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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
498760756 | # -*- coding: utf-8 -*-
"""Soft Margin SVM classification with kernels for machine learning.
Soft margin SVM is basically an SVM (see folder **supportVectorMachine**) which
has some 'slack' and allows features to be 'wrongly' classified to avoid
overfitting the classifier. This also includes kernels. Kernels use the i... | null | Classification/KernelSVM/howItWorksSoftMarginSVM.py | howItWorksSoftMarginSVM.py | py | 9,187 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.dot",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.dot",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "numpy.linalg.norm",
"line_number": ... |
276716149 | '''
Implementation of the Robust Random Cut Forest Algorithm for anomaly detection by Guha et al. (2016).
S. Guha, N. Mishra, G. Roy, & O. Schrijvers. Robust random cut forest based anomaly
detection on streams, in Proceedings of the 33rd International conference on machine
learning, New York, NY, 2016 (pp. 2712-2721)... | null | Streaming-Anomaly-Detection/manatee/robust_rcf.py | robust_rcf.py | py | 12,471 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.preprocessing.scale",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 66,
"usage_type": "name"
},
{
"api_name": "numpy.random.choice",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": ... |
55844012 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# --------------------------------------------------------
# hcmgis_library - hcmgis operation functions
# --------------------------------------------------------
import io
import re
import csv
import sys
import time
import locale
import random
#import urllib2
import ... | null | hcmgis_library.py | hcmgis_library.py | py | 57,302 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.utils.quote",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "requests.utils",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "qgis.core.utils.iface.addRasterLayer",
"line_number": 70,
"usage_type": "call"
},
{
"api... |
640376976 | # Add Jekyll Frontmatter to a markdown files
from pathlib import Path
import re
paths = Path('.').glob('*.md')
for path in paths:
# because path is object not string
path_in_str = str(path)
# Do thing with the path
print(path_in_str)
with open(path_in_str,'r') as f:
content = f.read()
... | null | add_frontmatter.py | add_frontmatter.py | py | 821 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pathlib.Path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 19,
"usage_type": "call"
}
] |
641779750 | import unittest
import time
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import ... | null | tests/booking_test_Chrome.py | booking_test_Chrome.py | py | 11,326 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 18,
"usage_type": "call"
},
{
... |
298928161 | from setuptools import setup, find_packages
from distutils.extension import Extension
import numpy
USE_CYTHON = True
try:
from Cython.Build import cythonize
except Exception:
USE_CYTHON = False
ext = '.pyx' if USE_CYTHON else '.c'
extensions = [Extension("tmhmm.hmm", ["tmhmm/hmm" + ext], include_dirs = [nu... | null | setup.py | setup.py | py | 842 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "distutils.extension.Extension",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.get_include",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "Cython.Build.cythonize",
"line_number": 18,
"usage_type": "call"
},
{
"api_name":... |
36378332 | import os
import pickle
import importlib
import numpy as np
import pandas as pd
from sklearn.metrics.pairwise import cosine_similarity
from ckiptagger import data_utils, construct_dictionary, WS
from config import MODULE_DIR
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
# MODULE_DIR = os.getcwd()
MODEL_DIR = "qa_module/mo... | null | app/modules/qa_module/qa.py | qa.py | py | 2,610 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "config.MODULE_DIR",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "os.path",
"lin... |
597574536 | import numpy as np
import matplotlib.pyplot as plt
import astropy.units as u
from spectral_cube import SpectralCube
from astropy.coordinates import SkyCoord, Angle, SkyOffsetFrame, ICRS, Distance
from astropy.table import Table, hstack, join, Column
from astropy.stats import histogram
from scipy.spatial.distance import... | null | check_SN/check_fidelity.py | check_fidelity.py | py | 3,439 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.arange",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "astropy.table.Table.read",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "astropy.table.Table",... |
377331140 | """Secure_Bank URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-b... | null | internal_user/urls.py | urls.py | py | 1,955 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "django.urls.path",... |
199147906 | import itertools
from . import text_buffer
from . import tok as token
EOF = 'EOF'
EOL = 'EOL'
INTEGER = 'INTEGER'
FLOAT = 'FLOAT'
LITERAL = 'LITERAL'
NAME = 'NAME'
class TokenError(ValueError):
pass
class CalcLexer:
def __init__(self):
self.buffer = text_buffer.TextBuffer()
self.positions = ... | null | smallcalc/calc_lexer.py | calc_lexer.py | py | 2,772 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "itertools.takewhile",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "itertools.takewhile",
"line_number": 47,
"usage_type": "call"
}
] |
463397170 | import os,sys,json
import networkx as nx
import pandas as pd
from tqdm import tqdm
import numpy as np
def use_notebook():
from bokeh.io import output_notebook
output_notebook()
def is_url(x): return type(x)==str and x.strip().startswith('http')
def is_path(x):
return type(x) == str and os.path.exists(x)
... | null | hairball.py | hairball.py | py | 9,032 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "bokeh.io.output_notebook",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "networkx.Graph",
... |
228872024 | # -*- coding: utf-8 -*-
# Authored by: Zuojia Jiang (jiangzuojia@gmail.com)
import importlib
from flask import Flask
def create_app(config='settings/config.py', name=__name__):
app = Flask(name)
app.config.from_pyfile(config)
for path in app.config['INSTALL_APPS']:
info = path.rsplit('.', 1)
... | null | api/__init__.py | __init__.py | py | 496 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "importlib.import_module",
"line_number": 13,
"usage_type": "call"
}
] |
525783435 | import torch
class CNN(torch.nn.Module):
def __init__(self, input_shape, output_shape, alpha, device=torch.device('cuda:0')):
