Instructions to use jonl521/modeling_simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonl521/modeling_simple with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jonl521/modeling_simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .venv/lib/python3.14/site-packages/numpy/f2py/tests/test_isoc.py from jonl521/modeling_simple: direct link, hf CLI and curl.
- Browser
- Download file 1.43 kB
-
https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/f2py/tests/test_isoc.py
- Command line
-
hf download hf://jonl521/modeling_simple/.venv/lib/python3.14/site-packages/numpy/f2py/tests/test_isoc.py
-
curl -L -o test_isoc.py https://huggingface.co/jonl521/modeling_simple/resolve/main/.venv/lib/python3.14/site-packages/numpy/f2py/tests/test_isoc.py
1.43 kB
| import pytest | |
| import numpy as np | |
| from numpy.testing import assert_allclose | |
| from . import util | |
| class TestISOC(util.F2PyTest): | |
| sources = [ | |
| util.getpath("tests", "src", "isocintrin", "isoCtests.f90"), | |
| ] | |
| # gh-24553 | |
| def test_c_double(self): | |
| out = self.module.coddity.c_add(1, 2) | |
| exp_out = 3 | |
| assert out == exp_out | |
| # gh-9693 | |
| def test_bindc_function(self): | |
| out = self.module.coddity.wat(1, 20) | |
| exp_out = 8 | |
| assert out == exp_out | |
| # gh-25207 | |
| def test_bindc_kinds(self): | |
| out = self.module.coddity.c_add_int64(1, 20) | |
| exp_out = 21 | |
| assert out == exp_out | |
| # gh-25207 | |
| def test_bindc_add_arr(self): | |
| a = np.array([1, 2, 3]) | |
| b = np.array([1, 2, 3]) | |
| out = self.module.coddity.add_arr(a, b) | |
| exp_out = a * 2 | |
| assert_allclose(out, exp_out) | |
| def test_process_f2cmap_dict(): | |
| from numpy.f2py.auxfuncs import process_f2cmap_dict | |
| f2cmap_all = {"integer": {"8": "rubbish_type"}} | |
| new_map = {"INTEGER": {"4": "int"}} | |
| c2py_map = {"int": "int", "rubbish_type": "long"} | |
| exp_map, exp_maptyp = ({"integer": {"8": "rubbish_type", "4": "int"}}, ["int"]) | |
| # Call the function | |
| res_map, res_maptyp = process_f2cmap_dict(f2cmap_all, new_map, c2py_map) | |
| # Assert the result is as expected | |
| assert res_map == exp_map | |
| assert res_maptyp == exp_maptyp | |