The following are code examples for showing how to use . They are extracted from open source Python projects. You can vote up the examples you like or vote down the exmaples you don’t like. You can also save this page to your account.
Example 1
def __init__(self, hash_name='md5', coerce_mmap=False):
"""
Parameters
----------
hash_name: string
The hash algorithm to be used
coerce_mmap: boolean
Make no difference between np.memmap and np.ndarray
objects.
"""
self.coerce_mmap = coerce_mmap
Hasher.__init__(self, hash_name=hash_name)
# delayed import of numpy, to avoid tight coupling
import numpy as np
self.np = np
if hasattr(np, 'getbuffer'):
self._getbuffer = np.getbuffer
else:
self._getbuffer = memoryview Example 2
def __init__(self, hash_name='md5', coerce_mmap=False):
"""
Parameters
----------
hash_name: string
The hash algorithm to be used
coerce_mmap: boolean
Make no difference between np.memmap and np.ndarray
objects.
"""
self.coerce_mmap = coerce_mmap
Hasher.__init__(self, hash_name=hash_name)
# delayed import of numpy, to avoid tight coupling
import numpy as np
self.np = np
if hasattr(np, 'getbuffer'):
self._getbuffer = np.getbuffer
else:
self._getbuffer = memoryview Example 3
def __init__(self, hash_name='md5', coerce_mmap=False):
"""
Parameters
----------
hash_name: string
The hash algorithm to be used
coerce_mmap: boolean
Make no difference between np.memmap and np.ndarray
objects.
"""
self.coerce_mmap = coerce_mmap
Hasher.__init__(self, hash_name=hash_name)
# delayed import of numpy, to avoid tight coupling
import numpy as np
self.np = np
if hasattr(np, 'getbuffer'):
self._getbuffer = np.getbuffer
else:
self._getbuffer = memoryview Example 4
def togglepattern():
global togsw,o,ovl,gui,alphaValue
# if overlay is inactive, ignore button:
if togsw == 0:
print "Pattern button pressed, but ignored --- Crosshair not visible."
# if overlay is active, drop it, change pattern, then show it again
else:
if guivisible == 0:
# reinitialize array:
ovl = np.zeros((height, width, 3), dtype=np.uint8)
patternswitch(ovl,0)
if o != None:
camera.remove_overlay(o)
o = camera.add_overlay(np.getbuffer(ovl), layer=3, alpha=alphaValue)
else:
# reinitialize array
gui = np.zeros((height, width, 3), dtype=np.uint8)
creategui(gui)
patternswitch(gui,1)
if o != None:
camera.remove_overlay(o)
o = camera.add_overlay(np.getbuffer(gui), layer=3, alpha=alphaValue)
return Example 5
def toggleonoff():
global togsw,o,alphaValue
if togsw == 1:
print "Toggle Crosshair OFF"
if o != None:
camera.remove_overlay(o)
togsw = 0
else:
print "Toggle Crosshair ON"
if guivisible == 0:
o = camera.add_overlay(np.getbuffer(ovl), layer=3, alpha=alphaValue)
else:
o = camera.add_overlay(np.getbuffer(gui), layer=3, alpha=alphaValue)
togsw = 1
return
# function Example 6
def togglepatternZoomOut():
global togsw,o,curpat,col,ovl,gui,alphaValue
# if overlay is inactive, ignore button:
if togsw == 0:
zoom_out()
else:
if guivisible == 0:
zoom_out()
# reinitialize array:
ovl = np.zeros((height, width, 3), dtype=np.uint8)
patternswitcherZoomOut(ovl,0)
o = camera.add_overlay(np.getbuffer(ovl), layer=3, alpha=alphaValue)
else:
zoom_out()
# reinitialize array
gui = np.zeros((height, width, 3), dtype=np.uint8)
creategui(gui)
patternswitcherZoomOut(gui,1)
o = camera.add_overlay(np.getbuffer(gui), layer=3, alpha=alphaValue)
return Example 7
def toggleonoff():
global togsw,o,alphaValue
if togsw == 1:
print "Toggle Crosshair OFF"
if o != None:
camera.remove_overlay(o)
togsw = 0
else:
print "Toggle Crosshair ON"
if guivisible == 0:
o = camera.add_overlay(np.getbuffer(ovl), layer=3, alpha=alphaValue)
else:
o = camera.add_overlay(np.getbuffer(gui), layer=3, alpha=alphaValue)
togsw = 1
return
# function Example 8
def togglepatternZoomOut():
global togsw,o,curpat,col,ovl,gui,alphaValue
# if overlay is inactive, ignore button:
if togsw == 0:
zoom_out()
else:
if guivisible == 0:
zoom_out()
# reinitialize array:
ovl = np.zeros((height, width, 3), dtype=np.uint8)
patternswitcherZoomOut(ovl,0)
o = camera.add_overlay(np.getbuffer(ovl), layer=3, alpha=alphaValue)
else:
zoom_out()
# reinitialize array
gui = np.zeros((height, width, 3), dtype=np.uint8)
creategui(gui)
patternswitcherZoomOut(gui,1)
o = camera.add_overlay(np.getbuffer(gui), layer=3, alpha=alphaValue)
return Example 9
def numpy_buffer(ndarray):
"""Creates a buffer from c_contiguous numpy ndarray."""
