KCL Programming Language Python Lib
Project description
KCL Artifact Library for Python
Installation
python3 -m pip install kcl-lib
Quick Start
import kcl_lib.api as api
args = api.ExecProgram_Args(k_filename_list=["/path/to/kcl_file.k"])
api = api.API()
result = api.exec_program(args)
print(result.yaml_result)
Developing
Setup virtualenv:
python3 -m venv venv
Activate venv:
source venv/bin/activate
Install maturin:
cargo install maturin
Build bindings:
maturin develop
Test
python3 -m pytest
API Reference
exec_program
Execute KCL file with arguments and return the JSON/YAML result.
Example
The content of schema.k
is
schema AppConfig:
replicas: int
app: AppConfig {
replicas: 2
}
Python Code
import kcl_lib.api as api
args = api.ExecProgram_Args(k_filename_list=["schema.k"])
api = api.API()
result = api.exec_program(args)
assert result.yaml_result == "app:\n replicas: 2"
A case with the file not found error
Example
import kcl_lib.api as api
try:
args = api.ExecProgram_Args(k_filename_list=["file_not_found"])
api = api.API()
result = api.exec_program(args)
assert False
except Exception as err:
assert "Cannot find the kcl file" in str(err)
parse_file
Parse KCL single file to Module AST JSON string with import dependencies and parse errors.
Example
The content of schema.k
is
schema AppConfig:
replicas: int
app: AppConfig {
replicas: 2
}
Python Code
import kcl_lib.api as api
args = api.ParseParseFile_Args(path=TEST_FILE)
api = api.API()
result = api.parse_file(args)
parse_program
Parse KCL program with entry files and return the AST JSON string.
Example
The content of schema.k
is
schema AppConfig:
replicas: int
app: AppConfig {
replicas: 2
}
Python Code
import kcl_lib.api as api
args = api.ParseProgram_Args(paths=["schema.k"])
api = api.API()
result = api.parse_program(args)
assert len(result.paths) == 1
assert len(result.errors) == 0
load_package
load_package provides users with the ability to parse KCL program and semantic model information including symbols, types, definitions, etc.
Example
The content of schema.k
is
schema AppConfig:
replicas: int
app: AppConfig {
replicas: 2
}
Python Code
import kcl_lib.api as api
args = api.LoadPackage_Args(
parse_args=api.ParseProgram_Args(paths=["schema.k"]), resolve_ast=True
)
api = api.API()
result = api.load_package(args)
assert list(result.symbols.values())[0].ty.schema_name == "AppConfig"
list_variables
list_variables provides users with the ability to parse KCL program and get all variables by specs.
Example
The content of schema.k
is
schema AppConfig:
replicas: int
app: AppConfig {
replicas: 2
}
Python Code
import kcl_lib.api as api
args = api.ListVariables_Args(files=[TEST_FILE])
api = api.API()
result = api.list_variables(args)
list_options
list_options provides users with the ability to parse KCL program and get all option information.
Example
The content of options.k
is
a = option("key1")
b = option("key2", required=True)
c = {
metadata.key = option("metadata-key")
}
Python Code
import kcl_lib.api as api
args = api.ParseProgram_Args(paths=["options.k"])
api = api.API()
result = api.list_options(args)
assert len(result.options) == 3
assert result.options[0].name == "key1"
assert result.options[1].name == "key2"
assert result.options[2].name == "metadata-key"
get_schema_type_mapping
Get schema type mapping defined in the program.
Example
The content of schema.k
is
schema AppConfig:
replicas: int
app: AppConfig {
replicas: 2
}
Python Code
import kcl_lib.api as api
exec_args = api.ExecProgram_Args(k_filename_list=["schema.k"])
args = api.GetSchemaTypeMapping_Args(exec_args=exec_args)
api = api.API()
result = api.get_schema_type_mapping(args)
assert result.schema_type_mapping["app"].properties["replicas"].type == "int"
override_file
Override KCL file with arguments. See https://www.kcl-lang.io/docs/user_docs/guides/automation for more override spec guide.
