improved unicode handling.
background message is now stoppable. background message not “jumping” (multiplying) anymore.
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parent
40c2a5dd6d
commit
38c536b6b7
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@ -5,14 +5,21 @@ import sys,time,random,threading,os,subprocess,shlex
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import numpy as np
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import numpy as np
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from optparse import Option
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from optparse import Option
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# -----------------------------
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def srepr(arg,
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glue = '\n'):
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# -----------------------------
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if (not hasattr(arg, "strip") and
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hasattr(arg, "__getitem__") or
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hasattr(arg, "__iter__")):
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return glue.join(srepr(x) for x in arg)
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return arg if isinstance(arg,basestring) else repr(arg)
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# -----------------------------
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# -----------------------------
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def croak(what,
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def croak(what,
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newline = True):
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newline = True):
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# -----------------------------
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# -----------------------------
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sys.stderr.write(('\n'.join(map(str,what)) if not hasattr(what, "strip")
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sys.stderr.write(srepr(what,glue = '\n') + ('\n' if newline else ''))
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and hasattr(what, "__getitem__")
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or hasattr(what, "__iter__") else str(what))
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+('\n' if newline else ''))
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sys.stderr.flush()
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sys.stderr.flush()
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# -----------------------------
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# -----------------------------
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@ -23,7 +30,7 @@ def report(who,what):
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# -----------------------------
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# -----------------------------
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def emph(what):
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def emph(what):
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# -----------------------------
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# -----------------------------
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return '\033[1m'+str(what)+'\033[0m'
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return '\033[1m'+srepr(what)+'\033[0m'
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# -----------------------------
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# -----------------------------
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# Matlab like trigonometric functions that take and return angles in degrees.
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# Matlab like trigonometric functions that take and return angles in degrees.
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@ -67,29 +74,29 @@ class extendableOption(Option):
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else:
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else:
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Option.take_action(self, action, dest, opt, value, values, parser)
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Option.take_action(self, action, dest, opt, value, values, parser)
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# -----------------------------
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# -----------------------------
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class backgroundMessage(threading.Thread):
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class backgroundMessage(threading.Thread):
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# -----------------------------
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# -----------------------------
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choices = {'bounce':['_','o','O','°','¯','¯','°','O','o',],
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choices = {'bounce': ['_','o','O','°','¯','¯','°','O','o',],
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'circle': [u'\u25f4',u'\u25f5',u'\u25f6',u'\u25f7'],
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'circle': [u'\u25f4',u'\u25f5',u'\u25f6',u'\u25f7'],
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'hexagon': [u'\u2b22',u'\u2b23'],
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'hexagon': [u'\u2b22',u'\u2b23'],
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'pentagon': [u'\u2b20',u'\u2b54'],
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'square': [u'\u2596',u'\u2598',u'\u259d',u'\u2597'],
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'square': [u'\u2596',u'\u2598',u'\u259d',u'\u2597'],
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'triangle': [u'\u140a',u'\u140a',u'\u1403',u'\u1405',u'\u1405',u'\u1403'],
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'triangle': [u'\u140a',u'\u140a',u'\u1403',u'\u1405',u'\u1405',u'\u1403'],
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'amoeba': [u'\u2596',u'\u258f',u'\u2598',u'\u2594',u'\u259d',u'\u2595',u'\u2597',u'\u2582'],
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'amoeba': [u'\u2596',u'\u258f',u'\u2598',u'\u2594',u'\u259d',u'\u2595',u'\u2597',u'\u2582'],
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'beat': [u'\u2581',u'\u2582',u'\u2583',u'\u2584',u'\u2585',u'\u2586',u'\u2587',u'\u2588',u'\u2587',u'\u2586',u'\u2585',u'\u2584',u'\u2583',u'\u2582',],
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'beat': [u'\u2581',u'\u2582',u'\u2583',u'\u2585',u'\u2586',u'\u2587',u'\u2587',u'\u2586',u'\u2585',u'\u2583',u'\u2582',],
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'prison': [u'\u168b',u'\u168c',u'\u168d',u'\u168f',u'\u168e',u'\u168d',u'\u168c',u'\u168b',],
