| Package | Description |
|---|---|
| org.joda.money | |
| org.joda.money.format |
| Modifier and Type | Method and Description |
|---|---|
Money |
Money.abs()
Returns a copy of this monetary value with a positive amount.
|
static Money |
MoneyUtils.add(Money money1,
Money money2)
Adds two
Money objects, handling null. |
Money |
Money.convertedTo(CurrencyUnit currency,
BigDecimal conversionMultipler,
RoundingMode roundingMode)
Returns a copy of this monetary value converted into another currency
using the specified conversion rate, with a rounding mode used to adjust
the decimal places in the result.
|
Money |
Money.dividedBy(BigDecimal valueToDivideBy,
RoundingMode roundingMode)
Returns a copy of this monetary value divided by the specified value.
|
Money |
Money.dividedBy(double valueToDivideBy,
RoundingMode roundingMode)
Returns a copy of this monetary value divided by the specified value.
|
Money |
Money.dividedBy(long valueToDivideBy,
RoundingMode roundingMode)
Returns a copy of this monetary value divided by the specified value.
|
static Money |
MoneyUtils.max(Money money1,
Money money2)
Finds the maximum
Money value, handing null. |
static Money |
MoneyUtils.min(Money money1,
Money money2)
Finds the minimum
Money value, handing null. |
Money |
Money.minus(BigDecimal amountToSubtract)
Returns a copy of this monetary value with the amount subtracted.
|
Money |
Money.minus(BigDecimal amountToSubtract,
RoundingMode roundingMode)
Returns a copy of this monetary value with the amount subtracted.
|
Money |
Money.minus(double amountToSubtract)
Returns a copy of this monetary value with the amount subtracted.
|
Money |
Money.minus(double amountToSubtract,
RoundingMode roundingMode)
Returns a copy of this monetary value with the amount subtracted.
|
Money |
Money.minus(Iterable<Money> moniesToSubtract)
Returns a copy of this monetary value with a collection of monetary amounts subtracted.
|
Money |
Money.minus(Money moneyToSubtract)
Returns a copy of this monetary value with the amount subtracted.
|
Money |
Money.minusMajor(long amountToSubtract)
Returns a copy of this monetary value with the amount in major units subtracted.
|
Money |
Money.minusMinor(long amountToSubtract)
Returns a copy of this monetary value with the amount in minor units subtracted.
|
Money |
Money.multipliedBy(BigDecimal valueToMultiplyBy,
RoundingMode roundingMode)
Returns a copy of this monetary value multiplied by the specified value.
|
Money |
Money.multipliedBy(double valueToMultiplyBy,
RoundingMode roundingMode)
Returns a copy of this monetary value multiplied by the specified value.
|
Money |
Money.multipliedBy(long valueToMultiplyBy)
Returns a copy of this monetary value multiplied by the specified value.
|
Money |
Money.negated()
Returns a copy of this monetary value with the amount negated.
|
static Money |
Money.nonNull(Money money,
CurrencyUnit currency)
Ensures that a
Money is not null . |
static Money |
Money.of(BigMoneyProvider moneyProvider)
Obtains an instance of
Money from a provider. |
static Money |
Money.of(BigMoneyProvider moneyProvider,
RoundingMode roundingMode)
Obtains an instance of
Money from a provider, rounding as necessary. |
static Money |
Money.of(CurrencyUnit currency,
BigDecimal amount)
Obtains an instance of
Money from a BigDecimal . |
static Money |
Money.of(CurrencyUnit currency,
BigDecimal amount,
RoundingMode roundingMode)
Obtains an instance of
Money from a BigDecimal , rounding as necessary. |
static Money |
Money.of(CurrencyUnit currency,
double amount)
Obtains an instance of
Money from a double using a
well-defined conversion. |
static Money |
Money.of(CurrencyUnit currency,
double amount,
RoundingMode roundingMode)
Obtains an instance of
Money from a double using a
well-defined conversion, rounding as necessary. |
static Money |
Money.ofMajor(CurrencyUnit currency,
long amountMajor)
Obtains an instance of
Money from an amount in major units. |
static Money |
Money.ofMinor(CurrencyUnit currency,
long amountMinor)
Obtains an instance of
Money from an amount in minor units. |
static Money |
Money.parse(String moneyStr)
Parses an instance of
Money from a string. |
Money |
Money.plus(BigDecimal amountToAdd)
Returns a copy of this monetary value with the amount added.
|
Money |
Money.plus(BigDecimal amountToAdd,
RoundingMode roundingMode)
Returns a copy of this monetary value with the amount added.
|
Money |
Money.plus(double amountToAdd)
Returns a copy of this monetary value with the amount added.
|
Money |
Money.plus(double amountToAdd,
RoundingMode roundingMode)
Returns a copy of this monetary value with the amount added.
|
Money |
Money.plus(Iterable<Money> moniesToAdd)
Returns a copy of this monetary value with a collection of monetary amounts added.
|
Money |
Money.plus(Money moneyToAdd)
Returns a copy of this monetary value with the amount added.
|
Money |
Money.plusMajor(long amountToAdd)
Returns a copy of this monetary value with the amount in major units added.
|
Money |
Money.plusMinor(long amountToAdd)
Returns a copy of this monetary value with the amount in minor units added.
|
Money |
Money.rounded(int scale,
RoundingMode roundingMode)
Returns a copy of this monetary value rounded to the specified scale without
changing the current scale.
|
static Money |
MoneyUtils.subtract(Money money1,
Money money2)
Subtracts the second
Money from the first, handling null. |
Money |
BigMoney.toMoney()
Converts this money to an instance of
Money without rounding. |
Money |
BigMoney.toMoney(RoundingMode roundingMode)
Converts this money to an instance of
Money . |
static Money |
Money.total(CurrencyUnit currency,
Iterable<Money> monies)
Obtains an instance of
Money as the total value of
a possibly empty collection. |
static Money |
Money.total(CurrencyUnit currency,
Money... monies)
Obtains an instance of
Money as the total value of
a possibly empty array. |
static Money |
Money.total(Iterable<Money> monies)
Obtains an instance of
Money as the total value of a collection. |
static Money |
Money.total(Money... monies)
Obtains an instance of
Money as the total value of an array. |
Money |
Money.withAmount(BigDecimal amount)
Returns a copy of this monetary value with the specified amount.
|
Money |
Money.withAmount(BigDecimal amount,
RoundingMode roundingMode)
Returns a copy of this monetary value with the specified amount.
|
Money |
Money.withAmount(double amount)
Returns a copy of this monetary value with the specified amount using a well-defined
conversion from a
double . |
Money |
Money.withAmount(double amount,
RoundingMode roundingMode)
Returns a copy of this monetary value with the specified amount using a well-defined
conversion from a
double . |
Money |
Money.withCurrencyUnit(CurrencyUnit currency)
Returns a copy of this monetary value with the specified currency.
|
Money |
Money.withCurrencyUnit(CurrencyUnit currency,
RoundingMode roundingMode)
Returns a copy of this monetary value with the specified currency.
|
static Money |
Money.zero(CurrencyUnit currency)
Obtains an instance of
Money representing zero. |
| Modifier and Type | Method and Description |
|---|---|
static Money |
MoneyUtils.add(Money money1,
Money money2)
Adds two
Money objects, handling null. |
static Money |
MoneyUtils.max(Money money1,
Money money2)
Finds the maximum
Money value, handing null. |
static Money |
MoneyUtils.min(Money money1,
Money money2)
Finds the minimum
Money value, handing null. |
Money |
Money.minus(Money moneyToSubtract)
Returns a copy of this monetary value with the amount subtracted.
|
static Money |
Money.nonNull(Money money,
CurrencyUnit currency)
Ensures that a
Money is not null . |
Money |
Money.plus(Money moneyToAdd)
Returns a copy of this monetary value with the amount added.
|
static Money |
MoneyUtils.subtract(Money money1,
Money money2)
Subtracts the second
Money from the first, handling null. |
static Money |
Money.total(CurrencyUnit currency,
Money... monies)
Obtains an instance of
Money as the total value of
a possibly empty array. |
static Money |
Money.total(Money... monies)
Obtains an instance of
Money as the total value of an array. |
| Modifier and Type | Method and Description |
|---|---|
Money |
Money.minus(Iterable<Money> moniesToSubtract)
Returns a copy of this monetary value with a collection of monetary amounts subtracted.
|
Money |
Money.plus(Iterable<Money> moniesToAdd)
Returns a copy of this monetary value with a collection of monetary amounts added.
|
static Money |
Money.total(CurrencyUnit currency,
Iterable<Money> monies)
Obtains an instance of
Money as the total value of
a possibly empty collection. |
static Money |
Money.total(Iterable<Money> monies)
Obtains an instance of
Money as the total value of a collection. |
| Modifier and Type | Method and Description |
|---|---|
Money |
MoneyFormatter.parseMoney(CharSequence text)
Fully parses the text into a
Money requiring that the parsed
amount has the correct number of decimal places. |
Copyright © 2009–2016 Joda.org. All rights reserved.


