PERF: make all inference routines cpdef bint

Author: jreback

pandas/lib.pyx

@@ -257,7 +257,7 @@ cdef double INF = <double> np.inf
 cdef double NEGINF = -INF
 
 
-cpdef checknull(object val):
+cpdef bint checknull(object val):
     if util.is_float_object(val) or util.is_complex_object(val):
         return val != val # and val != INF and val != NEGINF
     elif util.is_datetime64_object(val):
@@ -272,7 +272,7 @@ cpdef checknull(object val):
         return _checknull(val)
 
 
-cpdef checknull_old(object val):
+cpdef bint checknull_old(object val):
     if util.is_float_object(val) or util.is_complex_object(val):
         return val != val or val == INF or val == NEGINF
     elif util.is_datetime64_object(val):
@@ -287,21 +287,21 @@ cpdef checknull_old(object val):
         return util._checknull(val)
 
 
-cpdef isposinf_scalar(object val):
+cpdef bint isposinf_scalar(object val):
     if util.is_float_object(val) and val == INF:
         return True
     else:
         return False
 
 
-cpdef isneginf_scalar(object val):
+cpdef bint isneginf_scalar(object val):
     if util.is_float_object(val) and val == NEGINF:
         return True
     else:
         return False
 
 
-def isscalar(object val):
+cpdef bint isscalar(object val):
     """
     Return True if given value is scalar.
 

pandas/src/inference.pyx

@@ -14,29 +14,31 @@ from util cimport (UINT8_MAX, UINT16_MAX, UINT32_MAX, UINT64_MAX,
 # core.common import for fast inference checks
 
 
-def is_float(object obj):
+cpdef bint is_float(object obj):
     return util.is_float_object(obj)
 
 
-def is_integer(object obj):
+cpdef bint is_integer(object obj):
     return util.is_integer_object(obj)
 
 
-def is_bool(object obj):
+cpdef bint is_bool(object obj):
     return util.is_bool_object(obj)
 
 
-def is_complex(object obj):
+cpdef bint is_complex(object obj):
     return util.is_complex_object(obj)
 
 
-def is_decimal(object obj):
+cpdef bint is_decimal(object obj):
     return isinstance(obj, Decimal)
 
+
 cpdef bint is_period(object val):
     """ Return a boolean if this is a Period object """
     return util.is_period_object(val)
 
+
 _TYPE_MAP = {
     'categorical': 'categorical',
     'category': 'categorical',
@@ -234,7 +236,7 @@ def infer_dtype(object _values):
     return 'mixed'
 
 
-def is_possible_datetimelike_array(object arr):
+cpdef bint is_possible_datetimelike_array(object arr):
     # determine if we have a possible datetimelike (or null-like) array
     cdef:
         Py_ssize_t i, n = len(arr)
@@ -319,7 +321,7 @@ cdef inline bint is_timedelta(object o):
     return PyDelta_Check(o) or util.is_timedelta64_object(o)
 
 
-def is_bool_array(ndarray values):
+cpdef bint is_bool_array(ndarray values):
     cdef:
         Py_ssize_t i, n = len(values)
         ndarray[object] objbuf
@@ -340,11 +342,7 @@ def is_bool_array(ndarray values):
         return False
 
 
-def is_integer(object o):
-    return util.is_integer_object(o)
-
-
-def is_integer_array(ndarray values):
+cpdef bint is_integer_array(ndarray values):
     cdef:
         Py_ssize_t i, n = len(values)
         ndarray[object] objbuf
@@ -365,7 +363,7 @@ def is_integer_array(ndarray values):
         return False
 
 
-def is_integer_float_array(ndarray values):
+cpdef bint is_integer_float_array(ndarray values):
     cdef:
         Py_ssize_t i, n = len(values)
         ndarray[object] objbuf
@@ -388,7 +386,7 @@ def is_integer_float_array(ndarray values):
         return False
 
