Spaces:
Build error
Build error
# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. | |
# SPDX-License-Identifier: Apache-2.0 | |
# | |
# 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. | |
from io import BytesIO | |
from typing import IO, Any | |
import numpy as np | |
from cosmos_predict1.utils.easy_io.handlers.base import BaseFileHandler | |
class NumpyHandler(BaseFileHandler): | |
str_like = False | |
def load_from_fileobj(self, file: IO[bytes], **kwargs) -> Any: | |
""" | |
Load a NumPy array from a file-like object. | |
Parameters: | |
file (IO[bytes]): The file-like object containing the NumPy array data. | |
**kwargs: Additional keyword arguments passed to `np.load`. | |
Returns: | |
numpy.ndarray: The loaded NumPy array. | |
""" | |
return np.load(file, **kwargs) | |
def load_from_path(self, filepath: str, **kwargs) -> Any: | |
""" | |
Load a NumPy array from a file path. | |
Parameters: | |
filepath (str): The path to the file to load. | |
**kwargs: Additional keyword arguments passed to `np.load`. | |
Returns: | |
numpy.ndarray: The loaded NumPy array. | |
""" | |
return super().load_from_path(filepath, mode="rb", **kwargs) | |
def dump_to_str(self, obj: np.ndarray, **kwargs) -> str: | |
""" | |
Serialize a NumPy array to a string in binary format. | |
Parameters: | |
obj (np.ndarray): The NumPy array to serialize. | |
**kwargs: Additional keyword arguments passed to `np.save`. | |
Returns: | |
str: The serialized NumPy array as a string. | |
""" | |
with BytesIO() as f: | |
np.save(f, obj, **kwargs) | |
return f.getvalue() | |
def dump_to_fileobj(self, obj: np.ndarray, file: IO[bytes], **kwargs): | |
""" | |
Dump a NumPy array to a file-like object. | |
Parameters: | |
obj (np.ndarray): The NumPy array to dump. | |
file (IO[bytes]): The file-like object to which the array is dumped. | |
**kwargs: Additional keyword arguments passed to `np.save`. | |
""" | |
np.save(file, obj, **kwargs) | |
def dump_to_path(self, obj: np.ndarray, filepath: str, **kwargs): | |
""" | |
Dump a NumPy array to a file path. | |
Parameters: | |
obj (np.ndarray): The NumPy array to dump. | |
filepath (str): The file path where the array should be saved. | |
**kwargs: Additional keyword arguments passed to `np.save`. | |
""" | |
with open(filepath, "wb") as f: | |
np.save(f, obj, **kwargs) | |