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|
SuperLU
5.3.0
|
Utility header file. More...
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <assert.h>
#include "superlu_enum_consts.h"
Go to the source code of this file.
Data Structures | |
| struct | superlu_options_t |
| struct | e_node |
| Headers for 4 types of dynamatically managed memory. More... | |
| struct | LU_stack_t |
| struct | SuperLUStat_t |
| struct | mem_usage_t |
| struct | GlobalLU_t |
Macros | |
| #define | SUPERLU_MAJOR_VERSION 5 |
| #define | SUPERLU_MINOR_VERSION 3 |
| #define | SUPERLU_PATCH_VERSION 0 |
| #define | FIRSTCOL_OF_SNODE(i) (xsup[i]) |
| #define | NO_MARKER 3 |
| #define | NUM_TEMPV(m, w, t, b) ( SUPERLU_MAX(m, (t + b)*w) ) |
| #define | USER_ABORT(msg) superlu_abort_and_exit(msg) |
| #define | ABORT(err_msg) |
| #define | USER_MALLOC(size) superlu_malloc(size) |
| #define | SUPERLU_MALLOC(size) USER_MALLOC(size) |
| #define | USER_FREE(addr) superlu_free(addr) |
| #define | SUPERLU_FREE(addr) USER_FREE(addr) |
| #define | CHECK_MALLOC(where) |
| #define | SUPERLU_MAX(x, y) ( (x) > (y) ? (x) : (y) ) |
| #define | SUPERLU_MIN(x, y) ( (x) < (y) ? (x) : (y) ) |
| #define | L_SUB_START(col) ( Lstore->rowind_colptr[col] ) |
| #define | L_SUB(ptr) ( Lstore->rowind[ptr] ) |
| #define | L_NZ_START(col) ( Lstore->nzval_colptr[col] ) |
| #define | L_FST_SUPC(superno) ( Lstore->sup_to_col[superno] ) |
| #define | U_NZ_START(col) ( Ustore->colptr[col] ) |
| #define | U_SUB(ptr) ( Ustore->rowind[ptr] ) |
| #define | EMPTY (-1) |
| #define | FALSE 0 |
| #define | TRUE 1 |
| #define | NO_MEMTYPE |
| #define | GluIntArray(n) (5 * (n) + 5) |
| #define | NODROP ( 0x0000 ) |
| #define | DROP_BASIC ( 0x0001 ) /* ILU(tau) */ |
| #define | DROP_PROWS ( 0x0002 ) /* ILUTP: keep p maximum rows */ |
| #define | DROP_COLUMN |
| #define | DROP_AREA |
| #define | DROP_SECONDARY ( 0x000E ) /* PROWS | COLUMN | AREA */ |
| #define | DROP_DYNAMIC ( 0x0010 ) /* adaptive tau */ |
| #define | DROP_INTERP ( 0x0100 ) /* use interpolation */ |
| #define | MILU_ALPHA (1.0e-2) /* multiple of drop_sum to be added to diagonal */ |
Typedefs | |
| typedef float | flops_t |
| typedef unsigned char | Logical |
| typedef struct e_node | ExpHeader |
| Headers for 4 types of dynamatically managed memory. More... | |
Functions | |
| int | input_error (char *, int *) |
| void | Destroy_SuperMatrix_Store (SuperMatrix *) |
| Deallocate the structure pointing to the actual storage of the matrix. More... | |
| void | Destroy_CompCol_Matrix (SuperMatrix *) |
| void | Destroy_CompRow_Matrix (SuperMatrix *) |
| void | Destroy_SuperNode_Matrix (SuperMatrix *) |
| void | Destroy_CompCol_Permuted (SuperMatrix *) |
| A is of type Stype==NCP. More... | |
| void | Destroy_Dense_Matrix (SuperMatrix *) |
| A is of type Stype==DN. More... | |
| void | get_perm_c (int, SuperMatrix *, int *) |
| void | set_default_options (superlu_options_t *options) |
| Set the default values for the options argument. More... | |
| void | ilu_set_default_options (superlu_options_t *options) |
| Set the default values for the options argument for ILU. More... | |
| void | sp_preorder (superlu_options_t *, SuperMatrix *, int *, int *, SuperMatrix *) |
| void | superlu_abort_and_exit (char *) |
| Global statistics variale. More... | |
| void * | superlu_malloc (size_t) |
| int * | intMalloc (int) |
| int * | intCalloc (int) |
| void | superlu_free (void *) |
| void | SetIWork (int, int, int, int *, int **, int **, int **, int **, int **, int **, int **) |
| Set up pointers for integer working arrays. More... | |
| int | sp_coletree (int *, int *, int *, int, int, int *) |
| void | relax_snode (const int, int *, const int, int *, int *) |
| void | heap_relax_snode (const int, int *, const int, int *, int *) |
| int | mark_relax (int, int *, int *, int *, int *, int *, int *) |
| void | ilu_relax_snode (const int, int *, const int, int *, int *, int *) |
| void | ilu_heap_relax_snode (const int, int *, const int, int *, int *, int *) |
| void | resetrep_col (const int, const int *, int *) |
| Reset repfnz[] for the current column. More... | |
| int | spcoletree (int *, int *, int *, int, int, int *) |
| int * | TreePostorder (int, int *) |
| double | SuperLU_timer_ () |
| Timer function. More... | |
| int | sp_ienv (int) |
| int | xerbla_ (char *, int *) |
| void | ifill (int *, int, int) |
| Fills an integer array with a given value. More... | |
| void | snode_profile (int, int *) |
| void | super_stats (int, int *) |
| void | check_repfnz (int, int, int, int *) |
| Check whether repfnz[] == EMPTY after reset. More... | |
| void | PrintSumm (char *, int, int, int) |
| Print a summary of the testing results. More... | |
| void | StatInit (SuperLUStat_t *) |
| void | StatPrint (SuperLUStat_t *) |
| void | StatFree (SuperLUStat_t *) |
| void | print_panel_seg (int, int, int, int, int *, int *) |
| Diagnostic print of segment info after panel_dfs(). More... | |
| int | print_int_vec (char *, int, int *) |
| int | slu_PrintInt10 (char *, int, int *) |
Copyright (c) 2003, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from U.S. Dept. of Energy)
All rights reserved.
The source code is distributed under BSD license, see the file License.txt at the top-level directory.
– SuperLU routine (version 4.1) – Univ. of California Berkeley, Xerox Palo Alto Research Center, and Lawrence Berkeley National Lab. November, 2010
| #define ABORT | ( | err_msg | ) |
| #define CHECK_MALLOC | ( | where | ) |
| #define DROP_AREA |
| #define DROP_BASIC ( 0x0001 ) /* ILU(tau) */ |
| #define DROP_COLUMN |
| #define DROP_DYNAMIC ( 0x0010 ) /* adaptive tau */ |
| #define DROP_INTERP ( 0x0100 ) /* use interpolation */ |
| #define DROP_PROWS ( 0x0002 ) /* ILUTP: keep p maximum rows */ |
| #define DROP_SECONDARY ( 0x000E ) /* PROWS | COLUMN | AREA */ |
| #define EMPTY (-1) |
| #define FALSE 0 |
| #define FIRSTCOL_OF_SNODE | ( | i | ) | (xsup[i]) |
| #define GluIntArray | ( | n | ) | (5 * (n) + 5) |
| #define L_FST_SUPC | ( | superno | ) | ( Lstore->sup_to_col[superno] ) |
| #define L_NZ_START | ( | col | ) | ( Lstore->nzval_colptr[col] ) |
| #define L_SUB | ( | ptr | ) | ( Lstore->rowind[ptr] ) |
| #define L_SUB_START | ( | col | ) | ( Lstore->rowind_colptr[col] ) |
| #define MILU_ALPHA (1.0e-2) /* multiple of drop_sum to be added to diagonal */ |
| #define NO_MARKER 3 |
| #define NO_MEMTYPE |
| #define NODROP ( 0x0000 ) |
| #define NUM_TEMPV | ( | m, | |
| w, | |||
| t, | |||
| b | |||
| ) | ( SUPERLU_MAX(m, (t + b)*w) ) |
| #define SUPERLU_FREE | ( | addr | ) | USER_FREE(addr) |
| #define SUPERLU_MAJOR_VERSION 5 |
| #define SUPERLU_MALLOC | ( | size | ) | USER_MALLOC(size) |
| #define SUPERLU_MAX | ( | x, | |
| y | |||
| ) | ( (x) > (y) ? (x) : (y) ) |
| #define SUPERLU_MIN | ( | x, | |
| y | |||
| ) | ( (x) < (y) ? (x) : (y) ) |
| #define SUPERLU_MINOR_VERSION 3 |
| #define SUPERLU_PATCH_VERSION 0 |
| #define TRUE 1 |
| #define U_NZ_START | ( | col | ) | ( Ustore->colptr[col] ) |
| #define U_SUB | ( | ptr | ) | ( Ustore->rowind[ptr] ) |
| #define USER_ABORT | ( | msg | ) | superlu_abort_and_exit(msg) |
| #define USER_FREE | ( | addr | ) | superlu_free(addr) |
| #define USER_MALLOC | ( | size | ) | superlu_malloc(size) |
| typedef float flops_t |
| typedef unsigned char Logical |
| void check_repfnz | ( | int | , |
| int | , | ||
| int | , | ||
| int * | |||
| ) |
| void Destroy_CompCol_Matrix | ( | SuperMatrix * | ) |
| void Destroy_CompCol_Permuted | ( | SuperMatrix * | ) |
| void Destroy_CompRow_Matrix | ( | SuperMatrix * | ) |
| void Destroy_Dense_Matrix | ( | SuperMatrix * | ) |
| void Destroy_SuperMatrix_Store | ( | SuperMatrix * | ) |
| void Destroy_SuperNode_Matrix | ( | SuperMatrix * | ) |
| void get_perm_c | ( | int | ispec, |
| SuperMatrix * | A, | ||
| int * | perm_c | ||
| ) |
Purpose =======
GET_PERM_C obtains a permutation matrix Pc, by applying the multiple minimum degree ordering code by Joseph Liu to matrix A'*A or A+A'. or using approximate minimum degree column ordering by Davis et. al. The LU factorization of A*Pc tends to have less fill than the LU factorization of A.
Arguments =========
ispec (input) int Specifies the type of column ordering to reduce fill: = 1: minimum degree on the structure of A^T * A = 2: minimum degree on the structure of A^T + A = 3: approximate minimum degree for unsymmetric matrices If ispec == 0, the natural ordering (i.e., Pc = I) is returned.
A (input) SuperMatrix* Matrix A in A*X=B, of dimension (A->nrow, A->ncol). The number of the linear equations is A->nrow. Currently, the type of A can be: Stype = NC; Dtype = _D; Mtype = GE. In the future, more general A can be handled.
perm_c (output) int* Column permutation vector of size A->ncol, which defines the permutation matrix Pc; perm_c[i] = j means column i of A is in position j in A*Pc.
| void heap_relax_snode | ( | const int | n, |
| int * | et, | ||
| const int | relax_columns, | ||
| int * | descendants, | ||
| int * | relax_end | ||
| ) |
Purpose ======= relax_snode() - Identify the initial relaxed supernodes, assuming that the matrix has been reordered according to the postorder of the etree.
| void ifill | ( | int * | , |
| int | , | ||
| int | |||
| ) |
| void ilu_heap_relax_snode | ( | const int | n, |
| int * | et, | ||
| const int | relax_columns, | ||
| int * | descendants, | ||
| int * | relax_end, | ||
| int * | relax_fsupc | ||
| ) |
Purpose ======= ilu_heap_relax_snode() - Identify the initial relaxed supernodes, assuming that the matrix has been reordered according to the postorder of the etree.
| void ilu_relax_snode | ( | const int | n, |
| int * | et, | ||
| const int | relax_columns, | ||
| int * | descendants, | ||
| int * | relax_end, | ||
| int * | relax_fsupc | ||
| ) |
Purpose ======= ilu_relax_snode() - Identify the initial relaxed supernodes, assuming that the matrix has been reordered according to the postorder of the etree.
| void ilu_set_default_options | ( | superlu_options_t * | options | ) |
| int input_error | ( | char * | srname, |
| int * | info | ||
| ) |
Purpose =======
INPUT_ERROR is called if an input parameter has an invalid value. A message is printed and execution stops.
Arguments =========
srname (input) character*6 The name of the routine which called INPUT_ERROR.
info (input) int The position of the invalid parameter in the parameter list of the calling routine.
| int* intCalloc | ( | int | ) |
| int* intMalloc | ( | int | ) |
| int mark_relax | ( | int | , |
| int * | , | ||
| int * | , | ||
| int * | , | ||
| int * | , | ||
| int * | , | ||
| int * | |||
| ) |
| int print_int_vec | ( | char * | , |
| int | , | ||
| int * | |||
| ) |
| void print_panel_seg | ( | int | , |
| int | , | ||
| int | , | ||
| int | , | ||
| int * | , | ||
| int * | |||
| ) |
| void PrintSumm | ( | char * | , |
| int | , | ||
| int | , | ||
| int | |||
| ) |
| void relax_snode | ( | const int | n, |
| int * | et, | ||
| const int | relax_columns, | ||
| int * | descendants, | ||
| int * | relax_end | ||
| ) |
Purpose ======= relax_snode() - Identify the initial relaxed supernodes, assuming that the matrix has been reordered according to the postorder of the etree.
| void resetrep_col | ( | const int | , |
| const int * | , | ||
| int * | |||
| ) |
| void set_default_options | ( | superlu_options_t * | options | ) |
| void SetIWork | ( | int | , |
| int | , | ||
| int | , | ||
| int * | , | ||
| int ** | , | ||
| int ** | , | ||
| int ** | , | ||
| int ** | , | ||
| int ** | , | ||
| int ** | , | ||
| int ** | |||
| ) |
| int slu_PrintInt10 | ( | char * | , |
| int | , | ||
| int * | |||
| ) |
| void snode_profile | ( | int | , |
| int * | |||
| ) |
| int sp_coletree | ( | int * | , |
| int * | , | ||
| int * | , | ||
| int | , | ||
| int | , | ||
| int * | |||
| ) |
| int sp_ienv | ( | int | ispec | ) |
Purpose =======
sp_ienv() is inquired to choose machine-dependent parameters for the local environment. See ISPEC for a description of the parameters.
This version provides a set of parameters which should give good, but not optimal, performance on many of the currently available computers. Users are encouraged to modify this subroutine to set the tuning parameters for their particular machine using the option and problem size information in the arguments.
Arguments =========
ISPEC (input) int Specifies the parameter to be returned as the value of SP_IENV. = 1: the panel size w; a panel consists of w consecutive columns of matrix A in the process of Gaussian elimination. The best value depends on machine's cache characters. = 2: the relaxation parameter relax; if the number of nodes (columns) in a subtree of the elimination tree is less than relax, this subtree is considered as one supernode, regardless of their row structures. = 3: the maximum size for a supernode in complete LU; = 4: the minimum row dimension for 2-D blocking to be used; = 5: the minimum column dimension for 2-D blocking to be used; = 6: the estimated fills factor for L and U, compared with A; = 7: the maximum size for a supernode in ILU.
(SP_IENV) (output) int >= 0: the value of the parameter specified by ISPEC < 0: if SP_IENV = -k, the k-th argument had an illegal value.
=====================================================================
| void sp_preorder | ( | superlu_options_t * | options, |
| SuperMatrix * | A, | ||
| int * | perm_c, | ||
| int * | etree, | ||
| SuperMatrix * | AC | ||
| ) |
Purpose =======
sp_preorder() permutes the columns of the original matrix. It performs the following steps:
1. Apply column permutation perm_c[] to A's column pointers to form AC;
2. If options->Fact = DOFACT, then (1) Compute column elimination tree etree[] of AC'AC; (2) Post order etree[] to get a postordered elimination tree etree[], and a postorder permutation post[]; (3) Apply post[] permutation to columns of AC; (4) Overwrite perm_c[] with the product perm_c * post.
Arguments =========
options (input) superlu_options_t* Specifies whether or not the elimination tree will be re-used. If options->Fact == DOFACT, this means first time factor A, etree is computed, postered, and output. Otherwise, re-factor A, etree is input, unchanged on exit.
A (input) SuperMatrix* Matrix A in A*X=B, of dimension (A->nrow, A->ncol). The number of the linear equations is A->nrow. Currently, the type of A can be: Stype = NC or SLU_NCP; Mtype = SLU_GE. In the future, more general A may be handled.
perm_c (input/output) int* Column permutation vector of size A->ncol, which defines the permutation matrix Pc; perm_c[i] = j means column i of A is in position j in A*Pc. If options->Fact == DOFACT, perm_c is both input and output. On output, it is changed according to a postorder of etree. Otherwise, perm_c is input.
etree (input/output) int* Elimination tree of Pc'*A'*A*Pc, dimension A->ncol. If options->Fact == DOFACT, etree is an output argument, otherwise it is an input argument. Note: etree is a vector of parent pointers for a forest whose vertices are the integers 0 to A->ncol-1; etree[root]==A->ncol.
AC (output) SuperMatrix* The resulting matrix after applied the column permutation perm_c[] to matrix A. The type of AC can be: Stype = SLU_NCP; Dtype = A->Dtype; Mtype = SLU_GE.
| int spcoletree | ( | int * | , |
| int * | , | ||
| int * | , | ||
| int | , | ||
| int | , | ||
| int * | |||
| ) |
| void StatFree | ( | SuperLUStat_t * | ) |
| void StatInit | ( | SuperLUStat_t * | ) |
| void StatPrint | ( | SuperLUStat_t * | ) |
| void super_stats | ( | int | , |
| int * | |||
| ) |
| void superlu_abort_and_exit | ( | char * | ) |
| void superlu_free | ( | void * | ) |
| void* superlu_malloc | ( | size_t | size | ) |
Precision-independent memory-related routines. (Shared by [sdcz]memory.c)
| double SuperLU_timer_ | ( | ) |
| int* TreePostorder | ( | int | , |
| int * | |||
| ) |
| int xerbla_ | ( | char * | , |
| int * | |||
| ) |


