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| author | Charles Harris <charlesr.harris@gmail.com> | 2022-01-13 09:03:17 -0700 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2022-01-13 09:03:17 -0700 |
| commit | c6d95f57bff1ae390b3539bd46f1c74695b861eb (patch) | |
| tree | 97539532377c89f6dd8468c82b7501f0bc8cde54 /numpy/random | |
| parent | 5fee4748117e752c42ee489810f272b3e65dffd3 (diff) | |
| parent | 58dbe260a2e41c31f1ab03e1abdb1f01da4c1edc (diff) | |
| download | numpy-c6d95f57bff1ae390b3539bd46f1c74695b861eb.tar.gz | |
Merge pull request #20811 from DimitriPapadopoulos/repeated
MAINT, DOC: discard repeated words
Diffstat (limited to 'numpy/random')
| -rw-r--r-- | numpy/random/_common.pyx | 2 | ||||
| -rw-r--r-- | numpy/random/_examples/cython/extending.pyx | 2 | ||||
| -rw-r--r-- | numpy/random/bit_generator.pyx | 2 | ||||
| -rw-r--r-- | numpy/random/tests/test_generator_mt19937.py | 2 |
4 files changed, 4 insertions, 4 deletions
diff --git a/numpy/random/_common.pyx b/numpy/random/_common.pyx index 864150458..607034a38 100644 --- a/numpy/random/_common.pyx +++ b/numpy/random/_common.pyx @@ -65,7 +65,7 @@ cdef object random_raw(bitgen_t *bitgen, object lock, object size, object output Notes ----- - This method directly exposes the the raw underlying pseudo-random + This method directly exposes the raw underlying pseudo-random number generator. All values are returned as unsigned 64-bit values irrespective of the number of bits produced by the PRNG. diff --git a/numpy/random/_examples/cython/extending.pyx b/numpy/random/_examples/cython/extending.pyx index 3a7f81aa0..30efd7447 100644 --- a/numpy/random/_examples/cython/extending.pyx +++ b/numpy/random/_examples/cython/extending.pyx @@ -31,7 +31,7 @@ def uniform_mean(Py_ssize_t n): random_values = np.empty(n) # Best practice is to acquire the lock whenever generating random values. # This prevents other threads from modifying the state. Acquiring the lock - # is only necessary if if the GIL is also released, as in this example. + # is only necessary if the GIL is also released, as in this example. with x.lock, nogil: for i in range(n): random_values[i] = rng.next_double(rng.state) diff --git a/numpy/random/bit_generator.pyx b/numpy/random/bit_generator.pyx index 123d77b40..fe45f85b0 100644 --- a/numpy/random/bit_generator.pyx +++ b/numpy/random/bit_generator.pyx @@ -576,7 +576,7 @@ cdef class BitGenerator(): Notes ----- - This method directly exposes the the raw underlying pseudo-random + This method directly exposes the raw underlying pseudo-random number generator. All values are returned as unsigned 64-bit values irrespective of the number of bits produced by the PRNG. diff --git a/numpy/random/tests/test_generator_mt19937.py b/numpy/random/tests/test_generator_mt19937.py index e16a82973..7c61038a4 100644 --- a/numpy/random/tests/test_generator_mt19937.py +++ b/numpy/random/tests/test_generator_mt19937.py @@ -2563,7 +2563,7 @@ class TestSingleEltArrayInput: def test_jumped(config): # Each config contains the initial seed, a number of raw steps # the sha256 hashes of the initial and the final states' keys and - # the position of of the initial and the final state. + # the position of the initial and the final state. # These were produced using the original C implementation. seed = config["seed"] steps = config["steps"] |