Given an **integer Q** representing the number of queries and an array where each query has an integer **N**. Our task is to iterate through each query and find the number of paths such that bitwise AND of all nodes on that path is odd.

Binary Tree is constructed with N vertices numbered 1 through N. For each i, from 2 to N, there is an edge between

vertex i and vertex i / 2 (rounded off).

**Examples:**

Input:Q = 2, [5, 2]Output:1 0Explanation:For first query the binary tree will be 1 / \ 2 3 / \ 4 5 The path which satisfies the condition is 1 -> 3. Hence only 1 path. For the second query, the binary tree will be 1 / 2 There no such path that satisfies the condition.Input:Q = 3, [3, 7, 13]Output:1 3 4

**Approach:** The idea is to use Dynamic Programming and **precomputation** of answers for all values from 1 to maximum value of N in the query.

- Firstly, observe that if a bitwise AND of a path is odd then
**none elements of that path can be even**. Hence required path should have odd elements. - We know that for an i
^{th}node (except for node 1) the parent node will be i/2 (rounded off). Maintain a**dp array**for storing the answer for the i^{th}node. Another array will be used to store the number of odd elements from the current node until the parents are odd. - While computing the dp array the first condition is if the i
^{th}node value is even then**dp[i] = dp[i – 1]**because the i^{th}node will not contribute in the answer so dp[i] will be the answer of (i-1)^{th}node. Secondly, if i^{th}node is odd then dp[i] = dp[i-1] + nC2 -(n-1)C2. On simplification**dp[i] = dp[i-1] + (number of odd elements till now) – 1.**

Below is the implementation of the above approach:

## C++

`// C++ implementation to count ` `// paths in Binary Tree ` `// with odd bitwise AND ` ` ` `#include <bits/stdc++.h> ` `using` `namespace` `std; ` ` ` `// Function to count number of paths ` `// in binary tree such that bitwise ` `// AND of all nodes is Odd ` `void` `compute(vector<` `int` `> query) ` `{ ` ` ` `// vector v for storing ` ` ` `// the count of odd numbers ` ` ` ` ` `// vector dp to store the ` ` ` `// count of bitwise odd paths ` ` ` `// till that vertex ` ` ` `vector<` `int` `> v(100001), dp(100001); ` ` ` ` ` `v[1] = 1, v[2] = 0; ` ` ` `dp[1] = 0, dp[2] = 0; ` ` ` ` ` `// Precomputing for each value ` ` ` `for` `(` `int` `i = 3; i < 100001; i++) { ` ` ` `// check for odd value ` ` ` `if` `(i % 2 != 0) { ` ` ` `if` `((i / 2) % 2 == 0) { ` ` ` `v[i] = 1; ` ` ` `dp[i] = dp[i - 1]; ` ` ` `} ` ` ` ` ` `else` `{ ` ` ` `// Number of odd elements will ` ` ` `// be +1 till the parent node ` ` ` `v[i] = v[i / 2] + 1; ` ` ` `dp[i] = dp[i - 1] + v[i] - 1; ` ` ` `} ` ` ` `} ` ` ` ` ` `// For even case ` ` ` `else` `{ ` ` ` `// Since node is even ` ` ` `// Number of odd elements ` ` ` `// will be 0 ` ` ` `v[i] = 0; ` ` ` ` ` `// Even value node will ` ` ` `// not contribute in answer ` ` ` `// hence dp[i] = previous answer ` ` ` `dp[i] = dp[i - 1]; ` ` ` `} ` ` ` `} ` ` ` `// Printing the answer ` ` ` `// for each query ` ` ` `for` `(` `auto` `x : query) ` ` ` `cout << dp[x] << endl; ` `} ` ` ` `// Driver code ` `int` `main() ` `{ ` ` ` `// vector to store queries ` ` ` `vector<` `int` `> query = { 5, 2 }; ` ` ` `compute(query); ` ` ` `return` `0; ` `} ` |