"""[summary]
Args:
input_shape ([type]): Dimension de la imagen, que estara reescalada a 84x84
output_shape ([type]): dimension de la salida
... | null | A2C PPO/libs/cnn.py | cnn.py | py | 1,356 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "torch.device",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "torch.nn.Sequential",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_num... |
282609321 | # -*- coding:utf8 -*-
import urllib
import json
def ltp(text):
url_get_base = "http://api.ltp-cloud.com/analysis/"
args = {
'api_key' : 'I1o081O3m0aX7ixaqVAD7tRZ6JEQiI6jHliJUJcK',
'text' : text,
'pattern' : 'ws',
'format' : 'json'
}
result = urllib.urlopen(url_get_base, ... | null | utils/ltp.py | ltp.py | py | 425 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "urllib.urlopen",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "urllib.urlencode",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 15,
"usage_type": "call"
}
] |
426179274 | from __future__ import print_function, absolute_import, division
from ctypes import *
import sys
import threading
import numpy
from numba import unittest_support as unittest
from numba.compiler import compile_isolated
from numba import jit, types
from .support import MemoryLeakMixin, tag
from .ctypes_usecases import ... | null | pkgs/numba-0.24.0-np110py27_0/lib/python2.7/site-packages/numba/tests/test_ctypes.py | test_ctypes.py | py | 4,289 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "support.MemoryLeakMixin",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "numba.unittest_support.TestCase",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numba.unittest_support",
"line_number": 15,
"usage_type": "name"
},
{
... |
430833555 | # -*- coding: utf-8 -*-
import pandas as pd
import numpy as np
import math
from keras.models import load_model
from tensorflow import set_random_seed
from keras.models import Sequential
from keras.layers import Dense,BatchNormalization
from keras.layers import GRU, Bidirectional, TimeDistributed
from sklearn.preprocess... | null | gru_learn/paper_model/gru_model.py | gru_model.py | py | 5,940 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.seed",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.set_random_seed",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "keras.... |
526012666 | #!/usr/bin/env python
# -*-encoding: utf-8-*-
# t27_2
# перевірка чи є рядок паліндромом через WSGI сервер
import cgi
# тіло HTML сторінки, на якій все буде відбуватись
HTML_PAGE = """<html>
<title>Перевірка, чи є рядок паліндромом</title>
<body>
<h3>Перевірка заданого рядка</h3>
<br>
{}
<br>
<br>
<form method=POST ... | null | dz_others/subject27_norm_web_server/t27_2/t27_2(wsgi).py | t27_2(wsgi).py | py | 2,678 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cgi.FieldStorage",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "wsgiref.simple_server.make_server",
"line_number": 84,
"usage_type": "call"
}
] |
311573153 | #
# Curses example program
#
import string
def message(window, text,row=23):
window.move(row,0)
window.clrtoeol()
window.addstr(row,5,text)
window.refresh()
def sure(win,msg_text):
while 1:
message(win,msg_text)
comm_ch = win.getch()
ans = chr(comm_ch)
if ans ... | null | console/test.py | test.py | py | 2,207 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "string.center",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "curses.initscr",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "curses.noecho",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "curses.cbreak",
"line_... |
276960654 | """
zoom.packages
Provide a simple shorthand way to include external components in projects.
"""
import json
import os
import zoom
default_packages = {
'c3': {
'libs': [
'https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js',
'https://cdnjs.cloudflare.com/ajax/libs... | null | zoom/packages.py | packages.py | py | 2,280 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.isfile",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "json.load",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "zoom.system",
"line_number"... |
83446595 | import logging
logger = logging.getLogger('XiaoQiang')
logger.setLevel(logging.INFO)
ch = logging.StreamHandler()
ch.setLevel(logging.DEBUG)
fh = logging.FileHandler('access.log')
fh.setLevel(logging.CRITICAL)
formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
ch.setFormatter(fo... | null | my_mission/BRUSH/aliexpress_order/localtest/test_logging.py | test_logging.py | py | 556 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG"... |
172374538 | """
CSV
https://janakiev.com/blog/csv-in-python/
https://www.biostars.org/p/357678/
"""
import argparse
import numpy as np
# python3 e4client -u pietromota@hotmail.com -p PietrXXXX! -a -o out
# pega os dados vindos do .csv
from CSV.libEmotionDetection import get_data, addInterrogationEmotion, session_path
raiz_temp... | null | Python/CSV/createEmotionDatabase.py | createEmotionDatabase.py | py | 1,099 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "CSV.libEmotionDetection.session_path",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "CSV.libEmotionDetection.get_data",
"line_number": 26,
"usage_type": "call"
... |
629188795 | from django.contrib.auth.mixins import LoginRequiredMixin
from django.http import HttpResponse, HttpRequest
from django.shortcuts import redirect
from django.urls import reverse
from django.views import View
from main.modules.search import search_algorithm
class BaseView(LoginRequiredMixin, View):
"""
Базовый... | null | main/modules/base.py | base.py | py | 1,577 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.views.View",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "django.http.HttpRequest",
"line_number": 19,
"usage_type": "name"
},
{
... |
530180620 | from django.conf.urls import patterns, url, include
from farmers import views
from rest_framework.routers import DefaultRouter
# Create a router and register our viewsets with it.
router = DefaultRouter()
router.register(r'farmers', views.FarmerViewSet)
router.register(r'users', views.UserViewSet)
router.register(r're... | null | urls.py | urls.py | py | 729 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.routers.DefaultRouter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "farmers.views.FarmerViewSet",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "farmers.views",
"line_number": 7,
"usage_type": "name"
},
{
"... |
353099474 | # coding: utf-8
""" Application of all sites QC mode
We apply the model built from data from all sites. This has to be
run by submission to the LSF queue on the cluster.
