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mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/util/UIUtils.java
UIUtils.getScreenWidth
public static int getScreenWidth(Context context) { DisplayMetrics metrics = context.getResources().getDisplayMetrics(); return metrics.widthPixels; }
java
public static int getScreenWidth(Context context) { DisplayMetrics metrics = context.getResources().getDisplayMetrics(); return metrics.widthPixels; }
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Returns the screen width in pixels @param context is the context to get the resources @return the screen width in pixels
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/util/UIUtils.java#L334-L337
train
mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/util/UIUtils.java
UIUtils.getScreenHeight
public static int getScreenHeight(Context context) { DisplayMetrics metrics = context.getResources().getDisplayMetrics(); return metrics.heightPixels; }
java
public static int getScreenHeight(Context context) { DisplayMetrics metrics = context.getResources().getDisplayMetrics(); return metrics.heightPixels; }
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Returns the screen height in pixels @param context is the context to get the resources @return the screen height in pixels
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/util/UIUtils.java#L346-L349
train
mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/MaterializeBuilder.java
MaterializeBuilder.withActivity
public MaterializeBuilder withActivity(Activity activity) { this.mRootView = (ViewGroup) activity.findViewById(android.R.id.content); this.mActivity = activity; return this; }
java
public MaterializeBuilder withActivity(Activity activity) { this.mRootView = (ViewGroup) activity.findViewById(android.R.id.content); this.mActivity = activity; return this; }
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Pass the activity you use the drawer in ;) This is required if you want to set any values by resource @param activity @return
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/MaterializeBuilder.java#L53-L57
train
mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/MaterializeBuilder.java
MaterializeBuilder.withContainer
public MaterializeBuilder withContainer(ViewGroup container, ViewGroup.LayoutParams layoutParams) { this.mContainer = container; this.mContainerLayoutParams = layoutParams; return this; }
java
public MaterializeBuilder withContainer(ViewGroup container, ViewGroup.LayoutParams layoutParams) { this.mContainer = container; this.mContainerLayoutParams = layoutParams; return this; }
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set the layout which will host the ScrimInsetsFrameLayout and its layoutParams @param container @param layoutParams @return
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/MaterializeBuilder.java#L314-L318
train
mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/Materialize.java
Materialize.setFullscreen
public void setFullscreen(boolean fullscreen) { if (mBuilder.mScrimInsetsLayout != null) { mBuilder.mScrimInsetsLayout.setTintStatusBar(!fullscreen); mBuilder.mScrimInsetsLayout.setTintNavigationBar(!fullscreen); } }
java
public void setFullscreen(boolean fullscreen) { if (mBuilder.mScrimInsetsLayout != null) { mBuilder.mScrimInsetsLayout.setTintStatusBar(!fullscreen); mBuilder.mScrimInsetsLayout.setTintNavigationBar(!fullscreen); } }
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set the insetsFrameLayout to display the content in fullscreen under the statusBar and navigationBar @param fullscreen
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/Materialize.java#L31-L36
train
mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/Materialize.java
Materialize.setStatusBarColor
public void setStatusBarColor(int statusBarColor) { if (mBuilder.mScrimInsetsLayout != null) { mBuilder.mScrimInsetsLayout.setInsetForeground(statusBarColor); mBuilder.mScrimInsetsLayout.getView().invalidate(); } }
java
public void setStatusBarColor(int statusBarColor) { if (mBuilder.mScrimInsetsLayout != null) { mBuilder.mScrimInsetsLayout.setInsetForeground(statusBarColor); mBuilder.mScrimInsetsLayout.getView().invalidate(); } }
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Set the color for the statusBar @param statusBarColor
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/Materialize.java#L65-L70
train
mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/Materialize.java
Materialize.keyboardSupportEnabled
public void keyboardSupportEnabled(Activity activity, boolean enable) { if (getContent() != null && getContent().getChildCount() > 0) { if (mKeyboardUtil == null) { mKeyboardUtil = new KeyboardUtil(activity, getContent().getChildAt(0)); mKeyboardUtil.disable(); } if (enable) { mKeyboardUtil.enable(); } else { mKeyboardUtil.disable(); } } }
java
public void keyboardSupportEnabled(Activity activity, boolean enable) { if (getContent() != null && getContent().getChildCount() > 0) { if (mKeyboardUtil == null) { mKeyboardUtil = new KeyboardUtil(activity, getContent().getChildAt(0)); mKeyboardUtil.disable(); } if (enable) { mKeyboardUtil.enable(); } else { mKeyboardUtil.disable(); } } }
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a helper method to enable the keyboardUtil for a specific activity or disable it. note this will cause some frame drops because of the listener. @param activity @param enable
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/Materialize.java#L99-L112
train
mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/holder/ColorHolder.java
ColorHolder.applyTo
public void applyTo(Context ctx, GradientDrawable drawable) { if (mColorInt != 0) { drawable.setColor(mColorInt); } else if (mColorRes != -1) { drawable.setColor(ContextCompat.getColor(ctx, mColorRes)); } }
java
public void applyTo(Context ctx, GradientDrawable drawable) { if (mColorInt != 0) { drawable.setColor(mColorInt); } else if (mColorRes != -1) { drawable.setColor(ContextCompat.getColor(ctx, mColorRes)); } }
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set the textColor of the ColorHolder to an drawable @param ctx @param drawable
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/holder/ColorHolder.java#L61-L67
train
mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/holder/ColorHolder.java
ColorHolder.applyToBackground
public void applyToBackground(View view) { if (mColorInt != 0) { view.setBackgroundColor(mColorInt); } else if (mColorRes != -1) { view.setBackgroundResource(mColorRes); } }
java
public void applyToBackground(View view) { if (mColorInt != 0) { view.setBackgroundColor(mColorInt); } else if (mColorRes != -1) { view.setBackgroundResource(mColorRes); } }
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set the textColor of the ColorHolder to a view @param view
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/holder/ColorHolder.java#L75-L81
train
mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/holder/ColorHolder.java
ColorHolder.applyToOr
public void applyToOr(TextView textView, ColorStateList colorDefault) { if (mColorInt != 0) { textView.setTextColor(mColorInt); } else if (mColorRes != -1) { textView.setTextColor(ContextCompat.getColor(textView.getContext(), mColorRes)); } else if (colorDefault != null) { textView.setTextColor(colorDefault); } }
java
public void applyToOr(TextView textView, ColorStateList colorDefault) { if (mColorInt != 0) { textView.setTextColor(mColorInt); } else if (mColorRes != -1) { textView.setTextColor(ContextCompat.getColor(textView.getContext(), mColorRes)); } else if (colorDefault != null) { textView.setTextColor(colorDefault); } }
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a small helper to set the text color to a textView null save @param textView @param colorDefault
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/holder/ColorHolder.java#L89-L97
train
mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/holder/ColorHolder.java
ColorHolder.color
public int color(Context ctx) { if (mColorInt == 0 && mColorRes != -1) { mColorInt = ContextCompat.getColor(ctx, mColorRes); } return mColorInt; }
java
public int color(Context ctx) { if (mColorInt == 0 && mColorRes != -1) { mColorInt = ContextCompat.getColor(ctx, mColorRes); } return mColorInt; }
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a small helper to get the color from the colorHolder @param ctx @return
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/holder/ColorHolder.java#L123-L128
train
mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/holder/ColorHolder.java
ColorHolder.color
public static int color(ColorHolder colorHolder, Context ctx) { if (colorHolder == null) { return 0; } else { return colorHolder.color(ctx); } }
java
public static int color(ColorHolder colorHolder, Context ctx) { if (colorHolder == null) { return 0; } else { return colorHolder.color(ctx); } }
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a small static helper class to get the color from the colorHolder @param colorHolder @param ctx @return
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/holder/ColorHolder.java#L154-L160
train
mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/holder/ColorHolder.java
ColorHolder.applyToOr
public static void applyToOr(ColorHolder colorHolder, TextView textView, ColorStateList colorDefault) { if (colorHolder != null && textView != null) { colorHolder.applyToOr(textView, colorDefault); } else if (textView != null) { textView.setTextColor(colorDefault); } }
java
public static void applyToOr(ColorHolder colorHolder, TextView textView, ColorStateList colorDefault) { if (colorHolder != null && textView != null) { colorHolder.applyToOr(textView, colorDefault); } else if (textView != null) { textView.setTextColor(colorDefault); } }
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a small static helper to set the text color to a textView null save @param colorHolder @param textView @param colorDefault
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/holder/ColorHolder.java#L169-L175
train
mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/holder/ColorHolder.java
ColorHolder.applyToOrTransparent
public static void applyToOrTransparent(ColorHolder colorHolder, Context ctx, GradientDrawable gradientDrawable) { if (colorHolder != null && gradientDrawable != null) { colorHolder.applyTo(ctx, gradientDrawable); } else if (gradientDrawable != null) { gradientDrawable.setColor(Color.TRANSPARENT); } }
java
public static void applyToOrTransparent(ColorHolder colorHolder, Context ctx, GradientDrawable gradientDrawable) { if (colorHolder != null && gradientDrawable != null) { colorHolder.applyTo(ctx, gradientDrawable); } else if (gradientDrawable != null) { gradientDrawable.setColor(Color.TRANSPARENT); } }
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a small static helper to set the color to a GradientDrawable null save @param colorHolder @param ctx @param gradientDrawable
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/holder/ColorHolder.java#L184-L190
train
mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/holder/ImageHolder.java
ImageHolder.applyTo
public static boolean applyTo(ImageHolder imageHolder, ImageView imageView, String tag) { if (imageHolder != null && imageView != null) { return imageHolder.applyTo(imageView, tag); } return false; }
java
public static boolean applyTo(ImageHolder imageHolder, ImageView imageView, String tag) { if (imageHolder != null && imageView != null) { return imageHolder.applyTo(imageView, tag); } return false; }
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a small static helper to set the image from the imageHolder nullSave to the imageView @param imageHolder @param imageView @param tag used to identify imageViews and define different placeholders @return true if an image was set
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/holder/ImageHolder.java#L170-L175
train
mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/holder/ImageHolder.java
ImageHolder.decideIcon
public static Drawable decideIcon(ImageHolder imageHolder, Context ctx, int iconColor, boolean tint) { if (imageHolder == null) { return null; } else { return imageHolder.decideIcon(ctx, iconColor, tint); } }
java
public static Drawable decideIcon(ImageHolder imageHolder, Context ctx, int iconColor, boolean tint) { if (imageHolder == null) { return null; } else { return imageHolder.decideIcon(ctx, iconColor, tint); } }
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a small static helper which catches nulls for us @param imageHolder @param ctx @param iconColor @param tint @return
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/holder/ImageHolder.java#L243-L249
train
mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/holder/ImageHolder.java
ImageHolder.applyDecidedIconOrSetGone
public static void applyDecidedIconOrSetGone(ImageHolder imageHolder, ImageView imageView, int iconColor, boolean tint) { if (imageHolder != null && imageView != null) { Drawable drawable = ImageHolder.decideIcon(imageHolder, imageView.getContext(), iconColor, tint); if (drawable != null) { imageView.setImageDrawable(drawable); imageView.setVisibility(View.VISIBLE); } else if (imageHolder.getBitmap() != null) { imageView.setImageBitmap(imageHolder.getBitmap()); imageView.setVisibility(View.VISIBLE); } else { imageView.setVisibility(View.GONE); } } else if (imageView != null) { imageView.setVisibility(View.GONE); } }
java
public static void applyDecidedIconOrSetGone(ImageHolder imageHolder, ImageView imageView, int iconColor, boolean tint) { if (imageHolder != null && imageView != null) { Drawable drawable = ImageHolder.decideIcon(imageHolder, imageView.getContext(), iconColor, tint); if (drawable != null) { imageView.setImageDrawable(drawable); imageView.setVisibility(View.VISIBLE); } else if (imageHolder.getBitmap() != null) { imageView.setImageBitmap(imageHolder.getBitmap()); imageView.setVisibility(View.VISIBLE); } else { imageView.setVisibility(View.GONE); } } else if (imageView != null) { imageView.setVisibility(View.GONE); } }
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decides which icon to apply or hide this view @param imageHolder @param imageView @param iconColor @param tint
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/holder/ImageHolder.java#L259-L274
train
mikepenz/Materialize
library/src/main/java/com/mikepenz/materialize/holder/ImageHolder.java
ImageHolder.applyMultiIconTo
public static void applyMultiIconTo(Drawable icon, int iconColor, Drawable selectedIcon, int selectedIconColor, boolean tinted, ImageView imageView) { //if we have an icon then we want to set it if (icon != null) { //if we got a different color for the selectedIcon we need a StateList if (selectedIcon != null) { if (tinted) { imageView.setImageDrawable(new PressedEffectStateListDrawable(icon, selectedIcon, iconColor, selectedIconColor)); } else { imageView.setImageDrawable(UIUtils.getIconStateList(icon, selectedIcon)); } } else if (tinted) { imageView.setImageDrawable(new PressedEffectStateListDrawable(icon, iconColor, selectedIconColor)); } else { imageView.setImageDrawable(icon); } //make sure we display the icon imageView.setVisibility(View.VISIBLE); } else { //hide the icon imageView.setVisibility(View.GONE); } }
java
public static void applyMultiIconTo(Drawable icon, int iconColor, Drawable selectedIcon, int selectedIconColor, boolean tinted, ImageView imageView) { //if we have an icon then we want to set it if (icon != null) { //if we got a different color for the selectedIcon we need a StateList if (selectedIcon != null) { if (tinted) { imageView.setImageDrawable(new PressedEffectStateListDrawable(icon, selectedIcon, iconColor, selectedIconColor)); } else { imageView.setImageDrawable(UIUtils.getIconStateList(icon, selectedIcon)); } } else if (tinted) { imageView.setImageDrawable(new PressedEffectStateListDrawable(icon, iconColor, selectedIconColor)); } else { imageView.setImageDrawable(icon); } //make sure we display the icon imageView.setVisibility(View.VISIBLE); } else { //hide the icon imageView.setVisibility(View.GONE); } }
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a small static helper to set a multi state drawable on a view @param icon @param iconColor @param selectedIcon @param selectedIconColor @param tinted @param imageView
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2612c10c7570191a78d57f23620e945d61370e3d
https://github.com/mikepenz/Materialize/blob/2612c10c7570191a78d57f23620e945d61370e3d/library/src/main/java/com/mikepenz/materialize/holder/ImageHolder.java#L286-L307
train
blackfizz/EazeGraph
EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/PieChart.java
PieChart.setHighlightStrength
public void setHighlightStrength(float _highlightStrength) { mHighlightStrength = _highlightStrength; for (PieModel model : mPieData) { highlightSlice(model); } invalidateGlobal(); }
java
public void setHighlightStrength(float _highlightStrength) { mHighlightStrength = _highlightStrength; for (PieModel model : mPieData) { highlightSlice(model); } invalidateGlobal(); }
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Sets the highlight strength for the InnerPaddingOutline. @param _highlightStrength The highlighting value for the outline.
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ce5e68ecc70e154f83bbb2fcce1a970db125c1e6
https://github.com/blackfizz/EazeGraph/blob/ce5e68ecc70e154f83bbb2fcce1a970db125c1e6/EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/PieChart.java#L256-L262
train
blackfizz/EazeGraph
EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/PieChart.java
PieChart.addPieSlice
public void addPieSlice(PieModel _Slice) { highlightSlice(_Slice); mPieData.add(_Slice); mTotalValue += _Slice.getValue(); onDataChanged(); }
java
public void addPieSlice(PieModel _Slice) { highlightSlice(_Slice); mPieData.add(_Slice); mTotalValue += _Slice.getValue(); onDataChanged(); }
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Adds a new Pie Slice to the PieChart. After inserting and calculation of the highlighting color a complete recalculation is initiated. @param _Slice The newly added PieSlice.
