annotate
Function annotations for Python2.
Features
@annotate
Overview
TODO…
Examples
from typing import Optional, Tuple, Union, Sequence
from annotate import annotate
from .lib import cached
from . import jni
from .jobjectbase import JObjectBase
from .jclass import JClass
from .jobject import JObject
class JArray(JObjectBase):
"""Java Array"""
@classmethod
@annotate('JArray', size=Union[int, long])
def newBooleanArray(cls, size):
...
...
@classmethod
@annotate('JArray', size=Union[int, long])
def newDoubleArray(cls, size):
...
@classmethod
@annotate('JArray', size=Union[int, long])
def newStringArray(cls, size):
...
@classmethod
@annotate('JArray', size=Union[int, long], component_class=JClass)
def newObjectArray(cls, size, component_class):
...
@annotate(jenv=jni.JNIEnv, jarr=jni.jarray, borrowed=bool)
def __init__(self, jenv, jarr, borrowed=False):
...
def __hash__(self):
return super(JArray, self).__hash__()
def __len__(self):
return self.getLength()
@annotate(JObject, borrowed=bool)
def asObject(self, borrowed=False):
...
@cached
@annotate(int)
def getLength(self):
...
@annotate(bool, idx=int)
def getBoolean(self, idx):
...
...
@annotate(float, idx=int)
def getDouble(self, idx):
...
@annotate(Optional[str], idx=int)
def getString(self, idx):
...
@annotate(Optional[JObject], idx=int)
def getObject(self, idx):
...
@annotate(idx=int, val=bool)
def setBoolean(self, idx, val):
...
@annotate(idx=int, val=str)
def setChar(self, idx, val):
...
...
@annotate(idx=int, val=Union[int, long])
def setLong(self, idx, val):
...
@annotate(idx=int, val=float)
def setDouble(self, idx, val):
...
@annotate(idx=int, val=Optional[str])
def setString(self, idx, val):
...
@annotate(idx=int, val=Optional[JObject])
def setObject(self, idx, val):
...
@annotate('JArray', start=int, stop=int, step=int)
def getBooleanSlice(self, start, stop, step):
...
...
@annotate('JArray', start=int, stop=int, step=int)
def getDoubleSlice(self, start, stop, step):
...
@annotate('JArray', start=int, stop=int, step=int)
def getStringSlice(self, start, stop, step):
...
@annotate('JArray', start=int, stop=int, step=int)
def getObjectSlice(self, start, stop, step):
...
@annotate(start=int, stop=int, step=int, val=Sequence[bool])
def setBooleanSlice(self, start, stop, step, val):
...
@annotate(start=int, stop=int, step=int, val=Union[Sequence[str], str])
def setCharSlice(self, start, stop, step, val):
...
@annotate(start=int, stop=int, step=int,
val=Union[Sequence[Union[int,bytes]], (bytes, bytearray)])
def setByteSlice(self, start, stop, step, val):
...
...
@annotate(start=int, stop=int, step=int, val=Sequence[float])
def setDoubleSlice(self, start, stop, step, val):
...
@annotate(start=int, stop=int, step=int, val=Sequence[Optional[str]])
def setStringSlice(self, start, stop, step, val):
...
@annotate(start=int, stop=int, step=int, val=Sequence[Optional[JObject]])
def setObjectSlice(self, start, stop, step, val):
...
@annotate(Tuple)
def getBooleanBuffer(self):
with self.jvm as (jvm, jenv):
is_copy = jni.jboolean()
return jenv.GetBooleanArrayElements(self._jobj, is_copy), jni.sizeof(jni.jboolean), b"B", is_copy
...
@annotate(Tuple)
def getDoubleBuffer(self):
with self.jvm as (jvm, jenv):
is_copy = jni.jboolean()
return jenv.GetDoubleArrayElements(self._jobj, is_copy), jni.sizeof(jni.jdouble), b"d", is_copy
@annotate(buf=object)
def releaseBooleanBuffer(self, buf):
with self.jvm as (jvm, jenv):
jenv.ReleaseBooleanArrayElements(self._jobj, jni.cast(buf, jni.POINTER(jni.jboolean)))
...
@annotate(buf=object)
def releaseDoubleBuffer(self, buf):
with self.jvm as (jvm, jenv):
jenv.ReleaseDoubleArrayElements(self._jobj, jni.cast(buf, jni.POINTER(jni.jdouble)))
Installation
Prerequisites:
Python 2.7 or higher
2.7 and 3.4 are primary test environments.
pip and setuptools
To install run:
python -m pip install --upgrade annotate
Development
Visit development page
Installation from sources:
Clone the sources and run:
python -m pip install ./annotate
or on development mode:
python -m pip install --editable ./annotate
Prerequisites:
Development is strictly based on tox. To install it run:
python -m pip install tox
License
Copyright (c) 2012-2018 Adam KarpierzLicensed under the zlib/libpng LicensePlease refer to the accompanying LICENSE file.
Changelog
1.0.7 (2018-11-08)
Drop support for Python 2.6 and 3.0-3.3
Update required setuptools version.
1.0.6 (2018-05-08)
Update required setuptools version.
Improve and simplify setup and packaging.
1.0.5 (2018-02-26)
Improve and simplify setup and packaging.
1.0.4 (2018-01-28)
Fix a bug and inconsistencies in tox.ini
Update of README.rst.
1.0.1 (2018-01-24)
Update required Sphinx version.
Update doc Sphinx configuration files.
1.0.0 (2017-11-18)
Setup improvements.
Other minor improvements.
0.7.4 (2017-01-05)
Minor setup improvements.
0.7.3 (2016-09-25)
Fix bug in setup.py
0.7.1 (2016-09-25)
More PEP8 compliant
0.6.7 (2016-09-24)
Minor description suplement
0.6.4 (2016-09-23)
Simplify package structure.
0.6.3 (2016-06-19)
Fix incompatibility for older versions of setuptools.Add example.
0.6.0 (2015-08-17)
Python3 support.
0.5.1 (2015-02-27)
Remove ‘returns’ as keyword argument for declare return type.For now, the type of returned value should be declared by thefirst positional argument.
0.3.3 (2014-09-15)
Add wheels.
0.3.2 (2014-09-13)
Standarize package.
0.3.0 (2014-09-06)
Standarize package.
Cosmetic changes.
0.2.6 (2014-06-10)
Portable setup.py.
0.2.5 (2014-06-10)
Cosmetic changes.
0.2.3 (2012-10-13)
Initial release.
Metadata
Release files for annotate 1.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| annotate-1.0.7.zip | 13.2 kB | Without provenance | Details for annotate-1.0.7.zip |
Release files / annotate-1.0.7.zip
| Download URL | annotate-1.0.7.zip |
|---|---|
| Size | 13.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d05f0078fe3ae6e8c67eb579108bdd074e161adaa8ea18fc08fa6d361fb2d6bd
|
|
BLAKE2b-256 checksum How to use checksums |
635b9b6557a1bf9356ba9630229bdb16da2f61ed1a0e9b805210b86248ccf015
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
Python-urllib/3.6
|
Security for annotate 1.0.7
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