From d6473333eab20e7e3ad4b4001ad613cea6ebcca9 Mon Sep 17 00:00:00 2001
From: markummitchell <markummitchell@gmail.com>
Date: Sat, 27 Oct 2018 10:31:39 -0700
Subject: [PATCH] Test high dynamic range log scale with four axis points for
 #296

---
 samples/sources/FourAxisLog.ods             | Bin 0 -> 28836 bytes
 test/four_axis_point_log_x.csv_expected_1   |  33 ++++++++
 test/four_axis_point_log_x.test.commandline |   1 +
 test/four_axis_point_log_x.xml              |  84 ++++++++++++++++++++
 test/four_axis_point_log_y.csv_expected_1   |  32 ++++++++
 test/four_axis_point_log_y.test.commandline |   1 +
 test/four_axis_point_log_y.xml              |  83 +++++++++++++++++++
 7 files changed, 234 insertions(+)
 create mode 100644 samples/sources/FourAxisLog.ods
 create mode 100644 test/four_axis_point_log_x.csv_expected_1
 create mode 100644 test/four_axis_point_log_x.test.commandline
 create mode 100644 test/four_axis_point_log_x.xml
 create mode 100644 test/four_axis_point_log_y.csv_expected_1
 create mode 100644 test/four_axis_point_log_y.test.commandline
 create mode 100644 test/four_axis_point_log_y.xml

diff --git a/samples/sources/FourAxisLog.ods b/samples/sources/FourAxisLog.ods
new file mode 100644
index 0000000000000000000000000000000000000000..5f56d00231a17e1182ac6b760d88e7f906d00f4c
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literal 0
HcmV?d00001

diff --git a/test/four_axis_point_log_x.csv_expected_1 b/test/four_axis_point_log_x.csv_expected_1
new file mode 100644
index 00000000..fba8187b
--- /dev/null
+++ b/test/four_axis_point_log_x.csv_expected_1
@@ -0,0 +1,33 @@
+x,Curve1
+0.0009556,-0.6016
+0.0016486,0.0813
+0.002597,0.8293
+0.004091,1.5772
+0.007058,2.2927
+0.012743,2.9756
+0.02408,3.6585
+0.0476,4.3089
+0.10308,4.8943
+0.2444,5.4146
+0.6348,5.8049
+1.8894,6.0976
+5.623,6.2276
+16.737,6.1951
+49.82,6.0325
+148.27,5.8374
+421.7,5.5447
+1199.4,5.2195
+3411,4.8943
+9702,4.5691
+2.888e+04,4.3089
+8.212e+04,4.0813
+2.444e+05,3.9512
+7.613e+05,3.8862
+2.266e+06,4.0163
+6.445e+06,4.3089
+1.6737e+07,4.6992
+3.969e+07,5.2195
+8.594e+07,5.7724
+1.6993e+08,6.4228
+3.211e+08,7.0732
+5.539e+08,7.7886
diff --git a/test/four_axis_point_log_x.test.commandline b/test/four_axis_point_log_x.test.commandline
new file mode 100644
index 00000000..bc0c4f30
--- /dev/null
+++ b/test/four_axis_point_log_x.test.commandline
@@ -0,0 +1 @@
+-errorreport ../test/four_axis_point_log_x.xml -regression -reset
diff --git a/test/four_axis_point_log_x.xml b/test/four_axis_point_log_x.xml
new file mode 100644
index 00000000..d79f77d7
--- /dev/null
+++ b/test/four_axis_point_log_x.xml
@@ -0,0 +1,84 @@
+<ErrorReport>
+ <Application VersionNumber="10.11"/>
+ <Document VersionNumber="10.11" AxesPointsRequired="1">
+  <Image Height="429" 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]]></Image>
+  <CoordSystem>
+   <General ExtraPrecision="1" CursorSize="3"/>
