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Metadata-Version: 2.1
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Name: srsly
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Version: 1.0.1
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Summary: Modern high-performance serialization utilities for Python
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Home-page: https://explosion.ai
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Author: Explosion AI
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Author-email: contact@explosion.ai
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License: MIT
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Platform: UNKNOWN
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Environment :: Console
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Classifier: Intended Audience :: Developers
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Classifier: Intended Audience :: Science/Research
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Classifier: License :: OSI Approved :: MIT License
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Classifier: Operating System :: POSIX :: Linux
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Classifier: Operating System :: MacOS :: MacOS X
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Classifier: Operating System :: Microsoft :: Windows
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Classifier: Programming Language :: Cython
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Classifier: Programming Language :: Python :: 2
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Classifier: Programming Language :: Python :: 2.7
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.4
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Classifier: Programming Language :: Python :: 3.5
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Classifier: Programming Language :: Python :: 3.6
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Classifier: Programming Language :: Python :: 3.7
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Topic :: Scientific/Engineering
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Description-Content-Type: text/markdown
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Requires-Dist: pathlib (==1.0.1); python_version < "3.4"
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<a href="https://explosion.ai"><img src="https://explosion.ai/assets/img/logo.svg" width="125" height="125" align="right" /></a>
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# srsly: Modern high-performance serialization utilities for Python
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This package bundles some of the best Python serialization libraries into one
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standalone package, with a high-level API that makes it easy to write code
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that's correct across platforms and Pythons. This allows us to provide all the
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serialization utilities we need in a single binary wheel.
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[![Azure Pipelines](https://img.shields.io/azure-devops/build/explosion-ai/public/4/master.svg?logo=azure-pipelines&style=flat-square)](https://dev.azure.com/explosion-ai/public/_build?definitionId=4)
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[![PyPi](https://img.shields.io/pypi/v/srsly.svg?style=flat-square&logo=pypi&logoColor=white)](https://pypi.python.org/pypi/srsly)
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[![conda](https://img.shields.io/conda/vn/conda-forge/srsly.svg?style=flat-square&logo=conda-forge&logoColor=white)](https://anaconda.org/conda-forge/srsly)
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[![GitHub](https://img.shields.io/github/release/explosion/srsly/all.svg?style=flat-square&logo=github)](https://github.com/explosion/srsly)
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[![Python wheels](https://img.shields.io/badge/wheels-%E2%9C%93-4c1.svg?longCache=true&style=flat-square&logo=python&logoColor=white)](https://github.com/explosion/wheelwright/releases)
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## Motivation
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Serialization is hard, especially across Python versions and multiple platforms.
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After dealing with many subtle bugs over the years (encodings, locales, large
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files) our libraries like [spaCy](https://github.com/explosion/spaCy) and
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[Prodigy](https://prodi.gy) have steadily grown a number of utility functions to
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wrap the multiple serialization formats we need to support (especially `json`,
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`msgpack` and `pickle`). These wrapping functions ended up duplicated across our
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codebases, so we wanted to put them in one place.
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At the same time, we noticed that having a lot of small dependencies was making
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maintenance harder, and making installation slower. To solve this, we've made
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`srsly` standalone, by including the component packages directly within it. This
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way we can provide all the serialization utilities we need in a single binary
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wheel.
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`srsly` currently includes forks of the following packages:
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- [`ujson`](https://github.com/esnme/ultrajson)
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- [`msgpack`](https://github.com/msgpack/msgpack-python)
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- [`msgpack-numpy`](https://github.com/lebedov/msgpack-numpy)
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- [`cloudpickle`](https://github.com/cloudpipe/cloudpickle)
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## Installation
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`srsly` can be installed from pip:
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```bash
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pip install srsly
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```
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Or from conda via conda-forge:
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```bash
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conda install -c conda-forge srsly
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```
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Alternatively, you can also compile the library from source. You'll need to make
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sure that you have a development environment consisting of a Python distribution
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including header files, a compiler (XCode command-line tools on macOS / OS X or
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Visual C++ build tools on Windows), pip, virtualenv and git installed.
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```bash
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pip install -r requirements.txt # install development dependencies
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python setup.py build_ext --inplace # compile the library
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```
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## API
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### JSON
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> 📦 The underlying module is exposed via `srsly.ujson`. However, we normally
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> interact with it via the utility functions only.
