Remove many unused files from //skia/ext

skia/ext/convolver.h

Index: skia/ext/convolver.h
diff --git a/skia/ext/convolver.h b/skia/ext/convolver.h
deleted file mode 100644
index 1f61f23a2ca395759822224371fed46640ab5a44..0000000000000000000000000000000000000000
--- a/skia/ext/convolver.h
+++ /dev/null
@@ -1,235 +0,0 @@
-// Copyright (c) 2012 The Chromium Authors. All rights reserved.
-// Use of this source code is governed by a BSD-style license that can be
-// found in the LICENSE file.
-
-#ifndef SKIA_EXT_CONVOLVER_H_
-#define SKIA_EXT_CONVOLVER_H_
-
-#include <cmath>
-#include <vector>
-
-#include "base/basictypes.h"
-#include "third_party/skia/include/core/SkSize.h"
-#include "third_party/skia/include/core/SkTypes.h"
-
-// We can build SSE2 optimized versions for all x86 CPUs
-// except when building for the IOS emulator.
-#if defined(ARCH_CPU_X86_FAMILY) && !defined(OS_IOS)
-#define SIMD_SSE2 1
-#define SIMD_PADDING 8  // 8 * int16
-#endif
-
-#if defined (ARCH_CPU_MIPS_FAMILY) && \
-    defined(__mips_dsp) && (__mips_dsp_rev >= 2)
-#define SIMD_MIPS_DSPR2 1
-#endif
-// avoid confusion with Mac OS X's math library (Carbon)
-#if defined(__APPLE__)
-#undef FloatToFixed
-#undef FixedToFloat
-#endif
-
-namespace skia {
-
-// Represents a filter in one dimension. Each output pixel has one entry in this
-// object for the filter values contributing to it. You build up the filter
-// list by calling AddFilter for each output pixel (in order).
-//
-// We do 2-dimensional convolution by first convolving each row by one
-// ConvolutionFilter1D, then convolving each column by another one.
-//
-// Entries are stored in fixed point, shifted left by kShiftBits.
-class ConvolutionFilter1D {
- public:
-  typedef short Fixed;
-
-  // The number of bits that fixed point values are shifted by.
-  enum { kShiftBits = 14 };
-
-  SK_API ConvolutionFilter1D();
-  SK_API ~ConvolutionFilter1D();
-
-  // Convert between floating point and our fixed point representation.
-  static Fixed FloatToFixed(float f) {
-    return static_cast<Fixed>(f * (1 << kShiftBits));
-  }
-  static unsigned char FixedToChar(Fixed x) {
-    return static_cast<unsigned char>(x >> kShiftBits);
-  }
-  static float FixedToFloat(Fixed x) {
-    // The cast relies on Fixed being a short, implying that on
-    // the platforms we care about all (16) bits will fit into
-    // the mantissa of a (32-bit) float.
-    static_assert(sizeof(Fixed) == 2,
-                  "fixed type should fit in float mantissa");
-    float raw = static_cast<float>(x);
-    return ldexpf(raw, -kShiftBits);
-  }
-
-  // Returns the maximum pixel span of a filter.
-  int max_filter() const { return max_filter_; }
-
-  // Returns the number of filters in this filter. This is the dimension of the
-  // output image.
-  int num_values() const { return static_cast<int>(filters_.size()); }
-
-  // Appends the given list of scaling values for generating a given output
-  // pixel. |filter_offset| is the distance from the edge of the image to where
-  // the scaling factors start. The scaling factors apply to the source pixels
-  // starting from this position, and going for the next |filter_length| pixels.
-  //
-  // You will probably want to make sure your input is normalized (that is,
-  // all entries in |filter_values| sub to one) to prevent affecting the overall
-  // brighness of the image.
-  //
-  // The filter_length must be > 0.
-  //
-  // This version will automatically convert your input to fixed point.
-  SK_API void AddFilter(int filter_offset,
-                        const float* filter_values,
-                        int filter_length);
-
-  // Same as the above version, but the input is already fixed point.
-  void AddFilter(int filter_offset,
-                 const Fixed* filter_values,
-                 int filter_length);
-
-  // Retrieves a filter for the given |value_offset|, a position in the output
-  // image in the direction we're convolving. The offset and length of the
-  // filter values are put into the corresponding out arguments (see AddFilter
-  // above for what these mean), and a pointer to the first scaling factor is
-  // returned. There will be |filter_length| values in this array.
-  inline const Fixed* FilterForValue(int value_offset,
-                                     int* filter_offset,
-                                     int* filter_length) const {
-    const FilterInstance& filter = filters_[value_offset];
-    *filter_offset = filter.offset;
-    *filter_length = filter.trimmed_length;
-    if (filter.trimmed_length == 0) {
-      return NULL;
-    }
-    return &filter_values_[filter.data_location];
-  }
-
-  // Retrieves the filter for the offset 0, presumed to be the one and only.