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## Java

`// Java implementation to count ` `// paths in Binary Tree ` `// with odd bitwise AND ` `class` `GFG{ ` ` ` `// Function to count number of paths ` `// in binary tree such that bitwise ` `// AND of all nodes is Odd ` `static` `void` `compute(` `int` `[] query) ` `{ ` ` ` ` ` `// v for storing the count ` ` ` `// of odd numbers ` ` ` ` ` `// dp to store the count of ` ` ` `// bitwise odd paths ` ` ` `// till that vertex ` ` ` `int` `[]v = ` `new` `int` `[` `100001` `]; ` ` ` `int` `[]dp = ` `new` `int` `[` `100001` `]; ` ` ` ` ` `v[` `1` `] = ` `1` `; v[` `2` `] = ` `0` `; ` ` ` `dp[` `1` `] = ` `0` `; dp[` `2` `] = ` `0` `; ` ` ` ` ` `// Precomputing for each value ` ` ` `for` `(` `int` `i = ` `3` `; i < ` `100001` `; i++) ` ` ` `{ ` ` ` ` ` `// Check for odd value ` ` ` `if` `(i % ` `2` `!= ` `0` `) ` ` ` `{ ` ` ` `if` `((i / ` `2` `) % ` `2` `== ` `0` `) ` ` ` `{ ` ` ` `v[i] = ` `1` `; ` ` ` `dp[i] = dp[i - ` `1` `]; ` ` ` `} ` ` ` `else` ` ` `{ ` ` ` ` ` `// Number of odd elements will ` ` ` `// be +1 till the parent node ` ` ` `v[i] = v[i / ` `2` `] + ` `1` `; ` ` ` `dp[i] = dp[i - ` `1` `] + v[i] - ` `1` `; ` ` ` `} ` ` ` `} ` ` ` ` ` `// For even case ` ` ` `else` ` ` `{ ` ` ` ` ` `// Since node is even ` ` ` `// Number of odd elements ` ` ` `// will be 0 ` ` ` `v[i] = ` `0` `; ` ` ` ` ` `// Even value node will ` ` ` `// not contribute in answer ` ` ` `// hence dp[i] = previous answer ` ` ` `dp[i] = dp[i - ` `1` `]; ` ` ` `} ` ` ` `} ` ` ` ` ` `// Printing the answer ` ` ` `// for each query ` ` ` `for` `(` `int` `x : query) ` ` ` `System.out.print(dp[x] + ` `"\n"` `); ` `} ` ` ` `// Driver code ` `public` `static` `void` `main(String[] args) ` `{ ` ` ` ` ` `// To store queries ` ` ` `int` `[]query = { ` `5` `, ` `2` `}; ` ` ` ` ` `compute(query); ` `} ` `} ` ` ` `// This code is contributed by Princi Singh ` |

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## Python3

`# Python3 implementation to count ` `# paths in Binary Tree with odd ` `# bitwise AND ` ` ` `# Function to count number of paths ` `# in binary tree such that bitwise ` `# AND of all nodes is Odd ` `def` `compute(query): ` ` ` ` ` `# vector v for storing ` ` ` `# the count of odd numbers ` ` ` ` ` `# vector dp to store the ` ` ` `# count of bitwise odd paths ` ` ` `# till that vertex ` ` ` `v ` `=` `[` `None` `] ` `*` `100001` ` ` `dp ` `=` `[` `None` `] ` `*` `100001` ` ` ` ` `v[` `1` `] ` `=` `1` ` ` `v[` `2` `] ` `=` `0` ` ` `dp[` `1` `] ` `=` `0` ` ` `dp[` `2` `] ` `=` `0` ` ` ` ` `# Precomputing for each value ` ` ` `for` `i ` `in` `range` `(` `3` `, ` `100001` `): ` ` ` ` ` `# Check for odd value ` ` ` `if` `(i ` `%` `2` `!` `=` `0` `): ` ` ` `if` `((i ` `/` `/` `2` `) ` `%` `2` `=` `=` `0` `): ` ` ` `v[i] ` `=` `1` ` ` `dp[i] ` `=` `dp[i ` `-` `1` `] ` ` ` ` ` `else` `: ` ` ` ` ` `# Number of odd elements will ` ` ` `# be +1 till the parent node ` ` ` `v[i] ` `=` `v[i ` `/` `/` `2` `] ` `+` `1` ` ` `dp[i] ` `=` `dp[i ` `-` `1` `] ` `+` `v[i] ` `-` `1` ` ` ` ` `# For even case ` ` ` `else` `: ` ` ` ` ` `# Since node is even ` ` ` `# Number of odd elements ` ` ` `# will be 0 ` ` ` `v[i] ` `=` `0` ` ` ` ` `# Even value node will ` ` ` `# not contribute in answer ` ` ` `# hence dp[i] = previous answer ` ` ` `dp[i] ` `=` `dp[i ` `-` `1` `] ` ` ` ` ` `# Printing the answer ` ` ` `# for each query ` ` ` `for` `x ` `in` `query: ` ` ` `print` `(dp[x]) ` ` ` `# Driver code ` ` ` `# Vector to store queries ` `query ` `=` `[ ` `5` `, ` `2` `] ` ` ` `compute(query) ` ` ` `# This code is contributed by sanjoy_62 ` |

