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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
460900007 | import chess
import chess.pgn
import os
import numpy as np
from connect4 import Connect4
cwd = os.getcwd()
def buildInput(board):
oldBoard = board.copy(stack=1)
try:
oldBoard.pop()
except IndexError:
oldBoard.clear()
if board.turn:
currentBoard = board
flipped = False
else:
flipped = True
currentBo... | null | Connect4/inputBuilder.py | inputBuilder.py | py | 5,449 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.getcwd",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 28,... |
342759041 | import csv
from django.http import HttpResponse
from .base_export_model import BaseExportModel
class ExportAsCsv(BaseExportModel):
@property
def file_obj(self):
"""Returns a file object for the writer."""
if not self._file_obj:
self._file_obj = HttpResponse(mimetype='text/csv')
... | null | edc/export/classes/export_as_csv.py | export_as_csv.py | py | 898 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "base_export_model.BaseExportModel",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "django.http.HttpResponse",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "csv.writer",
"line_number": 20,
"usage_type": "call"
}
] |
270628241 | import pygame
import random
from sprites import *
from settings import *
import os
vec = pygame.math.Vector2
import time
class Game():
def __init__(self):
pygame.init()
pygame.mixer.init()
self.clock = pygame.time.Clock()
self.screen = pygame.display.set_mode((WIDTH,HEIGHT))
... | null | src/main.py | main.py | py | 7,797 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.math",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "pygame.init",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "pygame.mixer.init",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "pygame.mixer",
"lin... |
342378229 | import pygame
def blur(img, radius):
new = img.copy()
size = new.get_size()
for x in range(size[0]):
for y in range(size[1]):
total = [0,0,0]
cnt = 0
for kx in range(-radius,radius+1):
for ky in range(-radius,radius+1):
try:
ncol = img.get_at((x + kx, y + ky))
total[0] += ncol[0]
... | null | Python Photo Editing/blur.py | blur.py | py | 718 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pygame.image.load",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "pygame.image",
"line_number": 27,
"usage_type": "attribute"
},
{
"api_name": "pygame.display.set_mode",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "pygame.di... |
196624083 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render
import redis
r = redis.StrictRedis(host='localhost', port=6379, db=0)
class Movie(object):
def __init__(self, title=None, actors=None):
self.title = title
self.actors = actors
# Create your views... | null | wt4examen/movies/views.py | views.py | py | 1,136 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "redis.StrictRedis",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "django.shortcuts.render",
"line_number": 29,
"usage_type": "call"
},
{
"api_name": "djan... |
287235485 | import csv
import io
from django.core import serializers
from django.core.files.storage import FileSystemStorage
from django.shortcuts import render
from django.http import HttpResponse, HttpResponseRedirect
from django.contrib import messages
from django.views.decorators.csrf import csrf_exempt
from .Filters import Sa... | null | classroom_reservation_system/classroom_reservation_app/Admin_views.py | Admin_views.py | py | 10,919 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "models.Batiment.objects.all",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "models.Batiment.objects",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "models.Batiment",
"line_number": 14,
"usage_type": "name"
},
{
"api_name... |
419526551 | import logging
import os
import pickle
import socket
from functools import partial
from multiprocessing import Process
from pathlib import Path
from time import sleep
from pika.exceptions import AMQPConnectionError
from tp2_utils.blocking_socket_transferer import BlockingSocketTransferer
from tp2_utils.in... | null | business_joiner_service/__main__.py | __main__.py | py | 6,052 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.getLogger",
"line_number": 31,
"usage_type": "call"
},
{
"api_name": "tp2_utils.message_pipeline.message_pipeline.message_is_end",
"line_number": 35,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 36,
"usage_type": "call"
},
... |
202174056 | from django.conf.urls import patterns, url
from beercellar import views
urlpatterns = patterns('',
#Some important learning notes here...
#<var> is passed to view, must have same name as class/method
#Must include regex to grab pattern ([a-z]+)
url(r'^$', views.index, name='index'),
url(r'^login', ... | null | waters/beercellar/urls.py | urls.py | py | 407 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.urls.patterns",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "django.conf.urls.url",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "beercellar.views.index",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name"... |
277049099 | from flask import Flask, render_template
from flask_table import Table, Col
from match import matchesMain
app = Flask(__name__)
class Match(object):
def __init__(self, graduateName, teamName):
self.graduateName = graduateName
self.teamName = teamName
# Or, equivalently, some dicts
items = [dic... | null | TeamMatcher/flaskTest.py | flaskTest.py | py | 1,267 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 4,
"usage_type": "call"
},
{
"api_name": "flask_table.Table",
"line_number": 15,
"usage_type": "name"
},
{
"api_name": "flask_table.Col",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "flask_table.Col",
"l... |
322356063 | import os
import sys
sys.path.insert(0, "../lib/")
import numpy as np
import pandas as pd
import scanpy as sc
import matplotlib as mpl
import matplotlib.pyplot as plt
import bbknn
import sankey
import sc_utils
SAMPLES = pd.read_csv("samples.csv")
def rename_genes(names):
names = names.str.replace("^GRCh38_+",... | null | single_cell_analysis/02preprint/integrate.py | integrate.py | py | 4,201 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.insert",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 3,
"usage_type": "attribute"
},
{
"api_name": "pandas.read_csv",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "os.path.basename",
"l... |
113606875 | '''
paper.data.scripts.delete_files
copies files to cold storage and then deletes from main host
author | Immanuel Washington
Functions
---------
delete_check | checks for which files should and can be deleted
set_delete_table | updates database with deleted file status
delete_files | parses list of files then copie... | null | paper/data/scripts/delete_files.py | delete_files.py | py | 3,696 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "paper.data.dbi.File",
"line_number": 38,
"usage_type": "attribute"
},
{
"api_name": "paper.data.dbi",
"line_number": 38,
"usage_type": "name"
},
{
"api_name": "os.path.join",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "os.path",
"l... |
634863736 | from inspect import getmembers, signature, _empty, Parameter
from typing import Type, Any, Tuple, List, Set, Dict, Mapping, Iterable
from parsyfiles.var_checker import check_var
def robust_isinstance(inst, typ):
"""
Similar to isinstance, but if 'typ' is a parametrized generic Type, it is first transformed i... | null | parsyfiles/type_inspection_tools.py | type_inspection_tools.py | py | 12,914 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "typing.Dict",
"line_number": 121,
"usage_type": "name"
},
{
"api_name": "typing.List",
"line_number": 122,
"usage_type": "name"
},
{
"api_name": "typing.Set",
"line_number": 123,
"usage_type": "name"
},
{
"api_name": "typing.Tuple",
"line_number... |
2267559 | import cv2
filename = 'traffic1.avi'
cap = cv2.VideoCapture(filename)
reference_frame =None #first frame
image_area = None
while True:
ret,frame = cap.read()
#print ret = frame = True, last frame =false
if ret is False:
break
else: #getting grayscale/threshold frame
if reference_frame is None:
reference_fr... | null | vehicleDetection.py | vehicleDetection.py | py | 1,197 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "cv2.VideoCapture",
"line_number": 3,
"usage_type": "call"
},
{
"api_name": "cv2.cvtColor",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "cv2.COLOR_BGR2GRAY",
"line_number": 16,
"usage_type": "attribute"
},
{
"api_name": "cv2.cvtColor",
... |
97510156 | import numpy as np
from scipy.integrate import odeint
import matplotlib.pyplot as plt
