build: bump version 0.7.3 → 0.7.4
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@ -1,5 +1,5 @@
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[bumpversion]
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current_version = 0.7.3
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current_version = 0.7.4
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commit = True
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tag = True
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parse = (?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)
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@ -23,7 +23,7 @@ author = "Jensun Ravichandran"
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# The full version, including alpha/beta/rc tags
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#
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release = "0.7.3"
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release = "0.7.4"
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# -- General configuration ---------------------------------------------------
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@ -17,7 +17,7 @@ from .core import similarities # noqa: F401
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from .core import transforms # noqa: F401
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# Core Setup
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__version__ = "0.7.3"
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__version__ = "0.7.4"
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__all_core__ = [
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"competitions",
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4
setup.py
4
setup.py
@ -20,7 +20,7 @@ with open("README.md", "r") as fh:
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INSTALL_REQUIRES = [
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"torch>=1.3.1",
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"torchvision>=0.7.3",
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"torchvision>=0.7.4",
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"numpy>=1.9.1",
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"sklearn",
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"matplotlib",
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@ -51,7 +51,7 @@ ALL = DATASETS + DEV + DOCS + EXAMPLES + TESTS
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setup(
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name="prototorch",
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version="0.7.3",
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version="0.7.4",
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description="Highly extensible, GPU-supported "
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"Learning Vector Quantization (LVQ) toolbox "
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"built using PyTorch and its nn API.",
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