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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
310699147 | import os
import sys
import argparse
from math import log2
def get_list(path: str) -> str:
return [file for file in os.listdir(path) if os.path.isfile(file)]
def get_contents(path: str) -> list:
data = []
with open(path, "rb") as file:
for i in file.read():
data.append(i)
... | null | enc_det.py | enc_det.py | py | 3,970 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.listdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "math.log2",
"line_number": 22... |
323508780 | # Copyright 2017-2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of this
# software and associated documentation files (the "Software"), to deal in the Software
# without restriction, including without limitation the rights t... | null | src/registerpage.py | registerpage.py | py | 3,072 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 24,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandle... |
641266555 | # -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
import requests
import pandas as pd
import warnings
import concurrent.futures
class Scraper:
"""
A class used to represent a Scraper
Attributes
----------
home_url : str
the string used to access the main page where letters filte... | null | scraper.py | scraper.py | py | 13,054 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.simplefilter",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 90,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "requests.get",
... |
527392753 | '''
Usage: find all link of skyon and download
Created on 2016年6月28日
@author: Administrator
'''
from idlelib.IOBinding import encoding
import os
import urllib.request
from bs4 import BeautifulSoup
linkList = [];
def get_content(toUrl, count):
"""Return the content of given url
Args:
... | null | WebClawer/src/com/sut/beginner/SpiderSkyon.py | SpiderSkyon.py | py | 3,496 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "urllib.request.request.urlopen",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "urllib.request.request",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "urllib.request",
"line_number": 27,
"usage_type": "name"
},
{
"api_nam... |
642577121 | #!/usr/bin/env python
from __future__ import division
import numpy as np
from numpy import sin, cos, pi, linspace
import matplotlib.pyplot as plt
from matplotlib import animation
# First set up the figure, the axis, and the plot element we want to animate
l, h = 1.0, 0.4
v = 0.01
fig = plt.figure()
ax = plt.axes(xlim=... | null | WavesOnStrings/plucked_string1.py | plucked_string1.py | py | 920 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.axes",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "mat... |
82572941 | import torch
from typing import Union
from pytorch3d.renderer import FoVOrthographicCameras, FoVPerspectiveCameras
class Camera:
@classmethod
def get_cameras(cls,
camera_type: str,
fov: float,
znear: float,
zfar: float,
... | null | renderer/utils/camera.py | camera.py | py | 1,854 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.Union",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "torch.device",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "typing.Union",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "torch.Tensor",
"line_... |
579389751 | #!/usr/bin/python
import sys
import matplotlib.pyplot as plt
import numpy as np
x_size = 10
y_size = 10
u = [[0 for x in range(x_size)] for x in range(y_size)]
h = [[0 for x in range(x_size)] for x in range(y_size)]
for i in range(0, y_size):
u[i][0] = 0
h[i][0] = 0
for j in range(0, x_size):
u[0][j] = ... | null | Faiman.py | Faiman.py | py | 1,024 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyp... |
152415995 | from django.contrib import admin
from django.urls import path,include
from bsl import views
urlpatterns = [
path('login/', views.login),
path('logout/', views.logout),
path('add_job/', views.add_job),
path('run_job/',views.run_job),
path('index/',views.index),
path('add_host/',views.add_host),
... | null | wshell/bsl/urls.py | urls.py | py | 791 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "bsl.views.login",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "bsl.views",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "django.urls.path",
"... |
475108386 | """
Tests for the configuration loading and dumping capabilities, including Vault mixin
"""
from unittest.mock import patch, mock_open, call, Mock
from json import dumps as jdumps
from stat import S_IRUSR, S_IWUSR
import pytest
from vault_anyconfig.vault_anyconfig import VaultAnyConfig
@pytest.fixture
def gen_inpu... | null | tests/unit/test_config_loading_and_dumping.py | test_config_loading_and_dumping.py | py | 6,880 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pytest.fixture",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "pytest.fixture",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "pytest.fixture",
"line_number": 55,
"usage_type": "attribute"
},
{
"api_name": "unittest.... |
247124498 | #!/usr/bin/env python
"""Check if the time for starting is over."""
__all__ = [
"is_start_time_now",
"nearest_start_time",
]
from datetime import datetime, timedelta
_LATEST = datetime.now().replace(hour=20, minute=0, second=0)
_EARLIEST = datetime.now().replace(hour=0, minute=0, second=0)
_EARLIEST_LIMIT... | null | development/starting_time.py | starting_time.py | py | 1,519 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.now",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetim... |
33743582 | from os import environ
import boto3
from botocore.exceptions import ClientError, NoCredentialsError
class S3client:
def __init__(self):
self.client = boto3.client(
's3', aws_access_key_id=environ.get('AWS_ACCESS_KEY'),
aws_secret_access_key=environ.get('AWS_ACCESS_SECRET'),
... | null | lib/aws/client.py | client.py | py | 2,649 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "boto3.client",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.environ.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"line_number... |
456667229 | import hashlib
from helpers import int_to_little_endian, parse_varint, serialize_as_varint, little_endian_to_int, epoch_to_datetime
import io
from html_formatter import HTMLBytesFormatter
class Block:
def __init__(self, version, previous_block_hash, merkle_root, timestamp, difficulty, nonce):
self... | null | block.py | block.py | py | 3,834 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "io.BytesIO",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "io.BufferedReader",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "helpers.little_endian_to_int",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "helper... |
375697411 | #!/usr/bin/python3
import sys
import os
from matplotlib import pyplot as plt
import numpy as np
import pandas as pd
import cv2 as cv
from sklearn.cluster import MiniBatchKMeans
from skimage.feature import greycomatrix
"""
params:
data path - contains ManipulatedFrames, ManipulatedMasks, and OriginalFrames
p... | null | steg_svm/image_proc.py | image_proc.py | py | 8,406 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.CV_32F",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "numpy.pi",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "cv2.Laplacian",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "cv2.Sobel",
"line_num... |
439834881 | import numpy as np
import pandas as pd
import uuid
"""Step1: read excel data
=================================================================="""
Con_slab={'element ID':str,'Delivery ID':str,'PO ID':str,'WBS code':str,'Family':str,'Type':str,'Family and Type':str,