# --- Räuber-Beute-Modell mit beschränkter Beutepopulation ---
#Paramter
a = 2
b = 0.002
c = 2
d = 0.002
k = 20000
def dx1(x1,x2):
ret = (a * x1) - ((a/k) * x1**2) - (b * x1 * x2)
return ret
def dx2(x1,x2):
ret = -(c *... | null | src/RB_beschraekt.py | RB_beschraekt.py | py | 1,079 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.linspace",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "scipy.integrate.odeint",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 42,
"usage_type": "call"
},
{
"api_name": "matplotl... |
317067464 | # collin gros
# 05/11/2019
# arg description
# "s":scale_factor, "n":min_neighbors, "p":resolution_height, "z":cascade_xml,
# "w":warm, "c":cold, "l":low, "m":medium, "b":high,
# "v":vanilla_set, "f":hat_set, "e":glasses_set,
# "x":profile_pictures, "a":angled_pictures, "o":central_pictures,
# "g":shadows, "i":central... | null | main/progs/test.py | test.py | py | 6,876 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 34,
"usage_type": "call"
},
{
"api_name": "cv2.CascadeClassifier",
"line_number": 73,
"usage_type": "call"
},
{
"api_name": "cv2.face.LBPHFaceRecognizer_create",
"line_number": 76,
"usage_type": "call"
},
{
"... |
211598080 | from PIL import Image
from math import floor
import numpy as np
import filter.util as util
# 快速引导滤波算法，通过上下采样将复杂度降为O(N/s^2)
# 使用彩色图像作为Guide进行引导滤波
# 适用于RGB任何通道都无显著边界的情况
class FastCIPGuidedFilter(object):
def __init__(self):
# -- constant value --
self.__GREY_LEVEL = 256.0
# -- init value
... | null | filter/FastCIPGuidedFilter.py | FastCIPGuidedFilter.py | py | 12,268 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PIL.Image.open",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "PIL.Image",
"line_number": 40,
"usage_type": "name"
},
{
"api_name": "filter.util.list_to_matrix",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "filter.util",
... |
80203048 | #!/usr/bin/env python
"""The setup script."""
from setuptools import setup, find_packages
from os import getenv
with open("README.rst") as readme_file:
readme = readme_file.read()
with open("stuff/HISTORY.rst") as history_file:
history = history_file.read()
requirements = [
"esm_master @ git+https://gi... | null | setup.py | setup.py | py | 2,182 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.getenv",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "setuptools.setup",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "setuptools.find_packages",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "esm_rcfile.set_rc... |
546195495 | '''
Created on Jun 28, 2017
@author: make ma
'''
from AudioSrc import AudioSrc
from threading import Thread
from MsgHandler import MsgHandler, Message, MsgConst
from VoiceCmd import VoiceCmd
from OlamiNlp import OlamiNlp
#import uartapi
import time
import json
import bluetooth
class SpeechProcess(Thread):
'''
... | null | olami/SpeechProcess.py | SpeechProcess.py | py | 4,565 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "threading.Thread",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "threading.Thread.__init__",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "threading.Thread",
"line_number": 22,
"usage_type": "name"
},
{
"api_name": "AudioSrc.... |
179941774 | from math import sqrt, ceil
import numpy
from shapely import geometry
from shapely import ops
from rtree import index
import O4_UI_Utils as UI
max_pols_for_merge=20
##############################################################################
class Vector_Map():
nodata=-32768
dico_attributes = {'DUMMY':... | null | src/O4_Vector_Utils.py | O4_Vector_Utils.py | py | 31,121 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "rtree.index.Index",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "rtree.index",
"line_number": 20,
"usage_type": "name"
},
{
"api_name": "numpy.array",
"line_number": 91,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_num... |
489055366 | from ipaddress import ip_address, ip_network
import unittest
import logging
import sys
import random
from ipv6gen import IPv6Gen
lazy = False
class IPv6Tests(unittest.TestCase):
def setUp(self):
self.log = logging.getLogger()
self.log.setLevel(logging.DEBUG)
self.stream_handler = logging... | null | misc/ipv6/ipv6gen_test.py | ipv6gen_test.py | py | 3,824 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "logging.getLogger",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "logging.DEBUG",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "logging.S... |
80314077 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# sprint2.py
#
# Copyright 2020 Yan <yan@yan-Inspiron-5558>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the Lic... | null | sprint2.py | sprint2.py | py | 2,099 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "csv.writer",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 54,
"usage_type": "call"
}
] |
609103439 | """
################################data_helper.py################################
程序名称: data_helper.py
功能描述: 数据处理
创建人名: wuxinhui
创建日期: 2019-07-31
版本说明: v1.0
################################data_helper.py################################
"""
import os
import tqdm
import json
import pickle
import ran... | null | utils/data_helper.py | data_helper.py | py | 2,550 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.load",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 45,
"usage_type": "call"
},
{
"api_name": "pickle.dump",
"line_number": 68,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_... |
305422269 | import json
import json
import optparse
import os
import cv2
import numpy as np
from skimage.io import imread
from skimage.transform import resize
from helpers.helpers import mkdir_p
from metric_learning.main import face_align
from metric_learning.resnet34 import Resnet34
from validators.matio import save_mat
def m... | null | validators/megaface.py | megaface.py | py | 3,264 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "metric_learning.resnet34.Resnet34",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "json.load",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
... |
222731472 |
import itertools
import shutil
import os
import numpy as np
import pytest
from big_pivot import big_pivot
INPUT_PATTERN = 'test_data/input/ts_{}'
OUTPUT_PATTERN = 'test_data/output/grid_{}_{}'
TEST_BUFFER_LENGTH = 10
grid_x, grid_y, time_steps = 5, 5, 50
@pytest.fixture
def test_data():
# clean out the dire... | null | big_pivot/test_big_pivot.py | test_big_pivot.py | py | 1,430 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.exists",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 22,
"usage_type": "attribute"
},
{
"api_name": "shutil.rmtree",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "os.mkdir",
"line_number... |
615263664 | from flask import Flask, Session, render_template, request, redirect, jsonify, url_for, flash, send_from_directory
#from flask.ext.session import Session
#from sqlalchemy import create_engine, asc
#from sqlalchemy.orm import sessionmaker
from flask_sqlalchemy import SQLAlchemy
from database_setup import Category, Categ... | null | udacity-catalog-app-master/server.py | server.py | py | 14,764 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.Flask",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "flask.Session",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "flask_sqlalchemy.SQLAlchemy",
... |
293529083 | '''
Implementation based off of stack overflow post
https://stackoverflow.com/questions/27416296/how-to-push-a-csv-data-to-mongodb-using-python/53431264
'''
import csv
import json
import sys, getopt, pprint
from datetime import datetime
from pymongo import MongoClient
csvfile = open('freeway_stations.csv', 'rU')
csv... | null | insertStations.py | insertStations.py | py | 4,846 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "csv.DictReader",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "csv.DictReader",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "pymongo.MongoClient",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "datetime.datetime.s... |
341005535 | import tensorflow as tf
import tensorflow_addons as tfa
@tf.function
def Yolo_head(feats, anchors, num_classes, input_shape, calc_loss=False):
"""Create the spatial grid and adjust the prediction to their respective cell"""
num_anchors = len(anchors)
# Reshape to batch, height, width, num_anchors, box_par... | null | Archive/yolo.py | yolo.py | py | 6,503 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tensorflow.reshape",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tensorflow.constant",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "tensorflow.shape",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.ra... |
