| from pathlib import Path | |
| from pydub import AudioSegment | |
| import numpy as np | |
| import scipy.io.wavfile as wav | |
| # Create output directory | |
| output_dir = Path("audio_test_files") | |
| output_dir.mkdir(exist_ok=True) | |
| # Define output filenames with realistic names |
| def stub_ome_dataset(file_path, num_timepoints=3, output_dir=None): | |
| """ | |
| Create a stubbed version of an OME-TIFF dataset based on a file path. | |
| Parameters: | |
| ----------- | |
| file_path : str or Path | |
| Path to any TIFF file in the dataset | |
| num_timepoints : int, optional | |
| Number of timepoints to keep in the stub, default is 3 |
| from pathlib import Path | |
| import numpy as np | |
| import shutil | |
| from typing import Union, Optional, Tuple | |
| def get_memmap_shape(filename: Union[str, Path], | |
| dtype: Union[str, np.dtype], | |
| num_channels: Optional[int] = None, | |
| offset: int = 0) -> Tuple[int, ...]: | |
| """Calculate the shape of a memory-mapped binary file. |
| from hdmf.data_utils import AbstractDataChunkIterator, DataChunk | |
| import numpy as np | |
| from PIL import Image | |
| from pathlib import Path | |
| from hdmf.backends.hdf5.h5_utils import H5DataIO | |
| def generate_random_images(num_images, width=256, height=256, mode='RGB', seed=None, | |
| output_dir="generated_images", format='PNG'): | |
| """ |
I have been using Ubuntu for last few years. Now I have to work on Mac OS for work. But I still use personal laptop which has Ubuntu. So I decided to setup the Mac OS shortcuts to be exactly same as in Ubuntu.
| import matplotlib.pyplot as plt | |
| from spikeinterface.core import generate_sorting | |
| # Generate sorting data | |
| total_duration = 40.0 | |
| sorting = generate_sorting(num_units=50, durations=[total_duration]) | |
| unit_ids = sorting.get_unit_ids() | |
| spike_times_pero_unit = {uid: sorting.get_unit_spike_train(uid, return_times=True) for uid in unit_ids} |
def close(self):
""" Close the file. All open objects become invalid """
with phil:
# Check that the file is still open, otherwise skip
if self.id.valid:
# We have to explicitly murder all open objects related to the file
# Close file-resident objects first, then the files.
# Otherwise we get errors in MPI mode.
| import subprocess | |
| from pathlib import Path | |
| import argparse | |
| def run_profile_generate(file_path: Path, tag: str = "", verbose: bool = True, notemporal: bool = False): | |
| program_folder = file_path.parent | |
| program_name = file_path.stem | |
| bin_file_name = f"memray_{program_name}.bin" |