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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
507594701 | import quandl
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
#from alpha_vantage.timeseries import TimeSeries
#import AVdataformatter as tf
#import AVapikeys as rkey
import seaborn as sns
'''
ts = TimeSeries(key=rkey.get_AV_key(), output_format='pandas')
aapl, meta_data = ts.get_da... | null | PycharmProjects/Python Scripts/portfolio_optimization_code_along.py | portfolio_optimization_code_along.py | py | 4,695 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
... |
503862673 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('catalog', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='shoes',
name='decript... | null | catalog/migrations/0002_auto_20150529_1738.py | 0002_auto_20150529_1738.py | py | 644 | python | en | code | null | code-starcoder2 | 76 | [
{
"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"
},
{... |
266592845 | from db.models import Pub
from db.management.loaders.Chado.Pub import ChadoPubManager
from db.management.loaders.Chado.Cv import ChadoCvManager
from django.core.exceptions import ObjectDoesNotExist
import re
import sys
import logging
from Bio import Entrez, Medline
# Get an instance of a logger
logger = logging.getLog... | null | django_template/local_apps/db/management/loaders/Publication.py | Publication.py | py | 5,405 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "db.management.loaders.Chado.Cv.ChadoCvManager",
"line_number": 34,
"usage_type": "call"
},
{
"api_name... |
78536285 | #!/usr/bin/env python
#Author: Duncan Campbell
#January 28, 2015
#Yale University
#plot the central quenched fraction
#load packages
from __future__ import print_function
import numpy as np
import h5py
import matplotlib.pyplot as plt
import custom_utilities as cu
from custom_utilities.cython_utilities.match2 import m... | null | quenched_fractions/plot_fq_cen.py | plot_fq_cen.py | py | 3,734 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "custom_utilities.get_output_path",
"line_number": 32,
"usage_type": "call"
},
{
"api_n... |
340411180 | import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Ellipse
figure(figsize=(8,8))
ax=subplot(aspect='equal')
bg = (250, 241, 220)
x = Ellipse((1, 1), 2, 2)
y = Ellipse((1, 1), 1, 1)
ax.add_artist(x)
ax.add_artist(y)
plt.xlim(-2, 4)
plt.ylim(-1, 3)
plt.show() | null | Mapa/prueba_elipse.py | prueba_elipse.py | py | 320 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.patches.Ellipse",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.patches.Ellipse",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.xlim",
"line_number": 19,
"usage_type": "call"
},
{
"api_... |
52876434 | #%% Diffusion / Impedance Test Script
machine = "work"
import os
if machine == "home":
codepath = r"D:\masterthesis\implementations\model_1\code"
solutions_path = r"D:\masterthesis\implementations\model_1\solutions"
input_files_path = r"D:\masterthesis\implementations\model_1\input_files"
elif m... | null | scripts/model1_simulation_script.py | model1_simulation_script.py | py | 10,627 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.chdir",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.use",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.rc",
"line_nu... |
287170430 | import tweepy # Twitter API Library
import sys # Allow Python to interact with more functions
import re # Support regular expression (such as white space characters) through libraries
import csv # Reading and writing data from CSV files
from textblob import TextBlob # Sentiment Analysis
import matplotlib.pyplot as plt... | null | twitter.py | twitter.py | py | 4,640 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "tweepy.Cursor",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_n... |
386448989 | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 4 12:29:21 2021
@author: aduell
"""
#import numpy as np
from numpy import pi, linspace, array, exp
#import tmm
from tmm import inc_tmm, inc_absorp_in_each_layer, inf
#import pandas as pd
#import tmm_vw as tmm
#import matplotlib.pyplot as plt
from matplotlib.pyplot impo... | null | tmmPCECalc.py | tmmPCECalc.py | py | 20,644 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.version_info",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 42,
"usage_type": "name"
},
{
"api_name": "numpy.linspace",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "wpv.Layer",
"line_n... |
531070842 | #!/usr/bin/env python
from setuptools import setup, find_packages
def readme():
with open('README.md') as f:
return f.read()
with open('LICENSE') as f:
license = f.read()
setup(
name='regulus',
version='0.4.0',
description='Regulus',
long_description=readme(),
author='Yarden Li... | null | setup.py | setup.py | py | 720 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "setuptools.setup",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 24,
"usage_type": "call"
}
] |
63406615 | from collections import Counter
from itertools import chain
import os
import pickle
from string import digits
import time
import h5py
import numpy as np
import pandas as pd
from keras.preprocessing import image
from keras.models import Model
from keras.applications.inception_v3 import preprocess_input
from keras.appl... | null | data_handler.py | data_handler.py | py | 8,473 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_table",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "numpy.random.shuffle",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "numpy.random",
... |
499690168 | ###############################################################################
##
## Copyright (C) 2011-2014, NYU-Poly.
## Copyright (C) 2006-2011, University of Utah.
## All rights reserved.
## Contact: contact@vistrails.org
##
## This file is part of VisTrails.
##
## "Redistribution and use in source and binary for... | null | vistrails_current/vistrails/db/versions/v0_9_1/persistence/sql/sql_dao.py | sql_dao.py | py | 6,156 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "datetime.date",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "time.strptime",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "time.strptime",
"li... |
112349272 | from collections import Counter
from itertools import product
from math import factorial
from sys import stdin
from typing import Any
# MARKDOWN_NORMAL
def count_combinations(n: int, r: int) -> int:
if r < 0 or r > n:
return 0
elif r == n or r == 0:
return 1
return factorial(n) // (factori... | null | docs/data/learn/Modeling/input/stats_code/combinatorics/Combinations.py | Combinations.py | py | 2,393 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "math.factorial",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "math.factorial",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "math.factorial",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "itertools.product",
... |
78532966 | from django.shortcuts import render
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from wagtail.core.models import Page
from wagtail.search.models import Query
from django.db.models import Q
from contentmanager.models import DefaultPage
def search(request):
# Search
search_query = re... | null | contentmanager/views.py | views.py | py | 1,135 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "contentmanager.models.DefaultPage.objects.live",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "contentmanager.models.DefaultPage.objects",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "contentmanager.models.DefaultPage",
"line_numbe... |
40875472 | import atexit
import datetime
import logging
import time
from selenium import webdriver
from collections import namedtuple
from pyvirtualdisplay import Display
from controller import PiManager, PS
from threading import Thread
__author__ = 'Jase'
DawnDusk = namedtuple('DawnDusk', ['dawn', 'dusk'])
class Server:
... | null | server.py | server.py | py | 3,430 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.namedtuple",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.date.today",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.date",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "logging... |
134436298 | import os
try:
from setuptools import setup, find_packages
except ImportError:
from ez_setup import use_setuptools
use_setuptools()
