entelecheia / thematos

A HyFI plugin for Topic Modeling
https://thematos.entelecheia.ai/
MIT License
1 stars 1 forks source link

chore(deps): bump hyfi from 1.20.0 to 1.25.0 #37

Closed dependabot[bot] closed 1 year ago

dependabot[bot] commented 1 year ago

Bumps hyfi from 1.20.0 to 1.25.0.

Release notes

Sourced from hyfi's releases.

v1.25.0

Feature

  • hyfi: Add dataframe select columns configuration (8a3040a)
  • datasets: Add dataframe_select_columns method in DSBasic class (d46c3cf)

Fix

  • hyfi: Change discard_filename value to null (01780be)
  • slice: Change default discard_filename value, return original data from filter_data_by_queries function (c2b38ea)

v1.24.0

Feature

  • hyfi/utils: Add simpleeval.py, improve simpleeval to support more features (533acac)

Fix

  • pipeline/config: Remove lambda function support (62e253d)

v1.23.0

Feature

  • datasets: Add example usage to split_dataframe function (acb9a51)
  • datasets: Add merge_dataframes function to DSCombine class (bc62681)
  • hyfi/conf: Add split_dataframe configuration files (fb254e7)
  • hyfi: Add merge_dataframes configuration (40a1cae)
  • databases/basic.py: Add multiple utility functions for dataframe operations (d36cc9a)
  • hyfi: Add dataframe print head and tail configuration files (d79915b)
  • hyfi: Add dataframe_eval_columns_with_pd_eval configuration files (8889809)
  • hyfi/conf: Add new yaml configuration files for dataframe_eval_columns_with_eval (68791c7)
  • hyfi: Add dataframe_eval_columns configuration files (4595a2a)
  • hyfi/conf/pipe: Add new dataframe_combine_str_columns config (6b85d0a)
  • hyfi: Add split string column functionality in dataframe config files (1ec66ec)
  • hyfi/conf: Add dataframe drop configuration files (7367788)
  • hyfi: Add dataframe drop columns configuration files (376be79)
  • datasets: Add aggregate, basic and reshape classes, rename transform to combine, process to plot, filter to slice (142c74a)

Documentation

  • README: Add codefactor and codacy badges (177fa5f)

v1.22.0

Feature

  • hyfi: Add dataset_remove_columns configuration (44a5db2)

Fix

  • composer: Handle string values in group configuration (eb5eeb4)

... (truncated)

Changelog

Sourced from hyfi's changelog.

v1.25.0 (2023-08-08)

Feature

  • hyfi: Add dataframe select columns configuration (8a3040a)
  • datasets: Add dataframe_select_columns method in DSBasic class (d46c3cf)

Fix

  • hyfi: Change discard_filename value to null (01780be)
  • slice: Change default discard_filename value, return original data from filter_data_by_queries function (c2b38ea)

v1.24.0 (2023-08-08)

Feature

  • hyfi/utils: Add simpleeval.py, improve simpleeval to support more features (533acac)

Fix

  • pipeline/config: Remove lambda function support (62e253d)

v1.23.0 (2023-08-08)

Feature

  • datasets: Add example usage to split_dataframe function (acb9a51)
  • datasets: Add merge_dataframes function to DSCombine class (bc62681)
  • hyfi/conf: Add split_dataframe configuration files (fb254e7)
  • hyfi: Add merge_dataframes configuration (40a1cae)
  • databases/basic.py: Add multiple utility functions for dataframe operations (d36cc9a)
  • hyfi: Add dataframe print head and tail configuration files (d79915b)
  • hyfi: Add dataframe_eval_columns_with_pd_eval configuration files (8889809)
  • hyfi/conf: Add new yaml configuration files for dataframe_eval_columns_with_eval (68791c7)
  • hyfi: Add dataframe_eval_columns configuration files (4595a2a)
  • hyfi/conf/pipe: Add new dataframe_combine_str_columns config (6b85d0a)
  • hyfi: Add split string column functionality in dataframe config files (1ec66ec)
  • hyfi/conf: Add dataframe drop configuration files (7367788)
  • hyfi: Add dataframe drop columns configuration files (376be79)
  • datasets: Add aggregate, basic and reshape classes, rename transform to combine, process to plot, filter to slice (142c74a)

