ZOLTAN_OBJ_SIZE_MULTI_FN or ZOLTAN_OBJ_SIZE_FNThe "MULTI_" versions of the packing/unpacking functions take lists of IDs as input and pack/unpack data for all objects in the lists. Only one function of each type must be provided (e.g., either a ZOLTAN_PACK_OBJ_FN or ZOLTAN_PACK_OBJ_MULTI_FN, but not both).
ZOLTAN_PACK_OBJ_MULTI_FN or ZOLTAN_PACK_OBJ_FN
ZOLTAN_UNPACK_OBJ_MULTI_FN or ZOLTAN_UNPACK_OBJ_FN
Optional, additional query functions for migration may also be registered; these functions are called at the beginning, middle, and end of migration in Zoltan_Migrate. Interprocessor communication is allowed in these functions.
ZOLTAN_PRE_MIGRATE_PP_FNFor backward compatibility with previous versions of Zoltan, the following functions may be used with Zoltan_Help_Migrate.
ZOLTAN_MID_MIGRATE_PP_FN
ZOLTAN_POST_MIGRATE_PP_FN
ZOLTAN_PRE_MIGRATE_FN
ZOLTAN_MID_MIGRATE_FN
ZOLTAN_POST_MIGRATE_FN
| C and C++: |
typedef int ZOLTAN_OBJ_SIZE_FN(
void *data, int num_gid_entries, int num_lid_entries, ZOLTAN_ID_PTR global_id, ZOLTAN_ID_PTR local_id, int *ierr); |
| FORTRAN: | FUNCTION Obj_Size(data, num_gid_entries, num_lid_entries,
global_id, local_id, ierr)
INTEGER(Zoltan_INT) :: Obj_Size <type-data>, INTENT(IN) :: data INTEGER(Zoltan_INT), INTENT(IN) :: num_gid_entries, num_lid_entries INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: global_id, local_id INTEGER(Zoltan_INT), INTENT(OUT) :: ierr <type-data> can be any of INTEGER(Zoltan_INT), DIMENSION(*) or REAL(Zoltan_FLOAT), DIMENSION(*) or REAL(Zoltan_DOUBLE), DIMENSION(*) or TYPE(Zoltan_User_Data_x) where x is 1, 2, 3 or 4. See the section on Fortran query functions for an explanation. |
| Function Type: | ZOLTAN_OBJ_SIZE_FN_TYPE |
| Arguments: | |
| data | Pointer to user-defined data. |
| num_gid_entries | The number of array entries used to describe a single global ID. This value is the maximum value over all processors of the parameter NUM_GID_ENTRIES. |
| num_lid_entries | The number of array entries used to describe a single local ID. This value is the maximum value over all processors of the parameter NUM_LID_ENTRIES. |
| global_id | Pointer to the global ID of the object. |
| local_id | Pointer to the local ID of the object. |
| ierr | Error code to be set by function. |
| Returned Value: | |
| int | The size (in bytes) of the required data buffer. |
| C and C++: |
typedef void ZOLTAN_OBJ_SIZE_MULTI_FN (
void *data, int num_gid_entries, int num_lid_entries, int num_ids, ZOLTAN_ID_PTR global_ids, ZOLTAN_ID_PTR local_ids, int *sizes, int *ierr); |
| FORTRAN: | SUBROUTINE Obj_Size_Multi(data, num_gid_entries, num_lid_entries,
num_ids, global_ids, local_ids, sizes, ierr)
<type-data>, INTENT(IN) :: data INTEGER(Zoltan_INT), INTENT(IN) :: num_gid_entries, num_lid_entries, num_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: global_ids, local_ids INTEGER(Zoltan_INT), INTENT(OUT), DIMENSION(*) :: sizes INTEGER(Zoltan_INT), INTENT(OUT) :: ierr <type-data> can be any of INTEGER(Zoltan_INT), DIMENSION(*) or REAL(Zoltan_FLOAT), DIMENSION(*) or REAL(Zoltan_DOUBLE), DIMENSION(*) or TYPE(Zoltan_User_Data_x) where x is 1, 2, 3 or 4. See the section on Fortran query functions for an explanation. |
| Function Type: | ZOLTAN_OBJ_SIZE_MULTI_FN_TYPE |
| Arguments: | |
| data | Pointer to user-defined data. |
| num_gid_entries | The number of array entries used to describe a single global ID. This value is the maximum value over all processors of the parameter NUM_GID_ENTRIES. |
| num_lid_entries | The number of array entries used to describe a single local ID. This value is the maximum value over all processors of the parameter NUM_LID_ENTRIES. |
| num_ids | The number of objects whose sizes are to be returned. |
| global_ids | An array of global IDs of the objects. The ID for the i-th object begins in global_ids[i*num_gid_entries]. |
| local_ids | An array of local IDs of the objects. The ID for the i-th object begins in local_ids[i*num_lid_entries]. |
| sizes | Upon return, array of sizes (in bytes) for each object in the ID lists. |
| ierr | Error code to be set by function. |
| C and C++: |
typedef void ZOLTAN_PACK_OBJ_FN (
void *data, int num_gid_entries, int num_lid_entries, ZOLTAN_ID_PTR global_id, ZOLTAN_ID_PTR local_id, int dest, int size, char *buf, int *ierr); |
| FORTRAN: | SUBROUTINE Pack_Obj(data, num_gid_entries, num_lid_entries,
global_id, local_id, dest, size, buf, ierr)
<type-data>, INTENT(IN) :: data INTEGER(Zoltan_INT), INTENT(IN) :: num_gid_entries, num_lid_entries INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: global_id INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: local_id INTEGER(Zoltan_INT), INTENT(IN) :: dest, size INTEGER(Zoltan_INT), INTENT(OUT), DIMENSION(*) :: buf INTEGER(Zoltan_INT), INTENT(OUT) :: ierr <type-data> can be any of INTEGER(Zoltan_INT), DIMENSION(*) or REAL(Zoltan_FLOAT), DIMENSION(*) or REAL(Zoltan_DOUBLE), DIMENSION(*) or TYPE(Zoltan_User_Data_x) where x is 1, 2, 3 or 4. See the section on Fortran query functions for an explanation. |
| Function Type: | ZOLTAN_PACK_OBJ_FN_TYPE |
| Arguments: | |
| data | Pointer to user-defined data. |
| num_gid_entries | The number of array entries used to describe a single global ID. This value is the maximum value over all processors of the parameter NUM_GID_ENTRIES. |
| num_lid_entries | The number of array entries used to describe a single local ID. This value is the maximum value over all processors of the parameter NUM_LID_ENTRIES. |
| global_id | The global ID of the object for which data should be copied into the communication buffer. |
| local_id | The local ID of the object for which data should be copied into the communication buffer. |
| dest | The destination part (i.e., the part to which the object is being sent) |
| size | The size (in bytes) of the communication buffer for the specified object. This value is at least as large as the value returned by the ZOLTAN_OBJ_SIZE_MULTI_FN or ZOLTAN_OBJ_SIZE_FN query function; it may be slightly larger due to padding for data alignment in the buffer. |
| buf | The starting address of the communication buffer into which the object's data should be packed. |
| ierr | Error code to be set by function. |
| C and C++: |
typedef void ZOLTAN_PACK_OBJ_MULTI_FN (
void *data, int num_gid_entries, int num_lid_entries, int num_ids, ZOLTAN_ID_PTR global_ids, ZOLTAN_ID_PTR local_ids, int *dest, int *sizes, int *idx, char *buf, int *ierr); |
| FORTRAN: | SUBROUTINE Pack_Obj_Multi(data, num_gid_entries, num_lid_entries,
num_ids, global_ids, local_ids, dest, sizes, idx, buf, ierr)
<type-data>, INTENT(IN) :: data INTEGER(Zoltan_INT), INTENT(IN) :: num_gid_entries, num_lid_entries, num_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: global_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: local_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: dest INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: sizes INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: idx INTEGER(Zoltan_INT), INTENT(OUT), DIMENSION(*) :: buf INTEGER(Zoltan_INT), INTENT(OUT) :: ierr <type-data> can be any of INTEGER(Zoltan_INT), DIMENSION(*) or REAL(Zoltan_FLOAT), DIMENSION(*) or REAL(Zoltan_DOUBLE), DIMENSION(*) or TYPE(Zoltan_User_Data_x) where x is 1, 2, 3 or 4. See the section on Fortran query functions for an explanation. |
| Function Type: | ZOLTAN_PACK_OBJ_FN_MULTI_TYPE |
| Arguments: | |
| data | Pointer to user-defined data. |
| num_gid_entries | The number of array entries used to describe a single global ID. This value is the maximum value over all processors of the parameter NUM_GID_ENTRIES. |
| num_lid_entries | The number of array entries used to describe a single local ID. This value is the maximum value over all processors of the parameter NUM_LID_ENTRIES. |
| num_ids | The number of objects to be packed. |
| global_ids | An array of global IDs of the objects. The ID for the i-th object begins in global_ids[i*num_gid_entries]. |
| local_ids | An array of local IDs of the objects. The ID for the i-th object begins in local_ids[i*num_lid_entries]. |
| dest | An array of destination part numbers (i.e., the parts to which the objects are being sent) |
| sizes | An array containing the per-object sizes (in bytes) of the communication buffer for each object. Each value is at least as large as the corresponding value returned by the ZOLTAN_OBJ_SIZE_MULTI_FN or ZOLTAN_OBJ_SIZE_FN query function; it may be slightly larger due to padding for data alignment in the buffer. |
| idx | For each object, an index into the buf array giving the starting location of that object's data. Data for the i-th object are stored in buf[idx[i]], buf[idx[i]+1], ..., buf[idx[i]+sizes[i]-1]. Because Zoltan adds some tag information to packed data, idx[i] != sum[j=0,i-1](sizes[j]). |
| buf | The address of the communication buffer into which the objects' data should be packed. |
| ierr | Error code to be set by function. |
| C and C++: |
typedef void ZOLTAN_UNPACK_OBJ_FN
(
void *data, int num_gid_entries, ZOLTAN_ID_PTR global_id, int size, char *buf, int *ierr); |
| FORTRAN: | SUBROUTINE Unpack_Obj(data, num_gid_entries, global_id,
size, buf, ierr)
<type-data>, INTENT(INOUT) :: data INTEGER(Zoltan_INT), INTENT(IN) :: num_gid_entries INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: global_id INTEGER(Zoltan_INT), INTENT(IN) :: size INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: buf INTEGER(Zoltan_INT), INTENT(OUT) :: ierr <type-data> can be any of INTEGER(Zoltan_INT), DIMENSION(*) or REAL(Zoltan_FLOAT), DIMENSION(*) or REAL(Zoltan_DOUBLE), DIMENSION(*) or TYPE(Zoltan_User_Data_x) where x is 1, 2, 3 or 4. See the section on Fortran query functions for an explanation. |
| Function Type: | ZOLTAN_UNPACK_OBJ_FN_TYPE |
| Arguments: | |
| data | Pointer to user-defined data. |
| num_gid_entries | The number of array entries used to describe a single global ID. This value is the maximum value over all processors of the parameter NUM_GID_ENTRIES. |
| global_id | The global ID of the object whose data has been received in the communication buffer. |
| size | The size (in bytes) of the object's data in the communication buffer. This value is at least as large as the value returned by the ZOLTAN_OBJ_SIZE_MULTI_FN or ZOLTAN_OBJ_SIZE_FN query function; it may be slightly larger due to padding for data alignment in the buffer. |
| buf | The starting address of the communication buffer for this object. |
| ierr | Error code to be set by function. |
| C and C++: |
typedef void ZOLTAN_UNPACK_OBJ_MULTI_FN
(
void *data, int num_gid_entries, int num_ids, ZOLTAN_ID_PTR global_ids, int *sizes, int *idx, char *buf, int *ierr); |
| FORTRAN: | SUBROUTINE Unpack_Obj_Multi(data, num_gid_entries, num_ids, global_ids,
sizes, idx, buf, ierr)
<type-data>, INTENT(INOUT) :: data INTEGER(Zoltan_INT), INTENT(IN) :: num_gid_entries INTEGER(Zoltan_INT), INTENT(IN) :: num_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: global_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: sizes INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: idx INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: buf INTEGER(Zoltan_INT), INTENT(OUT) :: ierr <type-data> can be any of INTEGER(Zoltan_INT), DIMENSION(*) or REAL(Zoltan_FLOAT), DIMENSION(*) or REAL(Zoltan_DOUBLE), DIMENSION(*) or TYPE(Zoltan_User_Data_x) where x is 1, 2, 3 or 4. See the section on Fortran query functions for an explanation. |
| Function Type: | ZOLTAN_UNPACK_OBJ_MULTI_FN_TYPE |
| Arguments: | |
| data | Pointer to user-defined data. |
| num_gid_entries | The number of array entries used to describe a single global ID. This value is the maximum value over all processors of the parameter NUM_GID_ENTRIES. |
| num_ids | The number of objects to be unpacked. |
| global_ids | An array of global IDs of the objects. The ID for the i-th object begins in global_ids[i*num_gid_entries]. |
| sizes | An array containing the per-object sizes (in bytes) of the communication buffer for each object. Each value is at least as large as the corresponding value returned by the ZOLTAN_OBJ_SIZE_MULTI_FN or ZOLTAN_OBJ_SIZE_FN query function; it may be slightly larger due to padding for data alignment in the buffer. |
| idx | For each object, an index into the buf array giving the starting location of that object's data. Data for the i-th object are stored in buf[idx[i]], buf[idx[i]+1], ..., buf[idx[i]+sizes[i]-1]. Because Zoltan adds some tag information to packed data, idx[i] != sum[j=0,i-1](sizes[j]). |
| buf | The address of the communication buffer from which data is unpacked. |
| ierr | Error code to be set by function. |
| C and C++: |
typedef void ZOLTAN_PRE_MIGRATE_PP_FN
(
void *data, int num_gid_entries, int num_lid_entries, int num_import, ZOLTAN_ID_PTR import_global_ids, ZOLTAN_ID_PTR import_local_ids, int *import_procs, int *import_to_part, int num_export, ZOLTAN_ID_PTR export_global_ids, ZOLTAN_ID_PTR export_local_ids, int *export_procs, int *export_to_part, int *ierr); |
| FORTRAN: | SUBROUTINE Pre_Migrate_PP(data, num_gid_entries, num_lid_entries,
num_import, import_global_ids, import_local_ids, import_procs, import_to_part, num_export,
export_global_ids, export_local_ids, export_procs, export_to_part, ierr)
<type-data>, INTENT(INOUT) :: data INTEGER(Zoltan_INT), INTENT(IN) :: num_gid_entries, num_lid_entries INTEGER(Zoltan_INT), INTENT(IN) :: num_import, num_export INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_global_ids, export_global_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_local_ids, export_local_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_procs, export_procs INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_to_part, export_to_part INTEGER(Zoltan_INT), INTENT(OUT) :: ierr <type-data> can be any of INTEGER(Zoltan_INT), DIMENSION(*) or REAL(Zoltan_FLOAT), DIMENSION(*) or REAL(Zoltan_DOUBLE), DIMENSION(*) or TYPE(Zoltan_User_Data_x) where x is 1, 2, 3 or 4. See the section on Fortran query functions for an explanation. |
| Function Type: | ZOLTAN_PRE_MIGRATE_PP_FN_TYPE |
| Arguments: | |
| data | Pointer to user-defined data. |
| num_gid_entries | The number of array entries used to describe a single global ID. This value is the maximum value over all processors of the parameter NUM_GID_ENTRIES. |
| num_lid_entries | The number of array entries used to describe a single local ID. This value is the maximum value over all processors of the parameter NUM_LID_ENTRIES. |
| num_import | The number of objects that will be received by this processor. |
| import_global_ids | An array of num_import global IDs of objects to be received by this processor. This array may be NULL, as the processor does not necessarily need to know which objects it will receive. |
| import_local_ids | An array of num_import local IDs of objects to be received by this processor. This array may be NULL, as the processor does not necessarily need to know which objects it will receive. |
| import_procs | An array of size num_import listing the processor IDs of the source processors. This array may be NULL, as the processor does not necessarily need to know which objects is will receive. |
| import_to_part | An array of size num_import listing the parts to which objects will be imported. This array may be NULL, as the processor does not necessarily need to know from which objects it will receive. |
| num_export | The number of objects that will be sent from this processor to other processors. |
| export_global_ids | An array of num_export global IDs of objects to be sent from this processor. |
| export_local_ids | An array of num_export local IDs of objects to be sent from this processor. |
| export_procs | An array of size num_export listing the processor IDs of the destination processors. |
| export_to_part | An array of size num_export listing the parts to which objects will be sent. |
| ierr | Error code to be set by function. |
| Default: | |
| No pre-processing is done if a ZOLTAN_PRE_MIGRATE_PP_FN is not registered. |
| C and C++: |
typedef void ZOLTAN_MID_MIGRATE_PP_FN (
void *data, int num_gid_entries, int num_lid_entries, int num_import, ZOLTAN_ID_PTR import_global_ids, ZOLTAN_ID_PTR import_local_ids, int *import_procs, int *import_to_part, int num_export, ZOLTAN_ID_PTR export_global_ids, ZOLTAN_ID_PTR export_local_ids, int *export_procs, int *export_to_part, int *ierr); |
| FORTRAN: | SUBROUTINE Mid_Migrate_PP(data, num_gid_entries, num_lid_entries,
num_import, import_global_ids, import_local_ids, import_procs, import_to_part, num_export,
export_global_ids, export_local_ids, export_procs, export_to_part, ierr)
<type-data>, INTENT(INOUT) :: data INTEGER(Zoltan_INT), INTENT(IN) :: num_gid_entries, num_lid_entries INTEGER(Zoltan_INT), INTENT(IN) :: num_import, num_export INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_global_ids, export_global_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_local_ids, export_local_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_procs, export_procs INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_to_part, export_to_part INTEGER(Zoltan_INT), INTENT(OUT) :: ierr <type-data> can be any of INTEGER(Zoltan_INT), DIMENSION(*) or REAL(Zoltan_FLOAT), DIMENSION(*) or REAL(Zoltan_DOUBLE), DIMENSION(*) or TYPE(Zoltan_User_Data_x) where x is 1, 2, 3 or 4. See the section on Fortran query functions for an explanation. |
| Function Type: | ZOLTAN_MID_MIGRATE_PP_FN_TYPE |
| Arguments: | |
| data | Pointer to user-defined data. |
| num_gid_entries | The number of array entries used to describe a single global ID. This value is the maximum value over all processors of the parameter NUM_GID_ENTRIES. |
| num_lid_entries | The number of array entries used to describe a single local ID. This value is the maximum value over all processors of the parameter NUM_LID_ENTRIES. |
| num_import | The number of objects that will be received by this processor. |
| import_global_ids | An array of num_import global IDs of objects to be received by this processor. This array may be NULL, as the processor does not necessarily need to know which objects it will receive. |
| import_local_ids | An array of num_import local IDs of objects to be received by this processor. This array may be NULL, as the processor does not necessarily need to know which objects it will receive. |
| import_procs | An array of size num_import listing the processor IDs of the source processors. This array may be NULL, as the processor does not necessarily need to know which objects is will receive. |
| import_to_part | An array of size num_import listing the parts to which objects will be imported. This array may be NULL, as the processor does not necessarily need to know from which objects it will receive. |
| num_export | The number of objects that will be sent from this processor to other processors. |
| export_global_ids | An array of num_export global IDs of objects to be sent from this processor. |
| export_local_ids | An array of num_export local IDs of objects to be sent from this processor. |
| export_procs | An array of size num_export listing the processor IDs of the destination processors. |
| export_to_part | An array of size num_export listing the parts to which objects will be sent. |
| ierr | Error code to be set by function. |
| Default: | |
| No processing is done if a ZOLTAN_MID_MIGRATE_PP_FN is not registered. |
| C and C++: |
typedef void ZOLTAN_POST_MIGRATE_PP_FN (
void *data, int num_gid_entries, int num_lid_entries, int num_import, ZOLTAN_ID_PTR import_global_ids, ZOLTAN_ID_PTR import_local_ids, int *import_procs, int *import_to_part, int num_export, ZOLTAN_ID_PTR export_global_ids, ZOLTAN_ID_PTR export_local_ids, int *export_procs, int *export_to_part, int *ierr); |
| FORTRAN: | SUBROUTINE Post_Migrate_PP(data, num_gid_entries, num_lid_entries,
num_import, import_global_ids, import_local_ids, import_procs, import_to_part, num_export,
export_global_ids, export_local_ids, export_procs, export_to_part, ierr)
<type-data>, INTENT(INOUT) :: data INTEGER(Zoltan_INT), INTENT(IN) :: num_gid_entries, num_lid_entries INTEGER(Zoltan_INT), INTENT(IN) :: num_import, num_export INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_global_ids, export_global_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_local_ids, export_local_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_procs, export_procs INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_to_part, export_to_part INTEGER(Zoltan_INT), INTENT(OUT) :: ierr <type-data> can be any of INTEGER(Zoltan_INT), DIMENSION(*) or REAL(Zoltan_FLOAT), DIMENSION(*) or REAL(Zoltan_DOUBLE), DIMENSION(*) or TYPE(Zoltan_User_Data_x) where x is 1, 2, 3 or 4. See the section on Fortran query functions for an explanation. |
| Function Type: | ZOLTAN_POST_MIGRATE_PP_FN_TYPE |
| Arguments: | |
| data | Pointer to user-defined data. |
| num_gid_entries | The number of array entries used to describe a single global ID. This value is the maximum value over all processors of the parameter NUM_GID_ENTRIES. |
| num_lid_entries | The number of array entries used to describe a single local ID. This value is the maximum value over all processors of the parameter NUM_LID_ENTRIES. |
| num_import | The number of objects that will be received by this processor. |
| import_global_ids | An array of num_import global IDs of objects to be received by this processor. This array may be NULL, as the processor does not necessarily need to know which objects it will receive. |
| import_local_ids | An array of num_import local IDs of objects to be received by this processor. This array may be NULL, as the processor does not necessarily need to know which objects it will receive. |
| import_procs | An array of size num_import listing the processor IDs of the source processors. This array may be NULL, as the processor does not necessarily need to know which objects is will receive. |
| import_to_part | An array of size num_import listing the parts to which objects will be imported. This array may be NULL, as the processor does not necessarily need to know from which objects it will receive. |
| num_export | The number of objects that will be sent from this processor to other processors. |
| export_global_ids | An array of num_export global IDs of objects to be sent from this processor. |
| export_local_ids | An array of num_export local IDs of objects to be sent from this processor. |
| export_procs | An array of size num_export listing the processor IDs of the destination processors. |
| export_to_part | An array of size num_export listing the parts to which objects will be sent. |
| ierr | Error code to be set by function. |
| Default: | |
| No post-processing is done if a ZOLTAN_POST_MIGRATE_PP_FN is not registered. |
| C: |
typedef void ZOLTAN_PRE_MIGRATE_FN
(
void *data, int num_gid_entries, int num_lid_entries, int num_import, ZOLTAN_ID_PTR import_global_ids, ZOLTAN_ID_PTR import_local_ids, int *import_procs, int num_export, ZOLTAN_ID_PTR export_global_ids, ZOLTAN_ID_PTR export_local_ids, int *export_procs, int *ierr); |
| FORTRAN: | SUBROUTINE Pre_Migrate(data, num_gid_entries, num_lid_entries,
num_import, import_global_ids, import_local_ids, import_procs, num_export,
export_global_ids, export_local_ids, export_procs, ierr)
<type-data>, INTENT(INOUT) :: data INTEGER(Zoltan_INT), INTENT(IN) :: num_gid_entries, num_lid_entries INTEGER(Zoltan_INT), INTENT(IN) :: num_import, num_export INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_global_ids, export_global_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_local_ids, export_local_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_procs, export_procs INTEGER(Zoltan_INT), INTENT(OUT) :: ierr <type-data> can be any of INTEGER(Zoltan_INT), DIMENSION(*) or REAL(Zoltan_FLOAT), DIMENSION(*) or REAL(Zoltan_DOUBLE), DIMENSION(*) or TYPE(Zoltan_User_Data_x) where x is 1, 2, 3 or 4. See the section on Fortran query functions for an explanation. |
| Function Type: | ZOLTAN_PRE_MIGRATE_FN_TYPE |
| Arguments: | |
| All arguments are analogous to those in ZOLTAN_PRE_MIGRATE_PP_FN. Part-assignment arguments import_to_part and export_to_part are not included, as processor and parts numbers are considered to be the same in Zoltan_Help_Migrate. | |
| Default: | |
| No pre-processing is done if a ZOLTAN_PRE_MIGRATE_FN is not registered. |
| C: |
typedef void ZOLTAN_MID_MIGRATE_FN (
void *data, int num_gid_entries, int num_lid_entries, int num_import, ZOLTAN_ID_PTR import_global_ids, ZOLTAN_ID_PTR import_local_ids, int *import_procs, int num_export, ZOLTAN_ID_PTR export_global_ids, ZOLTAN_ID_PTR export_local_ids, int *export_procs, int *ierr); |
| FORTRAN: | SUBROUTINE Mid_Migrate(data, num_gid_entries, num_lid_entries,
num_import, import_global_ids, import_local_ids, import_procs, num_export,
export_global_ids, export_local_ids, export_procs, ierr)
<type-data>, INTENT(INOUT) :: data INTEGER(Zoltan_INT), INTENT(IN) :: num_gid_entries, num_lid_entries INTEGER(Zoltan_INT), INTENT(IN) :: num_import, num_export INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_global_ids, export_global_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_local_ids, export_local_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_procs, export_procs INTEGER(Zoltan_INT), INTENT(OUT) :: ierr <type-data> can be any of INTEGER(Zoltan_INT), DIMENSION(*) or REAL(Zoltan_FLOAT), DIMENSION(*) or REAL(Zoltan_DOUBLE), DIMENSION(*) or TYPE(Zoltan_User_Data_x) where x is 1, 2, 3 or 4. See the section on Fortran query functions for an explanation. |
| Function Type: | ZOLTAN_MID_MIGRATE_FN_TYPE |
| Arguments: | |
| All arguments are analogous to those in ZOLTAN_MID_MIGRATE_PP_FN. Part-assignment arguments import_to_part and export_to_part are not included, as processor and parts numbers are considered to be the same in Zoltan_Help_Migrate. | |
| Default: | |
| No processing is done if a ZOLTAN_MID_MIGRATE_FN is not registered. |
| C: |
typedef void ZOLTAN_POST_MIGRATE_FN (
void *data, int num_gid_entries, int num_lid_entries, int num_import, ZOLTAN_ID_PTR import_global_ids, ZOLTAN_ID_PTR import_local_ids, int *import_procs, int num_export, ZOLTAN_ID_PTR export_global_ids, ZOLTAN_ID_PTR export_local_ids, int *export_procs, int *ierr); |
| FORTRAN: | SUBROUTINE Post_Migrate(data, num_gid_entries, num_lid_entries,
num_import, import_global_ids, import_local_ids, import_procs, num_export,
export_global_ids, export_local_ids, export_procs, ierr)
<type-data>, INTENT(INOUT) :: data INTEGER(Zoltan_INT), INTENT(IN) :: num_gid_entries, num_lid_entries INTEGER(Zoltan_INT), INTENT(IN) :: num_import, num_export INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_global_ids, export_global_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_local_ids, export_local_ids INTEGER(Zoltan_INT), INTENT(IN), DIMENSION(*) :: import_procs, export_procs INTEGER(Zoltan_INT), INTENT(OUT) :: ierr <type-data> can be any of INTEGER(Zoltan_INT), DIMENSION(*) or REAL(Zoltan_FLOAT), DIMENSION(*) or REAL(Zoltan_DOUBLE), DIMENSION(*) or TYPE(Zoltan_User_Data_x) where x is 1, 2, 3 or 4. See the section on Fortran query functions for an explanation. |
| Function Type: | ZOLTAN_POST_MIGRATE_FN_TYPE |
| Arguments: | |
| All arguments are analogous to those in ZOLTAN_POST_MIGRATE_PP_FN. Part-assignment arguments import_to_part and export_to_part are not included, as processor and parts numbers are considered to be the same in Zoltan_Help_Migrate. | |
| Default: | |
| No post-processing is done if a ZOLTAN_POST_MIGRATE_FN is not registered. |


