| Name | ixp-pipeline JSON |
| Version |
0.1.0
JSON |
| download |
| home_page | None |
| Summary | A Python library for building pipelines with ixp_generics |
| upload_time | 2025-01-18 18:03:20 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.12 |
| license | Creative Commons Legal Code CC0 1.0 Universal CREATIVE COMMONS CORPORATION IS NOT A LAW FIRM AND DOES NOT PROVIDE LEGAL SERVICES. DISTRIBUTION OF THIS DOCUMENT DOES NOT CREATE AN ATTORNEY-CLIENT RELATIONSHIP. CREATIVE COMMONS PROVIDES THIS INFORMATION ON AN "AS-IS" BASIS. CREATIVE COMMONS MAKES NO WARRANTIES REGARDING THE USE OF THIS DOCUMENT OR THE INFORMATION OR WORKS PROVIDED HEREUNDER, AND DISCLAIMS LIABILITY FOR DAMAGES RESULTING FROM THE USE OF THIS DOCUMENT OR THE INFORMATION OR WORKS PROVIDED HEREUNDER. Statement of Purpose The laws of most jurisdictions throughout the world automatically confer exclusive Copyright and Related Rights (defined below) upon the creator and subsequent owner(s) (each and all, an "owner") of an original work of authorship and/or a database (each, a "Work"). Certain owners wish to permanently relinquish those rights to a Work for the purpose of contributing to a commons of creative, cultural and scientific works ("Commons") that the public can reliably and without fear of later claims of infringement build upon, modify, incorporate in other works, reuse and redistribute as freely as possible in any form whatsoever and for any purposes, including without limitation commercial purposes. These owners may contribute to the Commons to promote the ideal of a free culture and the further production of creative, cultural and scientific works, or to gain reputation or greater distribution for their Work in part through the use and efforts of others. For these and/or other purposes and motivations, and without any expectation of additional consideration or compensation, the person associating CC0 with a Work (the "Affirmer"), to the extent that he or she is an owner of Copyright and Related Rights in the Work, voluntarily elects to apply CC0 to the Work and publicly distribute the Work under its terms, with knowledge of his or her Copyright and Related Rights in the Work and the meaning and intended legal effect of CC0 on those rights. 1. Copyright and Related Rights. A Work made available under CC0 may be protected by copyright and related or neighboring rights ("Copyright and Related Rights"). Copyright and Related Rights include, but are not limited to, the following: i. the right to reproduce, adapt, distribute, perform, display, communicate, and translate a Work; ii. moral rights retained by the original author(s) and/or performer(s); iii. publicity and privacy rights pertaining to a person's image or likeness depicted in a Work; iv. rights protecting against unfair competition in regards to a Work, subject to the limitations in paragraph 4(a), below; v. rights protecting the extraction, dissemination, use and reuse of data in a Work; vi. database rights (such as those arising under Directive 96/9/EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases, and under any national implementation thereof, including any amended or successor version of such directive); and vii. other similar, equivalent or corresponding rights throughout the world based on applicable law or treaty, and any national implementations thereof. 2. Waiver. To the greatest extent permitted by, but not in contravention of, applicable law, Affirmer hereby overtly, fully, permanently, irrevocably and unconditionally waives, abandons, and surrenders all of Affirmer's Copyright and Related Rights and associated claims and causes of action, whether now known or unknown (including existing as well as future claims and causes of action), in the Work (i) in all territories worldwide, (ii) for the maximum duration provided by applicable law or treaty (including future time extensions), (iii) in any current or future medium and for any number of copies, and (iv) for any purpose whatsoever, including without limitation commercial, advertising or promotional purposes (the "Waiver"). Affirmer makes the Waiver for the benefit of each member of the public at large and to the detriment of Affirmer's heirs and successors, fully intending that such Waiver shall not be subject to revocation, rescission, cancellation, termination, or any other legal or equitable action to disrupt the quiet enjoyment of the Work by the public as contemplated by Affirmer's express Statement of Purpose. 