.GraphDataScience",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "config.host",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "config.user",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "conf... |
14195957745 | # from pudb import set_trace; set_trace()
from typing import List
import heapq
class Solution1:
def scheduleCourse(self, courses: List[List[int]]) -> int:
"""LeetCode 630
This solution is based on hint, although I have basically the same
idea as the hint. Yet, I was not sure to pursue the... | FanchenBao/leetcode | 2021_05_challenge/05_02_2021.py | 05_02_2021.py | py | 4,027 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "heapq.heappush",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "heapq.heappop",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "heapq.heappush",
"line_nu... |
39231717715 |
# {
# "national":
# [
# "THW force all news organizations to be non profit(i.e. NHK, BBC, PBS)",
# "THR the romanticization of success stories about educational achievement(e.g Biri Gal, Dragon Zakura)",
# ],
# "international":
# ""
# [
# ],
# }
import json
from collections import OrderedDict
impo... | kokhayas/sbert_on_server | main11_create_motions_json.py | main11_create_motions_json.py | py | 1,470 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "json.loads",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.JSONEncoder",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 53,
"usage_type": "call"
}
] |
3962191685 | from uuid import UUID
from crm_pilates.command.command_bus import CommandBus
from crm_pilates.command.response import Response
from crm_pilates.command.saga_handler import SagaHandler
from crm_pilates.domain.attending.session import ConfirmedSession
from crm_pilates.domain.commands import SessionCreationCommand
from c... | bbougon/crm-pilates | crm_pilates/domain/attending/session_checkin_saga_handler.py | session_checkin_saga_handler.py | py | 2,091 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "crm_pilates.event.event_store.Event",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "uuid.UUID",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "crm_pilates.domain.scheduling.attendee.Attendee",
"line_number": 16,
"usage_type": "name"
... |
31367091093 | #Program to tanslate languages.This uses google translate module to do the transilation
#Created by Aswin KS
import googletrans
from tkinter import * #for creating GUI
from tkinter import messagebox #for message box
from googletrans import Translator
from numpy import common_type
import pyperclip #for copy to clipb... | aswinks123/Python-Projects | Intermediate/Language-Transilator-GUI/trans.py | trans.py | py | 2,530 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "googletrans.Translator",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pyperclip.copy",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox.showinfo",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tki... |
7892504868 | #########################################################
## Stat 413 - Homework 3
## Author: Luxi Li
## Date : 2/18/2018
## Description: This script implements an adaboost classifier
#########################################################
#############################################################
## INSTRUCTIONS... | monologue110/Code | Adaboost.py | Adaboost.py | py | 5,385 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numpy.array",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.load_digits",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "numpy.asarr... |
9102636277 | from graphviz import Digraph
#class ExecuteTaskGraph(task_graph):
#def __init__(self, task_graph):
#print ('init ExecuteTaskGraph')
#def execute_tool(tool_name, tool_args):
#args = ast.literal_eval(tool_args)
#tool_instance = globals()[tool_name]()
#tool_result = tool_instance... | rkreddyp/securitygpt | securitygpt/utils/graph_utils.py | graph_utils.py | py | 2,279 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "graphviz.Digraph",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "graphviz.Digraph",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "IPython.display.display",
"line_number": 78,
"usage_type": "call"
},
{
"api_name": "IPython.dis... |
33213561034 | import scooby
import unittest
from SimPEG import Report
class TestReport(unittest.TestCase):
def test_version_defaults(self):
