#
# GAMS - General Algebraic Modeling System Python API
#
# Copyright (c) 2017-2024 GAMS Development Corp. <support@gams.com>
# Copyright (c) 2017-2024 GAMS Software GmbH <support@gams.com>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
#
import pandas as pd
from gams.core import gdx
from gams.transfer._abcs import (
ABCSet,
ABCAlias,
ABCUniverseAlias,
ABCContainer,
)
from gams.transfer.syms._mixins import SAMixin, SAPVEMixin, SAUAMixin, SAUAPVEMixin
from typing import TYPE_CHECKING, Union, Optional, List, Any
if TYPE_CHECKING:
from gams.transfer import Container
from gams.transfer import Set
from gams.transfer._internals import DomainViolation
class Alias(SAMixin, SAPVEMixin, SAUAMixin, SAUAPVEMixin, ABCAlias):
"""
Represents an Alias symbol in GAMS.
https://www.gams.com/latest/docs/UG_SetDefinition.html#UG_SetDefinition_TheAliasStatementMultipleNamesForASet
Parameters
----------
container : Container
The container to which the alias belongs.
name : str
Name of the alias.
alias_with : Set
The set with which the alias will share its data.
Examples
--------
>>> import gams.transfer as gt
>>> m = gt.Container()
>>> i = gt.Set(m, "i")
>>> j = gt.Alias(m, "j", i)
Attributes
----------
alias_with : Set Object
Aliased object
container : Container object
Container where the symbol exists
description : str
description of symbol
dimension : int
The dimension of symbol
domain : List[Set | Alias | str]
List of domains given either as string (* for universe set) or as reference to the Set/Alias object
domain_labels : List[str]
The column headings for the records DataFrame
domain_names : List[str]
String version of domain names
domain_type : str
The state of domain links
is_singleton : bool
Flag that identifies if the the alias is singleton
modified : bool
Flag that identifies if the symbol has been modified
name : str
Name of the symbol
number_records : int
The number of symbol records
records : DataFrame
The main symbol records
summary : dict
A dict of only the metadata
"""
@classmethod
def _from_gams(cls, container, name, alias_with):
# create new symbol object
obj = Alias.__new__(cls)
# set private properties directly
obj._requires_state_check = False
obj._container = container
container._requires_state_check = True
obj._name = name
obj._alias_with = alias_with
obj._modified = True
# typing
obj._gams_type = gdx.GMS_DT_ALIAS
obj._gams_subtype = 1
# add to container
container.data.update({name: obj})
return obj
def __new__(cls, *args, **kwargs):
if len(args) == 0:
return object.__new__(Alias)
try:
symobj = args[0][args[1]]
except:
symobj = None
if symobj is None:
return object.__new__(Alias)
else:
if isinstance(symobj, ABCAlias):
return symobj
else:
raise TypeError(
f"Cannot overwrite symbol `{symobj.name}` in container because it is not an Alias object)"
)
def __init__(self, container: "Container", name: str, alias_with: "Set") -> None:
# does symbol exist
has_symbol = False
if isinstance(getattr(self, "container", None), ABCContainer):
has_symbol = True
if has_symbol:
# reset some properties
self._requires_state_check = True
self.container._requires_state_check = True
self.modified = True
self.alias_with = alias_with
else:
# populate new symbol properties
self._requires_state_check = True
self.container = container
self.name = name
self.modified = True
self.alias_with = alias_with
self._gams_type = gdx.GMS_DT_ALIAS
self._gams_subtype = 1
container.data.update({name: self})
def __repr__(self):
return f"<Alias `{self.name}` ({hex(id(self))})>"
def __delitem__(self):
# TODO: add in some functionality that might relax the symbols down to a different domain
# This function would mimic the <Container>.removeSymbols() method -- is more pythonic
del self.container.data[self.name]
[docs] def equals(
self,
other: Union["Set", "Alias"],
check_uels: bool = True,
check_element_text: bool = True,
check_meta_data: bool = True,
verbose: bool = False,
) -> bool:
"""
Used to compare the symbol to another symbol.
