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Acts as a function that will match using an SQL 'LIKE' style
string. Case insensitive and % signs are wild cards.
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k r�t | d � q�t | j d � n Xd S( s� CreateTable(table, columns) - Create a new table in the database.
raises TableDBError if it already exists or for other DB errors.
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c C s| t | � r t d � n t | � } t | j d � | � s@ g St | j d | j j � | � } | rt t j | � Sg Sd S( s\ Return a list of columns in the given table.
[] if the table doesn't exist.
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s CreateOrExtendTable(table, columns)
Create a new table in the database.
If a table of this name already exists, extend it to have any
additional columns present in the given list as well as
all of its current columns.
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s� Insert(table, datadict) - Insert a new row into the table
using the keys+values from rowdict as the column values.
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j d � n Xd S( s Modify(table, conditions={}, mappings={}) - Modify items in rows matching 'conditions' using mapping functions in 'mappings'
* table - the table name
* conditions - a dictionary keyed on column names containing
a condition callable expecting the data string as an
argument and returning a boolean.
* mappings - a dictionary keyed on column names containing a
condition callable expecting the data string as an argument and
returning the new string for that column.
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rd} t j d k rQt | d � qet | j d � n Xd S( s Delete(table, conditions) - Delete items matching the given
conditions from the table.
* conditions - a dictionary keyed on column names containing
condition functions expecting the data string as an
argument and returning a boolean.
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� S( s� Select(table, columns, conditions) - retrieve specific row data
Returns a list of row column->value mapping dictionaries.
* columns - a list of which column data to return. If
columns is None, all columns will be returned.
* conditions - a dictionary keyed on column names
containing callable conditions expecting the data string as an
argument and returning a boolean.
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Returns a dictionary keyed on rowids containing dicts
holding the row data for columns listed in the columns param
that match the given conditions.
* conditions is a dictionary keyed on column names
containing callable conditions expecting the data string as an
argument and returning a boolean.
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