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SQLDescribeCollower(OOOiiiO)SQLFreeHandleSQLFetchInvalid cursor object.SQLFetchScroll|lSQLCancelSQLColAttributeSQLExecDirectWSQLParamDataSQLPutDataSQLRowCountSQLNumResultColslowercase|zzzSQLProcedureColumnsSQLProcedures|iSQLGetTypeInfo|zzzzzzSQLForeignKeyss|zzSQLPrimaryKeyss|zzOSQLSpecialColumnss|zzOOSQLStatistics|zzzzSQLTablesSQLMoreResults|OOOOSQLColumnsdatetime.datetime_CAPIpyodbc.CursorsetinputsizessetoutputsizefetchvalfetchonefetchallfetchmanynextsettablescolumnsstatisticsrowIdColumnsrowVerColumnsprimaryKeysforeignKeysgetTypeInfoproceduresprocedureColumnsskipcancelnoscanNOSCAN statement attrrowcountarraysizeconnectionfast_executemanyprocedurecatalogschematableforeignTableforeignCatalogforeignSchemanullableuniquequickcolumntableType01002HY000(Os)args(null)[%s] %V (%ld) (%s)0800108003080040800708S010A00028000400022223242542HY001HY014HYT00HYT01IM001IM002IM003The driver did not supply an error!SQLGetDataUUIDDecimaldecimal(O)(yyy#)HY106ODBC SQL type %d is not yet supported.  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to set SQL_ATTR_CONNECTION_POOLING attribute.Can't initialize module pyodbc.  SQLAllocEnv failed.Unable to set SQL_ATTR_ODBC_VERSION attribute.TimeFromTicks requires a number.Attribute dictionary attrs must be integers, buffers, bytes, %sargument 1 must be a string or unicode objectfunction takes at most 1 non-keyword argumentDictionary keys passed to connect must be stringsAttribute dictionary keys must be integersno connection information was passedpyodbc: PyThreadState_GetDict returned NULLSQL_DYNAMIC_CURSOR_ATTRIBUTES1SQL_DYNAMIC_CURSOR_ATTRIBUTES2SQL_FORWARD_ONLY_CURSOR_ATTRIBUTES1SQL_FORWARD_ONLY_CURSOR_ATTRIBUTES2SQL_MAX_ASYNC_CONCURRENT_STATEMENTSSQL_MAX_ROW_SIZE_INCLUDES_LONGSQL_ODBC_INTERFACE_CONFORMANCESQL_ORDER_BY_COLUMNS_IN_SELECTSQL_SQL92_FOREIGN_KEY_DELETE_RULESQL_SQL92_FOREIGN_KEY_UPDATE_RULESQL_SQL92_NUMERIC_VALUE_FUNCTIONSSQL_SQL92_RELATIONAL_JOIN_OPERATORSSQL_SQL92_ROW_VALUE_CONSTRUCTORSQL_CONVERT_INTERVAL_YEAR_MONTHException that is the base class of all other error exceptions. You can use
this to catch all errors with one single 'except' statement.Exception raised for important warnings like data truncations while inserting,
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ұ^��������8����`��+�����<��W��s�v������²��2��_�3�-(�mC�n_�4v�.��H��`��/��'ʳeڳe�f��f�g$�g;�hI�hX�ij�i}�j��j��k��kմl�l��m�m-�n>�nT�oc�ow�p��s��0��5µ6յ7�8��9�:�;.�<@��Q�=e�{��|��G��>��?ɶ@ڶA�B�C�D*�E�F@�zR�}k�~�l������ȷݷ�����#� 0�@Ӛ�	����!�'�-�3�6�9�<�?�B�H�N�T�Z�`�f��۸Ƚ��X��������
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�"�(t5?	���o���o`4���o�o>2���o<P"��� �0�@�P�`�p�����������Ј���� �0�@�P�`�p�����������Љ���� �0�@�P�`�p�����������Њ���� �0�@�P�`�p�����������Ћ���� �0�@�P�`�p�����������Ќ���� �0�@�P�`�p�����������Ѝ���� �0�@�P�`�p�����������Ў���� �0�@�P�`�p�����������Џ���� �0�@�P�`�p�����������А���� �0�@�P�`�p�����������Б���� �0�@�P�`�p�����������В���� �0�@�P�`�p�����������Г���� �0�@�P�`�p�����������Д��"�(__exit__(*excinfo) -> None.  Commits the connection if necessary.__enter__() -> self.setdecoding(sqltype, encoding=None, ctype=None) --> None

Configures how text of type `ctype` (SQL_CHAR or SQL_WCHAR) is decoded
when read from the database.

