Front end API
Table of Contents
- 1. Coding conventions
- 2. Front end
- 3. Templates for front end
- 3.1. Description
- 3.2. Templates for front end has/read/write a single numerical attribute
- 3.3. Templates for front end has/read/write a dataset of numerical data
- 3.4. Templates for front end has/read/write a dataset of sparse data
- 3.5. Templates for front end has/read/write a dataset of strings
- 3.6. Templates for front end has/read/write a single string attribute
- 3.7. Templates for front end delete an entire group (UNSAFE MODE)
- 4. Source code for the determinant part
- 5. General helper functions
- 6. Fortran helper/wrapper functions
1 Coding conventions
- integer types will be defined using types given in
stdint.h
- pointers are always initialized to
NULL
- when memory is freed, the pointer is set to
NULL
assert.h
should be used extensively- variable names are in lower case
#define
constants are in upper case- structs are suffixed by
_s
- types are suffixed by
_t
- API calls return
trexio_exit_code
(except fortrexio_open
function)
1.1 Memory allocation
Memory allocation of structures can be facilitated by using the following macros, which ensure that the size of the allocated object is the same as the size of the data type pointed by the pointer. For CALLOC, we allocate N+1 to avoid errors when N=0.
#define MALLOC(T) (T*) malloc (sizeof(T)) #define CALLOC(N,T) (T*) calloc ( (N)+1 , sizeof(T) )
When a pointer is freed, it should be set to NULL
.
This can be facilitated by the use of the following macro:
#define FREE(X) { free(X) ; (X)=NULL; }
The maximum string size for the filenames is 4096 characters.
#define TREXIO_MAX_FILENAME_LENGTH 4096
2 Front end
All calls to TREXIO are thread-safe. TREXIO front end is modular, which simplifies implementation of new back ends.
2.1 Error handling
Macro | Code | Description |
---|---|---|
TREXIO_FAILURE |
-1 | 'Unknown failure' |
TREXIO_SUCCESS |
0 | 'Success' |
TREXIO_INVALID_ARG_1 |
1 | 'Invalid argument 1' |
TREXIO_INVALID_ARG_2 |
2 | 'Invalid argument 2' |
TREXIO_INVALID_ARG_3 |
3 | 'Invalid argument 3' |
TREXIO_INVALID_ARG_4 |
4 | 'Invalid argument 4' |
TREXIO_INVALID_ARG_5 |
5 | 'Invalid argument 5' |
TREXIO_END |
6 | 'End of file' |
TREXIO_READONLY |
7 | 'Read-only file' |
TREXIO_ERRNO |
8 | strerror(errno) |
TREXIO_INVALID_ID |
9 | 'Invalid ID' |
TREXIO_ALLOCATION_FAILED |
10 | 'Allocation failed' |
TREXIO_HAS_NOT |
11 | 'Element absent' |
TREXIO_INVALID_NUM |
12 | 'Invalid (negative or 0) dimension' |
TREXIO_ATTR_ALREADY_EXISTS |
13 | 'Attribute already exists' |
TREXIO_DSET_ALREADY_EXISTS |
14 | 'Dataset already exists' |
TREXIO_OPEN_ERROR |
15 | 'Error opening file' |
TREXIO_LOCK_ERROR |
16 | 'Error locking file' |
TREXIO_UNLOCK_ERROR |
17 | 'Error unlocking file' |
TREXIO_FILE_ERROR |
18 | 'Invalid file' |
TREXIO_GROUP_READ_ERROR |
19 | 'Error reading group' |
TREXIO_GROUP_WRITE_ERROR |
20 | 'Error writing group' |
TREXIO_ELEM_READ_ERROR |
21 | 'Error reading element' |
TREXIO_ELEM_WRITE_ERROR |
22 | 'Error writing element' |
TREXIO_UNSAFE_ARRAY_DIM |
23 | 'Access to memory beyond allocated' |
TREXIO_ATTR_MISSING |
24 | 'Attribute does not exist in the file' |
TREXIO_DSET_MISSING |
25 | 'Dataset does not exist in the file' |
TREXIO_BACK_END_MISSING |
26 | 'Requested back end is disabled' |
TREXIO_INVALID_ARG_6 |
27 | 'Invalid argument 6' |
TREXIO_INVALID_ARG_7 |
28 | 'Invalid argument 7' |
TREXIO_INVALID_ARG_8 |
29 | 'Invalid argument 8' |
TREXIO_INVALID_STR_LEN |
30 | 'Invalid maxstrlen' |
TREXIO_INT_SIZE_OVERFLOW |
31 | 'Possible integer overflow' |
TREXIO_SAFE_MODE |
32 | 'Unsafe operation in safe mode' |
TREXIO_INVALID_ELECTRON_NUM |
33 | 'Inconsistent number of electrons' |
TREXIO_INVALID_DETERMINANT_NUM |
34 | 'Inconsistent number of determinants' |
TREXIO_INVALID_STATE |
35 | 'Inconsistent state of the file' |
TREXIO_VERSION_PARSING_ISSUE |
36 | 'Failed to parse packageversion' |
IMPORTANT! The code below has to be executed within Emacs each time a new error code is added to the table above. Otherwise, the codes and the corresponding message are not propagated to the source code.
""" This script generates the C and Fortran constants for the error codes from the org-mode table. """ result = [ "#+begin_src c :tangle prefix_front.h :exports none" ] for (text, code,_) in table: text=text.replace("~","") result += [ f"#define {text:30s} ((trexio_exit_code) {code:d})" ] result += [ "#+end_src" ] result += [ "" ] result += [ "#+begin_src f90 :tangle prefix_fortran.f90 :exports none" ] for (text, code,_) in table: text=text.replace("~","") result += [ f" integer(trexio_exit_code), parameter :: {text:30s} = {code:d}" ] result += [ "#+end_src" ] result += [ "" ] result += [ "#+begin_src python :tangle prefix_python.py :exports none" ] result += [ "# define TREXIO exit codes" ] for (text, code,_) in table: text=text.replace("~","") result += [ f"{text:30s} = {code:d}" ] result += [ "#+end_src" ] return '\n'.join(result)
2.1.1 Decoding errors
The trexio_string_of_error
converts an exit code into a string. The
string is assumed to be large enough to contain the error message
(typically 128 characters).
To decode the error messages, trexio_string_of_error
converts an
error code into a string.
128
IMPORTANT! The code below has to be executed within Emacs each time a new error code is added to the table above. Otherwise, the codes and the corresponding message are not propagated to the source code.
2.1.1.1 C source code
const char* trexio_string_of_error (const trexio_exit_code error) { switch (error) { case TREXIO_FAILURE: return "Unknown failure"; break; case TREXIO_SUCCESS: return "Success"; break; case TREXIO_INVALID_ARG_1: return "Invalid argument 1"; break; case TREXIO_INVALID_ARG_2: return "Invalid argument 2"; break; case TREXIO_INVALID_ARG_3: return "Invalid argument 3"; break; case TREXIO_INVALID_ARG_4: return "Invalid argument 4"; break; case TREXIO_INVALID_ARG_5: return "Invalid argument 5"; break; case TREXIO_END: return "End of file"; break; case TREXIO_READONLY: return "Read-only file"; break; case TREXIO_ERRNO: return strerror(errno); break; case TREXIO_INVALID_ID: return "Invalid ID"; break; case TREXIO_ALLOCATION_FAILED: return "Allocation failed"; break; case TREXIO_HAS_NOT: return "Element absent"; break; case TREXIO_INVALID_NUM: return "Invalid (negative or 0) dimension"; break; case TREXIO_ATTR_ALREADY_EXISTS: return "Attribute already exists"; break; case TREXIO_DSET_ALREADY_EXISTS: return "Dataset already exists"; break; case TREXIO_OPEN_ERROR: return "Error opening file"; break; case TREXIO_LOCK_ERROR: return "Error locking file"; break; case TREXIO_UNLOCK_ERROR: return "Error unlocking file"; break; case TREXIO_FILE_ERROR: return "Invalid file"; break; case TREXIO_GROUP_READ_ERROR: return "Error reading group"; break; case TREXIO_GROUP_WRITE_ERROR: return "Error writing group"; break; case TREXIO_ELEM_READ_ERROR: return "Error reading element"; break; case TREXIO_ELEM_WRITE_ERROR: return "Error writing element"; break; case TREXIO_UNSAFE_ARRAY_DIM: return "Access to memory beyond allocated"; break; case TREXIO_ATTR_MISSING: return "Attribute does not exist in the file"; break; case TREXIO_DSET_MISSING: return "Dataset does not exist in the file"; break; case TREXIO_BACK_END_MISSING: return "Requested back end is disabled"; break; case TREXIO_INVALID_ARG_6: return "Invalid argument 6"; break; case TREXIO_INVALID_ARG_7: return "Invalid argument 7"; break; case TREXIO_INVALID_ARG_8: return "Invalid argument 8"; break; case TREXIO_INVALID_STR_LEN: return "Invalid max_str_len"; break; case TREXIO_INT_SIZE_OVERFLOW: return "Possible integer overflow"; break; case TREXIO_SAFE_MODE: return "Unsafe operation in safe mode"; break; case TREXIO_INVALID_ELECTRON_NUM: return "Inconsistent number of electrons"; break; case TREXIO_INVALID_DETERMINANT_NUM: return "Inconsistent number of determinants"; break; case TREXIO_INVALID_STATE: return "Inconsistent state of the file"; break; case TREXIO_VERSION_PARSING_ISSUE: return "Failed to parse package_version"; break; } return "Unknown error"; } void trexio_string_of_error_f (const trexio_exit_code error, char result[128]) { strncpy(result, trexio_string_of_error(error), 128); }
2.1.1.2 Fortran interface
interface subroutine trexio_string_of_error (error, string) bind(C, name='trexio_string_of_error_f') use, intrinsic :: iso_c_binding import integer(trexio_exit_code), intent(in), value :: error character(kind=c_char), intent(out) :: string(128) end subroutine trexio_string_of_error end interface
2.1.1.3 Python interface
class Error(Exception): """Base class for TREXIO errors. Attributes: error: int -- exit code returned by the call to TREXIO library; message: str -- decoded string corresponding to trexio_exit_code. """ def __init__(self, trexio_return_code): self.error = trexio_return_code self.message = string_of_error(trexio_return_code) super().__init__(self.message) def string_of_error(return_code: int) -> str: """Decode the TREXIO exit code. Argument is an integer return code that correspond to one of the TREXIO errors. Returns a string that contains description of TREXIO ~return_code~. """ return pytr.trexio_string_of_error(return_code)
2.2 Back ends
TREXIO has several back ends:
TREXIO_HDF5
relies on extensive use of the HDF5 library and the associated file format. The HDF5 file is binary and tailored to high-performance I/O. This back end is the default one. HDF5 can be compiled with MPI for parallel I/O. Note, that HDF5 has to be downloaded and installed independently of TREXIO, which may cause some obstacles, especially when the user is not allowed to install external software. The produced files usually have.h5
extension.TREXIO_TEXT
relies on basic file I/O in C, namelyfopen, fclose, fprintf, fscanf
etc. fromstdio.h
library. This back end is not optimized for performance. It is supposed to be used for debug purposes or, for example, when the user wants to modify some data manually within the file. This back end is supposed to work "out-of-the-box" since there are no external dependencies, which might be useful for users that do not have access to HDF5 library. The produced files usually have.txt
extension.
TREXIO_AUTO
can be provided as a back end when opening an existing TREXIO file in read-only 'r'
mode.
In this case, TREXIO will try to automatically detect the back end, which should be used to open the file.
Additional back ends can be implemented thanks to the modular nature of the front end.
This can be achieved by adding a new case
(corresponding to the desired back end) in the front-end switch
.
Then the corresponding back-end has/read/write
functions has to be implemented. For example, see the commented
lines that correspond to the TREXIO_JSON
back end (not implemented yet).
Note: It is important to increment the value of TREXIO_INVALID_BACK_END
when a new back end is implemented. Otherwise, it will not be available.
2.2.1 C
typedef int32_t back_end_t; #define TREXIO_HDF5 ( (back_end_t) 0 ) #define TREXIO_TEXT ( (back_end_t) 1 ) #define TREXIO_INVALID_BACK_END ( (back_end_t) 2 ) #define TREXIO_AUTO TREXIO_INVALID_BACK_END /*#define TREXIO_JSON ( (back_end_t) 2 )*/ #define TREXIO_DELIM "\n"
The helper function trexio_has_back_end
returns true
if TREXIO compilation includes a back end provided as an argument; false
otherwise.
This is useful due to the fact that HDF5 back end can be disabled at configure step.
bool trexio_has_backend(back_end_t back_end); bool trexio_has_back_end(back_end_t back_end);
bool trexio_has_back_end(back_end_t back_end) { switch (back_end) { case TREXIO_TEXT: return true; case TREXIO_HDF5: #ifdef HAVE_HDF5 return true; #else return false; #endif } return false; } bool trexio_has_backend(back_end_t back_end) { return trexio_has_back_end(back_end); }
2.2.2 Fortran
integer(trexio_back_end_t), parameter :: TREXIO_HDF5 = 0 integer(trexio_back_end_t), parameter :: TREXIO_TEXT = 1 ! integer(trexio_back_end_t), parameter :: TREXIO_JSON = 2 integer(trexio_back_end_t), parameter :: TREXIO_INVALID_BACK_END = 2 integer(trexio_back_end_t), parameter :: TREXIO_AUTO = TREXIO_INVALID_BACK_END
The function below is a Fortran interface for the aforementioned C-compatible trexio_has_back_end
function.
interface logical(c_bool) function trexio_has_back_end (back_end) bind(C) use, intrinsic :: iso_c_binding import integer(trexio_back_end_t), intent(in), value :: back_end end function trexio_has_back_end end interface interface logical(c_bool) function trexio_has_backend (back_end) bind(C) use, intrinsic :: iso_c_binding import integer(trexio_back_end_t), intent(in), value :: back_end end function trexio_has_backend end interface
Originally, the function was named trexio_has_backend
. For
consistency, in version 2.2 it was renamed trexio_has_back_end
.
2.2.3 Python
# define TREXIO back ends TREXIO_HDF5 = 0 TREXIO_TEXT = 1 #TREXIO_JSON = 2 TREXIO_INVALID_BACK_END = 2 TREXIO_AUTO = TREXIO_INVALID_BACK_END
2.3 Read/write behavior
Every time a reading function is called, the data is read from the disk. If data needs to be cached, this is left to the user of the library.
Writing to TREXIO files is done with transactions (all-or-nothing
effect). File writes are attempted by
calling explicitly the write (TREXIO_HDF5
) or flush (TREXIO_TEXT
)
function, or when the TREXIO file is closed.
If writing is impossible because the data is not valid, no data is written.
The order in which the data is written is not necessarily consistent with the order in which the function calls were made.
The TREXIO files are supposed to be opened by only one program at a time: if the same TREXIO file is modified simultaneously by multiple concurrent programs, the behavior is not specified.
2.4 TREXIO file type
trexio_s
is the the main type for TREXIO files, visible to the users
of the library. This type is kept opaque, and all modifications to
the files will be necessarily done through the use of functions,
taking such a type as argument.
File creation and opening functions will return TREXIO file handles,
namely pointers to trexio_s
types. All functions accessing to the
TREXIO files will have as a first argument the TREXIO file handle.
typedef struct trexio_s trexio_t;
struct trexio_s { char file_name[TREXIO_MAX_FILENAME_LENGTH]; pthread_mutex_t thread_lock; back_end_t back_end; char mode; bool one_based; int32_t state; int16_t version_major; int16_t version_minor; int16_t version_patch; char version[16]; };
File class for the Python API is defined below. Use of Python class make it more intuitive and more python-ic to work with TREXIO files.
class File: """trexio.File class. General information about the TREXIO file. Parameters: filename: str Is a name of the full path to the TREXIO file. back_end: int One of the currently supported TREXIO back ends. For example, TREXIO_HDF5 (0) or TREXIO_TEXT (1). mode: str One of the currently supported TREXIO open modes. For example, 'r' or 'w'. state: int Active state of the file (needed to write determinant_coefficient). Default is 0. isOpen: bool Flag indicating whether the current object is still open for I/O pytrexio_s: A PyObject corresponding to SWIG proxy of the trexio_s struct in C. This argument is in fact a TREXIO file handle, which is required for communicating with the C back end. info: dict Dictionary of key-value pairs with additional information about the file. """ def __init__(self, filename, mode='r', back_end=TREXIO_HDF5, pytrexio_s=None, info=None): """TREXIO File class constructor.""" self.filename = filename self.mode = mode self.state = 0 self.isOpen = False self.exists = False if pytrexio_s is None: self.pytrexio_s = _open(filename, mode, back_end) self.isOpen = True self.exists = True else: self.pytrexio_s = pytrexio_s self.isOpen = None self.exists = None self.back_end = self.pytrexio_s.back_end self.info = info def __enter__(self): """Enter statement for with ... as ... handling.""" return self def __exit__(self, *args): """Exit statement for with ... as ... handling.""" if self.isOpen: self.close() def close(self): """Close a TREXIO File.""" if self.isOpen: _close(self.pytrexio_s) self.isOpen = False else: raise Exception("TREXIO File object has not been opened.") def set_state(self, state): """Set the state of the TREXIO File.""" if not isinstance(state, int): raise TypeError("state argument has to be int") rc = pytr.trexio_set_state(self.pytrexio_s, state) if rc != TREXIO_SUCCESS: raise Error(rc) self.state = state def get_state(self): """Get the state of the TREXIO File.""" rc, state = pytr.trexio_get_state(self.pytrexio_s) if rc != TREXIO_SUCCESS: raise Error(rc) if state != self.state: raise Exception("Inconsistent state of the TREXIO file.") return self.state def inquire(self): """Inquire whether a TREXIO file exists.""" self.exists = _inquire(self.filename) def __del__(self): """TREXIO File class destructor.""" if self.isOpen: _close(self.pytrexio_s) elif self.isOpen is None: raise Exception("[WIP]: TREXIO file handle provided but what if the file is already closed?") else: pass
2.5 File opening
trexio_open
creates a new TREXIO file or opens the existing one.
Input parameters:
file_name
- string containing file namemode
- character containing open mode (see below)'w'
- (write) creates a new file as READWRITE'r'
- (read) opens existing file as READONLY'u'
- (unsafe) opens existing file as READWRITE with the possibility to overwrite blocks and delete full groups.
back_end
- integer number (or the corresponding global parameter) specifying the back endTREXIO_HDF5
- for HDF5 back end (integer alternative: 0)TREXIO_TEXT
- for TEXT back end (integer alternative: 1)TREXIO_AUTO
- to automatically detect the applicable back end
Output:
- Pointer to the
trexio_t
(struct) file handle.
Upon creation of the TREXIO file, the package_version
attribute of the
metadata
group is set to the TREXIO_PACKAGE_VERSION
string.