+   <Coords TypeString="Cartesian" UnitsYString="Number" Coords="0" ScaleYRadius="0" ScaleYRadiusString="Linear" UnitsThetaString="Degrees (DDD.DDDDD)" UnitsDateString="YYYY/MM/DD" UnitsTheta="0" UnitsRadiusString="Number" UnitsY="0" UnitsTimeString="HH:MM:SS" Type="0" UnitsDate="3" UnitsX="0" ScaleXTheta="0" UnitsRadius="0" UnitsTime="2" UnitsXString="Number" ScaleXThetaString="Linear"/>
+   <DigitizeCurve CursorLineWidth="2" CursorStandardCross="True" CursorSize="1" CursorInnerRadius="5"/>
+   <Export PointsSelectionFunctions="0" PointsSelectionRelationsString="Interpolate" PointsSelectionRelations="0" XLabel="x" HeaderString="Simple" LayoutFunctions="0" Header="1" PointsSelectionFunctionsString="InterpolateAllCurves" PointsIntervalRelations="10" PointsIntervalFunctions="10" PointsIntervalUnitsRelations="1" OverrideCsvTsv="False" PointsIntervalUnitsFunctions="1" LayoutFunctionsString="AllPerLine" Delimiter="0" DelimiterString="Commas">
+    <CurveNamesNotExported/>
+   </Export>
+   <AxesChecker Mode="1" Seconds="3" LineColor="6"/>
+   <GridDisplay StepX="1" DisableY="0" ColorString="Black" Stable="False" CountX="2" StopX="1" StepY="1" DisableX="0" StartY="0" StopY="1" CountY="2" StartX="0" Color="0"/>
+   <GridRemoval StepX="0" CloseDistance="10" Stable="False" DefinedGridLines="False" CountX="2" StopX="0" StepY="0" StartY="0" StopY="0" CountY="2" CoordDisableXString="Count" CoordDisableY="0" CoordDisableYString="Count" CoordDisableX="0" StartX="0"/>
+   <PointMatch ColorCandidate="7" ColorRejectedString="Red" ColorRejected="6" ColorAccepted="4" ColorCandidateString="Yellow" ColorAcceptedString="Green" PointSize="48"/>
+   <Segments PointSeparation="25" MinLength="2" LineColorString="Green" FillCorners="False" LineColor="4" LineWidth="4"/>
+   <Curve CurveName="Axes">
+    <ColorFilter HueHigh="360" ValueHigh="50" Mode="2" ModeString="Intensity" ForegroundHigh="10" CurveName="Axes" SaturationHigh="100" IntensityLow="0" SaturationLow="50" ValueLow="0" ForegroundLow="0" IntensityHigh="50" HueLow="180"/>
+    <CurveStyle CurveName="Axes">
+     <LineStyle ColorString="Transparent" ConnectAs="4" ConnectAsString="ConnectSkipForAxisCurve" Width="0" Color="8"/>
+     <PointStyle ColorString="Red" Radius="10" Shape="1" ShapeString="Cross" LineWidth="1" Color="6"/>
+    </CurveStyle>
+    <CurvePoints/>
+   </Curve>
+   <CurvesGraphs>
+    <Curve CurveName="Curve1">
+     <ColorFilter HueHigh="360" ValueHigh="50" Mode="2" ModeString="Intensity" ForegroundHigh="10" CurveName="Curve1" SaturationHigh="100" IntensityLow="0" SaturationLow="50" ValueLow="0" ForegroundLow="0" IntensityHigh="50" HueLow="180"/>
+     <CurveStyle CurveName="Curve1">
+      <LineStyle ColorString="Blue" ConnectAs="0" ConnectAsString="FunctionSmooth" Width="1" Color="1"/>
+      <PointStyle ColorString="Blue" Radius="10" Shape="1" ShapeString="Cross" LineWidth="1" Color="1"/>
+     </CurveStyle>
+     <CurvePoints/>
+    </Curve>
+   </CurvesGraphs>
+  </CoordSystem>
+  <OperatingSystem WordSize="64" Endian="LittleEndian"/>
+  <File Imported="True"/>
+  <CmdMediator>
