Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 3 new columns ({'maintainer_email', 'comment_text', 'maintainer'}) and 4 missing columns ({'uploaded_via', 'metadata_version', 'description_content_type', 'license_expression'}).

This happened while the json dataset builder was generating data using

hf://datasets/labofsahil/pypi-packages-metadata-dataset/pypi-packages-metadata-000000000001.json (at revision d6843a9a8a035f740764b470670ec5359422de08)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              name: string
              version: string
              summary: string
              description: string
              author: string
              author_email: string
              license: string
              keywords: string
              classifiers: list<item: string>
                child 0, item: string
              platform: list<item: string>
                child 0, item: string
              home_page: string
              download_url: string
              requires: list<item: string>
                child 0, item: string
              provides: list<item: string>
                child 0, item: string
              obsoletes: list<item: null>
                child 0, item: null
              requires_dist: list<item: string>
                child 0, item: string
              provides_dist: list<item: null>
                child 0, item: null
              obsoletes_dist: list<item: null>
                child 0, item: null
              requires_external: list<item: null>
                child 0, item: null
              project_urls: list<item: string>
                child 0, item: string
              upload_time: string
              filename: string
              size: string
              path: string
              python_version: string
              packagetype: string
              has_signature: bool
              md5_digest: string
              sha256_digest: string
              blake2_256_digest: string
              license_files: list<item: null>
                child 0, item: null
              maintainer: string
              maintainer_email: string
              comment_text: string
              requires_python: string
              to
              {'metadata_version': Value('string'), 'name': Value('string'), 'version': Value('string'), 'summary': Value('string'), 'description': Value('string'), 'description_content_type': Value('string'), 'author': Value('string'), 'author_email': Value('string'), 'license': Value('string'), 'keywords': Value('string'), 'classifiers': List(Value('string')), 'platform': List(Value('null')), 'home_page': Value('string'), 'download_url': Value('string'), 'requires': List(Value('null')), 'provides': List(Value('null')), 'obsoletes': List(Value('null')), 'requires_dist': List(Value('string')), 'provides_dist': List(Value('null')), 'obsoletes_dist': List(Value('null')), 'requires_external': List(Value('null')), 'project_urls': List(Value('string')), 'uploaded_via': Value('string'), 'upload_time': Value('string'), 'filename': Value('string'), 'size': Value('string'), 'path': Value('string'), 'python_version': Value('string'), 'packagetype': Value('string'), 'has_signature': Value('bool'), 'md5_digest': Value('string'), 'sha256_digest': Value('string'), 'blake2_256_digest': Value('string'), 'license_files': List(Value('string')), 'requires_python': Value('string'), 'license_expression': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1451, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 994, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 3 new columns ({'maintainer_email', 'comment_text', 'maintainer'}) and 4 missing columns ({'uploaded_via', 'metadata_version', 'description_content_type', 'license_expression'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/labofsahil/pypi-packages-metadata-dataset/pypi-packages-metadata-000000000001.json (at revision d6843a9a8a035f740764b470670ec5359422de08)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

metadata_version
string
name
string
version
string
summary
string
description
string
description_content_type
string
author
null
author_email
null
license
null
keywords
null
classifiers
list
platform
list
home_page
null
download_url
null
requires
list
provides
list
obsoletes
list
requires_dist
list
provides_dist
list
obsoletes_dist
list
requires_external
list
project_urls
list
uploaded_via
string
upload_time
string
filename
string
size
string
path
string
python_version
string
packagetype
string
has_signature
bool
md5_digest
string
sha256_digest
string
blake2_256_digest
string
license_files
list
requires_python
string
license_expression
string
2.4
types-protobuf
6.30.2.20250914
Typing stubs for protobuf
## Typing stubs for protobuf This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`protobuf`](https://github.com/protocolbuffers/protobuf) package. It can be used by type checkers to check code that uses `protobuf`. This version of `types-protobuf` aims to provide accurate annotations for `protobuf~=6.30.2`. Partially generated using [mypy-protobuf==3.6.0](https://github.com/nipunn1313/mypy-protobuf/tree/v3.6.0) and libprotoc 29.0 on [protobuf v30.2](https://github.com/protocolbuffers/protobuf/releases/tag/v30.2) (python `protobuf==6.30.2`). This stub package is marked as [partial](https://typing.python.org/en/latest/spec/distributing.html#partial-stub-packages). If you find that annotations are missing, feel free to contribute and help complete them. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/protobuf`](https://github.com/python/typeshed/tree/main/stubs/protobuf) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for protobuf
## Typing stubs for protobuf This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`protobuf`](https://github.com/protocolbuffers/protobuf) package. It can be used by type checkers to check code that uses `protobuf`. This version of `types-protobuf` aims to provide accurate annotations for `protobuf~=6.30.2`. Partially generated using [mypy-protobuf==3.6.0](https://github.com/nipunn1313/mypy-protobuf/tree/v3.6.0) and libprotoc 29.0 on [protobuf v30.2](https://github.com/protocolbuffers/protobuf/releases/tag/v30.2) (python `protobuf==6.30.2`). This stub package is marked as [partial](https://typing.python.org/en/latest/spec/distributing.html#partial-stub-packages). If you find that annotations are missing, feel free to contribute and help complete them. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/protobuf`](https://github.com/python/typeshed/tree/main/stubs/protobuf) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for docutils
## Typing stubs for docutils This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`docutils`](https://sourceforge.net/p/docutils/code) package. It can be used by type checkers to check code that uses `docutils`. This version of `types-docutils` aims to provide accurate annotations for `docutils==0.22.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/docutils`](https://github.com/python/typeshed/tree/main/stubs/docutils) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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## Typing stubs for pyasn1 This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`pyasn1`](https://github.com/pyasn1/pyasn1) package. It can be used by type checkers to check code that uses `pyasn1`. This version of `types-pyasn1` aims to provide accurate annotations for `pyasn1==0.6.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/pyasn1`](https://github.com/python/typeshed/tree/main/stubs/pyasn1) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for pyasn1
## Typing stubs for pyasn1 This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`pyasn1`](https://github.com/pyasn1/pyasn1) package. It can be used by type checkers to check code that uses `pyasn1`. This version of `types-pyasn1` aims to provide accurate annotations for `pyasn1==0.6.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/pyasn1`](https://github.com/python/typeshed/tree/main/stubs/pyasn1) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for openpyxl
## Typing stubs for openpyxl This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`openpyxl`](https://foss.heptapod.net/openpyxl/openpyxl) package. It can be used by type checkers to check code that uses `openpyxl`. This version of `types-openpyxl` aims to provide accurate annotations for `openpyxl==3.1.5`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/openpyxl`](https://github.com/python/typeshed/tree/main/stubs/openpyxl) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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## Typing stubs for openpyxl This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`openpyxl`](https://foss.heptapod.net/openpyxl/openpyxl) package. It can be used by type checkers to check code that uses `openpyxl`. This version of `types-openpyxl` aims to provide accurate annotations for `openpyxl==3.1.5`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/openpyxl`](https://github.com/python/typeshed/tree/main/stubs/openpyxl) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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1.1.0.20250914
Typing stubs for PyMySQL
## Typing stubs for PyMySQL This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`PyMySQL`](https://github.com/PyMySQL/PyMySQL) package. It can be used by type checkers to check code that uses `PyMySQL`. This version of `types-PyMySQL` aims to provide accurate annotations for `PyMySQL==1.1.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/PyMySQL`](https://github.com/python/typeshed/tree/main/stubs/PyMySQL) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for PyMySQL
## Typing stubs for PyMySQL This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`PyMySQL`](https://github.com/PyMySQL/PyMySQL) package. It can be used by type checkers to check code that uses `PyMySQL`. This version of `types-PyMySQL` aims to provide accurate annotations for `PyMySQL==1.1.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/PyMySQL`](https://github.com/python/typeshed/tree/main/stubs/PyMySQL) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for pywin32
## Typing stubs for pywin32 This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`pywin32`](https://github.com/mhammond/pywin32) package. It can be used by type checkers to check code that uses `pywin32`. This version of `types-pywin32` aims to provide accurate annotations for `pywin32==311.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/pywin32`](https://github.com/python/typeshed/tree/main/stubs/pywin32) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for pywin32
## Typing stubs for pywin32 This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`pywin32`](https://github.com/mhammond/pywin32) package. It can be used by type checkers to check code that uses `pywin32`. This version of `types-pywin32` aims to provide accurate annotations for `pywin32==311.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/pywin32`](https://github.com/python/typeshed/tree/main/stubs/pywin32) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for pika
## Typing stubs for pika This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`pika`](https://github.com/pika/pika) package. It can be used by type checkers to check code that uses `pika`. This version of `types-pika-ts` aims to provide accurate annotations for `pika==1.3.*`. The `types-pika` package contains alternate, more complete type stubs, that are maintained outside of typeshed. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/pika`](https://github.com/python/typeshed/tree/main/stubs/pika) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for pika
## Typing stubs for pika This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`pika`](https://github.com/pika/pika) package. It can be used by type checkers to check code that uses `pika`. This version of `types-pika-ts` aims to provide accurate annotations for `pika==1.3.