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Use flags to group coverage reports by test type, project and/or folders.
Then setup custom commit statuses and notifications for each flag.
e.g., #unittest #integration
#production #enterprise
#frontend #backend
99  99  setMethod("is_decr", "Abs", function(object, idx) { is_nonpos(object@args[[idx]]) }) 

100  100  
101  101  #' @describeIn Abs Is \code{x} piecewise linear? 

102    setMethod("is_pwl", "Abs", function(object) { 

102  +  setMethod("is_pwl", "Abs", function(object) { 

103  103  is_pwl(object@args[[1]]) && (is_real(object@args[[1]])  is_imag(object@args[[1]])) 

104  104  }) 

105  105 
291  291  result < 2*sapply(val, function(v) { huber_loss(M_val, v) }) 

292  292  else 

293  293  result < 2*apply(val, 1:length(dim(val)), function(v) { huber_loss(M_val, v) }) 

294    
294  +  
295  295  if(all(dim(result) == 1)) 

296  296  result < as.vector(result) 

297  297  return(result) 
744  744  rows < size(object@args[[idx]]) 

745  745  cols < size(object) 

746  746  grad_vals < (value == min_vals) & unused 

747    
747  +  
748  748  # Remove all the min_vals that were used 

749  749  unused[value == min_vals] < FALSE 

750  750  grad_list < c(grad_list, list(Elementwise.elemwise_grad_to_diag(grad_vals, rows, cols))) 

751  751  idx < idx + 1 

752  752  } 

753  753  grad_list 

754  754  }) 

755    #' 

755  +  #' 

756  756  #' An alias for MinElemwise(x, 0) 

757    #' 

757  +  #' 

758  758  #' @param x An R numeric value or \linkS4class{Expression}. 

759  759  #' @return An alias for MinElemwise(x, 0) 

760  760  #' @rdname Negint 

761  761  Neg < function(x) { MinElemwise(x, 0) } 

762    #' 

762  +  #' 

763  763  #' An alias for MaxElemwise(x, 0) 

764  764  #' 

765  765  #' @param x An R numeric value or \linkS4class{Expression}. 
773  773  #' This class represents the elementwise power function \eqn{f(x) = x^p}. 

774  774  #' If \code{expr} is a CVXR expression, then \code{expr^p} is equivalent to \code{Power(expr, p)}. 

775  775  #' 

776    #' #' For \eqn{p = 0}, \eqn{f(x) = 1}, constant, positive. 

777    #' For \eqn{p = 1}, \eqn{f(x) = x}, affine, increasing, same sign as \eqn{x}. 

778    #' For \eqn{p = 2,4,8,...}, \eqn{f(x) = x^p}, convex, signed monotonicity, positive. 

779    #' For \eqn{p < 0} and \eqn{f(x) = } 

780    #' \itemize{ 

781    #' \item{\eqn{x^p}}{ for \eqn{x > 0}} 

782    #' \item{\eqn{+\infty}}{\eqn{x \leq 0}} 

783    #' }, this function is convex, decreasing, and positive. 

784    #' For \eqn{0 < p < 1} and \eqn{f(x) =} 

785    #' \itemize{ 

786    #' \item{\eqn{x^p}}{ for \eqn{x \geq 0}} 

787    #' \item{\eqn{\infty}}{\eqn{x < 0}} 

788    #' }, this function is concave, increasing, and positive. 

789    #' For \eqn{p > 1, p \neq 2,4,8,\ldots} and \eqn{f(x) = } 

790    #' \itemize{ 

791    #' \item{\eqn{x^p}}{ for \eqn{x \geq 0}} 

792    #' \item{\eqn{+\infty}}{\eqn{x < 0}} 

793    #' }, this function is convex, increasing, and positive. 

776  +  #' \describe{ 

777  +  #' \item{For \eqn{p = 0}}{\eqn{f(x) = 1}, constant, positive} 

778  +  #' \item{For \eqn{p = 1}}{\eqn{f(x) = x}, affine, increasing, same sign as \eqn{x}} 

779  +  #' \item{For \eqn{p = 2,4,8,...}}{\eqn{f(x) = x^p}, convex, signed monotonicity, positive} 

780  +  #' \item{For \eqn{p < 0}}{\eqn{f(x) = \begin{cases} x^p & \text{for $x > 0$} \\ +\infty & \text{ for $x \leq 0$} \end{cases}}, this function is convex, decreasing, and positive} 

781  +  #' \item{For \eqn{0 < p < 1}}{\eqn{f(x) = \begin{cases} x^p & \text{for $x \geq 0$} \\ \infty & \text{ for $x < 0$} \end{cases}}, this function is concave, increasing, and positive} 

782  +  #' \item{For \eqn{p > 1, p \neq 2,4,8,\ldots}}{\eqn{f(x) = \begin{cases} x^p & \text{for $x \geq 0$} \\ +\infty & \text{for $x < 0$} \end{cases}}, this function is convex, increasing, and positive.} 

783  +  #' } 

794  784  #' 

795  785  #' @slot x The \linkS4class{Expression} to be raised to a power. 

796  786  #' @slot p A numeric value indicating the scalar power. 
865  855  }) 

866  856  
867  857  #' @describeIn Power Is \eqn{p \leq 0} or \eqn{p \geq 1}? 

868    setMethod("is_atom_convex", "Power", function(object) { 

858  +  setMethod("is_atom_convex", "Power", function(object) { 

869  859  # p == 0 is affine here. 

870    object@p <= 0  object@p >= 1 

860  +  object@p <= 0  object@p >= 1 

871  861  }) 

872  862  
873  863  #' @describeIn Power Is \eqn{p \geq 0} or \eqn{p \leq 1}? 

874  864  setMethod("is_atom_concave", "Power", function(object) { 

875  865  # p == 0 is affine here. 

876    object@p >= 0 && object@p <= 1 

866  +  object@p >= 0 && object@p <= 1 

877  867  }) 

878  868  
879  869  #' @describeIn Power Is the atom loglog convex? 
Learn more Showing 1 files with coverage changes found.
R/conic_solvers.R
Files  Coverage 

R  ^{ 3.05% } 56.82% 
inst/include  100.00% 
src  73.96% 
Project Totals (45 files)  58.51% 
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