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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
18570273884 | import config
import telebot
import arxiv
import sqlite3
from sqlite3 import Error
from time import sleep, ctime
bot = telebot.TeleBot(config.token)
max_results = 0
theme = ''
titles = []
id = []
last = []
def post_sql_query(sql_query):
with sqlite3.connect('arxiv.db') as connection:
c... | neksharov/arxivbot | bot.py | bot.py | py | 4,083 | python | ru | code | 0 | github-code | 6 | [
{
"api_name": "telebot.TeleBot",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "config.token",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "sqlite3.connect",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sqlite3.Error",
"... |
20649396402 | import cv2
import numpy as np
from deepface import DeepFace
from sklearn.cluster import DBSCAN
from imutils import build_montages
from tensorflow.keras.models import Model
from tensorflow.keras.applications.vgg16 import VGG16
from tensorflow.keras.preprocessing.image import load_img
from tensorflow.keras.applications.v... | huwprosser/cluster-fk | Clustering.py | Clustering.py | py | 4,121 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "numpy.where",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"l... |
7005842827 | import numpy as np
import pandas as pd
import torch
from torchvision import transforms
import skvideo.io
def fix_shape(ten_cropped):
from torchvision.transforms.functional import Tensor
ten_cropped = Tensor(ten_cropped)
ten_cropped = ten_cropped.permute(1,0,2,3,4)
ten_cropped = np.array(ten_cropped)
... | Anas-Abd-ElAziz/Realtime-Anomaly-Detection | app/I3D/ten_crop.py | ten_crop.py | py | 813 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "torchvision.transforms.functional.Tensor",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "skvideo.io.io.vread",
"line_number": 14,
"usage_type": "call"
},
{
"api_name"... |
72531202109 | import re
from pathlib import Path
from tempfile import TemporaryDirectory
from typing import Dict, List
from ..models import RegistryEndpointModel, RepoModel
DOCKER_LOGIN: str = (
"echo ${SCCI_TARGET_REGISTRY_PASSWORD} | "
"docker login ${SCCI_TARGET_REGISTRY_ADDRESS} --username ${SCCI_TARGET_REGISTRY_USER} ... | ITISFoundation/ci-service-integration-library | src/docker_publisher_osparc_services/gitlab_ci_setup/commands.py | commands.py | py | 2,766 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "models.RepoModel",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 43,
"usage_type": "name"
},
{
"api_name": "models.RegistryEndpointModel... |
833239822 | """
function to compute SSRT
requires a data frame with the following variables:
trialType: 1=stop, 0=go (can use either 1/0 or stop/go)
goRT: response time, should be nan for omissions or successful stop trials
SSD: stop signal delay for that trial (nan for go trials)
signalRespond: 1 for signal respond trials, 0 fo... | poldrack/open_science_examples | IID/analysis/get_SSRT.py | get_SSRT.py | py | 4,520 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "numpy.random.RandomState",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "numpy.hstack",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",... |
73819785146 | from typing import List
from framework.data.io_relations.dirs import many_to_one
from framework.data import fs_utils
import pandas as p
from framework.data.thread_timing import ThreadTimer
import numpy as np
def feat_maps(df: p.DataFrame, params: dict) -> None:
print("FeatMaps generation")
tt = Thre... | GAntonacci95/room_shape_classification | src/eg/features/post_processing/eg_stack.py | eg_stack.py | py | 2,373 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "pandas.DataFrame",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "framework.data.thread_timing.ThreadTimer",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "framework.data.fs_utils.get_dir_filenames",
"line_number": 13,
"usage_type"... |
32943352874 | import h5py
from .dtypes import *
def initHDF5File(fileName):
with h5py.File(fileName, 'w') as f:
f.create_dataset('segments', (0,),
dtype = segments_dtype,
maxshape = (None,))
f.create_dataset('trajectories', (0,),
dtype ... | DanielMDouglas/fakedep | fakedep/h5utils.py | h5utils.py | py | 1,264 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "h5py.File",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "h5py.File",
"line_number": 19,
"usage_type": "call"
}
] |
11466683281 | from . import models
import keras
import pandas as pd
from data_processing import binary_encode
from sklearn.model_selection import train_test_split, ParameterGrid
early_stopping = keras.callbacks.EarlyStopping(monitor='val_loss', min_delta=0,
patience=2, verbose=0,
... | ailiasi/Drafter | neuralnetwork/evaluate_models.py | evaluate_models.py | py | 4,916 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "keras.callbacks.EarlyStopping",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "keras.callbacks",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "data... |
34191741476 | #!/usr/bin/env python
from __future__ import print_function
import argparse
from collections import namedtuple
from functools import partial
from pkg_resources import resource_filename
import sys
from socket import error as socket_error
from .lookups import OnionServiceLookup
from . import (config_handlers, custom_exce... | kargig/onionrouter | onionrouter/onionrouter.py | onionrouter.py | py | 5,665 | python | en | code | null | github-code | 6 | [
{
"api_name": "pkg_resources.resource_filename",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "collections.namedtuple",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "lookups.OnionServiceLookup",
"line_number": 34,
"usage_type": "call"
},
{
... |
88548250 | import torch
x = torch.ones(2, 2, requires_grad=True)
print(x)
y = x + 2
print(y)
z = y * y * 3
out = z.mean()
print(z, out)
out.backward()
print(x.grad)
x = torch.randn(3, requires_grad=True)
y = x * 2
while y.data.norm() < 1000:
y = y * 2
print(y)
v = torch.tensor([0.1, 1.0, 0.0001], dtype=torch.float)
... | abgoswam/CS224N-Natural-Language-Processing-with-Deep-Learning | trials/pytorch_autograd_tutorial2.py | pytorch_autograd_tutorial2.py | py | 348 | python | en | code | 18 | github-code | 6 | [
{
"api_name": "torch.ones",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "torch.randn",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.tensor",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "torch.float",
"line_number": 2... |
906679513 | import argparse
import sys
import logging
import os
from gptwntranslator.command import run_export_chapters, run_scrape_chapters, run_scrape_metadata, run_translate_chapters, run_translate_metadata
from gptwntranslator.helpers.config_helper import Config
from gptwntranslator.helpers.logger_helper import CustomLogger, S... | combobulativedesigns/gptwntranslator | src/gptwntranslator/__main__.py | __main__.py | py | 11,786 | python | en | code | 18 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 93,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_n... |
16312893126 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
import pandas as pd
navegador = webdriver.SChrome()
navegador.get('https://www.google.com.br')
navegador.find_element(By.XPATH,
'/html/body/div[1]/div[3]/form/div[1]/div[1... | igorfreits/Studies-Python | Hashtag-Treinamentos/Intensivão de Python [Aula 3].py | Intensivão de Python [Aula 3].py | py | 2,124 | python | pt | code | 1 | github-code | 6 | [
{
"api_name": "selenium.webdriver.SChrome",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.XPATH",
"line_number": 10,
"usage_type": "attribute"
},
{... |
39509936039 | import argparse
from cifar.dataset import get_default_device
from ner.dataset import get_data_loaders
