21 contoh kode Python ditemukan terkait dengan " fill array". Anda dapat memilih yang Anda suka atau memilih yang tidak Anda sukai, dan pergi ke proyek asli atau file sumber dengan mengikuti tautan di atas setiap contoh Show def visitFillArrayData(method, dex, instr_d, type_data, block, instr):
width, arrdata = instr_d[instr.args[1]].fillarrdata
at = type_data.arrs[instr.args[0]]
block.loadAsArray(instr.args[0])
if at is arrays.NULL:
block.u8(ATHROW)
else:
if len(arrdata) == 0:
# fill-array-data throws a NPE if array is null even when
# there is 0 data, so we need to add an instruction that
# throws a NPE in this case
block.u8(ARRAYLENGTH)
block.add(ir.Pop())
else:
st, elet = arrays.eletPair(at)
# check if we need to sign extend
if elet == b'B' or elet == b'Z':
arrdata = [util.signExtend(x, 8) & 0xFFFFFFFF for x in arrdata]
elif elet == b'S':
arrdata = [util.signExtend(x, 16) & 0xFFFFFFFF for x in arrdata]
block.fillarraydata(_arrStoreOps.get(elet, AASTORE), st, arrdata) def fill_array(self, array, field, add=False, maximize=False):
"""
Given a full array (for the while image), fill it with the data on
the edges.
"""
self.fix_shapes()
for i in xrange(self.n_chunks):
for side in ['left', 'right', 'top', 'bottom']:
edge = getattr(self, side).ravel()[i]
if add:
array[edge.slice] += getattr(edge, field)
elif maximize:
array[edge.slice] = np.maximum(array[edge.slice],
getattr(edge, field))
else:
array[edge.slice] = getattr(edge, field)
return array _def visitFillArrayData(method, dex, instr_d, type_data, block, instr):
width, arrdata = instr_d[instr.args[1]].fillarrdata
at = type_data.arrs[instr.args[0]]
block.loadAsArray(instr.args[0])
if at is arrays.NULL:
block.u8(ATHROW)
else:
if len(arrdata) == 0:
# fill-array-data throws a NPE if array is null even when
# there is 0 data, so we need to add an instruction that
# throws a NPE in this case
block.u8(ARRAYLENGTH)
block.add(ir.Pop())
else:
st, elet = arrays.eletPair(at)
# check if we need to sign extend
if elet == b'B':
arrdata = [util.signExtend(x, 8) & 0xFFFFFFFF for x in arrdata]
elif elet == b'S':
arrdata = [util.signExtend(x, 16) & 0xFFFFFFFF for x in arrdata]
block.fillarraydata(_arrStoreOps.get(elet, AASTORE), st, arrdata) def visit_fill_array(self, array, value):
self.write_ind()
array.visit(self)
self.write(' = {', data="ARRAY_FILLED")
data = value.get_data()
tab = []
elem_size = value.element_width
# Set type depending on size of elements
data_types = {1: 'b', 2: 'h', 4: 'i', 8: 'd'}
if elem_size in data_types:
elem_id = data_types[elem_size]
else:
# FIXME for other types we just assume bytes...
logger.warning("Unknown element size {} for array. Assume bytes.".format(elem_size))
elem_id = 'b'
elem_size = 1
for i in range(0, value.size*elem_size, elem_size):
tab.append('%s' % unpack(elem_id, data[i:i+elem_size])[0])
self.write(', '.join(tab), data="COMMA")
self.write('}', data="ARRAY_FILLED_END")
self.end_ins() def visit_fill_array(self, array, value):
self.write_ind()
array.visit(self)
self.write(' = {', data="ARRAY_FILLED")
data = value.get_data()
tab = []
elem_size = value.element_width
if elem_size == 4:
for i in range(0, value.size * 4, 4):
tab.append('%s' % unpack('i', data[i:i + 4])[0])
else: # FIXME: other cases
for i in range(value.size):
tab.append('%s' % unpack('b', data[i])[0])
self.write(', '.join(tab), data="COMMA")
self.write('}', data="ARRAY_FILLED_END")
self.end_ins() _def visitFillArrayData(method, dex, instr_d, type_data, block, instr):
width, arrdata = instr_d[instr.args[1]].fillarrdata
at = type_data.arrs[instr.args[0]]
block.loadAsArray(instr.args[0])
if at is arrays.NULL:
block.u8(ATHROW)
else:
if len(arrdata) == 0:
# fill-array-data throws a NPE if array is null even when
# there is 0 data, so we need to add an instruction that
# throws a NPE in this case
block.u8(ARRAYLENGTH)
block.u8(POP)
else:
st, elet = arrays.eletPair(at)
# check if we need to sign extend
if elet == b'B':
arrdata = [util.signExtend(x, 8) & 0xFFFFFFFF for x in arrdata]
elif elet == b'S':
arrdata = [util.signExtend(x, 16) & 0xFFFFFFFF for x in arrdata]
block.fillarraydata(_arrStoreOps.get(elet, AASTORE), st, arrdata) def fill_array(array, fill, length):
assert length >= array.shape[0], "Cannot fill"
if length == array.shape[0]:
return array
array2 = fill * np.ones((length), dtype=array.dtype)
array2[:array.shape[0]] = array
return array2 _def fill_array(arr, seq):
if arr.ndim == 1:
try:
len_ = len(seq)
except TypeError:
len_ = 0
arr[:len_] = seq
arr[len_:] = 0
else:
for subarr, subseq in izip_longest(arr, seq, fillvalue=()):
fill_array(subarr, subseq) def fill_array(vtk_arr, state, zf):
vtk_arr.SetNumberOfComponents(state['numberOfComponents'])
vtk_arr.SetNumberOfTuples(state['size']//state['numberOfComponents'])
data = zf.read('data/%s' % state['hash'])
dataType = arrayTypesMapping[vtk_arr.GetDataType()]
elementSize = struct.calcsize(dataType)
if vtk_arr.GetDataType() == 12:
# we need to cast the data to Uint64
import numpy as np
data = np.frombuffer(data, dtype=np.uint32).astype(np.uint64).tobytes()
elementSize = 8
vtk_arr.SetVoidArray(data, len(data)//elementSize, 1)
vtk_arr._reference = data _def fill_with_array(self, var, arr):
if isinstance(var.owner, Synapses) and var.name == 'delay':
# Assigning is only allowed if the variable has been declared in the
# Synapse constructor and is therefore scalar
if not var.scalar:
raise NotImplementedError(
'GeNN does not support assigning to the '
'delay variable -- set the delay for all'
'synapses (heterogeneous delays are not '
'supported) as an argument to the '
'Synapses initializer.')
else:
# We store the delay so that we can later access it
self.delays[var.owner.name] = numpy.asarray(arr).item()
elif isinstance(var.owner, NeuronGroup) and var.name == 'lastspike':
# Workaround for versions of Brian 2 <= 2.1.3.1 which initialize
# a NeuronGroup's lastspike variable to -inf, no longer supported
# by the new implementation of the timestep function
if arr == -numpy.inf:
logger.warn('Initializing the lastspike variable with -10000s '
'instead of -inf to copy the behaviour of Brian 2 '
'for versions >= 2.2 -- upgrade Brian 2 to remove '
'this warning',
name_suffix='lastspike_inf', once=True)
arr = numpy.array(-1e4)
super(GeNNDevice, self).fill_with_array(var, arr) _def fill_array(self, array, field, add=False, maximize=False):
"""
Given a full array (for the while image), fill it with the data on
the edges.
"""
self.fix_shapes()
for i in xrange(self.n_chunks):
for side in ['left', 'right', 'top', 'bottom']:
edge = getattr(self, side).ravel()[i]
if add:
array[edge.slice] += getattr(edge, field)
elif maximize:
array[edge.slice] = np.maximum(array[edge.slice],
getattr(edge, field))
else:
array[edge.slice] = getattr(edge, field)
return array _0def fill_array(self, array, field, add=False, maximize=False):
"""
Given a full array (for the while image), fill it with the data on
the edges.