from setuptools import setup, find_packages
# Utility function to read the README file.
# Used for the long_description. It's nice, because now 1) we have a top level
# R... | null | pypi_install_script/ritremixerator-0.3.tar/setup.py | setup.py | py | 1,317 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "ez_setup.use_setuptools",
"line_number": 6,
"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",
... |
1646160 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import time, os
import errno
from random import randint
from django.conf import settings
from django.db import models
from django.template.loader import render_to_string
from django.utils import timezone
from django.utils.text import slugify
from django... | null | medical_record/models.py | models.py | py | 8,422 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.db.models.Model",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "django.db.models.TextField",
"line_number": 36,
"usage_type": "call"
},
{
"api_name"... |
653218050 | from doajtest.helpers import DoajTestCase
from portality.formcontext import render, formcontext
from wtforms import Form, StringField, SelectMultipleField, widgets
################################################################
# Form context for basic test
############################################################... | null | doajtest/unit/test_formrender.py | test_formrender.py | py | 6,648 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "wtforms.Form",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "wtforms.StringField",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "wtforms.StringField",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "portality.formcon... |
500172476 | import pandas as pd
import os
import numpy as np
import cv2
from urllib.request import urlretrieve
import zipfile
import time
import sys
dirnames = []
for dirname in os.getcwd().split('/'):
dirnames.append(dirname)
if dirname == 'tinyimagenet':
break
DATA_DIR = "/".join(dirnames+['data'])
DOWNLOAD_URL ... | null | dataset.py | dataset.py | py | 3,410 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.getcwd",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"lin... |
531285352 | from drender import render
from employee.models import Employee, PayRate
from django.http import HttpResponseNotAllowed
from payem.forms import CalculateForm
from django.shortcuts import get_object_or_404
@render('payem/payem.html')
def payem(request):
employees = Employee.objects.all()
form = CalculateForm()
... | null | payem/views.py | views.py | py | 1,036 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "employee.models.Employee.objects.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "employee.models.Employee.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "employee.models.Employee",
"line_number": 9,
"usage_type": "name... |
553482370 |
from construct import *
from eagle_adapters import *
from utils import HexLineAdapter
from utils import to_bin
UNKNOWN = Struct("UNKNOWN",
HexLineAdapter(Field("data", 22)),
)
ROTATION = Embed(RotationAdapter(
BitStruct("rot_flags",
BitField("rot_low", 8),
Padding(1),
BitField("swap",... | null | upconvert/construct/eagle/flrecords.py | flrecords.py | py | 12,939 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "utils.HexLineAdapter",
"line_number": 8,
"usage_type": "call"
}
] |
247070066 | import yaml
from appium import webdriver
from appium.webdriver.common.mobileby import MobileBy
from appium.webdriver.webdriver import WebDriver
from appium_po.page.base_page import BasePage
from appium_po.page.main_page import MainPage
# 进入通讯录
with open("../data/caps.yml",encoding='utf-8') as f:
datas = yaml.safe_... | null | appium_po/page/app.py | app.py | py | 916 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "yaml.safe_load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "appium_po.page.base_page.BasePage",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "appium.webdriver.Remote",
"line_number": 19,
"usage_type": "call"
},
{
"api_name... |
2165244 | import time
import unittest
from google.appengine.ext import ndb
from google.appengine.ext import testbed
from main import app
from models import User, Ingredient
#set up the testing environment once on module load
testBed = testbed.Testbed()
testBed.activate()
testBed.init_datastore_v3_stub()
testBed.init_memcache_... | null | main_test.py | main_test.py | py | 7,987 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "google.appengine.ext.testbed.Testbed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "google.appengine.ext.testbed",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 18,
"usage_type": "attribute"
},
... |
142986501 | import numpy as np
from sympy import *
import base64
from io import BytesIO
x = Symbol('x')
def quaraticdiagram(function, arr_fig, point, delta):
a = arr_fig[0]
b = arr_fig[1]
c = arr_fig[2]
x_diagram_min = point[0] + delta
x_diagram_max = point[0] - delta
if a > 0:
y_diagram_min = point... | null | source/service/math/Solver/FE_Quadratic_Function_Diagram.py | FE_Quadratic_Function_Diagram.py | py | 939 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "io.BytesIO",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 25,
"usage_type": "call"
}
] |
277880097 | # -*- coding: utf-8 -*-
import json
import datetime
import time
from gevent.pywsgi import WSGIServer
from geventwebsocket.handler import WebSocketHandler, Client
from geventwebsocket.websocket import WebSocket
from geventwebsocket import WebSocketError
from flask import Flask, request, render_template
app = Flask(_... | null | Backend/gevent-websocket-flask/app.py | app.py | py | 2,508 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "geventwebsocket.websocket.WebSocket",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": ... |
602066016 | ##Includes relation-type specific matrix for decoding
#Computes negative sampling during trained (not pre-saved as in previous versions)
import os.path as osp
import torch
import torch.nn.functional as F
from sklearn.metrics import roc_auc_score
from torch_geometric.utils import negative_sampling
import os
os.envi... | null | graph_embedding/embedding_het_graph_paper_mesh_rel3.py | embedding_het_graph_paper_mesh_rel3.py | py | 9,348 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "torch.load",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.Linear",
"line_... |
401685751 | # -*- coding:utf-8 _*-
"""
@author:Administrator
@file: alter_color_by_pixel.py
@time: 2019/3/12
"""
from captcha.image import ImageCaptcha
from PIL import Image
image = Image.open('../sample/randomimage1.jpg')
print('p_mode',image.mode)
print(image.getcolors())
pxdata_P = image.load()
print('P_load',pxdata_P)
im... | null | image_process/alter_color_by_pixel.py | alter_color_by_pixel.py | py | 777 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "PIL.Image.open",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 11,
"usage_type": "name"
}
] |
390981069 | from kivy.lang import Builder
from kivy.app import App
from kivy.uix.boxlayout import BoxLayout
from kivy.garden.graph import MeshLinePlot
from kivy.clock import Clock
from kivy.uix.widget import Widget
from kivy.properties import StringProperty
from kivy.properties import ListProperty
from threading import Thread
imp... | null | glassGUI/glassGUI.py | glassGUI.py | py | 5,295 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pyaudio.paInt16",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "pyaudio.PyAudio",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "audioop.rms",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "kivy.uix.boxlayout.B... |
619844203 | import docker
import util
import time
class ServiceResourceManager(object):
"""
Manages docker containers.
