repo_full_name stringlengths 6 93 | repo_url stringlengths 25 112 | repo_api_url stringclasses 28
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values | repo_created_at timestamp[s]date 2012-07-24 23:12:50 2025-06-16 08:07:28 ⌀ | repo_updated_at timestamp[s]date 2026-02-23 15:23:15 2026-05-03 18:52:12 ⌀ | repo_topics listlengths 0 13 ⌀ | repo_languages unknown | is_fork bool 1
class | open_issues int64 3 104 ⌀ | file_path stringlengths 3 208 | file_name stringclasses 509
values | file_extension stringclasses 1
value | file_size_bytes int64 101 84k ⌀ | file_url stringclasses 627
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values | parsed_at stringdate 2026-05-04 01:12:36 2026-05-04 19:41:55 | text stringlengths 100 102k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
stravalib/stravalib | https://github.com/stravalib/stravalib | null | null | null | null | 980 | null | null | apache-2.0 | null | null | null | null | null | null | null | src/stravalib/tests/unit/test_validate_activity_type.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:28.720126 | import pytest
@pytest.fixture
def params():
"""A fixture that creates a dictionary representing
parameters associated with a Strava activity."""
params = {
"name": "New Activity",
"start_date_local": "2024-03-04T18:56:47Z",
"elapsed_time": 9000,
"description": "An activity... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/CEEMDAN.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:31.245236 | #!/usr/bin/python
# coding: UTF-8
#
# Author: Dawid Laszuk
# Contact: https://github.com/laszukdawid/PyEMD/issues
#
# Feel free to contact for any information.
"""
.. currentmodule:: CEEMDAN
"""
import logging
import os
from multiprocessing import Pool
from typing import Dict, List, Optional, Sequence, Tuple, Union... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/checks.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:31.246828 | """Calculate the statistical Significance of IMFs."""
import logging
import math
import numpy as np
from scipy import stats
from scipy.signal import find_peaks
# helper function: Find mean period of an IMF
def mean_period(data):
"""Return mean-period of signal."""
peaks = len(find_peaks(data, height=0)[0])
... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/BEMD.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:31.249569 | #!/usr/bin/python
# coding: UTF-8
#
# Author: Dawid Laszuk
# Contact: https://github.com/laszukdawid/PyEMD/issues
#
# Feel free to contact for any information.
import logging
import numpy as np
from scipy.interpolate import Rbf
try:
from skimage.morphology import reconstruction
except (ImportError, ModuleNotF... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/EEMD.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:31.365108 | #!/usr/bin/python
# coding: UTF-8
#
# Author: Dawid Laszuk
# Contact: https://github.com/laszukdawid/PyEMD/issues
#
# Feel free to contact for any information.
"""
.. currentmodule:: EEMD
"""
import logging
import os
from collections import defaultdict
from multiprocessing import Pool
from typing import Dict, List,... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:31.367209 | import logging
__version__ = "1.9.0"
logger = logging.getLogger("pyemd")
from PyEMD.CEEMDAN import CEEMDAN # noqa
from PyEMD.EEMD import EEMD # noqa
from PyEMD.EMD import EMD # noqa
from PyEMD.visualisation import Visualisation # noqa
|
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/EMD2d.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:31.369727 | #!/usr/bin/python
# coding: UTF-8
#
# Author: Dawid Laszuk
# Contact: https://github.com/laszukdawid/PyEMD/issues
#
# Edited: 07/07/2017
#
# Feel free to contact for any information.
import logging
import numpy as np
try:
from scipy.interpolate import SmoothBivariateSpline as SBS
from scipy.ndimage.filt... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/compact.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:31.371166 | import numpy as np
def TDMAsolver(a, b, c, d):
"""Thomas algorithm to solve tridiagonal linear systems with
non-periodic BC.
| b0 c0 | | . | | . |
| a1 b1 c1 | | . | | . |
| a2 b2 c2 | | x | = | d |
| .......... | | . | | ... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/EMD.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:31.372231 | #!/usr/bin/python
# coding: UTF-8
#
# Author: Dawid Laszuk
# Contact: https://github.com/laszukdawid/PyEMD/issues
#
# Feel free to contact for any information.
import logging
from typing import Optional, Tuple
import numpy as np
from scipy.interpolate import interp1d
from PyEMD.splines import akima,... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/EMD_matlab.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:31.373264 | #!/usr/bin/python
