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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
32028536551 | from .BlockingMatching import BlockingMatching
from Evaluation.Evaluation import valuta_blocking
from CorrispBuilder.CorrisBuilder import CorrisBuilder
from copy import deepcopy
import pandas as pd
import networkx as nx
class EntityMatching:
def __init__(self, sources):
self.sources = sources
def pr... | allePansera/BI_functions | Blocking/EntityMatching.py | EntityMatching.py | py | 6,384 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.DataFrame",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "BlockingMatching.BlockingMatching",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "CorrispBuilder.CorrisBuilder.CorrisBuilder",
"line_number": 46,
"usage_type": "call"
... |
3686817437 | """
Functions that aid weighting the visibility data prior to imaging.
There are two classes of functions:
- Changing the weight dependent on noise level or sample density or a combination
- Tapering the weihght spatially to avoid effects of sharp edges or to emphasize a given scale size in the image
"""
__a... | NLESC-quantum/rascil | rascil/processing_components/imaging/weighting.py | weighting.py | py | 5,022 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "rascil.processing_components.image.operations.image_is_canonical",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "rascil.processing_components.griddata.operations.create_gridda... |
36323086412 | # -*- coding:utf-8 -*-
# --Based on YOLOX made by Megavii Inc.--
import os
from pathlib import Path
import torch.nn as nn
from experiments.ours_exp import Exp as MyExp
class Exp(MyExp):
def __init__(self):
super(Exp, self).__init__()
self.memory = True
self.heads = 4
self.memory_... | Liyi4578/OFMA | experiments/test_exp.py | test_exp.py | py | 601 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "experiments.ours_exp.Exp",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 23,
"usage_type": "call"
}
] |
24092756790 | from ducttapp.models import db
from datetime import datetime
from flask_restplus import fields
class UserAction(db.Model):
def __init__(self, **kwargs):
for k, v in kwargs.items():
setattr(self, k, v)
__tablename__ = 'user_action'
id = db.Column(db.Integer, primary_key=True, autoincre... | anhducc13/flask-app | ducttapp/models/user_action.py | user_action.py | py | 884 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "ducttapp.models.db.Model",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "ducttapp.models.db",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "ducttapp.models.db.Column",
"line_number": 12,
"usage_type": "call"
},
{
"api_name... |
25178147488 | import base64
class Module:
def __init__(self, mainMenu, params=[]):
# metadata info about the module, not modified during runtime
self.info = {
# name for the module that will appear in module menus
'Name': 'LaunchDaemon',
# list of one or more authors for the... | EmpireProject/Empire | lib/modules/python/persistence/osx/launchdaemonexecutable.py | launchdaemonexecutable.py | py | 5,824 | python | en | code | 7,153 | github-code | 18 | [
{
"api_name": "base64.b64encode",
"line_number": 102,
"usage_type": "call"
}
] |
38629844881 | import boto3
import logging
from boto3.dynamodb.conditions import Attr, Key
dynamodb = boto3.resource('dynamodb')
pifTable = dynamodb.Table('PIFs')
def save_pif(pif_obj):
logging.info('Storing PIF [%s] to DDB', pif_obj.postId)
pifTable.put_item(
Item={
'SubmissionId': pif_obj.postId,
... | waab76/PIFBot | utils/dynamo_helper.py | dynamo_helper.py | py | 1,896 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "boto3.resource",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.debug",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "boto3.dynamodb.conditions.At... |
32362602177 | import logging
from io import BytesIO
from sys import exc_info
from traceback import format_exception
from lxml import etree
from odoo import _, api, fields, models, tools
from odoo.exceptions import UserError, ValidationError
logger = logging.getLogger(__name__)
class ResCompany(models.Model):
_inherit = "res... | OCA/intrastat-extrastat | intrastat_base/models/res_company.py | res_company.py | py | 2,559 | python | en | code | 32 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "odoo.models.Model",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "odoo.models",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "odoo.fields.Many... |
17536820432 |
import sys
from PyQt5.QtWidgets import (QApplication, QMessageBox, QFrame, QVBoxLayout, QToolBar, QTextEdit,
QToolButton, QScrollArea)
from PyQt5 import QtGui
import copydata
class App(QFrame):
def __init__(self):
super().__init__()
self.setWindowTitle('Multi... | akabhi5/multiclipboard | main.py | main.py | py | 2,274 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QFrame",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QIcon",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.Q... |
4820004142 | """
827. Making a Large Island
You are given an nxn binary matrix grid. You are allowed to change at most one 0 to be 1.
Return the size of the largest island in grid after applying this operation.
An island is a 4-directionally connected group of 1 s.
Example1:
Input: grid = [[1,0],[0,1]]
Output: 3
Explanation: Cha... | tkwang0530/LeetCode | 0827.py | 0827.py | py | 3,484 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 95,
"usage_type": "attribute"
},
{
"api_name": "unittest.main",
"line_number": 113,
"usage_type": "call"
}
] |
70537699880 | from __main__ import app
from flask import Flask, request, render_template, Response, jsonify, redirect, url_for
from werkzeug.utils import secure_filename
import os
from math import log
import time
from mongoengine import connect
#Clases registradas
import DataBase as dbase
from vuelo import Vuelo
from avion import A... | Cheveniko/Proyecto-Web-Backend | avion_views.py | avion_views.py | py | 2,392 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "app.db",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "app.db",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "bson.json_util.dumps",
"line_n... |
25974737283 | from __future__ import absolute_import, print_function
import unittest
import os.path
import io
import numpy as np
from numpy.testing import assert_array_equal, \
assert_array_almost_equal, assert_almost_equal
from .textimporter import read_csv, \
COLUMNS, UnsupportedCsvFormatException, \
Csv... | Sh4pe/pynance | pynance/textimporter_balance_test.py | textimporter_balance_test.py | py | 6,401 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "unittest.TestCase",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path",
... |
12583962921 | import cv2 as cv
""" # Read image and output it as matrix of pixels
img = cv.imread('Resources/Photos/cat.jpg')
#img = cv.imread('Resources/Photos/cat_large.jpg')
# Display image
cv.imshow('Cat', img)
# Wait for any key to be pressed
cv.waitKey(0) """
# Read video
# To use camera connected to computer, use 0 as arg... | Emanuele-n/surgical-copilot | tests/test.py | test.py | py | 1,113 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "cv2.convertScal... |
37008554901 | import shelve
from typing import List, Set, Union
from random import choice
from ctf.model import Challenge, Team, User
def select_winners(
challenges: List[Challenge], teams_only: bool, users: List[User]
) -> List[Challenge]:
challenges_with_possible_winners = _remove_previous_winners(challenges, teams_only)... | INSRapperswil/csd-ctf-winner | ctf/winner.py | winner.py | py | 2,211 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "ctf.model.Challenge",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "ctf.model.User",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "random.choice",
"line... |
27387904479 | from jmetal.algorithm.multiobjective.nsgaiii import NSGAIII, UniformReferenceDirectionFactory
from jmetal.core.quality_indicator import HyperVolume
from jmetal.lab.visualization import Plot, InteractivePlot
from jmetal.operator import SBXCrossover, PolynomialMutation
from jmetal.util.evaluator import *