Just keep Swimming
One of the most famous stories of the Gospels is when Jesus calms the storm.
“Late that day he said to them, “Let’s go across to the other side.” They took him in the boat as he was.  Waves poured into the boat, threatening to sink it. And Jesus was in the stern, head on a pillow, sleeping! They roused him, saying, “Teacher, is it nothing to you that we’re going down?”
Awake now, he told the wind to pipe down and said to the sea, “Quiet! Settle down!” The wind ran out of breath; the sea became smooth as glass.  Don’t you have any faith at all?”
After reading that I could not stop asking myself why did Jesus ask them: Don’t you have any faith at all?
Did Jesus really expect that they would calm the storm themselves? Did he really think that this bunch of fishers, that had never seen something as supernatural as that, would simply think to themselves: “You know what? Since it is being tough to navigate through this storm: Storm, quiet! Settle down!”
While meditating on this text earlier this week, I came to the conclusion that Jesus never asked them to do something superhuman. I don’t think he was expecting them to interfere the natural order of the storm, neither that they would mix some faith with clairvoyance and transform their boat into a motorboat so they could run faster to the shore.
He had spent months with them telling that they would make good things together, big things! They knew he was the Messiah and that their story together was not even close to an end yet. Given this scenario, I can understand his frustration when they just started screaming: “Teacher, is it nothing to you that we’re going down”
He expected them to face the storm. That they would keep using their years of sailing knowledge to stand up against the ocean. You know? Simple things like getting a bucket and start moving water out of the boat, set the boat sail in the proper position, tie their bodies to the boat so they are not thrown away.
My takeaway from this text is that does not matter the size of the storm, your faith in Him and his promises has to be bigger than your fear of death. And it is mystic, it is supernatural, it is against the odds, it is the unspeakable trust in his faithfulness. As Paul wrote to the Phillipians: “There has never been the slightest doubt in my mind that the God who started this great work in you would keep at it and bring it to a flourishing finish on the very day Christ Jesus appears.”
If there is something for us to hold close to our heart is the wise words of a talking fish:
“When life gets you down, you know what you gotta do? Just keep swimming, just keep swimming Just keep swimming, swimming, swimming What do we do? We swim!”