# coding: UTF-8
#
# Author: Dawid Laszuk
# Contact: https://github.com/laszukdawid/PyEMD/issues
#
# Edited: 11/05/2017
#
# Feel free to contact for any information.
import logging
import time
import numpy as np
from scipy.interpolate import interp1d
from PyEMD.splines import ak... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/experimental/jitemd.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:31.962517 | #!/usr/bin/python
# coding: UTF-8
#
# Author: Dawid Laszuk
# Issues: https://github.com/laszukdawid/PyEMD/issues
"""
Uses Numba (https://numba.pydata.org/) as a Just-in-Time (JIT)
compiler for Python, mostly Numpy. Just-in-time compilation means that
the code is compiled (machine code) during execution, and ... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/splines.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:32.395199 | import numpy as np
from scipy.interpolate import Akima1DInterpolator, CubicHermiteSpline, CubicSpline, PchipInterpolator
def cubic_spline_3pts(x, y, T):
"""
Apparently scipy.interpolate.interp1d does not support
cubic spline for less than 4 points.
"""
x0, x1, x2 = x
y0, y1, y2 = y
... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/tests/test_checks.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:32.396665 | """Tests for checks.py."""
import unittest
import numpy as np
from PyEMD.checks import energy, mean_period, significance_aposteriori, significance_apriori, whitenoise_check
class TestCase(unittest.TestCase):
"""Test cases."""
def test_mean_period(self):
"""Test to check if mean period output is co... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/tests/test_eemd.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:32.402599 | import unittest
import numpy as np
from PyEMD import EEMD
class EEMDTest(unittest.TestCase):
@staticmethod
def cmp_msg(a, b):
return "Expected {}, Returned {}".format(a, b)
@staticmethod
def test_default_call_EEMD():
T = np.arange(50)
S = np.cos(T * 0.1)
max_imf = 2
... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/tests/test_emd.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:32.406338 | import unittest
import numpy as np
from PyEMD import EMD
class EMDTest(unittest.TestCase):
@staticmethod
def test_default_call_EMD():
T = np.arange(50)
S = np.cos(T * 0.1)
max_imf = 2
emd = EMD()
emd(S, T, max_imf)
def test_different_length_input(self):
... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/tests/test_bemd.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:32.409920 | #!/usr/bin/python
# Coding: UTF-8
import unittest
import numpy as np
try:
from PyEMD.BEMD import BEMD
except (ImportError, ModuleNotFoundError):
# Not supported until supported.
pass
@unittest.skip("Not supported until supported")
class BEMDTest(unittest.TestCase):
def setUp(self) -> ... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/tests/test_ceemdan.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:32.411293 | import unittest
import numpy as np
from PyEMD import CEEMDAN
class CEEMDANTest(unittest.TestCase):
@staticmethod
def cmp_msg(a, b):
return "Expected {}, Returned {}".format(a, b)
@staticmethod
def test_default_call_CEEMDAN():
T = np.arange(50)
S = np.cos(T * 0.1)
max... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/tests/test_all.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:33.454839 | import sys
import unittest
if __name__ == "__main__":
test_suite = unittest.defaultTestLoader.discover(".", "*test*.py")
test_runner = unittest.TextTestRunner(resultclass=unittest.TextTestResult)
result = test_runner.run(test_suite)
sys.exit(not result.wasSuccessful())
|
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/tests/test_compact.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:33.607799 | #!/usr/bin/python
# Coding: UTF-8
import unittest
import numpy as np
import scipy as sp
from PyEMD.compact import *
class CompactTest(unittest.TestCase):
@staticmethod
def create_signal():
# Do NOT modify this function! If you do, the following can happen:
# -- Possible test errors for filt... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/tests/test_emd2d.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:33.638953 | #!/usr/bin/python
# Coding: UTF-8
import unittest
import numpy as np
from PyEMD.EMD2d import EMD2D
@unittest.skip("Not supported until supported")
class ImageEMDTest(unittest.TestCase):
def setUp(self) -> None:
self.emd2d = EMD2D()
@staticmethod
def _generate_image(r=64, c=64):
return ... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/tests/test_emd_matlab.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:33.790882 | import unittest
import numpy as np
from PyEMD.EMD_matlab import EMD
class EMDMatlabTest(unittest.TestCase):
@staticmethod
def test_default_call_EMD():
T = np.arange(0, 1, 0.01)
S = np.cos(2 * T * 2 * np.pi)
max_imf = 2
emd = EMD()
emd.emd(emd, S, T, max_imf)
def... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/tests/test_utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:33.798926 | import unittest
import numpy as np
from PyEMD.utils import deduce_common_type, get_timeline, unify_types
class MyTestCase(unittest.TestCase):
def test_get_timeline_default_dtype(self):
S = np.random.random(100)
T = get_timeline(len(S))
self.assertEqual(len(T), len(S), "Lengths must be e... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/tests/test_extrema.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:33.813932 | #!/usr/bin/python
# Coding: UTF-8
import unittest
import numpy as np
from PyEMD import EMD
class ExtremaTest(unittest.TestCase):
def test_incorrectExtremaDetectionSetup(self):
extrema_detection = "bubble_gum"
# Sanity check
emd = EMD()
self.assertFalse(emd.extrema_detection == ... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/tests/test_splines.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:33.843452 | #!/usr/bin/python
# Coding: UTF-8
import unittest
import numpy as np
from PyEMD import EMD
from PyEMD.splines import *
class IMFTest(unittest.TestCase):
"""
Since these tests depend heavily on NumPy & SciPy,
make sure you have NumPy >= 1.12 and SciPy >= 0.19.