This script was generated from an ipython notebook of the same name
then modified into its current form
"""
import sys
import os
im... | null | external_tools/src/main/python/images/qc_apply_all_sites_model.py | qc_apply_all_sites_model.py | py | 9,124 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "qc_helper.parse_model_desc",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "sys.exit"... |
285234030 | import json
from math import fabs
from flask import Flask, render_template, request, jsonify
app = Flask(__name__)
file = open('RU.txt', 'r', encoding='utf-8') # Файл обработанной базы данных (Оставлены только города)
'''
Перенос базы данных из файла в список
'''
cities_list = []
for line in file:
... | null | script.py | script.py | py | 8,683 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "flask.reque... |
453299023 | from random import randint
from django import forms
from django.contrib.auth.forms import UserCreationForm
from django.contrib.auth.models import User
from account.models import HomeworkAssignment, Class, SUBJECTS, Teacher, Student, Parent
class RegistrationForm(UserCreationForm):
first_name = forms.CharField(m... | null | account/forms.py | forms.py | py | 5,293 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.auth.forms.UserCreationForm",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "django.forms.CharField",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "django.forms",
"line_number": 11,
"usage_type": "name"
},
{
"ap... |
461364617 | # -*- coding: utf-8 -*-
"""
Created on Thu Feb 04 18:38:48 2016
@author: lcalvo
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as pl
import operator
#########################################################################
def guarde_Frente_Pareto(pDatos, pTipos, maxX, maxY, pCategX, pCateg... | null | fig/2016-02-19-Graficar Dispersion.py | 2016-02-19-Graficar Dispersion.py | py | 6,893 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.DataFrame",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "operator.itemgetter",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.clf",
"line_number": 89,
"usage_type": "call"
},
{
"api_name": "matplotlib... |
462482380 | from app import app, helpers
from app.forms import SignupForm, UnsubscribeForm, BugReportForm, HolidayPartyTickets, DuesForm, MugsForm
from classes.TextClient import TextClient
from flask import render_template, flash, redirect, request # request added 25 Jun
import logging
import os
import random
import sendgrid
from ... | null | app/views.py | views.py | py | 15,611 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "app.forms.SignupForm",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "app.helpers.get_db_conn_and_cursor",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "app.helpers",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "a... |
13934520 | #!/usr/bin/env python
"""
Plot SWP
That's all folks.
"""
__author__ = "Martin De Kauwe"
__version__ = "1.0 (18.10.2017)"
__email__ = "mdekauwe@gmail.com"
import xarray as xr
import matplotlib.pyplot as plt
import sys
import datetime as dt
import pandas as pd
import numpy as np
from matplotlib.ticker import FixedLoca... | null | plot_hist_psi_leaf.py | plot_hist_psi_leaf.py | py | 12,037 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "glob.glob",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 57,
"usage_type": "attribute"
},
{
"api_name": "numpy.nan",
"line_number": 59... |
31795521 | import sqlite3
class DAO(object):
def __init__(self):
self.dbname = 'database.db'
self.con = sqlite3.connect(self.dbname)
self.cursor = self.con.cursor()
try:
self.con.execute("PRAGMA foreign_keys = 1")
acc_table = """
CREATE TABLE acc_data(
... | null | Expenses/DAO/dao.py | dao.py | py | 3,639 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlite3.connect",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
... |
588768901 | #!/usr/bin/python3
# -*- coding: utf-8 -*-
import numpy as np
import cv2
import argparse
import yaml
import os
import glob
import time
from joblib import Parallel, delayed
from classes.image import Image
def parse_arguments():
""" Simple parser for yml settings file """
params= yaml.load(open("settings.yml")... | null | archv/process.py | process.py | py | 1,795 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "yaml.load",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 35,
... |
493169096 | import numpy as np
from astropy.convolution import Gaussian2DKernel,convolve
class GrismModel:
def poly2ddeg3(x,y,p):
X,Y = np.meshgrid(x,y,copy=True)
Z = p[0] + \
p[1]*X + p[2]*Y + \
p[3]*X**2 + p[4]*X*Y + p[5]*Y**2 + \
p[6]*X**3 + p[7]*(X**2)*Y + p[8]*X*(Y**2) +... | null | build/lib/kbastroutils/grismmodel.py | grismmodel.py | py | 672 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.meshgrid",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "astropy.convolution.Gaussian2DKernel",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "astropy.convolution.convolve",
"line_number": 13,
"usage_type": "call"
},
{
"a... |
176755396 | import matplotlib.pyplot as plt
import commlib as cl
import numpy as np
# Parameters
TS = 1e-9
samples_per_symbol = 20
tinitial = 0
tguard = 10 * TS
f0 = 10 / TS
N0 = 1e-10
B = 3e9
Nbits = 32
# system transfer function
H = lambda f : np.exp( -f**2.0 / f0 ** 2.0 / 2)
# Signal constellation
c = cl.pam_constellation(4,... | null | lecture6/noise.py | noise.py | py | 940 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.exp",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "commlib.pam_constellation",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.close",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotli... |
485745170 | import time
from pynput.mouse import Button, Controller
mouse = Controller()
def Mzlego0():
fbe = open('koordinata.txt', 'r')
for data in fbe:
data = data.strip().split(',')
print(data[0], data[1])
mouse.position = (int(data[0]), int(data[1]))
time.sleep(1)
... | null | grepo sarcer.py | grepo sarcer.py | py | 496 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pynput.mouse.Controller",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pynput.mouse.Button.left",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pynpu... |
604674446 | import glob, os
import time
from PIL import Image
import numpy as np
from scipy import ndimage
import matplotlib.pyplot as plt
from skimage.io import imsave
from skimage import exposure
def load_img_seq(data=None):
if data is not None:
imfiles = sorted([os.path.join(data, f) for f in os.listdir(data) if f... | null | ct-tools/vis.py | vis.py | py | 813 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 1... |
328808388 | """Base GRR module class. GRR modules should extend it."""
from __future__ import print_function
from __future__ import unicode_literals
import abc
import tempfile
import time
from grr_api_client import api as grr_api
from grr_api_client import errors as grr_errors
from dftimewolf.lib import module
class GRRBaseM... | null | dftimewolf/lib/collectors/grr_base.py | grr_base.py | py | 3,683 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dftimewolf.lib.module.BaseModule",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "dftimewolf.lib.module",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "grr_api_client.api.InitHttp",
"line_number": 57,
"usage_type": "call"
},
... |
575914104 | import csv
import copy
import os
import cv2
import numpy as np
#import matplotlib.pyplot as plt
GEN_DIR="gendir"
if os.path.exists(GEN_DIR) == False:
os.mkdir(GEN_DIR)
if os.path.exists(os.path.join(GEN_DIR, "IMG")) == False:
os.mkdir(os.path.join(GEN_DIR, "IMG"))
def read_csv_samples(samples, angles, path,... | null | gen_bak.py | gen_bak.py | py | 4,274 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.exists",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "os.mkdir",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_numbe... |
589607909 | # place additional imports here if needed
import re
from collections import Counter
import csv
def ex1(text, char='-'):
"""
Given a text of arbitrary length, divide the text on the character given and return the resulting list.