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#### <kbd>function</kbd> `srsly.json_dumps`
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Serialize an object to a JSON string. Takes care of Python 2/3 compatibility and
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falls back to `json` if `sort_keys=True` is used (until it's fixed in `ujson`).
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```python
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data = {"foo": "bar", "baz": 123}
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json_string = srsly.json_dumps(data)
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```
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| Argument | Type | Description |
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| ----------- | ------- | ------------------------------------------------------ |
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| `data` | - | The JSON-serializable data to output. |
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| `indent` | int | Number of spaces used to indent JSON. Defaults to `0`. |
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| `sort_keys` | bool | Sort dictionary keys. Defaults to `False`. |
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| **RETURNS** | unicode | The serialized string. |
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#### <kbd>function</kbd> `srsly.json_loads`
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Deserialize unicode or bytes to a Python object.
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```python
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data = '{"foo": "bar", "baz": 123}'
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obj = srsly.json_loads(data)
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```
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| Argument | Type | Description |
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| ----------- | --------------- | ------------------------------- |
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| `data` | unicode / bytes | The data to deserialize. |
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| **RETURNS** | - | The deserialized Python object. |
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#### <kbd>function</kbd> `srsly.write_json`
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Create a JSON file and dump contents or write to standard output.
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```python
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data = {"foo": "bar", "baz": 123}
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srsly.write_json("/path/to/file.json", data)
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```
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| Argument | Type | Description |
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| ---------- | ---------------- | ------------------------------------------------------ |
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| `location` | unicode / `Path` | The file path or `"-"` to write to stdout. |
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| `data` | - | The JSON-serializable data to output. |
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| `indent` | int | Number of spaces used to indent JSON. Defaults to `2`. |
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#### <kbd>function</kbd> `srsly.read_json`
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Load JSON from a file or standard input.
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```python
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data = srsly.read_json("/path/to/file.json")
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```
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| Argument | Type | Description |
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| ----------- | ---------------- | ------------------------------------------ |
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| `location` | unicode / `Path` | The file path or `"-"` to read from stdin. |
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| **RETURNS** | dict / list | The loaded JSON content. |
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#### <kbd>function</kbd> `srsly.write_gzip_json`
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Create a gzipped JSON file and dump contents.
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```python
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data = {"foo": "bar", "baz": 123}
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srsly.write_gzip_json("/path/to/file.json.gz", data)
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```
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| Argument | Type | Description |
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| ---------- | ---------------- | ------------------------------------------------------ |
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| `location` | unicode / `Path` | The file path. |
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| `data` | - | The JSON-serializable data to output. |
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| `indent` | int | Number of spaces used to indent JSON. Defaults to `2`. |
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#### <kbd>function</kbd> `srsly.read_gzip_json`
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Load gzipped JSON from a file.
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```python
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data = srsly.read_gzip_json("/path/to/file.json.gz")
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```
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| Argument | Type | Description |
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| ----------- | ---------------- | ------------------------ |
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| `location` | unicode / `Path` | The file path. |
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| **RETURNS** | dict / list | The loaded JSON content. |
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#### <kbd>function</kbd> `srsly.write_jsonl`
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Create a JSONL file (newline-delimited JSON) and dump contents line by line, or
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write to standard output.
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```python
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data = [{"foo": "bar"}, {"baz": 123}]
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srsly.write_jsonl("/path/to/file.jsonl", data)
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```
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| Argument | Type | Description |
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| ---------- | ---------------- | ---------------------------------------------------------------------------------------------------------------------- |
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| `location` | unicode / `Path` | The file path or `"-"` to write to stdout. |
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| `lines` | iterable | The JSON-serializable lines. |
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| `append` | bool | Append to an existing file. Will open it in `"a"` mode and insert a newline before writing lines. Defaults to `False`. |
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| `append_new_line` | bool | Defines whether a new line should first be written when appending to an existing file. Defaults to `True`. |
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#### <kbd>function</kbd> `srsly.read_jsonl`
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Read a JSONL file (newline-delimited JSON) or from JSONL data from standard
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input and yield contents line by line. Blank lines will always be skipped.