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ce5e68ecc70e154f83bbb2fcce1a970db125c1e6
https://github.com/blackfizz/EazeGraph/blob/ce5e68ecc70e154f83bbb2fcce1a970db125c1e6/EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/PieChart.java#L499-L504
train
blackfizz/EazeGraph
EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/PieChart.java
PieChart.onDraw
@Override protected void onDraw(Canvas canvas) { super.onDraw(canvas); // If the API level is less than 11, we can't rely on the view animation system to // do the scrolling animation. Need to tick it here and call postInvalidate() until the scrolling is done. if (Build.VERSION.SDK_INT < 11) { tickScrollAnimation(); if (!mScroller.isFinished()) { mGraph.postInvalidate(); } } }
java
@Override protected void onDraw(Canvas canvas) { super.onDraw(canvas); // If the API level is less than 11, we can't rely on the view animation system to // do the scrolling animation. Need to tick it here and call postInvalidate() until the scrolling is done. if (Build.VERSION.SDK_INT < 11) { tickScrollAnimation(); if (!mScroller.isFinished()) { mGraph.postInvalidate(); } } }
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Implement this to do your drawing. @param canvas the canvas on which the background will be drawn
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ce5e68ecc70e154f83bbb2fcce1a970db125c1e6
https://github.com/blackfizz/EazeGraph/blob/ce5e68ecc70e154f83bbb2fcce1a970db125c1e6/EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/PieChart.java#L559-L571
train
blackfizz/EazeGraph
EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/PieChart.java
PieChart.onDataChanged
@Override protected void onDataChanged() { super.onDataChanged(); int currentAngle = 0; int index = 0; int size = mPieData.size(); for (PieModel model : mPieData) { int endAngle = (int) (currentAngle + model.getValue() * 360.f / mTotalValue); if(index == size-1) { endAngle = 360; } model.setStartAngle(currentAngle); model.setEndAngle(endAngle); currentAngle = model.getEndAngle(); index++; } calcCurrentItem(); onScrollFinished(); }
java
@Override protected void onDataChanged() { super.onDataChanged(); int currentAngle = 0; int index = 0; int size = mPieData.size(); for (PieModel model : mPieData) { int endAngle = (int) (currentAngle + model.getValue() * 360.f / mTotalValue); if(index == size-1) { endAngle = 360; } model.setStartAngle(currentAngle); model.setEndAngle(endAngle); currentAngle = model.getEndAngle(); index++; } calcCurrentItem(); onScrollFinished(); }
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Should be called after new data is inserted. Will be automatically called, when the view dimensions has changed. Calculates the start- and end-angles for every PieSlice.
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ce5e68ecc70e154f83bbb2fcce1a970db125c1e6
https://github.com/blackfizz/EazeGraph/blob/ce5e68ecc70e154f83bbb2fcce1a970db125c1e6/EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/PieChart.java#L717-L738
train
blackfizz/EazeGraph
EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/PieChart.java
PieChart.highlightSlice
private void highlightSlice(PieModel _Slice) { int color = _Slice.getColor(); _Slice.setHighlightedColor(Color.argb( 0xff, Math.min((int) (mHighlightStrength * (float) Color.red(color)), 0xff), Math.min((int) (mHighlightStrength * (float) Color.green(color)), 0xff), Math.min((int) (mHighlightStrength * (float) Color.blue(color)), 0xff) )); }
java
private void highlightSlice(PieModel _Slice) { int color = _Slice.getColor(); _Slice.setHighlightedColor(Color.argb( 0xff, Math.min((int) (mHighlightStrength * (float) Color.red(color)), 0xff), Math.min((int) (mHighlightStrength * (float) Color.green(color)), 0xff), Math.min((int) (mHighlightStrength * (float) Color.blue(color)), 0xff) )); }
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Calculate the highlight color. Saturate at 0xff to make sure that high values don't result in aliasing. @param _Slice The Slice which will be highlighted.
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ce5e68ecc70e154f83bbb2fcce1a970db125c1e6
https://github.com/blackfizz/EazeGraph/blob/ce5e68ecc70e154f83bbb2fcce1a970db125c1e6/EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/PieChart.java#L746-L755
train
blackfizz/EazeGraph
EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/PieChart.java
PieChart.calcCurrentItem
private void calcCurrentItem() { int pointerAngle; // calculate the correct pointer angle, depending on clockwise drawing or not if(mOpenClockwise) { pointerAngle = (mIndicatorAngle + 360 - mPieRotation) % 360; } else { pointerAngle = (mIndicatorAngle + 180 + mPieRotation) % 360; } for (int i = 0; i < mPieData.size(); ++i) { PieModel model = mPieData.get(i); if (model.getStartAngle() <= pointerAngle && pointerAngle <= model.getEndAngle()) { if (i != mCurrentItem) { setCurrentItem(i, false); } break; } } }
java
private void calcCurrentItem() { int pointerAngle; // calculate the correct pointer angle, depending on clockwise drawing or not if(mOpenClockwise) { pointerAngle = (mIndicatorAngle + 360 - mPieRotation) % 360; } else { pointerAngle = (mIndicatorAngle + 180 + mPieRotation) % 360; } for (int i = 0; i < mPieData.size(); ++i) { PieModel model = mPieData.get(i); if (model.getStartAngle() <= pointerAngle && pointerAngle <= model.getEndAngle()) { if (i != mCurrentItem) { setCurrentItem(i, false); } break; } } }
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Calculate which pie slice is under the pointer, and set the current item field accordingly.
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ce5e68ecc70e154f83bbb2fcce1a970db125c1e6
https://github.com/blackfizz/EazeGraph/blob/ce5e68ecc70e154f83bbb2fcce1a970db125c1e6/EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/PieChart.java#L761-L781
train
blackfizz/EazeGraph
EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/PieChart.java
PieChart.centerOnCurrentItem
private void centerOnCurrentItem() { if(!mPieData.isEmpty()) { PieModel current = mPieData.get(getCurrentItem()); int targetAngle; if(mOpenClockwise) { targetAngle = (mIndicatorAngle - current.getStartAngle()) - ((current.getEndAngle() - current.getStartAngle()) / 2); if (targetAngle < 0 && mPieRotation > 0) targetAngle += 360; } else { targetAngle = current.getStartAngle() + (current.getEndAngle() - current.getStartAngle()) / 2; targetAngle += mIndicatorAngle; if (targetAngle > 270 && mPieRotation < 90) targetAngle -= 360; } mAutoCenterAnimator.setIntValues(targetAngle); mAutoCenterAnimator.setDuration(AUTOCENTER_ANIM_DURATION).start(); } }
java
private void centerOnCurrentItem() { if(!mPieData.isEmpty()) { PieModel current = mPieData.get(getCurrentItem()); int targetAngle; if(mOpenClockwise) { targetAngle = (mIndicatorAngle - current.getStartAngle()) - ((current.getEndAngle() - current.getStartAngle()) / 2); if (targetAngle < 0 && mPieRotation > 0) targetAngle += 360; } else { targetAngle = current.getStartAngle() + (current.getEndAngle() - current.getStartAngle()) / 2; targetAngle += mIndicatorAngle; if (targetAngle > 270 && mPieRotation < 90) targetAngle -= 360; } mAutoCenterAnimator.setIntValues(targetAngle); mAutoCenterAnimator.setDuration(AUTOCENTER_ANIM_DURATION).start(); } }
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Kicks off an animation that will result in the pointer being centered in the pie slice of the currently selected item.
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ce5e68ecc70e154f83bbb2fcce1a970db125c1e6
https://github.com/blackfizz/EazeGraph/blob/ce5e68ecc70e154f83bbb2fcce1a970db125c1e6/EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/PieChart.java#L819-L838
train
blackfizz/EazeGraph
EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/ValueLineChart.java
ValueLineChart.onLegendDataChanged
protected void onLegendDataChanged() { int legendCount = mLegendList.size(); float margin = (mGraphWidth / legendCount); float currentOffset = 0; for (LegendModel model : mLegendList) { model.setLegendBounds(new RectF(currentOffset, 0, currentOffset + margin, mLegendHeight)); currentOffset += margin; } Utils.calculateLegendInformation(mLegendList, 0, mGraphWidth, mLegendPaint); invalidateGlobal(); }
java
protected void onLegendDataChanged() { int legendCount = mLegendList.size(); float margin = (mGraphWidth / legendCount); float currentOffset = 0; for (LegendModel model : mLegendList) { model.setLegendBounds(new RectF(currentOffset, 0, currentOffset + margin, mLegendHeight)); currentOffset += margin; } Utils.calculateLegendInformation(mLegendList, 0, mGraphWidth, mLegendPaint); invalidateGlobal(); }
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Calculates the legend bounds for a custom list of legends.
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ce5e68ecc70e154f83bbb2fcce1a970db125c1e6
https://github.com/blackfizz/EazeGraph/blob/ce5e68ecc70e154f83bbb2fcce1a970db125c1e6/EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/ValueLineChart.java#L958-L972
train
blackfizz/EazeGraph
EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/ValueLineChart.java
ValueLineChart.calculateValueTextHeight
private void calculateValueTextHeight() { Rect valueRect = new Rect(); Rect legendRect = new Rect(); String str = Utils.getFloatString(mFocusedPoint.getValue(), mShowDecimal) + (!mIndicatorTextUnit.isEmpty() ? " " + mIndicatorTextUnit : ""); // calculate the boundaries for both texts mIndicatorPaint.getTextBounds(str, 0, str.length(), valueRect); mLegendPaint.getTextBounds(mFocusedPoint.getLegendLabel(), 0, mFocusedPoint.getLegendLabel().length(), legendRect); // calculate string positions in overlay mValueTextHeight = valueRect.height(); mValueLabelY = (int) (mValueTextHeight + mIndicatorTopPadding); mLegendLabelY = (int) (mValueTextHeight + mIndicatorTopPadding + legendRect.height() + Utils.dpToPx(7.f)); int chosenWidth = valueRect.width() > legendRect.width() ? valueRect.width() : legendRect.width(); // check if text reaches over screen if (mFocusedPoint.getCoordinates().getX() + chosenWidth + mIndicatorLeftPadding > -Utils.getTranslationX(mDrawMatrixValues) + mGraphWidth) { mValueLabelX = (int) (mFocusedPoint.getCoordinates().getX() - (valueRect.width() + mIndicatorLeftPadding)); mLegendLabelX = (int) (mFocusedPoint.getCoordinates().getX() - (legendRect.width() + mIndicatorLeftPadding)); } else { mValueLabelX = mLegendLabelX = (int) (mFocusedPoint.getCoordinates().getX() + mIndicatorLeftPadding); } }
java
private void calculateValueTextHeight() { Rect valueRect = new Rect(); Rect legendRect = new Rect(); String str = Utils.getFloatString(mFocusedPoint.getValue(), mShowDecimal) + (!mIndicatorTextUnit.isEmpty() ? " " + mIndicatorTextUnit : ""); // calculate the boundaries for both texts mIndicatorPaint.getTextBounds(str, 0, str.length(), valueRect); mLegendPaint.getTextBounds(mFocusedPoint.getLegendLabel(), 0, mFocusedPoint.getLegendLabel().length(), legendRect); // calculate string positions in overlay mValueTextHeight = valueRect.height(); mValueLabelY = (int) (mValueTextHeight + mIndicatorTopPadding); mLegendLabelY = (int) (mValueTextHeight + mIndicatorTopPadding + legendRect.height() + Utils.dpToPx(7.f)); int chosenWidth = valueRect.width() > legendRect.width() ? valueRect.width() : legendRect.width(); // check if text reaches over screen if (mFocusedPoint.getCoordinates().getX() + chosenWidth + mIndicatorLeftPadding > -Utils.getTranslationX(mDrawMatrixValues) + mGraphWidth) { mValueLabelX = (int) (mFocusedPoint.getCoordinates().getX() - (valueRect.width() + mIndicatorLeftPadding)); mLegendLabelX = (int) (mFocusedPoint.getCoordinates().getX() - (legendRect.width() + mIndicatorLeftPadding)); } else { mValueLabelX = mLegendLabelX = (int) (mFocusedPoint.getCoordinates().getX() + mIndicatorLeftPadding); } }
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Calculates the text height for the indicator value and sets its x-coordinate.
