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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
290352937 | """Module for visualizing predictions as heat maps.
This module provides tools for creating and visualizing heat maps. The heat map of a given image is created by taking
samples from the image, predicting the labels of the samples and assembling the predictions in the heat map.
Example
-------
Train a neuronal netw... | null | hwdetect/visualization/heat_map.py | heat_map.py | py | 11,006 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 67,
"usage_type": "call"
},
{
"api_name": "sampler.RandomGrid",
"line_number": 72,
"usage_type": "call"
},
{
"api_name": "interpolation.NearestNeighbour",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "n... |
140063126 |
import os
import platform
import re
from datetime import datetime
import constants
def nextAccountNumber():
last = max((i for i in constants.acctMap.items() if i[1].isdigit()), key=lambda x: int(x[1]))
last = "{:0>6}".format(int(last[1])+1)
return last
def buildOfficeAllyURL(month, day, year, office=""):... | null | utils.py | utils.py | py | 3,089 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "constants.acctMap.items",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "constants.acctMap",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "re.compile",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "re.compile",
... |
627859833 | import direct.directbase.DirectStart
from direct.gui.OnscreenText import OnscreenText
from direct.gui.DirectGui import *
from panda3d.core import *
#add some text
bk_text = "This is my Demo"
textObject = OnscreenText(text = bk_text, pos = (0.95,-0.95),
scale = 0.07,fg=(1,0.5,0.5,1),align=TextNode.ACenter,mayChange=... | null | testingUserInput.py | testingUserInput.py | py | 644 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "direct.gui.OnscreenText.OnscreenText",
"line_number": 8,
"usage_type": "call"
}
] |
120718092 | """
Utility functions shared among the mod maker and prior generation code.
Compatibility notes:
* We have found that Pandas version 0.20 is incompatible with this module. Pandas >= 0.24 works.
"""
from __future__ import print_function, division
import datetime as dt
from collections import OrderedDict
from date... | null | ginput/common_utils/mod_utils.py | mod_utils.py | py | 94,269 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sys.stdout.write",
"line_number": 133,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 133,
"usage_type": "attribute"
},
{
"api_name": "sys.stdout.flush",
... |
428463715 | import numpy as np
import matplotlib.pyplot as mp
train_x = [0.5,0.6,0.8,1.1,1.4]
train_y = [5.0,5.5,6.0,6.8,7.0]
#实现梯度下降
times = 1000
lrate = 0.01
w0,w1 = [1],[1]#记录每次梯度下降的参数
for i in range(1,times+1):
#每次梯度下降过程需要求出w0与w1的修正值
#球修正值需要推导loss哈市南湖在w0与w1方向的偏岛
d0 = (w0[-1]+w1[-1]*train_x-train_y)*sum()
#绘制样本点
... | null | aid1901/day1/demo3_lr线性回归.py | demo3_lr线性回归.py | py | 637 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 17,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyplot.title",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "ma... |
435257901 | import os
import base64
import requests
import time
from io import BytesIO
from PIL import Image
class Captcha():
def __init__(self, driver, img_element):
self.driver = driver
self.img_element = img_element
def parse(self):
try:
img = self.driver.find_element_by_xpath("./... | null | captcha.py | captcha.py | py | 2,112 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "io.BytesIO",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "PIL.Image.open",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "base64.b64encode",
"line_numb... |
150124130 | #! -*- coding: utf-8 -*-
__author__ = 'Yan.zhe 2021.2.1'
# from script_collection.import_share import *
from start_the_service.app_instance import *
import typing
class JointFrameWizardFrameStore(AppStore):
"""
The frame test, app_type:
photo、music、video、alarm、weather、calender、setting、wizard
... | null | jointframe/script_collection/traverse_wizard.py | traverse_wizard.py | py | 1,171 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.Optional",
"line_number": 16,
"usage_type": "attribute"
}
] |
369694246 | import os
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
import re
import json
uri = "http://www.radiorecord.ru/player/"
prefix = "http://air.radiorecord.ru:805/"
suffix = "_320"
print("Please wait, making Web Scrapping from " + uri)
ch... | null | radiorecord_to_json.py | radiorecord_to_json.py | py | 1,671 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "o... |
303021081 | #!/usr/bin/env python
#
# Author: Thamme Gowda [tg (at) isi (dot) edu]
# Created: 2019-11-12
from typing import List, Any, Iterable, Dict, Tuple
import collections as coll
from nlcodec import log
from tqdm import tqdm
def make_n_grams(sent: List[Any], n):
assert n > 0
return [tuple(sent[i: i + n]) for i in ra... | null | nlcodec/utils.py | utils.py | py | 1,325 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.List",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Any",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "typing.Iterable",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number... |
219200213 | '''
功能：
宿舍代码正确检查
{输入}宿舍代码，网站driver
{输出}错误代码，宿舍信息字典，电费信息字典
根据错误代码判断宿舍代码错误类型：
err=200：正常，dormDic，elecDic有效
err=201：宿舍代码长度异常，dormDic={},elecDic={}
err=202：宿舍区不再服务范围，dormDic={},elecDic={}
err=404：电费查询异常，可能打不开网站，也可能是查无此房间，dormDic={},elecDic={}
================================================... | null | H2X/PacooBot/CodeChecker.py | CodeChecker.py | py | 4,748 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.chrome.options.Options",
"line_number": 146,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 148,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 148,
"usage_type": "name"
},
... |
558412576 | # A perfect power is a classification of positive integers:
#
# In mathematics, a perfect power is a positive integer that can be expressed as an integer power
# of another positive integer. More formally,
# n is a perfect power if there exist natural numbers m > 1, and k > 1 such that mk = n.
#
# Your task is to check... | null | CodersWars/Whats_a_Perfect_Power_anyway.py | Whats_a_Perfect_Power_anyway.py | py | 1,326 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pip._vendor.msgpack.fallback.xrange",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "math.log",
"line_number": 35,
"usage_type": "call"
}
] |
605219316 | from app.dataset import Dataset
from app.output import Output
from app.segmenter import Segmenter
from app.utils import Utils
from app.debug import Debug
import numpy as np
import cv2
dataset = Dataset()
dataset.load()
segmenter = Segmenter()
Output.clear()
for item in dataset.items:
print(item.file)
#i... | null | app/__main__.py | __main__.py | py | 1,385 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "app.dataset.Dataset",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "app.segmenter.Segmenter",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "app.output.Output.clear",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "ap... |
328345788 | """PyTorch implementation of a ResNet with 2D CNNs
Reference:
[1] Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
Identity Mappings in Deep Residual Networks. arXiv:1603.05027
"""
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
class ResBlock2D(nn.Module):
"""A basic residual ... | null | src/layers/ResNet2D.py | ResNet2D.py | py | 5,909 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Module",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "torch.nn.functional.relu",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "torch.nn.... |
325983612 | """An execution engine for Python processes."""
import copy
import inspect
import json
import os
import shlex
import shutil
from resolwe.flow.execution_engines.base import BaseExecutionEngine
from resolwe.flow.models.utils import (
get_collection_of_input_entities,
hydrate_input_references,
hydrate_input_u... | null | resolwe/flow/execution_engines/python/__init__.py | __init__.py | py | 5,492 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.join",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 20,
"usage_type": "attribute"
},
{
"api_name": "os.path.join",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 2... |
617140442 | # Q: will the model be able to predict single traits at a time better than all 5 traits at the same time?