+   <Cmd Description="Coordinate settings" Type="CmdSettingsCoords">
+    <Coords TypeString="Cartesian" UnitsYString="Number" Coords="0" ScaleYRadius="0" ScaleYRadiusString="Linear" UnitsThetaString="Degrees (DDD.DDDDD)" UnitsDateString="YYYY/MM/DD" UnitsTheta="0" UnitsRadiusString="Number" UnitsY="0" UnitsTimeString="HH:MM:SS" Type="0" UnitsDate="3" UnitsX="0" ScaleXTheta="0" UnitsRadius="0" UnitsTime="2" UnitsXString="Number" ScaleXThetaString="Linear"/>
+    <Coords TypeString="Cartesian" UnitsYString="Number" Coords="0" ScaleYRadius="0" ScaleYRadiusString="Linear" UnitsThetaString="Degrees (DDD.DDDDD)" UnitsDateString="YYYY/MM/DD" UnitsTheta="0" UnitsRadiusString="Number" UnitsY="0" UnitsTimeString="HH:MM:SS" Type="0" UnitsDate="3" UnitsX="0" ScaleXTheta="1" UnitsRadius="0" UnitsTime="2" UnitsXString="Number" ScaleXThetaString="Log"/>
+   </Cmd>
+   <Cmd Description="Add axis point" GraphY="0" GraphX="1" ScreenX="251" IsXOnly="True" Ordinal="1" Type="CmdAddPointAxis" ScreenY="324" Identifier="Axes&#x9;point&#x9;1"/>
+   <Cmd Description="Add axis point" GraphY="0" GraphX="1000000000" ScreenX="707" IsXOnly="True" Ordinal="2" Type="CmdAddPointAxis" ScreenY="324" Identifier="Axes&#x9;point&#x9;3"/>
+   <Cmd Description="Add axis point" GraphY="2" GraphX="0" ScreenX="99" IsXOnly="False" Ordinal="3" Type="CmdAddPointAxis" ScreenY="264" Identifier="Axes&#x9;point&#x9;5"/>
+   <Cmd Description="Add axis point" GraphY="10" GraphX="0" ScreenX="99" IsXOnly="False" Ordinal="4" Type="CmdAddPointAxis" ScreenY="18" Identifier="Axes&#x9;point&#x9;7"/>
+   <Cmd Description="Add graph points" CurveName="Curve1" Type="CmdAddPointsGraph">
+    <Point ScreenX="98" Ordinal="1" ScreenY="344" Identifier="Curve1&#x9;point&#x9;8"/>
+    <Point ScreenX="110" Ordinal="1" ScreenY="323" Identifier="Curve1&#x9;point&#x9;9"/>
+    <Point ScreenX="120" Ordinal="1" ScreenY="300" Identifier="Curve1&#x9;point&#x9;10"/>
+    <Point ScreenX="130" Ordinal="1" ScreenY="277" Identifier="Curve1&#x9;point&#x9;11"/>
+    <Point ScreenX="142" Ordinal="1" ScreenY="255" Identifier="Curve1&#x9;point&#x9;12"/>
+    <Point ScreenX="155" Ordinal="1" ScreenY="234" Identifier="Curve1&#x9;point&#x9;13"/>
+    <Point ScreenX="169" Ordinal="1" ScreenY="213" Identifier="Curve1&#x9;point&#x9;14"/>
+    <Point ScreenX="184" Ordinal="1" ScreenY="193" Identifier="Curve1&#x9;point&#x9;15"/>
+    <Point ScreenX="201" Ordinal="1" ScreenY="175" Identifier="Curve1&#x9;point&#x9;16"/>
+    <Point ScreenX="220" Ordinal="1" ScreenY="159" Identifier="Curve1&#x9;point&#x9;17"/>
+    <Point ScreenX="241" Ordinal="1" ScreenY="147" Identifier="Curve1&#x9;point&#x9;18"/>
+    <Point ScreenX="265" Ordinal="1" ScreenY="138" Identifier="Curve1&#x9;point&#x9;19"/>
+    <Point ScreenX="289" Ordinal="1" ScreenY="134" Identifier="Curve1&#x9;point&#x9;20"/>
+    <Point ScreenX="313" Ordinal="1" ScreenY="135" Identifier="Curve1&#x9;point&#x9;21"/>
+    <Point ScreenX="337" Ordinal="1" ScreenY="140" Identifier="Curve1&#x9;point&#x9;22"/>