Example
The content of main.k
is
a = 1
b = {
"a": 1
"b": 2
}
Python Code
import kcl_lib.api as api
import pathlib
test_file = "main.k"
args = api.OverrideFile_Args(
file=test_file,
specs=["b.a=2"],
)
api = api.API()
result = api.override_file(args)
assert len(result.parse_errors) == 0
assert result.result == True
assert pathlib.Path(test_file).read_text() == """\
a = 1
b = {
"a": 2
"b": 2
}
"""
format_code
Format the code source.
Example
Python Code
import kcl_lib.api as api
source_code = """\
schema Person:
name: str
age: int
check:
0 < age < 120
"""
args = api.FormatCode_Args(source=source_code)
api_instance = api.API()
result = api_instance.format_code(args)
assert (
result.formatted.decode()
== """\
schema Person:
name: str
age: int
check:
0 < age < 120
"""
)
format_path
Format KCL file or directory path contains KCL files and returns the changed file paths.
Example
The content of format_path.k
is
schema Person:
name: str
age: int
check:
0 < age < 120
Python Code
import kcl_lib.api as api
args = api.FormatPath_Args(path="format_path.k")
api_instance = api.API()
result = api_instance.format_path(args)
print(result)
lint_path
Lint files and return error messages including errors and warnings.
Example
The content of lint_path.k
is
import math
a = 1
Python Code
import kcl_lib.api as api
args = api.LintPath_Args(paths=["lint_path.k"])
api_instance = api.API()
result = api_instance.lint_path(args)
validate_code
Validate code using schema and JSON/YAML data strings.
Example
Python Code
import kcl_lib.api as api
code = """\
schema Person:
name: str
age: int
check:
0 < age < 120
"""
data = '{"name": "Alice", "age": 10}'
args = api.ValidateCode_Args(code=code, data=data, format="json")
api_instance = api.API()
result = api_instance.validate_code(args)
assert result.success == True
assert result.err_message == ""
rename
Rename all the occurrences of the target symbol in the files. This API will rewrite files if they contain symbols to be renamed. Return the file paths that got changed.
Example
The content of main.k
is
a = 1
b = a
Python Code
import kcl_lib.api as api
args = api.Rename_Args(
package_root=".",
symbol_path="a",
file_paths=["main.k"],
new_name="a2",
)
api_instance = api.API()
result = api_instance.rename(args)
rename_code
Rename all the occurrences of the target symbol and return the modified code if any code has been changed. This API won't rewrite files but return the changed code.
Example
Python Code
import kcl_lib.api as api
args = api.RenameCode_Args(
package_root="/mock/path",
symbol_path="a",
source_codes={"/mock/path/main.k": "a = 1\nb = a"},
new_name="a2",
)
api_instance = api.API()
result = api_instance.rename_code(args)
assert result.changed_codes["/mock/path/main.k"] == "a2 = 1\nb = a2"
test
Test KCL packages with test arguments.
Example
Python Code
import kcl_lib.api as api
args = api.Test_Args(
pkg_list=["path/to/testing/pkg/..."],
)
api_instance = api.API()
result = api_instance.test(args)
load_settings_files
Load the setting file config defined in kcl.yaml
Example
The content of kcl.yaml
is
kcl_cli_configs:
strict_range_check: true
kcl_options:
- key: key
value: value
Python Code
import kcl_lib.api as api
args = api.LoadSettingsFiles_Args(
work_dir=".", files=["kcl.yaml"]
)
api_instance = api.API()
result = api_instance.load_settings_files(args)
assert result.kcl_cli_configs.files == []
assert result.kcl_cli_configs.strict_range_check == True
assert (
result.kcl_options[0].key == "key" and result.kcl_options[0].value == '"value"'
)
update_dependencies
Download and update dependencies defined in the kcl.mod
file and return the external package name and location list.
