From 757d9882599a4b689f901e1f1a41dc3c6f408887 Mon Sep 17 00:00:00 2001
From: hARRY <hari.prasath@zohocorp.com>
Date: Thu, 31 Jan 2019 01:55:51 +0530
Subject: [PATCH] float64_t support removed

---
 seqlearn/_decode/bestfirst.pyx | 12 ++++++------
 seqlearn/_decode/viterbi.pyx   | 14 +++++++-------
 seqlearn/_utils/safeadd.pyx    |  4 ++--
 3 files changed, 15 insertions(+), 15 deletions(-)

diff --git a/seqlearn/_decode/bestfirst.pyx b/seqlearn/_decode/bestfirst.pyx
index d731de1..1954919 100644
--- a/seqlearn/_decode/bestfirst.pyx
+++ b/seqlearn/_decode/bestfirst.pyx
@@ -6,16 +6,16 @@ import numpy as np
 
 np.import_array()
 
-cdef np.float64_t NEGINF = -np.inf
+cdef np.float64 NEGINF = -np.inf
 
 
 @cython.boundscheck(False)
 @cython.wraparound(False)
-def bestfirst(np.ndarray[ndim=2, dtype=np.float64_t] score,
+def bestfirst(np.ndarray[ndim=2, dtype=np.float64] score,
               trans_score,
-              np.ndarray[ndim=2, dtype=np.float64_t] trans,
-              np.ndarray[ndim=1, dtype=np.float64_t, mode="c"] init,
-              np.ndarray[ndim=1, dtype=np.float64_t, mode="c"] final):
+              np.ndarray[ndim=2, dtype=np.float64] trans,
+              np.ndarray[ndim=1, dtype=np.float64, mode="c"] init,
+              np.ndarray[ndim=1, dtype=np.float64, mode="c"] final):
     """First-order heuristic best-first decoder.
 
     See viterbi for the arguments. score may be overwritten.
@@ -24,7 +24,7 @@ def bestfirst(np.ndarray[ndim=2, dtype=np.float64_t] score,
 
     cdef:
         np.ndarray[ndim=1, dtype=np.npy_intp, mode="c"] path
-        np.float64_t candidate, maxval
+        np.float64 candidate, maxval
         np.npy_intp i, j, maxind, n_samples, n_states
 
     if trans_score is not None:
diff --git a/seqlearn/_decode/viterbi.pyx b/seqlearn/_decode/viterbi.pyx
index 9498325..53d49f3 100644
--- a/seqlearn/_decode/viterbi.pyx
+++ b/seqlearn/_decode/viterbi.pyx
@@ -8,16 +8,16 @@ import numpy as np
 
 np.import_array()
 
-cdef np.float64_t NEGINF = -np.inf
+cdef np.float64 NEGINF = -np.inf
 
 
 @cython.boundscheck(False)
 @cython.wraparound(False)
-def viterbi(np.ndarray[ndim=2, dtype=np.float64_t] score,
-            np.ndarray[ndim=3, dtype=np.float64_t] trans_score,
-            np.ndarray[ndim=2, dtype=np.float64_t] b_trans,
-            np.ndarray[ndim=1, dtype=np.float64_t] init,
-            np.ndarray[ndim=1, dtype=np.float64_t] final):
+def viterbi(np.ndarray[ndim=2, dtype=np.float64] score,
+            np.ndarray[ndim=3, dtype=np.float64] trans_score,
+            np.ndarray[ndim=2, dtype=np.float64] b_trans,
+            np.ndarray[ndim=1, dtype=np.float64] init,
+            np.ndarray[ndim=1, dtype=np.float64] final):
     """First-order Viterbi algorithm.
 
     Parameters
@@ -41,7 +41,7 @@ def viterbi(np.ndarray[ndim=2, dtype=np.float64_t] score,
 
     cdef np.ndarray[ndim=2, dtype=np.npy_intp, mode='c'] backp
     cdef np.ndarray[ndim=1, dtype=np.npy_intp, mode='c'] path
-    cdef np.float64_t candidate, maxval
+    cdef np.float64 candidate, maxval
     cdef np.npy_intp i, j, k, n_samples, n_states
 
     n_samples, n_states = score.shape[0], score.shape[1]
diff --git a/seqlearn/_utils/safeadd.pyx b/seqlearn/_utils/safeadd.pyx
index 89d7d14..3324d9b 100644
--- a/seqlearn/_utils/safeadd.pyx
+++ b/seqlearn/_utils/safeadd.pyx
@@ -10,7 +10,7 @@ np.import_array()
 
 @cython.boundscheck(False)
 @cython.wraparound(False)
-def safe_add(np.ndarray[ndim=2, dtype=np.float64_t] A, B):
+def safe_add(np.ndarray[ndim=2, dtype=np.float] A, B):
     """A += B where B is a sparse (CSR or CSC) matrix.
 
     __rsub__ on a sparse matrix densifies prior to subtracting, making it
@@ -20,7 +20,7 @@ def safe_add(np.ndarray[ndim=2, dtype=np.float64_t] A, B):
     """
 
     cdef:
-        np.ndarray[ndim=1, dtype=np.float64_t, mode="c"] data
+        np.ndarray[ndim=1, dtype=np.float, mode="c"] data
         np.ndarray[ndim=1, dtype=int, mode="c"] indices
         np.ndarray[ndim=1, dtype=int, mode="c"] indptr