73 lines
1.6 KiB
Python
Executable File
73 lines
1.6 KiB
Python
Executable File
get_context().dataManager.openOutput()
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print "Data file: " + get_context().dataManager.output
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#Writing scalar values (datasets with rank 0)
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save_dataset("group/val1", 1)
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save_dataset("group/val2", 3.14)
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save_dataset("group/val3", "test")
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print load_data("group/val1")
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print load_data("group/val2")
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print load_data("group/val3")
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data1d = [1,2,3,4,5]
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path="group/data1"
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save_dataset(path, data1d)
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read =load_data(path)
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print read.tolist()
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#plot(read)
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data2d = [ [1,2,3,4,5], [2,3,4,5,6], [3,4,5,6,7]]
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path="group/data2"
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save_dataset(path, data2d)
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set_attribute(path, "AttrString", "Value")
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set_attribute(path, "AttrInteger", 1)
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set_attribute(path, "AttrDouble", 2.0)
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set_attribute(path, "AttrBoolean", True)
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read =load_data(path)
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print read.tolist()
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plot(read)
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data3d = [ [ [1,2,3,4,5], [2,3,4,5,6], [3,4,5,6,7]], [ [3,2,3,4,5], [4,3,4,5,6], [5,4,5,6,7]]]
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path="group/data3"
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save_dataset(path, data3d)
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read =load_data(path,0)
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print read.tolist()
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read =load_data(path,1)
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print read.tolist()
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path = "group/data4"
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create_dataset(path, 'i')
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for i in range(10):
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append_dataset(path,i)
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path = "group/data5"
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create_dataset(path, 'd', False, (0,0))
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for row in data2d:
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append_dataset(path, row)
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path = "group/data6"
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names = ["a", "b", "c", "d"]
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types = ["d", "d", "d", "[d"]
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dims = [0,0,0,5]
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table = [ [1,2,3,[0,1,2,3,4]],
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[2,3,4,[3,4,5,6,7]],
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[3,4,5,[6,7,8,9,4]] ]
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create_table(path, names, types, dims)
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for row in table:
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append_table(path, row)
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flush_data()
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read =load_data(path)
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print read
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