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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9927108927 |
# coding: utf-8
# In[89]:
import tarfile
import xml.etree.ElementTree as ET
import tqdm
import codecs
# In[87]:
members = []
tar = tarfile.open("unlabeled.tar.gz", "r:gz")
outfile = codecs.open("unlabeled.txt", 'w', 'utf-8')
for member in tar:
f = tar.extractfile(member)
if f is None:
con... | peteykun/NLU-Assignment3 | tar2txt.py | tar2txt.py | py | 874 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tarfile.open",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree.fromstring",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "xml.etree.E... |
26728719706 | import math
import os
import random
import re
import warnings
from typing import Dict, List, Tuple, Union
import cv2
import numpy as np
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
import torch.optim as optim
from torch import nn
from torch.nn.parallel import DistributedDataParallel... | tattaka/unsupervised-hdr-imaging | unsupervised_hdr/core.py | core.py | py | 15,835 | python | en | code | 8 | github-code | 1 | [
{
"api_name": "warnings.simplefilter",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.__version__.split",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.__version__",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "... |
39157907847 | # http://localhost:3000/objects
import requests
url = "localhost:3000/objects"
payload = "{\n \"id\": 5,\n \"item\": \"The Fiancรฉs\",\n \"artist\": \"Pierre Auguste Renoir\",\n \"collection\": \"WallrafโRichartz Museum, Cologne, Germany\",\n \"date\": \"1868\"\n }"
headers = {
... | mustafaakgul/python-guide | src/32-restful_api/local_db_hitting.py | local_db_hitting.py | py | 471 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "requests.request",
"line_number": 11,
"usage_type": "call"
}
] |
21402710703 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018/11/30 14:47
# @Author : qingping.niu
# @File : StartTime.py
# @desc :
import os,time,datetime
import uiautomator2 as u2
def getdevices():
devices = []
result = os.popen("adb devices").readlines()
result.reverse()
try:
for l... | nqping/MyToolkit | Quality/StartTime.py | StartTime.py | py | 1,098 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.popen",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "uiautomator2.connect",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "datetime.datetime... |
27689203044 | import discord
import yaml
with open("data/users.yaml", "r") as ymlfile:
users = yaml.load(ymlfile, Loader=yaml.BaseLoader)
def find(ctx, typ):
for i in users[typ]:
if str(i) == str(ctx.message.author):
return True
return False
async def check_admin(ctx):
if find(... | Kattulel/DisneyBot | config/usercontrol.py | usercontrol.py | py | 513 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "yaml.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "yaml.BaseLoader",
"line_number": 5,
"usage_type": "attribute"
}
] |
73631959395 | """Utility file to seed kindred database from Native-Land data"""
from sqlalchemy import func
from models import Tribe, Language, connect_to_db, db
from routes import app
import json
def json_reader(file_path):
"""Opens & loads json files"""
with open(file_path) as file:
json_dict = json.load(file)
return js... | bsmejkal/kindred-culture | seed.py | seed.py | py | 1,824 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "json.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.Tribe.query.delete",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "models.Tribe.query",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "models.Tr... |
31486116618 | from numpy import linspace
from xspec import *
from cstat_deviation import *
import matplotlib.pyplot as plt
import numpy as np
def compute_deviation(file_name):
"""
This function computes the cstat deviation from an xcm file
Args:
file_name (.xcm): xcm file
Returns:
the cstat d... | Lucas-Dfr/CrossCorrelationSearch-v1 | model_selection/model_selection.py | model_selection.py | py | 2,421 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "matplotlib.pyplot.style.use",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.style",
"line_number": 77,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 77,
"usage_type": "name"
},
{
"api_na... |
7417438363 |
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import torch
import torch.nn as nn
import torch.optim as optim
from pathlib import Path
from .model import EncoderModel, DecoderModel
class Modelrunner():
def __init__(self, model_def, load_latest = False ):
self... | REPLICA-Collective-Rep/DATECentral | model/modelrunner.py | modelrunner.py | py | 7,009 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "torch.nn.SmoothL1Loss",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "torch.from_numpy",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"... |
2949776160 | from selenium.webdriver.firefox.options import Options as FirefoxOptions
import filesHandler as fh
import lpCrawler as lp
def scrape_charts(filepath):
""" Scrape the data of all the charts of Polish Radio Program 3. """
ff_options = FirefoxOptions()
ff_options.add_argument('--headless')
driver = lp.LP... | magdalena-natalia/PR3TimeMachine | lpJson.py | lpJson.py | py | 434 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "selenium.webdriver.firefox.options.Options",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "lpCrawler.LPCrawler",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "filesHandler.write_json",
"line_number": 12,
"usage_type": "call"
}
] |
19360145371 | import logging
import pandas as pd
from zenml import step
class IngestData:
"""
Ingesting data from the data_path provided.
"""
def __init__(self, path: str):
"""
Args:
data_path: path to the data.
"""
self.path = path
def get_data(self):
"""
... | MaruthiKo/customer-satisfaction_mlops | steps/ingest_data.py | ingest_data.py | py | 987 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.info",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "logging.error",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "zenml.step",
"line_num... |
71873135395 | import re
import sys
from deep_translator import GoogleTranslator
# Split the text into smaller groups up to 5000 characters without breaking lines so need to split on new lines
def split_text(text, max_len=4500):
# Split the text into lines
lines = text.split("\n")
# List of chunks
chunks = [... | BaseMax/UnlimitedAutoTranslate | UnlimitedAutoTranslate.py | UnlimitedAutoTranslate.py | py | 2,207 | python | en | code | 10 | github-code | 1 | [
{
"api_name": "deep_translator.GoogleTranslator",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
... |
39546171687 | '''
็ฌ่ซไธป็จๅบ
ไปๅทฅไฟก้จ่ทๅๅนถไธ่ฝฝใๅ
ๅพ่ฝฆ่พ่ดญ็ฝฎ็จ็ๆฐ่ฝๆบๆฑฝ่ฝฆ่ฝฆๅ็ฎๅฝใ๏ผใๆฐ่ฝๆบๆฑฝ่ฝฆๆจๅนฟๅบ็จๆจ่่ฝฆๅ็ฎๅฝใ๏ผใ้่ทฏๆบๅจ่ฝฆ่พ็ไบงไผไธๅไบงๅใๆไปถ๏ผๆไปถๅจๅญ่ณ './data/origin_data'
@Author: KivenChen
@Date: 2019-04-10
'''
import os
import asyncio
from . import output
from .spider import spider_1, spider_2
def main():
base_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
... | KivenCkl/New_Energy_Vehicles_Info_Crawler | Spider/main.py | main.py | py | 1,597 | python | zh | code | 28 | github-code | 1 | [
{
"api_name": "os.path.dirname",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
5216154869 | import pygame
import time
import random
pygame.init()
white = (255, 255, 255)
black = (0, 0, 0)
red = (255, 0, 0)
blue = (0, 0, 255)
dis_width = 800
dis_height = 600
dis = pygame.display.set_mode((dis_width, dis_height))
pygame.display.set_caption('collect the trash')