619123335 | # Run 1st
# Converts the dates of the file to their numerical equivalent and puts the data table back into a csv.
# Assumes no NaN entries
import pandas as pd
import datetime
from datetime import datetime
def convert_date_to_number(date):
d2 = datetime.strptime(date, "%Y-%m-%d")
d1 = datetime.st... | null | ConvertDates.py | ConvertDates.py | py | 958 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.strptime",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 13,
"usage_type": "call"
},
{
"api_name"... |
487455495 | """Unit test for Configuration logic."""
import asyncio
import unittest
from xknx import XKNX
from xknx.devices import (Action, BinarySensor, Climate, Cover, Light,
Notification, Sensor, Switch, Time)
# pylint: disable=too-many-public-methods,invalid-name
class TestConfig(unittest.TestCase)... | null | test/config_test.py | config_test.py | py | 11,339 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "unittest.TestCase",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "asyncio.new_event_loop",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "asyncio.set_event_loop",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "... |
6970915 | #!/usr/bin/env python3
# Copyright (c) 2023 Cisco and/or its affiliates.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at:
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required... | null | csit.infra.etl/stats.py | stats.py | py | 4,203 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pytz.utc.localize",
"line_number": 36,
"usage_type": "call"
},
{
"api_name": "pytz.utc",
"line_number": 36,
"usage_type": "name"
},
{
"api_name": "datetime.datetime.strptime",
"line_number": 37,
"usage_type": "call"
},
{
"api_name": "datetime.dateti... |
360210788 | from datetime import datetime
import json
import os
import http.client
from passlib.context import CryptContext
from myapp import models
from django.core import serializers
from django.core.exceptions import ValidationError, ObjectDoesNotExist
from django.db import connection
from django.db.utils import IntegrityErro... | null | myapp/view/equipo.py | equipo.py | py | 11,670 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "myapp.view.utilidades.usuarioAutenticado",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "django.db.connection.cursor",
"line_number": 66,
"usage_type": "call"
},
{
"api_name": "django.db.connection",
"line_number": 66,
"usage_type": "name"
},
... |
283486238 | import os
import tvm
import nnvm
import numpy as np
from nnvm import testing
from tvm import autotvm
from tvm.contrib.util import tempdir
from tvm.autotvm.tuner import XGBTuner, GATuner, RandomTuner, GridSearchTuner
import tvm.contrib.graph_runtime as runtime
from build import get_network
from utils import save_tvm_g... | null | tuner_deprecated.py | tuner_deprecated.py | py | 5,813 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "build.get_network",
"line_number": 20,
"usage_type": "call"
},
{
"api_name": "tvm.autotvm.task.extract_from_program",
"line_number": 61,
"usage_type": "call"
},
{
"api_name": "tvm.autotvm.task",
"line_number": 61,
"usage_type": "attribute"
},
{
"api... |
250720827 | import xmltodict
def processXML(fileName):
with open(fileName) as myXMLFile:
fileContentString = myXMLFile.read()
xmlDictionary = xmltodict.parse(fileContentString)
return xmlDictionary
productDict = processXML('bestand.xml')
products = productDict['artikelen']['artikel']
print('Naam | ... | null | Les 08/PE 8_1.py | PE 8_1.py | py | 440 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "xmltodict.parse",
"line_number": 7,
"usage_type": "call"
}
] |
167665149 | from flask import jsonify
from microsetta_private_api.api._account import \
_validate_account_access
from microsetta_private_api.repo.transaction import Transaction
from microsetta_private_api.repo.survey_template_repo import SurveyTemplateRepo
from microsetta_private_api.repo.vioscreen_repo import (
VioscreenS... | null | microsetta_private_api/api/_vioscreen.py | _vioscreen.py | py | 7,570 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "microsetta_private_api.repo.transaction.Transaction",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "microsetta_private_api.repo.survey_template_repo.SurveyTemplateRepo",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "microsetta_private_api.re... |
158736365 | import json
import subprocess
import sys
def shell(cmd):
sp = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
out, err = sp.communicate()
return out, err
def node_list_to_dict(nodes):
nodes_dict = {}
for node in nodes:
if node["Provisioning State"] not in ... | null | ironic/init_script/port_group_check.py | port_group_check.py | py | 4,325 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "subprocess.Popen",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "subprocess.PIPE",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "json.loads",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line... |
380383752 | # coding=utf-8
import json
import threading
from autobahn.twisted.websocket import WebSocketClientFactory, \
WebSocketClientProtocol, \
connectWS
from twisted.internet import reactor, ssl
from twisted.internet.protocol import ReconnectingClientFactory
from twisted.internet.error import ReactorAlreadyRunning
... | null | binance/futures_websockets.py | futures_websockets.py | py | 7,648 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "autobahn.twisted.websocket.WebSocketClientProtocol",
"line_number": 16,
"usage_type": "name"
},
{
"api_name": "autobahn.twisted.websocket.WebSocketClientProtocol",
"line_number": 19,
"usage_type": "argument"
},
{
"api_name": "json.loads",
"line_number": 28,
... |
473766351 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from six import with_metaclass
from scrapy.item import Field, Item, ItemMeta
from sqlalchemy.ext.declarative.api import DeclarativeMeta
from sqlalchemy.sql.schema import Table
class SqlalchemyItemMeta(ItemMeta):
def __new__(mcs, class_name, bases, attrs):
... | null | Labs-solutions/Lab7/Lab7.3/imdb/venv/lib/python3.7/site-packages/scrapy_sqlalchemyitem/__init__.py | __init__.py | py | 1,169 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scrapy.item.ItemMeta",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.ext.declarative.api.DeclarativeMeta",
"line_number": 15,
"usage_type": "argument"
},
{
"api_name": "sqlalchemy.sql.schema.Table",
"line_number": 17,
"usage_type": "ar... |
561146878 | #!/usr/bin/python
import argparse
import re
parser = argparse.ArgumentParser(description='Count initiators in "symaccess list login" output.')
