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cyth_scripts.pyx
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import numpy as np
cimport numpy as np
cimport cython
from cython.parallel cimport prange
from cython import boundscheck, wraparound
cimport numpy as np
cimport cython
DTYPE_INT = np.int
ctypedef np.int_t DTYPE_INT_t
DTYPE_FLOAT = np.double
ctypedef np.double_t DTYPE_FLOAT_t
@cython.boundscheck(False)
@cython.wraparound(False)
cpdef _accumulate_bw(DTYPE_INT_t np,
np.ndarray[DTYPE_INT_t, ndim=1] s,
np.ndarray[DTYPE_INT_t, ndim=1] r,
np.ndarray[DTYPE_FLOAT_t, ndim=1] drainage_area,
np.ndarray[DTYPE_FLOAT_t, ndim=1] discharge):
"""
Accumulates drainage area and discharge, permitting transmission losses.
"""
cdef int donor, recvr, i
cdef float accum
# Iterate backward through the list, which means we work from upstream to
# downstream.
for i in range(np-1, -1, -1):
donor = s[i]
recvr = r[donor]
if donor != recvr:
drainage_area[recvr] += drainage_area[donor]
accum = discharge[recvr] + discharge[donor]
if accum < 0.:
accum = 0.
discharge[recvr] = accum
@cython.boundscheck(False)
@cython.wraparound(False)
cpdef _accumulate_flux(DTYPE_INT_t np,
np.ndarray[DTYPE_INT_t, ndim=1] s,
np.ndarray[DTYPE_INT_t, ndim=1] r,
np.ndarray[DTYPE_FLOAT_t, ndim=1] flux):
"""
Accumulates ONLY flux of some tracer in same way as defined above.
"""
cdef int donor, recvr, i
# Iterate backward through the list, which means we work from upstream to
# downstream.
for i in range(np-1, -1, -1):
donor = s[i]
recvr = r[donor]
if donor != recvr:
flux[recvr] += flux[donor]
@cython.boundscheck(False)
@cython.wraparound(False)
cpdef _accumulate_flux_basins(DTYPE_INT_t nb,
DTYPE_INT_t ns,
np.ndarray[DTYPE_INT_t, ndim=1] s,
np.ndarray[DTYPE_INT_t, ndim=1] r,
np.ndarray[DTYPE_INT_t, ndim=1] starts,
np.ndarray[DTYPE_FLOAT_t, ndim=1] flux):
"""
Accumulates flux by accumulating individual basins one after the other explicitly.
"""
cdef int donor, recvr, i, j
for i in range(nb-1):
for j in range(starts[i+1]-1,starts[i]-1,-1):
donor = s[j]
recvr = r[donor]
if donor != recvr:
flux[recvr] += flux[donor]
for j in range(starts[nb-1],ns-1,-1):
donor = s[j]
recvr = r[donor]
if donor != recvr:
flux[recvr] += flux[donor]
@cython.boundscheck(False)
@cython.wraparound(False)
cpdef _accumulate_flux_basins_pll(DTYPE_INT_t nb,
DTYPE_INT_t ns,
np.ndarray[DTYPE_INT_t, ndim=1] s,
np.ndarray[DTYPE_INT_t, ndim=1] r,
np.ndarray[DTYPE_INT_t, ndim=1] starts,
np.ndarray[DTYPE_FLOAT_t, ndim=1] flux):
"""
Accumulates flux by accumulating individual basins explicitly, but in parallel.
"""
cdef int donor, recvr, i, j
with nogil:
for i in prange(nb-1,schedule='static'):
for j in range(starts[i+1]-1,starts[i]-1,-1):
donor = s[j]
recvr = r[donor]
if donor != recvr:
flux[recvr] += flux[donor]
for j in range(starts[nb-1],ns-1,-1):
donor = s[j]
recvr = r[donor]
if donor != recvr:
flux[recvr] += flux[donor]
@cython.boundscheck(False)
@cython.wraparound(False)
cpdef _accumulate_active_flux_basins_pll(DTYPE_INT_t nb,
np.ndarray[DTYPE_INT_t, ndim=1] s,
np.ndarray[DTYPE_INT_t, ndim=1] r,
np.ndarray[DTYPE_INT_t, ndim=1] actv_starts,
np.ndarray[DTYPE_INT_t, ndim=1] actv_ends,
np.ndarray[DTYPE_FLOAT_t, ndim=1] flux):
"""
Accumulates flux by accumulating only active individual basins explicitly in parallel.
"""
cdef int donor, recvr, i, j
with nogil:
for i in prange(nb,schedule='static'):
for j in range(actv_ends[i]-1,actv_starts[i]-1,-1):
donor = s[j]
recvr = r[donor]
if donor != recvr:
flux[recvr] += flux[donor]
@cython.boundscheck(False)
@cython.wraparound(False)
cpdef _accumulate_active_flux_basins(DTYPE_INT_t nb,
np.ndarray[DTYPE_INT_t, ndim=1] s,
np.ndarray[DTYPE_INT_t, ndim=1] r,
np.ndarray[DTYPE_INT_t, ndim=1] actv_starts,
np.ndarray[DTYPE_INT_t, ndim=1] actv_ends,
np.ndarray[DTYPE_FLOAT_t, ndim=1] flux):
"""
Accumulates flux by accumulating only active individual basins explicitly in serial.
"""
cdef int donor, recvr, i, j
for i in range(nb):
for j in range(actv_ends[i]-1,actv_starts[i]-1,-1):
donor = s[j]
recvr = r[donor]
if donor != recvr:
flux[recvr] += flux[donor]