python-benedict

python-benedict 是一个支持 keylist/keypath/keyattr 的 dict 子类，具有 I/O 快捷方式（base64、cli、csv、html、ini、json、pickle、plist、query-string、toml、xls、xml、yaml）和许多 实用工具... 显然是为了人类用户。

特性

• 100% 向后兼容，您可以安全地包装现有的字典。
• NEW 支持 Keyattr，可以使用 键作为属性 来获取/设置项。
• Keylist 支持，使用 键列表 作为键。
• Keypath 支持，使用 keypath分隔符 （默认为点语法）。
• 支持 Keypath 列表索引 （也可以是负数），使用标准的 [n] 后缀。
• 与最常见的格式进行归一化 I/O 操作：base64、cli、csv、html、ini、json、pickle、plist、query-string、toml、xls、xml、yaml。
• 多个 I/O 操作 后端：file-system （读写）、url （只读）、s3 （读写）。
• 许多 实用工具 和 解析方法，以便根据需要检索数据 （请参阅API部分）。
• 经过良好的 测试。 ;)

索引

• 安装
  • 可选要求
• 用法
  • 基础知识
  • Keyattr my_dict.x.y.z
  • Keylist my_dict["x", "y", "z"]
  • Keypath my_dict["x.y.z"]
    • 自定义键路径分隔符
    • 更改键路径分隔符
    • 禁用键路径功能
    • 列表索引支持
  • I/O
  • API
    • 实用方法
    • I/O 方法
    • 解析方法
• 测试
• 许可证

安装

如果您想安装 所有内容

• 运行 pip install "python-benedict[all]"

或者您可以安装主包

• 运行 pip install python-benedict，然后仅安装您需要的 可选要求。

可选要求

在运行 pip install "python-benedict[...]" 时，可用的可能安装目标层次结构如下 (每个目标安装其所有子目标)

• [all]
  • [io]
    • [html]
    • [toml]
    • [xls]
    • [xml]
    • [yaml]
  • [parse]
  • [s3]

用法

基础知识

benedict 是一个 dict 子类，因此它可以作为普通字典使用 (您只需将现有字典转换为类型)。

from benedict import benedict

# create a new empty instance
d = benedict()

# or cast an existing dict
d = benedict(existing_dict)

# or create from data source (filepath, url or data-string) in a supported format:
# Base64, CSV, JSON, TOML, XML, YAML, query-string
d = benedict("https://localhost:8000/data.json", format="json")

# or in a Django view
params = benedict(request.GET.items())
page = params.get_int("page", 1)

Keyattr

可以使用 键作为属性（点表示法）来获取/设置项。

d = benedict(keyattr_dynamic=True) # default False
d.profile.firstname = "Fabio"
d.profile.lastname = "Caccamo"
print(d) # -> { "profile":{ "firstname":"Fabio", "lastname":"Caccamo" } }

默认情况下，如果未明确将 keyattr_dynamic 设置为 True，则此功能仅适用于已存在的项的获取/设置。

禁用 keyattr 功能

您可以在构造函数中传递 keyattr_enabled=False 选项来禁用 keyattr 功能。

d = benedict(existing_dict, keyattr_enabled=False) # default True

或使用 getter/setter 属性。

d.keyattr_enabled = False

动态 keyattr 功能

您可以在构造函数中传递 keyattr_dynamic=True 来启用动态属性访问功能。

d = benedict(existing_dict, keyattr_dynamic=True) # default False

或使用 getter/setter 属性。

d.keyattr_dynamic = True

警告 - 尽管这个特性非常有用，但它有一些明显的限制：它仅适用于不包含 _ 且不与当前支持的方法名称冲突的字符串键。

Keylist

无论何时使用键，都可以使用键的 列表（或元组）。

d = benedict()

# set values by keys list
d["profile", "firstname"] = "Fabio"
d["profile", "lastname"] = "Caccamo"
print(d) # -> { "profile":{ "firstname":"Fabio", "lastname":"Caccamo" } }
print(d["profile"]) # -> { "firstname":"Fabio", "lastname":"Caccamo" }