background = pygame.image.load("natureback... | evanse10/Shehacks2021 | game.py | game.py | py | 5,694 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pygame.init",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "pygame.display... |
38920515345 | from flask import Flask
from flask import request # `request` is a global object that can be used to access the query string of a url
# Create a new Flask instance (passing the current namespace to the Flask initializer)
app = Flask(__name__)
# Create a route
# Note this uses 'pie syntax' to implement a decorator
# ... | Crossroadsman/FlaskProject | simple_app.py | simple_app.py | py | 2,440 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "flask.reque... |
15871446797 | # coding=utf-8
from openpyxl import Workbook
#ๅจๅ
ๅญไธญๅๅปบไธไธชworkbookๅฏน่ฑก
wb = Workbook()
ws = wb.get_active_sheet()
print(ws.title)
ws.title = u'99ไนๆณ่กจ'
#่ฎพ็ฝฎๅๅ
ๆ ผ็ๅผ
for row in range(1,10):
for col in range(1,10):
ws.cell(row = row, column = col).value = row * col
#ๆๅไฟๅญ
wb.save(filename='99ไนๆณ่กจ.xls')
| stella-chmt/daily_scripts | python/practise_for_yingl_lessons/lesson_1/multiply_sheet.py | multiply_sheet.py | py | 359 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "openpyxl.Workbook",
"line_number": 5,
"usage_type": "call"
}
] |
18096921378 | import requests
from bs4 import BeautifulSoup as bs
import arrow
import csv
import pandas as pd
from time import sleep
def forager():
venue = "Forager"
prices = "NaN"
month = input("Please enter the number of the month in the form '1': ")
for l in range(1, 13):
if month == str(l):
... | Astatham98/EventWebScrape | webscrape1/forager.py | forager.py | py | 2,955 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "arrow.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "arrow.get",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number... |
27970246169 | # coding=utf-8
import logging
import os
import uuid
import xlwt
from django.core.cache import cache
from django.core.urlresolvers import reverse
from django.db import IntegrityError
from django.db import transaction
from BanBanTong import constants
from BanBanTong.db import models
from BanBanTong.db import utils as db_... | xiaolin0199/bbt | apps/BanBanTong/views/system/lesson_teacher.py | lesson_teacher.py | py | 11,751 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.getLogger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "BanBanTong.forms.lesson_teacher.LessonTeacherForm",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "BanBanTong.utils.simplecache.LessonTeacher.update",
"line_number": 36,
... |
3028681836 | import numpy as np
import tensorflow as tf
import extra_keras_datasets.emnist as centr_emnist # See https://github.com/machinecurve/extra_keras_datasets
import nest_asyncio
nest_asyncio.apply()
tf.compat.v1.enable_v2_behavior()
tf.compat.v1.graph_util.extract_sub_graph
# Final evaluation in test dataset
print("Eval... | fwilhelmi/blockchain_enabled_federated_learning | Code & Results/TensorFlow code/evaluate_models_test_dataset.py | evaluate_models_test_dataset.py | py | 1,279 | python | en | code | 27 | github-code | 1 | [
{
"api_name": "nest_asyncio.apply",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat.v1.enable_v2_behavior",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "tensorflow.compat",
"line_number": 8,
"usage_type": "attribute"
},
{
"ap... |
20059712231 | import os
from setuptools import setup, find_packages
exec(open('hops/version.py').read())
def read(fname):
try:
return open(os.path.join(os.path.dirname(__file__), fname), encoding='utf8').read() #python3
except:
return open(os.path.join(os.path.dirname(__file__), fname)).read() #python2
se... | logicalclocks/hopsworks-cloud-sdk | setup.py | setup.py | py | 1,664 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numbe... |
13261468913 | import websocket, json, pprint,talib, numpy
SOCKET = "wss://stream.binance.com:9443/ws/ethusdt@kline_1m"
avg = 0
open_total = []
closed_total = []
high_total = []
low_total = []
SSL_PERIOD = 14
STOCK = "ETHUSD"
PAY = 100.00
POSTION = False
TRADE_QUANTITY = 0
profit = 0
def on_open(webS):
print(" opened conn... | TDysart1/botbot | ethrium.py | ethrium.py | py | 4,606 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "json.loads",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 6... |
20920450281 | #!/usr/bin/env python3
# publisher for a specific img folder
import rospy
from std_msgs.msg import String
from detection_only.msg import Bbox_6, Bbox6Array
from sensor_msgs.msg import Image
import json
import time
import cv2
from os import listdir
from os.path import isfile, join
from cv_bridge import CvBridge
import ... | ziyan0302/Yolov5_DeepSort_Pytorch_ros | src/detection_only/src/img_pubtest.py | img_pubtest.py | py | 1,994 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "os.listdir",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_numbe... |
11274134402 | import z3
import random
special_var_table = {}
_var_count = 0
def new_variable(var_type):
global _var_count
_var_count += 1
if var_type == "Bool":
return z3.Bool("Bool" + str(_var_count))
elif var_type == "Int":
return z3.Int("Int" + str(_var_count))
else:
assert False
def... | hsh814/ExtractFix | src/synthesis/second_order/util/common.py | common.py | py | 2,587 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "z3.Bool",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "z3.Int",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "z3.Not",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "z3.And",
"line_number": 23,
"usage_type... |
1972302698 | # This demo shows how to plot the contour plot for given function, with resultant of the partial derivatives displayed
# as arrows
import numpy as np
import matplotlib.pyplot as plt
import math
def func(x, y):
z = y - x - 2 * x ** 2 - 2 * x * y - y ** 2
return z
x = np.linspace(-2, 0, 20)
y = np.linspace(1... | Homingdung/numerical_analysis_py | fieldsVisualize.py | fieldsVisualize.py | py | 521 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.linspace",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.meshgrid",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.gradient",
"li... |
29539726668 | from traceback import print_tb
from matplotlib import pyplot as pl
import numpy as np
import re
def poly_regression(dataset1):
x1 = np.arange(dataset1.size)
z1 = np.polyfit(x1, np.log(dataset1),1)
exp_1 = np.exp(z1[1])
plot_p1 = [exp_1*np.exp(z1[0]*x) for x in range(50)]
return plot_p1
# ... | MatheusMenezes/latent_learning_app | plot_codes/plot_grid.py | plot_grid.py | py | 14,212 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "numpy.arange",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.polyfit",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 1... |
74081283232 | from unittest.mock import patch, Mock
import pytest
from item_db import ItemDB
from shopping_cart import ShoppingCart
@pytest.fixture
def cart():
return ShoppingCart(4)
def mock_get_price(item: str):
if item == 'pear':
return 2
if item == 'banana':
return 3
def test_can_add_item_to_c... | lorencmateusz/learning-tests | test_shopping_cart.py | test_shopping_cart.py | py | 1,091 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "shopping_cart.ShoppingCart",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pytest.fixture",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pytest.raises",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "item_db.I... |
34013737364 | from heapq import *
from collections import deque
from collections import Counter
def schedule_tasks(tasks, k):