*`. The `types-pika` package contains alternate, more complete type stubs, that are maintained outside of typeshed. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/pika`](https://github.com/python/typeshed/tree/main/stubs/pika) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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A wrapper of matplotlib and wxPython (phoenix)
# mwxlib Welcome to mwxlib project! Python package based on matplotlib/wx and wxPython shell extension library See [Demo Script and Gallery](./demo/readme.md). ## Getting Started These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system. ### Prerequisites - ~~Python 2.7~~ (PY2 support has ended since 0.50) - ~~Python 3.5~~ (PY35 support has ended since 0.70) - ~~Python 3.7~~ (PY37 support has ended since 0.80) - ~~Python 3.8 -- 3.9~~ (Deprecated since 0.90) - Python 3.10 -- 3.12 - wxpython >= 4.2.2 (recommended) - numpy - pillow - matplotlib - opencv-python - Python 3.13 - There are some bugs in mwxlib that remain unfixed. - A version of wxpython for PY313 has released on PyPi. * You can also download the snapshot from https://wxpython.org/Phoenix/snapshot-builds/, ### Installing To install, type: ``` pip install mwxlib ``` To install latest version from GitHub, type: ``` pip install git+https://github.com/komoto48g/mwxlib.git ``` ### How to use mwx.deb is wx.py.shell-base inspector used for debugging in the target process. ``` >>> import mwx; mwx.deb() ``` :memo: mwxlib creates "~/.mwxlib/" in your *HOME* directory. This includes history, logs, dump files used to check when an error occurs. :memo: At the first startup, it takes some time to collect module information and create a dictionary file. The collected module name is used for completion at the time of input in the shell. (If you start the shell while pressing [C-S-], the dictionary file will be recreated) As you are diving into the python process, you can watch, inspect, and debug the target. Enjoy diving! ### Uninstalling ``` pip uninstall mwxlib ``` # Features ![intro](./demo/images/demo-shell.gif) The animation shows how the Nautilus works, which is embedded in a simple PyEditor app. As you are diving into the python process, you can watch, inspect, and change everything in the target. ## Nautilus in the Shell The framework has an extended class based on wx.py.shell.Shell named Nautilus, which has the following features: 1. Auto-completion and apropos functions are reinforced. - [1] history-comp-mode - [2] word-comp-mode - [3] apropos-comp-mode - [4] text-comp-mode - [5] module-comp-mode 2. Magic syntax. - [ ` ] quoteback - [@] pullback 3. Powerful inspectoin utilities. - Filling - InspectionTool - Ghost in the shell **All objects in the process can be accessed using:** ``` self : the target of the shell, this : the module which includes target. ``` **To include the shell in your wxPython application:** ``` >>> self.inspector = mwx.ShellFrame(self, target=self) ``` ## Autocomp key bindings C-up : [0] retrieve previous history C-down : [0] retrieve next history C-j, M-j : [0] tooltip of eval (for the selected or focused word) C-h, M-h : [0] calltip of help (for the selected or focused func) TAB : [1] history-comp-mode M-p : [1] retrieve previous history in comp-mode M-n : [1] retrieve next history in comp-mode M-. : [2] word-comp-mode M-/ : [3] apropos-comp-mode M-, : [4] text-comp-mode M-m : [5] module-comp-mode * All completions [1--5] are incremental when pressed any alnums, and decremental when backspace. See [key bindings](key-bindings.md) for more information. ## Magic syntax - quoteback : ```x`y --> y=x | x`y`z --> z=y=x``` - pullback : ```x@y --> y(x) | x@y@z --> z(y(x))``` - apropos : ```x.y? [not] p => shows apropos &optional (not-)matched by p:predicates``` equiv. apropos(y, x [,ignorecase ?:True,??:False] [,pred=p]) y can contain regular expressions. (RE) \\a:[a-z], \\A:[A-Z] can be used in addition. p can be ?atom, ?callable, ?instance(*types), and predicates imported from inspect e.g., isclass, ismodule, ismethod, isfunction, etc. * info : ?x --> info(x) shows short information * help : ??x --> help(x) shows full description * sx : !x --> sx(x) executes command in external shell Note: The last three (*) are original syntax defined in wx.py.shell, at present version, enabled with USE_MAGIC switch being on ## built-in utilities @p : Synonym of print. @pp : Synonym of pprint. @mro : Display mro list and filename:lineno. @where : Display filename:lineno. @info : Short info. @help : Full description. @load : Load a file in Log. @dive : Clone the shell with new target. @debug : Open pdb debugger or event monitor. @watch : Watch for events using event monitor. @timeit : Measure CPU time (per one execution). @profile : Profile a single function call. @highlight : Highlight the widget. @filling : Inspection using ``wx.lib.filling.Filling``. ## Ghost in the shell Ghost in the shell is the help system for divers, which is a notebook-style window consists of four editors: - scratch buffer + a temporary buffer - Help buffer + piping text from info(?) and help(??) - Logging buffer + logging debug process and the input-history # Authors * Kazuya O'moto - *Initial work* - See also the list of who participated in this project. # Attribution Default icons are provided by `wx.ArtProvider`. Optional icons are provided by: - [famfamfam: Silk icons](http://www.famfamfam.com/lab/icons/silk/) designed by Mark James. - [Tango desktop project](http://tango.freedesktop.org/Tango_Desktop_Project). - [Iconify - Freedom to choose icons](https://iconify.design/). Note: Other icons could be attributed to other open sources. This is a mish-mash of stuff from all over the internet. If I missed an author credit or attribution, please let me know. # License This project is licensed under the MIT License - see the [LICENSE](./LICENSE) file for details
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## Typing stubs for pyserial This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`pyserial`](https://github.com/pyserial/pyserial) package. It can be used by type checkers to check code that uses `pyserial`. This version of `types-pyserial` aims to provide accurate annotations for `pyserial==3.5.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/pyserial`](https://github.com/python/typeshed/tree/main/stubs/pyserial) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for pyserial
## Typing stubs for pyserial This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`pyserial`](https://github.com/pyserial/pyserial) package. It can be used by type checkers to check code that uses `pyserial`. This version of `types-pyserial` aims to provide accurate annotations for `pyserial==3.5.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/pyserial`](https://github.com/python/typeshed/tree/main/stubs/pyserial) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for reportlab
## Typing stubs for reportlab This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`reportlab`](https://github.com/MrBitBucket/reportlab-mirror) package. It can be used by type checkers to check code that uses `reportlab`. This version of `types-reportlab` aims to provide accurate annotations for `reportlab~=4.4.1`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/reportlab`](https://github.com/python/typeshed/tree/main/stubs/reportlab) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for reportlab
## Typing stubs for reportlab This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`reportlab`](https://github.com/MrBitBucket/reportlab-mirror) package. It can be used by type checkers to check code that uses `reportlab`. This version of `types-reportlab` aims to provide accurate annotations for `reportlab~=4.4.1`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/reportlab`](https://github.com/python/typeshed/tree/main/stubs/reportlab) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for lupa
## Typing stubs for lupa This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`lupa`](https://github.com/scoder/lupa) package. It can be used by type checkers to check code that uses `lupa`. This version of `types-lupa` aims to provide accurate annotations for `lupa==2.5.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/lupa`](https://github.com/python/typeshed/tree/main/stubs/lupa) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for lupa
## Typing stubs for lupa This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`lupa`](https://github.com/scoder/lupa) package. It can be used by type checkers to check code that uses `lupa`. This version of `types-lupa` aims to provide accurate annotations for `lupa==2.5.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/lupa`](https://github.com/python/typeshed/tree/main/stubs/lupa) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for cffi
## Typing stubs for cffi This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`cffi`](https://github.com/python-cffi/cffi/) package. It can be used by type checkers to check code that uses `cffi`. This version of `types-cffi` aims to provide accurate annotations for `cffi==1.17.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/cffi`](https://github.com/python/typeshed/tree/main/stubs/cffi) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for cffi
## Typing stubs for cffi This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`cffi`](https://github.com/python-cffi/cffi/) package. It can be used by type checkers to check code that uses `cffi`. This version of `types-cffi` aims to provide accurate annotations for `cffi==1.17.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/cffi`](https://github.com/python/typeshed/tree/main/stubs/cffi) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for icalendar
## Typing stubs for icalendar This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`icalendar`](https://github.com/collective/icalendar) package. It can be used by type checkers to check code that uses `icalendar`. This version of `types-icalendar` aims to provide accurate annotations for `icalendar==6.3.1`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/icalendar`](https://github.com/python/typeshed/tree/main/stubs/icalendar) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for icalendar
## Typing stubs for icalendar This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`icalendar`](https://github.com/collective/icalendar) package. It can be used by type checkers to check code that uses `icalendar`. This version of `types-icalendar` aims to provide accurate annotations for `icalendar==6.3.1`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/icalendar`](https://github.com/python/typeshed/tree/main/stubs/icalendar) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for Authlib
## Typing stubs for Authlib This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`Authlib`](https://github.com/lepture/authlib) package. It can be used by type checkers to check code that uses `Authlib`. This version of `types-Authlib` aims to provide accurate annotations for `Authlib~=1.6.2`. This stub package is marked as [partial](https://typing.python.org/en/latest/spec/distributing.html#partial-stub-packages). If you find that annotations are missing, feel free to contribute and help complete them. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/Authlib`](https://github.com/python/typeshed/tree/main/stubs/Authlib) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for Authlib
## Typing stubs for Authlib This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`Authlib`](https://github.com/lepture/authlib) package. It can be used by type checkers to check code that uses `Authlib`. This version of `types-Authlib` aims to provide accurate annotations for `Authlib~=1.6.2`. This stub package is marked as [partial](https://typing.python.org/en/latest/spec/distributing.html#partial-stub-packages). If you find that annotations are missing, feel free to contribute and help complete them. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/Authlib`](https://github.com/python/typeshed/tree/main/stubs/Authlib) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for django-filter
## Typing stubs for django-filter This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`django-filter`](https://github.com/carltongibson/django-filter/) package. It can be used by type checkers to check code that uses `django-filter`. This version of `types-django-filter` aims to provide accurate annotations for `django-filter==25.1.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/django-filter`](https://github.com/python/typeshed/tree/main/stubs/django-filter) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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25.1.0.20250914
Typing stubs for django-filter