Parameters
----------
other : Set or Alias
The other symbol (Set or Alias) to compare with the current alias.
check_uels : bool, optional
If True, check both used and unused UELs and confirm same order, otherwise only check used UELs in data and do not check UEL order.
check_element_text : bool, optional
If True, check that all set elements have the same descriptive element text, otherwise skip.
check_meta_data : bool, optional
If True, check that symbol name and description are the same, otherwise skip.
verbose : bool, optional
If True, return an exception from the asserter describing the nature of the difference.
Returns
-------
bool
True if the two symbols are equal in the specified aspects; False if they are not equal and verbose is False.
Examples
--------
>>> m = gt.Container()
>>> i = gt.Set(m, "i")
>>> j = gt.Alias(m, "j", i)
>>> print(i.equals(j)) # Compare the Set 'i' with the Alias 'j'
True
"""
return self.alias_with.equals(
other,
check_uels=check_uels,
check_element_text=check_element_text,
check_meta_data=check_meta_data,
verbose=verbose,
)
[docs] def toList(self, include_element_text: bool = False) -> list:
"""
Convenience method to return symbol records as a python list
Parameters
----------
include_element_text : bool, optional
If True, include the element text as tuples (record, element text).
If False, return a list of records only.
Returns
-------
list
A list containing the records of the symbol.
Examples
--------
>>> m = gt.Container()
>>> i = gt.Set(m, "i", records=["new-york", "chicago", "topeka"])
>>> j = gt.Alias(m, "j", i)
>>> print(j.toList())
['new-york', 'chicago', 'topeka']
"""
return self.alias_with.toList(include_element_text=include_element_text)
[docs] def pivot(
self,
index: Optional[Union[List[str], str]] = None,
columns: Optional[Union[List[str], str]] = None,
fill_value: Optional[Union[int, float]] = None,
) -> pd.DataFrame:
"""
Convenience function to pivot records into a new shape (only symbols with > 1D can be pivoted).
Parameters
----------
index : List[str] | str, optional
If index is None then it is set to dimensions [0..dimension-1]
columns : List[str] | str, optional
If columns is None then it is set to the last dimension.
fill_value : int | float, optional
Missing values in the pivot will take the value provided by fill_value
Returns
-------
DataFrame
A new DataFrame containing the pivoted data.
Examples
--------
>>> m = gt.Container()
>>> i = gt.Set(m, "i", records=["seattle", "san-diego"])
>>> j = gt.Set(m, "j", records=["new-york", "chicago", "topeka"])
>>> ij = gt.Set(m, "ij", [i,j], records=[("seattle", "chicago"), ("seattle", "topeka"), ("san-diego", "new-york")])
>>> routes = gt.Alias(m, name="routes", alias_with=ij)
>>> print(routes.pivot(fill_value=""))
chicago topeka new-york
seattle True True
san-diego True
"""
return self.alias_with.pivot(
index=index, columns=columns, fill_value=fill_value
)
[docs] def getSparsity(self) -> Union[float, None]:
"""
Gets the sparsity of the symbol w.r.t the cardinality
Returns
-------
float | None
Sparsity of an alias
"""
return self.alias_with.getSparsity()
@property
def is_singleton(self) -> bool:
"""
if symbol is a singleton set
Returns
-------
bool
True if the alias is singleton; False otherwise
"""
return self.alias_with.is_singleton
@is_singleton.setter
def is_singleton(self, is_singleton: bool) -> None:
self.alias_with.is_singleton = is_singleton
self.modified = True
[docs] def getDomainViolations(self) -> Union[List["DomainViolation"], None]:
"""
Returns a list of DomainViolation objects if any (None otherwise)
Returns
-------
List[DomainViolation] | None
A list of DomainViolation objects if any (None otherwise)
"""
return self.alias_with.getDomainViolations()
[docs] def findDomainViolations(self) -> pd.DataFrame:
"""
Get a view of the records DataFrame that contain any domain violations
Returns
-------
DataFrame
A DataFrame containing the records that contain any domain violations.
If there are no violations, an empty DataFrame is returned.
"""
return self.alias_with.findDomainViolations()
[docs] def hasDomainViolations(self) -> bool:
"""
Returns True if there are domain violations in the records of the parent set, returns False if not.
