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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
98726534 | from PIL import Image
from os import listdir
from os.path import isfile, join, splitext
m_q_size = (480, 360)
h_q_size = (640, 480)
xh_q_size = (960, 720)
output_sizes = [m_q_size, xh_q_size]
quality = 70
_path = "C:/Users/Lukasz/Python/ErroresBuenos/assets/\
photos/resizing/resize_queue/"
files = [f for f in listd... | null | lalang/auxil/png_to_webp.py | png_to_webp.py | py | 796 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.listdir",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.isfile",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "os.path.splitext",
"line_n... |
300266135 | from torch_geometric.datasets import Planetoid
import torch
import torch.nn.functional as F
from torch_geometric.nn import GCNConv
from torch_geometric.data import DataLoader
class Net(torch.nn.Module):
def __init__(self):
super(Net, self).__init__()
self.conv1 = GCNConv(dataset.num_features, 16... | null | src/gcn_first.py | gcn_first.py | py | 1,513 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch_geometric.nn.GCNConv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "torch_geometric.nn.GCNConv",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "t... |
14211568 | from flask import Flask, jsonify, abort, make_response, request
import json
import numpy as np
import shapefile
import pymongo
myclient = pymongo.MongoClient("mongodb://localhost:27017/")
mydb = myclient["mongo_1"]
app = Flask(__name__)
@app.route('/dogis/api/v1.0/getusers', methods=['POST'])
def upload_info():
... | null | dogis-api/app.py | app.py | py | 2,110 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pymongo.MongoClient",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.get_json",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.request",... |
401122694 | import pywt
import math
import time
# 导入所需的第三方库文件
import numpy as np #对应numpy包
from PIL import Image #对应pillow包
from scipy.misc import imsave
import cv2
def comprase(image,lie,hang,sampleRate):
#sampleRate=0.01 #采样率
Phi=np.random.randn(hang,hang)
u, s, vh = np.linalg.svd(Phi)
Phi = u[:int(hang*sa... | null | smallbo.py | smallbo.py | py | 2,506 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.randn",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "numpy.linalg.svd",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.linalg",
... |
535148961 | import os
import cv2
import pickle
from PIL import Image
import numpy as np
image_dir ="C:\\Users\\Omen\\Desktop\\AI\\Project\\images"
face_cascade=cv2.CascadeClassifier('C:\\Users\\Omen\\Desktop\\AI\\Project\\haarcascade_frontalface_alt2.xml')
recognizer =cv2.face.LBPHFaceRecognizer_create()
x_train = []
y_... | null | trainer.py | trainer.py | py | 1,356 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.CascadeClassifier",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "cv2.face.LBPHFaceRecognizer_create",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "cv2.face",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "o... |
218076694 | from typing import Optional, Tuple
from numpy import floor
import gdsfactory as gf
from gdsfactory.component import Component
from gdsfactory.components.compass import compass
from gdsfactory.components.via import via1, via2, via3
from gdsfactory.tech import LAYER
from gdsfactory.types import ComponentOrFactory, Laye... | null | gdsfactory/components/via_stack.py | via_stack.py | py | 2,576 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.Tuple",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "gdsfactory.types.Layer",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "typing.Optional",
... |
285384305 | #coding:utf-8
#使用lstm 老办法 ，placeholder那种
# TARGET_PATH = "../../data/Train&Test/C1S4_newlabel_hybrid_timestep3/"#竖着拼四个
# TRAIN_FILE_NAME="hybrid_train_set.csv"
# VALID_FILE_NAME="hybrid_validate_set.csv"
TARGET_PATH = "../../data/Train&Test/C4S1_newlabel/"#横着拼4个
TRAIN_FILE_NAME="full_train_set.csv"
VALID_FILE_NAME="fu... | null | code_step1/model2/lstm_keras.py | lstm_keras.py | py | 9,529 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "warnings.filterwarnings",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "sklearn.preproces... |
545168708 | from bigram_model import BigramModel
from threading import Thread
import multiprocessing as mp
from tqdm import trange
from queue import Queue
from tqdm import tqdm
import numpy as np
class TopicModel:
def __init__(self, y_axis_count, y_axis_length, threshold):
self.bigram_model = BigramModel(threshold)... | null | notebooks/topic_model.py | topic_model.py | py | 7,280 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "bigram_model.BigramModel",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "tqdm.trange",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"lin... |
618700495 | import pygame
import os
from .Font import Font
from .Mouse import Mouse
from .. import settings
class CheckBox:
click_sound = None
@staticmethod
def _load_resources():
if CheckBox.click_sound is None:
CheckBox.click_sound = pygame.mixer.Sound(os.path.join(settings.music_folder, 'klick... | null | Game/UI/CheckBox.py | CheckBox.py | py | 1,828 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.mixer.Sound",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line... |
247202483 | import cv2
import numpy as np
import copy
############ Asking user ######################
print("Choose Tag Video")
print("press 0 for Tag0")
print("press 1 for Tag1")
print("press 2 for Tag2")
ent = int(input("Your input: "))
if ent == 0:
vid = cv2.VideoCapture('Tag0.mp4')
elif ent == 1:
vid = cv2.... | null | Computer Vision/Detection of Custom AR Tag/part2.py | part2.py | py | 9,017 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "cv2.VideoCapture",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"... |
398317803 | import pygame, sys
pygame.init()
# COULEURS
COULEUR_BLANCHE = pygame.Color(255, 255, 255)
COULEUR_NOIRE = pygame.Color(0, 0, 0)
COULEUR_ROUGE = pygame.Color(255, 0, 0)
COULEUR_VERTE = pygame.Color(0, 255, 0)
COULEUR_BLEUE = pygame.Color(0, 0, 255)
# FENETRE DE 400 SUR 400
ECRAN = pygame.display.set_mode((400,400))
E... | null | DESSIN.py | DESSIN.py | py | 1,494 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pygame.init",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "pygame.Color",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pygame.Color",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pygame.Color",
"line_number": ... |
319310299 | # pylint: disable=protected-access,no-self-use
import time
import re
from collections import OrderedDict
from logging import getLogger
from flask import request, g
from werkzeug.routing import RequestRedirect, MethodNotAllowed, NotFound
from ._version import __version__
