Port patches from 1.0.0 branch (#5336)

* Remove f-string, since it's not supported by Python 3.5 (#5330)

* Remove f-string, since it's not supported by Python 3.5

* Add Python 3.5 to CI, to ensure compatibility

* Remove duplicated matplotlib

* Show deprecation notice for Python 3.5

* Fix lint

* Fix lint

* Fix a unit test that mistook MINOR ver for PATCH ver

* Enforce only major version in JSON model schema

* Bump version to 1.1.0-SNAPSHOT
This commit is contained in:
Philip Hyunsu Cho 2020-02-21 13:13:21 -08:00 committed by GitHub
parent 8aa8ef1031
commit 7ac7e8778f
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16 changed files with 81 additions and 43 deletions

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@ -1,5 +1,5 @@
cmake_minimum_required(VERSION 3.12)
project(xgboost LANGUAGES CXX C VERSION 1.0.0)
project(xgboost LANGUAGES CXX C VERSION 1.1.0)
include(cmake/Utils.cmake)
list(APPEND CMAKE_MODULE_PATH "${xgboost_SOURCE_DIR}/cmake/modules")
cmake_policy(SET CMP0022 NEW)

1
Jenkinsfile vendored
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@ -273,6 +273,7 @@ def TestPythonCPU() {
def docker_binary = "docker"
sh """
${dockerRun} ${container_type} ${docker_binary} tests/ci_build/test_python.sh cpu
${dockerRun} ${container_type} ${docker_binary} tests/ci_build/test_python.sh cpu-py35
"""
deleteDir()
}

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@ -1,8 +1,8 @@
Package: xgboost
Type: Package
Title: Extreme Gradient Boosting
Version: 1.0.0.1
Date: 2019-07-23
Version: 1.1.0.1
Date: 2020-02-21
Authors@R: c(
person("Tianqi", "Chen", role = c("aut"),
email = "tianqi.tchen@gmail.com"),

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@ -195,12 +195,22 @@
"properties": {
"version": {
"type": "array",
"const": [
1,
0,
0
"items": [
{
"type": "number",
"const": 1
},
{
"type": "number",
"minimum": 0
},
{
"type": "number",
"minimum": 0
}
],
"additionalItems": false
"minItems": 3,
"maxItems": 3
},
"learner": {
"type": "object",

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@ -5,7 +5,7 @@
#define XGBOOST_VERSION_CONFIG_H_
#define XGBOOST_VER_MAJOR 1
#define XGBOOST_VER_MINOR 0
#define XGBOOST_VER_MINOR 1
#define XGBOOST_VER_PATCH 0
#endif // XGBOOST_VERSION_CONFIG_H_

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@ -6,7 +6,7 @@
<groupId>ml.dmlc</groupId>
<artifactId>xgboost-jvm_2.12</artifactId>
<version>1.0.0-SNAPSHOT</version>
<version>1.1.0-SNAPSHOT</version>
<packaging>pom</packaging>
<name>XGBoost JVM Package</name>
<description>JVM Package for XGBoost</description>

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@ -6,10 +6,10 @@
<parent>
<groupId>ml.dmlc</groupId>
<artifactId>xgboost-jvm_2.12</artifactId>
<version>1.0.0-SNAPSHOT</version>
<version>1.1.0-SNAPSHOT</version>
</parent>
<artifactId>xgboost4j-example_2.12</artifactId>
<version>1.0.0-SNAPSHOT</version>
<version>1.1.0-SNAPSHOT</version>
<packaging>jar</packaging>
<build>
<plugins>
@ -26,7 +26,7 @@
<dependency>
<groupId>ml.dmlc</groupId>
<artifactId>xgboost4j-spark_${scala.binary.version}</artifactId>
<version>1.0.0-SNAPSHOT</version>
<version>1.1.0-SNAPSHOT</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
@ -37,7 +37,7 @@
<dependency>
<groupId>ml.dmlc</groupId>
<artifactId>xgboost4j-flink_${scala.binary.version}</artifactId>
<version>1.0.0-SNAPSHOT</version>
<version>1.1.0-SNAPSHOT</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>

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@ -6,10 +6,10 @@
<parent>
<groupId>ml.dmlc</groupId>
<artifactId>xgboost-jvm_2.12</artifactId>
<version>1.0.0-SNAPSHOT</version>
<version>1.1.0-SNAPSHOT</version>
</parent>
<artifactId>xgboost4j-flink_2.12</artifactId>
<version>1.0.0-SNAPSHOT</version>
<version>1.1.0-SNAPSHOT</version>
<build>
<plugins>
<plugin>
@ -26,7 +26,7 @@
<dependency>
<groupId>ml.dmlc</groupId>
<artifactId>xgboost4j_${scala.binary.version}</artifactId>
<version>1.0.0-SNAPSHOT</version>
<version>1.1.0-SNAPSHOT</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>

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@ -6,7 +6,7 @@
<parent>
<groupId>ml.dmlc</groupId>
<artifactId>xgboost-jvm_2.12</artifactId>
<version>1.0.0-SNAPSHOT</version>
<version>1.1.0-SNAPSHOT</version>
</parent>
<artifactId>xgboost4j-spark_2.12</artifactId>
<build>
@ -24,7 +24,7 @@
<dependency>
<groupId>ml.dmlc</groupId>
<artifactId>xgboost4j_${scala.binary.version}</artifactId>
<version>1.0.0-SNAPSHOT</version>
<version>1.1.0-SNAPSHOT</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>