Returns
-------
bool
True if there are domain violations in the records of the parent set; False otherwise
"""
return self.alias_with.hasDomainViolations()
[docs] def countDomainViolations(self) -> int:
"""
Returns the count of how many records in the parent set contain at least one domain violation
Returns
-------
int
The count of how many records in the parent set contain at least one domain violation
"""
return self.alias_with.countDomainViolations()
[docs] def dropDomainViolations(self) -> None:
"""
Drop records from the parent set that contain a domain violation
"""
return self.alias_with.dropDomainViolations()
[docs] def countDuplicateRecords(self) -> int:
"""
Returns the count of how many (case insensitive) duplicate records exist in the parent set
Returns
-------
int
The count of how many (case insensitive) duplicate records exist in the parent set
"""
return self.alias_with.countDuplicateRecords()
[docs] def findDuplicateRecords(self, keep: Union[str, bool] = "first") -> pd.DataFrame:
"""
Get a view of the records DataFrame that contain any domain violations.
Parameters
----------
keep : str, optional
Specifies how to handle duplicates. Options are:
- 'first' (default): Keeps the first occurrence and removes subsequent duplicates.
- 'last': Keeps the last occurrence and removes previous duplicates.
- False: Keeps all duplicates.
Returns
-------
DataFrame
A DataFrame of the records that contain any domain violations.
If there are no duplicates, an empty DataFrame is returned.
"""
return self.alias_with.findDuplicateRecords(keep=keep)
[docs] def hasDuplicateRecords(self) -> bool:
"""
Returns True if there are (case insensitive) duplicate records in the parent set, returns False if not.
Returns
-------
bool
True if there are (case insensitive) duplicate records in the parent set; False otherwise
"""
return self.alias_with.hasDuplicateRecords()
[docs] def dropDuplicateRecords(self, keep: Union[str, bool] = "first") -> None:
"""
Drop records with (case insensitive) duplicate domains from the parent set
Parameters
----------
keep : str, optional
Specifies how to handle duplicates. Options are:
- 'first' (default): keeps the first instance of a duplicate record
- 'last': keeps the last instance of a record
- False: drops all duplicates including the first and last
"""
return self.alias_with.dropDuplicateRecords(keep=keep)
def _getUELCodes(self, dimension, ignore_unused=False):
return self.alias_with._getUELCodes(dimension, ignore_unused=ignore_unused)
[docs] def getUELs(
self,
dimensions: Optional[Union[List[int], int]] = None,
codes: Optional[Union[List[int], int]] = None,
ignore_unused: bool = False,
) -> List[str]:
"""
Gets UELs from the parent set dimensions. If dimensions is None then get UELs from all dimensions (maintains order).
The argument codes accepts a list of str UELs and will return the corresponding int; must specify a single dimension if passing codes.
Parameters
----------
dimensions : List[int] | int, optional
codes : List[int] | int, optional
ignore_unused : bool, optional
Returns
-------
List[str]
Returns only UELs in the data if ignore_unused=True, otherwise return all UELs.
"""
return self.alias_with.getUELs(
dimensions=dimensions, codes=codes, ignore_unused=ignore_unused
)
[docs] def lowerUELs(self, dimensions: Optional[Union[List[int], int]] = None) -> "Alias":
"""
Lowercase the UELs of an Alias.
Parameters
----------
dimensions : List[int] | int, optional
Dimensions of the Alias to be processed. You can provide a single dimension as an int
or a list of dimensions. If not specified, it will process all dimensions.
Returns
-------
Alias
The Alias with lowercase UELs.
"""
self.alias_with.lowerUELs(dimensions=dimensions)
return self
[docs] def upperUELs(self, dimensions: Optional[Union[List[int], int]] = None) -> "Alias":
"""
Uppercase the UELs of an Alias.
Parameters
----------
dimensions : List[int] | int, optional
Dimensions of the Alias to be processed. You can provide a single dimension as an int
or a list of dimensions. If not specified, it will process all dimensions.
Returns
-------
Alias
The Alias with uppercase UELs.
"""
self.alias_with.upperUELs(dimensions=dimensions)
return self
[docs] def lstripUELs(self, dimensions: Optional[Union[List[int], int]] = None) -> "Alias":
"""
Remove leading whitespaces from the UELs of an Alias.