WHITESPACE_RE = re.compile(r'\s')
_logger = ... | null | cachish/middleware.py | middleware.py | py | 3,605 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "re.compile",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flask.g._canonical_start_time",
"line_number": 35,
"usage_type": "attribute"
},
{
"api_name": "flask... |
133746209 | import asyncio
import json
import os
import random
import sys
import requests
import discord
from helpers.pekofy import pekofy
from helpers.extractstring import extract_string
from helpers.replied_reference import replied_reference
from helpers.bank_methods import Bank
from discord.ext import commands
from operator imp... | null | cogs/game.py | game.py | py | 5,825 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.isfile",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "sys.exit",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 2... |
597366177 | #!/usr/bin/env python
#===============================================================================
# GetHubOpenPortsAll
#
# Description:
# Script to open processed file (*pyInv.json) of Cisco hardware inventory and
# calculate quantities of used/available/total slots/cards/ports for every
# element (TID) inc... | null | src/GetHubOpenPortsAll.py | GetHubOpenPortsAll.py | py | 10,073 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "src.GetHubOpenPorts.getOpenSlotsFromJSON",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "src.GetHubOpenPorts",
"line_number": 54,
"usage_type": "name"
},
{
"api_name": "src.GetSlotProducts.getSlotProductIDFromJSON",
"line_number": 55,
"usage_typ... |
534716954 | # -*- coding: utf-8 -*-
"""
Created on Sun Sep 15 19:40:35 2019
@author: zephyrus
"""
import tweepy
# input user_id, key, secret, token, token_secret , max tweets num is 50 by default
def twitter_text(user_id,key,secret,token,token_secret,max_num=50):
auth = tweepy.OAuthHandler(key, secret)
auth.... | null | tweet_text.py | tweet_text.py | py | 933 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "tweepy.OAuthHandler",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tweepy.API",
"line_number": 14,
"usage_type": "call"
}
] |
606473353 | # -*- coding: utf-8 -*-
import random
import telebot
TOKEN = '311637383:AAFS1-pZNsec0ZUIZjqyq_n8A2KiHOkR5nU'
bot = telebot.TeleBot(TOKEN)
@bot.message_handler(commands=['start'])
def start(message):
bot.send_message(message.chat.id, 'Hey')
first_answers = ['Привет-привет, как жизнь?','Какие люди, ... | null | telegbot/bot.py | bot.py | py | 1,576 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "telebot.TeleBot",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.choice",
"line_number": 34,
"usage_type": "call"
}
] |
650430548 | # coding=utf-8
# created by msgi on 2020/4/10 10:15 上午
import torch
from transformers import BertForQuestionAnswering
from transformers import BertTokenizer
model = BertForQuestionAnswering.from_pretrained('bert-large-uncased-whole-word-masking-finetuned-squad')
tokenizer = BertTokenizer.from_pretrained('bert-large-u... | null | tutorials/06.transformers_tutorial/02.question_answer.py | 02.question_answer.py | py | 2,441 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "transformers.BertForQuestionAnswering.from_pretrained",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "transformers.BertForQuestionAnswering",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "transformers.BertTokenizer.from_pretrained",
"line_... |
629103900 |
import itchat
import json
import requests
from itchat.content import *
tuling = True
def tuling_msg(msg):
data = {
"reqType":0,
"perception": {
"inputText": {
"text": msg
}
},
"userInfo": {
"apiKey": "5ba9610c7db546b4b63fe8ab500... | null | source_code/wechat_auto_reply/wechat_control.py | wechat_control.py | py | 1,885 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.post",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "itchat.msg_register",
"line... |
173467421 | import sklearn
import numpy as np
import pandas as pd
from sklearn.utils import shuffle
from sklearn import linear_model, preprocessing
from sklearn.neighbors import KNeighborsClassifier
data = pd.read_csv('car.data')
print(data.head())
# we got too many string values and we are dealing with numbers so we have to con... | null | 2_KNN_(K_Nearest_Neighbour)/KNN.py | KNN.py | py | 1,279 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.LabelEncoder",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 12,
"usage_type": "name"
},
{
"api_name"... |
635498324 | import numpy as np
import pandas as pd
import math
import matplotlib.pyplot as plt
from sklearn import model_selection
from sklearn import svm
from sklearn import neighbors
from sklearn import ensemble
from sklearn import neural_network
from sklearn import linear_model
import sys
def main():
pgs2015, pgs2016, pgs20... | null | predictFromGameStats.py | predictFromGameStats.py | py | 4,920 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 75,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 76,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "numpy.concatenate",
... |
377902940 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('aristotle_dse', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='dssdeinclusion',
... | null | aristotle_dse/migrations/0002_auto_20150510_0249.py | 0002_auto_20150510_0249.py | py | 677 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.migrations.Migration",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.db.migrations",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.db.migrations.RemoveField",
"line_number": 14,
"usage_type": "call"
},
... |
534827377 | from pandas import DataFrame
from pandas import concat
from sklearn.metrics import mean_squared_error
from math import sqrt
from numpy import concatenate
import numpy as np
import tensorflow as tf
import datetime as dt
from utility import timeseries_to_3d, size_train_to_batch_size
from utility import scale
from utility... | null | LSTM/g04_full_model/g042_training_fit_assessment/experiment.py | experiment.py | py | 12,124 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "datetime.datetime.now",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "tensorflow.__version__",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name... |
498791803 | """
合并 k 个排序链表，返回合并后的排序链表。请分析和描述算法的复杂度。
示例:
输入:
[
1->4->5,
1->3->4,
2->6
]
输出: 1->1->2->3->4->4->5->6
"""
from typing import List
# Definition for singly-linked list.
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def mergeKLists(self, lists: Li... | null | merge_k_sorted_lists.py | merge_k_sorted_lists.py | py | 1,843 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.List",
"line_number": 26,
"usage_type": "name"
}
] |
288402308 | """
Flask web app connects to Mongo database.
Keep a simple list of dated memoranda.