Author: Aravind Hebbali
License: MIT
In the long run, the goal of rfm is to develop tools for customer segmentation and lifetime value analysis. Included in version 0.0.1 are tools for RFM (recency, frequency and monetary) analysis.
RFM (recency, frequency, monetary) analysis is a behavior based technique used to segment customers by examining their transaction history such as
It is based on the marketing axiom that 80% of your business comes from 20% of your customers. RFM helps to identify customers who are more likely to respond to promotions by segmenting them into various categories.
To calculate the RFM score for each customer we need transaction data which should include the following:
Use rfm_table()
to generate the RFM score.
analysis_date <- lubridate::as_date('2006-12-31', tz = 'UTC')
rfm_result <- rfm_table(rfm_data, customer_id, order_date, revenue, analysis_date)
rfm_result
#> # A tibble: 995 x 9
#> customer_id date_most_recent recency_days transaction_count amount recency_score frequency_score monetary_score rfm_score
#> <chr> <date> <dbl> <dbl> <dbl> <int> <int> <int> <dbl>
#> 1 Abbey O'Reilly DVM 2006-06-09 205 6 472 3 4 3 343
#> 2 Add Senger 2006-08-13 140 3 340 4 1 2 412
#> 3 Aden Lesch Sr. 2006-06-20 194 4 405 3 2 3 323
#> 4 Admiral Senger 2006-08-21 132 5 448 4 3 3 433
#> 5 Agness O'Keefe 2006-10-02 90 9 843 5 5 5 555
#> 6 Aileen Barton 2006-10-08 84 9 763 5 5 5 555
#> 7 Ailene Hermann 2006-03-25 281 8 699 3 5 5 355
#> 8 Aiyanna Bruen PhD 2006-04-29 246 4 157 3 2 1 321
#> 9 Ala Schmidt DDS 2006-01-16 349 3 363 2 1 2 212
#> 10 Alannah Borer 2005-04-21 619 4 196 1 2 1 121
#> # ... with 985 more rows
The heat map shows the average monetary value for different categories of recency and frequency scores. Higher scores of frequency and recency are characterized by higher average monetary value as indicated by the darker areas in the heatmap.
Use rfm_bar_chart()
to generate the distribution of monetary scores for the different combinations of frequency and recency scores.
Use rfm_histograms()
to examine the relative distribution of
The best customers are those who:
Now let us examine the relationship between the above.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.


HTTP and HTTPS Protocols
Hypertext Transport Protocol (HTTP) is the protocol used to transfer data over the internet.
Hypertext Transport Protocol Secure (HTTPS) is the same as HTTP, but it uses a secure socket layer (SSL) for security.
Why do we use them?
HTTP is simple - messages can be read and understood by humans, making testing easier for developers, and reducing complexity for newcomers.
HTTP is extensible - HTTP headers make this protocol easy to extend and experiment with.
HTTP Request / Response communication between clients and servers is done by requests and responses:
- A client (a browser) sends an HTTP request to the web
- A web server receives the request
- The server runs an application to process the request
- The server returns an HTTP response (output) to the browser
- The client (the browser) receives the response
HTTP/HTTPS Example - GET
GET /home.html HTTP/1.1
Host: developer.mozilla.org
User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.9; rv:50.0) Gecko/20100101 Firefox/50.0
Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8
Accept-Language: en-US,en;q=0.5
Accept-Encoding: gzip, deflate, br
Referer: https://developer.mozilla.org/testpage.html
Connection: keep-alive
Upgrade-Insecure-Requests: 1
If-Modified-Since: Mon, 18 Jul 2016 02:36:04 GMT
If-None-Match: "c561c68d0ba92bbeb8b0fff2a9199f722e3a621a"
Cache-Control: max-age=0


colormode(mode, range=1.0)
Changes the way PlotDevice interprets color values. By default, fill() and stroke() expect values between 0.0 and 1.0 using the RGB color model. RGB
corresponds to Red/Green/Blue. Alternatively HSV
(Hue/Saturation/Brightness) or CMYK
(Cyan/Magenta/Yellow/Black) can be specified.
Regardless of the active colormode, PDFs and images are exported in the specified outputmode().
The optional range parameter specifies whether color values are defined between 0.0 and 1.0, or something else, 0 and 255 for example:
colormode(range=255)
the current color mode (RGB
, CMYK
or HSV
)
The mode used for interpreting color values is now set through the color() command. Color-related commands like fill(), stroke(), and background() can also take a mode as their first argument, specifying how the numerical args should be interpreted.
colormode(RGB) fill(0.25, 0.25, 0.25) rect(10, 10, 40, 40) colormode(HSV) fill(0, 0, 0.25) rect(60, 10, 40, 40)