# train models on each trait
# only for face and bg. NOT all
import chainer
import numpy as np
from deepimpression2.model_59 import Deepimpression
import deepimpression2.constants as C
from chainer.functions impor... | null | training_single_trait_f_bg.py | training_single_trait_f_bg.py | py | 6,954 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "deepimpression2.model_59.Deepimpression",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 28,
"usage_type": "attribute"
},
{
"api_name": "dee... |
187405588 | from datetime import timedelta
from django.contrib import admin
from django.utils import timezone
class LastTestFilter(admin.SimpleListFilter):
title = 'last test'
parameter_name = 'last'
def lookups(self, request, model_admin):
return (
('T', 'Today'),
('W', 'Last 7 days... | null | v6score/filter.py | filter.py | py | 3,784 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.contrib.admin.SimpleListFilter",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.contrib.admin",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django.utils.timezone.now",
"line_number": 22,
"usage_type": "call"
},
... |
198766481 |
import sys, warnings
import tweepy
from tw_auth import access_token_key, access_token_secret, consumer_key, consumer_secret
warnings.simplefilter ( 'ignore' )
auth = tweepy.OAuthHandler ( consumer_key, consumer_secret )
auth.set_access_token( access_token_key, access_token_secret )
api = tweepy.API ( auth )
tweet = ... | null | tweet_twitter.py | tweet_twitter.py | py | 503 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "warnings.simplefilter",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "tweepy.OAuthHandler",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "tw_auth.consumer_key",
"line_number": 7,
"usage_type": "argument"
},
{
"api_name": "tw_au... |
615110955 | import numpy as np
from sklearn.cluster import KMeans
import math
import time
nodesfile = open("dataset/cal.cnode","r")
edgesfile = open("dataset/cal.cedge","r")
nodes = []
edges = []
for node in nodesfile:
nodes.append(node.split())
for edge in edgesfile:
edges.append(edge.split())
newnodes = open("dataset/newc... | null | main_with_kmeans_clustering.py | main_with_kmeans_clustering.py | py | 4,034 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "math.sqrt",
"line_number": 58,
"usage_type": "call"
},
{
"api_name": "sklearn.cluster.KMeans",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_... |
107888745 | from django.urls import path
from ordermanager.views import OrderView, PartnerOrders, BasketView
app_name = 'ordermanager'
urlpatterns = [
path('partner/orders', PartnerOrders.as_view(), name='partner-orders'),
path('order', OrderView.as_view(), name='order'),
path('basket', BasketView.as_view(), name='... | null | ordermanager/urls.py | urls.py | py | 332 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ordermanager.views.PartnerOrders.as_view",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "ordermanager.views.PartnerOrders",
"line_number": 9,
"usage_type": "name"
},
... |
568578492 | import torch
import random
import os
import csv
import itertools
import typing
import numpy as np
def list_dir(root: str, prefix: bool = False) -> typing.List[str]:
"""List all directories at a given root
Args:
root (str): Path to directory whose folders need to be listed
prefix (bool, optional... | null | _utils.py | _utils.py | py | 6,821 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.expanduser",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "os.listdir",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path.isdir",
"line_... |
521377830 | import sys
import time
import traceback
from django import db
from common import constants, logging_util
from daemons.Daemon3 import Daemon
class ExampleDaemon3(Daemon):
def __init__(self, pidfile):
super().__init__(pidfile=pidfile)
self._daemon_name = "ExampleDaemon3"
self._logger = lo... | null | daemons/example/ExampleDaemon3.py | ExampleDaemon3.py | py | 1,666 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "daemons.Daemon3.Daemon",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "common.logging_util.get_logger",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "common.logging_util",
"line_number": 16,
"usage_type": "name"
},
{
"api_nam... |
448236936 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Thu Feb 13 12:10:30 2020
@author: parag.patil
"""
import pdftotext
import sys
import os
pwd=os.getcwd()
from pdf2image import convert_from_path
import ocrmypdf
import PIL
def extract_text(pdf_file,output_path):
try:
... | null | pdf_to_text_conversion_OCR_eng_PP_20200213.py | pdf_to_text_conversion_OCR_eng_PP_20200213.py | py | 2,450 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.getcwd",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pdf2image.convert_from_path",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "ocrmypdf.ocr",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pdftotext.PDF",
... |
597790394 | import os
import time
from gpiozero import Buzzer
buzzer = Buzzer(22)
def dot():
buzzer.on()
time.sleep(0.1)
buzzer.off()
time.sleep(0.2)
def dash():
buzzer.on()
time.sleep(0.3)
buzzer.off()
time.sleep(0.1)
def letterSpace():
time.sleep(0.2)
def wordSpace():
time.sleep(0.6)
def morseS():
dot()
dot()
... | null | buzzer/buzzer.py | buzzer.py | py | 632 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "gpiozero.Buzzer",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 1... |
338873798 | import itertools
a = [i for i in range(0,100)]
b = [i for i in range(0,100)]
# result contains all possible combinations.
combinations = list(itertools.product(a,b))
OPCODE_ADD = 1
OPCODE_MULTIPLY = 2
OPCODE_HALT = 99
def search_pair(positions, target):
combo = 0
while combo < len(combinations):
cur ... | null | day2/day2.py | day2.py | py | 1,466 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "itertools.product",
"line_number": 6,
"usage_type": "call"