Representation conventions for dates:
- We use Arrow objects when we want to manipulate dates, but for all
storage in database, in session or g objects, or anything else that
needs a text representation, we use ISO date ... | null | flask_main.py | flask_main.py | py | 4,692 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 48,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "CONFIG.MONGO_URL",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "uuid.uuid4",
... |
477978090 | #TODO: Pozostałe metody obliczania odległości
#TODO: Poprawić wczytywanie dla arythmii
#TODO: Żeby działało na obiektach a nie tablicach
#TODO: Usprawnienie wyświetlania
#TODO: Zliczenie poprawnie sklasyfikowanych obiektów ( potrzeba obiektów lub przypisania współrzędnych do klasy )
#TODO: testy i raport
import csv
i... | null | LBG/LBG.py | LBG.py | py | 7,322 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.preprocessing.MinMaxScaler",
"line_number": 137,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing",
"line_number": 137,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.rcParams",
"line_number": 176,
"usage_type": "attribute"
}... |
231903027 | #! /usr/bin/env python
import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
# 1) Load the data
def load_space_csv_data(file_name): # Panda function defined for easy data reading
df = pd.read_csv(file_name, delim_whitesp... | null | PM_week_1.py | PM_week_1.py | py | 2,354 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.asarray",
"lin... |
578814993 | import matplotlib.pyplot as plt
import numpy as np
def rk4(r, t, h):
""" Runge-Kutta 4 method """
k1 = h * func(r, t)
k2 = h * func(r + 0.5 * k1, t + 0.5 * h)
k3 = h * func(r + 0.5 * k2, t + 0.5 * h)
k4 = h * func(r + k3, t + h)
return (k1 + 2 * k2 + 2 * k3 + k4) / 6
def func(r, t):
x, y... | null | test.py | test.py | py | 926 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.arange",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"li... |
547971126 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
""" Manually encrypt a fragmented wep message given the WEP key"""
__author__ = "Remi Poulard, Caroline Monthoux"
__copyright__ = "Copyright 2019, HEIG-VD"
__license__ = "GPL"
__version__ = "1.0"
__email__ = "remi.poulard@heig-vd.ch, caroline.monthoux@heig-vd.ch"
__status... | null | files/manual-encryption-fragment.py | manual-encryption-fragment.py | py | 1,831 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Crypto.Random.get_random_bytes",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "zlib.crc32",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "rc4.RC4",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "scapy.layers.dot11.... |
24274696 | # Louis Wang. For OPD medical record.
# Ver 1.01,add moore general NE
from tkinter import *
from tkinter.ttk import *
from PIL import Image, ImageTk
main = Tk()
main.geometry('900x700')
main.title('理學檢查')
tabControl = Notebook(main)
tab1 = Frame(tabControl)
tab2 = Frame(tabControl)
tabControl.add(tab1, t... | null | medical_record.py | medical_record.py | py | 8,933 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PIL.Image.open",
"line_number": 193,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 193,
"usage_type": "name"
},
{
"api_name": "PIL.ImageTk.PhotoImage",
"line_number": 194,
"usage_type": "call"
},
{
"api_name": "PIL.ImageTk",
... |
352372007 | # djangotemplates/example/urls.py
from django.urls import path
from . import views
urlpatterns=[
path('', views.index, name='index'),
path('single/', views.single, name='single'),
path('contact/', views.contact, name='contact'),
path('test/', views.test, name='test' )
]
| null | news/urls.py | urls.py | py | 290 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
499853246 | """
Routes and views for the flask application.
"""
# https://docs.python.org/2/library/datetime.html#strftime-strptime-behavior
# Use the above link if you would like to change the formatting of date or time
from datetime import datetime
from flask import render_template, g, request
from Prototype import app
import sq... | null | Prototype/Prototype/Prototype/views.py | views.py | py | 5,297 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.g",
"line_number": 36,
"usage_type": "argument"
},
{
"api_name": "flask.g._database",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "sqlite3.connect",
"lin... |
294284835 | # coding=utf-8
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -----------------------------------------------------... | null | azext_iot/_factory.py | _factory.py | py | 5,494 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "azure.cli.core.commands.client_factory.get_mgmt_service_client",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "azure.mgmt.iothub.iot_hub_client.IotHubClient",
"line_number": 45,
"usage_type": "argument"
},
{
"api_name": "azure.cli.core.commands.client_f... |
83805035 | '''
name: skincluster.py
Author: Ehsan Hassani Moghaddam
History:
04/24/16 (ehassani) first release!
'''
import maya.cmds as cmds
from ...third_party import bSkinSaver
reload(bSkinSaver)
from ...lib import string
reload(string)
from ...lib import transform
reload(transform)
class Skincluster(object):
... | null | dev/maya/python/rig/template/skincluster.py | skincluster.py | py | 2,116 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "third_party.bSkinSaver",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "lib.string",
"line_number": 18,
"usage_type": "argument"
},
{
"api_name": "lib.transform",
"line_number": 21,
"usage_type": "argument"
},
{
"api_name": "lib.trans... |
509423052 | import argparse,sys,os,re
import json
import logging
import random
import time
import yaml
import pandas as pd
sys.path.append('..')
from utils import *
#from DialogueConfig import DialogueConfig
sys.path.append('/Users/jdlopes/multisensoryprocessing/src/python')
from farmi import FarmiUnit, farmi
from FlowState imp... | null | src/python/dialogue_flow/flow.py | flow.py | py | 27,031 | 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": "sys.path.append",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_nu... |
209231089 | import os
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
os.environ["CUDA_VISIBLE_DEVICES"] = "0,1,2,3,4,5"
import csv
import numpy as np
import random
import pandas as pd
from datasets import load_dataset, load_metric, Dataset
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_s... | null | ocr_correction/trainer_t5.py | trainer_t5.py | py | 4,231 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 2,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "transformers.utils.check_min_version",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tr... |
137882485 | from elasticsearch import Elasticsearch
import json
import numpy as np
import re
import time
from multiprocessing.dummy import Pool as ThreadPool
import io
import math
# 1. Goal: Represent the raw content of the query/table as a set of terms, where terms are entities from a knowledge base. {q1, ...., 1n} for query q a... | null | main.py | main.py | py | 7,221 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.zeros",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.argmax",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 39,... |
46180890 | from django.shortcuts import render,redirect
from django.http import HttpResponse
from .forms import ImageForm
import pyrebase
import shutil
import os
from .models import Image
firebaseConfig = {
'apiKey': "AIzaSyBHn-PVdt-neRToPoZIEVcsR-eMc0565NU",
'authDomain': "web-face-recognition.firebaseapp.com",
'dat... | null | add_image/views.py | views.py | py | 2,430 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyrebase.initialize_app",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "forms.Image... |
154748866 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import sys
import django
import argparse
import json
# python path
sys.path.append('/usr/lib/python2.7/dist-packages/')
sys.path.append('/usr/lib/python2.7/')
sys.path.append('/usr/local/lib/python2.7/dist-packages/')
sys.path.append('/data2/django_1.... | null | djequis/schoology/get_grading_scale.py | get_grading_scale.py | py | 2,379 | 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": "sys.path.append",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_nu... |
525134415 | #!encoding utf-8
from csv import DictWriter
from django.core.management.base import BaseCommand
import requests
import json
class Command(BaseCommand):
def handle(self, *args, **options):
print('Start.')