from ner.model import BiLSTM, BiLSTM_CRF
from ner.train import train, train_crf
# python3 train_ner.py --initialization glove --char_embeddings 1 --layer_normalization 1 --crf 1
# --output_file trained_model... | aps1310/COL_870 | Assignment 1/2020MCS2448_2020MCS2468/train_ner.py | train_ner.py | py | 3,297 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cifar.dataset.get_default_device",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "ner.dataset.get_data_loaders",
"line_number": 36,
"usage_type": "call"
},
{
... |
37379383336 | import os, random
import numpy as np
from PIL import Image
from torch.utils import data
# from dataloaders import custom_transforms as tr
import rasterio
from rasterio.enums import Resampling
import torch
import torchvision.transforms.functional as TF
def twoTrainSeg(args, root=Path.db_root_dir('gid')):
images_ba... | faye0078/RS-ImgShp2Dataset | train_example/model/Fast_NAS/data/gid.py | gid.py | py | 8,697 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
40344726364 | import requests
from bs4 import BeautifulSoup
LIMIT=10
URL=f"https://kr.indeed.com/jobs?q=python&l=%EC%9D%B8%EC%B2%9C+%EC%86%A1%EB%8F%84%EB%8F%99&limit={LIMIT}"
def get_last_page():
result=requests.get(URL)
soup=BeautifulSoup(result.text,"html.parser")
pagination=soup.find("div",{"class":"pagination"})
lin... | glauke1996/doForFun | Job_scrapper/indeed.py | indeed.py | py | 2,293 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "requests.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"l... |
26251770696 | import os
import sys
import shutil
import time
import logging
import torch
import torch.utils.data as data
import torch.nn as nn
import torchvision.transforms as transforms
from utils.metric import AverageMeter, Loss, constraints_loss
from test import test
from config import data_config, network_config, lr_scheduler, g... | TencentYoutuResearch/PersonReID-NAFS | train.py | train.py | py | 7,299 | python | en | code | 61 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_... |
4758299475 | import sys
from typing import TextIO, Optional, List
import click
from . import common
from .root import cli
from gambit.query import QueryParams, QueryInput, query, query_parse
from gambit.util.progress import progress_config
from gambit.sigs import load_signatures
from gambit._cython.threads import omp_set_num_thre... | jlumpe/gambit | gambit/cli/query.py | query.py | py | 2,781 | python | en | code | 16 | github-code | 6 | [
{
"api_name": "gambit.results.csv.CSVResultsExporter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "gambit.results.json.JSONResultsExporter",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "gambit.results.archive.ResultsArchiveWriter",
"line_number": 25... |
36159834178 | #PyQt Imports
from PyQt5.QtWidgets import QPushButton, QHBoxLayout, QVBoxLayout, QCheckBox, QMessageBox, QHeaderView
from PyQt5.Qt import QTableWidget, QTableWidgetItem, QButtonGroup, QRadioButton, QLineEdit
from PyQt5.QtCore import Qt
from TraceDocks import TraceDocks
from SnifferAPI import *
## @package TableTab
# T... | Penlane/Tracesniffer-GUI | Docks/TableTab.py | TableTab.py | py | 14,303 | python | en | code | 25 | github-code | 6 | [
{
"api_name": "TraceDocks.TraceDocks",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QVBoxLayout",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QHBoxLayout",
"line_number": 44,
"usage_type": "call"
},
{
"api... |
41896885949 | from typing import Any, Optional
import torch
import torch.nn as nn
import pytorch_lightning as pl
from dataloader.dataloader import ClassificationDataset
from torch.utils.data import DataLoader
# from torchvision import transforms
import wandb
from torch.nn import functional as F
import torchvision.models as models
fr... | kaverigoel/classifierpipeline-kafka | models/ResNet.py | ResNet.py | py | 5,042 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pytorch_lightning.LightningModule",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "typing.Any",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "torchvision.models.resnet18",
"line_number": 17,
"usage_type": "call"
},
{
"api... |
3499710279 | from collections import Counter
from typing import List
class Solution:
def topKFrequent(self, nums: List[int], k: int) -> List[int]:
# Sort hashmap of occurrences with a heap, O(n log k) if k < n else O(n log n), O(n + k)
# count = defaultdict(int)
# for num in nums:
# count[n... | maxpetretta/leetcode | top-k-frequent-elements.py | top-k-frequent-elements.py | py | 2,564 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "collections.Counter",
"line_number": 59,
"usage_type": "call"
}
] |
5762245073 | import os
import sys
import logging
scriptPath = os.path.dirname(os.path.abspath(__file__))
projRootPath = os.path.abspath(
os.path.join(scriptPath ,
os.path.join('..', '..')))
sys.path.append(projRootPath)
from pydub import AudioSegment
import scipy
import csv
from src.utils.console_functions im... | mariusdgm/AudioMining | src/sample_mixing/sound_mixing.py | sound_mixing.py | py | 3,961 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line... |
1004797150 | # -*- coding: utf-8 -*-
"""
Created on Fri Jan 11 20:06:31 2019
@author: saksake
"""
import sys
import numpy as np
import pandas as pd
import seaborn as sns
import tensorflow as tf
from sklearn.datasets import load_boston
import matplotlib.pyplot as plt
def datasets() :
# LOAD BOSTON HOUSING DATASET
boston = ... | rofiqq/Machine-Learning | High_API/regressor/boston_housing/boston_housing_keras.py | boston_housing_keras.py | py | 7,510 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sklearn.datasets.load_boston",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.cut",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "tensorflow.k... |
34760418233 | from pyfiglet import Figlet
import qrcode
RRODUCT = []
flag = 1
def ADD():
new_product = input('Enter product Code, Name , Price, Amount: ')
new_product = new_product.replace(' ', ',')
myfile = open('database', 'a')
myfile.write('\n')
myfile.write(new_product)
# myfile = open('da... | Hoda-Shad/Python | Assignment6/main.py | main.py | py | 6,176 | python | en | code | 4 | github-code | 6 | [
{
"api_name": "qrcode.make",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pyfiglet.Figlet",
"line_number": 153,
"usage_type": "call"
}
] |
26112407225 | __authors__ = ["H. Payno"]
__license__ = "MIT"
__date__ = "23/07/2019"
from silx.gui import qt
from silx.gui.plot.tools.roi import RegionOfInterestManager
from silx.gui.plot.tools.roi import RegionOfInterestTableWidget
from silx.gui.plot.items.roi import RectangleROI, PolygonROI, ArcROI
from silx.gui.plot import Plot2... | silx-kit/silx | examples/plotROIStats.py | plotROIStats.py | py | 10,801 | python | en | code | 106 | github-code | 6 | [
{
"api_name": "threading.Thread",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "silx.gui.utils.concurrent.submitToQtMainThread",
"line_number": 43,
"usage_type": "call"
},
{
"a... |
71503036028 | #!/usr/bin/env python
# coding=utf-8
import xlrd,sys,os
ios_project_dir='../../frameworks/runtime-src/proj.ios_mac/ios'
localizableFileName='Localizable.strings'
IOS_FILE_DICT={
u'中文':'zh-Hans.lproj',
u'English':'en.lproj',
u'FR':'fr.lproj',
u'IT':'it.lproj',
u'Deutsch':'de.lproj',
u'ES':'es.lproj',
u'BRPT':'p... | kusukk/bird | tools/languageTranslate/trans.py | trans.py | py | 2,438 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "xlrd.open_workbook",
"l... |
18598169295 | from __future__ import annotations
from data_access.dto import SportDTO
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from fake_lib.providers import (
SportProvider,
RandomValueFromListProvider
)
class SportFactory:
def __init__(
self,
