X-Git-Url: https://git.saurik.com/wxWidgets.git/blobdiff_plain/6632225c98f1a178c599a0238bb5c79d4d960f2b..80a779275ae04443c568dca919adb26cf6f5002c:/src/common/image.cpp diff --git a/src/common/image.cpp b/src/common/image.cpp index d7ef644f5f..a2674529de 100644 --- a/src/common/image.cpp +++ b/src/common/image.cpp @@ -20,21 +20,17 @@ #ifndef WX_PRECOMP #include "wx/log.h" - #include "wx/app.h" #include "wx/hash.h" #include "wx/utils.h" - #include "wx/bitmap.h" #include "wx/math.h" + #include "wx/module.h" + #include "wx/palette.h" + #include "wx/intl.h" #endif #include "wx/filefn.h" #include "wx/wfstream.h" -#include "wx/intl.h" -#include "wx/module.h" - -#if wxUSE_XPM - #include "wx/xpmdecod.h" -#endif +#include "wx/xpmdecod.h" // For memcpy #include @@ -52,6 +48,10 @@ #endif // wxUSE_FILE/wxUSE_FFILE #endif // HAS_FILE_STREAMS +#if wxUSE_VARIANT +IMPLEMENT_VARIANT_OBJECT_EXPORTED(wxImage,WXDLLEXPORT) +#endif + //----------------------------------------------------------------------------- // wxImage //----------------------------------------------------------------------------- @@ -162,17 +162,12 @@ wxImage::wxImage( wxInputStream& stream, const wxString& mimetype, int index ) } #endif // wxUSE_STREAMS -wxImage::wxImage( const char** xpmData ) +wxImage::wxImage(const char* const* xpmData) { Create(xpmData); } -wxImage::wxImage( char** xpmData ) -{ - Create((const char**) xpmData); -} - -bool wxImage::Create( const char** xpmData ) +bool wxImage::Create(const char* const* xpmData) { #if wxUSE_XPM UnRef(); @@ -415,7 +410,7 @@ wxImage wxImage::ShrinkBy( int xFactor , int yFactor ) const return image; } -wxImage wxImage::Scale( int width, int height ) const +wxImage wxImage::Scale( int width, int height, int quality ) const { wxImage image; @@ -430,64 +425,91 @@ wxImage wxImage::Scale( int width, int height ) const wxCHECK_MSG( (old_height > 0) && (old_width > 0), image, wxT("invalid old image size") ); - if ( old_width % width == 0 && old_width >= width && - old_height % height == 0 && old_height >= height ) + // If the image's new width and height are the same as the original, no + // need to waste time or CPU cycles + if ( old_width == width && old_height == height ) + return *this; + + // Scale the image (...or more appropriately, resample the image) using + // either the high-quality or normal method as specified + if ( quality == wxIMAGE_QUALITY_HIGH ) { - return ShrinkBy( old_width / width , old_height / height ) ; + // We need to check whether we are downsampling or upsampling the image + if ( width < old_width && height < old_height ) + { + // Downsample the image using the box averaging method for best results + image = ResampleBox(width, height); + } + else + { + // For upsampling or other random/wierd image dimensions we'll use + // a bicubic b-spline scaling method + image = ResampleBicubic(width, height); + } } - image.Create( width, height, false ); + else // Default scaling method == simple pixel replication + { + if ( old_width % width == 0 && old_width >= width && + old_height % height == 0 && old_height >= height ) + { + return ShrinkBy( old_width / width , old_height / height ) ; + } + image.Create( width, height, false ); - unsigned char *data = image.GetData(); + unsigned char *data = image.GetData(); - wxCHECK_MSG( data, image, wxT("unable to create image") ); + wxCHECK_MSG( data, image, wxT("unable to create image") ); - unsigned char *source_data = M_IMGDATA->m_data; - unsigned char *target_data = data; - unsigned char *source_alpha = 0 ; - unsigned char *target_alpha = 0 ; + unsigned char *source_data = M_IMGDATA->m_data; + unsigned char *target_data = data; + unsigned char *source_alpha = 0 ; + unsigned char *target_alpha = 0 ; - if (M_IMGDATA->m_hasMask) - { - image.SetMaskColour( M_IMGDATA->m_maskRed, - M_IMGDATA->m_maskGreen, - M_IMGDATA->m_maskBlue ); - } - else - { - source_alpha = M_IMGDATA->m_alpha ; - if ( source_alpha ) + if ( !M_IMGDATA->m_hasMask ) { - image.SetAlpha() ; - target_alpha = image.GetAlpha() ; + source_alpha = M_IMGDATA->m_alpha ; + if ( source_alpha ) + { + image.SetAlpha() ; + target_alpha = image.GetAlpha() ; + } } - } - long x_delta = (old_width<<16) / width; - long y_delta = (old_height<<16) / height; + long x_delta = (old_width<<16) / width; + long y_delta = (old_height<<16) / height; - unsigned char* dest_pixel = target_data; + unsigned char* dest_pixel = target_data; - long y = 0; - for ( long j = 0; j < height; j++ ) + long y = 0; + for ( long j = 0; j < height; j++ ) { - unsigned char* src_line = &source_data[(y>>16)*old_width*3]; - unsigned char* src_alpha_line = source_alpha ? &source_alpha[(y>>16)*old_width] : 0 ; + unsigned char* src_line = &source_data[(y>>16)*old_width*3]; + unsigned char* src_alpha_line = source_alpha ? &source_alpha[(y>>16)*old_width] : 0 ; - long x = 0; - for ( long i = 0; i < width; i++ ) - { - unsigned char* src_pixel = &src_line[(x>>16)*3]; - unsigned char* src_alpha_pixel = source_alpha ? &src_alpha_line[(x>>16)] : 0 ; - dest_pixel[0] = src_pixel[0]; - dest_pixel[1] = src_pixel[1]; - dest_pixel[2] = src_pixel[2]; - dest_pixel += 3; - if ( source_alpha ) - *(target_alpha++) = *src_alpha_pixel ; - x += x_delta; + long x = 0; + for ( long i = 0; i < width; i++ ) + { + unsigned char* src_pixel = &src_line[(x>>16)*3]; + unsigned char* src_alpha_pixel = source_alpha ? &src_alpha_line[(x>>16)] : 0 ; + dest_pixel[0] = src_pixel[0]; + dest_pixel[1] = src_pixel[1]; + dest_pixel[2] = src_pixel[2]; + dest_pixel += 3; + if ( source_alpha ) + *(target_alpha++) = *src_alpha_pixel ; + x += x_delta; + } + + y += y_delta; } + } - y += y_delta; + // If the original image has a mask, apply the mask to the new image + if (M_IMGDATA->m_hasMask) + { + image.SetMaskColour( M_IMGDATA->m_maskRed, + M_IMGDATA->m_maskGreen, + M_IMGDATA->m_maskBlue ); } // In case this is a cursor, make sure the hotspot is scaled accordingly: @@ -501,6 +523,474 @@ wxImage wxImage::Scale( int width, int height ) const return image; } +wxImage wxImage::ResampleBox(int width, int height) const +{ + // This function implements a simple pre-blur/box averaging method for + // downsampling that gives reasonably smooth results To scale the image + // down we will need to gather a grid of pixels of the size of the scale + // factor in each direction and then do an averaging of the pixels. + + wxImage ret_image(width, height, false); + + const double scale_factor_x = double(M_IMGDATA->m_width) / width; + const double scale_factor_y = double(M_IMGDATA->m_height) / height; + + const int scale_factor_x_2 = (int)(scale_factor_x / 2); + const int scale_factor_y_2 = (int)(scale_factor_y / 2); + + // If we want good-looking results we need to pre-blur the image a bit first + wxImage src_image(*this); + src_image = src_image.BlurHorizontal(scale_factor_x_2); + src_image = src_image.BlurVertical(scale_factor_y_2); + + unsigned char* src_data = src_image.GetData(); + unsigned char* src_alpha = src_image.GetAlpha(); + unsigned char* dst_data = ret_image.GetData(); + unsigned char* dst_alpha = NULL; + + if ( src_alpha ) + { + ret_image.SetAlpha(); + dst_alpha = ret_image.GetAlpha(); + } + + int averaged_pixels, src_pixel_index; + double sum_r, sum_g, sum_b, sum_a; + + for ( int y = 0; y < height; y++ ) // Destination image - Y direction + { + // Source pixel in the Y direction + int src_y = (int)(y * scale_factor_y); + + for ( int x = 0; x < width; x++ ) // Destination image - X direction + { + // Source pixel in the X direction + int src_x = (int)(x * scale_factor_x); + + // Box of pixels to average + averaged_pixels = 0; + sum_r = sum_g = sum_b = sum_a = 0.0; + + for ( int j = int(src_y - scale_factor_y/2.0 + 1); + j <= int(src_y + scale_factor_y_2); + j++ ) + { + // We don't care to average pixels that don't exist (edges) + if ( j < 0 || j > M_IMGDATA->m_height ) + continue; + + for ( int i = int(src_x - scale_factor_x/2.0 + 1); + i <= src_x + scale_factor_x_2; + i++ ) + { + // Don't average edge pixels + if ( i < 0 || i > M_IMGDATA->m_width ) + continue; + + // Calculate the actual index in our source pixels + src_pixel_index = src_y * M_IMGDATA->m_width + src_x; + + sum_r += src_data[src_pixel_index * 3 + 0]; + sum_g += src_data[src_pixel_index * 3 + 1]; + sum_b += src_data[src_pixel_index * 3 + 2]; + if ( src_alpha ) + sum_a += src_alpha[src_pixel_index]; + + averaged_pixels++; + } + } + + // Calculate the average from the sum and number of averaged pixels + dst_data[0] = (unsigned char)(sum_r / averaged_pixels); + dst_data[1] = (unsigned char)(sum_g / averaged_pixels); + dst_data[2] = (unsigned char)(sum_b / averaged_pixels); + dst_data += 3; + if ( src_alpha ) + *dst_alpha++ = (unsigned char)(sum_a / averaged_pixels); + } + } + + return ret_image; +} + +// The following two local functions are for the B-spline weighting of the +// bicubic sampling algorithm +static inline double spline_cube(double value) +{ + return value <= 0.0 ? 0.0 : value * value * value; +} + +static inline double spline_weight(double value) +{ + return (spline_cube(value + 2) - + 4 * spline_cube(value + 1) + + 6 * spline_cube(value) - + 4 * spline_cube(value - 1)) / 6; +} + +// This is the bicubic resampling algorithm +wxImage wxImage::ResampleBicubic(int width, int height) const +{ + // This function implements a Bicubic B-Spline algorithm for resampling. + // This method is certainly a little slower than wxImage's default pixel + // replication method, however for most reasonably sized images not being + // upsampled too much on a fairly average CPU this difference is hardly + // noticeable and the results are far more pleasing to look at. + // + // This particular bicubic algorithm does pixel weighting according to a + // B-Spline that basically implements a Gaussian bell-like weighting + // kernel. Because of this method the results may appear a bit blurry when + // upsampling by large factors. This is basically because a slight + // gaussian blur is being performed to get the smooth look of the upsampled + // image. + + // Edge pixels: 3-4 possible solutions + // - (Wrap/tile) Wrap the image, take the color value from the opposite + // side of the image. + // - (Mirror) Duplicate edge pixels, so that pixel at coordinate (2, n), + // where n is nonpositive, will have the value of (2, 1). + // - (Ignore) Simply ignore the edge pixels and apply the kernel only to + // pixels which do have all neighbours. + // - (Clamp) Choose the nearest pixel along the border. This takes the + // border pixels and extends them out to infinity. + // + // NOTE: below the y_offset and x_offset variables are being set for edge + // pixels using the "Mirror" method mentioned above + + wxImage ret_image; + + ret_image.Create(width, height, false); + + unsigned char* src_data = M_IMGDATA->m_data; + unsigned char* src_alpha = M_IMGDATA->m_alpha; + unsigned char* dst_data = ret_image.GetData(); + unsigned char* dst_alpha = NULL; + + if ( src_alpha ) + { + ret_image.SetAlpha(); + dst_alpha = ret_image.GetAlpha(); + } + + for ( int dsty = 0; dsty < height; dsty++ ) + { + // We need to calculate the source pixel to interpolate from - Y-axis + double srcpixy = dsty * M_IMGDATA->m_height / height; + double dy = srcpixy - (int)srcpixy; + + for ( int dstx = 0; dstx < width; dstx++ ) + { + // X-axis of pixel to interpolate from + double srcpixx = dstx * M_IMGDATA->m_width / width; + double dx = srcpixx - (int)srcpixx; + + // Sums for each color channel + double sum_r = 0, sum_g = 0, sum_b = 0, sum_a = 0; + + // Here we actually determine the RGBA values for the destination pixel + for ( int k = -1; k <= 2; k++ ) + { + // Y offset + int y_offset = srcpixy + k < 0.0 + ? 0 + : srcpixy + k >= M_IMGDATA->m_height + ? M_IMGDATA->m_height - 1 + : (int)(srcpixy + k); + + // Loop across the X axis + for ( int i = -1; i <= 2; i++ ) + { + // X offset + int x_offset = srcpixx + i < 0.0 + ? 0 + : srcpixx + i >= M_IMGDATA->m_width + ? M_IMGDATA->m_width - 1 + : (int)(srcpixx + i); + + // Calculate the exact position where the source data + // should be pulled from based on the x_offset and y_offset + int src_pixel_index = y_offset*M_IMGDATA->m_width + x_offset; + + // Calculate the weight for the specified pixel according + // to the bicubic b-spline kernel we're using for + // interpolation + double + pixel_weight = spline_weight(i - dx)*spline_weight(k - dy); + + // Create a sum of all velues for each color channel + // adjusted for the pixel's calculated weight + sum_r += src_data[src_pixel_index * 3 + 0] * pixel_weight; + sum_g += src_data[src_pixel_index * 3 + 1] * pixel_weight; + sum_b += src_data[src_pixel_index * 3 + 2] * pixel_weight; + if ( src_alpha ) + sum_a += src_alpha[src_pixel_index] * pixel_weight; + } + } + + // Put the data into the destination image. The summed values are + // of double data type and are rounded here for accuracy + dst_data[0] = (unsigned char)(sum_r + 0.5); + dst_data[1] = (unsigned char)(sum_g + 0.5); + dst_data[2] = (unsigned char)(sum_b + 0.5); + dst_data += 3; + + if ( src_alpha ) + *dst_alpha++ = (unsigned char)sum_a; + } + } + + return ret_image; +} + +// Blur in the horizontal direction +wxImage wxImage::BlurHorizontal(int blurRadius) +{ + wxImage ret_image; + ret_image.Create(M_IMGDATA->m_width, M_IMGDATA->m_height, false); + + unsigned char* src_data = M_IMGDATA->m_data; + unsigned char* dst_data = ret_image.GetData(); + unsigned char* src_alpha = M_IMGDATA->m_alpha; + unsigned char* dst_alpha = NULL; + + // Check for a mask or alpha + if ( M_IMGDATA->m_hasMask ) + { + ret_image.SetMaskColour(M_IMGDATA->m_maskRed, + M_IMGDATA->m_maskGreen, + M_IMGDATA->m_maskBlue); + } + else + { + if ( src_alpha ) + { + ret_image.SetAlpha(); + dst_alpha = ret_image.GetAlpha(); + } + } + + // number of pixels we average over + const int blurArea = blurRadius*2 + 1; + + // Horizontal blurring algorithm - average all pixels in the specified blur + // radius in the X or horizontal direction + for ( int y = 0; y < M_IMGDATA->m_height; y++ ) + { + // Variables used in the blurring algorithm + long sum_r = 0, + sum_g = 0, + sum_b = 0, + sum_a = 0; + + long pixel_idx; + const unsigned char *src; + unsigned char *dst; + + // Calculate the average of all pixels in the blur radius for the first + // pixel of the row + for ( int kernel_x = -blurRadius; kernel_x <= blurRadius; kernel_x++ ) + { + // To deal with the pixels at the start of a row so it's not + // grabbing GOK values from memory at negative indices of the + // image's data or grabbing from the previous row + if ( kernel_x < 0 ) + pixel_idx = y * M_IMGDATA->m_width; + else + pixel_idx = kernel_x + y * M_IMGDATA->m_width; + + src = src_data + pixel_idx*3; + sum_r += src[0]; + sum_g += src[1]; + sum_b += src[2]; + if ( src_alpha ) + sum_a += src_alpha[pixel_idx]; + } + + dst = dst_data + y * M_IMGDATA->m_width*3; + dst[0] = (unsigned char)(sum_r / blurArea); + dst[1] = (unsigned char)(sum_g / blurArea); + dst[2] = (unsigned char)(sum_b / blurArea); + if ( src_alpha ) + dst_alpha[y * M_IMGDATA->m_width] = (unsigned char)(sum_a / blurArea); + + // Now average the values of the rest of the pixels by just moving the + // blur radius box along the row + for ( int x = 1; x < M_IMGDATA->m_width; x++ ) + { + // Take care of edge pixels on the left edge by essentially + // duplicating the edge pixel + if ( x - blurRadius - 1 < 0 ) + pixel_idx = y * M_IMGDATA->m_width; + else + pixel_idx = (x - blurRadius - 1) + y * M_IMGDATA->m_width; + + // Subtract the value of the pixel at the left side of the blur + // radius box + src = src_data + pixel_idx*3; + sum_r -= src[0]; + sum_g -= src[1]; + sum_b -= src[2]; + if ( src_alpha ) + sum_a -= src_alpha[pixel_idx]; + + // Take care of edge pixels on the right edge + if ( x + blurRadius > M_IMGDATA->m_width - 1 ) + pixel_idx = M_IMGDATA->m_width - 1 + y * M_IMGDATA->m_width; + else + pixel_idx = x + blurRadius + y * M_IMGDATA->m_width; + + // Add the value of the pixel being added to the end of our box + src = src_data + pixel_idx*3; + sum_r += src[0]; + sum_g += src[1]; + sum_b += src[2]; + if ( src_alpha ) + sum_a += src_alpha[pixel_idx]; + + // Save off the averaged data + dst = dst_data + x*3 + y*M_IMGDATA->m_width*3; + dst[0] = (unsigned char)(sum_r / blurArea); + dst[1] = (unsigned char)(sum_g / blurArea); + dst[2] = (unsigned char)(sum_b / blurArea); + if ( src_alpha ) + dst_alpha[x + y * M_IMGDATA->m_width] = (unsigned char)(sum_a / blurArea); + } + } + + return ret_image; +} + +// Blur in the vertical direction +wxImage wxImage::BlurVertical(int blurRadius) +{ + wxImage ret_image; + ret_image.Create(M_IMGDATA->m_width, M_IMGDATA->m_height, false); + + unsigned char* src_data = M_IMGDATA->m_data; + unsigned char* dst_data = ret_image.GetData(); + unsigned char* src_alpha = M_IMGDATA->m_alpha; + unsigned char* dst_alpha = NULL; + + // Check for a mask or alpha + if ( M_IMGDATA->m_hasMask ) + { + ret_image.SetMaskColour(M_IMGDATA->m_maskRed, + M_IMGDATA->m_maskGreen, + M_IMGDATA->m_maskBlue); + } + else + { + if ( src_alpha ) + { + ret_image.SetAlpha(); + dst_alpha = ret_image.GetAlpha(); + } + } + + // number of pixels we average over + const int blurArea = blurRadius*2 + 1; + + // Vertical blurring algorithm - same as horizontal but switched the + // opposite direction + for ( int x = 0; x < M_IMGDATA->m_width; x++ ) + { + // Variables used in the blurring algorithm + long sum_r = 0, + sum_g = 0, + sum_b = 0, + sum_a = 0; + + long pixel_idx; + const unsigned char *src; + unsigned char *dst; + + // Calculate the average of all pixels in our blur radius box for the + // first pixel of the column + for ( int kernel_y = -blurRadius; kernel_y <= blurRadius; kernel_y++ ) + { + // To deal with the pixels at the start of a column so it's not + // grabbing GOK values from memory at negative indices of the + // image's data or grabbing from the previous column + if ( kernel_y < 0 ) + pixel_idx = x; + else + pixel_idx = x + kernel_y * M_IMGDATA->m_width; + + src = src_data + pixel_idx*3; + sum_r += src[0]; + sum_g += src[1]; + sum_b += src[2]; + if ( src_alpha ) + sum_a += src_alpha[pixel_idx]; + } + + dst = dst_data + x*3; + dst[0] = (unsigned char)(sum_r / blurArea); + dst[1] = (unsigned char)(sum_g / blurArea); + dst[2] = (unsigned char)(sum_b / blurArea); + if ( src_alpha ) + dst_alpha[x] = (unsigned char)(sum_a / blurArea); + + // Now average the values of the rest of the pixels by just