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Orange/widgets/data/owconcatenate.py

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@@ -27,6 +27,7 @@ class OWConcatenate(widget.OWWidget):
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description = "Concatenate (append) two or more datasets."
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priority = 1111
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icon = "icons/Concatenate.svg"
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keywords = ["append", "join", "extend"]
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class Inputs:
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primary_data = Input("Primary Data", Orange.data.Table)

Orange/widgets/data/owcontinuize.py

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@@ -24,7 +24,7 @@ class OWContinuize(widget.OWWidget):
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"optionally, normalize numeric values.")
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icon = "icons/Continuize.svg"
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category = "Data"
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keywords = ["continuize"]
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keywords = []
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class Inputs:
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data = Input("Data", Orange.data.Table)

Orange/widgets/data/owdatainfo.py

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@@ -23,7 +23,7 @@ class OWDataInfo(widget.OWWidget):
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icon = "icons/DataInfo.svg"
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priority = 80
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category = "Data"
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keywords = ["data", "info"]
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keywords = ["information", "inspect"]
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class Inputs:
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data = Input("Data", Table)

Orange/widgets/data/owdatasampler.py

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@@ -22,7 +22,7 @@ class OWDataSampler(OWWidget):
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icon = "icons/DataSampler.svg"
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priority = 100
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category = "Data"
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keywords = ["data", "sample"]
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keywords = ["random"]
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_MAX_SAMPLE_SIZE = 2 ** 31 - 1
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Orange/widgets/data/owdatasets.py

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@@ -130,6 +130,7 @@ class OWDataSets(widget.OWWidget):
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icon = "icons/DataSets.svg"
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priority = 20
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replaces = ["orangecontrib.prototypes.widgets.owdatasets.OWDataSets"]
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keywords = ["online"]
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# The following constants can be overridden in a subclass
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# to reuse this widget for a different repository

Orange/widgets/data/owdiscretize.py

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@@ -127,6 +127,7 @@ class OWDiscretize(widget.OWWidget):
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name = "Discretize"
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description = "Discretize the numeric data features."
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icon = "icons/Discretize.svg"
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keywords = []
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class Inputs:
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data = Input("Data", Orange.data.Table, doc="Input data table")

Orange/widgets/data/oweditdomain.py

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@@ -401,6 +401,7 @@ class OWEditDomain(widget.OWWidget):
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description = "Rename features and their values."
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icon = "icons/EditDomain.svg"
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priority = 3125
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keywords = []
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class Inputs:
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data = Input("Data", Orange.data.Table)

Orange/widgets/data/owfeatureconstructor.py

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@@ -333,6 +333,7 @@ class OWFeatureConstructor(OWWidget):
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description = "Construct new features (data columns) from a set of " \
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"existing features in the input dataset."
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icon = "icons/FeatureConstructor.svg"
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keywords = []
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class Inputs:
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data = Input("Data", Orange.data.Table)

Orange/widgets/data/owfile.py

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@@ -77,7 +77,7 @@ class OWFile(widget.OWWidget, RecentPathsWComboMixin):
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icon = "icons/File.svg"
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priority = 10
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category = "Data"
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keywords = ["file", "load", "read"]
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keywords = ["file", "load", "read", "open"]
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class Outputs:
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data = Output("Data", Table, doc="Attribute-valued dataset read from the input file.")

Orange/widgets/data/owimpute.py

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@@ -129,6 +129,7 @@ class OWImpute(OWWidget):
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description = "Impute missing values in the data table."
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icon = "icons/Impute.svg"
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priority = 2130
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keywords = ["substitute", "missing"]
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class Inputs:
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data = Input("Data", Orange.data.Table)

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