"""
def test_unsu... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/visualisation.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:34.040144 | import numpy as np
from scipy.signal import hilbert
from PyEMD.compact import filt6, pade6
# Visualisation is an optional module. To minimise installation, `matplotlib` is not added
# by default. Please install extras with `pip install -r requirement-extra.txt`.
try:
import pylab as plt
except ImportError:
pa... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | example/eemd_example.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:35.039087 | # Author: Dawid Laszuk
# Last update: 7/07/2017
from PyEMD import EEMD
import numpy as np
import pylab as plt
# Define signal
t = np.linspace(0, 1, 200)
sin = lambda x, p: np.sin(2 * np.pi * x * t + p)
S = 3 * sin(18, 0.2) * (t - 0.2) ** 2
S += 5 * sin(11, 2.7)
S += 3 * sin(14, 1.6)
S += 1 * np.sin(4 * 2 * np.pi * (t... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | example/jit_emd_class_example.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:35.106455 | import numpy as np
from PyEMD.experimental.jitemd import JitEMD, get_timeline
rng = np.random.RandomState(4132)
s = rng.random(500)
t = get_timeline(len(s), s.dtype)
emd = JitEMD(spline_kind="akima")
imfs = emd(s, t)
print(imfs)
print(imfs.shape)
|
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | example/emd_comparison.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:35.140169 | """
This example shows very high numbers for JIT because on import the JitEMD is compiled
making it very efficient. It takes a good 20+ seconds to compile which is hidden.
For this reason, JitEMD is worthy when iterating on live notebook or performing
a lot of the same computation within a single execution. For a sing... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | example/example_spline_capabilities.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:35.141443 | #!/usr/bin/env python3
# Coding: UTF-8
import numpy as np
import matplotlib.pyplot as plt
from PyEMD import EMD
from PyEMD.splines import *
from PyEMD.utils import get_timeline
def test_spline(X, T, s_kind):
"""
Test the fitting with the given spline.
Parameters
----------
X ... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | example/hht_example.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:35.239843 | import numpy as np
import pylab as plt
from scipy.signal import hilbert
from PyEMD import EMD
def instant_phase(imfs):
"""Extract analytical signal through Hilbert Transform."""
analytic_signal = hilbert(imfs) # Apply Hilbert transform to each row
phase = np.unwrap(np.angle(analytic_signal)) # Compute ... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | example/jit_emd_function_example.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:35.614541 | import copy
import numpy as np
from PyEMD.experimental.jitemd import emd, default_emd_config
from PyEMD.experimental.jitemd import get_timeline
rng = np.random.RandomState(4132)
s = rng.random(500)
t = get_timeline(len(s), s.dtype)
config = copy.copy(default_emd_config)
config["FIXE"] = 5
imfs = emd(s, t, spline_kin... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | example/simple_example.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:35.705999 | # Author: Dawid Laszuk
# Last update: 7/07/2017
import numpy as np
import pylab as plt
from PyEMD import EMD
# Define signal
t = np.linspace(0, 1, 200)
s = np.cos(11 * 2 * np.pi * t * t) + 6 * t * t
# Execute EMD on signal
IMF = EMD().emd(s, t)
N = IMF.shape[0] + 1
# Plot results
plt.subplot(N, 1, 1)
plt.plot(t, s, ... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | example/image_example.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:35.726667 | # Author: Dawid Laszuk
# Last update: 7/07/2017
import numpy as np
import pylab as plt
from PyEMD import EMD2D
# Generate image
print("Generating image... ", end="")
rows, cols = 1024, 1024
row_scale, col_scale = 256, 256
x = np.arange(rows) / float(row_scale)
y = np.arange(cols).reshape((-1, 1)) / float(col_scale)
p... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | perf_test/compare_results.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:35.744744 | #!/usr/bin/env python
"""
Compare two PyEMD performance test results.