parser.add_argument('-f','--file', help='Filename containing symaccess list login output.', required=True)
args = vars(parser.parse_args())
logins = open(args['file'... | null | count_symaccess_inits.py | count_symaccess_inits.py | py | 1,496 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 16,
"usage_type": "call"
}
] |
20362670 | from pyspark.sql import SparkSession
from pyspark.sql import functions as F
import pandas as pd
from pyspark.sql.functions import desc
spark = SparkSession \
.builder \
.appName("Python NBA Salaries") \
.getOrCreate()
df = spark.read.csv("NBACleanData/StatsClean.csv", header=True)
df.createOrReplaceTempV... | null | NBAdata/PositionPoints.py | PositionPoints.py | py | 625 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pyspark.sql.SparkSession.builder.appName",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pyspark.sql.SparkSession.builder",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "pyspark.sql.SparkSession",
"line_number": 7,
"usage_type": "... |
115602385 | # -*- coding: utf-8 -*-
"""
Created on Fri Mar 15 13:21:14 2019
@author: William
"""
from sigmoid import sigmoid
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(-6,6,1000)
y = np.array([sigmoid(i) for i in x])
plt.figure()
plt.plot(x, y)
plt.vlines(0, 0, 1.05)
plt.hlines(0, min(x), max(x))
plt.xli... | null | sigmoid graph.py | sigmoid graph.py | py | 590 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.linspace",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "sigmoid.sigmoid",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.figure",... |
312912804 | # -*- coding: utf-8 -*-
"""
Created on Sat Feb 1 10:45:09 2020
@author: tjtur
"""
from datetime import datetime
num = 26.7
now = datetime.utcnow()
day_of_year = datetime(now.year,now.month,now.day).timetuple().tm_yday
days_left = 366 - day_of_year
miles_left = 1000 - num
miles_per_day = miles_left... | null | bike_miles.py | bike_miles.py | py | 354 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "datetime.datetime.utcnow",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "datetime.datetime",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "datetime.datetime",
"line_number": 13,
"usage_type": "call"
}
] |
603622986 | from tensorflow import keras
from keras import models
from keras import layers
from keras import optimizers, losses, metrics
from keras import preprocessing
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import pickle
import os
import re
from konlpy.tag import Okt
# ( Seq2Seq의 동작을 제어하는 태그들 PA... | null | Ztest/ttt.py | ttt.py | py | 7,853 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "re.compile",
"line_number": 46,
"usage_type": "call"
},
{
"api_name": "pandas.read_csv",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "konlpy.tag.Okt",
"line_number": 56,
"usage_type": "call"
},
{
"api_name": "re.sub",
"line_number":... |
202701602 | import re
import django
from django.utils.text import wrap
from django.utils.translation import ugettext, ugettext_lazy as _
from django.template.loader import render_to_string
from django.conf import settings
from django.core.mail import send_mail
def format_quote(sender, body):
lines = wrap(body, 55).split('\n... | null | django_messages/utils.py | utils.py | py | 2,499 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.utils.text.wrap",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "django.utils.translation.ugettext",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "re.match",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "re.... |
487245183 | from django.urls import path
from teachapp import views
app_name = 'teachapp'
urlpatterns = [
path('admin_teach/', views.getdata_teach, name='admin_teach'),
path('add_teach/', views.add_teach, name='add_teach'),
path('addlogic_teach/', views.addlogic_teach, name='addlogic_teach'),
path('alter_teach/',... | null | teachingmanagement/teachapp/urls.py | urls.py | py | 655 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "teachapp.views.getdata_teach",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "teachapp.views",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "django... |
184942297 | import create_graphs
import utils
import networkx as nx
import tensorflow as tf
import numpy as np
from copy import deepcopy
class Dataset(object):
def __init__(self, file_path, is_real=True, batch_size=None):
assert batch_size is not None
self.graph_list = utils.load_graph_list(file_path, is_real... | null | research/graph_gen/get_data.py | get_data.py | py | 2,662 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "utils.load_graph_list",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "copy.deepcopy",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.random.permutation",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "numpy.ra... |
525559945 | # coding: utf-8
import contextlib
import functools
from subprocess import Popen, PIPE, check_output
from time import time
def error_message_factory(subcommand):
return functools.partial(error_with_message, subcommand)
def error_with_message(subcommand, reason, slack=None):
"""Raises a :py:exc:`RuntimeErro... | null | hammers/util.py | util.py | py | 1,290 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "functools.partial",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "contextlib.contextmanager",
"line_number": 33,
"usage_type": "attribute"
}
] |
415851537 | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.6.9 (default, Apr 18 2020, 01:56:04)
# [GCC 8.4.0]
# Embedded file name: build\bdist.win-amd64\egg\aiohttp_init\command.py
# Compiled at: 2019-10-11 05:22:07
# Size of source mod 2**32: 621 bytes
"""
@File : command.py
@Time : ... | null | pycfiles/aiohttp_init-0.0.1-py3.7/command.cpython-37.py | command.cpython-37.py | py | 785 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "argparse.ArgumentParser",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "core.initialize.Initialize",
"line_number": 25,
"usage_type": "call"
}
] |
641810487 | from dataclasses import dataclass
import random
from four_in_a_row_online.data import cards
from four_in_a_row_online.tools.tools import flatten
class DataContainer:
"""Super class for all objects that can be initialized randomly or have a default. Basically just a tool to make
testing a bit easier, since obj... | null | four_in_a_row_online/game_logic/data.py | data.py | py | 14,252 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "four_in_a_row_online.data.cards.ShuffleTurnOrder",
"line_number": 51,
"usage_type": "attribute"
},
{
"api_name": "four_in_a_row_online.data.cards",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "four_in_a_row_online.data.cards.ReverseTurnOrder",
"lin... |
404107776 | from flask import Flask, render_template, url_for, flash, redirect, request, session, json, current_app
from flaskWeb.forms import RegistrationForm, LoginForm
from flaskWeb.models import User, Post
from flaskWeb import app, db, bcrypt
from flask_login import login_user, current_user, logout_user, login_required
impor... | null | flaskWeb/routes.py | routes.py | py | 10,478 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask.render_template",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "flaskWeb.app.route",
"line_number": 51,
"usage_type": "call"
},
{
"api_name": "flaskWeb.app",
"line_number": 51,
"usage_type": "name"
},
{
"api_name": "flaskWeb.app.ro... |
469267652 | import hashlib
import time
import random
import string
from urllib.parse import quote
import requests
def curlmd5(src):
m = hashlib.md5(src.encode('UTF-8'))
# 将得到的MD5值所有字符转换成大写
return m.hexdigest().upper()
def get_params(plus_item):
global params
# 请求时间戳（秒级），用于防止请求重放（保证签名5分钟有效）
t = time.t... | null | dahewang/ploar/ploar.py | ploar.py | py | 1,858 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "hashlib.md5",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "time.time",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "random.sample",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "string.ascii_letters",
"line_... |
322299857 | __author__ = 'Maosen'
import torch
import torch.nn as nn
import torch.nn.functional as F
import utils
from utils import pos2id, ner2id
import sys
from tqdm import tqdm
class PCNN(nn.Module):
def __init__(self, args, rel2id, word_emb=None):
super(PCNN, self).__init__()
# arguments
hidden, vocab_size, emb_dim, po... | null | dual_sent/Neural/models/pcnn.py | pcnn.py | py | 5,154 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Module",
"line_number": 10,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 10,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding",