Quizzes
A list of the quizzes available to play
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detekt report
Metrics
-
number of kt files: 31
-
number of packages: 4
-
number of classes: 30
-
number of functions: 74
-
number of properties: 92
Findings
complexity
TooManyFunctions
Too many functions inside a/an file/class/object/interface always indicate a violation of the single responsibility principle. Maybe the file/class/object/interface wants to manage too many things at once. Extract functionality which clearly belongs together.
-
/home/alexxxdev/Android/projects/fuel-comfy/api/src/main/kotlin/com/github/alexxxdev/fuelcomfy/SerializationAdapter.kt:7:1
Interface 'SerializationAdapter' with '16' functions detected. Defined threshold inside interfaces is set to '11'
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/KotlinSerializationAdapter.kt:9:1
Class 'KotlinSerializationAdapter' with '16' functions detected. Defined threshold inside classes is set to '11'
NestedBlockDepth
Excessive nesting leads to hidden complexity. Prefer extracting code to make it easier to understand.
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/builder/HeaderBuilder.kt:16:5
Function build is nested too deeply.
ComplexMethod
Prefer splitting up complex methods into smaller, easier to understand methods.
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/builder/FunSpecBodyBuilder.kt:69:5
The function buildReturn appears to be too complex.
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/builder/BodyBuilder.kt:20:5
The function build appears to be too complex.
formatting
MaximumLineLength
Reports lines with exceeded length
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/KotlinSerializationAdapter.kt:55:6
Exceeded max line length (140)
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/KotlinSerializationAdapter.kt:70:6
Exceeded max line length (140)
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/builder/FunSpecBodyBuilder.kt:113:41
Exceeded max line length (140)
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/builder/FunSpecBodyBuilder.kt:163:123
Exceeded max line length (140)
naming
FunctionParameterNaming
Function parameter names should follow the naming convention set in the projects configuration.
-
/home/alexxxdev/Android/projects/fuel-comfy/api/src/main/kotlin/com/github/alexxxdev/fuelcomfy/SerializationAdapter.kt:35:9
Function parameter names should match the pattern: [a-z][A-Za-z0-9]*
-
/home/alexxxdev/Android/projects/fuel-comfy/api/src/main/kotlin/com/github/alexxxdev/fuelcomfy/SerializationAdapter.kt:41:9
Function parameter names should match the pattern: [a-z][A-Za-z0-9]*
-
/home/alexxxdev/Android/projects/fuel-comfy/api/src/main/kotlin/com/github/alexxxdev/fuelcomfy/SerializationAdapter.kt:47:9
Function parameter names should match the pattern: [a-z][A-Za-z0-9]*
-
/home/alexxxdev/Android/projects/fuel-comfy/api/src/main/kotlin/com/github/alexxxdev/fuelcomfy/SerializationAdapter.kt:53:9
Function parameter names should match the pattern: [a-z][A-Za-z0-9]*
-
/home/alexxxdev/Android/projects/fuel-comfy/api/src/main/kotlin/com/github/alexxxdev/fuelcomfy/SerializationAdapter.kt:59:9
Function parameter names should match the pattern: [a-z][A-Za-z0-9]*
-
/home/alexxxdev/Android/projects/fuel-comfy/api/src/main/kotlin/com/github/alexxxdev/fuelcomfy/SerializationAdapter.kt:65:9
Function parameter names should match the pattern: [a-z][A-Za-z0-9]*
-
/home/alexxxdev/Android/projects/fuel-comfy/api/src/main/kotlin/com/github/alexxxdev/fuelcomfy/SerializationAdapter.kt:71:9
Function parameter names should match the pattern: [a-z][A-Za-z0-9]*
performance
SpreadOperator
Using a spread operator causes a full copy of the array to be created before calling a method has a very high performance penalty.
-
/home/alexxxdev/Android/projects/fuel-comfy/api/src/main/kotlin/com/github/alexxxdev/fuelcomfy/PoetExt.kt:11:62
Using a spread operator causes a full copy of the array to be created before calling a method has a very high performance penalty.
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/builder/FunSpecBuilder.kt:62:34
Using a spread operator causes a full copy of the array to be created before calling a method has a very high performance penalty.
style
MaxLineLength
Line detected that is longer than the defined maximum line length in the code style.
-
/home/alexxxdev/Android/projects/fuel-comfy/api/src/main/kotlin/com/github/alexxxdev/fuelcomfy/annotation/Param.kt:4:143
Line detected that is longer than the defined maximum line length in the code style.
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/KotlinSerializationAdapter.kt:57:5
Line detected that is longer than the defined maximum line length in the code style.
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/KotlinSerializationAdapter.kt:72:5
Line detected that is longer than the defined maximum line length in the code style.
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/builder/FunSpecBodyBuilder.kt:114:145
Line detected that is longer than the defined maximum line length in the code style.
-
/home/alexxxdev/Android/projects/fuel-comfy/processor/src/main/kotlin/com/github/alexxxdev/fuelcomfy/builder/FunSpecBodyBuilder.kt:164:151
Line detected that is longer than the defined maximum line length in the code style.


Select your size
Select Meats($1 Per Meat):
Select Veggies(.50 Per Veggie):
Select Crust Type:
Select Additinal Topping Finishes or Dipping Sauces:


17. Making Complex Decisions
Exercise 17.1 [mdp-model-exercise]
For the $4\times 3$ world shown in Figure sequential-decision-world-figure, calculate which squares can be reached from (1,1) by the action sequence $[{Up},{Up},{Right},{Right},{Right}]$ and with what probabilities. Explain how this computation is related to the prediction task (see Section general-filtering-section) for a hidden Markov model.
Exercise 17.2 [mdp-model-exercise]
For the $4\times 3$ world shown in Figure sequential-decision-world-figure, calculate which squares can be reached from (1,1) by the action sequence $[{Right},{Right},{Right},{Up},{Up}]$ and with what probabilities. Explain how this computation is related to the prediction task (see Section general-filtering-section) for a hidden Markov model.
Select a specific member of the set of policies that are optimal for $R(s)>0$ as shown in Figure sequential-decision-policies-figure(b), and calculate the fraction of time the agent spends in each state, in the limit, if the policy is executed forever. (Hint: Construct the state-to-state transition probability matrix corresponding to the policy and see Exercise markov-convergence-exercise.)
Exercise 17.4 [nonseparable-exercise]
Suppose that we define the utility of a state sequence to be the maximum reward obtained in any state in the sequence. Show that this utility function does not result in stationary preferences between state sequences. Is it still possible to define a utility function on states such that MEU decision making gives optimal behavior?
Can any finite search problem be translated exactly into a Markov decision problem such that an optimal solution of the latter is also an optimal solution of the former? If so, explain precisely how to translate the problem and how to translate the solution back; if not, explain precisely why not (i.e., give a counterexample).
Exercise 17.6 [reward-equivalence-exercise]
Sometimes MDPs are formulated with a reward function $R(s,a)$ that depends on the action taken or with a reward function $R(s,a,s’)$ that also depends on the outcome state.
-
Write the Bellman equations for these formulations.
-
Show how an MDP with reward function $R(s,a,s’)$ can be transformed into a different MDP with reward function $R(s,a)$, such that optimal policies in the new MDP correspond exactly to optimal policies in the original MDP.
-
Now do the same to convert MDPs with $R(s,a)$ into MDPs with $R(s)$.
Exercise 17.7 [threshold-cost-exercise]
For the environment shown in Figure sequential-decision-world-figure, find all the threshold values for $R(s)$ such that the optimal policy changes when the threshold is crossed. You will need a way to calculate the optimal policy and its value for fixed $R(s)$. (Hint: Prove that the value of any fixed policy varies linearly with $R(s)$.)
Exercise 17.8 [vi-contraction-exercise]
Equation (vi-contraction-equation) on page vi-contraction-equation states that the Bellman operator is a contraction.
-
Show that, for any functions $f$ and $g$,
-
Write out an expression for and then apply the result from (1) to complete the proof that the Bellman operator is a contraction.
This exercise considers two-player MDPs that correspond to zero-sum, turn-taking games like those in Chapter game-playing-chapter. Let the players be $A$ and $B$, and let $R(s)$ be the reward for player $A$ in state $s$. (The reward for $B$ is always equal and opposite.)
-
Let $U_A(s)$ be the utility of state $s$ when it is $A$’s turn to move in $s$, and let $U_B(s)$ be the utility of state $s$ when it is $B$’s turn to move in $s$. All rewards and utilities are calculated from $A$’s point of view (just as in a minimax game tree). Write down Bellman equations defining $U_A(s)$ and $U_B(s)$.
-
Explain how to do two-player value iteration with these equations, and define a suitable termination criterion.
-
Consider the game described in Figure line-game4-figure on page line-game4-figure. Draw the state space (rather than the game tree), showing the moves by $A$ as solid lines and moves by $B$ as dashed lines. Mark each state with $R(s)$. You will find it helpful to arrange the states $(s_A,s_B)$ on a two-dimensional grid, using $s_A$ and $s_B$ as “coordinates.”
-
Now apply two-player value iteration to solve this game, and derive the optimal policy.
Exercise 17.10 [3x3-mdp-exercise]
Consider the $3 \times 3$ world shown in Figure grid-mdp-figure(a). The transition model is the same as in the $4\times 3$ Figure sequential-decision-world-figure: 80% of the time the agent goes in the direction it selects; the rest of the time it moves at right angles to the intended direction.
Implement value iteration for this world for each value of $r$ below. Use discounted rewards with a discount factor of 0.99. Show the policy obtained in each case. Explain intuitively why the value of $r$ leads to each policy.
-
$r = -100$
-
$r = -3$
-
$r = 0$
-
$r = +3$
Exercise 17.11 [101x3-mdp-exercise]
Consider the $101 \times 3$ world shown in Figure grid-mdp-figure(b). In the start state the agent has a choice of two deterministic actions, Up or Down, but in the other states the agent has one deterministic action, Right. Assuming a discounted reward function, for what values of the discount $\gamma$ should the agent choose Up and for which Down? Compute the utility of each action as a function of $\gamma$. (Note that this simple example actually reflects many real-world situations in which one must weigh the value of an immediate action versus the potential continual long-term consequences, such as choosing to dump pollutants into a lake.)
Consider an undiscounted MDP having three states, (1, 2, 3), with rewards $-1$, $-2$, $0$, respectively. State 3 is a terminal state. In states 1 and 2 there are two possible actions: $a$ and $b$. The transition model is as follows:
-
In state 1, action $a$ moves the agent to state 2 with probability 0.8 and makes the agent stay put with probability 0.2.
-
In state 2, action $a$ moves the agent to state 1 with probability 0.8 and makes the agent stay put with probability 0.2.
-
In either state 1 or state 2, action $b$ moves the agent to state 3 with probability 0.1 and makes the agent stay put with probability 0.9.
Answer the following questions:
-
What can be determined qualitatively about the optimal policy in states 1 and 2?
-
Apply policy iteration, showing each step in full, to determine the optimal policy and the values of states 1 and 2. Assume that the initial policy has action $b$ in both states.
-
What happens to policy iteration if the initial policy has action $a$ in both states? Does discounting help? Does the optimal policy depend on the discount factor?
Consider the $4\times 3$ world shown in Figure sequential-decision-world-figure.
-
Implement an environment simulator for this environment, such that the specific geography of the environment is easily altered. Some code for doing this is already in the online code repository.
-
Create an agent that uses policy iteration, and measure its performance in the environment simulator from various starting states. Perform several experiments from each starting state, and compare the average total reward received per run with the utility of the state, as determined by your algorithm.
-
Experiment with increasing the size of the environment. How does the run time for policy iteration vary with the size of the environment?
Exercise 17.14 [policy-loss-exercise]
How can the value determination algorithm be used to calculate the expected loss experienced by an agent using a given set of utility estimates ${U}$ and an estimated model ${P}$, compared with an agent using correct values?
Exercise 17.15 [4x3-pomdp-exercise]
Let the initial belief state $b_0$ for the $4\times 3$ POMDP on page 4x3-pomdp-page be the uniform distribution over the nonterminal states, i.e., $< \frac{1}{9},\frac{1}{9},\frac{1}{9},\frac{1}{9},\frac{1}{9},\frac{1}{9},\frac{1}{9},\frac{1}{9},\frac{1}{9},0,0 >$. Calculate the exact belief state $b_1$ after the agent moves and its sensor reports 1 adjacent wall. Also calculate $b_2$ assuming that the same thing happens again.
What is the time complexity of $d$ steps of POMDP value iteration for a sensorless environment?
Exercise 17.17 [2state-pomdp-exercise]
Consider a version of the two-state POMDP on page 2state-pomdp-page in which the sensor is 90% reliable in state 0 but provides no information in state 1 (that is, it reports 0 or 1 with equal probability). Analyze, either qualitatively or quantitatively, the utility function and the optimal policy for this problem.
Exercise 17.18 [dominant-equilibrium-exercise]
Show that a dominant strategy equilibrium is a Nash equilibrium, but not vice versa.
In the children’s game of rock–paper–scissors each player reveals at the same time a choice of rock, paper, or scissors. Paper wraps rock, rock blunts scissors, and scissors cut paper. In the extended version rock–paper–scissors–fire–water, fire beats rock, paper, and scissors; rock, paper, and scissors beat water; and water beats fire. Write out the payoff matrix and find a mixed-strategy solution to this game.
Solve the game of three-finger Morra.
In the Prisoner’s Dilemma, consider the case where after each round, Alice and Bob have probability $X$ meeting again. Suppose both players choose the perpetual punishment strategy (where each will choose ${refuse}$ unless the other player has ever played ${testify}$). Assume neither player has played ${testify}$ thus far. What is the expected future total payoff for choosing to ${testify}$ versus ${refuse}$ when $X = .2$? How about when $X = .05$? For what value of $X$ is the expected future total payoff the same whether one chooses to ${testify}$ or ${refuse}$ in the current round?
The following payoff matrix, from @Blinder:1983 by way of @Bernstein:1996, shows a game between politicians and the Federal Reserve.
| Fed: contract | Fed: do nothing | Fed: expand | |
|---|---|---|---|
| Pol: contract | $F=7, P=1$ | $F=9,P=4$ | $F=6,P=6$ |
| Pol: do nothing | $F=8, P=2$ | $F=5,P=5$ | $F=4,P=9$ |
| Pol: expand | $F=3, P=3$ | $F=2,P=7$ | $F=1,P=8$ |
Politicians can expand or contract fiscal policy, while the Fed can expand or contract monetary policy. (And of course either side can choose to do nothing.) Each side also has preferences for who should do what—neither side wants to look like the bad guys. The payoffs shown are simply the rank orderings: 9 for first choice through 1 for last choice. Find the Nash equilibrium of the game in pure strategies. Is this a Pareto-optimal solution? You might wish to analyze the policies of recent administrations in this light.
A Dutch auction is similar in an English auction, but rather than starting the bidding at a low price and increasing, in a Dutch auction the seller starts at a high price and gradually lowers the price until some buyer is willing to accept that price. (If multiple bidders accept the price, one is arbitrarily chosen as the winner.) More formally, the seller begins with a price $p$ and gradually lowers $p$ by increments of $d$ until at least one buyer accepts the price. Assuming all bidders act rationally, is it true that for arbitrarily small $d$, a Dutch auction will always result in the bidder with the highest value for the item obtaining the item? If so, show mathematically why. If not, explain how it may be possible for the bidder with highest value for the item not to obtain it.
Imagine an auction mechanism that is just like an ascending-bid auction, except that at the end, the winning bidder, the one who bid $b_{max}$, pays only $b_{max}/2$ rather than $b_{max}$. Assuming all agents are rational, what is the expected revenue to the auctioneer for this mechanism, compared with a standard ascending-bid auction?
Teams in the National Hockey League historically received 2 points for winning a game and 0 for losing. If the game is tied, an overtime period is played; if nobody wins in overtime, the game is a tie and each team gets 1 point. But league officials felt that teams were playing too conservatively in overtime (to avoid a loss), and it would be more exciting if overtime produced a winner. So in 1999 the officials experimented in mechanism design: the rules were changed, giving a team that loses in overtime 1 point, not 0. It is still 2 points for a win and 1 for a tie.
-
Was hockey a zero-sum game before the rule change? After?
-
Suppose that at a certain time $t$ in a game, the home team has probability $p$ of winning in regulation time, probability $0.78-p$ of losing, and probability 0.22 of going into overtime, where they have probability $q$ of winning, $.9-q$ of losing, and .1 of tying. Give equations for the expected value for the home and visiting teams.
-
Imagine that it were legal and ethical for the two teams to enter into a pact where they agree that they will skate to a tie in regulation time, and then both try in earnest to win in overtime. Under what conditions, in terms of $p$ and $q$, would it be rational for both teams to agree to this pact?
-
@Longley+Sankaran:2005 report that since the rule change, the percentage of games with a winner in overtime went up 18.2%, as desired, but the percentage of overtime games also went up 3.6%. What does that suggest about possible collusion or conservative play after the rule change?


I worked on this project for CS 229 (Machine Learning) in Fall 2017 along with Xinru Hua and Haotian Zhang. We attempt to verify results from a paper which introduces a method to transfer images between different domains (i.e. face images to emoji) using a generative adversial network (GAN) that is trained in an unsupervised fashion.
View Project Project ReportThis is my first attempt at a full fluid solver that I implemented as part of an independent study. The simulation uses a PIC/FLIP method using a MAC grid structure based heavily on the book Fluid Simulation for Computer Graphics by Robert Bridson. This initial implementation is in 2D with a very simple visualization.
View Video 1 View Video 2 View ProjectAwarded Outstanding Project by Faculty Panel |
Project completed as part of the Smart Spaces REU at Lehigh University in the summer of 2016. It is an augmented reality Google Cardboard application for Android to visualize the alignment of bone models from MRI and Ultrasound scans. This application was built on top of a library that we ended up making as a spin-off of this project (see below). The final goal of the application is to make it easier for orthopedic surgeons to visualize the bone they are operating on by augmenting a high quality 3D model obtained through an MRI and aligned to the patient in real time using Ultrasound.
View Video View ProjectThe GAR Library is an easy-to-use Java library for creating augmented reality Android applications for the Google Cardboard. This was created as part of a summer REU. The library currently has functionality for rendering the phone camera view and any augmented objects in stereo, single marker tracking, and tracking marker cubes.
View ProjectThis is an interactive two-dimensional mass-spring system simulator written using OpenGL and GLUT. The user is able to add both fixed and dynamic masses to the system, and connect them with springs. As the simulation is running the user can interact with the dynamic masses in real time. The simulation uses Euler's Method for numerical integration and includes naive collision detection.
View Video View ProjectThis was my final project for CSCE 470: Computer Graphics. It is a 3D gravitational N-body simulation written in JavaScript using WebGL, so it runs in any web browser that supports WebGL. Users can parameterize the simulation with a number of settings as well as interactively view the simulation as it takes place. A detailed decription of the controls to simulation as well as the implementation can be found in the writeup on GitHub.
View Simulation View ProjectFor the last few years I've been teaching a weekly introductory course on programming concepts to members of the Society of Physics Students (SPS) at my university. To accomplish this I wrote a series of lessons teaching basic C++.
View Lessons


{% extends "layout.html" %} {% block title %}Convert miles to kilometers{% endblock %} {% block content %}
Enter a distance in miles and click "submit" to convert to kilometers


Which metal you need in your house according to your zodiac sign
by TIMESOFINDIA.COMWe don’t know when mercury’s retrograde is finally going to bow out, but what we do know for certain is that consulting the Zodiac sure does reverse the effects of the retrograde significantly. Here is our very celestial guide of metal accents you can to add to your home decor, immediately, based on your sign!
Iron | Aries, Scorpio, Cancer
Bold, outrageous, unique and made of steel best define these signs, much like their birth metal, Iron. Shiny, bright and magnetic, this is a metal that these signs should keep close.
Copper | Taurus, Libra, Aquarius Just like Copper, Taurians, Librans and Aquarians are positive personalities and tend to ward off all evil. There is no better addition to their homes than a door panel finished with copper. Not only is copper a coolant and lucky for these zodiac’s but is also a head-turner every time someone passes by your door!
Bronze | Gemini, Leo, Virgo
Flexible, adaptable and bright are words that you will often hear for people with these zodiac signs. Bronze is the only metal that will do justice to personalities as bright as theirs!
Gunmetal | Sagittarius, Pisces, Capricorn
(Image credit: Evolve India)
Gunmetal, an alloy of tin, copper and zinc, is everything that we love when it comes to home decor! Lucky for all the Sagittarians, Capricorns and Pisceans out there, they are the three zodiac signs that this metal is most suited for!
(Image credit: Evolve India)


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Chicken Wings (6) - $5.99
Calimari - $7.99
Garlic Breaded Pickles - $4.59
Chicken Picatta - $14.99
Chicken Pollo - $12.99
Lasagna (Chicken/Beef) - $10.99
Italian Sausage & Beef Combo - $15.99
Mac n Cheese with Chicken Tenders
Turtle Caramel Shake - $6.99
Chocolate Brownie Bite - $4.99
Momma's Homemade Chili - $7.99
White Lightning Chicken Noodle - $8.99
Vegetarian Supreme - $7.99
Spunky Chicken Salad - $8.99


Like interval data, ratio data is numeric in nature. Hence, the interval between the consecutive points of measurement is uniform, and you can perform any mathematical operations on it.