Parameters
----------
dimensions : List[int] | int, optional
Dimensions of the Alias to be processed. You can provide a single dimension as an int
or a list of dimensions. If not specified, it will process all dimensions.
Returns
-------
Alias
The Alias with processed UELs.
"""
self.alias_with.lstripUELs(dimensions=dimensions)
return self
[docs] def rstripUELs(self, dimensions: Optional[Union[List[int], int]] = None) -> "Alias":
"""
Remove trailing whitespaces from the UELs of an Alias.
Parameters
----------
dimensions : List[int] | int, optional
Dimensions of the Alias to be processed. You can provide a single dimension as an int
or a list of dimensions. If not specified, it will process all dimensions.
Returns
-------
Alias
The Alias with processed UELs.
"""
self.alias_with.rstripUELs(dimensions=dimensions)
return self
[docs] def stripUELs(self, dimensions: Optional[Union[List[int], int]] = None) -> "Alias":
"""
Remove leading and trailing whitespaces from the UELs of an Alias.
Parameters
----------
dimensions : List[int] | int, optional
Dimensions of the Alias to be processed. You can provide a single dimension as an int
or a list of dimensions. If not specified, it will process all dimensions.
Returns
-------
Alias
The Alias with processed UELs.
"""
self.alias_with.stripUELs(dimensions=dimensions)
return self
[docs] def capitalizeUELs(
self, dimensions: Optional[Union[List[int], int]] = None
) -> "Alias":
"""
Capitalizes the first character of UELs of an Alias
Parameters
----------
dimensions : List[int] | int, optional
Dimensions of the Alias to be processed. You can provide a single dimension as an int
or a list of dimensions. If not specified, it will process all dimensions.
Returns
-------
Alias
The Alias with processed UELs.
"""
self.alias_with.capitalizeUELs(dimensions=dimensions)
return self
[docs] def casefoldUELs(self, dimensions: Optional[Union[List[int], int]] = None) -> "Alias":
"""
Casefolds the UELs of an Alias
Parameters
----------
dimensions : List[int] | int, optional
Dimensions of the Alias to be processed. You can provide a single dimension as an int
or a list of dimensions. If not specified, it will process all dimensions.
Returns
-------
Alias
The Alias with processed UELs.
"""
self.alias_with.casefoldUELs(dimensions=dimensions)
return self
[docs] def titleUELs(self, dimensions: Optional[Union[List[int], int]] = None) -> "Alias":
"""
Converts the UELs of an Alias to title style; new-york -> New-York
Parameters
----------
dimensions : List[int] | int, optional
Dimensions of the Alias to be processed. You can provide a single dimension as an int
or a list of dimensions. If not specified, it will process all dimensions.
Returns
-------
Alias
The Alias with processed UELs.
"""
self.alias_with.titleUELs(dimensions=dimensions)
return self
[docs] def ljustUELs(
self,
length: int,
fill_character: Optional[str] = None,
dimensions: Optional[Union[List[int], int]] = None,
) -> "Alias":
"""
Left-justifies the UELs of an Alias, padding them with a specified fill character to reach the desired length.
Parameters
----------
length : int
The target length to which UELs will be left-justified.
fill_character : str, optional
The character used for padding the UELs to the specified length. If not provided, it defaults to a whitespace.
dimensions : List[int] | int, optional
Dimensions of the Alias to be processed. You can provide a single dimension as an int
or a list of dimensions. If not specified, it will process all dimensions.
Returns
-------
Alias
The Alias with processed UELs.
"""
self.alias_with.ljustUELs(
length, fill_character=fill_character, dimensions=dimensions
)
return self
[docs] def rjustUELs(
self,
length: int,
fill_character: Optional[str] = None,
dimensions: Optional[Union[List[int], int]] = None,
) -> "Alias":
"""
Left-justifies the UELs of an Alias, padding them with a specified fill character to reach the desired length.
Parameters
----------
length : int
The target length to which UELs will be left-justified.
fill_character : str, optional
The character used for padding the UELs to the specified length. If not provided, it defaults to a whitespace.
dimensions : List[int] | int, optional
Dimensions of the Alias to be processed. You can provide a single dimension as an int
or a list of dimensions. If not specified, it will process all dimensions.