'Volume':str,'Area':str,'Perimeter':str,'Bauab... | null | data_interaction_Ver1.py | data_interaction_Ver1.py | py | 19,737 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_excel",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "pandas.to_datetime",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_excel",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "pandas.Se... |
27369740 | import boto3
import json
import logging
import traceback
import random
import string
import datetime
from .models import Server, Permission, Backup
from .serializers import ServerSerializer, BackupSerializer
from django.conf import settings
from django.contrib.auth.mixins import LoginRequiredMixin
from django.core.exc... | null | smitty/apps/console/views.py | views.py | py | 15,550 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.mixins.LoginRequiredMixin",
"line_number": 29,
"usage_type": "name"
},
{
"api_name": "django.views.generic.TemplateView",
"line_number": 29,
"usage_type": "nam... |
72383267 | from parse import parse
from util import step_has_prerequisite, distinct
file = open("input.txt", "r")
lines = file.readlines()
# parse file
instructions = []
for line in lines:
parsed = parse("Step {step} must be finished before step {next} can begin.", line)
instructions.append((parsed['step'], parsed['next'])... | null | 2018/07/part1.py | part1.py | py | 986 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "parse.parse",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "util.step_has_prerequisite",
"line_number": 18,
"usage_type": "call"
}
] |
378255721 | import os
import sys
import json
import asttostr
from pprint import pprint
from asttocfg import CFG
import graphviz
from graphviz import Digraph
def faintvariable_analysis(cfg):
pass
def remove_faint_variables(cfg, faint_variables):
pass
def render_graph(cfg, outfile):
"""
function to render th... | null | faintvariable/source/livevariable.py | livevariable.py | py | 5,548 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "graphviz.ExecutableNotFound",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "pprint.pprint",
"line_number": 148,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 186,
"usage_type": "attribute"
},
{
"api_name": "sys.ar... |
428803788 | from sklearn.feature_extraction.text import TfidfVectorizer as TFIDF
from dataProcess import remove_pun_and_stopWords
import pandas as pd
from sklearn.naive_bayes import MultinomialNB as MNB
from sklearn.model_selection import cross_val_score
from sklearn.metrics import accuracy_score,f1_score,roc_auc_score
import nu... | null | 数据清洗与训练/train_tfidf.py | train_tfidf.py | py | 2,274 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.naive_bayes.MultinomialNB",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sklearn.naive_bayes.MultinomialNB",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 15,
"usage_type": "call"
},
{
"ap... |
345280265 | import os
from io import open
from setuptools import setup, find_packages
# Load package info, without importing the package
basedir = os.path.dirname(os.path.abspath(__file__))
package_info_path = os.path.join(basedir, "hybrid", "package_info.py")
package_info = {}
try:
with open(package_info_path, encoding='utf... | null | setup.py | setup.py | py | 1,912 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_nu... |
95272458 | import logging
import re
from streamlink.compat import urlparse
from streamlink.plugin import Plugin
from streamlink.plugin.api.utils import itertags
from streamlink.stream import HLSStream
log = logging.getLogger(__name__)
class CbcSportTv(Plugin):
"""
Support for Azer live channel stream on cbcsport.tv/liv... | null | cbcsport_tv.py | cbcsport_tv.py | py | 1,274 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlink.plugin.Plugin",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "re.compile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "streamlink.plugi... |
267343581 | """
Label connected regions and return the corresponding areas.
Author: Chao Huang (chaohuang.stat@gmail.com)
Last update: 2017-10-14
"""
import numpy as np
from skimage.measure import regionprops
"""
installed all the libraries above
"""
def label_region(img_size, img_idx, l_stat, c_alpha):
"""
Label ... | null | stat_label_region.py | stat_label_region.py | py | 1,463 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "skimage.measure.regionprops",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.max",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"... |
527424444 | import datetime
from .game import Game
class Player():
def __init__(self, player_username, player_id, room_sid=None, **player_config):
self.game = Game()
self.username = player_username
self.id = player_id
self.room_sid = room_sid
self.opponent = None
self.current_... | null | app/game/game_models/player.py | player.py | py | 1,981 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "game.Game",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "datetime.tim... |
314787291 | import cherrypy, json, os, time, mymqtt
def register(new_device):
new_device["insert-timestamp"] = time.time()
with open(f"{os.getcwd()}/res/json_db.json") as f:
data = json.loads(f.read())
for device in data["devices"]:
if new_device["deviceID"] in device["deviceID"]:
return 40... | null | Software/Lab4/catalog.py | catalog.py | py | 5,362 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.time",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 12,
"u... |
366347600 | from tkinter import *
import random
import qrcode
from PIL import ImageTk, Image
from datetime import *
from klant_in_klantenbestand_goed import invoer_gegevens_aanbieder
def ticketFilmNaam(info, i, naam1, mail1):
naam = info[i][1]
tijd = str(datetime.fromtimestamp(int(info[i][5])))[11:16]
dag = ... | null | Bezoeker_Ticket.py | Bezoeker_Ticket.py | py | 2,626 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.fromtimestamp",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "datetime.fromtimestamp",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "random.randrange",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "random... |
128345267 | from typing import Collection
from copy import copy
import simulacra as si
import simulacra.units as u
import numpy as np
earth_surface_acceleration = 9.81 * u.m / (u.s ** 2)
earth_mass = 5.972e24 * u.kg
class GravitationalField:
"""An abstract class that represents a gravitational field."""
def get_accele... | null | apples.py | apples.py | py | 6,015 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "simulacra.units.m",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "simulacra.units",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "simulacra.units.s",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "simulacra.... |
358023661 | # Includes
import os
import numpy as np
import bifurcations_toolbox_roads as tb
import torch
from torch.autograd import Variable
import Nets as nt
import scipy.misc
from PIL import Image
from photutils import find_peaks
from astropy.stats import sigma_clipped_stats
import json
# Setting of parameters
model_dir = './... | null | roads/patch/test_road_patches.py | test_road_patches.py | py | 3,485 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 36,
"usage_type": "attribute"
},
{
"api_name": "bifurcations_toolbox_roads.construct_name",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "Nets.Net_SHG",
"line_number": 40,
"usage_type": "call"
},
{
"api_name":... |
28210635 | import keras
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras import backend as K
import pandas as pd
import matplotlib.pyplot as plt
batch_size = 64
num_classes = 10
epochs = 12
img_rows, img_cols = 28, 28
train = pd.read_c... | null | cnn.py | cnn.py | py | 1,978 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "keras.backend.image_data_format",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "keras... |
206836660 | # Demonstrates how to send json messages with the request body.
