Iterator/conftest.py at master · rparke/Iterator · GitHub

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import numpy as np


class Complete():

    def __init__(self):
        self.complete_dict = self.complete_dict()

    def __getitem__(self, key):
        return self.complete_dict[key]


    def complete_dict(self):
        complete_datasets = {"keys":self.complete_keys_dataset(), "data":self.complete_dataset()}
        return complete_datasets

    def complete_dataset(self):

        array_shape = (42,67,10,4096)

        #create complete datasets
        complete_array = np.arange(np.asarray(array_shape).prod()).reshape(array_shape)


        complete_dict = {"dset_1": complete_array}

        #dataset_dict = {"data": complete_array}
        return complete_dict

    def complete_keys_dataset(self):
        #create complete datasets
        complete_array = np.arange(2814).reshape((42,67,1,1))

        complete_dict = {"key_1":complete_array}

        #dataset_dict = {"keys": complete_array}
        return complete_dict

    def refresh(self):
        return


class Incomplete():
    def __init__(self):
        self.incomplete_dict = self.incomplete_dict()

    def __getitem__(self, key):
        return self.incomplete_dict[key]


    def incomplete_dict(self):
        incomplete_datasets = {"keys":self.incomplete_keys_dataset(), "data":self.incomplete_dataset()}
        return incomplete_datasets

    def incomplete_dataset(self):

        array_shape = (42,67,10,4096)

        #create complete datasets
        incomplete_array = np.arange(1, np.asarray(array_shape).prod()+1)
        incomplete_array[array_shape[-1]*array_shape[-2]*2000:] = 0

        incomplete_dict = {"dset_1": incomplete_array}

        #dataset_dict = {"data": complete_array}
        return incomplete_dict

    def incomplete_keys_dataset(self):
        #create complete datasets
        incomplete_array = np.arange(1, 2814+1)
        incomplete_array[2000:] = 0
        incomplete_array.reshape((42,67,1,1))


        incomplete_dict = {"key_1":incomplete_array}

        #dataset_dict = {"keys": complete_array}
        return incomplete_dict

    def refresh(self):
        return


class MultipleIncomplete():
    def __init__(self):
        self.incomplete_dict = self.incomplete_dict()

    def __getitem__(self, key):
        return self.incomplete_dict[key]


    def incomplete_dict(self):
        incomplete_datasets = {"keys":self.multiple_incomplete_keys_dataset(), "data":self.multiple_incomplete_dataset()}
        return incomplete_datasets

    def multiple_incomplete_dataset(self):

        array_shape = (42,67,10,4096)

        #create complete datasets
        complete_array = np.arange(np.asarray(array_shape).prod()).reshape(array_shape)

        array_shape = (42,67,10,4096)

        #create complete datasets
        incomplete_array = np.arange(1, np.asarray(array_shape).prod()+1)
        incomplete_array[array_shape[-1]*array_shape[-2]*2000:] = 0

        incomplete_dict = {"dset_1": incomplete_array, "dset_2": complete_array}

        #dataset_dict = {"data": complete_array}
        return incomplete_dict

    def multiple_incomplete_keys_dataset(self):
        #create complete datasets
        incomplete_array = np.arange(1, 2814+1)
        incomplete_array[2000:] = 0
        incomplete_array.reshape((42,67,1,1))

        complete_array = np.arange(2814).reshape((42,67,1,1))


        incomplete_dict = {"key_1":incomplete_array, "key_2": complete_array}

        #dataset_dict = {"keys": complete_array}
        return incomplete_dict

    def refresh(self):
        return