Returns
-------
Alias
The Alias with processed UELs.
"""
self.alias_with.rjustUELs(
length, fill_character=fill_character, dimensions=dimensions
)
return self
[docs] def setUELs(
self,
uels: Union[List[str], str],
dimensions: Optional[Union[List[int], int]] = None,
rename: bool = False,
) -> None:
"""
Set the UELs for parent set dimensions. If dimensions is None then set UELs for all dimensions.
If rename=True, then the old UEL names will be renamed with the new UEL names. ** All trailing whitespace is trimmed **
Parameters
----------
uels : List[str] | str
UELs to be set
dimensions : List[int] | int, optional
Dimensions of the Alias to be processed. You can provide a single dimension as an int
or a list of dimensions. If not specified, it will process all dimensions.
rename : bool, optional
If True, then the old UEL names will be renamed with the new UEL names. By default False
"""
return self.alias_with.setUELs(uels=uels, dimensions=dimensions, rename=rename)
[docs] def reorderUELs(
self,
uels: Optional[Union[List[str], str]] = None,
dimensions: Optional[Union[List[int], int]] = None,
) -> None:
"""
Reorders the UELs in the parent set dimensions. If uels is None, reorder UELs to data order and append any unused categories.
If dimensions is None then reorder UELs in all dimensions of the parent set.
Parameters
----------
uels : List[str] | str, optional
dimensions : List[int] | int, optional
Dimensions of the Alias to be processed. You can provide a single dimension as an int
or a list of dimensions. If not specified, it will process all dimensions.
"""
return self.alias_with.reorderUELs(uels=uels, dimensions=dimensions)
[docs] def addUELs(
self,
uels: Union[List[str], str],
dimensions: Optional[Union[List[int], int]] = None,
) -> None:
"""
Adds UELs to the parent set dimensions. If dimensions is None then add UELs to all dimensions. ** All trailing whitespace is trimmed **
Parameters
----------
uels : List[str] | str
UELs to be added
dimensions : List[int] | int, optional
Dimensions of the Alias to be processed. You can provide a single dimension as an int
or a list of dimensions. If not specified, it will process all dimensions.
"""
return self.alias_with.addUELs(uels=uels, dimensions=dimensions)
[docs] def removeUELs(
self,
uels: Optional[Union[List[str], str]] = None,
dimensions: Optional[Union[List[int], int]] = None,
) -> None:
"""
Removes UELs that appear in the parent set dimensions, If uels is None then remove all unused UELs (categories). If dimensions is None then operate on all dimensions.
Parameters
----------
uels : List[str] | str, optional
UELs to be removed
dimensions : List[int] | int, optional
Dimensions of the Alias to be processed. You can provide a single dimension as an int
or a list of dimensions. If not specified, it will process all dimensions.
"""
return self.alias_with.removeUELs(uels=uels, dimensions=dimensions)
[docs] def renameUELs(
self,
uels: Union[List[str], str],
dimensions: Optional[Union[List[int], int]] = None,
allow_merge: bool = False,
) -> None:
"""
Renames UELs (case-sensitive) that appear in the parent set dimensions. If dimensions is None then operate on all dimensions of the symbol.
If allow_merge=True, the categorical object will be re-created to offer additional data flexibility. ** All trailing whitespace is trimmed **
Parameters
----------
uels : List[str] | str
UELs to be renamed
dimensions : List[int] | int, optional
Dimensions of the Alias to be processed. You can provide a single dimension as an int
or a list of dimensions. If not specified, it will process all dimensions.