+    <Point ScreenX="361" Ordinal="1" ScreenY="146" Identifier="Curve1&#x9;point&#x9;23"/>
+    <Point ScreenX="384" Ordinal="1" ScreenY="155" Identifier="Curve1&#x9;point&#x9;24"/>
+    <Point ScreenX="407" Ordinal="1" ScreenY="165" Identifier="Curve1&#x9;point&#x9;25"/>
+    <Point ScreenX="430" Ordinal="1" ScreenY="175" Identifier="Curve1&#x9;point&#x9;26"/>
+    <Point ScreenX="453" Ordinal="1" ScreenY="185" Identifier="Curve1&#x9;point&#x9;27"/>
+    <Point ScreenX="477" Ordinal="1" ScreenY="193" Identifier="Curve1&#x9;point&#x9;28"/>
+    <Point ScreenX="500" Ordinal="1" ScreenY="200" Identifier="Curve1&#x9;point&#x9;29"/>
+    <Point ScreenX="524" Ordinal="1" ScreenY="204" Identifier="Curve1&#x9;point&#x9;30"/>
+    <Point ScreenX="549" Ordinal="1" ScreenY="206" Identifier="Curve1&#x9;point&#x9;31"/>
+    <Point ScreenX="573" Ordinal="1" ScreenY="202" Identifier="Curve1&#x9;point&#x9;32"/>
+    <Point ScreenX="596" Ordinal="1" ScreenY="193" Identifier="Curve1&#x9;point&#x9;33"/>
+    <Point ScreenX="617" Ordinal="1" ScreenY="181" Identifier="Curve1&#x9;point&#x9;34"/>
+    <Point ScreenX="636" Ordinal="1" ScreenY="165" Identifier="Curve1&#x9;point&#x9;35"/>
+    <Point ScreenX="653" Ordinal="1" ScreenY="148" Identifier="Curve1&#x9;point&#x9;36"/>
+    <Point ScreenX="668" Ordinal="1" ScreenY="128" Identifier="Curve1&#x9;point&#x9;37"/>
+    <Point ScreenX="682" Ordinal="1" ScreenY="108" Identifier="Curve1&#x9;point&#x9;38"/>
+    <Point ScreenX="694" Ordinal="1" ScreenY="86" Identifier="Curve1&#x9;point&#x9;39"/>
+   </Cmd>
+  </CmdMediator>
+  <Error File="src/main/MainWindow.cpp" Context="Shift+Control+E" Comment="userTriggered" Line="357"/>
+ </Document>
+</ErrorReport>
diff --git a/test/four_axis_point_log_y.csv_expected_1 b/test/four_axis_point_log_y.csv_expected_1
new file mode 100644
index 00000000..af668443
--- /dev/null
+++ b/test/four_axis_point_log_y.csv_expected_1
@@ -0,0 +1,32 @@
+x,Curve1
+0.9325,0.0003008
+1.3006,0.003008
+1.5951,0.03008
+1.8896,0.3325
+2.2577,3.325
+2.589,33.25
+2.9939,332.5
+3.4356,2721
+3.9509,2.462e+04
+4.5399,1.65e+05
+5.2025,9.047e+05
+5.9755,3.325e+06
+6.8589,5.484e+06
+7.7423,5.484e+06
+8.589,2.721e+06
+9.4356,1.105e+06
+10.2454,3.325e+05
+11.0552,1e+05
+11.865,2.721e+04
+12.6748,9047
+13.5215,3675
+14.4049,2228
+15.2883,2228
+16.135,4489
+16.9448,1.65e+04
+17.5706,1e+05
+18.1227,6.7e+05
+18.638,5.484e+06
+19.0798,4.962e+07
+19.4479,4.962e+08
+19.816,4.962e+09
diff --git a/test/four_axis_point_log_y.test.commandline b/test/four_axis_point_log_y.test.commandline
new file mode 100644
index 00000000..043c5b31
--- /dev/null
+++ b/test/four_axis_point_log_y.test.commandline
@@ -0,0 +1 @@
+-errorreport ../test/four_axis_point_log_y.xml -regression -reset
diff --git a/test/four_axis_point_log_y.xml b/test/four_axis_point_log_y.xml
new file mode 100644
index 00000000..6df7d0cf
--- /dev/null
+++ b/test/four_axis_point_log_y.xml
@@ -0,0 +1,83 @@
+<ErrorReport>
+ <Application VersionNumber="10.11"/>