In particular, application classes using this package do not need to catch naming exceptions or obtain JNDI contexts.
The classes in this package are discussed in Chapter 11 of Expert One-On-One J2EE Design and Development by Rod Johnson (Wrox, 2002).


4 references to PSPrimitiveDictionary
System.Management.Automation (4)
engine\remoting\common\WireDataFormat\EncodeAndDecode.cs (1)
1725
return (T)(object)(new
PSPrimitiveDictionary
((Hashtable)propertyValue));
engine\serialization.cs (3)
5911
this.Add(entry.Key, new
PSPrimitiveDictionary
(valueAsHashtable));
6517
PSPrimitiveDictionary versionTable = new
PSPrimitiveDictionary
(PSVersionInfo.GetPSVersionTableForDownLevel())
6907
return new
PSPrimitiveDictionary
(hashtable);


Projects Portal
Bio
He is a programming student and emerging professional in the software development world Born and raised in Nigeria and now a resident of Lake City, Seattle.
Big time gamer, lover of music and also a producer when he is not coding All about Teamwork makes the Dreamwork.
JavaScript - Time Of Day
Project 1
60%
JavaScript - Guess The Number
Project 2
60%
JavaScript - Daily Grind
Project 3
60%
JavaScript - Dom-Play Project
Project 4
70%
JavaScript - Seasonal Styles Project
Project 5
70%
JavaScript - AJAX Pet Starter
Project 6


This is lrndesign-timeline
Charter now in effect signed by Governor Pollock, February 22; first Board of Trustees president, Judge Frederick Watts of Carlisle. Site in Centre County selected from nine offered throughout state; 200 acres donated by James Irvin with $10,000 pledge from citizens of Centre and Huntingdon counties.
Construction of Old Main (the "College Building") begun; supervised by William G. Waring, who was appointed superintendent to open the school and plan farm, orchards and nursery.
School renamed The Pennsylvania State College.
The Pennsylvania State University became official name.


Tutorial: Counter Application
2 The Set Up
Define Our Module
Naturally we need a module so lets sort that out first.
Define Our Functions
Now we can start to define the functionality that will make up our module. Lets start with new
.. Keeping to Erlang and LFE design principles we want to keep our counters in their own processes, so when this is called just spin up a new counter and hand back the pid
to the caller.
Now of course having the pid
to a process that does nothing but spawn itself isn't terribly useful so how about we implement the incr
function to bump our counter up by 1.
Notice that for the increment function we simply forward our request for an increment to occur and then end the function. Since our counter is designed to be a background process that will manage the counter it is holding and report back when asked. The increment step is an asynchronous action.
Tracking Counter State
Having a running process that we can send an increment instruction to is all well and good, but in this case it's a bit useless if we can't ask for the current value of the counter. Or the value of the counter at the time it was requested, if you want to be picky, so lets implement our count
function to request the current value of the count.
This function takes care of the steps required to talk to our running counter process and the provide a message back to the caller. First we send a message to the given counter process, asking for it's current count value, and then we wait for a response before responding with the result.


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This section will be pulled in automatically from meta.json. Make any appropriate edits that are specific to individual fields of the table there.
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DURING YOUR SAFAR
There is nothing quite like traveling, like seeing a new place for the first time or returning to a favorite place. People of all ages, from all countries, travel to different places for many different reasons – namely work, family and leisure. Whether by plane, train, ship or automobile, travel is generally a pleasurable experience, at least for the people who can financially afford comfortable and safe methods of travel. But it has more benefits than satisfying one’s need to make money, as well as to see loved ones and enjoy one’s self on vacation.
THE WORLD IS NOT ALWAYS ABOUT YOU  so explore the world to see how other people live and what they have to deal with on a daily basis, it leaves you speechless, then turns you into a storyteller.one of the most beautiful things about travel is the fact that every day is different. There are no routines, no set rules, or no expectations.You can do what you want, whenever you please.


var marks : array 1 .. 100 of int
var sum : int := 0
for i : 1 .. 100 % Add up the elements of marks
sum := sum + marks (i)
end for
var price : array 1988 .. 1990, 1 .. 12 of int
var sum : int := 0
for year : 1988 .. 1990 % For each year
for month : 1 .. 12 % For each month
sum := sum + price (year, month)
end for
end for
Arrays can also be declared in the form
The upper bound of a will be computed from the count of the initializing values. Both var and const arrays can be declared this way. An array variable/constant declared with "*" as an upper bound must have an initializing list. Only one dimensional arrays may be declared in this form.
Arrays can be assigned as a whole (to arrays of an equivalent type), but they cannot be compared.
An array can be initialized in its declaration using init. For details, see var and const declarations.
var a : array 1 .. * of typeSpec := init (
)
var howMany : int
get howMany
var height : array 1 .. howMany of real
read in all the elements of this array
function total (a : array 1 .. * of real) : real
var sum : real := 0
for i : 1 .. upper (a)
sum := sum + a (i)
end for
result sum
end total
put "Sum of the heights is ", total (height)
In the above example, upper(a) returns the size of a. See also upper and lower.
In the declaration of an array parameter, the upper bound can be given as an asterisk (*), as is done in the above example. This means that the upper bound is taken from that of the corresponding actual parameter (from height in this example).
You can have arrays of other types, for example arrays of record. If R is an array of records, then R(i).f is the way to access the f field of the i-th element of array R.
The indices may have compile-time or run-time upper bounds (the lower bound must be compile-time). The upper bounds can be changed by using:
The existing array entries will retain their values, except that any index made smaller will have the corresponding array entries lost. Any index made larger will have the new array entries uninitialized (if applicable).
Additionally, the upper bound (both in the declaration and the new statement) can be made one less than the lower bound. This effectively makes an array that contains 0 elements. It can later be increased in size with another new.
In the current implementation (2002), with a multi-dimensional array with a non-zero number of total elements, it is a run-time error to change any but the first dimension (unless one of the new upper bounds is one less than the corresponding lower bound, giving 0 elements in the array) as the algorithm to rearrange the element memory locations has not yet been implemented.
Currently, only variables can be declared in this form. There is no flexible array parameter type, although a flexible array can be passed to an array parameter with * as the upper bound.
var name : flexible array indexType { , indexType } of typeSpec
new name , newUpper1 {,newUpper2}
function getLines (fileName : string) : int
var f, numLines : int
var line : string
open : f, fileName, get
numLines := 0
loop
exit when eof (f)
get : f, line : *
numLines += 1
end loop
close : f
result numLines
end getLines
procedure readFile (var lines : array 1 .. * of string, fileName : string)
var f : int
var line : string
open : f, fileName, get
for i : 1 .. upper (lines)
get : f, lines (i) : *
end for
close : f
end readFile
var lines : flexible array 1 .. 0 of string
new lines, getLines ("text.dat")
readFile (lines, "text.dat")
for i : 1 .. upper (lines)
put lines (i)
end for


Facebook is great
Apple.
Microsoft.
This is a link
Welcome to the page
WE DON'T WANT YOU TO GO!
Open Dialog
Go to the previous page