This attribute is not automatically updated when the file is modified with
newer versions. However, this can be done manually by the user in unsafe mode.
Note: internal consistency is not guaranteed once the file has been modified in 'u'
(unsafe) mode.
Upon the first unsafe call to trexio_open
the unsafe
attribute of the metadata
group will be set
to 1 (true) in order to indicate that the file might be inconsistent due to the use of 'u'
mode.
Note: the file_name
in TEXT back end actually corresponds to the
name of the directory where .txt
data files are stored. The
actual name of each .txt
file corresponds to the group name
provided in trex.config
(e.g. nucleus.txt
for nuclei-related
data). These names are populated by the generator.py (i.e. they
are hard-coded), which is why the user should tend to avoid
renaming the .txt
data files.
2.5.1 C
trexio_t* trexio_open(const char* file_name, const char mode, const back_end_t back_end, trexio_exit_code* const rc_open) { if (file_name == NULL || file_name[0] == '\0') { if (rc_open != NULL) *rc_open = TREXIO_INVALID_ARG_1; return NULL; } /* Check overflow in file_name */ /* Check that the mode is valid */ if (mode != 'r' && mode != 'w' && mode != 'u') { if (rc_open != NULL) *rc_open = TREXIO_INVALID_ARG_2; return NULL; } /* Check that the back end is valid in non-read mode */ if ((back_end < 0 || back_end >= TREXIO_INVALID_BACK_END) && mode != 'r') { if (rc_open != NULL) *rc_open = TREXIO_INVALID_ARG_3; return NULL; } /* Check that the back end is valid in read-only mode */ if ((back_end < 0 || back_end > TREXIO_INVALID_BACK_END) && mode == 'r') { if (rc_open != NULL) *rc_open = TREXIO_INVALID_ARG_3; return NULL; } back_end_t back_end_local = back_end; /* Try to determine the applicable backend if the back_end argument is TREXIO_AUTO */ if (back_end == TREXIO_AUTO && mode == 'r') { #ifdef HAVE_HDF5 /* Check if the TREXIO file exists and if it is a directory */ trexio_exit_code rc_text = trexio_text_inquire(file_name); if (rc_text == TREXIO_SUCCESS) { back_end_local = TREXIO_TEXT; } else { /* If not, check if it is an HDF5 file */ trexio_exit_code rc_hdf5 = trexio_hdf5_inquire(file_name); if (rc_hdf5 == TREXIO_SUCCESS) { back_end_local = TREXIO_HDF5; } else { /* File is neither a directory nor an HDF5 file -> return an error */ if (rc_open != NULL) *rc_open = TREXIO_FILE_ERROR; return NULL; } } #else /* In the current implementation if HDF5 back end is not available - then there is only back end left */ back_end_local = TREXIO_TEXT; #endif } trexio_t* result = NULL; void* result_tmp = NULL; /* Allocate data structures */ switch (back_end_local) { case TREXIO_TEXT: result_tmp = malloc(sizeof(trexio_text_t)); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 result_tmp = malloc(sizeof(trexio_hdf5_t)); break; #else if (rc_open != NULL) *rc_open = TREXIO_BACK_END_MISSING; return NULL; #endif default: if (rc_open != NULL) *rc_open = TREXIO_FILE_ERROR; return NULL; /* case TREXIO_JSON: result = (trexio_t*) malloc (sizeof(trexio_json_t)); break; */ } result = (trexio_t*) result_tmp; assert (result != NULL); /* TODO: Error handling */ /* Data for the parent type */ strncpy(result->file_name, file_name, TREXIO_MAX_FILENAME_LENGTH); if (result->file_name[TREXIO_MAX_FILENAME_LENGTH-1] != '\0') { if (rc_open != NULL) *rc_open = TREXIO_INVALID_ARG_1; free(result); return NULL; } result->back_end = back_end_local; result->mode = mode; result->one_based = false; // Need to be flipped in Fortran interface result->state = 0; // By default the file corresponds to a ground state int irc = pthread_mutex_init ( &(result->thread_lock), NULL); if (irc != 0) { if (rc_open != NULL) *rc_open = TREXIO_FAILURE; free(result); return NULL; } // assert (irc == 0); trexio_exit_code rc; /* Back end initialization */ rc = TREXIO_OPEN_ERROR; switch (back_end_local) { case TREXIO_TEXT: rc = trexio_text_init(result); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_init(result); break; #else if (rc_open != NULL) *rc_open = TREXIO_BACK_END_MISSING; free(result); return NULL; #endif /* case TREXIO_JSON: rc = trexio_json_init(result); break; */ } if (rc != TREXIO_SUCCESS) { if (rc_open != NULL) *rc_open = TREXIO_OPEN_ERROR; free(result); return NULL; } /* File locking */ rc = TREXIO_LOCK_ERROR; switch (back_end_local) { case TREXIO_TEXT: rc = trexio_text_lock(result); break; /* HDF5 v.>=1.10 has file locking activated by default */ case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = TREXIO_SUCCESS; break; #else if (rc_open != NULL) *rc_open = TREXIO_BACK_END_MISSING; free(result); return NULL; #endif /* case TREXIO_JSON: rc = trexio_json_lock(result); break; */ } if (rc != TREXIO_SUCCESS) { if (rc_open != NULL) *rc_open = TREXIO_LOCK_ERROR; free(result); return NULL; } /* Write metadata (i.e. package version) upon creation */ rc = trexio_has_metadata_package_version(result); if (rc == TREXIO_FAILURE) { if (rc_open != NULL) *rc_open = TREXIO_OPEN_ERROR; free(result); return NULL; } if (rc == TREXIO_HAS_NOT) { /* Write TREXIO_PACKAGE_VERSION upon creation of the file */ switch (back_end_local) { case TREXIO_TEXT: rc = trexio_text_write_metadata_package_version(result, TREXIO_PACKAGE_VERSION); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_write_metadata_package_version(result, TREXIO_PACKAGE_VERSION); break; #else if (rc_open != NULL) *rc_open = TREXIO_BACK_END_MISSING; free(result); return NULL; #endif } if (rc != TREXIO_SUCCESS) { if (rc_open != NULL) *rc_open = rc; free(result); return NULL; } result->version_major = TREXIO_VERSION_MAJOR; result->version_minor = TREXIO_VERSION_MINOR; result->version_patch = TREXIO_VERSION_PATCH; strncpy(result->version, TREXIO_PACKAGE_VERSION, 16); } else { /* Otherwise read the metadata_package_version to get the TREXIO version upon creation of the file */ char version_origin[16]; switch (back_end_local) { case TREXIO_TEXT: rc = trexio_text_read_metadata_package_version(result, version_origin, 16); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_read_metadata_package_version(result, version_origin, 16); break; #else if (rc_open != NULL) *rc_open = TREXIO_BACK_END_MISSING; free(result); return NULL; #endif } if (rc != TREXIO_SUCCESS) { if (rc_open != NULL) *rc_open = rc; free(result); return NULL; } int16_t version_major, version_minor, version_patch; int rc_scan = sscanf(version_origin, "%3" SCNd16 ".%5" SCNd16 ".%5" SCNd16, &version_major, &version_minor, &version_patch); if (rc_scan != 3) { if (rc_open != NULL) *rc_open = TREXIO_VERSION_PARSING_ISSUE; free(result); return NULL; } result->version_major = version_major; result->version_minor = version_minor; result->version_patch = version_patch; strncpy(result->version, version_origin, 16); } if (result->version[15] != '\0' || result->version_major == 0) { if (rc_open != NULL) *rc_open = TREXIO_FAILURE; free(result); return NULL; } /* Mark the file as unsafe upon opening in UNSAFE 'u' mode */ if (mode == 'u') { rc = trexio_has_metadata_unsafe(result); if (rc == TREXIO_FAILURE) { if (rc_open != NULL) *rc_open = TREXIO_OPEN_ERROR; free(result); return NULL; } if (rc == TREXIO_HAS_NOT) { int64_t unsafe_val = 1; switch (back_end) { case TREXIO_TEXT: rc = trexio_text_write_metadata_unsafe(result, unsafe_val); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_write_metadata_unsafe(result, unsafe_val); break; #else if (rc_open != NULL) *rc_open = TREXIO_BACK_END_MISSING; free(result); return NULL; #endif } } if (rc != TREXIO_SUCCESS) { if (rc_open != NULL) *rc_open = rc; free(result); return NULL; } } /* Exit upon success */ if (rc_open != NULL) *rc_open = TREXIO_SUCCESS; return result; }
2.5.2 Fortran
interface integer(trexio_t) function trexio_open_c (filename, mode, back_end, rc_open) bind(C, name="trexio_open") use, intrinsic :: iso_c_binding import character(kind=c_char), dimension(*) :: filename character(kind=c_char), intent(in), value :: mode integer(trexio_back_end_t), intent(in), value :: back_end integer(trexio_exit_code), intent(out) :: rc_open end function trexio_open_c end interface
2.5.3 Python
def _open(file_name: str, mode: str, back_end: int): """Create TREXIO file or open existing one. Parameters: file_name: str Name of the TREXIO file mode: str One of the currently supported ~open~ modes (e.g. 'w', 'r') back_end: int One of the currently supported TREXIO back ends (e.g. TREXIO_HDF5, TREXIO_TEXT) Return: SWIG object of type trexio_s. Examples: >>> from trexio import open as tr_open >>> trex_file = tr_open("example.h5", "w", TREXIO_HDF5) """ # The new trexio_open function is capable of returning error code which SWIG can append to the output trexio_s file struct # However, if trexio_s* == NULL, then SWIG returns only an error code rc_open instead of a list [trexio_s, rc_open] # Thus, the following try/except sequence is needed try: return_obj = pytr.trexio_open(file_name, mode, back_end) assert return_obj is not None if isinstance(return_obj, int): raise Error(return_obj) else: rc_open = return_obj[1] # this is a sanity check in case the code evolves and SWIG issue is patched if rc_open == TREXIO_SUCCESS: trexio_file = return_obj[0] assert trexio_file is not None except AssertionError: raise Exception(f"Could not open TREXIO file {file_name} using trexio_open function. The return value is None (NULL pointer).") return trexio_file
2.5.4 Zero-based versus one-based arrays of indices
Because arrays are zero-based in Fortran, we need to set a flag to know if we need to shift by 1 arrays of indices.
trexio_exit_code trexio_set_one_based(trexio_t* file) { if (file == NULL) return TREXIO_FILE_ERROR; file->one_based = true; return TREXIO_SUCCESS; }
interface integer(trexio_exit_code) function trexio_set_one_based(trex_file) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file end function trexio_set_one_based end interface
2.6 File closing
trexio_close
closes an existing trexio_t
file.
input parameters:
file
– TREXIO file handle.
output:
trexio_exit_code
exit code.
2.6.1 C
trexio_exit_code trexio_close (trexio_t* file) { if (file == NULL) return TREXIO_FILE_ERROR; trexio_exit_code rc = TREXIO_FAILURE; assert(file->back_end < TREXIO_INVALID_BACK_END); /* Things to be done before closing the file in the back-end */ rc = trexio_pre_close(file); if (rc != TREXIO_SUCCESS) return rc; /* Terminate the back end */ switch (file->back_end) { case TREXIO_TEXT: rc = trexio_text_deinit(file); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_deinit(file); break; #else FREE(file); return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: rc = trexio_json_deinit(file); break; */ } if (rc != TREXIO_SUCCESS) { FREE(file); return rc; } /* File unlocking */ rc = TREXIO_UNLOCK_ERROR; switch (file->back_end) { case TREXIO_TEXT: rc = trexio_text_unlock(file); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = TREXIO_SUCCESS; break; #else FREE(file); return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: rc = trexio_json_unlock(file); break; */ } /* Terminate front end */ int irc = pthread_mutex_destroy( &(file->thread_lock) ); free(file); if (irc != 0) return TREXIO_ERRNO; if (rc != TREXIO_SUCCESS) return rc; return TREXIO_SUCCESS; }
2.6.2 Fortran
interface integer(trexio_exit_code) function trexio_close (trex_file) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file end function trexio_close end interface
2.6.3 Python
def _close(trexio_file): """Close TREXIO file. Parameter is a ~trexio_file~ object that has been created by a call to ~open~ function. """ rc = pytr.trexio_close(trexio_file) if rc != TREXIO_SUCCESS: raise Error(rc)
2.7 File existence
trexio_inquire
check whether TREXIO file exists.
input parameters:
file_name
- string containing file name
output:
trexio_exit_code
exit code.
It returns:
TREXIO_SUCCESS
if thefile_name
exists and if it correspond to a valid TREXIO file (i.e. a directory OR an HDF5 file)TREXIO_FILE_ERROR
iffile_name
exists but it is not a TREXIO fileTREXIO_FAILURE
otherwise
Also, there is an implicit way to have the aforementioned functionality.
Attempt to open a non-existing file with trexio_open
function will result in a TREXIO_OPEN_ERROR
exit code
(see the modified value that has been passed as a 4-th argument to trexio_open
).
You can see examples of both functionalities in test_f.f90
(search for calls with _void
suffix).
2.7.1 C
trexio_exit_code trexio_inquire (const char* file_name) { if (file_name == NULL || file_name[0] == '\0') return TREXIO_INVALID_ARG_1; /* First check if the TREXIO file exists and if it is a directory */ trexio_exit_code rc_text = trexio_text_inquire(file_name); #ifdef HAVE_HDF5 /* FILE_ERROR here means that the file exists but it is not a directory -> check with HDF5 */ if (rc_text == TREXIO_FILE_ERROR) { trexio_exit_code rc_hdf5 = trexio_hdf5_inquire(file_name); return rc_hdf5; /* If rc_text is TREXIO_SUCCESS -> file is a TREXIO directory; TREXIO_FAILURE -> file/directory does not exist */ } else { return rc_text; } #else return rc_text; #endif }
2.7.2 Fortran
The function below is a C binding.
The front end Fortran function for trexio_inquire
can be found in the Fortran helper/wrapper functions
.
interface integer(trexio_exit_code) function trexio_inquire_c (filename) bind(C, name="trexio_inquire") use, intrinsic :: iso_c_binding import character(kind=c_char), dimension(*) :: filename end function trexio_inquire_c end interface
2.7.3 Python
def _inquire(file_name: str) -> bool: """Check whether ~file_name~ TREXIO file exists. """ rc = pytr.trexio_inquire(trexio_file_name) if rc == TREXIO_SUCCESS: return True elif rc == TREXIO_FAILURE: return False else: raise Error(rc)
2.8 File state
trexio_set_state
set an existing trexio_t
file handle to a given state.
trexio_get_state
returns current sate of the trexio_t
file handle.
input parameters:
file
– TREXIO file handle.
state
– int32_t
number of state.
output:
trexio_exit_code
exit code.
2.8.1 C
trexio_exit_code trexio_set_state (trexio_t* file, const int32_t num) { if (file == NULL) return TREXIO_INVALID_ARG_1; file->state = num; return TREXIO_SUCCESS; } trexio_exit_code trexio_get_state (trexio_t* file, int32_t* const num) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (num == NULL) return TREXIO_INVALID_ARG_2; *num = file->state; return TREXIO_SUCCESS; }
2.8.2 Fortran
interface integer(trexio_exit_code) function trexio_set_state (trex_file, state) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file integer(c_int32_t), intent(in), value :: state end function trexio_set_state end interface interface integer(trexio_exit_code) function trexio_get_state (trex_file, state) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file integer(c_int32_t), intent(out) :: state end function trexio_get_state end interface
2.8.3 Python
See TREXIO File Python class.
2.9 Tasks to be done before closing
trexio_exit_code trexio_pre_close (trexio_t* file) { if (file == NULL) return TREXIO_FILE_ERROR; trexio_exit_code rc; /* Check consistency between number of determinants and coefficients stored in the file */ if (file->version_major >= 2 && file->version_minor >= 2) { bool has_det = (trexio_has_determinant_list(file) == TREXIO_SUCCESS); bool has_coeff = (trexio_has_determinant_coefficient(file) == TREXIO_SUCCESS); int64_t ndet, ncoeff; if (has_det && has_coeff) { rc = trexio_read_determinant_num_64(file, &ndet); if (rc != TREXIO_SUCCESS) return rc; rc = trexio_read_determinant_coefficient_size(file, &ncoeff); if (rc != TREXIO_SUCCESS) return rc; /* Maybe be even more direct and use assert here so that the user's code crushes in case of inconsistency */ if (ndet != ncoeff) return TREXIO_INVALID_DETERMINANT_NUM; } } /* Up-spin and down-spin electrons */ int32_t nup, ndn, nelec; bool has_up = (trexio_has_electron_up_num(file) == TREXIO_SUCCESS); bool has_dn = (trexio_has_electron_dn_num(file) == TREXIO_SUCCESS); bool has_updn = (trexio_has_electron_num(file) == TREXIO_SUCCESS); if (file->mode != 'r') { if (has_updn && has_up && has_dn) { rc = trexio_read_electron_up_num(file, &nup); if (rc != TREXIO_SUCCESS) return rc; rc = trexio_read_electron_dn_num(file, &ndn); if (rc != TREXIO_SUCCESS) return rc; rc = trexio_read_electron_num(file, &nelec); if (rc != TREXIO_SUCCESS) return rc; if (nelec != nup + ndn) { if (file->mode == 'u') { nelec = nup + ndn; rc = trexio_write_electron_num(file, nelec); if (rc != TREXIO_SUCCESS) return rc; } else { return TREXIO_INVALID_ELECTRON_NUM; } } } else if (has_up && has_dn) { rc = trexio_read_electron_up_num(file, &nup); if (rc != TREXIO_SUCCESS) return rc; rc = trexio_read_electron_dn_num(file, &ndn); if (rc != TREXIO_SUCCESS) return rc; nelec = nup + ndn; rc = trexio_write_electron_num(file, nelec); if (rc != TREXIO_SUCCESS) return rc; } else if (has_up) { rc = trexio_read_electron_up_num(file, &nup); if (rc != TREXIO_SUCCESS) return rc; ndn = 0; rc = trexio_write_electron_dn_num(file, ndn); if (rc != TREXIO_SUCCESS) return rc; nelec = nup; rc = trexio_write_electron_num(file, nelec); if (rc != TREXIO_SUCCESS) return rc; } else if (has_dn) { rc = trexio_read_electron_dn_num(file, &ndn); if (rc != TREXIO_SUCCESS) return rc; nup = 0; rc = trexio_write_electron_up_num(file, nup); if (rc != TREXIO_SUCCESS) return rc; nelec = ndn; rc = trexio_write_electron_num(file, nelec); if (rc != TREXIO_SUCCESS) return rc; } } return TREXIO_SUCCESS; }
3 Templates for front end
3.1 Description
Consider the following block of trex.json
:
{ "nucleus": { "num" : [ "int" , [ ] ] , "charge" : [ "float", [ "nucleus.num" ] ] , "coord" : [ "float", [ "nucleus.num", "3" ] ] , "label" : [ "str" , [ "nucleus.num" ] ] , "point_group" : [ "str" , [ ] ] } }
TREXIO
is generated automatically by the generator.py
Python
script based on the tree-like configuration provided in the
trex.json
file. Because of that, generalized templates can be
implemented and re-used. This approach minimizes the number of bugs
as compared with manual copy-paste-modify scheme.