json = {
'string': 'string data',
'bool': 'no',
'int': 1.5,
'direction': 'n'
}
domain = 'http://localhost:8000'
path = f'{domain}/pydantic'
def send_request(path, post=False, **kwargs):
import requests
if post:
try:
... | null | fastapi/02_post_json_test.py | 02_post_json_test.py | py | 919 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.post",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "requests.exceptions",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "requests.get",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "requests.exceptio... |
493394179 | from Coordonnees import Coordonnees
from Balle import Balle
from Barre import Barre
from Joueur import Joueur
from Menu import Menu
from Enum import Direction
from Enum import Cote
from Enum import Bouton
from Enum import Statut
import math
import random
import sys, pygame, time, numpy
from pygame.locals import *
# ... | null | code/Simulateur.py | Simulateur.py | py | 6,859 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Enum.Statut.JEU_EN_COURS",
"line_number": 56,
"usage_type": "attribute"
},
{
"api_name": "Enum.Statut",
"line_number": 56,
"usage_type": "name"
},
{
"api_name": "Enum.Statut.PAUSE",
"line_number": 69,
"usage_type": "attribute"
},
{
"api_name": "Enum... |
176872297 | # coding:utf-8
from BaiTaAirport2_month.TestData.PictureBase64One import Base64Picture
from locust import HttpLocust,TaskSequence,task
from BaiTaAirport2_month.API.AirportProcess import *
from BaiTaAirport2_month.common.Log import MyLog
name = os.path.realpath(__file__).split("\\")[-1].split(".")[0]
log = MyLog(name=na... | null | BaiTaAirport2_month/LoadTest/api_security_ticket_check_B.py | api_security_ticket_check_B.py | py | 3,056 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "BaiTaAirport2_month.common.Log.MyLog",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "locust.TaskSequence",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "BaiTaAirport2_month.TestData.PictureBase64One.Base64Picture",
"line_number": 36,
... |
379853676 | # Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
from crhelper import CfnResource
import boto3
import logging
import json
import copy
logger = logging.getLogger(__name__)
# Initialise the helper, all inputs are optional, this example shows the defaults
he... | null | source/cfn-add-edge-lambda/cfn-add-edge-lambda.py | cfn-add-edge-lambda.py | py | 5,752 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "crhelper.CfnResource",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "boto3.client",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dumps",
... |
98526771 | from bs4 import BeautifulSoup
def get_url_walmart(search_term):
"""
:param search_term:
:return:
"""
template = "https://www.walmart.com/search?q={}"
search_term = search_term.replace(" ", "+")
url = template.format(search_term)
print(f"Constructed Walmart URL: \n >>{url}<<")
retu... | null | code/web/scraper/scrap/walmart.py | walmart.py | py | 1,892 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 26,
"usage_type": "call"
}
] |
381766515 | '''
Created on Sep 10, 2015
@author: David Zwicker <dzwicker@seas.harvard.edu>
'''
from __future__ import division
import logging
import numpy as np
from utils.math.distributions import lognorm_mean, DeterministicDistribution
__all__ = ['LibraryLogNormal']
class LibraryLogNormal(object):
""" represents a s... | null | sensing/binary_response/library_theory.py | library_theory.py | py | 5,120 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.sqrt",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.log",
"line_number": 44,
... |
384151569 | #!/usr/bin/env python3
# see https://github.com/NikolaiT/GoogleScraper for API details
# TODO make cache optional
# FIXME external config file option in config.py
# TODO support search multiple keywords
import argparse
import os, sys, re
sys.path.append('GoogleScraper')
from GoogleScraper import scrape_with_config, G... | null | run_image_search.py | run_image_search.py | py | 9,210 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "threading.Threa... |
371654795 | import json
import os.path as path
from scipy import stats
debug=True
CHANNELS_KEY = "Channels"
DATA_KEY = "Data"
REFERENCE_CHART_KEY = "reference"
TEST_CHART_KEY = "test"
def ping():
"""
Method to validate that this script has been imported and is accessible
"""
print("file {0} is here!".format(__nam... | null | dtk/tools/serialization/ks_channel_testing.py | ks_channel_testing.py | py | 3,531 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "json.load",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 30,
... |
227760850 | #!/usr/bin/env python3
from fastapi import FastAPI, Response, Request, Header
from pydantic import BaseModel
app = FastAPI()
TOKEN = "secret"
# ---------------------------------------------------------------------------
# - Token auth method -
# ------------------------------------------------------------------------... | null | sandbox/vim/templates/fastapi_template.py | fastapi_template.py | py | 2,151 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "fastapi.FastAPI",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "fastapi.Request",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "fastapi.Response",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "pydantic.BaseModel",
... |
140831095 | #!/usr/bin/env python
#import numpy as np
#import pandas as pd
#from sqlalchemy import create_engine
#from snowflake.sqlalchemy import URL
import snowflake.connector
import os, sys
import json
import csv
rolesDict = {}
dbSchema = {}
with open('elems_last.json') as json_file:
data = json.load(json_file)
#ro... | null | RBAC_VisualCrt/Project2/getting-started/py/csv2db-vz.py | csv2db-vz.py | py | 7,973 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "snowflake.connector.connector.connect",
"line_number": 92,
"usage_type": "call"
},
{
"api_name": "snowflake.connector.connector",
"line_number": 92,
"usage_type": "attribute"
},
{
... |
316711608 | import sys
import wx
import os
from hashlib import sha1
from time import strftime, localtime, time
from traceback import format_exc
from urllib import quote, unquote
from BitTornado.bencode import bencode, bdecode
from BitTornado.magnet import MAGNET_PREFIX, HashToMagnet, getHash, getArgument
from files ... | null | LMG/Torrent/torrent.py | torrent.py | py | 29,804 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "BitTornado.magnet.getArgument",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "LMG.Utility.helpers.forceunicode",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "urllib.unquote",
"line_number": 41,
"usage_type": "call"
},
{
"api... |
102888845 | #!usr/bin/python3
#File: baseline.py
#Author: Thijs Horstman
#Date: 01-06-2017
#Description: Naive Bayes baseline for prediction MBTI dimensions for Twitter users.