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'prison': [u'\u168b',u'\u168c',u'\u168d',u'\u168f',u'\u168e',u'\u168d',u'\u168c',u'\u168b',],
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'breath': [u'\u1690',u'\u1691',u'\u1692',u'\u1693',u'\u1694',u'\u1693',u'\u1692',u'\u1691',u'\u1690'],
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'breath': [u'\u1690',u'\u1691',u'\u1692',u'\u1693',u'\u1694',u'\u1693',u'\u1692',u'\u1691',u'\u1690',],
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'pulse': ['·','•',u'\u25cf',u'\u25cf','•',],
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'pulse': [u'·',u'•',u'\u25cf',u'\u25cf',u'•',],
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'ant': [u'\u2801',u'\u2802',u'\u2810',u'\u2820',u'\u2804',u'\u2840',u'\u2880',u'\u2820',u'\u2804',u'\u2802',u'\u2810',u'\u2808'],
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'ant': [u'\u2801',u'\u2802',u'\u2810',u'\u2820',u'\u2804',u'\u2840',u'\u2880',u'\u2820',u'\u2804',u'\u2802',u'\u2810',u'\u2808'],
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'classic':['-', '\\', '|', '/',],
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'juggle': [u'\ua708',u'\ua709',u'\ua70a',u'\ua70b',u'\ua70c',u'\ua711',u'\ua710',u'\ua70f',u'\ua70d',],
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'classic': ['-', '\\', '|', '/',],
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}
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}
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def __init__(self,
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def __init__(self,
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symbol = None,
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symbol = None,
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wait = 0.1):
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wait = 0.1):
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threading.Thread.__init__(self)
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super(backgroundMessage, self).__init__()
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self._stop = threading.Event()
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self.message = ''
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self.message = ''
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self.new_message = ''
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self.new_message = ''
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self.counter = 0
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self.counter = 0
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@ -101,9 +108,17 @@ class backgroundMessage(threading.Thread):
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length = len(self.symbols[self.counter] + self.gap + self.message)
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length = len(self.symbols[self.counter] + self.gap + self.message)
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sys.stderr.write(chr(8)*length + ' '*length + chr(8)*length)
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sys.stderr.write(chr(8)*length + ' '*length + chr(8)*length)
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sys.stderr.write('')
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sys.stderr.write('')
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sys.stderr.flush()
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def stop(self):
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self._stop.set()
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def stopped(self):
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return self._stop.is_set()
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def run(self):
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def run(self):
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while not threading.enumerate()[0]._Thread__stopped:
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# while not threading.enumerate()[0]._Thread__stopped:
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while not self.stopped():
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time.sleep(self.waittime)
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time.sleep(self.waittime)
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self.update_message()
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self.update_message()
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self.__quit__()
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self.__quit__()
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@ -114,14 +129,18 @@ class backgroundMessage(threading.Thread):
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def print_message(self):
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def print_message(self):
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length = len(self.symbols[self.counter] + self.gap + self.message)
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length = len(self.symbols[self.counter] + self.gap + self.message)
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sys.stderr.write(chr(8)*length + ' '*length + chr(8)*length) # delete former message
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sys.stderr.write(chr(8)*length + ' '*length + chr(8)*length + \
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sys.stderr.write(self.symbols[self.counter] + self.gap + self.new_message) # print new message
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self.symbols[self.counter] + self.gap + self.new_message) # delete former and print new message
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sys.stderr.flush()
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self.message = self.new_message
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self.message = self.new_message
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def update_message(self):
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def update_message(self):
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self.counter = (self.counter + 1)%len(self.symbols)
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self.counter = (self.counter + 1)%len(self.symbols)
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self.print_message()
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self.print_message()
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def animation(self,which = None):
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return ''.join(self.choices[which]) if which in self.choices else ''
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'''
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'''
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Non-linear least square fitting (Levenberg-Marquardt method) with
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Non-linear least square fitting (Levenberg-Marquardt method) with
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the bounded parameters.
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the bounded parameters.
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