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  /frameworks/base/libs/hwui/
FrameBuilder.h 44 * reorder and merge each op as it is resolved for drawing efficiency. Each layer of content (either
  /hardware/libhardware/include/hardware/
hwcomposer_defs.h 282 * possibly with lower fidelity than normal but greater efficiency. */
  /libcore/ojluni/src/main/java/java/io/
OutputStreamWriter.java 47 * <p> For top efficiency, consider wrapping an OutputStreamWriter within a
  /packages/apps/Camera2/src/com/android/camera/processing/imagebackend/
TaskConvertImageToRGBPreview.java 204 * transient on the screen, the implementation is geared toward efficiency
213 * edges anyway, it may be an acceptable trade-off for run-time efficiency on an
520 * transient on the screen, the implementation is geared toward efficiency
529 * edges anyway, it may be an acceptable trade-off for run-time efficiency on an
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  /packages/apps/Contacts/src/com/android/contacts/util/
ImplicitIntentsUtil.java 218 // startActivity(). This is only needed for efficiency.
  /packages/apps/Gallery2/src/com/android/gallery3d/data/
LocalSource.java 199 // We don't use mMatcher for efficiency's reason.
  /prebuilts/clang/host/darwin-x86/clang-4053586/prebuilt_include/llvm/include/llvm/CodeGen/
TargetSchedule.h 31 // For efficiency, hold a copy of the statically defined MCSchedModel for this
  /prebuilts/clang/host/darwin-x86/clang-4393122/include/llvm/CodeGen/
TargetSchedule.h 32 // For efficiency, hold a copy of the statically defined MCSchedModel for this
  /prebuilts/clang/host/darwin-x86/clang-4479392/include/llvm/CodeGen/
TargetSchedule.h 32 // For efficiency, hold a copy of the statically defined MCSchedModel for this
  /prebuilts/clang/host/darwin-x86/clang-4579689/include/llvm/CodeGen/
TargetSchedule.h 32 // For efficiency, hold a copy of the statically defined MCSchedModel for this
  /prebuilts/clang/host/darwin-x86/clang-4630689/include/llvm/CodeGen/
TargetSchedule.h 32 // For efficiency, hold a copy of the statically defined MCSchedModel for this
  /prebuilts/clang/host/darwin-x86/clang-4639204/include/llvm/CodeGen/
TargetSchedule.h 32 // For efficiency, hold a copy of the statically defined MCSchedModel for this
  /prebuilts/clang/host/darwin-x86/clang-4691093/include/llvm/CodeGen/
TargetSchedule.h 32 // For efficiency, hold a copy of the statically defined MCSchedModel for this
  /prebuilts/clang/host/linux-x86/clang-4053586/prebuilt_include/llvm/include/llvm/CodeGen/
TargetSchedule.h 31 // For efficiency, hold a copy of the statically defined MCSchedModel for this
  /prebuilts/clang/host/linux-x86/clang-4393122/include/llvm/CodeGen/
TargetSchedule.h 32 // For efficiency, hold a copy of the statically defined MCSchedModel for this
  /prebuilts/clang/host/linux-x86/clang-4479392/include/llvm/CodeGen/
TargetSchedule.h 32 // For efficiency, hold a copy of the statically defined MCSchedModel for this
  /prebuilts/clang/host/linux-x86/clang-4579689/include/llvm/CodeGen/
TargetSchedule.h 32 // For efficiency, hold a copy of the statically defined MCSchedModel for this
  /prebuilts/clang/host/linux-x86/clang-4630689/include/llvm/CodeGen/
TargetSchedule.h 32 // For efficiency, hold a copy of the statically defined MCSchedModel for this
  /prebuilts/clang/host/linux-x86/clang-4639204/include/llvm/CodeGen/
TargetSchedule.h 32 // For efficiency, hold a copy of the statically defined MCSchedModel for this
  /prebuilts/clang/host/linux-x86/clang-4691093/include/llvm/CodeGen/
TargetSchedule.h 32 // For efficiency, hold a copy of the statically defined MCSchedModel for this
  /prebuilts/gcc/linux-x86/host/x86_64-w64-mingw32-4.8/share/info/
gmp.info 52 Node: Efficiency64864
  /prebuilts/ndk/r16/sources/third_party/shaderc/third_party/glslang/glslang/MachineIndependent/
PoolAlloc.cpp 279 // Do the allocation, most likely case first, for efficiency.
  /prebuilts/tools/common/proguard/proguard4.7/docs/
results.html 27 processed code, with some potential increase in efficiency as an added bonus.
  /system/media/audio_utils/
fixedfft.cpp 19 * lower ones are imaginary part. Few compromises are made between efficiency,
  /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/
input_pipeline.py 188 efficiency; the size of these batches is an implementation detail internal
195 arbitrary batch dimension (for efficiency) as their first dimension.
238 for efficiency.
292 number of records to transfer in a single chunk (for efficiency). The
449 efficiency). The actual number transferred at one time may be more or
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