"line_number": 23,
"usage_type": "call"
},
{
"api_name": "torch.nn",
"line... |
306184107 | # -*- coding: utf-8 -*-
"""
Created on Thu Feb 16 14:42:16 2017
@author: insane
"""
import pickle
import csv
import numpy as np
from sklearn.metrics import accuracy_score
from sklearn.ensemble import RandomForestClassifier, ExtraTreesClassifier
exampleFile = open(r'./train.csv')
exampleReader = csv.reader(exampleFile)... | null | Original/classifier.py | classifier.py | py | 1,288 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "csv.reader",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.array",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "numpy.float32",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "csv.reader",
"line_number": ... |
92563288 | # **********************************************************************
# Copyright 2020 Advanced Micro Devices, Inc
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.o... | null | tools/build.py | build.py | py | 5,361 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "platform.system",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "pathlib.Path",
"line_number": 28,
"usage_type": "name"
},
{
"api_name": "shutil.rmtree",
"line_n... |
120047766 | #!/usr/bin/env python
# coding=utf-8
# Author: bloke
from multiprocessing import Process, Queue
import os
import time
def the_get(q):
print('Size:', q.qsize())
print(q.get())
def run(q):
q.put('Current pid: %s' % os.getpid())
if __name__ == '__main__':
q = Queue()
plist = []
pplist = []
... | null | my_test/多进程/进程队列.py | 进程队列.py | py | 675 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.getpid",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Queue",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "multiprocessing.Process",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "time.sleep",
... |
479470041 | import numpy as np
import pdb
def breakpoint(X):
print('\n------------------------trace---------------------------\n')
print(X)
print('\n------------------------trace---------------------------\n')
pdb.set_trace()
def randInitializeWeights(L_in,L_out):
# add bias weight
epsilon = 0.12
W = np.zeros((L_out,L_in+... | null | nn_API.py | nn_API.py | py | 4,783 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pdb.set_trace",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "numpy.zeros",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "numpy.random.rand",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_n... |
304147115 | from django.urls import path, re_path
from Api import views
urlpatterns_User = [
# 登录注册
path('login/', views.Login.as_view(), name='login'),
path('register/', views.Register.as_view(), name='register'),
# 用户
path('user/', views.UserOwn.as_view(), name='userown'),
re_path(r'^user/(?... | null | backend/apps/Api/urls/UserUrls.py | UserUrls.py | py | 678 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.urls.path",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "Api.views.Login.as_view",
"line_number": 6,
"usage_type": "call"
},
{
"api_name": "Api.views.Login",
"line_number": 6,
"usage_type": "attribute"
},
{
"api_name": "Api.views"... |
223961107 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('budget', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='otherbudgetitemcost',
... | null | application/budget/migrations/0002_auto_20150925_0211.py | 0002_auto_20150925_0211.py | py | 603 | 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.AlterField",
"line_number": 14,
"usage_type": "call"
},
{... |
110646715 | from selenium.webdriver import Firefox
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.support import expected_conditions as expected
from selenium.webdriver.support.wait import WebDriverWait
... | null | scrap.py | scrap.py | py | 3,580 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.support.wait.WebDriverWait",
"line_number": 39,
"usage_type": "call"
},
{
"api_name": "time.sleep",
"line_number": 40,
"usage_type": "call"
},
{
"api_name": "bs4.BeautifulSoup",
"line_number": 45,
"usage_type": "call"
},
{
"api_na... |
207804318 | from flask import request
from flask_accepts import responds
from flask_restx import Namespace, Resource
from app.schemes.product_schema import GetProductSchema
from repositories import product_repository
ns = Namespace('product', description='Product')
@ns.route('/list')
class ProductGetItemListResource(Resource):... | null | app/api/product_api.py | product_api.py | py | 984 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "flask_restx.Namespace",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "flask_restx.Resource",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "flask.request.args.get",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "flas... |
109572988 | from implicit.approximate_als import NMSLibAlternatingLeastSquares, augment_inner_product_matrix
from implicit.als import AlternatingLeastSquares
from implicit.bpr import BayesianPersonalizedRanking
from implicit.evaluation import precision_at_k, AUC_at_k
import numpy as np
from scipy import sparse
from ray import tun... | null | python/implicit_library_evaluation.py | implicit_library_evaluation.py | py | 4,903 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "scipy.sparse.load_npz",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "scipy.sparse",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "scipy.sparse.load_npz",
"line_number": 15,
"usage_type": "call"
},
{
"api_name": "scipy.sparse... |
87114825 | import os
import cv2
import sys
import glob
import random
import numpy as np
file_dir=sys.argv[1]
grid_len=int(sys.argv[2])
grid_num_row=8
grid_num_col=6
margin = 5
tabel_len_width=grid_num_col*grid_len*2
tabel_len_height=grid_num_row*grid_len
file_paths=glob.glob(file_dir+"/*_reality.jpg")
random.shuffle(file_paths... | null | GANs_Advanced/CartoonGAN/tools/getImageTable_compare.py | getImageTable_compare.py | py | 1,420 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "glob.glob",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "random.shuffle",
"line_number... |
139191351 | import numpy as np
import pandas as pd
from keras.utils import to_categorical
from keras.models import Sequential
from keras.layers import Dense, Conv2D, Flatten
def cnn(X_train, X_test, y_train, y_test,nbClust):
#Transform the training and testing set for the CNN
X_train = X_train.reshape(len(X_train), 28... | null | characterRecognition/CNN/CNN.py | CNN.py | py | 2,322 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "keras.utils.to_categorical",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "keras.utils.to_categorical",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "keras.models.Sequential",
"line_number": 20,
"usage_type": "call"
},
{
"api... |
486758353 | # Copyright 2015 Metaswitch Networks
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | null | calico_containers/tests/st/test_arg_parsing.py | test_arg_parsing.py | py | 2,954 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "test_base.TestBase",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "tests.st.utils.docker_host.DockerHost",
"line_number": 27,
"usage_type": "call"
},
{
"api_name": "subprocess.CalledProcessError",
"line_number": 40,
"usage_type": "argument"
},... |
338354364 | import uproot
import plotly.graph_objects as go
import matplotlib.cm
import matplotlib._color_data as mcd
import numpy as np
import pandas as pd
import math
import random
random.seed(0)
colors_ = list(mcd.XKCD_COLORS.values())
random.shuffle(colors_)
class HitsAndTracksPlotter(object):
def __init__(self):
... | null | HitsAndTracksPlotter.py | HitsAndTracksPlotter.py | py | 22,214 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "random.seed",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "matplotlib._color_data.XKCD_COLORS.values",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "matplotlib._color_data.XKCD_COLORS",
"line_number": 10,
"usage_type": "attribute"
... |
352893902 | import matplotlib.pyplot as plt
def dd(start,end,y,x):
if start != end:
return (dd(start,end-1,y,x)-dd(start+1,end,y,x))/(x[0][start]-x[0][end])
else:
return y[0][start]
x=list()
y=list()
out=list()
inp=list()
t=0
with open("C:/Users/User/Downloads/kagglecat... | null | newton's_interpolation.py | newton's_interpolation.py | py | 1,159 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "matplotlib.pyplot.plot",
"line_number": 54,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 54,
"usage_type": "name"
}
] |
209427464 | import base64
import json
import time
def encode_dict(obj: dict) -> str:
"""Encode a dictionary to a base64 encoded json string."""