# check if keypath exists in dict
print(["profile", "lastname"] in d) # -> True

# delete value by keys list
del d["profile", "lastname"]
print(d["profile"]) # -> { "firstname":"Fabio" }

Keypath

. 是默认的键路径分隔符。

如果您将现有的字典转换为类型，并且其键包含键路径分隔符，则会引发 ValueError。

在这种情况下，您应使用 自定义键路径分隔符 或 禁用键路径功能。

d = benedict()

# set values by keypath
d["profile.firstname"] = "Fabio"
d["profile.lastname"] = "Caccamo"
print(d) # -> { "profile":{ "firstname":"Fabio", "lastname":"Caccamo" } }
print(d["profile"]) # -> { "firstname":"Fabio", "lastname":"Caccamo" }

# check if keypath exists in dict
print("profile.lastname" in d) # -> True

# delete value by keypath
del d["profile.lastname"]

自定义键路径分隔符

您可以通过在构造函数中传递 keypath_separator 参数来自定义键路径分隔符。

如果您将现有的字典传递给构造函数，并且其键包含键路径分隔符，则会引发 Exception。

d = benedict(existing_dict, keypath_separator="/")

更改键路径分隔符

您可以使用 getter/setter 属性在任何时候更改 keypath_separator。

如果任何现有键包含新的 keypath_separator，则会引发 Exception。

d.keypath_separator = "/"

禁用键路径功能

您可以通过在构造函数中传递 keypath_separator=None 选项来禁用键路径功能。

d = benedict(existing_dict, keypath_separator=None)

或使用 getter/setter 属性。

d.keypath_separator = None

列表索引支持

支持列表索引，键路径可以包含索引 (也可以是负数) 使用 [n]，以非常快速地执行任何操作

# Eg. get last location cordinates of the first result:
loc = d["results[0].locations[-1].coordinates"]
lat = loc.get_decimal("latitude")
lng = loc.get_decimal("longitude")

I/O

为了简化 I/O 操作，benedict 支持多种输入/输出方法，包括大多数常见格式：base64、cli、csv、html、ini、json、pickle、plist、query-string、toml、xls、xml、yaml。

通过构造函数进行输入

您可以直接从数据源（filepath、url、s3 或 data 字符串）创建 benedict 实例，通过在构造函数中传递数据源和数据格式（可选，默认为 "json"）。

# filepath
d = benedict("/root/data.yml", format="yaml")

# url
d = benedict("https://localhost:8000/data.xml", format="xml")

# s3
d = benedict("s3://my-bucket/data.xml", s3_options={"aws_access_key_id": "...", "aws_secret_access_key": "..."})

# data
d = benedict('{"a": 1, "b": 2, "c": 3, "x": 7, "y": 8, "z": 9}')

输入方法

• 所有 输入 方法都可以作为类方法访问，并以 from_* 开头，后跟格式名称。
• 在所有 输入 方法中，第一个参数可以表示源：文件路径、URL、S3 URL 或数据字符串。

输入源

所有支持的数据源（文件，URL，S3，数据）默认允许，但在某些情况下，当输入数据来自不可信的来源时，使用 sources 参数限制允许的数据源可能是有用的。

# url
d = benedict("https://localhost:8000/data.json", sources=["url"]) # -> ok
d = benedict.from_json("https://localhost:8000/data.json", sources=["url"]) # -> ok

# s3
d = benedict("s3://my-bucket/data.json", sources=["url"]) # -> raise ValueError
d = benedict.from_json("s3://my-bucket/data.json", sources=["url"]) # -> raise ValueError

输出方法

• 所有 输出 方法都可以作为实例方法访问，并且以 to_* 开头，后跟格式名称。
• 在所有 输出 方法中，如果指定了 filepath="..." 关键字参数，输出也将被保存在指定的文件路径中。

支持格式

以下是支持格式的详细信息，操作和额外选项文档。

API

• 实用方法

  • clean
  • clone
  • dump
  • filter
  • find
  • flatten
  • groupby
  • invert
  • items_sorted_by_keys
  • items_sorted_by_values
  • keypaths
  • match
  • merge
  • move
  • nest
  • remove
  • rename
  • search
  • standardize
  • subset
  • swap
  • traverse
  • unflatten
  • unique

