# Path: libml/data.py
# DATA_DIR = os.environ['ML_DATA']


import collections
import functools
import json
import os
import sys
import tempfile
import numpy as np
import scipy.io
import tensorflow as tf
from urllib import request
from libml.data import DATA_DIR
from tqdm import trange
def _save_files(files, *args, **kwargs):
    del args, kwargs
    for folder in frozenset(os.path.dirname(x) for x in files):
        os.makedirs(os.path.join(DATA_DIR, folder), exist_ok=True)
    for filename, contents in files.items():
        with open(os.path.join(DATA_DIR, filename), 'w') as f:
            f.write(contents)


def _is_installed_folder(name, folder):
    return os.path.exists(os.path.join(DATA_DIR, name, folder))


CONFIGS = dict(
    svhn200=dict(loader=functools.partial(_load_private_svhn, 'svhn200'),
                 checksums=dict(train=None, test=None, extra=None)),
    svhn200s150=dict(loader=functools.partial(_load_private_svhn, 'svhn200s150'),
                     checksums=dict(train=None, test=None, extra=None)),
    svhn300=dict(loader=functools.partial(_load_private_svhn, 'svhn300'),
                 checksums=dict(train=None, test=None, extra=None)),
    svhn500=dict(loader=functools.partial(_load_private_svhn, 'svhn500'),
                 checksums=dict(train=None, test=None, extra=None)),
)

if __name__ == '__main__':
    if len(sys.argv[1:]):
        subset = set(sys.argv[1:])
    else:
        subset = set(CONFIGS.keys())
    try:

# Path: libml/data.py
# DATA_DIR = os.environ['ML_DATA']


# Path: privacy/scripts/create_datasets.py
import collections
import functools
import json
import os
import sys
import tempfile
import numpy as np
import scipy.io
import tensorflow as tf
from urllib import request
from libml.data import DATA_DIR
from tqdm import trange

def _save_files(files, *args, **kwargs):
    del args, kwargs
    for folder in frozenset(os.path.dirname(x) for x in files):
        os.makedirs(os.path.join(DATA_DIR, folder), exist_ok=True)
    for filename, contents in files.items():
        with open(os.path.join(DATA_DIR, filename), 'w') as f:
            f.write(contents)


def _is_installed_folder(name, folder):
    return os.path.exists(os.path.join(DATA_DIR, name, folder))


CONFIGS = dict(
    svhn200=dict(loader=functools.partial(_load_private_svhn, 'svhn200'),
                 checksums=dict(train=None, test=None, extra=None)),
    svhn200s150=dict(loader=functools.partial(_load_private_svhn, 'svhn200s150'),
                     checksums=dict(train=None, test=None, extra=None)),
    svhn300=dict(loader=functools.partial(_load_private_svhn, 'svhn300'),
                 checksums=dict(train=None, test=None, extra=None)),
    svhn500=dict(loader=functools.partial(_load_private_svhn, 'svhn500'),
                 checksums=dict(train=None, test=None, extra=None)),
)

if __name__ == '__main__':
    if len(sys.argv[1:]):
        subset = set(sys.argv[1:])
    else:
        subset = set(CONFIGS.keys())
    try:

        os.makedirs(DATA_DIR)