3. Public License Fallback. Should any part of the Waiver for any reason be judged legally invalid or ineffective under applicable law, then the Waiver shall be preserved to the maximum extent permitted taking into account Affirmer's express Statement of Purpose. In addition, to the extent the Waiver is so judged Affirmer hereby grants to each affected person a royalty-free, non transferable, non sublicensable, non exclusive, irrevocable and unconditional license to exercise Affirmer's Copyright and Related Rights in the Work (i) in all territories worldwide, (ii) for the maximum duration provided by applicable law or treaty (including future time extensions), (iii) in any current or future medium and for any number of copies, and (iv) for any purpose whatsoever, including without limitation commercial, advertising or promotional purposes (the "License"). The License shall be deemed effective as of the date CC0 was applied by Affirmer to the Work. Should any part of the License for any reason be judged legally invalid or ineffective under applicable law, such partial invalidity or ineffectiveness shall not invalidate the remainder of the License, and in such case Affirmer hereby affirms that he or she will not (i) exercise any of his or her remaining Copyright and Related Rights in the Work or (ii) assert any associated claims and causes of action with respect to the Work, in either case contrary to Affirmer's express Statement of Purpose. 4. Limitations and Disclaimers. a. No trademark or patent rights held by Affirmer are waived, abandoned, surrendered, licensed or otherwise affected by this document. b. Affirmer offers the Work as-is and makes no representations or warranties of any kind concerning the Work, express, implied, statutory or otherwise, including without limitation warranties of title, merchantability, fitness for a particular purpose, non infringement, or the absence of latent or other defects, accuracy, or the present or absence of errors, whether or not discoverable, all to the greatest extent permissible under applicable law. c. Affirmer disclaims responsibility for clearing rights of other persons that may apply to the Work or any use thereof, including without limitation any person's Copyright and Related Rights in the Work. Further, Affirmer disclaims responsibility for obtaining any necessary consents, permissions or other rights required for any use of the Work. d. Affirmer understands and acknowledges that Creative Commons is not a party to this document and has no duty or obligation with respect to this CC0 or use of the Work. |
| keywords |
pipeline
workflow
generics
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
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# Pipeline Framework Documentation
## Overview
This framework provides a modular and extensible pipeline structure for transforming data through a series of stages. Each stage is responsible for producing, transforming, and consuming data as needed. The framework includes base classes for pipelines and stages, along with contextual processing capabilities.
---
## Modules
### **PipelineStage**
A generic class representing a single stage in the pipeline. This class provides flexibility to define various types of stages such as producing data, transforming data, or consuming data, and can be used in isolation or as part of a larger pipeline.
#### Attributes:
- **produce**: A callable that produces an iterable of results. If `produce` is not specified, this step is skipped.
- **transform**: A callable that accepts an input of type `TStageInput` and returns an iterable of `TStageResult`. This is typically used to apply a transformation to the input data.
- **consume**: A callable that processes each result produced or transformed by the stage. If specified, `consume` is applied to all results in the stage.
#### Methods:
- **run(input: TStageInput)**: Executes the stage by:
1. Calling `produce` (if defined) to generate initial results.
2. Applying the `transform` function to the input data.
3. Combining the results of `produce` and `transform`. The `produce` values will precede the `transform` values.
4. Optionally passing the combined results to the `consume` function.
Returns an iterable of results.
- **__call__(input: TStageInput)**: A shorthand for invoking the `run` method, enabling the stage to be used like a function.
#### Key Behaviors:
- If both `produce` and `transform` are defined, their results are combined.
- If neither `produce` nor `transform` is defined, the input is returned as the result.
- The `consume` function is applied to all results but does not alter the returned output.
#### Example:
```python
# Define a stage that produces static values and applies a transformation
stage = PipelineStage(
produce=lambda: [1, 2, 3],
transform=lambda x: [x * 2],
consume=lambda r: print(f"Consumed: {r}")
)
output = stage(5) # Produces: [1, 2, 3], Transforms: [10], Output: [1, 2, 3, 10]
# Output to consume: Consumed: 1, Consumed: 2, Consumed: 3, Consumed: 10
```
#### Use Cases:
- **Data Generation**: Use `produce` to create an initial dataset, e.g., reading files or fetching data from an API.
- **Data Transformation**: Apply `transform` to modify or filter the input data.
- **Data Consumption**: Use `consume` for side effects such as logging, storing results, or triggering downstream actions.
---
### **IdentityStage**
A subclass of `PipelineStage` that passes input through without modification.