#---------------------------
#Imports
#---------------------------
#scikit imports
import numpy as np
import argparse
from sklearn.naive_bayes import Mult... | null | baseline.py | baseline.py | py | 7,874 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "nltk.tokenize.TweetTokenizer",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "os.pat... |
326303817 | import sqlalchemy as db
from sqlalchemy.orm.session import sessionmaker
import json
class BaseDao:
def __init__(self, table):
self.table = table
engine = db.create_engine("mysql+mysqlconnector://topskills01:ts2019@mysql.topskills.dev:3306/topskills01")
session_mk = sessionmaker()
ses... | null | Aula55Desafio/dao/base_dao.py | base_dao.py | py | 1,157 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.session.sessionmaker",
"line_number": 8,
"usage_type": "call"
}
] |
518163642 | import csv # built in
import datetime as dt # built in
import feather
import math # built in
import matplotlib.pyplot as plt
import numpy as np
import os # built in
import pandas as pd
import random # built in
import sklearn as sk
from sklearn import metrics # import accuracy-score classification_report, confusion_m... | null | bin/01-jk-credit-card-data-dtree.py | 01-jk-credit-card-data-dtree.py | py | 7,861 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "sklearn.tree.DecisionTreeClassifier",
"line_number": 30,
"usage_type": "call"
... |
390629475 | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 15 12:41:29 2018
@author: Rohit
"""
from __future__ import print_function
from __future__ import division
import os
import math
from nltk.corpus import stopwords
from nltk.tokenize import RegexpTokenizer
from nltk.stem import PorterStemmer
import matplotlib... | null | assignment-3/bonus.py | bonus.py | py | 13,005 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "math.log10",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "os.walk",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 82,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number": 85,... |
605124336 | from django.conf.urls import url
from .views import *
urlpatterns = [
url(r'^$', foodfinder, name='foodfinder'),
url(r'^search$', foodsearch, name='foodsearch'),
url(r'^recipedisplay$', recipedisplay, name='recipedisplay'),
url(r'^testingdummy', testingdummy, name="testdummy")
#write URLS to grab extra data be... | null | feedzonefinder_project/feedzone_app/urls.py | urls.py | py | 394 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.co... |
105951944 | import os
import json
import requests
if not os.path.isdir('data_source/data_from_creeper'):
os.makedirs('data_source/data_from_creeper')
if not os.path.isdir('data_source/data_from_creeper/腾讯新闻疫苗数据'):
os.makedirs('data_source/data_from_creeper/腾讯新闻疫苗数据')
def China_vaccines_daily_trend_func():
url = '... | null | data_source/腾讯新闻疫苗数据.py | 腾讯新闻疫苗数据.py | py | 6,542 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.isdir",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.makedirs",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_number"... |
369721292 | import os
import numpy as np
from config import conf
from lib.utility import utils
from lib.model.dlnn_karal import Dlnn as dlnn
def main():
meta = utils.pickle_load(conf.METADATA_FILE)
label_and_data = utils.pickle_load(conf.DATA_FILE)
np.random.shuffle(label_and_data)
length = len(label_and_data)
... | null | ML/Categolization/News/Play/lib/trainer/trainer2.py | trainer2.py | py | 1,287 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "lib.utility.utils.pickle_load",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "lib.utility.utils",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "config.conf.METADATA_FILE",
"line_number": 10,
"usage_type": "attribute"
},
{
"ap... |
100198860 | import re
from bs4 import BeautifulSoup
from error import BookingServiceError
from model.booking import Booking
from model.event import Event
from service import raven_service
BOOKING_SERVICE_URL = 'https://www.mealbookings.cai.cam.ac.uk/index.php'
_AVAILABLE_EVENTS_CACHE = None
_ATTENDEE_NAME_CACHE = {}
_MENU_TEXT_C... | null | service/booking_service.py | booking_service.py | py | 7,127 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "service.raven_service.get_default_authenticated_browser",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "service.raven_service",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 26,
"usage_type": "call"... |
110726260 | '''
GAN:
基于分钟股价数据的生成模型，数据特征是1个交易日内分钟股价数据、成交量数据，
数据标签是交易日开收盘价和最高最低价以及成交量，也就是1日的特征累加和。
基于消息向量的生成模型，特征分成两个部分：
一是休市阶段，对应于下一个交易日开始的n分钟股价
二是开市阶段，对应于与其接近的一段时间的股价分钟数据。
股价一个时间点的数据不太具备参考性，将n分钟时间段的股价数据作为标签。
相当于标签是一个多维的时间序列，比如将涨跌1%以内的都划分成1个区间，涨跌2%以内的超过1%的划分为1个区间
分钟数据剧烈波动的可能性比较小，所以考虑采用对数函数划分区间。
划分区间做标签可以减少标签空间的大小，便于模型学习。
... | null | bin/gan/models_GAN.py | models_GAN.py | py | 6,621 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
50618567 | # -*- coding:utf-8 -*-
# Name: bit_num
# Product_name: PyCharm
# Description:
# Author : 'zhangjiawen'
# Data : 2019-12-24 9:27
from functools import reduce
from .base_bit_num import BaseBitNum, NUM
class BitNum(object):
def __init__(self, val, bit=NUM):
self._val = val
self._bit = bit.num_bit
... | null | crypt/bit_num.py | bit_num.py | py | 1,175 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "base_bit_num.NUM",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "base_bit_num.BaseBitNum",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "base_bit_num.NUM.num_bit",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name":... |
527271106 | import pymongo
MONGO_URL = "192.168.0.8"
MONGO_PORT = 27017
MONGO_DB = "itjuzi"
MONGO_COLLECTION = "company_list_test"
MONGO_COLLECTION2 = "merger_list"
MONGO_COLLECTION3 = "financing_list"
MONGO_USER = "indexvc"
MONGO_PSW = "indexvc01"
client = pymongo.MongoClient(MONGO_URL)
# client.admin.authenticate(MONGO_USER, ... | null | new_itjuzi/config.py | config.py | py | 353 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 13,
"usage_type": "call"
}
] |
218886378 | from WEB_Flask_sqlalchemy.Task_1.data import db_session
from WEB_Flask_sqlalchemy.Task_1.data.jobs import Jobs
from flask import Flask
from flask import render_template
app = Flask(__name__)
app.config['SECRET_KEY'] = 'yandexlyceum_secret_key'
listUser = []
@app.route("/")
def Program():
return render_templat... | null | Task_1/Work log.py | Work log.py | py | 993 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "WEB_Flask_sqlalchemy.Task_1.data.db_session.global_init",
"line_number": 18,
"usage_type": "call"
},
... |
634248425 | """
CEASIOMpy: Conceptual Aircraft Design Software
Developed by CFS ENGINEERING, 1015 Lausanne, Switzerland
This programm stors all function needed for stability analysis (dynamic and static)
Python version: >=3.6
| Author: Loic Verdier
| Creation: 2020-02-24
| Last modifiction: 2020-03-25 (AJ)
TODO:
* ...
