Repository navigation
Expand file tree
/
Copy pathsetup.py
More file actions
149 lines (139 loc) · 7.07 KB
/
Copy pathsetup.py
File metadata and controls
149 lines (139 loc) · 7.07 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
#########################################
# setup.py #
# Setup for PyBKT #
# #
# @author Anirudhan Badrinath #
# Last edited: 01 April 2021 #
#########################################
import os
from os.path import normpath as npath
import sys
from sysconfig import get_paths
from setuptools import setup, Extension
import platform
from distutils.command.build_ext import build_ext
sys.tracebacklimit = 0
class CustomBuildExtCommand(build_ext):
"""build_ext command for use when numpy headers are needed."""
""" https://stackoverflow.com/questions/2379898/make-distutils-look-for-numpy-header-files-in-the-correct-place """
def run(self):
import numpy
self.include_dirs.append(numpy.get_include())
build_ext.run(self)
FILES = {'synthetic_data_helper.cpp': 'source-cpp/pyBKT/generate/',
'predict_onestep_states.cpp': 'source-cpp/pyBKT/fit/',
'E_step.cpp': 'source-cpp/pyBKT/fit/'}
if platform.system() == 'Darwin':
ALL_COMPILE_ARGS = ['-c', '-fPIC', '-w', '-O3', '-stdlib=libc++', '-Xpreprocessor', '-fopenmp']
ALL_LINK_ARGS = ['-stdlib=libc++']
ALL_LIBRARIES = ['pthread', 'dl', 'util', 'm', 'omp']
else:
ALL_COMPILE_ARGS = ['-c', '-fPIC', '-w', '-fopenmp', '-O2']
ALL_LINK_ARGS = ['-fopenmp']
ALL_LIBRARIES = ['pthread', 'dl', 'util', 'm']
INCLUDE_DIRS = sys.path + ['source-cpp/pyBKT/Eigen/', get_paths()['include']]
LIBRARY_DIRS = [os.environ['LD_LIBRARY_PATH']] if 'LD_LIBRARY_PATH' in os.environ \
else []
def clean():
global LIBRARY_DIRS, ALL_LIBRARIES
LIBRARY_DIRS = [i for i in LIBRARY_DIRS if i != ""]
ALL_LIBRARIES = [i for i in ALL_LIBRARIES if i != ""]
with open('README.md', encoding='utf-8') as f:
long_description = f.read()
LIBRARY_DIRS += [sys.exec_prefix + '/lib']
clean()
try:
module1 = Extension('pyBKT/generate/synthetic_data_helper',
sources = [npath('source-cpp/pyBKT/generate/synthetic_data_helper.cpp')],
include_dirs = INCLUDE_DIRS,
extra_compile_args = ALL_COMPILE_ARGS,
library_dirs = LIBRARY_DIRS,
libraries = ALL_LIBRARIES,
extra_link_args = ALL_LINK_ARGS)
module2 = Extension('pyBKT/fit/E_step',
sources = [npath('source-cpp/pyBKT/fit/E_step.cpp')],
include_dirs = INCLUDE_DIRS,
extra_compile_args = ALL_COMPILE_ARGS,
library_dirs = LIBRARY_DIRS,
libraries = ALL_LIBRARIES,
extra_link_args = ALL_LINK_ARGS)
module3 = Extension('pyBKT/fit/predict_onestep_states',
sources = [npath('source-cpp/pyBKT/fit/predict_onestep_states.cpp')],
include_dirs = INCLUDE_DIRS,
extra_compile_args = ALL_COMPILE_ARGS,
library_dirs = LIBRARY_DIRS,
libraries = ALL_LIBRARIES,
extra_link_args = ALL_LINK_ARGS)
setup(
name="pyBKT",
version="1.5.0",
author="Zachary Pardos, Anirudhan Badrinath, Matthew Jade Johnson, Christian Garay",
author_email="zp@berkeley.edu, abadrinath@berkeley.edu, mattjj@csail.mit.edu, c.garay@berkeley.edu",
license = 'MIT',
description="PyBKT - Python Implentation of Bayesian Knowledge Tracing",
url="https://github.com/CAHLR/pyBKT",
download_url = 'https://github.com/CAHLR/pyBKT/archive/refs/tags/1.5.0.tar.gz',
keywords = ['BKT', 'Bayesian Knowledge Tracing', 'Bayesian Network', 'Hidden Markov Model', 'Intelligent Tutoring Systems', 'Adaptive Learning'],
classifiers=[
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
'Programming Language :: Python :: 3.12',
'Programming Language :: Python :: 3.13',
'Programming Language :: Python :: 3.14',
'Programming Language :: Python :: 3.15',
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
long_description = long_description,
long_description_content_type='text/markdown',
packages=['pyBKT', 'pyBKT.generate', 'pyBKT.fit', 'pyBKT.util', 'pyBKT.models'],
package_dir = { 'pyBKT': npath('source-cpp/pyBKT'),
'pyBKT.generate': npath('source-cpp/pyBKT/generate'),
'pyBKT.fit': npath('source-cpp/pyBKT/fit'),
'pyBKT.util': npath('source-cpp/pyBKT/util'),
'pyBKT.models': npath('source-cpp/pyBKT/models')},
python_requires=">=3.10",
install_requires = ["numpy", "pandas", "requests"],
extras_require = {"sklearn": ["scikit-learn"]},
setup_requires = ["numpy"],
cmdclass = {'build_ext': CustomBuildExtCommand},
ext_modules = [module1, module2, module3]
)
except:
# Set PYBKT_REQUIRE_CPP=1 to fail the install instead of falling back.
# Re-raising also lets setuptools' setup_requires probe through.
if os.environ.get('PYBKT_REQUIRE_CPP') == '1':
raise
# LEGACY PURE PYTHON VERSION:
setup(
name="pyBKT",
version="1.5.0",
author="Zachary Pardos, Anirudhan Badrinath, Matthew Jade Johnson, Christian Garay",
author_email="zp@berkeley.edu, abadrinath@berkeley.edu, mattjj@csail.mit.edu, c.garay@berkeley.edu",
license = 'MIT',
description="PyBKT - Python Implentation of Bayesian Knowledge Tracing",
url="https://github.com/CAHLR/pyBKT",
download_url = 'https://github.com/CAHLR/pyBKT/archive/refs/tags/1.5.0.tar.gz',
keywords = ['BKT', 'Bayesian Knowledge Tracing', 'Bayesian Network', 'Hidden Markov Model', 'Intelligent Tutoring Systems', 'Adaptive Learning'],
classifiers=[
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
'Programming Language :: Python :: 3.12',
'Programming Language :: Python :: 3.13',
'Programming Language :: Python :: 3.14',
'Programming Language :: Python :: 3.15',
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
long_description = long_description,
long_description_content_type='text/markdown',
packages=['pyBKT', 'pyBKT.generate', 'pyBKT.fit', 'pyBKT.util', 'pyBKT.models'],
package_dir = { 'pyBKT': npath('source-py/pyBKT'),
'pyBKT.generate': npath('source-py/pyBKT/generate'),
'pyBKT.fit': npath('source-py/pyBKT/fit'),
'pyBKT.util': npath('source-py/pyBKT/util'),
'pyBKT.models': npath('source-py/pyBKT/models')},
python_requires=">=3.10",
install_requires = ["numpy", "pandas", "requests"],
extras_require = {"sklearn": ["scikit-learn"]},
)