Merge pull request #34 from exxeleron/qpython-1.1-dev

qpython 1.1

Author: maciejlach

.travis.yml

@@ -1,6 +1,11 @@
 language: python
+
+sudo: false
+
 python:
   - "2.7"
+  - "3.3"
+  - "3.4"
 
 # command to install dependencies
 install: pip install -r requirements.txt -U

CHANGELOG.txt

@@ -1,3 +1,9 @@
+------------------------------------------------------------------------------
+  qPython 1.1.0 [2015.11.25]
+------------------------------------------------------------------------------
+
+  - Compatibility with Python 2.7, 3.3, and 3.4
+
 ------------------------------------------------------------------------------
   qPython 1.0.2 [2015.09.03]
 ------------------------------------------------------------------------------

README.rst

@@ -8,7 +8,7 @@ qPython is a Python library providing support for interprocess communication bet
 - Support for kdb+ protocol and types: v3.0, v2.6, v<=2.5
 - Uncompression of the IPC data stream
 - Internal representation of data via numpy arrays (lists, complex types) and numpy data types (atoms)
-- Supported on Python 2.7 and numpy 1.8
+- Supported on Python 2.7/3.3/3.4 and numpy 1.8
 
 For more details please refer to the `documentation`_.
 

conda.recipe/meta.yaml

@@ -1,6 +1,6 @@
 package:
   name: qpython
-  version: 1.0.2
+  version: "1.1.0"
 
 build:
     number: 1

doc/source/connection.rst

@@ -26,8 +26,8 @@ can be used with a ``with`` statement:
 ::
 
   with qconnection.QConnection(host = 'localhost', port = 5000) as q:
-      print q
-      print q('{`int$ til x}', 10)
+      print(q)
+      print(q('{`int$ til x}', 10))
 
 
 Types conversion configuration

doc/source/pandas.rst

@@ -17,35 +17,35 @@ For example:
 
     >>> with qconnection.QConnection(host = 'localhost', port = 5000, pandas = True) as q:
     >>>     ds = q('(1i;0Ni;3i)', pandas = True)
-    >>>     print ds
+    >>>     print(ds)
     0     1
     1   NaN
     2     3
     dtype: float64
-    >>>     print ds.meta
+    >>>     print(ds.meta)
     metadata(qtype=6)
 
     >>>     df =  q('flip `name`iq`fullname!(`Dent`Beeblebrox`Prefect;98 42 126;("Arthur Dent"; "Zaphod Beeblebrox"; "Ford Prefect"))')
-    >>>     print df
+    >>>     print(df)
              name   iq           fullname
     0        Dent   98        Arthur Dent
     1  Beeblebrox   42  Zaphod Beeblebrox
     2     Prefect  126       Ford Prefect
-    >>>     print df.meta
+    >>>     print(df.meta)
     metadata(iq=7, fullname=0, qtype=98, name=11)
-    >>>     print q('type', df)
+    >>>     print(q('type', df))
     98
 
     >>>     df =  q('([eid:1001 0N 1003;sym:`foo`bar`] pos:`d1`d2`d3;dates:(2001.01.01;2000.05.01;0Nd))')
-    >>>     print df
+    >>>     print(df)
              pos      dates
     eid  sym
     1001 foo  d1 2001-01-01
     NaN  bar  d2 2000-05-01
     1003      d3        NaT
-    >>>     print df.meta
+    >>>     print(df.meta)
     metadata(dates=14, qtype=99, eid=7, sym=11, pos=11)
-    >>>     print q('type', df)
+    >>>     print(q('type', df))
     99
 
 

doc/source/queries.rst

@@ -35,26 +35,26 @@ Synchronous queries
 
 Executes a q expression:
 
-    >>> print q.sync('til 10')
+    >>> print(q.sync('til 10'))
     [0 1 2 3 4 5 6 7 8 9]
 
 Executes an anonymous q function with a single parameter:
 
-    >>> print q.sync('{til x}', 10)
+    >>> print(q.sync('{til x}', 10))
     [0 1 2 3 4 5 6 7 8 9]
 
 Executes an anonymous q function with two parameters:
 
-    >>> print q.sync('{y + til x}', 10, 1)
+    >>> print(q.sync('{y + til x}', 10, 1))
     [ 1  2  3  4  5  6  7  8  9 10]
-    >>> print q.sync('{y + til x}', *[10, 1])
+    >>> print(q.sync('{y + til x}', *[10, 1]))
     [ 1  2  3  4  5  6  7  8  9 10]
 
 The :class:`.QConnection` class implements the 
 :func:`~qpython.qconnection.QConnection.__call__` method. This allows 
 :class:`.QConnection` instance to be called as a function:
 
-    >>> print q('{y + til x}', 10, 1)
+    >>> print(q('{y + til x}', 10, 1))
     [ 1  2  3  4  5  6  7  8  9 10]
 
 
@@ -84,25 +84,25 @@ For example:
 - Retrieves query result along with meta-information:
 
 >>> q.query(qconnection.MessageType.SYNC,'{x}', 10)
->>> print q.receive(data_only = False, raw = False)
+>>> print(q.receive(data_only = False, raw = False))
 QMessage: message type: 2, data size: 13, is_compressed: False, data: 10
 
 - Retrieves parsed query result:
 
