regarding the usage of super( ) .__init__() [closed]











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I am reading a code segment related to tensorflow. I am not very clear how to understand the definition of this class



class DatasetDataProvider(data_provider.DataProvider):

def __init__(self,
dataset,
num_readers=1,
reader_kwargs=None,
shuffle=True,
num_epochs=None,
common_queue_capacity=256,
common_queue_min=128,
record_key='record_key',
seed=None,
scope=None):

key, data = parallel_reader.parallel_read(
dataset.data_sources,
reader_class=dataset.reader,
num_epochs=num_epochs,
num_readers=num_readers,
reader_kwargs=reader_kwargs,
shuffle=shuffle,
capacity=common_queue_capacity,
min_after_dequeue=common_queue_min,
seed=seed,
scope=scope)

items = dataset.decoder.list_items()
tensors = dataset.decoder.decode(data, items)

items_to_tensors = dict(zip(items, tensors))
if record_key in items_to_tensors:
raise ValueError('The item name used for `record_key` cannot also be '
'used for a dataset item: %s', record_key)
items_to_tensors[record_key] = key

super(DatasetDataProvider, self).__init__(
items_to_tensors=items_to_tensors,
num_samples=dataset.num_samples)


In specific, I am not sure why it includes to _init_ part. How to understand them from OO design perspective? why in def __init__(self, we also include



super(DatasetDataProvider, self).__init__(
items_to_tensors=items_to_tensors,
num_samples=dataset.num_samples)









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closed as off-topic by Toby Speight, Sᴀᴍ Onᴇᴌᴀ, vnp, 200_success, Heslacher Nov 16 at 5:05


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "Authorship of code: Since Code Review is a community where programmers improve their skills through peer review, we require that the code be posted by an author or maintainer of the code, that the code be embedded directly, and that the poster know why the code is written the way it is." – Toby Speight, Sᴀᴍ Onᴇᴌᴀ, vnp, 200_success, Heslacher

If this question can be reworded to fit the rules in the help center, please edit the question.









  • 2




    Welcome to Code Review! Unfortunately this post is off-topic for this site. Please read What topics can I ask about here? - note "For licensing, moral, and procedural reasons, we cannot review code written by other programmers. We expect you, as the author, to understand why the code is written the way that it is."
    – Aries_is_there
    Nov 16 at 0:44

















up vote
-2
down vote

favorite












I am reading a code segment related to tensorflow. I am not very clear how to understand the definition of this class



class DatasetDataProvider(data_provider.DataProvider):

def __init__(self,
dataset,
num_readers=1,
reader_kwargs=None,
shuffle=True,
num_epochs=None,
common_queue_capacity=256,
common_queue_min=128,
record_key='record_key',
seed=None,
scope=None):

key, data = parallel_reader.parallel_read(
dataset.data_sources,
reader_class=dataset.reader,
num_epochs=num_epochs,
num_readers=num_readers,
reader_kwargs=reader_kwargs,
shuffle=shuffle,
capacity=common_queue_capacity,
min_after_dequeue=common_queue_min,
seed=seed,
scope=scope)

items = dataset.decoder.list_items()
tensors = dataset.decoder.decode(data, items)

items_to_tensors = dict(zip(items, tensors))
if record_key in items_to_tensors:
raise ValueError('The item name used for `record_key` cannot also be '
'used for a dataset item: %s', record_key)
items_to_tensors[record_key] = key

super(DatasetDataProvider, self).__init__(
items_to_tensors=items_to_tensors,
num_samples=dataset.num_samples)


In specific, I am not sure why it includes to _init_ part. How to understand them from OO design perspective? why in def __init__(self, we also include



super(DatasetDataProvider, self).__init__(
items_to_tensors=items_to_tensors,
num_samples=dataset.num_samples)









share|improve this question













closed as off-topic by Toby Speight, Sᴀᴍ Onᴇᴌᴀ, vnp, 200_success, Heslacher Nov 16 at 5:05


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "Authorship of code: Since Code Review is a community where programmers improve their skills through peer review, we require that the code be posted by an author or maintainer of the code, that the code be embedded directly, and that the poster know why the code is written the way it is." – Toby Speight, Sᴀᴍ Onᴇᴌᴀ, vnp, 200_success, Heslacher

If this question can be reworded to fit the rules in the help center, please edit the question.