E.g., ex1('hi-me') = ['hi', 'me']; ex1('hi-me', char='+') = ['hi-me']; ex1('abc... | null | material/25-10/main.py | main.py | py | 3,737 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.search",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "collections.Counter",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number... |
408721233 | # coding=utf-8
#================================================================
#
# File name : bitwise_not_demo.py
# Author : Faye
# Created date: 2021/6/22 11:14
# Description :
#
#================================================================
import cv2
import numpy as np
# 加载图像
img1 = cv2.imread... | null | base/_06_cv2/_14_bit_operation/bitwise_not_demo.py | bitwise_not_demo.py | py | 1,407 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.imread",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 21... |
371421697 | import pylab
import numpy
import matplotlib.pyplot as plt
time_interval = 3.0/10.0
n_points = 1000;
fig1 = plt.figure()
for i in range(0, 10):
data = numpy.loadtxt(open(str(i) + ".dat", "r"))
u = data[:, 1]
x = data[:, 0]
plt.plot(x, u)
plt.show()
fig1.savefig("u_x1.png")
plt.close()
fig2 = plt.figure()
f... | null | graficador.py | graficador.py | py | 499 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "numpy.loadtxt",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyp... |
38236793 | import discord #nice it seems to have worked fine
import random
import os
client = discord.Client()
users = ["Nicko", "Tarbel", "Matthew", "Aamna", "Dylon"]
who_answers = ["Must be ", "Obviously ", "Gotta be ", "Definitely ", "Eh, probably ", ""]
king = "Couldn't be Sam"
@client.event
async def on_ready():
print... | null | HumbleBeginnings.py | HumbleBeginnings.py | py | 1,293 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "discord.Client",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "discord.Game",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "random.randint",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_n... |
349034318 | import socket
from ssl import PROTOCOL_TLSv1
from OpenSSL import SSL
import pendulum
import requests
import json
import time
def get_domains(cert):
san = ''
ext_count = cert.get_extension_count()
for i in range(0, ext_count):
ext = cert.get_extension(i)
if 'subjectAltNam... | null | src/valdomain.py | valdomain.py | py | 11,303 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pendulum.parse",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "pendulum.parse",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pendulum.now",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "socket.socket",
"line_... |
560805898 | # encoding: utf-8
"""
@author: weijian
@contact: dengwj16@gmail.com
"""
import glob
import re
import os.path as osp
from .bases import BaseImageDataset
class personX_spgan(BaseImageDataset):
"""
personX (source domain): only consains training samples
Dataset statistics:
# identities: 700
# imag... | null | devkit/data/datasets/personX_spgan.py | personX_spgan.py | py | 2,292 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "bases.BaseImageDataset",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_... |
20483939 | #!/usr/bin/python3
"""
This script that starts a Flask web application
"""
from flask import Flask, render_template
from models import storage
from models import *
app = Flask(__name__)
@app.route('/states_list', strict_slashes=False)
def states_list():
"""displays states in HTML page sorted alphabetically"""
... | null | web_flask/7-states_list.py | 7-states_list.py | py | 651 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.storage.all",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "models.storage",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
... |
510101935 |
from tkinter import *
from tkinter import messagebox
from tkinter import scrolledtext
global entqote
global text
import numpy as np
import matplotlib.pyplot as plt
global student_list
global mark_list
global list1
root = Tk()
root.title("Student Management System")
root... | null | sms.py | sms.py | py | 18,241 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cx_Oracle.connect",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "cx_Oracle.DatabaseError",
"line_number": 90,
"usage_type": "attribute"
},
{
"api_name": "cx_Oracle.connect",
"line_number": 128,
"usage_type": "call"
},
{
"api_name": "tki... |
518222516 | import random
import bpy
class User:
requirePassword = True
maxUsers = 1000 #not used
usersList = []
def __init__(self, name, id_num, DOB):
self.name = name
self.id_num = id_num
self.DOB = DOB
self.usersList.append(self)
def showUserByPosition(posit... | null | User Management System Project in Python/testing.py | testing.py | py | 1,844 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "random.randrange",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "bpy.ops.object.select_all",
"line_number": 71,
"usage_type": "call"
},
{
"api_name": "bpy.ops",
"line_number": 71,
"usage_type": "attribute"
},
{
"api_name": "bpy.data",
... |
105246974 | #!/usr/bin/env python3
import argparse
# import glob
# import itertools
import math
import multiprocessing
import os
# import sys
from pathlib import Path
from typing import Iterable
import numpy as np
import pandas as pd
from astropy import constants as const
from astropy import units as u
import artistools as at
i... | null | artistools/lightcurve.py | lightcurve.py | py | 66,215 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.get_cmap",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.re... |
232221638 | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | null | python/signature/public_key_verify_key_manager_test.py | public_key_verify_key_manager_test.py | py | 3,674 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tink.python.tink_config.register",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "tink.python.tink_config",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "tink.proto.ecdsa_pb2.EcdsaParams",
"line_number": 37,
"usage_type": "call"
