Table of Contents
Introduction
DEADLINE: end of March
Objectives:
- GET: To retrieve subset of data elements
- GET_SIZE: To interrogate the size of subset of data elements,
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Assumptions:
GET_SLICEtype methods are not in the scope of the task (they are alternative ways to retrieve parts of the data elements) – although may be useful to add (independently of the deliverable) if straightforward to implement.- Implementation in Python only, no plans for other languages
Functionality:
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- In case of nested AoS, it is not allowed to specify set of indices for AoS ancestors
- IMPLEMENTATION IN NEW LL ONLY!!!!!
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USE CASES:
- During the partial GET, only the requested node is returned (and the structure below if the node is not a leaf), not the whole structure above: get (« magnetics
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- .flux_loop(
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- i).flux ») à flux
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- (t) for index (i) of its parent
- If the user specifies a set of indices for the parent, then the GET returns a reshaped leaf with an additional dimension (corresponding to the one of its parent). Reshaping is done while keeping time as the last dimension, to keep consistent with the IMAS DD rule (even if the reshaped leaf is not anymore a legal DD entity) :
- get (« magnetics.flux_loop(i1:i2).flux ») à flux
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- (i1:i2, t)
- get (« equilibrium.time_slice(t1:t2).profiles_1d.q ») à q(:, t1:t2)
- In case of nested AoS, it is not allowed to specify set of indices for AoS ancestors. Only given values of AoS ancestors indices are handled : path/to/field/with/ancestorAoS(x:y)/field/AoS(n :m) is not managed by partial GET
Type of Field | Indices | Query | Output | |
---|---|---|---|---|
primitive/structure | NO | path/to/field/with/ancestorAoS(x)/field | primitive_type[1] structure[1] | |
primitive/structure | YES | path/to/field/with/ancestorAoS(i1:i2)/field | primitive_type[n] structure[n] | n=i2 - i1 |
primitive/structure | YES | path/to/field/with/ancestorAoS(x:y)/field/AoS(n :m)/field | ERROR | it is not allowed to specify set of indices for AoS ancestors |
AoS | NO | path/to/field/with/ancestorAoS(x)/field/AoS(y) | AoS[1] | if AoS is not a leaf, its "sub-structure" is filled in |
AoS | YES | path/to/field/with/ancestorAoS(x)/field/AoS(i1:i2) | AoS[n] | n=i2 - i1 if AoS is not a leaf, its "sub-structure" is filled in |
AoS | YES | path/to/field/with/ancestorAoS(x:y)/field/AoS(n :m) | ERROR | it is not allowed to specify set of indices for AoS ancestors |
AoS | YES | path/to/field/with/ancestorAoS(x:y)/field/AoS(1) | ERROR????? |
Time issue in heterogeneous
mode:
Let's assume Aos is tuple {data, time}
- GET(/path/to/AoS/) - OK
- GET(/path/to/AoS/data)
- Homogeneous mode: OK
- Heterogeneous mode:
- If requesting for single index - OK
- otherwise - ERROR
- If requesting for single index - OK
- GET(/path/to/AoS/time)
- Homogeneous mode: ids%time
- Heterogeneous mode: ERROR
Example:
- get (« magnetics.flux_loop(i1:i2).flux ») returns flux(i1:i2). This is an AoS with data(t) and time(t) below, which can be of different sizes for the various indices i1:i2
- get (« magnetics.flux_loop(i1:i2).flux.data ») returns data(i1:i2,t) in homogeneous case, and an error message otherwise.
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- Returned: an array of structure containing the desired indices (optional argument, by default all indices are returned).
- Example : magnetics.flux_loop(indices) à straightforward with Bartek’s method
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- Example. ic_antennas.antenna(indices1).module.get(indices2)
- It will be investigated if the method can be also easily implemented (i.e. the result is not guaranteed and the need is less obvious)
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- Example: ic_antennas.antenna(indices1).module(indices2).power_launched.get
- It will be investigated if the method can be also easily implemented (i.e. the result is not guaranteed and the need is less obvious)
Syntax:
Info | ||
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..... first you have to add a ; (semicolon) after the name of the field, then you have to specify the dimension in which you consider the data (1 is the first dim). After that, you can add as many ;index as you want (a semicolon followed by an index you want to extract). You can also replace the index by an expression index1:index2 (with a colon) to specify a set of indexes between both index1 and index2. For example, position/z;1;5;10;15:18 will export indexes [5,10,15,16,17,18] of the field z. |
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- ids_get(<path_including_indices>)
input parameterspulseCtx (OR shot, run, user, tokamak, version) - IDS name
- occurence QUERY
- output parameters
- array of primitive types (if query points to field of primitive type)
- array of structures (if query points to field of AoS type or structure)
query
syntax- separators ( / . | ) - path within tree
- brackets () [] - array
- indices (fortran style)
- ":" all elements
- "x:y" (from x to y)
- ":y" from begin to y
- "x:" from x to the last
- only the last AoS can contain indices:
- YES: "path/to/field/with/ancestorAoS(1)/field/AoS(n:m)"
- NO: "path/to/field/with/ancestorAoS(x:y)/field/AoS(1)"
path/to/field/with/ancestorAoS(1)/field/AoS(n:m) -> AoS(n:m)
ancestorAoS(x:y)/field(:) --> field(:,x:y)
Time issues
AoS
time independent data (no AoS3 on path)
members of timed AoS (AoS3)
- single index from the ancestor AoS is requested, so no reshaping should be done, and no attempt to fill in time arrays should be done.
- ERROR (because of lack of time info available in returned data)
time dependent vectors/arrays
Shape of returned arrays
/path/with/AoS(i1:i2)/data
lets assume:
+ i1=1; i2=3 => number of AoS to be found ("range") is 2
+ len (data) == 5,
+ data for AoS(i1) = {11, 12, 13, 14, 15}
+ data for AoS(i2) = {21, 22, 23, 24, 25}
Non timed AoS
get (« magnetics.flux_loop(i1:i2).flux ») à flux(i1:i2, t)
If AoS is NON TIMED (AoS1 or AoS2) return array has shape (range, data_len)
In NumPy notation:
[[11, 12, 13, 14, 15]
[21, 22, 23, 24, 25]]
e.g.
arr(0,1) = 12
arr(1,2) = 23
Timed AoS
get (« equilibrium.time_slice(t1:t2).profiles_1d.q ») à q(:, t1:t2)
If AoS is TIMED (AoS3) return array has shape (data_len, range)
In NumPy notation:
[ [11,21]
[12,22]
[13,23]
[14,24]
[15,25] ]
e.g.
arr(0,1) = 21
arr(2,1) = 23
OPEN POINTS:
- AoS as ancestor(s) of queried data
- once implemented mechanism for creation of AoS could be reused to "go through" ancestors
- returned value
- type provided by user?
- AoS? if not - functionality can be placed at the Low Level and available for all HLIs (however it could be a problem with returned type anyway)
- Level of nesting
- path/AoS(indices)/x/y/z ?