def UseArchive(self, min=None, max=None):
from klepto.archives import dict_archive as d
if type(min) is bool: self._minarch = d(cached=False) if min else None
elif min is not None: self._minarch = min
if type(max) is bool: self._maxarch = d(cached=False) if max else None
elif max is not None: self._maxarch = max
return
def UseArchive(self, min=None, max=None):
from klepto.archives import dict_archive as d
if type(min) is bool: self._minarch = d(cached=False) if min else None
elif min is not None: self._minarch = min
if type(max) is bool: self._maxarch = d(cached=False) if max else None
elif max is not None: self._maxarch = max
return
def UseArchive(self, min=None, max=None):
"""track sampled points in an archive(s)
Input:
min: archive instance to store minima; if True, use a new archive
max: archive instance to store maxima; if True, use a new archive
Output:
None
"""
from klepto.archives import dict_archive as d
if type(min) is bool: self._minarch = d(cached=False) if min else None
elif min is not None: self._minarch = min
if type(max) is bool: self._maxarch = d(cached=False) if max else None
elif max is not None: self._maxarch = max
return
def UseArchive(self, min=None, max=None):
"""track sampled points in an archive(s)
Input:
min: archive instance to store minima; if True, use a new archive
max: archive instance to store maxima; if True, use a new archive
Output:
None
"""
from klepto.archives import dict_archive as d
if type(min) is bool: self._minarch = d(cached=False) if min else None
elif min is not None: self._minarch = min
if type(max) is bool: self._maxarch = d(cached=False) if max else None
elif max is not None: self._maxarch = max
return