本文整理汇总了Python中metars.workers.decoders.default.MetarDecoderDefault.decode_wx_phenomena方法的典型用法代码示例。如果您正苦于以下问题:Python MetarDecoderDefault.decode_wx_phenomena方法的具体用法?Python MetarDecoderDefault.decode_wx_phenomena怎么用?Python MetarDecoderDefault.decode_wx_phenomena使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类metars.workers.decoders.default.MetarDecoderDefault
的用法示例。
在下文中一共展示了MetarDecoderDefault.decode_wx_phenomena方法的5个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_decode_wx_phenomena_tornado_waterspout_special_case
# 需要导入模块: from metars.workers.decoders.default import MetarDecoderDefault [as 别名]
# 或者: from metars.workers.decoders.default.MetarDecoderDefault import decode_wx_phenomena [as 别名]
def test_decode_wx_phenomena_tornado_waterspout_special_case(self):
# +FC is a special case for tornadoes and waterspouts - the
# modifier '+' should be ignored.
val = ["+FC"]
decoder = MetarDecoderDefault()
decoder.decode_wx_phenomena(val)
res = decoder.decoded_metar["wx_phenomena"][self.DECODED_KEY]
assert_equals(res, ["funnel cloud (tornado or waterspout)"])
示例2: test_decode_wx_phenomena_modifiers
# 需要导入模块: from metars.workers.decoders.default import MetarDecoderDefault [as 别名]
# 或者: from metars.workers.decoders.default.MetarDecoderDefault import decode_wx_phenomena [as 别名]
def test_decode_wx_phenomena_modifiers(self):
decoder = MetarDecoderDefault()
# Light
val = ["-PY"]
decoder.decode_wx_phenomena(val)
res = decoder.decoded_metar["wx_phenomena"][self.DECODED_KEY]
assert_equals(res, ["light spray"])
# Moderate
val = ["PY"]
decoder.decode_wx_phenomena(val)
res = decoder.decoded_metar["wx_phenomena"][self.DECODED_KEY]
assert_equals(res, ["moderate spray"])
# Heavy
val = ["+PY"]
decoder.decode_wx_phenomena(val)
res = decoder.decoded_metar["wx_phenomena"][self.DECODED_KEY]
assert_equals(res, ["heavy spray"])
示例3: test_decode_wx_phenomena_multiple_values
# 需要导入模块: from metars.workers.decoders.default import MetarDecoderDefault [as 别名]
# 或者: from metars.workers.decoders.default.MetarDecoderDefault import decode_wx_phenomena [as 别名]
def test_decode_wx_phenomena_multiple_values(self):
val = ["-SHRA", "+BR"]
decoder = MetarDecoderDefault()
decoder.decode_wx_phenomena(val)
res = decoder.decoded_metar["wx_phenomena"][self.DECODED_KEY]
assert_equals(res, ["light showers of rain", "heavy mist"])
示例4: test_decode_wx_phenomena_in_the_vicinity
# 需要导入模块: from metars.workers.decoders.default import MetarDecoderDefault [as 别名]
# 或者: from metars.workers.decoders.default.MetarDecoderDefault import decode_wx_phenomena [as 别名]
def test_decode_wx_phenomena_in_the_vicinity(self):
val = ["VCFG"]
decoder = MetarDecoderDefault()
decoder.decode_wx_phenomena(val)
res = decoder.decoded_metar["wx_phenomena"][self.DECODED_KEY]
assert_equals(res, ["fog in the vicinity"])
示例5: test_decode_wx_phenomena_basic
# 需要导入模块: from metars.workers.decoders.default import MetarDecoderDefault [as 别名]
# 或者: from metars.workers.decoders.default.MetarDecoderDefault import decode_wx_phenomena [as 别名]
def test_decode_wx_phenomena_basic(self):
val = ["SHRA"]
decoder = MetarDecoderDefault()
decoder.decode_wx_phenomena(val)
res = decoder.decoded_metar["wx_phenomena"][self.DECODED_KEY]
assert_equals(res, ["moderate showers of rain"])