## Typing stubs for django-filter This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`django-filter`](https://github.com/carltongibson/django-filter/) package. It can be used by type checkers to check code that uses `django-filter`. This version of `types-django-filter` aims to provide accurate annotations for `django-filter==25.1.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/django-filter`](https://github.com/python/typeshed/tree/main/stubs/django-filter) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for shapely
## Typing stubs for shapely This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`shapely`](https://github.com/shapely/shapely) package. It can be used by type checkers to check code that uses `shapely`. This version of `types-shapely` aims to provide accurate annotations for `shapely==2.1.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/shapely`](https://github.com/python/typeshed/tree/main/stubs/shapely) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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2.1.0.20250914
Typing stubs for shapely
## Typing stubs for shapely This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`shapely`](https://github.com/shapely/shapely) package. It can be used by type checkers to check code that uses `shapely`. This version of `types-shapely` aims to provide accurate annotations for `shapely==2.1.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/shapely`](https://github.com/python/typeshed/tree/main/stubs/shapely) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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3.5.0.20250914
Typing stubs for networkx
## Typing stubs for networkx This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`networkx`](https://github.com/networkx/networkx) package. It can be used by type checkers to check code that uses `networkx`. This version of `types-networkx` aims to provide accurate annotations for `networkx==3.5`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/networkx`](https://github.com/python/typeshed/tree/main/stubs/networkx) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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3.5.0.20250914
Typing stubs for networkx
## Typing stubs for networkx This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`networkx`](https://github.com/networkx/networkx) package. It can be used by type checkers to check code that uses `networkx`. This version of `types-networkx` aims to provide accurate annotations for `networkx==3.5`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/networkx`](https://github.com/python/typeshed/tree/main/stubs/networkx) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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8.2.0.20250914
Typing stubs for qrcode
## Typing stubs for qrcode This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`qrcode`](https://github.com/lincolnloop/python-qrcode) package. It can be used by type checkers to check code that uses `qrcode`. This version of `types-qrcode` aims to provide accurate annotations for `qrcode==8.2.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/qrcode`](https://github.com/python/typeshed/tree/main/stubs/qrcode) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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8.2.0.20250914
Typing stubs for qrcode
## Typing stubs for qrcode This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`qrcode`](https://github.com/lincolnloop/python-qrcode) package. It can be used by type checkers to check code that uses `qrcode`. This version of `types-qrcode` aims to provide accurate annotations for `qrcode==8.2.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/qrcode`](https://github.com/python/typeshed/tree/main/stubs/qrcode) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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0.13.2.20250914
Typing stubs for seaborn
## Typing stubs for seaborn This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`seaborn`](https://github.com/mwaskom/seaborn) package. It can be used by type checkers to check code that uses `seaborn`. This version of `types-seaborn` aims to provide accurate annotations for `seaborn==0.13.2`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/seaborn`](https://github.com/python/typeshed/tree/main/stubs/seaborn) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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2025-09-14 02:57:01.730822 UTC
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types-seaborn
0.13.2.20250914
Typing stubs for seaborn
## Typing stubs for seaborn This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`seaborn`](https://github.com/mwaskom/seaborn) package. It can be used by type checkers to check code that uses `seaborn`. This version of `types-seaborn` aims to provide accurate annotations for `seaborn==0.13.2`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/seaborn`](https://github.com/python/typeshed/tree/main/stubs/seaborn) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for gevent
## Typing stubs for gevent This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`gevent`](https://github.com/gevent/gevent) package. It can be used by type checkers to check code that uses `gevent`. This version of `types-gevent` aims to provide accurate annotations for `gevent==25.4.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/gevent`](https://github.com/python/typeshed/tree/main/stubs/gevent) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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2025-09-14 02:57:05.479771 UTC
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25.4.0.20250914
Typing stubs for gevent
## Typing stubs for gevent This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`gevent`](https://github.com/gevent/gevent) package. It can be used by type checkers to check code that uses `gevent`. This version of `types-gevent` aims to provide accurate annotations for `gevent==25.4.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/gevent`](https://github.com/python/typeshed/tree/main/stubs/gevent) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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types-hvac
2.3.0.20250914
Typing stubs for hvac
## Typing stubs for hvac This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`hvac`](https://github.com/hvac/hvac) package. It can be used by type checkers to check code that uses `hvac`. This version of `types-hvac` aims to provide accurate annotations for `hvac==2.3.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/hvac`](https://github.com/python/typeshed/tree/main/stubs/hvac) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Typing stubs for hvac
## Typing stubs for hvac This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html) for the [`hvac`](https://github.com/hvac/hvac) package. It can be used by type checkers to check code that uses `hvac`. This version of `types-hvac` aims to provide accurate annotations for `hvac==2.3.*`. This package is part of the [typeshed project](https://github.com/python/typeshed). All fixes for types and metadata should be contributed there. See [the README](https://github.com/python/typeshed/blob/main/README.md) for more details. The source for this package can be found in the [`stubs/hvac`](https://github.com/python/typeshed/tree/main/stubs/hvac) directory. This package was tested with the following type checkers: * [mypy](https://github.com/python/mypy/) 1.18.1 * [pyright](https://github.com/microsoft/pyright) 1.1.405 It was generated from typeshed commit [`4b0623f4fb2c4e5a04a0244e1592b1481a26e47e`](https://github.com/python/typeshed/commit/4b0623f4fb2c4e5a04a0244e1592b1481a26e47e).
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Infrastructure for building and deploying prod-ready services
# svc-infra Will add description later.
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2025-09-14 02:57:47.668846 UTC
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course-constraint-scheduler
2.2.2.post0
A constraint solver for generating schedules
# Course Constraint Scheduler A powerful constraint satisfaction solver for generating academic course schedules using the Z3 theorem prover. ## Overview The Course Constraint Scheduler is designed to solve complex academic scheduling problems by modeling them as constraint satisfaction problems. It can handle: - **Faculty Constraints**: Availability, credit limits, course preferences - **Room Constraints**: Room assignments, lab requirements, capacity limits - **Time Constraints**: Time slot conflicts, meeting patterns, duration requirements - **Course Constraints**: Prerequisites, conflicts, section limits - **Optimization**: Multiple optimization strategies for better schedules ## Features - **Z3 Integration**: Uses Microsoft's Z3 theorem prover for efficient constraint solving - **Flexible Configuration**: JSON-based configuration with comprehensive validation - **Multiple Output Formats**: JSON and CSV output support with type-safe serialization - **REST API**: Full HTTP API for integration with web applications - **Asynchronous Processing**: Background schedule generation for large problems - **Session Management**: Persistent sessions for iterative schedule generation - **Optimization Flags**: Configurable optimization strategies - **Type Safety**: Comprehensive TypedDict definitions for all JSON structures - **Enhanced Validation**: Cross-reference validation and business logic constraints - **Improved Error Handling**: Detailed error messages for configuration debugging - **Strict Type Validation**: Pydantic models with strict validation and custom type definitions - **Computed Fields**: Automatic serialization with computed fields for clean JSON output ## Quick Start Requires a minimum version of Python 3.12 ### Installation ```bash pip install course-constraint-scheduler ``` ### Command Line Usage ```bash # Generate schedules from configuration file scheduler example.json --limit 10 --format json --output schedules # Interactive mode scheduler example.json --limit 5 ``` ### Python API ```python from scheduler import ( CombinedConfig, Scheduler, load_config_from_file, ) # Load configuration config = load_config_from_file(CombinedConfig, "example.json") # Create scheduler scheduler = Scheduler(config) # Generate schedules for schedule in scheduler.get_models(): print("Schedule:") for course in schedule: print(f"{course.as_csv()}") ``` ### REST API ```bash # Start the server with custom options scheduler-server --port 8000 --host 0.0.0.0 --log-level info --workers 16 # Submit a schedule request curl -X POST "http://localhost:8000/submit" \ -H "Content-Type: application/json" \ -d @example.json # Get the next schedule curl -X POST "http://localhost:8000/schedules/{schedule_id}/next" # Check generation progress curl -X GET "http://localhost:8000/schedules/{schedule_id}/count" ``` ## Documentation First, ensure the scheduler is installed via the [Installation](#installation) section above. ### Python API Documentation To view the Python API documentation: ```console