# We should always try to schedule the task with the highest count.
# So, we can get the counts for each task and add to max Heap.
# Then, pop from maxHeap to schedule (k + 1) tasks
# For each task,... | kjingers/Leetcode | Problems/TaskScheduler/TaskScheduler.py | TaskScheduler.py | py | 1,856 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.Counter",
"line_number": 19,
"usage_type": "call"
}
] |
22861823283 | import json
import requests
import argparse
import sys
import os
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
chrom... | PFE-Attack-client/PFE-Attaques-client | platform/my-vuln-app/bot-victim/main.py | main.py | py | 2,034 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 18,
"usage_type": "name"
},
{... |
40086162188 | import argparse
import pprint
import shutil
from pathlib import Path
import tensorflow as tf
import yaml
from tensorflow import keras
from dataset_factory import DatasetBuilder
from losses import CTCLoss
from metrics import SequenceAccuracy
from models import build_model
parser = argparse.ArgumentParser()
parser.add... | FLming/CRNN.tf2 | crnn/train.py | train.py | py | 2,049 | python | en | code | 144 | github-code | 1 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "yaml.load",
"li... |
16538322007 | import plotly.express as px
import pandas as pd
from datastructure import *
from sklearn.decomposition import PCA
import plotly.graph_objects as go
def createSPLOM(data, idx, indexRange, maxComp):
O = np.transpose(data.series[idx].orientations, (1, 0, 2))[indexRange[0]:indexRange[1]]
O = O.reshape(O.shape[0],... | marinaevers/asevis | Components/splom.py | splom.py | py | 1,208 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sklearn.decomposition.PCA",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "plotly.express.scatter_matrix",
"line_number": 20,
"usage_type": "call"
},
{
"api_name... |
22720982859 | #!/usr/bin/env python3
from __future__ import annotations
import torch
from .. import settings
from ..utils.broadcasting import _matmul_broadcast_shape, _mul_broadcast_shape
from ..utils.deprecation import bool_compat
from ..utils.getitem import _noop_index
from .dense_linear_operator import DenseLinearOperator, to_... | cornellius-gp/linear_operator.old | linear_operator/operators/cat_linear_operator.py | cat_linear_operator.py | py | 18,489 | python | en | code | 18 | github-code | 1 | [
{
"api_name": "torch.is_tensor",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.cat",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "dense_linear_operator.to_linear_operator",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "de... |
35483658265 | from nltk.compat import gutenberg
gutenberg.fileids()
dir(gutenberg)
JM_book = gutenberg.words('milton-paradise.txt')
len(JM_book)
sample_JM = JM_book[100:150]
sample_JM
len(sample_JM)
set_JM = set(sample_JM)
set_JM
len(set(set_JM))
type(set_JM)
sorteSet_JM = sorted(set_JM)
sorteSet_JM
len(sorteSet_JM)
print("mil... | FernandoMartinezJara/Nltk | curso2/2 Organizing Words by Set and Sorted.py | 2 Organizing Words by Set and Sorted.py | py | 376 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "nltk.compat.gutenberg.fileids",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "nltk.compat.gutenberg",
"line_number": 3,
"usage_type": "name"
},
{
"api_name": "nltk.compat.gutenberg",
"line_number": 5,
"usage_type": "argument"
},
{
"api_na... |
70852654755 | import csv
from collections import OrderedDict
from statistics import mean
def calculate_averages(input_file_name, output_file_name):
f1 = open(input_file_name)
reader = csv.reader(f1)
for row in reader:
name = row[0]
grd = list()
for grade in row[1:]:
grd.append(float(... | NafisehAbrishami/Python_and_C_Projects | Project-Source1.py | Project-Source1.py | py | 3,671 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "csv.reader",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "statistics.mean",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": ... |
27701560902 | import json
import argparse
from typing import Text, Dict, List
def render_embedding(active: List[int], height: int, width: int) -> None:
for row in range(height):
print("|", end="")
for col in range(width):
i = row * width + col
print("X" if i in active else " ", end="")
... | RasaHQ/semantic-map-embedding | scripts/view_smap.py | view_smap.py | py | 1,651 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Text",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 27,... |
17977450408 | # implementation based on DeepLTL https://github.com/reactive-systems/deepltl
import sys
import importlib
import os.path as path
import subprocess
import re
from timeit import default_timer as timer
from typing import Tuple
import multiexit
from dlsgs.utils import ltl_parser
DEFAULT_BINARY_PATH = "bin"
def solve_... | ju-kreber/Transformers-and-GANs-for-LTL-sat | impl/dlsgs/data_generation/ltl.py | ltl.py | py | 8,473 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "dlsgs.utils.ltl_parser.ltl_trace",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "dlsgs.utils.ltl_parser",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "dlsgs.utils.ltl_parser.Token",
"line_number": 34,
"usage_type": "attribute"
},
... |
15554588830 | import os
import smtplib
import ssl
from email.message import EmailMessage
from email.utils import formataddr
from dotenv import load_dotenv
from pathlib import Path
# Load the environment variables
current_dir = Path(__file__).resolve().parent if "__file__" in locals() else Path.cwd()
envars = current_dir / ".env"
l... | martgjepali/E-mail-Automation | send_email.py | send_email.py | py | 2,464 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pathlib.Path.cwd",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "dotenv.load_dotenv",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"lin... |
13967642156 | import boto3
from colorama import Fore, Back, Style
from functions import create_client
def help():
print(Fore.YELLOW + "\n================================================================================================" + Style.RESET_ALL)
print("[+] Module Description:\n")
print("\tThis module will enumer... | MiedzinskiBuck/Kintoun | modules/enumeration/s3_enumerate_buckets.py | s3_enumerate_buckets.py | py | 2,776 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "colorama.Fore.YELLOW",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "colorama.Fore",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "colorama.Style.RESET_ALL",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "co... |
75108619553 | #!/usr/bin/python3
"""
ๆฑ่ฅฟๆฐดๅบไฟกๆฏ
Author: cg
Date: 2020/7/11 15:58
"""
import json
import urllib.request
from crawl.spiders.base_spider import BaseSpider
from operate.schedulermgr import SchedulerMgr
from db.mapping.jiangxi_reservoir.jiangxi_reservoir import JiangxiReservoir
from db.mapping.jiangxi_reservoir.jiangxi_r... | 0827cg/cgspiders | crawl/spiders/jiangxi_reservoir.py | jiangxi_reservoir.py | py | 3,313 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "crawl.spiders.base_spider.BaseSpider",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "operate.schedulermgr.SchedulerMgr.add_job_cron",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "operate.schedulermgr.SchedulerMgr",
"line_number": 33,
... |
38812425841 | import numpy as np
import cv2
img=cv2.imread('img4.png',0)
alto,ancho=img.shape[:2]
img1=np.zeros([alto, ancho], np.uint8)
img2=np.zeros([alto, ancho], np.uint8)
img3=np.zeros([alto, ancho], np.uint8)
k = np.array([[0, 1, 0], [1, 6, 1], [0, 1, 0]])/10