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- 1. Installation Overview
- 2. Pre-requisites
- 3. Installation Procedure
- 4. Installation Complete!
- 5. Appendix
1. Installation Overview
By this time you are excited and want to try out this application. To do so, you will need to install the application on an OpenShift Container Platform (OCP) 4.* environment. The installation of the application on OpenShift is done using Ansible.
Using Ansible, there are two options for the installation of the Emergency Response app on an OCP 4 environment:
-
Pre-built Linux container images
This approach is best suited for those that want to utilize (ie: for a customer demo) the Emergency Response app. This installation approach does not use Jenkins pipelines. Instead, the OpenShift deployments for each component of the Emergency Response application are started using pre-built Linux container images pulled from corresponding public Quay image repositories. With this approach, the typical duration to build the Emergency Response app is about 20 minutes. This is the default installation approach.
-
CI/CD
This approach is best suited for code contributors to the Emergency Response app. Individual Jenkins pipelines are provided for each component of the app. Each pipeline builds from source, tests, creates a Linux container image and deploys that image to OpenShift. The typical duration to build the Emergency Response application from source using these pipelines is about an hour. This approach is also of value if the focus of a demo to a customer and/or partner is to introduce them to CI/CD best practices of a microservice architected application deployed to OpenShift.
2. Pre-requisites
2.1. Local Tooling
To install the Emergency Response application, you will need the following tools on your local machine:
- Unix flavor OS with BASH shell: ie; Fedora, RHEL, CentOS, Ubuntu, OSX
- git
- oc utility v4.2
-
Installation of the Emergency Response application is tested using the ansible-playbook utility from the ansible package of Fedora 31. Others in the community have also succeeded in installing the app using ansible on OSX.
2.2. MapBox Access Token
The Emergency Response application makes use of a third-party SaaS API called MapBox. MapBox APIs provide the Emergency Response application with an optimized route for a responder to travel given pick-up and drop-off locations. To invoke its APIs, MapBox requires an access token. For normal use of the Emergency Response application the free-tier account provides ample rate-limits.
2.3. OpenShift
You can utilize your own vanilla OpenShift 4 environment so long as it meets the minimum requirements described below in this section.  In addition, if there are any errors in the provisioning process of OpenShift, you will have some ability to troubleshoot the problem.
Otherwise, if you are a Red Hat associate or Red Hat partner, you can order an OpenShift 4 environment from Red Hat’s Partner Demo System (RHPDS). Using RHPDS, the minimum requirements described below are met. However, your OpenShift environment will shut down at known periods (typically 10 hours) and will be deleted after a certain duration (typically 2 days). Also, the failure rates of provisioning a base OpenShift from RHPDS are known to be high. (Each provisioning attempt consists of hundreds of steps, many of which rely on third-party services). You may need to attempt numerous times over the course of days. Details pertaining to accessing an OpenShift 4 environment from RHPDS are found in the Appendix of this document.
2.3.1. Minimum Requirements
To install the Emergency Response application, you will need an OpenShift Container Platform environment with the following minimum specs:
- OCP Version: 4.2 (although any version of OpenShift in the 4.* family will most likely work)
- Memory: 24 GBi allocated to one or more worker node(s)
- CPU: 10 cores allocated to one or more worker nodes
-
Disk: 50 GB of storage that supports Read Write Once (RWO).
NOTE: The Emergency Response application currently does not require Read-Write-Many (RWX).
- Credentials: You will need cluster-admin credentials to your OpenShift environment.
-
CA signed certificate: Optional
Preferably, all public routes of your Emergency Response application utilize a SSL certificate signed by a legitimate certificate authority. ie: LetsEncrypt
- Non cluster-admin users: The Emergency Response application will be owned by a non cluster-admin project administrator. In your OpenShift environment, you will need one or more non cluster-admin users to serve this purpose. In Code Ready Containers, the default non cluster-admin user is: developer . In other OpenShift clusters, the convention tends to be: user[1-200].
- Pull Secret: Some Linux container images used in the Emergency Response application reside in the following secured image registry: registry.redhat.io. Those images will need to be pulled to your OpenShift 4 environment. As part of the installation of OCP4, you should have already been prompted to provide your pull secret that enables access to various secured registries to include regisry.redhat.io.
3. Installation Procedure
Now that you have an OpenShift environment that meets the minimum requirements, you can now layer the Emergency Response application on that OpenShift.
- Using the oc utility on your local machine, ensure that your are authenticated in your OCP 4 environment as a cluster-admin.
- Using the git utility on your local machine, clone the install project of the Emergency Response application:
git clone https://github.com/Emergency-Response-Demo/install.git
This installer uses Ansible. There is a comprehensive list of roles and playbooks that install the application.
- Change directories into the ansible directory of the cloned project:
cd install/ansible
- Copy the inventory.template
cp inventories/inventory.template inventories/inventory
- Using your favorite text editor, open the copied file: inventories/inventory
- Replace the sample MapBox access token (
map_token
) with a real MapBox token.# MapBox API token, see https://docs.mapbox.com/help/how-mapbox-works/access-tokens/ map_token=pk.egfdgewrthfdiamJyaWRERKLJWRIONEWRwerqeGNjamxqYjA2323czdXBrcW5mbmg0amkifQ.iBEb0APX1Vmo-2934rj
- Save the changes.
- Set an environment variable that reflects the userId of your non cluster-admin user. ie:
OCP_USERNAME=user1
You will now execute the ansible to install the Emergency Response application. Select one of the following two approaches: Pre-built Images or CI/CD
3.1. Pre-built Images
This approach is best suited for those that want to utilize (ie: for a customer demo) the Emergency Response app. This installation approach does not use Jenkins pipelines. Instead, the OpenShift deployments for each component of the Emergency Response application are started using pre-built Linux container images pulled from corresponding public Quay image repositories. With this approach, the typical duration to build the Emergency Response app is about 20 minutes. This is the default installation approach.
- From the install/ansible directory, kick-off the Emergency Response app provisioning:
ansible-playbook -i inventories/inventory playbooks/install.yml \ -e project_admin=$OCP_USERNAME
- After about 20 minutes, you should see ansible log messages similar to the following:
PLAY RECAP ******************************************************************************** localhost : ok=432 changed=240 unreachable=0 failed=0 skipped=253 rescued=0 ignored=0
3.2. CI/CD
This approach is best suited for code contributors to the Emergency Response app. Individual Jenkins pipelines are provided for each component of the app. Each pipeline builds from source, tests, creates a Linux container image and deploys that image to OpenShift. The typical duration to build the Emergency Response application from source using these pipelines is about an hour. This approach is also of value if the focus of a demo to a customer and/or partner is to introduce them to CI/CD best practices of a microservice architected application deployed to OpenShift.
- From the install/ansible directory, kick-off the Emergency Response app provisioning:
ansible-playbook -i inventories/inventory playbooks/install.yml \ -e deploy_from=source \ -e project_admin=$OCP_USERNAME
-
After about an hour, the provisioning should be complete.
- You can review any of the CI/CD pipelines that ran as part of this provisioning process:
- List all build pipelines:
oc get build -n $OCP_USERNAME-tools-erd | grep pipeline ... user2-incident-service-pipeline-1 JenkinsPipeline Complete 2 hours ago user2-mission-service-pipeline-1 JenkinsPipeline Complete 2 hours ago user2-responder-service-pipeline-1 JenkinsPipeline Complete 2 hours ago user2-assignment-rules-model-pipeline-1 JenkinsPipeline Complete 2 hours ago
- From that list, pick any of the builds to get the URL to the corresponding Jenkins pipeline:
oc logs user2-incident-service-pipeline-1 -n $OCP_USERNAME-tools-erd info: logs available at https://jenkins-user2-tools-erd.apps.cluster-denver-8ab6.denver-8ab6.example.opentlc.com/blue/organizations/jenkins/user2-tools-erd%2Fuser2-tools-erd-user2-mission-service-pipeline/detail/user2-tools-erd-user2-mission-service-pipeline/1/
- Open a browser tab and navigate to the provided URL:
- List all build pipelines:
3.3. Uninstalling
To uninstall:
$ ansible-playbook playbooks/install.yml \
-e ACTION=uninstall \
-e project_admin=$OCP_USERNAME
4. Installation Complete!
Now that installation of the Emergency Response app is complete, you should be able to navigate your browser to the following URLs:
- Emergency Response Console
echo -en "\nhttps://$(oc get route $OCP_USERNAME-emergency-console -n $OCP_USERNAME-er-demo --template='')\n\n"
- Disaster Simulator
echo -en "\nhttp://$(oc get route $OCP_USERNAME-disaster-simulator -n $OCP_USERNAME-er-demo --template='')\n\n"
Further details regarding how to run this demo can be found in the Getting Started page.
5. Appendix
5.1. OCP4 from RHPDS
The Red Hat Product Demo System (RHPDS) provides a wide variety of cloud-based labs and demos showcasing Red Hat software. One of the offerings from RHPDS is a cloud-based OCP 4 environment that meets all of the minimum requirements to support an installation of the Emergency Response application. The default shutdown and lifetime durations of this environment are as follows:
-
Runtime: 10 hours; You have the ability to extend the runtime (one time only) and re-start if it was shutdown.
-
Lifetime: 2 days; You have the ability
To utilize RHPDS, you will need the following:
- OPENTLC credentials. OPENTLC credentials are available only to Red Hat associates and Red Hat partners.
- SFDC Opportunity, Campaign ID or Partner Registration
5.1.1. Order OCP4
-
In a web browser, navigate to the Red Hat Product Demo System at: Red Hat Product Demo System.
-
Authenticate using your OPENTLC credentials, for example:
johndoe-redhat.com
. -
Navigate to the following catalog: `Services → Service Catalogs → Workshops.
-
Select the following catalog item:
OpenShift 4.2 Workshop
. -
Click
Order
on the next page. -
In the subsequent order form, add in details similar to the following:
-
At the bottom of the same page, click
Submit
.
5.1.2. Confirmation Emails
The provisioning of your OpenShift environment from RHPDS typically takes about 1 hour.
Upon ordering the lab environment, you will receive the following various confirmation emails:
- Your RHPDS service provision request has started: This email should arrive within minutes of having ordered the environment.
- Your RHPDS service provision request has updated: You will receive one or more of these emails indicating that the OCP 4 provisioning process continues to proceed.
-
Your RHPDS service provision request has completed:
- Read through this email in its entirety and save !
- This email includes details regarding its deletion date.
- This email also includes URLs to the OpenShift Web Console as well as the OpenShift Master API.
-
Also included is the userId and password of the OpenShift cluster-admin user.
5.1.3. Access
- Upon reading through the completion email, you should authenticate into the OpenShift environment as a cluster admin. You will execute a command similar to the following:
oc login https://api.cluster-242b.242b.example.opentlc.com:6443 -u <cluster-admin user> -p '<cluster-admin passwd>'
- Validate the existance of all master and worker nodes:
oc adm top nodes NAME CPU(cores) CPU% MEMORY(bytes) MEMORY% ip-10-0-138-177.ap-southeast-1.compute.internal 456m 13% 2632Mi 17% ip-10-0-141-34.ap-southeast-1.compute.internal 332m 2% 3784Mi 5% ip-10-0-145-167.ap-southeast-1.compute.internal 598m 17% 2847Mi 18% ip-10-0-150-7.ap-southeast-1.compute.internal 341m 2% 3445Mi 5% ip-10-0-167-23.ap-southeast-1.compute.internal 173m 1% 2699Mi 4% ip-10-0-173-229.ap-southeast-1.compute.internal 567m 16% 3588Mi 23%
-
Verify login access using non cluster-admin user(s):
-
Your OpenShift environment from RHPDS is pre-configured with 200 non cluster-admin users. Details of these users is as follows:
- userId: user[1-200] ; (ie: user1, user2, user3, etc)
- passwd: see this doc for details.
- Using the credentials of one of these users, verify you can authenticate into OpenShift:
oc login -u user1 -p <password> ... Login successful. You don't have any projects. You can try to create a new project, by running oc new-project <projectname>
- Re-authenticate back as cluster-admin:
oc login -u <cluster admin user> -p <cluster admin passwd>
- View the various users that have authenticated into OpenShift:
oc get identity
Now that your OpenShift 4 environment has been provisioned from RHPDS, please return to the section above entitled: Installation Procedure.
-