:param docker.Client client: A docker client object
:param str repository: The repository name for the image (registry/name)
:param str name: The name of the docker container
:param str v... | null | env/lib/python2.7/site-packages/dockhand/service.py | service.py | py | 4,874 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "docker.errors",
"line_number": 98,
"usage_type": "attribute"
},
{
"api_name": "time.sleep",
"line_number": 110,
"usage_type": "call"
},
{
"api_name": "docker.errors",
"line_number": 129,
"usage_type": "attribute"
},
{
"api_name": "util._get_containe... |
643653504 | # coding=utf-8
# 智城数据抓取
import datetime
import re
import sys
import requests
from bs4 import BeautifulSoup
from com.parttimejob.db.mysqlclient import MysqlClient
def parse(demands, key_word, webtype):
# 创建数据库链接客户端
mysql_client = MysqlClient()
for demand in demands:
try:
key_word = d... | null | com/parttimejob/taskcity.py | taskcity.py | py | 2,696 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "com.parttimejob.db.mysqlclient.MysqlClient",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 27,
"usage_type": "call"
},
{
"api_nam... |
618513374 | """resource_server URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
... | null | resource_server/resource_server/urls.py | urls.py | py | 2,135 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "rest_framework.serializers.ModelSerializer",
"line_number": 26,
"usage_type": "att... |
549302361 | import numpy as np
import os
from sklearn.metrics import average_precision_score
from sklearn.metrics import matthews_corrcoef
from sklearn.metrics import roc_auc_score
import torch
from utils.io import write
metrics = dict(
roc_auc=roc_auc_score,
average_precision=average_precision_score,
m_corr_coef=mat... | null | DanQ/utils/predictor.py | predictor.py | py | 2,845 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sklearn.metrics.roc_auc_score",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "sklearn.metrics.average_precision_score",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "sklearn.metrics.matthews_corrcoef",
"line_number": 13,
"usage_type"... |
426550300 | import logging as log
import time
import re
import json
class AccountNotFound(Exception):
pass
class AnchorNotFound(Exception):
pass
class CannotCalculateChanges(Exception):
pass
class JmapApi:
def __init__(self, db):
self.db = db
self.results = []
self.resultsByTag = {}
... | null | jmap/api.py | api.py | py | 15,723 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.error",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "time.monotonic",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "time.monotonic",
"line_number": 87,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_... |
113945206 | import argparse
import cPickle
import h5py
import os
import tensorflow as tf
from util import log
from vlmap import modules
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--data_dir', type=str,
default='data/preprocessed/visualgen... | null | vlmap_memft/export_noc_word_weights.py | export_noc_word_weights.py | py | 3,442 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentDefaultsHelpFormatter",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 19,
"usage_type": "call"
},
{
... |
168820094 | import pickle
import sacred
from sacred.observers import MongoObserver
from sacred.utils import apply_backspaces_and_linefeeds
import torch
import random
import numpy as np
import functools
def load_pickle(fname):
with open(fname, "rb") as f:
return pickle.load(f)
def write_pickle(o, fname):
with ... | null | racer/utils.py | utils.py | py | 2,676 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pickle.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "functools.reduce",
"lin... |
524512068 | import os
from bottle import (get, post, redirect, request, route, run, static_file,error,template,jinja2_view)
from jinja2 import Template
import json
import utils
# testing
with open('./data/143.json') as the_file:
data = json.load(the_file)
episodes = data['_embedded']['episodes']
# testing
... | null | main.py | main.py | py | 1,666 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "json.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "bottle.static_file",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "bottle.get",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "bottle.static_file",
"line... |
631947930 | # -*- coding: utf-8 -*-
"""
Created on Wed May 6 23:07:33 2020
@author: jcantero
"""
# Regresión polinomica
# Cómo importar las librerías
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Importar el data set
dataset = pd.read_csv('Position_Salaries.csv')
x = dataset.iloc[:, 1:2].values
y = ... | null | datasets/Part 2 - Regression/Section 6 - Polynomial Regression/polinomial_regression_jcantero.py | polinomial_regression_jcantero.py | py | 1,701 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LinearRegression",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.PolynomialFeatures",
"line_number": 27,
"usage_type": "call"
... |
306880716 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'Frederico Ferreira'
__version__ = 'v1.0 2016.09.01'
from agente.controlo_estrategico import *
import sys
import traceback
import subprocess
import psutil
import time
import sqlite3
SLEEP_TIME = 5
def agent_db_connect():
db_name = r'..\web2py\applicatio... | null | agente_tester.py | agente_tester.py | py | 8,324 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sqlite3.connect",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "psutil.Process",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "psutil.pids",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "subprocess.Popen",
"li... |
423774269 | import os
import pytest
from httpie.input import ParseError
from utils import TestEnvironment, http, httpbin, HTTP_OK
from fixtures import FILE_PATH_ARG, FILE_PATH, FILE_CONTENT
class TestMultipartFormDataFileUpload:
def test_non_existent_file_raises_parse_error(self):
with pytest.raises(ParseError):
... | null | tests/test_uploads.py | test_uploads.py | py | 2,065 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pytest.raises",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "httpie.input.ParseError",
"line_number": 12,
"usage_type": "argument"
},
{
"api_name": "utils.http",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "utils.httpbin",
... |
143896280 | from pathlib import Path
import json
from typing import Dict, Any
import requests
from urllib.parse import urljoin
from cachecontrol import CacheControl # type: ignore
from .errors import BadRequest
def get_data_model() -> Dict:
""" Return a dictionary representation of the data model """