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ce5e68ecc70e154f83bbb2fcce1a970db125c1e6
https://github.com/blackfizz/EazeGraph/blob/ce5e68ecc70e154f83bbb2fcce1a970db125c1e6/EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/ValueLineChart.java#L977-L1000
train
blackfizz/EazeGraph
EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/BaseBarChart.java
BaseBarChart.calculateBarPositions
protected void calculateBarPositions(int _DataSize) { int dataSize = mScrollEnabled ? mVisibleBars : _DataSize; float barWidth = mBarWidth; float margin = mBarMargin; if (!mFixedBarWidth) { // calculate the bar width if the bars should be dynamically displayed barWidth = (mAvailableScreenSize / _DataSize) - margin; } else { if(_DataSize < mVisibleBars) { dataSize = _DataSize; } // calculate margin between bars if the bars have a fixed width float cumulatedBarWidths = barWidth * dataSize; float remainingScreenSize = mAvailableScreenSize - cumulatedBarWidths; margin = remainingScreenSize / dataSize; } boolean isVertical = this instanceof VerticalBarChart; int calculatedSize = (int) ((barWidth * _DataSize) + (margin * _DataSize)); int contentWidth = isVertical ? mGraphWidth : calculatedSize; int contentHeight = isVertical ? calculatedSize : mGraphHeight; mContentRect = new Rect(0, 0, contentWidth, contentHeight); mCurrentViewport = new RectF(0, 0, mGraphWidth, mGraphHeight); calculateBounds(barWidth, margin); mLegend.invalidate(); mGraph.invalidate(); }
java
protected void calculateBarPositions(int _DataSize) { int dataSize = mScrollEnabled ? mVisibleBars : _DataSize; float barWidth = mBarWidth; float margin = mBarMargin; if (!mFixedBarWidth) { // calculate the bar width if the bars should be dynamically displayed barWidth = (mAvailableScreenSize / _DataSize) - margin; } else { if(_DataSize < mVisibleBars) { dataSize = _DataSize; } // calculate margin between bars if the bars have a fixed width float cumulatedBarWidths = barWidth * dataSize; float remainingScreenSize = mAvailableScreenSize - cumulatedBarWidths; margin = remainingScreenSize / dataSize; } boolean isVertical = this instanceof VerticalBarChart; int calculatedSize = (int) ((barWidth * _DataSize) + (margin * _DataSize)); int contentWidth = isVertical ? mGraphWidth : calculatedSize; int contentHeight = isVertical ? calculatedSize : mGraphHeight; mContentRect = new Rect(0, 0, contentWidth, contentHeight); mCurrentViewport = new RectF(0, 0, mGraphWidth, mGraphHeight); calculateBounds(barWidth, margin); mLegend.invalidate(); mGraph.invalidate(); }
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Calculates the bar width and bar margin based on the _DataSize and settings and starts the boundary calculation in child classes. @param _DataSize Amount of data sets
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ce5e68ecc70e154f83bbb2fcce1a970db125c1e6
https://github.com/blackfizz/EazeGraph/blob/ce5e68ecc70e154f83bbb2fcce1a970db125c1e6/EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/BaseBarChart.java#L322-L356
train
blackfizz/EazeGraph
EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/BaseBarChart.java
BaseBarChart.onGraphDraw
@Override protected void onGraphDraw(Canvas _Canvas) { super.onGraphDraw(_Canvas); _Canvas.translate(-mCurrentViewport.left, -mCurrentViewport.top); drawBars(_Canvas); }
java
@Override protected void onGraphDraw(Canvas _Canvas) { super.onGraphDraw(_Canvas); _Canvas.translate(-mCurrentViewport.left, -mCurrentViewport.top); drawBars(_Canvas); }
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region Override Methods
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ce5e68ecc70e154f83bbb2fcce1a970db125c1e6
https://github.com/blackfizz/EazeGraph/blob/ce5e68ecc70e154f83bbb2fcce1a970db125c1e6/EazeGraphLibrary/src/main/java/org/eazegraph/lib/charts/BaseBarChart.java#L467-L472
train
blackfizz/EazeGraph
EazeGraphLibrary/src/main/java/org/eazegraph/lib/utils/Utils.java
Utils.calculatePointDiff
public static void calculatePointDiff(Point2D _P1, Point2D _P2, Point2D _Result, float _Multiplier) { float diffX = _P2.getX() - _P1.getX(); float diffY = _P2.getY() - _P1.getY(); _Result.setX(_P1.getX() + (diffX * _Multiplier)); _Result.setY(_P1.getY() + (diffY * _Multiplier)); }
java
public static void calculatePointDiff(Point2D _P1, Point2D _P2, Point2D _Result, float _Multiplier) { float diffX = _P2.getX() - _P1.getX(); float diffY = _P2.getY() - _P1.getY(); _Result.setX(_P1.getX() + (diffX * _Multiplier)); _Result.setY(_P1.getY() + (diffY * _Multiplier)); }
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Calculates the middle point between two points and multiplies its coordinates with the given smoothness _Mulitplier. @param _P1 First point @param _P2 Second point @param _Result Resulting point @param _Multiplier Smoothness multiplier
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ce5e68ecc70e154f83bbb2fcce1a970db125c1e6
https://github.com/blackfizz/EazeGraph/blob/ce5e68ecc70e154f83bbb2fcce1a970db125c1e6/EazeGraphLibrary/src/main/java/org/eazegraph/lib/utils/Utils.java#L58-L63
train
blackfizz/EazeGraph
EazeGraphLibrary/src/main/java/org/eazegraph/lib/utils/Utils.java
Utils.calculateLegendInformation
public static void calculateLegendInformation(List<? extends BaseModel> _Models, float _StartX, float _EndX, Paint _Paint) { float textMargin = Utils.dpToPx(10.f); float lastX = _StartX; // calculate the legend label positions and check if there is enough space to display the label, // if not the label will not be shown for (BaseModel model : _Models) { if (!model.isIgnore()) { Rect textBounds = new Rect(); RectF legendBounds = model.getLegendBounds(); _Paint.getTextBounds(model.getLegendLabel(), 0, model.getLegendLabel().length(), textBounds); model.setTextBounds(textBounds); float centerX = legendBounds.centerX(); float centeredTextPos = centerX - (textBounds.width() / 2); float textStartPos = centeredTextPos - textMargin; // check if the text is too big to fit on the screen if (centeredTextPos + textBounds.width() > _EndX - textMargin) { model.setShowLabel(false); } else { // check if the current legend label overrides the label before // if the label overrides the label before, the current label will not be shown. // If not the label will be shown and the label position is calculated if (textStartPos < lastX) { if (lastX + textMargin < legendBounds.left) { model.setLegendLabelPosition((int) (lastX + textMargin)); model.setShowLabel(true); lastX = lastX + textMargin + textBounds.width(); } else { model.setShowLabel(false); } } else { model.setShowLabel(true); model.setLegendLabelPosition((int) centeredTextPos); lastX = centerX + (textBounds.width() / 2); } } } } }
java
public static void calculateLegendInformation(List<? extends BaseModel> _Models, float _StartX, float _EndX, Paint _Paint) { float textMargin = Utils.dpToPx(10.f); float lastX = _StartX; // calculate the legend label positions and check if there is enough space to display the label, // if not the label will not be shown for (BaseModel model : _Models) { if (!model.isIgnore()) { Rect textBounds = new Rect(); RectF legendBounds = model.getLegendBounds(); _Paint.getTextBounds(model.getLegendLabel(), 0, model.getLegendLabel().length(), textBounds); model.setTextBounds(textBounds); float centerX = legendBounds.centerX(); float centeredTextPos = centerX - (textBounds.width() / 2); float textStartPos = centeredTextPos - textMargin; // check if the text is too big to fit on the screen if (centeredTextPos + textBounds.width() > _EndX - textMargin) { model.setShowLabel(false); } else { // check if the current legend label overrides the label before // if the label overrides the label before, the current label will not be shown. // If not the label will be shown and the label position is calculated if (textStartPos < lastX) { if (lastX + textMargin < legendBounds.left) { model.setLegendLabelPosition((int) (lastX + textMargin)); model.setShowLabel(true); lastX = lastX + textMargin + textBounds.width(); } else { model.setShowLabel(false); } } else { model.setShowLabel(true); model.setLegendLabelPosition((int) centeredTextPos); lastX = centerX + (textBounds.width() / 2); } } } } }
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Calculates the legend positions and which legend title should be displayed or not. Important: the LegendBounds in the _Models should be set and correctly calculated before this function is called! @param _Models The graph data which should have the BaseModel class as parent class. @param _StartX Left starting point on the screen. Should be the absolute pixel value! @param _Paint The correctly set Paint which will be used for the text painting in the later process
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ce5e68ecc70e154f83bbb2fcce1a970db125c1e6
https://github.com/blackfizz/EazeGraph/blob/ce5e68ecc70e154f83bbb2fcce1a970db125c1e6/EazeGraphLibrary/src/main/java/org/eazegraph/lib/utils/Utils.java#L98-L140
train
blackfizz/EazeGraph
EazeGraphLibrary/src/main/java/org/eazegraph/lib/utils/Utils.java
Utils.calculateMaxTextHeight
public static float calculateMaxTextHeight(Paint _Paint, String _Text) { Rect height = new Rect(); String text = _Text == null ? "MgHITasger" : _Text; _Paint.getTextBounds(text, 0, text.length(), height); return height.height(); }
java
public static float calculateMaxTextHeight(Paint _Paint, String _Text) { Rect height = new Rect(); String text = _Text == null ? "MgHITasger" : _Text; _Paint.getTextBounds(text, 0, text.length(), height); return height.height(); }
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Calculates the maximum text height which is possible based on the used Paint and its settings. @param _Paint Paint object which will be used to display a text. @param _Text The text which should be measured. If null, a default text is chosen, which has a maximum possible height @return Maximum text height in px.
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ce5e68ecc70e154f83bbb2fcce1a970db125c1e6
https://github.com/blackfizz/EazeGraph/blob/ce5e68ecc70e154f83bbb2fcce1a970db125c1e6/EazeGraphLibrary/src/main/java/org/eazegraph/lib/utils/Utils.java#L165-L170
train
blackfizz/EazeGraph
EazeGraphLibrary/src/main/java/org/eazegraph/lib/utils/Utils.java
Utils.intersectsPointWithRectF
public static boolean intersectsPointWithRectF(RectF _Rect, float _X, float _Y) { return _X > _Rect.left && _X < _Rect.right && _Y > _Rect.top && _Y < _Rect.bottom; }
java
public static boolean intersectsPointWithRectF(RectF _Rect, float _X, float _Y) { return _X > _Rect.left && _X < _Rect.right && _Y > _Rect.top && _Y < _Rect.bottom; }
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Checks if a point is in the given rectangle. @param _Rect rectangle which is checked @param _X x-coordinate of the point @param _Y y-coordinate of the point @return True if the points intersects with the rectangle.
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ce5e68ecc70e154f83bbb2fcce1a970db125c1e6
https://github.com/blackfizz/EazeGraph/blob/ce5e68ecc70e154f83bbb2fcce1a970db125c1e6/EazeGraphLibrary/src/main/java/org/eazegraph/lib/utils/Utils.java#L180-L182
train
airbnb/AirMapView
library/src/main/java/com/airbnb/android/airmapview/RuntimePermissionUtils.java
RuntimePermissionUtils.hasSelfPermissions
private static boolean hasSelfPermissions(Context context, String... permissions) { for (String permission : permissions) { if (checkSelfPermission(context, permission) == PackageManager.PERMISSION_GRANTED) { return true; } } return false; }
java
private static boolean hasSelfPermissions(Context context, String... permissions) { for (String permission : permissions) { if (checkSelfPermission(context, permission) == PackageManager.PERMISSION_GRANTED) { return true; } } return false; }
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Returns true if the context has access to any given permissions.
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f715197db2cc2903e8d70f78385d339c3f6a1c3b
https://github.com/airbnb/AirMapView/blob/f715197db2cc2903e8d70f78385d339c3f6a1c3b/library/src/main/java/com/airbnb/android/airmapview/RuntimePermissionUtils.java#L41-L48
train
airbnb/AirMapView
library/src/main/java/com/airbnb/android/airmapview/RuntimePermissionUtils.java
RuntimePermissionUtils.shouldShowRequestPermissionRationale
static boolean shouldShowRequestPermissionRationale(Activity activity, String... permissions) { for (String permission : permissions) { if (ActivityCompat.shouldShowRequestPermissionRationale(activity, permission)) { return true; } } return false; }
java
static boolean shouldShowRequestPermissionRationale(Activity activity, String... permissions) { for (String permission : permissions) { if (ActivityCompat.shouldShowRequestPermissionRationale(activity, permission)) { return true; } } return false; }
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Checks given permissions are needed to show rationale. @return returns true if one of the permission is needed to show rationale.
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f715197db2cc2903e8d70f78385d339c3f6a1c3b
https://github.com/airbnb/AirMapView/blob/f715197db2cc2903e8d70f78385d339c3f6a1c3b/library/src/main/java/com/airbnb/android/airmapview/RuntimePermissionUtils.java#L55-L62
train
airbnb/AirMapView
library/src/main/java/com/airbnb/android/airmapview/DefaultAirMapViewBuilder.java
DefaultAirMapViewBuilder.builder
public AirMapViewBuilder builder(AirMapViewTypes mapType) { switch (mapType) { case NATIVE: if (isNativeMapSupported) { return new NativeAirMapViewBuilder(); } break; case WEB: return getWebMapViewBuilder(); } throw new UnsupportedOperationException("Requested map type is not supported"); }
java
public AirMapViewBuilder builder(AirMapViewTypes mapType) { switch (mapType) { case NATIVE: if (isNativeMapSupported) { return new NativeAirMapViewBuilder(); } break; case WEB: return getWebMapViewBuilder(); } throw new UnsupportedOperationException("Requested map type is not supported"); }
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Returns the AirMapView implementation as requested by the mapType argument. Use this method if you need to request a specific AirMapView implementation that is not necessarily the preferred type. For example, you can use it to explicit request a web-based map implementation. @param mapType Map type for the requested AirMapView implementation. @return An {@link AirMapViewBuilder} for the requested {@link AirMapViewTypes} mapType.
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f715197db2cc2903e8d70f78385d339c3f6a1c3b
https://github.com/airbnb/AirMapView/blob/f715197db2cc2903e8d70f78385d339c3f6a1c3b/library/src/main/java/com/airbnb/android/airmapview/DefaultAirMapViewBuilder.java#L60-L71
train
airbnb/AirMapView
library/src/main/java/com/airbnb/android/airmapview/DefaultAirMapViewBuilder.java
DefaultAirMapViewBuilder.getWebMapViewBuilder
private AirMapViewBuilder getWebMapViewBuilder() { if (context != null) { try { ApplicationInfo ai = context.getPackageManager() .getApplicationInfo(context.getPackageName(), PackageManager.GET_META_DATA); Bundle bundle = ai.metaData; String accessToken = bundle.getString("com.mapbox.ACCESS_TOKEN"); String mapId = bundle.getString("com.mapbox.MAP_ID"); if (!TextUtils.isEmpty(accessToken) && !TextUtils.isEmpty(mapId)) { return new MapboxWebMapViewBuilder(accessToken, mapId); } } catch (PackageManager.NameNotFoundException e) { Log.e(TAG, "Failed to load Mapbox access token and map id", e); } } return new WebAirMapViewBuilder(); }
java
private AirMapViewBuilder getWebMapViewBuilder() { if (context != null) { try { ApplicationInfo ai = context.getPackageManager() .getApplicationInfo(context.getPackageName(), PackageManager.GET_META_DATA); Bundle bundle = ai.metaData; String accessToken = bundle.getString("com.mapbox.ACCESS_TOKEN"); String mapId = bundle.getString("com.mapbox.MAP_ID"); if (!TextUtils.isEmpty(accessToken) && !TextUtils.isEmpty(mapId)) { return new MapboxWebMapViewBuilder(accessToken, mapId); } } catch (PackageManager.NameNotFoundException e) { Log.e(TAG, "Failed to load Mapbox access token and map id", e); } } return new WebAirMapViewBuilder(); }
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Decides what the Map Web provider should be used and generates a builder for it. @return The AirMapViewBuilder for the selected Map Web provider.
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f715197db2cc2903e8d70f78385d339c3f6a1c3b
https://github.com/airbnb/AirMapView/blob/f715197db2cc2903e8d70f78385d339c3f6a1c3b/library/src/main/java/com/airbnb/android/airmapview/DefaultAirMapViewBuilder.java#L78-L95
train
airbnb/AirMapView
library/src/main/java/com/airbnb/android/airmapview/AirMapView.java
AirMapView.initialize
public void initialize(FragmentManager fragmentManager) { AirMapInterface mapInterface = (AirMapInterface) fragmentManager.findFragmentById(R.id.map_frame); if (mapInterface != null) { initialize(fragmentManager, mapInterface); } else { initialize(fragmentManager, new DefaultAirMapViewBuilder(getContext()).builder().build()); } }
java
public void initialize(FragmentManager fragmentManager) { AirMapInterface mapInterface = (AirMapInterface) fragmentManager.findFragmentById(R.id.map_frame); if (mapInterface != null) { initialize(fragmentManager, mapInterface); } else { initialize(fragmentManager, new DefaultAirMapViewBuilder(getContext()).builder().build()); } }
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Used for initialization of the underlying map provider. @param fragmentManager required for initialization
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f715197db2cc2903e8d70f78385d339c3f6a1c3b
https://github.com/airbnb/AirMapView/blob/f715197db2cc2903e8d70f78385d339c3f6a1c3b/library/src/main/java/com/airbnb/android/airmapview/AirMapView.java#L85-L94
train
SQiShER/java-object-diff
src/main/java/de/danielbechler/diff/introspection/PropertyAccessor.java
PropertyAccessor.getFieldAnnotations
private Set<Annotation> getFieldAnnotations(final Class<?> clazz) { try { return new LinkedHashSet<Annotation>(asList(clazz.getDeclaredField(propertyName).getAnnotations())); } catch (final NoSuchFieldException e) { if (clazz.getSuperclass() != null) { return getFieldAnnotations(clazz.getSuperclass()); } else { logger.debug("Cannot find propertyName: {}, declaring class: {}", propertyName, clazz); return new LinkedHashSet<Annotation>(0); } } }
java
private Set<Annotation> getFieldAnnotations(final Class<?> clazz) { try { return new LinkedHashSet<Annotation>(asList(clazz.getDeclaredField(propertyName).getAnnotations())); } catch (final NoSuchFieldException e) { if (clazz.getSuperclass() != null) { return getFieldAnnotations(clazz.getSuperclass()); } else { logger.debug("Cannot find propertyName: {}, declaring class: {}", propertyName, clazz); return new LinkedHashSet<Annotation>(0); } } }
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Private function to allow looking for the field recursively up the superclasses. @param clazz @return
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6f576669d49087f0e825a417cadc3d4c707a4924
https://github.com/SQiShER/java-object-diff/blob/6f576669d49087f0e825a417cadc3d4c707a4924/src/main/java/de/danielbechler/diff/introspection/PropertyAccessor.java#L92-L110
train
SQiShER/java-object-diff
src/main/java/de/danielbechler/diff/ObjectDiffer.java
ObjectDiffer.compare
public <T> DiffNode compare(final T working, final T base) { dispatcher.resetInstanceMemory(); try { return dispatcher.dispatch(DiffNode.ROOT, Instances.of(working, base), RootAccessor.getInstance()); } finally { dispatcher.clearInstanceMemory(); } }
java
public <T> DiffNode compare(final T working, final T base) { dispatcher.resetInstanceMemory(); try { return dispatcher.dispatch(DiffNode.ROOT, Instances.of(working, base), RootAccessor.getInstance()); } finally { dispatcher.clearInstanceMemory(); } }
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Recursively inspects the given objects and returns a node representing their differences. Both objects have be have the same type. @param working This object will be treated as the successor of the `base` object. @param base This object will be treated as the predecessor of the <code>working</code> object. @return A node representing the differences between the given objects.