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```python
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data = srsly.read_jsonl("/path/to/file.jsonl")
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```
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| Argument | Type | Description |
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| ---------- | -------------- | -------------------------------------------------------------------- |
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| `location` | unicode / Path | The file path or `"-"` to read from stdin. |
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| `skip` | bool | Skip broken lines and don't raise `ValueError`. Defaults to `False`. |
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| **YIELDS** | - | The loaded JSON contents of each line. |
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#### <kbd>function</kbd> `srsly.is_json_serializable`
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Check if a Python object is JSON-serializable.
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```python
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assert srsly.is_json_serializable({"hello": "world"}) is True
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assert srsly.is_json_serializable(lambda x: x) is False
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```
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| Argument | Type | Description |
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| ----------- | ---- | ---------------------------------------- |
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| `obj` | - | The object to check. |
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| **RETURNS** | bool | Whether the object is JSON-serializable. |
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### msgpack
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> 📦 The underlying module is exposed via `srsly.msgpack`. However, we normally
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> interact with it via the utility functions only.
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#### <kbd>function</kbd> `srsly.msgpack_dumps`
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Serialize an object to a msgpack byte string.
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```python
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data = {"foo": "bar", "baz": 123}
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msg = srsly.msgpack_dumps(data)
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```
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| Argument | Type | Description |
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| ----------- | ----- | ---------------------- |
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| `data` | - | The data to serialize. |
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| **RETURNS** | bytes | The serialized bytes. |
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#### <kbd>function</kbd> `srsly.msgpack_loads`
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Deserialize msgpack bytes to a Python object.
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```python
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msg = b"\x82\xa3foo\xa3bar\xa3baz{"
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data = srsly.msgpack_loads(msg)
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```
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| Argument | Type | Description |
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| ----------- | ----- | --------------------------------------------------------------------------------------- |
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| `data` | bytes | The data to deserialize. |
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| `use_list` | bool | Don't use tuples instead of lists. Can make deserialization slower. Defaults to `True`. |
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| **RETURNS** | - | The deserialized Python object. |
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#### <kbd>function</kbd> `srsly.write_msgpack`
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Create a msgpack file and dump contents.
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```python
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data = {"foo": "bar", "baz": 123}
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srsly.write_msgpack("/path/to/file.msg", data)
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```
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| Argument | Type | Description |
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| ---------- | ---------------- | ---------------------- |
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| `location` | unicode / `Path` | The file path. |
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| `data` | - | The data to serialize. |
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#### <kbd>function</kbd> `srsly.read_msgpack`
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Load a msgpack file.
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```python
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data = srsly.read_msgpack("/path/to/file.msg")
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```
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| Argument | Type | Description |
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| ----------- | ---------------- | --------------------------------------------------------------------------------------- |
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| `location` | unicode / `Path` | The file path. |
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| `use_list` | bool | Don't use tuples instead of lists. Can make deserialization slower. Defaults to `True`. |
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| **RETURNS** | - | The loaded and deserialized content. |
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### pickle
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> 📦 The underlying module is exposed via `srsly.cloudpickle`. However, we
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> normally interact with it via the utility functions only.
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#### <kbd>function</kbd> `srsly.pickle_dumps`
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Serialize a Python object with pickle.
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```python
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data = {"foo": "bar", "baz": 123}
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pickled_data = srsly.pickle_dumps(data)
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```
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| Argument | Type | Description |
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| ----------- | ----- | ------------------------------------------------------ |
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| `data` | - | The object to serialize. |
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| `protocol` | int | Protocol to use. `-1` for highest. Defaults to `None`. |
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| **RETURNS** | bytes | The serialized object. |
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#### <kbd>function</kbd> `srsly.pickle_loads`
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Deserialize bytes with pickle.
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```python
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pickled_data = b"\x80\x04\x95\x19\x00\x00\x00\x00\x00\x00\x00}\x94(\x8c\x03foo\x94\x8c\x03bar\x94\x8c\x03baz\x94K{u."
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data = srsly.pickle_loads(pickled_data)
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```
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| Argument | Type | Description |
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| ----------- | ----- | ------------------------------- |
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| `data` | bytes | The data to deserialize. |
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| **RETURNS** | - | The deserialized Python object. |
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