{% include "include/meta-header.html" %}
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-
Class Summary
| Class |
Description |
| BitFlipMutation |
|
| CDGMutation |
This class implements a polynomial mutation operator
The implementation is based on the NSGA-II code available in
http://www.iitk.ac.in/kangal/codes.shtml
If the lower and upper bounds of a variable are the same, no mutation is carried out and the
bound value is returned.
|
| CharSequenceRandomMutation |
This class implements a swap mutation.
|
| CompositeMutation |
This class allows to apply a list of crossover operator on the solutions belonging to a list of
CompositeSolution objects.
|
| GenericBitFlipMutation<S extends BinarySolution> |
|
| GroupedAndLinkedPolynomialMutation |
This class implements the grouped and linked polynomial mutation operator presented in:
https://doi.org/10.1109/SSCI.2016.7850214
|
| GroupedPolynomialMutation |
This class implements the grouped polynomial mutation operator presented in:
https://doi.org/10.1109/SSCI.2016.7850214
|
| IntegerPolynomialMutation |
This class implements a polynomial mutation operator to be applied to Integer solutions
If the lower and upper bounds of a variable are the same, no mutation is carried out and the
bound value is returned.
|
| LinkedPolynomialMutation |
This class implements the linked polynomial mutation operator presented in: https://doi.org/10.1109/SSCI.2016.7850214
|
| NonUniformMutation |
This class implements a non-uniform mutation operator.
|
| NullMutation<S> |
This class is intended to perform no mutation.
|
| PermutationSwapMutation<T> |
This class implements a swap mutation.
|
| PolynomialMutation |
This class implements a polynomial mutation operator
|
| SimpleRandomMutation |
This class implements a random mutation operator for double solutions
|
| UniformMutation |
This class implements a uniform mutation operator.
|