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6f576669d49087f0e825a417cadc3d4c707a4924
https://github.com/SQiShER/java-object-diff/blob/6f576669d49087f0e825a417cadc3d4c707a4924/src/main/java/de/danielbechler/diff/ObjectDiffer.java#L47-L58
train
SQiShER/java-object-diff
src/main/java/de/danielbechler/diff/node/DiffNode.java
DiffNode.getChild
public DiffNode getChild(final NodePath nodePath) { if (parentNode != null) { return parentNode.getChild(nodePath.getElementSelectors()); } else { return getChild(nodePath.getElementSelectors()); } }
java
public DiffNode getChild(final NodePath nodePath) { if (parentNode != null) { return parentNode.getChild(nodePath.getElementSelectors()); } else { return getChild(nodePath.getElementSelectors()); } }
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Retrieve a child that matches the given absolute path, starting from the current node. @param nodePath The path from the object root to the requested child node. @return The requested child node or <code>null</code>.
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6f576669d49087f0e825a417cadc3d4c707a4924
https://github.com/SQiShER/java-object-diff/blob/6f576669d49087f0e825a417cadc3d4c707a4924/src/main/java/de/danielbechler/diff/node/DiffNode.java#L307-L317
train
SQiShER/java-object-diff
src/main/java/de/danielbechler/diff/node/DiffNode.java
DiffNode.addChild
public void addChild(final DiffNode node) { if (node == this) { throw new IllegalArgumentException("Detected attempt to add a node to itself. " + "This would cause inifite loops and must never happen."); } else if (node.isRootNode()) { throw new IllegalArgumentException("Detected attempt to add root node as child. " + "This is not allowed and must be a mistake."); } else if (node.getParentNode() != null && node.getParentNode() != this) { throw new IllegalArgumentException("Detected attempt to add child node that is already the " + "child of another node. Adding nodes multiple times is not allowed, since it could " + "cause infinite loops."); } if (node.getParentNode() == null) { node.setParentNode(this); } children.put(node.getElementSelector(), node); if (state == State.UNTOUCHED && node.hasChanges()) { state = State.CHANGED; } }
java
public void addChild(final DiffNode node) { if (node == this) { throw new IllegalArgumentException("Detected attempt to add a node to itself. " + "This would cause inifite loops and must never happen."); } else if (node.isRootNode()) { throw new IllegalArgumentException("Detected attempt to add root node as child. " + "This is not allowed and must be a mistake."); } else if (node.getParentNode() != null && node.getParentNode() != this) { throw new IllegalArgumentException("Detected attempt to add child node that is already the " + "child of another node. Adding nodes multiple times is not allowed, since it could " + "cause infinite loops."); } if (node.getParentNode() == null) { node.setParentNode(this); } children.put(node.getElementSelector(), node); if (state == State.UNTOUCHED && node.hasChanges()) { state = State.CHANGED; } }
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Adds a child to this node and sets this node as its parent node. @param node The node to add.
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6f576669d49087f0e825a417cadc3d4c707a4924
https://github.com/SQiShER/java-object-diff/blob/6f576669d49087f0e825a417cadc3d4c707a4924/src/main/java/de/danielbechler/diff/node/DiffNode.java#L364-L391
train
SQiShER/java-object-diff
src/main/java/de/danielbechler/diff/node/DiffNode.java
DiffNode.visit
public final void visit(final Visitor visitor) { final Visit visit = new Visit(); try { visit(visitor, visit); } catch (final StopVisitationException ignored) { } }
java
public final void visit(final Visitor visitor) { final Visit visit = new Visit(); try { visit(visitor, visit); } catch (final StopVisitationException ignored) { } }
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Visit this and all child nodes. @param visitor The visitor to use.
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6f576669d49087f0e825a417cadc3d4c707a4924
https://github.com/SQiShER/java-object-diff/blob/6f576669d49087f0e825a417cadc3d4c707a4924/src/main/java/de/danielbechler/diff/node/DiffNode.java#L398-L408
train
SQiShER/java-object-diff
src/main/java/de/danielbechler/diff/node/DiffNode.java
DiffNode.visitChildren
public final void visitChildren(final Visitor visitor) { for (final DiffNode child : children.values()) { try { child.visit(visitor); } catch (final StopVisitationException e) { return; } } }
java
public final void visitChildren(final Visitor visitor) { for (final DiffNode child : children.values()) { try { child.visit(visitor); } catch (final StopVisitationException e) { return; } } }
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Visit all child nodes but not this one. @param visitor The visitor to use.
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6f576669d49087f0e825a417cadc3d4c707a4924
https://github.com/SQiShER/java-object-diff/blob/6f576669d49087f0e825a417cadc3d4c707a4924/src/main/java/de/danielbechler/diff/node/DiffNode.java#L435-L448
train
SQiShER/java-object-diff
src/main/java/de/danielbechler/diff/node/DiffNode.java
DiffNode.getPropertyAnnotations
public Set<Annotation> getPropertyAnnotations() { if (accessor instanceof PropertyAwareAccessor) { return unmodifiableSet(((PropertyAwareAccessor) accessor).getReadMethodAnnotations()); } return unmodifiableSet(Collections.<Annotation>emptySet()); }
java
public Set<Annotation> getPropertyAnnotations() { if (accessor instanceof PropertyAwareAccessor) { return unmodifiableSet(((PropertyAwareAccessor) accessor).getReadMethodAnnotations()); } return unmodifiableSet(Collections.<Annotation>emptySet()); }
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If this node represents a bean property this method returns all annotations of its getter. @return A set of annotations of this nodes property getter or an empty set.
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6f576669d49087f0e825a417cadc3d4c707a4924
https://github.com/SQiShER/java-object-diff/blob/6f576669d49087f0e825a417cadc3d4c707a4924/src/main/java/de/danielbechler/diff/node/DiffNode.java#L499-L506
train
SQiShER/java-object-diff
src/main/java/de/danielbechler/diff/node/DiffNode.java
DiffNode.setParentNode
protected final void setParentNode(final DiffNode parentNode) { if (this.parentNode != null && this.parentNode != parentNode) { throw new IllegalStateException("The parent of a node cannot be changed, once it's set."); } this.parentNode = parentNode; }
java
protected final void setParentNode(final DiffNode parentNode) { if (this.parentNode != null && this.parentNode != parentNode) { throw new IllegalStateException("The parent of a node cannot be changed, once it's set."); } this.parentNode = parentNode; }
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Sets the parent node. @param parentNode The parent of this node. May be null, if this is a root node.
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6f576669d49087f0e825a417cadc3d4c707a4924
https://github.com/SQiShER/java-object-diff/blob/6f576669d49087f0e825a417cadc3d4c707a4924/src/main/java/de/danielbechler/diff/node/DiffNode.java#L616-L623
train
uber/tchannel-java
tchannel-hyperbahn/src/main/java/com/uber/tchannel/hyperbahn/api/HyperbahnClient.java
HyperbahnClient.advertise
public TFuture<JsonResponse<AdvertiseResponse>> advertise() { final AdvertiseRequest advertiseRequest = new AdvertiseRequest(); advertiseRequest.addService(service, 0); // TODO: options for hard fail, retries etc. final JsonRequest<AdvertiseRequest> request = new JsonRequest.Builder<AdvertiseRequest>( HYPERBAHN_SERVICE_NAME, HYPERBAHN_ADVERTISE_ENDPOINT ) .setBody(advertiseRequest) .setTimeout(REQUEST_TIMEOUT) .setRetryLimit(4) .build(); final TFuture<JsonResponse<AdvertiseResponse>> future = hyperbahnChannel.send(request); future.addCallback(new TFutureCallback<JsonResponse<AdvertiseResponse>>() { @Override public void onResponse(JsonResponse<AdvertiseResponse> response) { if (response.isError()) { logger.error("Failed to advertise to Hyperbahn: {} - {}", response.getError().getErrorType(), response.getError().getMessage()); } if (destroyed.get()) { return; } scheduleAdvertise(); } }); return future; }
java
public TFuture<JsonResponse<AdvertiseResponse>> advertise() { final AdvertiseRequest advertiseRequest = new AdvertiseRequest(); advertiseRequest.addService(service, 0); // TODO: options for hard fail, retries etc. final JsonRequest<AdvertiseRequest> request = new JsonRequest.Builder<AdvertiseRequest>( HYPERBAHN_SERVICE_NAME, HYPERBAHN_ADVERTISE_ENDPOINT ) .setBody(advertiseRequest) .setTimeout(REQUEST_TIMEOUT) .setRetryLimit(4) .build(); final TFuture<JsonResponse<AdvertiseResponse>> future = hyperbahnChannel.send(request); future.addCallback(new TFutureCallback<JsonResponse<AdvertiseResponse>>() { @Override public void onResponse(JsonResponse<AdvertiseResponse> response) { if (response.isError()) { logger.error("Failed to advertise to Hyperbahn: {} - {}", response.getError().getErrorType(), response.getError().getMessage()); } if (destroyed.get()) { return; } scheduleAdvertise(); } }); return future; }
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Starts advertising on Hyperbahn at a fixed interval. @return a future that resolves to the response of the first advertise request
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009cf1e6decc9bbd2daf90eb3401b13c03bfc7e1
https://github.com/uber/tchannel-java/blob/009cf1e6decc9bbd2daf90eb3401b13c03bfc7e1/tchannel-hyperbahn/src/main/java/com/uber/tchannel/hyperbahn/api/HyperbahnClient.java#L91-L125
train
bluelinelabs/LoganSquare
core/src/main/java/com/bluelinelabs/logansquare/JsonMapper.java
JsonMapper.parseList
public List<T> parseList(JsonParser jsonParser) throws IOException { List<T> list = new ArrayList<>(); if (jsonParser.getCurrentToken() == JsonToken.START_ARRAY) { while (jsonParser.nextToken() != JsonToken.END_ARRAY) { list.add(parse(jsonParser)); } } return list; }
java
public List<T> parseList(JsonParser jsonParser) throws IOException { List<T> list = new ArrayList<>(); if (jsonParser.getCurrentToken() == JsonToken.START_ARRAY) { while (jsonParser.nextToken() != JsonToken.END_ARRAY) { list.add(parse(jsonParser)); } } return list; }
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Parse a list of objects from a JsonParser. @param jsonParser The JsonParser, preconfigured to be at the START_ARRAY token.
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6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06
https://github.com/bluelinelabs/LoganSquare/blob/6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06/core/src/main/java/com/bluelinelabs/logansquare/JsonMapper.java#L137-L145
train
bluelinelabs/LoganSquare
core/src/main/java/com/bluelinelabs/logansquare/JsonMapper.java
JsonMapper.parseMap
public Map<String, T> parseMap(JsonParser jsonParser) throws IOException { HashMap<String, T> map = new HashMap<String, T>(); while (jsonParser.nextToken() != JsonToken.END_OBJECT) { String key = jsonParser.getText(); jsonParser.nextToken(); if (jsonParser.getCurrentToken() == JsonToken.VALUE_NULL) { map.put(key, null); } else{ map.put(key, parse(jsonParser)); } } return map; }
java
public Map<String, T> parseMap(JsonParser jsonParser) throws IOException { HashMap<String, T> map = new HashMap<String, T>(); while (jsonParser.nextToken() != JsonToken.END_OBJECT) { String key = jsonParser.getText(); jsonParser.nextToken(); if (jsonParser.getCurrentToken() == JsonToken.VALUE_NULL) { map.put(key, null); } else{ map.put(key, parse(jsonParser)); } } return map; }
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Parse a map of objects from a JsonParser. @param jsonParser The JsonParser, preconfigured to be at the START_ARRAY token.
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6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06
https://github.com/bluelinelabs/LoganSquare/blob/6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06/core/src/main/java/com/bluelinelabs/logansquare/JsonMapper.java#L196-L208
train
bluelinelabs/LoganSquare
core/src/main/java/com/bluelinelabs/logansquare/LoganSquare.java
LoganSquare.parse
public static <E> E parse(InputStream is, ParameterizedType<E> jsonObjectType) throws IOException { return mapperFor(jsonObjectType).parse(is); }
java
public static <E> E parse(InputStream is, ParameterizedType<E> jsonObjectType) throws IOException { return mapperFor(jsonObjectType).parse(is); }
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Parse a parameterized object from an InputStream. @param is The InputStream, most likely from your networking library. @param jsonObjectType The ParameterizedType describing the object. Ex: LoganSquare.parse(is, new ParameterizedType&lt;MyModel&lt;OtherModel&gt;&gt;() { });
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6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06
https://github.com/bluelinelabs/LoganSquare/blob/6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06/core/src/main/java/com/bluelinelabs/logansquare/LoganSquare.java#L88-L90
train
bluelinelabs/LoganSquare
core/src/main/java/com/bluelinelabs/logansquare/LoganSquare.java
LoganSquare.serialize
@SuppressWarnings("unchecked") public static <E> String serialize(E object, ParameterizedType<E> parameterizedType) throws IOException { return mapperFor(parameterizedType).serialize(object); }
java
@SuppressWarnings("unchecked") public static <E> String serialize(E object, ParameterizedType<E> parameterizedType) throws IOException { return mapperFor(parameterizedType).serialize(object); }
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Serialize a parameterized object to a JSON String. @param object The object to serialize. @param parameterizedType The ParameterizedType describing the object. Ex: LoganSquare.serialize(object, new ParameterizedType&lt;MyModel&lt;OtherModel&gt;&gt;() { });
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6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06
https://github.com/bluelinelabs/LoganSquare/blob/6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06/core/src/main/java/com/bluelinelabs/logansquare/LoganSquare.java#L169-L172
train
bluelinelabs/LoganSquare
core/src/main/java/com/bluelinelabs/logansquare/LoganSquare.java
LoganSquare.serialize
@SuppressWarnings("unchecked") public static <E> void serialize(E object, ParameterizedType<E> parameterizedType, OutputStream os) throws IOException { mapperFor(parameterizedType).serialize(object, os); }
java
@SuppressWarnings("unchecked") public static <E> void serialize(E object, ParameterizedType<E> parameterizedType, OutputStream os) throws IOException { mapperFor(parameterizedType).serialize(object, os); }
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Serialize a parameterized object to an OutputStream. @param object The object to serialize. @param parameterizedType The ParameterizedType describing the object. Ex: LoganSquare.serialize(object, new ParameterizedType&lt;MyModel&lt;OtherModel&gt;&gt;() { }, os); @param os The OutputStream being written to.
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6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06
https://github.com/bluelinelabs/LoganSquare/blob/6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06/core/src/main/java/com/bluelinelabs/logansquare/LoganSquare.java#L181-L184
train
bluelinelabs/LoganSquare
core/src/main/java/com/bluelinelabs/logansquare/LoganSquare.java
LoganSquare.serialize
public static <E> String serialize(Map<String, E> map, Class<E> jsonObjectClass) throws IOException { return mapperFor(jsonObjectClass).serialize(map); }
java
public static <E> String serialize(Map<String, E> map, Class<E> jsonObjectClass) throws IOException { return mapperFor(jsonObjectClass).serialize(map); }
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Serialize a map of objects to a JSON String. @param map The map of objects to serialize. @param jsonObjectClass The @JsonObject class of the list elements
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6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06
https://github.com/bluelinelabs/LoganSquare/blob/6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06/core/src/main/java/com/bluelinelabs/logansquare/LoganSquare.java#L213-L215
train
bluelinelabs/LoganSquare
core/src/main/java/com/bluelinelabs/logansquare/LoganSquare.java
LoganSquare.typeConverterFor
@SuppressWarnings("unchecked") public static <E> TypeConverter<E> typeConverterFor(Class<E> cls) throws NoSuchTypeConverterException { TypeConverter<E> typeConverter = TYPE_CONVERTERS.get(cls); if (typeConverter == null) { throw new NoSuchTypeConverterException(cls); } return typeConverter; }
java
@SuppressWarnings("unchecked") public static <E> TypeConverter<E> typeConverterFor(Class<E> cls) throws NoSuchTypeConverterException { TypeConverter<E> typeConverter = TYPE_CONVERTERS.get(cls); if (typeConverter == null) { throw new NoSuchTypeConverterException(cls); } return typeConverter; }
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Returns a TypeConverter for a given class. @param cls The class for which the TypeConverter should be fetched.