#### Attributes:
- **transform**: Defaults to a lambda function that returns the input as an iterable.
#### Example:
```python
identity = IdentityStage()
output = identity(5) # Output: [5]
```
---
### **Pipeline**
A sequence of stages that progressively transforms input data.
#### Attributes:
- **stages**: A list of `PipelineStage` instances.
#### Methods:
- **__init__(stages: Iterable[PipelineStage])**: Validates and initializes the pipeline stages.
- **run(input: TPipelineInput)**: Executes the pipeline, passing data through each stage.
- **__call__(input: TPipelineInput)**: Alias for `run`.
#### Key Behaviors:
- Ensures type compatibility between stages during initialization.
- Processes input iteratively through all stages, allowing intermediate results to flow to subsequent stages.
- Returns a flattened list of results after processing through all stages.
#### Example:
```python
pipeline = Pipeline(stages=[IdentityStage()])
output = pipeline.run(5) # Output: [5]
```
---
### **ContextualPipelineStage**
An abstract base class for a pipeline stage that operates within a specific context. This is particularly useful for scenarios where stages need access to shared state or resources.
#### Attributes:
- **stage**: The `PipelineStage` to execute.
- **stage_index**: The index of the stage in the pipeline.
- **stage_count**: The total number of stages in the pipeline.
#### Methods:
- **generate_inputs(context: TPipelineContext)**: Abstract method to generate inputs from the context. Subclasses must implement this to define how input data is sourced.
- **process_output(context: TPipelineContext, result: Any, result_index: int, result_count: int)**: Abstract method to process outputs within the context. Subclasses must implement this to define how results are handled or stored.
- **run(context: TPipelineContext)**: Executes the stage within the given context by sourcing inputs, processing them through the stage, and handling outputs.
- **__call__(context: TPipelineContext)**: Alias for `run`.
#### Key Behaviors:
- Orchestrates the interaction between the stage and the shared context.
- Supports fine-grained control over how inputs are sourced and outputs are processed.
#### Example:
```python
class CustomContextualStage(ContextualPipelineStage):
def generate_inputs(self, context):
return context['data']
def process_output(self, context, result, result_index, result_count):
context['results'].append(result)
```
---
### **ContextualPipeline**
An abstract base class for pipelines that operate within a specific context. Designed for use cases where shared state or resources must be managed across multiple stages.
#### Attributes:
- **pipeline**: The `Pipeline` instance to execute.
- **context**: The context object shared across the pipeline stages.
#### Methods:
- **lift(stage: PipelineStage, stage_index: int, stage_count: int)**: Abstract method to lift a stage into a contextual stage. This is used to wrap regular pipeline stages with context-awareness.
- **run()**: Executes all stages in the pipeline within the given context, managing the flow of data and results between stages.
#### Key Behaviors:
- Provides a higher-level abstraction over standard pipelines by incorporating shared state.
- Facilitates the extension of pipeline functionality for domain-specific use cases, such as batch processing or distributed computation.
#### Example:
```python
class MyContextualPipeline(ContextualPipeline):
def lift(self, stage, stage_index, stage_count):
return CustomContextualStage(stage=stage, stage_index=stage_index, stage_count=stage_count)
```
---
### **FileSystemContext**
A data class that represents the file system context used in a pipeline. Encapsulates information about the root directory for file-based operations.
#### Attributes:
- **document_root**: The root directory for input and output operations.
#### Key Behaviors:
- Acts as a shared resource for file system-based pipelines, ensuring consistent paths for input and output.
#### Example:
```python
context = FileSystemContext(document_root="/data")
```
---
### **FileSystemCoupledPipelineStage**
A contextual pipeline stage tailored for file system operations. Extends the functionality of `ContextualPipelineStage` to handle file-based inputs and outputs.
#### Attributes:
- **input_subfolder**: The input folder name for the stage.
- **output_subfolder**: The output folder name for the stage.
- **json_decoder**: A JSON decoder for reading input files.
- **json_encoder**: A JSON encoder for writing output files.
#### Methods:
- **__post_init__()**: Initializes default subfolder names and JSON encoders/decoders if not provided.
- **generate_inputs(context: FileSystemContext)**: Reads and decodes JSON files from the input folder.