dumps = json.dumps(obj, separators=(',', ':'))
return base64.b64encode(dumps.encode()).decode()
def decode_dict(obj: str) -> dict:
"""Decode a base64 encoded json strin... | null | ev3dev/testfs/_util.py | _util.py | py | 1,250 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "json.dumps",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "base64.b64decode",
"line_num... |
424235854 | from django.conf import settings
import json
import requests
SPECIAL_CASES = {'75000': 'Paris'}
def get_geo(zipcode):
searched_code = zipcode
if zipcode in SPECIAL_CASES:
searched_code = SPECIAL_CASES[zipcode]
url = "http://maps.google.com/maps/geo?q=%s,+France&output=json&sensor=false&key=%s" % ... | null | geo.py | geo.py | py | 1,060 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "django.conf.settings.GOOGLE_MAPS_KEY",
"line_number": 12,
"usage_type": "attribute"
},
{
"api_name": "django.conf.settings",
"line_number": 12,
"usage_type": "name"
},
{
"api_name": "requests.get",
"line_number": 28,
"usage_type": "call"
},
{
"api_n... |
428333813 | from random import random
from compas.geometry import Pointcloud
from compas_plotters import Plotter
from compas.utilities import i_to_green
from compas.utilities import i_to_red
# construct a point cloud within a given box and by the number of the points in it
cloud = Pointcloud.from_bounds(10, 5, 0, 20)
# create a ... | null | code/02_geometry/examples/ex4_pointcloud_plotting.py | ex4_pointcloud_plotting.py | py | 955 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "compas.geometry.Pointcloud.from_bounds",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "compas.geometry.Pointcloud",
"line_number": 8,
"usage_type": "name"
},
{
"api_name": "random.random",
"line_number": 14,
"usage_type": "call"
},
{
"api... |
109604256 | import json
import os
import sys
import requests
from lib.utils import log
def sync_user():
url='https://lostandfound.yiwangchunyu.wang/service/user/getById'
for i in range(10,700):
r = requests.post(url,data={'id':i,'user_id':10152150127}).json()
data=r['data']
payload = {
... | null | sync/snyc_from_v1.py | snyc_from_v1.py | py | 3,176 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "requests.post",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "requests.post",
"line_n... |
610880734 | import time
from selenium import webdriver
# 1.定义工具类
class DriverUtils:
# 私有变量，用来存储浏览器驱动对象
__driver = None
__openkey = False
# 2.1定义获取浏览器驱动对象的方法
# a、实现基本获取浏览器驱动的方法
# b、为了方便其它地方调用，不想每次都实例化，则将方法定义为类级别的方法
# c、为了保障整个测试用例执行过程中所操作的浏览器对象的唯一性，添加判断条件
# 容易出错的地方
# 1.在if中的代码不要写成cls.driver
... | null | webAutoTestTPshop/utils.py | utils.py | py | 1,432 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "selenium.webdriver.Chrome",
"line_number": 25,
"usage_type": "call"
},
{
"api_name": "selenium.webdriver",
"line_number": 25,
"usage_type": "name"
},
{
"api_name": "time.sleep",
"line_number": 34,
"usage_type": "call"
}
] |
479198825 | from PyQt5 import QtWidgets
from MusicalIllusion.Interfaces.ExperimentSetup import ExperimentSetup
from MusicalIllusion.Interfaces.SIExperimentPanel import SIExperimentPanel
from MusicalIllusion.Interfaces.TOJExperimentPanel import TOJExperimentPanel
class ExperimentBase(QtWidgets.QWidget):
def __init__(self):
... | null | src/python3/MusicalIllusion/Experiments/ExperimentBase.py | ExperimentBase.py | py | 734 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "PyQt5.QtWidgets",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "PyQt5.QtWidgets.QWidget",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name":... |
487085030 | from torch.nn import Module
from torch.functional import F
import numpy as np
import torch
import gym
from gym.spaces import Box, Discrete, MultiDiscrete, MultiBinary, Tuple, Dict
def onehotdim(space: gym.Space) -> int:
if isinstance(space, Box):
return int(np.prod(space.shape))
elif isinstance(space,... | null | pyrl/pyrl/transforms/one_hot_transform.py | one_hot_transform.py | py | 3,940 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "gym.Space",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "gym.spaces.Box",
"line_number": 10,
"usage_type": "argument"
},
{
"api_name": "numpy.prod",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "gym.spaces.Discrete",
... |
334448199 | from model import Context_Encoder, Adversarial_Discriminator
import torch
import torch.nn as nn
import torch.nn.functional as F
from timeit import default_timer
import numpy as np
from utils import train_loader
import os
def train(input_path, save_path, hole_size=64, batch_size=32,
lr_g=0.001, lr_d=0.0001... | null | Context_encoder/train.py | train.py | py | 5,417 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "model.Context_Encoder",
"line_number": 16,
"usage_type": "call"
},
{
"api_name": "model.Adversarial_Discriminator",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "utils.train_loader",
"line_number": 18,
"usage_type": "call"
},
{
"api_name... |
364449193 | import json
import copy
# Opening JSON file
# with open('db.json') as json_file:
# data = json.load(json_file)
# # Print the type of data variable
# print("Type:", type(data))
data = {}
a = {
"id": 0,
"description": "1th Waltz by Mike Paer.",
"image": "https://i.ibb.co/7YGYgpb/waltz.jpg... | null | test.py | test.py | py | 1,972 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "copy.deepcopy",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "json.dump",
"line_number": 37,
"usage_type": "call"
}
] |
120691904 | #交叉驗證
#套件
import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.svm import SVC
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import GridSear... | null | 模型選擇/交叉驗證.py | 交叉驗證.py | py | 1,614 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pandas.read_csv",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "sklearn.model_selection.train_test_split",
"line_number": 18,
"usage_type": "call"
},
{
"api_name": "sklearn.preprocessing.StandardScaler",
"line_number": 22,
"usage_type": "call"
... |
275867716 | #!/usr/bin/python
'''
(C) Copyright 2018 Intel Corporation.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable ... | null | src/tests/ftest/object/PunchTest.py | PunchTest.py | py | 16,042 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.path.append",
"line_number": 32,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_number": 32,
"usage_type": "attribute"
},
{
"api_name": "sys.path.append",
"line_number": 33,
"usage_type": "call"
},
{
"api_name": "sys.path",
"line_nu... |
507517296 | import random
import numpy as np
import matplotlib.pyplot as plt
class Cell:
"""A cell in the maze.
A maze "Cell" is a point in the grid which may be surrounded by walls to
the north, east, south or west.