}
] |
191856066 | #!/usr/bin/env python
#===============================================================================
# WriteFileInvMgr
#
# Description:
# Script to ...
#
# Print and FileWrite flags defaults can be changed in the main method
#
# Version:
# MM.mm DD/MM/YY
# 00.00 01/12/17 First version (combined script... | null | src/WriteFileInvMgr.py | WriteFileInvMgr.py | py | 4,187 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.dump",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.now",
"line_number": 81,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 81,
"usage_type": "name"
},
{
"api_name": "datetime.date.today... |
384401339 | import psycopg2 as pg
from StockDataWriter.infrastructure.StockDataQuery import PgStockQuery
class PostgresStockData:
cursor = None
conn = None
def connect_db(self, host, database, user):
"""
postgres db에 접속한고 cursor를 할당한다
"""
self.conn = pg.connect(host=host, database=da... | null | StockDataWriter/repository/PostgresStockData.py | PostgresStockData.py | py | 1,885 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "psycopg2.connect",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "StockDataWriter.infrastructure.StockDataQuery.PgStockQuery.save_item_code",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "StockDataWriter.infrastructure.StockDataQuery.PgStockQ... |
423721455 | from torch_geometric.data import DataLoader
from ocpmodels.common.registry import registry
from ocpmodels.datasets.base import BaseDataset
@registry.register_dataset("iso17")
class ISO17(BaseDataset):
def __init__(self, config, transform=None, pre_transform=None):
super(ISO17, self).__init__(config, tran... | null | ocpmodels/datasets/iso17.py | iso17.py | py | 1,472 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "ocpmodels.datasets.base.BaseDataset",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "torch_geometric.data.DataLoader",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "torch_geometric.data.DataLoader",
"line_number": 35,
"usage_type": "ca... |
637050141 | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
"""
The Support Vector Regression test for Features 2.
Using StandardScaler instead of MinMaxScaler.
Auto adjusting 3 parameters together.
Using features 2.
Logging y TWICE.
Version 2.3.2
Last Modified at
"""
### Import modules ###
import os
dir_sep_symbol = '\\' ... | null | SVR/backup/models/StandardScaler/SVR_v2.3.2.py | SVR_v2.3.2.py | py | 16,675 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.name",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "os.path.split",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_... |
100708399 | from collections import deque
"""
1. We add indices of array elements in the deque. We can add both the element and its index but its better to add just the index for better space complexity
2. We keep only those indices in the list which are part of the current window size
3. We keep only useful indices i... | null | karumanchi/Queues/sliding_window.py | sliding_window.py | py | 1,453 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.deque",
"line_number": 19,
"usage_type": "call"
}
] |
346556365 | import numpy as np
from sklearn import preprocessing, neighbors, svm
from sklearn.model_selection import train_test_split
import pandas as pd
df = pd.read_csv('breast-cancer-wisconsin.data')
df.replace('?',-99999,inplace=True)
# if we include id label, then we are almost at coin-flipping status
# because it is the mo... | null | Kernels/soft_margin_svm_training.py | soft_margin_svm_training.py | py | 2,109 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_... |
289573296 | # coding=utf-8
# Copyright 2014 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
from pants.backend.j... | null | src/python/pants/backend/jvm/targets/java_library.py | java_library.py | py | 1,523 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pants.backend.jvm.targets.exportable_jvm_library.ExportableJvmLibrary",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "pants.backend.jvm.targets.junit_tests.JUnitTests.java_test_globs",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "pants... |
442259758 | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 25 11:04:34 2019
@author: Shihan Li
plot the geographic distribution of average precipitation (1850-1980 AD)
"""
#import packages
import cmocean
import numpy as np
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
from cartopy.mpl.ticker import LongitudeFormatter... | null | scripts/f8_prect_ave_1850_1980.py | f8_prect_ave_1850_1980.py | py | 4,557 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "netCDF4.Dataset",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "numpy.mean",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.empty",
"line_number... |
604344337 | """ Web runtime based on Selenium.
Selenium is a Python library to automate browsers.
"""
import os
import logging
from .common import WebRuntime
class SeleniumRuntime(WebRuntime):
""" Web runtime based on Selenium.
"""
def _launch(self):
# Get url and browser type
url =... | null | flexx/webruntime/selenium.py | selenium.py | py | 2,160 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "common.WebRuntime",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "selenium.webdriver.Firefox",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 33,
"usage_type": "name"
},
{
"api_name": "selen... |
305991789 | #! /usr/bin/env python
# Copyright 2019 Peter Williams
# Licensed under the MIT License
"""Plot smoothed contours to see how well our algorithm works.
This uses `omegaplot`, a plotting package used by Peter Williams and pretty
much nobody else. Sorry.
"""
# note: Python 2.x compat not tested
from __future__ import ... | null | bootstrap/check-smoothing.py | check-smoothing.py | py | 1,222 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "omega.makeDisplayPager",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "postprocess.get_events",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.array... |
418204519 | import os
import numpy as np
import json
import glob
import torch
import viz
import utils
from imagenet1000_clsid_to_human import clsid_to_human
from explainers import forward
from create_explainer import get_explainer
from preprocess import get_preprocess, get_normalize_preprocess
import copy
from collections import ... | null | protected_attack_redo.py | protected_attack_redo.py | py | 9,157 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.use",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms.Compose",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "... |
184775157 | """Template tags used to sort a queryset.
