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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3734279867 | from __future__ import annotations
from dataclasses import dataclass
from typing import Any
import docker
@dataclass
class PythonCommand:
"""Represents a python command.
Parameters
----------
script : name
Python script to invocate.
args : dict
Python scripts arguments.
na... | anyForecast/anyforecast | anyforecast/deployments/docker_utils.py | docker_utils.py | py | 4,577 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dataclasses.dataclass",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "docker.from_env",
"line_number": 85,
"usage_type": "call"
},
{
"api_name": "docker.models",
"line_number": 87,
"usage_type": "attribute"
},
{
"api_name": "typing.Any",
... |
1396699454 | from datetime import datetime, timedelta
def add_working_days(start_date: datetime, n_days: int) -> datetime:
"""Calculate date in `n_days` working days
Function to calculate the date in n working days, excluding weekends
Parameters
----------
start_date : datetime
date to add days to
... | UMCU-Digital-Health/No_Show | src/noshow/preprocessing/utils.py | utils.py | py | 638 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "datetime.datetime",
"line_number": 4,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 23,
"usage_type": "call"
}
] |
73607918439 | import sys
from PyQt5.QtWidgets import (QApplication, QWidget,
QHBoxLayout, QVBoxLayout, QFrame, QFormLayout,
QPushButton, QTabWidget, QGroupBox,
QLineEdit, QTextEdit, QLabel, QScrollArea,
QInputDialog, ... | clolsonus/madesigner | madesigner/madgui/sheet_ui.py | sheet_ui.py | py | 5,247 | python | en | code | 18 | github-code | 18 | [
{
"api_name": "PyQt5.QtWidgets.QFrame",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QVBoxLayout",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidgets.QFrame",
"line_number": 52,
"usage_type": "call"
},
{
"api_nam... |
17592568164 | import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objs as go
import pandas as pd
app = dash.Dash()
df = pd.read_csv(
'log.csv', header=None)
rows_global=len(df);
#available_indicators = df['Indicator Name'].unique()
app.layout = html.Div([
dcc.Dropdo... | gaurav-bansal/spartan | app.py | app.py | py | 1,697 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dash.Dash",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "dash_html_components.Div",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dash_core_components... |
25354366621 | from __future__ import print_function
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.optim.lr_scheduler import StepLR
import numpy as np
import os
import cv2
#from utils import preprocess,load_dataset
from torch.utils.data import TensorDataset, ... | burrussmp/Dermatoscopic-Image-Classifier | src/test.py | test.py | py | 5,944 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "sklearn.metrics.confusion_matrix",
"line_number": 26,
"usage_type": "call"
},
{
"api_n... |
4493653419 | import os
import psycopg2 as sql
from psycopg2 import OperationalError
DATABASE_URL = os.environ['DATABASE_URL']
'''
Executes the SQL query on the database connected to the connection object.
:type connection: Connection
:type query_db: String
:return: void
'''
def query(connection, query_db):
connec... | 48nes/leetbot | tables.py | tables.py | py | 5,879 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "os.environ",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "psycopg2.OperationalError",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "psycopg2.connect",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "psycopg2.co... |
73889081001 | from .config import *
import pymysql
import urllib.request
import pandas as pd
import shutil
import osmnx as ox
from . import assess
import math
# This file accesses the data
# Cache for postcodes
global POSTCODE_POSITIONS
POSTCODE_POSITIONS = None
#Builds the DB
#Takes a set of credentials + database details
# :p... | runezor/fynesse_ads_assignment | fynesse/access.py | access.py | py | 9,146 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.DataFrame",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "pymysql.connect",
"line_number": 84,
"usage_type": "call"
},
{
"api_name": "urllib.request.request.urlretrieve",
"line_number": 112,
"usage_type": "call"
},
{
"api_name": "... |
32002769042 | import pytest
import time
from algo.tris import tri_selection, tri_insertion, tri_bulle, tri_fusion
liste_fonctions = [tri_bulle, tri_fusion] # tri_selection, tri_insertion
def grandes_listes():
import random
aleatoire = [random.randint(1, 2000) for _ in range(5000)]
tri_fait = aleatoire.copy()
tri... | efloti/plc_nsi_algo | tests/test_tris.py | test_tris.py | py | 1,016 | python | fr | code | 1 | github-code | 18 | [
{
"api_name": "algo.tris.tri_bulle",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "algo.tris.tri_fusion",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "random.randint",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "time.time",
... |
8663390139 | from selenium import webdriver
from selenium.webdriver.common.by import By
import time
class FindElements:
def find_elements_to_interact(self):
baseurl = "https://letskodeit.teachable.com"
driver = webdriver.Firefox()
driver.maximize_window()
driver.get(baseurl)
driver.imp... | Sreenuraj/Selenium | basics/working_with_elements.py | working_with_elements.py | py | 962 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.common.by.By.XPATH",
"line_number": 18,
"usage_type": "attribute"
},
... |
14334959330 | import utils
import numpy as np
from scipy import integrate
import torch
import matplotlib.pyplot as plt
import os
current_file = os.path.abspath(__file__)
folder_pa = os.path.dirname(current_file)
folder_path = f"{folder_pa}/"
confi = [1e-03, 3, 20, "tanh", "Glorot normal", 1, 1, 100]
a = utils.create_system(confi)
... | gcappellini/pinns_bioheat | CDC23/replicating_CDC/run.py | run.py | py | 1,450 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.path.abspath",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
9201885191 | from django.shortcuts import render, redirect
from django.http import HttpResponse
from .models import Planner
from .forms import PlannerForm
from django.views import generic
from django.shortcuts import redirect
from .forms import UserRegisterForm
from django.contrib.auth.forms import UserCreationForm
from django.cont... | matthewcao/final_schedule | schedule_app/views.py | views.py | py | 2,550 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.shortcuts.redirect",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.Planner.objects.all",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "models.Planner.objects",
"line_number": 20,
"usage_type": "attribute"
},
{
"... |
23810575693 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils.rnn import pad_packed_sequence, pack_padded_sequence
# from Model.model import CharRNN
from Utils.utils.metric_reward import MetricsReward
import torch.nn.utils.rnn as rnn_utils
class CharRNN(nn.Module):
def __init__(self, voc... | ggkong/tfCompared | Model/organ_model.py | organ_model.py | py | 10,297 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
13979459695 | import re
import argparse
__all__ = ['parse_cmd_args', 'parse_dict_args']
def create_parser():
parser = argparse.ArgumentParser(description='PyTorch ImageNet Training')
# Technical details
parser.add_argument('-j', '--workers', default=4, type=int, metavar='N',
help='n... | iBelieveCJM/pseudo_label-pytorch | util/Config.py | Config.py | py | 4,540 | python | en | code | 318 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 83,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentTypeError",
"line_number": 102,
"usage_type": "call"
}
] |
30061299028 | import argparse
import sys
def main():
#Making a argparse object
parser = argparse.ArgumentParser()
#Taking inputs of variables through the CLI
parser.add_argument('--x', type=float, default=1.0,
help='What is the first number?')