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6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06
https://github.com/bluelinelabs/LoganSquare/blob/6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06/core/src/main/java/com/bluelinelabs/logansquare/LoganSquare.java#L334-L341
train
bluelinelabs/LoganSquare
core/src/main/java/com/bluelinelabs/logansquare/LoganSquare.java
LoganSquare.registerTypeConverter
public static <E> void registerTypeConverter(Class<E> cls, TypeConverter<E> converter) { TYPE_CONVERTERS.put(cls, converter); }
java
public static <E> void registerTypeConverter(Class<E> cls, TypeConverter<E> converter) { TYPE_CONVERTERS.put(cls, converter); }
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Register a new TypeConverter for parsing and serialization. @param cls The class for which the TypeConverter should be used. @param converter The TypeConverter
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6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06
https://github.com/bluelinelabs/LoganSquare/blob/6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06/core/src/main/java/com/bluelinelabs/logansquare/LoganSquare.java#L349-L351
train
bluelinelabs/LoganSquare
core/src/main/java/com/bluelinelabs/logansquare/util/SimpleArrayMap.java
SimpleArrayMap.indexOfKey
public int indexOfKey(Object key) { return key == null ? indexOfNull() : indexOf(key, key.hashCode()); }
java
public int indexOfKey(Object key) { return key == null ? indexOfNull() : indexOf(key, key.hashCode()); }
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Returns the index of a key in the set. @param key The key to search for. @return Returns the index of the key if it exists, else a negative integer.
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6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06
https://github.com/bluelinelabs/LoganSquare/blob/6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06/core/src/main/java/com/bluelinelabs/logansquare/util/SimpleArrayMap.java#L273-L275
train
bluelinelabs/LoganSquare
core/src/main/java/com/bluelinelabs/logansquare/util/SimpleArrayMap.java
SimpleArrayMap.put
public V put(K key, V value) { final int hash; int index; if (key == null) { hash = 0; index = indexOfNull(); } else { hash = key.hashCode(); index = indexOf(key, hash); } if (index >= 0) { index = (index<<1) + 1; final V old = (V)mArray[index]; mArray[index] = value; return old; } index = ~index; if (mSize >= mHashes.length) { final int n = mSize >= (BASE_SIZE*2) ? (mSize+(mSize>>1)) : (mSize >= BASE_SIZE ? (BASE_SIZE*2) : BASE_SIZE); final int[] ohashes = mHashes; final Object[] oarray = mArray; allocArrays(n); if (mHashes.length > 0) { System.arraycopy(ohashes, 0, mHashes, 0, ohashes.length); System.arraycopy(oarray, 0, mArray, 0, oarray.length); } freeArrays(ohashes, oarray, mSize); } if (index < mSize) { System.arraycopy(mHashes, index, mHashes, index + 1, mSize - index); System.arraycopy(mArray, index << 1, mArray, (index + 1) << 1, (mSize - index) << 1); } mHashes[index] = hash; mArray[index<<1] = key; mArray[(index<<1)+1] = value; mSize++; return null; }
java
public V put(K key, V value) { final int hash; int index; if (key == null) { hash = 0; index = indexOfNull(); } else { hash = key.hashCode(); index = indexOf(key, hash); } if (index >= 0) { index = (index<<1) + 1; final V old = (V)mArray[index]; mArray[index] = value; return old; } index = ~index; if (mSize >= mHashes.length) { final int n = mSize >= (BASE_SIZE*2) ? (mSize+(mSize>>1)) : (mSize >= BASE_SIZE ? (BASE_SIZE*2) : BASE_SIZE); final int[] ohashes = mHashes; final Object[] oarray = mArray; allocArrays(n); if (mHashes.length > 0) { System.arraycopy(ohashes, 0, mHashes, 0, ohashes.length); System.arraycopy(oarray, 0, mArray, 0, oarray.length); } freeArrays(ohashes, oarray, mSize); } if (index < mSize) { System.arraycopy(mHashes, index, mHashes, index + 1, mSize - index); System.arraycopy(mArray, index << 1, mArray, (index + 1) << 1, (mSize - index) << 1); } mHashes[index] = hash; mArray[index<<1] = key; mArray[(index<<1)+1] = value; mSize++; return null; }
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Add a new value to the array map. @param key The key under which to store the value. <b>Must not be null.</b> If this key already exists in the array, its value will be replaced. @param value The value to store for the given key. @return Returns the old value that was stored for the given key, or null if there was no such key.
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6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06
https://github.com/bluelinelabs/LoganSquare/blob/6c5ec5281fb58d85a99413b7b6f55e9ef18a6e06/core/src/main/java/com/bluelinelabs/logansquare/util/SimpleArrayMap.java#L364-L408
train
edvin/fxlauncher
src/main/java/fxlauncher/LauncherParams.java
LauncherParams.computeUnnamedParams
private void computeUnnamedParams() { unnamedParams.addAll(rawArgs.stream().filter(arg -> !isNamedParam(arg)).collect(Collectors.toList())); }
java
private void computeUnnamedParams() { unnamedParams.addAll(rawArgs.stream().filter(arg -> !isNamedParam(arg)).collect(Collectors.toList())); }
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This method computes the list of unnamed parameters, by filtering the list of raw arguments, stripping out the named parameters.
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3024b413c8743d1e3576e91f9911b68076bcb625
https://github.com/edvin/fxlauncher/blob/3024b413c8743d1e3576e91f9911b68076bcb625/src/main/java/fxlauncher/LauncherParams.java#L97-L99
train
lessthanoptimal/ejml
examples/src/org/ejml/example/StatisticsMatrix.java
StatisticsMatrix.wrap
public static StatisticsMatrix wrap( DMatrixRMaj m ) { StatisticsMatrix ret = new StatisticsMatrix(); ret.setMatrix( m ); return ret; }
java
public static StatisticsMatrix wrap( DMatrixRMaj m ) { StatisticsMatrix ret = new StatisticsMatrix(); ret.setMatrix( m ); return ret; }
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Wraps a StatisticsMatrix around 'm'. Does NOT create a copy of 'm' but saves a reference to it.
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/examples/src/org/ejml/example/StatisticsMatrix.java#L50-L55
train
lessthanoptimal/ejml
examples/src/org/ejml/example/StatisticsMatrix.java
StatisticsMatrix.mean
public double mean() { double total = 0; final int N = getNumElements(); for( int i = 0; i < N; i++ ) { total += get(i); } return total/N; }
java
public double mean() { double total = 0; final int N = getNumElements(); for( int i = 0; i < N; i++ ) { total += get(i); } return total/N; }
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Computes the mean or average of all the elements. @return mean
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/examples/src/org/ejml/example/StatisticsMatrix.java#L62-L71
train
lessthanoptimal/ejml
examples/src/org/ejml/example/StatisticsMatrix.java
StatisticsMatrix.stdev
public double stdev() { double m = mean(); double total = 0; final int N = getNumElements(); if( N <= 1 ) throw new IllegalArgumentException("There must be more than one element to compute stdev"); for( int i = 0; i < N; i++ ) { double x = get(i); total += (x - m)*(x - m); } total /= (N-1); return Math.sqrt(total); }
java
public double stdev() { double m = mean(); double total = 0; final int N = getNumElements(); if( N <= 1 ) throw new IllegalArgumentException("There must be more than one element to compute stdev"); for( int i = 0; i < N; i++ ) { double x = get(i); total += (x - m)*(x - m); } total /= (N-1); return Math.sqrt(total); }
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Computes the unbiased standard deviation of all the elements. @return standard deviation
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/examples/src/org/ejml/example/StatisticsMatrix.java#L78-L97
train
lessthanoptimal/ejml
examples/src/org/ejml/example/StatisticsMatrix.java
StatisticsMatrix.createMatrix
@Override protected StatisticsMatrix createMatrix(int numRows, int numCols, MatrixType type) { return new StatisticsMatrix(numRows,numCols); }
java
@Override protected StatisticsMatrix createMatrix(int numRows, int numCols, MatrixType type) { return new StatisticsMatrix(numRows,numCols); }
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Returns a matrix of StatisticsMatrix type so that SimpleMatrix functions create matrices of the correct type.
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/examples/src/org/ejml/example/StatisticsMatrix.java#L103-L106
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/block/decomposition/chol/CholeskyOuterForm_DDRB.java
CholeskyOuterForm_DDRB.decompose
@Override public boolean decompose(DMatrixRBlock A) { if( A.numCols != A.numRows ) throw new IllegalArgumentException("A must be square"); this.T = A; if( lower ) return decomposeLower(); else return decomposeUpper(); }
java
@Override public boolean decompose(DMatrixRBlock A) { if( A.numCols != A.numRows ) throw new IllegalArgumentException("A must be square"); this.T = A; if( lower ) return decomposeLower(); else return decomposeUpper(); }
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Decomposes the provided matrix and stores the result in the same matrix. @param A Matrix that is to be decomposed. Modified. @return If it succeeded or not.
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/block/decomposition/chol/CholeskyOuterForm_DDRB.java#L71-L82
train
lessthanoptimal/ejml
main/ejml-core/src/org/ejml/ops/MatrixIO.java
MatrixIO.saveBin
public static void saveBin(DMatrix A, String fileName) throws IOException { FileOutputStream fileStream = new FileOutputStream(fileName); ObjectOutputStream stream = new ObjectOutputStream(fileStream); try { stream.writeObject(A); stream.flush(); } finally { // clean up try { stream.close(); } finally { fileStream.close(); } } }
java
public static void saveBin(DMatrix A, String fileName) throws IOException { FileOutputStream fileStream = new FileOutputStream(fileName); ObjectOutputStream stream = new ObjectOutputStream(fileStream); try { stream.writeObject(A); stream.flush(); } finally { // clean up try { stream.close(); } finally { fileStream.close(); } } }
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Saves a matrix to disk using Java binary serialization. @param A The matrix being saved. @param fileName Name of the file its being saved at. @throws java.io.IOException
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-core/src/org/ejml/ops/MatrixIO.java#L48-L66
train
lessthanoptimal/ejml
main/ejml-dsparse/src/org/ejml/sparse/csc/RandomMatrices_DSCC.java
RandomMatrices_DSCC.rectangle
public static DMatrixSparseCSC rectangle(int numRows , int numCols , int nz_total , double min , double max , Random rand ) { nz_total = Math.min(numCols*numRows,nz_total); int[] selected = UtilEjml.shuffled(numRows*numCols, nz_total, rand); Arrays.sort(selected,0,nz_total); DMatrixSparseCSC ret = new DMatrixSparseCSC(numRows,numCols,nz_total); ret.indicesSorted = true; // compute the number of elements in each column int hist[] = new int[ numCols ]; for (int i = 0; i < nz_total; i++) { hist[selected[i]/numRows]++; } // define col_idx ret.histogramToStructure(hist); for (int i = 0; i < nz_total; i++) { int row = selected[i]%numRows; ret.nz_rows[i] = row; ret.nz_values[i] = rand.nextDouble()*(max-min)+min; } return ret; }
java
public static DMatrixSparseCSC rectangle(int numRows , int numCols , int nz_total , double min , double max , Random rand ) { nz_total = Math.min(numCols*numRows,nz_total); int[] selected = UtilEjml.shuffled(numRows*numCols, nz_total, rand); Arrays.sort(selected,0,nz_total); DMatrixSparseCSC ret = new DMatrixSparseCSC(numRows,numCols,nz_total); ret.indicesSorted = true; // compute the number of elements in each column int hist[] = new int[ numCols ]; for (int i = 0; i < nz_total; i++) { hist[selected[i]/numRows]++; } // define col_idx ret.histogramToStructure(hist); for (int i = 0; i < nz_total; i++) { int row = selected[i]%numRows; ret.nz_rows[i] = row; ret.nz_values[i] = rand.nextDouble()*(max-min)+min; } return ret; }
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Randomly generates matrix with the specified number of non-zero elements filled with values from min to max. @param numRows Number of rows @param numCols Number of columns @param nz_total Total number of non-zero elements in the matrix @param min Minimum element value, inclusive @param max Maximum element value, inclusive @param rand Random number generator @return Randomly generated matrix
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-dsparse/src/org/ejml/sparse/csc/RandomMatrices_DSCC.java#L46-L73
train
lessthanoptimal/ejml
main/ejml-dsparse/src/org/ejml/sparse/csc/RandomMatrices_DSCC.java
RandomMatrices_DSCC.symmetric
public static DMatrixSparseCSC symmetric( int N , int nz_total , double min , double max , Random rand) { // compute the number of elements in the triangle, including diagonal int Ntriagle = (N*N+N)/2; // create a list of open elements int open[] = new int[Ntriagle]; for (int row = 0, index = 0; row < N; row++) { for (int col = row; col < N; col++, index++) { open[index] = row*N+col; } } // perform a random draw UtilEjml.shuffle(open,open.length,0,nz_total,rand); Arrays.sort(open,0,nz_total); // construct the matrix DMatrixSparseTriplet A = new DMatrixSparseTriplet(N,N,nz_total*2); for (int i = 0; i < nz_total; i++) { int index = open[i]; int row = index/N; int col = index%N; double value = rand.nextDouble()*(max-min)+min; if( row == col ) { A.addItem(row,col,value); } else { A.addItem(row,col,value); A.addItem(col,row,value); } } DMatrixSparseCSC B = new DMatrixSparseCSC(N,N,A.nz_length); ConvertDMatrixStruct.convert(A,B); return B; }
java
public static DMatrixSparseCSC symmetric( int N , int nz_total , double min , double max , Random rand) { // compute the number of elements in the triangle, including diagonal int Ntriagle = (N*N+N)/2; // create a list of open elements int open[] = new int[Ntriagle]; for (int row = 0, index = 0; row < N; row++) { for (int col = row; col < N; col++, index++) { open[index] = row*N+col; } } // perform a random draw UtilEjml.shuffle(open,open.length,0,nz_total,rand); Arrays.sort(open,0,nz_total); // construct the matrix DMatrixSparseTriplet A = new DMatrixSparseTriplet(N,N,nz_total*2); for (int i = 0; i < nz_total; i++) { int index = open[i]; int row = index/N; int col = index%N; double value = rand.nextDouble()*(max-min)+min; if( row == col ) { A.addItem(row,col,value); } else { A.addItem(row,col,value); A.addItem(col,row,value); } } DMatrixSparseCSC B = new DMatrixSparseCSC(N,N,A.nz_length); ConvertDMatrixStruct.convert(A,B); return B; }
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Creates a random symmetric matrix. The entire matrix will be filled in, not just a triangular portion. @param N Number of rows and columns @param nz_total Number of nonzero elements in the triangular portion of the matrix @param min Minimum element value, inclusive @param max Maximum element value, inclusive @param rand Random number generator @return Randomly generated matrix
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-dsparse/src/org/ejml/sparse/csc/RandomMatrices_DSCC.java#L91-L129
train
lessthanoptimal/ejml
main/ejml-dsparse/src/org/ejml/sparse/csc/RandomMatrices_DSCC.java
RandomMatrices_DSCC.triangle
public static DMatrixSparseCSC triangle( boolean upper , int N , double minFill , double maxFill , Random rand ) { int nz = (int)(((N-1)*(N-1)/2)*(rand.nextDouble()*(maxFill-minFill)+minFill))+N; if( upper ) { return triangleUpper(N,0,nz,-1,1,rand); } else { return triangleLower(N,0,nz,-1,1,rand); } }
java
public static DMatrixSparseCSC triangle( boolean upper , int N , double minFill , double maxFill , Random rand ) { int nz = (int)(((N-1)*(N-1)/2)*(rand.nextDouble()*(maxFill-minFill)+minFill))+N; if( upper ) { return triangleUpper(N,0,nz,-1,1,rand); } else { return triangleLower(N,0,nz,-1,1,rand); } }
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Creates a triangular matrix where the amount of fill is randomly selected too. @param upper true for upper triangular and false for lower @param N number of rows and columns er * @param minFill minimum fill fraction @param maxFill maximum fill fraction @param rand random number generator @return Random matrix
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-dsparse/src/org/ejml/sparse/csc/RandomMatrices_DSCC.java#L236-L244
train
lessthanoptimal/ejml
main/ejml-dsparse/src/org/ejml/sparse/csc/RandomMatrices_DSCC.java
RandomMatrices_DSCC.ensureNotSingular
public static void ensureNotSingular( DMatrixSparseCSC A , Random rand ) { // if( A.numRows < A.numCols ) { // throw new IllegalArgumentException("Fewer equations than variables"); // } int []s = UtilEjml.shuffled(A.numRows,rand); Arrays.sort(s); int N = Math.min(A.numCols,A.numRows); for (int col = 0; col < N; col++) { A.set(s[col],col,rand.nextDouble()+0.5); } }
java
public static void ensureNotSingular( DMatrixSparseCSC A , Random rand ) { // if( A.numRows < A.numCols ) { // throw new IllegalArgumentException("Fewer equations than variables"); // } int []s = UtilEjml.shuffled(A.numRows,rand); Arrays.sort(s); int N = Math.min(A.numCols,A.numRows); for (int col = 0; col < N; col++) { A.set(s[col],col,rand.nextDouble()+0.5); } }
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Modies the matrix to make sure that at least one element in each column has a value
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-dsparse/src/org/ejml/sparse/csc/RandomMatrices_DSCC.java#L271-L283
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/row/misc/DeterminantFromMinor_DDRM.java
DeterminantFromMinor_DDRM.compute
public double compute( DMatrix1Row mat ) { if( width != mat.numCols || width != mat.numRows ) { throw new RuntimeException("Unexpected matrix dimension"); } // make sure everything is in the proper state before it starts initStructures(); // System.arraycopy(mat.data,0,minorMatrix[0],0,mat.data.length); int level = 0; while( true ) { int levelWidth = width-level; int levelIndex = levelIndexes[level]; if( levelIndex == levelWidth ) { if( level == 0 ) { return levelResults[0]; } int prevLevelIndex = levelIndexes[level-1]++; double val = mat.get((level-1)*width+levelRemoved[level-1]); if( prevLevelIndex % 2 == 0 ) { levelResults[level-1] += val * levelResults[level]; } else { levelResults[level-1] -= val * levelResults[level]; } putIntoOpen(level-1); levelResults[level] = 0; levelIndexes[level] = 0; level--; } else { int excluded = openRemove( levelIndex ); levelRemoved[level] = excluded; if( levelWidth == minWidth ) { createMinor(mat); double subresult = mat.get(level*width+levelRemoved[level]); subresult *= UnrolledDeterminantFromMinor_DDRM.det(tempMat); if( levelIndex % 2 == 0 ) { levelResults[level] += subresult; } else { levelResults[level] -= subresult; } // put it back into the list putIntoOpen(level); levelIndexes[level]++; } else { level++; } } } }
java
public double compute( DMatrix1Row mat ) { if( width != mat.numCols || width != mat.numRows ) { throw new RuntimeException("Unexpected matrix dimension"); } // make sure everything is in the proper state before it starts initStructures(); // System.arraycopy(mat.data,0,minorMatrix[0],0,mat.data.length); int level = 0; while( true ) { int levelWidth = width-level; int levelIndex = levelIndexes[level]; if( levelIndex == levelWidth ) { if( level == 0 ) { return levelResults[0]; } int prevLevelIndex = levelIndexes[level-1]++; double val = mat.get((level-1)*width+levelRemoved[level-1]); if( prevLevelIndex % 2 == 0 ) { levelResults[level-1] += val * levelResults[level]; } else { levelResults[level-1] -= val * levelResults[level]; } putIntoOpen(level-1); levelResults[level] = 0; levelIndexes[level] = 0; level--; } else { int excluded = openRemove( levelIndex ); levelRemoved[level] = excluded; if( levelWidth == minWidth ) { createMinor(mat); double subresult = mat.get(level*width+levelRemoved[level]); subresult *= UnrolledDeterminantFromMinor_DDRM.det(tempMat); if( levelIndex % 2 == 0 ) { levelResults[level] += subresult; } else { levelResults[level] -= subresult; } // put it back into the list putIntoOpen(level); levelIndexes[level]++; } else { level++; } } } }
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Computes the determinant for the specified matrix. It must be square and have the same width and height as what was specified in the constructor. @param mat The matrix whose determinant is to be computed. @return The determinant.