When reading, the database will assign one of the sqltypes to text columns.
pyodbc uses this lookup the decoding information set by this function.
sqltype: pyodbc.SQL_CHAR or pyodbc.SQL_WCHAR

encoding: A registered Python encoding such as "utf-8".

ctype: The C data type should be requested.  Set this to SQL_CHAR for
  single-byte encodings like UTF-8 and to SQL_WCHAR for two-byte encodings
  like UTF-16.get_output_converter(sqltype) --> <class 'function'>

Get the output converter function that was registered with
add_output_converter.  It is safe to call if no converter is
registered for the type (returns None).

sqltype
  The integer SQL type value being converted, which can be one of the defined
  standard constants (e.g. pyodbc.SQL_VARCHAR) or a database-specific value
  (e.g. -151 for the SQL Server 2008 geometry data type).
remove_output_converter(sqltype) --> None

Remove an output converter function that was registered with
add_output_converter.  It is safe to call if no converter is
registered for the type.

sqltype
  The integer SQL type value being converted, which can be one of the defined
  standard constants (e.g. pyodbc.SQL_VARCHAR) or a database-specific value
  (e.g. -151 for the SQL Server 2008 geometry data type).
add_output_converter(sqltype, func) --> None

Register an output converter function that will be called whenever a value with
the given SQL type is read from the database.

sqltype
  The integer SQL type value to convert, which can be one of the defined
  standard constants (e.g. pyodbc.SQL_VARCHAR) or a database-specific value
  (e.g. -151 for the SQL Server 2008 geometry data type).

func
  The converter function which will be called with a single parameter, the
  value, and should return the converted value.  If the value is NULL, the
  parameter will be None.  Otherwise it will be a bytes object.

If func is None, any existing converter is removed.getinfo(type) --> str | int | bool

Calls SQLGetInfo, passing `type`, and returns the result formatted as a Python object.Causes the the database to roll back to the start of any pending transaction.Commit any pending transaction to the database.execute(sql, [params]) --> Cursor

Create a new Cursor object, call its execute method, and return it.  See
Cursor.execute for more details.

This is a convenience method that is not part of the DB API.  Since a new
Cursor is allocated by each call, this should not be used if more than one SQL
statement needs to be executed.Return a new Cursor object using the connection.Close the connection now (rather than whenever __del__ is called).

The connection will be unusable from this point forward and a ProgrammingError
will be raised if any operation is attempted with the connection.  The same
applies to all cursor objects trying to use the connection.

Note that closing a connection without committing the changes first will cause
an implicit rollback to be performed.clear_output_converters() --> None

Remove all output converter functions.set_attr(attr_id, value) -> None

Calls SQLSetConnectAttr with the given values.

attr_id
  The attribute id (integer) to set.  These are ODBC or driver constants.

value
  An integer value.

At this time, only integer values are supported and are always passed as SQLUINTEGER.Connection objects manage connections to the database.

Each manages a single ODBC HDBC.ي���@ "@""�$"���"��� "!���"����@")����"2�0�`":���"O�@� "g��`"|�P��"���� "������0� "�� ��"�����"ȋ��Ћ��Ћ�p�������x��зж�������Cursor objects represent a database cursor, which is used to manage the context
of a fetch operation.  Cursors created from the same connection are not
isolated, i.e., any changes done to the database by a cursor are immediately
visible by the other cursors.  Cursors created from different connections are
isolated.

Cursors implement the iterator protocol, so results can be iterated:

  cursor.execute(sql)
  for row in cursor:
     print row[0]__exit__(*excinfo) -> None.  Commits the connection if necessary..__enter__() -> self.setinputsizes(sizes) -> None

Sets the type information to be used when binding parameters.
sizes must be a sequence of values, one for each input parameter.
Each value may be an integer to override the column size when binding character
data, a Type Object to override the SQL type, or a sequence of integers to specify
(SQL type, column size, decimal digits) where any may be none to use the default.

Parameters beyond the length of the sequence will be bound with the defaults.
Setting sizes to None reverts all parameters to the defaults.fetchall() --> list of Rows

Fetch all remaining rows of a query result, returning them as a list of Rows.
An empty list is returned if there are no more rows.

A ProgrammingError exception is raised if the previous call to execute() did
not produce any result set or no call was issued yet.fetchmany(size=cursor.arraysize) --> list of Rows

Fetch the next set of rows of a query result, returning a list of Row
instances. An empty list is returned when no more rows are available.

The number of rows to fetch per call is specified by the parameter.  If it is
not given, the cursor's arraysize determines the number of rows to be
fetched. The method should try to fetch as many rows as indicated by the size
parameter. If this is not possible due to the specified number of rows not
being available, fewer rows may be returned.

A ProgrammingError exception is raised if the previous call to execute() did
not produce any result set or no call was issued yet.fetchone() --> Row | None

Fetch the next row of a query result set, returning a single Row instance, or
None when no more data is available.

A ProgrammingError exception is raised if the previous call to execute() did
not produce any result set or no call was issued yet.fetchval() --> value | None

Returns the first column of the next row in the result set or None
if there are no more rows.Ignored.nextset() --> True | None

Jumps to the next resultset if the last sql has multiple resultset.Returns True if there is a next resultset otherwise None.executemany(sql, seq_of_params) --> Cursor | count | None

Prepare a database query or command and then execute it against all parameter
sequences  found in the sequence seq_of_params.

Only the result of the final execution is returned.  See `execute` for a
description of parameter passing the return value.This read/write attribute specifies whether to use a faster executemany() which
uses parameter arrays. Not all drivers may work with this implementation.This read-only attribute return a reference to the Connection object on which
the cursor was created.

The attribute simplifies writing polymorph code in multi-connection
environments.This read/write attribute specifies the number of rows to fetch at a time with
fetchmany(). It defaults to 1 meaning to fetch a single row at a time.This read-only attribute is a sequence of 7-item sequences.  Each of these
sequences contains information describing one result column: (name, type_code,
display_size, internal_size, precision, scale, null_ok).  All values except
name, type_code, and internal_size are None.  The type_code entry will be the
type object used to create values for that column (e.g. `str` or
`datetime.datetime`).

This attribute will be None for operations that do not return rows or if the
cursor has not had an operation invoked via the execute() method yet.

The type_code can be interpreted by comparing it to the Type Objects defined in
the DB API and defined the pyodbc module: Date, Time, Timestamp, Binary,
STRING, BINARY, NUMBER, and DATETIME.This read-only attribute specifies the number of rows the last DML statement
 (INSERT, UPDATE, DELETE) affected.  This is set to -1 for SELECT statements.Cursor.cancel() -> None
Cancels the processing of the current statement.

Cancels the processing of the current statement.

This calls SQLCancel and is designed to be called from another thread tostop processing of an ongoing query.Rolls back any pending transaction to the database on the current connection,
including those from other cursors.
skip(count) --> None

Skips the next `count` records by calling SQLFetchScroll with SQL_FETCH_NEXT.
For convenience, skip(0) is accepted and will do nothing.C.procedures(procedure=None, catalog=None, schema=None) --> self

Executes SQLProcedures and creates a result set of information about the
procedures in the data source.
Each row fetched has the following columns:
 0) procedure_cat
 1) procedure_schem
 2) procedure_name
 3) num_input_params
 4) num_output_params
 5) num_result_sets
 6) remarks
 7) procedure_typeC.procedureColumns(procedure=None, catalog=None, schema=None) --> self

Executes SQLProcedureColumns and creates a result set of information
about stored procedure columns and results.
  0) procedure_cat
  1) procedure_schem
  2) procedure_name
  3) column_name
  4) column_type
  5) data_type
  6) type_name
  7) column_size
  8) buffer_length
  9) decimal_digits
 10) num_prec_radix
 11) nullable
 12) remarks
 13) column_def
 14) sql_data_type
 15) sql_datetime_sub
 16) char_octet_length
 17) ordinal_position
 18) is_nullableC.getTypeInfo(sqlType=None) --> self

Executes SQLGetTypeInfo a creates a result set with information about the
specified data type or all data types supported by the ODBC driver if not
specified.

Each row fetched has the following columns:
 0) type_name
 1) data_type
 2) column_size
 3) literal_prefix
 4) literal_suffix
 5) create_params
 6) nullable
 7) case_sensitive
 8) searchable
 9) unsigned_attribute
10) fixed_prec_scale
11) auto_unique_value
12) local_type_name
13) minimum_scale
14) maximum_scale
15) sql_data_type
16) sql_datetime_sub
17) num_prec_radix
18) interval_precisionC.foreignKeys(table=None, catalog=None, schema=None,
            foreignTable=None, foreignCatalog=None, foreignSchema=None) --> self

Executes the SQLForeignKeys function and creates a results set of column names
that are foreign keys in the specified table (columns in the specified table
that refer to primary keys in other tables) or foreign keys in other tables
that refer to the primary key in the specified table.