• I/O 方法

  • from_base64
  • from_cli
  • from_csv
  • from_ini
  • from_html
  • from_json
  • from_pickle
  • from_plist
  • from_query_string
  • from_toml
  • from_xls
  • from_xml
  • from_yaml
  • to_base64
  • to_csv
  • to_ini
  • to_json
  • to_pickle
  • to_plist
  • to_query_string
  • to_toml
  • to_xml
  • to_yaml

• 解析方法

  • get_bool
  • get_bool_list
  • get_date
  • get_date_list
  • get_datetime
  • get_datetime_list
  • get_decimal
  • get_decimal_list
  • get_dict
  • get_email
  • get_float
  • get_float_list
  • get_int
  • get_int_list
  • get_list
  • get_list_item
  • get_phonenumber
  • get_slug
  • get_slug_list
  • get_str
  • get_str_list
  • get_uuid
  • get_uuid_list

实用方法

这些方法是常见的工具，可以加快您日常工作的速度。

接受键参数的工具也支持键路径。

返回字典的工具始终返回一个新的 benedict 实例。

clean

# Clean the current dict instance removing all empty values: None, "", {}, [], ().
# If strings or collections (dict, list, set, tuple) flags are False,
# related empty values will not be deleted.
d.clean(strings=True, collections=True)

clone

# Return a clone (deepcopy) of the dict.
c = d.clone()

dump

# Return a readable representation of any dict/list.
# This method can be used both as static method or instance method.
s = benedict.dump(d.keypaths())
print(s)
# or
d = benedict()
print(d.dump())

filter

# Return a filtered dict using the given predicate function.
# Predicate function receives key, value arguments and should return a bool value.
predicate = lambda k, v: v is not None
f = d.filter(predicate)

find

# Return the first match searching for the given keys/keypaths.
# If no result found, default value is returned.
keys = ["a.b.c", "m.n.o", "x.y.z"]
f = d.find(keys, default=0)

flatten

# Return a new flattened dict using the given separator to join nested dict keys to flatten keypaths.
f = d.flatten(separator="_")

groupby

# Group a list of dicts at key by the value of the given by_key and return a new dict.
g = d.groupby("cities", by_key="country_code")

invert

# Return an inverted dict where values become keys and keys become values.
# Since multiple keys could have the same value, each value will be a list of keys.
# If flat is True each value will be a single value (use this only if values are unique).
i = d.invert(flat=False)

items_sorted_by_keys

# Return items (key/value list) sorted by keys.
# If reverse is True, the list will be reversed.
items = d.items_sorted_by_keys(reverse=False)

items_sorted_by_values

# Return items (key/value list) sorted by values.
# If reverse is True, the list will be reversed.
items = d.items_sorted_by_values(reverse=False)

keypaths

# Return a list of all keypaths in the dict.
# If indexes is True, the output will include list values indexes.
k = d.keypaths(indexes=False)

match

# Return a list of all values whose keypath matches the given pattern (a regex or string).
# If pattern is string, wildcard can be used (eg. [*] can be used to match all list indexes).
# If indexes is True, the pattern will be matched also against list values.
m = d.match(pattern, indexes=True)

merge

# Merge one or more dictionary objects into current instance (deepupdate).
# Sub-dictionaries keys will be merged together.
# If overwrite is False, existing values will not be overwritten.
# If concat is True, list values will be concatenated together.
d.merge(a, b, c, overwrite=True, concat=False)

move

# Move an item from key_src to key_dst.
# It can be used to rename a key.
# If key_dst exists, its value will be overwritten.
d.move("a", "b", overwrite=True)

nest

# Nest a list of dicts at the given key and return a new nested list
# using the specified keys to establish the correct items hierarchy.
d.nest("values", id_key="id", parent_id_key="parent_id", children_key="children")

remove

# Remove multiple keys from the dict.
# It is possible to pass a single key or more keys (as list or *args).
d.remove(["firstname", "lastname", "email"])

rename

# Rename a dict item key from "key" to "key_new".
# If key_new exists, a KeyError will be raised.
d.rename("first_name", "firstname")