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Bullet points are noted as enumerations.
All new headers are new flashcards.
If one header borders under another, it will be ignored.
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Other special content will be converted into content.
Every spacing marks a new flashcard.
Upload your own notes by dragging them into the box below.


Built-in the Brooklyn-based 10xBeta labs, the innovative, giant red vending machine is designed to resemble the game’s most iconic character and lets you vent out all your daily frustrations by punching, shaking, and even shouting at it. To allow this, the “venting machine” is constructed with a soft foam outer shell along with handlebars and a microphone, and features a screen in the front to display “damage” when you attack it. It even has a camera installed to record your venting session, and the clip will be aired on a billboard in Times Square where the machine will be stationed.
For those lucky enough to be in the neighborhood, the Angry Birds “venting machine” will only be available for one day on November 21 from 12 p.m. to 8 p.m., and you can find it in the middle of Times Square in New York City.
Elsewhere in gaming, take a first look at Nintendo’s official store in Japan.


Turtututu.io is probably the fastest solution to get a databs going for web and serverless applications. Model your information quickly. The data management application, schema and REST API are instantly available.
Designed for the modern web with high performance REST API and NoSQL MongoDB query language, server-side codehooks, user authentification (Auth0), Media Archive, Realtime messages and secure Ajax/CORS.
Collaboration and work with data in a workspace on your desktop, laptop or smartphone. Quickly search trough all your data. Secure access with roles.
Turtututu.com databases can also serve web pages. Use HTML, Javascript, jQuery, Angular, ReactJS (or your favorite framework) on turlututu.com Pages with server-side data-binding.
Productive Hunt


var userEnter=prompt('What was your race time in seconds?')
var raceTime = [230, 540, 660]
var winPosition = ['1', '2', '3']
var suffix = ['st', 'nd', 'rd', 'th']
var firstName = ['Brian', 'Brenda','Colin']
var classMates = ['Anam', 'Karl', 'Erind', 'Gareth', ' Dane', 'Ella', 'Jason']
// for loop practice i refers to index. i is normally set at 0 by defaul
for (classIndex=0; classIndex= nationAvg) {
document.write(firstName[1] + ' has a time of ' + raceTime[1] + ' which is greater than the national average of 530 seconds');
}


ZOOLANDER ---------
Derek Zoolander (Ben Stiller, "Meet the Parents") has been the Male Model of the year for three year's running with his patented "Blue Steel" look. When the extreme sports, New Age Hansel (Owen Wilson, "Meet the Parents") takes his title in year four, Zoolander decides that 'there's more to life than just being really, really good looking, and I plan on finding out what it is.' Meanwhile, an evil fashion conglomerate determined to keep their pocket-gouging profits intact needs an assassin to rub out the prime minister of Malaysia in order to keep its foreign child labor pool stitching away. Hot designer Mugatu (Will Ferrell, "Jay and Silent Bob Strike Back") is tasked
with luring Derek back into the fashion world and programming him to kill in "Zoolander."
Cross the colorful pop silliness of spy spoof "Austin Powers" with the dimwitted, albeit good-hearted, vanity of "Clueless'" central character and birth is given to cowriter/director Ben Stiller's "Zoolander." While not as witty as the latter, Jane Austen-inspired film, "Zoolander" has enough inspired goofiness to maintain a consistent giggle fit.
After establishing the dominance of Zoolander in the fashion world, Stiller batters his creation's self esteem. His loss of Male Model of the Year (in a year when Fabio wins the 'slashie' for model/actor) is followed by an unflattering Time Magazine cover feature by Matilda (Stiller's wife Christine Taylor, "The Brady Bunch Movie"). Then, when his three male model roommates attempt to cheer him up with a mini-road trip, they perish in a 'freak gasoline fight accident.' The now-lone inhabitant of a four-way bunk bed decides to head for home (in matching bone snakeskin suit and wardrobe bag) to work with his father (Jon Voight) and brothers in the coal mines of New Jersey, but he's rebuffed for his former, unmanly profession.
Mugatu, who's never used Zoolander in one of his campaigns before, appeals to his vanity by asking him to be the spokesmodel for his new 'Derelicte' line (inspired by the homeless). Whisked away to a hidden inner-city day spa by the Russian S&M clad Katinka (Milla Jovovich, "The Fifth Element"), Zoolander's brainwashed. Luckily, regretful Time reporter Matilda, attempting to make amends, begins to smell a rat.
Writers Stiller, John Hamburg ("Meet the Parents") and Drake Sather ("The MTV Movie Awards") hang juvenile humor (Derek's roomies communicate with a string of 'Earth to's) and spot on parodies (the personality profiles of Zoolander and Hansel at the awards ceremony) on a recycled plot they wisely realize doesn't matter. Director Stiller weaves the written silliness with visual jokes and highlights the whole affair with celebrity cameos that come at the audience every few minutes. Zoolander's brainwashing scene utilizes retro pop-art and music video imagery to its best effect while his 'walk-off' with Hansel, a split-screen, gun-slinging parody set to Michael Jackson's 'Beat It' is the film's comic highlight. Inventive production design by Robin Standefer ("The Caveman's Valentine") climaxes with Hansel's 'all things exotic and New Age' mishmash of a loft space including a 'dirt room' where Matilda's treated to a menage a trois. Costume design by David C. Robinson ("Pollock") is a mixture of the made-up outrageous (Mugatu's garbage-inspired 'Derelicte' line) with the already outrageous.
Stiller combines a 'sucking-in-cheeks' zoned-out look with exaggerated poses, while Wilson's more natural as the scooter-riding High Times cover boy. Amazingly, Taylor makes her straight-woman role work while Jovovich gets laughs from her femme fatale makeup design. Stiller's dad Jerry gets some Catskill-style yuks as Zoolander's manager Maury Ballstein. The only disappointment is the usually reliable Will Ferrell who only gets laughs from his Klaus Nomi hairstyle. Hair also gets laughs when we're introduced to Zoolander's dad, Jon Voight, and brothers (Vince Vaughn is one) who sport the same, dark brushcut as their model relative. The style shows up again on David Duchovny, an informant hand model.
B+
For more Reeling reviews visit www.reelingreviews.com
<EMAIL_ADDRESS><EMAIL_ADDRESS>========== X-RAMR-ID: 29640 X-Language: en X-RT-ReviewID: 252205 X-RT-TitleID: 1110145 X-RT-SourceID: 386 X-RT-AuthorID: 1487
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


High Noon (1952)
Grade: 94
"High Noon" is one of the best Western films ever made, but it is really about character: doing what you believe is right, even if nobody supports you, even if it means risking your life. Gary Cooper's Will Kane is the very definition of 'character' and 'duty'.
Cooper is retiring as the sheriff of a small town, to run a store in a distant town with young bride Grace Kelly (in her first significant role). He is about to leave town when a telegram arrives: four ex-convict gunmen are coming to town at Noon to kill him, since he was the man who sent them 'up the river.'
Cooper is unable to get anyone to stand with him against the gunmen. His friends tell him to leave town, his enemies simply want him dead. Cooper must face the gunmen alone.
Will Kane's character keeps him from getting help. He turns down help from several people who are too young or too incompetent to face the gunmen. He refuses to strike a deal with immature deputy Lloyd Bridges, because it would not be the right thing to do. He asks, but does not demand or cajole, others to stand with him. His new bride threatens to leave him if he stays, but Kane won't turn from duty. During the climatic gun battle, he takes the time to free horses from a burning barn, and he steps in front of a gun to prevent his wife from being taken hostage. All of this for an undeserving, ungrateful town.
This example of exemplary character reminds me of "A Man For All Seasons", which had Sir Thomas More refusing to sanction the divorce of King Henry VIII. Kane, and More, value their integrity more than their lives, even more than their family's welfare. They will do what they feel is right, despite friends and family telling them to do otherwise. But while More fought his lost cause with words, Kane is not a man of words. He spends much of the film in stunned silence, disbelieving that no one will stand by him. Without complex arguments to support himself, Kane is even more alone than More was. Both films were directed by Fred Zinnemann.
The film's tension is ever present and increasing. There are frequent shots of various clocks, with the hands approaching Noon. Like "Rope", the movie was filmed in real-time. There is only one comic relief from the tension: when the children are herded from the church, they shout in delight at their unexpected freedom.
"High Noon" has only three obvious flaws. The theme, sung by Tex Ritter in a baleful drone, is reprised again and again. (It did win the Oscar for Best Song). There is also a fight scene between Cooper and Bridges that doesn't quite fit. The four gunmen are interchangeable bad guy stereotypes, but admittedly their characters are not important to the story.
Cooper won Best Actor, and Katy Jurado won Best Supporting Actress. Her character somehow manages to be the former girlfriend of Cooper, Bridges and Ian MacDonald, who plays the lead bad guy. Zinnemann was nominated for Best Director, and the film was nominated for Best Picture and for the script.
<EMAIL_ADDRESS>http://members.tripod.com/~Brian_Koller/movies.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


--- layout: post title: Post a Record with HttpClient categories: [] tags: serviceapi status: publish type: post published: true meta: {} ---
If you are not using the full .Net framework, maybe you have a .Net standard library in a Xamarin application, then you will not have access to System.net.WebClient. In place of this use System.Net.Http.HttpClient. This new sample is a very simple console app demonstrating how to post a JSON request.