Each row fetched has the following columns:
  0) pktable_cat
  1) pktable_schem
  2) pktable_name
  3) pkcolumn_name
  4) fktable_cat
  5) fktable_schem
  6) fktable_name
  7) fkcolumn_name
  8) key_seq
  9) update_rule
 10) delete_rule
 11) fk_name
 12) pk_name
 13) deferrabilityC.primaryKeys(table, catalog=None, schema=None) --> self

Creates a results set of column names that make up the primary key for a table
by executing the SQLPrimaryKeys function.
Each row fetched has the following columns:
 0) table_cat
 1) table_schem
 2) table_name
 3) column_name
 4) key_seq
 5) pk_nameC.rowIdColumns(table, catalog=None, schema=None, nullable=True) --> self

Executes SQLSpecialColumns with SQL_ROWVER which creates a result set of columns that
are automatically updated when any value in the row is updated.

Each row fetched has the following columns:
 0) scope
 1) column_name
 2) data_type
 3) type_name
 4) column_size
 5) buffer_length
 6) decimal_digits
 7) pseudo_columnC.rowIdColumns(table, catalog=None, schema=None, nullable=True) -->

Executes SQLSpecialColumns with SQL_BEST_ROWID which creates a result set of columns that
uniquely identify a row

Each row fetched has the following columns:
 0) scope
 1) column_name
 2) data_type
 3) type_name
 4) column_size
 5) buffer_length
 6) decimal_digits
 7) pseudo_columnC.statistics(catalog=None, schema=None, unique=False, quick=True) --> self

Creates a results set of statistics about a single table and the indexes associated with 
the table by executing SQLStatistics.
unique
  If True, only unique indexes are retured.  Otherwise all indexes are returned.
quick
  If True, CARDINALITY and PAGES are returned  only if they are readily available
  from the server

Each row fetched has the following columns:

  0) table_cat
  1) table_schem
  2) table_name
  3) non_unique
  4) index_qualifier
  5) index_name
  6) type
  7) ordinal_position
  8) column_name
  9) asc_or_desc
 10) cardinality
 11) pages
 12) filter_conditionC.columns(table=None, catalog=None, schema=None, column=None)

Creates a results set of column names in specified tables by executing the ODBC SQLColumns function.
Each row fetched has the following columns:
  0) table_cat
  1) table_schem
  2) table_name
  3) column_name
  4) data_type
  5) type_name
  6) column_size
  7) buffer_length
  8) decimal_digits
  9) num_prec_radix
 10) nullable
 11) remarks
 12) column_def
 13) sql_data_type
 14) sql_datetime_sub
 15) char_octet_length
 16) ordinal_position
 17) is_nullableC.tables(table=None, catalog=None, schema=None, tableType=None) --> self

Executes SQLTables and creates a results set of tables defined in the data
source.

The table, catalog, and schema interpret the '_' and '%' characters as
wildcards.  The escape character is driver specific, so use
`Connection.searchescape`.

Each row fetched has the following columns:
 0) table_cat: The catalog name.
 1) table_schem: The schema name.
 2) table_name: The table name.
 3) table_type: One of 'TABLE', 'VIEW', SYSTEM TABLE', 'GLOBAL TEMPORARY'
    'LOCAL TEMPORARY', 'ALIAS', 'SYNONYM', or a data source-specific type name.C.execute(sql, [params]) --> Cursor

Prepare and execute a database query or command.

Parameters may be provided as a sequence (as specified by the DB API) or
simply passed in one after another (non-standard):

  cursor.execute(sql, (param1, param2))

    or

  cursor.execute(sql, param1, param2)
Close the cursor now (rather than whenever __del__ is called).  The cursor will
be unusable from this point forward; a ProgrammingError exception will be
raised if any operation is attempted with the cursor.?�x��`%" ��� T"�Q" Q"�����4�l@6"��``3"=�h�2"G�2"R�H`1"c�m�u�c�m�u�|�m�u�������|�m�u�|�m�u���|�m�u�����|�m�u�š|�m�u�ɚ����N"!�`M"W��� 0"M����'"[�0�`/"i����."r�p��-"{����)"�� � +"����/"��0��J"��0�H"��0� F"�� ��D"���C"˙���A"י�?"����<"���9"��@��:"���`8"����)�p��7"� ��6"��@��'"����@'"ޜgetDecimalSeparator() -> string

Gets the decimal separator character used when parsing NUMERIC from the database.setDecimalSeparator(string) -> None

Sets the decimal separator character used when parsing NUMERIC from the database.dataSources() --> { DSN : Description }

Returns a dictionary mapping available DSNs to their descriptions.drivers() --> [ DriverName1, DriverName2 ... DriverNameN ]

Returns a list of installed drivers.TimestampFromTicks(ticks) --> datetime.datetime

Returns a datetime object initialized from the given ticks value (number of
seconds since the epoch; see the documentation of the standard Python time
module for detailsDateFromTicks(ticks) --> datetime.date

Returns a date object initialized from the given ticks value (number of seconds
since the epoch; see the documentation of the standard Python time module for
details).TimeFromTicks(ticks) --> datetime.time

Returns a time object initialized from the given ticks value (number of seconds
since the epoch; see the documentation of the standard Python time module for
details).connect(str, autocommit=False, ansi=False, timeout=0, **kwargs) --> Connection

Accepts an ODBC connection string and returns a new Connection object.