sport_provider: SportProv... | pyteacher123/py35-onl | sports_db_project/populate_db/factories/sport.py | sport.py | py | 649 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "typing.TYPE_CHECKING",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "fake_lib.providers.SportProvider",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "fake_lib.providers.RandomValueFromListProvider",
"line_number": 15,
"usage_type": "n... |
31965995131 | from fastapi import HTTPException, status, UploadFile, File
from passlib.context import CryptContext
from config.db import userCollection, notification_collection
from utils import regex_check
from utils.user_utils import get_user_from_user_id
from log import logger
from pyuploadcare.client import Uploadcare
# import y... | ikarus-puneet/user-testing | utils/user_information_utils.py | user_information_utils.py | py | 13,998 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "log.logger",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "logging.getLogger",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "log.logger.setLevel",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "log.logger",
"li... |
38777276926 | from xlrd import open_workbook
import pandas as pd
import sys
p = 'd:\\projects\\ysdd.xlsm'
w = 'total.xls'
p = sys.argv[1]
wb = open_workbook(p)
table = {}
for s in wb.sheets():
date = s.name
for row in range(s.nrows):
name = s.cell(row, 0).value
value = s.cell(row, 3).value
if nam... | maxwell-lv/MyQuant | ysdd.py | ysdd.py | py | 518 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "xlrd.open_workbook",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_dict",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.Dat... |
27598188328 | from django.shortcuts import render,get_object_or_404
from django.views.generic import ListView,CreateView,UpdateView
from .models import Post,Comment,Like
from django.template.defaultfilters import register
from django.contrib.auth import get_user_model
from django.contrib.auth.decorators import login_required
from dj... | Abhishekvaish/BlogShare | blog/views.py | views.py | py | 4,948 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "django.template.defaultfilters.register.filter",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.template.defaultfilters.register",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.template.defaultfilters.register.filter",
"line... |
22187102734 | from PIL import Image
import os
import cv2
gt_path = "/media/kaan/Sata/Datasets/Robotaksi/GermanTrafficSignDetectionBenchmark/gt.txt"
ds_path = "/media/kaan/Sata/Datasets/Robotaksi/GermanTrafficSignDetectionBenchmark/"
output_path_img = "/home/kaan/Desktop/german_yolo/img/"
output_path_label = "/home/kaan/Desktop/ger... | musaceylan/handy_codes | gtsdb_to_yolo.py | gtsdb_to_yolo.py | py | 2,215 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 1... |
71964992829 | """Identify issues that need triage."""
from code_intelligence import graphql
from code_intelligence import util
import datetime
from dateutil import parser as dateutil_parser
import fire
import json
import logging
import os
import numpy as np
import pprint
import retrying
import json
PROJECT_CARD_ID = os.getenv('INP... | kubeflow/code-intelligence | py/issue_triage/triage.py | triage.py | py | 21,438 | python | en | code | 55 | github-code | 6 | [
{
"api_name": "os.getenv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "code_intelligence.graphql.unpack_and_split_nodes",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "code_intelligence.graphql",
"line_number": 48,
"usage_type": "name"
},
{
... |
24178461263 | ### encoding: utf8 ###
from pymongo import MongoClient
from settings import MONGO_SERVER
# TODO: put it somewhere else.
INFLATION = {1992: 2.338071159424868,
1993: 2.1016785142253185,
1994: 1.8362890269054741,
1995: 1.698638328862775,
1996: 1.5360153664058611,
1997: 1.4356877762122495,
1998: 1.3217305991625745,
... | idoivri/localbudgets-v2 | server/models.py | models.py | py | 3,645 | python | en | code | 5 | github-code | 6 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "settings.MONGO_SERVER",
"line_number": 47,
"usage_type": "argument"
}
] |
12240066351 | #!/usr/bin/python3
import pytest
from brownie import accounts, compile_source
module_source = """
pragma solidity 0.4.25;
contract TestModule {
address owner;
constructor(address _owner) public { owner = _owner; }
function getOwner() external view returns (address) { return owner; }
function getP... | zerolawtech/ZAP-Tech | tests/OrgCode/Modular/test_attach_detach.py | test_attach_detach.py | py | 3,507 | python | en | code | 27 | github-code | 6 | [
{
"api_name": "brownie.compile_source",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "brownie.accounts",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "pytest.fixture... |
4148554485 | import os
import sys
import logging
import yaml
import openai
import speech_recognition as sr
from gtts import gTTS
from subprocess import run
from UserInput import UserInput
from openai_module import OpenAI
from AudioProcessor import AudioProcessor
class Sabia:
def __init__(self, config_file):
self.config... | jbhntr861/Sabia | sabia.py | sabia.py | py | 1,955 | python | en | code | 6 | github-code | 6 | [
{
"api_name": "AudioProcessor.AudioProcessor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "yaml.safe_l... |
42742864161 | # -*- coding: utf-8 -*-
# @Time : 2020/3/30 11:06
# @Author : Hui Wang
import numpy as np
import tqdm
import random
import torch
import torch.nn as nn
from torch.optim import Adam
from utils import recall_at_k, ndcg_k, get_metric
class Trainer:
def __init__(self, model, train_dataloader,
e... | aHuiWang/CIKM2020-S3Rec | trainers.py | trainers.py | py | 12,589 | python | en | code | 66 | github-code | 6 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.optim.Adam... |
43622972980 | # -*- coding: utf-8 -*-
import argparse
import sys
from pathlib import Path
from loguru import logger
try:
import gi
gi.require_version('PangoCairo', '1.0')
gi.require_version('Gtk', '3.0')
gi.require_version('Gdk', '3.0')
from gi.repository import Gdk, Gtk
except (ValueError, ImportError):
r... | thermitegod/mcomix-lite | mcomix/main.py | main.py | py | 2,203 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "gi.require_version",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "gi.require_version",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "gi.require_version",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "argparse.Arg... |
32644528797 | import json
from mgear.core import widgets
from mgear.shifter.game_tools_fbx import fbx_export_node
EXPORT_NODE_NAME = "mgearFbxExportNode"
class ExporterSettingsManager(widgets.WidgetSettingsManager):
PARTITIONS = "partitions"
ANIM_CLIPS = "anim_clips"
def __init__(self, ui_name, parent=None):
... | mgear-dev/mgear4 | release/scripts/mgear/shifter/game_tools_fbx/settings_manager.py | settings_manager.py | py | 1,785 | python | en | code | 209 | github-code | 6 | [
{
"api_name": "mgear.core.widgets.WidgetSettingsManager",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "mgear.core.widgets",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "mgear.shifter.game_tools_fbx.fbx_export_node.FbxExportNode.get",
"line_numbe... |
23007644152 | #!/usr/bin/env python
#
"""
Interface to Dark Matter spectra
"""
import sys
import yaml
import numpy as np
from astropy.table import Table, Column
import astropy.io.fits as pf
from dmsky.priors import create_prior_functor
from fermipy import castro
from fermipy import fits_utils
from fermipy.utils import load_ya... | fermiPy/dmpipe | dmpipe/dm_spectral_utils.py | dm_spectral_utils.py | py | 44,739 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fermipy.castro.CastroData_Base",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "fermipy.castro",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "fermipy.spectrum.DMFitFunction.channel_rev_map",