},
... |
548936124 | #!/usr/bin/env python
#
# Copyright (c) 2017 Amazon.com, Inc. or its affiliates. All Rights
# Reserved.
#
# Additional copyrights may follow
import BuildFiler
import unittest
import logging
import time
import os
import shutil
import tempfile
import errno
import glob
logger = logging.get... | null | nightly-tarball/MockBuildFiler.py | MockBuildFiler.py | py | 6,894 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "BuildFiler.BuildFiler",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "tempfile.mkdte... |
226656765 | import os
import cv2
import numpy as np
import tensorflow as tf
import keras.utils
from keras import backend as kbe
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten, Conv2D, Conv3D, MaxPooling2D, Activation
from keras.optimizers import SGD, Adadelta, Adagrad
from keras.callbacks imp... | null | train_custom_detector.py | train_custom_detector.py | py | 4,190 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "keras.models.Sequential",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "keras.layers.Conv2D",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "keras.layers.Activation",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "k... |
54914941 | # Task 25: Task Manager
# Function: Register new user - requires username and password
# Confirm password and write information to the user.txt file
# Only admin are allow to register new users
def reg_user():
if username == "admin":
print("Register New User")
new_user = input("Please in... | null | Task 25 - task manager.py | Task 25 - task manager.py | py | 11,539 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 211,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 211,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 214,
"usage_type": "call"
},
{
"api_name": ... |
250797419 | import json
import os
import nltk
import pandas as pd
import glob
import argparse
import sys
parser = argparse.ArgumentParser(description='parse out the relevant infor from CSI and output a JSON, a txt, and a meta file')
parser.add_argument('directory', help='directory with input files', type=str)
parser.add_argumen... | null | scripts/CSI2json_and_texts.py | CSI2json_and_texts.py | py | 3,171 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "nltk.data.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "nltk.data",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv... |
643584446 | import numpy as np
import pandas as pd
import dash_bootstrap_components as dbc
from datetime import timedelta, date
from dash.dependencies import Input, Output, State
from dash_project.get_data import all_tickers_data
from .server import app
@app.callback(
Output('corr_table_window_x', 'children'),
[Input('s... | null | dash_project/performance.py | performance.py | py | 8,845 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dash_project.get_data.all_tickers_data.loc",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "dash_project.get_data.all_tickers_data",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "dash_project.get_data.all_tickers_data.loc",
"line_num... |
631622700 | from setuptools import setup, Extension
try:
from Cython.Build import cythonize
except ImportError:
cythonize = None
ext_module = Extension(
'graphique.arrayed',
sources=['graphique/arrayed' + ('.pyx' if cythonize else '.cpp')],
extra_compile_args=['-std=c++11'],
extra_link_args=['-std=c++11']... | null | setup.py | setup.py | py | 1,946 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Cython.Build.cythonize",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "setuptools.Extension",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "Cython.Build.cythonize",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "setu... |
35456379 |
from PyQt5 import QtCore, QtWidgets, uic, QtGui
import os
import sys
import time
class ThreadProgress(QtCore.QThread):
mysignal = QtCore.pyqtSignal(int)
def __init__(self, parent=None):
QtCore.QThread.__init__(self, parent)
def run(self):
i = 0
while i<101:
time.sleep(... | null | combine/gui/splashscreen/photobooth.py | photobooth.py | py | 2,130 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PyQt5.QtCore.QThread",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtCore.pyqtSignal",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtC... |
152571857 | import redis
import time
import re
import json
import os
import subprocess
current_subprocess = None
current_uuid = None
DATA_DIR = os.path.join(os.getenv("HOME"), "musicazoo_videos")
redis = redis.Redis()
def sanitize(ytid):
return re.sub("[^-a-zA-Z0-9_]", "?", ytid)
def path_for(ytid):
return os.path.join(DATA... | null | player.py | player.py | py | 2,279 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.getenv",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "redis.Redis",
"line_number": ... |
250509620 |
# # Self-Driving Car Engineer Nanodegree
# ## Deep Learning - Vehicle detection
## Pipeline and tracker functions that enable vehicle detection
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import numpy as np
import cv2
import glob
import time
from sklearn.preprocessing import StandardScaler
from... | null | source/tracking_pipeline.py | tracking_pipeline.py | py | 16,877 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.copy",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "cv2.rectangle",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_RGB2YCrCb",
"line... |
250879407 | import pandas
import matplotlib
# reads the csv using pandas
df = pandas.read_csv('data.csv')
# selects the two columns that are needed
df = df[['purpose','int_rate']]
# groups the dataframe by the purpose and then gets the mean
df = df.groupby('purpose').mean()
# change the column name
df.columns = ['avg_rate']
# plot... | null | script.py | script.py | py | 483 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.show",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 14,
"usage_type": "attribute"
}
] |
448507714 | from kivy.app import App
from kivy.uix.image import Image
from kivy.properties import ObjectProperty
from kivy.uix.gridlayout import GridLayout
from kivy.core.image import Image as CoreImage
from kivy.uix.behaviors import ButtonBehavior
from kivy.lang import Builder
from mlp.serialization import (
remote_action_app... | null | mlp/widgets/action/action.py | action.py | py | 5,362 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "kivy.lang.Builder.load_file",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "kivy.lang.Builder",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "general.image_button.image_button.ImageButton",
"line_number": 19,
"usage_type": "name"
}... |
343481124 | from collections import defaultdict
import json
import operator
from django.shortcuts import render, get_object_or_404, redirect
from django.db.models import Prefetch, F, Max
from django.conf import settings
from django.contrib.auth import login, logout
from django.contrib.auth.decorators import login_required
from dj... | null | core/views.py | views.py | py | 12,678 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.auth.get_user_model",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.get_object_or_404",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "maps.utils",
"line_number": 29,
"usage_type": "name"
},
{
"... |
496073842 | import datetime
import json
import logging
import dateutil
from django.conf import settings
from django.core.urlresolvers import reverse
from django.utils import html
import pytz
from corehq.apps.reports import util
from corehq.apps.reports.standard import DatespanMixin
