# Copyright (c) 2022, NVIDIA CORPORATION. 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
from typing import List, Optional
import numpy as np
from nvflare.app_common.abstract.statistics_spec import Bin, BinRange, DataType
[docs]class NpEncoder(json.JSONEncoder):
[docs] def default(self, obj):
if isinstance(obj, np.integer):
return int(obj)
if isinstance(obj, np.floating):
return float(obj)
if isinstance(obj, np.ndarray):
return obj.tolist()
return super(NpEncoder, self).default(obj)
[docs]def dtype_to_data_type(dtype) -> DataType:
if dtype.char in np.typecodes["AllFloat"]:
return DataType.FLOAT
elif dtype.char in np.typecodes["AllInteger"] or dtype == bool:
return DataType.INT
elif np.issubdtype(dtype, np.datetime64) or np.issubdtype(dtype, np.timedelta64):
return DataType.DATETIME
else:
return DataType.STRING
[docs]def get_std_histogram_buckets(nums: np.ndarray, num_bins: int = 10, br: Optional[BinRange] = None):
num_posinf = len(nums[np.isposinf(nums)])
num_neginf = len(nums[np.isneginf(nums)])
if br:
counts, buckets = np.histogram(nums, bins=num_bins, range=(br.min_value, br.max_value))
else:
counts, buckets = np.histogram(nums, bins=num_bins)
histogram_buckets: List[Bin] = []
for bucket_count in range(len(counts)):
# Add any negative or positive infinities to the first and last
# buckets in the histogram.
bucket_low_value = buckets[bucket_count]
bucket_high_value = buckets[bucket_count + 1]
bucket_sample_count = counts[bucket_count]
if bucket_count == 0 and num_neginf > 0:
bucket_low_value = float("-inf")
bucket_sample_count += num_neginf
elif bucket_count == len(counts) - 1 and num_posinf > 0:
bucket_high_value = float("inf")
bucket_sample_count += num_posinf
histogram_buckets.append(
Bin(low_value=bucket_low_value, high_value=bucket_high_value, sample_count=bucket_sample_count)
)
if buckets is not None and len(buckets) > 0:
bucket = None
if num_neginf:
bucket = Bin(low_value=float("-inf"), high_value=float("-inf"), sample_count=num_neginf)
if num_posinf:
bucket = Bin(low_value=float("inf"), high_value=float("inf"), sample_count=num_posinf)
if bucket:
histogram_buckets.append(bucket)
return histogram_buckets