res = self.request_holidays_for_date('now', 'x')
holidays = res.copy()
holid... | null | kikar_hamedina/reporting/management/commands/get_shabbat_dates.py | get_shabbat_dates.py | py | 1,666 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "json.dump",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 45,
"usage_type": "call"
}
] |
50983295 | from tqdm import tqdm
import numpy as np
import tensorflow as tf
from . import util
# note: coordinates are assumed to be such that "y" increases "downwards",
# and "x" increases "rightwards".
# arrays will generally be indexed as array[y][x].
# directions are as indexed in arrays,
# defined as pseudo-constants here... | null | disparity/crf.py | crf.py | py | 14,337 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.exp",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "numpy.ones",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 70,... |
540289844 | import datetime
import json
import logging
import os
import threading
import time
try:
from urllib.parse import urlencode
except ImportError:
from urllib import urlencode
# N.B. the cryptography library is required when calling jwt.encrypt() with
# algorithm='RS256'. It does not need to be imported here, but t... | null | gcloud/rest/auth/token.py | token.py | py | 2,985 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "os.getenv",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "threading.RLock",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
... |
560381047 | import logging
from discord.ext import commands
from core.models import PermissionLevel
logger = logging.getLogger("Modmail")
def has_permissions_predicate(
permission_level: PermissionLevel = PermissionLevel.REGULAR
):
async def predicate(ctx):
return await check_permissions(ctx, ctx.command.quali... | null | core/checks.py | checks.py | py | 3,017 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "core.models.PermissionLevel",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "core.models.PermissionLevel.REGULAR",
"line_number": 11,
"usage_type": "attribute"
},
{
... |
340286749 | from cratis.settings import CratisApplication
from cratis_angular.remote import RpcView, remote
from cratis_profile.models import UserProfile
from cratis_webshop.attrs.models import FilterSet
from cratis_webshop.cart.models import ShoppingCart, ShoppingCartItem
from cratis_webshop.features import WebShop, WebshopCart
f... | null | cratis_webshop/views.py | views.py | py | 7,464 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.core.paginator.Paginator",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "django.core.paginator.PageNotAnInteger",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "django.core.paginator.EmptyPage",
"line_number": 23,
"usage_type":... |
422749302 | # coding:utf-8
import xmltodict
import time
import json
from lxml import etree
# 将指定tag的对象提取，写入json文件。
def process_element(elem):
elem_data = etree.tostring(elem)
elem_dict = xmltodict.parse(elem_data, attr_prefix="", cdata_key="")
# print(elem_dict)
if (elem.tag == "node"):
elem_jsonStr = j... | null | open_street_map/exchange_json.py | exchange_json.py | py | 2,097 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "lxml.etree.tostring",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "lxml.etree",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "xmltodict.parse",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line... |
218911372 | from PIL import Image
import os
def flip_image(image_path, saved_location):
"""
Flip or mirror the image
@param image_path: The path to the image to edit
@param saved_location: Path to save the cropped image
"""
image_obj = Image.open(image_path)
rotated_image = image_obj.transpose(Image.... | null | flip_images.py | flip_images.py | py | 1,362 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PIL.Image.open",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "PIL.Image.FLIP_LEFT_RIGHT",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "PIL.Image",
... |
128280338 | # -*- coding: UTF-8 -*-
from django.conf.urls import url
from areatest import views
urlpatterns =[
url(r'^area/$', views.area),
url(r'^pro/$', views.pro),
url(r'^city/(\d+)/$', views.city),
url(r'^dis/(\d+)/$', views.dis),
url(r'^editor/$', views.editor),
url(r'^editorhandle/$', views.editorha... | null | areatest/urls.py | urls.py | py | 414 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.url",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "areatest.views.area",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "areatest.views",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.conf... |
384516554 | #在类里面有一个__iter__方法和__next__这个方法创建的对象就是迭代器
#作用:根据数据的位置获取下一个位置的值
#用迭代器的好处是及其节省内存
from collections import Iterable
# my_list = [1,2,3]
class MyIterable(object):
def __init__(self):
self.mylist = [4,5,9]
self.current_index = 0
def __iter__(self):
#返回的是可迭代对象
return self
def __next__(self):
if self.current_inde... | null | Python exercises/第十天/day10/08-迭代器.py | 08-迭代器.py | py | 1,079 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.Iterable",
"line_number": 26,
"usage_type": "argument"
}
] |
206534264 | import torch
import torch.nn.functional as F
from sklearn.model_selection import train_test_split
from torch.utils.data import Subset
def train_val_dataset(dataset, val_split=0.5):
train_idx, val_idx = train_test_split(list(range(len(dataset))),
test_size=val_split)
datasets = {}
datasets['train'] = Subse... | null | utils.py | utils.py | py | 2,068 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Subset",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "torch.utils.data.Subset",
"line_number": 11,
"usage_type": "call"
},
... |
243376436 | from django.urls import path
from . import views
app_name = 'blog'
urlpatterns = [
path('', views.index),
path('home/', views.index),
path('login/', views.login),
path('register/', views.register),
path('new_post/', views.new_post),
path('<int:pk>/', views.single),
# path('<int:pk>/', views... | null | blog/urls.py | urls.py | py | 360 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
82219058 | from __future__ import unicode_literals
from django.db import models
from django.shortcuts import render
from wagtail.wagtailcore.models import Page
from wagtail.wagtailadmin.edit_handlers import FieldPanel
from saleor.product.models import Product
class HomePage(Page):
def serve(self, request, *args, **kwarg... | null | home/models.py | models.py | py | 864 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "wagtail.wagtailcore.models.Page",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.shortcuts.render",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "wagtail.wagtailcore.models.Page",
"line_number": 20,
"usage_type": "name"
},
... |
320047766 | # Program Name: HREF Calibrated Thunder
# Affiliation: NOAA/NWS/Storm Prediction Center
# Contacts: matthew.elliott@noaa.gov (703-887-2332 cell)
# Abstract: Driver script for HREF Calibrated Thunder part of SPC POST
# History Log:
#
# Usage:
# Parameters:
# run_date --> e.g., $PDY
# run --> e.g., cyc
# ... | null | ush/href_calib_thunder/forecast_href_cal_thunder.py | forecast_href_cal_thunder.py | py | 3,798 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.environ",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_... |
350862890 | import sys
import requests
import json
import datetime
def main(dict):
