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Create publish.yaml #11

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40556be
Create publish.yaml
Delaunay Feb 6, 2024
0673be6
Update test.yml
Delaunay Feb 6, 2024
c49ad23
Update test_transformer.py
Delaunay Feb 6, 2024
9f2b353
Update transformer.py
Delaunay Feb 6, 2024
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42 changes: 42 additions & 0 deletions .github/workflows/publish.yaml
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Original file line number Diff line number Diff line change
@@ -0,0 +1,42 @@
name: publish

on:
workflow_dispatch:

jobs:
pypi:
runs-on: ubuntu-latest

steps:
- uses: actions/checkout@v1

- name: Set up Python 3.9
uses: actions/setup-python@v2
with:
python-version: 3.9

- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install tox tox-gh-actions

- name: Test packaging
run: tox -e packaging

- name: Build
run: tox -e build

- name: Publish distribution 📦 to Test PyPI
if: startsWith(github.ref, 'refs/tags')
uses: pypa/gh-action-pypi-publish@release/v1.5
with:
user: __token__
password: ${{ secrets.TEST_PYPI_PASSWORD }}
repository_url: https://test.pypi.org/legacy/

- name: Publish distribution 📦 to PyPI
if: startsWith(github.ref, 'refs/tags')
uses: pypa/gh-action-pypi-publish@release/v1.5
with:
user: __token__
password: ${{ secrets.PYPI_PASSWORD }}
2 changes: 1 addition & 1 deletion .github/workflows/test.yml
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Expand Up @@ -18,7 +18,7 @@ jobs:
max-parallel: 4
matrix:
platform: [ubuntu-latest]
python-version: [3.6, 3.7, 3.8, 3.9, '3.10']
python-version: [3.8, 3.9, '3.10']
env:
PLATFORM: ${{ matrix.platform }}
steps:
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2 changes: 1 addition & 1 deletion sspace/orion/transformer.py
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Expand Up @@ -439,7 +439,7 @@ def __init__(self, categories):
self.categories = categories
map_dict = {cat: i for i, cat in enumerate(categories)}
self._map = numpy.vectorize(lambda x: map_dict[x], otypes="i")
self._imap = numpy.vectorize(lambda x: categories[x], otypes=[numpy.object])
self._imap = numpy.vectorize(lambda x: categories[x], otypes=[object])

def __deepcopy__(self, memo):
"""Make a deepcopy"""
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12 changes: 6 additions & 6 deletions tests/orion/test_transformer.py
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Expand Up @@ -199,19 +199,19 @@ def test_reverse(self):
]
)
)
== numpy.array([["ipsi", "asfa"], [2, "ipsi"]], dtype=numpy.object)
== numpy.array([["ipsi", "asfa"], [2, "ipsi"]], dtype=object)
)

t = Compose([Enumerate([2, "asfa"]), OneHotEncode(2)], "categorical")
assert t.reverse(0.3) == 2
assert t.reverse(2.0) == "asfa"
assert numpy.all(
t.reverse((0.0, 0.0, 0.0, 1.0))
== numpy.array([2, 2, 2, "asfa"], dtype=numpy.object)
== numpy.array([2, 2, 2, "asfa"], dtype=object)
)
assert numpy.all(
t.reverse(numpy.array([[0.55, 3.0], [-0.6, 1.0]]))
== numpy.array([["asfa", "asfa"], [2, "asfa"]], dtype=numpy.object)
== numpy.array([["asfa", "asfa"], [2, "asfa"]], dtype=object)
)

# for the crazy enough
Expand All @@ -222,7 +222,7 @@ def test_reverse(self):
assert t.reverse(-0.2) == 2
assert numpy.all(
t.reverse([[0.5, 0], [1.0, 55]])
== numpy.array([[2, 2], [2, 2]], dtype=numpy.object)
== numpy.array([[2, 2], [2, 2]], dtype=object)
)

def test_infer_target_shape(self):
Expand Down Expand Up @@ -377,7 +377,7 @@ def test_reverse(self):
t.reverse(3)
assert numpy.all(
t.reverse([[2, 1], [0, 2]])
== numpy.array([["ipsi", "asfa"], [2, "ipsi"]], dtype=numpy.object)
== numpy.array([["ipsi", "asfa"], [2, "ipsi"]], dtype=object)
)

# for the crazy enough
Expand All @@ -387,7 +387,7 @@ def test_reverse(self):
t.reverse(1)
assert numpy.all(
t.reverse([[0, 0], [0, 0]])
== numpy.array([[2, 2], [2, 2]], dtype=numpy.object)
== numpy.array([[2, 2], [2, 2]], dtype=object)
)

def test_infer_target_shape(self):
Expand Down