pip install pdoc pdoc scheduler ``` ### REST API Documentation To access the REST API documentation: ```console scheduler-server # open http://localhost:8000/docs/ in a web browser ``` ### Configuration Guide It is recommended to launch the REST API documentation and look at the Schema for `/submit` Alternatively, you can visit [./docs/configuration.md](./docs/configuration.md) to see the documentation related to the configuration file format and examples. ## Configuration The scheduler uses a JSON configuration file that defines: - **Rooms and Labs**: Available facilities and their constraints - **Courses**: Course requirements, conflicts, and faculty assignments - **Faculty**: Availability, preferences, and teaching constraints - **Time Slots**: Available time blocks and class patterns - **Optimization**: Flags for different optimization strategies Example configuration: ```json { "config": { "rooms": ["Room A", "Room B"], "labs": ["Lab 1"], "courses": [ { "course_id": "CS101", "credits": 3, "room": ["Room A"], "lab": ["Lab 1"], "conflicts": [], "faculty": ["Dr. Smith"] } ], "faculty": [ { "name": "Dr. Smith", "maximum_credits": 12, "minimum_credits": 6, "unique_course_limit": 3, "times": { "MON": ["09:00-17:00"], "TUE": ["09:00-17:00"], "WED": ["09:00-17:00"], "THU": ["09:00-17:00"], "FRI": ["09:00-17:00"] } } ] }, "time_slot_config": { "times": { "MON": [ { "start": "09:00", "spacing": 60, "end": "17:00" } ] }, "classes": [ { "credits": 3, "meetings": [ { "day": "MON", "duration": 150, "lab": false } ] } ] }, "limit": 10, "optimizer_flags": ["faculty_course", "pack_rooms"] } ``` ## Architecture The scheduler is built with a modular architecture: - **Core Solver**: Z3-based constraint satisfaction engine - **Configuration Management**: Pydantic-based configuration validation with comprehensive error handling - **Model Classes**: Enhanced data structures for courses, faculty, and time slots with improved serialization - **JSON Types**: Comprehensive TypedDict definitions for type-safe JSON handling - **Output Writers**: JSON and CSV output formatters with context manager support - **REST Server**: FastAPI-based HTTP API with asynchronous processing and session management - **Session Management**: Persistent session handling for large problems with background task support ## Performance - **Small Problems** (< 10 courses): Near-instantaneous solving - **Medium Problems** (10-50 courses): Seconds to minutes - **Large Problems** (50+ courses): May take several minutes - **Optimization**: Use appropriate optimizer flags to reduce solving time ## Development ### Setup ```bash # Clone the repository git clone <repository-url> cd course-constraint-scheduler # Install development dependencies pip install -e ".[dev]" # Run tests pytest # Run linting ruff check src/ ``` ### Project Structure ``` src/scheduler/ β”œβ”€β”€ __init__.py # Main package exports with all types β”œβ”€β”€ config.py # Configuration models with strict validation and type definitions β”œβ”€β”€ json_types.py # TypedDict definitions for JSON structures β”œβ”€β”€ logging.py # Logging setup β”œβ”€β”€ main.py # Command-line interface β”œβ”€β”€ scheduler.py # Core scheduling logic with Z3 integration β”œβ”€β”€ server.py # REST API server with session management β”œβ”€β”€ time_slot_generator.py # Utility for generating valid time slots β”œβ”€β”€ models/ # Enhanced data models β”‚ β”œβ”€β”€ __init__.py # Model exports β”‚ β”œβ”€β”€ course.py # Course and instance models with computed fields β”‚ β”œβ”€β”€ day.py # Day enumeration (IntEnum) β”‚ β”œβ”€β”€ time_slot.py # Time-related models with comprehensive methods β”‚ └── identifiable.py # Base identifiable class └── writers/ # Output formatters β”œβ”€β”€ __init__.py # Writer exports β”œβ”€β”€ csv_writer.py # CSV output with context manager support └── json_writer.py # JSON output with context manager support ``` ## Contributing 1. Fork the repository 2. Create a feature branch 3. Make your changes 4. Add tests for new functionality 5. Ensure all tests pass 6. Submit a pull request ## License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. ## Support For questions, issues, or feature requests: - Check the documentation - Review existing issues - Create a new issue with detailed information - Include configuration examples and error messages ## Recent Updates ### Enhanced Configuration Validation - Comprehensive cross-reference validation ensures all IDs exist - Business logic validation prevents impossible constraints - Detailed error messages for easier debugging - Support for preference scores (0-10) with improved validation ### Improved Type Safety - New `json_types.py` module with comprehensive TypedDict definitions - Type-safe JSON handling throughout the application - Enhanced serialization with computed fields - Better integration with modern Python type checking ### Enhanced REST API - Improved session management with background task support - Better error handling and status codes - Enhanced command-line options for server configuration - Comprehensive API documentation with examples ### Model Improvements - Enhanced Course and TimeSlot models with better methods - Improved serialization with computed fields - Better time handling with IntEnum for days - Context manager support for writers ## Roadmap - [ ] Web-based configuration interface - [ ] Schedule visualization tools - [ ] Multi-objective optimization support
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uv/0.8.4
2025-09-14 02:57:49.174166 UTC
course_constraint_scheduler-2.2.2.post0-py3-none-any.whl
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svc-infra
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Infrastructure for building and deploying prod-ready services
# svc-infra Will add description later.
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2025-09-14 02:57:49.320035 UTC
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course-constraint-scheduler
2.2.2.post0
A constraint solver for generating schedules
# Course Constraint Scheduler A powerful constraint satisfaction solver for generating academic course schedules using the Z3 theorem prover. ## Overview The Course Constraint Scheduler is designed to solve complex academic scheduling problems by modeling them as constraint satisfaction problems. It can handle: - **Faculty Constraints**: Availability, credit limits, course preferences - **Room Constraints**: Room assignments, lab requirements, capacity limits - **Time Constraints**: Time slot conflicts, meeting patterns, duration requirements - **Course Constraints**: Prerequisites, conflicts, section limits - **Optimization**: Multiple optimization strategies for better schedules ## Features - **Z3 Integration**: Uses Microsoft's Z3 theorem prover for efficient constraint solving - **Flexible Configuration**: JSON-based configuration with comprehensive validation - **Multiple Output Formats**: JSON and CSV output support with type-safe serialization - **REST API**: Full HTTP API for integration with web applications - **Asynchronous Processing**: Background schedule generation for large problems - **Session Management**: Persistent sessions for iterative schedule generation - **Optimization Flags**: Configurable optimization strategies - **Type Safety**: Comprehensive TypedDict definitions for all JSON structures - **Enhanced Validation**: Cross-reference validation and business logic constraints - **Improved Error Handling**: Detailed error messages for configuration debugging - **Strict Type Validation**: Pydantic models with strict validation and custom type definitions - **Computed Fields**: Automatic serialization with computed fields for clean JSON output ## Quick Start Requires a minimum version of Python 3.12 ### Installation ```bash pip install course-constraint-scheduler ``` ### Command Line Usage ```bash # Generate schedules from configuration file scheduler example.json --limit 10 --format json --output schedules # Interactive mode scheduler example.json --limit 5 ``` ### Python API ```python from scheduler import ( CombinedConfig, Scheduler, load_config_from_file, ) # Load configuration config = load_config_from_file(CombinedConfig, "example.json") # Create scheduler scheduler = Scheduler(config) # Generate schedules for schedule in scheduler.get_models(): print("Schedule:") for course in schedule: print(f"{course.as_csv()}") ``` ### REST API ```bash # Start the server with custom options scheduler-server --port 8000 --host 0.0.0.0 --log-level info --workers 16 # Submit a schedule request curl -X POST "http://localhost:8000/submit" \ -H "Content-Type: application/json" \ -d @example.json # Get the next schedule curl -X POST "http://localhost:8000/schedules/{schedule_id}/next" # Check generation progress curl -X GET "http://localhost:8000/schedules/{schedule_id}/count" ``` ## Documentation First, ensure the scheduler is installed via the [Installation](#installation) section above. ### Python API Documentation To view the Python API documentation: ```console pip install pdoc pdoc scheduler ``` ### REST API Documentation To access the REST API documentation: ```console scheduler-server # open http://localhost:8000/docs/ in a web browser ``` ### Configuration Guide It is recommended to launch the REST API documentation and look at the Schema for `/submit` Alternatively, you can visit [./docs/configuration.md](./docs/configuration.md) to see the documentation related to the configuration file format and examples. ## Configuration The scheduler uses a JSON configuration file that defines: - **Rooms and Labs**: Available facilities and their constraints - **Courses**: Course requirements, conflicts, and faculty assignments - **Faculty**: Availability, preferences, and teaching constraints - **Time Slots**: Available time blocks and class patterns - **Optimization**: Flags for different optimization strategies Example configuration: ```json { "config": { "rooms": ["Room A", "Room B"], "labs": ["Lab 1"], "courses": [ { "course_id": "CS101", "credits": 3, "room": ["Room A"], "lab": ["Lab 1"], "conflicts": [], "faculty": ["Dr. Smith"] } ], "faculty": [ { "name": "Dr. Smith", "maximum_credits": 12, "minimum_credits": 6, "unique_course_limit": 3, "times": { "MON": ["09:00-17:00"], "TUE": ["09:00-17:00"], "WED": ["09:00-17:00"], "THU": ["09:00-17:00"], "FRI": ["09:00-17:00"] } } ] }, "time_slot_config": { "times": { "MON": [ { "start": "09:00", "spacing": 60, "end": "17:00" } ] }, "classes": [ { "credits": 3, "meetings": [ { "day": "MON", "duration": 150, "lab": false } ] } ] }, "limit": 10, "optimizer_flags": ["faculty_course", "pack_rooms"] } ``` ## Architecture The scheduler is built with a modular architecture: - **Core Solver**: Z3-based constraint satisfaction engine - **Configuration Management**: Pydantic-based configuration validation with comprehensive error handling - **Model Classes**: Enhanced data structures for courses, faculty, and time slots with improved serialization - **JSON Types**: Comprehensive TypedDict definitions for type-safe JSON handling - **Output Writers**: JSON and CSV output formatters with context manager support - **REST Server**: FastAPI-based HTTP API with asynchronous processing and session management - **Session Management**: Persistent session handling for large problems with background task support ## Performance - **Small Problems** (< 10 courses): Near-instantaneous solving - **Medium Problems** (10-50 courses): Seconds to minutes - **Large Problems** (50+ courses): May take several minutes - **Optimization**: Use appropriate optimizer flags to reduce solving time ## Development ### Setup ```bash # Clone the repository git clone <repository-url> cd course-constraint-scheduler # Install development dependencies pip install -e ".