root = Path(__file__... | null | covid19_sfbayarea/data/utils.py | utils.py | py | 1,741 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "typing.Dict",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "cachecontrol.CacheControl",
"li... |
299898829 | import os
import glob
import tqdm
import numpy as np
from astropy.io import ascii
from itertools import compress
import warnings
from .path import _GAIA_TOOLS_DATA
def read_spec_internal(source_ids, assume_unique, base_path, wavelength_grid):
"""
internal function to read spectra based on a list of source id... | null | gaia_tools/load/spec.py | spec.py | py | 5,036 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "glob.glob",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.path.basename",
"line_numb... |
429842940 | #录音学习
import pyaudio
import wave
import threading
from tqdm import tqdm
# 定义数据流块
# 要写入的文件名
# WAVE_OUTPUT_FILENAME = "output.wav"
# 创建PyAudio对象
class MypyaudioThread(threading.Thread):
def __init__(self,mode,wavpath):
threading.Thread.__init__(self)
self.bRecord = True
self.wavpath=wavpath
... | null | ws/study/study_pyqudio/SoundRecord.py | SoundRecord.py | py | 3,429 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "threading.Thread",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": ... |
611352678 | import mysql.connector
from dotenv import load_dotenv
import os
import json
load_dotenv()
websiteDB = mysql.connector.connect(
host = os.getenv("SERVER_HOST"),
port = os.getenv("SERVER_PORT"),
user = os.getenv("SERVER_USER"),
password = os.getenv("SERVER_PASSWORD"),
database = os.getenv("SERVER_DATABAS... | null | data/data.py | data.py | py | 1,944 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector.connect",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "mysql.connector.connector",
"line_number": 8,
"usage_type": "attribute"
},
{
"... |
45364931 | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | null | python/raydp/context.py | context.py | py | 5,130 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "contextlib.ContextDecorator",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "typing.Union",
"line_number": 44,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 45,
"usage_type": "name"
},
{
"api_name": "raydp.utils.pars... |
492822478 | # -*-coding:utf-8 -*-
from django.http import HttpResponse, Http404, HttpResponseRedirect
from django.template import RequestContext
from django.shortcuts import render_to_response
from articles.models import Article
from TBES.brand.models import Brand
from TBES.product.models import Product
from TBES.order.models impo... | null | main/views.py | views.py | py | 3,751 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.shortcuts.render_to_response",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.template.RequestContext",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "articles.models.Article.objects.get",
"line_number": 19,
"usage_type":... |
651200148 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.optim import Adam
import numpy as np
import gym
from gym.spaces import Discrete, Box
from collections import deque
import random
import math
import time
device = torch.device('cpu')
# torch.cuda.set_device(device)
def mlp(sizes, activatio... | null | simple_q_imple.py | simple_q_imple.py | py | 5,115 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.device",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.nn.ReLU",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "torch.nn.Identity",
"lin... |
618695914 | # Python imports
import os
import unittest
# Project Imports
from utils import bq
import tests.test_util as test_util
from app_identity import PROJECT_ID
from cdr_cleaner.cleaning_rules.unit_normalization import UnitNormalization, UNIT_MAPPING_TABLE
from common import JINJA_ENV
test_query = JINJA_ENV.from_string("""s... | null | tests/integration_tests/data_steward/cdr_cleaner/cleaning_rules/unit_normalization_test.py | unit_normalization_test.py | py | 2,262 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "common.JINJA_ENV.from_string",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "common.JINJA_ENV",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "unittest.TestCase",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "... |
193592175 | from collections import OrderedDict
from functools import partial
import itertools
import logging
import numpy as np
import torch
from torch.autograd import grad
import time
from artemis.general.display import sensible_str, deepstr
from artemis.general.duck import Duck
from artemis.general.nested_structures import s... | null | uoro_demo/torch_utils/training.py | training.py | py | 15,303 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.max",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torch.eq",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 37,
"u... |
279765483 | '''
HASSMART Cover v0.5
by Jones
2018-10-14
'''
import time
import socket
import logging
import voluptuous as vol
import homeassistant.helpers.config_validation as cv
from threading import Thread, Event
from homeassistant.components.cover import (CoverDevice, DOMAIN, ATTR_POSITION, PLATFORM_SCHEMA)
from h... | null | config/custom_components/hassmart/cover.py | cover.py | py | 12,282 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "homeassistant.components.cover.PLATFORM_SCHEMA",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "homeassistant.components.cover.PLATFORM_SCHEMA.extend",
"line_number": 32,
... |
444046722 | # -*- coding: utf-8 -*-
import re
import json
import requests
from _response import ParserResponse
class Parser:
"""Parser API implementation of Readability"""
Name = 'Readability'
Version = '1.0.0'
Endpoint = 'https://www.readability.com/api/content/v1/parser'
def __init__(self, config):
"""Initialise the p... | null | worker/parser/_readability.py | _readability.py | py | 1,001 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "_response.ParserResponse",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_n... |
568895986 | import pygame
gameDisplay = pygame.display.set_mode((800, 800))
white = (250, 250, 250)
green = (0, 255, 0)
black = (0, 0, 0)
grey = (0, 0, 0)
red = (255, 0, 0)
lightgray = (100, 100, 100)
def createCanvas():
pygame.init()
gameDisplay.fill(grey)
running = True
while running:
for eve... | null | Ankles of Joe/Canvas.py | Canvas.py | py | 641 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.display.set_mode",
"line_number": 2,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "pygame.init",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "pygame.event.ge... |
554902111 | from django.test import TestCase
from main import models
class TestStatic(TestCase):
"""Проверка модели статики."""
def setUp(self) -> None:
"""Подготовка стенда."""