All templates presented below use the $var$
notation to indicate
the variable, which will be replaced by the
generator.py
. Sometimes the upper case is used, i.e. $VAR$
(for
example, in #define
statements). More detailed description of
each variable can be found below:
Template variable | Description | Example |
---|---|---|
$group$ |
Name of the group | nucleus |
$group_num$ |
Name of the numerical attribute (scalar) | nucleus_num |
$group_str$ |
Name of the string attribute (scalar) | nucleus_point_group |
$group_dset$ |
Name of the dataset (vector/matrix/tensor) | nucleus_coord |
$group_dset_rank$ |
Rank of the dataset | 2 |
$group_dset_dim$ |
Selected dimension of the dataset | nucleus_num |
$group_dset_dim_list$ |
All dimensions of the dataset | {nucleus_num, 3} |
$group_dset_dtype$ |
Basic type of the dataset (int/float/char) | float |
$group_dset_h5_dtype$ |
Type of the dataset in HDF5 | double |
$group_dset_format_scanf$ |
Input type of the dataset in TEXT [fscanf] | %lf |
$group_dset_format_printf$ |
Output type of the dataset in TEXT [fprintf] | %24.16e |
$group_dset_dtype_default$ |
Default datatype of the dataset [C] | double/int32_t |
$group_dset_dtype_single$ |
Single precision datatype of the dataset [C] | float/int32_t |
$group_dset_dtype_double$ |
Double precision datatype of the dataset [C] | double/int64_t |
$group_dset_f_dtype_default$ |
Default datatype of the dataset [Fortran] | real(c_double)/integer(c_int32_t) |
$group_dset_f_dtype_single$ |
Single precision datatype of the dataset [Fortran] | real(c_float)/integer(c_int32_t) |
$group_dset_f_dtype_double$ |
Double precision datatype of the dataset [Fortran] | real(c_double)/integer(c_int64_t) |
$group_dset_f_dims$ |
Dimensions in Fortran | (:,:) |
$group_dset_py_dtype$ |
Standard datatype of the dataset [Python] | float/int |
$default_prec$ |
Default precision for read/write without suffix [C] | 64/32 |
$is_index$ |
Expands to true if dataset has a type index [C] |
true/false |
Some of the aforementioned template variables with group_dset
prefix are duplicated with group_num
prefix,
e.g. you might find \(group_num_dtype_double\) in the templates corresponding to numerical attributes.
The expanding values are the same as for group_dset
and thus are not listed in the table above.
Note: parent group name is always added to the child objects upon
construction of TREXIO (e.g. num
of nucleus
group becomes
nucleus_num
and should be accessed accordingly within TREXIO).
TREXIO generator parses the trex.json
file. TREXIO operates with
names of variables based on the 1-st (parent group) and 2-nd (child
object) levels of trex.json
. The parsed data is divided in 2
parts:
- Single attributes. These can be numerical values or strings.
- Datasets. These can be vectors, matrices or tensors. The types are indicated in
trex.json
. Currently supported data types: int, float and strings.
For each of the aforementioned objects, TREXIO provides has, read and write functionality. TREXIO supports I/O with single or double precision for integer and floating point numbers.
Note: single integer attributes that contain num
in their name (e.g. nucleus_num
) are
considered dimensioning variables and cannot be negative or 0. An attempt to write negative or 0
value will result in TREXIO_INVALID_ARG_2
exit code.
3.2 Templates for front end has/read/write a single numerical attribute
3.2.1 Introduction
This section concerns API calls related to numerical attributes, namely single value of int/float types.
Function name | Description | Precision |
---|---|---|
trexio_has_$group_num$ |
Check if an attribute exists in a file | --- |
trexio_read_$group_num$ |
Read a attribute | Single |
trexio_write_$group_num$ |
Write a attribute | Single |
trexio_read_$group_num$_32 |
Read a attribute | Single |
trexio_write_$group_num$_32 |
Write a attribute | Single |
trexio_read_$group_num$_64 |
Read a attribute | Double |
trexio_write_$group_num$_64 |
Write a attribute | Double |
3.2.2 C templates for front end
The C
templates that correspond to each of the abovementioned
functions can be found below. First parameter is the TREXIO
file
handle. Second parameter is the variable to be written/read
to/from the TREXIO
file (except for trexio_has_
functions).
Suffixes _32
and _64
correspond to API calls dealing with
single and real(cdouble), respectively. The basic
(non-suffixed) API call on dimensioning variables deals with single
precision (see Table above).
3.2.2.1 Function declarations
3.2.2.2 Source code for double precision functions
trexio_exit_code trexio_read_$group_num$_64 (trexio_t* const file, $group_num_dtype_double$* const num) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (num == NULL) return TREXIO_INVALID_ARG_2; if (trexio_has_$group_num$(file) != TREXIO_SUCCESS) return TREXIO_ATTR_MISSING; switch (file->back_end) { case TREXIO_TEXT: return trexio_text_read_$group_num$(file, num); case TREXIO_HDF5: #ifdef HAVE_HDF5 return trexio_hdf5_read_$group_num$(file, num); #else return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: return trexio_json_read_$group_num$(file, num); */ } return TREXIO_FAILURE; }
trexio_exit_code trexio_write_$group_num$_64 (trexio_t* const file, const $group_num_dtype_double$ num) { if (file == NULL) return TREXIO_INVALID_ARG_1; //if (num <= 0L) return TREXIO_INVALID_NUM; /* this line is uncommented by the generator for dimensioning variables; do NOT remove! */ if (trexio_has_$group_num$(file) == TREXIO_SUCCESS && file->mode != 'u') return TREXIO_ATTR_ALREADY_EXISTS; switch (file->back_end) { case TREXIO_TEXT: return trexio_text_write_$group_num$(file, num); case TREXIO_HDF5: #ifdef HAVE_HDF5 return trexio_hdf5_write_$group_num$(file, num); #else return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: return trexio_json_write_$group_num$(file, num); */ } return TREXIO_FAILURE; }
3.2.2.3 Source code for single precision functions
trexio_exit_code trexio_read_$group_num$_32 (trexio_t* const file, $group_num_dtype_single$* const num) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (num == NULL) return TREXIO_INVALID_ARG_2; if (trexio_has_$group_num$(file) != TREXIO_SUCCESS) return TREXIO_ATTR_MISSING; $group_num_dtype_double$ num_64 = 0; trexio_exit_code rc = TREXIO_GROUP_READ_ERROR; switch (file->back_end) { case TREXIO_TEXT: rc = trexio_text_read_$group_num$(file, &num_64); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_read_$group_num$(file, &num_64); break; #else rc = TREXIO_BACK_END_MISSING; break ; #endif /* case TREXIO_JSON: rc =trexio_json_read_$group_num$(file, &num_64); break; */ } if (rc != TREXIO_SUCCESS) return rc; *num = ($group_num_dtype_single$) num_64; return TREXIO_SUCCESS; }
trexio_exit_code trexio_write_$group_num$_32 (trexio_t* const file, const $group_num_dtype_single$ num) { if (file == NULL) return TREXIO_INVALID_ARG_1; //if (num <= 0) return TREXIO_INVALID_NUM; /* this line is uncommented by the generator for dimensioning variables; do NOT remove! */ if (trexio_has_$group_num$(file) == TREXIO_SUCCESS && file->mode != 'u') return TREXIO_ATTR_ALREADY_EXISTS; switch (file->back_end) { case TREXIO_TEXT: return trexio_text_write_$group_num$(file, ($group_num_dtype_double$) num); case TREXIO_HDF5: #ifdef HAVE_HDF5 return trexio_hdf5_write_$group_num$(file, ($group_num_dtype_double$) num); #else return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: return trexio_json_write_$group_num$(file, ($group_num_dtype_double$) num); break; */ } return TREXIO_FAILURE; }
3.2.2.4 Source code for default functions
trexio_exit_code trexio_read_$group_num$ (trexio_t* const file, $group_num_dtype_default$* const num) { return trexio_read_$group_num$_$default_prec$(file, num); }
trexio_exit_code trexio_write_$group_num$ (trexio_t* const file, const $group_num_dtype_default$ num) { return trexio_write_$group_num$_$default_prec$(file, num); }
trexio_exit_code trexio_has_$group_num$ (trexio_t* const file) { if (file == NULL) return TREXIO_INVALID_ARG_1; assert(file->back_end < TREXIO_INVALID_BACK_END); switch (file->back_end) { case TREXIO_TEXT: return trexio_text_has_$group_num$(file); case TREXIO_HDF5: #ifdef HAVE_HDF5 return trexio_hdf5_has_$group_num$(file); #else return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: return trexio_json_has_$group_num$(file); break; */ } return TREXIO_FAILURE; }
3.2.3 Fortran templates for front end
The Fortran
templates that provide an access to the C
API calls from Fortran.
These templates are based on the use of iso_c_binding
. Pointers have to be passed by value.
interface integer(trexio_exit_code) function trexio_write_$group_num$_64 (trex_file, num) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file $group_num_f_dtype_double$, intent(in), value :: num end function trexio_write_$group_num$_64 end interface
interface integer(trexio_exit_code) function trexio_read_$group_num$_64 (trex_file, num) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file $group_num_f_dtype_double$, intent(out) :: num end function trexio_read_$group_num$_64 end interface
interface integer(trexio_exit_code) function trexio_write_$group_num$_32 (trex_file, num) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file $group_num_f_dtype_single$, intent(in), value :: num end function trexio_write_$group_num$_32 end interface
interface integer(trexio_exit_code) function trexio_read_$group_num$_32 (trex_file, num) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file $group_num_f_dtype_single$, intent(out) :: num end function trexio_read_$group_num$_32 end interface
interface integer(trexio_exit_code) function trexio_write_$group_num$ (trex_file, num) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file $group_num_f_dtype_default$, intent(in), value :: num end function trexio_write_$group_num$ end interface
interface integer(trexio_exit_code) function trexio_read_$group_num$ (trex_file, num) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file $group_num_f_dtype_default$, intent(out) :: num end function trexio_read_$group_num$ end interface
interface integer(trexio_exit_code) function trexio_has_$group_num$ (trex_file) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file end function trexio_has_$group_num$ end interface
3.2.4 Python templates for front end
def write_$group_num$(trexio_file, num_w: $group_num_py_dtype$) -> None: """Write the $group_num$ variable in the TREXIO file. Parameters: trexio_file: TREXIO File object. num_w: int Value of the $group_num$ variable to be written. Raises: - Exception from AssertionError if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message using trexio_string_of_error. - Exception from some other error (e.g. RuntimeError). """ rc = pytr.trexio_write_$group_num$(trexio_file.pytrexio_s, num_w) if rc != TREXIO_SUCCESS: raise Error(rc)
def read_$group_num$(trexio_file) -> $group_num_py_dtype$: """Read the $group_num$ variable from the TREXIO file. Parameter is a ~TREXIO File~ object that has been created by a call to ~open~ function. Returns: ~num_r~: int Integer value of $group_num$ variable read from ~trexio_file~. Raises: - Exception from AssertionError if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message using trexio_string_of_error. - Exception from some other error (e.g. RuntimeError). """ rc, num_r = pytr.trexio_read_$group_num$(trexio_file.pytrexio_s) if rc != TREXIO_SUCCESS: raise Error(rc) return num_r
def has_$group_num$(trexio_file) -> bool: """Check that $group_num$ variable exists in the TREXIO file. Parameter is a ~TREXIO File~ object that has been created by a call to ~open~ function. Returns: True if the variable exists, False otherwise Raises: - trexio.Error if TREXIO return code ~rc~ is TREXIO_FAILURE and prints the error message using string_of_error. - Exception from some other error (e.g. RuntimeError). """ rc = pytr.trexio_has_$group_num$(trexio_file.pytrexio_s) if rc == TREXIO_FAILURE: raise Error(rc) return rc == TREXIO_SUCCESS
3.3 Templates for front end has/read/write a dataset of numerical data
3.3.1 Introduction
This section concerns API calls related to datasets.
Function name | Description | Precision |
---|---|---|
trexio_has_$group_dset$ |
Check if a dataset exists in a file | --- |
trexio_read_$group_dset$ |
Read a dataset in default precision | Double/Single for float/int |
trexio_write_$group_dset$ |
Write a dataset in default precision | Double/Single for float/int |
trexio_read_safe_$group_dset$ |
Read a bounded dataset | Double |
trexio_write_safe_$group_dset$ |
Write a bounded dataset | Double |
trexio_read_$group_dset$_32 |
Read a dataset in single precision | Single |
trexio_write_$group_dset$_32 |
Write a dataset in single precision | Single |
trexio_read_$group_dset$_64 |
Read a dataset in double precision | Double |
trexio_write_$group_dset$_64 |
Write a dataset in double precision | Double |
3.3.2 C templates for front end
The C templates that correspond to each of the abovementioned functions can be found below.
First parameter is the TREXIO
file handle. Second parameter is the variable to be written/read
to/from the TREXIO
file (except for trexio_has_
functions).
Suffixes _32
and _64
correspond to API calls dealing with single and double precision, respectively.
The basic (non-suffixed) API call on datasets deals with real(cdouble) (see Table above).