k1 = np.array([[0, -1, 0], [-1, 5, -1], [0, -1, 0]])
img... | jaime1315321/VisionArtificial2022_2 | andres_carpeta/MATERAIAL COMPARTIDO/vision/sebas/Punto_e.py | Punto_e.py | py | 1,991 | python | es | code | 0 | github-code | 1 | [
{
"api_name": "cv2.imread",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.uint8",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "numpy.zeros",
"line_number":... |
2371194732 | import json
import os
from datetime import timedelta, date, datetime
from flask import render_template, request, redirect, Response, send_from_directory, session, url_for, abort
from flask.views import MethodView
from flask_admin.contrib import sqla
from flask_security import current_user
from clocking.models import ... | eaudeweb/mac-logging | clocking/api/view.py | view.py | py | 6,160 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "flask_admin.contrib.sqla.ModelView",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "flask_admin.contrib.sqla",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "flask_security.current_user.is_active",
"line_number": 20,
"usage_type":... |
25191387496 | import os
import pathlib
import gzip
from itertools import groupby
from typing import List, Dict, TextIO, Tuple, Union
import numpy as np
import pandas as pd
import plot
# type aliases
NX_DICT = Dict[str, List[int]]
AUN_DICT = Dict[str, float]
class AssemblyCollection:
def __init__(
self,
pat... | W-L/pauNy | pauNy/lib.py | lib.py | py | 10,096 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "typing.Dict",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": ... |
72357287713 | import beneath
from config import SUBREDDIT
from generators import posts, comments
with open("schemas/post.graphql", "r") as file:
POSTS_SCHEMA = file.read()
with open("schemas/comment.graphql", "r") as file:
COMMENTS_SCHEMA = file.read()
def make_table_name(subreddit, kind):
name = subreddit.replace("... | beneath-hq/beneath | examples/reddit/main.py | main.py | py | 1,323 | python | en | code | 75 | github-code | 1 | [
{
"api_name": "beneath.Pipeline",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "generators.posts",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "generators.posts.generate_posts",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name":... |
16735200242 | # coding=utf-8
from charm.toolbox.pairinggroup import *
from utils.newsecretutils import Utils
from charm.toolbox.ABEncMultiAuth import ABEncMultiAuth
import re
# from newjson import ElementEncoder, ElementDecoder
import utils.newjson as newjson
import queue
import time
import threading
debug = False
import newma
impo... | scottocs/OFE-ABE | Alice.py | Alice.py | py | 4,244 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "newma.Dabe",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "utils.newjson.loads",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "utils.newjson",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "utils.newjson.loads",
... |
23885295653 | from functools import partial
from numbers import Number
from typing import Iterable
import numpy as np
from ...mat_gen import zeros
from ...node import Node
from .base import (
_assemble_wout,
_compute_error,
_initialize_readout,
_prepare_inputs_for_learning,
_split_and_save_wout,
readout_for... | reservoirpy/reservoirpy | reservoirpy/nodes/readouts/lms.py | lms.py | py | 4,648 | python | en | code | 296 | github-code | 1 | [
{
"api_name": "numpy.outer",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "base._prepare_inputs_for_learning",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "node.input_bias",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "ba... |
6127715262 | from bs4 import BeautifulSoup
import re
from random_uk_bank_account.client.vocalink import VocalinkApi
from random_uk_bank_account.utils.exceptions import ErrorInferringVocalinkVersions
SORT_CODE_SUB_LINK_TEXT = "Sorting Code Substitution Data"
MODULUS_WEIGHT_TABLE_LINK_TEXT = "Modulus weight table data"
def _extrac... | j-puri/random-uk-bank-account | random_uk_bank_account/vocalink/vocalink_version.py | vocalink_version.py | py | 978 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "re.findall",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "random_uk_bank_account.utils.exceptions.ErrorInferringVocalinkVersions",
"line_number": 15,
"usage_type": "c... |
28602926196 | '''
ใใฎใณใผใใฏimabariใใใฎใณใผใใๅ
ใซไฝๆใใฆใใพใใ
https://github.com/imabari/covid19-data/blob/master/aichi/aichi_ocr.ipynb
'''
import pathlib
import re
import requests
from bs4 import BeautifulSoup
from urllib.parse import urljoin
import pytesseract
import csv
import recognize_main_summary_date_1 as date_pattern1
import recogni... | code4nagoya/covid19-aichi-tools | scrape_main_summary.py | scrape_main_summary.py | py | 5,379 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "requests.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pathlib.PurePath",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_n... |
7065938845 | """
Pลฏvodnรญ nรกvrh:
class Board
- grid
* reset
* draw
* score - z pohledu hrรกฤe
* score_wnd5
* wintie - globรกlnฤ, 0 = jedeme dรกl, 1/-1 win hrรกฤ, jinak = tie
* wintie_wnd5
"""
import pygame
import random
import math
from pyshqorky.players import *
class Board:
""" Tลรญda pro prรกci s hernรญ deskou. Jsou zde informace ... | zdenekkhol/pyshqorky | pyshqorky/board.py | board.py | py | 14,134 | python | cs | code | 0 | github-code | 1 | [
{
"api_name": "pygame.Rect",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "pygame.draw.rect",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_number": 63,
"usage_type": "attribute"
},
{
"api_name": "pygame.Rect",
... |
26443195131 | import pymongo
import os
from datetime import datetime
import math
import re
import pymongo
import keys # .gitgnored file
from bson.objectid import ObjectId
from bson.son import SON
import atexit
import math
CONNECTION = None
PAGESIZE = 10
def date_now():
"""
Needed to keep the same date in python and mong... | ssi-dk/BeONE-old-version | bifrost/bifrost_mongo_interface.py | bifrost_mongo_interface.py | py | 8,965 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "math.floor",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "atexit.register... |
18709087270 | # Dictionary and counter in Python to find winner of election
print("======== Counter + Sorted + Slicing ========")
from collections import Counter
def winner(input):
votes = Counter(input)
dic = {}
# output : {4: [], 2: [], 3: []}
for value in votes.values():
dic[value] = []
# output : ... | dilipksahu/Python-Programming-Example | Dictionary Programs/findElectionWinner.py | findElectionWinner.py | py | 1,507 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "collections.Counter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 48,
"usage_type": "call"
}
] |
31980288440 | from django.urls import path
from . import views
app_name = 'pages'
urlpatterns = [
path('', views.index, name='index'),
path('fare/', views.fare, name='fare'),
path('about-us/', views.about, name='aboutus'),
path('contact-us/', views.contactus, name='contactus'),
path('complaints/', views.complai... | saidulroney/nuist-pms | pages/urls.py | urls.py | py | 347 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
38841332585 | import sqlalchemy
from sqlalchemy.ext.declarative import declarative_base
#Crear engine
engine = sqlalchemy.create_engine("sqlite:///slangs2.db")
Base = declarative_base()
#Crear diccionario
class Diccionario(Base):
