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Commit e145071

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adam2392adam2392
committed
Fixed
Signed-off-by: Adam Li <adam2392@gmail.com>
1 parent 4ff92e0 commit e145071
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58 files changed

+638
-598
lines changed

‎replace.py

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+40Lines changed: 40 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,40 @@
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import re
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from pathlib import Path
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from itertools import chain
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sklearn_root = Path("./sklearn")
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pyx_paths = chain(
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sklearn_root.glob("**/*.pyx"),
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sklearn_root.glob("**/*.pyx.tp"),
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sklearn_root.glob("**/*.pxi"),
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)
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nogil_colon = re.compile(r"\) nogil:")
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nogil_except_neg1 = re.compile(r"\) nogil except -1:")
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nogil_except_star = re.compile(r"\) nogil except [*]:")
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for pyx_path in pyx_paths:
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orig_contents = pyx_path.read_text()
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new_contents = nogil_colon.sub(") noexcept nogil:", orig_contents)
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new_contents = nogil_except_neg1.sub(") except -1 nogil:", new_contents)
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new_contents = nogil_except_star.sub(") except * nogil:", new_contents)
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if new_contents != orig_contents:
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pyx_path.write_text(new_contents)
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nogil_no_colon = re.compile(r"\) nogil\n")
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nogil_except_neg1_no_colon = re.compile(r"\) nogil except -1")
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nogil_except_star_no_colon = re.compile(r"\) nogil except \*")
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pxd_paths = chain(sklearn_root.glob("**/*.pxd"), sklearn_root.glob("**/*.pxd.tp"))
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for pxd_path in pxd_paths:
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orig_contents = pxd_path.read_text()
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new_contents = nogil_no_colon.sub(") noexcept nogil\n", orig_contents)
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new_contents = nogil_except_neg1_no_colon.sub(") except -1 nogil", new_contents)
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new_contents = nogil_except_star_no_colon.sub(") except * nogil", new_contents)
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if new_contents != orig_contents:
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pxd_path.write_text(new_contents)

‎sklearn/_loss/_loss.pxd

Copy file name to clipboardExpand all lines: sklearn/_loss/_loss.pxd
+27-27Lines changed: 27 additions & 27 deletions
Original file line numberDiff line numberDiff line change
@@ -20,57 +20,57 @@ ctypedef struct double_pair:
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# C base class for loss functions
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cdef class CyLossFunction:
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cdef double cy_loss(self, double y_true, double raw_prediction) nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) nogil
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cdef double cy_loss(self, double y_true, double raw_prediction) noexcept nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) noexcept nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) noexcept nogil
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cdef class CyHalfSquaredError(CyLossFunction):
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cdef double cy_loss(self, double y_true, double raw_prediction) nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) nogil
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cdef double cy_loss(self, double y_true, double raw_prediction) noexcept nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) noexcept nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) noexcept nogil
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cdef class CyAbsoluteError(CyLossFunction):
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cdef double cy_loss(self, double y_true, double raw_prediction) nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) nogil
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cdef double cy_loss(self, double y_true, double raw_prediction) noexcept nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) noexcept nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) noexcept nogil
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cdef class CyPinballLoss(CyLossFunction):
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cdef readonly double quantile # readonly makes it accessible from Python
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cdef double cy_loss(self, double y_true, double raw_prediction) nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) nogil
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cdef double cy_loss(self, double y_true, double raw_prediction) noexcept nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) noexcept nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) noexcept nogil
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cdef class CyHalfPoissonLoss(CyLossFunction):
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cdef double cy_loss(self, double y_true, double raw_prediction) nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) nogil
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cdef double cy_loss(self, double y_true, double raw_prediction) noexcept nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) noexcept nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) noexcept nogil
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cdef class CyHalfGammaLoss(CyLossFunction):
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cdef double cy_loss(self, double y_true, double raw_prediction) nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) nogil
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cdef double cy_loss(self, double y_true, double raw_prediction) noexcept nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) noexcept nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) noexcept nogil
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cdef class CyHalfTweedieLoss(CyLossFunction):
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cdef readonly double power # readonly makes it accessible from Python
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cdef double cy_loss(self, double y_true, double raw_prediction) nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) nogil
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cdef double cy_loss(self, double y_true, double raw_prediction) noexcept nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) noexcept nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) noexcept nogil
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cdef class CyHalfTweedieLossIdentity(CyLossFunction):
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cdef readonly double power # readonly makes it accessible from Python
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cdef double cy_loss(self, double y_true, double raw_prediction) nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) nogil
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cdef double cy_loss(self, double y_true, double raw_prediction) noexcept nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) noexcept nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) noexcept nogil
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cdef class CyHalfBinomialLoss(CyLossFunction):
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cdef double cy_loss(self, double y_true, double raw_prediction) nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) nogil
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cdef double cy_loss(self, double y_true, double raw_prediction) noexcept nogil
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cdef double cy_gradient(self, double y_true, double raw_prediction) noexcept nogil
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cdef double_pair cy_grad_hess(self, double y_true, double raw_prediction) noexcept nogil

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