from jmetal.util... | sharwinbobde/MLHD-insights | python-code/src/EA_Main.py | EA_Main.py | py | 2,583 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "src.utils.RecSysProblem.RecSysProblem",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "jmetal.algorithm.multiobjective.nsgaiii.NSGAIII",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "jmetal.algorithm.multiobjective.nsgaiii.UniformReferenceDir... |
71427573480 | import pandas as pd
from tqdm.notebook import tqdm
df = pd.read_csv('../input/jigsaw-multilingual-toxic-comment-classification/validation.csv')
df = df.sample(100, random_state=12)
df.head(3)
df['lang'].unique()
from transformers import MarianMTModel, MarianTokenizer
df['content_english'] = ''
for i, lang in tqdm(en... | aorursy/new-nb-3 | jeabat_translate-the-comments-using-marianmt.py | jeabat_translate-the-comments-using-marianmt.py | py | 1,239 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "tqdm.notebook.tqdm",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "transformers.MarianTokenizer.from_pretrained",
"line_number": 28,
"usage_type": "call"
},
{
"ap... |
21100992594 | import logging
import os
import random
import tempfile
from pathlib import Path
from typing import List, Union
import numpy
import onnx
import torch
from onnx_model import OnnxModel
from torch_onnx_export_helper import torch_onnx_export
from transformers import MT5Config, T5Config
from onnxruntime import InferenceSes... | microsoft/onnxruntime | onnxruntime/python/tools/transformers/models/t5/t5_encoder.py | t5_encoder.py | py | 5,811 | python | en | code | 9,700 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "typing.Union",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "transformers.T5Config",
... |
7239452008 | #!/bin/python
from urllib2 import urlopen
from collections import namedtuple
from subprocess import check_call, Popen, PIPE
import socket
import fcntl
import struct
import platform
import getpass
import os
# Written by: Phantom Raspberry Blower (The PRB)
# Date: 01-10-2018
# Description: Script for displaying system... | PhantomRaspberryBlower/repository.prb-entertainment-pack | script.system-info/resources/lib/systeminfo.py | systeminfo.py | py | 16,312 | python | en | code | 7 | github-code | 18 | [
{
"api_name": "getpass.getuser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "socket.gethostname",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.geteuid",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "platform.platform",
... |
17470767481 | import asyncio
import websockets
from concurrent.futures import ThreadPoolExecutor
from enum import Enum
from loguru import logger
import json
from goopy_ibcp.zmq_publisher import ZmqPublisher
from goopy_certificate.certificate import Certificate, CertificateError
from goopy_ibcp.ibmsg_tick import IBMsgConverterTick
f... | Gootopia/goopy_ibcp | goopy_ibcp/clientportal_websockets.py | clientportal_websockets.py | py | 8,317 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "enum.Enum",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "goopy_ibcp.zmq_publisher.ZmqPublisher",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "loguru.logger.log",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "log... |
557650893 | from django.test import TestCase
from dfirtrack_main.models import Recommendation
class RecommendationModelTestCase(TestCase):
"""recommendation model tests"""
@classmethod
def setUpTestData(cls):
# create object
Recommendation.objects.create(recommendation_name='recommendation_1')
... | dfirtrack/dfirtrack | dfirtrack_main/tests/recommendation/test_recommendation_models.py | test_recommendation_models.py | py | 2,314 | python | en | code | 451 | github-code | 18 | [
{
"api_name": "django.test.TestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "dfirtrack_main.models.Recommendation.objects.create",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "dfirtrack_main.models.Recommendation.objects",
"line_number": 12,
... |
74103285479 | import datetime
import pymongo
client = pymongo.MongoClient("mongodb://localhost:27017/")
db = client["amazon"]
def add_product_detail(details):
new = db["products"]
ASIN = details["url"][len(details["url"])-10:len(details["url"])]
try:
details["date"] = datetime.datetime.utcnow()
new.u... | ArticB/amazon_price_tracker | db.py | db.py | py | 817 | python | en | code | 18 | github-code | 18 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "attribute"
}
] |
15656236123 | import geopandas as gpd
import numpy as np
import json
from shapely import geometry
from sklearn.cluster import KMeans
import math
import branca
import folium
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from collections import defaultdict
from pandas import DataFrame
from matplotlib im... | meowoodie/Police-Zone-Redistricting | southfulton/plot.py | plot.py | py | 4,565 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "numpy.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "geopandas.read_file",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "designinit.beat_with_max_wor... |
72998973160 | # -*- coding: utf-8 -*-
__author__ = 'Robert Zeng'
__updated__ = '18.08.2018' # day.month.year
import logging
"""
All objects imported here are exposed as the public API of GoogleScraper
"""
logging.getLogger(__name__)
| robertzengcn/Marketingtool | Marketingtool/__init__.py | __init__.py | py | 228 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 16,
"usage_type": "call"
}
] |
24701990509 | #Importing packages
import streamlit as st
import numpy as np
import os
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
from keras.applications.inception_v3 import InceptionV3
import cv2 as cv
from PIL import Image
classes = ['Pepper__bell___healthy',
'Potato___Early_blight',
... | shreyas739/PlantWebApp | WebApp.py | WebApp.py | py | 1,679 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "streamlit.title",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "streamlit.file_uploader",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
... |
3648797052 | import torch
import torch.nn as nn
import torch.nn.functional as F
#计算attention
class ScaledDotProductAttention(nn.Module):
''' Scaled Dot-Product Attention '''
def __init__(self, temperature, attn_dropout=0.1):
super().__init__()
# 其实就是论文中的根号d_k
self.temperature = temperature
... | Eason0921/transformer-torchvision | Modules.py | Modules.py | py | 1,957 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "torch.nn.Dropout",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_num... |
75128970281 | import matplotlib.pyplot as plt
import numpy as np
fig, ax = plt.subplots(2, 1, figsize=(10, 6), tight_layout=True,
facecolor=(.18, .31, .31))
x = np.arange(10)
classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']
cmap = plt.get_cmap('tab10')
for idx, c in e... | guguguc/programming | python/scripts/matplotlib/color.py | color.py | py | 631 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "numpy.arange",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyp... |
35570666584 | from flask import Flask, render_template
import csv, os
def load_scores(filename):
with open(filename, newline='') as csvfile:
reader = csv.DictReader(csvfile)
players = []
for line in reader:
players.append(line)
return players
def process_scores(players):
dict_list = ... | digao666/Plant_Vs_Zombie_Scorebord | app.py | app.py | py | 1,471 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "csv.DictReader",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "flask.render_template... |
1874120578 | """Autocompletion functionality of epigraphdb entities
"""
from typing import Any, Callable, List
import requests
from elasticsearch import Elasticsearch
from elasticsearch.helpers import bulk
from app.settings import api_key, api_url
from app.utils import api_request_headers, batch_by_n
from app.utils.logging import... | MRCIEU/epigraphdb_web | backend/app/funcs/elasticsearch/autocomplete.py | autocomplete.py | py | 2,077 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "elasticsearch.Elasticsearch",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Callable",
... |
10873144436 | import os
import librosa
import argparse
import numpy as np
from tqdm import tqdm
from concurrent.futures import ThreadPoolExecutor, as_completed
from scipy.io import wavfile
def resample_wave(wav_in, wav_out, sample_rate):
wav, _ = librosa.load(wav_in, sr=sample_rate)
wav = wav / np.abs(wav).max() * 0.6
... | PlayVoice/so-vits-svc-5.0 | prepare/preprocess_a.py | preprocess_a.py | py | 2,201 | python | en | code | 1,994 | github-code | 18 | [
{
"api_name": "librosa.load",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.abs",
"line_number": 13,
... |
32361485831 | #!/usr/bin/python3
import os
import os.path
import sys
import subprocess
import argparse
import glob
from subprocess import call
from os.path import expanduser
#from fileinput import filename
##############################################################################################
################... | FICS/android_extract | AndroidExtract.py | AndroidExtract.py | py | 117,968 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "os.path.expanduser",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 137,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"line_number": 199,
"usage_type": "call"
},
{
"api_name": "subproces... |
6878634320 | from __future__ import print_function, division
import math
import numpy as np
import torch
from torch import nn, Tensor
import torch.nn.functional as F
from typing import Optional, List
from functools import partial
from torch.nn.modules.loss import _Loss
try:
from itertools import ifilterfalse
except ImportErr... | pankratozzi/ML_pet_projects | pytorch_keras_CV/pytorch_segmentation/Transformer_Unet_segmentation/dlosses.py | dlosses.py | py | 36,671 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "torch.Tensor",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "torch.from_numpy",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
6540797215 | import argparse
import logging
from concurrent import futures
import grpc
import info_pb2
import info_pb2_grpc
from transformers import pipeline, set_seed
class TextGenerationServiceServicer(info_pb2_grpc.TextGenerationServiceServicer):
def __init__(self):
set_seed(42)
self.generator = pipeline("... | cccntu/my-line-bot | grpc-transformer/server.py | server.py | py | 1,262 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "info_pb2_grpc.TextGenerationServiceServicer",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "transformers.set_seed",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "transformers.pipeline",
"line_number": 14,
"usage_type": "call"
... |
71831059561 | import telegramModule
import os
import sys
import time
from datetime import date
from datetime import timedelta
import sqlite3
import hiworks
# 환경설정 파일 읽기.
exefilePath = os.path.dirname(sys.argv[0])
dbFile = exefilePath+'/holyday.db'
# 텔래그램 아이디를 가지고 오자.
notiGroupTelegramId = os.environ.get("TELEGRAM_GROUP_ID_OF_ADM... | hansu35/hiworks_parser_for_me | getVacation.py | getVacation.py | py | 4,590 | python | ko | code | 0 | github-code | 18 | [
{
"api_name": "os.path.dirname",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.environ.get",
"line... |
28428808141 | from typing import List
class QAPair:
def __init__(self, task: str):
self.task = task
def from_row(self, row):
self.gif_name: str = row.gif_name
self.question: str = row.question.lower()
if self.task in ['action', 'trans']:
self.answers: List[str] = [
... | SunDoge/L-GCN | dataset/qa_pair.py | qa_pair.py | py | 489 | python | en | code | 24 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 14,
"usage_type": "name"
}
] |
15164931833 | import collections
import os # for testing if configs are valid paths.
from tinydb import TinyDB, Query
from tinydb.operations import set
import consoleprint as console
from webconfig import WebConfig
class Singleton(type):
_instances = {}
def __call__(cls, *args, **kwargs):
if cls not in cls._insta... | Jorricks/unrar-angel | configer.py | configer.py | py | 16,194 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.expanduser",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_nu... |
8988344921 | import re
import time
from addressnet.predict import predict
import pandas as pd
from collections import Counter
from dbhepler.mysqlhelper import DBPipeline
from apscheduler.schedulers.blocking import BlockingScheduler
from excel_re import read_excel
import os
import glob
import setting as setting
total_path = glob... | ADGuys/address-net | predict_shh.py | predict_shh.py | py | 11,434 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "glob.glob",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_excel",
"line_num... |
20325497702 | """Initial setup
Revision ID: 1ad4d4de5fb9
Revises:
Create Date: 2020-08-13 11:06:17.871892
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '1ad4d4de5fb9'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
# ### commands auto gene... | simonhyslop/ridetime | migrations/versions/1ad4d4de5fb9_initial_setup.py | 1ad4d4de5fb9_initial_setup.py | py | 1,855 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
36367880288 | from aocd.models import Puzzle
import numpy as np
from collections import Counter
DAY = 3
YEAR = 2021
def main():
puzzle = Puzzle(year=YEAR, day=DAY)
puzzle.answer_a = solve_a(puzzle.input_data)
puzzle.answer_b = solve_b(puzzle.input_data)
def parse_report(raw_input):
return np.array([list(row) fo... | MDornacher/AdventOfCodeSolutions | aocs/aoc_2021/day03.py | day03.py | py | 2,607 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "aocd.models.Puzzle",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
37643919528 | import random
import shutil
from collections import defaultdict
from itertools import chain
from pathlib import Path
from typing import Set, Tuple, List, Dict
import Levenshtein
from tqdm import tqdm
from paraphone.tasks.dictionaries import DictionaryCSV
from paraphone.tasks.filters.base import FilteringTaskMixin, Ca... | MarvinLvn/paraphone | paraphone/tasks/filters/simple.py | simple.py | py | 7,411 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "paraphone.tasks.filters.base.FilteringTaskMixin",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "paraphone.workspace.Workspace",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 31,
"usage_type": "call"
},... |
14579558250 | from typing import List
from typing import Tuple
import chainer
import chainer.functions as F
import chainer.links as L
from chainer import Parameter
from chainer import Variable
import numpy as np
from cnmt.misc.constants import EOS
from cnmt.misc.constants import PAD
from cnmt.misc.typing import ndarray
from cnmt.m... | nakario/cnmt | cnmt/models/decoder.py | decoder.py | py | 6,445 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "chainer.Chain",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "chainer.links.EmbedID",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "chainer.links",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "chainer.links.... |
16153845777 | from random import randint
# Plotly
from plotly import offline
# recommended starting point
import plotly.express as px
# in-depth access point
import plotly.graph_objects as pgo
class Die:
"""A single die"""
def __init__(self, sides:int = 6) -> None:
"""Initialise a new die"""
self.sides =... | Thomt0m/Data_Visualisation_Python | plotly_die_rolling.py | plotly_die_rolling.py | py | 2,064 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.randint",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "plotly.graph_objects.Figure",
"line_number": 86,
"usage_type": "call"
},
{
"api_name": "plotly.grap... |
40320391521 | import requests # used for sending requests to the API
import json # used for manipulating JSON data
import pprint # used for formatting the output of JSON objects received in API responses
import os
import sys
base_path = os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))
sys.path.insert(0, base_pa... | acronis/acronis-cyber-platform-python-examples | authorization/issue_access_token.py | issue_access_token.py | py | 1,085 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_nu... |
74646082278 | import glob
import http.server
import io
import logging
import os
import pathlib
import socketserver
import shutil
from datetime import datetime
from PIL import Image, ImageFont, ImageDraw
from pilapse.ip_finder import get_local_ip
PATH = '.'
logger = logging.getLogger('server')
class H(http.server.BaseHTTPRequestHa... | yix/pilapse | pilapse/server.py | server.py | py | 2,719 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "http.server.server",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "http.server",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
... |
41568150710 | from selenium import webdriver
import time
import os
#указываем какой и откуда брать файл
current_dir = os.path.abspath(os.path.dirname(__file__))
file_name = "test.txt"
file_path = os.path.join(current_dir, file_name)
try:
link = "http://suninjuly.github.io/file_input.html"
browser = webdriver.Chrome()
... | axectly/qa | tests/lesson2.2-8.py | lesson2.2-8.py | py | 1,050 | python | ru | code | 0 | github-code | 18 | [
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
86597275780 | import requests
from bs4 import BeautifulSoup
import csv
driving_side_url = 'https://en.wikipedia.org/wiki/Left-_and_right-hand_traffic'
html_text = requests.get(driving_side_url).text
soup = BeautifulSoup(html_text, 'html.parser')
tables = soup.find_all('table')
table = tables[1]
table_body = table.find('tbody')
da... | ajoneshs/anki | geoguessr/driving_side/exploring_wiki.py | exploring_wiki.py | py | 922 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 23,
"usage_type": "call"
}
] |
36100548093 | import tempfile
import io
from colorama import Back
from flask import Flask
from flask import request, render_template, url_for, jsonify, send_file
from pytube import YouTube
from pytube.exceptions import RegexMatchError, VideoUnavailable
import iuliia
app = Flask(__name__)
@app.route("/", methods=["GET"])
def inde... | Sharker5854/Youtube-downloader-online | app.py | app.py | py | 2,181 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask.url_for",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.url_for",
"... |
31148274310 | from django.contrib import admin
from django.urls import path, include
from django.conf import settings
from django.conf.urls.static import static
from rest_framework_simplejwt.views import (
TokenObtainPairView,
TokenRefreshView,
TokenVerifyView,
)
urlpatterns = [
path('admin/', admin.site.urls),
... | iamenochchirima/ModernMinds | backend/modernminds/urls.py | urls.py | py | 941 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "... |
39679391514 | """Contains PyTorch Lightning LightningModule class for multimodal contrastive learning."""
import torch
from torch import nn, Tensor
from pytorch_lightning import LightningModule
from simclr.modules import NT_Xent, LARS
class MultimodalLearning(LightningModule):
def __init__(
self,
args,
... | klean2050/VCMR | vcmr/trainers/multimodal_learning.py | multimodal_learning.py | py | 4,587 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "pytorch_lightning.LightningModule",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torch... |
29583732738 | from typing import List
class Solution:
def solveNQueens(self, n: int) -> List[List[str]]:
board = [['.'] * n for _ in range(n)]
self.n = n
self.result = []
self.col = [False] * n
self.diag, self.codiag = set(), set()
self.backtrack(board, 0)
return s... | HALF-MAN/lt | python/51. N-Queens.py | 51. N-Queens.py | py | 1,093 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 3,
"usage_type": "name"
}
] |
39888877779 | #!/usr/bin/env python
# coding: utf-8
import os
import time
import argparse
import numpy as np
import logging
import torch
from torchvision import models
from torchvision import transforms
from PIL import Image
import tensorrt as trt
import engine as eng
from onnx import ModelProto
import pycuda.driver as cuda
impo... | ksriyudthsak/jetson_nano_study | tensorrt_performance_comparision/compare_tensorrt_native.py | compare_tensorrt_native.py | py | 10,686 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "tf2onnx.convert.from_keras",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tf2onnx.convert",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "onnx.save",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torchvision... |
34687033792 | import requests
def handle_no_ban():
print('No bans detected')
def handle_ban(body_json):
ban_count = len(body_json['bans'])
can_appeal = body_json['canAppeal']
ban_info = body_json['bans']
print('Ban count: ' + str(ban_count))
print('Can appeal: ' + str(can_appeal))
print('Ban info:... | superjke/check_ban | main.py | main.py | py | 809 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "requests.get",
"line_number": 20,
"usage_type": "call"
}
] |
19652179940 | import numpy as np
import os
import cv2
import time
import mediapipe as mp
savePath = './face_recognition/FaceDetected'
def collate_fn(x):
return x[0]
cap = cv2.VideoCapture(0)
# Ensure video file is opened
if not cap.isOpened():
print("Error opening video file")
exit()
mp_face_mesh = mp.solutions.f... | vinhdv-dgh/RepoFaceAngleOfVinh | index.py | index.py | py | 8,837 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mediapipe.solutions",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "mediapipe.solutions",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "cv... |
70406614121 | import docx
file = docx.Document()
# 添加段落
file.add_paragraph('Hello World', 'Title') # add_paragraph 方法可以用于写入一段文段，第一个参数接受写入的内容，第二段参数接受样式。返回的是 Paragraph 对象
para_obj1 = file.add_paragraph('This is a second paragraph.')
para_obj2 = file.add_paragraph('This is a yet another paragraph.')
para_obj1.add_run("This text is ... | RyanLin1995/python | Python_automation/13_PDF和Word文档/02_Word文档/03_写入Word文档.py | 03_写入Word文档.py | py | 1,309 | python | zh | code | 0 | github-code | 18 | [
{
"api_name": "docx.Document",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "docx.enum",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "docx.enum",
"line_number": 27,
"usage_type": "attribute"
}
] |
17454167493 | import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
import os
from stockfish import Stockfish
stockfish = Stockfish(r'C:/Users/15193/OneDrive/PYTHON/ChessDetect/SF/stockfish-11-win/stockfish-11-win/Windows/stockfish_20011801_x64.exe')
# FLANN PARAMS
# FLANN_INDEX_KDTREE = 0
# index_params ... | RowanH6/ChessDetect | src/chessdet.py | chessdet.py | py | 4,842 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "stockfish.Stockfish",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "cv2.IMREAD_GRAYSCALE",
"... |
7108080655 | import requests
from async_helper import Async
async def get_homepages():
quora_future = Async.run_in_executor(None, requests.get, 'http://www.quora.com')
reddit_future = Async.run_in_executor(None, requests.get, 'http://www.reddit.com')
quora_response = await quora_future
reddit_response = await redd... | tools4origins/py-simple-async | example.py | example.py | py | 607 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "async_helper.Async.run_in_executor",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "async_helper.Async",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "... |
11500406635 | import argparse
import os
import sys
import kernelci
from kernelci import print_color, shell_cmd
def add_date_commit(path, msg, fname):
with open(os.path.join(path, fname), 'w') as f:
f.write(msg)
shell_cmd("""
cd {path}
git add {fname}
git commit --author='"kernelci.org bot" <bot@kernelci.org>' -am ... | kernelci/kernelci-deploy | kernel.py | kernel.py | py | 3,063 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "kernelci.shell_cmd",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
20898053521 | #!/usr/bin/python
#coding=utf8
import sys
import configparser, hashlib, urllib, json
def getBTCTicker():
response = urllib.request.urlopen('https://www.okcoin.com/api/ticker.do')
#print(response.status)
data = response.read().decode('utf-8')
jsondata = json.loads(data)
return jsondata
def getLTCT... | septem776/OKCAuto | OKCAuto/okc.py | okc.py | py | 7,812 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib.request.ur... |
23618899668 | import yfinance as yf
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from statsmodels.tsa.stattools import adfuller
from arch.unitroot import PhillipsPerron
from statsmodels.regression.linear_model import OLS
import statsmodels.api as sm
acoes = ["PETR4.SA", "TIMS3.SA"]
start = "2023-01-01"
en... | stefaniomarques/masterderivativos | pairsTradingtest.py | pairsTradingtest.py | py | 2,021 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "yfinance.download",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "arch.unitroot.PhillipsPerron",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "arch.unitroot.PhillipsPerron",
"line_number": 33,
"usage_type": "call"
},
{
"api_n... |
27226109046 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import json
import copy
# replace path below with a path to aaa_dgalPy
sys.path.append('/Users/Mumtaz/Downloads/Carbon-Footprint-DGS')
sys.path.append(r'/lib')
import lib.dgalPy as dgal
import utilization_points
dgal.startDebug()
def optimizeUtilit... | nikitapatil3/CarbonFootPrintDecisionGuidanceSystem | solution/optPointsUsage.py | optPointsUsage.py | py | 920 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_numbe... |
32978854273 | from rest_framework import generics, status
from rest_framework.response import Response
from rest_framework.permissions import IsAuthenticated
from booking_manager_api.serializers import BookingScheduleSerializer
from intel_api.serializers.accounts_serializers import IntelUserProfileRequestSerializer
from intel_api.m... | mutemip/testing-project | booking_manager_api/views/booking_schedule.py | booking_schedule.py | py | 9,615 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "intel_api.views.authentication.GetRequestAuthenticationBase",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "rest_framework.views.APIView",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "booking_manager_api.serializers.BookingScheduleSerialize... |
3176814951 | import os
import sys
import random
import math
import re
import time
import numpy as np
import tensorflow as tf
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from tqdm import tqdm
# Root directory of the project
ROOT_DIR = os.path.abspath("../../")
# Import Mask RCNN
sys.path.... | IceTharu/masters_thesis | code_thinlinc/inference.py | inference.py | py | 4,062 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.abspath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_num... |
2253703796 | import logging
import os
import re
import sys
import xml
import csv
import subprocess
import nltk
sys.path.append("lib")
import pymongo
from BeautifulSoup import BeautifulSoup
logging.basicConfig(level=logging.DEBUG, format="%(levelname)-8s %(message)s")
mongo_conn = pymongo.Connection('localhost', 27017)
db = mong... | typecode/wikileaks | process.py | process.py | py | 4,334 | python | en | code | 19 | github-code | 18 | [
{
"api_name": "sys.path.append",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
... |
30492320588 | from PyQt6 import QtCore, QtGui, QtWidgets
progress_bar_style = """
QSlider::groove:horizontal {
background: rgba(0, 0, 0, 0);
height: 10px;
border-radius: 5px;
}
QSlider::sub-page:horizontal {
background: qlineargradient(spread:pad, x1:0.463054, y1:0.0965909, x2:0.487685, y2:0.813, stop:0 rgba(40, 113, 250, 150), st... | NearlyQ/my_apps | music-player/design.py | design.py | py | 12,756 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "PyQt6.QtWidgets.QWidget",
"line_number": 129,
"usage_type": "call"
},
{
"api_name": "PyQt6.QtWidgets",
"line_number": 129,
"usage_type": "name"
},
{
"api_name": "PyQt6.QtWidgets.QLabel",
"line_number": 131,
"usage_type": "call"
},
{
"api_name": "PyQ... |
3351942194 | from flask import Flask, render_template, request, send_file
import openpyxl
app = Flask(__name__, static_folder='static', static_url_path='')
#main loading code
@app.route('/')
def entering():
kosha_listdata = open('x.txt', 'r', encoding='utf-8')
koshalist = kosha_listdata.readlines()
guideList = []
... | selectadjust/pehelper | app.py | app.py | py | 6,112 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "flask.requ... |
27337093071 | # Author: Mainak Jas <mainak.jas@telecom-paristech.fr>
# Mikolaj Magnuski <mmagnuski@swps.edu.pl>
# Stefan Appelhoff <stefan.appelhoff@mailbox.org>
#
# License: BSD (3-clause)
from copy import deepcopy
from distutils.version import LooseVersion
import os.path as op
import shutil
from unittest import Sk... | soheilbr82/BluegrassWorkingMemory | Python_Engine/Lib/site-packages/mne/io/eeglab/tests/test_eeglab.py | test_eeglab.py | py | 16,525 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "mne.datasets.testing.data_path",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "mne.datasets.test... |
2335985681 | # Pull in our config.
try:
from afqueue import queue_config as config
except:
from afqueue.config_files import queue_config_base as config
# Parse our arguments.
import argparse, sys
parser = argparse.ArgumentParser()
parser.add_argument("--remote_ip", required=False)
parser.add_argument("--remote_ip_interface... | appfirst/distributed_queue_manager | afqueue/queue_manager.py | queue_manager.py | py | 6,795 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "afqueue.config_files.queue_config_base.manager_default_port",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "afqueue.config_files.queue_config_base",
"line_number... |
10054609638 | from __future__ import print_function
from datetime import datetime
from flask_restplus import Namespace
from pymongo import MongoClient
import os
import sys
import timeit
import json
import re
# download geo_group dictionary
import urllib.request
from sys import argv
import argparse
file_path = argv[1]
location... | LucaCilibrasi/VariantHunter | backend/apis/create_database.py | create_database.py | py | 25,256 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "sys.argv",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "sys.argv",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "flask_restplus.Namespace",
"line_numbe... |
6285013116 | from flask import Flask, render_template, request, make_response, redirect, url_for
from flask import jsonify
from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy.sql import text
import re
# Mine
from controllers import *
f... | fdanmon/bd2-lab-demo | app/app.py | app.py | py | 9,694 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "re.compile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sq... |
11954785294 | from itertools import combinations
import math
def solution(n):
answer = 0
s = [True] * n
for i in range(2,int(math.sqrt(n)+1)):
if s[i]:
for j in range(i+i,n,i):
s[j] = False
prime = [i for i in range(2,n) if s[i]]
result = list(combinations(prime,3))
for r i... | wheejoo/Programmers_code_study | 03 탐색/Lv1_세 소수의 합.py | Lv1_세 소수의 합.py | py | 396 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "math.sqrt",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "itertools.combinations",
"line_number": 11,
"usage_type": "call"
}
] |
2318530102 | from fastapi import APIRouter
from src.recommend.service import getMovieByNameService, getMoviesByActorsService
router = APIRouter()
@router.get("/")
async def root():
return {"message": "Get all recommendations"}
@router.get("/byMovie/")
async def getMovieByName(name: str):
try:
result = await getM... | sbiswas2209/recommendation-engine | src/recommend/controller.py | controller.py | py | 722 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "fastapi.APIRouter",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "src.recommend.service.getMovieByNameService",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "src.recommend.service.getMoviesByActorsService",
"line_number": 22,
"usage_t... |
26944807599 | import sys
from collections import deque
input = sys.stdin.readline
def bfs(x,y):
visited = [[0] * w for _ in range(l)]
queue = deque([(x,y)])
visited[x][y] = 1
cnt = 0
while queue:
x, y = queue.popleft()
for i in range(4):
nx = x + dx[i]
ny = y ... | SeBin-Kwon/TIL | 백준/Gold/2589. 보물섬/보물섬.py | 보물섬.py | py | 890 | python | en | code | 6 | github-code | 18 | [
{
"api_name": "sys.stdin",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
7808344146 | import torch
import torch.nn as nn
class TactileNet(nn.Module):
def __init__(self, in_dim, out_dim):
super(TactileNet, self).__init__()
self.input_size = in_dim
self.output_size = out_dim
self.n_filters = 512
self.lstm_layer = nn.LSTM(input_size=in_dim, hidden_size=in_dim,... | kracon7/Multi-Step-Recurrent-Q-Learning-for-Robotic-Velcro-Peeling | networks/tactile_net.py | tactile_net.py | py | 1,134 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "torch.nn.LSTM",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number... |
27370941259 | import distutils.util
import os
import subprocess
if subprocess.run('nvidia-smi').returncode:
raise RuntimeError(
'Cannot communicate with GPU. '
'Make sure you are using a GPU Colab runtime. '
'Go to the Runtime menu and select Choose runtime type.')
import mujoco
import time
import itertools
imp... | myiKim/RL_studynote | mujocoGym/mujoco_example.py | mujoco_example.py | py | 5,195 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "subprocess.run",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.set_printoptions",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "mediapy.VideoWriter",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "mediapy.Vide... |
70921928041 | from collections import defaultdict
d = defaultdict(list)
d['a'].append(1)
d['a'].append(2)
d['a'].append(4)
print(d)
d = defaultdict(set)
d['a'].add(1)
d['a'].add(2)
d['b'].add(4)
print(d)
# 注意, py的dict如果key不存在直接append会有异常抛出 | chonlon/Small-Test-Projects | python/cookbook/1.6.2.py | 1.6.2.py | py | 262 | python | zh | code | 3 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 10,
"usage_type": "call"
}
] |
11684642046 | import distro, math, numpy
from scipy.optimize import fsolve
from scipy.stats import tukeylambda
def _solver(stats):
(lo, hi, q1, q3, sig2) = distro.extractStats(stats, [distro.Stat.Min,distro.Stat.Max, Distro.Stat.Q1, Distro.Stat.Q3, distro.Stat.Sig2])
if abs((q3-q1)/(hi-lo)-0.5)<.05:
#lamb>=1
... | jscheiny/oepd | src/tukey_lambda.py | tukey_lambda.py | py | 1,272 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "distro.extractStats",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "distro.Stat",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "scipy.stats.tukeylambda.stats",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scipy... |
11311555351 | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 21 14:43:04 2022
"""
import numpy as np
import matplotlib.pyplot as plt
import plot_config
from scipy.optimize import curve_fit
import os
datadir = os.path.join(plot_config.data_root_dir, 'cavity_cooling')
SAVE_FIGURE = False
colors = plt.get_cmap('tab10')