"... | null | ceasiompy/StabilityStatic/func_static.py | func_static.py | py | 17,149 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ceasiompy.utils.ceasiomlogger.get_logger",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": ... |
114030915 | import sys
from setuptools import setup, find_packages
if not '2.5' <= sys.version:
raise ImportError('Python version not supported')
tests_require = []
with open("LICENSE", 'r') as f:
LICENSE = f.read()
setup(
name="Inflector",
version="2.0.7",
description="A port of ROR's inflector class",
... | null | setup.py | setup.py | py | 851 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.version",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "setuptools.setup",
"line_number": 13,
"usage_type": "call"
}
] |
17063990 | from django.conf import settings
from django.conf.urls import url
from . import views
from . import feed
doc_urlpatterns = [
url(r"^$", views.view_document, name="view-document"),
]
urlpatterns = [
url(r"^list$", views.list_proposals, name="list-proposals"),
url(r"^closed$", views.closed_proposals),
... | null | server/proposal/urls.py | urls.py | py | 852 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "django.... |
119153805 | import torchvision
from torchvision.models.detection.backbone_utils import resnet_fpn_backbone
from torchvision.models.detection.faster_rcnn import FasterRCNN, FastRCNNPredictor
def fasterrcnn_resnet_fpn(num_classes, backbone_name='resnet18',
pretrained_backbone=True, progress=True, **kwargs... | null | src/models.py | models.py | py | 857 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torchvision.models.detection.fasterrcnn_resnet50_fpn",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "torchvision.models",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torchvision.models.detection.faster_rcnn.FastRCNNPredictor",
"line... |
264734314 | import torchvision.transforms as transforms
from torch.utils.data import DataLoader
from detectron2.config import get_cfg
from detectron2.utils.visualizer import Visualizer
from detectron2.data import MetadataCatalog, DatasetCatalog
import detectron2
import os, json, cv2, random
import matplotlib.pyplot as plt
from tqd... | null | week4/Code/model_training.py | model_training.py | py | 11,736 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.__version__",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "torch.cuda.is_available",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch.cuda",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "detect... |
314635486 | from summit.strategies.base import Transform
from summit.experiment import Experiment
from summit.domain import *
from summit.utils.dataset import DataSet
import numpy as np
from scipy.integrate import solve_ivp
class MIT_case1(Experiment):
"""Benchmark representing a simulated kinetic reaction network and accomp... | null | summit/benchmarks/MIT/MIT_kin_case1.py | MIT_kin_case1.py | py | 5,223 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "summit.experiment.Experiment",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "numpy.random.default_rng",
"line_number": 47,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 47,
"usage_type": "attribute"
},
{
"api_name":... |
53642753 | """lonelyplanet URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.10/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')
Cla... | null | backend/app/urls.py | urls.py | py | 2,823 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "django.contrib.admin.site",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 27,
"usage_type": "name"
},
{
"api_name... |
416975000 | from typing import List, Set, Dict, Tuple, Optional
import utils.aq_exposures as aq_exps
class PathAqiAttrs:
"""Holds and manipulates all AQI related path attributes.
"""
def __init__(self, path_type: str, aqi_exp_list: List[Tuple[float, float]]):
self.path_type: str = path_type
self.aqi_e... | null | src/app/path_aqi_attrs.py | path_aqi_attrs.py | py | 1,970 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.List",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "utils.aq_exposures.get_mean_aqi",
... |
233934032 | from Model import PCA
import numpy as np
import DataProcessing as dp
import matplotlib.pyplot as plt
def test(X, Y, k, r=10, weighted=False):
result = np.empty(r)
for i in range(r):
X_train, Y_train, X_test, Y_test = dp.split(X,Y,p=0.20)
pca = PCA(X_train,Y_train)
pca.fit()
pr... | null | Src/Main.py | Main.py | py | 1,346 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.empty",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "DataProcessing.split",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "Model.PCA",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
... |
369405247 | # from torchnlp.datasets import penn_treebank_dataset
from utils.preprocessing import (
load_params,
clean_str,
CharsVocabulary,
WordsVocabulary,
)
from utils.dataloader import DataLoader
from models.model import CharCNNLSTM
import argparse
import os
import torch
import torch.nn as nn
import torch.optim... | null | test.py | test.py | py | 3,774 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_n... |
553534713 | import numpy as np
import pickle
from galpy import potential
from galpy.df import dehnendf, evolveddiskdf
from scipy.optimize import minimize
from astropy import units as u
import warnings
warnings.filterwarnings('ignore')
def pickle_data(filename, data):
output = open(filename, 'wb')
pickle.dump(data, output)... | null | warm_spiral.py | warm_spiral.py | py | 2,350 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "astropy.units.Gyr",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "astropy.uni... |
630512388 | import numpy as np
import networkx as nx
from math import pi
from scipy.optimize import basinhopping
from scipy.optimize import minimize
import sys
sys.path.insert(0, '../common/')
import os
import matplotlib.pyplot as plt
import common
import pickle
import random
import time
import datetime
def find_best(monte, p, nu... | null | monte-best-found/post_best.py | post_best.py | py | 1,913 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.insert",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "numpy.max",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number"... |
642049663 | import random
import string
from flask import Flask, render_template, redirect, request, url_for
from flaskext.mysql import MySQL
mysql = MySQL()
app = Flask(__name__)
app.config['MYSQL_DATABASE_USER'] = 'root'
app.config['MYSQL_DATABASE_PASSWORD'] = '1ga12cs060'
app.config['MYSQL_DATABASE_DB'] = 'flaskdemo... | null | print_toprankers_eachdivision/app.py | app.py | py | 1,876 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flaskext.mysql.MySQL",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "flask.render_tem... |
369838462 | # -*- coding: utf-8 -*-
import cPickle as pickle
from BeautifulSoup import BeautifulSoup
import os
import lxml.html as HTML
import random
import time
f_gsid_st = open("/home/sf/shouji/gsid_st.txt","r")
gsid = pickle.load(f_gsid_st)
f_gsid_st.close()
f_uiddata = open('/home/sf/shouji/uiddata.txt','r')
uiddata = pick... | null | xx.py | xx.py | py | 5,321 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cPickle.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "cPickle.load",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "lxml.html.fromstring",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "lxml.html",
"line_... |
638346238 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Test for viewdatabase and related functions
Created on Thu Mar 19 13:35:28 2020
@author: kallstadt
"""
