pikhovkin

# Euclidean distance.
def euc_dist(pt1,pt2):
    return math.sqrt((pt2[0]-pt1[0])*(pt2[0]-pt1[0])+(pt2[1]-pt1[1])*(pt2[1]-pt1[1]))

def _c(ca,i,j,P,Q):
    if ca[i,j] > -1:
        return ca[i,j]
    elif i == 0 and j == 0:
        ca[i,j] = euc_dist(P[0],Q[0])
    elif i > 0 and j == 0:

pikhovkin

_CONTENT_TYPES = { '.png': 'image/png', '.gif': 'image/gif', '.jpg': 'image/jpeg', '.jpeg': 'image/jpeg', '.jpe': 'image/jpeg' }

def _encode_multipart(**kw):
    '''
    Build a multipart/form-data body with generated random boundary.
    '''
    boundary = '----------%s' % hex(int(time.time() * 1000))
    data = []
    for k, v in kw.iteritems():
        data.append('--%s' % boundary)