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/row/misc/DeterminantFromMinor_DDRM.java#L113-L171
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java
SingularOps_DDRM.singularValues
public static double[] singularValues( DMatrixRMaj A ) { SingularValueDecomposition_F64<DMatrixRMaj> svd = DecompositionFactory_DDRM.svd(A.numRows,A.numCols,false,true,true); if( svd.inputModified() ) { A = A.copy(); } if( !svd.decompose(A)) { throw new RuntimeException("SVD Failed!"); } double sv[] = svd.getSingularValues(); Arrays.sort(sv,0,svd.numberOfSingularValues()); // change the ordering to ascending for (int i = 0; i < sv.length/2; i++) { double tmp = sv[i]; sv[i] = sv[sv.length-i-1]; sv[sv.length-i-1] = tmp; } return sv; }
java
public static double[] singularValues( DMatrixRMaj A ) { SingularValueDecomposition_F64<DMatrixRMaj> svd = DecompositionFactory_DDRM.svd(A.numRows,A.numCols,false,true,true); if( svd.inputModified() ) { A = A.copy(); } if( !svd.decompose(A)) { throw new RuntimeException("SVD Failed!"); } double sv[] = svd.getSingularValues(); Arrays.sort(sv,0,svd.numberOfSingularValues()); // change the ordering to ascending for (int i = 0; i < sv.length/2; i++) { double tmp = sv[i]; sv[i] = sv[sv.length-i-1]; sv[sv.length-i-1] = tmp; } return sv; }
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Returns an array of all the singular values in A sorted in ascending order @param A Matrix. Not modified. @return singular values
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java#L48-L69
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java
SingularOps_DDRM.ratioSmallestOverLargest
public static double ratioSmallestOverLargest( double []sv ) { if( sv.length == 0 ) return Double.NaN; double min = sv[0]; double max = min; for (int i = 1; i < sv.length; i++) { double v = sv[i]; if( v > max ) max = v; else if( v < min ) min = v; } return min/max; }
java
public static double ratioSmallestOverLargest( double []sv ) { if( sv.length == 0 ) return Double.NaN; double min = sv[0]; double max = min; for (int i = 1; i < sv.length; i++) { double v = sv[i]; if( v > max ) max = v; else if( v < min ) min = v; } return min/max; }
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Computes the ratio of the smallest value to the largest. Does not assume the array is sorted first @param sv array @return smallest / largest
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java#L77-L93
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java
SingularOps_DDRM.rank
public static int rank( DMatrixRMaj A ) { SingularValueDecomposition_F64<DMatrixRMaj> svd = DecompositionFactory_DDRM.svd(A.numRows,A.numCols,false,true,true); if( svd.inputModified() ) { A = A.copy(); } if( !svd.decompose(A)) { throw new RuntimeException("SVD Failed!"); } int N = svd.numberOfSingularValues(); double sv[] = svd.getSingularValues(); double threshold = singularThreshold(sv,N); int count = 0; for (int i = 0; i < sv.length; i++) { if( sv[i] >= threshold ) { count++; } } return count; }
java
public static int rank( DMatrixRMaj A ) { SingularValueDecomposition_F64<DMatrixRMaj> svd = DecompositionFactory_DDRM.svd(A.numRows,A.numCols,false,true,true); if( svd.inputModified() ) { A = A.copy(); } if( !svd.decompose(A)) { throw new RuntimeException("SVD Failed!"); } int N = svd.numberOfSingularValues(); double sv[] = svd.getSingularValues(); double threshold = singularThreshold(sv,N); int count = 0; for (int i = 0; i < sv.length; i++) { if( sv[i] >= threshold ) { count++; } } return count; }
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Returns the matrix's rank. Automatic selection of threshold @param A Matrix. Not modified. @return The rank of the decomposed matrix.
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java#L129-L150
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java
SingularOps_DDRM.checkSvdMatrixSize
public static void checkSvdMatrixSize(DMatrixRMaj U, boolean tranU, DMatrixRMaj W, DMatrixRMaj V, boolean tranV ) { int numSingular = Math.min(W.numRows,W.numCols); boolean compact = W.numRows == W.numCols; if( compact ) { if( U != null ) { if( tranU && U.numRows != numSingular ) throw new IllegalArgumentException("Unexpected size of matrix U"); else if( !tranU && U.numCols != numSingular ) throw new IllegalArgumentException("Unexpected size of matrix U"); } if( V != null ) { if( tranV && V.numRows != numSingular ) throw new IllegalArgumentException("Unexpected size of matrix V"); else if( !tranV && V.numCols != numSingular ) throw new IllegalArgumentException("Unexpected size of matrix V"); } } else { if( U != null && U.numRows != U.numCols ) throw new IllegalArgumentException("Unexpected size of matrix U"); if( V != null && V.numRows != V.numCols ) throw new IllegalArgumentException("Unexpected size of matrix V"); if( U != null && U.numRows != W.numRows ) throw new IllegalArgumentException("Unexpected size of W"); if( V != null && V.numRows != W.numCols ) throw new IllegalArgumentException("Unexpected size of W"); } }
java
public static void checkSvdMatrixSize(DMatrixRMaj U, boolean tranU, DMatrixRMaj W, DMatrixRMaj V, boolean tranV ) { int numSingular = Math.min(W.numRows,W.numCols); boolean compact = W.numRows == W.numCols; if( compact ) { if( U != null ) { if( tranU && U.numRows != numSingular ) throw new IllegalArgumentException("Unexpected size of matrix U"); else if( !tranU && U.numCols != numSingular ) throw new IllegalArgumentException("Unexpected size of matrix U"); } if( V != null ) { if( tranV && V.numRows != numSingular ) throw new IllegalArgumentException("Unexpected size of matrix V"); else if( !tranV && V.numCols != numSingular ) throw new IllegalArgumentException("Unexpected size of matrix V"); } } else { if( U != null && U.numRows != U.numCols ) throw new IllegalArgumentException("Unexpected size of matrix U"); if( V != null && V.numRows != V.numCols ) throw new IllegalArgumentException("Unexpected size of matrix V"); if( U != null && U.numRows != W.numRows ) throw new IllegalArgumentException("Unexpected size of W"); if( V != null && V.numRows != W.numCols ) throw new IllegalArgumentException("Unexpected size of W"); } }
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Checks to see if all the provided matrices are the expected size for an SVD. If an error is encountered then an exception is thrown. This automatically handles compact and non-compact formats
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java#L319-L347
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java
SingularOps_DDRM.nullspaceQR
public static DMatrixRMaj nullspaceQR( DMatrixRMaj A , int totalSingular ) { SolveNullSpaceQR_DDRM solver = new SolveNullSpaceQR_DDRM(); DMatrixRMaj nullspace = new DMatrixRMaj(1,1); if( !solver.process(A,totalSingular,nullspace)) throw new RuntimeException("Solver failed. try SVD based method instead?"); return nullspace; }
java
public static DMatrixRMaj nullspaceQR( DMatrixRMaj A , int totalSingular ) { SolveNullSpaceQR_DDRM solver = new SolveNullSpaceQR_DDRM(); DMatrixRMaj nullspace = new DMatrixRMaj(1,1); if( !solver.process(A,totalSingular,nullspace)) throw new RuntimeException("Solver failed. try SVD based method instead?"); return nullspace; }
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Computes the null space using QR decomposition. This is much faster than using SVD @param A (Input) Matrix @param totalSingular Number of singular values @return Null space
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java#L434-L443
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java
SingularOps_DDRM.nullspaceQRP
public static DMatrixRMaj nullspaceQRP( DMatrixRMaj A , int totalSingular ) { SolveNullSpaceQRP_DDRM solver = new SolveNullSpaceQRP_DDRM(); DMatrixRMaj nullspace = new DMatrixRMaj(1,1); if( !solver.process(A,totalSingular,nullspace)) throw new RuntimeException("Solver failed. try SVD based method instead?"); return nullspace; }
java
public static DMatrixRMaj nullspaceQRP( DMatrixRMaj A , int totalSingular ) { SolveNullSpaceQRP_DDRM solver = new SolveNullSpaceQRP_DDRM(); DMatrixRMaj nullspace = new DMatrixRMaj(1,1); if( !solver.process(A,totalSingular,nullspace)) throw new RuntimeException("Solver failed. try SVD based method instead?"); return nullspace; }
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Computes the null space using QRP decomposition. This is faster than using SVD but slower than QR. Much more stable than QR though. @param A (Input) Matrix @param totalSingular Number of singular values @return Null space
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java#L452-L461
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java
SingularOps_DDRM.nullspaceSVD
public static DMatrixRMaj nullspaceSVD( DMatrixRMaj A , int totalSingular ) { SolveNullSpace<DMatrixRMaj> solver = new SolveNullSpaceSvd_DDRM(); DMatrixRMaj nullspace = new DMatrixRMaj(1,1); if( !solver.process(A,totalSingular,nullspace)) throw new RuntimeException("Solver failed. try SVD based method instead?"); return nullspace; }
java
public static DMatrixRMaj nullspaceSVD( DMatrixRMaj A , int totalSingular ) { SolveNullSpace<DMatrixRMaj> solver = new SolveNullSpaceSvd_DDRM(); DMatrixRMaj nullspace = new DMatrixRMaj(1,1); if( !solver.process(A,totalSingular,nullspace)) throw new RuntimeException("Solver failed. try SVD based method instead?"); return nullspace; }
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Computes the null space using SVD. Slowest bust most stable way to find the solution @param A (Input) Matrix @param totalSingular Number of singular values @return Null space
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java#L470-L479
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java
SingularOps_DDRM.rank
public static int rank(SingularValueDecomposition_F64 svd , double threshold ) { int numRank=0; double w[]= svd.getSingularValues(); int N = svd.numberOfSingularValues(); for( int j = 0; j < N; j++ ) { if( w[j] > threshold) numRank++; } return numRank; }
java
public static int rank(SingularValueDecomposition_F64 svd , double threshold ) { int numRank=0; double w[]= svd.getSingularValues(); int N = svd.numberOfSingularValues(); for( int j = 0; j < N; j++ ) { if( w[j] > threshold) numRank++; } return numRank; }
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Extracts the rank of a matrix using a preexisting decomposition. @see #singularThreshold(SingularValueDecomposition_F64) @param svd A precomputed decomposition. Not modified. @param threshold Tolerance used to determine of a singular value is singular. @return The rank of the decomposed matrix.
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java#L608-L621
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java
SingularOps_DDRM.nullity
public static int nullity(SingularValueDecomposition_F64 svd , double threshold ) { int ret = 0; double w[]= svd.getSingularValues(); int N = svd.numberOfSingularValues(); int numCol = svd.numCols(); for( int j = 0; j < N; j++ ) { if( w[j] <= threshold) ret++; } return ret + numCol-N; }
java
public static int nullity(SingularValueDecomposition_F64 svd , double threshold ) { int ret = 0; double w[]= svd.getSingularValues(); int N = svd.numberOfSingularValues(); int numCol = svd.numCols(); for( int j = 0; j < N; j++ ) { if( w[j] <= threshold) ret++; } return ret + numCol-N; }
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Extracts the nullity of a matrix using a preexisting decomposition. @see #singularThreshold(SingularValueDecomposition_F64) @param svd A precomputed decomposition. Not modified. @param threshold Tolerance used to determine of a singular value is singular. @return The nullity of the decomposed matrix.