# Reporting is now done by the external package scooby.
# We just ensure the shown packages do not change (core and optional).
out1 = Report()
out2 = scooby... | simpeg/simpeg | tests/utils/test_report.py | test_report.py | py | 1,294 | python | en | code | 438 | github-code | 7 | [
{
"api_name": "unittest.TestCase",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "SimPEG.Report",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "scooby.Report",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "unittest.main",
... |
28779803411 | from database import db
from datetime import date
from sqlalchemy import and_
from .inventoryModel import Inventory
from ..theatre.theatreRepository import get_theatre_by_id
import os, sys
# Add the project's root directory to the Python path
current_dir = os.path.dirname(os.path.realpath(__file__))
project_root = os... | munishka-vijay/Movie-Ticket-Booking-System | backend/apis/modules/inventory/inventoryRepository.py | inventoryRepository.py | py | 5,912 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.dirname",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"... |
37276604134 | from typing import Type
import torch
from loss import temperature
from patch import Patch
class ContrastiveWeightedKNN():
def __init__(self, contrastive_model: Type[torch.nn.Module], train, train_subset_ratio=.5, k=10):
self.contrastive_model = contrastive_model
self.train_x, self.train_y = trai... | zia-badar/SelfSupervisedClassification | classifier.py | classifier.py | py | 1,576 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typing.Type",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.randperm",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "patch.Patch.classes",
"l... |
3981134666 | import numpy as np
import nengo
from nengo.dists import Uniform
from nengo.solvers import NoSolver
from nengo.utils.numpy import rmse
from nengolib import Lowpass, DoubleExp
from nengolib.signal import s
from utils import decodeNoF, WNode, learnEncoders, setWeights, decode, plotState, plotActivity
from neurons import L... | psipeter/detailed_neurons | detailed_neurons/diffMemory.py | diffMemory.py | py | 9,590 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "seaborn.set",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "nengo.processes.WhiteSignal",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "nengo.processes",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "nengo.Ne... |
43621267880 | from flask import Flask, render_template, request, redirect, Response, jsonify
import pandas as pd
import json
from sklearn.cluster import KMeans
from sklearn import metrics
from sklearn.decomposition import PCA
from sklearn.preprocessing import MinMaxScaler
from sklearn.preprocessing import StandardScaler
from sklearn... | aakashsbhatia2/Visualisation-MiniProject-2 | flaskDirectory/app.py | app.py | py | 11,008 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"... |
12511937044 | """A class that provides methods used to properly format and display replay data"""
import copy
from immutabledict import immutabledict
from typing import Iterable, Optional
from . import game_ids
from replays import models
# These table fields configure the display of the stage split columns
# These may differ f... | n-rook/thscoreboard | project/thscoreboard/replays/game_fields.py | game_fields.py | py | 19,004 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "immutabledict.immutabledict",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "immutabledict.immutabledict",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "immutabledict.immutabledict",
"line_number": 66,
"usage_type": "call"
},
{
... |
24297066362 | """Credit Calculator Project"""
# Libraries
import math
import argparse
class CreditCalculator:
def __init__(self):
"""Initialize the class"""
self.payment: float = 0
self.principal: float = 0
self.interest: float = 0
self.overpayment: float = 0
self.periods = 0
... | gerasimovamargo/DICT_python_education_Herasymova_Marharyta | credit_calculator/credit_calculator.py | credit_calculator.py | py | 4,381 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "math.ceil",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 38,
"... |
7712516907 | # coding=utf-8
import threading
import logging
import argparse
import sys
import atexit
import mimetypes
import pkg_resources
import gettext
from . import config, utils
from . import coordinator
from .__version__ import __version__
from .channel import EFBChannel
from .middleware import EFBMiddleware
# gettext.insta... | staniya/CYBEX | cybeXtelegram/ehForwarderBot/ehforwarderbot/__main__.py | __main__.py | py | 8,384 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "gettext.translation",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pkg_resources.resource_filename",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "sys.version_info",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_nam... |
72832571102 | import torch
import torch.optim as optim
from lib.progressbar import progress_bar
def train_epoch(model, criterion, optimizer, train_loader, device=torch.device('cuda'), dtype=torch.float):
model.train()
train_loss = 0
for batch_idx, (inputs, targets) in enumerate(train_loader):
inputs, targets =... | hsed/fyp | trainer/_solver.py | _solver.py | py | 3,844 | python | en | code | 8 | github-code | 7 | [
{
"api_name": "torch.device",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.float",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "lib.progressbar.progress_bar",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.device... |
28927376817 | import cv2
import numpy as np
import matplotlib.pyplot as plt
# range color
def detect_chess_board(path):
hh = 500
ww = 400
image = cv2.imread(path)
# resize image
image = cv2.resize(image,(hh,ww))
#1. Tách màu sáng, giữ lại màu đen
# converting frame(image == BGR) to HSV(hue-sat... | phamdu2001/estimate_center_object_3d | get_mask.py | get_mask.py | py | 7,595 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "cv2.imread",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.resize",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2HSV",
"line_numbe... |
36350302693 | import select
import os
import subprocess
from collections import namedtuple
import logging
# project
from .exceptions import (
AzureHostedCommandException,
AzureHostedCommandNotFoundException
)
logger = logging.getLogger('Azure_LI_Services')
class Command(object):
"""
**Implements command invocatio... | SUSE-Enceladus/azure-li-services | azure_li_services/command.py | command.py | py | 6,019 | python | en | code | 7 | github-code | 7 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "path.Path.wh... |
9961962304 | #!/usr/bin/env python
"""Utilitys for working with chemicals arrays.
Author: Dominic Phillips (dominicp6)
"""
import os
import contextlib
import psutil
import sys
import traceback
from typing import Optional, Callable, Union, TextIO
import numpy as np
import numpy.typing as npt
import scipy.interpolate as interp... | dominicp6/CV_learning | utils/general_utils.py | general_utils.py | py | 6,415 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "typing.Union",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "typing.TextIO",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sys.exc_info",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "traceback.extract_tb",
"l... |
35918745938 | # -*- coding: utf-8 -*-
import codecs, requests, urllib, webbrowser, json, os, math, time, logger, sys
from threading import Thread
# Application settings
client_id = "3998121"
client_secret = "AlVXZFMUqyrnABp8ncuU"
runThread = 10
# API call function
def api_call(method, param):
api_url = "https://api.vk.com/method... | anashansson/vk-dump-user | run.py | run.py | py | 4,152 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "urllib.urlencode",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "logger.fail",
"line_... |
9923457503 | #!/usr/bin/env python
import ROOT
import os
from CombineUtils import CombineWorkspace as cw
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser()
parser.add_argument(
"-w", "--workspace", type=str, help="path to workspace ROOT-file. Should contain workspace names 'w'."
... | UHH2/JetMass | rhalph/plotToys.py | plotToys.py | py | 1,353 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "CombineUtils.CombineWorkspace",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "ROOT.gROOT.SetBatch",
"line_number": 22,
"usage_type": "call"
},
{
"api_nam... |
30187787073 | # MLP 26 november
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
from matplotlib import pyplot
from statsmodels.graphics.tsaplots import plot_acf, plot_pacf
import os
import datetime
import math
import IPython
import IPython.display
import matplotlib as mpl
im... | jaimestinson/tfm | Datos_esios/MLP v0.py | MLP v0.py | py | 10,500 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pandas.read_csv",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pandas.Timestamp",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "numpy.sin",
... |
37251622258 | import numpy as np
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import pyplot as plt
#Definindo a função
def f(x):
return x**3 -x -1
x = np.linspace(0 , 10 ,100)
y = f(x)
#Definindo o plotamento
def p(A, B):
plt.plot(x, y)
plt.xlabel("x")
plt.ylabel("y = f(x)")
plt.grid(Tr... | ViniciusPuerto/Metodos | minimos.py | minimos.py | py | 1,037 | python | pt | code | 0 | github-code | 7 | [
{
"api_name": "numpy.linspace",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplotlib.py... |
17600139210 | import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="navigation_analytics",
version="0.0.1",
author="Jose Mielgo",
author_email="mielgosez@gmail.com",
description="Toolkit that creates portable objects specialized on analyz... | mielgosez/navigation_analytics | setup.py | setup.py | py | 972 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "setuptools.setup",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 24,
"usage_type": "call"
}
] |
1908425014 | '''
Thomas constructing a Tree of N nodes, nodes labelled as 0, 1, 2, .. ,n-1.
He is given a list of N-1 edges[], where edge[i]=[v1, v2], is an undirected
edge between v1 and v2.
He can construct the tree by selecting any node as root node. Your task is
to find out the trees with the smallest height, among all the t... | sharuk2k3/FS-Elite-2021-22 | Day-26/Day_26_P_2.py | Day_26_P_2.py | py | 1,684 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "collections.defaultdict",
"line_number": 62,
"usage_type": "call"
}
] |
25456803468 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 2017/4/24 16:46
# @Version : python 3.4
# @Author : KingDow
from common import commFunc
from common import globalParams
from common.httpConfig import GetHttp
from common.logConfig import GetLog
from common.readConfig import ReadConfig
class PhpLogin(object)... | Paladin1412/practise | proAPI/interfaces/PhpLogin.py | PhpLogin.py | py | 3,440 | python | zh | code | 0 | github-code | 7 | [
{
"api_name": "common.httpConfig.GetHttp",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "common.logConfig.GetLog",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "common.commFunc.get_app_sign",
"line_number": 29,
"usage_type": "call"
},
{
"ap... |
72844391262 | import argparse
import sys
import torch
sys.path.append('../../src/utils/')
sys.path.append('../../src/transformer/')
from transformer import Transformer
parser = argparse.ArgumentParser("Speech-Transformer-pth2onnx-decoder")
parser.add_argument('--pth-path', type=str, default='./final.pth.tar')
parser.add_argument... | Ascend/ModelZoo-PyTorch | ACL_PyTorch/contrib/audio/Speech-Transformer/SpeechTransformer_pth2onnx_tgt_word_prj.py | SpeechTransformer_pth2onnx_tgt_word_prj.py | py | 1,082 | python | en | code | 31 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numbe... |
19132591853 | import json
from django.test import TestCase
# Create your tests here.
from django.urls import reverse
class RenderTextTestCase(TestCase):
def setUp(self):
pass
def test_can_render_image(self):
_url = reverse("render:detail")
payload = {
"timestamp": 1526616756,
... | Bit03/django-text2img | testapp/render/tests.py | tests.py | py | 1,844 | python | zh | code | 1 | github-code | 7 | [
{
"api_name": "django.test.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.urls.reverse",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "django.urls.revers... |
18240652415 | # -*- coding: utf-8 -*-
"""
Onyx Project
https://onyxlabs.fr
Software under licence Creative Commons 3.0 France
http://creativecommons.org/licenses/by-nc-sa/3.0/fr/
You may not use this software for commercial purposes.
@author :: Cassim Khouani
"""
from .. import api
from flask import request, Response
from onyx.deco... | OnyxAI/onyx_v1 | onyx/core/controllers/api/views/Room.py | Room.py | py | 1,404 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "onyx.api.assets.Json",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "onyx.api.room.Room",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "flask.Response",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "onyx.api.excep... |
24776921960 | import os
import pandas as pd
import pkgutil
import re
from datetime import datetime
from io import StringIO
class ccr(object):
_boat_classes = ['VA','LA']
_ccr_units = ['main','interface','expansion']
def __init__(self,serialNum:int,classType:str):
if not isinstance(serialNum,int):
r... | ojosh15/CCR_DVT | CCR/ccr.py | ccr.py | py | 4,141 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pkgutil.get_data",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "io.StringIO",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
... |
18426273116 | from lxml import html
from decimal import Decimal
import sys
import os
import json
import requests
import re
import inspect
import logging
import argparse
import yaml
#TODO: Add documentation
class Product:
def __init__(self, asin, name, price_new, price_used, link, price_external=None):
self.asin = asin
... | oswalya/crawl-me-nuts | crawler.py | crawler.py | py | 7,446 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "decimal.Decimal",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "decimal.Decimal",
... |
5072970697 | import numpy as np
from numba import njit, float64
from numba.experimental import jitclass
from fast1dkmeans.smawk import interpolate
@njit()
def reduce_iter(rows, cols, calculator, col_buffer):
# https://courses.engr.illinois.edu/cs473/sp2016/notes/06-sparsedynprog.pdf
m = len(rows)
S = col_buffer
... | Feelx234/fast1dkmeans | fast1dkmeans/smawk_iter.py | smawk_iter.py | py | 2,954 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "numba.njit",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numba.njit",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "numpy.ones",
"line_number": 48,
... |
10680299818 | """
Analyze model results
"""
import os
import sys
import json
import argparse
import pandas as pd
import numpy as np
FORMAT_F = {
"MaxReward_alpha=1": "MaxReward1",
"CartesianEqualPortion_p=1": "CartesianEqualPortion1",
"CartesianMuPortion_alpha=1": "CartesianMuPortion1",
"TempSoftmax_temp=1_p=1": "... | tomron/CSRviaMAB | AnalyzeResults.py | AnalyzeResults.py | py | 3,749 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
2389875926 | import numpy as np
import cv2
FINAL_LINE_COLOR = (0, 0, 0)
WORKING_LINE_COLOR = (255, 255, 255)
class Draw(object):
def __init__(self, window_name, clean_img=None, img_size=None):
self.window_name = window_name # Name for our window
self.img_size = img_size
self.done = False # Flag signall... | AdvaitKoparkar/Image-Restoration | lib/draw.py | draw.py | py | 2,564 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "cv2.EVENT_MOUSEMOVE",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "cv2.EVENT_LBUTTONDOWN",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "cv2.EVENT_RBUTTONDOWN",
"line_number": 32,
"usage_type": "attribute"
},
{
"ap... |
4414891641 | import os
import random
import pypokedex
import discord
from discord.ext import commands
from dotenv import load_dotenv
from banWord import banWord
load_dotenv(dotenv_path='config')
class UselessBot(commands.Bot):
def __init__(self):
super().__init__(command_prefix='=')
self.add_command(self.pi... | theopg1/discordUselessBot | main.py | main.py | py | 8,861 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": ... |
650919900 | from google.appengine.ext import ndb
import webapp2
from base_handler import BaseHandler
PAGE_SIZE = 5
class SuggestionByCursor(ndb.Model):
"""Model for storing suggestions contributed to the application.
Suggestions will be displayed in the order they were created.
"""
suggestion = ndb.StringProp... | googlearchive/appengine-paging-python | suggest_cursor.py | suggest_cursor.py | py | 2,767 | python | en | code | 21 | github-code | 7 | [
{
"api_name": "google.appengine.ext.ndb.Model",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "google.appengine.ext.ndb",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "google.appengine.ext.ndb.StringProperty",
"line_number": 15,
"usage_type": "... |
9196923472 | """Zernike polynomials."""
from collections import defaultdict
import numpy as truenp
from .jacobi import jacobi, jacobi_der, jacobi_sequence
from prysm.mathops import np, kronecker, sign, is_odd
from prysm.util import sort_xy
from prysm.plotting import share_fig_ax
def zernike_norm(n, m):
"""Norm of a Zernik... | brandondube/prysm | prysm/polynomials/zernike.py | zernike.py | py | 17,969 | python | en | code | 205 | github-code | 7 | [
{
"api_name": "numpy.sqrt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "prysm.mathops.kronecker",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "jacobi.jacobi",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "prysm.mathops.np.sin... |
26395855479 | import argparse
class Config(object):
"""
Manually setting configuration.