"""
from django import template
from django.http import Http404
from django.conf import settings
register = template.Library()
DEFAULT_SORT_UP = getattr(settings, 'DEFAULT_SORT_UP' , '↑')
DEFAULT_SORT_DOWN = getattr(settings, 'DEFAULT_SORT_DOWN' , '↓')
INVALID_FIEL... | null | django_sorting/templatetags/sorting_tags.py | sorting_tags.py | py | 6,922 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.template.Library",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.template",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.conf.settings",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "django... |
467751928 | # -*- coding: utf-8 -*-
import logging
from src.core.util import get_soup
from src.exception import InvalidateBoardError
logger = logging.getLogger(__name__)
class DaumBoard:
def __init__(self, board, date):
self.date = self.target_date(date)
self.board = self.target_board(board)
def get_u... | null | src/core/board.py | board.py | py | 3,068 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "src.exception.InvalidateBoardError",
"line_number": 26,
"usage_type": "name"
},
{
"api_name": "src.core.util.get_soup",
"line_number": 33,
"usage_type": "call"
},
{
"api_na... |
58251007 | from functools import partial
import numpy as np
import torch
from padertorch.contrib.je.modules.augment import (
mel_warping, truncexponential_sampling_fn, log_truncnormal_sampling_fn,
log_uniform_sampling_fn, Scale, Mixup, Mask,
)
from padertorch.contrib.je.modules.features import MelTransform
from padertorc... | null | padertorch/contrib/je/models/tagging.py | tagging.py | py | 7,057 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "padertorch.contrib.je.modules.hybrid.CRNN",
"line_number": 18,
"usage_type": "name"
},
{
"api_name": "padertorch.contrib.je.modules.augment.Scale",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "padertorch.contrib.je.modules.augment.log_uniform_sampling_... |
499994573 | import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
import numpy as np
# import plot_matrix
import cv2
#
# def add_text(dists):
# time = 0
# for dist in dists:
# time = time + 15
# text = dist, 'km in', time,'mins'
# text(0, (.75 *dist), text, fontsize=12)
def plot... | null | plot_data.py | plot_data.py | py | 2,122 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 19,
"usage_type": "name"
},
{
"api_name": "matplotlib.pyp... |
243074859 | import streamlit as st
import streamlit.components.v1 as components
from PIL import Image
def principal():
lgit = """<a href='https://github.com/CartagenaMinas/VentiST' target="_blank">Github</a>"""
st.title('CÁLCULO DEL CAUDAL DE AIRE MINA')
st.write("")
st.write("")
col1, col2 = st.columns([2, 2]... | null | menu.py | menu.py | py | 2,161 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "streamlit.title",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "streamlit.write",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "streamlit.columns",
... |
287406169 | #!/usr/bin/env python
# -*- coding:utf-8 -*-
__author__ = 'MFC'
__time__ = '18/6/23 04:24'
import requests
import json
# 测试下Python的兼容性
access_token = "11_4LXEASFtFR4AUJCNWyEcQ2-7cl3qgFmMnc4RU3ZjSWyOjGSj7i0b1Eksj37QF48S4zR12WSeCJWomA7r49z12EhP15_1ZPo2-kUqttZmbwr-zWXHK5s6wdGlFRbshDqTa70z1nKfqAFPpDvFLREiAHAPVI"
url = ... | null | dev_draft/wechat_api_test/custom_reply_request.py | custom_reply_request.py | py | 1,272 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.dumps",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 37,
"usage_type": "call"
}
] |
383178204 | from urllib.request import urlopen
from shutil import copyfileobj, copyfile
from tempfile import NamedTemporaryFile
import os
def fetch_file(url, outfile):
try:
with urlopen(url) as fsrc, NamedTemporaryFile(delete=False) as fdst:
copyfileobj(fsrc, fdst)
print(fdst.name)
cop... | null | moduler/download_file.py | download_file.py | py | 456 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "urllib.request.urlopen",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "tempfile.NamedTemporaryFile",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "shutil.copyfileobj",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "s... |
637704243 | #
import matplotlib.pyplot as plt
from datetime import datetime, timedelta, time
def str2datetime(this_str):
year = int(this_str[:4])
month = int(this_str[4:6])
day = int(this_str[6:8])
hour = int(this_str[9:11])
minute = int(this_str[11:13])
second = int(this_str[13:15])
return datetime(year, month, day, hour... | null | stat_arbi/tmp.py | tmp.py | py | 572 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "matplotlib... |
191678748 | from pathlib import Path
import pytest
import numpy as np
import pandas as pd
import rpy2.robjects as ro
from rpy2.robjects.conversion import localconverter
from rpy2.robjects import pandas2ri
from multiplier import MultiplierProjection
def read_rds(test_case_number: int, kind: str):
"""Reads a test case data ... | null | tests/test_multiplier.py | test_multiplier.py | py | 2,179 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rpy2.robjects.r",
"line_number": 21,
"usage_type": "attribute"
},
{
"api_name": "rpy2.robjects",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "pathlib.Path",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "rpy2.robjects.convers... |
215727216 | #!/usr/bin/python
# -*- coding: utf-8 -*-
from django.shortcuts import render, render_to_response
from datetime import datetime
from base_api.full_views.helper import get_request_param_as_string
from base_api.models import *
from base_api.form import *
from django.http import *
from django.contrib.auth import authentic... | null | base_api/full_views/company_views.py | company_views.py | py | 4,721 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "base_api.full_views.helper.get_request_param_as_string",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 62,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 108,
"usage_type"... |
250564316 | from solver.SymbolPool import *
from solver.Tensor import *
from solver.LoopStacker import *
import pdb
import math
from amplpy import AMPL
import amplpy
import time
from solver.SolutionWarp import *
from joblib import Parallel, delayed
class ModfileBuilder:
def __init__(self, sympool, idx_list, level_list, bw_lis... | null | TileLoopGenerator/solver/ModGen.py | ModGen.py | py | 17,950 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "math.ceil",
"line_number": 152,
"usage_type": "call"
},
{
"api_name": "math.ceil",
"line_number": 153,
"usage_type": "call"
},
{
"api_name": "joblib.Parallel",
"line_number": 234,
"usage_type": "call"
},
{
"api_name": "joblib.delayed",
"line_num... |
221459793 | #!/usr/bin/env python3
import numpy as np
from scipy.io import loadmat
def load_data(filename, verbose=True):
# Loading the data from the E-Coli Matrix and then extracting data for their respective types.
print(f"Loading dataset: {filename}...")
data = loadmat(filename)
x_train_np = data['xTrain']
... | null | Mid 1/Problem3_Naive Bayes/problem_utils.py | problem_utils.py | py | 2,417 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scipy.io.loadmat",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "scipy.io.loadmat",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "numpy.unique",
"line... |
304022528 | import networkx as nx
import random
import numpy as np
import walkers.healthState
#import Walker
#import Virus
import structures.locations as l
import matplotlib.pyplot as plt
class City():
def __init__(self, nLocations):
self.pHome=0.24
self.otherP= (1 - self.pHome) / 4.0
... | null | City.py | City.py | py | 2,461 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.randint",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.random.choice",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 25,
"usage_type": "attribute"
},
{
"api_name": "structures.locat... |
253821342 | # -*- coding: utf-8 -*-
"""
The ``bot`` module
======================
Use it to init a Tock BOT.