search

# Search and return a list of items (dict, key, value, ) matching the given query.
r = d.search("hello", in_keys=True, in_values=True, exact=False, case_sensitive=False)

standardize

# Standardize all dict keys, e.g. "Location Latitude" -> "location_latitude".
d.standardize()

subset

# Return a dict subset for the given keys.
# It is possible to pass a single key or more keys (as list or *args).
s = d.subset(["firstname", "lastname", "email"])

swap

# Swap items values at the given keys.
d.swap("firstname", "lastname")

traverse

# Traverse a dict passing each item (dict, key, value) to the given callback function.
def f(d, key, value):
    print(f"dict: {d} - key: {key} - value: {value}")
d.traverse(f)

unflatten

# Return a new unflattened dict using the given separator to split dict keys to nested keypaths.
u = d.unflatten(separator="_")

unique

# Remove duplicated values from the dict.
d.unique()

I/O 方法

这些方法可用于输入/输出操作。

from_base64

# Try to load/decode a base64 encoded data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to choose the subformat used under the hood:
# ('csv', 'json', 'query-string', 'toml', 'xml', 'yaml'), default: 'json'.
# It's possible to choose the encoding, default 'utf-8'.
# A ValueError is raised in case of failure.
d = benedict.from_base64(s, subformat="json", encoding="utf-8", **kwargs)

from_cli

# Load and decode data from a string of CLI arguments.
# ArgumentParser specific options can be passed using kwargs:
# https://docs.pythonlang.cn/3/library/argparse.html#argparse.ArgumentParser
# Return a new dict instance. A ValueError is raised in case of failure.
d = benedict.from_cli(s, **kwargs)

from_csv

# Try to load/decode a csv encoded data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to specify the columns list, default: None (in this case the first row values will be used as keys).
# It's possible to pass decoder specific options using kwargs:
# https://docs.pythonlang.cn/3/library/csv.html
# A ValueError is raised in case of failure.
d = benedict.from_csv(s, columns=None, columns_row=True, **kwargs)

from_html

# Try to load/decode a html data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# https://beautiful-soup-4.readthedocs.io/
# A ValueError is raised in case of failure.
d = benedict.from_html(s, **kwargs)

from_ini

# Try to load/decode a ini encoded data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# https://docs.pythonlang.cn/3/library/configparser.html
# A ValueError is raised in case of failure.
d = benedict.from_ini(s, **kwargs)

from_json

# Try to load/decode a json encoded data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# https://docs.pythonlang.cn/3/library/json.html
# A ValueError is raised in case of failure.
d = benedict.from_json(s, **kwargs)

from_pickle

# Try to load/decode a pickle encoded in Base64 format and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# https://docs.pythonlang.cn/3/library/pickle.html
# A ValueError is raised in case of failure.
d = benedict.from_pickle(s, **kwargs)

from_plist

# Try to load/decode a p-list encoded data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# https://docs.pythonlang.cn/3/library/plistlib.html
# A ValueError is raised in case of failure.
d = benedict.from_plist(s, **kwargs)

from_query_string

# Try to load/decode a query-string and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# A ValueError is raised in case of failure.
d = benedict.from_query_string(s, **kwargs)

from_toml

# Try to load/decode a toml encoded data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# https://pypi.ac.cn/project/toml/
# A ValueError is raised in case of failure.
d = benedict.from_toml(s, **kwargs)

from_xls

# Try to load/decode a xls file (".xls", ".xlsx", ".xlsm") from url, filepath or data-string.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# - https://openpyxl.readthedocs.io/ (for .xlsx and .xlsm files)
# - https://pypi.ac.cn/project/xlrd/ (for .xls files)
# A ValueError is raised in case of failure.
d = benedict.from_xls(s, sheet=0, columns=None, columns_row=True, **kwargs)

from_xml

# Try to load/decode a xml encoded data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# https://github.com/martinblech/xmltodict
# A ValueError is raised in case of failure.
d = benedict.from_xml(s, **kwargs)

from_yaml

# Try to load/decode a yaml encoded data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# https://pyyaml.org/wiki/PyYAMLDocumentation
# A ValueError is raised in case of failure.
d = benedict.from_yaml(s, **kwargs)