"line_number": 106,
"usage_type": "at... |
24622919209 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
from setuptools import setup
from os import path
myPath = path.abspath(path.dirname(__file__))
with open(path.join(myPath, "README.md"), encoding="utf-8") as f:
README = f.read()
setup(
name="kurdish",
version="1.1.5",
author="Dolan Hêriş",
... | 0xdolan/kurdish | setup.py | setup.py | py | 1,777 | python | en | code | 32 | github-code | 6 | [
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number"... |
10128481024 | import random
import time
import matplotlib.pyplot as plt
import numpy as np
import time
import math
class Node():
def __init__(self, loc, time):
self.loc = loc
self.t = time
def __sub__(self, other):
return abs(self.loc - other.loc)
def __str__(self):
return f"Node:l({sel... | CaptainZidgel/poppyseed | pop.py | pop.py | py | 7,185 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "time.time",
"line_number": 111,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number": 114,
"usage_type": "call"
},
{
"api_name": "random.random",
"line_number": 120,
"usage_type": "call"
},
{
"api_name": "random.seed",
"line_number... |
36379020828 | import os
from sqlite3 import DatabaseError
from matplotlib.axis import XAxis
import numpy as np
import clr
import sys
import ctypes
import json
import pandas as pd
import matplotlib.pyplot as plt
from pyqtgraph.Qt import QtCore,QtGui
from pyqtgraph.graphicsItems.PlotDataItem import dataType
import pyqtgraph.opengl as ... | jimmyzhang0408/OpenView_for_NDT | getting_AScan_raw_data/plot_AscanPlot_with_gate.py | plot_AscanPlot_with_gate.py | py | 7,836 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "clr.FindAssembly",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "clr.AddReference",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "clr.FindAssembly",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "clr.AddReference",... |
74492955386 | """Helper file.
NOTE: THIS FILE WAS USED AS A HELPER FILE DURING DEVELOPMENT OF THE PIPELINE.
IT IS NOT INTEGRATED WITHIN THE PIPELINE.
"""
import glob
import json
import os
# number extraction is hard coded. Better idea would be to delimitate order index from the filename
# by a "_"
sorted_frames = sorted(
[os.... | porscheofficial/speed-estimation-traffic-monitoring | speed_estimation/modules/streaming/capturing/frames_to_json.py | frames_to_json.py | py | 695 | python | en | code | 12 | github-code | 6 | [
{
"api_name": "os.path.basename",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numb... |
8352308944 | # standard libraries
import sys
import asyncio
import functools
# dependencies
from PyQt5.QtWidgets import QApplication
from PyQt5.QtCore import Qt
import qasync
# local modules
from window import Window
async def main():
'''
required by qasync
'''
def close_future(future, loop):
loop.call_l... | rexosorous/Rat-Looter-2 | app.py | app.py | py | 810 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "asyncio.get_event_loop",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "asyncio.Future",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "qasync.QApplication.instance",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "qa... |
27750915763 | # coding=utf-8
import json
# import logging
# import sys
from datetime import date, datetime, timedelta
from decimal import Decimal
from functools import partial
import requests
from flask import Flask, Response, make_response
from requests.exceptions import Timeout
# sys.stdout = sys.stderr
# logging.basicConfig(st... | songbaixin18/aiquanzhanServer | flask_app.py | flask_app.py | py | 2,486 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "json.JSONEncoder",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime",
"line_number": 20,
"usage_type": "argument"
},
{
"api_name": "datetime.date",
"line_number": 22,
"usage_type": "argument"
},
{
"api_name": "decimal... |
30408355943 | import word_set as ws, os, time
import matplotlib.pyplot as plt
time_lst = []
amount_of_words_lst = [1000,2000,3000,4000,5000]
path1k ='C:/Users\Mikael/python_courses/1DT901/mg223tm_groupproj/part4/words_for_graph/1k.txt'
path2k ='C:/Users\Mikael/python_courses/1DT901/mg223tm_groupproj/part4/words_for_graph/... | atakanoc/english-language-analysis | part4/hashing_graph.py | hashing_graph.py | py | 2,613 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "word_set.new_empty_set",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "word_set.add_with_full",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "time.time",
... |
75163508666 | # -*- coding: utf-8 -*-
from flask import redirect, url_for, render_template, Blueprint
from flask_security import current_user
from . import route
from dxc.app.models.carpool import CarpoolForm
from dxc.services import api_carpool
bp = Blueprint('carpool', __name__, template_folder='templates', static_folder='stati... | cash2one/Luyasi-Flask | dxc/app/frontend/carpool.py | carpool.py | py | 1,866 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "flask.Blueprint",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dxc.app.models.carpool.CarpoolForm",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask_security.current_user.get_id",
"line_number": 19,
"usage_type": "attribute"
},... |
71577889787 | import os
from aqt import mw
addon_folder_abs_path = os.path.dirname(__file__)
css_folder = os.path.join(addon_folder_abs_path, "css")
user_files_folder = os.path.join(addon_folder_abs_path, "user_files")
def get_anki_version():
try:
# 2.1.50+ because of bdd5b27715bb11e4169becee661af2cb3d91a443, https:... | langfield/syntax-highlighting | config.py | config.py | py | 1,313 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7... |
31492509396 | #!/bin/env python
import boto3
import pandas as pd
import os
import sys
import json
import qwl_functions
GTM_ENDPOINT_NAME = os.environ['GTM_ENDPOINT_NAME']
MODEL_TIME_STAMP = os.environ['MODEL_TIME_STAMP']
def lambda_handler(event, context):
response_json = {
"output":[]}
print("Received event: " + ... | suryaprathapk/lambda_drl_price_model | lambda_function.py | lambda_function.py | py | 4,414 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "json.dumps",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_numb... |
44680352754 | import vec3
import ray
import hittable
from utils import rand_double
from abc import ABC, abstractmethod
from dataclasses import dataclass
import numpy as np
import texture
class material(ABC):
@abstractmethod
def scatter(self, r_in: ray, rec: hittable):
pass
class lambertian:
... | Yunchun/Ray-Tracing | material.py | material.py | py | 3,619 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "abc.ABC",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "abc.abstractmethod",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "vec3.add",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "vec3.random_unit_vec",
"line_... |
72532099069 | """ Overrides models in fastapi_pagination
Usage:
from fastapi_pagination.api import create_page
from ...models.pagination import LimitOffsetPage, LimitOffsetParams
"""
from collections.abc import Sequence
from typing import Any, ClassVar, Generic, TypeAlias, TypeVar
from fastapi_pagination.limit_offset imp... | ITISFoundation/osparc-simcore | services/api-server/src/simcore_service_api_server/models/pagination.py | pagination.py | py | 2,217 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "typing.TypeVar",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "fastapi_pagination.links.limit_offset.LimitOffsetPage.with_custom_options",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "fastapi_pagination.links.limit_offset.LimitOffsetPage",
... |
33490477312 | import logging
import os
from typing import List