:Example:
>>> import os
>>>> from tock.bot import TockBot
>>> TockBot().namespace("my-bot").start_websocket(apikey=os.environ['TOCK_APIKEY'])
"""
import asyncio
import logging
from datetime i... | null | tock/bot.py | bot.py | py | 4,450 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.Logger",
"line_number": 33,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "tock.bus.TockBotBus",
"line_number": 35,
"usage_type": "name"
},
{
"api_name": "tock.story.... |
258568137 | # -*- coding: utf-8 -*-
from hashlib import md5
from random import getrandbits
import requests
import six
from itsdangerous import TimedJSONWebSignatureSerializer as Serializer
from requests.exceptions import ConnectionError, ConnectTimeout
from config import Config
from ..errors import ASServerBusy
def generate_ro... | null | python/Flask/RestApiTemplate/api/common/helpers.py | helpers.py | py | 3,578 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "config.Config.EXPIRES_IN",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "config.Config",
"line_number": 27,
"usage_type": "name"
},
{
"api_name": "hashlib.md5",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "random.getran... |
602704683 | import cv2
import numpy as np
import os
import foundation
def package_rects_and_weights(rects, weights, scoreThreshold=0.6):
result = list()
for (rect, score) in zip(rects, weights):
if score[0] < scoreThreshold or score[0] > 1.0:
continue
result.append({
'score': score... | null | leapvision/scanner.py | scanner.py | py | 3,018 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "foundation.non_max_suppression",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.HOGDescriptor",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "cv2.HOGDescriptor_getDefaultPeopleDetector",
"line_number": 32,
"usage_type": "call"
}... |
381512108 | from collections import deque
import numpy as np
import pygame
import curses
from events import *
from controllers import *
from history import *
from views import *
from models import *
import palette
def get_images(square_size, grid_size):
SPACE_SIZE = np.array(square_size)
W, H = square_size
X = pyga... | null | ttt.py | ttt.py | py | 3,919 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pygame.Surface",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "pygame.draw.line",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "pygame.draw",
"line_n... |
272917270 | #!/usr/bin/env python
# @ Params ======================================================================================
load_range = range(30)
dt = 0.01
corr_len = 100.
avg_intvl = 10
img_slice = ':'
two_term = False
# sub_bind = False
sub_bind = True
# @ Main =========================================================... | null | skel/gst/nequip/md/gk/nve/300k/1fs/1-kooi/12x12x3/plot-avg-whole.py | plot-avg-whole.py | py | 3,104 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "ase.units.fs",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "ase.units",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "numpy.load",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.load",
"line_number"... |
481478590 | import dapp
import datetime
import io
import textwrap
import time
import traceback
from contextlib import redirect_stdout
class Meta(dapp.DiscordPlugin):
def __init__(self, bot):
super(Meta, self).__init__(bot)
self.last_result = None
def cleanup_code(self, content):
... | null | plugins/meta.py | meta.py | py | 3,834 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "dapp.DiscordPlugin",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "time.perf_counter",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "time.perf_counter",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "dapp.comm... |
12974135 | import json
import unittest2
from google.appengine.ext import testbed
from datafeeds.parsers.fms_api.fms_api_event_alliances_parser import FMSAPIEventAlliancesParser
class TestFMSAPIEventListParser(unittest2.TestCase):
def setUp(self):
self.testbed = testbed.Testbed()
self.testbed.activate()
... | null | tests/test_fms_api_event_alliances_parser.py | test_fms_api_event_alliances_parser.py | py | 1,607 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest2.TestCase",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "google.appengine.ext.testbed.Testbed",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "google.appengine.ext.testbed",
"line_number": 12,
"usage_type": "name"
},
... |
30784595 | """
code related to creating a session
"""
import typing as t
from contextlib import contextmanager
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from utils import get_database_url
engine = create_engine(get_database_url(), echo=False, pool_size=10)
Session = sessionmaker(bind=engine)
... | null | app/db/session.py | session.py | py | 609 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlalchemy.create_engine",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "utils.get_database_url",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.orm.sessionmaker",
"line_number": 13,
"usage_type": "call"
},
{
"api_n... |
406872957 | from django.shortcuts import render
from django.views.decorators.csrf import csrf_protect, csrf_exempt
# from django.template.context_processors import csrf
from hashlib import sha512
import hashlib
# Create your views here.
def index(request):
MERCHANT_KEY = "33y8dMBB"
SALT = "HIRqERoClU"
PAYU... | null | views.py | views.py | py | 3,960 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "hashlib.sha512",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "hashlib.sha512",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "django.shortcut... |
344787531 | import json
from django.utils import timezone
from django.core.exceptions import ObjectDoesNotExist
from django.conf import settings
from .models import ProductionTask, MCPriority
import atlas.deftcore.api.client as deft
_deft_client = deft.Client(settings.DEFT_AUTH_USER, settings.DEFT_AUTH_KEY)
# Mapping between ... | null | atlas/prodtask/task_actions.py | task_actions.py | py | 8,001 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "atlas.deftcore.api.client.Client",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "atlas.deftcore.api.client",
"line_number": 11,
"usage_type": "name"
},
{
"api_name": "django.conf.settings.DEFT_AUTH_USER",
"line_number": 11,
"usage_type": "attrib... |
134005912 | """The main part of the entigen tool."""
import argparse
import re
from typing import List, Dict, Optional
from .model import Model
from .readers.csv import CSVReader
from .writers.python import PythonWriter
from .writers.info import InfoWriter
from .extensible import Extensible
# Pattern for parsing argument-defi... | null | entigen/main.py | main.py | py | 2,529 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "typing.Optional",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 41,
"usage_type": "name"
},
{
"api_name": "typing.Dict",
... |
440663271 | from datetime import datetime, timezone
import requests, json, time
from requests.packages.urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
url = 'https://crst.izmiran.ru/crdt'
def obtain_data(station: str, dt_from: datetime, dt_to: datetime, channel:... | null | scripts/data_example.py | data_example.py | py | 1,602 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.packages.urllib3.disable_warnings",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "requests.packages.urllib3.exceptions.InsecureRequestWarning",
"line_number": 4,
"usage_type": "argument"
},
{
"api_name": "requests.packages",
"line_number": 4... |
211384546 | import csv
from sklearn.preprocessing import StandardScaler
from prepare_input import prepare_input
from prepare_score_rank_data import prepare_score_ranking
from train_ann import ann
from prepare_data import prepare_data
from pandas import DataFrame
if __name__ == '__main__':
X_columns = ['female ratio', 'tea... | null | main_ann.py | main_ann.py | py | 2,071 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "csv.reader",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_NONE",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "csv.reader",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "csv.QUOTE_NONE",
"line_... |
69941922 | '''
Cracking The Coding Interview
Chapter 8: Recursion/DP/Memoisation
Question 8.1: "Triple Step: A child is running up a staircase
with n steps and can hop either 1 step, 2 steps, or 3 steps
at a time. Implement a method to count how many possible ways
the child can run up the stairs."
'''
'''
Method1: Recursion
'''
d... | null | Interview/Google/tripleSet.py | tripleSet.py | py | 1,060 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.defaultdict",
"line_number": 26,
"usage_type": "call"
}
] |
282219627 | """
* Model : KNeighbors, Gaussian Naive Bayes,
* Neural Network model sangat sensitive pada data yg valuenya tidak di scale.
