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#!/usr/bin/env python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
#
# 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 writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import json
import warnings
from pathlib import Path
from typing import TypeVar
import imageio
JsonLike = str | int | float | bool | None | list["JsonLike"] | dict[str, "JsonLike"] | tuple["JsonLike", ...]
T = TypeVar("T", bound=JsonLike)
def write_video(video_path, stacked_frames, fps):
# Filter out DeprecationWarnings raised from pkg_resources
with warnings.catch_warnings():
warnings.filterwarnings(
"ignore", "pkg_resources is deprecated as an API", category=DeprecationWarning
)
imageio.mimsave(video_path, stacked_frames, fps=fps)
def deserialize_json_into_object(fpath: Path, obj: T) -> T:
"""
Loads the JSON data from `fpath` and recursively fills `obj` with the
corresponding values (strictly matching structure and types).
Tuples in `obj` are expected to be lists in the JSON data, which will be
converted back into tuples.
"""
with open(fpath, encoding="utf-8") as f:
data = json.load(f)
def _deserialize(target, source):
"""
Recursively overwrite the structure in `target` with data from `source`,
performing strict checks on structure and type.
Returns the updated version of `target` (especially important for tuples).
"""
# If the target is a dictionary, source must be a dictionary as well.
if isinstance(target, dict):
if not isinstance(source, dict):
raise TypeError(f"Type mismatch: expected dict, got {type(source)}")
# Check that they have exactly the same set of keys.
if target.keys() != source.keys():
raise ValueError(
f"Dictionary keys do not match.\nExpected: {target.keys()}, got: {source.keys()}"
)
# Recursively update each key.
for k in target:
target[k] = _deserialize(target[k], source[k])
return target
# If the target is a list, source must be a list as well.
elif isinstance(target, list):
if not isinstance(source, list):
raise TypeError(f"Type mismatch: expected list, got {type(source)}")
# Check length
if len(target) != len(source):
raise ValueError(f"List length mismatch: expected {len(target)}, got {len(source)}")
# Recursively update each element.
for i in range(len(target)):
target[i] = _deserialize(target[i], source[i])
return target
# If the target is a tuple, the source must be a list in JSON,
# which we'll convert back to a tuple.
elif isinstance(target, tuple):
if not isinstance(source, list):
raise TypeError(f"Type mismatch: expected list (for tuple), got {type(source)}")
if len(target) != len(source):
raise ValueError(f"Tuple length mismatch: expected {len(target)}, got {len(source)}")
# Convert each element, forming a new tuple.
converted_items = []
for t_item, s_item in zip(target, source, strict=False):
converted_items.append(_deserialize(t_item, s_item))
# Return a brand new tuple (tuples are immutable in Python).
return tuple(converted_items)
# Otherwise, we're dealing with a "primitive" (int, float, str, bool, None).
else:
# Check the exact type. If these must match 1:1, do:
if type(target) is not type(source):
raise TypeError(f"Type mismatch: expected {type(target)}, got {type(source)}")
return source
# Perform the in-place/recursive deserialization
updated_obj = _deserialize(obj, data)
return updated_obj
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