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from lsst.afw.image import Exposure, ExposureInfo, MaskedImage, Image
from lsst.afw.table import SourceCatalog
from lsst.afw.detection import Psf
from lsst.afw.math import BackgroundList
from lsst.pex.config import Config, ConfigurableField
from lsst.pipe.base import PipelineTaskConnections, PipelineTaskConfig, PipelineTask, Struct, Task
from lsst.pipe.base.connectionTypes import Input, Output


class CharacterizeImageConnections(PipelineTaskConnections, dimensions=("visit", "detector")):

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from typing import Iterable, Optional
import astropy.time
from lsst.daf.butler import DatasetRef


class Registry:

    ...

    def certify(self, collection: str,

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class DimensionConnector(ABC):
    """An interface for objects that optimize joins and other queris on
    dimension information via pre-fetching.
    
    Parameters
    ----------
    dimensions
        All dimensions that will ever be passed to or used by this object.
        In the QuantumGraph generation use case, this would be all
        dimensions referenced by any dataset type or task in the full

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- Result should be "good" only, not "good" and "bad"

DROP TABLE IF EXISTS redundant;
DROP TABLE IF EXISTS enough;

CREATE TABLE redundant (
    name VARCHAR(10) PRIMARY KEY
);
INSERT INTO redundant VALUES('good');
INSERT INTO redundant VALUES('bad');

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from abc import ABC, abstractmethod
from typing import Optional


class Filter(ABC):
    """A string-based identifier for a filter.

    A `Filter` may be *associated* with transmission curve information,
    but never holds it.  In many cases, that association will also require
    other information (i.e. an epoch or validity range).

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#
# Copyright (c) 2018 Jim Bosch
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to
# deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
# sell copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#

TallJimbo

#
# Copyright (c) 2018 Jim Bosch
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to
# deal in the Software without restriction, including without limitation the
# rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
# sell copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#

TallJimbo

Definitions

Data Repository

A collection of datasets and the metadata that describes them, managed by the Butler. Datasets in a repository share at least some provenance (e.g. configuration and software versions). Data repositories may be chained together, enabling the outputs of one step of processing to be used as the inputs for the next, and the graph of related data repositories defines a search path for the datasets within them.

Data ID

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class Member(object):

    def __init__(self, value):
        self.value = value

    def __iadd__(self, value):
        print("__iadd__")
        self.value += value
        return self

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class Comparison(object):
    """Interface definition for comparison objects.

    This class doesn't actually have to exist - it's just for exposition.

    A comparison for a new type can be defined by implementing a class with
    signatures like this one, then calling ComparisonRegistry.register().
    """