Uploaded Test files

venv/Lib/site-packages/sklearn/utils/_random.pxd

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+# Authors: Arnaud Joly
+#
+# License: BSD 3 clause
+
+
+import numpy as np
+cimport numpy as np
+ctypedef np.npy_uint32 UINT32_t
+
+cdef inline UINT32_t DEFAULT_SEED = 1
+
+cdef enum:
+    # Max value for our rand_r replacement (near the bottom).
+    # We don't use RAND_MAX because it's different across platforms and
+    # particularly tiny on Windows/MSVC.
+    RAND_R_MAX = 0x7FFFFFFF
+
+cpdef sample_without_replacement(np.int_t n_population,
+                                 np.int_t n_samples,
+                                 method=*,
+                                 random_state=*)
+
+# rand_r replacement using a 32bit XorShift generator
+# See http://www.jstatsoft.org/v08/i14/paper for details
+cdef inline UINT32_t our_rand_r(UINT32_t* seed) nogil:
+    """Generate a pseudo-random np.uint32 from a np.uint32 seed"""
+    # seed shouldn't ever be 0.
+    if (seed[0] == 0): seed[0] = DEFAULT_SEED
+
+    seed[0] ^= <UINT32_t>(seed[0] << 13)
+    seed[0] ^= <UINT32_t>(seed[0] >> 17)
+    seed[0] ^= <UINT32_t>(seed[0] << 5)
+
+    # Note: we must be careful with the final line cast to np.uint32 so that
+    # the function behaves consistently across platforms.
+    #
+    # The following cast might yield different results on different platforms:
+    # wrong_cast = <UINT32_t> RAND_R_MAX + 1
+    #
+    # We can use:
+    # good_cast = <UINT32_t>(RAND_R_MAX + 1)
+    # or:
+    # cdef np.uint32_t another_good_cast = <UINT32_t>RAND_R_MAX + 1
+    return seed[0] % <UINT32_t>(RAND_R_MAX + 1)