__tablename__ = "diccionario"
id = sqlalchemy.Column(sqlalchemy.Integer, primary... | mtamburrelli/slangsSQLAlchemy | Slangs2(SqlAlchemy)/slangsTarea2(SQLALCHEMY).py | slangsTarea2(SQLALCHEMY).py | py | 4,417 | python | es | code | 0 | github-code | 1 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.ext.declarative.declarative_base",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 14,
"usage_type": "call"
},
{
... |
2347070900 | from django.core.exceptions import ValidationError
from django.db import transaction
from rest_framework import exceptions, status, viewsets
from rest_framework.decorators import action
from rest_framework.response import Response
from ESSArch_Core.ip.models import Agent, InformationPackage
from ESSArch_Core.ip.permis... | ESSolutions/ESSArch_Tools_Producer | ESSArch_TP/profiles/views.py | views.py | py | 5,722 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "ESSArch_Core.profiles.views.SubmissionAgreementViewSet",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "ESSArch_Core.profiles.models.SubmissionAgreement.objects.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "ESSArch_Core.profiles.models.... |
26813527429 | import os
import numpy as np
import pandas as pd
from tqdm import *
def label2csv(input_file, output_file, labels_file, train_dir):
with open(labels_file, 'r', encoding='utf-8') as f:
labels = f.readlines()
labels = [a.strip() for a in labels]
n_labels = len(labels)
with open(input_file, 'r... | gen0924/ECG-HEFEI | round2/code/prep/ecg_prep.py | ecg_prep.py | py | 7,039 | python | en | code | 6 | github-code | 1 | [
{
"api_name": "pandas.DataFrame",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
... |
15948730497 | from datetime import datetime
from django.contrib import messages
from django.contrib.auth import get_user_model
from django.db.models import F, Subquery, Count, Q
from django.http.response import JsonResponse
from django.shortcuts import render, get_object_or_404, redirect
from django.contrib.auth.decorators import lo... | NirushaaaR/CTF-platform-final-project | src/game/views.py | views.py | py | 5,996 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "game.models.Challenge.objects.filter",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "game.models.Challenge.objects",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "game.models.Challenge",
"line_number": 23,
"usage_type": "name"
... |
16572439195 | import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
sns.set(style="whitegrid")
sns.set_context("paper", font_scale=1.5)
# read entire results
data = pd.read_csv("../CSV/jmh-result.csv")
# filter Benchmarks
data = data.loc[data['Benchmark'].str.contains("OneShot")]
# names ar... | huti26/project-loom-analysis | Plots/Seaborn/JMH/Scripts/OneShot-stackDepths-as-columns.py | OneShot-stackDepths-as-columns.py | py | 1,252 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "seaborn.set",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "seaborn.set_context",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.int64",
"line... |
28096738039 | import requests
from text2speech.modules import RemoteTTS, TTSValidator
class MaryTTS(RemoteTTS):
PARAMS = {
'INPUT_TYPE': 'TEXT',
'AUDIO': 'WAVE_FILE',
'OUTPUT_TYPE': 'AUDIO'
}
def __init__(self, config=None):
config = config or {"lang": "en-us",
... | HelloChatterbox/text2speech | text2speech/modules/mary_tts.py | mary_tts.py | py | 2,017 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "text2speech.modules.RemoteTTS",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "text2speech.mo... |
31551591291 | # This code is written to extract electronic band structure data from V.A.S.P. calculation results.
import codecs
import re
import linecache # ่ฟไธชๆจกๅ้ๅธธ้ๅๆ นๆฎ็ปๅบ็่กๅท๏ผ ไปๆๆฌๆไปถไธญ่ฏปๅๆๅฎ่ก็ๆฐๆฎ
import numpy as np
class vasp:
def __init__(self):
self.name = vasp
##############################################... | MajestyV/VASPWheels | VaspWheels/GetElectronicBands.py | GetElectronicBands.py | py | 17,172 | python | zh | code | 5 | github-code | 1 | [
{
"api_name": "linecache.getline",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "codecs.open",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "re.compile",
"line_numb... |
19595095260 | from django.forms import ModelForm
from product.models import Product
from django import forms
class ProductForm(ModelForm):
class Meta:
model = Product
exclude = ["modified", "created"]
def __init__(self, **kwargs):
super().__init__(**kwargs)
ignore_fields = ["image"]
... | mbijou92/erp | gallery_backend/forms.py | forms.py | py | 606 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.forms.ModelForm",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "product.models.Product",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.forms.Form",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "dj... |
34541456179 | import praw
import gspread
from oauth2client.service_account import ServiceAccountCredentials
import bmemcached
import re
import time
import os
import json
import threading
ARTIST_COL = 0
ALBUM_COL = 1
SCORE_COL = 2
SUBREDDITS = 'fantanoforever+hiphopheads'
COMMAND = re.compile('!fantanobot (.*)', re.IGNORECASE)
U... | itsjackgardner/FantanoBot | responder.py | responder.py | py | 5,602 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "re.compile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.IGNORECASE",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "oauth2client.service_account.ServiceAccountCredentials.from_json_keyfile_dict",
"line_number": 25,
"usage_t... |
10867699789 | import numpy as np
import pandas as pd
from matplotlib import pyplot as plt
from sklearn.cluster import KMeans
df = pd.read_csv('dataset.csv')
X = np.array(df)
c_x = np.array([0.1,0.3])
c_y = np.array([0.6,0.2])
centroids = np.array(list(zip(c_x,c_y)))
print(centroids)
model = KMeans()
model.fit(X, centroids)
pl... | yogeshwarram/LP3-2 | Kmeans.py | Kmeans.py | py | 491 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pandas.read_csv",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number"... |
11344865437 | from itertools import permutations
import math
# ์์ ํ๋ณ ํจ์
def is_prime_number(x):
if x < 2:
return False
for i in range(2, int(math.sqrt(x)) + 1):
if x % i == 0:
return False
return True
def solution(numbers):
answer = set()
for length in range(1, len(numbers) + 1):
... | CHOJUNGHO96/algorithm | ํ๋ก๊ทธ๋๋จธ์ค_๊ณ ๋์ kit/์์ ํ์/2๋จ๊ณ_์์์ฐพ๊ธฐ2.py | 2๋จ๊ณ_์์์ฐพ๊ธฐ2.py | py | 560 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "math.sqrt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "itertools.permutations",
"line_number": 17,
"usage_type": "call"
}
] |
36390024180 | import os
import numpy as np
import torch
import torch.utils.data as data
from torch.utils.tensorboard import SummaryWriter
from torchvision import transforms
from tqdm.notebook import tqdm
from dataset import MolecularDataset
from pointnet import PointNetCls
writer = SummaryWriter()
# hyper parameters
LR = 0.001... | HeatEnergists/PointNet | regression/train.py | train.py | py | 3,150 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "torch.utils.tensorboard.SummaryWriter",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "dataset.MolecularDataset",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.ToTensor",
"line_number": 23,
"usage_type": "call"
... |
36571795647 | from flask import jsonify, request
from flask_restful import Resource
from Model import db, VistorLevel, LevelOptionsSchema, Level2OptionsSchema, Vistor, LocationOptionSchema
from webargs import fields, validate
from webargs.flaskparser import use_args, use_kwargs, parser, abort