import pymongo.collection
from dotenv import load_dotenv
from pymongo import MongoClient, common
from .fetch import FetchData
from .structure import Lecture
logger = logging.getLogger(__name__)
load_dotenv()
class OperateMongoDB:
def __init__(
self,
... | murakami10/crawling-naist-lecture | src/crawling_naist_syllabus/operatedb.py | operatedb.py | py | 3,219 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_... |
26251784146 | import torch
import torch.nn as nn
import torch.nn.functional as F
import math
import numpy as np
import logging
from torch.nn.parameter import Parameter
import torch.nn.functional as F
import pickle
from torch.autograd import Variable
logger = logging.getLogger() ... | TencentYoutuResearch/PersonReID-NAFS | utils/metric.py | metric.py | py | 20,302 | python | en | code | 61 | github-code | 6 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.pow",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "torch.div",
"line_n... |
21049493663 | from __future__ import absolute_import
from django import forms
from django.conf import settings
from django.utils.translation import ugettext_lazy as _
from sentry.constants import TAG_LABELS
from sentry.models import ProjectOption
from sentry.web.forms.fields import RangeField
class ProjectTagsForm(forms.Form):
... | ryanwang520/sentry | src/sentry/web/forms/projects.py | projects.py | py | 4,065 | python | en | code | null | github-code | 6 | [
{
"api_name": "django.forms.Form",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.forms",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.forms.MultipleChoiceField",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "... |
28245924188 | import numpy as np;
import cv2 as cv;
import matplotlib.pyplot as plt;
import math
colors=[(0,0,0),(127,127,127),(255,255,255)]
figures=[0,1,2]
power=5
def get_colors(i):
if (i==0):
return [0,1]
if (i==1):
return [0,2]
if (i==2):
return [1,2]
if (i==3):
return [1,0]
i... | delican001/krutov-o-d | source/kr.py | kr.py | py | 3,160 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "numpy.random.randint",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "cv2.rectangle",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
... |
11372853386 | import re
import os
from os import listdir
from os.path import isfile
from os.path import join
from os.path import basename
import yaml
def load_yaml_schema(source_dir):
"""
Returns:
A dictionary whose keys are the schema file basenames and whose values are
nested dictionaries represented by t... | miti-consortium/mititools | mititools/serializers/cerberus_yaml.py | cerberus_yaml.py | py | 1,482 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number":... |
74401572347 | import json
import pickle
from typing import Union
import numpy as np
import pandas as pd
class Model:
def infer(self, x: Union[dict, str, np.ndarray]):
if isinstance(x, str):
x = json.loads(x)
if isinstance(x, dict):
x = np.array(x['x'])
... | jkarolczak/streamlit-presentation | model.py | model.py | py | 631 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.Union",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_nu... |
38992923351 | from django.db import models
from django.db import migrations
class Advertisement(models.Model):
title = models.CharField(
max_length=100,
verbose_name="Название",
)
description = models.TextField(
verbose_name="Описание",
)
price = models.DecimalField(
ver... | lirik7002/module_4 | app_lesson4/advertisement/app_lesson4/advertisement/lesson_4/models.py | models.py | py | 1,526 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "django.db.models.CharField",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "... |
26043376326 | from __future__ import annotations
from typing import ContextManager
import pytest
from pants.option.alias import CliAlias, CliAliasCycleError, CliAliasInvalidError
from pants.option.scope import ScopeInfo
from pants.testutil.pytest_util import no_exception
from pants.util.frozendict import FrozenDict
def test_may... | pantsbuild/pants | src/python/pants/option/alias_test.py | alias_test.py | py | 6,644 | python | en | code | 2,896 | github-code | 6 | [
{
"api_name": "pants.option.alias.CliAlias",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pants.option.alias.CliAlias.from_dict",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pants.option.alias.CliAlias",
"line_number": 29,
"usage_type": "name"
... |
19239142492 | import sys
input = sys.stdin.readline
from collections import deque
q = deque()
N = int(input())
while True:
n = int(input())
if n == -1:
break
if n:
if not len(q) == N:
q.append(n)
else:
q.popleft()
if not q:
print('empty')
else:
for s in q:
prin... | sdh98429/dj2_alg_study | BAEKJOON/queue/b15828.py | b15828.py | py | 333 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.stdin",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 5,
"usage_type": "call"
}
] |
72532755709 | from aiohttp import web
from pydantic import ByteSize, Field, NonNegativeInt, parse_obj_as
from settings_library.base import BaseCustomSettings
from .._constants import APP_SETTINGS_KEY
class ProjectsSettings(BaseCustomSettings):
PROJECTS_MAX_COPY_SIZE_BYTES: ByteSize = Field(
parse_obj_as(ByteSize, "30G... | ITISFoundation/osparc-simcore | services/web/server/src/simcore_service_webserver/projects/settings.py | settings.py | py | 950 | python | en | code | 35 | github-code | 6 | [
{
"api_name": "settings_library.base.BaseCustomSettings",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "pydantic.ByteSize",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pydantic.Field",
"line_number": 9,
"usage_type": "call"
},
{
"api_name":... |
24492386955 | # -*- coding:utf-8 -*-
import torch
import os
import numpy as np
from Model_Block import Resnet1d, Resnet2d
from Model_Fusion_Network import MahFusion_Network
from Model_Fusion_Loss import Fusion_loss
from Data_Sampler import TrainSampler, TestSampler
from Parser import Parser
import glob
def Split_model_param(model)... | gdphmcenter/DSFSFD | Train.py | Train.py | py | 7,433 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "Data_Sampler.TrainSampler",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "Model_Fusion_Loss.Fusion_loss",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.optim.Adam",
"line_number": 31,
"usage_type": "call"
},
{
"api_name... |
32895842047 | from fixtures import * # noqa: F401,F403
from lightning import RpcError
from utils import wait_for, TIMEOUT, only_one
import json
import logging
import os
import pytest
import struct
import subprocess
import time
import unittest
with open('config.vars') as configfile:
config = dict([(line.rstrip().split('=', 1)... | nayuta-ueno/lightning-cdecker | tests/test_gossip.py | test_gossip.py | py | 57,234 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "os.getenv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "utils.wait_for",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "utils.wait_for",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "utils.wait_for",
"line_nu... |
40297331250 | import random
import numpy as np
from collections import defaultdict
# <--->
from .basic import max_ships_to_spawn
from .board import Player, Shipyard, Launch
from .helpers import find_shortcut_routes
from .logger import logger
# <--->
class _ShipyardTarget:
def __init__(self, shipyard: Shipyard):
self... | w9PcJLyb/kore-beta-bot | src/offense.py | offense.py | py | 4,176 | python | en | code | 10 | github-code | 6 | [
{
"api_name": "board.Shipyard",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "numpy.inf",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "board.spawn_cost",
"line_number": 41,
"usage_type": "attribute"
},
{
"api_name": "board.shipyard_co... |
19009287332 | """
Functions to assist in parallel processing with Python 2.7.