The connection string will be passed to SQLDriverConnect, so a DSN connection
can be created using:

  cnxn = pyodbc.connect('DSN=DataSourceName;UID=user;PWD=password')

To connect without requiring a DSN, specify the driver and connection
information:

  DRIVER={SQL Server};SERVER=localhost;DATABASE=testdb;UID=user;PWD=password

Note the use of braces when a value contains spaces.  Refer to SQLDriverConnect
documentation or the documentation of your ODBC driver for details.

The connection string can be passed as the string `str`, as a list of keywords,
or a combination of the two.  Any keywords except autocommit, ansi, and timeout
(see below) are simply added to the connection string.

  connect('server=localhost;user=me')
  connect(server='localhost', user='me')
  connect('server=localhost', user='me')

The DB API recommends the keywords 'user', 'password', and 'host', but these
are not valid ODBC keywords, so these will be converted to 'uid', 'pwd', and
'server'.

Special Keywords

The following specal keywords are processed by pyodbc and are not added to the
connection string.  (If you must use these in your connection string, pass them
as a string, not as keywords.)

  autocommit
    If False or zero, the default, transactions are created automatically as
    defined in the DB API 2.  If True or non-zero, the connection is put into
    ODBC autocommit mode and statements are committed automatically.
   
  ansi
    By default, pyodbc first attempts to connect using the Unicode version of
    SQLDriverConnectW.  If the driver returns IM001 indicating it does not
    support the Unicode version, the ANSI version is tried.  Any other SQLSTATE
    is turned into an exception.  Setting ansi to true skips the Unicode
    attempt and only connects using the ANSI version.  This is useful for
    drivers that return the wrong SQLSTATE (or if pyodbc is out of date and
    should support other SQLSTATEs).
   
  timeout
    An integer login timeout in seconds, used to set the SQL_ATTR_LOGIN_TIMEOUT
    attribute of the connection.  The default is 0 which means the database's
    default timeout, if any, is used.
.A database module for accessing databases via ODBC.

This module conforms to the DB API 2.0 specification while providing
non-standard convenience features.  Only standard Python data types are used
so additional DLLs are not required.

Static Variables:

version
  The module version string.  Official builds will have a version in the format
  `major.minor.revision`, such as 2.1.7.  Beta versions will have -beta appended,
  such as 2.1.8-beta03.  (This would be a build before the official 2.1.8 release.)
  Some special test builds will have a test name (the git branch name) prepended,
  such as fixissue90-2.1.8-beta03.

apilevel
  The string constant '2.0' indicating this module supports DB API level 2.0.

lowercase
  A Boolean that controls whether column names in result rows are lowercased.
  This can be changed any time and affects queries executed after the change.
  The default is False.  This can be useful when database columns have
  inconsistent capitalization.

pooling
  A Boolean indicating whether connection pooling is enabled.  This is a
  global (HENV) setting, so it can only be modified before the first
  connection is made.  The default is True, which enables ODBC connection
  pooling.

threadsafety
  The integer 1, indicating that threads may share the module but not
  connections.  Note that connections and cursors may be used by different
  threads, just not at the same time.

qmark
  The string constant 'qmark' to indicate parameters are identified using
  question marks.���f"��������@m"J��c�]"R�p`�\"`��[\"n��b�Y"��P` Y"��\ ["���^�Z"��0] Z"����¸˸ϸԸRow objects are sequence objects that hold query results.

They are similar to tuples in that they cannot be resized and new attributes
cannot be added, but individual elements can be replaced.  This allows data to
be "fixed up" after being fetched.  (For example, datetimes may be replaced by
those with time zones attached.)

  row[0] = row[0].replace(tzinfo=timezone)
  print row[0]

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name.  Non-alphanumeric characters are replaced with an underscore.

  cursor.execute("select customer_id, [Name With Spaces] from tmp")
  row = cursor.fetchone()
  print row.customer_id, row.Name_With_Spaces

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