Public API: opics package¶
components
types¶
|
Defines the base component model class used to create new components for a library. |
|
Defines the properties of a compound element or simulated component. |
|
Defines the properties of a waveguide component, can be used in the interconnected between components. |
opics.components
module¶
-
class
opics.components.
Waveguide
(f, length, data_folder, filename, TE_loss, **kwargs)[source]¶ Bases:
opics.components.componentModel
Defines the properties of a waveguide component, can be used in the interconnected between components.
-
class
opics.components.
componentModel
(f, data_folder, filename, nports=0, sparam_attr='', **kwargs)[source]¶ Bases:
object
Defines the base component model class used to create new components for a library.
-
get_data
(ports=None, xscale='freq', yscale='log')[source]¶ Get the S-parameters data for specific [input,output] port combinations, to be used for plotting functionalities. (WARNING: unused, to be used in plot_sparameters)
- Parameters
ports (list, optional) – List of lists that contains the desired S-parameters, e.g., [[1,1],[1,2],[2,1],[2,2]]. Defaults to None.
xscale (str, optional) – Plotting x axis label. Defaults to “freq”.
yscale (str, optional) – Plotting Y axis label. Defaults to “log”.
- Returns
temp_data (dict) – Dictionary containing the plotting information to be used, including S-parameters data and plotting labels.
-
interpolate_sparameters
(target_f, source_f, source_s)[source]¶ Cubic interpolation of the component sparameter data to match the desired simulation frequency range.
- Parameters
target_f (numpy.ndarray) – The target frequency range onto which the s-parameters will be interpereted on.
source_f (numpy.ndarray) – The source frequency range that the component data has stored.
source_s (numpy.ndarray) – The source s-parameters that the component data has stored.
- Returns
sparameters (numpy.ndarray) – Interpolated s-parameters value over the target frequency range.
-
load_sparameters
(data_folder, filename)[source]¶ Decides whether to load sparameters from npz file or from a raw sparam file or from a look-up table (for tunable components with attributes).
- Parameters
data_folder (pathlib.Path) – The location of the data folder containing s-parameter data files and a look up table.
filename (str) – File name of the component.
- Returns
sparameters (numpy.ndarray) – Array of the component’s s-parameters.
-
plot_sparameters
(ports=None, show_freq=True, scale='log')[source]¶ Plot the component’s S-parameters.
- Parameters
ports (list, optional) – List of lists that contains the desired S-parameters, e.g., [[1,1],[1,2],[2,1],[2,2]]. Defaults to None.
show_freq (bool, optional) – Flag to determine whether to plot with respect to frequency or wavelength. Defaults to True.
scale (str, optional) – Plotting y axis scale, options available: [“log”, “abs”, “abs_sq”]. Defaults to “log”.
-
write_sparameters
(dirpath, filename, f_data, s_data)[source]¶ Export the simulated s-parameters to a file.
- Parameters
dirpath (pathlib.Path) – Directory of the filed to be saved.
filename (str) – Name of the file to be saved.
f_data (numpy.ndarray) – Frequency range data to be exported.
s_data (numpy.ndarray) – S-parameter data to be exported.
-
-
class
opics.components.
compoundElement
(f, s, nets=None)[source]¶ Bases:
opics.components.componentModel
Defines the properties of a compound element or simulated component. A compound element is a collection of connected components, inherits componentModel OPICS class.
opics.network module¶
-
class
opics.network.
Network
(networkID=None)[source]¶ Bases:
object
specifies the network
-
global_to_local_ports
(net_id, nets)[source]¶ returns which components the net_id refers to and their corresponding local ports
-
opics.sparam_ops module¶
-
opics.sparam_ops.
connect_s
(A, k, B, l, create_composite_matrix=True)[source]¶ connect two n-port networks’ s-matrices together.
specifically, connect port k on network A to port l on network B. The resultant network has nports = (A.rank + B.rank-2). This function operates on, and returns s-matrices. The function
connect()
operates onNetwork
types.- Parameters
A (
numpy.ndarray
) – S-parameter matrix of A, shape is fxnxnk (int) – port index on A (port indices start from 0)
B (
numpy.ndarray
) – S-parameter matrix of B, shape is fxnxnl (int) – port index on B
- Returns
C (
numpy.ndarray
) – new S-parameter matrix
Notes
internally, this function creates a larger composite network and calls the
innerconnect_s()
function. see that function for more details about the implementationSee also
connect()
operates on
Network
typesinnerconnect_s()
function which implements the connection connection algorithm
-
opics.sparam_ops.
innerconnect_s
(A, k, l)[source]¶ connect two ports of a single n-port network’s s-matrix.
Specifically, connect port k to port l on A. This results in a (n-2)-port network. This function operates on, and returns s-matrices. The function
innerconnect()
operates onNetwork
types.- Parameters
A (
numpy.ndarray
) – S-parameter matrix of A, shape is fxnxnk (int) – port index on A (port indices start from 0)
l (int) – port index on A
- Returns
C (
numpy.ndarray
) – new S-parameter matrix
Notes
The algorithm used to calculate the resultant network is called a ‘sub-network growth’, can be found in 1. The original paper describing the algorithm is given in 2.
References
- 1
Compton, R.C.; , “Perspectives in microwave circuit analysis,” Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on , vol., no., pp.716-718 vol.2, 14-16 Aug 1989. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=101955&isnumber=3167
- 2
Filipsson, Gunnar; , “A New General Computer Algorithm for S-Matrix Calculation of Interconnected Multiports,” Microwave Conference, 1981. 11th European , vol., no., pp.700-704, 7-11 Sept. 1981. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4131699&isnumber=4131585
opics.utils module¶
-
opics.utils.
LUT_processor
(filedir, lutfilename, lutdata, nports, sparam_attr, verbose=False)[source]¶ process look up table data
-
opics.utils.
NetlistProcessor
(spice_filepath, Network, libraries, c_, circuitData)[source]¶ process a spice netlist to setup and simulate a circuit.
-
opics.utils.
fromSI
(value_)[source]¶ converts from SI unit values to metric
- Parameters
value (str) – a value in SI units, e.g. 1.3u
- Returns
float – the value in metric units.
-
class
opics.utils.
netlistParser
(mainfile_path)[source]¶ Bases:
object
A netlist parser to read spi files generated by SiEPIC tools
-
opics.utils.
universal_sparam_filereader
(nports, sfilename, sfiledir, format_type='auto')[source]¶ Function to automatically detect the sparameter file format and use appropriate method to delimit and format sparam data
This function is a unified version of sparameter reader function defined in https://github.com/BYUCamachoLab/simphony


They Will befriend you and you wont know if they will sabotage your life.Choices your friends wisely rather than having money and have money friends who doesnt care about you.
It is better for you to be Counseled rather than you are Counseling,Yes it is true its is to understand your friend but let me ask you do they even understand how you feel??


NINI'S FARM
quality milk just for you
Know us
Nini's farm is a small farm located in Nakuru county, Nakuru west sub county. The farm wast started 10 years ago and it has really grown since then. We started with only fifteen cows but of now we have almost a hundred cows. we deal only on the production of milk and the business is really growing. We have few people managing the farm so that to ensure proper running of activites run in the farm. We offer quality milk to our customers something wich makes us have new customers every now and then making us a trusted brand
Milk production per shed
Our total income


Rome Adventure (1962)
Grade: 49
"Rome Adventure" is a romantic fantasy targeted to young women and armchair tourists. The cast is lovely and the photography of Rome is interesting. However, the pace is deadly slow, and the two hour length is too long for the skimpy story.
Suzanne Pleshett, in her film debut, plays an American librarian who decides to quit her job and take an extended vacation in Rome. Apparently her parents are wealthy and obliging and pay for the associated bills. Once there, she must choose between handsome and interested suitors, and find her one true love.
Pleshett is a capable actress, but in this role she may as well be perfect. Let's see, she's educated, gorgeous, intelligent, young, of wealthy parentage, and relentlessly normal. As a result, she's also impossible to identify with. There's not much drama in which paramour she will choose, since any one of them is a reasonable choice. Anyway, it isn't revealing much to state that Troy Donahue is her favorite. They later wed in real life, just in time for his career to falter.
More trivia: The song "Al De La" featured here became a top ten pop hit in 1962.
Pleschett and Donahue spend many romantic and photogenic moments among Rome's ancient ruins, elaborate churches and fountains, and art museums. Curiously, although the weather is fine, they are always about the only people there. But when they are in a nightclub, it is always crowded.
Romans, who built and preserved the featured landmarks, are in this film reduced to the role of deferential servants. Tourists and foreigners have apparently taken control of Rome.
Jazz trumpeter Al Hirt has a cameo. His character is supposed to provide comic relief, but it just doesn't work.
Despite all its faults, the film is not awful. What strength it has comes from the cinematography and the attractive cast.
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).
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@* * Copyright 2017 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import models.IsCompanyKnowledgeIntensiveModel @import uk.gov.hmrc.play.views.html.helpers.form @import common.Constants @import views.html.helpers.{backButtonWithProgress} @import uk.gov.hmrc.play.views.html.helpers.{form, inputRadioGroup, errorSummary} @(isCompanyKnowledgeIntensiveForm: Form[IsCompanyKnowledgeIntensiveModel])(implicit request: Request[_], messages: Messages) @main_template(Messages("page.companyDetails.IsCompanyKnowledgeIntensive.title")) { @backButtonWithProgress(controllers.eis.routes.GrossAssetsAfterIssueController.show().toString, Messages("common.section.progress.details.one")) @errorSummary(Messages("common.error.summary.heading"), isCompanyKnowledgeIntensiveForm)
@Messages("page.companyDetails.IsCompanyKnowledgeIntensive.description.1")
@Messages("page.companyDetails.IsCompanyKnowledgeIntensive.ki-requirement-also")


We have RV and tent sites ready!
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Below are the candidates for the Futures Council. They are in no particular order as they are shuffled to avoid bias introduced by their order.
Please take your time in making your selection as there is a lot at stake. You can vote as many times as you like, but only your most recent vote will count.
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Order the candidates the way you see fit and press the Submit vote button
Write the order number into the right hand section of each row then hand the completed form to Fiona or Josephine.


Internal Server Error - Please Refresh the Page
Error: {{error.message}}
What to do next?
-
Open Chrome Dev Tools
-
Inspect the Network Tab
-
Check the failing request in red
-
Examine the request URL - make sure it is correct
-
Reproduce the error in Postman - if we see the same response, than the issue isn't on the client
The Following is the Stack Trace
{{error.details}}


This is the Grocer. A simple web app to create meal recipes, schedule them and generate grocey lists based on schedules.


An interactive explorer for single-cell transcriptomics data
Quick start
Installation
Gallery
Cellxgene data portal
Demo datasets
Preparing your data
Launching cellxgene
Hosting cellxgene
Annotating data
Methods
Troubleshooting
Roadmap
Contributing (ideas or code)
Contact & finding help
Code
pip install cellxgene
and got a weird error I don’t understandThis may happen, especially as we work out bugs in our installation process! Please create a new Github issue, explain what you did, and include all the error messages you saw. It’d also be super helpful if you call pip freeze
and include the full output alongside your issue.
If your dataset requires gigabytes of disk space, you may need to select an appropriate storage format in order to effectively utilize cellxgene
. Tips and tricks:
cellxgene
is optimized for columnar data access. For large datasets, format the expression matrix (.X
) as either a SciPy CSC sparse matrix or a dense Numpy array (whichever creates a smaller h5ad
file). If you are using cellxgene prepare
, include the --sparse
flag to ensure .X
is formatted as a CSC sparse matrix (by default, .X
will be a dense matrix).cellxgene
loads the dataset into memory, and start time is directly proportional to h5ad
file size and the speed of your file system. Expect that large (e.g., million cell) datasets will take minutes to load, even on relatively fast computers with a high performance local hard drive. Once loaded, exploring metadata should still be quick. If this start time is a problem, try the --backed
flag, which will attempt to lazily load data as needed (caveat: subsequent data access may be slower).--disable-diffexp
flag. For datasets that are extremely large, you may also find the --backed
flag improves your ability to explore them.This is likely because you do not have node and npm installed, we recommend using nvm if you’re new to using these tools.