* Memory-friendly iterator functionality (wrapping Pool.imap).
* Exit with Ctrl-C.
* Easy use of n_jobs. (e.g. when n_jobs == 1, processing is serial)
* Similar to joblib.Parallel but with the addition of imap functionality
and a more effective way of h... | columbia-applied-data-science/rosetta | rosetta/parallel/parallel_easy.py | parallel_easy.py | py | 16,061 | python | en | code | 204 | github-code | 6 | [
{
"api_name": "sys.stdout",
"line_number": 58,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout",
"line_number": 68,
"usage_type": "attribute"
},
{
"api_name": "multiprocessing.Manager",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "multiprocessi... |
10423305023 | from __future__ import annotations
import dataclasses
from unittest.mock import ANY, AsyncMock
import pytest
from PySide6 import QtWidgets
from randovania.gui.docks.connection_filtering_widget import ConnectionFilteringWidget
from randovania.layout.base.trick_level import LayoutTrickLevel
from randovania.layout.vers... | randovania/randovania | test/gui/docks/test_connection_layer_widget.py | test_connection_layer_widget.py | py | 2,014 | python | en | code | 165 | github-code | 6 | [
{
"api_name": "randovania.layout.base.trick_level.LayoutTrickLevel.HYPERMODE",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "randovania.layout.base.trick_level.LayoutTrickLevel",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "dataclasses.replace",
... |
18278855418 | # -*- coding: utf-8 -*-
"""
cron: 31 7 * * *
new Env('AcFun');
"""
import re
import requests
import urllib3
from notify_mtr import send
from utils import get_data
urllib3.disable_warnings()
class AcFun:
def __init__(self, check_items):
self.check_items = check_items
self.contentid = "27259341"... | fu-c-k/checkinpanel | ck_acfun.py | ck_acfun.py | py | 5,174 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "requests.session",
... |
9312542157 | import argparse
import os
import re
import sys
ITEM_REGEX = re.compile(r"(\w+)(=(.*))?")
def parse_items(file):
items = {}
for line in file:
match = ITEM_REGEX.search(line)
if not match:
print(f'Invalid configuration line "{line}"', file=sys.stderr)
continue
k... | jzgriffin/gros | make/generator/config.py | config.py | py | 2,482 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "re.compile",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.stderr",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_num... |
4034576434 | """Tools for visualization"""
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import os
import os.path as osp
from pathlib import Path
from functools import reduce
from loguru import logger
import math
import seaborn as sns
from CompNet.utils.io_utils import write_img, resiz... | hansongfang/CompNet | CompNet/utils/vis_utils.py | vis_utils.py | py | 12,733 | python | en | code | 33 | github-code | 6 | [
{
"api_name": "matplotlib.pyplot.get_cmap",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.float... |
1245345017 | import pandas as pd
from tqdm import tqdm
import pickle
import os
import re
from absplice_scripts.visualization.benchmark import get_performance
from absplice_scripts.utils.mapping_utils import subset_tissues
valid_cols = [
'outlier',
*snakemake.params['model_dict'].values(),
]
def median_cutoff(_df):
# m... | gagneurlab/AbSplice_analysis | workflow/scripts/common/benchmark/performance_dna.py | performance_dna.py | py | 2,170 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "tqdm.tqdm",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.read_parquet",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "absplice_scripts.visualiz... |
17414224976 | # coding=utf-8
from PyQt5.QtWidgets import QMainWindow, QApplication, QWidget, QFrame, QVBoxLayout, QHBoxLayout, QPushButton, QDesktopWidget
from PyQt5.QtGui import QFont, QCursor
from PyQt5.QtCore import Qt
from src.database.DataQuery import get_movies_info, get_directors_info, get_sorted_genres_info, get_starring_inf... | josephding23/FelKub-Movie-Archive | src/MoviesArchive.py | MoviesArchive.py | py | 7,084 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "src.database.DataQuery.get_movies_info",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QPushButton",
"line_number": 41,
"usage_type": "call"
},... |
73128013949 | from rest_framework import serializers
from django.shortcuts import get_object_or_404
from courses.models import (
Text,
File,
Image,
Video,
StudyNote,
Course,
TopicObjective,
TopicGuideLine,
Topic,
SubTopic,
Review,
StudentCourseEnrollment,
Author,
PublisherCity,
Publisher,... | DUMBALINYOLO/gbc_oms | courses/serializers/admin.py | admin.py | py | 13,808 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "rest_framework.serializers.StringRelatedField",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 35,
"us... |
71608268669 | import warnings
warnings.filterwarnings('ignore')
import os
import sys
if os.getcwd() in sys.path:
sys.path.append('../')
else:
sys.path.append(os.getcwd())
import torch
import argparse
from djtransgan.config import settings
from djtransgan.utils import check_exist, out_json
from djtrans... | ChenPaulYu/DJtransGAN | script/train.py | train.py | py | 2,317 | python | en | code | 86 | github-code | 6 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"l... |
32447419052 | # load dependacies
import pandas as pd
import numpy as np
import random as random
from sklearn import preprocessing
from sklearn.metrics import mean_squared_error
from matplotlib import pyplot
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers ... | jindeok/Lottery_Prediction | Lottery_prediction/model.py | model.py | py | 4,104 | python | en | code | 11 | github-code | 6 | [
{
"api_name": "tensorflow.keras.models.Sequential",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.LSTM",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.Dense",
"line_number": 26,
"usage_type": "call"
... |
35778895326 | # -*- coding: utf-8 -*-
"""
Created on 2021/5/4 11:47 上午
@Author: fduxuan
Desc:
"""
from .helper import *
from fastapi import APIRouter, Response, Body, File, Form
from error import *
from pydantic import BaseModel, Field
import re
import io
from typing import Optional
from model.base import gen_uuid... | fduxuan/Information-System-Spring-2021 | Backend/router/department.py | department.py | py | 4,441 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pydantic.BaseModel",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "pydantic.Field",
"line_number": 38,
"usage_type": "call"
}
] |
41682584480 | """remove payor <-> provider join table
Revision ID: ba3bae2b5e27
Revises: af6f8d819b86
Create Date: 2018-01-05 14:01:10.100376
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'ba3bae2b5e27'
down_revision = 'af6f8d819b86'
branch_labels = None
depends_on = None
... | MondayHealth/provider-import | alembic/versions/ba3bae2b5e27_remove_payor_provider_join_table.py | ba3bae2b5e27_remove_payor_provider_join_table.py | py | 1,153 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "alembic.op.drop_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "alembic.op.create_table",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "alembic.op",... |
40009842950 | import asyncio
import json
from random import randint
from time import sleep
from channels.generic.websocket import AsyncWebsocketConsumer
class NotificationConsumer(AsyncWebsocketConsumer):
async def connect(self):
self.room_name = "notifications"
self.room_group_name = "notifications"