Usage:
python compare_results.py <baseline> <comparison>
python compare_results.py results/20241201_120000_full results/20241202_120000_full
Options:
--threshold PERCENT Highlight changes greater than this percentage (default: 5)
-... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | noxfile.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:35.817892 | import nox
# Use uv for faster dependency installation and Python version management
nox.options.default_venv_backend = "uv"
# Test against all currently supported Python versions (3.10+)
PYTHON_VERSIONS = ["3.9", "3.10", "3.11", "3.12", "3.13"]
@nox.session(python=PYTHON_VERSIONS)
def tests(session: nox.Session) -... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | perf_test/perf_test.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:35.829028 | import numpy as np
from PyEMD import EMD
def test_prepare_points_simple(benchmark):
emd = EMD()
T_max = 50
T = np.linspace(0, T_max, 10000)
S = np.sin(T * 2 * np.pi)
# max_pos = np.array([0.25, 1.25, 2.25, 3.25], dtype=np.float32)
max_pos = np.arange(T_max - 1, dtype=np.float32) + 0.25
ma... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | perf_test/perf_test_comprehensive.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:37.279461 | """
Comprehensive Performance Test Suite for PyEMD
This module tests various performance aspects of the EMD library:
1. EMD scaling with signal length
2. EMD with different spline methods
3. EMD with different extrema detection methods
4. EEMD parallel scaling
5. CEEMDAN performance characteristics
Run with: .venv/bi... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | perf_test/perf_test_jitemd.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:37.936253 | """
Performance Test Suite for JIT-compiled EMD (jitemd.py)
This module tests various performance aspects of the JIT EMD implementation:
1. JIT compilation warmup overhead
2. JitEMD scaling with signal length
3. JitEMD vs standard EMD comparison
4. JitEMD with different spline methods
5. JitEMD with different extrema ... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/tests/test_visualization.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:38.045042 | import unittest
import numpy as np
from PyEMD import EMD
from PyEMD.visualisation import Visualisation
class VisTest(unittest.TestCase):
def test_instantiation(self):
emd = EMD()
with self.assertRaises(ValueError):
Visualisation(emd)
def test_instantiation2(self):
t = np... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/types.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:38.050833 | from typing import Union
import numpy as np
EmdArray = np.ndarray
EmdDType = np.dtype
try:
import torch
EmdArray = Union[np.ndarray, torch.Tensor]
EmdDType = Union[np.dtype, torch.dtype]
except ImportError:
pass
|
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | PyEMD/utils.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:38.065811 | import sys
from typing import Optional, Tuple
import numpy as np
if sys.version_info >= (3, 9):
from functools import cache
else:
from functools import lru_cache as cache
def get_timeline(range_max: int, dtype: Optional[np.dtype] = None) -> np.ndarray:
"""Returns timeline array for requirements.
Pa... |
laszukdawid/PyEMD | https://github.com/laszukdawid/PyEMD | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | example/jit_eemd_example.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:39.931924 | import numpy as np
from PyEMD import EEMD
from PyEMD.experimental.jitemd import JitEMD, get_timeline
s = np.random.random(100)
t = get_timeline(len(s), s.dtype)
emd = JitEMD()
eemd = EEMD(ext_EMD=emd)
imfs = eemd(s, t)
print(imfs)
print(imfs.shape)
|
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/T5/gradio_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:42.120472 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description: pip install gradio
"""
import sys
import gradio as gr
sys.path.append('../..')
from textgen import T5Model
# 中文对联生成模型(shibing624/t5-chinese-couplet)
model = T5Model("t5", "shibing624/t5-chinese-couplet")
def ai_text(sentence):
out_senten... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/T5/t5_prompt_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:42.124384 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import sys
sys.path.append('../..')
from textgen import T5Model
if __name__ == '__main__':
model = T5Model('t5', 'shibing624/prompt-t5-base-chinese', args={"eval_batch_size": 64})
sentences = [
"阅读下列对话。_女：小李，听说你的毕业设计主题是环保？男... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/T5/t5pegasus.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:42.146760 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description: 中文句子续写
refer https://github.com/renmada/t5-pegasus-pytorch
原文:蓝蓝的天上有一朵白白的云
torch预测 《蓝蓝的天上有一朵白白的云》是蓝蓝的天上有一朵白白的云创作的网络小说，发表于...
