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better front end documentation for numerical attributes
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@ -1087,13 +1087,18 @@ def close(trexio_file):
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| ~$group_dset_dtype_default$~ | Default datatype of the dataset [C] | ~double/int32_t~ |
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| ~$group_dset_dtype_default$~ | Default datatype of the dataset [C] | ~double/int32_t~ |
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| ~$group_dset_dtype_single$~ | Single precision datatype of the dataset [C] | ~float/int32_t~ |
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| ~$group_dset_dtype_single$~ | Single precision datatype of the dataset [C] | ~float/int32_t~ |
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| ~$group_dset_dtype_double$~ | Double precision datatype of the dataset [C] | ~double/int64_t~ |
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| ~$group_dset_dtype_double$~ | Double precision datatype of the dataset [C] | ~double/int64_t~ |
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| ~$default_prec$~ | Default precision for read/write without suffix [C] | ~64/32~ |
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| ~$group_dset_f_dtype_default$~ | Default datatype of the dataset [Fortran] | ~real(8)/integer(4)~ |
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| ~$group_dset_f_dtype_default$~ | Default datatype of the dataset [Fortran] | ~real(8)/integer(4)~ |
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| ~$group_dset_f_dtype_single$~ | Single precision datatype of the dataset [Fortran] | ~real(4)/integer(4)~ |
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| ~$group_dset_f_dtype_single$~ | Single precision datatype of the dataset [Fortran] | ~real(4)/integer(4)~ |
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| ~$group_dset_f_dtype_double$~ | Double precision datatype of the dataset [Fortran] | ~real(8)/integer(8)~ |
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| ~$group_dset_f_dtype_double$~ | Double precision datatype of the dataset [Fortran] | ~real(8)/integer(8)~ |
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| ~$group_dset_f_dims$~ | Dimensions in Fortran | ~(:,:)~ |
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| ~$group_dset_f_dims$~ | Dimensions in Fortran | ~(:,:)~ |
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| ~$group_dset_py_dtype$~ | Standard datatype of the dataset [Python] | ~float/int~ |
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| ~$group_dset_py_dtype$~ | Standard datatype of the dataset [Python] | ~float/int~ |
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| ~$default_prec$~ | Default precision for read/write without suffix [C] | ~64/32~ |
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| ~$is_index$~ | Expands to ~true~ if dataset has a type ~index~ [C] | ~true/false~ |
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Some of the aforementioned template variables with ~group_dset~ prefix are duplicated with ~group_num~ prefix,
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e.g. you might find $group_num_dtype_double$ in the templates corresponding to numerical attributes.
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The expanding values are the same as for ~group_dset~ and thus are not listed in the table above.
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Note: parent group name is always added to the child objects upon
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Note: parent group name is always added to the child objects upon
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construction of TREXIO (e.g. ~num~ of ~nucleus~ group becomes
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construction of TREXIO (e.g. ~num~ of ~nucleus~ group becomes
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@ -1104,14 +1109,18 @@ def close(trexio_file):
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object) levels of =trex.json= . The parsed data is divided in 2
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object) levels of =trex.json= . The parsed data is divided in 2
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parts:
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parts:
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1) Dimensioning variables (contain ~num~ in their names). These are always scalar integers.
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1) Single attributes. These can be numerical values or strings.
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2) Datasets. These can be vectors, matrices or tensors. The types are indicated in =trex.json=.
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2) Datasets. These can be vectors, matrices or tensors. The types are indicated in =trex.json=.
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Currently supported types: int, float and strings.
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Currently supported data types: int, float and strings.
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For each of the aforementioned objects, TREXIO provides *has*,
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For each of the aforementioned objects, TREXIO provides *has*,
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*read* and *write* functionality. TREXIO supports I/O with single
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*read* and *write* functionality. TREXIO supports I/O with single
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or double precision for integer and floating point numbers.
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or double precision for integer and floating point numbers.
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*Note:* single integer attributes that contain ~num~ in their name (e.g. ~nucleus_num~) are
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considered dimensioning variables and cannot be negative or 0. An attempt to write negative or 0
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value will result in ~TREXIO_INVALID_ARG_2~ exit code.
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** Templates for front end has/read/write a single numerical attribute
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** Templates for front end has/read/write a single numerical attribute
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*** Introduction
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*** Introduction
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