[dev]" # Run tests pytest # Run linting ruff check src/ ``` ### Project Structure ``` src/scheduler/ β”œβ”€β”€ __init__.py # Main package exports with all types β”œβ”€β”€ config.py # Configuration models with strict validation and type definitions β”œβ”€β”€ json_types.py # TypedDict definitions for JSON structures β”œβ”€β”€ logging.py # Logging setup β”œβ”€β”€ main.py # Command-line interface β”œβ”€β”€ scheduler.py # Core scheduling logic with Z3 integration β”œβ”€β”€ server.py # REST API server with session management β”œβ”€β”€ time_slot_generator.py # Utility for generating valid time slots β”œβ”€β”€ models/ # Enhanced data models β”‚ β”œβ”€β”€ __init__.py # Model exports β”‚ β”œβ”€β”€ course.py # Course and instance models with computed fields β”‚ β”œβ”€β”€ day.py # Day enumeration (IntEnum) β”‚ β”œβ”€β”€ time_slot.py # Time-related models with comprehensive methods β”‚ └── identifiable.py # Base identifiable class └── writers/ # Output formatters β”œβ”€β”€ __init__.py # Writer exports β”œβ”€β”€ csv_writer.py # CSV output with context manager support └── json_writer.py # JSON output with context manager support ``` ## Contributing 1. Fork the repository 2. Create a feature branch 3. Make your changes 4. Add tests for new functionality 5. Ensure all tests pass 6. Submit a pull request ## License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. ## Support For questions, issues, or feature requests: - Check the documentation - Review existing issues - Create a new issue with detailed information - Include configuration examples and error messages ## Recent Updates ### Enhanced Configuration Validation - Comprehensive cross-reference validation ensures all IDs exist - Business logic validation prevents impossible constraints - Detailed error messages for easier debugging - Support for preference scores (0-10) with improved validation ### Improved Type Safety - New `json_types.py` module with comprehensive TypedDict definitions - Type-safe JSON handling throughout the application - Enhanced serialization with computed fields - Better integration with modern Python type checking ### Enhanced REST API - Improved session management with background task support - Better error handling and status codes - Enhanced command-line options for server configuration - Comprehensive API documentation with examples ### Model Improvements - Enhanced Course and TimeSlot models with better methods - Improved serialization with computed fields - Better time handling with IntEnum for days - Context manager support for writers ## Roadmap - [ ] Web-based configuration interface - [ ] Schedule visualization tools - [ ] Multi-objective optimization support
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uv/0.8.4
2025-09-14 02:57:50.154182 UTC
course_constraint_scheduler-2.2.2.post0.tar.gz
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twine/6.2.0 CPython/3.12.9
2025-09-14 02:58:28.860081 UTC
sekaibot_adapter_cqhttp-0.1.0-py3-none-any.whl
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twine/6.2.0 CPython/3.12.9
2025-09-14 02:58:34.972416 UTC
sekaibot_adapter_onebot-0.1.0-py3-none-any.whl
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twine/6.2.0 CPython/3.12.9
2025-09-14 02:58:36.23926 UTC
sekaibot_plugin_apscheduler-0.1.0-py3-none-any.whl
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2025-09-14 02:58:37.891504 UTC
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2025-09-14 02:58:38.978503 UTC
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APScheduler plugin for SekaiBot.
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leetcode-py-sdk
0.20.0
Modern Python LeetCode practice environment with automated problem generation, beautiful data structure visualizations, and comprehensive testing
# LeetCode Practice Repository πŸš€ [![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=wisarootl_leetcode-py&metric=alert_status)](https://sonarcloud.io/summary/new_code?id=wisarootl_leetcode-py) [![Security Rating](https://sonarcloud.io/api/project_badges/measure?project=wisarootl_leetcode-py&metric=security_rating)](https://sonarcloud.io/summary/new_code?id=wisarootl_leetcode-py) [![Vulnerabilities](https://sonarcloud.io/api/project_badges/measure?project=wisarootl_leetcode-py&metric=vulnerabilities)](https://sonarcloud.io/summary/new_code?id=wisarootl_leetcode-py) [![codecov](https://codecov.io/gh/wisarootl/leetcode-py/graph/badge.svg?token=TI97VUIA4Z)](https://codecov.io/gh/wisarootl/leetcode-py) [![tests](https://img.shields.io/github/actions/workflow/status/wisarootl/leetcode-py/ci-test.yml?branch=main&label=tests&logo=github)](https://github.com/wisarootl/zerv/actions/workflows/ci-test.yml) [![release](https://img.shields.io/github/actions/workflow/status/wisarootl/leetcode-py/cd.yml?branch=main&label=release&logo=github)](https://github.com/wisarootl/zerv/actions/workflows/cd.yml) A modern Python LeetCode practice environment that goes beyond basic problem solving. Features automated problem generation from LeetCode URLs, beautiful data structure visualizations (TreeNode, ListNode, GraphNode), and comprehensive testing with 12+ test cases per problem. Built with professional development practices including CI/CD, type hints, and quality gates. **What makes this different:** - πŸ€– **LLM-Assisted Workflow**: Generate new problems instantly with AI assistance - 🎨 **Visual Debugging**: Interactive tree/graph rendering with Graphviz and anytree - πŸ§ͺ **Production Testing**: Comprehensive test suites with edge cases and reproducibility verification - πŸš€ **Modern Python**: PEP 585/604 type hints, Poetry, and professional tooling - πŸ“Š **Quality Assurance**: 95%+ test coverage, security scanning, automated linting ## 🎯 What's Included **Current**: All 75 problems from [Grind 75](https://www.techinterviewhandbook.org/grind75/) - the most essential coding interview questions curated by the creator of Blind 75. **Future**: Planned expansion to all 169 Grind problems for comprehensive interview preparation. ## πŸš€ Quick Start ```bash # Clone and setup git clone https://github.com/wisarootl/leetcode-py.git cd leetcode-py poetry install # Start with existing Grind 75 problems make gen-all-problems # Regenerates all problems with TODO placeholders # Practice a specific problem make p-test PROBLEM=two_sum # Edit leetcode/two_sum/solution.py, then rerun tests # Run all tests make test ``` ## πŸ“‹ Prerequisites - Python 3.13+ - Poetry, Make, Git, Graphviz ## πŸ“ Problem Structure Each problem follows a consistent, production-ready template: ``` leetcode/two_sum/ β”œβ”€β”€ README.md # Problem description with examples and constraints β”œβ”€β”€ solution.py # Implementation with type hints and TODO placeholder β”œβ”€β”€ test_solution.py # Comprehensive parametrized tests (12+ test cases) β”œβ”€β”€ helpers.py # Test helper functions β”œβ”€β”€ playground.py # Interactive debugging environment (converted from .ipynb) └── __init__.py # Package marker ``` ## ✨ Key Features ### Production-Grade Development Environment - **Modern Python**: PEP 585/604 type hints, snake_case conventions - **Comprehensive Linting**: black, isort, ruff, mypy with nbqa for notebooks - **High Test Coverage**: 12+ test cases per problem including edge cases - **Beautiful Logging**: loguru integration for enhanced test debugging - **CI/CD Pipeline**: Automated testing, security scanning, and quality gates ### Enhanced Data Structure Visualization - **TreeNode**: Beautiful tree rendering with anytree and Graphviz - **ListNode**: Clean arrow-based visualization (`1 -> 2 -> 3`) - **Interactive Debugging**: Multi-cell playground environment ![Tree Visualization Placeholder](docs/images/tree-viz.png) _Beautiful tree rendering with anytree and Graphviz_ ![LinkedList Visualization Placeholder](docs/images/linkedlist-viz.png) _Clean arrow-based list visualization_ ### Flexible Notebook Support - **Template Generation**: Creates Jupyter notebooks (`.ipynb`) by default - **Repository State**: This repo uses Python files (`.py`) for better version control - **User Choice**: Use `make nb-to-py` to convert notebooks to Python files, or keep as `.ipynb` for interactive development ![Notebook Placeholder](docs/images/notebook-example.png) _Interactive multi-cell playground for each problem_ ## πŸ”„ Usage Patterns ### For Current Grind 75 Problems Perfect if you want to focus on the most essential interview problems: ```bash # Regenerate all 75 problems with fresh TODO placeholders make gen-all-problems # Work through problems systematically make p-test PROBLEM=two_sum make p-test PROBLEM=valid_palindrome make p-test PROBLEM=merge_two_sorted_lists ``` ### For Additional Problems (LLM-Assisted) If you need more problems beyond Grind 75, use an LLM assistant in your IDE (Cursor, GitHub Copilot Chat, Amazon Q, etc.): ```bash # Example commands to give your LLM assistant: "Create LeetCode problem 146 (LRU Cache)" "Add problem 'Word Ladder' by number 127" "Generate problem 'Serialize and Deserialize Binary Tree'" # For test enhancement (when you need more comprehensive test coverage): "Enhance test cases for two_sum problem" "Fix test reproducibility for binary_tree_inorder_traversal" ``` **Required LLM Context**: Include these rule files in your LLM context for automated problem generation and test enhancement: - [`.amazonq/rules/problem-creation.md`](.amazonq/rules/problem-creation.md) - Complete problem generation workflow - [`.amazonq/rules/test-case-enhancement.md`](.amazonq/rules/test-case-enhancement.md) - Test enhancement and reproducibility verification **Manual Check**: Find problems needing more test cases: ```bash poetry run python .templates/check_test_cases.py --threshold=10 ``` ## 🧰 Helper Classes - **TreeNode**: `from leetcode_py import TreeNode` - Array ↔ tree conversion: `TreeNode.from_list([1,2,3])`, `tree.to_list()` - Beautiful anytree text rendering and Graphviz SVG for Jupyter - Node search: `tree.find_node(value)` - Generic type support: `TreeNode[int]`, `TreeNode[str]` - **ListNode**: `from leetcode_py import ListNode` - Array ↔ list conversion: `ListNode.from_list([1,2,3])`, `node.to_list()` - Cycle detection with Floyd's algorithm - Graphviz visualization for Jupyter notebooks - Generic type support: `ListNode[int]`, `ListNode[str]` - **GraphNode**: `from leetcode_py import GraphNode` - Adjacency list conversion: `GraphNode.from_adjacency_list([[2,4],[1,3],[2,4],[1,3]])` - Clone detection: `original.is_clone(cloned)` - Graphviz visualization for undirected graphs - DFS traversal utilities - **DictTree**: `from leetcode_py.data_structures import DictTree` - Perfect for Trie implementations: `DictTree[str]()` - Beautiful tree rendering with box-drawing characters - Graphviz visualization for Jupyter notebooks - Generic key type support ## πŸ› οΈ Development Commands ```bash # Problem-specific operations make p-test PROBLEM=problem_name # Test specific problem make p-gen PROBLEM=problem_name # Generate problem from JSON template make p-lint PROBLEM=problem_name # Lint specific problem # Bulk operations make test # Run all tests make lint # Lint entire codebase make gen-all-problems # Regenerate all problems (destructive) ``` ## πŸ—οΈ Architecture - **Template-Driven**: JSON templates in `.templates/leetcode/json/` drive code generation - **Cookiecutter Integration**: Uses `.templates/leetcode/{{cookiecutter.problem_name}}/` template for consistent file structure - **Automated Scraping**: LLM-assisted problem data extraction from LeetCode - **Version Control Friendly**: Python files by default, optional notebook support ## πŸ“Š Quality Metrics - **Test Coverage**: 95%+ with comprehensive edge case testing (Codecov integration) - **Security**: SonarCloud quality gates, Trivy dependency scanning, Gitleaks secret detection - **Code Quality**: Automated linting with black, isort, ruff, mypy - **Test Reproducibility**: Automated verification that problems can be regenerated consistently - **CI/CD**: GitHub Actions for testing, security, pre-commit hooks, and release automation Perfect for systematic coding interview preparation with professional development practices and enhanced debugging capabilities.