response = requests.get('https://api.us.apiconnect.ibmcloud.com/tmedemousibmcom-dev/sb/api/UsageConsumptionReports?filter={"where":{"bucket.product.id":"mobile999"}}')
res = response.json()
buckets = res[0]['bucket']
data = []
f... | null | IBMFunctions/getUsageReport.py | getUsageReport.py | py | 683 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "requests.get",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_number": 17,
"usage_type": "call"
}
] |
59212559 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Apr 24 01:58:09 2019
@author: yiwenzhang
"""
import tensorflow as tf
import numpy as np
from utils_1 import Indexing, getIndex, loadnew
import sys
from keras.models import Model
from keras.layers import Dense, Input, Embedding, Reshape, Concatenate, La... | null | NLP homework/Programming Homework/yz3310_HW4_codes/src/train_3.py | train_3.py | py | 2,548 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "utils_1.getIndex",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "utils_1.getIndex",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "utils_1.getIndex",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "utils_1.getIndex",... |
18743271 | # uncompyle6 version 3.7.4
# Python bytecode 3.6 (3379)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: /usr/local/lib/python3.6/dist-packages/pyproffit/power_spectrum.py
# Compiled at: 2019-11-19 08:35:18
# Size of source mod 2**32: 19715 bytes
import numpy as np
f... | null | pycfiles/pyproffit-0.4.1.linux-x86_64.tar/power_spectrum.cpython-36.py | power_spectrum.cpython-36.py | py | 16,525 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.pi",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "numpy.power",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "scipy.special.gamma",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line... |
88716961 | from gi.repository import Gtk
from os import path
import ui
import models
import json
class Application(object):
def __init__(self):
self.settings = Settings()
self.window = ui.MainWindow(self)
self.add_connection_list()
self.add_query_page()
self.window.set_position(Gtk.Win... | null | controls.py | controls.py | py | 2,174 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ui.MainWindow",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "gi.repository.Gtk.WindowPosition",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "gi.repository.Gtk",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": ... |
431201150 | import os
import traceback
import logging
import threading
import time
import json
import requests
from flask import Blueprint,request,Response,send_file,render_template,redirect,jsonify
from framework.logger import get_logger
from framework import app,db,scheduler,socketio,check_api,path_app_root,path_data
from framew... | null | lib/system/plugin.py | plugin.py | py | 13,655 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "framework.logger.get_logger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "flask.Blueprint",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "logic.SystemLogic.plugin_load",
"line_number": 31,
"usage_type": "call"
},
{
"api_nam... |
54392429 | #!/usr/bin/env python
"""The setup script."""
from setuptools import setup, find_packages
from igel import __version__, __email__, __author__
with open('docs/README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
requirements = [
... | null | setup.py | setup.py | py | 2,669 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "setuptools.setup",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "igel.__author__",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "igel.__email__",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "igel.__email__",
... |
106137633 | #工具文件，遍历所有数据找出所有段的持续时间和开始节点，找出最小的段和最小的帧长
import librosa
import librosa.core
import librosa.display
import matplotlib.pyplot as plt
import os
import numpy as np
import json
import math
from sklearn.preprocessing import StandardScaler
fps = 25
hop_length = 512
resample_rate = hop_length * fps
data_dir = './data/M2D_se... | null | hmmr/utils.py | utils.py | py | 4,802 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "librosa.core.load",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "librosa.core",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "librosa.beat.beat_track",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "librosa.b... |
220219088 | """Server for forever app."""
from flask import (Flask, render_template, request, flash, session,
redirect, jsonify)
import random
import crud
from jinja2 import StrictUndefined
import model
from datetime import datetime, date
app = Flask(__name__)
app.secret_key = "dev"
app.jinja_env.undefined = ... | null | server.py | server.py | py | 9,557 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "jinja2.StrictUndefined",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "flask.render_template",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "flask.render... |
564446851 | # -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import urllib
import django.dispatch
from dj.choices import Country
from django.core.urlresolvers import reverse
from django.test.utils import o... | null | src/ralph_assets/tests/functional/tests_transitions.py | tests_transitions.py | py | 5,211 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "ralph_assets.tests.utils.MessagesTestMixin",
"line_number": 37,
"usage_type": "name"
},
{
"api_name": "ralph.ui.tests.global_utils.login_as_su",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "ralph_assets.tests.utils.transitions.TransitionFactory",
"... |
435865534 | import cv2
import sys
import time
from os import walk
def _abrir_archivo(dir):
imagen = cv2.imread(dir)
if imagen == None:
print('No se puede abrir imagen')
sys.exit(1)
return imagen
def prueba():
imagen = cv2.imread("images/1.jpg")
cv2.imshow("ventana", imagen)
cv2.waitKey(0)... | null | PYT_DOC/reco_patron/algoritmo.py | algoritmo.py | py | 342 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "cv2.imread",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.exit",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "cv2.imshow",
"line_number": 16,
... |
617883472 | from django.conf.urls.defaults import patterns, url
from django.contrib.auth.decorators import login_required
from restful import administrator_restful
from views import (MainView, RestfulSimplifiedView,
RestfulSimplifiedViewWithGradeEditors,
AdminCompressedFileDownloadView)
urlp... | null | devilry/apps/administrator/urls.py | urls.py | py | 1,589 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.conf.urls.defaults.patterns",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.defaults.url",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "django.contrib.auth.decorators.login_required",
"line_number": 11,
"usage... |
614958187 | import argparse
import numpy as np
ap = argparse.ArgumentParser()
ap.add_argument("--instance", required=True,
help="Path to instance file")
ap.add_argument("--algorithm", required=True,type=str,
help="Algo to use")
ap.add_argument("--randomSeed", required=False,type=int,
help="seed... | null | cs747-pa1/submission/bandit.py | bandit.py | py | 6,012 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "numpy.rand... |
256416730 | import os
import PIL
import torch
import torch.utils.data as data
import torchvision.transforms as transforms
def default_loader(path):