level_schema = LevelOptionsSchema
leve... | donc310/WidgetApi | resources/Levels.py | Levels.py | py | 1,692 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "Model.LevelOptionsSchema",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "Model.LevelOptionsSchema",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "Model.Level2OptionsSchema",
"line_number": 11,
"usage_type": "name"
},
{
"api_nam... |
33520509892 | import os
import sys
import time
import pytest
def test_modules():
topdir = os.path.dirname(__file__)
for dirpath, _, filenames in os.walk(topdir):
for fname in filenames:
if _is_test_module(fname):
yield os.path.join(dirpath, fname)
def _is_test_module(fname):
return... | robotframework/RIDE | utest/time_tests.py | time_tests.py | py | 1,321 | python | en | code | 910 | github-code | 1 | [
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.walk",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 1... |
6908770297 | import json
from django.http import HttpResponse
from django.shortcuts import render
from django.template.loader import render_to_string
from django.views.decorators.csrf import csrf_exempt
from django.views.generic.base import View
from hipsterboard.board.models import Player
from hipsterboard.board.models import It... | Olivia5k/hipsterboard | hipsterboard/board/views.py | views.py | py | 1,530 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "django.views.generic.base.View",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "hipsterboard.board.models.Player.objects.all",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "hipsterboard.board.models.Player.objects",
"line_number": 16,
... |
26355834775 | import json, os, platform, subprocess, sys, time
from datetime import datetime, timedelta
from operator import itemgetter
isPy3 = True
try:
from colorama import init
init()
except ImportError as e:
pass
scripts_lib_path = os.path.join(os.path.dirname(__file__), "lib")
this_platform_system = str(platform... | pgEdge/nodectl | cli/scripts/api.py | api.py | py | 20,709 | python | en | code | 7 | github-code | 1 | [
{
"api_name": "colorama.init",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_n... |
33310802794 | # Command tool to view system statisitics
from commands import Command
import psutil
import math
def convert_size(size_bytes):
"""Converts a number of bytes to its respective unit such as GB or MB"""
if size_bytes == 0:
return "0B"
size_name = ("B", "KB", "MB", "GB", "TB", "PB", "EB", "ZB", "YB")
i ... | grqphical07/Phosphate | commands/stats.py | stats.py | py | 2,047 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "math.floor",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "math.pow",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "commands.Command",
"line_number": 16... |
75249726112 |
# coding: utf-8
# In[4]:
import sys
get_ipython().system('{sys.executable} -m pip install tweepy')
#Import the necessary methods from tweepy library
from tweepy.streaming import StreamListener
from tweepy import OAuthHandler
from tweepy import Stream
#Variables that contains the user credentials to access Twitter... | hameedmf/news_app | TwitterExtraction.py | TwitterExtraction.py | py | 1,245 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "tweepy.streaming.StreamListener",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "tweepy.OAuthHandler",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "tweepy.Stream",
"line_number": 39,
"usage_type": "call"
}
] |
72799954595 | import unittest
from django.contrib.auth.models import User
from django_reputation.models import (Reputation, ReputationAction, UserReputationAction,
Permission, ReputationContent)
import django_reputation.config as config
from django_reputation.decorators import ReputationRequire... | genghisu/eruditio | eruditio/shared_apps/django_reputation/tests.py | tests.py | py | 6,802 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "unittest.TestCase",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.auth.models.User.objects.create_user",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.models.User.objects",
"line_number": 14,
"... |
13734252379 | # -*- coding: utf-8 -*-
from django.db import models, migrations
import accounts.models
from django.conf import settings
class Migration(migrations.Migration):
dependencies = [
('base', '0001_initial'),
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
... | domino14/Webolith | djAerolith/accounts/migrations/0001_initial.py | 0001_initial.py | py | 1,684 | python | en | code | 32 | github-code | 1 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.swappable_dependency",
"line_number": 13,
"usage_type": "call... |
39884501056 | """Flame graph module."""
import inspect
import runpy
import signal
import time
from collections import defaultdict
from vprof import base_profiler
_SAMPLE_INTERVAL = 0.001
class _StatProfiler:
"""Statistical profiler.
Samples call stack at regular intervals specified by _SAMPLE_INTERVAL.
"""
def ... | nvdv/vprof | vprof/flame_graph.py | flame_graph.py | py | 6,376 | python | en | code | 3,934 | github-code | 1 | [
{
"api_name": "collections.defaultdict",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "signal.signal",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "signal.SIGPROF",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "signal.seti... |
20248326794 | import os
import h3.api.numpy_int as h3
import numpy as np
from scipy import stats
from grids_toolbox import H3Grids
from indicator_toolbox import Indicator, dist_unit_converter
class ProximityIndicator(Indicator):
def __init__(self, H3, name='proximity', Table=None):
super().__init__(H3, name, Table)
... | csl-hcmc/SaiGon-Peninsula | Software/L3_SZ_CityScope-cw_dev/backend/proximity_indicator.py | proximity_indicator.py | py | 8,841 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "indicator_toolbox.Indicator",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "h3.api.numpy_int.h3_to_geo",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "h3.api.numpy_int",
"line_number": 19,
"usage_type": "name"
},
{
"api_name":... |
43513717152 | # Get light values from ESP32 at regular intervals and store in tLightValues
import mysql.connector
import logging
import requests
import time
from datetime import datetime
# Set up logging
logging.basicConfig(filename="/home/jkumar/Projects/logs/lightTracker/lightTracker.log", level=logging.INFO,format="%(asctime)s... | jitadityakumar/home-automation | lightTracker/python/getLightValues.py | getLightValues.py | py | 3,301 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.info",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.info",
... |
17418906876 | import collections
import math
class Graph:
''' graph class inspired by https://gist.github.com/econchick/4666413
'''
def __init__(self):
self.vertices = set()
# makes the default value for all vertices an empty list
self.edges = collections.defaultdict(list)
self.weights... | nzavarinsky/Algorhitms | LABA4(dijkstra-algo)/dijkstra-v2.py | dijkstra-v2.py | py | 2,905 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "collections.defaultdict",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "math.inf",
"line_number": 37,
"usage_type": "attribute"
}
] |
21429960495 | import os
import mock
import yaml
import unittest
import tempfile
from pathlib import Path
import setuppath
from ops.testing import Harness
from src.charm import AlgorandCharm
class BaseTestAlgoCharm(unittest.TestCase):
@classmethod
def setUpClass(cls):
"""Setup class fixture."""