a... | wasiqwiqar/MandrillListener | Listener/Mandrill/consumers.py | consumers.py | py | 1,151 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "channels.generic.websocket.AsyncWebsocketConsumer",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "json.loads",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 42,
"usage_type": "call"
}
] |
13479247243 | from typing import List
class Solution:
def exclusiveTime(self, n: int, logs: List[str]) -> List[int]:
stack = []
res = [0] * n
last = 0
for log in logs:
spl = log.split(':')
idx = int(spl[0])
lent = int(spl[2])
if spl[1] == "start"... | 1xingao/1xingao | python/main/soluation.py | soluation.py | py | 3,419 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
5986287170 | from django.db import models
LAYOUTS = (
('1', """Line 1: Headline
Line 2: Author
Line 3: Pub Date
Line 4: Source
Line 5: Begin Story"""),
('2', """Line 1: Headline
Line 2: Author
Line 3: Source
Line 4: Begin Story"""),
('3', """File Name: Headline
Line 1: Author
Line 2: Pub Date
Line 3: Source
Line 4: Beg... | netconstructor/cms_utility | publisher/models.py | models.py | py | 1,084 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "django.db.models.Model",
"line_number": 30,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "django.db.models.EmailField",
"line_number": 34,
"usage_type": "call"
},
{
"api_name... |
72633899707 | import pandas as pd
import yfinance as yf
#Extraindo os dados do Banco do Brasil do Yahoo Finance
bbas3 = yf.Ticker('BBAS3.SA')
historico = bbas3.history(period= '5y')
print(historico)
#Extraindo os historico de dividendos dos ultimos 5 anos
dividendos = bbas3.dividends
dados = pd.DataFrame(dividendos).reset_index()... | DiegoAlexandres/python-for-finance-bbas3 | analise_bbas3.py | analise_bbas3.py | py | 855 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "yfinance.Ticker",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 11,
"usage_type": "call"
}
] |
18476196576 | import tornado.httpserver
import tornado.ioloop
import tornado.web
import json
import webapp
import database
global dbn
store_setting_nodi = None
class GetListaNodiHandler(tornado.web.RequestHandler):
def get(self):
global store_setting_nodi
#***************************************
#*****... | salviador/LightHub | raspberry/app/Nodi.py | Nodi.py | py | 4,580 | python | it | code | 0 | github-code | 6 | [
{
"api_name": "tornado.httpserver.web",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "tornado.httpserver",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "webapp.dbn.Read_Lista_Nodi_return_JSON",
"line_number": 35,
"usage_type": "call"
},
{
... |
5479370117 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions import Categorical, MixtureSameFamily
from maniskill2_learn.utils.torch import ScaledTanhNormal, ScaledNormal, CustomIndependent
from ..builder import REGHEADS
from .regression_base import ContinuousBaseHead
class GaussianBase... | haosulab/ManiSkill2-Learn | maniskill2_learn/networks/regression_heads/gaussian.py | gaussian.py | py | 7,431 | python | en | code | 53 | github-code | 6 | [
{
"api_name": "regression_base.ContinuousBaseHead",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Parameter",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "torch.... |
36712607728 | from django.urls import path
from . import new_views
app_name = 'new'
urlpatterns = [
path('sensor/trend', new_views.sensor_trend, name='sensor_trend'),
path('sensor/errors', new_views.sensor_errors, name='sensor_errors'),
path('sensor/settings', new_views.sensor_settings, name='sensor_settings'),
pat... | novelsk/AtlasDjango | app/atlas/new_urls.py | new_urls.py | py | 1,572 | python | en | code | 0 | github-code | 6 | [
{
"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",
... |
19124325113 | import glob
from kivy.app import App
from kivy.properties import (
ObjectProperty,
StringProperty,
)
from serial.tools.list_ports import comports
from kivy.uix.button import Button
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.stacklayout import StackLayout
from kivy.uix.popup import Popup
from kivy.u... | siemanko/microgrid | interface/gui.py | gui.py | py | 3,735 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "kivy.uix.textinput.TextInput",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "kivy.uix.label.Label",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "kivy.uix.boxlayout.BoxLayout",
"line_number": 43,
"usage_type": "name"
},
{
"ap... |
24961027926 | from __future__ import division
import rospy
import numpy as np
import tf
import csv
import math
from scipy.signal import savgol_filter
import ur_robot as ur
saved_cloudXYZ = None
cloud_csv = './src/edge_follower/save_cloud.csv'
write_once = False
intervals = 1
# Sorting
refvec = [0,1]
origin = [0,0]
# Seperate the ... | vincent51689453/ur3_edge_follower | src/edge_follower/follower.py | follower.py | py | 5,488 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "math.hypot",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "math.atan2",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "math.pi",
"line_number": 46,
... |
19053943948 | import pandas as pd
import numpy as np
from collections import defaultdict
import os
import re
import sys
input_path_to_files = sys.argv[1]
output_name_of_file = sys.argv[2]
# example: python evaluate_clustering.py /g/scb2/bork/mende/specI_euks/vsearch//combined3//clustering_comb3/ evaluation_clusterings.csv
def mai... | zellerlab/specI_utilities | scripts/evaluate_clustering.py | evaluate_clustering.py | py | 3,238 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_num... |
39183176356 | from typing import List
vector = List[float]
vectors = List[vector]
def foo(v: vectors) -> vector:
return v[0]
my_vector = [
[1.0, 2.0, 3.0],
[4.0, 5.0, 6.0]
]
print(foo(my_vector))
| mahfuzurrahman98/typing-in-python | third.py | third.py | py | 201 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 5,
"usage_type": "name"
}
] |
69862803709 | import networkx as nx
import matplotlib.pyplot as plt
from discopygal.solvers import Robot, RobotDisc, RobotPolygon, RobotRod
from discopygal.solvers import Obstacle, ObstacleDisc, ObstaclePolygon, Scene
from discopygal.solvers import PathPoint, Path, PathCollection, Solver
from discopygal.solvers.samplers import *
f... | Kahanalon/Robo | prm.py | prm.py | py | 7,313 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "discopygal.solvers.Solver",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "discopygal.geometry_utils.collision_detection.collide_two_robots",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "discopygal.geometry_utils.collision_detection",
"... |
34719306966 | import discord
from dotenv import load_dotenv
from discord.ext import commands
load_dotenv()
f = open('secret.txt', 'r')
token = f.readline().strip()
person = f.readline().strip()
# genius = f.readline().strip()
f.close()
client = commands.Bot(command_prefix = '$')
@client.event
async def on_ready():
print(f'{cli... | ByteOfKathy/fun_projects | discordbot/bot.py | bot.py | py | 873 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "discord.ext.commands",
"line_number": 11,
"usage_type": "name"
}
] |
33461043264 | from tkinter import *
from tkinter import ttk
import sqlite3
from tkinter import messagebox
fundo = 'midnightblue'
root = Tk()
root.title("Cadastro de Produtos")
root.configure(bg=fundo,border=4)
root.geometry("990x690+50+20")
style = ttk.Style()
style.configure('Treeview.Heading',font=('arial',10,'bold'))