- **process_output(context: FileSystemContext, result: Any, result_index: int, result_count: int)**: Writes JSON files to the output folder based on the result index.
#### Key Behaviors:
- Automates the reading and writing of JSON files for pipeline stages.
- Supports configurable subfolder structures for stage-specific inputs and outputs.
#### Example:
```python
context = FileSystemContext(document_root="/data")
stage = FileSystemCoupledPipelineStage(stage=my_stage, stage_index=0, stage_count=1)
inputs = list(stage.generate_inputs(context))
stage.process_output(context, result=inputs[0], result_index=1, result_count=1)
```
---
### **FileSystemCoupledPipeline**
A contextual pipeline designed to operate with file system inputs and outputs. Facilitates the integration of pipelines with structured file storage.
#### Attributes:
- **context**: A `FileSystemContext` instance containing the document root.
- **pipeline**: The base pipeline to execute.
#### Methods:
- **lift(stage: Pipeline[Any, Any], stage_index: int, stage_count: int)**: Converts a base pipeline stage into a `FileSystemCoupledPipelineStage`.
- **__init__(document_root: str, pipeline: Pipeline[Any, Any])**: Initializes the pipeline with a document root and stages.
#### Key Behaviors:
- Provides a seamless interface for pipelines that require file-based inputs and outputs.
- Ensures consistent handling of file paths and operations across stages.
#### Example:
```python
pipeline = Pipeline(stages=[IdentityStage()])
fs_pipeline = FileSystemCoupledPipeline(document_root="/data", pipeline=pipeline)
fs_pipeline.run()
```
Raw data
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"name": "ixp-pipeline",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.12",
"maintainer_email": null,
"keywords": "pipeline, workflow, generics",
"author": null,
"author_email": "\"John S. Azariah\" <john.azariah@gmail.com>",
"download_url": "https://files.pythonhosted.org/packages/12/77/cab880e332bb765b67cad02777a8f72d63c507f7849ea27e2bf9abc0781c/ixp_pipeline-0.1.0.tar.gz",
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"description": "\n# Pipeline Framework Documentation\n\n## Overview\nThis framework provides a modular and extensible pipeline structure for transforming data through a series of stages. Each stage is responsible for producing, transforming, and consuming data as needed. The framework includes base classes for pipelines and stages, along with contextual processing capabilities.\n\n---\n\n## Modules\n\n### **PipelineStage**\nA generic class representing a single stage in the pipeline. This class provides flexibility to define various types of stages such as producing data, transforming data, or consuming data, and can be used in isolation or as part of a larger pipeline.\n\n#### Attributes:\n- **produce**: A callable that produces an iterable of results. If `produce` is not specified, this step is skipped.\n- **transform**: A callable that accepts an input of type `TStageInput` and returns an iterable of `TStageResult`. This is typically used to apply a transformation to the input data.\n- **consume**: A callable that processes each result produced or transformed by the stage. If specified, `consume` is applied to all results in the stage.\n\n#### Methods:\n- **run(input: TStageInput)**: Executes the stage by:\n 1. Calling `produce` (if defined) to generate initial results.\n 2. Applying the `transform` function to the input data.\n 3. Combining the results of `produce` and `transform`. The `produce` values will precede the `transform` values.\n 4. Optionally passing the combined results to the `consume` function.\n\n Returns an iterable of results.\n\n- **__call__(input: TStageInput)**: A shorthand for invoking the `run` method, enabling the stage to be used like a function.\n\n#### Key Behaviors:\n- If both `produce` and `transform` are defined, their results are combined.\n- If neither `produce` nor `transform` is defined, the input is returned as the result.\n- The `consume` function is applied to all results but does not alter the returned output.\n\n#### Example:\n```python\n# Define a stage that produces static values and applies a transformation\nstage = PipelineStage(\n produce=lambda: [1, 2, 3],\n transform=lambda x: [x * 2],\n consume=lambda r: print(f\"Consumed: {r}\")\n)\n\noutput = stage(5) # Produces: [1, 2, 3], Transforms: [10], Output: [1, 2, 3, 10]\n# Output to consume: Consumed: 1, Consumed: 2, Consumed: 3, Consumed: 10\n```\n\n#### Use Cases:\n- **Data Generation**: Use `produce` to create an initial dataset, e.g., reading files or fetching data from an API.