+ <Document VersionNumber="10.11" AxesPointsRequired="1">
+  <Image Width="690" 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]]></Image>
+  <CoordSystem>
+   <General ExtraPrecision="1" CursorSize="3"/>
+   <Coords UnitsRadiusString="Number" UnitsXString="Number" UnitsX="0" ScaleYRadius="0" ScaleXThetaString="Linear" UnitsTheta="0" ScaleXTheta="0" UnitsRadius="0" UnitsYString="Number" Type="0" Coords="0" UnitsDate="3" UnitsTimeString="HH:MM:SS" UnitsDateString="YYYY/MM/DD" ScaleYRadiusString="Linear" TypeString="Cartesian" UnitsThetaString="Degrees (DDD.DDDDD)" UnitsY="0" UnitsTime="2"/>
+   <DigitizeCurve CursorInnerRadius="5" CursorSize="1" CursorLineWidth="2" CursorStandardCross="True"/>
+   <Export DelimiterString="Commas" PointsSelectionFunctions="0" PointsIntervalFunctions="10" LayoutFunctions="0" OverrideCsvTsv="False" PointsIntervalRelations="10" Delimiter="0" Header="1" PointsSelectionRelations="0" PointsIntervalUnitsFunctions="1" LayoutFunctionsString="AllPerLine" PointsSelectionRelationsString="Interpolate" HeaderString="Simple" PointsIntervalUnitsRelations="1" PointsSelectionFunctionsString="InterpolateAllCurves" XLabel="x">
+    <CurveNamesNotExported/>
+   </Export>
+   <AxesChecker LineColor="6" Mode="1" Seconds="3"/>
+   <GridDisplay DisableY="0" Color="0" StopX="1" StartY="0" CountX="2" StopY="1" StartX="0" StepX="1" CountY="2" Stable="False" DisableX="0" StepY="1" ColorString="Black"/>
+   <GridRemoval StopX="0" StartY="0" CountX="2" CoordDisableY="0" StopY="0" StartX="0" StepX="0" CountY="2" CoordDisableXString="Count" CoordDisableYString="Count" Stable="False" CloseDistance="10" StepY="0" CoordDisableX="0" DefinedGridLines="False"/>
+   <PointMatch ColorCandidateString="Yellow" ColorRejected="6" ColorRejectedString="Red" PointSize="48" ColorAccepted="4" ColorAcceptedString="Green" ColorCandidate="7"/>
+   <Segments LineWidth="4" MinLength="2" LineColor="4" LineColorString="Green" FillCorners="False" PointSeparation="25"/>
+   <Curve CurveName="Axes">
+    <ColorFilter SaturationLow="50" IntensityHigh="50" ForegroundLow="0" HueLow="180" ValueHigh="50" ModeString="Intensity" SaturationHigh="100" Mode="2" IntensityLow="0" ForegroundHigh="10" CurveName="Axes" ValueLow="0" HueHigh="360"/>
+    <CurveStyle CurveName="Axes">
+     <LineStyle Color="8" Width="0" ColorString="Transparent" ConnectAs="4" ConnectAsString="ConnectSkipForAxisCurve"/>
+     <PointStyle Color="6" LineWidth="1" Shape="1" ShapeString="Cross" ColorString="Red" Radius="10"/>
+    </CurveStyle>
+    <CurvePoints/>
+   </Curve>
+   <CurvesGraphs>
+    <Curve CurveName="Curve1">
+     <ColorFilter SaturationLow="50" IntensityHigh="50" ForegroundLow="0" HueLow="180" ValueHigh="50" ModeString="Intensity" SaturationHigh="100" Mode="2" IntensityLow="0" ForegroundHigh="10" CurveName="Curve1" ValueLow="0" HueHigh="360"/>
+     <CurveStyle CurveName="Curve1">
+      <LineStyle Color="1" Width="1" ColorString="Blue" ConnectAs="0" ConnectAsString="FunctionSmooth"/>