from corehq.apps.reports.standard.deployments imp... | null | phonelog/reports.py | reports.py | py | 14,169 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "corehq.apps.reports.standard.deployments.DeploymentsReport",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "corehq.apps.reports.standard.DatespanMixin",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "corehq.apps.reports.standard.deployments.De... |
87559140 | from django.contrib import admin
from django.urls import path,include;
from blog_app import views;
urlpatterns = [
# path('home/',views.home,name="blog_home"),
path('',views.PostListView.as_view(),name="blog_home"),
path('user/<str:username>/',views.UserPostListView.as_view(),name="user_post"),
path('post/<int:pk>/',vi... | null | blog/blog_app/urls.py | urls.py | py | 653 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "blog_app.views.PostListView.as_view",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "blog_app.views.PostListView",
"line_number": 6,
"usage_type": "attribute"
},
{
... |
105890977 | #!/usr/bin/python3
""" 1. FIFO caching
"""
from datetime import datetime
BaseCaching = __import__('base_caching').BaseCaching
class FIFOCache(BaseCaching):
""" BaseCache defines:
- overwrite functions 'put' and 'get' for implement
FIFO caching system
"""
def __init__(self):
""" Initili... | null | 0x03-caching/1-fifo_cache.py | 1-fifo_cache.py | py | 1,540 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 30,
"usage_type": "name"
}
] |
157500181 | import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0.0, 5.0, 50)
y1 = np.sin(x)
y2 = np.cos(x)
plt.subplot(2, 2, 1)
line1, = plt.plot( x, y1, 'ko-', label='cos' )
# ax1.set_ylim([-1, 1])
plt.xlabel('x-axis')
plt.ylabel('y-axis')
plt.legend()
plt.title("cos figure")
plt.subplot(2, 2, 2)
line2, = plt... | null | Mathplot_org.py | Mathplot_org.py | py | 1,676 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.linspace",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "numpy.sin",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.cos",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplot",
"line... |
526160755 | from flask import render_template
from blog import app
from database import session
from models import Post
@app.route('/')
@app.route('/page/<int:page>')
def posts(page=1, paginate_by=10):
# Zero-indexed page
page_index = page - 1
count = session.query(Post).count()
start = page_index * paginate_by
end = star... | null | blog/views.py | views.py | py | 3,766 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "database.session.query",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "models.Post",
"line_number": 13,
"usage_type": "argument"
},
{
"api_name": "database.session",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "database.sess... |
119790789 | from performanceapi.models import Performance
from performanceapi.serializers import PerformanceSerializer
from rest_framework import mixins, status, generics
from rest_framework.response import Response
from django.db import IntegrityError
from datetime import datetime
from rest_framework.decorators import api_view
fr... | null | openmic/performanceapi/views.py | views.py | py | 8,122 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "rest_framework.generics.ListCreateAPIView",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "rest_framework.generics",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "performanceapi.models.Performance.objects.all",
"line_number": 18,
... |
353988592 | from django.urls import path
from quizes_app.views import *
urlpatterns = [
path('quizzes/', QuizListView.as_view(), name='quizzes'),
path('quiz/<int:pk>/', QuizDetailView.as_view(), name='quiz_detail'),
path('answer/<int:pk>/', AnswerView.as_view(), name='answer'),
path('results/<int:pk>/', ResultsVi... | null | quizes_app/urls.py | urls.py | py | 353 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
301110671 | from PIL import Image
def is_pink(img, size, pix, row_num):
for x in range(size[0]):
if pix[x, row_num] == 195: # magenta
return x
return False
def shift_row(size, pix, row_num, pix_shift):
shifted_row = [pix[i, row_num] for i in \
range(pix_shift, size[0]) + range(pi... | null | level16_mozart.py | level16_mozart.py | py | 822 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PIL.Image.open",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 15,
"usage_type": "name"
}
] |
489797035 | import unittest
import config
from PIL import Image
import numpy as np
from keras.preprocessing import image
from pymongo.errors import ServerSelectionTimeoutError
from mongo_datastore import MongoDatastore
from keras.models import load_model
from web_server import app
class TestKerasModel(unittest.TestCase):
def set... | null | unit_tests.py | unit_tests.py | py | 2,255 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "keras.models.load_model",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "config.test_neural_network",
"line_number": 13,
"usage_type": "attribute"
},
{
"ap... |
547400616 | #coding=utf-8
import os
import tensorflow as tf
from PIL import Image
import sys
import pydicom
classification={"others":0,"pneumonia":1}
def creat_tfrecord(df_parsed,is_training=True):
if is_training:
writer = tf.python_io.TFRecordWriter("F:/Datasets/Pneunomia/train_data.tfrecords")
else:
wr... | null | Vision/Python/Applications/Pneumonia/create_tfrecords.py | create_tfrecords.py | py | 1,018 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tensorflow.python_io.TFRecordWriter",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "tensorflow.python_io",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.python_io.TFRecordWriter",
"line_number": 15,
"usage_type": "cal... |
502143068 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Aug 31 15:02:32 2019
@author: eadali
"""
import requests
from bs4 import BeautifulSoup
import pandas
# CONFIGS
# =============================================================================
datapath = 'pages.csv'
# =================================... | null | extract_wiki_data.py | extract_wiki_data.py | py | 2,952 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.DataFrame",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
... |
587419784 | import os, time, unittest
from appium import webdriver
desired_caps = {'platformName': 'Android',
'platformVersion': '8.0.0',
'deviceName': 'a82ccd1d',
# 'app': r'D:\apk\boobuz.apk',
'appPackage': 'com.erlinyou.worldlist',
'appActivity': ... | null | aut/test/test3.py | test3.py | py | 1,633 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "appium.webdriver.Remote",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "appium.webdriver",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
370701186 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
from django import forms
from django.utils.translation import ugettext_lazy as _
from wagtail.wagtailcore.models import Page
from wagtail.wagtailcore.blocks import (
StreamBlock,
CharBlock,
RichTextBlock,
Stru... | null | core/models.py | models.py | py | 2,072 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "wagtail.wagtailcore.blocks.FieldBlock",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "django.forms.ChoiceField",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "django.forms",
"line_number": 29,
"usage_type": "name"
},
{
"api_n... |
143154336 | import numpy as np
import pickle,gzip,sys
import matplotlib.gridspec as gridspec
import matplotlib.pyplot as plt
fig = plt.figure()
gs = gridspec.GridSpec(3, 4)
data = pickle.load(gzip.open('/Users/sanjaykumarp/sptXdes/SCL-sptpol_cluster_lensing/QE/QE_schem_rep.pkl.gz'))