Example
The content of module/kcl.mod
is
[package]
name = "mod_update"
edition = "0.0.1"
version = "0.0.1"
[dependencies]
helloworld = { oci = "oci://ghcr.io/kcl-lang/helloworld", tag = "0.1.0" }
flask = { git = "https://github.com/kcl-lang/flask-demo-kcl-manifests", commit = "ade147b" }
Python Code
import kcl_lib.api as api
args = api.UpdateDependencies_Args(
manifest_path="module"
)
api_instance = api.API()
result = api_instance.update_dependencies(args)
pkg_names = [pkg.pkg_name for pkg in result.external_pkgs]
assert len(pkg_names) == 2
assert "helloworld" in pkg_names
assert "flask" in pkg_names
Call exec_program
with external dependencies
Example
The content of module/kcl.mod
is
[package]
name = "mod_update"
edition = "0.0.1"
version = "0.0.1"
[dependencies]
helloworld = { oci = "oci://ghcr.io/kcl-lang/helloworld", tag = "0.1.0" }
flask = { git = "https://github.com/kcl-lang/flask-demo-kcl-manifests", commit = "ade147b" }
The content of module/main.k
is
import helloworld
import flask
a = helloworld.The_first_kcl_program
Python Code
import kcl_lib.api as api
args = api.UpdateDependencies_Args(
manifest_path="module"
)
api_instance = api.API()
result = api_instance.update_dependencies(args)
exec_args = api.ExecProgram_Args(
k_filename_list=["module/main.k"],
external_pkgs=result.external_pkgs,
)
result = api_instance.exec_program(exec_args)
assert result.yaml_result == "a: Hello World!"
get_version
Return the KCL service version information.
Example
Python Code
import kcl_lib.api as api
api_instance = api.API()
result = api_instance.get_version()
print(result.version_info)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
File details
Details for the file kcl_lib-0.10.7.tar.gz
.
File metadata
- Download URL: kcl_lib-0.10.7.tar.gz
- Upload date:
- Size: 54.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b7798b7589b546564d245f297a62dd2019176da93dd17b64f752182adf1bd529 |
|
MD5 | 16d7a6357a23ec5756288c1e148cf4ab |
|
BLAKE2b-256 | 3f4c687b3a1d5f19a4ece578822acd690c3bf7e94f0cb9e1b3b7386b08e987e3 |
File details
Details for the file kcl_lib-0.10.7-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 8.6 MB
- Tags: PyPy, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b2fc05d0a742077c6301101b203bf8c485d11319a722ac7c10c98068996ab641 |
|
MD5 | 387a17815fbb49763fd54c315e6820e2 |
|
BLAKE2b-256 | e2d73bfaa2f852c420abbab66f5b71795346266376aab658534d70742c413db0 |
File details
Details for the file kcl_lib-0.10.7-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 8.2 MB
- Tags: PyPy, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c0a1fe9bf04d7caf2b7b1e825ac60f36ec9cc8c758968993623a1a5e4fc1f0f1 |
|
MD5 | 58e52379ae5777d8ffd4fff067fe5560 |
|
BLAKE2b-256 | d0cecbd91c07a0dcff7f7c36a5e79666f3d19ee706e20f9a16ea5e57d97a99d1 |
File details
Details for the file kcl_lib-0.10.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 8.6 MB
- Tags: PyPy, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f70afd42b8359d2b79425fbdf4bcef6c847208fd951c7e31540610c1d7711853 |
|
MD5 | 0093fa843f95b0b7f7456075dd6947ae |
|
BLAKE2b-256 | 9463cdbc518eaf710422cdf599b05aeeb763e3981118f7147d2f9f9d8252d28b |
File details
Details for the file kcl_lib-0.10.7-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 8.2 MB
- Tags: PyPy, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2c0e7dc4967d129459285c8c5297b036da991da9d1f867a76c03debe4f6a79c6 |
|
MD5 | d6c332d006b9a5c7e93a930f5af9a349 |