\n- **Data Transformation**: Apply `transform` to modify or filter the input data.\n- **Data Consumption**: Use `consume` for side effects such as logging, storing results, or triggering downstream actions.\n\n---\n\n### **IdentityStage**\nA subclass of `PipelineStage` that passes input through without modification.\n\n#### Attributes:\n- **transform**: Defaults to a lambda function that returns the input as an iterable.\n\n#### Example:\n```python\nidentity = IdentityStage()\noutput = identity(5) # Output: [5]\n```\n\n---\n\n### **Pipeline**\nA sequence of stages that progressively transforms input data.\n\n#### Attributes:\n- **stages**: A list of `PipelineStage` instances.\n\n#### Methods:\n- **__init__(stages: Iterable[PipelineStage])**: Validates and initializes the pipeline stages.\n- **run(input: TPipelineInput)**: Executes the pipeline, passing data through each stage.\n- **__call__(input: TPipelineInput)**: Alias for `run`.\n\n#### Key Behaviors:\n- Ensures type compatibility between stages during initialization.\n- Processes input iteratively through all stages, allowing intermediate results to flow to subsequent stages.\n- Returns a flattened list of results after processing through all stages.\n\n#### Example:\n```python\npipeline = Pipeline(stages=[IdentityStage()])\noutput = pipeline.run(5) # Output: [5]\n```\n\n---\n\n### **ContextualPipelineStage**\nAn abstract base class for a pipeline stage that operates within a specific context. This is particularly useful for scenarios where stages need access to shared state or resources.\n\n#### Attributes:\n- **stage**: The `PipelineStage` to execute.\n- **stage_index**: The index of the stage in the pipeline.\n- **stage_count**: The total number of stages in the pipeline.\n\n#### Methods:\n- **generate_inputs(context: TPipelineContext)**: Abstract method to generate inputs from the context. Subclasses must implement this to define how input data is sourced.\n- **process_output(context: TPipelineContext, result: Any, result_index: int, result_count: int)**: Abstract method to process outputs within the context. Subclasses must implement this to define how results are handled or stored.\n- **run(context: TPipelineContext)**: Executes the stage within the given context by sourcing inputs, processing them through the stage, and handling outputs.\n- **__call__(context: TPipelineContext)**: Alias for `run`.\n\n#### Key Behaviors:\n- Orchestrates the interaction between the stage and the shared context.\n- Supports fine-grained control over how inputs are sourced and outputs are processed.\n\n#### Example:\n```python\nclass CustomContextualStage(ContextualPipelineStage):\n def generate_inputs(self, context):\n return context['data']\n\n def process_output(self, context, result, result_index, result_count):\n context['results'].append(result)\n```\n\n---\n\n### **ContextualPipeline**\nAn abstract base class for pipelines that operate within a specific context. Designed for use cases where shared state or resources must be managed across multiple stages.\n\n#### Attributes:\n- **pipeline**: The `Pipeline` instance to execute.\n- **context**: The context object shared across the pipeline stages.\n\n#### Methods:\n- **lift(stage: PipelineStage, stage_index: int, stage_count: int)**: Abstract method to lift a stage into a contextual stage. This is used to wrap regular pipeline stages with context-awareness.\n- **run()**: Executes all stages in the pipeline within the given context, managing the flow of data and results between stages.\n\n#### Key Behaviors:\n- Provides a higher-level abstraction over standard pipelines by incorporating shared state.\n- Facilitates the extension of pipeline functionality for domain-specific use cases, such as batch processing or distributed computation.\n\n#### Example:\n```python\nclass MyContextualPipeline(ContextualPipeline):\n def lift(self, stage, stage_index, stage_count):\n return CustomContextualStage(stage=stage, stage_index=stage_index, stage_count=stage_count)\n```\n\n---\n\n### **FileSystemContext**\nA data class that represents the file system context used in a pipeline. Encapsulates information about the root directory for file-based operations.\n\n#### Attributes:\n- **document_root**: The root directory for input and output operations.\n\n#### Key Behaviors:\n- Acts as a shared resource for file system-based pipelines, ensuring consistent paths for input and output.\n\n#### Example:\n```python\ncontext = FileSystemContext(document_root=\"/data\")\n```\n\n---\n\n### **FileSystemCoupledPipelineStage**\nA contextual pipeline stage tailored for file system operations. Extends the functionality of `ContextualPipelineStage` to handle file-based inputs and outputs.