Before Change
""")
row1_1_avg = bdb.execute("SELECT AVG(y) FROM row1_1").fetchall()
row1_1_avg = row1_1_avg[0][0]
row1_2_avg = bdb.execute("SELECT AVG(y) FROM row1_2").fetchall()
row1_2_avg = row1_2_avg[0][0]
// We expect these values to be close to each other, because conditioning
// on _rowid_ decouples the dependencies between other variables in the
// CrossCat metamodel.
assert abs(row1_1_avg - row1_2_avg) < 2
After Change
LIMIT 100
""")
row1_1_avg = bdb.execute("SELECT AVG(y) FROM row1_1").fetchall()[0][0]
row1_2_avg = bdb.execute("SELECT AVG(y) FROM row1_2").fetchall()[0][0]
// We expect these values to be close to each other, because conditioning
// on _rowid_ decouples the dependencies between other variables in the
// CrossCat metamodel, so the additional condition on w should have no


UK driver admits two charges after bodies found in truck
A British driver accused of the manslaughter of 39 Vietnamese migrants found dead in a refrigeration truck pleaded guilty on Monday to conspiring to assist illegal immigration.
Maurice Robinson, 25, appeared via video link at London’s Central Criminal Court from the high-security Belmarsh prison, southeast London, and pleaded guilty to two of the 43 charges levelled against him.
The bodies of eight women and 31 men were found in a refrigeration trailer on an industrial estate east of London in the early hours of October 23.
The trailer had earlier arrived on a cargo ferry from the Belgian port of Zeebrugge.
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Robinson, from Northern Ireland, faces 39 charges of manslaughter, conspiracy to traffic people, conspiracy to assist unlawful immigration and money laundering.
Wearing a blue sweatshirt and speaking to confirm his name, age and nationality, Robinson pleaded guilty to conspiring with others “to commit an offence of assisting unlawful immigration”.
He also admitted to the acquisition of cash that came from criminal conduct.
Judge Andrew Eadis ordered that Robinson’s alleged co-conspirators could not be named.
The truck driver did not enter pleas on the other charges, and is due to appear before the same court again on December 13.
– Second driver in court –
Another lorry driver from Northern Ireland was also ordered to appear at the Old Bailey on the same date after a separate court hearing.
Christopher Kennedy, 23, is accused of conspiring to arrange or facilitate the travel of other people with a view to exploitation.
Kennedy was not asked to enter pleas during the hearing at Chelmsford Magistrates Court and spoke only to give his name, age, address and to state his nationality as British.
Ten teenagers, including two 15-year-old boys, were among the bodies of 39 Vietnamese nationals who were discovered in the trailer.
Emergency services were called to an industrial estate in Grays, Essex shortly after the lorry arrived on a ferry from Zeebrugge in Belgium.
Many of the victims were from a poor region in central Vietnam, where the main source of income is from fishing, farming or factory work.
Many families took on thousands of dollars of debt to send their children to Britain, in the hope they would land good jobs and send money back to pay off the loans.
The incident has laid bare the dangers of illegal migration in Britain, where Vietnamese nationals have often found work in nail bars or illegal cannabis farms. AFP


If you use the program Octave https://octave.sourceforge.io/index.html , please have a look at script plot_csv


Preparation time
30 mins to 1 hour
Cooking time
10 to 30 mins
Serves
Serves 4
Preheat a barbecue until the coals are white hot. (Alternatively, cook in an oven preheated to 180C/350F/Gas 4.)
 Place a smaller piece of baking paper on top of the foil. Place a piece of monkfish onto the paper with a garlic clove, three slices of chilli, a sprig of lemon thyme, a quarter of the grated ginger, a piece of lemongrass, three tablespoons of coconut milk and a pinch of salt. Repeat this for each piece of fish.
Seal the parcels into a pasty-like shape, making sure the edges are sealed so that the juices can't escape during cooking. Place onto the barbecue (or in the oven) for 20 minutes.
Remove from the barbecue and leave to stand for five minutes. To serve, place each foil package onto a plate. Open up the foil and season with a squeeze of lime juice.


KIM’S CONVENIENCE, the funny, heartfelt story of the Kim family and their downtown convenience store, returns for a third season. Appa (PAUL SUN-HYUNG LEE) and Umma (JEAN YOON) try to be good parents and good partners whether spicing up their love life, navigating the unfamiliar landscape of couples therapy or discovering the pitfalls of shants (shorts + pants). Janet (ANDREA BANG) continues to launch her career as a photographer, while negotiating old flames and new roommates. And Jung (SIMU LIU) struggles to regain his job and his friendship with Shannon (NICOLE POWER) while awkwardly mending fences with his Appa.
Welcome back to season 3! Good things are worth waiting for! Like season 3 of Kim's Convenience, coming to CBC winter 2019. While we wait for season 3 to arrive, fans also received the wonderful news that Kim's Convenience has already been greenlit for season 4! So much to be excited for!
Congrats on Kim’s 12 Canadian Screen Award nominations Kim's Convenience's freshman year turned heads and made people take notice. Its second year dooubled down as the comedy series was nominatoed for 12 Canadian Screen Awards including Best Comedy Series, Best Lead Actor (Paul Sun-Hyung Lee), Best Lead Actress (Jean Yoon and Andrea Bang), and Best Supporting/Guest Star (Andrew Phung). Paul Sun-Hyung Lee took home the gold and gave a moving acceptance speech that brough the crowd to its feet. Will we see a repeat win for the Kim patriarch?
Check out the full list of nominees here!DANI SAAD JANUARY 7, 2019 : The cast of Canada’s most beloved sitcom talks season 3, global fandom, and the humbling journey behind the success.
READ MORE . . .MR. KIM (“APPA”)[ PAUL SUN-HYUNG LEE ]
MRS. KIM (“UMMA”) [ JEAN YOON ]
JUNG [ SIMU LIU ]
JANET [ ANDREA BANG ]
KIMCHEE [ ANDREW PHUNG ]
SHANNON [ NICOLE POWER ]


Current version: 1.1
DOWNLOAD JAVAGALICIAN (from github.com)
You can also browse the Source Repository here.


Atlanta:
You must check out the Weathermaster device in the north wing.
The password is
"ATL"
.
If any project is activated, please put a stop to it at once!
"How do I know if a project is activated?"
"What are the Weathermaster's defenses?"


--- short: t-filehasher type: transformer color: indigo title: File hasher description: Computes SHA-1 hash of the input files ---
Transformer, which computes SHA-1 hash for each input file. The hash can be verified e.g. by the online calculator.
The {{page.title}} component takes input files and for each one produces an SHA-1 hash.
Below you can see sample output for this component.
{% highlight turtle %} @prefix xsd:


title order
product
price
image
matza square
100
oval egg
1
passover hagada
20
name:
phone:
product:
matza square
oval egg
passover hagada
order
back


Current Weather in a City
{% for name in data %}
{{ name }}
{% endfor %}
Go
Search Weather by Area
Min Longitude:
Max Longitude:
Min Latitude:
Max Latitude:
Zoom Value:
See The List


PhysX Static Actor Component
The PhysX static actor component is used to represent static collision geomtry. Most geometry in a scene should be static, meaning that it never moves, rotates, scales or is animated in any way. Static geometry is generally faster to process, and in the case of physics simulations, only static actors may use concave collision geometry.
All PhysX shapes that can be found in the hierarchy below the static actor are combined to form the compound shape of the actor. However, if any other actor (static or dynamic) is part of the hierarchy below the static actor, the shapes below that object are ignored for this actor. Additionally, if the static actor itself references a collision mesh, it will also become part of the actor compound shape. Only static actors are able to reference concave triangle collision meshes.
If you need your geometry to be able to move, use a dynamic actor instead.
Component Properties
CollisionMesh
: An optional convex or concave collision mesh representing the static actor geometry. This will be combined with all shapes found in the hierarchy below the owner object.CollisionLayer
: The collision layer defines which objects will collide with this actor.IncludeInNavmesh
: If set, this object will be considered an obstacle for AI and navmeshes are generated around it.PullSurfacesFromGraphicsMesh
: If this is enabled, at startup the actor will check whether there is a graphics mesh component attached to the same owner, which has the same amount of materials, as the collision mesh. If so, it will query those materials for their surfaces and use them to override the surfaces that are stored in the collision mesh. This can be very convenient, especially for complex meshes, because you only need to set up the materials for the graphics mesh, and don't need to mirror the same setup on the collision mesh. Also modifications to the graphics mesh (or its materials) will then apply to the collision mesh as well. Enabling this option forces the graphics mesh to be loaded at startup and therefore reduces potential for streaming data in the background.


