import string
from enum import StrEnum
# Misc
# -----------------------------------------------------------------------------
# DP constants (max budget per user per dataset)
EPSILON_LIMIT: float = 10.0
DELTA_LIMIT: float = 0.01
# Dummy dataset generation
RANDOM_STRINGS = list(string.ascii_lowercase + string.ascii_uppercase + string.digits)
# Data preprocessing
NUMERICAL_DTYPES = ["int16", "int32", "int64", "float16", "float32", "float64"]
[docs]
class KCAttributeNames(StrEnum):
"""Keycloak attribute names, also used as claim names in JWT token."""
USER_NAME = "user_name"
USER_EMAIL = "user_email"
LOMAS_USER_CLIENT = "lomas_user_client"
# DP Libraries
# -----------------------------------------------------------------------------
# Smartnoise sql
SSQL_STATS = ["count", "sum_int", "sum_large_int", "sum_float", "threshold"]
SSQL_MAX_ITERATION = 5
# Smartnoise synth
[docs]
class SSynthTableTransStyle(StrEnum):
"""Transformer style for smartnoise synth."""
GAN = "gan" # for SSynthGanSynthesizer
CUBE = "cube" # for SSynthMarginalSynthesizer
[docs]
class SSynthColumnType(StrEnum):
"""Type of columns for SmartnoiseSynth transformer pre-processing."""
PRIVATE_ID = "private_id"
CATEGORICAL = "categorical"
CONTINUOUS = "continuous"
DATETIME = "datetime"
SSYNTH_PRIVATE_COLUMN = "uuid4"
SSYNTH_DEFAULT_BINS = 10
SSYNTH_MIN_ROWS_PATE_GAN = 1000
# OpenDP
[docs]
class OpenDPMeasurement(StrEnum):
"""Type of divergence for opendp measurement.
see https://docs.opendp.org/en/stable/api/python/opendp.measurements.html
"""
FIXED_SMOOTHED_MAX_DIVERGENCE = "fixed_smoothed_max_divergence"
MAX_DIVERGENCE = "max_divergence"
SMOOTHED_MAX_DIVERGENCE = "smoothed_max_divergence"
ZERO_CONCENTRATED_DIVERGENCE = "zero_concentrated_divergence"