|
BLAKE2b-256 | 56fcaeed4deff7c9d75180658f77f1c05f5192f7cc49d4515c0f61147a76eef5 |
File details
Details for the file kcl_lib-0.10.7-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 8.2 MB
- Tags: PyPy, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8fe82f9270c29214e063e2b6bb224a161e96bd6fb13fae25346f7d8c0c6d67b3 |
|
MD5 | 3c1e3b5cc6c784c6d0e8428f18adf236 |
|
BLAKE2b-256 | 4c6c9127e9301e6e3451d6988c8d54d7155f806024eb127c1b05582f26467802 |
File details
Details for the file kcl_lib-0.10.7-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 8.2 MB
- Tags: PyPy, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7322bc9efaeff09de15be05c6f853384567d239ac39a87502bb2d2c1a718dbcf |
|
MD5 | 7712320c00aac9928bd4e6b32ed6b484 |
|
BLAKE2b-256 | 2bb5eaae799dba92c78b359925be593b942aa59e600043d92c6e80cb85e81155 |
File details
Details for the file kcl_lib-0.10.7-cp312-none-win_amd64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp312-none-win_amd64.whl
- Upload date:
- Size: 7.1 MB
- Tags: CPython 3.12, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 32ccaa371cbda7ded336159c7a6b66354ee7f5f40ed78a2a524f893b0d8bed07 |
|
MD5 | a54bc14473ffbbcc543f3859ac362c52 |
|
BLAKE2b-256 | 9d3fa4759df1c4de7a8bbb6cd9423c1e57e2a79d187695472debca7e7dcdd282 |
File details
Details for the file kcl_lib-0.10.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 8.6 MB
- Tags: CPython 3.12, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e67ae67ba0ceae7748bf5cb8fe34cb117b34ca666e0fdd35785ce8242777e1d6 |
|
MD5 | 5ffa8c80e191ff18eb5d53b3ac812230 |
|
BLAKE2b-256 | f9c387c2580ba889886729f88e9cfe477934be66a47c3370860d4836c36b9731 |
File details
Details for the file kcl_lib-0.10.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 8.2 MB
- Tags: CPython 3.12, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5c613743be55587e7f9e51fae54c7f7507e456bfc4dc52634c8fe5f9d1f3214f |
|
MD5 | 9fa74703bc524681092f1bcc22dbd7bd |
|
BLAKE2b-256 | 4075d1f36f6934a7627798611e688b4a74579eed1f59e45c7cb1855fadb8831c |
File details
Details for the file kcl_lib-0.10.7-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp312-cp312-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
- Upload date:
- Size: 15.1 MB
- Tags: CPython 3.12, macOS 10.12+ universal2 (ARM64, x86-64), macOS 10.12+ x86-64, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 77bc8a77f9edeefb7231089e7d4e821f1a71a0ceadc6ac23bba4d527690c1a44 |
|
MD5 | 01a9fdc41d8014647afc2906cf750493 |
|
BLAKE2b-256 | 22e209d063356206b5f75b6363224e3b2af09198301ad16ef0f42c422f0170b6 |
File details
Details for the file kcl_lib-0.10.7-cp311-none-win_amd64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp311-none-win_amd64.whl
- Upload date:
- Size: 7.1 MB
- Tags: CPython 3.11, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | defe73311a0791b4e604595aa52c3acf35a1b32192abd52ed6a79e38c55d4beb |
|
MD5 | 796a5432f6bb89de01c64f4fed171c0c |
|
BLAKE2b-256 | dcf02f4c3751700260220223a240dd3728abb9c1bdd519449808ecb78a4f8f5f |
File details
Details for the file kcl_lib-0.10.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 8.6 MB
- Tags: CPython 3.11, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3ea40ea3b17bd040dbdc3a407dba7d2fcd7b0b618ff867237861f020a7e433a1 |
|
MD5 | 4437132d3ec2294f6b9aa0f75a3d41f9 |
|
BLAKE2b-256 | 5a250a2242d1cd9c78fec9ba03a514e9270f702ebbc53cc98f6171d809c6fcbf |
File details