import os
import shutil
import numpy as np
import tempfile
# third party
from impactutils.io.cmd import get_command_output
# where is this script?
homedir = os.p... | null | tests/viewdb_test.py | viewdb_test.py | py | 3,039 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
646330614 | # skl2.py
# Logistic Regression using SCIKIT Learn
'''
Using vectorizer:
https://machinelearningmastery.com/prepare-text-data-machine-learning-scikit-learn/
'''
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.feature_extraction.text import CountVec... | null | TextMining/test/sklLR.py | sklLR.py | py | 4,043 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.feature_extraction.text.CountVectorizer",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "sklearn.linear_model.LogisticRegression",
"line_numb... |
147983977 | # -*- coding: UTF-8 -*-
"""
base class and functions to handle with hmp file and GWAS results
"""
import re
import sys
import numpy as np
import pandas as pd
import os.path as op
from tqdm import tqdm
from pathlib import Path
from subprocess import call
from collections import Counter
from schnablelab.apps.base import... | null | autoGWAS/base.py | base.py | py | 23,533 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.abspath",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_n... |
56645408 | import os
import json
from functools import partial
# TEMPORARY SOLUTION
import warnings
warnings.filterwarnings("ignore", message="numpy.dtype size changed")
warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
import numpy as np
from sklearn.externals import joblib
import librosa
import torch
fro... | null | musmtl/tool.py | tool.py | py | 6,923 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "warnings.filterwarnings",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.path.split... |
191434584 | import numpy as np
from utils.Utils import *
from preferentialnet.PNetwork import *
import sklearn.preprocessing as prep
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
from dataprovider.cifar import *
from models.MultilayerCNN import *
import pickle
cifarData = CifarData... | null | experiment_cnn.py | experiment_cnn.py | py | 6,809 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "numpy.random.randint",
"line_number": 26,
"usage_type": "call"
},
{
"a... |
111486981 | import numpy as np
import matplotlib.pyplot as plt
def plot_data1d(data1d_fname, ax=None, xlim=None, linestyle='-', marker=None,
title=None, axis_fontsize=20, tick_labelsize=16):
# read in the data file
data = np.genfromtxt(data1d_fname)
# plot the data
if ax is None: ax = plt.gca()
... | null | component_learning/bandwidth_selection/kde_visual_utils.py | kde_visual_utils.py | py | 3,034 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.genfromtxt",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.gca",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "numpy.genfrom... |
565916727 | import glob
from datetime import datetime
first_part = "tmp/users/results/"
second_part = "_real.txt"
starting_index = len(first_part)
ending_index = len(second_part)
def get_name_and_type(oname):
name = oname[:]
if name.endswith("_AR"):
log_type = "AR"
name = name[:-3]
elif name.endswith("_player"):
log_... | null | StudentAnalysis/results_to_csv.py | results_to_csv.py | py | 1,609 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "glob.glob",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "glob.glob",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
... |
492351394 | """
This is for pytest to find and stop being upset not finding any tests.
>>> 'Happy?'[:-1]
'Happy'
"""
# pylint: disable=C0111,W0621
import os
import pytest # type: ignore
from xfmt import json_fmt, misc
_BAD_SAMPELS = [
"mumbo_jumbo.json",
"nested_directory/argle_bargle.json",
"short_and_squat.py",
]... | null | tests/test_xfmt.py | test_xfmt.py | py | 1,614 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.normpath",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "xfmt.misc.get_formatters",... |
201294389 | import os
import math
import numpy
import datetime
import functools
import iris
import cf_units
import iris.coord_categorisation
import forest.util
import forest.data
def conv_func(coord, value):
'''Create a new time coordinate in an iris cube, with values
to the previous hour divisible by three, i.e. ... | null | bokeh_apps/plot_sea_model_and_gpm_mpl/model_gpm_data.py | model_gpm_data.py | py | 8,180 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "math.floor",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.sum",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 60,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 60,
... |
88695668 | import pytest
from grandchallenge.algorithms.serializers import (
AlgorithmImageSerializer,
AlgorithmSerializer,
HyperlinkedJobSerializer,
)
from tests.algorithms_tests.factories import (
AlgorithmFactory,
AlgorithmImageFactory,
AlgorithmJobFactory,
)
from tests.serializer_helpers import (
... | null | app/tests/algorithms_tests/test_serializers.py | test_serializers.py | py | 1,763 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tests.serializer_helpers.do_test_serializer_valid",
"line_number": 50,
"usage_type": "call"
},
{
"api_name": "tests.serializer_helpers.do_test_serializer_fields",
"line_number": 53,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 19,
"us... |
216736840 | from data import paginatedLeaderboard
from decorators import help
import discord
from discord.ext import commands
from enums.help_categories import Category
from enums.numbers import Numbers
from functions import checks, xp
from functions.database import currency, stats, poke, muttn
import math
import requests
# TODO... | null | cogs/leaderboards.py | leaderboards.py | py | 9,613 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "discord.ext.commands.Cog",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "discord.ext.commands",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "discord.Embed",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "disc... |
445782767 |
import nltk,re
import enchant
d=enchant.Dict("en_US")
from keras.preprocessing.text import Tokenizer
def feature_getter(text):
try:
text=text.decode('utf-8')
except:
pass
text1=re.sub(r'[^\x00-\x7F]+',' ', text)
text=text1
features=[]
tokens=[]
sentences=nltk.sent_tokenize(text)
[tokens.extend(nltk.word_t... | null | additional_feature_getter.py | additional_feature_getter.py | py | 856 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "enchant.Dict",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "nltk.sent_tokenize",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "nltk.word_tokenize",
"line_... |
61167671 | import math
import cv2
import numpy as np
import dlib
detector = dlib.get_frontal_face_detector()
cap = cv2.VideoCapture(0)
while True:
_, frame = cap.read()
frame = cv2.flip(frame, 1)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = detector(frame)
print(faces)
for face in faces:
... | null | face_Scrap_Dlib.py | face_Scrap_Dlib.py | py | 635 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "dlib.get_frontal_face_detector",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "cv2.flip",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",... |
652050812 | from datetime import datetime
from django.utils import timezone
from student.tests.factories import CourseEnrollmentFactory
from xmodule.modulestore.tests.factories import CourseFactory
import course_dashboard.stats as stats
from fun.utils import countries
from .base import BaseCourseDashboardTestCase