"""
# A wall separates a pair of cells in the N-S or W-E directions.
wal... | null | noWalls/environment/thinWalsMazeMA.py | thinWalsMazeMA.py | py | 4,941 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.array",
"line_number": 49,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot.subplots",
"line_number": 74,
"usage_type": "call"
},
{
"api_name": "matplotlib.pyplot",
"line_number": 74,
"usage_type": "name"
},
{
"api_name": "numpy.arange... |
449175240 | #!/usr/bin/env python3
from operator import mul
from itertools import product
from functools import reduce
import sys
print('% generator: img/fft.py')
def prod(xs):
return reduce(mul, xs, 1)
def dot(a, b):
return sum(x * y for x, y in zip(a, b))
flip = sys.argv[1] == 'cooley'
N = list(map(int, sys.argv[2:... | null | img/fft.py | fft.py | py | 3,643 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "functools.reduce",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "operator.mul",
"line_number": 11,
"usage_type": "argument"
},
{
"api_name": "sys.argv",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "sys.argv",
"line_... |
258061825 | #!/usr/bin/env python
from __future__ import print_function
import sys
import argparse
try:
from catkin_pkg.package import parse_package
except ImportError as impe:
sys.exit("ERROR Cannot find a module of catkin_pkg, make sure it is up to date and on the PYTHONPATH, see catkin install instructions: %s" % impe... | null | root/ros_core_ws/install/share/catkin/cmake/parse_package_xml.py | parse_package_xml.py | py | 1,593 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.exit",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 34,
"usage_type": "attribute"
},
{
"api_name": "argparse.ArgumentParser",
"line_number": 38,
"usage_type": "call"
},
{
"api_name": "catkin_pkg.package.par... |
308423456 | # To install python setup.py install --prefix=$PREFIX
from setuptools import setup, find_packages
from codecs import open
from os import path, remove
import sys
prefix = '/usr/local'
for arg in sys.argv:
if '--prefix' in arg:
prefix = arg[arg.find('=')+1:]
if prefix == '/usr':
prefix = ''
here = path.... | null | setup.py | setup.py | py | 1,253 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sys.argv",
"line_number": 8,
"usage_type": "attribute"
},
{
"api_name": "os.path.abspath",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 14,
"usage_type": "name"
},
{
"api_name": "os.path.dirname",
"line_numb... |
360747070 | # 1 2 3 4 5 6 7
#1234567890123456789012345678901234567890123456789012345678901234567890123456789
# coding: utf-8
import hashlib
import hmac
import requests
import json
import time
# [START MySlackBot]
#
# General purpose class for Slack Bot.
#
# Supported with... | null | myslackbot.py | myslackbot.py | py | 5,928 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "time.time",
"line_number": 59,
"usage_type": "call"
},
{
"api_name": "hmac.new",
"line_number": 65,
"usage_type": "call"
},
{
"api_name": "hashlib.sha256",
"line_number": 66,
"usage_type": "attribute"
},
{
"api_name": "time.time",
"line_number":... |
306357913 | import numpy as np
import re
import gensim
from datetime import datetime
from nlp_preprocess import *
from apiclient.discovery import build
from dotenv import load_dotenv
load_dotenv()
np.random.seed(400)
def create_empty_hours():
"""
Used to Create n Length 0 Array
"""
data = {}
for i in range(... | null | back-end/helper_funcs.py | helper_funcs.py | py | 7,111 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "dotenv.load_dotenv",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "numpy.random.seed",
"line_number": 11,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 11,
"usage_type": "attribute"
},
{
"api_name": "apiclient.disco... |
96066159 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
import datetime
import requests
import json
import pandas as pd
import platform
import os
import time
from urllib.parse import urlencode
# from pyquery import PyQuery as pq
host = 'm.weibo.cn'
base_url = 'http://39.105.189.154:12998/sys/login/restful'
user_agent = 'User-Agent... | null | aj/code/get_data.py | get_data.py | py | 11,922 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.path.abspath",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 26,
"usage_type": "attribute"
},
{
"api_name": "os.path.dirname",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "platform.system",
"l... |
607246592 | import keras
from keras.models import Sequential, load_model
from keras.layers import Dense
from keras.utils import to_categorical
from keras.initializers import glorot_uniform
from keras.regularizers import l1_l2
from .Classifier import *
from statistics import mean
class NeuralNetworkClassifier(Classifier):... | null | service/ml_toolkit/NeuralNetworkClassifier.py | NeuralNetworkClassifier.py | py | 15,487 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "keras.models.Sequential",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "keras.layers.Dense",
"line_number": 26,
"usage_type": "call"
},
{
"api_name": "keras.initializers.glorot_uniform",
"line_number": 29,
"usage_type": "call"
},
{
"api_... |
644559415 | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
class TextCNN(nn.Module):
def __init__(self,vocab_size,emb_dim,filter_sizes,num_filter,num_classes,embedding_pretrained,dropout):
super(TextCNN, self).__init__()
if embedding_pretrained is not None:
... | null | text classify attention and textCNN/textCNN.py | textCNN.py | py | 1,174 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "torch.nn.Module",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "torch.nn",
"line_number": 9,
"usage_type": "name"
},
{
"api_name": "torch.nn.Embedding.from_pretrained",
"line_number": 14,
"usage_type": "call"
},
{
"api_name": "torch.... |
40336476 | # from python
import csv, zipfile, hashlib
import os, string
from decimal import Decimal
from datetime import datetime
# from django
from django.utils.translation import ugettext as _
from django.db.models import get_model
from django.db import connection, IntegrityError
from infra.custom import CustomException
from ... | null | infra/objects/archive_model.py | archive_model.py | py | 23,411 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "bin.constants.WORD_SEPARATOR.join",
"line_number": 55,
"usage_type": "call"
},
{
"api_name": "bin.constants.WORD_SEPARATOR",
"line_number": 55,
"usage_type": "name"
},
{
"api_name": "bin.constants.WORD_SEPARATOR.join",
"line_number": 57,
"usage_type": "call... |
556357232 | """Tests for RFI thresholding algorithms."""
from abc import ABC, abstractmethod
from typing import Type
import numpy as np
from .. import host
from ...abc import AbstractContext, AbstractCommandQueue
from ...test.test_accel import device_test, force_autotune
from .. import device
_deviations: np.ndarray
_spikes: ... | null | katsdpsigproc/rfi/test/test_threshold.py | test_threshold.py | py | 2,688 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.ndarray",
"line_number": 14,
"usage_type": "attribute"
},
{
"api_name": "numpy.ndarray",
"line_number": 15,
"usage_type": "attribute"
},
{
"api_name": "numpy.random.RandomState",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "numpy.... |
148332340 | import keras
import tensorflow as tf
from keras.layers import Layer
import numpy as np
class L2Normalize(Layer):
"""
This layer mainly change the visual sight of the image, used in VGG16-based SSD
"""
def __init__(self, scale, **kwargs):
self.gamma = None
self.scale = scale
sel... | null | model/layer/normalized.py | normalized.py | py | 955 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "keras.layers.Layer",
"line_number": 7,
"usage_type": "name"
},
{
"api_name": "numpy.ones",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "tensorflow.Variable",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "tensorflow.nn.l2_nor... |
15433115 | import httplib2
import json
def getGeocodeLocation(inputString, map_api_key):