  • 2




    Welcome to Code Review! Unfortunately this post is off-topic for this site. Please read What topics can I ask about here? - note "For licensing, moral, and procedural reasons, we cannot review code written by other programmers. We expect you, as the author, to understand why the code is written the way that it is."
    – Aries_is_there
    Nov 16 at 0:44















up vote
-2
down vote

favorite









up vote
-2
down vote

favorite











I am reading a code segment related to tensorflow. I am not very clear how to understand the definition of this class



class DatasetDataProvider(data_provider.DataProvider):

def __init__(self,
dataset,
num_readers=1,
reader_kwargs=None,
shuffle=True,
num_epochs=None,
common_queue_capacity=256,
common_queue_min=128,
record_key='record_key',
seed=None,
scope=None):

key, data = parallel_reader.parallel_read(
dataset.data_sources,
reader_class=dataset.reader,
num_epochs=num_epochs,
num_readers=num_readers,
reader_kwargs=reader_kwargs,
shuffle=shuffle,
capacity=common_queue_capacity,
min_after_dequeue=common_queue_min,
seed=seed,
scope=scope)

items = dataset.decoder.list_items()
tensors = dataset.decoder.decode(data, items)

items_to_tensors = dict(zip(items, tensors))
if record_key in items_to_tensors:
raise ValueError('The item name used for `record_key` cannot also be '
'used for a dataset item: %s', record_key)
items_to_tensors[record_key] = key

super(DatasetDataProvider, self).__init__(
items_to_tensors=items_to_tensors,
num_samples=dataset.num_samples)


In specific, I am not sure why it includes to _init_ part. How to understand them from OO design perspective? why in def __init__(self, we also include



super(DatasetDataProvider, self).__init__(
items_to_tensors=items_to_tensors,
num_samples=dataset.num_samples)









share|improve this question













I am reading a code segment related to tensorflow. I am not very clear how to understand the definition of this class



class DatasetDataProvider(data_provider.DataProvider):

def __init__(self,
dataset,
num_readers=1,
reader_kwargs=None,
shuffle=True,
num_epochs=None,
common_queue_capacity=256,
common_queue_min=128,
record_key='record_key',
seed=None,
scope=None):

key, data = parallel_reader.parallel_read(
dataset.data_sources,
reader_class=dataset.reader,
num_epochs=num_epochs,
num_readers=num_readers,
reader_kwargs=reader_kwargs,
shuffle=shuffle,
capacity=common_queue_capacity,
min_after_dequeue=common_queue_min,
seed=seed,
scope=scope)

items = dataset.decoder.list_items()
tensors = dataset.decoder.decode(data, items)

items_to_tensors = dict(zip(items, tensors))
if record_key in items_to_tensors:
raise ValueError('The item name used for `record_key` cannot also be '
'used for a dataset item: %s', record_key)
items_to_tensors[record_key] = key

super(DatasetDataProvider, self).__init__(
items_to_tensors=items_to_tensors,
num_samples=dataset.num_samples)


In specific, I am not sure why it includes to _init_ part. How to understand them from OO design perspective? why in def __init__(self, we also include



super(DatasetDataProvider, self).__init__(
items_to_tensors=items_to_tensors,
num_samples=dataset.num_samples)






python python-3.x






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asked Nov 15 at 21:27









user288609

1171




1171




closed as off-topic by Toby Speight, Sᴀᴍ Onᴇᴌᴀ, vnp, 200_success, Heslacher Nov 16 at 5:05


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "Authorship of code: Since Code Review is a community where programmers improve their skills through peer review, we require that the code be posted by an author or maintainer of the code, that the code be embedded directly, and that the poster know why the code is written the way it is." – Toby Speight, Sᴀᴍ Onᴇᴌᴀ, vnp, 200_success, Heslacher

If this question can be reworded to fit the rules in the help center, please edit the question.




closed as off-topic by Toby Speight, Sᴀᴍ Onᴇᴌᴀ, vnp, 200_success, Heslacher Nov 16 at 5:05


This question appears to be off-topic. The users who voted to close gave this specific reason:


  • "Authorship of code: Since Code Review is a community where programmers improve their skills through peer review, we require that the code be posted by an author or maintainer of the code, that the code be embedded directly, and that the poster know why the code is written the way it is." – Toby Speight, Sᴀᴍ Onᴇᴌᴀ, vnp, 200_success, Heslacher

If this question can be reworded to fit the rules in the help center, please edit the question.








  • 2




    Welcome to Code Review! Unfortunately this post is off-topic for this site. Please read What topics can I ask about here? - note "For licensing, moral, and procedural reasons, we cannot review code written by other programmers. We expect you, as the author, to understand why the code is written the way that it is."
    – Aries_is_there
    Nov 16 at 0:44
















  • 2




    Welcome to Code Review! Unfortunately this post is off-topic for this site. Please read What topics can I ask about here? - note "For licensing, moral, and procedural reasons, we cannot review code written by other programmers. We expect you, as the author, to understand why the code is written the way that it is."
    – Aries_is_there
    Nov 16 at 0:44










2




2




Welcome to Code Review! Unfortunately this post is off-topic for this site. Please read What topics can I ask about here? - note "For licensing, moral, and procedural reasons, we cannot review code written by other programmers. We expect you, as the author, to understand why the code is written the way that it is."
– Aries_is_there
Nov 16 at 0:44






Welcome to Code Review! Unfortunately this post is off-topic for this site. Please read What topics can I ask about here? - note "For licensing, moral, and procedural reasons, we cannot review code written by other programmers. We expect you, as the author, to understand why the code is written the way that it is."
– Aries_is_there
Nov 16 at 0:44

















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