"""
parser = argparse.ArgumentParser()
parser.add_argument("--gpu_count", default=1, type=int)
parser.add_argument("--image_per_gpu", type=int, default=16)
parser.add_argument("--epoch", default=300, type=int)
pa... | zhuyiche/IronClassification | keras_model/keras_config.py | keras_config.py | py | 1,043 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "scipy.io.loadmat",
"line_number": 28,
"usage_type": "call"
}
] |
30703704808 | import json
import statistics
files = range(1, 13)
directory = "KeySlide/"
data = []
times = []
for i in files:
try:
f = open(directory + str(i) + "/data.txt", 'r')
content = json.loads(f.read())
data.append(content)
f.close()
f = open(directory + str(i) + "/user.txt", 'r')
content = int(f.read())
tim... | info-design-lab/KeySlide | User Study/Testing Data/keyslide analysis.py | keyslide analysis.py | py | 1,033 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "json.loads",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "statistics.mean",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "statistics.stdev",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "statistics.mean",
"li... |
24336499078 | import cv2
def main():
cap = cv2.VideoCapture(0)
while True:
ret, frame = cap.read()
if not ret:
print("Error: Failed to capture frame")
continue
cv2.imshow("Camera", frame)
if cv2.waitKey(1) == ord("q"):
break
cap.release()
cv2.d... | NguyenBao23131/AI-algorithm | DL/OpenCV/Module1/2.camera.py | 2.camera.py | py | 378 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.destroyAllWindows",
"l... |
21595598989 | import PySimpleGUI as sg
from config import BabbleConfig
from config import BabbleSettingsConfig
from collections import deque
from threading import Event, Thread
from babble_processor import BabbleProcessor, CamInfoOrigin
from enum import Enum
from queue import Queue, Empty
from camera import Camera, CameraState
from ... | SummerSigh/ProjectBabble | BabbleApp/camera_widget.py | camera_widget.py | py | 15,769 | python | en | code | 68 | github-code | 7 | [
{
"api_name": "osc.Tab",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "config.BabbleConfig",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "queue.Queue",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "osc.Tab.CAM",
"line_numbe... |
22259948287 | import zipfile
import sys
import os
import shared
class rec:
def __init__(self, hash, path):
self.sha = hash
self.path = path
def load_sha1(shafile):
with open(shafile, "r") as f:
lines = f.readlines()
for line in lines:
hash = line[5:44]
path = line[46:... | pprchal/gphotounzip | gounzip.py | gounzip.py | py | 2,517 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "os.path.exists",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_n... |
36058238638 | #! python3
# judyTweets.py - scrapes judge judy quotes from IMDB and saves them as shelf file
# tweets one quote daily at 9am to your twitter account
import os, bs4, requests, shelve, datetime, time, math
from twitter import *
ACCESS_TOKEN = ''
ACCESS_TOKEN_SECRET = ''
CONSUMER_KEY = ''
CONSUMER_SECRET =''
# FUN... | newb1234/github | judyTweets.py | judyTweets.py | py | 3,305 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "shelve.open",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "shelve.open",
"line_nu... |
23668106707 | from datetime import datetime
from hashlib import md5
from nonebot import on_command
from nonebot.adapters import Bot, Event
from nonebot.typing import T_State
ex = ['大吉', '吉', '半吉', '小吉', '末吉', '大凶', '凶', '半凶', '小吉', '末凶'] # 求签结果选项
week = ['一', '二', '三', '四', '五', '六', '日'] # 将日期转换为汉字
# 获取格式化的日期字符串
def Date():
... | retroxz/HinamoeBot | plugins/fortune/__init__.py | __init__.py | py | 1,830 | python | en | code | 5 | github-code | 7 | [
{
"api_name": "datetime.datetime.now",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "hashlib.md5",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "nonebot.on_comman... |
32018337457 | """
File: filter_trainer.py
Author: Nrupatunga
Email: nrupatunga.s@byjus.com
Github: https://github.com/nrupatunga
Description: trainer code
"""
import pytorch_lightning as pl
from custom_nets import FIP
class LitModel(pl.LightningModule):
"""Docstring for LitModel. """
def __init__(self,
... | nrupatunga/Image-filters | litmodel.py | litmodel.py | py | 732 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "pytorch_lightning.LightningModule",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "custom_nets.FIP",
"line_number": 30,
"usage_type": "call"
}
] |
9616455923 | from tabulate import tabulate
from .utils.enums import ShipDirection, ShipType, SquareStatus
class Grid:
'''
Module for working with game grid.