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[ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Education", "License :: OSI Approved :: Apache Software License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.13", "Topic :: Education", "Topic :: Software Development :: Libraries :: Python Modules" ]
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twine/5.1.1 CPython/3.12.7
2025-09-14 02:58:54.184955 UTC
leetcode_py_sdk-0.20.0-py3-none-any.whl
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A cross-platform, asynchronous, and progressive Python bot development framework
<p align="center"> <a href=""><img src="https://raw.githubusercontent.com/sekaibot-dev/sekaibot/main/docs/public/logo.png" width="250" height="250" alt="sekaibot"></a> </p> <div align="center"> <img src="https://raw.githubusercontent.com/sekaibot-dev/sekaibot/main/docs/public/name.png" width="140" alt="sekaibot"> _-θ·¨εΉ³ε°ηš„ Python εΌ‚ζ­₯ζΈθΏ›εΌζœΊε™¨δΊΊεΌ€ε‘ζ‘†ζžΆ-_ </div> <div align="center"> <a href="https://raw.githubusercontent.com/AliceBotProject/alicebot/master/LICENSE"> <img src="https://img.shields.io/github/license/AliceBotProject/alicebot" alt="license"> </a> <a href="https://pypi.python.org/pypi/alicebot"> <img src="https://img.shields.io/python/required-version-toml?tomlFilePath=https%3A%2F%2Fgithub.com%2FAliceBotProject%2Falicebot%2Fraw%2Fmaster%2Fpyproject.toml" alt="pypi"> </a> <a href="https://pypi.python.org/pypi/alicebot"> <img src="https://img.shields.io/pypi/v/alicebot" alt="pypi"> </a> <a href="https://github.com/sekaibot-dev/sekaibot/"> <img src="https://img.shields.io/github/stars/sekaibot-dev/sekaibot?style=social" alt="github"> </a> <br /> <a href="https://github.com/psf/black"> <img src="https://img.shields.io/badge/code%20style-black-000000.svg" alt="black"> </a> <a href="https://github.com/astral-sh/ruff"> <img src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json" alt="ruff"> </a> <a href="https://github.com/pylint-dev/pylint"> <img src="https://img.shields.io/badge/linting-pylint-blue" alt="pylint"> </a> <a href="https://github.com/Microsoft/pyright"> <img src="https://img.shields.io/badge/type%20checker-pyright-yellowgreen" alt="pyright"> </a> <a href="https://github.com/python/mypy"> <img src="https://img.shields.io/badge/type%20checker-mypy-blue" alt="mypy"> </a> <br /> <a href="https://codecov.io/gh/AliceBotProject/alicebot"> <img src="https://codecov.io/gh/AliceBotProject/alicebot/graph/badge.svg?token=3H6ZU6NN0J" alt="codecov"> </a> <a href="https://github.com/AliceBotProject/alicebot/actions/workflows/test.yml"> <img src="https://github.com/AliceBotProject/alicebot/actions/workflows/test.yml/badge.svg?branch=master&event=push" alt="github"> </a> <a href="https://github.com/AliceBotProject/alicebot/actions/workflows/lint.yml"> <img src="https://github.com/AliceBotProject/alicebot/actions/workflows/lint.yml/badge.svg?branch=master&event=push" alt="github"> </a> <a href="https://github.com/AliceBotProject/alicebot/actions/workflows/docs.yml"> <img src="https://github.com/AliceBotProject/alicebot/actions/workflows/docs.yml/badge.svg?branch=master&event=push" alt="github"> </a> <br /> <a href="https://jq.qq.com/?_wv=1027&k=ZbE3p6tq"> <img src="https://img.shields.io/badge/QQ%E7%BE%A4-834922207-orange" alt="qq-group"> </a> </div>
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twine/6.2.0 CPython/3.12.9
2025-09-14 02:58:55.549202 UTC
sekaibot-0.1.0-py3-none-any.whl
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leetcode-py-sdk
0.20.0
Modern Python LeetCode practice environment with automated problem generation, beautiful data structure visualizations, and comprehensive testing
# LeetCode Practice Repository πŸš€ [![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=wisarootl_leetcode-py&metric=alert_status)](https://sonarcloud.io/summary/new_code?id=wisarootl_leetcode-py) [![Security Rating](https://sonarcloud.io/api/project_badges/measure?project=wisarootl_leetcode-py&metric=security_rating)](https://sonarcloud.io/summary/new_code?id=wisarootl_leetcode-py) [![Vulnerabilities](https://sonarcloud.io/api/project_badges/measure?project=wisarootl_leetcode-py&metric=vulnerabilities)](https://sonarcloud.io/summary/new_code?id=wisarootl_leetcode-py) [![codecov](https://codecov.io/gh/wisarootl/leetcode-py/graph/badge.svg?token=TI97VUIA4Z)](https://codecov.io/gh/wisarootl/leetcode-py) [![tests](https://img.shields.io/github/actions/workflow/status/wisarootl/leetcode-py/ci-test.yml?branch=main&label=tests&logo=github)](https://github.com/wisarootl/zerv/actions/workflows/ci-test.yml) [![release](https://img.shields.io/github/actions/workflow/status/wisarootl/leetcode-py/cd.yml?branch=main&label=release&logo=github)](https://github.com/wisarootl/zerv/actions/workflows/cd.yml) A modern Python LeetCode practice environment that goes beyond basic problem solving. Features automated problem generation from LeetCode URLs, beautiful data structure visualizations (TreeNode, ListNode, GraphNode), and comprehensive testing with 12+ test cases per problem. Built with professional development practices including CI/CD, type hints, and quality gates. **What makes this different:** - πŸ€– **LLM-Assisted Workflow**: Generate new problems instantly with AI assistance - 🎨 **Visual Debugging**: Interactive tree/graph rendering with Graphviz and anytree - πŸ§ͺ **Production Testing**: Comprehensive test suites with edge cases and reproducibility verification - πŸš€ **Modern Python**: PEP 585/604 type hints, Poetry, and professional tooling - πŸ“Š **Quality Assurance**: 95%+ test coverage, security scanning, automated linting ## 🎯 What's Included **Current**: All 75 problems from [Grind 75](https://www.techinterviewhandbook.org/grind75/) - the most essential coding interview questions curated by the creator of Blind 75. **Future**: Planned expansion to all 169 Grind problems for comprehensive interview preparation. ## πŸš€ Quick Start ```bash # Clone and setup git clone https://github.com/wisarootl/leetcode-py.git cd leetcode-py poetry install # Start with existing Grind 75 problems make gen-all-problems # Regenerates all problems with TODO placeholders # Practice a specific problem make p-test PROBLEM=two_sum # Edit leetcode/two_sum/solution.py, then rerun tests # Run all tests make test ``` ## πŸ“‹ Prerequisites - Python 3.13+ - Poetry, Make, Git, Graphviz ## πŸ“ Problem Structure Each problem follows a consistent, production-ready template: ``` leetcode/two_sum/ β”œβ”€β”€ README.md # Problem description with examples and constraints β”œβ”€β”€ solution.py # Implementation with type hints and TODO placeholder β”œβ”€β”€ test_solution.py # Comprehensive parametrized tests (12+ test cases) β”œβ”€β”€ helpers.py # Test helper functions β”œβ”€β”€ playground.py # Interactive debugging environment (converted from .ipynb) └── __init__.py # Package marker ``` ## ✨ Key Features ### Production-Grade Development Environment - **Modern Python**: PEP 585/604 type hints, snake_case conventions - **Comprehensive Linting**: black, isort, ruff, mypy with nbqa for notebooks - **High Test Coverage**: 12+ test cases per problem including edge cases - **Beautiful Logging**: loguru integration for enhanced test debugging - **CI/CD Pipeline**: Automated testing, security scanning, and quality gates ### Enhanced Data Structure Visualization - **TreeNode**: Beautiful tree rendering with anytree and Graphviz - **ListNode**: Clean arrow-based visualization (`1 -> 2 -> 3`) - **Interactive Debugging**: Multi-cell playground environment ![Tree Visualization Placeholder](docs/images/tree-viz.png) _Beautiful tree rendering with anytree and Graphviz_ ![LinkedList Visualization Placeholder](docs/images/linkedlist-viz.png) _Clean arrow-based list visualization_ ### Flexible Notebook Support - **Template Generation**: Creates Jupyter notebooks (`.ipynb`) by default - **Repository State**: This repo uses Python files (`.py`) for better version control - **User Choice**: Use `make nb-to-py` to convert