{% load static %}
I enjoy building everything from small business sites and landing pages to portfolio themes and rich interactive web apps. I love creating visually stunning and responsive websites. I always try to combine aesthetic with functional aspects, looking for the right balance to communicate without annoying.
Programming is a true passion of mine and that passion continually grows with every meaningful tech-related conversation I have, with every moment of clarity as I finally figure out a nagging issue on a project, and with every new concept, language, or framework I delve into.
I enjoy the collaborative nature of working on a team building a product. The feedback, discussion, and review in this environment brings out the best in each individual member, and is a crucial component in my own personal development. I'm ready to jump onto a supportive team and begin contributing.
Click to view my resume.{{ project.description }}


|
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def | __init__ |
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def | chosen_task_name |
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def | set_chosen_task_name |
| |
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def | clear_chosen_task_name |
| |
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def | has_chosen_task_name |
| |
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def | MergeFrom |
| |
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def | Equals |
| |
|
def | IsInitialized |
| |
|
def | ByteSize |
| |
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def | ByteSizePartial |
| |
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def | Clear |
| |
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def | OutputUnchecked |
| |
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def | OutputPartial |
| |
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def | TryMerge |
| |
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def | __str__ |
| |
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| has_chosen_task_name_ |
| |
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| chosen_task_name_ |
| |
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|
int | has_chosen_task_name_ = 0 |
| |
|
string | chosen_task_name_ = "" |
| |
|
int | kchosen_task_name = 1 |
| |
The documentation for this class was generated from the following file:
- code/googleappengine-read-only/python/google/appengine/api/taskqueue/taskqueue_service_pb.py


Crystal Chung
Projects
Past Projects
Current Projects
CURRENT PROJECTS
There is no current projects.


{{#if selected.aggrievedExistingOrderJurisdiction.QLD}}
Visit the Queensland Courts website and use:
You do not have to complete this form.
Attach a copy of the existing protection order when you lodge this application.
{{else}}Visit the Queensland Courts website and use:
You do not have to complete this form.


Contact me at<EMAIL_ADDRESS>Git is a software for programmers that enable them (hopefully 'us' in the future) to store their code like checkpoints in a game. The system that git uses in order to do that is called 'Version Control'. Version control allows the programmer to store different versions of their files of code so that the programmer can choose what version he can use. Think of it as you are playing a Final Fantasy game wherein you go from chapter 1 to chapter 2 of the game, it will ask you to save your progress in save file slot 1. However, during the course of playing chapter 2, you want to change something you did in the beginning so you go back to the saved file, make changes in your game and then save it into save file slot 2 so that you can always go back to slot 1 incase you want to make further changes.
Now how does Git do this? Git makes a snapshot of your file whenever you choose to save ("commit" in coding terms) your work. Unlike normal Word documents wherein you can save two exact documents, Git will only save another file when it sees that there is something different or changes were made. Whenever you want to look at all the files that were saved for a certain program, Git has a log (you type: Git Log) and you will see all the files that were saved with each file containing an explanation of the changes that were made so that you can easily choose the version you want to edit.
Let's go back to the game Final Fantasy, whenever you save that particular chapter you are in, you only save it on your very own Playstation. However, with the most recent Playstation, the Playstation 4 allows you to upload your saved game to the Playstation network so that you can play your saved game in your friend's house without having to bring your own console. Github is the playstation network for Git. Because of Github, you can store all your files into the internet so that you can always edit them from another person's computer. Also, Github allows people to share their work with other people without affecting your own work. Your friend can edit the code you made and save it to his own Github account so that yours won't be overwritten. Most importantly, you will not have to worry about losing years of work when a thief runs away with your laptop (knock on wood).
There is Git and I hope you really Git it but in order to Git Git, you just have to Git. Git it?


WITNESS LIST Infrastructure Development and Security Committee March 24, 2003 -10:00A Evacuation Procedures ON: Nichols, John Capitol Fire Marshal (State Fire Marshal's Office), Austin, TX Registering, but not testifying: On: Davis, Tommy Director (Texas Deptartment of Public Safety), Austin, TX SB 410 FOR: Allen, Mike President, McAllen Economic Dev. Corp. (Texas Border Infrastructure Coalition), McAllen, TX Garza, Jorge Investment Banker (Salomon Smith Barney), Dallas, TX ON: Behrens, Michael Executive Director (Texas Department of Transportation), Austin, TX Buie, Jim Exectuive Director (Texas Bond Review Board), Austin, TX LeBas, James (Texas Comptroller's Office), Austin, TX Redwine, Augustin Research Analyst (Texas Comptroller's Office), Austin, TX Registering, but not testifying: For: Bennett, Robert L. (CTRMA), Austin, TX Igo, Shanna Director of Legistative Services (Texas Municipal League), Austin, TX Against: Olsen, Lawrence (Texas Good Roads Association), Austin, TX SB 1063 FOR: Findeisen, Les Director of Policy (Texas Motor Transportation Association), Austin, TX ON: Smith, Lawrence Director - Motor Carrier Division (Texas Department of Transportation), Austin, TX SB 1064 FOR: Findeisen, Les Director of Policy (Texas Motor Transportation Association), Austin, TX McCarty, James E. President (Merit Distribution Services), Temple, TX ON: Clanton, Coy Law Enforcement (Texas Department of Public Safety), Austin, TX SB 1082 ON: Behrens, Michael Executive Director (Texas Department of Transportation), Austin, TX Campbell, John Director, Right of Way Division (Texas Department of Transportation), Austin, TX Timmins, Holland Acting Executive Administrator (Texas Education Association), Austin, TX Registering, but not testifying: For: Allison, Jim General Counsel (County Judges & Commissioners Assn. of TX), Austin, TX Bennett, Robert L. (CTRMA), Austin, TX Cassidy, Brian Attorney (Central Texas Regional Mobility Authority), Austin, TX Hammond, Bill President (Texas Association of Business), Austin, TX Igo, Shanna Director of Legistative Services (Texas Municipal League), Austin, TX Olsen, Lawrence (Texas Good Roads Association), Austin, TX Weaver, Michael Transportation Consultant (Central Texas Regional Mobility Authority), Austin, TX Against: Gertenschlager, Merry Lynn Legislative Liaison (Texas Eagle Forum), Dallas, TX On: Tanner, Bo Deputy Commissioner (General Land Office), Austin, TX SB 1083 FOR: Allen, Mike President, McAllen Economic Dev. Corp. (Texas Border Infrastructure Coalition), McAllen, TX Cassidy, Brian Attorney (Central Texas Regional Mobility Authority), Austin, TX DeMontrond, George Automobile Dealer (Greater Houston Partnership), Houston, TX Franklin, Wendy Investment Banking (Goldman Sachs & Co.), New York, TX Garza, Jorge Investment Banker (Salomon Smith Barney), Dallas, TX Harris, Ron County Judge, Collin County (Dallas Regional Mobility Coalition/Collin County), Austin, TX Suhm, Vic Consultant (North Texas Commission), DFW Airport, TX Weaver, Michael Transportation Consultant (Central Texas Regional Mobility Authority), Austin, TX ON: Behrens, Michael Executive Director (Texas Department of Transportation), Austin, TX Buie, Jim Executive Director (Texas Bond Review Board), Austin, TX LeBas, James (Texas Comptroller's Office), Austin, TX Redwine, Augustin Research Analyst (Texas Comptroller's Office), Austin, TX Registering, but not testifying: For: Allison, Jim General Counsel (County Judges & Commissioners Assn. of TX), Austin, TX Bennett, Robert L. (CTRMA), Austin, TX Byron, Bruce Executive Director (Capital Area Transportation Coalition), Austin, TX Griebel, Tom Executive Director (San Antonio Mobility Coalition), San Antonio, TX Hammond, Bill President (Texas Association of Business), Austin, TX Igo, Shanna Director of Legistative Services (Texas Municipal League), Austin, TX Stagner, Steve Executive Director (Texas Concil of Engineering Companies), Austin, TX Sullivan, Ray Sullivan Public Affairs (HNTB), Austin, TX Tesch, Bob Chair (Central Texas Regional Mobility Authority), Cedar Park, TX Against: Olsen, Lawrence (Texas Good Roads Association), Austin, TX On: Anderson, David Lawyer (Texas Education Agency), Austin, TX SJR 21 FOR: Allen, Mike President, McAllen Economic Dev. Corp. (Texas Border Infrastructure Coalition), McAllen, TX Garza, Jorge Investment Banker (Salomon Smith Barney), Dallas, TX ON: Behrens, Michael Executive Director (Texas Department of Transportation), Austin, TX LeBas, James (Texas Comptroller's Office), Austin, TX Redwine, Augustin Research Analyst (Texas Comptroller's Office), Austin, TX Registering, but not testifying: For: Igo, Shanna Director of Legistative Services (Texas Municipal League), Austin, TX Against: Olsen, Lawrence (Texas Good Roads Association), Austin, TX SJR 43 ON: Behrens, Michael Executive Director (Texas Department of Transportation), Austin, TX Campbell, John Director, Right of Way Division (Texas Department of Transportation), Austin, TX Registering, but not testifying: For: Allison, Jim General Counsel (County Judges & Commissioners Assn. of TX), Austin, TX Hammond, Bill President (Texas Association of Business), Austin, TX Igo, Shanna Director of Legistative Services (Texas Municipal League), Austin, TX Olsen, Lawrence (Texas Good Roads Association), Austin, TX SJR 44 FOR: Allen, Mike President, McAllen Economic Dev. Corp. (Texas Border Infrastructure Coalition), McAllen, TX Garza, Jorge Investment Banker (Salomon Smith Barney), Dallas, TX Harris, Ron County Judge, Collin County (Dallas Regional Mobility Coalition/Collin County), Austin, TX ON: Behrens, Michael Executive Director (Texas Department of Transportation), Austin, TX LeBas, James (Texas Comptroller's Office), Austin, TX Redwine, Augustin Research Analyst (Texas Comptroller's Office), Austin, TX Registering, but not testifying: For: Allison, Jim General Counsel (County Judges & Commissioners Assn. of TX County Judges & Commissioners Assn. of TX), Austin, TX Byron, Bruce Executive Director (Capital Area Transportation Coalition), Austin, TX Griebel, Tom Executive Director (San Antonio Mobility Coalition), San Antonio, TX Hammond, Bill President (Texas Association of Business), Austin, TX Igo, Shanna Director of Legistative Services (Texas Municipal League), Austin, TX Stagner, Steve Executive Director (Texas Concil of Engineering Companies), Austin, TX Suhm, Vic Consultant (North Texas Commission), Dallas, TX Sullivan, Ray Sullivan Public Affairs (HNTB), Austin, TX Against: Olsen, Lawrence (Texas Good Roads Association), Austin, TX On: Anderson, David Lawyer (Texas Education Agency), Austin, TX


Vihaan is an annual event organized by IEEE DTU Women in Engineering (WIE) Affinity Group, a university wide professional organization dedicated to encourage women to take up and continue their careers in STEM Fields.
IEEE WIE believes in encouraging talent that is not bounded by gender inequalities and with Vihaan, IEEE DTU aims at carrying this thought forward. The event is a 24 hour Hackathon which provides a platform to budding programmers to come up with a solution to an existing problem using technology. Students can participate in a team size of upto 4 members with at least 1 female participant in the team.
Cash Prize worth INR 40,000 for grabs.
Pro products and Smart Devices worth 20 Lakh+ winners.
Overall winners to be given limited period Incubation by our VC partner. Top 3-5 ideas will be evaluated for incubation support.
Swag ( Goodies and Product credits) worth 1 CRORE+ our 25+ partners for all the shortlisted onsite participants.
Exclusive Vihaan T-shirts, stickers and other goodies for all shortlisted onsite participants.
Vihaan is a venture of IEEE WIE DTU, with an objective of motivating girls to take up STEM Fields. This year, Vihaan is a 24 hour hackathon.
Last week of October. The dates will be announced soon.
Delhi Technological University.
University students who are passionate about programming
A maximum of 4 members can form the team, with at least one female member.
No. A team must have 1 female participant.
None. Just the will to build a hack and make life a tad bit easier!
The software can be a mobile or a web application! However, you may need to incorporate a sponsor's API or platform. This would be made clear in the event briefing and updates would be released on the website as well.
Participants will be shortlisted on the basis of their resumé and github handles.
You can find them here
Yes. And redbulls too!
Yes.
College ID, Confirmation mails and laptops!
Yeah, Checkout HackSociety and avail accommodations with 50% OFF!