to_base64

# Return the dict instance encoded in base64 format and optionally save it at the specified 'filepath'.
# It's possible to choose the subformat used under the hood:
# ('csv', json', 'query-string', 'toml', 'xml', 'yaml'), default: 'json'.
# It's possible to choose the encoding, default 'utf-8'.
# It's possible to pass decoder specific options using kwargs.
# A ValueError is raised in case of failure.
s = d.to_base64(subformat="json", encoding="utf-8", **kwargs)

to_csv

# Return a list of dicts in the current dict encoded in csv format and optionally save it at the specified filepath.
# It's possible to specify the key of the item (list of dicts) to encode, default: 'values'.
# It's possible to specify the columns list, default: None (in this case the keys of the first item will be used).
# A ValueError is raised in case of failure.
s = d.to_csv(key="values", columns=None, columns_row=True, **kwargs)

to_ini

# Return the dict instance encoded in ini format and optionally save it at the specified filepath.
# It's possible to pass encoder specific options using kwargs:
# https://docs.pythonlang.cn/3/library/configparser.html
# A ValueError is raised in case of failure.
s = d.to_ini(**kwargs)

to_json

# Return the dict instance encoded in json format and optionally save it at the specified filepath.
# It's possible to pass encoder specific options using kwargs:
# https://docs.pythonlang.cn/3/library/json.html
# A ValueError is raised in case of failure.
s = d.to_json(**kwargs)

to_pickle

# Return the dict instance as pickle encoded in Base64 format and optionally save it at the specified filepath.
# The pickle protocol used by default is 2.
# It's possible to pass encoder specific options using kwargs:
# https://docs.pythonlang.cn/3/library/pickle.html
# A ValueError is raised in case of failure.
s = d.to_pickle(**kwargs)

to_plist

# Return the dict instance encoded in p-list format and optionally save it at the specified filepath.
# It's possible to pass encoder specific options using kwargs:
# https://docs.pythonlang.cn/3/library/plistlib.html
# A ValueError is raised in case of failure.
s = d.to_plist(**kwargs)

to_query_string

# Return the dict instance as query-string and optionally save it at the specified filepath.
# A ValueError is raised in case of failure.
s = d.to_query_string(**kwargs)

to_toml

# Return the dict instance encoded in toml format and optionally save it at the specified filepath.
# It's possible to pass encoder specific options using kwargs:
# https://pypi.ac.cn/project/toml/
# A ValueError is raised in case of failure.
s = d.to_toml(**kwargs)

to_xml

# Return the dict instance encoded in xml format and optionally save it at the specified filepath.
# It's possible to pass encoder specific options using kwargs:
# https://github.com/martinblech/xmltodict
# A ValueError is raised in case of failure.
s = d.to_xml(**kwargs)

to_yaml

# Return the dict instance encoded in yaml format.
# If filepath option is passed the output will be saved ath
# It's possible to pass encoder specific options using kwargs:
# https://pyyaml.org/wiki/PyYAMLDocumentation
# A ValueError is raised in case of failure.
s = d.to_yaml(**kwargs)

解析方法

这些方法是 get 方法的包装器，它们尝试解析数据并以期望的类型返回它。

get_bool

# Get value by key or keypath trying to return it as bool.
# Values like `1`, `true`, `yes`, `on`, `ok` will be returned as `True`.
d.get_bool(key, default=False)

get_bool_list

# Get value by key or keypath trying to return it as list of bool values.
# If separator is specified and value is a string it will be splitted.
d.get_bool_list(key, default=[], separator=",")

get_date

# Get value by key or keypath trying to return it as date.
# If format is not specified it will be autodetected.
# If choices and value is in choices return value otherwise default.
d.get_date(key, default=None, format=None, choices=[])

get_date_list

# Get value by key or keypath trying to return it as list of date values.
# If separator is specified and value is a string it will be splitted.
d.get_date_list(key, default=[], format=None, separator=",")

get_datetime

# Get value by key or keypath trying to return it as datetime.
# If format is not specified it will be autodetected.
# If choices and value is in choices return value otherwise default.
d.get_datetime(key, default=None, format=None, choices=[])