\n\n#### Attributes:\n- **input_subfolder**: The input folder name for the stage.\n- **output_subfolder**: The output folder name for the stage.\n- **json_decoder**: A JSON decoder for reading input files.\n- **json_encoder**: A JSON encoder for writing output files.\n\n#### Methods:\n- **__post_init__()**: Initializes default subfolder names and JSON encoders/decoders if not provided.\n- **generate_inputs(context: FileSystemContext)**: Reads and decodes JSON files from the input folder.\n- **process_output(context: FileSystemContext, result: Any, result_index: int, result_count: int)**: Writes JSON files to the output folder based on the result index.\n\n#### Key Behaviors:\n- Automates the reading and writing of JSON files for pipeline stages.\n- Supports configurable subfolder structures for stage-specific inputs and outputs.\n\n#### Example:\n```python\ncontext = FileSystemContext(document_root=\"/data\")\nstage = FileSystemCoupledPipelineStage(stage=my_stage, stage_index=0, stage_count=1)\ninputs = list(stage.generate_inputs(context))\nstage.process_output(context, result=inputs[0], result_index=1, result_count=1)\n```\n\n---\n\n### **FileSystemCoupledPipeline**\nA contextual pipeline designed to operate with file system inputs and outputs. Facilitates the integration of pipelines with structured file storage.\n\n#### Attributes:\n- **context**: A `FileSystemContext` instance containing the document root.\n- **pipeline**: The base pipeline to execute.\n\n#### Methods:\n- **lift(stage: Pipeline[Any, Any], stage_index: int, stage_count: int)**: Converts a base pipeline stage into a `FileSystemCoupledPipelineStage`.\n- **__init__(document_root: str, pipeline: Pipeline[Any, Any])**: Initializes the pipeline with a document root and stages.\n\n#### Key Behaviors:\n- Provides a seamless interface for pipelines that require file-based inputs and outputs.\n- Ensures consistent handling of file paths and operations across stages.\n\n#### Example:\n```python\npipeline = Pipeline(stages=[IdentityStage()])\nfs_pipeline = FileSystemCoupledPipeline(document_root=\"/data\", pipeline=pipeline)\nfs_pipeline.run()\n```\n",
"bugtrack_url": null,
"license": "Creative Commons Legal Code CC0 1.0 Universal CREATIVE COMMONS CORPORATION IS NOT A LAW FIRM AND DOES NOT PROVIDE LEGAL SERVICES. DISTRIBUTION OF THIS DOCUMENT DOES NOT CREATE AN ATTORNEY-CLIENT RELATIONSHIP. CREATIVE COMMONS PROVIDES THIS INFORMATION ON AN \"AS-IS\" BASIS. CREATIVE COMMONS MAKES NO WARRANTIES REGARDING THE USE OF THIS DOCUMENT OR THE INFORMATION OR WORKS PROVIDED HEREUNDER, AND DISCLAIMS LIABILITY FOR DAMAGES RESULTING FROM THE USE OF THIS DOCUMENT OR THE INFORMATION OR WORKS PROVIDED HEREUNDER. Statement of Purpose The laws of most jurisdictions throughout the world automatically confer exclusive Copyright and Related Rights (defined below) upon the creator and subsequent owner(s) (each and all, an \"owner\") of an original work of authorship and/or a database (each, a \"Work\"). Certain owners wish to permanently relinquish those rights to a Work for the purpose of contributing to a commons of creative, cultural and scientific works (\"Commons\") that the public can reliably and without fear of later claims of infringement build upon, modify, incorporate in other works, reuse and redistribute as freely as possible in any form whatsoever and for any purposes, including without limitation commercial purposes. These owners may contribute to the Commons to promote the ideal of a free culture and the further production of creative, cultural and scientific works, or to gain reputation or greater distribution for their Work in part through the use and efforts of others. For these and/or other purposes and motivations, and without any expectation of additional consideration or compensation, the person associating CC0 with a Work (the \"Affirmer\"), to the extent that he or she is an owner of Copyright and Related Rights in the Work, voluntarily elects to apply CC0 to the Work and publicly distribute the Work under its terms, with knowledge of his or her Copyright and Related Rights in the Work and the meaning and intended legal effect of CC0 on those rights. 