* Cross Validation score, menggunakan rata-rata
* Cross Validation, menggunakan Startified KFold, variasi dari KFold
"""
from Models.Classification.ClassifierModel import KNeighborsModel
from M... | null | App.py | App.py | py | 7,675 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.abspath",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_numb... |
146338310 | import pytest
from datetime import date, datetime
from analyzers.coverage_stop_areas import AnalyzeCoverageStopAreas
import os
pytestmark = pytest.mark.usefixtures("spark")
path = os.getcwd() + "/tests/fixtures/coverage_stop_areas"
date_2017_02_15 = datetime.utcfromtimestamp(1484473662).date()
date_2017_02_18 = dateti... | null | tests/coverage_stop_areas_test.py | coverage_stop_areas_test.py | py | 3,447 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pytest.mark.usefixtures",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "pytest.mark",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "os.getcwd",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.utc... |
534135207 |
import base64
import json
import os
import requests
PROJECT_ID = os.environ['PROJECT_ID']
PUBSUB_VERIFICATION_TOKEN = os.environ['PUBSUB_VERIFICATION_TOKEN']
def tfrecord_caller(data, _):
"""Background Cloud Function to be triggered by Cloud Storage.
This generic function logs relevant data when a file i... | null | cloud_functions/tfrecord_caller/main.py | main.py | py | 1,488 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "os.environ",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "requests.post",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "json.dumps",
"line_nu... |
124852407 | from __future__ import print_function
__author__ = 'awave'
import cv2, sys
from helpers import download
from matplotlib import pyplot
# load the image and convert it to grayscale
def open_image(img_name):
key = cv2.waitKey(0)
esc = 27
if key != esc:
image = cv2.imread(img_name)
# gray = c... | null | img_test.py | img_test.py | py | 1,570 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.waitKey",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "cv2.imread",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "cv2.waitKey",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "cv2.destroyAllWindows",
"line_... |
80054180 | from flask import Flask
from flask import request
from flask import jsonify
from flask import send_from_directory
from text import sentence_similarity as sentence_similarity_api
from speech.analysis import main as analysis_api
from speech.emotion import emotion_api
from speech.utils import misc
import jsonpickle
import... | null | web.py | web.py | py | 7,018 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "redis.ConnectionPool",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.environ",
"line_number": 29,
"usage_type": "attribute"
},
{
"api_name": "tensorflow_hub.Modul... |
359372365 |
###################################################
### ###
### Complete Experiment on Tasic data ###
### written by Bettina Mieth, Nico Görnitz, ###
### Marina Vidovic and Alex Gutteridge ###
### ###
######################... | null | scripts/experiments/main_wrapper_tasic.py | main_wrapper_tasic.py | py | 10,383 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "logging.basicConfig",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.n... |
9629563 | # coding: utf-8
#blog/views
from django.shortcuts import render
from blog.models import Post
#from django.views.generic import ListView, DetailView
def p_detail_view(request):
# v=Nor.objects.all() for the html2
# name = 'Form page'
# title = "Test Form"
# return render_to_response('test.html', {'name... | null | blog/views.py | views.py | py | 948 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "blog.models.Post.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "blog.models.Post.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "blog.models.Post",
"line_number": 14,
"usage_type": "name"
},
{
"api_n... |
226358604 | """
实现 mysqldump 、mysqlbackup 、extrabackup 的备份
1、完成对 mysqldump ，mysqlbackup、extrabackup 这三个主流工具的封装
2、以给定实例作为输入，找出所有可用的备份工具
3、备份计划
"""
# (c) 2019, LeXing Jiang <neeky@live.com 1721900707@qq.com https://www.sqlpy.com/>
# Copyright: (c) 2019, dbm Project
# GNU General Public License v3.0+ (see COPYING or https://www.gnu... | null | dbma/backup.py | backup.py | py | 28,568 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "subprocess.DEVNULL",
"line_number": 44,
"usage_type": "attribute"
},
{
"api_name": "subproces... |
214504290 | from django.shortcuts import render, redirect
from .models import Review
from .forms import ReviewForm
from django.contrib.auth.decorators import login_required
@login_required
def list_reviews(request):
reviews = Review.objects.all()
return render(request, 'reviews/list.html', {'reviews': reviews})
@login_... | null | src/reviews/views.py | views.py | py | 1,217 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "models.Review.objects.all",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "models.Review.objects",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "models.Review",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "djang... |
287842692 | import os
from setuptools import find_packages, setup
from auth_updater import __VERSION__
install_requires = [
#locked
'django>=3.1.1',
'django-celery-beat',
'django-registration',
'celery>=5.0.0rc3',
'gunicorn',
'mysqlclient',
'dnspython',
'passlib',
'requests',
'bcrypt... | null | setup.py | setup.py | py | 1,443 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.abspath",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 37,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line... |
500254481 | """Functions to manage os files and Path objects.
Intended to be used within a Python 3 environment.
Developed by Rodrigo Rivero.
https://github.com/rodrigo1392
"""
# Flexibility for python 2.x
try:
import configparser
except ImportError:
import ConfigParser as configparser
try:
from pathlib import Path
... | null | pymiscell/filesystem_tools.py | filesystem_tools.py | py | 10,920 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "ConfigParser.ConfigParser",
"line_number": 63,
"usage_type": "call"
},
{
"api_name": "ast.literal_eval",
"line_number": 77,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
27765681 | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 23 14:50:17 2018
@author: Bea
"""
from sklearn.cluster import KMeans
import pandas as pd
import numpy as np; np.random.seed(0)
import seaborn.apionly as sns
import matplotlib.pyplot as plt
def ReadingAndColumnSelector (DataIn, sepFile):
Data = pd.re... | null | clsuter_MAP.py | clsuter_MAP.py | py | 3,103 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random.seed",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame"... |
147134071 | # MIT License
#
# Copyright (c) 2019 Johan Brichau
#
# 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, mer... | null | src/uPythonDevice/third_party/string.py | string.py | py | 1,873 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "io.StringIO",
"line_number": 37,
"usage_type": "call"
}
] |
54681929 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('ProjectShow', '0012_auto_20160806_0857'),
]
operations = [
migrations.AlterModelOptions(
name='project',
... | null | ProjectShow/migrations/0013_auto_20160806_0902.py | 0013_auto_20160806_0902.py | py | 670 | python | en | code | null | code-starcoder2 | 83 | [
{
"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.AlterModelOptions",
"line_number": 14,
"usage_type": "call"
... |
588894253 | import sys
import pickle
import logging
import datetime
from os import path
import pandas as pd
import numpy as np
import xgboost as xgb
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.svm import SVC
from sklearn.impute import SimpleImputer
from sklearn.metrics import accuracy_score
from sklearn.m... | null | XGBModelV2/XGB_11Feb2020.py | XGB_11Feb2020.py | py | 11,690 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.basicConfig",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "sys.stdout",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "logging.INFO",
"line_number": 23,
"usage_type": "attribute"
},
{
"api_name": "pandas.merge",
... |
50254878 | # https://github.com/tqdm/tqdm#redirecting-writing
import sys
import logging
from time import sleep
import contextlib
from tqdm.auto import tqdm
class LoggingStreamHandler(logging.StreamHandler):
"""
tqdm-aware susbstitute for logging's standard stream handler.