notebooks to Python files, or keep as `.ipynb` for interactive development ![Notebook Placeholder](docs/images/notebook-example.png) _Interactive multi-cell playground for each problem_ ## πŸ”„ Usage Patterns ### For Current Grind 75 Problems Perfect if you want to focus on the most essential interview problems: ```bash # Regenerate all 75 problems with fresh TODO placeholders make gen-all-problems # Work through problems systematically make p-test PROBLEM=two_sum make p-test PROBLEM=valid_palindrome make p-test PROBLEM=merge_two_sorted_lists ``` ### For Additional Problems (LLM-Assisted) If you need more problems beyond Grind 75, use an LLM assistant in your IDE (Cursor, GitHub Copilot Chat, Amazon Q, etc.): ```bash # Example commands to give your LLM assistant: "Create LeetCode problem 146 (LRU Cache)" "Add problem 'Word Ladder' by number 127" "Generate problem 'Serialize and Deserialize Binary Tree'" # For test enhancement (when you need more comprehensive test coverage): "Enhance test cases for two_sum problem" "Fix test reproducibility for binary_tree_inorder_traversal" ``` **Required LLM Context**: Include these rule files in your LLM context for automated problem generation and test enhancement: - [`.amazonq/rules/problem-creation.md`](.amazonq/rules/problem-creation.md) - Complete problem generation workflow - [`.amazonq/rules/test-case-enhancement.md`](.amazonq/rules/test-case-enhancement.md) - Test enhancement and reproducibility verification **Manual Check**: Find problems needing more test cases: ```bash poetry run python .templates/check_test_cases.py --threshold=10 ``` ## 🧰 Helper Classes - **TreeNode**: `from leetcode_py import TreeNode` - Array ↔ tree conversion: `TreeNode.from_list([1,2,3])`, `tree.to_list()` - Beautiful anytree text rendering and Graphviz SVG for Jupyter - Node search: `tree.find_node(value)` - Generic type support: `TreeNode[int]`, `TreeNode[str]` - **ListNode**: `from leetcode_py import ListNode` - Array ↔ list conversion: `ListNode.from_list([1,2,3])`, `node.to_list()` - Cycle detection with Floyd's algorithm - Graphviz visualization for Jupyter notebooks - Generic type support: `ListNode[int]`, `ListNode[str]` - **GraphNode**: `from leetcode_py import GraphNode` - Adjacency list conversion: `GraphNode.from_adjacency_list([[2,4],[1,3],[2,4],[1,3]])` - Clone detection: `original.is_clone(cloned)` - Graphviz visualization for undirected graphs - DFS traversal utilities - **DictTree**: `from leetcode_py.data_structures import DictTree` - Perfect for Trie implementations: `DictTree[str]()` - Beautiful tree rendering with box-drawing characters - Graphviz visualization for Jupyter notebooks - Generic key type support ## πŸ› οΈ Development Commands ```bash # Problem-specific operations make p-test PROBLEM=problem_name # Test specific problem make p-gen PROBLEM=problem_name # Generate problem from JSON template make p-lint PROBLEM=problem_name # Lint specific problem # Bulk operations make test # Run all tests make lint # Lint entire codebase make gen-all-problems # Regenerate all problems (destructive) ``` ## πŸ—οΈ Architecture - **Template-Driven**: JSON templates in `.templates/leetcode/json/` drive code generation - **Cookiecutter Integration**: Uses `.templates/leetcode/{{cookiecutter.problem_name}}/` template for consistent file structure - **Automated Scraping**: LLM-assisted problem data extraction from LeetCode - **Version Control Friendly**: Python files by default, optional notebook support ## πŸ“Š Quality Metrics - **Test Coverage**: 95%+ with comprehensive edge case testing (Codecov integration) - **Security**: SonarCloud quality gates, Trivy dependency scanning, Gitleaks secret detection - **Code Quality**: Automated linting with black, isort, ruff, mypy - **Test Reproducibility**: Automated verification that problems can be regenerated consistently - **CI/CD**: GitHub Actions for testing, security, pre-commit hooks, and release automation Perfect for systematic coding interview preparation with professional development practices and enhanced debugging capabilities.
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[ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Intended Audience :: Education", "License :: OSI Approved :: Apache Software License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.13", "Topic :: Education", "Topic :: Software Development :: Libraries :: Python Modules" ]
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twine/5.1.1 CPython/3.12.7
2025-09-14 02:58:55.570106 UTC
leetcode_py_sdk-0.20.0.tar.gz
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1a64aed2550f268214b396c8c56097b41daa2de5e15cc9d02e6dc5b56c4229d7
[]
<4.0,>=3.13
null
2.4
sekaibot
0.1.0
A cross-platform, asynchronous, and progressive Python bot development framework
<p align="center"> <a href=""><img src="https://raw.githubusercontent.com/sekaibot-dev/sekaibot/main/docs/public/logo.png" width="250" height="250" alt="sekaibot"></a> </p> <div align="center"> <img src="https://raw.githubusercontent.com/sekaibot-dev/sekaibot/main/docs/public/name.png" width="140" alt="sekaibot"> _-θ·¨εΉ³ε°ηš„ Python εΌ‚ζ­₯ζΈθΏ›εΌζœΊε™¨δΊΊεΌ€ε‘ζ‘†ζžΆ-_ </div> <div align="center"> <a href="https://raw.githubusercontent.com/AliceBotProject/alicebot/master/LICENSE"> <img src="https://img.shields.io/github/license/AliceBotProject/alicebot" alt="license"> </a> <a href="https://pypi.python.org/pypi/alicebot"> <img src="https://img.shields.io/python/required-version-toml?tomlFilePath=https%3A%2F%2Fgithub.com%2FAliceBotProject%2Falicebot%2Fraw%2Fmaster%2Fpyproject.toml" alt="pypi"> </a> <a href="https://pypi.python.org/pypi/alicebot"> <img src="https://img.shields.io/pypi/v/alicebot" alt="pypi"> </a> <a href="https://github.com/sekaibot-dev/sekaibot/"> <img src="https://img.shields.io/github/stars/sekaibot-dev/sekaibot?style=social" alt="github"> </a> <br /> <a href="https://github.com/psf/black"> <img src="https://img.shields.io/badge/code%20style-black-000000.svg" alt="black"> </a> <a href="https://github.com/astral-sh/ruff"> <img src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json" alt="ruff"> </a> <a href="https://github.com/pylint-dev/pylint"> <img src="https://img.shields.io/badge/linting-pylint-blue" alt="pylint"> </a> <a href="https://github.com/Microsoft/pyright"> <img src="https://img.shields.io/badge/type%20checker-pyright-yellowgreen" alt="pyright"> </a> <a href="https://github.com/python/mypy"> <img src="https://img.shields.io/badge/type%20checker-mypy-blue" alt="mypy"> </a> <br /> <a href="https://codecov.io/gh/AliceBotProject/alicebot"> <img src="https://codecov.io/gh/AliceBotProject/alicebot/graph/badge.svg?token=3H6ZU6NN0J" alt="codecov"> </a> <a href="https://github.com/AliceBotProject/alicebot/actions/workflows/test.yml"> <img src="https://github.com/AliceBotProject/alicebot/actions/workflows/test.yml/badge.svg?branch=master&event=push" alt="github"> </a> <a href="https://github.com/AliceBotProject/alicebot/actions/workflows/lint.yml"> <img src="https://github.com/AliceBotProject/alicebot/actions/workflows/lint.yml/badge.svg?branch=master&event=push" alt="github"> </a> <a href="https://github.com/AliceBotProject/alicebot/actions/workflows/docs.yml"> <img src="https://github.com/AliceBotProject/alicebot/actions/workflows/docs.yml/badge.svg?branch=master&event=push" alt="github"> </a> <br /> <a href="https://jq.qq.com/?_wv=1027&k=ZbE3p6tq"> <img src="https://img.shields.io/badge/QQ%E7%BE%A4-834922207-orange" alt="qq-group"> </a> </div>
text/markdown
null
null
null
null
[ "Development Status :: 3 - Alpha", "Framework :: AsyncIO", "Framework :: Robot Framework", "Framework :: Robot Framework :: Library", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Topic :: Communications :: Chat" ]
[]
null
null
[]
[]
[]
