norm implementation

[mtar]

Description

Rewrite of norm to support more types of norms.

Issue/s resolved: #836 #845 #847

Changes proposed:

• add norm, vector_norm, matrix_norm
• fix bug reduce_op with axis and keepdim
• dot returns a 0-dim array instead of builtin float
• fix bug in max/min (_reduce_op) on distributed arrays.

Type of change

• New feature
• Bug fix

Due Diligence

• All split configurations tested
• Multiple dtypes tested in relevant functions
• Documentation updated (if needed)
• Updated changelog.md under the title "Pending Additions"

Does this change modify the behaviour of other functions? If so, which?

no

[codecov]

Codecov Report

Merging #846 (26a9eef) into master (634a2bd) will increase coverage by 0.03%.
The diff coverage is 98.96%.

@@            Coverage Diff             @@
##           master     #846      +/-   ##
==========================================
+ Coverage   95.37%   95.40%   +0.03%     
==========================================
  Files          64       64              
  Lines        9162     9246      +84     
==========================================
+ Hits         8738     8821      +83     
- Misses        424      425       +1     

Flag	Coverage Δ
gpu	94.55% <98.96%> (+0.03%)	⬆️
unit	91.10% <98.96%> (+0.07%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
heat/core/linalg/basics.py	94.86% <98.92%> (+0.46%)	⬆️
heat/core/_operations.py	95.76% <100.00%> (+0.02%)	⬆️
heat/core/linalg/solver.py	69.00% <100.00%> (ø)

---

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 634a2bd...26a9eef. Read the comment docs.