return PIL.Image.open(path).convert('RGB')
class CarDataset(data.Dataset):
def __init__(self, lists, label_dict, transform=None, loader=default_loader):
... | null | data_generator.py | data_generator.py | py | 2,230 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "PIL.Image.open",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.utils.data.Dataset",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.utils... |
561370192 | from functools import partial
from django import forms
from django.conf import settings
from django.contrib import admin
from django.contrib.admin.widgets import FilteredSelectMultiple
from django.db.models import TextField
from django.contrib.gis.db.models import ManyToManyField
from django.contrib.admin.utils import... | null | democracy/admin/__init__.py | __init__.py | py | 11,020 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "parler.forms.TranslatableModelForm",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "django.utils.encoding.force_text",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 42,
"usage_ty... |
586798271 | import os
from typing import Any, Optional
import gspread
import pandas as pd
from oauth2client.service_account import ServiceAccountCredentials
import socket
from datetime import datetime
from time import sleep
import traceback
_current_experiment = None # type: Optional[ExperimentParams]
def _check_experiment():... | null | spreaduler.py | spreaduler.py | py | 8,825 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "typing.Any",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "os.environ.get",
"line_number": 88,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 88,
"usage_type": "attribute"
},
{
"api_name": "socket.gethostname",
"l... |
264772371 | """
MIT License
Copyright (c) 2021 TheHamkerCat
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
to use, copy, modify, merge, publish, ... | null | wbb/modules/spam.py | spam.py | py | 5,830 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pyrogram.types.Message",
"line_number": 59,
"usage_type": "name"
},
{
"api_name": "wbb.SUDOERS",
"line_number": 67,
"usage_type": "name"
},
{
"api_name": "wbb.modules.trust.get_spam_data",
"line_number": 69,
"usage_type": "call"
},
{
"api_name": "wb... |
228451515 | """ Return image sizes """
import argparse
from tqdm import tqdm
import numpy as np
import pandas as pd
import SimpleITK as sitk
def print_images_with_sizes(file_list):
file_size_df = pd.DataFrame(columns=['image', 'image_size', 'array_size'])
reader = sitk.ImageFileReader()
with tqdm(total=len(file_list... | null | get_sizes.py | get_sizes.py | py | 1,573 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.DataFrame",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "SimpleITK.ImageFileReader",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "tqdm.tqdm",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "SimpleITK.ReadIm... |
367250731 | from neo4j import GraphDatabase
import pandas as pd
import seaborn as sns
from sklearn.cluster import KMeans
from sklearn.metrics import calinski_harabasz_score, silhouette_score, davies_bouldin_score
import matplotlib.pyplot as plt
from sklearn.preprocessing import MinMaxScaler
driver = GraphDatabase.driver("bolt://l... | null | code/embed_ML_twitter.py | embed_ML_twitter.py | py | 2,778 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "neo4j.GraphDatabase.driver",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "neo4j.GraphDatabase",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "pandas.DataFrame",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "sklearn... |
579036530 | """
Copyright (c) 2017 Red Hat, Inc
All rights reserved.
This software may be modified and distributed under the terms
of the BSD license. See the LICENSE file for details.
"""
import os
import pytest
from flexmock import flexmock
import yaml
from atomic_reactor.inner import DockerBuildWorkflow
from atomic_reactor.... | null | tests/plugins/test_add_flatpak_labels.py | test_add_flatpak_labels.py | py | 3,221 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "osbs.utils.ImageName",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "atomic_reactor.inner.D... |
15083340 | #
from kivy.app import App
from kivy.uix.button import Button
class FirstKivy(App):
def build(self):
return Button(text="Welcome to LikeGeeks!",background_color=(0,2,21,1))
#FirstKivy().run
from kivy.uix.button import Button
from kivy.app import App
from functools import partial... | null | GUI/newfile.py | newfile.py | py | 3,122 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "kivy.app.App",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "kivy.uix.button.Button",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "kivy.app.App",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "kivy.uix.button.Butto... |
344828688 | from config import ServerParameters,logging,datafilepath
import asyncio
from dateutil import parser
import datetime
#from motor.motor_tornado import MotorClient,MotorGridFSBucket,MotorGridOut,MotorGridOutCursor
from motor.motor_asyncio import AsyncIOMotorClient
from asyncio.coroutines import coroutine
from pymongo.erro... | null | tiger_python_tools/test1.py | test1.py | py | 1,690 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "motor.motor_asyncio.AsyncIOMotorClient",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "config.ServerParameters.mongodbpath",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "config.ServerParameters",
"line_number": 14,
"usage_type"... |
295533603 | # -*- coding: utf-8 -*-
"""
Created on Tue Sep 12 20:08:23 2017
@author: danjr
"""
import fluids2d.piv as piv
import fluids2d.spectra as spectra
import matplotlib.pyplot as plt
import matplotlib.patches
import matplotlib.gridspec as gridspec
import pickle
import numpy as np
import pandas as pd
import scipy.ndimage
im... | null | scripts/OLD/umd_poster_piv.py | umd_poster_piv.py | py | 10,109 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "fluids2d.piv.load_processed_PIV_data",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "fluids2d.piv",
"line_number": 30,
"usage_type": "name"
},
{
"api_name": "comps.cf",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "comps.cf",... |
251623718 | from __future__ import absolute_import, unicode_literals
from celery import Celery, shared_task
from PIL import Image
app = Celery(broker='redis://localhost:6379/0', backend='redis://localhost:6379/1')
@app.task()
def resize_image(file_image, height_im, width_im):
original_image = Image.open(file_image)
new_... | null | images/tasks.py | tasks.py | py | 496 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "celery.Celery",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "PIL.Image.ANTIALIAS",
"line... |
535072855 | # -*- coding: utf-8 -*-
__author__ = 'ildar'
from app import app
from flask import render_template, redirect, session, url_for, request, g, jsonify
from flask.ext.login import login_user, logout_user, current_user, login_required
from app import db, models, lm
from models import Users, ROLE_ADMIN, ROLE_USER, Posts, Fo... | null | app/views.py | views.py | py | 37,195 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.g.user",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "flask.ext.login.current_user",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "app.app.before... |
451771392 | """Lock file utilities."""