unlen = data['unlensed']*1e6 - np.mean(data['unl... | null | make_plots/get_schematic_qe.py | get_schematic_qe.py | py | 1,095 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "matplotlib.gridspec.GridSpec",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "... |
464666208 | #!/usr/bin/python3
"""Export data in JSON format"""
import json
import requests
from sys import argv
if __name__ == "__main__":
api_url = 'https://jsonplaceholder.typicode.com'
users_url = '{}/users'.format(api_url)
r_users = requests.get(users_url).json()
users_dict = {}
for user in r_users:
... | null | 0x15-api/3-dictionary_of_list_of_dictionaries.py | 3-dictionary_of_list_of_dictionaries.py | py | 910 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 27,
"usage_type": "call"
}
] |
224696446 | # (C) Datadog, Inc. 2020-present
# All rights reserved
# Licensed under Simplified BSD License (see LICENSE)
from datadog_checks.istio import Istio
from . import common
from .utils import _assert_tags_excluded
def test_istiod(aggregator, istiod_mixture_fixture):
"""
Test the istiod deployment endpoint for v1... | null | istio/tests/test_istio_1_5.py | test_istio_1_5.py | py | 2,181 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datadog_checks.istio.Istio",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datadog_checks.istio.Istio",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "utils._assert_tags_excluded",
"line_number": 33,
"usage_type": "call"
},
{
... |
179254239 | import matplotlib.pyplot as plt
import matplotlib.patches as pat
import numpy as np
plt.xkcd()
fig = plt.figure()
plt.xlim((0,2))
plt.ylim((0,2))
ax = fig.add_subplot(111)
ax.set_aspect('equal')
A = pat.Arc(xy = (1.75,1.25), width = 1, height = 1 , theta1 = 90 ,theta2 = 180, linewidth = 20
, edgecolor = '#ffffff')
ax... | null | plot.py | plot.py | py | 505 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.xkcd",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "matplo... |
307907354 | # -*- coding: utf-8 -*-
'''
@Description:
@Version: 1.0.0
@Author: louishsu
@Github: https://github.com/isLouisHsu
@E-mail: is.louishsu@foxmail.com
@Date: 2019-09-03 09:30:51
@LastEditTime: 2019-09-03 09:45:11
@Update:
'''
import torch
from torch import nn
from torch import cuda
from torch.optim import SGD
from torch... | null | src/train.py | train.py | py | 3,913 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.CrossEntropyLoss",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "torch.optim.SGD",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "model.LSTM",
"... |
279101463 | """Unit tests for the route authentication plugin."""
import logging
import unittest
from datetime import datetime, timezone
from unittest.mock import Mock
import bottle
from routes.plugins import AuthPlugin, InjectionPlugin
class AuthPluginTest(unittest.TestCase):
"""Unit tests for the route authentication an... | null | components/server/tests/routes/route_plugins/test_route_auth_plugin.py | test_route_auth_plugin.py | py | 2,955 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "unittest.TestCase",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "logging.disable",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "unittest.mock.Mock",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bottle.inst... |
482143341 | #!/usr/bin/env python3
import argparse
import os
import shlex
import time
from mylast import lastfm_network, lastfm_username
# Show my now playing song, or that of a given username
# Prerequisites: mylast.py, pyLast
def say(thing):
cmd = "say {}".format(shlex.quote(str(thing)))
os.system(cmd)
if __name__ ... | null | np.py | np.py | py | 1,527 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "shlex.quote",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.system",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaul... |
246127282 | import random
from flask import Flask,render_template,Response,redirect,url_for,request
import time
import math
import multiprocessing
from flask import Flask, render_template
from werkzeug.datastructures import CallbackDict, ViewItems
from werkzeug.wrappers import ETagRequestMixin
app = Flask(__name__)
c... | null | Flask/start.py | start.py | py | 20,929 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.redirect",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "flask.url_for",
"line_number": 101,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
... |
248172290 | import os
import KratosMultiphysics
from KratosMultiphysics import Logger
import multiprocessing
def CreateAndRunStageInSelectedNumberOfOpenMPThreads(my_obj, model, parameters_file_name, number_of_threads):
if "OMP_NUM_THREADS" in os.environ:
initial_number_of_threads = os.environ['OMP_NUM_THREADS']
... | null | applications/DEMApplication/tests/auxiliary_functions_for_tests.py | auxiliary_functions_for_tests.py | py | 1,021 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "KratosMultiphysics.ParallelUtilities.SetNumThreads",
"line_number": 10,
"usage_type": "call"
},
{
"... |
152162073 |
# neural network with 5 layers
#
# · · · · · · · · · · (input data, flattened pixels) X [batch, 784] # 784 = 28*28
# \x/x\x/x\x/x\x/x\x/ -- fully connected layer (relu) W1 [784, 200] B1[200]
# · · · · · · · · · Y1 [batch, 200]
# \x/x... | null | 4.0_five_layers_relu_lrdecay_batchnorm.py | 4.0_five_layers_relu_lrdecay_batchnorm.py | py | 5,861 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Module",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "torch.nn.Linear",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_nu... |
368296730 | import gensim
import unicodedata
import pandas as pd
import sys
import csv
import os
import nltk
import io
import string
import re
from sys import exit
import codecs
#Convert train and text
#os.chdir('/Volumes/limoncito/NLP/NER_Spectral/')
context_words = 2
train=io.open("train.txt",'r', encoding = 'utf-8')
evalua... | null | 03_code/Python/Depricated/HPC/02_context_average.py | 02_context_average.py | py | 3,625 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "io.open",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "io.open",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "nltk.data.load",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "nltk.data",
"line_number": 46,
... |
245472772 | import sys
import time
import serial
ser = serial.Serial('/dev/ttyUSB0', 9600)
fp = open('lutron2.csv', 'w', 32)
ser.read(64) # Readout dummy values
while True:
try:
temp = None
hum = None
while True:
if temp != None and hum != None:
break
d = ser.... | null | code-compare-am2301s-mm2001-lutron/lutron2.py | lutron2.py | py | 751 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "serial.Serial",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 27,
"usage_type": "call"
}
] |
521336426 | """
Basics of Matplotlib
Scatter Plot
Line Plot
Pie Chart
Bar Chart
Histogram
Box Plot
"""
import matplotlib.pyplot as plt
x = [1,2,3,4,5,6,7,8,9,10]
y = [1,2,3,4,5,6,7,8,9,10]
# Setting the title
plt.title("A Line Graph")
# Setting the X Label
plt.xlabel("X")
# Setting the Y Label
pl... | null | day11/Day_11_Matplotlib.py | Day_11_Matplotlib.py | py | 9,858 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.title",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.xlabel",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "ma... |
130981340 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# ライブラリのインポート
import boto3
import subprocess
import wave
# 翻訳したい文章(英語)を入力する
print("日本語を入力すると、英語に翻訳して音声合成します。")
input_text = raw_input("入力: > ")
# AWSを使う準備
translate = boto3.client(service_name="translate")
polly = boto3.client(service_name="polly")