Documentation

  • README: Add codefactor and codacy badges (177fa5f)

v1.22.0 (2023-08-07)

Feature

  • hyfi: Add dataset_remove_columns configuration (44a5db2)

... (truncated)

Commits
  • 6752b49 chore(release): :rocket: 1.25.0 [skip ci]
  • 4e34d27 Merge pull request #192 from entelecheia/1.24.dev
  • 01780be fix(hyfi): change discard_filename value to null
  • 8a3040a feat(hyfi): add dataframe select columns configuration
  • d46c3cf feat(datasets): add dataframe_select_columns method in DSBasic class
  • c2b38ea fix(slice): change default discard_filename value, return original data from ...
  • 6b83f75 chore(release): :rocket: 1.24.0 [skip ci]
  • 4c98758 Merge pull request #191 from entelecheia/1.23.fix
  • e152bda chore(tests): remove redundant testing code
  • 533acac feat(hyfi/utils): add simpleeval.py, improve simpleeval to support more features
  • Additional commits viewable in compare view


Dependabot compatibility score

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.


Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

 Mention [stepsize] in a comment if you'd like to report some technical debt. See examples here.

dependabot[bot] commented 1 year ago

The following labels could not be found: :game_die: dependencies, :robot: bot.

pull-request-quantifier-deprecated[bot] commented 1 year ago

This PR has 2 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

``` Label : Extra Small Size : +1 -1 Percentile : 0.8% Total files changed: 1 Change summary by file extension: .lock : +1 -1 ``` > Change counts above are quantified counts, based on the [PullRequestQuantifier customizations](https://github.com/microsoft/PullRequestQuantifier/blob/main/docs/prquantifier-yaml.md).

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a balance between between PR complexity and PR review overhead. PRs within the optimal size (typical small, or medium sized PRs) mean: - Fast and predictable releases to production: - Optimal size changes are more likely to be reviewed faster with fewer iterations. - Similarity in low PR complexity drives similar review times. - Review quality is likely higher as complexity is lower: - Bugs are more likely to be detected. - Code inconsistencies are more likely to be detected. - Knowledge sharing is improved within the participants: - Small portions can be assimilated better. - Better engineering practices are exercised: - Solving big problems by dividing them in well contained, smaller problems. - Exercising separation of concerns within the code changes. #### What can I do to optimize my changes - Use the PullRequestQuantifier to quantify your PR accurately - Create a context profile for your repo using the [context generator](https://github.com/microsoft/PullRequestQuantifier/releases) - Exclude files that are not necessary to be reviewed or do not increase the review complexity. Example: Autogenerated code, docs, project IDE setting files, binaries, etc. Check out the `Excluded` section from your `prquantifier.yaml` context profile. - Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your `prquantifier.yaml` context profile. - Only use the labels that matter to you, [see context specification](./docs/prquantifier-yaml.md) to customize your `prquantifier.yaml` context profile. - Change your engineering behaviors - For PRs that fall outside of the desired spectrum, review the details and check if: - Your PR could be split in smaller, self-contained PRs instead - Your PR only solves one particular issue. (For example, don't refactor and code new features in the same PR). #### How to interpret the change counts in git diff output - One line was added: `+1 -0` - One line was deleted: `+0 -1` - One line was modified: `+1 -1` (git diff doesn't know about modified, it will interpret that line like one addition plus one deletion) - Change percentiles: Change characteristics (addition, deletion, modification) of this PR in relation to all other PRs within the repository.


Was this comment helpful? :thumbsup:  :ok_hand:  :thumbsdown: (Email) Customize PullRequestQuantifier for this repository.

dependabot[bot] commented 1 year ago

Superseded by #38.