import os
import sys
import fcntl
import logging
class AlreadyLockedError(IOError):
"""Lockfile already locked error."""
def __init__(self, *args, **kwargs):
"""Initialise."""
super(AlreadyLockedError, self).__init__(*args, **kwargs)
class PIDLockFile(object):
... | null | src/pdm/utils/lockfile.py | lockfile.py | py | 2,762 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "os.getpid",
"line_number": 57,
"usage_type": "call"
},
{
"api_name": "os.fsync",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "fcntl.flock",
"line_number":... |
214136547 | import numpy as np
from scipy.misc import imread
from scipy.misc import toimage
# returns approximate 1-D gaussian kernel of the size kernel_size
def buildkernel(kernel_size):
mid = kernel_size // 2 + 1 # gives floor integer value
# initializing the 1D gaussain kernel with dummy values
gauslist = range(ke... | null | HW1/Solution/Sadhwani_Yash_a1/Answer1.py | Answer1.py | py | 2,358 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.array",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.convolve",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number... |
529482587 | import pickle
import numpy as np
from flask import Flask, request, jsonify, render_template
app = Flask(__name__)
model = pickle.load(open('pickle_model.pkl', 'rb'))
@app.route('/')
def home():
return render_template('index.html')
@app.route('/predict', methods = ['POST'])
def predict():
double_features = [... | null | app.py | app.py | py | 688 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "pickle.load",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "flask.render_template",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "flask.request.form.values... |
199310096 | # -*- coding: utf-8 -*-
from django.core.management.base import BaseCommand, CommandError
from core.models import Company, CompanyShare
class Command(BaseCommand):
help = 'Gives a company shares in a company'
def add_arguments(self, parser):
parser.add_argument('owner')
parser.add_argument('c... | null | accountant/core/management/commands/createcompanyshare.py | createcompanyshare.py | py | 989 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.core.management.base.BaseCommand",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "core.models.Company.objects.get",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "core.models.Company.objects",
"line_number": 16,
"usage_type": "at... |
177533235 | from flask import Flask, make_response, render_template, redirect, request, send_from_directory
from gevent.pywsgi import WSGIServer
from .Database import Database
from .Builder import Builder
class Server(object):
srv = None
def __init__(self, database: Database, builder: Builder, login=False):
sel... | null | carpi_server/libs/Server.py | Server.py | py | 3,549 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "Database.Database",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "Builder.Builder",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "flask.Flask",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "flask.make_response",
... |
397635441 | from sio import sio
from app.models.user import User
from app.models.contact import Contact
from flask_socketio import join_room
from sqlalchemy import or_
from flask import session
def find_contacts_for(user):
return Contact.query.filter(
or_(Contact.initiator_id == user.id, Contact.acceptor_id == user.i... | null | src/app/event_handlers/self_introduction.py | self_introduction.py | py | 748 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "app.models.contact.Contact.query.filter",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "app.models.contact.Contact.query",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "app.models.contact.Contact",
"line_number": 10,
"usage_type... |
326559672 | import numpy as np
import pandas as pd
import sys
sys.path.append("..")
from helpers import *
from utils.globals import *
def get_distribution_quantiles(arr, quantiles, **kwargs):
return np.quantile(arr, q=quantiles, axis=1, **kwargs).T
def get_distribution_characteristics(arr, truncate_dist=False):
"""
... | null | utils/distribution_statistics.py | distribution_statistics.py | py | 5,515 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.path.append",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 4,
"usage_type": "attribute"
},
{
"api_name": "numpy.quantile",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.clip",
"line_num... |
648224432 | from flask_restful import Resource, reqparse
from ..schemas import PostSchema
from ..models import Post
from datetime import datetime
class UserPostResource(Resource):
def get(self, username):
posts = Post.scan(username__eq=username)
return PostSchema().dump(posts, many=True).data, 200
class Pos... | null | backend/src/resources/post_resource.py | post_resource.py | py | 1,280 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask_restful.Resource",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "models.Post.scan",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "models.Post",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "schemas.PostSchema... |
104028564 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
from flask import Flask, request, jsonify
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import create_engine
from sqlalchemy_utils import database_exists, create_database
from loguru import logger
from config import ConfigClass
from sqlalchemy.dialects.... | null | backend/src/app.py | app.py | py | 9,016 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "sqlalchemy_utils.database_exists",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "loguru.logger.info",
"line_number": 29,
"usage_type": "call"
},
{
"api_... |
229926564 | import base64
from django.db import models
try:
from django.utils.encoding import force_bytes
except:
pass
class Base64Field(models.TextField):
def contribute_to_class(self, cls, name):
if self.db_column is None:
self.db_column = name
self.field_name = name + '_base64'
... | null | mcfeely/fields.py | fields.py | py | 1,169 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.db.models.TextField",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "django.db.models",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "base64.b64decode",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "djang... |
218081523 | #!/usr/bin/env python
"""The Discovery service supports finding resources and events by metadata attributes, potentially applying semantic reasoning"""
__author__ = 'Luke Campbell <LCampbell@ASAScience.com>, Michael Meisinger'
from collections import deque
import heapq
from pyon.util.containers import DotDict, get_... | null | ion/services/dm/presentation/discovery_service.py | discovery_service.py | py | 13,392 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "interface.services.dm.idiscovery_service.BaseDiscoveryService",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "pyon.public.CFG.get_safe",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "pyon.public.CFG",
"line_number": 22,
"usage_type":... |
62512550 | import logging
import glob
import numpy as np
import tensorflow as tf
from PIL import Image
from sklearn.model_selection import StratifiedShuffleSplit, train_test_split
from sklearn.metrics import accuracy_score
import math
from models.cnn_2conv import create_cnn_2conv_model
from models.cnn_2conv_fc2 import create_cnn_... | null | dogs_vs_cats_training.py | dogs_vs_cats_training.py | py | 12,643 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "numpy.random.seed",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",... |
330525214 | """
Problem Description
Given a matrix of integers A of size N x M describing a maze. The maze consists of empty locations and walls.
