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# This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
# See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
# Author(s): Hind Montassif
#
# Copyright (C) 2021 Inria
#
# Modification(s):
# - YYYY/MM Author: Description of the modification
from os.path import join, exists
from os import makedirs
from urllib.request import urlretrieve
import hashlib
import numpy as np
def _checksum_sha256(file_path):
"""
Compute the file checksum using sha256.
Parameters
----------
file_path: string
Full path of the created file.
Returns
-------
The hex digest of file_path.
"""
sha256_hash = hashlib.sha256()
chunk_size = 4096
with open(file_path,"rb") as f:
# Read and update hash string value in blocks of 4K
while True:
buffer = f.read(chunk_size)
if not buffer:
break
sha256_hash.update(buffer)
return sha256_hash.hexdigest()
def _fetch_remote(url, filename, dirname = "remote_datasets", file_checksum = None, accept_license = False):
"""
Fetch the wanted dataset from the given url and save it in file_path.
Parameters
----------
url : string
The url to fetch the dataset from.
filename : string
The name to give to downloaded file.
dirname : string
The directory to save the file to. Default is "remote_datasets".
file_checksum : string
The file checksum using sha256 to check against the one computed on the downloaded file.
Default is 'None'.
accept_license : boolean
Flag to specify if user accepts the file LICENSE and prevents from printing the corresponding license terms.
Default is False.
Returns
-------
file_path: string
Full path of the created file.
"""
file_path = join(dirname, filename)
# Get the file
urlretrieve(url, file_path)
if file_checksum is not None:
checksum = _checksum_sha256(file_path)
if file_checksum != checksum:
raise IOError("{} has a SHA256 checksum : {}, "
"different from expected : {}."
"The file may be corrupted or the given url may be wrong !".format(file_path, checksum, file_checksum))
# Print license terms unless accept_license is set to True
if not accept_license:
license_file = join(dirname, "LICENSE")
if exists(license_file) and (file_path != license_file):
with open(license_file, 'r') as f:
print(f.read())
return file_path
def fetch_spiral_2d(filename = "spiral_2d.csv", dirname = "remote_datasets"):
"""
Fetch "spiral_2d.csv" remotely.
Parameters
----------
filename : string
The name to give to downloaded file. Default is "spiral_2d.csv".
dirname : string
The directory to save the file to. Default is "remote_datasets".
Returns
-------
points: array
Array of points stored in "spiral_2d.csv".
"""
file_url = "https://raw.githubusercontent.com/GUDHI/gudhi-data/main/points/spiral_2d.csv"
file_checksum = '37530355d980d957c4ec06b18c775f90a91e446107d06c6201c9b4000b077f38'
archive_path = join(dirname, filename)
if not exists(archive_path):
# Create directory if not existing
if not exists(dirname):
makedirs(dirname)
file_path_pkl = _fetch_remote(file_url, filename, dirname, file_checksum)
return np.loadtxt(file_path_pkl)
else:
return np.loadtxt(archive_path)
def fetch_bunny(filename = "bunny.npy", dirname = "remote_datasets/bunny", accept_license = False):
"""
Fetch "bunny.npy" remotely and its LICENSE file.
Parameters
----------
filename : string
The name to give to downloaded file. Default is "bunny.npy".
dirname : string
The directory to save the file to. Default is "remote_datasets/bunny".
accept_license : boolean
Flag to specify if user accepts the file LICENSE and prevents from printing the corresponding license terms.
Default is False.
Returns
-------
points: array
Array of points stored in "bunny.npy".
"""
file_url = "https://raw.githubusercontent.com/GUDHI/gudhi-data/main/points/bunny/bunny.npy"
file_checksum = '13f7842ebb4b45370e50641ff28c88685703efa5faab14edf0bb7d113a965e1b'
license_url = "https://raw.githubusercontent.com/GUDHI/gudhi-data/main/points/bunny/LICENSE"
license_checksum = 'aeb1bad319b7d74fa0b8076358182f9c6b1284c67cc07dc67cbc9bc73025d956'
archive_path = join(dirname, filename)
if not exists(archive_path):
# Create directory if not existing
if not exists(dirname):
makedirs(dirname)
license_path = _fetch_remote(license_url, "LICENSE", dirname, license_checksum)
file_path_pkl = _fetch_remote(file_url, filename, dirname, file_checksum, accept_license)
return np.load(file_path_pkl, mmap_mode='r')
else:
return np.load(archive_path, mmap_mode='r')
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