3.3.2.1 Function declarations
3.3.2.2 Source code for double precision functions
trexio_exit_code trexio_read_$group_dset$_64 (trexio_t* const file, $group_dset_dtype_double$* const $group_dset$) { if (file == NULL) return TREXIO_INVALID_ARG_1; if ($group_dset$ == NULL) return TREXIO_INVALID_ARG_2; if (trexio_has_$group_dset$(file) != TREXIO_SUCCESS) return TREXIO_DSET_MISSING; trexio_exit_code rc; int64_t $group_dset_dim$ = 0; /* Error handling for this call is added by the generator */ rc = trexio_read_$group_dset_dim$_64(file, &($group_dset_dim$)); if ($group_dset_dim$ == 0L) return TREXIO_INVALID_NUM; uint32_t rank = $group_dset_rank$; uint64_t dims[$group_dset_rank$] = {$group_dset_dim_list$}; assert(file->back_end < TREXIO_INVALID_BACK_END); rc = TREXIO_FAILURE; switch (file->back_end) { case TREXIO_TEXT: rc = trexio_text_read_$group_dset$(file, $group_dset$, rank, dims); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_read_$group_dset$(file, $group_dset$, rank, dims); break; #else rc = TREXIO_BACK_END_MISSING; break; #endif /* case TREXIO_JSON: rc = trexio_json_read_$group_dset$(file, $group_dset$, rank, dims); break; */ } if (rc != TREXIO_SUCCESS) return rc; /* Handle index type */ if ($is_index$) { uint64_t dim_size = 1; for (uint32_t i=0; i<rank; ++i){ dim_size *= dims[i]; } for (uint64_t i=0; i<dim_size; ++i){ $group_dset$[i] += ($group_dset_dtype_double$) 1; } } return TREXIO_SUCCESS; }
trexio_exit_code trexio_write_$group_dset$_64 (trexio_t* const file, const $group_dset_dtype_double$* $group_dset$) { if (file == NULL) return TREXIO_INVALID_ARG_1; assert(file->back_end < TREXIO_INVALID_BACK_END); if ($group_dset$ == NULL) return TREXIO_INVALID_ARG_2; if (trexio_has_$group_dset$(file) == TREXIO_SUCCESS && file->mode != 'u') return TREXIO_DSET_ALREADY_EXISTS; trexio_exit_code rc; int64_t $group_dset_dim$ = 0; /* Error handling for this call is added by the generator */ rc = trexio_read_$group_dset_dim$_64(file, &($group_dset_dim$)); if ($group_dset_dim$ == 0L) return TREXIO_INVALID_NUM; uint32_t rank = $group_dset_rank$; uint64_t dims[$group_dset_rank$] = {$group_dset_dim_list$}; if ($is_index$) { /* Handle index type : is_index = $is_index$ */ uint64_t dim_size = 1; for (uint32_t i=0; i<rank; ++i){ dim_size *= dims[i]; } $group_dset_dtype_double$* $group_dset$_p = CALLOC(dim_size, $group_dset_dtype_double$); if ($group_dset$_p == NULL) return TREXIO_ALLOCATION_FAILED; for (uint64_t i=0; i<dim_size; ++i){ $group_dset$_p[i] = $group_dset$[i] - ($group_dset_dtype_double$) 1; } rc = TREXIO_FAILURE; switch (file->back_end) { case TREXIO_TEXT: rc = trexio_text_write_$group_dset$(file, (const $group_dset_dtype_double$*) $group_dset$_p, rank, dims); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_write_$group_dset$(file, (const $group_dset_dtype_double$*) $group_dset$_p, rank, dims); break; #else rc = TREXIO_BACK_END_MISSING; break; #endif /* case TREXIO_JSON: rc = trexio_json_write_$group_dset$(file, $group_dset$_p, rank, dims); break; */ FREE($group_dset$_p); } } else { rc = TREXIO_FAILURE; switch (file->back_end) { case TREXIO_TEXT: rc = trexio_text_write_$group_dset$(file, $group_dset$, rank, dims); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_write_$group_dset$(file, $group_dset$, rank, dims); break; #else rc = TREXIO_BACK_END_MISSING; break; #endif /* case TREXIO_JSON: rc = trexio_json_write_$group_dset$(file, $group_dset$, rank, dims); break; */ } } return rc; }
3.3.2.3 Source code for single precision functions
trexio_exit_code trexio_read_$group_dset$_32 (trexio_t* const file, $group_dset_dtype_single$* const $group_dset$) { if (file == NULL) return TREXIO_INVALID_ARG_1; if ($group_dset$ == NULL) return TREXIO_INVALID_ARG_2; if (trexio_has_$group_dset$(file) != TREXIO_SUCCESS) return TREXIO_DSET_MISSING; trexio_exit_code rc; int64_t $group_dset_dim$ = 0; /* Error handling for this call is added by the generator */ rc = trexio_read_$group_dset_dim$_64(file, &($group_dset_dim$)); if ($group_dset_dim$ == 0L) return TREXIO_INVALID_NUM; uint32_t rank = $group_dset_rank$; uint64_t dims[$group_dset_rank$] = {$group_dset_dim_list$}; uint64_t dim_size = 1; for (uint32_t i=0; i<rank; ++i){ dim_size *= dims[i]; } $group_dset_dtype_double$* $group_dset$_64 = CALLOC(dim_size, $group_dset_dtype_double$); if ($group_dset$_64 == NULL) return TREXIO_ALLOCATION_FAILED; assert(file->back_end < TREXIO_INVALID_BACK_END); rc = TREXIO_FAILURE; switch (file->back_end) { case TREXIO_TEXT: rc = trexio_text_read_$group_dset$(file, $group_dset$_64, rank, dims); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_read_$group_dset$(file, $group_dset$_64, rank, dims); break; #else rc = TREXIO_BACK_END_MISSING; break; #endif /* case TREXIO_JSON: rc = trexio_json_read_$group_dset$(file, $group_dset$_64, rank, dims); break; */ } if (rc != TREXIO_SUCCESS){ FREE($group_dset$_64); return rc; } if ($is_index$) { for (uint64_t i=0; i<dim_size; ++i){ $group_dset$[i] = ($group_dset_dtype_single$) $group_dset$_64[i] + 1; } } else { for (uint64_t i=0; i<dim_size; ++i){ $group_dset$[i] = ($group_dset_dtype_single$) $group_dset$_64[i]; } } FREE($group_dset$_64); return TREXIO_SUCCESS; }
trexio_exit_code trexio_write_$group_dset$_32 (trexio_t* const file, const $group_dset_dtype_single$* $group_dset$) { if (file == NULL) return TREXIO_INVALID_ARG_1; if ($group_dset$ == NULL) return TREXIO_INVALID_ARG_2; if (trexio_has_$group_dset$(file) == TREXIO_SUCCESS && file->mode != 'u') return TREXIO_DSET_ALREADY_EXISTS; trexio_exit_code rc; int64_t $group_dset_dim$ = 0; /* Error handling for this call is added by the generator */ rc = trexio_read_$group_dset_dim$_64(file, &($group_dset_dim$)); if ($group_dset_dim$ == 0L) return TREXIO_INVALID_NUM; uint32_t rank = $group_dset_rank$; uint64_t dims[$group_dset_rank$] = {$group_dset_dim_list$}; uint64_t dim_size = 1; for (uint32_t i=0; i<rank; ++i){ dim_size *= dims[i]; } $group_dset_dtype_double$* $group_dset$_64 = CALLOC(dim_size, $group_dset_dtype_double$); if ($group_dset$_64 == NULL) return TREXIO_ALLOCATION_FAILED; /* A type conversion from single precision to double required since back end only accepts 64-bit data */ if ($is_index$) { for (uint64_t i=0; i<dim_size; ++i){ $group_dset$_64[i] = ($group_dset_dtype_double$) $group_dset$[i] - ($group_dset_dtype_double$) 1; } } else { for (uint64_t i=0; i<dim_size; ++i){ $group_dset$_64[i] = ($group_dset_dtype_double$) $group_dset$[i]; } } assert(file->back_end < TREXIO_INVALID_BACK_END); rc = TREXIO_FAILURE; switch (file->back_end) { case TREXIO_TEXT: rc = trexio_text_write_$group_dset$(file, $group_dset$_64, rank, dims); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_write_$group_dset$(file, $group_dset$_64, rank, dims); break; #else rc = TREXIO_BACK_END_MISSING; break; #endif /* case TREXIO_JSON: rc = trexio_json_write_$group_dset$(file, $group_dset$_64, rank, dims); break; */ } FREE($group_dset$_64); if (rc != TREXIO_SUCCESS) return rc; return TREXIO_SUCCESS; }
3.3.2.4 Source code for memory-safe functions
trexio_exit_code rc; int64_t $group_dset_dim$ = 0; /* Error handling for this call is added by the generator */ rc = trexio_read_$group_dset_dim$_64(file, &($group_dset_dim$)); if ($group_dset_dim$ == 0L) return TREXIO_INVALID_NUM; uint32_t rank = $group_dset_rank$; uint64_t dims[$group_dset_rank$] = {$group_dset_dim_list$}; /* The block below is specific to safe API as it checks the boundaries */ uint64_t dim_size = 1; for (uint32_t i=0; i<rank; ++i){ dim_size *= dims[i]; }
trexio_exit_code trexio_read_safe_$group_dset$_32 (trexio_t* const file, $group_dset_dtype_single$* const dset_out, const int64_t dim_out) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (dset_out == NULL) return TREXIO_INVALID_ARG_2; if (trexio_has_$group_dset$(file) != TREXIO_SUCCESS) return TREXIO_DSET_MISSING; trexio_exit_code rc; int64_t $group_dset_dim$ = 0; /* Error handling for this call is added by the generator */ rc = trexio_read_$group_dset_dim$_64(file, &($group_dset_dim$)); if ($group_dset_dim$ == 0L) return TREXIO_INVALID_NUM; uint32_t rank = $group_dset_rank$; uint64_t dims[$group_dset_rank$] = {$group_dset_dim_list$}; /* The block below is specific to safe API as it checks the boundaries */ uint64_t dim_size = 1; for (uint32_t i=0; i<rank; ++i){ dim_size *= dims[i]; } if (dim_out > (int64_t) dim_size) return TREXIO_UNSAFE_ARRAY_DIM; return trexio_read_$group_dset$_32(file, dset_out); }
trexio_exit_code trexio_write_safe_$group_dset$_32 (trexio_t* const file, const $group_dset_dtype_single$* dset_in, const int64_t dim_in) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (dset_in == NULL) return TREXIO_INVALID_ARG_2; if (trexio_has_$group_dset$(file) == TREXIO_SUCCESS && file->mode != 'u') return TREXIO_DSET_ALREADY_EXISTS; trexio_exit_code rc; int64_t $group_dset_dim$ = 0; /* Error handling for this call is added by the generator */ rc = trexio_read_$group_dset_dim$_64(file, &($group_dset_dim$)); if ($group_dset_dim$ == 0L) return TREXIO_INVALID_NUM; uint32_t rank = $group_dset_rank$; uint64_t dims[$group_dset_rank$] = {$group_dset_dim_list$}; /* The block below is specific to safe API as it checks the boundaries */ uint64_t dim_size = 1; for (uint32_t i=0; i<rank; ++i){ dim_size *= dims[i]; } if (dim_in > (int64_t) dim_size) return TREXIO_UNSAFE_ARRAY_DIM; return trexio_write_$group_dset$_32(file, dset_in); }
trexio_exit_code trexio_read_safe_$group_dset$_64 (trexio_t* const file, $group_dset_dtype_double$* const dset_out, const int64_t dim_out) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (dset_out == NULL) return TREXIO_INVALID_ARG_2; if (trexio_has_$group_dset$(file) != TREXIO_SUCCESS) return TREXIO_DSET_MISSING; trexio_exit_code rc; int64_t $group_dset_dim$ = 0; /* Error handling for this call is added by the generator */ rc = trexio_read_$group_dset_dim$_64(file, &($group_dset_dim$)); if ($group_dset_dim$ == 0L) return TREXIO_INVALID_NUM; uint32_t rank = $group_dset_rank$; uint64_t dims[$group_dset_rank$] = {$group_dset_dim_list$}; /* The block below is specific to safe API as it checks the boundaries */ uint64_t dim_size = 1; for (uint32_t i=0; i<rank; ++i){ dim_size *= dims[i]; } if (dim_out > (int64_t) dim_size) return TREXIO_UNSAFE_ARRAY_DIM; return trexio_read_$group_dset$_64(file, dset_out); }
trexio_exit_code trexio_write_safe_$group_dset$_64 (trexio_t* const file, const $group_dset_dtype_double$* dset_in, const int64_t dim_in) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (dset_in == NULL) return TREXIO_INVALID_ARG_2; if (trexio_has_$group_dset$(file) == TREXIO_SUCCESS && file->mode != 'u') return TREXIO_DSET_ALREADY_EXISTS; trexio_exit_code rc; int64_t $group_dset_dim$ = 0; /* Error handling for this call is added by the generator */ rc = trexio_read_$group_dset_dim$_64(file, &($group_dset_dim$)); if ($group_dset_dim$ == 0L) return TREXIO_INVALID_NUM; uint32_t rank = $group_dset_rank$; uint64_t dims[$group_dset_rank$] = {$group_dset_dim_list$}; /* The block below is specific to safe API as it checks the boundaries */ uint64_t dim_size = 1; for (uint32_t i=0; i<rank; ++i){ dim_size *= dims[i]; } if (dim_in > (int64_t) dim_size) return TREXIO_UNSAFE_ARRAY_DIM; return trexio_write_$group_dset$_64(file, dset_in); }
3.3.2.5 Source code for default functions
trexio_exit_code trexio_read_safe_$group_dset$ (trexio_t* const file, $group_dset_dtype_default$* const $group_dset$, const int64_t dim_out) { return trexio_read_safe_$group_dset$_$default_prec$(file, $group_dset$, dim_out); }
trexio_exit_code trexio_write_safe_$group_dset$ (trexio_t* const file, const $group_dset_dtype_default$* $group_dset$, const int64_t dim_in) { return trexio_write_safe_$group_dset$_$default_prec$(file, $group_dset$, dim_in); }
trexio_exit_code trexio_read_$group_dset$ (trexio_t* const file, $group_dset_dtype_default$* const $group_dset$) { return trexio_read_$group_dset$_$default_prec$(file, $group_dset$); }
trexio_exit_code trexio_write_$group_dset$ (trexio_t* const file, const $group_dset_dtype_default$* $group_dset$) { return trexio_write_$group_dset$_$default_prec$(file, $group_dset$); }
trexio_exit_code trexio_has_$group_dset$ (trexio_t* const file) { if (file == NULL) return TREXIO_INVALID_ARG_1; assert(file->back_end < TREXIO_INVALID_BACK_END); switch (file->back_end) { case TREXIO_TEXT: return trexio_text_has_$group_dset$(file); case TREXIO_HDF5: #ifdef HAVE_HDF5 return trexio_hdf5_has_$group_dset$(file); #else return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: return trexio_json_has_$group_dset$(file); */ } return TREXIO_FAILURE; }
3.3.3 Fortran templates for front end
The Fortran
templates that provide an access to the C
API calls from Fortran
.
These templates are based on the use of iso_c_binding
. Pointers have to be passed by value.
interface integer(trexio_exit_code) function trexio_write_$group_dset$_64 (trex_file, dset) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file $group_dset_f_dtype_double$, intent(in) :: dset$group_dset_f_dims$ end function trexio_write_$group_dset$_64 end interface
interface integer(trexio_exit_code) function trexio_read_$group_dset$_64 (trex_file, dset) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file $group_dset_f_dtype_double$, intent(out) :: dset$group_dset_f_dims$ end function trexio_read_$group_dset$_64 end interface
interface integer(trexio_exit_code) function trexio_write_$group_dset$_32 (trex_file, dset) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file $group_dset_f_dtype_single$, intent(in) :: dset$group_dset_f_dims$ end function trexio_write_$group_dset$_32 end interface
interface integer(trexio_exit_code) function trexio_read_$group_dset$_32 (trex_file, dset) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file $group_dset_f_dtype_single$, intent(out) :: dset$group_dset_f_dims$ end function trexio_read_$group_dset$_32 end interface
interface integer(trexio_exit_code) function trexio_write_$group_dset$ (trex_file, dset) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file $group_dset_f_dtype_default$, intent(in) :: dset$group_dset_f_dims$ end function trexio_write_$group_dset$ end interface
interface integer(trexio_exit_code) function trexio_read_$group_dset$ (trex_file, dset) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file $group_dset_f_dtype_default$, intent(out) :: dset$group_dset_f_dims$ end function trexio_read_$group_dset$ end interface
interface integer(trexio_exit_code) function trexio_has_$group_dset$ (trex_file) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file end function trexio_has_$group_dset$ end interface
3.3.4 Python templates for front end
def write_$group_dset$(trexio_file, dset_w) -> None: """Write the $group_dset$ array of numbers in the TREXIO file. Parameters: trexio_file: TREXIO File object. dset_w: list OR numpy.ndarray Array of $group_dset$ values to be written. If array data type does not correspond to int64 or float64, the conversion is performed. Raises: - trexio.Error if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message. - Exception from some other error (e.g. RuntimeError). """ doConversion = False doFlatten = False if not isinstance(dset_w, (list, tuple)): # if input array is not a list or tuple then it is probably a numpy array if isinstance(dset_w, np.ndarray) and (not dset_w.dtype==np.int64 or not dset_w.dtype==np.float64): doConversion = True if len(dset_w.shape) > 1: doFlatten = True if doConversion: dset_64 = np.$group_dset_py_dtype$64(dset_w).flatten() else: dset_flat = np.array(dset_w, dtype=np.$group_dset_py_dtype$64).flatten() else: if doConversion: dset_64 = np.$group_dset_py_dtype$64(dset_w) else: # if input array is a multidimensional list or tuple, we have to convert it try: doFlatten = True ncol = len(dset_w[0]) dset_flat = np.array(dset_w, dtype=np.$group_dset_py_dtype$64).flatten() except TypeError: doFlatten = False pass if doConversion: rc = pytr.trexio_write_safe_$group_dset$_64(trexio_file.pytrexio_s, dset_64) elif doFlatten: rc = pytr.trexio_write_safe_$group_dset$_64(trexio_file.pytrexio_s, dset_flat) else: rc = pytr.trexio_write_safe_$group_dset$_64(trexio_file.pytrexio_s, dset_w) if rc != TREXIO_SUCCESS: raise Error(rc)
def read_$group_dset$(trexio_file, dim = None, doReshape = None, dtype = None): """Read the $group_dset$ array of numbers from the TREXIO file. Parameters: trexio_file: TREXIO File object. dim (Optional): int Size of the block to be read from the file (i.e. how many items of $group_dset$ will be returned) If None, the function will read all necessary array dimensions from the file. dtype (Optional): type NumPy data type of the output (e.g. np.int32|int16 or np.float32|float16). If specified, the output array will be converted from the default double precision. doReshape (Optional): bool Flag to determine whether the output NumPy array has be reshaped or not. Be default, reshaping is performed based on the dimensions from the ~trex.json~ file. Otherwise, ~shape~ array (list or tuple) is used if provided by the user. Returns: ~dset_64~ if dtype is None or ~dset_converted~ otherwise: numpy.ndarray 1D NumPy array with ~dim~ elements corresponding to $group_dset$ values read from the TREXIO file. Raises: - trexio.Error if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message. - Exception from some other error (e.g. RuntimeError). """ if doReshape is None: doReshape = True # if dim is not specified, read dimensions from the TREXIO file dims_list = None if doReshape: $group_dset_dim$ = read_$group_dset_dim$(trexio_file) dims_list = [$group_dset_dim_list$] dim_real = 1 for i in range($group_dset_rank$): dim_real *= dims_list[i] if dim: if dim_real != dim: raise Error(TREXIO_UNSAFE_ARRAY_DIM) else: dim = dim_real shape = tuple(dims_list) if shape is None and doReshape: raise ValueError("Reshaping failure: shape is None.") rc, dset_64 = pytr.trexio_read_safe_$group_dset$_64(trexio_file.pytrexio_s, dim) if rc != TREXIO_SUCCESS: raise Error(rc) isConverted = False dset_converted = None if dtype is not None: try: assert isinstance(dtype, type) except AssertionError: raise TypeError("dtype argument has to be an instance of the type class (e.g. np.float32).") if not dtype==np.int64 or not dtype==np.float64: dset_converted = np.array(dset_64, dtype=dtype) isConverted = True # additional assert can be added here to check that read_safe functions returns numpy array of proper dimension if doReshape: # in-place reshaping did not work so I have to make a copy if isConverted: dset_reshaped = np.reshape(dset_converted, shape, order='C') else: dset_reshaped = np.reshape(dset_64, shape, order='C') if isConverted: return dset_converted elif doReshape: return dset_reshaped else: return dset_64
def has_$group_dset$(trexio_file) -> bool: """Check that $group_dset$ variable exists in the TREXIO file. Parameter is a ~TREXIO File~ object that has been created by a call to ~open~ function. Returns: True if the variable exists, False otherwise Raises: - trexio.Error if TREXIO return code ~rc~ is TREXIO_FAILURE and prints the error message using string_of_error. - Exception from some other error (e.g. RuntimeError). """ rc = pytr.trexio_has_$group_dset$(trexio_file.pytrexio_s) if rc == TREXIO_FAILURE: raise Error(rc) return rc == TREXIO_SUCCESS
3.4 Templates for front end has/read/write a dataset of sparse data
3.4.1 Introduction
Sparse data structures are used typically for large tensors such as
two-electron integrals. For example, in the trex.json
file sparse
arrays appear as for the eri
:
"ao_2e_int" : { "eri" : [ "float sparse", [ "ao.num", "ao.num", "ao.num", "ao.num" ] ] }
The electron repulsion integral (eri) \(\langle ij | kl \rangle\) is represented as a quartet of integers \((i,j,k,l)\) and a floating point value.
To store \(N\) integrals in the file, we store
- An array of quartets of integers
- An array of values (floats)
Both arrays have the same size, \(N\), the number of non-zero integrals. Knowing the maximum dimensions allows to check that the integers are in a valid range, and also lets the library choose the smallest integer representation to compress the storage.
Fortran uses 1-based array indexing, while C uses 0-based indexing. Internally, we use a 0-based representation but the Fortran binding does the appropriate conversion when reading or writing.
As the number of integrals to store can be prohibitively large, we provide the possibility to read/write the integrals in chunks. So the functions take two extra parameters:
offset_file
: how many integrals in the file should be skipped when reading/writing. An offset of zero implies to read the first integral.buffer_size
: the number of integrals to read/write. If EOF is encountered upon reading, thebuffer_size
is overwritten with the number of integrals that have been read before EOF and thetrexio_read_
function returnTREXIO_END
exit code instead ofTREXIO_SUCCESS
.
The storage of int
indices is internally compressed based on the maximum possible value of an index,
which is derived from the corresponding dimension of the sparse array (e.g. ao_num
is the upper bound
of indices in the aforementioned ao_2e_int_eri
dataset).
The upper bounds for different int
types (e.g. uint16_t
) can be found in the in the stdint.h
C library.
Currently implemented list of compressions based on the upper bound of indices can be found below:
Max value of indices | Internal representation (in the TREXIO file) |
---|---|
UINT8_MAX (e.g. \(< 255\)) |
8-bit unsigned int |
UINT16_MAX (e.g. \(< 65535\)) |
16-bit unsigned int |
Otherwise (e.g. \(\ge 65535\)) | 32-bit signed int |
This section concerns API calls related to sparse data structures.