[ "aiohttp==3.11.13", "anyio==4.9.0", "exceptiongroup==1.2.2", "pyahocorasick==2.1.0", "pydantic==2.11.3", "pygtrie==2.5.0", "pypinyin==0.54.0", "pyyaml==6.0.2", "structlog==25.3.0", "typing-extensions==4.13.2", "pyahocorasick>=2.1.0; extra == \"all\"", "pypinyin>=0.54.0; extra == \"all\"", "sekaibot-adapter-cqhttp; extra == \"all\"", "sekaibot-adapter-onebot; extra == \"all\"", "sekaibot-plugin-apscheduler; extra == \"all\"", "watchfiles>=0.24; extra == \"all\"", "sekaibot-plugin-apscheduler; extra == \"apscheduler\"", "sekaibot-adapter-cqhttp; extra == \"cqhttp\"", "watchfiles>=0.24; extra == \"hot-reload\"", "sekaibot-adapter-onebot; extra == \"onebot\"", "pyahocorasick>=2.1.0; extra == \"word-fliter\"", "pypinyin>=0.54.0; extra == \"word-fliter\"" ]
[]
[]
[]
[ "Repository, https://github.com/sekaibot-dev/sekaibot" ]
twine/6.2.0 CPython/3.12.9
2025-09-14 02:58:57.534876 UTC
sekaibot-0.1.0.tar.gz
57936
96/21/a1ddc152aa470e6dd524d4cb57f56abf1f798a8b3a382de0479f7c39072f/sekaibot-0.1.0.tar.gz
source
sdist
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9621a1ddc152aa470e6dd524d4cb57f56abf1f798a8b3a382de0479f7c39072f
[ "LICENSE" ]
<4,>=3.11
null
2.1
pkbrokers
0.1.20250914.18
A Python-based stock broker module
A simple python library to connect to various brokers using standard user credentials, fetch the instruments (trading symbols), indices and their ticks during as well as off market hours. [![codecov][codecov-badge]][codecov] [codecov-badge]: https://codecov.io/gh/pkjmesra/PKBrokers/branch/main/graph/badge.svg [codecov]: https://codecov.io/gh/pkjmesra/PKBrokers ![Title](https://raw.githubusercontent.com/pkjmesra/pkbrokers/main/screenshots/logos/Logo8_1.png) # pkbrokers (# 1 Stock screener/scanner for NSE India) | [![MADE-IN-INDIA][MADE-IN-INDIA-badge]][MADE-IN-INDIA] | [![GitHub release (latest by date)][GitHub release (latest by date)-badge]][GitHub release (latest by date)] | [![Downloads][Downloads-badge]][Downloads] | ![latest download][Latest-Downloads-badge] | [![Docker Pulls][Docker Pulls-badge]][Docker Status] | | :-------------: | :-----------------: | :-----------------: | :-----------------: | :-----------------: | | Platforms | [![Windows][Windows-badge]][Windows] | [![Linux(x64)][Linux-badge_x64]][Linux_x64] [![Linux(arm64)][Linux-badge_arm64]][Linux_arm64] | [![Mac OS(x64)][Mac OS-badge_x64]][Mac OS_x64] [![Mac OS(arm64)][Mac OS-badge_arm64]][Mac OS_arm64] | [![Docker Status][Docker Status-badge]][Docker Status] | | Package / Docs | [![Documentation][Documentation-badge]][Documentation] [![OpenSSF Best Practices][OpenSSF-Badge]][OpenSSF-pkbrokers] | [![PyPI][pypi-badge]][pypi] | [![is wheel][wheel-badge]][pypi] | ![github license][github-license] | | Tests/Code-Quality | [![CodeFactor][Codefactor-badge]][Codefactor] | <a href="https://coveralls.io/github/pkjmesra/pkbrokers?branch=main"><img src="https://coveralls.io/repos/github/pkjmesra/pkbrokers/badge.svg?branch=main"></a> | [![codecov][codecov-badge]][codecov] | [![After Market][After Market-badge]][After Market] | [![Star History Chart](https://api.star-history.com/svg?repos=pkjmesra/pkbrokers&type=Date)](https://star-history.com/#pkjmesra/pkbrokers&Date) [MADE-IN-INDIA-badge]: https://img.shields.io/badge/MADE%20WITH%20%E2%9D%A4%20IN-INDIA-orange [MADE-IN-INDIA]: https://en.wikipedia.org/wiki/India [Windows-badge]: https://img.shields.io/badge/Windows-0078D6?logo=windows&logoColor=white [Windows]: https://github.com/pkjmesra/pkbrokers/releases/download/0.1.20250913.17/pkkite.exe [Linux-badge_x64]: https://img.shields.io/badge/Linux(x64)-FCC624?logo=linux&logoColor=black [Linux_x64]: https://github.com/pkjmesra/pkbrokers/releases/download/0.1.20250913.17/pkkite_x64.bin [Linux-badge_arm64]: https://img.shields.io/badge/Linux(arm64)-FCC624?logo=linux&logoColor=black [Linux_arm64]: https://github.com/pkjmesra/pkbrokers/releases/download/0.1.20250913.17/pkkite_arm64.bin [Mac OS-badge_x64]: https://img.shields.io/badge/mac%20os(x64)-D3D3D3?logo=apple&logoColor=000000 [Mac OS_x64]: https://github.com/pkjmesra/pkbrokers/releases/download/0.1.20250913.17/pkkite_x64.run [Mac OS-badge_arm64]: https://img.shields.io/badge/mac%20os(arm64)-D3D3D3?logo=apple&logoColor=000000 [Mac OS_arm64]: https://github.com/pkjmesra/pkbrokers/releases/download/0.1.20250913.17/pkkite_arm64.run [GitHub release (latest by date)-badge]: https://img.shields.io/github/v/release/pkjmesra/pkbrokers [GitHub release (latest by date)]: https://github.com/pkjmesra/pkbrokers/releases/latest [pypi-badge]: https://img.shields.io/pypi/v/pkbrokers.svg?style=flat-square [pypi]: https://pypi.python.org/pypi/pkbrokers [wheel-badge]: https://img.shields.io/pypi/wheel/pkbrokers.svg?style=flat-square [GitHub all releases]: https://img.shields.io/github/downloads/pkjmesra/pkbrokers/total?color=Green&label=Downloads&style=for-the-badge [License-badge]: https://img.shields.io/github/license/pkjmesra/pkbrokers?style=for-the-badge [License]: https://github.com/pkjmesra/pkbrokers/blob/main/LICENSE [Codefactor-badge]: https://www.codefactor.io/repository/github/pkjmesra/pkbrokers/badge [Codefactor]: https://www.codefactor.io/repository/github/pkjmesra/pkbrokers [PR-Guidelines-badge]: https://img.shields.io/badge/PULL%20REQUEST-GUIDELINES-red?style=for-the-badge [PR-Guidelines]: https://github.com/pkjmesra/pkbrokers/blob/new-features/CONTRIBUTING.md [github-license]: https://img.shields.io/github/license/pkjmesra/pkbrokers [Downloads-badge]: https://static.pepy.tech/personalized-badge/pkbrokers?period=total&units=international_system&left_color=black&right_color=brightgreen&left_text=Total%20Downloads [Downloads]: https://pepy.tech/project/pkbrokers [Latest-Downloads-badge]: https://img.shields.io/github/downloads-pre/pkjmesra/pkbrokers/latest/total?logo=github [Coverage-Status-badge]: https://coveralls.io/repos/github/pkjmesra/pkbrokers/badge.svg?kill_cache=1 [Coverage-Status]: https://coveralls.io/github/pkjmesra/pkbrokers?branch=main [codecov-badge]: https://codecov.io/gh/pkjmesra/pkbrokers/branch/main/graph/badge.svg [codecov]: https://codecov.io/gh/pkjmesra/pkbrokers [Documentation-badge]: https://readthedocs.org/projects/pkbrokers/badge/?version=latest [Documentation]: https://pkbrokers.readthedocs.io/en/latest/?badge=latest [Docker Status-badge]: https://img.shields.io/docker/automated/pkjmesra/pkbrokers.svg [Docker Status]: https://hub.docker.com/repository/docker/pkjmesra/pkbrokers [Docker Pulls-badge]: https://img.shields.io/docker/pulls/pkjmesra/pkbrokers.svg [Prod Scan Tests-badge]: https://github.com/pkjmesra/pkbrokers/actions/workflows/w5-workflow-prod-scans_Tests.yml/badge.svg [Prod Scan Tests]: https://github.com/pkjmesra/pkbrokers/actions/workflows/w5-workflow-prod-scans_Tests.yml [After Market-badge]: https://github.com/pkjmesra/pkbrokers/actions/workflows/w9-workflow-download-data.yml/badge.svg [After Market]: https://github.com/pkjmesra/pkbrokers/actions/workflows/w9-workflow-download-data.yml [New Features-badge]: https://github.com/pkjmesra/pkbrokers/actions/workflows/w10-workflow-features-test.yml/badge.svg [New Features]: https://github.com/pkjmesra/pkbrokers/actions/workflows/w10-workflow-features-test.yml [New Release-badge]: 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text/markdown
null
null
null
null
[ "License :: OSI Approved :: MIT License", "Operating System :: Microsoft :: Windows", "Operating System :: MacOS", "Operating System :: POSIX :: Linux", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.12" ]
[]
null
null
[]
[]
[]
[ "gitpython", "libsql==0.1.6", "numpy==1.26.4", "pandas==2.2.3", "PKDevTools>=0.13.20250914.305", "PKNSETools>=0.1.20250224.139", "pygithub", "pyotp", "python-telegram-bot[all]<20.0,>=13.4", "pytz", "telethon", "urllib3", "kiteconnect==5.0.1", "websockets<11.0,>=10.4" ]
[]
[]
[]
[]
twine/6.2.0 CPython/3.10.13
2025-09-14 03:00:01.244926 UTC
pkbrokers-0.1.20250914.18-cp310-cp310-macosx_13_0_arm64.whl
114455
89/35/18d2084560219c53139414bf651622f6cf74eaa41b8599bd6a2568755c60/pkbrokers-0.1.20250914.18-cp310-cp310-macosx_13_0_arm64.whl
cp310
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893518d2084560219c53139414bf651622f6cf74eaa41b8599bd6a2568755c60
[]
null
null
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