# 文章を翻訳
translate_te... | null | aws_sample/translate_speech.py | translate_speech.py | py | 1,423 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "boto3.client",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "wave.open",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "subprocess.check_call",
"line... |
447496552 | # -*- coding: utf-8 -*-
import paramiko,time
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
DIP = raw_input("Please input an IP:")
ssh.connect(str(DIP), 22, "root", "root")
#stdin, stdout, stderr = ssh.exec_command("lsh;configure;run show bfd session")
chan = ssh.invoke_shell()
... | null | script-py/workspace/save_with_input.py | save_with_input.py | py | 573 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "paramiko.SSHClient",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "paramiko.AutoAddPolicy",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "time.strftime",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "time.localtime"... |
591048115 | import numpy as np
import pandas as pd
import yfinance as yf
#reading the code that has the forecasts and then they rename the dataset as date and signal
forecasts = pd.read_csv("sp500_forecasts_new.csv", header = None).rename(columns = {0: 'Date', 1: 'Signal'})
#then we want to reset the index so that it is i... | null | MaurícioCordeiro/step by step ARIMA + GARCH/arima1.py | arima1.py | py | 1,706 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "yfinance.Ticker",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"li... |
350253181 | from django.contrib import admin
from django.http import HttpResponseRedirect
from django.utils.html import format_html
from django.shortcuts import reverse
from django.core.cache import cache
from .models import (Restaurant, Product, RestaurantMenuItem,
ProductCategory,Order,OrderItem)
class O... | null | foodcartapp/admin.py | admin.py | py | 3,328 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.contrib.admin.TabularInline",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "models.OrderItem",
"line_number": 13,
"usage_type": "name"
},
{
"api... |
647169356 | from django.shortcuts import render
from .forms import RoundForm
from .forms import FightForm
from .models import Round
from .models import Fight
from .models import Game
from users.models import CustomUser
from datetime import datetime
# Create your views here.
def create_fight_view(request):
form = FightForm(re... | null | games/views.py | views.py | py | 5,825 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "forms.FightForm",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "forms.FightForm",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "models.Fight.... |
498201833 | import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
import re
from sklearn.decomposition import TruncatedSVD
from sklearn.preprocessing import LabelEncoder
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
sns.set(style="ticks", color_codes=True)
def readData(textfile... | null | Assignment 6/PCA.py | PCA.py | py | 1,421 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "seaborn.set",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 23,
"us... |
587443227 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('tinder', '0005_comment_moment'),
]
operations = [
migrations.RemoveField(
model_name='moment',
name=... | null | flint/tinder/migrations/0006_auto_20150708_1313.py | 0006_auto_20150708_1313.py | py | 729 | python | en | code | null | code-starcoder2 | 66 | [
{
"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.RemoveField",
"line_number": 14,
"usage_type": "call"
},
... |
176932389 | # Imports
import numpy as np
import os
import argparse
import tensorflow as tf
from cnn_models import CNN_Model
cnn_model = CNN_Model #which model to use
import cv2
from data_processing.audio_to_image import convertWav
#DEBUG, INFO, WARN, ERROR, or FATAL
tf.logging.set_verbosity(tf.logging.WARN)
#Argument parsing
par... | null | predict_cnn.py | predict_cnn.py | py | 1,740 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cnn_models.CNN_Model",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "tensorflow.logging.set_verbosity",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.logging",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_... |
571358811 | import argparse
def flag(N):
japanese_flag = ''
try:
if type(N) is int and not (N % 2) and N > 0: # check is it integer (just in case), is it even, is it positive
...
else:
raise argparse.ArgumentError(N_args, 'Invalid argument N!\n')
except argparse.Argu... | null | flag.py | flag.py | py | 1,445 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentError",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentError",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 29,
"usage_type": "call"
}
] |
171354963 | from __future__ import print_function
import sys
from operator import add
from pyspark import SparkContext
from csv import reader
def formatter(line):
k = line[0]
v1 = str(line[1][0])
v2 = str(line[1][1])
v3 = str(line[1][2])
v4 = str(line[1][3])
return k + " " + v1 + ", " + v2 + ", " + v3 ... | null | hw2/hw2/task1.py | task1.py | py | 980 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.argv",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "sys.stderr",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "pyspark.SparkContext",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"li... |
89226329 | import pandas as pd
import numpy as np
import win32com.client as win32
import psutil
import subprocess
import os
import sys
import re
sys.path.append(os.path.join('..', '..'))
OPATH = "C:/Users/Hakucho.Nin/Documents/GitHub/CBRE/self_search/auto_match_indus"
PRO = "pro_list.csv"
CLIENT = "client_list.csv"
... | null | athome/athome_mail.py | athome_mail.py | py | 2,371 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
230760674 | import requests
from lxml import etree
import re
import time
import random
''' 获取手机壁纸 '''
headers = {
"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.83 Safari/537.36"
}
def getnum(i):
global r... | null | wallpaper_downloader.py | wallpaper_downloader.py | py | 1,014 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "re.findall",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 24... |
480141270 | from .set_of_molecules import SetOfMolecules, SubsetOfMolecules
from .control_existing import control_existing_files
from .calculation import write_charges_to_file
from .comparison import Comparison
from .molecule import MoleculeChg
from importlib import import_module
from termcolor import colored
from scipy.optimize i... | null | modules/parameterization.py | parameterization.py | py | 12,830 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scipy.optimize.minimize",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "git.Repo",
"line_number": 70,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "datetime.datet... |
252430230 | import numpy as np
import matplotlib.pyplot as plt
import cv2
from calibration import undistort, calibrate_camera
from binarization import convert_to_binary
from perspective import convert_to_birdeye
from projection import final_image_projections
from finding_lines import Line, from_sliding_windows, compute_offset, ble... | null | lanes-advanced/main.py | main.py | py | 2,732 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "finding_lines.Line",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "finding_lines.Line",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "calibration.undistort",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "binarizat... |
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