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@ -6,10 +6,10 @@
<parent>
<groupId>ml.dmlc</groupId>
<artifactId>xgboost-jvm_2.12</artifactId>
<version>1.0.0-SNAPSHOT</version>
<version>1.1.0-SNAPSHOT</version>
</parent>
<artifactId>xgboost4j_2.12</artifactId>
<version>1.0.0-SNAPSHOT</version>
<version>1.1.0-SNAPSHOT</version>
<packaging>jar</packaging>
<dependencies>

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@ -1 +1 @@
1.0.0-SNAPSHOT
1.1.0-SNAPSHOT

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@ -5,6 +5,8 @@ Contributors: https://github.com/dmlc/xgboost/blob/master/CONTRIBUTORS.md
"""
import os
import sys
import warnings
from .core import DMatrix, Booster
from .training import train, cv
@ -19,6 +21,12 @@ try:
except ImportError:
pass
if sys.version_info[:2] == (3, 5):
warnings.warn(
'Python 3.5 support is deprecated; XGBoost will require Python 3.6+ in the near future. ' +
'Consider upgrading to Python 3.6+.',
FutureWarning)
VERSION_FILE = os.path.join(os.path.dirname(__file__), 'VERSION')
with open(VERSION_FILE) as f:
__version__ = f.read().strip()

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@ -423,8 +423,8 @@ class XGBModel(XGBModelBase):
self.classes_ = np.array(v)
continue
if k == 'type' and type(self).__name__ != v:
msg = f'Current model type: {type(self).__name__}, ' + \
f'type of model in file: {v}'
msg = 'Current model type: {}, '.format(type(self).__name__) + \
'type of model in file: {}'.format(v)
raise TypeError(msg)
if k == 'type':
continue

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@ -3,6 +3,7 @@ ARG CMAKE_VERSION=3.12
# Environment
ENV DEBIAN_FRONTEND noninteractive
SHELL ["/bin/bash", "-c"] # Use Bash as shell
# Install all basic requirements
RUN \
@ -19,10 +20,16 @@ ENV PATH=/opt/python/bin:$PATH
ENV GOSU_VERSION 1.10
# Install Python packages
# Create new Conda environment with Python 3.5
RUN conda create -n py35 python=3.5 && \
source activate py35 && \
pip install numpy pytest scipy scikit-learn pandas matplotlib wheel kubernetes urllib3 graphviz && \
source deactivate
# Install Python packages in default env
RUN \
pip install pyyaml cpplint pylint astroid sphinx numpy scipy pandas matplotlib sh \
recommonmark guzzle_sphinx_theme mock breathe matplotlib graphviz \
recommonmark guzzle_sphinx_theme mock breathe graphviz \
pytest scikit-learn wheel kubernetes urllib3 jsonschema boto3 && \
pip install https://h2o-release.s3.amazonaws.com/datatable/stable/datatable-0.7.0/datatable-0.7.0-cp37-cp37m-linux_x86_64.whl && \
pip install "dask[complete]"

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@ -5,31 +5,35 @@ set -x
suite=$1
# Install XGBoost Python package
wheel_found=0
for file in python-package/dist/*.whl
do
function install_xgboost {
wheel_found=0
for file in python-package/dist/*.whl
do
if [ -e "${file}" ]
then
pip install --user "${file}"
wheel_found=1
break # need just one
fi
done
if [ "$wheel_found" -eq 0 ]
then
done
if [ "$wheel_found" -eq 0 ]
then
pushd .
cd python-package
python setup.py install --user
popd
fi
fi
}
# Run specified test suite
case "$suite" in
gpu)
install_xgboost
pytest -v -s --fulltrace -m "not mgpu" tests/python-gpu
;;
mgpu)
install_xgboost
pytest -v -s --fulltrace -m "mgpu" tests/python-gpu
cd tests/distributed
./runtests-gpu.sh
@ -39,17 +43,25 @@ case "$suite" in
cudf)
source activate cudf_test
install_xgboost
pytest -v -s --fulltrace -m "not mgpu" tests/python-gpu/test_from_columnar.py tests/python-gpu/test_from_cupy.py
;;
cpu)
install_xgboost
pytest -v -s --fulltrace tests/python
cd tests/distributed
./runtests.sh
;;
cpu-py35)
source activate py35
install_xgboost
pytest -v -s --fulltrace tests/python
;;
*)
echo "Usage: $0 {gpu|mgpu|cudf|cpu}"
echo "Usage: $0 {gpu|mgpu|cudf|cpu|cpu-py35}"
exit 1
;;
esac

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@ -54,7 +54,7 @@ TEST(Version, Basic) {
ptr = 0;
v = std::stoi(str, &ptr);
ASSERT_EQ(v, XGBOOST_VER_MINOR) << "patch: " << v;;
ASSERT_EQ(v, XGBOOST_VER_PATCH) << "patch: " << v;;
str = str.substr(ptr);
ASSERT_EQ(str.size(), 0);