"""
self.fix_shapes()
for i in xrange(self.n_chunks):
for side in ['left', 'right', 'top', 'bottom']:
edge = getattr(self, side).ravel()[i]
if add:
array[edge.slice] += getattr(edge, field)
elif maximize:
array[edge.slice] = np.maximum(array[edge.slice],
getattr(edge, field))
else:
array[edge.slice] = getattr(edge, field)
return array _1def fill_array(self, array, field, add=False, maximize=False):
"""
Given a full array (for the while image), fill it with the data on
the edges.
"""
self.fix_shapes()
for i in xrange(self.n_chunks):
for side in ['left', 'right', 'top', 'bottom']:
edge = getattr(self, side).ravel()[i]
if add:
array[edge.slice] += getattr(edge, field)
elif maximize:
array[edge.slice] = np.maximum(array[edge.slice],
getattr(edge, field))
else:
array[edge.slice] = getattr(edge, field)
return array _2def fill_array(self, array, field, add=False, maximize=False):
"""
Given a full array (for the while image), fill it with the data on
the edges.
"""
self.fix_shapes()
for i in xrange(self.n_chunks):
for side in ['left', 'right', 'top', 'bottom']:
edge = getattr(self, side).ravel()[i]
if add:
array[edge.slice] += getattr(edge, field)
elif maximize:
array[edge.slice] = np.maximum(array[edge.slice],
getattr(edge, field))
else:
array[edge.slice] = getattr(edge, field)
return array _3def fill_array(self, array, field, add=False, maximize=False):
"""
Given a full array (for the while image), fill it with the data on
the edges.
"""
self.fix_shapes()
for i in xrange(self.n_chunks):
for side in ['left', 'right', 'top', 'bottom']:
edge = getattr(self, side).ravel()[i]
if add:
array[edge.slice] += getattr(edge, field)
elif maximize:
array[edge.slice] = np.maximum(array[edge.slice],
getattr(edge, field))
else:
array[edge.slice] = getattr(edge, field)
return array _4def fill_array(self, array, field, add=False, maximize=False):
"""
Given a full array (for the while image), fill it with the data on
the edges.
"""
self.fix_shapes()
for i in xrange(self.n_chunks):
for side in ['left', 'right', 'top', 'bottom']:
edge = getattr(self, side).ravel()[i]
if add:
array[edge.slice] += getattr(edge, field)
elif maximize:
array[edge.slice] = np.maximum(array[edge.slice],
getattr(edge, field))
else:
array[edge.slice] = getattr(edge, field)
return array _5
Bagaimana Anda mengisi array dengan angka di Python?Kita dapat menggunakan Fungsi Numpy fill() digunakan untuk mengisi array dengan nilai tertentu. Fungsi ini mengembalikan array yang diisi dengan nilai 3 menggunakan arr. mengisi() fungsi.
Bagaimana cara mengisi array dengan nilai NumPy?fill() digunakan untuk mengisi array numpy dengan nilai skalar . Jika kita harus menginisialisasi array numpy dengan nilai yang identik maka kita menggunakan numpy. ndarray. mengisi().
Bagaimana Anda menyimpan angka dalam array dengan Python?Kita dapat menambahkan nilai ke array dengan menggunakan fungsi append(), extend() dan insert (i,x) . Fungsi append() digunakan ketika kita perlu menambahkan satu elemen di akhir array. Larik yang dihasilkan adalah larik aktual dengan nilai baru yang ditambahkan di bagian akhir.
Bagaimana Anda mengisi array dengan nilai yang sama?Daftar Penginisialisasi. Untuk menginisialisasi array di C dengan nilai yang sama, cara naifnya adalah menyediakan daftar penginisialisasi . Kami menggunakan ini dengan array kecil. int jumlah[5] = {1, 1, 1, 1, 1}; . |
Isi array dengan angka python
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