Skip to content

Remove unused imports #17745

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Oct 3, 2017
Merged

Remove unused imports #17745

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 0 additions & 6 deletions pandas/_libs/hashtable.pyx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -50,12 +50,6 @@ cnp.import_ufunc()
cdef int64_t iNaT = util.get_nat()
_SIZE_HINT_LIMIT = (1 << 20) + 7

cdef extern from "datetime.h":
bint PyDateTime_Check(object o)
void PyDateTime_IMPORT()

PyDateTime_IMPORT


cdef size_t _INIT_VEC_CAP = 128

Expand Down
6 changes: 1 addition & 5 deletions pandas/_libs/lib.pyx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -48,7 +48,6 @@ cdef double NAN = nan
# this is our tseries.pxd
from datetime cimport (
get_timedelta64_value, get_datetime64_value,
npy_timedelta, npy_datetime,
PyDateTime_Check, PyDate_Check, PyTime_Check, PyDelta_Check,
PyDateTime_IMPORT)

Expand All @@ -62,11 +61,8 @@ from interval import Interval

cdef int64_t NPY_NAT = util.get_nat()

ctypedef unsigned char UChar

cimport util
from util cimport (is_array, _checknull, _checknan, INT64_MAX,
INT64_MIN, UINT8_MAX)
from util cimport is_array, _checknull, _checknan

cdef extern from "math.h":
double sqrt(double x)
Expand Down
12 changes: 3 additions & 9 deletions pandas/_libs/period.pyx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,8 +7,7 @@ from cpython cimport (
PyObject_RichCompareBool,
Py_EQ, Py_NE)

from numpy cimport (int8_t, int32_t, int64_t, import_array, ndarray,
NPY_INT64, NPY_DATETIME, NPY_TIMEDELTA)
from numpy cimport int64_t, import_array, ndarray
import numpy as np
import_array()

Expand All @@ -23,12 +22,11 @@ from datetime cimport (
pandas_datetimestruct,
pandas_datetimestruct_to_datetime,
pandas_datetime_to_datetimestruct,
PANDAS_FR_ns,
INT32_MIN)
PANDAS_FR_ns)


cimport util
from util cimport is_period_object, is_string_object
from util cimport is_period_object, is_string_object, INT32_MIN

from lib cimport is_null_datetimelike
from pandas._libs import tslib
Expand Down Expand Up @@ -90,12 +88,8 @@ cdef extern from "period_helper.h":
int microseconds, int picoseconds,
int freq) nogil except INT32_MIN

int64_t get_python_ordinal(int64_t period_ordinal,
int freq) except INT32_MIN

int get_date_info(int64_t ordinal, int freq,
date_info *dinfo) nogil except INT32_MIN
double getAbsTime(int, int64_t, int64_t)

int pyear(int64_t ordinal, int freq) except INT32_MIN
int pqyear(int64_t ordinal, int freq) except INT32_MIN
Expand Down
8 changes: 0 additions & 8 deletions pandas/_libs/tslib.pyx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,6 @@ from cpython cimport (
cdef extern from "Python.h":
cdef PyTypeObject *Py_TYPE(object)

# this is our datetime.pxd
from libc.stdlib cimport free

from util cimport (is_integer_object, is_float_object, is_datetime64_object,
Expand Down Expand Up @@ -65,11 +64,8 @@ from .tslibs.parsing import parse_datetime_string

cimport cython

import time

from pandas.compat import iteritems, callable

import operator
import collections
import warnings

Expand Down Expand Up @@ -933,10 +929,6 @@ cdef int64_t _NS_UPPER_BOUND = INT64_MAX
# use the smallest value with a 0 nanosecond unit (0s in last 3 digits)
cdef int64_t _NS_LOWER_BOUND = -9223372036854775000

cdef pandas_datetimestruct _NS_MIN_DTS, _NS_MAX_DTS
pandas_datetime_to_datetimestruct(_NS_LOWER_BOUND, PANDAS_FR_ns, &_NS_MIN_DTS)
pandas_datetime_to_datetimestruct(_NS_UPPER_BOUND, PANDAS_FR_ns, &_NS_MAX_DTS)

# Resolution is in nanoseconds
Timestamp.min = Timestamp(_NS_LOWER_BOUND)
Timestamp.max = Timestamp(_NS_UPPER_BOUND)
Expand Down