parser.add_argument('--y', type=floa... | SunnyVikasMalviya/Python | Intermediate Python/Argparse_For_CLI.py | Argparse_For_CLI.py | py | 1,394 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.stdout.write",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 17,
"usage_type": "attribute"
}
] |
1650070653 | """
This module holds tests for error messages and stacktraces
Created on Oct 18, 2013
@author: pupssman
"""
from hamcrest import has_property, assert_that, has_properties, has_string
from hamcrest.library.text.stringcontainsinorder import string_contains_in_order
def has_error(message='', trace=''):
return ha... | elhe/allure-python | tests/test_traces.py | test_traces.py | py | 3,579 | python | en | code | null | github-code | 18 | [
{
"api_name": "hamcrest.has_property",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "hamcrest.has_property",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "hamcrest.has_property",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "ham... |
41316366799 | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import pandas as pd
import numpy as np
from pandas import DataFrame
get_ipython().run_line_magic('matplotlib', 'inline')
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn import preprocessing
import math
from sklearn.model_selection import train_test_s... | Sriram1437/Employee-Attrition-prediction | Attrition Prediction Project (HCL).py | Attrition Prediction Project (HCL).py | py | 4,529 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 26,
"usage_type": "name"
},
{
"api_name... |
39446961970 | # -*- coding: utf-8 -*-
"""
Created on Sat Aug 22 12:07:01 2020
@author: Hui Z
"""
from nltk.cluster.util import cosine_distance
import numpy as np
import networkx as nx
import math
def get_doc(nlp, file_name, encoding_='utf-8'):
return nlp(open(file_name, 'r', encoding=encoding_).read())
def get_sentences(doc)... | arkzgd/docsummary | doc_analyze.py | doc_analyze.py | py | 3,781 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.zeros",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "numpy.mean",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_numbe... |
10371798299 | import json
import spacy
from spacy_download import load_spacy
#before running :
# python -m spacy download en_core_web_trf
#following https://towardsdatascience.com/building-sentiment-classifier-using-spacy-3-0-transformers-c744bfc767b
#to train:
# python -m spacy train config.cfg --output ./data/units/unit_models/tr... | vivkaz/CQE | CQE/unit_classifier/train_classifier_bert.py | train_classifier_bert.py | py | 7,063 | python | en | code | 16 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "spacy_download.load_spacy",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "spacy.tokens.DocBin"... |
16718866750 | import cv2
import imagehash
import xml.etree.ElementTree
import sys
from PIL import Image
from pathlib import Path
hashes = {}
class Extractor():
def __init__(self, root_path, video_file_path, images_dir, skipped_frames=1000, interactive=False):
self.video_file = str(video_file_path)
event_name... | sveatlo/detektilo | pkg/extractor.py | extractor.py | py | 2,356 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_FRAME_COUNT",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "cv2.CAP_P... |
34617483916 | import discord
from discord.ext import commands
from Models.Context import Context
class SameTimeAttackAddMemberCog(commands.Cog):
"""
同時凸するメンバーの追加
"""
def __init__(self, bot: commands.Bot):
self.bot = bot
@commands.command("dadd")
async def add_member(self, ctx: commands.context.Cont... | Teara-exe/clanBattleBot | Cogs/SameTimeAttackAddMemberCog.py | SameTimeAttackAddMemberCog.py | py | 673 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "discord.ext.commands.Bot",
"line_number": 10,
"usage_type": "attribute"
},
{
"ap... |
16093587181 | import time
import numpy as np
import tools
import warnings
from typing import Dict, List, Tuple
_BIG_NUMBER = int(1e9)
State = Dict[str, np.ndarray]
Action = List[List[int]]
Info = Dict[str, str]
class Environment:
def step(self, solution: Action) -> Tuple[State, int, bool, Info]:
raise NotImplemente... | ortec/euro-neurips-vrp-2022-quickstart | environment.py | environment.py | py | 15,664 | python | en | code | 78 | github-code | 18 | [
{
"api_name": "typing.Dict",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.ndarray",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "typing.List",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_nu... |
38181074791 | import sys
import os
from sklearn.naive_bayes import BernoulliNB
from sklearn.feature_extraction.text import CountVectorizer
from nltk.corpus import stopwords
import numpy as np
from sklearn.externals import joblib
from sklearn.base import clone
from sklearn.dummy import DummyClassifier
from scipy import sparse
sys.pa... | rdvoskin/msccs-t23 | classifier/Classify_with_evaluation.py | Classify_with_evaluation.py | py | 13,421 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.path.insert",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "sklearn.naive_bayes.BernoulliNB",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "os.list... |
71932053801 | #!/usr/bin/python3
import numpy as np
import sys
from astropy import units as u
from skyfield.api import load
from skyfield.api import Topos
class shadow_calc(object):
def __init__(self, observatory_name="LCO",
observatory_elevation=2380.0*u.m,
observatory_lat='29.0146S',
observatory_lon = '70.6926W',
... | sdss/lvmsurveysim | lvmsurveysim/utils/shadow_height_lib.py | shadow_height_lib.py | py | 17,016 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "astropy.units.m",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "astropy.units",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "skyfield.api.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"... |
2690632423 | #!/usr/bin/python
#-*- coding: utf-8 -*-
import sys
import time
import urllib
import urllib.parse
import requests
import numpy as np
import imp
from bs4 import BeautifulSoup
from openpyxl import Workbook
from urllib import request
from urllib import error
from fake_useragent import UserAgent
imp.reload(sys)
# Fake Us... | LQYClaude/spider-for-builders | spider.py | spider.py | py | 7,088 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "imp.reload",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "fake_useragent.UserAgent",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
... |
5749929245 | # version: 0.0.1
# import logging
import msvcrt
import os
from datetime import datetime, timedelta, time
import sys
from pydub import AudioSegment, effects
import shutil
def resource_path(relative_path):
try:
base_path = sys._MEIPASS
except Exception:
base_path = os.path.abspath(".")