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import config.ApplicationConfig @import models.auth.AuthenticatedUserRequest @import includes.{H1, H2, H3, P, Link} @this( main: main, applicationConfig: ApplicationConfig, h1: H1, h2: H2, h3: H3, p: P, link: Link) @()(implicit messages: Messages, request: AuthenticatedUserRequest[_]) @main( pageTitle = Some(Messages("title.pattern", Messages("title.bereavement"))), backLinkHref = Some(controllers.routes.UpdateRelationshipController.history.url) ) { @h1("change.status.bereavement.sorry", elmId = Some("bereavement-transferor")) @p(Text(messages("change.status.bereavement.tr.instruction")))


Test, which is a new approach to have all solutions astrology under one roof.
Test, which is a new approach to have all solutions astrology under one roof.
Test, which is a new approach to have all solutions astrology under one roof.
Test, which is a new approach to have all solutions astrology under one roof.
Test, which is a new approach to have all solutions astrology under one roof.
Test, which is a new approach to have all solutions astrology under one roof.
Test, which is a new approach to have all solutions astrology under one roof.


This material is based upon work supported by the National Science Foundation under NSF Award Number 1546024


02.Create a dynamic select using Handlebars.js
The options in the select should be generated based on a collection of JavaScript objects
This shoud be working: var selectHTML = selectTemplate(items);


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EXECUTE_COMMAND_LINE(3) - [SYSTEM:PROCESSES] Execute a shell command
call execute_command_line( & & command [,wait] [,exitstat] [,cmdstat] [,cmdmsg] )
subroutine execute_command_line(command,wait,exitstat,cmdstat,cmdmsg)character(len=*),intent(in) :: command logical,intent(in),optional :: wait integer,intent(inout),optional :: exitstat integer,intent(inout),optional :: cmdstat character(len=*),intent(inout),optional :: cmdmsg
o COMMAND is a default character scalar o WAIT is a default logical scalar. If WAIT is present with the o EXITSTAT is an integer of the default kind. It must be of a kind with at least a decimal exponent range of 9. o CMDSTAT is an integer of default kind The kind of the variable must support at least a decimal exponent range of four. o CMDMSG is a character scalar of the default kind.
For EXECUTE_COMMAND_LINE(3) the COMMAND argument is passed to the shell and executed. (The shell is generally SH(1) on Unix systems, and cmd.exe on Windows.) If WAIT is present and has the value .false., the execution of the command is asynchronous if the system supports it; otherwise, the command is executed synchronously.
The three last arguments allow the user to get status information. After synchronous execution, EXITSTAT contains the integer exit code of the command, as returned by SYSTEM. CMDSTAT is set to zero if the command line was executed (whatever its exit status was). CMDMSG is assigned an error message if an error has occurred.
Note that the system call need not be thread-safe. It is the responsibility of the user to ensure that the system is not called concurrently if required.
When the command is executed synchronously, EXECUTE_COMMAND_LINE returns after the command line has completed execution. Otherwise, EXECUTE_COMMAND_LINE returns without waiting.
Because this intrinsic is making a system call, it is very system dependent. Its behavior with respect to signaling is processor dependent. In particular, on POSIX-compliant systems, the SIGINT and SIGQUIT signals will be ignored, and the SIGCHLD will be blocked. As such, if the parent process is terminated, the child process might not be terminated alongside.
o COMMAND : the command line to be executed. The interpretation is programming-environment dependent. o WAIT : If WAIT is present with the value .false., and the processor supports asynchronous execution of the command, the command is executed asynchronously; otherwise it is executed synchronously. When the command is executed synchronously, EXECUTE_COMMAND_LINE(3) returns after the command line has completed execution. Otherwise, EXECUTE_COMMAND_LINE(3) returns without waiting.
o EXITSTAT : If the command is executed synchronously, it is assigned the value of the processor-dependent exit status. Otherwise, the value of EXITSTAT is unchanged. o CMDSTAT : If an error condition occurs and CMDSTAT is not present, error termination of execution of the image is initiated. It is assigned the value -1 if the processor does not support command line execution, a processor-dependent positive value if an error condition occurs, or the value -2 if no error condition occurs but WAIT is present with the value false and the processor does not support asynchronous execution. Otherwise it is assigned the value 0.
o CMDMSG : If an error condition occurs, it is assigned a processor-dependent explanatory message. Otherwise, it is unchanged.
Sample program:
program demo_exec implicit none integer :: icall execute_command_line("external_prog.exe", exitstat=i) print *, "Exit status of external_prog.exe was ", i
call execute_command_line("reindex_files.exe", wait=.false.) print *, "Now reindexing files in the background" end program demo_exec
Fortran 2008
GET_ENVIRONMENT_VARIABLE(3)
fortran-lang intrinsic descriptions (license: MIT) @urbanjost
| Nemo Release 3.1 | execute_command_line (3) | July 22, 2023 |


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Matthew Duffin
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I am a web designer trained in Front End Web Development
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VSL // Adventurous Musicians
* Vi Hart is a composer and mathematician who explains mathematical concepts with music, or musical concepts with math. Her many delightfully homespun videos cover topics like infinity, copyright law, net neutrality, and more. Her videos can entertain for days, but “Twelve Tones” is one of my faves
today’s Very Short List:
culture 17 Sep 2014
Ted Hearne
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This scenario shows how to add NavBarCommands to a NavBarContainer using WinJS.Binding.List.
Note that the NavBar has two NavBarContainers: the top navbarcontainer has one row (default) and the bottom one has three rows. The number of rows in a NavBarContainers can be set using the maxRows property.


Requests and responses through which a web browser and web server communicate happen with HTTP
INLINE
INTERNAL
EXTERNAL
<!DOCTYPE html>

 Click Me

INLINE
INTERNAL
EXTERNAL
INLINE
INTERNAL
EXTERNAL

INLINE
INTERNAL
EXTERNAL

async
and defer
attributes can be added to script element to modify its sequence of processingasync
attribute tells a browser to parse the HTML and JavaScript code togetherdefer
attribute defers script processing until after the page has been completely parsed and loaded
<!DOCTYPE html>

<title>Incorporating JS - INLINE </title>

 Click Me

Apply the following bullet points to the HTML code below.
Comments help understand the design and purpose of programs
JavaScript comments can be entered on single or multiple lines
// This is example of single line text
/* This is an example of a comment block
that can span multiple lines.
*/
<!DOCTYPE html>

<title>Simple JS program </title>

Apply the following bullet points to the HTML code below.
With the Document Object Model, programmers can create and build documents, navigate their structure, and add, modify, or delete elements and content.
Commenting out Code
Logging output to Console
Browser and Editor Debugging
The three above techniques can be used in conjunction.
Step 1
Render the html document in the browser and inspect elements by pressing "F12" and click on the "Sources" tab and navigate folder structure in left panel.
Step 2
Select JS file you would like to debug and create breakpoint on a line within the middle panel that displays the script.
Step 3
Peform an action that would involk code to run and observe variable assignment.


{% extends "angular/base.html" %} {% comment %} Copyright 2013, 2014 Ricardo Tubio-Pardavila Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. {% endcomment %} {% load i18n %} {% load staticfiles %} {% block app_head %} {% endblock %} {% block content %} {% verbatim %}


ZIFA boss Felton Kamambo arrested over Chiyangwa phone insults
ZIFA boss Felton Kamambo and board member responsible for finance Philemon Machana were today morning arrested and dragged to court for contravening the Postal Communications Act after both sent threatening messages to former ZIFA president and COSAFA supremo, Philip Chiyangwa.
The duo have since appeared before the Harare magistrate court and are out on bail pending trial.
The court heard that on 18 November Machana sent a message to Chiyangwa hailing insults and some unprintable words.
The next day, 19 November 2019 Kamambo also sent the Zanu PF legislator a similar message in which he also told the COSAFA President to stop interfering in the running of football in Zimbabwe.
An unverified message from one of the accused reads:
Hie President. You are urged to stop your funny and negative interferences with football meanwhile urgently start accounting for all Zifa money you stole.
Kamambo also accused Chiyangwa of stealing money during his tenure as ZIFA boss.


Sparkline for rerate
rerate:sparkline:0
rerate:sparkline:1
rerate:sparkline:a
rerate:sparkline:b
rerate:sparkline:c
rerate:sparkline:d


#include <usbdaudio.h>
Data Fields | |
| unsigned short | usVID |
| The vendor ID that this device is to present in the device descriptor. | |
| unsigned short | usPID |
| The product ID that this device is to present in the device descriptor. | |
| unsigned char | pucVendor [8] |
| 8 byte vendor string. | |
| unsigned char | pucProduct [16] |
| 16 byte vendor string. | |
| unsigned char | pucVersion [4] |
| 4 byte vendor string. | |
| unsigned short | usMaxPowermA |
| The maximum power consumption of the device, expressed in mA. | |
| unsigned char | ucPwrAttributes |
| const unsigned char *const * | ppStringDescriptors |
| unsigned long | ulNumStringDescriptors |
| tUSBCallback | pfnCallback |
| short | sVolumeMax |
| The maximum volume expressed as an 8.8 signed value. | |
| short | sVolumeMin |
| The minimum volume expressed as an 8.8 signed value. | |
| short | sVolumeStep |
| The minimum volume step expressed as an 8.8 signed value. | |
| tAudioInstance * | psPrivateData |
The structure used by the application to define operating parameters for the device audio class.
| tUSBCallback tUSBDAudioDevice::pfnCallback |
A pointer to the callback function which will be called to notify the application of events relating to the operation of the audio device.
| const unsigned char* const* tUSBDAudioDevice::ppStringDescriptors |
A pointer to the string descriptor array for this device. This array must contain the following string descriptor pointers in this order. Language descriptor, Manufacturer name string (language 1), Product name string (language 1), Serial number string (language 1), Audio Interface description string (language 1), Configuration description string (language 1).
If supporting more than 1 language, the descriptor block (except for string descriptor 0) must be repeated for each language defined in the language descriptor.
| tAudioInstance* tUSBDAudioDevice::psPrivateData |
A pointer to private instance data for the audio device. This memory must remain accessible for as long as the audio device is in use and must not be modified by any code outside the audio class driver.
| unsigned char tUSBDAudioDevice::ucPwrAttributes |
Indicates whether the device is self or bus-powered and whether or not it supports remote wake up. Valid values are USB_CONF_ATTR_SELF_PWR or USB_CONF_ATTR_BUS_PWR, optionally ORed with USB_CONF_ATTR_RWAKE.
| unsigned long tUSBDAudioDevice::ulNumStringDescriptors |
The number of descriptors provided in the ppStringDescriptors array. This must be 1 + ((5 + (number of strings)) * (number of languages)).