'''
def __init__(self) -> None:
self.__x = 10
self.__y = 10
self.__grid = list()
for i in range(self.__y):
... | mili-ae/sea-battle | game/grid.py | grid.py | py | 2,348 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "utils.enums.SquareStatus.NONE",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "utils.enums.SquareStatus",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "utils.enums.ShipDirection",
"line_number": 21,
"usage_type": "name"
},
{
... |
8039981519 | import pytest
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
@pytest.fixture
def driver():
wd = webdriver.Chrome()
wd.quit
return wd
def login(driver, ur... | MASQA/seleniumtrainingPython | test5_9.py | test5_9.py | py | 4,835 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pytest.fixture",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "selen... |
17128506977 | import unittest
from pyjsg.jsglib.loader import loads as jsg_loads
from ShExJSG import ShExJ
shex = """{
"@context": [
"http://www.w3.org/ns/shex.jsonld",
{
"@base": "http://bioentity.io/vocab/"
}
],
"type": "Schema",
"shapes": [
{
"id": "http://a.example/S1",
"ty... | hsolbrig/ShExJSG | tests/test_issues/test_issue_6.py | test_issue_6.py | py | 538 | python | en | code | 4 | github-code | 7 | [
{
"api_name": "unittest.TestCase",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "pyjsg.jsglib.loader.loads",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "ShExJSG.ShExJ",
"line_number": 27,
"usage_type": "argument"
},
{
"api_name": "un... |
38675248265 | import pandas as pd
import gspread
from search_google import *
gc = gspread.service_account(filename='creds.json')
sheet_1 = gc.open_by_key('16Ez6gDbBHtIbZRkoe3h6yG4eZeERZZEZ_LzNQ-w1lpM')
sheet_2 = gc.open_by_key('1SXBaISO7rlmxBkEhS7Gz98BtCQSJLs9JyV3RKDE4KEc')
oxygen_db_1 = sheet_1.worksheet('Sheet For Users')
oxygen... | yashbg/covid_selfhelp_chatbot | extract_data.py | extract_data.py | py | 7,928 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "gspread.service_account",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_records",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_na... |
45358136167 | import xmltodict,requests
f=open(r'C:\\Users\\pirog\\Desktop\\map1.osm',"wb") #открываем файл для записи, в режиме wb
ufr = requests.get("https://stepik.org/media/attachments/lesson/245681/map2.osm") #делаем запрос
f.write(ufr.content) #записываем содержимое в файл; как видите - content запроса
f.close()
f = open('C:\\... | pirogov-p/phyton | course_python/3.3.py | 3.3.py | py | 881 | python | ru | code | 0 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "xmltodict.parse",
"line_number": 9,
"usage_type": "call"
}
] |
30400687124 | from datetime import date, datetime
from Service.card_service import CardService
from Service.film_service import FilmService
from Service.rezervare_service import RezervareService
from Service.undoredo_service import UndoRedoService
from ViewModels.cardclient_str import CardClientString
from ViewModels.film_str impor... | CarnuStefan/Portofoliu-CV | Cinema-Python/UserInterface/console.py | console.py | py | 23,310 | python | ro | code | 0 | github-code | 7 | [
{
"api_name": "Service.card_service.CardService",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "Service.film_service.FilmService",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "Service.rezervare_service.RezervareService",
"line_number": 31,
"usage_... |
9137108688 | # Author: Bishal Sarang
# Visualise input size vs time graph for worst and best case
import matplotlib.pyplot as plt
import random
import time
from merge_sort import merge_sort
from insertion_sort import insertion_sort
def visualise():
sample_size = 1
x, y1, y2, y3 = [], [], [], []
for n in ... | Bishalsarang/COMP-314-Algorithms-and-Complexity-Labworks | Lab-2 Sorting/plotter.py | plotter.py | py | 1,883 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "time.perf_counter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "insertion_sort.insertion_sort",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tim... |
73467923744 | import glob
from skimage import registration, io