1 represents a wall in a matrix and 0 represents an empty location in a wall.
There is a ball trapped in a maze. The ball can go through empty spaces by rolling up, down, left or right... | null | graph/day_5/shortest_distance_in_maze.py | shortest_distance_in_maze.py | py | 3,156 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "collections.deque",
"line_number": 27,
"usage_type": "call"
}
] |
160355110 | from selenium import webdriver
from taseCase1 import TestCase_
import os, time
class Test_zh(TestCase_):
def setUpClass(self):
self.imgs = []
self.driver = webdriver.Chrome()
def tearDownClass(self):
self.driver.quit()
def tear_flows(self):
# 加载启动项
option = webdr... | null | MZ/runmain/test02.py | test02.py | py | 654 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "taseCase1.TestCase_",
"line_number": 6,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "selen... |
217365166 | from PyQt5.QtWidgets import QApplication, QWidget
import xml.etree.ElementTree as ET
from PyQt5.QtWidgets import QPushButton, QLabel, QLineEdit, QRadioButton, QVBoxLayout, QHBoxLayout, QCheckBox, QComboBox
from PyQt5.QtCore import Qt, pyqtSignal, QPoint
from src.DataProcessor import DataProcessor, CONFIG_PATH, prepare_... | null | src/MainMenu.py | MainMenu.py | py | 8,068 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "src.utils.log_method_name",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "PyQt5.QtCore.Qt.FramelessWindowHint",
"line_number": 18,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtCore.Qt",
"line_number": 18,
"usage_type": "name"
},
{
... |
508204536 | from stackoverflow import StackOverflow
from superhero import SuperHero
from ya import YaUploader
import sys
import datetime
sys.stdin.reconfigure(encoding='utf-8')
sys.stdout.reconfigure(encoding='utf-8')
if __name__ == '__main__':
# Поиск самого умного супергероя
hulk = SuperHero('Hulk')
hulk.get_id_by_n... | null | main.py | main.py | py | 1,241 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "sys.stdin.reconfigure",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout.reconfigure",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "sys.stdout",... |
414852815 | from django.urls import path
from . import views
urlpatterns=[
path('',views.index,name='index.html'),
path("register", views.register, name="register"),
path("login", views.login, name="login"),
path("about", views.about, name="about"),
path("contact", views.contact, name="contact"),
path("da... | null | UniversityApp/UniversityApp/U2H/urls.py | urls.py | py | 1,031 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.urls.path",
... |
406875 | import logging.config
import numpy as np
from flask import Flask
from flask import render_template, request, redirect, url_for
from src.train import get_model, predict_ind
from src.createdb import VaccineSentiment, ResponseManager
# Initialize Flask app
app = Flask(__name__, template_folder="app/templates", static_fo... | null | app.py | app.py | py | 4,190 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "flask.Flask",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.config.config.fileConfig",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "logging.config.config",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name"... |
338407984 | from allauth.account import app_settings
from allauth.account.models import EmailAddress
from allauth.account.views import SignupView, PasswordResetView
from allauth.account.utils import complete_signup
from django.conf import settings
from django.core import mail
from django.contrib.auth import login
from django.contr... | null | core/views.py | views.py | py | 23,233 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "logging.getLogger",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "rest_framework.views.APIView",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "rest_framework.decorators.permission_classes",
"line_number": 41,
"usage_type": "name"
}... |
52041752 | class Solution:
def isValid(self, s):
"""
:type s: str
:rtype: bool
"""
symbol_stack = []
for c in s:
if c == '(' or c == '[' or c == '{':
symbol_stack.append(c)
else:
if c == ')' or c == ']' or c == '}':
... | null | 020-ValidParentheses/python30/valid_parentheses.py | valid_parentheses.py | py | 1,325 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "json.loads",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "io.TextIOWrapper",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "sys.stdin",
"line_number": 39,
"usage_type": "attribute"
}
] |
594043261 |
import pypsa
import pytest
import pandas as pd
import sys
import os
from numpy.testing import assert_array_almost_equal as equal
@pytest.fixture
def target_gen_p():
target_path = os.path.join(
os.path.dirname(__file__),
"..",
"examples",
"opf-storage-hvdc",
"opf-storage-dat... | null | test/test_opf_storage.py | test_opf_storage.py | py | 1,134 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "os.path.join",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number"... |
296306789 | import os
import gym
import numpy as np
import argparse
import time
import pickle
import math
from tensorboardX import SummaryWriter
from datetime import datetime
from collections import OrderedDict
import torch
import torch.nn as nn
import torch.optim as optim
import torch.utils.data
from torch.autograd import Varia... | null | CEM_AH_continuousAction_reacher.py | CEM_AH_continuousAction_reacher.py | py | 38,965 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "torch.nn.Softmax",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "time.time",
"li... |
217515484 | from app.extensions import db
from datetime import datetime
class BaseExtension(db.MapperExtension):
"""Base extension class for all sa model entities"""
def before_insert(self, mapper, connection, target):
now = datetime.utcnow()
target.created_at = now
target.updated_at = now
... | null | app/models/extensions.py | extensions.py | py | 498 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "app.extensions.db.MapperExtension",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "app.extensions.db",
"line_number": 5,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.utcnow",
"line_number": 9,
"usage_type": "call"
},
{
"ap... |
518294679 | import serial
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.animation import FuncAnimation
import time
# cria base de dados
sensors = {"sensor_1": "b", "sensor_2": "r", "sensor_3": "g"}
datas = []
size = 10
for i in range(len(sensors)):
row = []
for i in range(size):
... | null | serial_master.py | serial_master.py | py | 1,908 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "time.time",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.axis",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 31,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.... |
429699121 |
# coding: utf-8
# @author: Abhishek Thakur
# Beating the benchmark in Kaggle AFSIS Challenge.
# v02: take top 15 and bottom 15 and retrain
import pandas as pd
import numpy as np
from sklearn import svm, cross_validation
from sklearn.linear_model import Ridge
from sklearn.linear_model import Lasso
from sklearn.linear... | null | afsis.soil/scripts/afsis.svm.v08b.py | afsis.svm.v08b.py | py | 3,757 | python | en | code | null | code-starcoder2 | 66 | [
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "sklearn.svm.SVR",
"li... |
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