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/row/SingularOps_DDRM.java#L645-L658
train
lessthanoptimal/ejml
main/ejml-simple/src/org/ejml/simple/SimpleSVD.java
SimpleSVD.getSingularValues
public double[] getSingularValues() { double ret[] = new double[W.numCols()]; for (int i = 0; i < ret.length; i++) { ret[i] = getSingleValue(i); } return ret; }
java
public double[] getSingularValues() { double ret[] = new double[W.numCols()]; for (int i = 0; i < ret.length; i++) { ret[i] = getSingleValue(i); } return ret; }
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Returns an array of all the singular values
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-simple/src/org/ejml/simple/SimpleSVD.java#L176-L183
train
lessthanoptimal/ejml
main/ejml-simple/src/org/ejml/simple/SimpleSVD.java
SimpleSVD.rank
public int rank() { if( is64 ) { return SingularOps_DDRM.rank((SingularValueDecomposition_F64)svd, tol); } else { return SingularOps_FDRM.rank((SingularValueDecomposition_F32)svd, (float)tol); } }
java
public int rank() { if( is64 ) { return SingularOps_DDRM.rank((SingularValueDecomposition_F64)svd, tol); } else { return SingularOps_FDRM.rank((SingularValueDecomposition_F32)svd, (float)tol); } }
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Returns the rank of the decomposed matrix. @see SingularOps_DDRM#rank(SingularValueDecomposition_F64, double) @return The matrix's rank
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-simple/src/org/ejml/simple/SimpleSVD.java#L192-L198
train
lessthanoptimal/ejml
main/ejml-simple/src/org/ejml/simple/SimpleSVD.java
SimpleSVD.nullity
public int nullity() { if( is64 ) { return SingularOps_DDRM.nullity((SingularValueDecomposition_F64)svd, 10.0 * UtilEjml.EPS); } else { return SingularOps_FDRM.nullity((SingularValueDecomposition_F32)svd, 5.0f * UtilEjml.F_EPS); } }
java
public int nullity() { if( is64 ) { return SingularOps_DDRM.nullity((SingularValueDecomposition_F64)svd, 10.0 * UtilEjml.EPS); } else { return SingularOps_FDRM.nullity((SingularValueDecomposition_F32)svd, 5.0f * UtilEjml.F_EPS); } }
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The nullity of the decomposed matrix. @see SingularOps_DDRM#nullity(SingularValueDecomposition_F64, double) @return The matrix's nullity
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-simple/src/org/ejml/simple/SimpleSVD.java#L207-L213
train
lessthanoptimal/ejml
main/ejml-simple/src/org/ejml/equation/ManagerFunctions.java
ManagerFunctions.isFunctionName
public boolean isFunctionName( String s ) { if( input1.containsKey(s)) return true; if( inputN.containsKey(s)) return true; return false; }
java
public boolean isFunctionName( String s ) { if( input1.containsKey(s)) return true; if( inputN.containsKey(s)) return true; return false; }
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Returns true if the string matches the name of a function
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-simple/src/org/ejml/equation/ManagerFunctions.java#L47-L54
train
lessthanoptimal/ejml
main/ejml-simple/src/org/ejml/equation/ManagerFunctions.java
ManagerFunctions.create
public Operation.Info create( char op , Variable input ) { switch( op ) { case '\'': return Operation.transpose(input, managerTemp); default: throw new RuntimeException("Unknown operation " + op); } }
java
public Operation.Info create( char op , Variable input ) { switch( op ) { case '\'': return Operation.transpose(input, managerTemp); default: throw new RuntimeException("Unknown operation " + op); } }
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Create a new instance of a single input function from an operator character @param op Which operation @param input Input variable @return Resulting operation
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-simple/src/org/ejml/equation/ManagerFunctions.java#L88-L96
train
lessthanoptimal/ejml
main/ejml-simple/src/org/ejml/equation/ManagerFunctions.java
ManagerFunctions.create
public Operation.Info create( Symbol op , Variable left , Variable right ) { switch( op ) { case PLUS: return Operation.add(left, right, managerTemp); case MINUS: return Operation.subtract(left, right, managerTemp); case TIMES: return Operation.multiply(left, right, managerTemp); case RDIVIDE: return Operation.divide(left, right, managerTemp); case LDIVIDE: return Operation.divide(right, left, managerTemp); case POWER: return Operation.pow(left, right, managerTemp); case ELEMENT_DIVIDE: return Operation.elementDivision(left, right, managerTemp); case ELEMENT_TIMES: return Operation.elementMult(left, right, managerTemp); case ELEMENT_POWER: return Operation.elementPow(left, right, managerTemp); default: throw new RuntimeException("Unknown operation " + op); } }
java
public Operation.Info create( Symbol op , Variable left , Variable right ) { switch( op ) { case PLUS: return Operation.add(left, right, managerTemp); case MINUS: return Operation.subtract(left, right, managerTemp); case TIMES: return Operation.multiply(left, right, managerTemp); case RDIVIDE: return Operation.divide(left, right, managerTemp); case LDIVIDE: return Operation.divide(right, left, managerTemp); case POWER: return Operation.pow(left, right, managerTemp); case ELEMENT_DIVIDE: return Operation.elementDivision(left, right, managerTemp); case ELEMENT_TIMES: return Operation.elementMult(left, right, managerTemp); case ELEMENT_POWER: return Operation.elementPow(left, right, managerTemp); default: throw new RuntimeException("Unknown operation " + op); } }
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Create a new instance of a two input function from an operator character @param op Which operation @param left Input variable on left @param right Input variable on right @return Resulting operation
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-simple/src/org/ejml/equation/ManagerFunctions.java#L105-L137
train
lessthanoptimal/ejml
main/ejml-dsparse/src/org/ejml/sparse/csc/misc/ColumnCounts_DSCC.java
ColumnCounts_DSCC.initialize
void initialize(DMatrixSparseCSC A) { m = A.numRows; n = A.numCols; int s = 4*n + (ata ? (n+m+1) : 0); gw.reshape(s); w = gw.data; // compute the transpose of A At.reshape(A.numCols,A.numRows,A.nz_length); CommonOps_DSCC.transpose(A,At,gw); // initialize w Arrays.fill(w,0,s,-1); // assign all values in workspace to -1 ancestor = 0; maxfirst = n; prevleaf = 2*n; first = 3*n; }
java
void initialize(DMatrixSparseCSC A) { m = A.numRows; n = A.numCols; int s = 4*n + (ata ? (n+m+1) : 0); gw.reshape(s); w = gw.data; // compute the transpose of A At.reshape(A.numCols,A.numRows,A.nz_length); CommonOps_DSCC.transpose(A,At,gw); // initialize w Arrays.fill(w,0,s,-1); // assign all values in workspace to -1 ancestor = 0; maxfirst = n; prevleaf = 2*n; first = 3*n; }
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Initializes class data structures and parameters
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-dsparse/src/org/ejml/sparse/csc/misc/ColumnCounts_DSCC.java#L74-L93
train
lessthanoptimal/ejml
main/ejml-dsparse/src/org/ejml/sparse/csc/misc/ColumnCounts_DSCC.java
ColumnCounts_DSCC.process
public void process(DMatrixSparseCSC A , int parent[], int post[], int counts[] ) { if( counts.length < A.numCols ) throw new IllegalArgumentException("counts must be at least of length A.numCols"); initialize(A); int delta[] = counts; findFirstDescendant(parent, post, delta); if( ata ) { init_ata(post); } for (int i = 0; i < n; i++) w[ancestor+i] = i; int[] ATp = At.col_idx; int []ATi = At.nz_rows; for (int k = 0; k < n; k++) { int j = post[k]; if( parent[j] != -1 ) delta[parent[j]]--; // j is not a root for (int J = HEAD(k,j); J != -1; J = NEXT(J)) { for (int p = ATp[J]; p < ATp[J+1]; p++) { int i = ATi[p]; int q = isLeaf(i,j); if( jleaf >= 1) delta[j]++; if( jleaf == 2 ) delta[q]--; } } if( parent[j] != -1 ) w[ancestor+j] = parent[j]; } // sum up delta's of each child for ( int j = 0; j < n; j++) { if( parent[j] != -1) counts[parent[j]] += counts[j]; } }
java
public void process(DMatrixSparseCSC A , int parent[], int post[], int counts[] ) { if( counts.length < A.numCols ) throw new IllegalArgumentException("counts must be at least of length A.numCols"); initialize(A); int delta[] = counts; findFirstDescendant(parent, post, delta); if( ata ) { init_ata(post); } for (int i = 0; i < n; i++) w[ancestor+i] = i; int[] ATp = At.col_idx; int []ATi = At.nz_rows; for (int k = 0; k < n; k++) { int j = post[k]; if( parent[j] != -1 ) delta[parent[j]]--; // j is not a root for (int J = HEAD(k,j); J != -1; J = NEXT(J)) { for (int p = ATp[J]; p < ATp[J+1]; p++) { int i = ATi[p]; int q = isLeaf(i,j); if( jleaf >= 1) delta[j]++; if( jleaf == 2 ) delta[q]--; } } if( parent[j] != -1 ) w[ancestor+j] = parent[j]; } // sum up delta's of each child for ( int j = 0; j < n; j++) { if( parent[j] != -1) counts[parent[j]] += counts[j]; } }
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Processes and computes column counts of A @param A (Input) Upper triangular matrix @param parent (Input) Elimination tree. @param post (Input) Post order permutation of elimination tree. See {@link TriangularSolver_DSCC#postorder} @param counts (Output) Storage for column counts.
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-dsparse/src/org/ejml/sparse/csc/misc/ColumnCounts_DSCC.java#L103-L143
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/row/DMatrixVisualization.java
DMatrixVisualization.show
public static void show(DMatrixD1 A , String title ) { JFrame frame = new JFrame(title); int width = 300; int height = 300; if( A.numRows > A.numCols) { width = width*A.numCols/A.numRows; } else { height = height*A.numRows/A.numCols; } DMatrixComponent panel = new DMatrixComponent(width,height); panel.setMatrix(A); frame.add(panel, BorderLayout.CENTER); frame.pack(); frame.setVisible(true); }
java
public static void show(DMatrixD1 A , String title ) { JFrame frame = new JFrame(title); int width = 300; int height = 300; if( A.numRows > A.numCols) { width = width*A.numCols/A.numRows; } else { height = height*A.numRows/A.numCols; } DMatrixComponent panel = new DMatrixComponent(width,height); panel.setMatrix(A); frame.add(panel, BorderLayout.CENTER); frame.pack(); frame.setVisible(true); }
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Creates a window visually showing the matrix's state. Block means an element is zero. Red positive and blue negative. More intense the color larger the element's absolute value is. @param A A matrix. @param title Name of the window.
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/row/DMatrixVisualization.java#L48-L68
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/row/decomposition/eig/EigenvalueSmall_F64.java
EigenvalueSmall_F64.value2x2
public void value2x2( double a11 , double a12, double a21 , double a22 ) { // apply a rotators such that th a11 and a22 elements are the same double c,s; if( a12 + a21 == 0 ) { // is this pointless since c = s = 1.0 / Math.sqrt(2); } else { double aa = (a11-a22); double bb = (a12+a21); double t_hat = aa/bb; double t = t_hat/(1.0 + Math.sqrt(1.0+t_hat*t_hat)); c = 1.0/ Math.sqrt(1.0+t*t); s = c*t; } double c2 = c*c; double s2 = s*s; double cs = c*s; double b11 = c2*a11 + s2*a22 - cs*(a12+a21); double b12 = c2*a12 - s2*a21 + cs*(a11-a22); double b21 = c2*a21 - s2*a12 + cs*(a11-a22); // double b22 = c2*a22 + s2*a11 + cs*(a12+a21); // apply second rotator to make A upper triangular if real eigenvalues if( b21*b12 >= 0 ) { if( b12 == 0 ) { c = 0; s = 1; } else { s = Math.sqrt(b21/(b12+b21)); c = Math.sqrt(b12/(b12+b21)); } // c2 = b12;//c*c; // s2 = b21;//s*s; cs = c*s; a11 = b11 - cs*(b12 + b21); // a12 = c2*b12 - s2*b21; // a21 = c2*b21 - s2*b12; a22 = b11 + cs*(b12 + b21); value0.real = a11; value1.real = a22; value0.imaginary = value1.imaginary = 0; } else { value0.real = value1.real = b11; value0.imaginary = Math.sqrt(-b21*b12); value1.imaginary = -value0.imaginary; } }
java
public void value2x2( double a11 , double a12, double a21 , double a22 ) { // apply a rotators such that th a11 and a22 elements are the same double c,s; if( a12 + a21 == 0 ) { // is this pointless since c = s = 1.0 / Math.sqrt(2); } else { double aa = (a11-a22); double bb = (a12+a21); double t_hat = aa/bb; double t = t_hat/(1.0 + Math.sqrt(1.0+t_hat*t_hat)); c = 1.0/ Math.sqrt(1.0+t*t); s = c*t; } double c2 = c*c; double s2 = s*s; double cs = c*s; double b11 = c2*a11 + s2*a22 - cs*(a12+a21); double b12 = c2*a12 - s2*a21 + cs*(a11-a22); double b21 = c2*a21 - s2*a12 + cs*(a11-a22); // double b22 = c2*a22 + s2*a11 + cs*(a12+a21); // apply second rotator to make A upper triangular if real eigenvalues if( b21*b12 >= 0 ) { if( b12 == 0 ) { c = 0; s = 1; } else { s = Math.sqrt(b21/(b12+b21)); c = Math.sqrt(b12/(b12+b21)); } // c2 = b12;//c*c; // s2 = b21;//s*s; cs = c*s; a11 = b11 - cs*(b12 + b21); // a12 = c2*b12 - s2*b21; // a21 = c2*b21 - s2*b12; a22 = b11 + cs*(b12 + b21); value0.real = a11; value1.real = a22; value0.imaginary = value1.imaginary = 0; } else { value0.real = value1.real = b11; value0.imaginary = Math.sqrt(-b21*b12); value1.imaginary = -value0.imaginary; } }
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if |a11-a22| >> |a12+a21| there might be a better way. see pg371
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/row/decomposition/eig/EigenvalueSmall_F64.java#L33-L89
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/row/decomposition/eig/EigenvalueSmall_F64.java
EigenvalueSmall_F64.value2x2_fast
public void value2x2_fast( double a11 , double a12, double a21 , double a22 ) { double left = (a11+a22)/2.0; double inside = 4.0*a12*a21 + (a11-a22)*(a11-a22); if( inside < 0 ) { value0.real = value1.real = left; value0.imaginary = Math.sqrt(-inside)/2.0; value1.imaginary = -value0.imaginary; } else { double right = Math.sqrt(inside)/2.0; value0.real = (left+right); value1.real = (left-right); value0.imaginary = value1.imaginary = 0.0; } }
java
public void value2x2_fast( double a11 , double a12, double a21 , double a22 ) { double left = (a11+a22)/2.0; double inside = 4.0*a12*a21 + (a11-a22)*(a11-a22); if( inside < 0 ) { value0.real = value1.real = left; value0.imaginary = Math.sqrt(-inside)/2.0; value1.imaginary = -value0.imaginary; } else { double right = Math.sqrt(inside)/2.0; value0.real = (left+right); value1.real = (left-right); value0.imaginary = value1.imaginary = 0.0; } }
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Computes the eigenvalues of a 2 by 2 matrix using a faster but more prone to errors method. This is the typical method.