import numpy as np
g = sorted(glob.glob("movie/*jpg"))
shifts = np.full((len(g), len(g), 3), np.nan, dtype=np.double)
error = np.full((len(g), len(g)), np.nan, dtype=np.double)
phasediff = np.full((len(g), len(g)), np.nan, dtype=np.double)
image_data = []
for fname in... | dakoner/microscope_ui_experimental | old/compare.py | compare.py | py | 769 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "glob.glob",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.full",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.nan",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.double",
"line_number": 6,... |
17209276824 | from django.forms import ModelForm
from .models import Post
class PostForm(ModelForm):
class Meta:
model = Post
fields = ('text', 'group')
labels = {
'group': 'Группа',
'text': 'Текст поста',
}
help_texts = {
'group': 'Выберите группу из... | Erinnerungen/hw03_forms | yatube/posts/forms.py | forms.py | py | 450 | python | ru | code | 0 | github-code | 7 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "models.Post",
"line_number": 8,
"usage_type": "name"
}
] |
74027675742 | import pyglet
import contextlib
import colorsys
import random
UP = 0, +1
DOWN = 0, -1
LEFT = -1, 0
RIGHT = +1, 0
@contextlib.contextmanager
def pushed_matrix():
pyglet.gl.glPushMatrix()
try:
yield
finally:
pyglet.gl.glPopMatrix()
def lerp(a, b, t):
return a * (1-t) + b * t
def fli... | encukou/caterpillar-game | caterpillar_game/util.py | util.py | py | 990 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "pyglet.gl.glPushMatrix",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pyglet.gl",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pyglet.gl.glPopMatrix",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pyglet.gl... |
235675361 | # -*- coding: utf-8 -*-
"""
Created on Tue Jul 28 17:47:20 2020
@author: akanksha
"""
import pandas as pd
import numpy as np
import joblib
from sklearn.ensemble import RandomForestClassifier
from itertools import combinations
import sklearn
from functools import reduce
import os
import argparse
impor... | comprna/METEORE | combination_model_train.py | combination_model_train.py | py | 4,745 | python | en | code | 64 | github-code | 7 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "funct... |
12414039875 | # _*_ coding:utf-8 _*_
'''
Latent Dirichlet Allocation
'''
from pyspark.sql import SparkSession
from pyspark.ml.clustering import LDA
spark = SparkSession.builder.appName("LDA").getOrCreate()
paths="/export/home/ry/spark-2.2.1-bin-hadoop2.7/data/mllib/"
dataset=spark.read.format("libsvm").load(paths+"... | ruanyangry/Spark-ML-study | scripts/LDA.py | LDA.py | py | 870 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 10,
"usage_type"... |
26411193856 | from enum import Enum
from kivy.lang import Builder
from kivy.properties import StringProperty, BooleanProperty, ListProperty
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.label import Label
from kivy.uix.togglebutton import ToggleButton
from kivy.uix.widget import Widget
from pubsub import pub
from emulato... | jeremytrips/robot | emulator/interface/pinlayout.py | pinlayout.py | py | 1,648 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "kivy.uix.boxlayout.BoxLayout",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "kivy.uix.widget.Widget",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "kivy.properties.ListProperty",
"line_number": 33,
"usage_type": "call"
},
{
"... |
42723606662 | import cplex
from time import time
import pyrulelearn.utils
def _call_cplex(imli, A, y):
# A = pyrulelearn.utils._add_dummy_columns(A)
no_features = -1
no_samples = len(y)
if(no_samples > 0):
no_features = len(A[0])
else:
print("- error: the dataset is corrupted, does not have suff... | meelgroup/MLIC | pyrulelearn/cplex_wrap.py | cplex_wrap.py | py | 14,253 | python | en | code | 15 | github-code | 7 | [
{
"api_name": "cplex.Cplex",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cplex.SparsePair",
"line_number": 131,
"usage_type": "call"
},
{
"api_name": "cplex.SparsePair",
"line_number": 161,
"usage_type": "call"