re... | smolikja/voicetelling | voicetelling.py | voicetelling.py | py | 6,478 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys._MEIPASS",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"li... |
33395155990 | from typing import List
class Solution:
def threeSumClosest(self, nums: List[int], target: int) -> int:
n=len(nums)
nums.sort()
res=nums[0]+nums[1]+nums[2]
for i in range(n):
l,r=i+1,n-1
while(l<r):
sum=nums[i] + nums[l] + nums[r]
... | Marloweeee/LeetCodeCollection | 2022.04/4.09-16最接近的三数之和.py | 4.09-16最接近的三数之和.py | py | 697 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 4,
"usage_type": "name"
}
] |
8223082870 | from flask import render_template
from flask import request
from flask import Flask
from replit import db
import datetime
import time
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/history', methods=['GET', 'POST'])
def history():
if request.method == 'GET'... | wa1ker38552/internet | replit/main.py | main.py | py | 1,111 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "flask.req... |
28439898838 | import sys
from PyQt5.QtWidgets import QApplication, QMainWindow, QTreeView
from PyQt5.Qt import QStandardItemModel, QStandardItem
from PyQt5.QtGui import QFont, QColor
class StandardItem(QStandardItem):
def __init__(self, txt = "", fontSize = 12, setBold = False, color = QColor(0, 0, 0)):
super().__init__... | Hector290601/EDA2 | primerProyecto/qt/basics/treeWidget/third/main.py | main.py | py | 1,422 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "PyQt5.Qt.QStandardItem",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtGui.QColor",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtGui.QFont",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtWidg... |
14334588110 | import os
import deepxde as dde
from matplotlib import pyplot as plt
import numpy as np
import skopt
from skopt import gp_minimize
from skopt.plots import plot_convergence, plot_objective
from skopt.space import Real, Categorical, Integer
from skopt.utils import use_named_args
import pandas as pd
from openpyxl import l... | gcappellini/pinns_bioheat | 1d_no_source/utils.py | utils.py | py | 23,042 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "deepxde.backend",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "deepxde.backend",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "deepxde.backend",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "deepxd... |
34357845040 | import os
import sys
from io import BytesIO, IOBase
def main():
t = int(input())
for _ in range(t):
n = int(input())
A = list(map(int, input().rstrip().split()))
MaximumCandies = list(map(int, input().rstrip().split()))
distA = [0]
distB = [0]
for pos in range(n... | subho2107/Codechef | May lunchtime/Weird walk.py | Weird walk.py | py | 2,660 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "io.IOBase",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "io.BytesIO",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.read",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "os.fstat",
"line_number": 51,
"u... |
72139125800 | import numpy as np
import scipy.special as sps
def the_transform(x,Nt = 500,Np = 500):
N = x.shape[0] - 1
thetas = np.linspace(1e-10,np.pi,Nt)
phis = np.linspace(0,2*np.pi,Np)
# duplicate the signal
X = np.kron(x,np.ones((Np,Nt,1))).T
# maps of angles
Thetas, Phis = np.meshgr... | bpascal-fr/kravchuk-transform-and-its-zeros | include/kravchuk_transform.py | kravchuk_transform.py | py | 1,843 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "numpy.linspace",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.linspace",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number"... |
70026832999 | from flask import Response
from flask_restful import Resource
from html5lib import serialize
from models import LikePost, db
import json
from . import can_view_post
from my_decorators import post_id_is_integer_or_400_error, id_is_integer_or_400_error, test
import flask_jwt_extended
class PostLikesListEndpoint(Resource... | yvanchu/cs396-photo-app | views/post_likes.py | post_likes.py | py | 2,387 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask_restful.Resource",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "flask.Response",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "models.LikePost",
... |
3914770794 | from sql.select_tables.utils.data import DataManager
from nltk.util import ngrams
from typing import List
from tqdm import tqdm
from json import dump
from sql.select_tables.config import parse_args
def _ngram_process(s: str, n: List[int]) -> List[str]:
ngram = []
for x in n:
ngram = ngram +... | EvansongBBR/sgccTunnel2 | BART_SP-chinese/sql/select_tables/select_tables.py | select_tables.py | py | 4,817 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "nltk.util.ngrams",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "sql.select_tables.utils.data.... |
13825510990 | '''
Created on 25 Jan 2013
@author: Dave Wilson
'''
import wx
import enhanced_status_bar
FRAME_STYLE = (wx.FRAME_FLOAT_ON_PARENT | wx.SYSTEM_MENU | wx.CAPTION |
wx.CLOSE_BOX | wx.RESIZE_BORDER | wx.MAXIMIZE_BOX |
wx.CLIP_CHILDREN | wx.FRAME_NO_TASKBAR)
... | Yoriz/Utilities | src/wx_lib/frames.py | frames.py | py | 3,809 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "wx.FRAME_FLOAT_ON_PARENT",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "wx.SYSTEM_MENU",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "wx.CAPTION",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "wx.... |
24803390063 | import sys
from collections import deque
def bfs(i, j):
di = [1, 0, 0, -1]
dj = [0, 1, -1, 0]
visited = [[-1] * M for _ in range(N)]
queue = deque()
queue.append([i, j])
visited[i][j] = 0
result = []
while queue:
x, y = queue.popleft()
for d in range(4):
ni =... | hongjungkimm/python_practice | baekjoon/2178.py | 2178.py | py | 834 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "sys.stdin.readline... |
44065444488 | from torchvision import models
from torch import nn
from classBlock import ClassBlock
import torch
class resnet50(nn.Module):
def __init__(self, class_num, pretrained=False, model_name='resnet50'):
super(resnet50, self).__init__()
self.model_name = model_name
self.class_num = class_num
... | zhujiabao/face_attr | net/moudle.py | moudle.py | py | 1,386 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torchvision.models",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "torch.nn.AdaptiveA... |
28682757418 | from vosk import Model, KaldiRecognizer
import pyaudio
import socket
s = socket.socket()
print('socket created')
s.bind(('localhost',9999))
s.listen(2)
print('waiting for connections')
c,addr = s.accept()
print("Connected with",addr)
model = Model(r"C:\Users\samya\Documents\HALProject\Working_files\vosk-model-en-in-0... | samyakshingi/VRM | recog_sock.py | recog_sock.py | py | 760 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "socket.socket",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "vosk.Model",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "vosk.KaldiRecognizer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pyaudio.PyAudio",
"l... |
36922370066 | from django.shortcuts import render
from lxml import etree
import urllib.request
from BaseXClient import BaseXClient
import xmltodict
# Create your views here.
xml = etree.parse("app/xml_files/cursos.xml")
# create session
session = BaseXClient.Session('localhost', 1984, 'admin', 'admin')
def cursos2(request):
i... | pedralmeida22/EDC | aula3/ex1/app/views.py | views.py | py | 4,407 | python | pt | code | 0 | github-code | 18 | [
{
"api_name": "lxml.etree.parse",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "BaseXClient.BaseXClient.Session",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "BaseXClient... |
6810534371 | from PIL import Image
from os import listdir
from os import remove
def resizeImages(path, size=(255,255) ):
try:
for file in listdir(path):
target = path+'/'+file
print(f'[Resizing]\t {target}')
img = Image.open(target).convert('RGB')
img.resize(size, Image.... | CyberGoat9152/vouyer-scrapper | utils/resizeImages.py | resizeImages.py | py | 610 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "PIL.Image.Resampling",
"line_n... |
4961495530 | #coding:utf-8
from django.shortcuts import render
import subprocess
import os, sys
from django.views.generic.base import TemplateView
import dazhu
import tools.webTools as tools
from django.shortcuts import redirect
from multiprocessing.dummy import Pool as ThreadPool
class index(TemplateView):
template_name ... | Christings/dazhu | pan/views.py | views.py | py | 2,233 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.views.generic.base.TemplateView",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.views.generic.base.TemplateView.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.views.generic.base.TemplateView",
"line_number": 16,... |
37110140229 | # https://leetcode.com/problems/time-based-key-value-store/
from collections import defaultdict
#! failed test cases
class TimeMap1:
def __init__(self):
self.store = defaultdict(dict)
def set(self, key: str, value: str, timestamp: int) -> None:
self.store[key][timestamp] = value
def g... | carlosviniciusfernandes/code_problems | neetcode/binary_search/981_time_based_key_value_store.py | 981_time_based_key_value_store.py | py | 1,672 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "collections.defaultdict",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 46,
"usage_type": "call"
}
] |
14950294051 | # A part of NonVisual Desktop Access (NVDA)