The default handler writes to stderr, which ... | null | mackelab_toolbox/tqdm.py | tqdm.py | py | 1,429 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.StreamHandler",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "logging.StreamHandler.__init__",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "logging.StreamHandler",
"line_number": 18,
"usage_type": "attribute"
},
{
... |
54227142 | import random
import copy
import os
import sys
import csv
import time
import keras
import pickle
import tensorflow as tf
from collections import deque
from keras.utils import CustomObjectScope
import numpy as np
import skimage
import gym
class NoisyLayer(keras.layers.Layer):
def __init__(self, in_shape=(1,2592... | null | Noisy-DQV.py | Noisy-DQV.py | py | 19,736 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "keras.layers",
"line_number": 19,
"usage_type": "attribute"
},
{
"api_name": "numpy.sqrt",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "numpy.sqrt",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "tensorflow.initializers.rando... |
383581569 | #####################################
# CMSSW configuration file - Python #
#####################################
import FWCore.ParameterSet.Config as cms
import datetime
process = cms.Process("USER")
###########################
# Basic process controls. #
###########################
today = str(datetime.date.today(... | null | RSGraviton/RSAnalyzer/analysis_compoundJetAlgo/rs_compoundJet_cfg.py | rs_compoundJet_cfg.py | py | 6,415 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "FWCore.ParameterSet.Config.Process",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "FWCore.ParameterSet.Config",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "datetime.date.today",
"line_number": 13,
"usage_type": "call"
},
{
"a... |
270497283 | import itertools
import os
import re
import sys
import time
import requests
ACCENT_CHARS = dict(zip('ÂÃÄÀÁÅÆÇÈÉÊËÌÍÎÏÐÑÒÓÔÕÖŐØŒÙÚÛÜŰÝÞßàáâãäåæçèéêëìíîïðñòóôõöőøœùúûüűýþÿ',
itertools.chain('AAAAAA', ['AE'], 'CEEEEIIIIDNOOOOOOO', ['OE'], 'UUUUUY', ['TH', 'ss'],
... | null | utils.py | utils.py | py | 3,876 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "itertools.chain",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "requests.Session",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "os.getcwd",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number"... |
554800548 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Sun Jan 21 04:23:44 2018
@author: Traoreabraham
"""
import numpy as np
from multiprocessing import Pool
import scipy
import sys
sys.path.append("..")
#sys.path.append("/home/scr/etu/sil821/traorabr/Tensorly/")
import tensorly as tl
tl.set_backend('numpy'... | null | Toyparametersmeasurement/ParametersmeasurementALTO.py | ParametersmeasurementALTO.py | py | 18,924 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "tensorly.set_backend",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed"... |
343703098 |
from damselfly.models import cnn1d_complex
from damselfly.data import loaders, augmentation
from damselfly.utils import train
from pathlib import Path
import torch.nn as nn
import torch
import numpy as np
#import argparse
#parser = argparse.ArgumentParser()
#parser.add_argument('--epoch', dest='epoch', action='store... | null | roar/job/deep_filter/220818_train_cnn1d_complex_model_interactive_v1.py | 220818_train_cnn1d_complex_model_interactive_v1.py | py | 4,172 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib.Path.home",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "pathlib.Path.home",
"line_number": 43,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"... |
80886343 |
import requests
import time
import re
#删除HTML文档中的标签.
#实际功能:将HTMLtext中所有的word删除
def remove(htmltext, word):
text = htmltext[:]
while text.find(word) != -1:
a = text.find(word)
text = text[:a]+text[a+len(word):]
return text
#爬取数据
def catchData(word):
#声明请求头,伪装成浏览器
headers = {
... | null | 第一节/程序/语文作业预习查词器.py | 语文作业预习查词器.py | py | 2,026 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.get",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "re.search",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "re.DOTALL",
"line_number": 31,
"usage_type": "attribute"
},
{
"api_name": "re.search",
"line_number": ... |
53980940 | '''
A script will calculate days that fill dividend in this year,
if not fill dividend in this year will return -1
'''
import os
import json
import argparse
import numpy as np
import pandas as pd
import datetime
from src.Loader import get_data
with open("./config.json") as f:
config = json.load(f)
def _filter_da... | null | Code/FinMining/fill_div_days.py | fill_div_days.py | py | 2,623 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.load",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "pandas.DataFrame",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "src.Loader.get_data",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "src.Loader.get_data",
... |
124146990 | import glob
import os
import pathlib2
import argparse
import subprocess as sp
__dir__ = pathlib2.Path(__file__).parent
def main(path: pathlib2.Path):
target_dir = path.parent
toc_py = path / 'toc.py'
gen_md_py = path / 'generate_readme.py'
if toc_py.exists():
print("custom toc.py exists")
... | null | main.py | main.py | py | 1,651 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pathlib2.Path",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "pathlib2.Path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "subprocess.run",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "subprocess.run",
"... |
614127568 | import time
from webbot import Browser
from selenium.common.exceptions import NoSuchElementException
#%%
#open a specific group hangout
def open_group_hangout(web, groupName, waitTime1):
#get out of any iframes
web.driver.switch_to.default_content()
#get into conversations iframe
iframe_pls=web.dr... | null | Old Files/VirtualVisitas-FirstMultiThreadingUsed/hangout_tools.py | hangout_tools.py | py | 5,629 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "time.sleep",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 41,
... |
619140919 |
from south.db import db
from django.db import models
from noc.core.model.fields import PickledField
class Migration:
def forwards(self):
# Model 'Language'
db.create_table('main_changesquarantine', (
('id', models.AutoField(verbose_name='ID', primary_key=True, auto_created=True)),
... | null | main/migrations/0024_changes_quarantine.py | 0024_changes_quarantine.py | py | 1,468 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "south.db.db.create_table",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "south.db.db",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "django.db.models.AutoField",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "djang... |
133965056 | import xml.etree.ElementTree as ET
from broadsoft.requestobjects.datatypes.AccessDevice import AccessDevice
class AccessDeviceEndpoint:
def __init__(self, device_name='Generic', line_port=None, contact=None, device_level='Group'):
self.contact = contact
self.device_level = device_level
