Kevin Chern

Include chain break points in returned embedding context

1

Example of "chain break points": a chain with +++: no break points. a chain with +--: break point at (0,1) a chain with +-+: break points at (0,1) and (1,2)

`DWaveSampler().sample` can't parse numpy integers for `num_reads`

2

**Description** `DWaveSampler().sample(bqm, num_reads=np.int8(123))` gives an error. Why `np.int8(123)`? Occurs in scenarios such as `np.linspace(2, 6, 10, dtype=np.int8)[0]` **To Reproduce** this will fail with the following error: `TypeError: Object of type...

**Problem** 1. SampleSet returned by neal has no timing info analogous to `DWaveSampler().sample(...).info['timing']` 2. Other useful bits of info like `num_sweeps_per_beta = max(1, num_sweeps // 1000.0)`, `num_betas = int(math.ceil(num_sweeps /...

**Description** draw_topology functions, e.g., `draw_pegasus`, errors when you supply linear biases and not quadratic biases (vice versa too) **To Reproduce** ``` import dwave_networkx as dnx G = dnx.pegasus_graph(3) # This...

Need to seed/randomize the `find_subgraph` function

3

I cannot randomize nor fix the seed used in `minorminer.subgraph.find_subgraph` `find_subgraph(subgraph, big_graph, value_ordering='random')` always gives the same result

[CLI] crashing on incorrect arguments (cache caching ?)

8

Version: be3bbce Fixed in: https://github.com/UBC-Stat-ML/blangSDK/commit/eeaba3aa493c03b170acc86a40fba6de533f6d07#diff-a82ae04972228cc12ea17d6dd56e1c22R127 Error message example: ``` ERROR:Exponential cannot be resolved. (file:Example.bl line : 13 column : 13) ERROR:Exponential cannot be resolved. (file:Example.bl line : 14 column :...

[CLI] dependencies crashing

2

Current code not robust. Reproduce by creating a dependencies.txt as follows: ``` ca.ubc.stat:conifer:2.0.4 ``` **note empty line** **NOT** ``` ca.ubc.stat:conifer:2.0.4 ``` call `blang` cli and it should crash. standalone compiler...

Improve diagnostic for underflow errors

2

Currently, out-of-support-errors stemmed from underflow issues do not suggest source of error.

Use forward sampling instead of adding another dimension to the target.

Inconsistent existence of coordinate systems in node attributes

1

Graph node attributes contain inconsistent node attributes depending on initialization. This makes downstream code unnecessarily complex and unreliable Example: ``` import dwave_networkx as dnx P = dnx.pegasus_graph(6, coordinates=False) print(P.nodes[20]) P...