# This file is covered by the GNU General Public License.
# See the file COPYING for more details.
# Copyright (C) 2022 NV Access Limited
from . import (
Role,
State,
)
from typing import (
Tuple,
Set,
)
def transformRoleStates(role: Role, states: Set[St... | nvaccess/nvda | source/controlTypes/roleAndStateSpecialCases.py | roleAndStateSpecialCases.py | py | 1,473 | python | en | code | 1,802 | github-code | 18 | [
{
"api_name": "typing.Set",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 16,
"usage_type": "name"
}
] |
10112735234 | import os
import subprocess
from pathlib import Path
from jinja2 import Environment, PackageLoader
from fika.templates.util import (
_create_dir,
_create_project_dir,
_get_model_type_kwarg,
)
class TemplateGenerator(object):
# Prepare environment and source data
env = Environment(
loade... | karthikraja95/fika | fika/templates/template_generator.py | template_generator.py | py | 1,777 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "jinja2.Environment",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "jinja2.PackageLoader",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "fika.templates.util._create_dir",
"line_number": 23,
"usage_type": "call"
},
{
"api_name"... |
8978701177 | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 14 16:35:22 2019
@author:
"""
import mne
from mne.time_frequency import psd_welch
import numpy as np
def ffff(fname, tmin, tmax, fmin, fmax, n_fft = 2048):
##ffff
return psds
psdsrrr = ffff(fname='')
#-----------------------------------------------------------... | brainwavesurf/Headcoils_data_analysis | spyder/psd/psd_base.py | psd_base.py | py | 3,945 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "mne.io.read_raw_fif",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "mne.io",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "mne.pick_types",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "mne.time_frequency.psd... |
37640053917 | #!/usr/bin/python3
from application import app, db
from application.models import Parent, Player, Add, AddPlayer, Delete, Update
from flask import Flask, render_template, request, redirect, url_for
from flask_wtf import FlaskForm
from wtforms import StringField, SubmitField
@app.route('/home', methods=['GET', 'POST'... | abusyd1/SFIAProject1 | application/routes.py | routes.py | py | 2,745 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "flask.request.method",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "flask.request",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "applica... |
34735203790 | import gzip
import json
import logging
import mimetypes
import re
import sys
import traceback
from enum import Enum
import extruct
import rdflib
import requests
import urllib
import ssl
from requests.packages.urllib3.exceptions import *
from tika import parser
from fuji_server.helper.preprocessor import Preprocessor
... | EOSC-synergy/fuji.sqaaas | fuji_server/helper/request_helper.py | request_helper.py | py | 13,680 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "enum.Enum",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "fuji_server.helper.preprocessor.Preprocessor.logger",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "fuji_server.helper.preprocessor.Preprocessor",
"line_number": 40,
"usa... |
7585168290 | import numpy as np
import gym
from common_files.utils import T
import matplotlib.pyplot as plt
from common_files.gym_to_gif import combine_gifs, label_with_episode_number, plot_from_saved_metrics
import seaborn as sns; sns.set()
import os
import imageio
import numpy as np
import json
np.seterr('raise')
AGENT = 'sac'... | pranav-deo/rl-algos | verify_code.py | verify_code.py | py | 2,307 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "seaborn.set",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.seterr",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "common_files.utils.T",
"line_... |
4445892469 | """
너무 복잡하게 푼 것 같다.
cnt를 처음에는 [0] * len(bridge_length)로 선언하여 풀려고 했는데,
index 확인이 어려워서 dependency가 아예 동일하게 q와 cnt를 둘다 deque()로 통일시켜 풀었다.
"""
from collections import deque
def solution(bridge_length, weight, truck_weights):
answer = 0
q = deque() # 다리를 건너는 트럭 queue
cnt = deque() # 다리 위에서 몇 초나 있었는지 확인하는 queu... | prography-6th-study/algorithm-code | seongwoo/2-다리를지나는트럭.py | 2-다리를지나는트럭.py | py | 1,036 | python | ko | code | 4 | github-code | 18 | [
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 13,
"usage_type": "call"
}
] |
38420159305 | import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
url = 'https://datahub.io/core/co2-ppm/r/co2-mm-mlo.csv'
url2='https://pkgstore.datahub.io/JohnSnowLabs/nasa-global-temperature-anomalies-time-series-1880-2017/nasa-global-temperature-anomalies-time-series-1880-2017-csv_csv/data/d0f07b1b1f0f66bd16e... | tonycheng555027/Global_Warming_Analysis | main.py | main.py | py | 3,841 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
3840333047 | import logging
import os
import torch
import wordninja
from PIL import Image
from torchvision import transforms
logging.basicConfig(format='%(asctime)s - %(levelname)s - %(name)s - %(message)s',
datefmt='%m/%d/%Y %H:%M:%S',
level=logging.INFO)
logger = logging.getLogger(__nam... | marvel2120/MsdBert | utils.py | utils.py | py | 8,125 | python | en | code | 14 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.join",... |
1036839252 | from time import sleep
from datetime import datetime
from sh import gphoto2 as gp
import signal, os, subprocess
import shutil
shot_date = datetime.now().strftime("%Y-%m-%d")
shot_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
triggerCommand = ["--capture-image-and-download"]
save_folder = "image-"+shot_date
def... | Swanpy/Raspi | imagecap.py | imagecap.py | py | 836 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "datetime.datetime.now",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.d... |
31288100429 | # -*- coding: utf-8 -*-
"""
Created on Fri Nov 12 15:46:47 2021
@author: naisf
"""
import datetime
import numpy as np
import matplotlib.gridspec as gridspec
import scipy.constants as cst
from matplotlib import pyplot as plt
from tqdm import tqdm
from astropy.time import Time... | Nfargette/Magnetic_reconnection | SOLO_reconnection.py | SOLO_reconnection.py | py | 13,149 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.lib",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot.close",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "numpy.loadtx... |
12824300971 | import os
import logging
import telegram
import openai
from flask import Flask, redirect, request, url_for
from dotenv import load_dotenv
load_dotenv()
# Initialize Flask app
app = Flask(__name__)
# Set environment variables
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
TELEGRAM_API_KEY = os.getenv("TELEGRAM_API_KEY... | Xamerzaev/rezumeGPT_bot | app.py | app.py | py | 2,002 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number"... |
25217069102 | # https://leetcode.com/problems/insertion-sort-list/
# tags: #linked_list, #sorting
#
# Solution: Sort by swapping nodes
# Using insertion sort we need to remove current from its original position and insert it at its correct position:
# * Update current.next to behind which is the position before which current needs t... | ronelzb/leetcode | linked_list/0147_insertion_sort_list.py | 0147_insertion_sort_list.py | py | 1,817 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "typing.Optional",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "sys.maxsize",
"line_number": 25,
"usage_type": "attribute"
}
] |
73199476201 | import sys
import random
from random import shuffle
from tqdm import tqdm
import os.path
import urllib
import urllib.error
import urllib.request
import imghdr
from ssl import CertificateError
from socket import timeout as TimeoutError
from socket import error as SocketError
import time
import pickle
import hashlib