# Credits to: https://github.com/joblib/joblib/blob/04b001861e1dd03a857b7b419c336de64e05714c/joblib/hashing.py
if isinstance(ndarray, (pd.Series, pd.DataFrame)):
ndarray = ndarray.values
if ndarray.flags.c_contiguous:
obj_c_contiguous = ndarray
elif ndarray.flags.f_contiguous:
obj_c_contiguous = ndarray.T
else:
obj_c_contiguous = ndarray.flatten()
obj_c_contiguous = obj_c_contiguous.view(np.uint8)
if hasattr(np, 'getbuffer'):
return np.getbuffer(obj_c_contiguous)
else:
return memoryview(obj_c_contiguous) Example 10
def __init__(self, hash_name='md5', coerce_mmap=False):
"""
Parameters
----------
hash_name: string
The hash algorithm to be used
coerce_mmap: boolean
Make no difference between np.memmap and np.ndarray
objects.
"""
self.coerce_mmap = coerce_mmap
Hasher.__init__(self, hash_name=hash_name)
# delayed import of numpy, to avoid tight coupling
import numpy as np
self.np = np
if hasattr(np, 'getbuffer'):
self._getbuffer = np.getbuffer
else:
self._getbuffer = memoryview Example 11
def __call__(self):
plte = self.plte
a = self.idRaster
#a = array('B') #unsigned 1byte int
#a.fromlist(idRaster)
### Why is this here? byteswap has no effect on 'uint8'
#if SYSTEM_BYTEORDER == '\x00': #little
# a.byteswap() #to big (network)
# This is used directly in the final PNG, must be zlib.
cIdRaster = zlib.compress(numpy.getbuffer(a))
size = pack('!I',len(cIdRaster))
crc = pack('!I',crc32('IDAT'+cIdRaster) & 0xFFFFFFFF)
idat = size+'IDAT'+cIdRaster+crc
#b = array(UNSIGNED_ITEM_TYPES[4]) #unsigned 4byte int
#b.fromlist(plte)
#cPLTE = zlib.compress(plte.tostring())
cPLTE = zlib.compress(numpy.getbuffer(plte))
s = SYSTEM_BYTEORDER + pack('!LL',len(idat),len(cPLTE)) # 9bytes <--- ByteOrder(1byte), len of idat(4bytes), len of cPLTE(4bytes)
s = s+idat+cPLTE
return s Example 12
def __init__(self, hash_name='md5', coerce_mmap=False):
"""
Parameters
----------
hash_name: string
The hash algorithm to be used
coerce_mmap: boolean
Make no difference between np.memmap and np.ndarray
objects.
"""
self.coerce_mmap = coerce_mmap
Hasher.__init__(self, hash_name=hash_name)
# delayed import of numpy, to avoid tight coupling
import numpy as np
self.np = np
if hasattr(np, 'getbuffer'):
self._getbuffer = np.getbuffer
else:
self._getbuffer = memoryview Example 13
def patternswitch(target,guitoggle):
global o, alphaValue
toggleonoff()
if guitoggle == 1:
creategui(gui)
o = camera.add_overlay(np.getbuffer(target), layer=3, alpha=alphaValue)
return Example 14
def patternswitch(target,guitoggle):
global o, alphaValue
toggleonoff()
if guitoggle == 1:
creategui(gui)
o = camera.add_overlay(np.getbuffer(target), layer=3, alpha=alphaValue)
return Example 15
def hash_from_code(msg):
try:
return hashlib.md5(msg).hexdigest()
except TypeError:
assert isinstance(msg, numpy.ndarray)
return hashlib.md5(numpy.getbuffer(msg)).hexdigest() Example 16
def __call__(self):
if self.maxID < 2**16:
dtype = 'uint16' #UNSIGNED_ITEM_TYPES[2] #UNSIGNED_2_BYTE_INT
DTYPE = '\x00'
else:
dtype = 'uint32' #UNSIGNED_ITEM_TYPES[4] #UNSIGNED_4_BYTE_INT
DTYPE = '\x01'
a = self.intRaster.astype(dtype)
#return SYSTEM_BYTEORDER+DTYPE+zlib.compress(a.tostring())
return SYSTEM_BYTEORDER+DTYPE+zlib.compress(numpy.getbuffer(a)) 