"""
import sys
from transformers.models.mt5 import MT5ForConditionalGeneration
sys.path.append('../..')
from tex... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/T5/training_byt5_model_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:42.151440 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import argparse
from loguru import logger
import pandas as pd
import os
import sys
sys.path.append('../..')
from textgen.t5 import T5Model
def load_data(prefix, file_path):
data = []
with open(file_path, 'r', encoding='utf-8') as ... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/T5/training_zh_prompt_model_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:42.158065 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
下载pCLUE的部分数据（如，pCLUE_train_1.json）到本地
wget https://raw.githubusercontent.com/CLUEbenchmark/pCLUE/main/datasets/pCLUE_train_1.json
wget https://raw.githubusercontent.com/CLUEbenchmark/pCLUE/main/datasets/pCLUE_train_2.json
wget https://raw.githu... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/T5/t5_xlsum.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:42.165308 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description: mT5多语言文本摘要模型
refer https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum
"""
import re
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
model_name = "csebuetnlp/mT5_multilingual_XLSum"
tokenizer = AutoTokenizer.from_pretrained(m... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/T5/t5_couplet_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:42.166320 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import sys
sys.path.append('../..')
from textgen.t5 import T5Model
if __name__ == '__main__':
model = T5Model('t5', 'shibing624/t5-chinese-couplet', args={"eval_batch_size": 64})
sentences = ["对联：丹枫江冷人初去", "对联：春回大地，对对黄莺鸣暖树", "对联：书香... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/T5/training_zh_t5_model_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:42.169450 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import argparse
from loguru import logger
import pandas as pd
import time
import os
import sys
sys.path.append('../..')
from textgen.t5 import T5Model
def load_data(prefix, file_path):
data = []
with open(file_path, 'r', encoding=... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/T5/training_copyt5_model_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:42.169956 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import argparse
from loguru import logger
import time
import pandas as pd
import os
import sys
sys.path.append('../..')
from textgen import CopyT5Model
def load_data(prefix, file_path):
data = []
with open(file_path, 'r', encoding... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/gpt/gradio_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:42.174004 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
pip install gradio>=3.50.2
"""
import argparse
from threading import Thread
import gradio as gr
import torch
from transformers import TextIteratorStreamer
from textgen import GptModel, get_conv_template
def main():
parser = argparse.Arg... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/gpt/inference_multigpu_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:43.053169 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description: use torchrun to inference with multi-gpus
usage:
CUDA_VISIBLE_DEVICES=0,1 torchrun --nproc_per_node 2 inference_multigpu_demo.py --model_type bloom --base_model bigscience/bloom-560m
"""
import argparse
import json
import os
import sys
import ... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/gpt/training_llama_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:43.067528 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import argparse
import sys
from loguru import logger
sys.path.append('../..')
from textgen import GptModel
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--train_file', default='../data/sharegpt_zh_100_forma... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/gpt2/training_couplet_gpt2_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:43.069408 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description: 使用GPT2模型做对联生成任务，prompt为上联，自动对下联
本示例自定义了GPT2模型的Dataset，使其完成类似seq2seq的生成任务，可以适配对话生成、对联生成、诗歌生成等任务
"""
from loguru import logger
import argparse
from transformers import BertTokenizerFast
import torch
from torch.utils.data import Dataset
import os
... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/gpt/inference_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:43.072646 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description: use deepspeed to inference with multi-gpus
usage:
CUDA_VISIBLE_DEVICES=0 python inference_demo.py --model_type baichuan --base_model shibing624/vicuna-baichuan-13b-chat --interactive
"""
import argparse
import json
import sys
sys.path.append('... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/gpt/training_chatglm_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:43.073199 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import argparse
import sys
from loguru import logger
sys.path.append('../..')
from textgen import GptModel
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--train_file', default='../data/sharegpt_zh_100_format... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/gpt2/training_zh_gpt2_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:43.074920 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import os
from loguru import logger
import argparse
from transformers import BertTokenizerFast
import sys
sys.path.append('../..')
from textgen.language_generation import LanguageGenerationModel
from textgen.language_modeling import Langua... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/text_augmentation/generate_error_char_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:43.720159 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import sys
sys.path.append('../..')
from textgen.augment import TextAugment
if __name__ == '__main__':
m = TextAugment()
sentences = [
'主要研究机器学习、深度学习、计算机视觉、智能对话系统相关内容',
'希望你们好好的跳舞',
'少先队员应该为老人让座',
'... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/songnet/training_zh_songnet_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:43.733386 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import os
import argparse
from loguru import logger
import sys
sys.path.append('../..')
from textgen.language_modeling import SongNetModel
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--train_file', default=... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/seq2seq/training_seq2seq_model_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:43.734371 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import argparse
import sys
from loguru import logger
sys.path.append('../..')
from textgen.seq2seq import Seq2SeqModel
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--train_file', default='../data/zh_dialog.... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/songnet/songnet_couplet_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:43.742912 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import sys
sys.path.append('../..')
