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| author | Sebastian Berg <sebastian@sipsolutions.net> | 2021-03-19 14:22:51 -0500 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2021-03-19 14:22:51 -0500 |
| commit | f282603bf1c210e44ffc34e6a464c17a4851a58a (patch) | |
| tree | 63b3fa7a0b22409a0caa06b42b828cd884d709a8 | |
| parent | 60cd9d717524e5a003bee9e4270b9c6b8144a7af (diff) | |
| parent | 9aacb3a2a736ed5e0ec885e3b7cae9629c683ef2 (diff) | |
| download | numpy-f282603bf1c210e44ffc34e6a464c17a4851a58a.tar.gz | |
Merge pull request #18649 from bashtage/cdef-type
MAINT: Add missing type to cdef statement
| -rw-r--r-- | numpy/random/_common.pyx | 4 | ||||
| -rw-r--r-- | numpy/random/_generator.pyx | 2 | ||||
| -rw-r--r-- | numpy/random/mtrand.pyx | 2 |
3 files changed, 4 insertions, 4 deletions
diff --git a/numpy/random/_common.pyx b/numpy/random/_common.pyx index 19fb34d4d..719647c3e 100644 --- a/numpy/random/_common.pyx +++ b/numpy/random/_common.pyx @@ -219,8 +219,8 @@ cdef np.ndarray int_to_array(object value, object name, object bits, object uint cdef validate_output_shape(iter_shape, np.ndarray output): - cdef np.npy_intp *shape - cdef ndim, i + cdef np.npy_intp *dims + cdef np.npy_intp ndim, i cdef bint error dims = np.PyArray_DIMS(output) ndim = np.PyArray_NDIM(output) diff --git a/numpy/random/_generator.pyx b/numpy/random/_generator.pyx index bf83c4a0c..17a52a8d5 100644 --- a/numpy/random/_generator.pyx +++ b/numpy/random/_generator.pyx @@ -1745,7 +1745,7 @@ cdef class Generator: either positive or negative, hence making our test 2-tailed. Because we are estimating the mean and we have N=11 values in our sample, - we have N-1=10 degrees of freedom. We set our signifance level to 95% and + we have N-1=10 degrees of freedom. We set our significance level to 95% and compute the t statistic using the empirical mean and empirical standard deviation of our intake. We use a ddof of 1 to base the computation of our empirical standard deviation on an unbiased estimate of the variance (note: diff --git a/numpy/random/mtrand.pyx b/numpy/random/mtrand.pyx index e5083bdf1..23cb5ea31 100644 --- a/numpy/random/mtrand.pyx +++ b/numpy/random/mtrand.pyx @@ -2156,7 +2156,7 @@ cdef class RandomState: either positive or negative, hence making our test 2-tailed. Because we are estimating the mean and we have N=11 values in our sample, - we have N-1=10 degrees of freedom. We set our signifance level to 95% and + we have N-1=10 degrees of freedom. We set our significance level to 95% and compute the t statistic using the empirical mean and empirical standard deviation of our intake. We use a ddof of 1 to base the computation of our empirical standard deviation on an unbiased estimate of the variance (note: |