# Path: sktracker/utils/progress.py
# def print_progress(progress, message=None, out=None):
#     """Display a progress bar filled with a variable value. print_progress
#     also works under IPython notebook.
# 
#     Set `progress` to -1 to remove the progress bar.
# 
#     Parameters
#     ----------
#     progress: int
#         Variable value use to fill the progress bar. Should be between 0
#         and 100.
#     out: OutStream
#         Where to stream progress bar. None will redirect output to `sys.stdout`.
# 
#     Returns
#     -------
#     None. Display the progress bar.
# 
#     Examples
#     --------
#     >>> import time
#     >>> from sktracker.utils import print_progress
# 
#     >>> n = 5
#     >>> for i in range(n):
#     >>>     time.sleep(1)
# 
#     >>>     print_progress((i + 1) * 100 / n)
#     100% [=================================================>]
#     >>> print_progress(-1)
# 
#     """
# 
#     if out is None:
#         out = sys.stdout
# 
#     # If process is finished
#     if progress == -1:
#         out.write("\r" + " " * 80 + "\r\r")
#         out.flush()
#         return
# 
#     # Size of the progress bar
#     size = 50
# 
#     # Compute current progress
#     progress_bar = (progress) * size / 100
# 
#     # Build progress bar
#     bar = "["
#     for i in range(int(progress_bar - 1)):
#         bar += "="
#     bar += ">"
#     for i in range(int(size - progress_bar)):
#         bar += " "
#     bar += "]"
# 
#     if message:
#         bar = " ".join([bar, message])
# 
#     # Write progress bar
#     bar_str = "\r%d%% " % (progress) + bar
#     out.write(bar_str)
#     out.flush()


import os
import logging
import subprocess
import multiprocessing
import itertools
import numpy as np
import pandas as pd
            import signal
    from subprocess import DEVNULL  # py3k
from scipy.optimize import leastsq
from skimage import feature
from ..utils import print_progress

# -*- coding: utf-8 -*-


from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
from __future__ import print_function



try:
except ImportError:
    DEVNULL = open(os.devnull, 'wb')




log = logging.getLogger(__name__)

__all__ = []

DEFAULT_PARAMETERS = {'w_s': 0.7,
                      'peak_radius': 0.2,
                      'threshold': 27.,
                      'max_peaks': 1e4
                      }


def peak_detector(data_iterator,

# Path: sktracker/utils/progress.py
# def print_progress(progress, message=None, out=None):
#     """Display a progress bar filled with a variable value. print_progress
#     also works under IPython notebook.
# 
#     Set `progress` to -1 to remove the progress bar.
# 
#     Parameters
#     ----------
#     progress: int
#         Variable value use to fill the progress bar. Should be between 0
#         and 100.
#     out: OutStream
#         Where to stream progress bar. None will redirect output to `sys.stdout`.
# 
#     Returns
#     -------
#     None. Display the progress bar.
# 
#     Examples
#     --------
#     >>> import time
#     >>> from sktracker.utils import print_progress
# 
#     >>> n = 5
#     >>> for i in range(n):
#     >>>     time.sleep(1)
# 
#     >>>     print_progress((i + 1) * 100 / n)
#     100% [=================================================>]
#     >>> print_progress(-1)
# 
#     """
# 
#     if out is None:
#         out = sys.stdout
# 
#     # If process is finished
#     if progress == -1:
#         out.write("\r" + " " * 80 + "\r\r")
#         out.flush()
#         return
# 
#     # Size of the progress bar
#     size = 50
# 
#     # Compute current progress
#     progress_bar = (progress) * size / 100
# 
#     # Build progress bar
#     bar = "["
#     for i in range(int(progress_bar - 1)):
#         bar += "="
#     bar += ">"
#     for i in range(int(size - progress_bar)):
#         bar += " "
#     bar += "]"
# 
#     if message:
#         bar = " ".join([bar, message])
# 
#     # Write progress bar
#     bar_str = "\r%d%% " % (progress) + bar
#     out.write(bar_str)
#     out.flush()


# Path: sktracker/detection/peak_detector.py
import os
import logging
import subprocess
import multiprocessing
import itertools
import numpy as np
import pandas as pd
            import signal
    from subprocess import DEVNULL  # py3k
from scipy.optimize import leastsq
from skimage import feature
from ..utils import print_progress


# -*- coding: utf-8 -*-


from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
from __future__ import print_function



try:
except ImportError:
    DEVNULL = open(os.devnull, 'wb')




log = logging.getLogger(__name__)

__all__ = []

DEFAULT_PARAMETERS = {'w_s': 0.7,
                      'peak_radius': 0.2,
                      'threshold': 27.,
                      'max_peaks': 1e4
                      }


def peak_detector(data_iterator,

                  metadata,