+      <PointStyle Color="1" LineWidth="1" Shape="1" ShapeString="Cross" ColorString="Blue" Radius="10"/>
+     </CurveStyle>
+     <CurvePoints/>
+    </Curve>
+   </CurvesGraphs>
+  </CoordSystem>
+  <OperatingSystem WordSize="64" Endian="LittleEndian"/>
+  <File Imported="True"/>
+  <CmdMediator>
+   <Cmd Description="Coordinate settings" Type="CmdSettingsCoords">
+    <Coords UnitsRadiusString="Number" UnitsXString="Number" UnitsX="0" ScaleYRadius="0" ScaleXThetaString="Linear" UnitsTheta="0" ScaleXTheta="0" UnitsRadius="0" UnitsYString="Number" Type="0" Coords="0" UnitsDate="3" UnitsTimeString="HH:MM:SS" UnitsDateString="YYYY/MM/DD" ScaleYRadiusString="Linear" TypeString="Cartesian" UnitsThetaString="Degrees (DDD.DDDDD)" UnitsY="0" UnitsTime="2"/>
+    <Coords UnitsRadiusString="Number" UnitsXString="Number" UnitsX="0" ScaleYRadius="1" ScaleXThetaString="Linear" UnitsTheta="0" ScaleXTheta="0" UnitsRadius="0" UnitsYString="Number" Type="0" Coords="0" UnitsDate="3" UnitsTimeString="HH:MM:SS" UnitsDateString="YYYY/MM/DD" ScaleYRadiusString="Log" TypeString="Cartesian" UnitsThetaString="Degrees (DDD.DDDDD)" UnitsY="0" UnitsTime="2"/>
+   </Cmd>
+   <Cmd Description="Add axis point" Type="CmdAddPointAxis" ScreenY="346" IsXOnly="True" GraphX="2" ScreenX="182" GraphY="0" Ordinal="1" Identifier="Axes&#x9;point&#x9;1"/>
+   <Cmd Description="Add axis point" Type="CmdAddPointAxis" ScreenY="346" IsXOnly="True" GraphX="20" ScreenX="671" GraphY="0" Ordinal="2" Identifier="Axes&#x9;point&#x9;3"/>
+   <Cmd Description="Add axis point" Type="CmdAddPointAxis" ScreenY="300" IsXOnly="False" GraphX="0" ScreenX="128" GraphY="0.01" Ordinal="3" Identifier="Axes&#x9;point&#x9;5"/>
+   <Cmd Description="Add axis point" Type="CmdAddPointAxis" ScreenY="24" IsXOnly="False" GraphX="0" ScreenX="128" GraphY="10000000000" Ordinal="4" Identifier="Axes&#x9;point&#x9;7"/>
+   <Cmd Description="Add graph points" Type="CmdAddPointsGraph" CurveName="Curve1">
+    <Point ScreenY="335" ScreenX="153" Ordinal="1" Identifier="Curve1&#x9;point&#x9;8"/>
+    <Point ScreenY="312" ScreenX="163" Ordinal="1" Identifier="Curve1&#x9;point&#x9;9"/>
+    <Point ScreenY="289" ScreenX="171" Ordinal="1" Identifier="Curve1&#x9;point&#x9;10"/>
+    <Point ScreenY="265" ScreenX="179" Ordinal="1" Identifier="Curve1&#x9;point&#x9;11"/>
+    <Point ScreenY="242" ScreenX="189" Ordinal="1" Identifier="Curve1&#x9;point&#x9;12"/>
+    <Point ScreenY="219" ScreenX="198" Ordinal="1" Identifier="Curve1&#x9;point&#x9;13"/>
+    <Point ScreenY="196" ScreenX="209" Ordinal="1" Identifier="Curve1&#x9;point&#x9;14"/>
+    <Point ScreenY="175" ScreenX="221" Ordinal="1" Identifier="Curve1&#x9;point&#x9;15"/>
+    <Point ScreenY="153" ScreenX="235" Ordinal="1" Identifier="Curve1&#x9;point&#x9;16"/>
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+   </Cmd>
+  </CmdMediator>
+  <Error File="src/main/MainWindow.cpp" Line="357" Context="Shift+Control+E" Comment="userTriggered"/>
+ </Document>
+</ErrorReport>