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/row/decomposition/eig/EigenvalueSmall_F64.java#L95-L110
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/row/decomposition/eig/EigenvalueSmall_F64.java
EigenvalueSmall_F64.symm2x2_fast
public void symm2x2_fast( double a11 , double a12, double a22 ) { // double p = (a11 - a22)*0.5; // double r = Math.sqrt(p*p + a12*a12); // // value0.real = a22 + a12*a12/(r-p); // value1.real = a22 - a12*a12/(r+p); // } // // public void symm2x2_std( double a11 , double a12, double a22 ) // { double left = (a11+a22)*0.5; double b = (a11-a22)*0.5; double right = Math.sqrt(b*b+a12*a12); value0.real = left + right; value1.real = left - right; }
java
public void symm2x2_fast( double a11 , double a12, double a22 ) { // double p = (a11 - a22)*0.5; // double r = Math.sqrt(p*p + a12*a12); // // value0.real = a22 + a12*a12/(r-p); // value1.real = a22 - a12*a12/(r+p); // } // // public void symm2x2_std( double a11 , double a12, double a22 ) // { double left = (a11+a22)*0.5; double b = (a11-a22)*0.5; double right = Math.sqrt(b*b+a12*a12); value0.real = left + right; value1.real = left - right; }
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See page 385 of Fundamentals of Matrix Computations 2nd
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/row/decomposition/eig/EigenvalueSmall_F64.java#L116-L132
train
lessthanoptimal/ejml
main/ejml-experimental/benchmarks/src/org/ejml/dense/row/mult/BenchmarkMatrixMultAccessors.java
BenchmarkMatrixMultAccessors.wrapped
public static long wrapped(DMatrixRMaj a , DMatrixRMaj b , DMatrixRMaj c ) { long timeBefore = System.currentTimeMillis(); double valA; int indexCbase= 0; int endOfKLoop = b.numRows*b.numCols; for( int i = 0; i < a.numRows; i++ ) { int indexA = i*a.numCols; // need to assign dataC to a value initially int indexB = 0; int indexC = indexCbase; int end = indexB + b.numCols; valA = a.get(indexA++); while( indexB < end ) { c.set( indexC++ , valA*b.get(indexB++)); } // now add to it while( indexB != endOfKLoop ) { // k loop indexC = indexCbase; end = indexB + b.numCols; valA = a.get(indexA++); while( indexB < end ) { // j loop c.plus( indexC++ , valA*b.get(indexB++)); } } indexCbase += c.numCols; } return System.currentTimeMillis() - timeBefore; }
java
public static long wrapped(DMatrixRMaj a , DMatrixRMaj b , DMatrixRMaj c ) { long timeBefore = System.currentTimeMillis(); double valA; int indexCbase= 0; int endOfKLoop = b.numRows*b.numCols; for( int i = 0; i < a.numRows; i++ ) { int indexA = i*a.numCols; // need to assign dataC to a value initially int indexB = 0; int indexC = indexCbase; int end = indexB + b.numCols; valA = a.get(indexA++); while( indexB < end ) { c.set( indexC++ , valA*b.get(indexB++)); } // now add to it while( indexB != endOfKLoop ) { // k loop indexC = indexCbase; end = indexB + b.numCols; valA = a.get(indexA++); while( indexB < end ) { // j loop c.plus( indexC++ , valA*b.get(indexB++)); } } indexCbase += c.numCols; } return System.currentTimeMillis() - timeBefore; }
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Wrapper functions with no bounds checking are used to access matrix internals
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-experimental/benchmarks/src/org/ejml/dense/row/mult/BenchmarkMatrixMultAccessors.java#L83-L119
train
lessthanoptimal/ejml
main/ejml-experimental/benchmarks/src/org/ejml/dense/row/mult/BenchmarkMatrixMultAccessors.java
BenchmarkMatrixMultAccessors.access2d
public static long access2d(DMatrixRMaj a , DMatrixRMaj b , DMatrixRMaj c ) { long timeBefore = System.currentTimeMillis(); for( int i = 0; i < a.numRows; i++ ) { for( int j = 0; j < b.numCols; j++ ) { c.set(i,j,a.get(i,0)*b.get(0,j)); } for( int k = 1; k < b.numRows; k++ ) { for( int j = 0; j < b.numCols; j++ ) { // c.set(i,j, c.get(i,j) + a.get(i,k)*b.get(k,j)); c.data[i*b.numCols+j] +=a.get(i,k)*b.get(k,j); } } } return System.currentTimeMillis() - timeBefore; }
java
public static long access2d(DMatrixRMaj a , DMatrixRMaj b , DMatrixRMaj c ) { long timeBefore = System.currentTimeMillis(); for( int i = 0; i < a.numRows; i++ ) { for( int j = 0; j < b.numCols; j++ ) { c.set(i,j,a.get(i,0)*b.get(0,j)); } for( int k = 1; k < b.numRows; k++ ) { for( int j = 0; j < b.numCols; j++ ) { // c.set(i,j, c.get(i,j) + a.get(i,k)*b.get(k,j)); c.data[i*b.numCols+j] +=a.get(i,k)*b.get(k,j); } } } return System.currentTimeMillis() - timeBefore; }
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Only sets and gets that are by row and column are used.
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-experimental/benchmarks/src/org/ejml/dense/row/mult/BenchmarkMatrixMultAccessors.java#L124-L143
train
lessthanoptimal/ejml
main/ejml-core/src/org/ejml/FancyPrint.java
FancyPrint.p
public String p(double value ) { return UtilEjml.fancyString(value,format,false,length,significant); }
java
public String p(double value ) { return UtilEjml.fancyString(value,format,false,length,significant); }
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Fancy print without a space added to positive numbers
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-core/src/org/ejml/FancyPrint.java#L61-L63
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/row/decomposition/eig/symm/SymmetricQrAlgorithm_DDRM.java
SymmetricQrAlgorithm_DDRM.process
public boolean process( int sideLength, double diag[] , double off[] , double eigenvalues[] ) { if( diag != null ) helper.init(diag,off,sideLength); if( Q == null ) Q = CommonOps_DDRM.identity(helper.N); helper.setQ(Q); this.followingScript = true; this.eigenvalues = eigenvalues; this.fastEigenvalues = false; return _process(); }
java
public boolean process( int sideLength, double diag[] , double off[] , double eigenvalues[] ) { if( diag != null ) helper.init(diag,off,sideLength); if( Q == null ) Q = CommonOps_DDRM.identity(helper.N); helper.setQ(Q); this.followingScript = true; this.eigenvalues = eigenvalues; this.fastEigenvalues = false; return _process(); }
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Computes the eigenvalue of the provided tridiagonal matrix. Note that only the upper portion needs to be tridiagonal. The bottom diagonal is assumed to be the same as the top. @param sideLength Number of rows and columns in the input matrix. @param diag Diagonal elements from tridiagonal matrix. Modified. @param off Off diagonal elements from tridiagonal matrix. Modified. @return true if it succeeds and false if it fails.
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/row/decomposition/eig/symm/SymmetricQrAlgorithm_DDRM.java#L111-L126
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/row/decomposition/eig/symm/SymmetricQrAlgorithm_DDRM.java
SymmetricQrAlgorithm_DDRM.performStep
public void performStep() { // check for zeros for( int i = helper.x2-1; i >= helper.x1; i-- ) { if( helper.isZero(i) ) { helper.splits[helper.numSplits++] = i; helper.x1 = i+1; return; } } double lambda; if( followingScript ) { if( helper.steps > 10 ) { followingScript = false; return; } else { // Using the true eigenvalues will in general lead to the fastest convergence // typically takes 1 or 2 steps lambda = eigenvalues[helper.x2]; } } else { // the current eigenvalue isn't working so try something else lambda = helper.computeShift(); } // similar transforms helper.performImplicitSingleStep(lambda,false); }
java
public void performStep() { // check for zeros for( int i = helper.x2-1; i >= helper.x1; i-- ) { if( helper.isZero(i) ) { helper.splits[helper.numSplits++] = i; helper.x1 = i+1; return; } } double lambda; if( followingScript ) { if( helper.steps > 10 ) { followingScript = false; return; } else { // Using the true eigenvalues will in general lead to the fastest convergence // typically takes 1 or 2 steps lambda = eigenvalues[helper.x2]; } } else { // the current eigenvalue isn't working so try something else lambda = helper.computeShift(); } // similar transforms helper.performImplicitSingleStep(lambda,false); }
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First looks for zeros and then performs the implicit single step in the QR Algorithm.
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/row/decomposition/eig/symm/SymmetricQrAlgorithm_DDRM.java#L177-L205
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/row/misc/TransposeAlgs_DDRM.java
TransposeAlgs_DDRM.block
public static void block(DMatrix1Row A , DMatrix1Row A_tran , final int blockLength ) { for( int i = 0; i < A.numRows; i += blockLength ) { int blockHeight = Math.min( blockLength , A.numRows - i); int indexSrc = i*A.numCols; int indexDst = i; for( int j = 0; j < A.numCols; j += blockLength ) { int blockWidth = Math.min( blockLength , A.numCols - j); // int indexSrc = i*A.numCols + j; // int indexDst = j*A_tran.numCols + i; int indexSrcEnd = indexSrc + blockWidth; // for( int l = 0; l < blockWidth; l++ , indexSrc++ ) { for( ; indexSrc < indexSrcEnd; indexSrc++ ) { int rowSrc = indexSrc; int rowDst = indexDst; int end = rowDst + blockHeight; // for( int k = 0; k < blockHeight; k++ , rowSrc += A.numCols ) { for( ; rowDst < end; rowSrc += A.numCols ) { // faster to write in sequence than to read in sequence A_tran.data[ rowDst++ ] = A.data[ rowSrc ]; } indexDst += A_tran.numCols; } } } }
java
public static void block(DMatrix1Row A , DMatrix1Row A_tran , final int blockLength ) { for( int i = 0; i < A.numRows; i += blockLength ) { int blockHeight = Math.min( blockLength , A.numRows - i); int indexSrc = i*A.numCols; int indexDst = i; for( int j = 0; j < A.numCols; j += blockLength ) { int blockWidth = Math.min( blockLength , A.numCols - j); // int indexSrc = i*A.numCols + j; // int indexDst = j*A_tran.numCols + i; int indexSrcEnd = indexSrc + blockWidth; // for( int l = 0; l < blockWidth; l++ , indexSrc++ ) { for( ; indexSrc < indexSrcEnd; indexSrc++ ) { int rowSrc = indexSrc; int rowDst = indexDst; int end = rowDst + blockHeight; // for( int k = 0; k < blockHeight; k++ , rowSrc += A.numCols ) { for( ; rowDst < end; rowSrc += A.numCols ) { // faster to write in sequence than to read in sequence A_tran.data[ rowDst++ ] = A.data[ rowSrc ]; } indexDst += A_tran.numCols; } } } }
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Performs a transpose across block sub-matrices. Reduces the number of cache misses on larger matrices. *NOTE* If this is beneficial is highly dependent on the computer it is run on. e.g: - Q6600 Almost twice as fast as standard. - Pentium-M Same speed and some times a bit slower than standard. @param A Original matrix. Not modified. @param A_tran Transposed matrix. Modified. @param blockLength Length of a block.
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/row/misc/TransposeAlgs_DDRM.java#L65-L95
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/generic/GenericMatrixOps_F64.java
GenericMatrixOps_F64.isIdentity
public static boolean isIdentity(DMatrix a , double tol ) { for( int i = 0; i < a.getNumRows(); i++ ) { for( int j = 0; j < a.getNumCols(); j++ ) { if( i == j ) { if( Math.abs(a.get(i,j)-1.0) > tol ) return false; } else { if( Math.abs(a.get(i,j)) > tol ) return false; } } } return true; }
java
public static boolean isIdentity(DMatrix a , double tol ) { for( int i = 0; i < a.getNumRows(); i++ ) { for( int j = 0; j < a.getNumCols(); j++ ) { if( i == j ) { if( Math.abs(a.get(i,j)-1.0) > tol ) return false; } else { if( Math.abs(a.get(i,j)) > tol ) return false; } } } return true; }
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Returns true if the provided matrix is has a value of 1 along the diagonal elements and zero along all the other elements. @param a Matrix being inspected. @param tol How close to zero or one each element needs to be. @return If it is within tolerance to an identity matrix.
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/generic/GenericMatrixOps_F64.java#L63-L77
train
lessthanoptimal/ejml
main/ejml-dsparse/src/org/ejml/sparse/csc/decomposition/qr/QrHelperFunctions_DSCC.java
QrHelperFunctions_DSCC.computeHouseholder
public static double computeHouseholder(double []x , int xStart , int xEnd , double max , DScalar gamma ) { double tau = 0; for (int i = xStart; i < xEnd ; i++) { double val = x[i] /= max; tau += val*val; } tau = Math.sqrt(tau); if( x[xStart] < 0 ) { tau = -tau; } double u_0 = x[xStart] + tau; gamma.value = u_0/tau; x[xStart] = 1; for (int i = xStart+1; i < xEnd ; i++) { x[i] /= u_0; } return -tau*max; }
java
public static double computeHouseholder(double []x , int xStart , int xEnd , double max , DScalar gamma ) { double tau = 0; for (int i = xStart; i < xEnd ; i++) { double val = x[i] /= max; tau += val*val; } tau = Math.sqrt(tau); if( x[xStart] < 0 ) { tau = -tau; } double u_0 = x[xStart] + tau; gamma.value = u_0/tau; x[xStart] = 1; for (int i = xStart+1; i < xEnd ; i++) { x[i] /= u_0; } return -tau*max; }
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Creates a householder reflection. (I-gamma*v*v')*x = tau*e1 <p>NOTE: Same as cs_house in csparse</p> @param x (Input) Vector x (Output) Vector v. Modified. @param xStart First index in X that is to be processed @param xEnd Last + 1 index in x that is to be processed. @param gamma (Output) Storage for computed gamma @return variable tau
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-dsparse/src/org/ejml/sparse/csc/decomposition/qr/QrHelperFunctions_DSCC.java#L110-L128
train
lessthanoptimal/ejml
main/ejml-experimental/benchmarks/src/org/ejml/BenchmarkInliningGetSet.java
BenchmarkInliningGetSet.get1D
public static long get1D(DMatrixRMaj A , int n ) { long before = System.currentTimeMillis(); double total = 0; for( int iter = 0; iter < n; iter++ ) { int index = 0; for( int i = 0; i < A.numRows; i++ ) { int end = index+A.numCols; while( index != end ) { total += A.get(index++); } } } long after = System.currentTimeMillis(); // print to ensure that ensure that an overly smart compiler does not optimize out // the whole function and to show that both produce the same results. System.out.println(total); return after-before; }
java
public static long get1D(DMatrixRMaj A , int n ) { long before = System.currentTimeMillis(); double total = 0; for( int iter = 0; iter < n; iter++ ) { int index = 0; for( int i = 0; i < A.numRows; i++ ) { int end = index+A.numCols; while( index != end ) { total += A.get(index++); } } } long after = System.currentTimeMillis(); // print to ensure that ensure that an overly smart compiler does not optimize out // the whole function and to show that both produce the same results. System.out.println(total); return after-before; }
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Get by index is used here.
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-experimental/benchmarks/src/org/ejml/BenchmarkInliningGetSet.java#L91-L115
train
lessthanoptimal/ejml
main/ejml-ddense/src/org/ejml/dense/block/decomposition/qr/QRDecompositionHouseholder_DDRB.java
QRDecompositionHouseholder_DDRB.initializeQ
public static DMatrixRBlock initializeQ(DMatrixRBlock Q, int numRows , int numCols , int blockLength , boolean compact) { int minLength = Math.min(numRows,numCols); if( compact ) { if( Q == null ) { Q = new DMatrixRBlock(numRows,minLength,blockLength); MatrixOps_DDRB.setIdentity(Q); } else { if( Q.numRows != numRows || Q.numCols != minLength ) { throw new IllegalArgumentException("Unexpected matrix dimension. Found "+Q.numRows+" "+Q.numCols); } else { MatrixOps_DDRB.setIdentity(Q); } } } else { if( Q == null ) { Q = new DMatrixRBlock(numRows,numRows,blockLength); MatrixOps_DDRB.setIdentity(Q); } else { if( Q.numRows != numRows || Q.numCols != numRows ) { throw new IllegalArgumentException("Unexpected matrix dimension. Found "+Q.numRows+" "+Q.numCols); } else { MatrixOps_DDRB.setIdentity(Q); } } } return Q; }
java
public static DMatrixRBlock initializeQ(DMatrixRBlock Q, int numRows , int numCols , int blockLength , boolean compact) { int minLength = Math.min(numRows,numCols); if( compact ) { if( Q == null ) { Q = new DMatrixRBlock(numRows,minLength,blockLength); MatrixOps_DDRB.setIdentity(Q); } else { if( Q.numRows != numRows || Q.numCols != minLength ) { throw new IllegalArgumentException("Unexpected matrix dimension. Found "+Q.numRows+" "+Q.numCols); } else { MatrixOps_DDRB.setIdentity(Q); } } } else { if( Q == null ) { Q = new DMatrixRBlock(numRows,numRows,blockLength); MatrixOps_DDRB.setIdentity(Q); } else { if( Q.numRows != numRows || Q.numCols != numRows ) { throw new IllegalArgumentException("Unexpected matrix dimension. Found "+Q.numRows+" "+Q.numCols); } else { MatrixOps_DDRB.setIdentity(Q); } } } return Q; }
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Sanity checks the input or declares a new matrix. Return matrix is an identity matrix.
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1444680cc487af5e866730e62f48f5f9636850d9
https://github.com/lessthanoptimal/ejml/blob/1444680cc487af5e866730e62f48f5f9636850d9/main/ejml-ddense/src/org/ejml/dense/block/decomposition/qr/QRDecompositionHouseholder_DDRB.java#L124-L152
train