Details for the file kcl_lib-0.10.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 8.2 MB
- Tags: CPython 3.11, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c70fdeeabe91497d9cde8e41b2040ae3996c8462c767a3f3948a3ae91eb88bba |
|
MD5 | 590c0722eb7c092a9764520a847c6c20 |
|
BLAKE2b-256 | b52fd9c1ec8aa2f4eb9aaed562f73ab336e976293e2e60cf405bf8e6709c93fe |
File details
Details for the file kcl_lib-0.10.7-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp311-cp311-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
- Upload date:
- Size: 15.1 MB
- Tags: CPython 3.11, macOS 10.12+ universal2 (ARM64, x86-64), macOS 10.12+ x86-64, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 11b2e5ff586bf53b96a2c88bc28cfdce8e58467cceab4120b46dfa77080122be |
|
MD5 | 0b11bcc7ebe37016f434e5fb773dec69 |
|
BLAKE2b-256 | 6da9c14ec10f7a092ac675164ee54e62e0789a99e66a6b2edb66f5b54e631f20 |
File details
Details for the file kcl_lib-0.10.7-cp310-none-win_amd64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp310-none-win_amd64.whl
- Upload date:
- Size: 7.1 MB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b1b6a09384bc015c59520fc355d1fa390a015f433fd920090332f3a186124185 |
|
MD5 | 62e9db8f39508fdb08946f32501f48ca |
|
BLAKE2b-256 | 9c274a22d19771facdb255de333b732516cbc1255043fc5db3a1140a7d194154 |
File details
Details for the file kcl_lib-0.10.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 8.6 MB
- Tags: CPython 3.10, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | aae7e7fb559a1cadb5f9a19d4f63a80dcf13a5b33bb4a1a5ffdb9df6bda58f49 |
|
MD5 | c5f0eae3dac60ae1af3f050af5866b3d |
|
BLAKE2b-256 | 3f77173c9e7cca6fb8883ccd5b302b18ebe3f64b733c7f72531d89176d19e9d2 |
File details
Details for the file kcl_lib-0.10.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 8.2 MB
- Tags: CPython 3.10, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 305a56fe55f43f6c87a1d8432618081f99af90ed7ebaf979dc5ae09c69ba7a35 |
|
MD5 | ddafc03a46fabf132180ee9980f662b0 |
|
BLAKE2b-256 | 6bbfa92fa9653e3f64d30bd684c85a78f44ab7e6a46db7c79cf8c2861c6b6223 |
File details
Details for the file kcl_lib-0.10.7-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp310-cp310-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
- Upload date:
- Size: 15.1 MB
- Tags: CPython 3.10, macOS 10.12+ universal2 (ARM64, x86-64), macOS 10.12+ x86-64, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8af4bbb24c2c6679ad2e077ec494cb4f387680301f15b0796747600f91c7ae43 |
|
MD5 | 1dccef1af500a04dd985af7365c24b27 |
|
BLAKE2b-256 | 7b56130fe1bded472289111e897d4888ebeaae83490a2f4575625c299d0fb874 |
File details
Details for the file kcl_lib-0.10.7-cp39-none-win_amd64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp39-none-win_amd64.whl
- Upload date:
- Size: 7.1 MB
- Tags: CPython 3.9, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6e9eecd8e9fde848a0e5c8923bd7de7022011084ed15ccfe1597cb6628cc2b27 |
|
MD5 | e9579a1f5401e9578916394ff0ef6557 |
|
BLAKE2b-256 | 2e6c1216ed4300ffdada7de6bd93577b2ba432bd0abe8a90acd2f7787b29590f |
File details
Details for the file kcl_lib-0.10.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 8.6 MB
- Tags: CPython 3.9, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 68fc8ae3a07a872c380418d1f891e18899737e327a07a5cc9f46611b344babbd |
|
MD5 | 604cd2f1b7c9406e78370fce45e87274 |
|
BLAKE2b-256 | e4d06f1f57ace5579ab3f2e24ee49d5b07bd37896376a67e1cdcfb5a25577c91 |
File details
Details for the file kcl_lib-0.10.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 8.2 MB