from textgen.language_modeling import SongNetModel
if __name__ == '__main__':
# Use fine-tuned model
model = SongNetModel(model_type='songnet', model_name='shibing624/songnet-base-chinese-couplet... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/seq2seq/training_convseq2seq_model_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:43.744362 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import argparse
from loguru import logger
import sys
sys.path.append('../..')
from textgen.seq2seq import ConvSeq2SeqModel
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--train_file', default='../data/zh_dial... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/songnet/songnet_songci_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:43.779053 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import sys
sys.path.append('../..')
from textgen.language_modeling import SongNetModel
if __name__ == '__main__':
# Use fine-tuned model
model = SongNetModel(model_type='songnet', model_name='shibing624/songnet-base-chinese-songci... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/seq2seq/training_bartseq2seq_zh_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:43.856804 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import argparse
import pandas as pd
from loguru import logger
import os
from transformers import BertTokenizerFast
from transformers import BartForConditionalGeneration, Text2TextGenerationPipeline
import sys
sys.path.append('../..')
from t... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/gpt2/training_en_gpt2_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:43.909931 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import sys
sys.path.append('../..')
from textgen.language_generation import LanguageGenerationModel
from textgen.language_modeling import LanguageModelingModel
def raw(prompts):
model = LanguageGenerationModel("gpt2", "gpt2", args={... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/seq2seq/training_bartseq2seq_toy_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:43.932811 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import argparse
import pandas as pd
from loguru import logger
import os
import sys
sys.path.append('../..')
from textgen.seq2seq import BartSeq2SeqModel
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--model_t... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/seq2seq/training_bartseq2seq_en_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:43.933447 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import os
import argparse
import pandas as pd
from loguru import logger
import sys
sys.path.append('../..')
from textgen.seq2seq import BartSeq2SeqModel
def load_qa_data(file_path):
data = []
with open(file_path, 'r', encoding='ut... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/text_augmentation/text_augmentation_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:44.303625 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import sys
sys.path.append('../..')
from textgen.augment import TextAugment
if __name__ == '__main__':
m = TextAugment()
a = '主要研究机器学习、深度学习、计算机视觉、智能对话系统相关内容'
print(a)
b = m.augment(a, aug_ops='random-0.2')
print('rand... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/answer_by_chatgpt.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:44.323482 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import argparse
import json
import os
import time
import openai
from loguru import logger
from tenacity import (
retry,
stop_after_attempt,
wait_random_exponential,
)
from tqdm import tqdm
openai.api_key = os.getenv("OPENAI_API... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/eval/evaluate_ceval.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:44.325245 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
code from https://github.com/QwenLM/Qwen-7B/blob/main/eval/EVALUATION.md
usage:
wget https://huggingface.co/datasets/ceval/ceval-exam/resolve/main/ceval-exam.zip
mkdir data/ceval
mv ceval-exam.zip data/ceval
cd data/ceval; unzip ceval-exam.zip... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | examples/unsup_generation/unsup_generation_demo.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:44.369940 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import os
import sys
sys.path.append('../..')
from textgen.unsup_generation import TglsModel, load_list
pwd_path = os.path.abspath(os.path.dirname(__file__))
samples = load_list(os.path.join(pwd_path, './data/ecommerce_comments.txt'))
m ... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/convert_to_sharegpt_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:44.370471 | """
Convert alpaca dataset into sharegpt format.
Usage: python convert_alpaca.py --in_file alpaca_data.json --out_file alpaca_data_sharegpt.json
"""
import argparse
from datasets import load_dataset
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--in_file", type=str)
... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/eval/evaluate_chat_ceval.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:44.415183 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
wget https://huggingface.co/datasets/ceval/ceval-exam/resolve/main/ceval-exam.zip
mkdir data/ceval
mv ceval-exam.zip data/ceval
cd data/ceval; unzip ceval-exam.zip
cd ../../
pip install thefuzz
python eval/evaluate_chat_ceval.py -d data/ceval
... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/eval/evaluate_chat_gsm8k.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:44.456711 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
code from https://github.com/QwenLM/Qwen-7B/blob/main/eval/EVALUATION.md
usage:
python eval/evaluate_chat_gsm8k.py [--use-fewshot]
"""
import argparse
import json
import re
from pathlib import Path
import numpy as np
import torch
import tqdm
... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/eval/evaluate_chat_humaneval.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:44.486822 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
code from https://github.com/QwenLM/Qwen-7B/blob/main/eval/EVALUATION.md
usage:
Get the HumanEval.jsonl file from [here](https://github.com/openai/human-eval/tree/master/data)
python eval/evaluate_chat_humaneval.py -f HumanEval.jsonl -o Human... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/eval/evaluate_chat_mmlu.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:44.524038 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
code from https://github.com/QwenLM/Qwen-7B/blob/main/eval/EVALUATION.md
usage:
wget https://people.eecs.berkeley.edu/~hendrycks/data.tar
mkdir data/mmlu
mv data.tar data/mmlu
cd data/mmlu; tar xf data.tar
cd ../../
pip install thefuzz
python... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/eval/evaluate_cmmlu.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:44.545336 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
code from https://github.com/QwenLM/Qwen-7B/blob/main/eval/EVALUATION.md
usage:
wget https://huggingface.co/datasets/haonan-li/cmmlu/resolve/main/cmmlu_v1_0_1.zip
mkdir data/cmmlu
mv cmmlu_v1_0_1.zip data/cmmlu
cd data/cmmlu; unzip cmmlu_v1_0_... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/eval/evaluate_gsm8k.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:44.902117 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
code from https://github.com/QwenLM/Qwen-7B/blob/main/eval/EVALUATION.md
usage:
python eval/evaluate_chat_gsm8k.py [--use-fewshot]
"""
import argparse
import re
import datasets
import jsonlines
import numpy as np
import torch
from datasets im... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/eval/evaluate_humaneval.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:44.904775 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
code from https://github.com/QwenLM/Qwen-7B/blob/main/eval/EVALUATION.md
usage:
git clone https://github.com/openai/human-eval
$ pip install -e human-eval
evaluate_functional_correctness sample-output-file
"""
import argparse
import jsonlines... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/eval/evaluate_mmlu.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:44.933526 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
code from https://github.com/QwenLM/Qwen-7B/blob/main/eval/EVALUATION.md
usage:
wget https://people.eecs.berkeley.edu/~hendrycks/data.tar
mkdir data/mmlu
mv data.tar data/mmlu
cd data/mmlu; tar xf data.tar
cd ../../
python eval/evaluate_mmlu.p... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/eval/evaluate_plugin.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:44.969704 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
code from https://github.com/QwenLM/Qwen-7B/blob/main/eval/EVALUATION.md
"""
import argparse
import json
import os
import pprint
import json5
import jsonlines
from rouge_score import rouge_scorer
from tqdm import tqdm
from transformers impor... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/generate_sft_data.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:44.971665 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import argparse
import json
import os
import re
import time
from multiprocessing.dummy import Pool
from random import choices
import openai
from loguru import logger
from tenacity import (
retry,
stop_after_attempt,
wait_random_... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/evaluate_sft_data.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:45.001146 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import argparse
import json
import os
import time
import openai
from loguru import logger
from tenacity import (
retry,
stop_after_attempt,
wait_random_exponential,
)
from tqdm import tqdm
openai.api_key = os.getenv("OPENAI_API... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | setup.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:45.045287 | # -*- coding: utf-8 -*-
from setuptools import setup, find_packages
with open('README.md', 'r', encoding='utf-8') as f:
readme = f.read()
setup(
name='textgen',
version='1.1.1',
description='Text Generation Model',
long_description=readme,
long_description_content_type='text/markdown',
au... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | tests/test_benchmark.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:45.083843 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import os
import sys
import pandas as pd
sys.path.append('..')
from textgen import GptModel
pwd_path = os.path.abspath(os.path.dirname(__file__))
def get_alpaca_prompt(instruction):
return f"""Below is an instruction that describe... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | tests/test_chatglm.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:45.084428 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import sys
sys.path.append('..')
from textgen import GptModel
def test_csc():
from pycorrector.utils import eval
model = GptModel(
'chatglm', "THUDM/chatglm-6b", peft_name="shibing624/chatglm-6b-csc-zh-lora",
arg... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | tests/test_chatglm_training.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:45.195954 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import sys
import os
import pytest
from torch.utils.data import Dataset
from datasets import load_dataset, load_from_disk
sys.path.append('..')
from textgen import GptModel
def preprocess_batch_for_hf_dataset(example, tokenizer, args):
... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | tests/test_dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:45.494038 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import sys
import pandas as pd
from loguru import logger
from transformers import AutoTokenizer
sys.path.append('..')
from textgen import GptSupervisedDataset
from textgen import GptArgs
def load_data(file_path):
return [i for i in... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | tests/test_llama.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:45.560027 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import sys
sys.path.append('..')
from textgen import GptModel
def generate_prompt(instruction):
return f"""Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | tests/test_save_args.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:45.560624 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
import sys
import pytest
import shutil
import os
from loguru import logger
from torch.utils.data import Dataset
sys.path.append('..')