1. Copyright and Related Rights. A Work made available under CC0 may be protected by copyright and related or neighboring rights (\"Copyright and Related Rights\"). Copyright and Related Rights include, but are not limited to, the following: i. the right to reproduce, adapt, distribute, perform, display, communicate, and translate a Work; ii. moral rights retained by the original author(s) and/or performer(s); iii. publicity and privacy rights pertaining to a person's image or likeness depicted in a Work; iv. rights protecting against unfair competition in regards to a Work, subject to the limitations in paragraph 4(a), below; v. rights protecting the extraction, dissemination, use and reuse of data in a Work; vi. database rights (such as those arising under Directive 96/9/EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases, and under any national implementation thereof, including any amended or successor version of such directive); and vii. other similar, equivalent or corresponding rights throughout the world based on applicable law or treaty, and any national implementations thereof. 2. Waiver. To the greatest extent permitted by, but not in contravention of, applicable law, Affirmer hereby overtly, fully, permanently, irrevocably and unconditionally waives, abandons, and surrenders all of Affirmer's Copyright and Related Rights and associated claims and causes of action, whether now known or unknown (including existing as well as future claims and causes of action), in the Work (i) in all territories worldwide, (ii) for the maximum duration provided by applicable law or treaty (including future time extensions), (iii) in any current or future medium and for any number of copies, and (iv) for any purpose whatsoever, including without limitation commercial, advertising or promotional purposes (the \"Waiver\"). Affirmer makes the Waiver for the benefit of each member of the public at large and to the detriment of Affirmer's heirs and successors, fully intending that such Waiver shall not be subject to revocation, rescission, cancellation, termination, or any other legal or equitable action to disrupt the quiet enjoyment of the Work by the public as contemplated by Affirmer's express Statement of Purpose. 3. Public License Fallback. Should any part of the Waiver for any reason be judged legally invalid or ineffective under applicable law, then the Waiver shall be preserved to the maximum extent permitted taking into account Affirmer's express Statement of Purpose. In addition, to the extent the Waiver is so judged Affirmer hereby grants to each affected person a royalty-free, non transferable, non sublicensable, non exclusive, irrevocable and unconditional license to exercise Affirmer's Copyright and Related Rights in the Work (i) in all territories worldwide, (ii) for the maximum duration provided by applicable law or treaty (including future time extensions), (iii) in any current or future medium and for any number of copies, and (iv) for any purpose whatsoever, including without limitation commercial, advertising or promotional purposes (the \"License\"). The License shall be deemed effective as of the date CC0 was applied by Affirmer to the Work. Should any part of the License for any reason be judged legally invalid or ineffective under applicable law, such partial invalidity or ineffectiveness shall not invalidate the remainder of the License, and in such case Affirmer hereby affirms that he or she will not (i) exercise any of his or her remaining Copyright and Related Rights in the Work or (ii) assert any associated claims and causes of action with respect to the Work, in either case contrary to Affirmer's express Statement of Purpose. 4. Limitations and Disclaimers. a. No trademark or patent rights held by Affirmer are waived, abandoned, surrendered, licensed or otherwise affected by this document. b. Affirmer offers the Work as-is and makes no representations or warranties of any kind concerning the Work, express, implied, statutory or otherwise, including without limitation warranties of title, merchantability, fitness for a particular purpose, non infringement, or the absence of latent or other defects, accuracy, or the present or absence of errors, whether or not discoverable, all to the greatest extent permissible under applicable law. c. Affirmer disclaims responsibility for clearing rights of other persons that may apply to the Work or any use thereof, including without limitation any person's Copyright and Related Rights in the Work. Further, Affirmer disclaims responsibility for obtaining any necessary consents, permissions or other rights required for any use of the Work. d. Affirmer understands and acknowledges that Creative Commons is not a party to this document and has no duty or obligation with respect to this CC0 or use of the Work. ",
"summary": "A Python library for building pipelines with ixp_generics",
"version": "0.1.0",
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