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## C#

`// C# implementation to count ` `// paths in Binary Tree ` `// with odd bitwise AND ` `using` `System; ` ` ` `class` `GFG{ ` ` ` `// Function to count number of paths ` `// in binary tree such that bitwise ` `// AND of all nodes is Odd ` `static` `void` `compute(` `int` `[] query) ` `{ ` ` ` ` ` `// v for storing the count ` ` ` `// of odd numbers ` ` ` ` ` `// dp to store the count of ` ` ` `// bitwise odd paths ` ` ` `// till that vertex ` ` ` `int` `[]v = ` `new` `int` `[100001]; ` ` ` `int` `[]dp = ` `new` `int` `[100001]; ` ` ` ` ` `v[1] = 1; v[2] = 0; ` ` ` `dp[1] = 0; dp[2] = 0; ` ` ` ` ` `// Precomputing for each value ` ` ` `for` `(` `int` `i = 3; i < 100001; i++) ` ` ` `{ ` ` ` ` ` `// Check for odd value ` ` ` `if` `(i % 2 != 0) ` ` ` `{ ` ` ` `if` `((i / 2) % 2 == 0) ` ` ` `{ ` ` ` `v[i] = 1; ` ` ` `dp[i] = dp[i - 1]; ` ` ` `} ` ` ` `else` ` ` `{ ` ` ` ` ` `// Number of odd elements will ` ` ` `// be +1 till the parent node ` ` ` `v[i] = v[i / 2] + 1; ` ` ` `dp[i] = dp[i - 1] + v[i] - 1; ` ` ` `} ` ` ` `} ` ` ` ` ` `// For even case ` ` ` `else` ` ` `{ ` ` ` ` ` `// Since node is even ` ` ` `// Number of odd elements ` ` ` `// will be 0 ` ` ` `v[i] = 0; ` ` ` ` ` `// Even value node will ` ` ` `// not contribute in answer ` ` ` `// hence dp[i] = previous answer ` ` ` `dp[i] = dp[i - 1]; ` ` ` `} ` ` ` `} ` ` ` ` ` `// Printing the answer ` ` ` `// for each query ` ` ` `foreach` `(` `int` `x ` `in` `query) ` ` ` `Console.Write(dp[x] + ` `"\n"` `); ` `} ` ` ` `// Driver code ` `public` `static` `void` `Main(String[] args) ` `{ ` ` ` ` ` `// To store queries ` ` ` `int` `[]query = { 5, 2 }; ` ` ` ` ` `compute(query); ` `} ` `} ` ` ` `// This code is contributed by Amit Katiyar ` |

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**Output:**

1 0

* Time Complexity: O( Nmax + Q*(1) )*, where Nmax is the maximum value of N. Q*(1) since we are precomputing each queries.