moving the + // box along the column from top to bottom + for ( int y = 1; y < M_IMGDATA->m_height; y++ ) + { + // Take care of pixels that would be beyond the top edge by + // duplicating the top edge pixel for the column + if ( y - blurRadius - 1 < 0 ) + pixel_idx = x; + else + pixel_idx = x + (y - blurRadius - 1) * M_IMGDATA->m_width; + + // Subtract the value of the pixel at the top of our blur radius box + src = src_data + pixel_idx*3; + sum_r -= src[0]; + sum_g -= src[1]; + sum_b -= src[2]; + if ( src_alpha ) + sum_a -= src_alpha[pixel_idx]; + + // Take care of the pixels that would be beyond the bottom edge of + // the image similar to the top edge + if ( y + blurRadius > M_IMGDATA->m_height - 1 ) + pixel_idx = x + (M_IMGDATA->m_height - 1) * M_IMGDATA->m_width; + else + pixel_idx = x + (blurRadius + y) * M_IMGDATA->m_width; + + // Add the value of the pixel being added to the end of our box + src = src_data + pixel_idx*3; + sum_r += src[0]; + sum_g += src[1]; + sum_b += src[2]; + if ( src_alpha ) + sum_a += src_alpha[pixel_idx]; + + // Save off the averaged data + dst = dst_data + (x + y * M_IMGDATA->m_width) * 3; + dst[0] = (unsigned char)(sum_r / blurArea); + dst[1] = (unsigned char)(sum_g / blurArea); + dst[2] = (unsigned char)(sum_b / blurArea); + if ( src_alpha ) + dst_alpha[x + y * M_IMGDATA->m_width] = (unsigned char)(sum_a / blurArea); + } + } + + return ret_image; +} + +// The new blur function +wxImage wxImage::Blur(int blurRadius) +{ + wxImage ret_image; + ret_image.Create(M_IMGDATA->m_width, M_IMGDATA->m_height, false); + + // Blur the image in each direction + ret_image = BlurHorizontal(blurRadius); + ret_image = ret_image.BlurVertical(blurRadius); + + return ret_image; +} + wxImage wxImage::Rotate90( bool clockwise ) const { wxImage image; @@ -821,8 +1311,8 @@ void wxImage::Paste( const wxImage &image, int x, int y ) { for (int i = 0; i < width; i+=3) { - if ((source_data[i] != r) && - (source_data[i+1] != g) && + if ((source_data[i] != r) || + (source_data[i+1] != g) || (source_data[i+2] != b)) { memcpy( target_data+i, source_data+i, 3 ); @@ -1000,8 +1490,8 @@ void wxImage::SetRGB( const wxRect& rect_, unsigned char r, unsigned char g, uns } else { - wxCHECK_RET( imageRect.Inside(rect.GetTopLeft()) && - imageRect.Inside(rect.GetBottomRight()), + wxCHECK_RET( imageRect.Contains(rect.GetTopLeft()) && + imageRect.Contains(rect.GetBottomRight()), wxT("invalid bounding rectangle") ); } @@ -1054,7 +1544,7 @@ unsigned char wxImage::GetBlue( int x, int y ) const return M_IMGDATA->m_data[pos+2]; } -bool wxImage::Ok() const +bool wxImage::IsOk() const { // image of 0 width or height can't be considered ok - at least because it // causes crashes in ConvertToBitmap() if we don't catch it in time @@ -1673,7 +2163,7 @@ int wxImage::GetImageCount( wxInputStream &stream, long type ) if ( !handler ) { - wxLogWarning(_("No image handler for type %d defined."), type); + wxLogWarning(_("No image handler for type %ld defined."), type); return false; } @@ -1683,7 +2173,7 @@ int wxImage::GetImageCount( wxInputStream &stream, long type ) } else { - wxLogError(_("Image file is not of type %d."), type); + wxLogError(_("Image file is not of type %ld."), type); return 0; } } @@ -1716,14 +2206,14 @@ bool wxImage::LoadFile( wxInputStream& stream, long type, int index ) if (handler == 0) { - wxLogWarning( _("No image handler for type %d defined."), type ); + wxLogWarning( _("No image handler for type %ld defined."), type ); return false; } if (stream.IsSeekable() && !handler->CanRead(stream)) { - wxLogError(_("Image file is not of type %d."), type); + wxLogError(_("Image file is not of type %ld."), type); return false; } else