124 lines
3.7 KiB
Python
124 lines
3.7 KiB
Python
import base64
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import copy
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import logging
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import operator
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import time
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from collections import abc
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from contextlib import contextmanager
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from functools import reduce
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from uuid import UUID
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import numpy as np
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class Timer(object):
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def __init__(self, name):
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self.name = name
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self.start = None
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self.end = None
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def __enter__(self):
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self.start = time.time()
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def __exit__(self, type_, value, traceback):
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self.end = time.time()
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logging.debug("%s time: %s", self.name, self.end - self.start)
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def deserialise_array_b64(b64_string, dtype, shape):
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flat_arr = np.frombuffer(base64.b64decode(b64_string), dtype)
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return flat_arr.reshape(shape)
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def serialise_array_b64(npy_arr):
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b64_string = base64.b64encode(npy_arr).decode("ascii")
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dtype = str(npy_arr.dtype)
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shape = npy_arr.shape
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return b64_string, dtype, shape
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def ndarray_to_json(arr: np.ndarray):
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if isinstance(arr, memoryview):
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# We can transparently convert memoryview objects to arrays
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# This comes in very handy for the lens shading table.
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arr = np.array(arr)
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b64_string, dtype, shape = serialise_array_b64(arr)
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return {"@type": "ndarray", "dtype": dtype, "shape": shape, "base64": b64_string}
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def json_to_ndarray(json_dict: dict):
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if not json_dict.get("@type") != "ndarray":
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logging.warning("No valid @type attribute found. Conversion may fail.")
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for required_param in ("dtype", "shape", "base64"):
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if not json_dict.get(required_param):
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raise KeyError(f"Missing required key {required_param}")
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return deserialise_array_b64(
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json_dict.get("base64"), json_dict.get("dtype"), json_dict.get("shape")
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)
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@contextmanager
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def set_properties(obj, **kwargs):
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"""A context manager to set, then reset, certain properties of an object.
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The first argument is the object, subsequent keyword arguments are properties
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of said object, which are set initially, then reset to their previous values.
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"""
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saved_properties = {}
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for k in kwargs.keys():
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try:
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saved_properties[k] = getattr(obj, k)
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except AttributeError:
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print(
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"Warning: could not get {} on {}. This property will not be restored!".format(
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k, obj
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)
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)
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for k, v in kwargs.items():
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setattr(obj, k, v)
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try:
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yield
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finally:
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for k, v in saved_properties.items():
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setattr(obj, k, v)
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def axes_to_array(
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coordinate_dictionary, axis_keys=("x", "y", "z"), base_array=None, asint=True
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):
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"""Takes key-value pairs of a JSON value, and maps onto an array"""
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# If no base array is given
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if not base_array:
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# Create an array of zeros
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base_array = [0] * len(axis_keys)
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else:
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# Create a copy of the passed base_array
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base_array = copy.copy(base_array)
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# Do the mapping
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for axis, key in enumerate(axis_keys):
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if key in coordinate_dictionary:
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base_array[axis] = (
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int(coordinate_dictionary[key]) if asint else coordinate_dictionary[key]
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)
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return base_array
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def entry_by_uuid(entry_id: str, object_list: list):
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"""Return an object from a list, if <object>.id matches id argument."""
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found = None
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if type(entry_id) == str:
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converter = str
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elif type(entry_id) == int:
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converter = int
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elif isinstance(entry_id, UUID):
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converter = int
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else:
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raise TypeError("Argument entry_id must be a string, integer, or UUID object.")
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for o in object_list:
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# Convert to strings (in case of UUID objects, for example)
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if converter(o.id) == converter(entry_id):
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found = o
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return found
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