Function name | Description | Precision |
---|---|---|
trexio_has_$group_dset$ |
Check if a sparse dset is present in a file | --- |
trexio_read_$group_dset$ |
Read indices and values of a sparse dset | Single/Double for indices/values |
trexio_read_$group_dset$_size |
Read the number of sparse data elements stored in the file | Double for size |
trexio_write_$group_dset$ |
Write indices and values of a sparse dset | Single/Double for indices/values |
trexio_read_safe_$group_dset$ |
Safe (bounded) read of indices and values (for Python API) | Single/Double for indices/values |
trexio_write_safe_$group_dset$ |
Safe (bounded) write of indices and values (for Python API) | Single/Double for indices/values |
3.4.2 C templates for front end
3.4.2.1 Function declarations
3.4.2.2 Source code for default functions
trexio_exit_code trexio_read_safe_$group_dset$(trexio_t* const file, const int64_t offset_file, int64_t* const buffer_size_read, int32_t* const index_sparse_read, const int64_t size_index_read, double* const value_sparse_read, const int64_t size_value_read ) { return trexio_read_$group_dset$(file, offset_file, buffer_size_read, index_sparse_read, value_sparse_read); } trexio_exit_code trexio_read_$group_dset$(trexio_t* const file, const int64_t offset_file, int64_t* const buffer_size, int32_t* const index_sparse, double* const value_sparse ) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (offset_file < 0L) return TREXIO_INVALID_ARG_2; if (*buffer_size <= 0L) return TREXIO_INVALID_ARG_3; if (index_sparse == NULL) return TREXIO_INVALID_ARG_4; if (value_sparse == NULL) return TREXIO_INVALID_ARG_5; if (trexio_has_$group_dset$(file) != TREXIO_SUCCESS) return TREXIO_DSET_MISSING; const uint32_t rank = $group_dset_rank$; // To be set by generator : number of indices int64_t size_max; // Max number of integrals (already in the file) trexio_exit_code rc; /* Read the max number of integrals stored in the file */ rc = trexio_read_$group_dset$_size(file, &size_max); if (rc != TREXIO_SUCCESS) return rc; int64_t num; rc = trexio_read_$group_dset_sparse_dim$_64(file, &num); if (rc != TREXIO_SUCCESS) return rc; // introduce a new variable which will be modified with the number of integrals being read if EOF is encountered int64_t eof_read_size = 0L; switch (file->back_end) { case TREXIO_TEXT: rc = trexio_text_read_$group_dset$(file, offset_file, *buffer_size, num, &eof_read_size, index_sparse, value_sparse); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_read_$group_dset$(file, offset_file, *buffer_size, num, &eof_read_size, index_sparse, value_sparse); break; #else rc = TREXIO_BACK_END_MISSING; break; #endif /* case TREXIO_JSON: return trexio_json_read_$group_dset$(...); break; */ default: rc = TREXIO_FAILURE; /* Impossible case */ break; } if (rc != TREXIO_SUCCESS && rc != TREXIO_END) return rc; if (rc == TREXIO_END) *buffer_size = eof_read_size; // shift indices to be one-based if Fortran API is used if (file->one_based) { // if EOF is reached - shift only indices that have been read, not an entire buffer uint64_t index_size = rank*(*buffer_size) ; for (uint64_t i=0; i<index_size; ++i){ index_sparse[i] += 1; } } return rc; }
trexio_exit_code trexio_read_$group_dset$_size(trexio_t* const file, int64_t* const size_max) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (size_max == NULL) return TREXIO_INVALID_ARG_2; if (trexio_has_$group_dset$(file) != TREXIO_SUCCESS) return TREXIO_DSET_MISSING; switch (file->back_end) { case TREXIO_TEXT: return trexio_text_read_$group_dset$_size(file, size_max); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 return trexio_hdf5_read_$group_dset$_size(file, size_max); break; #else return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: return trexio_json_read_$group_dset$_size(...); break; */ default: return TREXIO_FAILURE; /* Impossible case */ } }
trexio_exit_code trexio_write_safe_$group_dset$(trexio_t* const file, const int64_t offset_file, const int64_t buffer_size, const int32_t* index_sparse_write, const int64_t size_index_write, const double* value_sparse_write, const int64_t size_value_write ) { return trexio_write_$group_dset$(file, offset_file, buffer_size, index_sparse_write, value_sparse_write); } trexio_exit_code trexio_write_$group_dset$(trexio_t* const file, const int64_t offset_file, const int64_t buffer_size, const int32_t* index_sparse, const double* value_sparse ) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (offset_file < 0L) return TREXIO_INVALID_ARG_2; if (buffer_size <= 0L) return TREXIO_INVALID_ARG_3; if (index_sparse == NULL) return TREXIO_INVALID_ARG_4; if (value_sparse == NULL) return TREXIO_INVALID_ARG_5; const uint32_t rank = $group_dset_rank$; // To be set by generator : number of indices int64_t size_max=0L; // Max number of integrals (already in the file) trexio_exit_code rc; /* Read the max number of integrals stored in the file */ rc = trexio_read_$group_dset$_size(file, &size_max); if (rc != TREXIO_SUCCESS && rc != TREXIO_DSET_MISSING) return rc; if (rc == TREXIO_DSET_MISSING) size_max = 0L; int64_t num; rc = trexio_read_$group_dset_sparse_dim$_64(file, &num); if (rc != TREXIO_SUCCESS) return rc; // shift indices to be zero-based if Fortran API is used if (file->one_based) { uint64_t index_size = rank * buffer_size; int32_t* index_sparse_p = CALLOC(index_size, int32_t); if (index_sparse_p == NULL) return TREXIO_ALLOCATION_FAILED; for (uint64_t i=0; i<index_size; ++i){ index_sparse_p[i] = index_sparse[i] - 1; } switch (file->back_end) { case TREXIO_TEXT: rc = trexio_text_write_$group_dset$(file, offset_file, buffer_size, num, size_max, index_sparse_p, value_sparse); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_write_$group_dset$(file, offset_file, buffer_size, num, index_sparse_p, value_sparse); break; #else rc = TREXIO_BACK_END_MISSING; break; #endif /* case TREXIO_JSON: rc = trexio_json_write_$group_dset$(...); break; */ default: rc = TREXIO_FAILURE; /* Impossible case */ break; } FREE(index_sparse_p); } else { switch (file->back_end) { case TREXIO_TEXT: rc = trexio_text_write_$group_dset$(file, offset_file, buffer_size, num, size_max, index_sparse, value_sparse); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_write_$group_dset$(file, offset_file, buffer_size, num, index_sparse, value_sparse); break; #else rc = TREXIO_BACK_END_MISSING; break; #endif /* case TREXIO_JSON: rc = trexio_json_write_$group_dset$(...); break; */ default: rc = TREXIO_FAILURE; /* Impossible case */ break; } } return rc; }
trexio_exit_code trexio_has_$group_dset$ (trexio_t* const file) { if (file == NULL) return TREXIO_INVALID_ARG_1; assert(file->back_end < TREXIO_INVALID_BACK_END); switch (file->back_end) { case TREXIO_TEXT: return trexio_text_has_$group_dset$(file); case TREXIO_HDF5: #ifdef HAVE_HDF5 return trexio_hdf5_has_$group_dset$(file); #else return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: return trexio_json_has_$group_dset$(file); break; */ } return TREXIO_FAILURE; }
3.4.3 Fortran templates for front end
The Fortran
templates that provide an access to the C
API calls from Fortran
.
These templates are based on the use of iso_c_binding
. Pointers have to be passed by value.
interface integer(trexio_exit_code) function trexio_write_$group_dset$ (trex_file, & offset_file, buffer_size, & index_sparse, value_sparse) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file integer(c_int64_t), intent(in), value :: offset_file integer(c_int64_t), intent(in), value :: buffer_size integer(c_int32_t), intent(in) :: index_sparse(*) real(c_double), intent(in) :: value_sparse(*) end function trexio_write_$group_dset$ end interface interface integer(trexio_exit_code) function trexio_write_safe_$group_dset$ (trex_file, & offset_file, buffer_size, & index_sparse, index_size, & value_sparse, value_size) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file integer(c_int64_t), intent(in), value :: offset_file integer(c_int64_t), intent(in), value :: buffer_size integer(c_int32_t), intent(in) :: index_sparse(*) integer(c_int64_t), intent(in), value :: index_size real(c_double), intent(in) :: value_sparse(*) integer(c_int64_t), intent(in), value :: value_size end function trexio_write_safe_$group_dset$ end interface
interface integer(trexio_exit_code) function trexio_read_$group_dset$ (trex_file, & offset_file, buffer_size, & index_sparse, value_sparse) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file integer(c_int64_t), intent(in), value :: offset_file integer(c_int64_t), intent(inout) :: buffer_size integer(c_int32_t), intent(out) :: index_sparse(*) real(c_double), intent(out) :: value_sparse(*) end function trexio_read_$group_dset$ end interface interface integer(trexio_exit_code) function trexio_read_safe_$group_dset$ (trex_file, & offset_file, buffer_size, & index_sparse, index_size, & value_sparse, value_size) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file integer(c_int64_t), intent(in), value :: offset_file integer(c_int64_t), intent(inout) :: buffer_size integer(c_int32_t), intent(out) :: index_sparse(*) integer(c_int64_t), intent(in), value :: index_size real(c_double), intent(out) :: value_sparse(*) integer(c_int64_t), intent(in), value :: value_size end function trexio_read_safe_$group_dset$ end interface
interface integer(trexio_exit_code) function trexio_read_$group_dset$_size (trex_file, & size_max) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file integer(c_int64_t), intent(out) :: size_max end function trexio_read_$group_dset$_size end interface
interface integer(trexio_exit_code) function trexio_has_$group_dset$ (trex_file) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file end function trexio_has_$group_dset$ end interface
3.4.4 Python templates for front end
def write_$group_dset$(trexio_file: File, offset_file: int, buffer_size: int, indices: list, values: list) -> None: """Write the $group_dset$ indices and values in the TREXIO file. Parameters: trexio_file: TREXIO File object. offset_file: int The number of integrals to be skipped in the file when writing. buffer_size: int The number of integrals to write in the file from the provided sparse arrays. indices: list OR numpy.ndarray Array of $group_dset$ indices to be written. If array data type does not correspond to int32, the conversion is performed. values: list OR numpy.ndarray Array of $group_dset$ values to be written. If array data type does not correspond to float64, the conversion is performed. Raises: - trexio.Error if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message. - Exception from some other error (e.g. RuntimeError). """ if not isinstance(offset_file, int): raise TypeError("offset_file argument has to be an integer.") if not isinstance(buffer_size, int): raise TypeError("buffer_size argument has to be an integer.") if not isinstance(indices, (list, tuple, np.ndarray)): raise TypeError("indices argument has to be an array (list, tuple or NumPy ndarray).") if not isinstance(values, (list, tuple, np.ndarray)): raise TypeError("values argument has to be an array (list, tuple or NumPy ndarray).") convertIndices = False convertValues = False flattenIndices = False if isinstance(indices, np.ndarray): # convert to int32 if input indices are in a different precision if not indices.dtype==np.int32: convertIndices = True if len(indices.shape) > 1: flattenIndices = True if convertIndices: indices_32 = np.int32(indices).flatten() else: indices_32 = np.array(indices, dtype=np.int32).flatten() else: if convertIndices: indices_32 = np.int32(indices) else: # if input array is a multidimensional list or tuple, we have to convert it try: doFlatten = True # if list of indices is flat - the attempt to compute len(indices[0]) will raise a TypeError ncol = len(indices[0]) indices_32 = np.array(indices, dtype=np.int32).flatten() except TypeError: doFlatten = False pass if isinstance(values, np.ndarray): # convert to float64 if input values are in a different precision if not values.dtype==np.float64: convertValues = True if convertValues: values_64 = np.float64(values) if (convertIndices or flattenIndices) and convertValues: rc = pytr.trexio_write_safe_$group_dset$(trexio_file.pytrexio_s, offset_file, buffer_size, indices_32, values_64) elif (convertIndices or flattenIndices) and not convertValues: rc = pytr.trexio_write_safe_$group_dset$(trexio_file.pytrexio_s, offset_file, buffer_size, indices_32, values) elif not (convertIndices or flattenIndices) and convertValues: rc = pytr.trexio_write_safe_$group_dset$(trexio_file.pytrexio_s, offset_file, buffer_size, indices, values_64) else: rc = pytr.trexio_write_safe_$group_dset$(trexio_file.pytrexio_s, offset_file, buffer_size, indices, values) if rc != TREXIO_SUCCESS: raise Error(rc)
def read_$group_dset$(trexio_file: File, offset_file: int, buffer_size: int) -> tuple: """Read the $group_dset$ indices and values from the TREXIO file. Parameters: trexio_file: TREXIO File object. offset_file: int The number of integrals to be skipped in the file when reading. buffer_size: int The number of integrals to read from the file. Returns: (indices, values, n_int_read, eof_flag) tuple where - indices and values are NumPy arrays [numpy.ndarray] with the default int32 and float64 precision, respectively; - n_int_read [int] is the number of integrals read from the trexio_file (either strictly equal to buffer_size or less than buffer_size if EOF has been reached); - eof_flag [bool] is True when EOF has been reached (i.e. when call to low-level pytrexio API returns TREXIO_END) False otherwise. Raises: - Exception from AssertionError if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message using trexio_string_of_error. - Exception from some other error (e.g. RuntimeError). """ if not isinstance(offset_file, int): raise TypeError("offset_file argument has to be an integer.") if not isinstance(buffer_size, int): raise TypeError("buffer_size argument has to be an integer.") # read the number of integrals already in the file integral_num = read_$group_dset$_size(trexio_file) # additional modification needed to avoid allocating more memory than needed if EOF will be reached during read overflow = offset_file + buffer_size - integral_num eof_flag = False if overflow > 0: verified_size = buffer_size - overflow eof_flag = True else: verified_size = buffer_size # main call to the low-level (SWIG-wrapped) trexio_read function, which also requires the sizes of the output to be provided # as the last 2 arguments (for numpy arrays of indices and values, respectively) # read_buf_size contains the number of elements being read from the file, useful when EOF has been reached rc, n_int_read, indices, values = pytr.trexio_read_safe_$group_dset$(trexio_file.pytrexio_s, offset_file, verified_size, verified_size * $group_dset_rank$, verified_size) if rc != TREXIO_SUCCESS: raise Error(rc) if n_int_read == 0: raise ValueError("No integrals have been read from the file.") if indices is None or values is None: raise ValueError("Returned NULL array from the low-level pytrexio API.") # conversion to custom types can be performed on the user side, here we only reshape the returned flat array of indices according to group_dset_rank shape = tuple([verified_size, $group_dset_rank$]) indices_reshaped = np.reshape(indices, shape, order='C') return (indices_reshaped, values, n_int_read, eof_flag) def read_$group_dset$_size(trexio_file) -> int: """Read the number of $group_dset$ integrals stored in the TREXIO file. Parameter is a ~TREXIO File~ object that has been created by a call to ~open~ function. Returns: ~num_integral~: int Integer value of corresponding to the size of the $group_dset$ sparse array from ~trexio_file~. Raises: - Exception from AssertionError if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message using trexio_string_of_error. - Exception from some other error (e.g. RuntimeError). """ rc, num_integral = pytr.trexio_read_$group_dset$_size(trexio_file.pytrexio_s) if rc != TREXIO_SUCCESS: raise Error(rc) return num_integral
def has_$group_dset$(trexio_file) -> bool: """Check that $group_dset$ variable exists in the TREXIO file. Parameter is a ~TREXIO File~ object that has been created by a call to ~open~ function. Returns: True if the variable exists, False otherwise Raises: - trexio.Error if TREXIO return code ~rc~ is TREXIO_FAILURE and prints the error message using string_of_error. - Exception from some other error (e.g. RuntimeError). """ rc = pytr.trexio_has_$group_dset$(trexio_file.pytrexio_s) if rc == TREXIO_FAILURE: raise Error(rc) return rc == TREXIO_SUCCESS
3.5 Templates for front end has/read/write a dataset of strings
3.5.1 Introduction
This section concerns API calls related to datasets of strings.
Function name | Description |
---|---|
trexio_has_$group_dset$ |
Check if a dataset exists in a file |
trexio_read_$group_dset$ |
Read a dataset |
trexio_write_$group_dset$ |
Write a dataset |
3.5.2 C templates for front end
First parameter is the TREXIO
file handle. Second parameter is the variable to be written/read
to/from the TREXIO
file (except for trexio_has_
functions).