- Tags: CPython 3.9, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ab4adbf5c18a61864d271ae6f2f378a6b67fd49a7e56ed1c864028154b644cf5 |
|
MD5 | ee788bff3114ac209e81fe7f6a10adfd |
|
BLAKE2b-256 | 7656b069c49f240b11f3aca9c7a8cafaa1576785dcd2d275d49127feac45fa1a |
File details
Details for the file kcl_lib-0.10.7-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp39-cp39-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
- Upload date:
- Size: 15.1 MB
- Tags: CPython 3.9, macOS 10.12+ universal2 (ARM64, x86-64), macOS 10.12+ x86-64, macOS 11.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 20ddda3369eedf69a31b1b19877d690bb2dd6c27d1b1979be1e9de08576fb1c7 |
|
MD5 | cc0c639276dc2f71b183966ea8be6fc9 |
|
BLAKE2b-256 | 42d019ba3ede0ebd4d5997ef24148082d7d26e4110806c78e9038367de5c0b80 |
File details
Details for the file kcl_lib-0.10.7-cp38-none-win_amd64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp38-none-win_amd64.whl
- Upload date:
- Size: 7.1 MB
- Tags: CPython 3.8, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 757e1f016608c537a12be84e2ad09fb573c93803eae9a9e79324f786fa059c4d |
|
MD5 | 80afd139d57c6d5913097ea47e59e41c |
|
BLAKE2b-256 | 959e6dfd03586bd981fbca16af2602f61584e42f963035c9fb7716bb12507f17 |
File details
Details for the file kcl_lib-0.10.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 8.6 MB
- Tags: CPython 3.8, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b08faeeac9ae63d955f5c04b5d3995ad7fe2acfee053f09c445ee4de5acb5a75 |
|
MD5 | 5a1c4068b9b8b51a17a742ae4af9c859 |
|
BLAKE2b-256 | 9bc5b789fb6991bd4c9210dab4f3144cf74504b2a62ecee55f0b2e2299313466 |
File details
Details for the file kcl_lib-0.10.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 8.2 MB
- Tags: CPython 3.8, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5f0cad73446498f3d81d5fcc355bd2403ec351d9ec5b0ae64c4be552a6b4c702 |
|
MD5 | 9663389a06053ef5ae4a39372dffc702 |
|
BLAKE2b-256 | 390abfb4cb71e7dd0c324c7d9c06d16842f3e78421a184df82d6c05a956bfa0b |
File details
Details for the file kcl_lib-0.10.7-cp37-none-win_amd64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp37-none-win_amd64.whl
- Upload date:
- Size: 7.1 MB
- Tags: CPython 3.7, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | e1f90cecee341349f8880c409cd24d921451bfa66be2c23e5d5f9b2e8bb788eb |
|
MD5 | 46a672bdabe7d854e59ae3d2771cf6d0 |
|
BLAKE2b-256 | d9492d5f5c3352885645e5f056853075352b509d5211cff737c8298a9d9ed429 |
File details
Details for the file kcl_lib-0.10.7-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
- Upload date:
- Size: 8.6 MB
- Tags: CPython 3.7m, manylinux: glibc 2.17+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 26159716351a084b7713370fbf2b1cf2e73684bd34e965a1d7daf047b0e9831e |
|
MD5 | 6e8cce8f432db2a59ff48910fc1ee957 |
|
BLAKE2b-256 | 6c96c0379110f001efd46e3b46aa7c0d69ba96ae155fb8348e02d273d41eaf12 |
File details
Details for the file kcl_lib-0.10.7-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
.
File metadata
- Download URL: kcl_lib-0.10.7-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
- Upload date:
- Size: 8.2 MB
- Tags: CPython 3.7m, manylinux: glibc 2.17+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 83d92bf15cfb5a64ee0328c4bb57ae2dd318cf40b37afeb015b2394a4765c77c |
|
MD5 | e5f9abd048bd3f75b130b1f51ca379bb |
|
BLAKE2b-256 | 07f9ca5b21ed9488c75b39e976999a4694f16c1a90c304e1358acb5c97c11655 |