self.google = models.Static.objects.create(
link="http:://google.com", description="TestStatic", slug="google"
... | null | main/tests/test_models/test_static.py | test_static.py | py | 958 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.test.TestCase",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "main.models.Static.objects.create",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "main.models.Static",
"line_number": 11,
"usage_type": "attribute"
},
{
"api... |
528968049 | from django.conf.urls.defaults import *
from django.conf import settings
from django.views.generic.simple import direct_to_template
# pinax
from pinax.apps.account.openid_consumer import PinaxConsumer
handler500 = "pinax.views.server_error"
from django.contrib import admin
admin.autodiscover()
from dajaxice.core imp... | null | src/urls.py | urls.py | py | 2,426 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "django.contrib.admin.autodiscover",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "dajaxice.core.dajaxice_autodiscover",
"line_number": 13,
"usage_type": "call"
},... |
28523657 | from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from time import sleep
from bs4 import BeautifulSoup
import pymysql
# db에 저장할 함수
# 한번 화면에 담아서
# 팝업창 크롤링할 함수
driver = webdriver.Chrome(executable_path="chromedriver.exe")
# home_page open
driver.get("http://www.gbis.go.kr/gbis2014/schB... | null | newbus.py | newbus.py | py | 1,465 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "time.s... |
345896110 | import streamlit as st
import pandas as pd
import numpy as np
import plotly.graph_objects as go
import plotly.express as px
import math
import sys
import os
import requests
st.set_page_config(page_title='eWorking Calculator', page_icon="https://raw.githubusercontent.com/Githubaments/Images/main/favicon.ico")
st.subh... | null | venv/eWorking.py | eWorking.py | py | 3,938 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "streamlit.set_page_config",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "streamlit.subheader",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "streamlit.beta_expander",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": ... |
352156811 | '''
By Kenneth Liu
Date: 12/11/2020
'''
import pytest
from other import clear
from auth import auth_register
from error import AccessError, InputError
from channels import channels_create
from other import clear
from flockr_database_api import DataBase
from channel import channel_invite
from user import *
import glob
... | null | project-backend/src/user_test.py | user_test.py | py | 4,494 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "auth.auth_register",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "auth.auth_register",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "auth.auth_register",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "channels.cha... |
581180623 | #!/usr/bin/env python
# coding:utf-8
from typing import List, Set
import sys
def diffs(arr: List[int]) -> Set[int]:
"""
配列を差分して絶対値を取り返す
"""
return {abs(v1-v2) for v1, v2 in zip(arr[1:], arr[:-1])}
def is_jelly(n: int, arr: List[int]) -> bool:
"""
配列がarrのdiffが1..n-1をもれなく重複なく取るか判定する
"""
... | null | week1/10038_Jolly_Jumpers/anser.py | anser.py | py | 653 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.List",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.Set",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "sys.stdin",
"line_number": 19,
... |
147723114 | import numpy as np
import pandas as pd
# 1. 데이터
train=np.load('./data/comp1_train.npy')
test=np.load('./data/comp1_test.npy')
from sklearn.model_selection import train_test_split
from keras.layers import Dense, LSTM, Conv2D, MaxPooling2D, Flatten, Input
from keras.models import Sequential, Model
from sklearn.preproces... | null | data/dacon/comp1/dacon1_12_xgb_feat.py | dacon1_12_xgb_feat.py | py | 2,917 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.load",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "sklearn.... |
238499532 | #!/usr/bin/env python3
import os
import shelve
from itertools import repeat
from multiprocessing import Pool
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from matplotlib.ticker import FuncFormatter
levels = [0.00048828125, 0.0009765625,
0.001953125, 0.00390625, 0... | null | scripts/stats/error_rates_vs_signal_levels.py | error_rates_vs_signal_levels.py | py | 4,411 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.listdir",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": ... |
79323611 | import random
import gym
import numpy as np
from collections import deque
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import Adam
#from scores.score_logger import ScoreLogger
ENV_NAME = "CartPole-v0"
GAMMA = 0.95
TAU = 0.001
LEARNING_RATE = 0.001
MEMORY_SIZE = 100000
BAT... | null | DQNCartPole.py | DQNCartPole.py | py | 3,157 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.deque",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "keras.la... |
247541526 | import tempfile
import warnings
from os.path import join
import numpy as np
from csbdeep.data import RawData, create_patches, no_background_patches
from csbdeep.data.transform import anisotropic_distortions
from csbdeep.io import load_training_data
from csbdeep.io import save_training_data
from csbdeep.models import C... | null | dexp/processing/isonet/isonet.py | isonet.py | py | 2,812 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tempfile.gettempdir",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
535571515 | import csv
import datetime
import os
import time
import unittest
from urllib.parse import urlparse, parse_qs
from xml.etree import ElementTree as ET
import xlrd
from faker import address
from faker import company
from faker import name
from selenium import webdriver
from pages.producer_center.login_page import Produc... | null | tests/products/SMOKE_NGP_USPRO_Producer_Create_Binder_PCI_Option.py | SMOKE_NGP_USPRO_Producer_Create_Binder_PCI_Option.py | py | 12,513 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "xlrd.open_workbook",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "utilities.Environments.Environments.Environments.return_environments",
"line_number": 140,
"usage_type": "call"
},
{
"api_name": "utilities.Environments.Environments.Environments",
"... |
618631446 | import logging
from datetime import datetime
from pprint import pprint as pp
from click import progressbar
from pandas import DataFrame
from scout.parse.ensembl import (parse_ensembl_exons, parse_ensembl_exon_request)
from scout.build.genes.exon import build_exon
LOG = logging.getLogger(__name__)
def load_exons(a... | null | scout/load/exon.py | exon.py | py | 2,037 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 32,
"usage_type": "argument"
},
{
"api_name": "scout.parse.ensembl.parse_ensembl_exon_request",
"line_number": 33,