3.5.2.1 Function declarations
3.5.2.2 Source code for default functions
trexio_exit_code trexio_read_$group_dset$_low (trexio_t* const file, char* dset_out, const int32_t max_str_len) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (dset_out == NULL) return TREXIO_INVALID_ARG_2; if (max_str_len <= 0) return TREXIO_INVALID_ARG_3; if (trexio_has_$group_dset$(file) != TREXIO_SUCCESS) return TREXIO_DSET_MISSING; trexio_exit_code rc; int64_t $group_dset_dim$ = 0; /* Error handling for this call is added by the generator */ rc = trexio_read_$group_dset_dim$_64(file, &($group_dset_dim$)); if ($group_dset_dim$ == 0L) return TREXIO_INVALID_NUM; uint32_t rank = $group_dset_rank$; uint64_t dims[$group_dset_rank$] = {$group_dset_dim_list$}; assert(file->back_end < TREXIO_INVALID_BACK_END); switch (file->back_end) { case TREXIO_TEXT: return trexio_text_read_$group_dset$(file, dset_out, rank, dims, (uint32_t) max_str_len); case TREXIO_HDF5: #ifdef HAVE_HDF5 return trexio_hdf5_read_$group_dset$(file, dset_out, rank, dims, (uint32_t) max_str_len); #else return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: rc = trexio_json_read_$group_dset$(file, dset_out, rank, dims); */ } return TREXIO_FAILURE; } trexio_exit_code trexio_read_$group_dset$ (trexio_t* const file, char** dset_out, const int32_t max_str_len) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (dset_out == NULL) return TREXIO_INVALID_ARG_2; if (max_str_len <= 0) return TREXIO_INVALID_ARG_3; if (trexio_has_$group_dset$(file) != TREXIO_SUCCESS) return TREXIO_DSET_MISSING; assert(file->back_end < TREXIO_INVALID_BACK_END); trexio_exit_code rc; int64_t dset_dim = 0; /* Error handling for this call is added by the generator */ rc = trexio_read_$group_dset_dim$_64(file, &(dset_dim)); if (dset_dim == 0L) return TREXIO_INVALID_NUM; char* str_compiled = CALLOC(dset_dim*(max_str_len+1) + 1, char); if (str_compiled == NULL) return TREXIO_ALLOCATION_FAILED; rc = trexio_read_$group_dset$_low(file, str_compiled, max_str_len); if (rc != TREXIO_SUCCESS) { FREE(str_compiled); return rc; } for (uint64_t i=0; i < (uint64_t) dset_dim; i++) { char * pch; pch = i == 0 ? strtok(str_compiled, TREXIO_DELIM) : strtok(NULL, TREXIO_DELIM) ; if (pch == NULL) { FREE(str_compiled); return TREXIO_FAILURE; } strcpy(dset_out[i], ""); strcat(dset_out[i], pch); } FREE(str_compiled); return TREXIO_SUCCESS; }
trexio_exit_code trexio_write_$group_dset$_low (trexio_t* const file, char* dset_in, const int32_t max_str_len) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (dset_in == NULL) return TREXIO_INVALID_ARG_2; if (max_str_len <= 0) return TREXIO_INVALID_ARG_3; if (trexio_has_$group_dset$(file) == TREXIO_SUCCESS && file->mode != 'u') return TREXIO_DSET_ALREADY_EXISTS; trexio_exit_code rc; int64_t $group_dset_dim$ = 0; /* Error handling for this call is added by the generator */ rc = trexio_read_$group_dset_dim$_64(file, &($group_dset_dim$)); if ($group_dset_dim$ == 0L) return TREXIO_INVALID_NUM; uint32_t rank = $group_dset_rank$; uint64_t dims[$group_dset_rank$] = {$group_dset_dim_list$}; assert(file->back_end < TREXIO_INVALID_BACK_END); char* tmp_str = CALLOC(dims[0]*(max_str_len+1), char); if (tmp_str == NULL) return TREXIO_ALLOCATION_FAILED; char** dset_str = CALLOC(dims[0], char*); if (dset_str == NULL) { FREE(tmp_str); return TREXIO_ALLOCATION_FAILED; } /* parse the string using strtok */ for(uint64_t i=0; i<dims[0]; i++) { char* pch; pch = i == 0 ? strtok(dset_in, TREXIO_DELIM) : strtok(NULL, TREXIO_DELIM) ; if (pch == NULL) { FREE(dset_str[0]); FREE(dset_str); return TREXIO_FAILURE; } size_t pch_len = strlen(pch) + 1; if (pch_len > (size_t) max_str_len) { FREE(dset_str[0]); FREE(dset_str); return TREXIO_INVALID_STR_LEN; } dset_str[i] = tmp_str; strncpy(tmp_str, pch, pch_len); tmp_str += pch_len + 1; } rc = TREXIO_FAILURE; switch (file->back_end) { case TREXIO_TEXT: rc = trexio_text_write_$group_dset$(file, (const char**) dset_str, rank, dims); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_write_$group_dset$(file, (const char**) dset_str, rank, dims); break; #else rc =TREXIO_BACK_END_MISSING; break; #endif /* case TREXIO_JSON: rc = trexio_json_write_$group_dset$(file, dset, rank, dims); break; */ } FREE(dset_str[0]); FREE(dset_str); return rc; } trexio_exit_code trexio_write_$group_dset$ (trexio_t* const file, const char** dset_in, const int32_t max_str_len) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (dset_in == NULL) return TREXIO_INVALID_ARG_2; if (max_str_len <= 0) return TREXIO_INVALID_ARG_3; if (trexio_has_$group_dset$(file) == TREXIO_SUCCESS && file->mode != 'u') return TREXIO_DSET_ALREADY_EXISTS; assert(file->back_end < TREXIO_INVALID_BACK_END); trexio_exit_code rc; int64_t dset_dim = 0; /* Error handling for this call is added by the generator */ rc = trexio_read_$group_dset_dim$_64(file, &(dset_dim)); if (dset_dim == 0L) return TREXIO_INVALID_NUM; char* str_compiled = CALLOC(dset_dim*max_str_len + 1, char); if (str_compiled == NULL) return TREXIO_ALLOCATION_FAILED; strcpy(str_compiled, ""); for (uint64_t i=0; i < (uint64_t) dset_dim; i++) { strcat(str_compiled, dset_in[i]); strcat(str_compiled, TREXIO_DELIM); } rc = trexio_write_$group_dset$_low(file, str_compiled, max_str_len); FREE(str_compiled); return rc; }
trexio_exit_code trexio_has_$group_dset$ (trexio_t* const file) { if (file == NULL) return TREXIO_INVALID_ARG_1; assert(file->back_end < TREXIO_INVALID_BACK_END); switch (file->back_end) { case TREXIO_TEXT: return trexio_text_has_$group_dset$(file); case TREXIO_HDF5: #ifdef HAVE_HDF5 return trexio_hdf5_has_$group_dset$(file); #else return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: return trexio_json_has_$group_dset$(file); break; */ } return TREXIO_FAILURE; }
3.5.3 Fortran templates for front end
The Fortran
templates that provide an access to the C
API calls from Fortran
.
These templates are based on the use of iso_c_binding
. Pointers have to be passed by value.
interface integer(trexio_exit_code) function trexio_write_$group_dset$_low (trex_file, dset, max_str_len) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file character(kind=c_char), intent(in) :: dset(*) integer(c_int32_t), intent(in), value :: max_str_len end function trexio_write_$group_dset$_low end interface
interface integer(trexio_exit_code) function trexio_read_$group_dset$_low (trex_file, dset, max_str_len) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file character(kind=c_char), intent(out) :: dset(*) integer(c_int32_t), intent(in), value :: max_str_len end function trexio_read_$group_dset$_low end interface
interface integer(trexio_exit_code) function trexio_has_$group_dset$ (trex_file) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file end function trexio_has_$group_dset$ end interface
integer(trexio_exit_code) function trexio_read_$group_dset$ (trex_file, dset, max_str_len) implicit none integer(c_int64_t), intent(in), value :: trex_file integer(c_int32_t), intent(in), value :: max_str_len character(len=*), intent(inout) :: dset(*) character, allocatable :: str_compiled(:) integer(c_int64_t) :: $group_dset_dim$ integer(trexio_exit_code) :: rc rc = trexio_read_$group_dset_dim$_64(trex_file, $group_dset_dim$) if (rc /= TREXIO_SUCCESS) trexio_read_$group_dset$ = rc allocate(str_compiled($group_dset_dim$*(max_str_len+1)+1)) rc = trexio_read_$group_dset$_low(trex_file, str_compiled, max_str_len) if (rc /= TREXIO_SUCCESS) then deallocate(str_compiled) trexio_read_$group_dset$ = rc else call trexio_str2strarray(str_compiled, $group_dset_dim$, max_str_len, dset) deallocate(str_compiled) trexio_read_$group_dset$ = TREXIO_SUCCESS endif end function trexio_read_$group_dset$
integer(trexio_exit_code) function trexio_write_$group_dset$ (trex_file, dset, max_str_len) implicit none integer(c_int64_t), intent(in), value :: trex_file integer(c_int32_t), intent(in), value :: max_str_len character(len=*), intent(in) :: dset(*) character(len=:), allocatable :: str_compiled integer(c_int64_t) :: $group_dset_dim$ integer(trexio_exit_code) :: rc rc = trexio_read_$group_dset_dim$_64(trex_file, $group_dset_dim$) if (rc /= TREXIO_SUCCESS) then trexio_write_$group_dset$ = rc else call trexio_strarray2str(dset, $group_dset_dim$, max_str_len, str_compiled) trexio_write_$group_dset$ = trexio_write_$group_dset$_low(trex_file, str_compiled, max_str_len) endif end function trexio_write_$group_dset$
3.5.4 Python templates for front end
def write_$group_dset$(trexio_file, dset_w: list) -> None: """Write the $group_dset$ array of strings in the TREXIO file. Parameters: trexio_file: TREXIO File object. dset_w: list Array of $group_dset$ strings to be written. Raises: - Exception from AssertionError if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message using trexio_string_of_error. - Exception from some other error (e.g. RuntimeError). """ max_str_length = len(max(dset_w, key=len)) + 1 rc = pytr.trexio_write_$group_dset$(trexio_file.pytrexio_s, dset_w, max_str_length) if rc != TREXIO_SUCCESS: raise Error(rc)
def read_$group_dset$(trexio_file, dim = None) -> list: """Read the $group_dset$ array of strings from the TREXIO file. Parameters: trexio_file: TREXIO File object. dim (Optional): int Size of the block to be read from the file (i.e. how many items of $group_dset$ will be returned) If None, the function will read all necessary array dimensions from the file. Returns: ~dset_r~: list 1D list with ~dim~ elements corresponding to $group_dset$ strings read from the TREXIO file. Raises: - Exception from AssertionError if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message using trexio_string_of_error. - Exception from some other error (e.g. RuntimeError). """ $group_dset_dim$ = read_$group_dset_dim$(trexio_file) dims_list = [$group_dset_dim_list$] dim_real = 1 for i in range($group_dset_rank$): dim_real *= dims_list[i] if dim: if dim_real != dim: raise Error(TREXIO_UNSAFE_ARRAY_DIM) else: dim = dim_real rc, dset_1d_r = pytr.trexio_read_$group_dset$_low(trexio_file.pytrexio_s, PYTREXIO_MAX_STR_LENGTH) if rc != TREXIO_SUCCESS: raise Error(rc) dset_full = dset_1d_r.split(pytr.TREXIO_DELIM) dset_2d_r = [dset_full[i] for i in range(dim) if dset_full[i]] if not dset_2d_r: raise ValueError(f"Output of {read_$group_dset$.__name__} function cannot be an empty list.") return dset_2d_r
def has_$group_dset$(trexio_file) -> bool: """Check that $group_dset$ variable exists in the TREXIO file. Parameter is a ~TREXIO File~ object that has been created by a call to ~open~ function. Returns: True if the variable exists, False otherwise Raises: - trexio.Error if TREXIO return code ~rc~ is TREXIO_FAILURE and prints the error message using string_of_error. - Exception from some other error (e.g. RuntimeError). """ rc = pytr.trexio_has_$group_dset$(trexio_file.pytrexio_s) if rc == TREXIO_FAILURE: raise Error(rc) return rc == TREXIO_SUCCESS
3.6 Templates for front end has/read/write a single string attribute
3.6.1 Introduction
This section concerns API calls related to string attributes.
Function name | Description |
---|---|
trexio_has_$group_str$ |
Check if a string attribute exists in a file |
trexio_read_$group_str$ |
Read a string attribute |
trexio_write_$group_str$ |
Write a string attribute |
3.6.2 C templates for front end
3.6.2.1 Function declarations
3.6.2.2 Source code for default functions
trexio_exit_code trexio_read_$group_str$ (trexio_t* const file, char* const str_out, const int32_t max_str_len) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (str_out == NULL) return TREXIO_INVALID_ARG_2; if (max_str_len <= 0) return TREXIO_INVALID_ARG_3; if (trexio_has_$group_str$(file) != TREXIO_SUCCESS) return TREXIO_ATTR_MISSING; switch (file->back_end) { case TREXIO_TEXT: return trexio_text_read_$group_str$(file, str_out, (uint32_t) max_str_len); case TREXIO_HDF5: #ifdef HAVE_HDF5 return trexio_hdf5_read_$group_str$(file, str_out, (uint32_t) max_str_len); #else return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: return trexio_json_read_$group_str$(file, str); break; */ } return TREXIO_FAILURE; }
trexio_exit_code trexio_write_$group_str$ (trexio_t* const file, const char* str, const int32_t max_str_len) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (str == NULL) return TREXIO_INVALID_ARG_2; if (max_str_len <= 0) return TREXIO_INVALID_ARG_3; if (trexio_has_$group_str$(file) == TREXIO_SUCCESS && file->mode != 'u') return TREXIO_ATTR_ALREADY_EXISTS; size_t len_write = strlen(str); if ((size_t) max_str_len < len_write) return TREXIO_INVALID_STR_LEN; switch (file->back_end) { case TREXIO_TEXT: return trexio_text_write_$group_str$(file, str); case TREXIO_HDF5: #ifdef HAVE_HDF5 return trexio_hdf5_write_$group_str$(file, str); #else return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: return trexio_json_write_$group_str$(file, str); */ } return TREXIO_FAILURE; }
trexio_exit_code trexio_has_$group_str$ (trexio_t* const file) { if (file == NULL) return TREXIO_INVALID_ARG_1; assert(file->back_end < TREXIO_INVALID_BACK_END); switch (file->back_end) { case TREXIO_TEXT: return trexio_text_has_$group_str$(file); case TREXIO_HDF5: #ifdef HAVE_HDF5 return trexio_hdf5_has_$group_str$(file); #else return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: return trexio_json_has_$group_str$(file); */ } return TREXIO_FAILURE; }
3.6.3 Fortran templates for front end
The Fortran
templates that provide an access to the C
API calls from Fortran.
These templates are based on the use of iso_c_binding
. Pointers have to be passed by value.
interface integer(trexio_exit_code) function trexio_write_$group_str$_c (trex_file, str, max_str_len) & bind(C, name="trexio_write_$group_str$") use, intrinsic :: iso_c_binding import integer(trexio_t), intent(in), value :: trex_file character(kind=c_char), intent(in) :: str(*) integer(c_int32_t), intent(in), value :: max_str_len end function trexio_write_$group_str$_c end interface
interface integer(trexio_exit_code) function trexio_read_$group_str$_c (trex_file, str, max_str_len) & bind(C, name="trexio_read_$group_str$") use, intrinsic :: iso_c_binding import integer(trexio_t), intent(in), value :: trex_file character(kind=c_char), intent(out) :: str(*) integer(c_int32_t), intent(in), value :: max_str_len end function trexio_read_$group_str$_c end interface
interface integer(trexio_exit_code) function trexio_has_$group_str$ (trex_file) bind(C) use, intrinsic :: iso_c_binding import integer(trexio_t), intent(in), value :: trex_file end function trexio_has_$group_str$ end interface
integer(trexio_exit_code) function trexio_read_$group_str$ (trex_file, str, max_str_len) implicit none integer(trexio_t), intent(in), value :: trex_file integer(c_int32_t), intent(in), value :: max_str_len character, intent(out) :: str(*) trexio_read_$group_str$ = trexio_read_$group_str$_c(trex_file, str, max_str_len) end function trexio_read_$group_str$
integer(trexio_exit_code) function trexio_write_$group_str$ (trex_file, str, max_str_len) use, intrinsic :: iso_c_binding, only : c_null_char implicit none integer(trexio_t), intent(in), value :: trex_file integer(c_int32_t), intent(in), value :: max_str_len character(len=*), intent(in) :: str character(len=len_trim(str)+1) :: str_c str_c = trim(str) // c_null_char trexio_write_$group_str$ = trexio_write_$group_str$_c(trex_file, str_c, max_str_len) end function trexio_write_$group_str$
3.6.4 Python templates for front end
def write_$group_str$(trexio_file, str_w: str) -> None: """Write the $group_str$ variable in the TREXIO file. Parameters: trexio_file: TREXIO File object. str_w: str String corresponding to the $group_str$ variable to be written. Raises: - Exception from AssertionError if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message using trexio_string_of_error. - Exception from some other error (e.g. RuntimeError). """ max_str_length = len(str_w) + 1 rc = pytr.trexio_write_$group_str$(trexio_file.pytrexio_s, str_w, max_str_length) if rc != TREXIO_SUCCESS: raise Error(rc)
def read_$group_str$(trexio_file) -> str: """Read the $group_str$ variable from the TREXIO file. Parameter is a ~TREXIO File~ object that has been created by a call to ~open~ function. Returns: ~str_r~: str String corresponding to the $group_str$ variable read from ~trexio_file~. Raises: - Exception from AssertionError if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message using trexio_string_of_error. - Exception from some other error (e.g. RuntimeError). """ rc, str_r = pytr.trexio_read_$group_str$(trexio_file.pytrexio_s, PYTREXIO_MAX_STR_LENGTH) if rc != TREXIO_SUCCESS: raise Error(rc) return str_r
def has_$group_str$(trexio_file) -> bool: """Check that $group_str$ variable exists in the TREXIO file. Parameter is a ~TREXIO File~ object that has been created by a call to ~open~ function. Returns: True if the variable exists, False otherwise Raises: - trexio.Error if TREXIO return code ~rc~ is TREXIO_FAILURE and prints the error message using string_of_error. - Exception from some other error (e.g. RuntimeError). """ rc = pytr.trexio_has_$group_str$(trexio_file.pytrexio_s) if rc == TREXIO_FAILURE: raise Error(rc) return rc == TREXIO_SUCCESS
3.7 Templates for front end delete an entire group (UNSAFE MODE)
3.7.1 Introduction
This section concerns API calls related to string attributes.
Function name | Description |
---|---|
trexio_delete_$group$ |
Delete a given group from the TREXIO file |
3.7.2 C templates for front end
trexio_exit_code trexio_delete_$group$ (trexio_t* const file) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (file->mode != 'u') return TREXIO_SAFE_MODE; switch (file->back_end) { case TREXIO_TEXT: return trexio_text_delete_$group$(file); case TREXIO_HDF5: #ifdef HAVE_HDF5 return trexio_hdf5_delete_$group$(file); #else return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: return trexio_json_delete_$group$(file); break; */ } return TREXIO_FAILURE; }
3.7.3 Fortran templates for front end
The Fortran
templates that provide an access to the C
API calls from Fortran.
These templates are based on the use of iso_c_binding
. Pointers have to be passed by value.
interface integer(trexio_exit_code) function trexio_delete_$group$ (trex_file) bind(C) use, intrinsic :: iso_c_binding import integer(trexio_t), intent(in), value :: trex_file end function trexio_delete_$group$ end interface
3.7.4 Python templates for front end
def delete_$group$(trexio_file) -> None: """Delete the entire $group$ group from the TREXIO file. Parameters: trexio_file: TREXIO File object. Raises: - Exception from AssertionError if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message using trexio_string_of_error. - Exception from some other error (e.g. RuntimeError). """ rc = pytr.trexio_delete_$group$(trexio_file.pytrexio_s) if rc != TREXIO_SUCCESS: raise Error(rc)
4 Source code for the determinant part
Storage of the determinants is a particular case, which requires special treatment, but has to be coded only once (since there is only one group that corresponds to it). Thus, there is no need to auto-generate this part via templates.
This section concerns API calls related to Slater determinants.