# Setup a ... | ZestBloom/charm-algorand-node | tests/unit/unittest_base.py | unittest_base.py | py | 3,335 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "unittest.TestCase",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "tempfile.TemporaryDirectory",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.pa... |
14851062460 | import os
import sys
import numpy as np
import cv2 as cv
import matplotlib.pyplot as plt
def homography_function(x, y, H): # x&y-> N-by-1, H-> 3-by-3, return-> (N-by-1,N-by-1)
D = (H[2,0] * x + H[2,1] * y + 1)
xs = (H[0,0] * x + H[0,1] * y + H[0,2]) / D
ys = (H[1,0] * x + H[1,1] * y + H[1,2]) / D
return xs, ... | burakkunkcu/image-stitching | image-stitching.py | image-stitching.py | py | 12,882 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "numpy.shape",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "numpy.vstack",
"line_number":... |
23164289569 | from pathlib import Path
from math import ceil, log2
from progress.bar import Bar
import numpy as np
import pandas as pd
import rasterio
from rasterio.windows import get_data_window
import geopandas as gp
import shapely
from analysis.constants import INDICATORS, CORRIDORS
from analysis.lib.raster import write_raster... | astutespruce/secas-blueprint | analysis/prep/tiles/encode_pixel_layers.py | encode_pixel_layers.py | py | 6,876 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pathlib.Path",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "analysis.constants.INDICATORS",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "pandas.DataFr... |
26647008274 | from newspaper import Article
from splitText import SplitText
from summarizer import Summarizer
from summarizingFuncs import naiveTextRank
TEST_ARTICLE = "http://www.lefigaro.fr/vie-bureau/2017/10/06/09008-20171006ARTFIG00032-japon-une-journaliste-meurt-apres-159-heures-sup-en-un-mois.php"
TEST_ARTICLE2 = "http://www.l... | AelHenri/TLDR-bot | TLDR/main.py | main.py | py | 784 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "newspaper.Article",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "splitText.SplitText",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "summarizer.Summarizer",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "summarizi... |
42373937252 | import itertools as it
from functools import reduce
import numpy as np
from qiskit import QuantumCircuit
from libbench.ibm import Job as IBMJob
class IBMSchroedingerMicroscopeJob(IBMJob):
@staticmethod
def job_factory(
num_post_selections, num_pixels, num_shots, xmin, xmax, ymin, ymax, add_measureme... | rumschuettel/quantum-benchmarks | benchmarks/Schroedinger-Microscope/ibm/job.py | job.py | py | 2,226 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "libbench.ibm.Job",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.linspace",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "itertools.product",
... |
3294429630 | import time
from matplotlib import pyplot as plt
from util import make_random
import algorithms
class Config:
SORTING_ALGORITHMS = algorithms.__all__
# SORTING_ALGORITHMS = [algorithms.bubble_sort, algorithms.insertion_sort, algorithms.selection_sort, algorithms.merge_sort, algorithms.quick_sort]
NUM_RA... | michael-lesirge/intermediate-programming-class | sorting/time_complexity_graph.py | time_complexity_graph.py | py | 1,565 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "algorithms.__all__",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "util.make_random",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "time.perf_c... |
15749350207 | from pymongo import MongoClient
import pandas as pd
client = MongoClient()
db = client['Capstone']
parcels = db["ParcelsWithVariables"]
def TransformData(Xin):
X = Xin
# Do a one-hot encoding of the nhood ids into seperate variables
# to prevent them being treated numerically when they are categorical
nhood = pd.... | IvoDonev/DSCapstone | GetTrainingData.py | GetTrainingData.py | py | 1,401 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pandas.get_dummies",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pandas.get_dummie... |
71312255075 | from PyQt6.QtWidgets import QDialog, QPushButton, QLineEdit, QRadioButton, QComboBox, QListWidget, QFileDialog, QMessageBox
from PyQt6 import uic
import sys
import time
import os
from absPath import resource_path
from LMSdataBackend import schoolClass_CRUD
from LMSdataBackend import gradeJHS_CRUD
from LMSdataBackend i... | jpcanas/School_LMSv2 | LMS_v2.1/LMSUiFrontend/cardExportWindow.py | cardExportWindow.py | py | 4,799 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "PyQt6.QtWidgets.QDialog",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "PyQt6.uic.loadUi",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PyQt6.uic",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "absPath.resource_p... |
75267266272 | from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import ImageGrid
import numpy as np
import os
import tensorflow as tf
from model import Unrolled_GAN
from data_utils import Processor
flags = tf.ap... | gokul-uf/TF-Unrolled-GAN | main.py | main.py | py | 4,491 | python | en | code | 5 | github-code | 1 | [
{
"api_name": "tensorflow.app",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.logging.set_verbosity",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "tensorflow.logging",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_... |
21531841556 | import pandas as pd
from joblib import dump, load
from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier, AdaBoostClassifier, VotingClassifier
from sklearn.neural_network import MLPClassifier
from sklearn.linear_model import SGDClassifier
from sklearn.metrics import f1_score
from utils import l... | daniel-yehezkel/DS.DPA.HW1 | train.py | train.py | py | 1,254 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "utils.load_folder",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pandas.concat",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "sklearn.ensemble.Random... |
8702400345 | import streamlit as st
import altair as alt
import inspect
from vega_datasets import data
@st.experimental_memo
def get_chart_72043(use_container_width: bool):
import altair as alt
import pandas as pd
import numpy as np
np.random.seed(1)
source = pd.DataFrame({
'x': np.arange(100)... | streamlit/release-demos | 1.16.0/demo_app_altair/pages/71_Scatter_With_Loess.py | 71_Scatter_With_Loess.py | py | 1,216 | python | en | code | 78 | github-code | 1 | [
{
"api_name": "numpy.random.seed",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "pandas.DataFrame",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
... |
31765432845 | import cv2
import time
class Camera():
def __init__(self):
self.capture = cv2.VideoCapture('resource/capture.mp4')
# cv2.namedWindow('test')
def get_image(self, t):
t=1000
ret = self.capture.set(cv2.CAP_PROP_POS_FRAMES, t)
ret, frame = self.capture.read()
if ret ... | cande-cansat/SatSAT | SocketTest/satellite_camera.py | satellite_camera.py | py | 568 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "cv2.CAP_PROP_POS_FRAMES",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_B... |
11371082097 | #!/usr/bin/env python
from collections import OrderedDict
import rows
class BrazilianMoneyField(rows.fields.DecimalField):
"""Parser for money in Brazilian notation
"1.234,56" -> Decimal("1234.56")
"""
@classmethod
def deserialize(cls, value):
value = (value or "").replace(".", "").repl... | julianyraiol/portal_transparencia_am | antigo/pdf_parser.py | pdf_parser.py | py | 2,419 | python | en | code | 4 | github-code | 1 | [
{
"api_name": "rows.fields",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "collections.OrderedDict",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "rows.fields",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "rows.fields"... |
28917567329 | import healpy as hp
from astropy import units as u
from astropy.coordinates import SkyCoord
from numpy import *
import numpy as np
import matplotlib.pyplot as plt
import healpy as hp
from astropy.io import fits
with fits.open('gsm_182mhz_Jysr_nomono_nogalaxy_2048.fits') as hdu:
data = hdu[0].data
with fits.open('... | nicholebarry/gar_scripts | woden_scripts/temp_plotter.py | temp_plotter.py | py | 3,024 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "astropy.io.fits.open",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "astropy.io.fits",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "astropy.io.fits.open",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "astropy.io.... |
72198180835 | from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
from sklearn import preprocessing
from sklearn.neighbors import NearestCentroid
def cv2NN(X_train, X_test, y_train, y_test, kneighbors, metric ='euclidean', scalling = Fals... | karmelowsky/AcuteInflammations | myFunctions.py | myFunctions.py | py | 1,517 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sklearn.preprocessing.minmax_scale",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sklearn.neighbors.KNeighborsClassifier",
"line_number": 13,
"usage_type": "call"... |
26579217754 | # Data Sonification Project - LITR 0110D
import csv
from datetime import datetime
from miditime.miditime import MIDITime
from scipy import stats
import math
# instantiate the MITITime class with tempo 120 and 5sec/year
mymidi = MIDITime(120, 'data_sonfication.mid', 1, 5, 1)
# load in climate data as dictionary
climat... | pattwm16/climate_sonification | data_sonification.py | data_sonification.py | py | 2,655 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "miditime.miditime.MIDITime",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "datet... |
8125849858 | #!/usr/bin/env python
"""Apply a threshold to an image for background subtraction."""