 >>> q.query(qconnection.MessageType.SYNC,'{x}', 10)
->>> print q.receive(data_only = True, raw = False)
+>>> print(q.receive(data_only = True, raw = False))
 10
 
->>> q.sync('asynchMult:{[a;b] res:a*b; (neg .z.w)(res) }');
+>>> q.sync('asynchMult:{[a;b] res:a*b; (neg .z.w)(res) }')
 >>> q.async('asynchMult', 2, 3)
->>> print q.receive()
+>>> print(q.receive())
 6
 
 - Retrieves not-parsed (raw) query result:
 
 >>> from binascii import hexlify
 >>> q.query(qconnection.MessageType.SYNC,'{x}', 10)
->>> print hexlify(q.receive(data_only = True, raw = True))
+>>> print(hexlify(q.receive(data_only = True, raw = True)))
 fa0a000000
 
 
@@ -120,24 +120,25 @@ These methods accepts the `options` keywords arguments::
     >>> query = "{[x] 0Nd, `date$til x}"
     
     >>> # retrieve function call as raw byte buffer
-    >>> print binascii.hexlify(q(query, 5, raw = True))
+    >>> from binascii import hexlify
+    >>> print(binascii.hexlify(q(query, 5, raw = True)))
     0e0006000000000000800000000001000000020000000300000004000000
 
     >>> # perform a synchronous call and parse dates vector to numpy array
-    >>> print q.sync(query, 5, numpy_temporals = True)
+    >>> print(q.sync(query, 5, numpy_temporals = True))
     ['NaT' '2000-01-01' '2000-01-02' '2000-01-03' '2000-01-04' '2000-01-05']
 
     >>> # perform a synchronous call
     >>> q.query(qconnection.MessageType.SYNC, query, 3)
     >>> # retrieve query result and represent dates vector as raw data wrapped in QTemporalList
-    >>> print q.receive(numpy_temporals = False)
+    >>> print(q.receive(numpy_temporals = False))
     [NaT [metadata(qtype=-14)] 2000-01-01 [metadata(qtype=-14)]
      2000-01-02 [metadata(qtype=-14)] 2000-01-03 [metadata(qtype=-14)]]
     
     >>> # serialize single element strings as q characters 
-    >>> print q.sync('{[x] type each x}', ['one', 'two', '3'], single_char_strings = False)
+    >>> print(q.sync('{[x] type each x}', ['one', 'two', '3'], single_char_strings = False))
     [ 10,  10, -10]
     
     >>> # serialize single element strings as q strings 
-    >>> print q.sync('{[x] type each x}', ['one', 'two', '3'], single_char_strings = True)
-    [10, 10, 10]
+    >>> print(q.sync('{[x] type each x}', ['one', 'two', '3'], single_char_strings = True))
+    [10, 10, 10]

doc/source/type-conversion.rst

@@ -201,12 +201,12 @@ for ``month``\s etc.) and provides accessors which allow to convert raw data to
 ::
 
     >>> v = q.sync("2001.01.01 2000.05.01 0Nd", numpy_temporals = False)
-    >>> print '%s dtype: %s qtype: %d: %s' % (type(v), v.dtype, v.meta.qtype, v)
+    >>> print('%s dtype: %s qtype: %d: %s' % (type(v), v.dtype, v.meta.qtype, v))
     <class 'qpython.qcollection.QTemporalList'> dtype: int32 qtype: -14: [2001-01-01 [metadata(qtype=-14)] 2000-05-01 [metadata(qtype=-14)]
      NaT [metadata(qtype=-14)]]
     
     >>> v = q.sync("2000.01.04D05:36:57.600 0Np", numpy_temporals = False)
-    >>> print '%s dtype: %s qtype: %d: %s' % (type(v), v.dtype, v.meta.qtype, v)
+    >>> print('%s dtype: %s qtype: %d: %s' % (type(v), v.dtype, v.meta.qtype, v))
     <class 'qpython.qcollection.QTemporalList'> dtype: int64 qtype: -12: [2000-01-04T05:36:57.600000000+0100 [metadata(qtype=-12)]
      NaT [metadata(qtype=-12)]]
 
@@ -221,11 +221,11 @@ via :class:`~.qconnection.QConnection` constructor or as parameter to functions:
 ::
     
     >>> v = q.sync("2001.01.01 2000.05.01 0Nd", numpy_temporals = True)
-    >>> print '%s dtype: %s qtype: %d: %s' % (type(v), v.dtype, v.meta.qtype, v)
+    >>> print('%s dtype: %s qtype: %d: %s' % (type(v), v.dtype, v.meta.qtype, v))
     <class 'qpython.qcollection.QList'> dtype: datetime64[D] qtype: -14: ['2001-01-01' '2000-05-01' 'NaT']
     
     >>> v = q.sync("2000.01.04D05:36:57.600 0Np", numpy_temporals = True)
-    >>> print '%s dtype: %s qtype: %d: %s' % (type(v), v.dtype, v.meta.qtype, v)
+    >>> print('%s dtype: %s qtype: %d: %s' % (type(v), v.dtype, v.meta.qtype, v))
     <class 'qpython.qcollection.QList'> dtype: datetime64[ns] qtype: -12: ['2000-01-04T05:36:57.600000000+0100' 'NaT']