Function name | Description |
---|---|
trexio_has_determinant_coefficient |
Check if an attribute exists in a file |
trexio_has_determinant_list |
Check if an attribute exists in a file |
trexio_write_determinant_coefficient |
Write an attribute |
trexio_write_determinant_list |
Write an attribute |
trexio_read_determinant_coefficient |
Read an attribute |
trexio_read_determinant_list |
Read an attribute |
trexio_read_determinant_coefficient_size |
Get the number of the coefficients |
trexio_get_int64_num |
Get the number of int64 bit fields per determinant |
4.0.1 C source code
trexio_exit_code trexio_get_int64_num(trexio_t* const file, int32_t* const num) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (num == NULL) return TREXIO_INVALID_ARG_2; /* Read the number of mos */ int64_t mo_num = 0L; trexio_exit_code rc = trexio_read_mo_num_64(file, &mo_num); if (rc != TREXIO_SUCCESS) return rc; if (mo_num == 0L) return TREXIO_INVALID_NUM; /* Compute how many integer numbers is needed to represent a determinant */ int32_t int_num = 0; int_num = (mo_num - 1L)/64 + 1; *num = int_num; return TREXIO_SUCCESS; }
trexio_exit_code trexio_read_determinant_list (trexio_t* const file, const int64_t offset_file, int64_t* const buffer_size_read, int64_t* const dset) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (dset == NULL) return TREXIO_INVALID_ARG_2; if (trexio_has_determinant_list(file) != TREXIO_SUCCESS) return TREXIO_DSET_MISSING; /* Get the number of int bit fields per determinant */ int32_t int_num = 0; trexio_exit_code rc = trexio_get_int64_num(file, &int_num); if (rc != TREXIO_SUCCESS) return rc; uint32_t rank = 2; uint64_t det_size = (uint64_t) (*buffer_size_read); uint64_t dims[2] = {det_size, int_num*2UL}; // introduce a new variable which will be modified with the number of integrals being read if EOF is encountered int64_t eof_read_size = 0L; switch (file->back_end) { case TREXIO_TEXT: rc = trexio_text_read_determinant_list(file, offset_file, rank, dims, &eof_read_size, dset); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_read_determinant_list(file, offset_file, rank, dims, &eof_read_size, dset); break; #else rc = TREXIO_BACK_END_MISSING; break; #endif /* case TREXIO_JSON: return trexio_json_read_$group_dset$(...); break; */ default: rc = TREXIO_FAILURE; /* Impossible case */ break; } if (rc != TREXIO_SUCCESS && rc != TREXIO_END) return rc; if (rc == TREXIO_END) *buffer_size_read = eof_read_size; return rc; }
trexio_exit_code trexio_read_determinant_coefficient (trexio_t* const file, const int64_t offset_file, int64_t* const buffer_size_read, double* const dset) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (dset == NULL) return TREXIO_INVALID_ARG_2; if (trexio_has_determinant_coefficient(file) != TREXIO_SUCCESS) return TREXIO_DSET_MISSING; trexio_exit_code rc; uint32_t rank = 1; uint64_t det_size = (uint64_t) (*buffer_size_read); uint64_t dims[1] = {det_size}; // introduce a new variable which will be modified with the number of integrals being read if EOF is encountered int64_t eof_read_size = 0L; switch (file->back_end) { case TREXIO_TEXT: rc = trexio_text_read_determinant_coefficient(file, offset_file, rank, dims, &eof_read_size, dset); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_read_determinant_coefficient(file, offset_file, rank, dims, &eof_read_size, dset); break; #else rc = TREXIO_BACK_END_MISSING; break; #endif /* case TREXIO_JSON: return trexio_json_read_$group_dset$(...); break; */ default: rc = TREXIO_FAILURE; /* Impossible case */ break; } if (rc != TREXIO_SUCCESS && rc != TREXIO_END) return rc; if (rc == TREXIO_END) *buffer_size_read = eof_read_size; return rc; }
trexio_exit_code trexio_read_determinant_coefficient_size(trexio_t* const file, int64_t* const size_max) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (size_max == NULL) return TREXIO_INVALID_ARG_2; if (trexio_has_determinant_coefficient(file) != TREXIO_SUCCESS) return TREXIO_DSET_MISSING; switch (file->back_end) { case TREXIO_TEXT: return trexio_text_read_determinant_coefficient_size(file, size_max); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 return trexio_hdf5_read_determinant_coefficient_size(file, size_max); break; #else return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: return trexio_json_read_ break; */ default: return TREXIO_FAILURE; /* Impossible case */ } }
trexio_exit_code trexio_read_safe_determinant_list (trexio_t* const file, const int64_t offset_file, int64_t* const buffer_size_read, int64_t* const dset_out, const int64_t dim_out) { return trexio_read_determinant_list(file, offset_file, buffer_size_read, dset_out); } trexio_exit_code trexio_read_safe_determinant_coefficient (trexio_t* const file, const int64_t offset_file, int64_t* const buffer_size_read, double* const dset_out, const int64_t dim_out) { return trexio_read_determinant_coefficient(file, offset_file, buffer_size_read, dset_out); }
trexio_exit_code trexio_write_determinant_list (trexio_t* const file, const int64_t offset_file, const int64_t buffer_size, const int64_t* dset) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (dset == NULL) return TREXIO_INVALID_ARG_2; /* Get the number of int bit fields per determinant */ int32_t int_num = 0; trexio_exit_code rc = trexio_get_int64_num(file, &int_num); if (rc != TREXIO_SUCCESS) return rc; uint32_t rank = 2; uint64_t dims[2] = {buffer_size, int_num*2UL}; assert(file->back_end < TREXIO_INVALID_BACK_END); switch (file->back_end) { case TREXIO_TEXT: rc = trexio_text_write_determinant_list(file, offset_file, rank, dims, dset); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 rc = trexio_hdf5_write_determinant_list(file, offset_file, rank, dims, dset); break; #else return TREXIO_BACK_END_MISSING; break; #endif /* case TREXIO_JSON: rc = trexio_json_read_ break; */ } if (rc != TREXIO_SUCCESS) return rc; // Update the determinant_num value with the number of determinants written int64_t det_num = 0L; // Read the determinant_num if it exists already if (trexio_has_determinant_num(file) == TREXIO_SUCCESS) { rc = trexio_read_determinant_num_64(file, &det_num); if (rc != TREXIO_SUCCESS) return rc; } // Check for the INT64 overflow before writing an updated value if (INT64_MAX - det_num > buffer_size) { det_num += buffer_size; } else { return TREXIO_INT_SIZE_OVERFLOW; } // Overwrite previous value. Here we have to temporarily set the file->mode to 'u' to trick the API // in order to overwrite existing determinant_num. Otherwise the API returns TREXIO_NUM_ALREADY_EXISTS. char mode_tmp = file->mode; file->mode = 'u'; rc = trexio_write_determinant_num_64(file, det_num); file->mode = mode_tmp; if (rc != TREXIO_SUCCESS) return rc; return TREXIO_SUCCESS; }
trexio_exit_code trexio_write_determinant_coefficient (trexio_t* const file, const int64_t offset_file, const int64_t buffer_size, const double* dset) { if (file == NULL) return TREXIO_INVALID_ARG_1; if (dset == NULL) return TREXIO_INVALID_ARG_2; uint32_t rank = 1; uint64_t dims[1] = {buffer_size}; assert(file->back_end < TREXIO_INVALID_BACK_END); switch (file->back_end) { case TREXIO_TEXT: return trexio_text_write_determinant_coefficient(file, offset_file, rank, dims, dset); break; case TREXIO_HDF5: #ifdef HAVE_HDF5 return trexio_hdf5_write_determinant_coefficient(file, offset_file, rank, dims, dset); break; #else return TREXIO_BACK_END_MISSING; break; #endif /* case TREXIO_JSON: rc = trexio_json_read_ break; */ } return TREXIO_FAILURE; }
trexio_exit_code trexio_write_safe_determinant_list (trexio_t* const file, const int64_t offset_file, const int64_t buffer_size, const int64_t* dset_in, const int64_t dim_in) { return trexio_write_determinant_list(file, offset_file, buffer_size, dset_in); } trexio_exit_code trexio_write_safe_determinant_coefficient (trexio_t* const file, const int64_t offset_file, const int64_t buffer_size, const double* dset_in, const int64_t dim_in) { return trexio_write_determinant_coefficient(file, offset_file, buffer_size, dset_in); }
trexio_exit_code trexio_has_determinant_list (trexio_t* const file) { if (file == NULL) return TREXIO_INVALID_ARG_1; assert(file->back_end < TREXIO_INVALID_BACK_END); switch (file->back_end) { case TREXIO_TEXT: return trexio_text_has_determinant_list(file); case TREXIO_HDF5: #ifdef HAVE_HDF5 return trexio_hdf5_has_determinant_list(file); #else return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: return trexio_json_has_ break; */ } return TREXIO_FAILURE; } trexio_exit_code trexio_has_determinant_coefficient (trexio_t* const file) { if (file == NULL) return TREXIO_INVALID_ARG_1; assert(file->back_end < TREXIO_INVALID_BACK_END); switch (file->back_end) { case TREXIO_TEXT: return trexio_text_has_determinant_coefficient(file); case TREXIO_HDF5: #ifdef HAVE_HDF5 return trexio_hdf5_has_determinant_coefficient(file); #else return TREXIO_BACK_END_MISSING; #endif /* case TREXIO_JSON: return trexio_json_has_ break; */ } return TREXIO_FAILURE; }
4.0.2 Fortran interface
The Fortran
templates that provide an access to the C
API calls from Fortran.
These templates are based on the use of iso_c_binding
. Pointers have to be passed by value.
interface integer(trexio_exit_code) function trexio_write_determinant_list (trex_file, & offset_file, buffer_size, list) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file integer(c_int64_t), intent(in), value :: offset_file integer(c_int64_t), intent(in), value :: buffer_size integer(c_int64_t), intent(in) :: list(*) end function trexio_write_determinant_list end interface interface integer(trexio_exit_code) function trexio_write_safe_determinant_list (trex_file, & offset_file, buffer_size, & list, list_size) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file integer(c_int64_t), intent(in), value :: offset_file integer(c_int64_t), intent(in), value :: buffer_size integer(c_int64_t), intent(in) :: list(*) integer(c_int64_t), intent(in), value :: list_size end function trexio_write_safe_determinant_list end interface interface integer(trexio_exit_code) function trexio_write_determinant_coefficient(trex_file, & offset_file, buffer_size, coefficient) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file integer(c_int64_t), intent(in), value :: offset_file integer(c_int64_t), intent(in), value :: buffer_size real(c_double), intent(in) :: coefficient(*) end function trexio_write_determinant_coefficient end interface interface integer(trexio_exit_code) function trexio_write_safe_determinant_coefficient (trex_file, & offset_file, buffer_size, & coefficient, coefficient_size) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file integer(c_int64_t), intent(in), value :: offset_file integer(c_int64_t), intent(in), value :: buffer_size real(c_double), intent(in) :: coefficient(*) integer(c_int64_t), intent(in), value :: coefficient_size end function trexio_write_safe_determinant_coefficient end interface
interface integer(trexio_exit_code) function trexio_read_determinant_list(trex_file, & offset_file, buffer_size, list) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file integer(c_int64_t), intent(in), value :: offset_file integer(c_int64_t), intent(inout) :: buffer_size integer(c_int64_t), intent(out) :: list(*) end function trexio_read_determinant_list end interface interface integer(trexio_exit_code) function trexio_read_safe_determinant_list (trex_file, & offset_file, buffer_size, & list, list_size) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file integer(c_int64_t), intent(in), value :: offset_file integer(c_int64_t), intent(inout) :: buffer_size integer(c_int64_t), intent(out) :: list(*) integer(c_int64_t), intent(in), value :: list_size end function trexio_read_safe_determinant_list end interface interface integer(trexio_exit_code) function trexio_read_safe_determinant_coefficient (trex_file, & offset_file, buffer_size, & coefficient, coefficient_size) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file integer(c_int64_t), intent(in), value :: offset_file integer(c_int64_t), intent(inout) :: buffer_size real(c_double), intent(out) :: coefficient(*) integer(c_int64_t), intent(in), value :: coefficient_size end function trexio_read_safe_determinant_coefficient end interface interface integer(trexio_exit_code) function trexio_read_determinant_coefficient(trex_file, & offset_file, buffer_size, coefficient) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file integer(c_int64_t), intent(in), value :: offset_file integer(c_int64_t), intent(inout) :: buffer_size real(c_double), intent(out) :: coefficient(*) end function trexio_read_determinant_coefficient end interface interface integer(trexio_exit_code) function trexio_read_determinant_coefficient_size (trex_file, & size_max) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file integer(c_int64_t), intent(out) :: size_max end function trexio_read_determinant_coefficient_size end interface
interface integer(trexio_exit_code) function trexio_has_determinant_list (trex_file) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file end function trexio_has_determinant_list end interface interface integer(trexio_exit_code) function trexio_has_determinant_coefficient (trex_file) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file end function trexio_has_determinant_coefficient end interface interface integer(trexio_exit_code) function trexio_get_int64_num (trex_file, num) bind(C) use, intrinsic :: iso_c_binding import integer(c_int64_t), intent(in), value :: trex_file integer(c_int32_t), intent(out) :: num end function trexio_get_int64_num end interface
4.0.3 Python interface
def write_determinant_list(trexio_file: File, offset_file: int, buffer_size: int, determinants: list) -> None: """Write the determinant list in the TREXIO file. Parameters: trexio_file: TREXIO File object. offset_file: int The number of determinants to be skipped in the file when writing. buffer_size: int The number of determinants to write in the file. determinants: list OR numpy.ndarray Array of determinant_list to be written. If array data type does not correspond to int64, the conversion is performed. Raises: - trexio.Error if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message. - Exception from some other error (e.g. RuntimeError). """ if not isinstance(offset_file, int): raise TypeError("offset_file argument has to be an integer.") if not isinstance(buffer_size, int): raise TypeError("buffer_size argument has to be an integer.") if not isinstance(determinants, (list, tuple, np.ndarray)): raise TypeError("determinants argument has to be an array (list, tuple or NumPy ndarray).") convert = False flatten = False if isinstance(determinants, np.ndarray): # convert to int64 if input determinants are in a different precision if not determinants.dtype==np.int64: convert= True if len(determinants.shape) > 1: flatten = True if convert: dets_64 = np.int64(determinants).flatten() else: dets_64 = np.array(determinants, dtype=np.int64).flatten() else: if convert: dets_64 = np.int64(determinants) else: # if input array is a multidimensional list or tuple, we have to convert it try: # if list is flat - the attempt to compute len() will raise a TypeError _ = len(determinants[0]) dets_64 = np.array(determinants, dtype=np.int64).flatten() flatten = True except TypeError: pass if flatten or convert: rc = pytr.trexio_write_safe_determinant_list(trexio_file.pytrexio_s, offset_file, buffer_size, dets_64) else: rc = pytr.trexio_write_safe_determinant_list(trexio_file.pytrexio_s, offset_file, buffer_size, determinants) if rc != TREXIO_SUCCESS: raise Error(rc) def write_determinant_coefficient(trexio_file: File, offset_file: int, buffer_size: int, coefficients: list) -> None: """Write the determinant coefficients in the TREXIO file. Parameters: trexio_file: TREXIO File object. offset_file: int The number of coefficients to be skipped in the file when writing. buffer_size: int The number of coefficients to write in the file. coefficients: list OR numpy.ndarray Array of determinant_coefficient to be written. If array data type does not correspond to int64, the conversion is performed. Raises: - trexio.Error if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message. - Exception from some other error (e.g. RuntimeError). """ if not isinstance(offset_file, int): raise TypeError("offset_file argument has to be an integer.") if not isinstance(buffer_size, int): raise TypeError("buffer_size argument has to be an integer.") if not isinstance(coefficients, (list, tuple, np.ndarray)): raise TypeError("coefficients argument has to be an array (list, tuple or NumPy ndarray).") if isinstance(coefficients, np.ndarray) and not coefficients.dtype==np.float64: # convert to float64 if input is in a different precision coefficients_64 = np.float64(coefficients) rc = pytr.trexio_write_safe_determinant_coefficient(trexio_file.pytrexio_s, offset_file, buffer_size, coefficients_64) else: rc = pytr.trexio_write_safe_determinant_coefficient(trexio_file.pytrexio_s, offset_file, buffer_size, coefficients) if rc != TREXIO_SUCCESS: raise Error(rc)
def read_determinant_list(trexio_file: File, offset_file: int, buffer_size: int) -> tuple: """Read determinant_list from the TREXIO file. Parameters: trexio_file: TREXIO File object. offset_file: int The number of determinants to be skipped in the file when reading. buffer_size: int The number of determinants to read from the file. Returns: (determinants, n_int_read, eof_flag) tuple where - determinants are NumPy arrays [numpy.ndarray] with the default int64 precision; - n_int_read [int] is the number of determinants read from the trexio_file (either strictly equal to buffer_size or less than buffer_size if EOF has been reached); - eof_flag [bool] is True when EOF has been reached (i.e. when call to low-level pytrexio API returns TREXIO_END) False otherwise. Raises: - trexio.Error if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message. - Exception from some other error (e.g. RuntimeError). """ if not isinstance(offset_file, int): raise TypeError("offset_file argument has to be an integer.") if not isinstance(buffer_size, int): raise TypeError("buffer_size argument has to be an integer.") # read the number of determinants already in the file det_num = read_determinant_num(trexio_file) # calculate the int_num (number of int bit fields per determinant) int_num = 2 * get_int64_num(trexio_file) # additional modification needed to avoid allocating more memory than needed if EOF will be reached during read overflow = offset_file + buffer_size - det_num eof_flag = False if overflow > 0: verified_size = buffer_size - overflow eof_flag = True else: verified_size = buffer_size # main call to the low-level (SWIG-wrapped) trexio_read function, which also requires the sizes of the output to be provided # read_buf_size contains the number of elements being read from the file, useful when EOF has been reached rc, n_int_read, determinants = pytr.trexio_read_safe_determinant_list(trexio_file.pytrexio_s, offset_file, verified_size, verified_size * int_num) if rc != TREXIO_SUCCESS: raise Error(rc) if n_int_read == 0: raise ValueError("No integrals have been read from the file.") if determinants is None: raise ValueError("Returned NULL array from the low-level pytrexio API.") # conversion to custom types can be performed on the user side, here we only reshape the returned flat array according to int_num dets_reshaped = np.reshape(determinants, (verified_size, int_num), order='C') return (dets_reshaped, n_int_read, eof_flag) def read_determinant_coefficient(trexio_file: File, offset_file: int, buffer_size: int) -> tuple: """Read determinant_coefficient from the TREXIO file. Parameters: trexio_file: TREXIO File object. offset_file: int The number of coefficient to be skipped in the file when reading. buffer_size: int The number of coefficients to read from the file. Returns: (coefficients, n_int_read, eof_flag) tuple where - coefficients are NumPy arrays [numpy.ndarray] with the default int64 precision; - n_int_read [int] is the number of coefficients read from the trexio_file (either strictly equal to buffer_size or less than buffer_size if EOF has been reached); - eof_flag [bool] is True when EOF has been reached (i.e. when call to low-level pytrexio API returns TREXIO_END) False otherwise. Raises: - trexio.Error if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message. - Exception from some other error (e.g. RuntimeError). """ if not isinstance(offset_file, int): raise TypeError("offset_file argument has to be an integer.") if not isinstance(buffer_size, int): raise TypeError("buffer_size argument has to be an integer.") # read the number of determinants already in the file det_num = read_determinant_coefficient_size(trexio_file) # additional modification needed to avoid allocating more memory than needed if EOF will be reached during read overflow = offset_file + buffer_size - det_num eof_flag = False if overflow > 0: verified_size = buffer_size - overflow eof_flag = True else: verified_size = buffer_size # main call to the low-level (SWIG-wrapped) trexio_read function, which also requires the sizes of the output to be provided # read_buf_size contains the number of elements being read from the file, useful when EOF has been reached rc, n_int_read, coefficients = pytr.trexio_read_safe_determinant_coefficient(trexio_file.pytrexio_s, offset_file, verified_size, verified_size) if rc != TREXIO_SUCCESS: raise Error(rc) if n_int_read == 0: raise ValueError("No integrals have been read from the file.") if coefficients is None: raise ValueError("Returned NULL array from the low-level pytrexio API.") return (coefficients, n_int_read, eof_flag) def read_determinant_coefficient_size(trexio_file) -> int: """Read the number of determinant coefficients stored in the TREXIO file. Parameter is a ~TREXIO File~ object that has been created by a call to ~open~ function. Returns: ~num~: int Integer value of corresponding to the size of the determinant_coefficient array from ~trexio_file~. Raises: - Exception from AssertionError if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message using trexio_string_of_error. - Exception from some other error (e.g. RuntimeError). """ rc, num = pytr.trexio_read_determinant_coefficient_size(trexio_file.pytrexio_s) if rc != TREXIO_SUCCESS: raise Error(rc) return num def get_int64_num(trexio_file) -> int: """Compute the number of int64 bit fields corresponding to the TREXIO file. Parameter is a ~TREXIO File~ object that has been created by a call to ~open~ function. Returns: ~num~: int Number of int64 bit fields per determinant. Raises: - Exception from AssertionError if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message using trexio_string_of_error. - Exception from some other error (e.g. RuntimeError). """ rc, num = pytr.trexio_get_int64_num(trexio_file.pytrexio_s) if rc != TREXIO_SUCCESS: raise Error(rc) return num
def has_determinant_list(trexio_file) -> bool: """Check that determinant_list exists in the TREXIO file. Parameter is a ~TREXIO File~ object that has been created by a call to ~open~ function. Returns: True if the variable exists, False otherwise Raises: - trexio.Error if TREXIO return code ~rc~ is TREXIO_FAILURE and prints the error message using string_of_error. - Exception from some other error (e.g. RuntimeError). """ rc = pytr.trexio_has_determinant_list(trexio_file.pytrexio_s) if rc == TREXIO_FAILURE: raise Error(rc) return rc == TREXIO_SUCCESS def has_determinant_coefficient(trexio_file) -> bool: """Check that determinant_coefficient exists in the TREXIO file. Parameter is a ~TREXIO File~ object that has been created by a call to ~open~ function. Returns: True if the variable exists, False otherwise Raises: - trexio.Error if TREXIO return code ~rc~ is TREXIO_FAILURE and prints the error message using string_of_error. - Exception from some other error (e.g. RuntimeError). """ rc = pytr.trexio_has_determinant_coefficient(trexio_file.pytrexio_s) if rc == TREXIO_FAILURE: raise Error(rc) return rc == TREXIO_SUCCESS
5 General helper functions
This section contains general helper functions like trexio_info
.
trexio_info
prints information about the TREXIO configuration (see config.h
file).