# I didnt use Google's api because it's not free anymore.
locationString = inputString.replace(" ", "+")
url = ("https://api.opencagedata.com/geocode/v1/json?q={}&key={}".format(locationString, map_api_key))
h = httplib2.Ht... | null | udacity_designing_restful_apis/Lesson 3/Restaurants/geocode.py | geocode.py | py | 523 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "httplib2.Http",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 11,
"usage_type": "call"
}
] |
462688717 | # 查看标注是否正确, 将标注结果在标注的原图显示出来
import os
import cv2
label_dir = "./data/location/labels"
def check_img():
for label in os.listdir(label_dir):
if not label.endswith("json"):
continue
label_path = os.path.join(label_dir, label)
print(label_path)
with open(lab... | null | Ice_Thickness_Estimation/check_labels.py | check_labels.py | py | 968 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.listdir",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "os.path.join",
"line_number": 13,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 13,
"usage_type": "attribute"
},
{
"api_name": "cv2.imread",
"line_number": ... |
437528267 | """add more classes
Revision ID: c54fa49fa656
Revises: 25089f664c07
Create Date: 2020-09-29 19:37:50.642132
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'c54fa49fa656'
down_revision = '25089f664c07'
branch_labels = None
depends_on = None
def upgrade():
... | null | migrations/versions/c54fa49fa656_add_more_classes.py | c54fa49fa656_add_more_classes.py | py | 2,169 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "alembic.op.create_table",
"line_number": 21,
"usage_type": "call"
},
{
"api_name": "alembic.op",
"line_number": 21,
"usage_type": "name"
},
{
"api_name": "sqlalchemy.Column",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "sqlalchemy.Integ... |
150676516 | import logging
import click
from mlcommons_box import parse # Do not remove (it registers schemas on import)
from mlcommons_box.common import mlbox_metadata, objects
from mlcommons_box.common.objects import platform_config
from mlcommons_box_k8s.k8s_run import KubernetesRun
@click.group(name='mlcommons_box_k8s')
de... | null | runners/mlcommons_box_k8s/mlcommons_box_k8s/main.py | main.py | py | 1,869 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "click.group",
"line_number": 10,
"usage_type": "call"
},
{
"api_name": "logging.basicConfig",
"line_number": 41,
"usage_type": "call"
},
{
"api_name": "logging.getLogger",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "mlcommons_box.commo... |
38485284 | from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input, Dropout, BatchNormalization, Activation
from tensorflow.keras.layers import Conv3D, Conv3DTranspose
from tensorflow.keras.layers import MaxPooling3D
from tensorflow.keras.layers import concatenate
from utils.nn import pad_to_fit, crop... | null | networks/archs/unet3d.py | unet3d.py | py | 2,506 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "tensorflow.keras.layers.Conv3D",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.BatchNormalization",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "tensorflow.keras.layers.Activation",
"line_number": 20,
"usage_... |
386523964 | from OpenSSL.crypto import PKCS12,X509,load_pkcs12,sign,verify
import base64
f=open('d:/123.pfx','rb')#读取证书文件
bcert=f.read()
f.close()
pkcs=load_pkcs12(bcert, b'22222222')#加载pkcs
x509=pkcs.get_certificate()#加载证书
prkey=pkcs.get_privatekey()#提取私钥
f=open('d:/new.txt','rb') #打开签章文件
content=f.read() #读取签章文件
f.... | null | source/sign.py | sign.py | py | 1,209 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "OpenSSL.crypto.load_pkcs12",
"line_number": 8,
"usage_type": "call"
},
{
"api_name": "OpenSSL.crypto.sign",
"line_number": 22,
"usage_type": "call"
},
{
"api_name": "base64.b64encode",
"line_number": 24,
"usage_type": "call"
},
{
"api_name": "OpenSS... |
388841398 | from pynput import keyboard
import time
def on_release(key):
print(key)
listener = keyboard.Listener(on_release=on_release)
listener.start()
while True:
# do whatever you need here)
key = listener | null | keys.py | keys.py | py | 211 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "pynput.keyboard.Listener",
"line_number": 7,
"usage_type": "call"
},
{
"api_name": "pynput.keyboard",
"line_number": 7,
"usage_type": "name"
}
] |
77749833 | # importation du module necessaires
import sqlite3
import mariadb
class database:
# https://docs.python.org/3/library/sqlite3.html
def __init__(self, base, module = "sqlite3"):
"""
méthode constructrice de la classe
parametres:
base, une chaine de caracteres... | null | modules/module_database.py | module_database.py | py | 2,580 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "sqlite3.connect",
"line_number": 28,
"usage_type": "call"
},
{
"api_name": "mariadb.connect",
"line_number": 30,
"usage_type": "call"
},
{
"api_name": "sqlite3.connect",
"line_number": 44,
"usage_type": "call"
},
{
"api_name": "mariadb.connect",
... |
558901775 | import collections
import json
import os
import sys
import tqdm
os.environ['DJANGO_SETTINGS_MODULE'] = 'settings'
import django
django.setup()
from seqr.models import Individual
def get_hpo_terms(phenotype_data):
"""Returns the set of HPO terms found in this phenotype collection. """
hpo_terms = []
try:
... | null | docker/base-scripts/simulate_and_call/add_seqr_columns.py | add_seqr_columns.py | py | 2,788 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "os.environ",
"line_number": 7,
"usage_type": "attribute"
},
{
"api_name": "django.setup",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "json.loads",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "sys.argv",
"line_number": 4... |
230979383 | """
used for cluster job submission and parameter search over main2.py, final model analysis
"""
import itertools
import os
import sys
import logging
BASE ='LD_LIBRARY_PATH="/share/apps/libc6_2.23/lib/x86_64-linux-gnu:/share/apps/libc6_2.23/lib64:/\
share/apps/gcc-6.2.0/lib64:/share/apps... | null | 02_Autoencoder_rotation/hpc_job_script.py | hpc_job_script.py | py | 4,196 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "itertools.product",
"line_number": 19,
"usage_type": "call"
},
{
"api_name": "os.path.exists",
"line_number": 79,
"usage_type": "call"
},
{
"api_name": "os.path",
"line_number": 79,
"usage_type": "attribute"
},
{
"api_name": "os.path.exists",
"l... |
638588794 | import logging
import timeit
NANOSECONDS = 10 ** 9
MILLISECONDS = 10 ** 3
def benchit(name, f, number, *args):
logging.disable(logging.CRITICAL)
n = int(number)
seconds = timeit.timeit(lambda: f(*args), number=n)
avg_milliseconds = (seconds * MILLISECONDS) / number
avg_nanoseconds = (seconds * N... | null | tests/bench.py | bench.py | py | 658 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "logging.disable",
"line_number": 9,
"usage_type": "call"
},
{
"api_name": "logging.CRITICAL",
"line_number": 9,
"usage_type": "attribute"
},
{
"api_name": "timeit.timeit",
"line_number": 12,
"usage_type": "call"
},
{
"api_name": "logging.disable",
... |
254118865 | import os
import json
import re
import __main__
import numpy as np
from . import _sample
from .settings import alpha, beta, K, dict_file, iter_max
def n2s(counts):
"""Convert a counts vector to corresponding samples."""
samples = []
for (value, count) in enumerate(counts):
samples... | null | code/mylda/lda.py | lda.py | py | 7,556 | python | en | code | null | code-starcoder2 | 83 | [
{
"api_name": "numpy.random.permutation",
"line_number": 17,
"usage_type": "call"
},
{
"api_name": "numpy.random",
"line_number": 17,
"usage_type": "attribute"
},
{
"api_name": "settings.K",
"line_number": 23,
"usage_type": "name"
},
{
"api_name": "settings.alpha"... |
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