get_datetime_list

# Get value by key or keypath trying to return it as list of datetime values.
# If separator is specified and value is a string it will be splitted.
d.get_datetime_list(key, default=[], format=None, separator=",")

get_decimal

# Get value by key or keypath trying to return it as Decimal.
# If choices and value is in choices return value otherwise default.
d.get_decimal(key, default=Decimal("0.0"), choices=[])

get_decimal_list

# Get value by key or keypath trying to return it as list of Decimal values.
# If separator is specified and value is a string it will be splitted.
d.get_decimal_list(key, default=[], separator=",")

get_dict

# Get value by key or keypath trying to return it as dict.
# If value is a json string it will be automatically decoded.
d.get_dict(key, default={})

get_email

# Get email by key or keypath and return it.
# If value is blacklisted it will be automatically ignored.
# If check_blacklist is False, it will be not ignored even if blacklisted.
d.get_email(key, default="", choices=None, check_blacklist=True)

get_float

# Get value by key or keypath trying to return it as float.
# If choices and value is in choices return value otherwise default.
d.get_float(key, default=0.0, choices=[])

get_float_list

# Get value by key or keypath trying to return it as list of float values.
# If separator is specified and value is a string it will be splitted.
d.get_float_list(key, default=[], separator=",")

get_int

# Get value by key or keypath trying to return it as int.
# If choices and value is in choices return value otherwise default.
d.get_int(key, default=0, choices=[])

get_int_list

# Get value by key or keypath trying to return it as list of int values.
# If separator is specified and value is a string it will be splitted.
d.get_int_list(key, default=[], separator=",")

get_list

# Get value by key or keypath trying to return it as list.
# If separator is specified and value is a string it will be splitted.
d.get_list(key, default=[], separator=",")

get_list_item

# Get list by key or keypath and return value at the specified index.
# If separator is specified and list value is a string it will be splitted.
d.get_list_item(key, index=0, default=None, separator=",")

get_phonenumber

# Get phone number by key or keypath and return a dict with different formats (e164, international, national).
# If country code is specified (alpha 2 code), it will be used to parse phone number correctly.
d.get_phonenumber(key, country_code=None, default=None)

get_slug

# Get value by key or keypath trying to return it as slug.
# If choices and value is in choices return value otherwise default.
d.get_slug(key, default="", choices=[])

get_slug_list

# Get value by key or keypath trying to return it as list of slug values.
# If separator is specified and value is a string it will be splitted.
d.get_slug_list(key, default=[], separator=",")

get_str

# Get value by key or keypath trying to return it as string.
# Encoding issues will be automatically fixed.
# If choices and value is in choices return value otherwise default.
d.get_str(key, default="", choices=[])

get_str_list

# Get value by key or keypath trying to return it as list of str values.
# If separator is specified and value is a string it will be splitted.
d.get_str_list(key, default=[], separator=",")

get_uuid

# Get value by key or keypath trying to return it as valid uuid.
# If choices and value is in choices return value otherwise default.
d.get_uuid(key, default="", choices=[])

get_uuid_list

# Get value by key or keypath trying to return it as list of valid uuid values.
# If separator is specified and value is a string it will be splitted.
d.get_uuid_list(key, default=[], separator=",")

测试

# clone repository
git clone https://github.com/fabiocaccamo/python-benedict.git && cd python-benedict

# create virtualenv and activate it
python -m venv venv && . venv/bin/activate

# upgrade pip
python -m pip install --upgrade pip

# install requirements
pip install -r requirements.txt -r requirements-test.txt

# install pre-commit to run formatters and linters
pre-commit install --install-hooks

# run tests using tox
tox

# or run tests using unittest
python -m unittest

许可证

在 MIT 许可证 下发布。

支持

• :star: 在 GitHub 上星标此项目
• :octocat: 在 GitHub 上关注我
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• :moneybag: 在 Github 上赞助我

另请参阅

• python-fontbro - 在 fontTools 上进行友好的字体操作。

• python-fsutil - 为懒惰的开发者提供高级文件系统操作。