# cooling fr... | v-sivak/tf_quantum_simulator | plot_paper_figures/cavity_cooling.py | cavity_cooling.py | py | 1,334 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "plot_config.data_root_dir",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.p... |
19500975042 | from typing import Dict
from fsm_components.fsm_component import Edge
class MooreEdge(Edge):
def __init__(self, obj: any):
super().__init__(obj)
# if obj does not have key 'input', throw error
if 'inputs' not in obj:
raise Exception("Moore edge does not have inputs")
... | Arash1381-y/fsm-to-verilog | fsm_components/moore/moore_edge.py | moore_edge.py | py | 364 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "fsm_components.fsm_component.Edge",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 13,
"usage_type": "name"
}
] |
18162705423 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created 7 Feb 2018
@author: elonbrange
"""
#Linear Discriminative Analysis (LDA, Fisher's discriminant analysis)
# Binary class discriminant
#Importing packages
import numpy as np
import matplotlib.pyplot as plt
from numpy import linalg
#Importing dataset
data0 = n... | ElonB/HW-Labs | LDA/LDA.py | LDA.py | py | 4,257 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.genfromtxt",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.genfromtxt",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.transpose",
"... |
72646925160 | #!/usr/bin/python3 -u
# -*- coding: utf-8 -*-
__author__ = "Blurgy";
import os
import numpy as np
import data
import nn_utils as nn
import time
import plot
import click
import warnings
warnings.filterwarnings('ignore', r'.*output shape of zoom.*')
warnings.filterwarnings('error', r'.*divide by zero.*')
@clic... | blurgyy/kaggle | mnist/nn/conv/train.py | train.py | py | 3,419 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "nn_utils.decay_schedule",
"line_number": 33,
"usage_type": "call"
},
{
"api_name"... |
25465426036 | from copy import deepcopy
from functools import partial
from typing import Callable, Union
import hypothesis.extra.numpy as hnp
import hypothesis.strategies as st
import numpy as np
import pytest
from hypothesis import assume, given, infer, note, settings
from numpy.testing import assert_array_equal
import mygrad as ... | rsokl/MyGrad | tests/test_tensor_creation.py | test_tensor_creation.py | py | 12,884 | python | en | code | 181 | github-code | 18 | [
{
"api_name": "mygrad.Tensor",
"line_number": 38,
"usage_type": "argument"
},
{
"api_name": "numpy.testing.assert_array_equal",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "mygrad.operation_base._NoValue",
"line_number": 45,
"usage_type": "name"
},
{
... |
37512203605 | import os, sys, re
import itertools
import pickle as pkl
import nltk
from nltk.translate.bleu_score import SmoothingFunction
ngram = 2
with open('text_for_comparison_with_dumb.pkl', 'rb') as f:
text_data = pkl.load(f)
models = ['original_text', 'caption_text', 'bert_text', 'bert_adv_text', 'bert_kw_adv_text', 'gpt... | claws-lab/multimodal-robustness | evaluation/self_bleu.py | self_bleu.py | py | 1,691 | python | en | code | 10 | github-code | 18 | [
{
"api_name": "pickle.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "nltk.translate.bleu_score.sentence_bleu",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "nltk.translate",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name"... |
4493639969 | ####################
import os
# Obtain bot token from Discord Developer Site
import discord
from discord import Embed, TextChannel
from discord.ext import commands, tasks
from discord.ext.commands import Context
from datetime import datetime
import requests
# PostgreSQL file
import tables
from tables im... | 48nes/leetbot | bot.py | bot.py | py | 15,436 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "os.getenv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "discord.Intents.default",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "discord.Intents",
"li... |
38635639233 | """
CCC Team 42, Melbourne
Thuy Ngoc Ha - 963370
Lan Zhou - 824371
Zijian Wang - 950618
Ivan Chee - 736901
Duer Wang - 824325
"""
"""
A python file used for making predictions on tweeters that lack food information or homeless
information.
Using random forest classification model for predicting food.
Using ran... | eyeonechi/australian-social-media-analysis | analytics/rf_model.py | rf_model.py | py | 16,020 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "httplib2.Http",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "couch.Couch",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": ... |
11178287275 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import datetime
from django.utils.timezone import utc
class Migration(migrations.Migration):
dependencies = [
('organizer', '0001_initial'),
]
operations = [
migrations.CreateModel(
... | IvanCherepov/Organizer | mysite/organizer/migrations/0002_auto_20151028_0548.py | 0002_auto_20151028_0548.py | py | 2,172 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.CreateModel",
"line_number": 16,
"usage_type": "call"
},
... |
23034335942 | from flask import Flask, flash, request, jsonify, render_template, redirect, url_for, g, session, send_from_directory, abort
from flask_cors import CORS
from flask_api import status
from datetime import date, datetime, timedelta
from calendar import monthrange
from dateutil.parser import parse
import pytz
import os
imp... | JunMA1997/CSYE7220_MidTerm | server/main.py | main.py | py | 3,149 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.exists",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_numb... |
5125009789 | import sys
import torch
import torch.nn as nn
import torch.optim as optim
import util
from util import stderr_print
from confusion_matrix import ConfusionMatrix
from timer import Timer, timestamp
class CustomDropout(nn.Module):
def __init__(self, unk_value=2, p=0.5):
super(CustomDropout, self).__init__(... | byewokko/blanks-tagger | train.py | train.py | py | 9,252 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.Module",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"li... |
31533729878 | """
Point of this script is to submit a ton of batch jobs for the healpixels.
After all, why use only one computer when you have several thousand at your
fingertips?
Note that you should first run with --test command, which will run one healpix
iteration after making the dataset. This lets you determine the amount of
... | paulinevielzeuf/wizard | examples/refREDMAPPERSV_unkIM3SHAPE/batch_paircounts.py | batch_paircounts.py | py | 8,803 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "wizard.read_config",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "subprocess.check_output",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "wi... |
3304703106 | __author__ = 'dkoldyaev'
import os
from django import template
from django.template.defaultfilters import stringfilter
from PIL import Image
from basis.templatetags.image_helper import ImageHelper
register = template.Library()
@register.filter(name='news_image_fit')
@stringfilter
def news_image_fit(image_path):
... | dkoldyaev/basis.ru | news/templatetags/news_images.py | news_images.py | py | 1,426 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.template.Library",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.MEDIA_URL",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_n... |
28335228326 | """
This code validates the performance of ResNet after L-OBS prunning
"""
import torch
import torch.backends.cudnn as cudnn
import torchvision.datasets as datasets
import torchvision.transforms as transforms
from models.resnet import resnet18
from utils import validate, adjust_mean_var
import numpy as np
import ... | csyhhu/L-OBS | PyTorch/ImageNet/validate-ResNet.py | validate-ResNet.py | py | 3,446 | python | en | code | 71 | github-code | 18 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
12897240314 | import os
import numpy as np
np.random.seed(7)
import matplotlib.pyplot as plt
from tslearn.clustering import TimeSeriesKMeans
filepath = '../Demo/ECEMasterProject/models/KM/KM1.h5'
km=TimeSeriesKMeans.from_hdf5(filepath)
n = 96
data = np.random.uniform(low = -6, high= 3, size=(n,1))
data_class = km.predict(data)... | Natemen96/ECEMasterProject | RL/gen_data_helper/_gen_solarhousingdata.py | _gen_solarhousingdata.py | py | 744 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "numpy.random.seed",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "tslearn.clustering.TimeSeriesKMeans.from_hdf5",
"line_number": 11,
"usage_type": "call"
},
{
"a... |
14951523381 | import enum as _enum
import typing as _typing
from SystemTestSpy import (
_getLib,
)
# Imported for type information
from NotepadLib import NotepadLib as _NotepadLib
from ChromeLib import ChromeLib as _ChromeLib
from AssertsLib import AssertsLib as _AssertsLib
import NvdaLib as _NvdaLib
from robot.libraries.BuiltIn ... | nvaccess/nvda | tests/system/robot/symbolPronunciationTests.py | symbolPronunciationTests.py | py | 22,865 | python | en | code | 1,802 | github-code | 18 | [
{
"api_name": "robot.libraries.BuiltIn.BuiltIn",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "NotepadLib.NotepadLib",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "SystemTestSpy._getLib",
"line_number": 16,
"usage_type": "call"
},
{
"api_n... |
34986473910 | from django.shortcuts import render
from django.http.response import JsonResponse
from .models import Order,Product,Order_Product,WaterUser
import json
# Create your views here.
def order_list(request):
if request.method == 'POST':
json_str = ((request.body).decode('utf-8'))
submitdata = json.loads(json_str)
... | xiaomazaitu/xinyuanshuiba | water/views.py | views.py | py | 3,490 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.WaterUser.objects.get",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.WaterUser.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": ... |
73973890281 | import time
import requests
import pickle
import yaml
import mysql.connector
from condition import Condition
from notification_method import NOTIFICATION_METHOD
from condition_model import Condition_model
from user_model import User_model
# marketdata_host = '127.0.0.1'
marketdata_host = 'sig-gen-api-balancer-10853491... | benWindsorCode/signalGenerator | signal_generator/condition/poller.py | poller.py | py | 5,244 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "yaml.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "yaml.FullLoader",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "condition.Condition",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "requests.get",
... |
36559136676 | #ND1 Algorithm is very simple
#Pick a node choose two neighbours of that node at random and add an edge between them
#If the node has only one neighbour add a edge to another random node
#With probability p remove all edges from a randomly selected node (delete it)
#Add a new node with a single edge to a rando... | JohnC3/merge-model | ND1 and ND2.py | ND1 and ND2.py | py | 3,244 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.sample",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "networkx.neighbors",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "random.sample",
"l... |
7387141083 | from __future__ import print_function, division
import pickle
import torch
import torch.nn as nn
from maskrcnn_benchmark.layers import ROIAlign
import torch.nn.functional as F
import torchvision.models as models
from torch.nn.utils import weight_norm
from utils import obj_edge_vectors,layer_init,get_box_info,get_box_pa... | jqiuqiu/NEGR | model.py | model.py | py | 18,724 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.nn.utils.weight_norm",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "torch.nn.Lin... |
38032403867 | ## Here is the ftp+plot.py code from Lecutre 0
import numpy as np
from matplotlib import pyplot as plt
ftp = np.loadtxt('ftpcol.txt', dtype=int)
print(ftp[0,0])
print(ftp[1,0])
print(ftp[:,0])
print(ftp[:,1])
time_s = ftp[:,0]
speed_mph = ftp[:,1]
plt.plot(time_s,speed_mph)
plt.xlabel("Time (sec)")
plt.ylabel("Speed ... | WMU-Electric-Vehicles-Class/Team1-AC-DCs | ftp_plot.py | ftp_plot.py | py | 650 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.loadtxt",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "matplotlib.pypl... |
4431433643 | from django.contrib import admin
from .models import Packages, CustomPackage
@admin.register(Packages)
class PackagesAdmin(admin.ModelAdmin):
list_display = ('package_name', 'equipment',
'duration', 'sensory_items_included',
'sensory_items_type', 'image_url',
... | davidcalikes/sensical.ie | packages/admin.py | admin.py | py | 829 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "django.contrib.admin.ModelAdmin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "django.contrib.admin.register",
"line_number": 5,
"usage_type": "call"
},
{
... |
2408376175 | '''
신라대학교 202395016 컴퓨터공학부 박수연
'''
import matplotlib.pyplot as plt # as 뒤에 이름은 별명, 내가 쓰고자 할 이름을 간략하게 적음
years = [1950, 1960, 1970, 1980, 1990, 2000, 2010]
gdp = [67.0, 87.0, 257.0, 1686.0, 6505, 11865.3, 22103.3] # 국민소득
plt.plot(years, gdp, color='green', marker='o', linestyle='solid')
plt.t... | Susucorn/SW_review | 0925/03_시각화.PY | 03_시각화.PY | py | 599 | python | ko | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matp... |
12735907661 | from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.naive_bayes import MultinomialNB
from sklearn import metrics
from . import Benchmark
categories = [
'alt.atheism', 'talk.religion.misc',
'comp.graphics', 'sci.space'
]
newsgroups_train = f... | GabrielMajeri/adaptive-profiler | benchmark/ml.py | ml.py | py | 1,917 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sklearn.datasets.fetch_20newsgroups",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.datasets.fetch_20newsgroups",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sklearn.feature_extraction.text.TfidfVectorizer",
"line_number": 18,
... |
10464202566 | from django.shortcuts import render
# import onnx, onnxruntime, pathlib, json
# from keras.preprocessing import image
# import numpy as np
from .forms import Form
def index(request):
if request.method == 'POST':
form = Form(request.POST, request.FILES)
if form.is_valid():
form.save()
... | solokhovir/DeepLearning_DZ1 | web/views.py | views.py | py | 529 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "forms.Form",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "forms.Form",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render... |
42693367042 | import pygame
import random
# Initialize Pygame
pygame.init()
# Set up the display
SCREEN_WIDTH = 800
SCREEN_HEIGHT = 600
screen = pygame.display.set_mode((SCREEN_WIDTH, SCREEN_HEIGHT))
pygame.display.set_caption("Snake Game")
# Set up the colors
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
GREEN = (0, 255, 0)
# Set u... | Bilalkhan1071/MainRepo | snakeGame.py | snakeGame.py | py | 4,190 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
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