"usage_type": "call"
},
{
... |
450821212 | # The Database that stores the information for all the transaction
from collections import deque
from flask import jsonify
from transaction_entity import TransactionEntity
class Database:
points_database = {}
transactions = deque()
total_points = 0
status_code = 200
def __init__(self, arg1=None, ... | null | database.py | database.py | py | 3,385 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "collections.deque",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "transaction_entity.TransactionEntity",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "flask.jsonify",
"line_number": 50,
"usage_type": "call"
}
] |
46073679 | import random
import pygame
pygame.init()
screen_width = 900
screen_height = 600
# Creating window
gameWindow = pygame.display.set_mode((screen_width,screen_height))
# Game Title
pygame.display.set_caption("Snakes with Harry")
pygame.display.update() # whenever you want to see the change in your window
# Colors - RG... | null | tut17.py | tut17.py | py | 2,938 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pygame.init",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "pygame.display",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.s... |
338591034 | import numpy as np
from matplotlib import pyplot as plt
from Mode import Mode
from CurvesSampling import findKvForGivenListOfFrequenciesInMode
class Waveform:
def __init__(self, omegaPath, kvectPath, samplingFrequencies, numOfCurves, amplitude=1.0):
self.modes = []
frequencies = ( np.load(omega... | null | Waveform.py | Waveform.py | py | 1,470 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.pi",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.load",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.full",
"line_number": 1... |
640022077 | import commands
import json
import os
import sys
import pickle
import signal
from os.path import abspath as _abspath, join as _join
import Interaction,Database,Logger
# main Yoda class
class Yoda:
# constructor
def __init__(self, globalWorkingDir, localWorkingDir):
self.globalWorkingDir = globalWo... | null | HPC/pandayoda/yodacore/Yoda.py | Yoda.py | py | 10,378 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "Interaction.Receiver",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "Database.Backend",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "Logger.Logger",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "signal.signal",
... |
589470055 | '''
@ Travis Drake (EklipZ) eklipz.io - tdrake0x45 at gmail)
July 2019
Generals.io Automated Client - https://github.com/harrischristiansen/generals-bot
EklipZ bot - Tries to play generals lol
'''
import logging
import time
import json
from ArmyAnalyzer import *
from SearchUtils import *
from collections import de... | null | BoardAnalyzer.py | BoardAnalyzer.py | py | 5,422 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "time.time",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "logging.info",
"line_number": 56... |
573976494 |
import requests
def getSidoCode(strSidoName):
if type(strSidoName) is not str:
print('매게변수로 문자열을 넣으셔야 합니다. : getSidoCode')
if type(strSidoName) is int:
return strSidoName
# 서울특별시 11
# 부산광역시 26
# 대구광역시 27
# 인천광역시 28
# 광주광역시 29
# 대전광역시 30
# 울산광역시 31
# 세종특별자치시 3... | null | test.py | test.py | py | 3,399 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "requests.get",
"line_number": 71,
"usage_type": "call"
}
] |
362524783 | from numpy import expand_dims
from tensorflow.keras.preprocessing.image import load_img, img_to_array, save_img, ImageDataGenerator
import matplotlib.pyplot as plt
img = load_img('images/1500.jpg')
data = img_to_array(img)
samples = expand_dims(data, 0)
gen = ImageDataGenerator(brightness_range=[0.3, 1.7],
... | null | image_augmentation/unit_augmentation.py | unit_augmentation.py | py | 863 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tensorflow.keras.preprocessing.image.load_img",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.preprocessing.image.img_to_array",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.expand_dims",
"line_number": 7,
"usag... |
612359563 | import arcade
window_width=200
window_height=250
window_title="Timer"
class Timer(arcade.Window):
def __init__(self,window_width,window_height,window_title):
super().__init__()
arcade.set_background_color(arcade.color.BLACK)
self.time=100
def on_draw(self):
arcade.start_render... | null | 4.Auto timer/main.py | main.py | py | 664 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "arcade.Window",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "arcade.set_background_color",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "arcade.color",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "arcad... |
184935572 | import json
import secrets
import time
from flask import jsonify
from database import db_pynamodb as db
from domains.models.entities.report_templates import ReportTemplate
from infrastructures.database.models.report_template_model_pynamodb import ReportTemplateModel
from manage import app
def create_dat... | null | init_mock_pynamodb.py | init_mock_pynamodb.py | py | 2,340 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "manage.app.app_context",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "manage.app",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "infrastructures.database.models.report_template_model_pynamodb.ReportTemplateModel.delete_table",
"line_num... |
397799593 | import sys
import os
import re
from datetime import datetime
from itertools import accumulate
import argparse
import logging
from gitsuperlog import helper
from gitsuperlog.defaults import EMPTY_TREE_SHA
import git
from git.compat import (defenc, PY3)
from git.util import (Actor, Iterable, Stats, finalize_process)
... | null | gitsuperlog/main.py | main.py | py | 5,124 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "git.Repo",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "gitsuperlog.defaults.EMPTY_TREE_SHA",
"line_number": 84,
"usage_type": "argument"
},
{
"api_name... |
56776166 | import datetime
import logging
import zlib
import aiobotocore
import botocore
_LOGGER = logging.getLogger(__name__)
STATE_NOT_EXISTING = "not_existing"
STATE_OK = "ok"
STATE_PRECONDITION_FAILED = "precondition_failed"
class S3Bucket:
def __init__(self, bucket_name, region_name="eu-west-1"):
self._bucke... | null | tibber_aws/s3.py | s3.py | py | 3,260 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "aiobotocore.get_session",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "botocore.e... |
191015577 | # -*- coding: utf-8 -*-
"""
Created on Wed Jul 14 09:07:04 2021
@author: Kate.Harrison
"""
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from tkinter.filedialog import askopenfilename
# Define constants and options
fThresh = 40 #below this value will be set to 0.