},
{
"api_name": "cplex.SparsePair",
... |
74250591584 | # -*- coding: utf-8 -*-
# Create your views here.here.
from django import forms
from models import Sale
from books.models import Book
from members.models import Member
from django.contrib.auth.decorators import login_required
from django.core.exceptions import ValidationError
from django.shortcuts import render_to_resp... | chao2zhang/Library | sales/views.py | views.py | py | 3,233 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "django.forms.ModelChoiceField",
"line_number": 15,
"usage_type": "call"
},
{
"api_name":... |
70045453664 | import pygame
from configuracoes import Configuracoes
from nave import Nave
from botao import Botao
import funcoes_game as fg
from tela_pontuacao import TelaPontuacao
from pygame.sprite import Group
def rodar_game():
pygame.init() #inicializa a biblioteca paygame
configuracoes = Configuracoes() #cria ... | deilsonmartins/Game-Invasao-Alien | invasao_alien.py | invasao_alien.py | py | 1,897 | python | pt | code | 0 | github-code | 7 | [
{
"api_name": "pygame.init",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "configuracoes.Configuracoes",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygam... |
16256634934 |
import pygame
BLACK = (0,0,0)
WHITE = (255,255,255)
pygame.init()
size=(800,600)
screen =pygame.display.set_mode(size)
pygame.display.set_caption("laser5.ogg")
backgroud_position = [0,0]
backgroud_image = pygame.image.load("saturn_family1.jpg").conveert()
player_image = pygame.image.l... | Alancow/AE402_Alanco | 41.py | 41.py | py | 1,056 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "pygame.init",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pygame.displa... |
18600593186 | import requests
from bs4 import BeautifulSoup
import pandas as pd
def parser(number, username):
target_url = "https://home.gamer.com.tw/acgbox.php?page=" + str(number) + "&owner=" + str(username) + "&tab=&m="
HEADERS = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like G... | hong539/acgbox_crawler | src/test/check_pd01.py | check_pd01.py | py | 1,090 | python | zh | code | 1 | github-code | 7 | [
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_html",
"line_number": 14,
"usage_type": "call"
}
] |
26352979569 | import os
import tempfile
import argparse
from pysubparser import parser
from pydub import AudioSegment
import pyttsx3
def time_to_ms(time):
return ((time.hour * 60 + time.minute) * 60 + time.second) * 1000 + time.microsecond / 1000
def generate_audio(path, rate=200, voice_idx=0):
print("Generating a... | DeeepMaker/subtitle-to-audio | subtitle_to_audio.py | subtitle_to_audio.py | py | 2,167 | python | en | code | 10 | github-code | 7 | [
{
"api_name": "pysubparser.parser.parse",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pysubparser.parser",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "pyttsx3.init",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pydub.AudioS... |
14513391196 | import os
import sys
import winsound
from PyQt5.QtWidgets import QApplication, QWidget, QPushButton, QHBoxLayout, QGroupBox, QDialog, QVBoxLayout
from PyQt5.QtGui import QIcon
from playsound import playsound
# from Tkinter import Tk
from tkinter.filedialog import askopenfilename, Tk
import PyQt5
import simpleaudio
imp... | tobiaszkubiak31/Voice-freq-converter | newidea.py | newidea.py | py | 5,654 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "gettext.install",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "gettext.install",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "gettext.install",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "librosa.display",
... |
1618564064 | import sys
#import json
import urllib.parse
#import urllib.request
#import shutil
import datetime
import re
import subprocess
import os
import os.path
#import glob
import signal
import threading
import queue
import pprint
#import http.client
#import PIL.Image
#import magic
import hashlib
import binascii
import redis
im... | qsniyg/dlscripts | download.py | download.py | py | 37,960 | python | en | code | 3 | github-code | 7 | [
{
"api_name": "sys.path.append",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "util.tokens",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "util.tokens",
"lin... |
30648557268 |
from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.db.models import Q
# from django.contrib.auth.models import User
from django.contrib.auth import authenticate, login, logout
from ... | Viestar/NarrArtive | users/views.py | views.py | py | 10,066 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "django.db.models.Q",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "django.db.models.Q",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.db.models.Q",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "django.db.mo... |
71270899745 | import click
from text_detection import TextDetection
@click.command()
@click.option(
'-i', '--image',
prompt=True, required=True,
type=click.Path(dir_okay=False, exists=True),
help='Input image to be OCR\'d.')
@click.option(
'-o', '--output',
type=click.Path(file_okay=False, exists=True),
... | estebansolo/text-recognition | app.py | app.py | py | 1,398 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "text_detection.TextDetection",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "click.command",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "click.option",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "click.Path",
... |
13333831490 | # © Deltares 2023.
# License notice: This file is part of RA2CE GUI. RA2CE GUI is free software: you can redistribute it and/or modify it
# under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version
# 3 of the License, or (at your option) any later version. RA2... | Deltares/ra2ce-gui | src/guitools/pyqt5/date_edit.py | date_edit.py | py | 2,729 | python | en | code | 0 | github-code | 7 | [
{
"api_name": "widget_group.WidgetGroup",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QDateTimeEdit",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QLabel",
"line_number": 30,
"usage_type": "call"
},
{
"api... |
121807663 | from PIL import Image, ImageDraw, ImageFont
from os.path import dirname, join
# Constants
POS_DIREC = "in.png"
FILE_TYPE = ".png"
_FONT_RETGULAR = ".\\fonts\\" + "Alibaba-PuHuiTi-B.ttf"
_FONT_BODY = ".\\fonts\\" + "Alibaba-PuHuiTi-Regular.ttf"
safe_margin = 110
def paste_all(post_path, out_path, font_path, data_Di... | JANERUBBISHTOEAT/GPA-Mentor-Mentee | CARD/make_png.py | make_png.py | py | 6,440 | python | en | code | 1 | github-code | 7 | [
{
"api_name": "PIL.Image.open",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "PIL.ImageDraw.Draw",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "PIL.ImageDraw",
"line... |
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