class StatsT... | null | course_dashboard/tests/test_stats.py | test_stats.py | py | 4,091 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "base.BaseCourseDashboardTestCase",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "course_dashboard.stats.EnrollmentStats",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "course_dashboard.stats",
"line_number": 18,
"usage_type": "name"
... |
171877305 | from cosmic.evolve import Evolve
import numpy as np
import pandas as pd
import os
call = os.system
import sys
import subprocess
import h5py
import argparse
sys.path.append("./inits")
import run_config
import astropy.units as u
import astropy.constants as c
import BatchRunSN as SN
sys.path.append(run_config.LMXB_INSTALL... | null | RunBSESN.py | RunBSESN.py | py | 5,940 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.system",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"li... |
538772044 | from django.shortcuts import render
from price.models import Woman, Man, Dlinna, Nails, Nails_type,Other, Other_type
def price(request):
return render(request, 'price/price.html', locals())
def nogty(request):
nails_3 = Nails.objects.filter(type_id = 3)
nails_2 = Nails.objects.filter(type_id = 2)
nails... | null | price/views.py | views.py | py | 1,021 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.shortcuts.render",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "price.models.Nails.objects.filter",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "price.models.Nails.objects",
"line_number": 7,
"usage_type": "attribute"
},
{... |
323850903 | from flask import Flask, render_template, request, redirect, url_for
application = Flask(__name__)
alphabet = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ !?1234567890,.:()-=+{}[]*&^%£";<>#~@\/'
@application.route('/', methods=['GET'])
def show_form():
message = request.args.get('message', '')
encry... | null | application.py | application.py | py | 1,453 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "flask.request.args.get",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "flask.request.args",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "flask.request... |
499270633 | from django.shortcuts import render, redirect
from django.contrib.auth.decorators import login_required
from .models import Image, Profile, Likes, Comments, User
from django.db import models
import cloudinary
import cloudinary.uploader
import cloudinary.api
# Create your views here.
@login_required(login_url='/acco... | null | pixels_app/views.py | views.py | py | 5,596 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "models.Image.objects.all",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "models.Image.objects",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "models.Image",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "djang... |
248421519 | '''formats/json_cutlist.py'''
"""
Make a pre-edited file reference that can be inputted back into auto-editor.
"""
import os
import json
def read_json_cutlist(json_file, version, log):
with open(json_file, 'r') as f:
data = json.load(f)
if(data['presets']['version'] != version):
log.warning(... | null | auto_editor/formats/make_json.py | make_json.py | py | 1,135 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.load",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_num... |
549951596 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Doku: http://www.crummy.com/software/BeautifulSoup/bs4/doc/
# in Word als Webseite, gefiltert exportieren
# vorher in UTF-8 (ohne BOM?) konvertieren
from bs4 import BeautifulSoup
import codecs
import re
import os
def convert_to_lca_style(filename):
outfile = open(... | null | python/clean-word-markup-table.py | clean-word-markup-table.py | py | 1,506 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "bs4.BeautifulSoup",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.listdir",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 52,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_n... |
561791394 | import torch
import torch.nn as nn
def get_state_dict_on_cpu(obj):
'''
args: model
Move model.data to cpu
state_dict.keys like ['Pconv1.weight', 'Pconv2.weight'...]
state_dict[key] is weight.data
'''
cpu_device = torch.device('cpu')
state_dict = obj.state_dict()
for ke... | null | xuggg/utils/io.py | io.py | py | 1,629 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.device",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "torch.save",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "torch.load",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "torch.nn.Module",
"line_number... |
224949783 | # -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html
from scrapy.pipelines.images import ImagesPipeline
from scrapy.exceptions import DropItem
import scrapy
import re
headers = {
... | null | qiankuwang/qiankuwang/pipelines.py | pipelines.py | py | 1,424 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "scrapy.pipelines.images.ImagesPipeline",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "scrapy.Request",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "scrapy.e... |
444651658 | import synapse.tests.utils as s_test
class StormHttpTest(s_test.SynTest):
async def test_storm_http_get(self):
async with self.getTestCore() as core:
addr, port = await core.addHttpPort(0)
core.insecure = True
text = '''
$hdr = (
("U... | null | synapse/tests/test_lib_stormhttp.py | test_lib_stormhttp.py | py | 788 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "synapse.tests.utils.SynTest",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "synapse.tests.utils",
"line_number": 3,
"usage_type": "name"
}
] |
313346081 | import os
#os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID"
#os.environ["CUDA_VISIBLE_DEVICES"]="0"
import numpy as np
import random
import pickle as pkl
from model_zoo import *
from multiprocessing import cpu_count
from tensorflow.keras.callbacks import EarlyStopping, LambdaCallback, ReduceLROnPlateau, CSVLogger, ModelCh... | null | train.py | train.py | py | 3,615 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 3... |
114180943 | #!/usr/bin/env python
# coding=utf-8
import os
from iron_worker import *
from config import ICON_WORKER_TOKEN, ICON_WORKER_PROJECT_ID
def add_dir(files, dir_name):
names = os.listdir(dir_name)
for name in names:
basename, ext = os.path.splitext(name)
if ext == '.pyc':
continue
... | null | update_worker.py | update_worker.py | py | 887 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.listdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_num... |
160867762 | import os
import configparser as cparser
class Conf:
def __init__(self):
# 定位当前脚本所在位置的上级
base_dir = str(os.path.dirname(__file__))
# 对文件路径进行格式处理
base_dir = base_dir.replace("\\", "/")
# 定位到api_config.ini文件
file_path = base_dir + "/url.ini"
# ConfigParser功能—... | null | DiffTest/config/readConfig.py | readConfig.py | py | 817 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.dirname",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "configparser.ConfigParser",
"line_number": 15,
"usage_type": "call"
}
] |
393732172 | import asyncio
import functools
import pathlib
import aioftp
import nose
PORT = 8888
@nose.tools.nottest
def aioftp_setup(*, server_args=([], {}), client_args=([], {})):
def decorator(f):
@functools.wraps(f)
def wrapper():
s_args, s_kwargs = server_args
c_args, c_kwar... | null | tests/common.py | common.py | py | 2,724 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "asyncio.new_event_loop",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "asyncio.set_event_loop",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "aioftp.Server",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "aioftp.Cl... |
615288934 | from collections import deque
from calculador import Calculador
class Balanca(object):
"""
A Balanca pode atender uma entidade por vez.