from textgen import ChatGlmArgs
class MyTestDataset(Dataset):
pass
def test_save_args():
arg... |
shibing624/textgen | https://github.com/shibing624/textgen | null | null | null | null | 979 | null | null | apache-2.0 | null | null | null | null | null | null | null | textgen/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:45.593935 | # -*- coding: utf-8 -*-
"""
@author:XuMing(xuming624@qq.com)
@description:
"""
__version__ = '1.1.2'
from textgen.augment.text_augment import TextAugment
from textgen.config.model_args import LanguageGenerationArgs
from textgen.language_generation.language_generation_model import LanguageGenerationModel
from textg... |
TinyLLaVA/TinyLLaVA_Factory | https://github.com/TinyLLaVA/TinyLLaVA_Factory | null | null | null | null | 977 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/convert_mmvet_for_eval.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:47.806414 | import os
import json
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--src", type=str)
parser.add_argument("--dst", type=str)
args = parser.parse_args()
cur_result = {}
for line in open(args.src):
data = json.loads(line)
qid = data['question_id']
cur_result[f'v1_{qid}'] = data['t... |
TinyLLaVA/TinyLLaVA_Factory | https://github.com/TinyLLaVA/TinyLLaVA_Factory | null | null | null | null | 977 | null | null | apache-2.0 | null | null | null | null | null | null | null | tinyllava/data/dataset.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:47.807330 | import copy
from dataclasses import dataclass
import json
from typing import Dict, Sequence, TYPE_CHECKING
from PIL import Image, ImageFile
import os
from .text_preprocess import TextPreprocess
from .image_preprocess import ImagePreprocess
from ..utils.arguments import DataArguments
from ..utils.constants import *
... |
TinyLLaVA/TinyLLaVA_Factory | https://github.com/TinyLLaVA/TinyLLaVA_Factory | null | null | null | null | 977 | null | null | apache-2.0 | null | null | null | null | null | null | null | tinyllava/data/image_preprocess.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:47.832244 | import os
from PIL import Image, ImageFile
import torch
import ast
from ..utils.data_utils import *
ImageFile.LOAD_TRUNCATED_IMAGES = True
# 可能imagepreprocess需要继承一个huggingface的图像处理类？提供from_pretrained方法
class ImagePreprocess:
def __init__(self, image_processor, data_args={}):
self.image_aspect_ratio = g... |
TinyLLaVA/TinyLLaVA_Factory | https://github.com/TinyLLaVA/TinyLLaVA_Factory | null | null | null | null | 977 | null | null | apache-2.0 | null | null | null | null | null | null | null | tinyllava/data/__init__.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:47.833056 | from .template import *
from .image_preprocess import *
from .text_preprocess import *
from .dataset import * |
TinyLLaVA/TinyLLaVA_Factory | https://github.com/TinyLLaVA/TinyLLaVA_Factory | null | null | null | null | 977 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/convert_gqa_for_eval.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:47.856990 | import os
import json
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--src", type=str)
parser.add_argument("--dst", type=str)
args = parser.parse_args()
all_answers = []
for line_idx, line in enumerate(open(args.src)):
res = json.loads(line)
question_id = res['question_id']
text =... |
TinyLLaVA/TinyLLaVA_Factory | https://github.com/TinyLLaVA/TinyLLaVA_Factory | null | null | null | null | 977 | null | null | apache-2.0 | null | null | null | null | null | null | null | tinyllava/data/template/base.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:47.858528 | from dataclasses import dataclass
from typing import TYPE_CHECKING, Dict, List, Optional, Sequence, Tuple, Union
import copy
from .formatter import EmptyFormatter, StringFormatter
from .formatter import Formatter
from ...utils.constants import *
from transformers import PreTrainedTokenizer
import torch
@datacl... |
TinyLLaVA/TinyLLaVA_Factory | https://github.com/TinyLLaVA/TinyLLaVA_Factory | null | null | null | null | 977 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/convert_answer_to_mmmu.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:47.879418 | import argparse
import json
import os
def eval_model(args):
answers = [json.loads(q) for q in open(os.path.expanduser(args.answers_file), "r")]
answers_dict = {}
for answer in answers:
answers_dict[answer["question_id"]] = answer["text"]
# print(answer)
with open(args.answers_output, ... |
TinyLLaVA/TinyLLaVA_Factory | https://github.com/TinyLLaVA/TinyLLaVA_Factory | null | null | null | null | 977 | null | null | apache-2.0 | null | null | null | null | null | null | null | scripts/convert_vqav2_for_submission.py | null | null | null | null | null | null | Python | 2026-05-04T02:34:47.880526 | import os
import argparse
import json
from tinyllava.eval.m4c_evaluator import EvalAIAnswerProcessor
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument('--dir', type=str, default="./playground/data/eval/vqav2")
parser.add_argument('--ckpt', type=str, required=True)
parser.add_ar... |
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