allow_merge : bool
If True, the categorical object will be re-created to offer additional data flexibility
"""
return self.alias_with.renameUELs(
uels=uels, dimensions=dimensions, allow_merge=allow_merge
)
def _assert_valid_records(self):
self.alias_with._assert_valid_records()
def _assert_is_valid(self):
if self._requires_state_check:
if self.container is None:
raise Exception(
"Symbol is not currently linked to a container, "
"must add it to a container in order to be valid"
)
if self.alias_with is None:
raise Exception(
"Alias symbol is not valid because it is not currently linked to a parent set"
)
if not self.alias_with.isValid():
raise Exception(
"Alias symbol is not valid because parent "
f"set '{self.alias_with.name}' is not valid"
)
# if no exceptions, then turn self._requires_state_check 'off'
self._requires_state_check = False
@property
def alias_with(self) -> "Set":
"""
Returns the aliased object
Returns
-------
Set
The aliased Set
"""
return self._alias_with
@alias_with.setter
def alias_with(self, alias_with):
if isinstance(alias_with, ABCUniverseAlias):
raise TypeError(
"Cannot create an Alias to a UniverseAlias, create a new UniverseAlias symbol instead."
)
if not isinstance(alias_with, (ABCSet, ABCAlias)):
raise TypeError("Symbol 'alias_with' must be type Set or Alias")
if isinstance(alias_with, ABCAlias):
parent = alias_with
while not isinstance(parent, ABCSet):
parent = parent.alias_with
alias_with = parent
# check to see if _alias_with is being changed
if getattr(self, "_alias_with", None) != alias_with:
self._requires_state_check = True
self._alias_with = alias_with
self.modified = True
if isinstance(self.container, ABCContainer):
self.container._requires_state_check = True
self.container.modified = True
@property
def domain_names(self) -> List[str]:
"""
Returns the string version of domain names
Returns
-------
List[str]
A list of string version of domain names
"""
return self.alias_with.domain_names
@property
def domain(self) -> List[Union["Set", str]]:
"""
Returns list of domains given either as string (* for universe set) or as reference to the Set/Alias object
Returns
-------
List[Set | str]
A list of domains given either as string (* for universe set) or as reference to the Set/Alias object
"""
return self.alias_with.domain
@domain.setter
def domain(self, domain):
self.alias_with.domain = domain
self.modified = True
self.container.modified = True
@property
def domain_type(self) -> Union[str, None]:
"""
Returns the state of domain links
Returns
-------
str
none, relaxed or regular
"""
return self.alias_with.domain_type
@property
def description(self) -> str:
"""
Returns description of symbol
Returns
-------
str
Description of symbol
"""
return self.alias_with.description
@description.setter
def description(self, description):
self.alias_with.description = description
self.modified = True
self.container.modified = True
@property
def dimension(self) -> int:
"""
Returns the dimension of symbol
Returns
-------
int
Dimension of symbol
"""
return self.alias_with.dimension
@dimension.setter
def dimension(self, dimension):
self.alias_with.dimension = dimension
self.modified = True
self.container.modified = True
@property
def records(self) -> Union[pd.DataFrame, None]:
"""
Returns the main symbol records
Returns
-------
DataFrame | None
The main symbol records, None if no records were set
"""
return self.alias_with.records
@records.setter
def records(self, records):
self.alias_with.records = records
self.modified = True
self.container.modified = True
def setRecords(self, records: Any, uels_on_axes: bool = False) -> None:
"""
main convenience method to set standard pandas.DataFrame formatted records.
If uels_on_axes=True setRecords will assume that all domain information is contained in the axes of the pandas object – data will be flattened (if necessary).
Parameters
----------
records : Any
uels_on_axes : bool, optional
"""
self.alias_with.setRecords(records, uels_on_axes=uels_on_axes)
@property
def number_records(self) -> int:
"""
Returns the number of symbol records
Returns
-------
int
Number of symbol records
"""
return self.alias_with.number_records
@property
def domain_labels(self) -> Union[List[str], None]:
"""
Returns the column headings for the records DataFrame
Returns
-------
Union[List[str], None]
Column headings for the records DataFrame
"""
return self.alias_with.domain_labels
@domain_labels.setter
def domain_labels(self, labels):
self.alias_with.domain_labels = labels
@property
def summary(self) -> dict:
"""
Returns a dict of only the metadata
Returns
-------
dict
Outputs a dict of only the metadata
"""
return {
"name": self.name,
"description": self.description,
"alias_with": self.alias_with.name,
"is_singleton": self.is_singleton,
"domain": self.domain_names,
"domain_type": self.domain_type,
"dimension": self.dimension,
"number_records": self.number_records,
}