#stepLen = 45 #Set value t... | null | Python/AthleteFeedback_Agility.py | AthleteFeedback_Agility.py | py | 8,971 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "tkinter.filedialog.askopenfilename",
"line_number": 95,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 97,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 106,
"usage_type": "call"
},
{
"api_na... |
112559241 | from pylab import *
import matplotlib as mpl
mpl.rcParams['lines.linewidth'] = 1.5
import os
import cPickle as pickle
def pyload(filepath):
with open(filepath, 'rb') as file_:
return pickle.load(file_)
# TODO: make a plot function that programmatically:
# maximizes windows,
# figure(figsize=(10,... | null | src/eval_itl_WIP.py | eval_itl_WIP.py | py | 9,245 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "matplotlib.rcParams",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "cPickle.load",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.listdi... |
588208026 | # -*- coding: utf-8 -*-
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.core import serializers
from django.http.response import HttpResponse, Http404, HttpResponseRedirect
from django.shortcuts import render
from models import Profile
from models import Request... | null | apps/task/views.py | views.py | py | 3,675 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "models.Profile.objects.first",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "models.Profile.objects",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "models.Profile",
"line_number": 17,
"usage_type": "name"
},
{
"api_name"... |
536807464 | import os, requests, subprocess, shutil, gzip
from pathlib import Path
from timeit import default_timer as timer
import click
import h5py
import numpy as np
from sklearn.decomposition import TruncatedSVD, PCA
from tqdm.std import tqdm
def download_file(url: str, file_path: Path):
"""
Downloads file from `... | null | xrun/data/prepare_sift10m.py | prepare_sift10m.py | py | 3,188 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pathlib.Path",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tqdm.std.tqdm",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_numb... |
355578914 | """Constructs daily time series of COVID-19 testing data for Myanmar.
This module has been tested on tesseract v4.1.1.
"""
import os
import re
import requests
import datetime
import calendar
from typing import List, Tuple
from io import BytesIO
from bs4 import BeautifulSoup
import pandas as pd
import pdfplumber
import... | null | scripts/scripts/testing/automations/incremental/myanmar.py | myanmar.py | py | 5,600 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "urllib3.disable_warnings",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "pandas.NA",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "pandas.concat... |
228459618 | #!/bin/python
#coding=utf-8
import time, threading, os, urllib2, sys
import json
from PIL import Image
from pymouse import PyMouse
reload(sys)
sys.setdefaultencoding("utf-8")
last_pr = None;
cmds = None;
def findInList(aid):
global last_pr
for(key, val) in last_pr:
if val["aid"] == aid:
return True
return Fa... | null | bilibili.py | bilibili.py | py | 2,824 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "sys.setdefaultencoding",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "urllib2.Request",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "urllib2.urlopen",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "json.loads",
... |
9385392 | import sys
import os
from subprocess import Popen, PIPE, check_output
import time
import uuid
from fabric.api import env, run, cd, get, hide, settings, remote_tunnel, show
from fabric.tasks import execute
from fabric.decorators import with_settings
from datetime import timedelta
from os.path import join as pj
from jin... | null | mycluster/mycluster.py | mycluster.py | py | 16,802 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.dirname",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
166591362 | import torch
from adabelief_pytorch import AdaBelief
from TorchDiffEqPack import odesolve
import numpy as np
from matplotlib import pyplot as plt
from scipy.io import loadmat
import os
import torch.nn as nn
import numpy as np
import pandas as pd
import torch.nn.functional as F
from torch.optim import Adam
from scipy im... | null | test_code/multiple_shooting_adjoint/test_multiple_shoot_lotka_sigmoid.py | test_multiple_shoot_lotka_sigmoid.py | py | 5,950 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.linspace",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number... |
621827729 | # -*- coding: utf-8 -*-
"""
Created on Wed Apr 25 09:06:37 2018
@author: Administrator
"""
import pandas as pd
from sklearn.utils import shuffle
from w2v_model import W2V_MODEL
import re
import os
filtrate = re.compile(u'[^\u4E00-\u9FA50-9a-zA-Z，。,.？!?！:：;；]')
def load_w2v_file(path):
merge_data=[]
for file... | null | choose/train_w2v.py | train_w2v.py | py | 1,115 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.compile",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 19,
... |
304568512 | import tensorflow as tf
import keras
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import PIL
#import danych
train_file = open("train.csv", "r")
test_file = open("test.csv", "r")
column_names = train_file.readline().splitlines()[0].split(",")
train_data = pd.read_csv(train_file, names=column... | null | Listki/LeavesNew.py | LeavesNew.py | py | 3,555 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "keras.Sequential",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",... |
409860104 | import yaml
import datetime
from datetime import timedelta
from dateutil.relativedelta import *
from dateutil.rrule import *
from dateutil.parser import *
# The DAG object; we'll need this to instantiate a DAG
from airflow import DAG
# Operators; we need this to operate!
from airflow.utils.task_group import TaskGroup... | null | airflow/dags/bealign-sliding-windows.py | bealign-sliding-windows.py | py | 19,360 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pathlib.Path",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number... |
601868665 | import os,sys,shutil, json, subprocess, logging, argparse, glob, re
from zipfile import ZipFile
import xml.etree.ElementTree as ET
from xml.etree.ElementTree import ParseError
file_path = os.path.abspath(os.path.dirname(__file__)).replace('\\', '/')
main_path = os.path.abspath(os.path.join(file_path, '..')).replace('\... | null | mcuxsdk_ci/apps/build_from_package.py | build_from_package.py | py | 10,342 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.path.abspath",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line... |
351477841 | # Importing all the necessary modules
import cv2
from keras.datasets import mnist
import keras
from keras.models import Sequential
from keras.layers import Conv2D,Dense,Flatten,MaxPooling2D
import matplotlib.pyplot as plot
import numpy as np
from keras.preprocessing.image import ImageDataGenerator
from keras... | null | Digits_Recognition.py | Digits_Recognition.py | py | 3,816 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "keras.datasets.mnist.load_data",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "keras.datasets.mnist",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 22,
"usage_type": "call"
... |
410936453 | from prometheus_client import start_http_server, Counter
from prometheus_client.parser import text_string_to_metric_families
import random
import time
import logging
import sys
import requests
import logging
import sys
#logging
log = logging.getLogger(__name__)
out_hdlr = logging.StreamHandler(sys.stdout)
out_hdlr.set... | null | prom_counter.py | prom_counter.py | py | 1,569 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.getLogger",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "logging.Forma... |