In particular:
TREXIO_PACKAGE_VERSION
[string]HAVE_HDF5
[bool]HDF5_VERSION
[string] (optional, only ifHAVE_HDF5
istrue
)TREXIO_GIT_HASH
[string]
trexio_mark_safety
checks if the file has been open in UNSAFE mode.
If it was, the metadata_unsafe
attribute can be overwritten with the value provided in a second argument of the function.
Since metadata_unsafe
is set to 1
(true
) upon the first opening of the file in UNSAFE mode, this value is immutable.
However, if the user validated that the file is correct (e.g. using trexio-tools
),
then value of the metadata_unsafe
attribute can be changed using the aforementioned function.
trexio_to_orbital_list
function converts the list of integer bit fields of a
given determinant into a list of indices of the occupied orbitals (for one spin component).
trexio_to_orbital_list_up_dn
function does the same but for both up- and down-spin components
of the determinant and returns two list of orbitals each corresponding to a different component.
5.1 C
trexio_exit_code trexio_info(void); trexio_exit_code trexio_mark_safety(trexio_t* const file, const int32_t safety_flag); typedef int64_t bitfield_t; #define TREXIO_ORBITAL_SHIFT 1 #define TREXIO_INT_SIZE 64 #define TREXIO_NORB_PER_INT ( 8*sizeof(bitfield_t) ) # trexio_exit_code trexio_to_orbital_list (const int32_t N_int, const bitfield_t* d1, int32_t* const list, int32_t* const occupied_num); trexio_exit_code trexio_to_orbital_list_up_dn (const int32_t N_int, const bitfield_t* d1, int32_t* const list_up, int32_t* const list_dn, int32_t* const occ_num_up, int32_t* const occ_num_dn); trexio_exit_code trexio_safe_to_orbital_list (const int32_t N_int, const bitfield_t* dset_in, const int64_t dim_in, int32_t* const dset_out, const int64_t dim_out, int32_t* const num); trexio_exit_code trexio_safe_to_orbital_list_up_dn (const int32_t N_int, const bitfield_t* dset_in, const int64_t dim_in, int32_t* const dset_up_out, const int64_t dim_up_out, int32_t* const dset_dn_out, const int64_t dim_dn_out, int32_t* const num_up, int32_t* const num_dn);
trexio_exit_code trexio_to_orbital_list(const int32_t N_int, const bitfield_t* d1, int32_t* const list, int32_t* const occupied_num) { if (N_int <= 0) return TREXIO_INVALID_ARG_1; if (d1 == NULL) return TREXIO_INVALID_ARG_2; if (list == NULL) return TREXIO_INVALID_ARG_3; if (occupied_num == NULL) return TREXIO_INVALID_ARG_4; bitfield_t tmp; int32_t shift; int32_t k; int32_t pos; k = 0; shift = TREXIO_ORBITAL_SHIFT; for (int32_t i=0 ; i<N_int ; i++) { tmp = d1[i]; while (tmp != (bitfield_t) 0) { pos = trailz(tmp); if (pos < 0) return TREXIO_FAILURE; list[k] = ( (int32_t) pos) + shift - 1; tmp ^= ( ((bitfield_t) 1) << pos); k++; } shift += TREXIO_NORB_PER_INT; } *occupied_num = (int32_t) k; return TREXIO_SUCCESS; }
trexio_exit_code trexio_to_orbital_list_up_dn(const int32_t N_int, const bitfield_t* d1, int32_t* const list_up, int32_t* const list_dn, int32_t* const occ_num_up, int32_t* const occ_num_dn) { if (N_int <= 0) return TREXIO_INVALID_ARG_1; if (d1 == NULL) return TREXIO_INVALID_ARG_2; if (list_up == NULL) return TREXIO_INVALID_ARG_3; if (list_dn == NULL) return TREXIO_INVALID_ARG_4; if (occ_num_up == NULL) return TREXIO_INVALID_ARG_5; if (occ_num_dn == NULL) return TREXIO_INVALID_ARG_6; trexio_exit_code rc; /* First process up-spin electrons */ rc = trexio_to_orbital_list(N_int, &d1[0], list_up, occ_num_up); if (rc != TREXIO_SUCCESS) return rc; /* Now process down-spin electrons */ rc = trexio_to_orbital_list(N_int, &d1[N_int], list_dn, occ_num_dn); if (rc != TREXIO_SUCCESS) return rc; return TREXIO_SUCCESS; }
trexio_exit_code trexio_safe_to_orbital_list (const int32_t N_int, const bitfield_t* dset_in, const int64_t dim_in, int32_t* const dset_out, const int64_t dim_out, int32_t* const num) { return trexio_to_orbital_list(N_int, dset_in, dset_out, num); } trexio_exit_code trexio_safe_to_orbital_list_up_dn (const int32_t N_int, const bitfield_t* dset_in, const int64_t dim_in, int32_t* const dset_up_out, const int64_t dim_up_out, int32_t* const dset_dn_out, const int64_t dim_dn_out, int32_t* const num_up, int32_t* const num_dn) { return trexio_to_orbital_list_up_dn(N_int, dset_in, dset_up_out, dset_dn_out, num_up, num_dn); }
/* Popcount and trailz */ #if TREXIO_INT_SIZE == 64 extern int __builtin_popcountll (unsigned long long x_0); #define popcnt(X) __builtin_popcountll((unsigned long long) X) extern int __builtin_ctzll (unsigned long long x_0); #define trailz(X) __builtin_ctzll((unsigned long long) X) #elif TREXIO_INT_SIZE == 32 extern int __builtin_popcountl (unsigned long x_0); #define popcnt(X) __builtin_popcountl((unsigned long) X) extern int __builtin_ctzl(unsigned long x_0); #define trailz(X) __builtin_ctzl((unsigned long) X) #elif TREXIO_INT_SIZE == 16 extern int __builtin_popcount (unsigned int x_0); #define popcnt(X) __builtin_popcount((unsigned int) X) extern int __builtin_ctz (unsigned int x_0); #define trailz(X) __builtin_ctz((unsigned int) X) #else #error("Invalid TREXIO_INT_SIZE") #endif
trexio_exit_code trexio_info (void) { printf("TREXIO_PACKAGE_VERSION : %s\n", TREXIO_PACKAGE_VERSION); #ifdef TREXIO_GIT_HASH printf("TREXIO_GIT_HASH : %s\n", TREXIO_GIT_HASH); #else printf("GIT_HASH is stored in the config.h file, which is missing."); #endif #ifdef HAVE_HDF5 printf("HAVE_HDF5 : true\n"); printf("%s\n", H5_VERS_INFO); #else printf("HAVE_HDF5 : false\n"); printf("TREXIO configured without the HDF5 library\n"); #endif return TREXIO_SUCCESS; }
trexio_exit_code trexio_mark_safety (trexio_t* const file, const int32_t safety_flag) { if (file == NULL) return TREXIO_INVALID_ARG_1; /* 1 for true ; 0 for false */ if (safety_flag != 0 && safety_flag != 1) return TREXIO_INVALID_ARG_2; /* Cannot mark the file in safe mode */ if (file->mode != 'u') return TREXIO_FAILURE; return trexio_write_metadata_unsafe(file, safety_flag); }
5.2 Fortran
interface integer function trexio_info () bind(C) use, intrinsic :: iso_c_binding end function trexio_info end interface
interface integer(trexio_exit_code) function trexio_to_orbital_list_c(N_int, d1, list, occupied_num) bind(C, name="trexio_to_orbital_list") use, intrinsic :: iso_c_binding import integer(c_int32_t), intent(in), value :: N_int integer(c_int64_t), intent(in) :: d1(*) integer(c_int32_t), intent(inout) :: list(*) integer(c_int32_t), intent(inout) :: occupied_num end function trexio_to_orbital_list_c end interface
interface integer(trexio_exit_code) function trexio_to_orbital_list_up_dn_c(N_int, d1, list_up, list_dn, occ_num_up, occ_num_dn) & bind(C, name="trexio_to_orbital_list_up_dn") use, intrinsic :: iso_c_binding import integer(c_int32_t), intent(in), value :: N_int integer(c_int64_t), intent(in) :: d1(*) integer(c_int32_t), intent(inout) :: list_up(*) integer(c_int32_t), intent(inout) :: list_dn(*) integer(c_int32_t), intent(inout) :: occ_num_up integer(c_int32_t), intent(inout) :: occ_num_dn end function trexio_to_orbital_list_up_dn_c end interface
5.3 Python
def info(): """Print the info about the installed TREXIO library.""" rc = pytr.trexio_info() if rc != TREXIO_SUCCESS: raise Error(rc)
def to_orbital_list(n_int: int, determinant: list) -> list: """Convert a given determinant into a list of occupied orbitals. Input: ~determinant~ - list of bit fields (integers) ~n_int~ - number of bit fields per determinant of a given spin Returns: ~orbital_list~: list Raises: - Exception from AssertionError if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message using trexio_string_of_error. - Exception from some other error (e.g. RuntimeError). """ # max possible size of the orbital list per spin component (upper limit on the number of MOs) size_max = n_int * 64 rc, orbital_list, occ_num = pytr.trexio_safe_to_orbital_list(n_int, determinant, size_max) if rc != TREXIO_SUCCESS: raise Error(rc) if len(orbital_list) < occ_num: raise Exception("Inconsistent size of the orbital_list.") return orbital_list[0:occ_num] def to_orbital_list_up_dn(n_int: int, determinant: list) -> tuple: """Convert a given determinant into two lists of occupied orbitals. Input: ~determinant~ - list of bit fields (integers) ~n_int~ - number of bit fields per determinant of a given spin Returns: result: tuple with the following items: ~orbital_list_up~: list of orbitals occupied by up-spin electrons ~orbital_list_dn~: list of orbitals occupied by down-spin electrons Raises: - Exception from AssertionError if TREXIO return code ~rc~ is different from TREXIO_SUCCESS and prints the error message using trexio_string_of_error. - Exception from some other error (e.g. RuntimeError). """ # max possible size of the orbital list per spin component (upper limit on the number of MOs) size_max = n_int * 64 rc, orbital_list_up, orbital_list_dn, occ_num_up, occ_num_dn = pytr.trexio_safe_to_orbital_list_up_dn(n_int, determinant, size_max, size_max) if rc != TREXIO_SUCCESS: raise Error(rc) if len(orbital_list_up) < occ_num_up: raise Exception("Inconsistent size of the orbital_list for up-spin electrons.") if len(orbital_list_dn) < occ_num_dn: raise Exception("Inconsistent size of the orbital_list for down-spin electrons.") return (orbital_list_up[0:occ_num_up], orbital_list_dn[0:occ_num_dn])
6 Fortran helper/wrapper functions
The function below adapts the original C-based trexio_open
for Fortran.
This is needed due to the fact that strings in C are terminated by NULL
character \0
unlike strings in Fortran.
Note, that Fortran interface calls the main TREXIO
API, which is written in C.
contains integer(trexio_t) function trexio_open (filename, mode, back_end, rc_open) use, intrinsic :: iso_c_binding, only : c_null_char implicit none character(len=*), intent(in) :: filename character, intent(in), value :: mode integer(trexio_back_end_t), intent(in), value :: back_end integer(trexio_exit_code), intent(out) :: rc_open character(len=len_trim(filename)+1) :: filename_c integer(trexio_exit_code) :: rc filename_c = trim(filename) // c_null_char trexio_open = trexio_open_c(filename_c, mode, back_end, rc_open) if (trexio_open == 0_8 .or. rc_open /= TREXIO_SUCCESS) then return endif rc = trexio_set_one_based(trexio_open) if (rc /= TREXIO_SUCCESS) then rc = trexio_close(trexio_open) trexio_open = 0_8 endif end function trexio_open
The function below adapts the original C-based trexio_inquire
for Fortran.
This is needed due to the same reasons as for trexio_open
function.
Note, that Fortran interface calls the main TREXIO
API, which is written in C.
integer(trexio_exit_code) function trexio_inquire (filename) use, intrinsic :: iso_c_binding implicit none character(len=*), intent(in) :: filename character(len=len_trim(filename)+1) :: filename_c filename_c = trim(filename) // c_null_char trexio_inquire = trexio_inquire_c(filename_c) end function trexio_inquire
The subroutines below wrap the to_orbital_list
functions to shift the MO indices
by 1 since in Fortran arrays are 1-based and C/Python they are 0-based.
integer(trexio_exit_code) function trexio_to_orbital_list(N_int, d1, list, occupied_num) use, intrinsic :: iso_c_binding implicit none integer(c_int32_t), intent(in), value :: N_int integer(c_int64_t), intent(in) :: d1(*) integer(c_int32_t), intent(out) :: list(*) integer(c_int32_t), intent(out) :: occupied_num integer :: i trexio_to_orbital_list = trexio_to_orbital_list_c(N_int, d1, list, occupied_num) if (trexio_to_orbital_list /= TREXIO_SUCCESS) then return endif do i = 1,occupied_num list(i) = list(i) + 1 enddo end function trexio_to_orbital_list integer(trexio_exit_code) function trexio_to_orbital_list_up_dn(N_int, d1, list_up, list_dn, occ_num_up, occ_num_dn) use, intrinsic :: iso_c_binding implicit none integer(c_int32_t), intent(in), value :: N_int integer(c_int64_t), intent(in) :: d1(*) integer(c_int32_t), intent(out) :: list_up(*) integer(c_int32_t), intent(out) :: list_dn(*) integer(c_int32_t), intent(out) :: occ_num_up integer(c_int32_t), intent(out) :: occ_num_dn integer :: i trexio_to_orbital_list_up_dn = trexio_to_orbital_list_up_dn_c(N_int, d1, list_up, list_dn, occ_num_up, occ_num_dn) if (trexio_to_orbital_list_up_dn /= TREXIO_SUCCESS) then return endif do i = 1,occ_num_up list_up(i) = list_up(i) + 1 enddo do i = 1,occ_num_dn list_dn(i) = list_dn(i) + 1 enddo end function trexio_to_orbital_list_up_dn
The subroutine below transforms an array of Fortran strings into one big string using TREXIO_DELIM
symbol
as a delimeter and adds NULL
character in the end in order to properly pass the desired string to
C API. This is needed due to the fact that strings in C are terminated by NULL
character \0
.
subroutine trexio_strarray2str(str_array, max_num_str, max_len_str, str_res) use, intrinsic :: iso_c_binding, only : c_null_char implicit none integer(c_int64_t), intent(in), value :: max_num_str ! number of elements in strign array integer, intent(in), value :: max_len_str ! maximum length of a string in an array character(len=*), intent(in) :: str_array(*) character(len=:), allocatable, intent(out) :: str_res integer(c_int64_t) :: i str_res = '' do i = 1, max_num_str str_res = str_res // trim(str_array(i)) // TREXIO_DELIM enddo str_res = str_res // c_null_char end subroutine trexio_strarray2str
The subroutine below does the reverse tranformation from one big string with delimeters into an array of Fortran strings.
subroutine trexio_str2strarray(str_flat, max_num_str, max_len_str, str_array) implicit none integer(c_int64_t), intent(in), value :: max_num_str ! number of elements in strign array integer, intent(in), value :: max_len_str ! maximum length of a string in an array character(kind=c_char), intent(in) :: str_flat(*) character(len=*), intent(inout) :: str_array(*) character(len=max_len_str) :: tmp_str integer(c_int64_t) :: i, j, k, ind, len_flat len_flat = (max_len_str+1)*max_num_str + 1 ind=1 do i=1,max_num_str k = 1 tmp_str='' do j=ind,len_flat if (str_flat(j) == TREXIO_DELIM) then ind=j+1 exit endif tmp_str(k:k) = str_flat(j) k = k + 1 enddo str_array(i)=tmp_str enddo end subroutine trexio_str2strarray
The subroutine is a Fortran analogue of assert
in C. It check that the the return code of the
TREXIO API call is equal to a given return code. It can optionally print a success message if the
two code are identical, i.e. if the assert
statement pass.
subroutine trexio_assert(trexio_rc, check_rc, success_message) implicit none integer, intent(in), value :: trexio_rc integer, intent(in), value :: check_rc character(len=*), intent(in), optional :: success_message character*(128) :: str if (trexio_rc == check_rc) then if (present(success_message)) write(*,*) success_message else call trexio_string_of_error(trexio_rc, str) print *, trim(str) stop 1 endif end subroutine trexio_assert