cor = '... | gurian-1974/frente-de-caixa-nfce | cadastro_produto.py | cadastro_produto.py | py | 9,639 | python | pt | code | 0 | github-code | 6 | [
{
"api_name": "tkinter.ttk.Style",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "sqlite3.connect",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tkinter.messagebox.askq... |
16397985901 | import os
import pygame
from Entities.Item import Item
class CountItem(Item):
def __init__(self, id, name, position, image, opacity_disable, hint, min_value, max_value, value_increase,
value_start, enable=True):
self.value = value_start
self.value_increase = value_increase
... | linsorak/LinSoTracker | Entities/CountItem.py | CountItem.py | py | 2,188 | python | en | code | 3 | github-code | 6 | [
{
"api_name": "Entities.Item.Item",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "Entities.Item.Item.__init__",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "Entities.Item.Item",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "Enti... |
15687078152 | """help functions for milvus database
"""
import numpy as np
import struct
from pymilvus import CollectionSchema, FieldSchema, DataType, Collection, Milvus
from pymilvus import connections
import pandas as pd
from pymilvus import utility
import multiprocessing, logging
import time
import json
import gc
import random
im... | ReBatch-ML/AnswerSearch | packages/milvus_functions.py | milvus_functions.py | py | 7,326 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymilvus.FieldSchema",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pymilvus.DataType.INT64",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "pymilvus.DataType",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "p... |
39673092654 | import fileinput
from typing import List
from common import Point, plot
def _simulate(field: List[List[str]], threshold: int) -> int:
total = 0
full = False
while not full:
sand = Point(500, 0)
while not full:
if sand.y > threshold:
full = True
i... | cmatsuoka/aoc | 2022 - expedition/14 - regolith reservoir/solution1.py | solution1.py | py | 1,295 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "typing.List",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "common.Point",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "fileinput.FileInput",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "common.Point.unmarsh... |
10356638707 | import torch
from torch.utils.data import Dataset
import numpy as np
from random import randint
from scipy.io.wavfile import read #reading .wav files
from os import listdir #parse directories
from os.path import isfile, join #parse directories
import cv2 #resizing vectors with interpolation of values
from librosa.effec... | remit0/SpeechRecognitionProject | dataset.py | dataset.py | py | 13,935 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "os.listdir",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_num... |
29564769245 | """
encode:utf-8
Author:aidan.hu
Data:2022/1/15
"""
import time
from decimal import Decimal
import pytest
from common.logger import logger
from operation.contract.client.account.get_account_info import get_account_info
from operation.contract.client.order.order_request import OrderRequest
from operation.contract.clien... | shiqilouyang/thanos_test | test_cases/contract/client/order/test_cancel_order.py | test_cancel_order.py | py | 7,112 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "decimal.Decimal",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "operation.contract.client.quote.qoute_symbol_index_price.qoute_symbol_index_price",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "operation.contract.client.order.order_request.O... |
1440203353 | import numpy
import bpy
import nodeitems_utils
from nodeitems_utils import NodeCategory, NodeItem
class ImageSocket(bpy.types.NodeSocket):
bl_idname = "ImageSocket"
bl_label = "Image Node Socket"
t_value = numpy.zeros((4, 2), dtype=numpy.float16)
# Optional function for drawing the socket input valu... | amb/blender-texture-tools | inactive/image_processing_nodes.py | image_processing_nodes.py | py | 5,244 | python | en | code | 74 | github-code | 6 | [
{
"api_name": "bpy.types",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.float16",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "bpy.types",
"line_nu... |
25153067099 | #!/usr/bin/env python
from move_base_msgs.msg import MoveBaseGoal
from geometry_msgs.msg import Pose, Quaternion, Point, PoseStamped
from std_msgs.msg import Header
import tf.transformations as transformations
import numpy
import math
class Movement:
def __init__(self, nav_server, map_frame, poses_service):
... | EyalSeg/toari-assignment4 | ass4/scripts/movement.py | movement.py | py | 2,708 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "move_base_msgs.msg.MoveBaseGoal",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "numpy.l... |
18338161846 | import pymongo
from pymongo import MongoClient
myclient= pymongo.MongoClient('mongodb://localhost:27017/')
database=myclient["codes"]
collection=database["subjects"]
data=([{"Maths":77,"English":79,"Computer":65,"Biology":87}])
newvalues = { "$set": { "Maths": "98" } }
Updation=collection.update(data,newvalues)
prin... | MayuriTambe/Programs | Programs/SqlConnection/MongoCRUD/Updation.py | Updation.py | py | 370 | python | en | code | 0 | github-code | 6 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 4,
"usage_type": "call"
}
] |
41705626947 | import numpy as np
import matplotlib.pyplot as plt
import scipy.optimize as optimization
import math as m
import scipy.constants
# Application example: load and fit data to black body curve (Planck radiation law)
# Constants
h = scipy.constants.Planck
kb = scipy.constants.k
c = scipy.constants.c
# Kelvin to Celsius ... | kalleadolfsson/spec-streamer | tools/black_body_fit.py | black_body_fit.py | py | 1,379 | python | en | code | 2 | github-code | 6 | [
{
"api_name": "scipy.optimize.constants",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "scipy.optimize",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "scipy.optimize.constants",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_na... |
72597824508 | #!/usr/bin/env python3
import argparse
import sys
import os
from src import decorateindenter
def error(reason):
print("ERROR: {}".format(reason), file=sys.stderr)
def main(args):
streamMode = (args.file is sys.stdin)
if streamMode:
indBuffer = []
indString = ""
try:
... | IjonTichy/decindent | main.py | main.py | py | 1,981 | python | en | code | 1 | github-code | 6 | [
{
"api_name": "sys.stderr",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "src.decorateindenter.DecorateIndenter",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "... |
16602046609 | from django.test import TestCase
from django.shortcuts import resolve_url as r
from myproject.core.models import Person
from .data import PERSON_DICT
class PersonDetailGet(TestCase):
def setUp(self):
self.obj = Person.objects.create(**PERSON_DICT)
self.resp = self.client.get(r('core:person_detail... | rg3915/fique-em-casa | myproject/core/tests/test_view_person_detail.py | test_view_person_detail.py | py | 1,314 | python | en | code | 7 | github-code | 6 | [
{
"api_name": "django.test.TestCase",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "myproject.core.models.Person.objects.create",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "myproject.core.models.Person.objects",
"line_number": 10,
"usage_type": "... |
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