359392091 | """
byceps.services.ticketing.ticket_user_checkin_service
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
:Copyright: 2006-2021 Jochen Kupperschmidt
:License: Revised BSD (see `LICENSE` file for details)
"""
from ...database import db
from ...events.ticketing import TicketCheckedIn
from ...typing import PartyID... | null | byceps/services/ticketing/ticket_user_checkin_service.py | ticket_user_checkin_service.py | py | 3,594 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "typing.PartyID",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "transfer.models.TicketID",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "typing.UserID",
"line_number": 32,
"usage_type": "name"
},
{
"api_name": "user.service.ge... |
292280116 | import speech_recognition as sr
AUDIO_FILE = ("sample.wav")
r=sr.Recognition() #initialize the recognizer
with sr.AudioFile(AUDIO_FILE) as source:
audio=r.record(source)
#reads the audio file
try:
print("audio file contains "+r.recognize_google(audio))
except sr.UnknownValueError :
print("Google Speech ... | null | speechToText.py | speechToText.py | py | 415 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "speech_recognition.Recognition",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "speech_recognition.AudioFile",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "speech_recognition.UnknownValueError",
"line_number": 9,
"usage_type": "attribu... |
619610486 | import os
import re
import logging
import argparse
import h5py
import matplotlib
import matplotlib.pyplot as plt
from numpy import reshape, linspace, amax
logging.basicConfig(level=logging.INFO)
os.environ["HDF5_USE_FILE_LOCKING"] = "FALSE" # Needed on Supercloud =/
matplotlib.rcParams['figure.dpi'] = 200
plt.sty... | null | plotting/plot_horizontal_slices.py | plot_horizontal_slices.py | py | 3,054 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "logging.basicConfig",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.INFO",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "matplotlib.rcPa... |
546416094 | from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
import os
import pandas as pd
import pickle
from pprint import pprint
import re
def setup_driver():
chromedriver = "/Users/julianlanger/Dropbox/data/marat_journal/chromedriver"
os.environ["webdriver.chrome.driver"] = chrome... | null | scrape_db.py | scrape_db.py | py | 4,515 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.environ",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "selenium.webdriver.ChromeOptions",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "s... |
569009036 | def test_call():
print("Test success")
def master_call():
print ("It's master")
def new_test_call():
print ("On developer branch.")
def branch_changer():
print ("yo")
from bokeh.models import Slider, CustomJS
from bokeh.layouts import row, column
from bokeh.plotting import Figure, output_noteboo... | null | test.py | test.py | py | 2,976 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "bokeh.plotting.output_notebook",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.exp",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sympy.Symbol",
... |
492376443 | import os
import csv
import argparse
try:
import nmap
except ImportError:
os.system('pip install -r requirements.txt')
print('\nInstalando los paquetes indicados en "requirements.txt"...')
print('Ejecuta de nuevo el script.')
exit()
def nmapRun(gatewayip):
#Escaneo de ip de router
... | null | nmapobt.py | nmapobt.py | py | 1,763 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "os.system",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "nmap.PortScanner",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 53,
"usage_type": "call"
}
] |
345140504 | import collections
import pandas as pd
import re
def culture_report():
#Microbiology culture activity report
source = "path/to/file"
f = open(source, 'r')
subject = f.read()
match = re.findall(r'''(?<=icrobiology\sCulture\sActivity\sReport)(.*?)(?=\d\d:\d\d:\d\d\s*M... | null | culture.report.py | culture.report.py | py | 5,749 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "re.findall",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "re.S",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "re.search",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 30,
... |
50709884 | # -*- coding: utf-8 -*-
# author: Raychee
import teradata
import pandas as pd
class Teradata(object):
"""Teradata connection tools use teradata and pandas (for python 3)
"""
pooling = True
config = {
"appName": __name__ + '.Teradata',
"version": '1.0',
"runNumber": "0",
... | null | PyProjectTemplate/scheduler/tools/td_tools.py | td_tools.py | py | 7,181 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "pandas.isnull",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "pandas.np.isinf",
"line_number": 98,
"usage_type": "call"
},
{
"api_name": "pandas.np",
"line_number": 98,
"usage_type": "attribute"
},
{
"api_name": "teradata.DatabaseError",... |
349498671 | from flask import Flask, render_template, request
from operacoes import *
title = "Calculadora"
app = Flask(__name__)
@app.route('/')
def home():
return render_template("home.html", titulo=title)
@app.route('/calcular')
def calcular():
num1 = float(request.args["num1"])
num2 = float(request.args["num2... | null | aula10/aula10.py | aula10.py | py | 788 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "flask.reques... |
562640437 | import numpy as np
from flask import Flask, request, render_template
import pickle
app = Flask(__name__)
with open('cc_fraud_model.pkl', 'rb') as f:
model = pickle.load(f)
feature_names = ['Time',
'V1',
'V2',
'V3',
'V4',
'V5',
'V6',
'V7',
'V8',
'V9',
'V10',
'V11',
'V12',
'V13',
... | null | cred_card_fraud_v2/cc_fraud_v2_app.py | cc_fraud_v2_app.py | py | 1,078 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "flask.request.form.get",
... |
53941938 | # Use a pretrianed model to continue training, with only water-content loss
import argparse
import os
import numpy as np
import math
import itertools
import sys
import rasterio
import torchvision.transforms as transforms
from torchvision.utils import save_image, make_grid
from torch.utils.data import DataLoader
from ... | null | bathymetry_training/model2.py | model2.py | py | 8,703 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.cuda.is_available",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 42,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.set_device",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "torch.c... |
459910334 | import argparse
import funcy
import itertools
import math
import numpy as np
import random
import os
import torch
from skimage.io import imread
from PIL import Image
from tqdm import tqdm
from torch.autograd import Variable
from torch.utils.data import Dataset, DataLoader
from torchvision import transforms
def set_s... | null | generate_masks.py | generate_masks.py | py | 4,632 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "torch.initial_seed",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "random.seed",
... |
392987258 | import numpy as np
import matplotlib.pyplot as plt
import scipy.integrate as integrate
from Lorenz96_RK4 import Lorenz96
import sys, os
# Set the hyperparamters for generating the data
# stepsize = dt
stepsize = 0.01
# How many time points
steps = 1000
# Initial point
np.random.seed(123456)
y0 = np.random.random(... | null | Testing.py | Testing.py | py | 1,334 | python | en | code | null | code-starcoder2 | 76 | [
{
"api_name": "numpy.random.seed",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.random",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random"... |
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