Second test

[jpivarski]

Given an Awkward Array like

>>> array = ak.Array([[1, 2, 3], [], [4, 5]])

how can I find the sum of each nested list, like

[6, 0, 9]

?

[hep-helper[bot]]

Potentially useful sources

4 October, 2023: GitHub discussion scikit-hep/awkward#2737, Version 1.10.5

Score: 100 out of 100

The conversation provides a specific example of using ak.sum with the axis=1 argument to find the sum of each nested list in an Awkward Array. You can refer to the code snippet in the conversation where ak.sum is applied to an array ak.Array([[1.1, 2.2, 3.3], [], [4.4, 5.5]]) to get the desired output. This example directly addresses your question and demonstrates how to achieve the desired result using Awkward Array functions.

13 July, 2021: GitHub issue scikit-hep/awkward#992, Review ak.ptp implementation

Score: 90 out of 100

The conversation provides examples of using ak.sum with different axis values to find the sum of nested lists in an Awkward Array. You can use the examples and explanations provided in the conversation to apply ak.sum to your specific array. Look for the examples where ak.sum is used with axis=-1 to sum the elements of each nested list individually.

17 December, 2020: GitHub issue scikit-hep/awkward#567, Memory leak in ArrayBuilder/GrowableBuffer

Score: 90 out of 100

The conversation provides insights into working with nested structures and lists efficiently. It suggests using Numba for speed and avoiding Awkward Arrays in for loop-style code. To find the sum of each nested list in an Awkward Array, you can consider transforming the array into nested lists and then calculating the sum for each list. Look for examples of iterating through nested structures and using Numba for performance improvements in the conversation.

18 December, 2021: GitHub discussion scikit-hep/awkward#1190, Calculating min distance between two jagged arrays having different jagged structures

Score: 90 out of 100

The conversation provides a detailed explanation of how to approach a similar problem using array-oriented operations in Awkward Array. Look for the example of using ak.unzip to separate the nested lists, performing element-wise operations, and using ak.sum to find the sum of each nested list. The conversation also discusses the use of Numba for imperative calculations if needed. This information can guide you in finding the sum of each nested list in your Awkward Array.

10 March, 2022: GitHub issue scikit-hep/awkward#1266, ak.sum produces incorrect structure for outer dimension

Score: 80 out of 100

The conversation discusses how jagged reduction works in Awkward Arrays, which involves reordering the elements to ensure adjacent values are reduced together. By understanding the process of reordering parents and carry arrays, you can apply a similar approach to finding the sum of each nested list in your array. Look for examples of nextcarry and nextparents arrays, as well as the concept of grouping elements for reduction. This information can guide you in implementing a solution to find the sum of nested lists in your array.

20 April, 2023: GitHub issue scikit-hep/awkward#2414, ufuncs on UnionArray[RecordArray1, RecordArray2] hit an assertion against unknown_lengths

Score: 80 out of 100

The conversation provides an example of working with Awkward Arrays and custom behaviors, which can be useful for your question. Look for the example code that shows how to define custom behaviors for Awkward Arrays, as this can be adapted to perform operations like finding the sum of each nested list in your array. The custom behavior approach demonstrated in the conversation can guide you on how to implement a solution for your specific task.

25 January, 2023: GitHub discussion scikit-hep/awkward#2157, Reduce initial costs

Score: 80 out of 100

The conversation discusses using Awkward Arrays and Numba for performance optimization. While it doesn't directly address finding the sum of nested lists, it provides insights into handling large datasets efficiently. Look for examples of using Awkward Arrays to represent nested lists and how Numba can be integrated for performance improvements. By understanding these concepts, you can potentially optimize the process of finding the sum of each nested list in your Awkward Array.

25 August, 2022: GitHub issue scikit-hep/awkward#1375, Prevent reducers like ak.sum on records (v1 and v2)

Score: 80 out of 100

The conversation discusses the issue of summing records in nested lists and provides a workaround using Numba. While the conversation doesn't directly address summing integers in nested lists, it does provide a relevant example of summing vectors in nested lists and discusses the need for custom behaviors in Awkward Array. You can adapt the Numba solution to sum integers in nested lists by modifying the add_lists_of_vectors function to sum integers instead of vectors.

10 November, 2023: GitHub discussion scikit-hep/awkward#2814, Awkward Array for ML on graphs?

Score: 75 out of 100

The conversation discusses how to perform calculations on nested lists, similar to finding the sum of each nested list in an Awkward Array. Look for examples where the ak.sum function is used with the axis=1 argument to sum each nested list. The conversation also provides insights into using different tensor libraries as backends, which could be helpful for understanding the flexibility of Awkward Array operations.

13 April, 2021: GitHub issue scikit-hep/awkward#778, Apparent memory corruption for ak::Content::classname()

Score: 60 out of 100

The conversation provides information on how to work with nested lists in Awkward Arrays, which can be helpful for finding the sum of each nested list. Look for examples of using ak.flatten to flatten the nested lists before performing operations like summing the elements. Additionally, the mention of constructing ListOffsetArray or using ak.unflatten can be useful for restructuring the results. While the conversation doesn't directly address your question, it provides relevant information that can guide you in solving it.

20 April, 2023: GitHub issue scikit-hep/awkward#2416, ak.singletons fails on certain typetracers

Score: 50 out of 100

The conversation does not directly address your question, but it provides an example of working with nested lists in Awkward Array. You can look for the usage of ak.Array with nested lists and how operations are performed on those nested lists. To find the sum of each nested list in your case, you can explore functions like ak.num and ak.sum in Awkward Array documentation.

26 May, 2023: GitHub discussion scikit-hep/awkward#2480, Memory requirement of ak.sum vs np.sum

Score: 50 out of 100

The conversation provides insight into how Awkward Arrays work and how they handle operations like summing nested lists. While it doesn't directly address your question, it gives you an idea of how Awkward Arrays operate internally. To find the sum of each nested list in your Awkward Array, you can explore the methods and functions discussed in the conversation, such as ak.sum, to see if they can be adapted to suit your specific needs.

25 April, 2023: GitHub issue scikit-hep/awkward#2428, Assigning single numbers to typetracers fails

Score: 40 out of 100

The conversation provides an example of working with Awkward Arrays and showcases how to manipulate the data structure. While it doesn't directly address your question, you can look for examples of array manipulation and accessing nested lists in the conversation to help you understand how to approach finding the sum of each nested list in your specific case.

6 June, 2023: GitHub issue scikit-hep/awkward#1250, Use improved summation routine in sum kernels

Score: 40 out of 100

The conversation discusses the accuracy of summing operations and mentions that in a jagged reduction, only addends in the same list get added together. This information can be useful in understanding how to find the sum of each nested list in an Awkward Array. Look for examples that explain how the elements within each nested list are handled separately during summation. This can guide you in implementing a custom solution to find the sum of each nested list in the array.