 
-def is_float_array(ndarray values):
+cpdef bint is_float_array(ndarray values):
     cdef:
         Py_ssize_t i, n = len(values)
         ndarray[object] objbuf
@@ -409,7 +407,7 @@ def is_float_array(ndarray values):
         return False
 
 
-def is_string_array(ndarray values):
+cpdef bint is_string_array(ndarray values):
     cdef:
         Py_ssize_t i, n = len(values)
         ndarray[object] objbuf
@@ -431,7 +429,7 @@ def is_string_array(ndarray values):
         return False
 
 
-def is_unicode_array(ndarray values):
+cpdef bint is_unicode_array(ndarray values):
     cdef:
         Py_ssize_t i, n = len(values)
         ndarray[object] objbuf
@@ -452,7 +450,7 @@ def is_unicode_array(ndarray values):
         return False
 
 
-def is_bytes_array(ndarray values):
+cpdef bint is_bytes_array(ndarray values):
     cdef:
         Py_ssize_t i, n = len(values)
         ndarray[object] objbuf
@@ -473,7 +471,7 @@ def is_bytes_array(ndarray values):
         return False
 
 
-def is_datetime_array(ndarray[object] values):
+cpdef bint is_datetime_array(ndarray[object] values):
     cdef Py_ssize_t i, null_count = 0, n = len(values)
     cdef object v
     if n == 0:
@@ -491,7 +489,7 @@ def is_datetime_array(ndarray[object] values):
     return null_count != n
 
 
-def is_datetime64_array(ndarray values):
+cpdef bint is_datetime64_array(ndarray values):
     cdef Py_ssize_t i, null_count = 0, n = len(values)
     cdef object v
     if n == 0:
@@ -509,7 +507,7 @@ def is_datetime64_array(ndarray values):
     return null_count != n
 
 
-cpdef is_datetime_with_singletz_array(ndarray[object] values):
+cpdef bint is_datetime_with_singletz_array(ndarray[object] values):
     """
     Check values have the same tzinfo attribute.
     Doesn't check values are datetime-like types.
@@ -537,7 +535,7 @@ cpdef is_datetime_with_singletz_array(ndarray[object] values):
     return True
 
 
-def is_timedelta_array(ndarray values):
+cpdef bint is_timedelta_array(ndarray values):
     cdef Py_ssize_t i, null_count = 0, n = len(values)
     cdef object v
     if n == 0:
@@ -553,7 +551,7 @@ def is_timedelta_array(ndarray values):
     return null_count != n
 
 
-def is_timedelta64_array(ndarray values):
+cpdef bint is_timedelta64_array(ndarray values):
     cdef Py_ssize_t i, null_count = 0, n = len(values)
     cdef object v
     if n == 0:
@@ -569,7 +567,7 @@ def is_timedelta64_array(ndarray values):
     return null_count != n
 
 
-def is_timedelta_or_timedelta64_array(ndarray values):
+cpdef bint is_timedelta_or_timedelta64_array(ndarray values):
     """ infer with timedeltas and/or nat/none """
     cdef Py_ssize_t i, null_count = 0, n = len(values)
     cdef object v
@@ -586,7 +584,7 @@ def is_timedelta_or_timedelta64_array(ndarray values):
     return null_count != n
 
 
-def is_date_array(ndarray[object] values):
+cpdef bint is_date_array(ndarray[object] values):
     cdef Py_ssize_t i, n = len(values)
     if n == 0:
         return False
@@ -596,7 +594,7 @@ def is_date_array(ndarray[object] values):
     return True
 
 
-def is_time_array(ndarray[object] values):
+cpdef bint is_time_array(ndarray[object] values):
     cdef Py_ssize_t i, n = len(values)
     if n == 0:
         return False
@@ -606,7 +604,7 @@ def is_time_array(ndarray[object] values):
     return True
 
 
-def is_period_array(ndarray[object] values):
+cpdef bint is_period_array(ndarray[object] values):
     cdef Py_ssize_t i, null_count = 0, n = len(values)
     cdef object v
     if n == 0: