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def integrate(t1, t2, t, y):
    """Integral (area under the curve) of a piecewise constant function.

    Parameters
    ----------
    t1 : int or float
        beginning of the interval
    t2 : int or float
        end of the interval. Greater than or equal to t1.
    t : array-like

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def merge_intervals(intervals):
    # Input parameter intervals should be a list of tuples of (start, end) times

    # Step 1: Sort the intervals by their starting times
    intervals.sort(key=lambda x: x[0])

    # Step 2: Initialize an empty list for merged intervals
    merged = []

    # Step 3: Loop through each interval in the sorted list

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# Statistical estimation based on resampling
# TO DO: Detailed docstrings
# TO DO: Make a repo with detailed usage examples.

import numpy as np

# Estimate the confidence interval for a statistic on a given data.
def ci_est(data, statistic="mean", nsamples=100, samplesize=None,
              confidencelevel=0.95, method="bootstrap"):
    data = np.array(data)  # 1d array

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Apr 27 22:23:16 2019

@author: kaan
"""
import numpy as np
class Bootstrap:
    def __init__(self):

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