def __checktype(typename, a, b):
# Check that the type of the variable is anything
if typename == "a":
return True
# Check that the type of the variable is string
if typename == "s":
return type(a) is str and type(b) is str
# Check that the type of the variable is "n:Numeric" which accepts int or float
if typename == "n":
return (isinstance(a, np.int64) or np.integer(a) or type(a) is int
or type(a) is float or type(a) is np.int64) and (
type(b) is int or type(b) is float or type(b) is np.int64
or np.integer(b) or isinstance(b, np.int64))
# For unknown types
return False
def default(self, obj):
if isinstance(obj, int):
return numpy.integer(obj)
elif isinstance(obj, float):
return numpy.floating(obj)
#elif isinstance(obj, numpy.ndarray):
#return obj.tolist()
else:
return super(MyDecoder, self).default(obj)
np.int8(A()) # E: incompatible type
np.int16(A()) # E: incompatible type
np.int32(A()) # E: incompatible type
np.int64(A()) # E: incompatible type
np.uint8(A()) # E: incompatible type
np.uint16(A()) # E: incompatible type
np.uint32(A()) # E: incompatible type
np.uint64(A()) # E: incompatible type
np.void("test") # E: incompatible type
np.generic(1) # E: Cannot instantiate abstract class
np.number(1) # E: Cannot instantiate abstract class
np.integer(1) # E: Cannot instantiate abstract class
np.inexact(1) # E: Cannot instantiate abstract class
np.character("test") # E: Cannot instantiate abstract class
np.flexible(b"test") # E: Cannot instantiate abstract class
np.float64(value=0.0) # E: Unexpected keyword argument
np.int64(value=0) # E: Unexpected keyword argument
np.uint64(value=0) # E: Unexpected keyword argument
np.complex128(value=0.0j) # E: Unexpected keyword argument
np.str_(value='bob') # E: No overload variant
np.bytes_(value=b'test') # E: No overload variant
np.void(value=b'test') # E: Unexpected keyword argument
np.bool_(value=True) # E: Unexpected keyword argument
np.datetime64(value="2019") # E: No overload variant
np.timedelta64(value=0) # E: Unexpected keyword argument
help=
'The detection level to use to find pulses in sigma(ish) , (default=%default)'
)
#major/minor
# Set default value for any option (both standard and experiment-specific options)
#parser.set_defaults(description='UHF signal generator track',dump_rate=1.0,nd_params='off')
# Parse the command line
opts, args = parser.parse_args()
# Values to be read in from Params
sync_time = opts.sync #Pulse100-16dB-Noise20dB-V.npy.epoch
if os.path.isfile(opts.first_timestamp):
timestamp_value = np.loadtxt(opts.first_timestamp, dtype=np.integer)
else:
timestamp_value = np.integer(
opts.first_timestamp) # Pulse100-16dB-Noise20dB-V.npy.timestamp
ts = 1.0 / 1712e6 # seconds per data point
avg_num = opts.num
window_length = opts.window
chunk_size = opts.chunk_size * 32768
trans = slice(0, chunk_size) # First look plots
plotting = opts.plot
if len(args) == 0:
raise RuntimeError('No file passed to the script')
data = np.load(args[0], mmap_mode='r')
if plotting:
nice_filename = args[0].split('/')[-1] + '_Pulse_report'
pp = PdfPages(nice_filename + '.pdf')