__author__ = "Anas Abou Allaban"
__maintainer__ = "Anas Abou Allaban"
__email__ = "anas@abouallaban.info"
import cv2
import numpy as np
def printImage(image):
cv2.imshow('Test', image)
cv2.waitKey(0)
cv2.de... | piraka9011/EECE5550_MobileRobotics | mobile_robotics_utilities/scripts/threshold_image.py | threshold_image.py | py | 1,348 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "cv2.imshow",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.destroyAllWindows",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_n... |
25833334472 | #!/usr/bin/python3
import sys, os
from PIL import Image
#import tinify
#tinify.key = "bjRHvxqtkW0Lw3vIVMUc2-aM-kxMfYln"
origin_file = sys.argv[1]
dst_path = str(os.path.dirname(origin_file)) + '/p_i/'
base_name = str(os.path.basename(origin_file))
file_name, file_extension = os.path.splitext(base_name)
print( ... | mijkenator/muploader | tinify/tf_mbd180.py | tf_mbd180.py | py | 1,043 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_... |
2129904597 | #!/usr/bin/env python3
import sys
from heapq import nlargest
import json
from math import *
ratings = {}
rest = {}
visited = []
#function jaccard
#calculate the similarity index between two teammated by their ID's
#parameters- ratings, id1, id2
#ratings - the dictionary of ratings that got established in init()
#id... | dgeorge10/suitable-puzzles | recommendation/solution.py | solution.py | py | 6,538 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "json.load",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "heapq.nlargest",
"line_number": 114... |
18468558231 | import numpy as np
import pylab as pl
from sklearn import mixture
np.random.seed(0)
#C1 = np.array([[3, -2.7], [1.5, 2.7]])
#C2 = np.array([[1, 2.0], [-1.5, 1.7]])
#
#X_train = np.r_[
# np.random.multivariate_normal((-7, -7), C1, size=7),
# np.random.multivariate_normal((7, 7), C2, size=7),
#]
X_train = np.r_[
... | sum-coderepo/Optimization-Python | Assignments_SMAI/BayesianClassifier.py | BayesianClassifier.py | py | 1,043 | python | en | code | 2 | github-code | 1 | [
{
"api_name": "numpy.random.seed",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "numpy.r_",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.array",
"li... |
24870806650 | #!/usr/bin/env python3
import lib.exitcode
import lib.utilities as utilities
import os
import shutil
import sys
from lib.database import Database
from lib.database_lib.config import Config
from lib.lorisgetopt import LorisGetOpt
__license__ = 'GPLv3'
def main():
usage = (
"\n"
"***************... | aces/Loris-MRI | tools/correct_blake2b_and_md5_hashes_in_database.py | correct_blake2b_and_md5_hashes_in_database.py | py | 18,913 | python | en | code | 10 | github-code | 1 | [
{
"api_name": "lib.lorisgetopt.LorisGetOpt",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 50,
"usage_type": "attribute"
},
{
"api_name": "lib.databas... |
72340313954 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('portfolios', '0002_auto_20170514_1729'),
]
operations = [
migrations.AlterField(
model_name='portfolioprovider',... | zakvan2022/Betasmartz | portfolios/migrations/0003_auto_20170519_0144.py | 0003_auto_20170519_0144.py | py | 469 | python | en | code | 1 | github-code | 1 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
43495756114 | import numpy as np
from numpy import ndarray
from classes.utils import r2oos
from classes.data_loader import DataLoader
from sklearn.linear_model import ElasticNet
from sklearn.model_selection import GridSearchCV
class ElasticNet_Model(object):
def __init__(self, data_loader: DataLoader, alpha: float = 1.0, l1_r... | Sho-Shoo/36490-F23-Group1 | classes/elasticNet_model.py | elasticNet_model.py | py | 4,506 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "classes.data_loader.DataLoader",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.zeros",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
... |
18794965698 | import os
import sys
import transaction
import json
from pyramid.paster import (
get_appsettings,
setup_logging,
)
from pyramid.scripts.common import parse_vars
from ..models.meta import Base
from ..models import (
get_engine,
get_session_factory,
get_tm_session,
)
from ..models import S... | alko89/cryptodokladi | cryptodokladi/scripts/initializedb.py | initializedb.py | py | 2,872 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "os.path.basename",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": ... |
40061188327 | # https://www.acmicpc.net/problem/18352
# N๊ฐ์ ๋์, M๊ฐ์ ๋๋ก
# ๋ชจ๋ ๋๋ก์ ๊ฑฐ๋ฆฌ 1
# ํน์ ๋์ X๋ฅด ๋ถํฐ ์ถ๋ฐํ์ฌ ๋๋ฌํ ์ ์๋ ๋ชจ๋ ๋์ ์ค์ ์ต๋จ ๊ฑฐ๋ฆฌ๊ฐ K์ธ ๋์ ๋ฒํธ ์ถ๋ ฅ
import sys
from collections import defaultdict
from collections import deque
def BFS(X):
qu = deque()
qu.append(X)
dist[X] = 0
while qu:
node = qu.popleft()
f... | hyein99/Algorithm_python_for_coding_test | Part3/ch13_DFS BFS ๋ฌธ์ /15_ํน์ ๊ฑฐ๋ฆฌ์ ๋์ ์ฐพ๊ธฐ.py | 15_ํน์ ๊ฑฐ๋ฆฌ์ ๋์ ์ฐพ๊ธฐ.py | py | 999 | python | ko | code | 0 | github-code | 1 | [
{
"api_name": "collections.deque",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.stdin.readline",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "collections.defau... |
4966009254 | from gtts import gTTS
from playsound import playsound
import os
import queue
import threading
import logging
logging.basicConfig(level=logging.INFO)
class AudioPlayer:
def __init__(self):
self.audio_queue = queue.Queue()
def play_audio(self, file_path):
"""
Play the audio and signal ... | TheoTime01/ChatMoov | text_to_speech/text_to_speech.py | text_to_speech.py | py | 2,681 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "logging.basicConfig",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "queue.Queue",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "playsound.playsound",... |
17684234926 | # -*- coding: utf-8 -*-
"""
Created on Thu Jan 5 17:12:07 2017
@author: Aniket
"""
import gym
import universe
import random
def determine_turn(turn, observation_n, j, total_sum, prev_total_sum, reward_n):
if(j>=15):
if(total_sum/j) == 0:
turn = True
else:
turn = Fals... | aniketparsewar/Machine-Learning | OpenAI_Universe.py | OpenAI_Universe.py | py | 1,961 | python | en | code | 0 | github-code | 1 | [
{
"api_name": "gym.make",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 63,
"usage_type": "call"
}
] |
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