sel... | null | broadsoft/requestobjects/datatypes/AccessDeviceEndpoint.py | AccessDeviceEndpoint.py | py | 851 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "xml.etree.ElementTree.Element",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "xml.etree.ElementTree",
"line_number": 13,
"usage_type": "name"
},
{
"api_name": "broadsoft.requestobjects.datatypes.AccessDevice.AccessDevice",
"line_number": 16,
"us... |
472190743 | import torch
import torch.nn as nn
import torch.optim as O
import torch.nn.functional as F
import torchvision
from torchvision import datasets, models, transforms
import torchvision.transforms as transforms
import time
import copy
import numpy as np
import pandas as pd
import os
from shutil import copyfile
import OC... | null | Training_OCR.py | Training_OCR.py | py | 10,432 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torchvision.transforms.Compose",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "torchvision.transforms",
"line_number": 24,
"usage_type": "name"
},
{
"api_name": "torchvision.transforms.Resize",
"line_number": 24,
"usage_type": "call"
},
{
... |
399510628 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2017/11/16
# @Author : RookieDay
# @Site :
# @File : neo4j_test
# @Github : https://github.com/rookieday
# @Software: PyCharm Community Edition
# refer http://py2neo.org/2.0/
# by http://python.jobbole.com/84190/
from py2neo import Graph,Node,Relatio... | null | spider_ways/neo4j_test.py | neo4j_test.py | py | 1,073 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "py2neo.Graph",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "py2neo.Node",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "py2neo.Node",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "py2neo.Relationship",
"line_... |
9436414 | from collections import defaultdict
from operator import itemgetter, attrgetter, methodcaller
from sec30 import *
freq = defaultdict(int)
for li in lists:
for morph in li:
freq[morph["surface"]] += 1
ans = sorted(freq.items(), key=lambda t:(t[1],t[0]),reverse=True)
for li in ans:
print(li[0]+"\t"+st... | null | sec36.py | sec36.py | py | 332 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "collections.defaultdict",
"line_number": 5,
"usage_type": "call"
}
] |
478836492 | # -*- coding: utf-8 -*-
from django.core.urlresolvers import NoReverseMatch, reverse
from django.utils.translation import ugettext_lazy as _
from menus.base import NavigationNode
from menus.menu_pool import menu_pool
from cms.menu_bases import CMSAttachMenu
class IconNavigationNode(NavigationNode):
def __init... | null | kumo/memberarea/menu.py | menu.py | py | 2,001 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "menus.base.NavigationNode",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "cms.menu_bases.CMSAttachMenu",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "django.utils.translation.ugettext_lazy",
"line_number": 25,
"usage_type": "call"
... |
408438073 | from slackbot.bot import respond_to
import requests
from firebaseint import news_api_key
API_KEY = news_api_key()
@respond_to('news from (.*)')
def news_in(message, source):
res = requests.get('https://newsapi.org/v1/articles?source={}&apiKey={}'.format(source, API_KEY)).json()
for word in message.body.get('text')... | null | slackbot/plugins/news.py | news.py | py | 933 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "firebaseint.news_api_key",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "requests.get",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "slackbot.bot.respond_to",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "requests.... |
24329900 | import os
import yaml
import time
import Logger
import Managers
from Monitor import Monitor
config = None
config_filename = 'configuration.yaml'
scriptFolder = str(os.path.dirname(os.path.realpath(__file__)))
def LoadYAML():
global config
with open(os.path.join(scriptFolder, config_filename)) as f:
... | null | main.py | main.py | py | 1,770 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.dirname",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "os.path.realpath",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"lin... |
337901435 | # -*- coding: utf-8 -*-
import collections
import warnings
import torch
import torch.nn as nn
from common.registry import registry
class Losses(nn.Module):
def __init__(self, loss_list):
super().__init__()
self.losses = []
self._evaluation_predict = registry.get("config").... | null | modules/losses.py | losses.py | py | 3,649 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Module",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "common.registry.registry.get",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "common.regis... |
648702197 | # -*- coding: utf8 -*-
from flask import request, session, redirect, url_for, render_template, jsonify, current_app, g
import time, random
from werkzeug.utils import secure_filename
from werkzeug.security import generate_password_hash, check_password_hash
from sqlalchemy.orm import sessionmaker
from sqlalchemy import d... | null | share/application.py | application.py | py | 19,186 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.g.user_name",
"line_number": 39,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
"line_number": 39,
"usage_type": "name"
},
{
"api_name": "flask.g.user_email",
"line_number": 40,
"usage_type": "attribute"
},
{
"api_name": "flask.g",
... |
177159009 | import transakcije_io
import datetime
def napraviTransakciju(sifra, kolicina, smer_transakcije, trenutni_korisnik):
transakcije_io.upisiTransakciju(sifra, kolicina, smer_transakcije, trenutni_korisnik)
# uzima pocetni i krajnji datum (string formata 'dd.mm.gggg.'),
# i opciono kljuc ('magacioner' ili 'sifra')
# ... | null | transakcije.py | transakcije.py | py | 1,276 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "transakcije_io.upisiTransakciju",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "transakcije_io.ucitajTransakcije",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 29,
"usage_type": "call"
},... |
644259544 | import os
import hashlib, uuid
SALT = uuid.uuid4().hex
basedir = os.path.abspath(os.path.dirname(__file__))
SQLALCHEMY_DATABASE_URI = 'sqlite:///' + os.path.join(basedir, 'app.db')
SQLALCHEMY_MIGRATE_REPO = os.path.join(basedir, 'db_repository')
WTF_CSRF_ENABLED = True
SECRET_KEY = 'Alumiboti'
POSTS_PER_PAGE = 5 | null | config.py | config.py | py | 316 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "uuid.uuid4",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "os.path.abspath",
"line_number": 5,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 5,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_numb... |
126045875 | import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import numpy as np
import netCDF4 as nc
from pylab import *
import subprocess
from subprocess import call
d=nc.Dataset('DATA/Geostropic_Adjustment.nc')
lons=d.variables['longs_v'][:] # only need this as rho is defined at v points
levs=d.variables['ha... | null | ABC_MODEL/MATLAB_FILES_AND_DATA/plt_geost_adj.py | plt_geost_adj.py | py | 3,121 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "netCDF4.Dataset",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "numpy.where",
"line_numbe... |
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