-  // The offset and length of the filter values are put into the corresponding
-  // out arguments (see AddFilter). Note that |filter_legth| and
-  // |specified_filter_length| may be different if leading/trailing zeros of the
-  // original floating point form were clipped.
-  // There will be |filter_length| values in the return array.
-  // Returns NULL if the filter is 0-length (for instance when all floating
-  // point values passed to AddFilter were clipped to 0).
-  SK_API const Fixed* GetSingleFilter(int* specified_filter_length,
-                                      int* filter_offset,
-                                      int* filter_length) const;
-
-  inline void PaddingForSIMD() {
-    // Padding |padding_count| of more dummy coefficients after the coefficients
-    // of last filter to prevent SIMD instructions which load 8 or 16 bytes
-    // together to access invalid memory areas. We are not trying to align the
-    // coefficients right now due to the opaqueness of <vector> implementation.
-    // This has to be done after all |AddFilter| calls.
-#ifdef SIMD_PADDING
-    for (int i = 0; i < SIMD_PADDING; ++i)
-      filter_values_.push_back(static_cast<Fixed>(0));
-#endif
-  }
-
- private:
-  struct FilterInstance {
-    // Offset within filter_values for this instance of the filter.
-    int data_location;
-
-    // Distance from the left of the filter to the center. IN PIXELS
-    int offset;
-
-    // Number of values in this filter instance.
-    int trimmed_length;
-
-    // Filter length as specified. Note that this may be different from
-    // 'trimmed_length' if leading/trailing zeros of the original floating
-    // point form were clipped differently on each tail.
-    int length;
-  };
-
-  // Stores the information for each filter added to this class.
-  std::vector<FilterInstance> filters_;
-
-  // We store all the filter values in this flat list, indexed by
-  // |FilterInstance.data_location| to avoid the mallocs required for storing
-  // each one separately.
-  std::vector<Fixed> filter_values_;
-
-  // The maximum size of any filter we've added.
-  int max_filter_;
-};
-
-// Does a two-dimensional convolution on the given source image.
-//
-// It is assumed the source pixel offsets referenced in the input filters
-// reference only valid pixels, so the source image size is not required. Each
-// row of the source image starts |source_byte_row_stride| after the previous
-// one (this allows you to have rows with some padding at the end).
-//
-// The result will be put into the given output buffer. The destination image
-// size will be xfilter.num_values() * yfilter.num_values() pixels. It will be
-// in rows of exactly xfilter.num_values() * 4 bytes.
-//
-// |source_has_alpha| is a hint that allows us to avoid doing computations on
-// the alpha channel if the image is opaque. If you don't know, set this to
-// true and it will work properly, but setting this to false will be a few
-// percent faster if you know the image is opaque.
-//
-// The layout in memory is assumed to be 4-bytes per pixel in B-G-R-A order
-// (this is ARGB when loaded into 32-bit words on a little-endian machine).
-SK_API void BGRAConvolve2D(const unsigned char* source_data,
-                           int source_byte_row_stride,
-                           bool source_has_alpha,
-                           const ConvolutionFilter1D& xfilter,
-                           const ConvolutionFilter1D& yfilter,
-                           int output_byte_row_stride,
-                           unsigned char* output,
-                           bool use_simd_if_possible);
-
-// Does a 1D convolution of the given source image along the X dimension on
-// a single channel of the bitmap.
-//
-// The function uses the same convolution kernel for each pixel. That kernel
-// must be added to |filter| at offset 0. This is a most straightforward
-// implementation of convolution, intended chiefly for development purposes.
-SK_API void SingleChannelConvolveX1D(const unsigned char* source_data,
-                                     int source_byte_row_stride,
-                                     int input_channel_index,
-                                     int input_channel_count,
-                                     const ConvolutionFilter1D& filter,
-                                     const SkISize& image_size,
-                                     unsigned char* output,
-                                     int output_byte_row_stride,
-                                     int output_channel_index,
-                                     int output_channel_count,
-                                     bool absolute_values);
-
-// Does a 1D convolution of the given source image along the Y dimension on
-// a single channel of the bitmap.
-SK_API void SingleChannelConvolveY1D(const unsigned char* source_data,
-                                     int source_byte_row_stride,
-                                     int input_channel_index,
-                                     int input_channel_count,
-                                     const ConvolutionFilter1D& filter,
-                                     const SkISize& image_size,
-                                     unsigned char* output,
-                                     int output_byte_row_stride,
-                                     int output_channel_index,
-                                     int output_channel_count,
-                                     bool absolute_values);
-
-// Set up the |filter| instance with a gaussian kernel. |kernel_sigma| is the
-// parameter of gaussian. If |derivative| is true, the kernel will be that of
-// the first derivative. Intended for use with the two routines above.
-SK_API void SetUpGaussianConvolutionKernel(ConvolutionFilter1D* filter,
-                                           float kernel_sigma,
-                                           bool derivative);
-
-}  // namespace skia
-
-#endif  // SKIA_EXT_CONVOLVER_H_