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CLN: remove build warnings in join_asof indexers #15188

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Merged
merged 1 commit into from
Jan 22, 2017
Merged

CLN: remove build warnings in join_asof indexers #15188

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6 changes: 3 additions & 3 deletions pandas/src/algos_common_helper.pxi.in
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Original file line number Diff line number Diff line change
Expand Up @@ -374,22 +374,22 @@ def is_monotonic_{{name}}(ndarray[{{c_type}}] arr, bint timelike):
n = len(arr)

if n == 1:
if arr[0] != arr[0] or (timelike and arr[0] == iNaT):
if arr[0] != arr[0] or (timelike and <int64_t>arr[0] == iNaT):
# single value is NaN
return False, False, True
else:
return True, True, True
elif n < 2:
return True, True, True

if timelike and arr[0] == iNaT:
if timelike and <int64_t>arr[0] == iNaT:
return False, False, True

{{nogil_str}}
{{tab}}prev = arr[0]
{{tab}}for i in range(1, n):
{{tab}} cur = arr[i]
{{tab}} if timelike and cur == iNaT:
{{tab}} if timelike and <int64_t>cur == iNaT:
{{tab}} is_monotonic_inc = 0
{{tab}} is_monotonic_dec = 0
{{tab}} break
Expand Down
4 changes: 2 additions & 2 deletions pandas/src/algos_groupby_helper.pxi.in
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Original file line number Diff line number Diff line change
Expand Up @@ -580,7 +580,7 @@ def group_cummin_{{name}}(ndarray[{{dest_type2}}, ndim=2] out,
"""
cdef:
Py_ssize_t i, j, N, K, size
{{dest_type2}} val, min_val
{{dest_type2}} val, min_val = 0
int64_t lab

N, K = (<object> values).shape
Expand Down Expand Up @@ -615,7 +615,7 @@ def group_cummax_{{name}}(ndarray[{{dest_type2}}, ndim=2] out,
"""
cdef:
Py_ssize_t i, j, N, K, size
{{dest_type2}} val, max_val
{{dest_type2}} val, max_val = 0
int64_t lab

N, K = (<object> values).shape
Expand Down
17 changes: 8 additions & 9 deletions pandas/src/joins_func_helper.pxi.in
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Expand Up @@ -41,8 +41,8 @@ def asof_join_backward_{{on_dtype}}_by_{{by_dtype}}(
Py_ssize_t left_pos, right_pos, left_size, right_size, found_right_pos
ndarray[int64_t] left_indexer, right_indexer
bint has_tolerance = 0
{{on_dtype}} tolerance_
{{on_dtype}} diff
{{on_dtype}} tolerance_ = 0
{{on_dtype}} diff = 0
{{table_type}} hash_table
{{by_dtype}} by_value

Expand Down Expand Up @@ -106,8 +106,8 @@ def asof_join_forward_{{on_dtype}}_by_{{by_dtype}}(
Py_ssize_t left_pos, right_pos, left_size, right_size, found_right_pos
ndarray[int64_t] left_indexer, right_indexer
bint has_tolerance = 0
{{on_dtype}} tolerance_
{{on_dtype}} diff
{{on_dtype}} tolerance_ = 0
{{on_dtype}} diff = 0
{{table_type}} hash_table
{{by_dtype}} by_value

Expand Down Expand Up @@ -236,8 +236,8 @@ def asof_join_backward_{{on_dtype}}(
Py_ssize_t left_pos, right_pos, left_size, right_size
ndarray[int64_t] left_indexer, right_indexer
bint has_tolerance = 0
{{on_dtype}} tolerance_
{{on_dtype}} diff
{{on_dtype}} tolerance_ = 0
{{on_dtype}} diff = 0

# if we are using tolerance, set our objects
if tolerance is not None:
Expand Down Expand Up @@ -290,8 +290,8 @@ def asof_join_forward_{{on_dtype}}(
Py_ssize_t left_pos, right_pos, left_size, right_size
ndarray[int64_t] left_indexer, right_indexer
bint has_tolerance = 0
{{on_dtype}} tolerance_
{{on_dtype}} diff
{{on_dtype}} tolerance_ = 0
{{on_dtype}} diff = 0

# if we are using tolerance, set our objects
if tolerance is not None:
Expand Down Expand Up @@ -371,4 +371,3 @@ def asof_join_nearest_{{on_dtype}}(
return left_indexer, right_indexer

{{endfor}}