impo... | fhvilshoj/torch_imagenet | download_imagenet_images.py | download_imagenet_images.py | py | 4,916 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "random.seed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "hashlib.md5",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "urllib.request",
"... |
1642387844 | # -*- coding: utf-8 -*-
import os
from pkg_resources import parse_version
import pkginfo
def _egg_info(path_to_egg='../../src/'):
path_to_egg = os.path.join(
os.path.dirname(__file__), path_to_egg)
egg_info = pkginfo.Develop(path_to_egg)
release = egg_info.version
version = '%s.%s' % tuple(m... | dinoboff/github-tools | docs/source/conf.py | conf.py | py | 1,065 | python | en | code | 88 | 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": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
20924571542 | import json
import logging
logging.basicConfig(filename='app.log', filemode='w', format='%(name)s - %(levelname)s - %(message)s')
def unpack_json(file):
try:
with open(file) as json_file:
data = json.load(json_file)
return data
except FileNotFoundError:
logging.error(f... | IlyaGrynyshyn/python-online-marathon | sprint 06 ( With (in, out). Serialization )/Task 2/Task 2.py | Task 2.py | py | 1,095 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "logging.basicConfig",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_numb... |
39233453903 | import cv2
import omni2
values = [25, 25, 0, 65, 65, 65, 0, 170]
thrower = 100
speed = 40
cv2.namedWindow("Controller")
while True:
k = cv2.waitKey(1) & 0xFF
if k == ord("w"):
print("Forward")
omni2.forward(values, speed)
if k == ord("s"):
print("Backward")
omni2.forward(... | lauriraudla/pOliver | manual.py | manual.py | py | 862 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cv2.namedWindow",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "omni2.forward",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "omni2.forward",
"line_nu... |
17955882085 | from bs4 import BeautifulSoup
import copy
import re
def getTabmeta(tabstr):#type是否引入加粗,等于1不加粗；way是否以#区分，1是不区分；method是百分号是否加前面的东西
"""
把带表格的html字符串，从中提取内容和描述信息，还原为list。
先以<tr>或<thead>字符串表行标识，拆分表格字符串，其中<thead>部分为表头部分。
以<td>字符串为标识，逐行找寻列数据，以</td>为标识，拆分列信息。
获取列的行合并，列合并属性。
获取列的文字属性，判断是否存在空格或tab。
完... | Dwyanepeng/test | py37/parse_tools/tabletool.py | tabletool.py | py | 16,481 | python | zh | code | 1 | github-code | 18 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 186,
"usage_type": "call"
},
{
"api_name": "re.findall",
"lin... |
42813378611 | import json
import pytest
from dbt.tests.util import run_dbt
ref_models__table_comment_sql = """
{{
config(
materialized = "table",
persist_docs = {"relation": true, "columns": true},
)
}}
select
'foo' as first_name,
'bar' as second_name
"""
ref_models__view_comment_sql = """
{{
config(
m... | bytehouse-cloud/bytehouse-dbt | tests/integration/adapter/test_comments.py | test_comments.py | py | 1,881 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "pytest.fixture",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "dbt.tests.util.run_dbt",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "dbt.tests.util.run_dbt",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "json.loa... |
27528222950 | from __future__ import print_function
from builtins import range
import numpy as np
import pandas as pd
import sys
import argparse
import os
from sklearn.datasets import load_boston
from sklearn.linear_model import LinearRegression, Ridge, Lasso, LogisticRegression
from sklearn.svm import SVR
from sklearn.ensemble i... | Kipok/clr_prediction | grid_search.py | grid_search.py | py | 6,637 | python | en | code | 15 | github-code | 18 | [
{
"api_name": "numpy.min",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_numb... |
7801183266 | import numpy as np
import matplotlib.pyplot as plt
from scipy.io import wavfile
def plot_fourier_spectrum(freq, spectrum, title):
plt.plot(freq, np.abs(spectrum))
plt.xlabel("Frequency (Hz)")
plt.ylabel("Magnitude")
plt.title(title)
# Load the WAV file
sample_rate, audio_data = wavfile.read("C:/Users/... | baiibhav/FourierDecomposition | FourierSeries.py | FourierSeries.py | py | 2,016 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "numpy.abs",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.xla... |
25221222460 | import requests
from html import unescape
from bs4 import BeautifulSoup
from tkinter import *
from tkinter import ttk
import os
def review_button():
tp = Toplevel()
tp.title("Flashcard_Studio/Sets")
tp.geometry("800x350")
global setnames
global setnamesStrVar
setnames = []
label2 = Label(... | Thom16911/Flashcard_Project | source.py | source.py | py | 4,333 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "os.listdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk.OptionMenu",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tkinter.ttk",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulSoup",
... |
4346308591 | import pandas as pd
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
# Charger les données dans un DataFrame Pandas
df = pd.read_csv('data/LDA_transformed_data.csv')
#Neural network
couches = 80
from sklearn.ne... | trebla-88/Geoscience | MPLLDA.py | MPLLDA.py | py | 1,507 | python | fr | code | 0 | github-code | 18 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sklearn.neural_network.MLPClassifier",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.neural_network.MLPClassifier",
"line_number": 16,
"usage_type": "call"
},
... |
73052148521 | """
code by Tae Hwan Jung(Jeff Jung) @graykode, Derek Miller @dmmiller612, modify by shwei
Reference: https://github.com/jadore801120/attention-is-all-you-need-pytorch
https://github.com/JayParks/transformer
"""
"""
代码位置：
手把手教你用Pytorch代码实现Transformer模型（超详细的代码解读）
https://ugirc.blog.csdn.net/article/details/1... | fry404006308/fry_course_materials | 220412-计算机视觉几分钟精通系列/课程资料/10-transformer/transformer代码/transformer代码.py | transformer代码.py | py | 22,799 | python | en | code | 444 | github-code | 18 | [
{
"api_name": "torch.LongTensor",
"line_number": 80,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 86,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data",
"line_number": 86,
"usage_type": "name"
},
{
"api_name": "torch... |
74246275560 | import os
from datetime import datetime
from pprint import pprint as pp
import numpy as np
import tensorflow as tf
from sklearn.model_selection import train_test_split
from common import *
from optparse import OptionParser
# LEARNING_RATE = 0.02
LEARNING_RATE = 0.1
DATASET_SIZE = 1000
EPOCHS = 1200
# Collection of d... | maciejsikora2302/PP_iga_pinn_nn | part2/ANN3_training.py | ANN3_training.py | py | 1,486 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "numpy.linspace",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 22... |
13380544549 | import os
import time
import sys
import traceback
import glob
import cv2
import numpy as np
import onnxruntime
def main(args):
classes = ['nsfw', 'sfw']
session = onnxruntime.InferenceSession(args.model_path, providers=['CUDAExecutionProvider'])
input_name = session.get_inputs()[0].name
output_name... | mxer/ImageClassificationTemplate | onnx_test.py | onnx_test.py | py | 2,627 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "onnxruntime.InferenceSession",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "time.time",
"li... |
32337609391 | import ase.io
import fire
from ai2_kit.core.log import get_logger
from ai2_kit import res
from ai2_kit.domain.cp2k import dump_coord_n_cell
from typing import Optional, Literal
from ase import Atoms, Atom
from string import Template
import re
import os
import json
logger = get_logger(__name__)
DEEPMD_DEFAULT_TEMPLA... | chenggroup/ai2-kit | ai2_kit/feat/catalysis.py | catalysis.py | py | 12,019 | python | en | code | 31 | github-code | 18 | [
{
"api_name": "ai2_kit.core.log.get_logger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "ai2_kit.res.DIR... |
35870728015 | """Added double indexes
Revision ID: 5783809706d2
Revises: 4e2dde2d15e6
Create Date: 2015-06-01 21:08:15.106408
"""
# revision identifiers, used by Alembic.
revision = '5783809706d2'
down_revision = '4e2dde2d15e6'
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Ale... | ebu/radiodns-manager | RadioDns-PlugIt/alembic/versions/5783809706d2_added_double_indexes.py | 5783809706d2_added_double_indexes.py | py | 823 | python | en | code | 14 | github-code | 18 | [
{
"api_name": "alembic.op.create_index",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "alembic.op.create_index",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "alembic.op... |
5399201663 | import paddle
import itertools
import log
import sys
import time
import datetime
import paddle.vision.transforms as T
from paddle.vision.datasets import Cifar10
from paddle.optimizer import Adam
from paddle.optimizer.lr import CosineAnnealingDecay
from paddle.optimizer.lr import LinearWarmup
from paddle.regularizer imp... | dlcg-Lab/Data-and-Channel-efficient-vision-Transformer | train.py | train.py | py | 4,265 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "paddle.optimizer.lr.CosineAnnealingDecay",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "paddle.optimizer.lr.LinearWarmup",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "sys.stdout",
"line_number": 39,
"usage_type": "attribute"
},
... |
5362593454 | """bitforum URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-base... | maazravian/BitForum | bitforum/bitforum/urls.py | urls.py | py | 2,455 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "... |
15964773751 | import torch
import torch.nn as nn
import torch.nn.functional as Functional
def square_distance(src, dst):
B, N, _ = src.shape
_, M, _ = dst.shape
dist = -2 * torch.matmul(src.float(), dst.float().permute(0, 2, 1))
dist += torch.sum(src ** 2, -1).view(B, N, 1)
dist += torch.sum(dst ** 2, -1).view(B... | remotebiosensing/rppg | nets/models/gcn_utils.py | gcn_utils.py | py | 5,444 | python | en | code | 185 | github-code | 18 | [
{
"api_name": "torch.matmul",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torch.sum",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "torch.sum",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.arange",
"line_number": 27,
... |
10080613868 | """Binary tree/non-tree classifier(s)."""
import glob
from os import path
import dask
import maxflow as mf
import numpy as np
import rasterio as rio
from dask import diagnostics
from sklearn import ensemble
from . import pixel_features, pixel_response, settings, utils
__all__ = ["ClassifierTrainer", "Classifier"]
M... | martibosch/detectree | detectree/classifier.py | classifier.py | py | 21,422 | python | en | code | 169 | github-code | 18 | [
{
"api_name": "numpy.array",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 176,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 176,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 176... |
41812042169 | import cocotb
from cocotb.clock import Clock
from cocotb.triggers import RisingEdge, FallingEdge, Timer, ClockCycles
@cocotb.test()
async def test_hex_sr(dut):
dut._log.info("start")
clock = Clock(dut.clk, 10, units="us")
cocotb.start_soon(clock.start())
cycles = 512
sr_len = 100
dut.recirc.... | brouhaha/tt02-hex-sr-big | src/test.py | test.py | py | 938 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "cocotb.clock.Clock",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cocotb.start_soon",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cocotb.triggers.RisingEdge",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "cocotb... |
74928666919 | """
[베스트 앨범]
https://school.programmers.co.kr/learn/courses/30/lessons/42579
스트리밍 사이트에서 장르 별로 가장 많이 재생된 노래를 두 개씩 모아 베스트 앨범을 출시
노래를 수록하는 기준
- 속한 노래가 많이 재생된 장르를 먼저 수록합니다.
- 장르 내에서 많이 재생된 노래를 먼저 수록합니다.
- 장르 내에서 재생 횟수가 같은 노래 중에서는 고유 번호가 낮은 노래를 먼저 수록합니다.
제한 사항
- genres와 plays의 길이는 동일
- 장르 종류 < 100개
- 장르에 속한 곡이 하나라면, 하나... | JeHa00/TIL | DataStructure_Algorithum/Programmers_High_score_kit/hash/베스트앨범.py | 베스트앨범.py | py | 1,887 | python | ko | code | 1 | github-code | 18 | [
{
"api_name": "typing.List",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "collections.defaultdict",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "collections.defaultdict",
"line_number": 25,
"usage_type": "call"
}
] |
15925281856 | import torch
import torch.nn as nn
import functools
from loss import *
class Res_Enhancement(nn.Module):
def __init__(self):
super(Res_Enhancement, self).__init__()
self.conv1 = nn.Sequential(
nn.Conv2d(in_channels=3, out_channels=16, kernel_size=3, padding=1),
... | k914/contrastive-alternative-learning | code/part_enhancement.py | part_enhancement.py | py | 2,075 | python | en | code | 4 | github-code | 18 | [
{
"api_name": "torch.nn.Module",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_... |
3769892873 | import asyncio
from typing import Optional, Any, List, Dict, Union
from simnet.client.components.chronicle.base import BaseChronicleClient
from simnet.client.routes import RECORD_URL
from simnet.errors import DataNotPublic, BadRequest
from simnet.models.genshin.chronicle.abyss import SpiralAbyss, SpiralAbyssPair
from ... | PaiGramTeam/SIMNet | simnet/client/components/chronicle/genshin.py | genshin.py | py | 11,273 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "simnet.client.components.chronicle.base.BaseChronicleClient",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 35,
"usage_type": "name"
}... |
72827373800 | from sqlalchemy.ext.associationproxy import _AssociationList
class RightMixin:
@staticmethod
def _fields_base_read():
return set()
@staticmethod
def _fields_export_csv():
return {
"software",
"software_version",
"http_referrer",
"user_ag... | monarc-project/version-checker | src/web/models/right_mixin.py | right_mixin.py | py | 1,246 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sqlalchemy.ext.associationproxy._AssociationList",
"line_number": 41,
"usage_type": "argument"
}
] |
39269717958 | """
Tests for tunes app.
"""
from django.test import TestCase
from tunes.models import Song
class SongDeserializeTest(TestCase):
def _test_deserialize(self, line, fields):
"""
Runs a serialization test.
"""
song = Song()
song.deserialize_itunes_tsv(line)
song_fields... | benatkin/tuneage | tunes/tests.py | tests.py | py | 2,111 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.test.TestCase",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "tunes.models.Song",
"line_number": 13,
"usage_type": "call"
}
] |
3998281846 | #!/usr/bin/env python
import sys
import os
import numpy
import scipy.interpolate as interp
import matplotlib.pyplot as plt
import clawpack.visclaw.colormaps as colormaps
def read_deformation(path):
r""""""
data = numpy.loadtxt(path)
x = data[:,0]
y = data[:,1]
z = data[:,2]
# Find maximum... | mandli/tohoku-pc | transform_dtopo.py | transform_dtopo.py | py | 5,913 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "numpy.loadtxt",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.min",
"line_number": 31,
... |
33008702443 | from copy import deepcopy
import json, os
from random import random
DEBUG = True
BRUCE_STORY_LINE = "bsl"
BRUCE_SHOW_UP = "bsu"
BRUCE_LOVE = "brl"
BRUCE_INTRODUCE = "bri"
OLIVER_STORY_LINE = "osl"
OLIVER_LOVE = "oll"
SINESTRO_STORY_LINE = "ssl"
SINESTRO_LOVE = "sil"
SINESTRO_TAME = "sit"
BARRY_LOVE = "bal"
SWORD_HOT... | zhuty18/EmeraldKnight | script/constant.py | constant.py | py | 3,168 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "os.path.abspath",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 62,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numbe... |
21052747348 | '3'
import signal
from neuron import h, gui
import numpy as np
import matplotlib.pyplot as plt
from open_pickle import read_from_pickle
import os
from tqdm import tqdm
from add_figure import add_figure
from glob import glob
import pickle
from calculate_F_factor import calculate_F_factor
path_single_traces=glob('data/t... | moriafrid/data_analysis | fit.py | fit.py | py | 12,147 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "glob.glob",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "neuron.h.load_file",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "neuron.h",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "neuron.h.load_file",
"line_... |
71427588520 | # load libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import seaborn as sns
import sklearn
sns.set()
# load dataset
train_df = pd.read_csv('../input/train.csv')
test_df = pd.read_csv('../input/test.csv')
train_df.shape
test_df.shape
train_df.col... | aorursy/new-nb-3 | jeppbautista_eda-feature-selection-xgboost-classifier.py | jeppbautista_eda-feature-selection-xgboost-classifier.py | py | 21,466 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "seaborn.set",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "missingno.matrix",
"li... |
5435161414 | from django.db.models.aggregates import Sum
from rest_framework.response import Response
from rest_framework.serializers import ModelSerializer
from rest_framework.viewsets import ViewSet
from rest_framework.decorators import action
from whereithurtsapi.models import Patient, Healing, Treatment, Hurt
from rest_framewor... | gavinschriver/whereithurts-server | whereithurtsapi/views/Profile.py | Profile.py | py | 2,690 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "whereithurtsapi.models.Healing",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 16,
... |
19511170142 | # Importing required modules
from config import *
from email_service import send_email
from scraper_service import get_latest_interruption_pdf, download_pdf
from ocr_service import ocr_pdf, extract_date_time
import os
from datetime import datetime
def read_file(file_path):
with open(f"templates/{file_path}", "r")... | annkimathi/KPLCInterruptions | main.py | main.py | py | 2,130 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "scraper_service.get_latest_interruption_pdf",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "scraper_service.download_pdf",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "ocr_service.ocr_pdf",
"line_number": 24,
"usage_type": "call"
... |
34212461299 | import io
import sys
_INPUT = """\
4 4
1 2
2 3
3 4
4 1
"""
sys.stdin = io.StringIO(_INPUT)
N, M = map(int, input().split())
connect = [[] for _ in range(N+1)]
for i in range(M):
A, B = map(int, input().split())
connect[A].append(B)
from collections import deque
def BFS(start):
visited = [False] * (N+1... | kkchart9/atcoder | ABC/204_c.py | 204_c.py | py | 722 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "sys.stdin",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "io.StringIO",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 27,
"usage_type": "call"
}
] |
2910319422 | from django.contrib import admin
from django.urls import path,include
from . import views
urlpatterns = [
path('', views.display,name="display"),
path('dis',views.d1,name="inner_page"),
path('bookt',views.booktic,name="booktic"),
path('cancelt',views.cantic,name="cantic"),
path('ticdet',views.ticket... | abisheg0213/Decentralised-Railway-reservation-application-using-Django | bcapp/urls.py | urls.py | py | 403 | python | en | code | 1 | github-code | 18 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
35149065579 | from collections import Iterable, Mapping
import kjbuckets
from django.conf import settings
from django.core.mail import EmailMultiAlternatives
from django.db.models import Model, Q
from django.template.loader import render_to_string
from django.db.models.loading import get_model
from django.contrib.sites.models impo... | esimorre/openplm | openPLM/plmapp/mail.py | mail.py | py | 6,060 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "django.db.models.Q",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "openPLM.plmapp.models.ROLE_SIGN",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "django.db.models.Q",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": ... |
3769914393 | from typing import Dict, Any, Optional, List, Union
from urllib import parse
from simnet.client.base import BaseClient
from simnet.client.routes import YSULOG_URL
from simnet.models.genshin.transaction import BaseTransaction, TransactionKind, ItemTransaction, Transaction
from simnet.utils.lang import create_short_lang... | PaiGramTeam/SIMNet | simnet/client/components/transaction.py | transaction.py | py | 3,811 | python | en | code | 12 | github-code | 18 | [
{
"api_name": "simnet.client.base.BaseClient",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "typing.... |
6220853997 | import pytest
INSTANCE_ID = 1
PROJECT_ID = 1
MODEL_ID = 1
FLOW_ID = 1
BK_USERNAME = 'unittest'
VERSION_ID = '96wsipgxk5hc4nzd7jqey1mbv8fau0lt'
MAIN_TABLE_ID = '591_main_table'
BK_BIZ_ID = 591
INDICATOR_RESULT_TABLE_ID = '591_indicator_table'
CALCULATION_ATOM_NAME = 'max_price'
def _init_complete_model_instance():
... | Tencent/bk-base | src/api/datamanage/tests/datamodel/init_data.py | init_data.py | py | 4,092 | python | en | code | 85 | github-code | 18 | [
{
"api_name": "datamanage.pro.datamodel.models.application.DmmModelInstance.objects.create",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datamanage.pro.datamodel.models.application.DmmModelInstance",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "dat... |
26707953273 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pytest
import sys
import tempfile
import json
import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
import config
from arm_compozure.arm_file import ArmFile
def test_init_check_attribute_src():
test = ArmFile('https://raw.githubuse... | TimSwart/arm-compozure | tests/test_arm_file.py | test_arm_file.py | py | 5,544 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "urllib3.exceptions",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "arm_compozure.arm_file.ArmFile",
"line_number": 15,
"usage_type": "call"
},
{
"a... |
71388474281 | import os
from django.conf import settings
from django.core.management.base import NoArgsCommand
from Plugins.ckeditor.views import get_image_files
from Plugins.ckeditor.utils import get_thumb_filename
from Plugins.ckeditor.image_processing import get_backend
class Command(NoArgsCommand):
"""
Creates thumbn... | cornelioroyer/ERPProject | Plugins/ckeditor/management/commands/generateckeditorthumbnails.py | generateckeditorthumbnails.py | py | 1,120 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "django.core.management.base.NoArgsCommand",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.conf.settings",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "Plugins.ckeditor.image_processing.get_backend",
"line_number": 19,
"us... |
27336633081 | # -*- coding: utf-8 -*-
# Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Joan Massich <mailsik@gmail.com>