OKR (Objectives and Key Results) is a goal system used by Google and others. It is a simple tool to create alignment and engagement around measurable goals.
Objectives are memorable qualitative descriptions of what you want to achieve. Objectives should be short, inspirational and engaging. An Objective should motivate and challenge the team.
Key Results are a set of metrics that measure your progress towards the Objective. For each Objective, you should have a set of 2 to 5 Key Results. More than that and no one will remember them.
Each Objective has a number of Wins set. It's there so you can know if you did not reach, achieved or surpassed the Objective.
Every Objective's Key Result will help you achieve your objective.
Each time you complete a Key Result, the Objective's Win Counter will increase.
You can have different Win Ratios for every Key Result, even negative ones.
Wins Ratio is going to multiply the completion of the Key Result by a number, so that you can have Key Results that count twice, ten times (or as many times as you want) more than the others.
You can set objectives for each quarter or Semester. The year will be set automatically.
This is a demo app, you can enter and create, view or edit semesters for the current year, just typing in "guest" as a password.
It's made as simple as possible, hope you enjoy it.


About how many years of experience do you have programming computers in any programming language?
(If more than 5, answer 5)
About how many years of experience do you have programming in the Java programming language?
(If more than 5, answer 5)
Would you describe your own experience with the Java programming language to be at a beginner, intermediate, or advanced level?
On a scale of 1 to 4, indicate how much do you agree with the following statement: When I must read code, I prefer to read code which adheres to a consistent style.
Strongly Disagree Strongly AgreeOn a scale of 1 to 4, indicate how much you agree with the following statement: It does not matter to me whether code I read is well-formatted or rather disorganized; I can still read it anyway.
Strongly Disagree Strongly Agree


A second chance to live again
Improve yourself, Overcome the obstacles.
Power of the gods, at the reach of our hands


Programmed using the jaws library
Music by DeceasedSuperiorTechnician / CC BY 3.0
Return to Games@The-Study


KVO
The Foundation team at Apple has made great strides to become more closuresque, and Swift 4 has truly proved that with KVO updates.
The API is almost perfect so there isn’t too much to add. There is only one convenience method to improve some of the boiler plate code for a typical use case.
The existing API requires you to save the observer
and store it for the duration of the observation.
Not bad, but with a little polish we can set and
forget. Although it looks like more effort to
provide a conditional remove handler, with the
helper var selfDeinits
on every NSObject,
we don’t have to hold onto distracting observer
variables in our view controllers.
In this example we’ll observe the text
property of a UITextField.
let textField = UITextField()
class MyClass: NSObject {
override init() { super.init()
textField.observe(\.text, until: selfDeinits) { obj,change in
print("Observed the change to \"\(obj.text!)\"")
}
}
}
var myObject: MyClass? = MyClass()
textField.text = "🐒" // this will be observed
myObject = nil
textField.text = "This will NOT be observed"


stimulus-bootstrap
alert
Holy guacamole!
You should check in on some of those fields below.
×
button
Toggle state
Click me
Checkbox and radio buttons
Active
Radio
Radio


The Worker – the muscle of HpBandster¶
-
class
hpbandster.core.worker.
Worker
(run_id, nameserver=None, nameserver_port=None, logger=None, host=None, id=None, timeout=None)[source]¶ The worker is responsible for evaluating a single configuration on a single budget at a time. Communication to the individual workers goes via the nameserver, management of the worker-pool and job scheduling is done by the Dispatcher and jobs are determined by the Master. In distributed systems, each cluster-node runs a Worker-instance. To implement your own worker, overwrite the __init__- and the compute-method. The first allows to perform inital computations, e.g. loading the dataset, when the worker is started, while the latter is repeatedly called during the optimization and evaluates a given configuration yielding the associated loss.
Parameters: - run_id (anything with a __str__ method) – unique id to identify individual HpBandSter run
- nameserver (str) – hostname or IP of the nameserver
- nameserver_port (int) – port of the nameserver
- logger (logging.logger instance) – logger used for debugging output
- host (str) – hostname for this worker process
- id (anything with a __str__method) – if multiple workers are started in the same process, you MUST provide a unique id for each one of them using the id argument.
- timeout (int or float) – specifies the timeout a worker will wait for a new after finishing a computation before shutting down. Towards the end of a long run with multiple workers, this helps to shutdown idling workers. We recommend a timeout that is roughly half the time it would take for the second largest budget to finish. The default (None) means that the worker will wait indefinitely and never shutdown on its own.
-
compute
(config_id, config, budget, working_directory)[source]¶ The function you have to overload implementing your computation.
Parameters: - config_id (tuple) – a triplet of ints that uniquely identifies a configuration. the convention is id = (iteration, budget index, running index) with the following meaning: - iteration: the iteration of the optimization algorithms. E.g, for Hyperband that is one round of Successive Halving - budget index: the budget (of the current iteration) for which this configuration was sampled by the optimizer. This is only nonzero if the majority of the runs fail and Hyperband resamples to fill empty slots, or you use a more ‘advanced’ optimizer. - running index: this is simply an int >= 0 that sort the configs into the order they where sampled, i.e. (x,x,0) was sampled before (x,x,1).
- config (dict) – the actual configuration to be evaluated.
- budget (float) – the budget for the evaluation
- working_directory (str) – a name of a directory that is unique to this configuration. Use this to store intermediate results on lower budgets that can be reused later for a larger budget (for iterative algorithms, for example).
Returns: - needs to return a dictionary with two mandatory entries:
- ’loss’: a numerical value that is MINIMIZED
- ’info’: This can be pretty much any build in python type, e.g. a dict with lists as value. Due to Pyro4 handling the remote function calls, 3rd party types like numpy arrays are not supported!
Return type: dict
-
load_nameserver_credentials
(working_directory, num_tries=60, interval=1)[source]¶ loads the nameserver credentials in cases where master and workers share a filesystem
Parameters: - working_directory (str) – the working directory for the HPB run (see master)
- num_tries (int) – number of attempts to find the file (default 60)
- interval (float) – waiting period between the attempts
-
run
(background=False)[source]¶ Method to start the worker.
Parameters: background (bool) – If set to False (Default). the worker is executed in the current thread. If True, a new daemon thread is created that runs the worker. This is useful in a single worker scenario/when the compute function only simulates work.


Project Title is required.
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*Please note that: Your projects will be only visible to you untill approved and you will be notified.


Created by TJ Monserrat
A course on introducing human-computer interaction methodologies and design thinking.
Apply the principles of design thinking in solving human problems
Explain what Human-Computer Interaction is and how it impacts the world.
Be able to create a working prototype as a solution to a given problem.
January 29 - Meetup
February 5 - Session 1 - Crash Course on Design Thinking Session 1
February 12 - Session 2 - Crash Course on Design Thinking Session 2
February 19 - Session 3 - Project 1 - Interview, Storyboard & Persona creation, and Brainstorm
February 26 - Session 4 - Project 1 - Brainstorm, Dirty Prototype and Test
March 4 - Session 5 - Project 1 - Create Working Prototype and Test
March 11 - Session 6 - Project 1 - Create Working Video prototype and Test
March 18 - No Classes. (Startup Weekend)
March 25 - No Classes. (Holy Week)
April 1 - Session 7 - Project 2 - Submission of Video 1 & Interview, Storyboard & Persona creation, and Brainstorm
April 8 - Session 8 - Project 2 - Brainstorm, Dirty Prototype and Test
April 15 - Session 9 - Project 2 - Create Working Prototype and Test
April 22 - Session 10 - Project 2 - Create Working Video prototype and Test
April 29 - Session 11 - Project 2 - Submission of Video 2 and Recap - Last day of classes for CMSC 191
May 6 - No Meetup (Possible trip)
May 13 - No Meetup (Possible trip)
May 20 - No Classes. (Maybe pizza?)
For each project, you'll have 10 exercises


Resudrop company instance manager
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Capuchin Day Centre,
29 Bow Street, Dublin 7.
Registered Charity: CHY376.
Donate Online:
Capuchin Day Centre
Account No. 82128752
Bank of Ireland, Smithfield, Dublin 7.
Sort Code : 90-00-92
IBAN: IE12 BOFI 9000 9282 1287 52
BIC Code: BOFIIE2D
Donate by phone:
For Credit Card or Laser Card
donations please telephone
Bro. Kevin or Theresa at 01234 567 890
Capuchin Day Centre,
29, Bow Street, Dublin 7.


%# = Required methods juli(1) template must have following methods: title:: title string prototype:: prototype url javascript:: javascript url stylesheet:: stylesheet url body:: generate html = Optional methods Following helper methods are optional: contents:: draw contents of page %>


Cornell pays visit to Bryant
by EndPlaySMITHFIELD, R.I. - Cornell (1-0) vs. Bryant (0-2)
Chace Athletic Center, Smithfield, Rhode Island; Sunday, 1 p.m. EST
BOTTOM LINE: Bryant squares off against Cornell in an early season matchup.
STEPPING UP: .ACCURATE ADAM: Adam Grant has connected on 36.4 percent of the 22 3-pointers he's attempted. He's also converted 88.9 percent of his foul shots this season.
DID YOU KNOW: Cornell went 6-9 against non-conference programs last season. In those 15 games, the Big Red gave up 74.6 points per game while scoring 69.4 per matchup. Bryant went 3-8 in non-conference play, averaging 67.7 points and allowing 81.5 per game in the process.
___
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
___
This was generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com