<p>You are given a binary string <code>s</code>.</p>

<p>Return the number of <span data-keyword="substring-nonempty">substrings</span> with <strong>dominant</strong> ones.</p>

<p>A string has <strong>dominant</strong> ones if the number of ones in the string is <strong>greater than or equal to</strong> the <strong>square</strong> of the number of zeros in the string.</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>

<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = &quot;00011&quot;</span></p>

<p><strong>Output:</strong> <span class="example-io">5</span></p>

<p><strong>Explanation:</strong></p>

<p>The substrings with dominant ones are shown in the table below.</p>
</div>

<table>
	<thead>
		<tr>
			<th>i</th>
			<th>j</th>
			<th>s[i..j]</th>
			<th>Number of Zeros</th>
			<th>Number of Ones</th>
		</tr>
	</thead>
	<tbody>
		<tr>
			<td>3</td>
			<td>3</td>
			<td>1</td>
			<td>0</td>
			<td>1</td>
		</tr>
		<tr>
			<td>4</td>
			<td>4</td>
			<td>1</td>
			<td>0</td>
			<td>1</td>
		</tr>
		<tr>
			<td>2</td>
			<td>3</td>
			<td>01</td>
			<td>1</td>
			<td>1</td>
		</tr>
		<tr>
			<td>3</td>
			<td>4</td>
			<td>11</td>
			<td>0</td>
			<td>2</td>
		</tr>
		<tr>
			<td>2</td>
			<td>4</td>
			<td>011</td>
			<td>1</td>
			<td>2</td>
		</tr>
	</tbody>
</table>

<p><strong class="example">Example 2:</strong></p>

<div class="example-block">
<p><strong>Input:</strong> <span class="example-io">s = &quot;101101&quot;</span></p>

<p><strong>Output:</strong> <span class="example-io">16</span></p>

<p><strong>Explanation:</strong></p>

<p>The substrings with <strong>non-dominant</strong> ones are shown in the table below.</p>

<p>Since there are 21 substrings total and 5 of them have non-dominant ones, it follows that there are 16 substrings with dominant ones.</p>
</div>

<table>
	<thead>
		<tr>
			<th>i</th>
			<th>j</th>
			<th>s[i..j]</th>
			<th>Number of Zeros</th>
			<th>Number of Ones</th>
		</tr>
	</thead>
	<tbody>
		<tr>
			<td>1</td>
			<td>1</td>
			<td>0</td>
			<td>1</td>
			<td>0</td>
		</tr>
		<tr>
			<td>4</td>
			<td>4</td>
			<td>0</td>
			<td>1</td>
			<td>0</td>
		</tr>
		<tr>
			<td>1</td>
			<td>4</td>
			<td>0110</td>
			<td>2</td>
			<td>2</td>
		</tr>
		<tr>
			<td>0</td>
			<td>4</td>
			<td>10110</td>
			<td>2</td>
			<td>3</td>
		</tr>
		<tr>
			<td>1</td>
			<td>5</td>
			<td>01101</td>
			<td>2</td>
			<td>3</td>
		</tr>
	</tbody>
</table>

<p>&nbsp;</p>
<p><strong>Constraints:</strong></p>

<ul>
	<li><code>1 &lt;= s.length &lt;= 4 * 10<sup>4</sup></code></li>
	<li><code>s</code> consists only of characters <code>&#39;0&#39;</code> and <code>&#39;1&#39;</code>.</li>
</ul>

class Solution:
    def numberOfSubstrings(self, s: str) -> int:
        def find_nb_valid(arr, n, target):
            if len(arr) == 0:
                return 0
            if n - arr[0] < target:
                return 0
            if n - arr[-1] >= target:
                return len(arr)
            l, r = 0, len(arr) - 1
            while l < r - 1:
                m = (l + r) // 2
                if n - arr[m] >= target:
                    l = m
                else:
                    r = m
            return l + 1

        arr = [[0]]
        n0, n1 = 0, 0
        output = 0
        for c in s:
            if c == '0':
                n0 += 1
            else:
                n1 += 1

            for residual_n0 in range(0, min(n0, floor(sqrt(n1))) + 1):
                if n0 - residual_n0 < len(arr):
                    prev_n0 = n0 - residual_n0
                    prev_n1_arr = arr[prev_n0]
                    target_n1 = residual_n0 ** 2
                    # if n0 == 0 and n1 == 1:
                    #     print(prev_n0, prev_n1_arr, find_nb_valid(prev_n1_arr, n1, target_n1))
                    output += find_nb_valid(prev_n1_arr, n1, target_n1)
            # print(n0, n1, output)

            # update arr
            while len(arr) <= n0:
                arr.append([])
            
            arr[n0].append(n1)

        return output
21000