#
# License: BSD Style.
import numpy as np
from ...utils import verbose
from ._utils import _fetch_one, _data_path, TEMAZEPAM_SLEEP_RECORDS
from ._utils import _check_subjects
data_path = _... | soheilbr82/BluegrassWorkingMemory | Python_Engine/Lib/site-packages/mne/datasets/sleep_physionet/temazepam.py | temazepam.py | py | 4,230 | python | en | code | 5 | github-code | 18 | [
{
"api_name": "_utils._data_path",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "numpy.loadtxt",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "_utils.TEMAZEPAM_SLEEP_RECORDS",
"line_number": 79,
"usage_type": "argument"
},
{
"api_name": "_u... |
25795529311 | #! pip install transformers
#! pip install -U sentence-transformers
#! pip install konlpy
##########################################
### 1. Load Clean Korean Legal Dataset ###
##########################################
import konlpy
from konlpy.tag import Mecab
file_path = "./data/cklc-small.txt"
with open(file_path)... | Navy10021/Semantic-Legal-Searcher | pre-training/1_3_TSDAE.py | 1_3_TSDAE.py | py | 7,690 | python | en | code | 2 | github-code | 18 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "konlpy.tag.Mecab",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sentence_transformers.readers.InputExample.InputExample",
"line_number": 34,
"usage_type": "cal... |
37304422624 | from collections import Counter
M1 = 10 ** 9 + 7
M2 = 10 ** 9 + 33
p1 = 10 ** 9 + 9
p2 = 10 ** 9 + 87
pw1 = [1] * 26
pw2 = [1] * 26
for i in range(1, 26):
pw1[i] = p1 * pw1[i - 1]
pw2[i] = p2 * pw2[i - 1]
pw1[i] %= M1
pw2[i] %= M2
class Solution:
def mins(self, stickers, i, n, rem, rctr, h1, h2):
... | theabbie/leetcode | stickers-to-spell-word.py | stickers-to-spell-word.py | py | 1,403 | python | en | code | 11 | github-code | 18 | [
{
"api_name": "collections.Counter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 43,
"usage_type": "call"
}
] |
900389082 | import time
from django.contrib.auth import get_user_model
from django.test import TestCase
from django.urls import reverse
from Journal.auth_accounts.models import Profile
from Journal.web_app.models import Journal
UserModel = get_user_model()
class TestJournalViews(TestCase):
VALID_USER_DATA = {
'ema... | NikolaKolew/Journal | Journal/web_app/test/views/test_journal_view.py | test_journal_view.py | py | 3,277 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.test.TestCase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "Journal.web_app.models.Journal.objects.create",
"line_number": 35,
"usage_type": ... |
30926206736 | import os
import cv2
import optics
import argparse
import tfrecord
import numpy as np
import tensorflow as tf
from util import *
class TensorHolographyModel():
def __init__(self,
hologram_params,
training_params,
model_params,
loss_params,
... | adelansari/tensor_holography | main.py | main.py | py | 28,476 | python | en | code | null | github-code | 18 | [
{
"api_name": "tensorflow.compat.v1.ConfigProto",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.compat.v1.Session",
"line_number": 34,
"usage_type": "call"
},
{
... |
26515338415 | from absl.testing import absltest
from bsuite.baselines.utils import sequence
import dm_env
from dm_env import specs
import numpy as np
class BufferTest(absltest.TestCase):
"""Tests for the sequence buffer class."""
def test_buffer(self):
# Given a buffer and some dummy data...
max_sequence_length = 10
... | deepmind/bsuite | bsuite/baselines/utils/sequence_test.py | sequence_test.py | py | 2,099 | python | en | code | 1,400 | github-code | 18 | [
{
"api_name": "absl.testing.absltest.TestCase",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "absl.testing.absltest",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "bsuite.baselines.utils.sequence.Buffer",
"line_number": 16,
"usage_type": "call"
... |
21732873426 | from typing import Callable, TypeVar
from typing_aliases import Binary, Nullary, Quaternary, Ternary, Unary
from typing_extensions import ParamSpec
from wraps.future import Future
__all__ = (
"FutureCallable",
"FutureNullary",
"FutureUnary",
"FutureBinary",
"FutureTernary",
"FutureQuaternary"... | nekitdev/wraps | wraps/typing.py | typing.py | py | 855 | python | en | code | 3 | github-code | 18 | [
{
"api_name": "typing_extensions.ParamSpec",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "typing.TypeVar",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "typing.TypeVar",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "typing.Type... |
17893043762 | import subprocess
from typing import Optional
def sub_com(command, input_pipe=None) -> Optional[str]:
stderr = ""
# subprocess communicate
# https://stackoverflow.com/questions/11269575/how-to-hide-output-of-subprocess-in-python-2-7
# Command Should be None, guard for False for sanity
if command ... | rosenberg-c/public_rpi_styra_src | tools_lib/lib/user_sys/sub_com.py | sub_com.py | py | 1,058 | python | en | code | 0 | github-code | 18 | [
{
"api_name": "subprocess.Popen",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "typing.Optional",
"line_number": 5,
"usage_type": "name"
}
] |
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