Absence and where#

A where: does not set a variable to zero. It leaves the variable unbuilt at the masked coordinates: no column, and no value.

dimensions:
  g: { dtype: str }
parameters:
  capacity: { dims: [g] }
variables:
  dispatch:
    dims: [g]
    where: "capacity > 0"

With capacity = {wind: 10, gas: 5, old: 0}, the model has dispatch[wind] and dispatch[gas], but no dispatch[old].

The where grammar says what a where: may hold.

What creates absence#

Nothing else creates absence. A missing row is the only gap a parameter can have, because a null or NaN value is refused when the data is attached. The parameter's missing: key says what a missing row is:

A value is the same number at every position, so the file says what a missing row is: missing: 0 for a cost that is zero, missing: 1 for an efficiency that is one, and missing: false for a flag that is off. The table below says what a missing row does at each position:

A value of 0 as an amount reads shift(x, along=t, offset=0) as x itself, and sums nothing under sum_back(x, along=t, window=0). A curve needs a row at each breakpoint its points: admits, and missing breakpoints says what a missing row of a table that a curve reads means. For a bound only where the data has one, mask the variable, or declare the parameter missing: absent or missing: .inf.

How absence travels#

An absent term in arithmetic removes the whole row. An absent term inside a summing operator is only one summand fewer, so the row stays.

variables:
  x: { dims: [g] }
  y: { dims: [g], where: "capacity > 0" } # no y[old]
constraints:
  each:
    dims: [g]
    expression: x + y >= 1 # rows at wind and gas; no row at old
  total:
    dims: []
    expression: sum(x + y, over=g) >= 1 # x[wind] + y[wind] + x[gas] + y[gas] >= 1
  split:
    dims: []
    expression: sum(x, over=g) + sum(y, over=g) >= 1 # x[old] is back in

total sums the summand wherever the summand exists, but split sums each operand over its own domain, so the two are different constraints.

A parameter with a missing row works the other way:

constraints:
  cap:
    dims: [g]
    expression: x - rel_max * y <= 0

Where the variable y is masked, the row is gone. Where a missing: 0 parameter rel_max has no row, it reads as 0, and the row stands as x <= 0. To drop the row there instead, declare rel_max missing: absent, or write where: rel_max on the constraint.

Where a parameter is read#

A refused parameter needs a row at each coordinate where the model reads its value, and at no other coordinate. A tool builds the masks first, because the masks decide which variables and rows exist. Then the tool refuses a missing row at a coordinate the model reads, and names the parameter and the coordinate.

dimensions:
  g: { dtype: str }
parameters:
  capacity: { dims: [g] }
  p_max: { dims: [g] } # refused, by default
variables:
  dispatch:
    dims: [g]
    where: "capacity > 0"
    bounds: { lower: 0, upper: p_max }

With capacity = {wind: 10, gas: 5, old: 0}, the model has no dispatch[old]. So the model never reads p_max[old], and a p_max table with rows for wind and gas only is accepted. A p_max table with no row for gas is refused, because the model reads the upper bound of dispatch[gas].

The model reads a parameter where its value goes into the model it builds:

A row that an absent term removes is not built, so the model reads no parameter in that row.

A where does not read a parameter. A bare name asks whether the table has a row. A comparison at a missing row is false, unless the missing: of the parameter names a value. So where: "capacity > 0" above is false at a generator with no capacity row, and that generator has no dispatch. A mask reads the same way.

What a missing coordinate means#

By default a masked coordinate has no value, and a row that needs it is not built. Some quantities have a known number outside their mask, such as zero, and the missing: key of the variable names it:

variables:
  spill:
    dims: [storage]
    where: has_inflow
    missing: 0 # outside the mask spill is 0 and the row stands
  soc:
    dims: [storage]
    where: has_store # the default, missing: absent — no row
constraints:
  balance:
    dims: [storage]
    expression: inflow - spill - soc == 0

At a storage with a store and no inflow, balance reads inflow - soc == 0. At a storage with inflow and no store, there is no row.

A variable takes missing: absent or a finite number, because a variable has no data to refuse. A number needs a where:. It must lie in the domain: of the variable, so a binary variable takes 0 or 1, and inside its literal bounds:. to_spec refuses the file otherwise. Inside a summing operator, missing: 0 changes nothing, and another number adds itself once for each coordinate that the mask leaves out. The typeset legend prints the number where the mask leaves it out beside the variable.

Rows with no variable terms#

A missing row that reads as 0 can leave a row with nothing to decide, such as 0 == load at a bus with no generator, and such a row is not built. to_spec refuses an expression that names no variable in the file.

Reported values#

A reported expression inherits the absence of the solved numbers it reads, by the rules above. A quotient is absent where its divisor is absent, and where its divisor is exactly zero, whether a solve or the data gave that zero. A solved value is read as the engine reads it back, so an engine may read a value within its solver's tolerance of zero as zero. A divisor parameter with a missing row where the quotient is read is refused, unless the parameter is missing: absent or names a value other than 0. A deleted row has no dual.