Ela deve ter uma fila FIFO, usar popleft() para remover da fila.
Existe um Tempo de Balanco (TP - segundo enunciado) que deve ser repassado ao caminhao par... | null | src/balanca.py | balanca.py | py | 4,536 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.deque",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "calculador.Calculador",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "collections.deque",
"line_number": 23,
"usage_type": "call"
}
] |
319619566 | from copy import deepcopy
from typing import List
from typing import Set
from typing import Tuple
from typing import Union
import numpy as np
import pandas as pd
import pytest
from typing_extensions import Literal
from etna.datasets import TSDataset
from etna.ensembles.stacking_ensemble import StackingEnsemble
from e... | null | tests/test_ensembles/test_stacking_ensemble.py | test_stacking_ensemble.py | py | 9,899 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "etna.pipeline.Pipeline",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "pytest.raises",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "etna.ensembles.stacking_ensemble.StackingEnsemble",
"line_number": 23,
"usage_type": "call"
},
{... |
118693042 | import requests
import spotipy
from spotipy.oauth2 import SpotifyOAuth
from bs4 import BeautifulSoup
client_id = "Enter ID"
client_secret = "Secret"
# Ask user for a date
user_input = input(
"Which year do you want to travel to? Type the date in this format YYYY-MM-DD"
)
# Build url based on user input
base_url ... | null | Day_46/main.py | main.py | py | 1,943 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "spotipy.Spotify",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "spotipy.oauth2.Spotify... |
353220025 | # -*- coding:utf-8 -*-
from pyecharts import Bar
import csv
bar = Bar("各年份就业人数堆叠图", title_pos="left", width=1000)
filename = "file.csv"
datax = []
with open(filename) as f:
reader = csv.reader(f)
for datarow in reader:
datax.append(datarow)
x = datax[0]
y1 = datax[1]
y2 = datax[2]
y3 = datax[3]
y4 = da... | null | homework/数据可视化第一次大作业/code_keshihua2.py | code_keshihua2.py | py | 739 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyecharts.Bar",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": 9,
"usage_type": "call"
}
] |
304894913 | import os
import cv2
import scipy
import scipy.io
import numpy as np
import pandas as pd
import torchvision.transforms as transforms
from PIL import Image
from torch.utils.data import Dataset
__all__ = ['CarsDataset']
class CarsDataset(Dataset):
def __init__(self, mat_anno, data_dir, car_names, transform=Non... | null | dataset.py | dataset.py | py | 1,824 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.utils.data.Dataset",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "scipy.io.loadmat",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "scipy.io",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "scipy.io.load... |
638228376 | import json
import os
from cfenv import AppEnv
env = AppEnv()
from regcore.settings.base import *
REGCORE_APPS = tuple(INSTALLED_APPS)
REGCORE_DATABASES = dict(DATABASES)
from regulations.settings.base import *
REGSITE_APPS = tuple(INSTALLED_APPS)
INSTALLED_APPS = ('overextends', 'fec_eregs',) + REGCORE_APPS + REGS... | null | fec_eregs/settings/base.py | base.py | py | 1,360 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cfenv.AppEnv",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path.dirname",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_... |
378224364 | # coverage: ignore
# 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, so... | null | src/openfermion/resource_estimates/pbc/sparse/generate_costing_table_sparse_test.py | generate_costing_table_sparse_test.py | py | 1,675 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "openfermion.resource_estimates.HAVE_DEPS_FOR_RESOURCE_ESTIMATES",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "openfermion.resource_estimates.pbc.testing.make_diamond_113_szv",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "numpy.array",
... |
337025503 | #__coding__:'utf-8'
#auther:ly
from openpyxl import load_workbook
from kx_api.common.my_config import MyConfig
class DoExcel:
'''该类完成从excel中读取数据，并写回测试结果'''
def __init__(self,file_name):
self.file_name = file_name #excel工作簿文件名或者路径
self.my_config = MyConfig()
def read_data(self,sheet_name):... | null | common/do_excel.py | do_excel.py | py | 3,201 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "kx_api.common.my_config.MyConfig",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "openpyxl.load_workbook",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "kx_api.common.my_config.MyConfig",
"line_number": 47,
"usage_type": "call"
},
... |
122224761 | from bs4 import BeautifulSoup
from urllib.request import Request, urlopen
url = 'https://fortnitestats.net/stats/AshinGod'
hdr = {'User-Agent': 'Mozilla/5.0'}
req = Request(url,headers=hdr)
page = urlopen(req)
soup = BeautifulSoup(page, "lxml")
try:
overall_stats = soup.find_all('h3')
counter = 0
for val... | null | scraper.py | scraper.py | py | 892 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "urllib.request.Request",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "urllib.request.urlopen",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 8,
"usage_type": "call"
}
] |
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