repo_full_name stringlengths 6 93 | repo_url stringlengths 25 112 | repo_api_url stringclasses 28
values | owner stringclasses 28
values | repo_name stringclasses 28
values | description stringclasses 28
values | stars int64 617 98.8k | forks int64 31 355 ⌀ | watchers int64 990 999 ⌀ | license stringclasses 2
values | default_branch stringclasses 2
values | repo_created_at timestamp[s]date 2012-07-24 23:12:50 2025-06-16 08:07:28 ⌀ | repo_updated_at timestamp[s]date 2026-02-23 15:23:15 2026-05-03 18:52:12 ⌀ | repo_topics listlengths 0 13 ⌀ | repo_languages unknown | is_fork bool 1
class | open_issues int64 3 104 ⌀ | file_path stringlengths 3 208 | file_name stringclasses 509
values | file_extension stringclasses 1
value | file_size_bytes int64 101 84k ⌀ | file_url stringclasses 627
values | file_raw_url stringclasses 627
values | file_sha stringclasses 624
values | language stringclasses 8
values | parsed_at stringdate 2026-05-04 01:12:36 2026-05-04 19:41:55 | text stringlengths 100 102k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/headers/test_content_security_policy.py | test_content_security_policy.py | .py | 1,280 | https://github.com/TypeError/secure/blob/main/tests/headers/test_content_security_policy.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/headers/test_content_security_policy.py | a9f8d8620818d9245083b65aaa2bb87bdc2a677c | Python | 2026-05-04T01:20:25.487779 | import unittest
from secure.headers import ContentSecurityPolicy
from secure.headers.base_header import HeaderDefaultValue
class TestContentSecurityPolicy(unittest.TestCase):
def test_default_csp(self):
"""Test default Content-Security-Policy header."""
csp = ContentSecurityPolicy()
self.... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/headers/test_cross_origin_embedder_policy.py | test_cross_origin_embedder_policy.py | .py | 1,681 | https://github.com/TypeError/secure/blob/main/tests/headers/test_cross_origin_embedder_policy.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/headers/test_cross_origin_embedder_policy.py | 583079652cc628307f59e348668d640d6a8a5dc6 | Python | 2026-05-04T01:20:26.708442 | import unittest
from secure.headers import CrossOriginEmbedderPolicy
from secure.headers.base_header import HeaderDefaultValue
class TestCrossOriginEmbedderPolicy(unittest.TestCase):
def test_default_value(self) -> None:
"""Default COEP should be `require-corp`."""
policy = CrossOriginEmbedderPol... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/headers/test_cross_origin_opener_policy.py | test_cross_origin_opener_policy.py | .py | 1,460 | https://github.com/TypeError/secure/blob/main/tests/headers/test_cross_origin_opener_policy.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/headers/test_cross_origin_opener_policy.py | 8a3d478270bd6d761b943ffdd3c77e8371661c43 | Python | 2026-05-04T01:20:28.016291 | import unittest
from secure.headers import CrossOriginOpenerPolicy
class TestCrossOriginOpenerPolicy(unittest.TestCase):
def test_default_coop(self):
"""Test default Cross-Origin-Opener-Policy header."""
coop = CrossOriginOpenerPolicy()
self.assertEqual(coop.header_value, "same-origin")
... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/headers/test_custom_header.py | test_custom_header.py | .py | 1,056 | https://github.com/TypeError/secure/blob/main/tests/headers/test_custom_header.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/headers/test_custom_header.py | 0c7eb59c4aaeb13c3d6987bda968d6a3061613f8 | Python | 2026-05-04T01:20:29.337582 | import unittest
from secure.headers import CustomHeader
class TestCustomHeader(unittest.TestCase):
def test_custom_header_initialization(self):
"""Test initialization of a custom header with name and value."""
custom_header = CustomHeader("X-Custom-Header", "custom-value")
self.assertEqua... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/headers/test_header_contracts_extended.py | test_header_contracts_extended.py | .py | 11,674 | https://github.com/TypeError/secure/blob/main/tests/headers/test_header_contracts_extended.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/headers/test_header_contracts_extended.py | fa426abf889c4c92c9c4ad7861579e84db18ebca | Python | 2026-05-04T01:20:32.142268 | from collections.abc import Callable
from dataclasses import dataclass
from typing import ClassVar
import unittest
from secure.headers import (
CacheControl,
ContentSecurityPolicy,
CrossOriginEmbedderPolicy,
CrossOriginOpenerPolicy,
CrossOriginResourcePolicy,
CustomHeader,
PermissionsPolicy... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/headers/test_permissions_policy.py | test_permissions_policy.py | .py | 1,241 | https://github.com/TypeError/secure/blob/main/tests/headers/test_permissions_policy.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/headers/test_permissions_policy.py | c7df34118919853f13b1de0694548c6027bf93c7 | Python | 2026-05-04T01:20:33.549436 | import unittest
from secure.headers import PermissionsPolicy
class TestPermissionsPolicy(unittest.TestCase):
def test_default_permissions_policy(self):
"""Test the default Permissions-Policy header."""
policy = PermissionsPolicy()
self.assertEqual(
policy.header_value,
... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/headers/test_referrer_policy.py | test_referrer_policy.py | .py | 2,864 | https://github.com/TypeError/secure/blob/main/tests/headers/test_referrer_policy.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/headers/test_referrer_policy.py | a625ab9118f865832bab8135b608bd910405753b | Python | 2026-05-04T01:20:34.802726 | import unittest
from secure.headers import ReferrerPolicy
class TestReferrerPolicy(unittest.TestCase):
def test_default_referrer_policy(self):
"""Test default Referrer-Policy header."""
referrer_policy = ReferrerPolicy()
self.assertEqual(referrer_policy.header_value, "strict-origin-when-c... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/headers/test_server.py | test_server.py | .py | 759 | https://github.com/TypeError/secure/blob/main/tests/headers/test_server.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/headers/test_server.py | b6888c1132359903514f1c7e99efbe0524844b9c | Python | 2026-05-04T01:20:36.104964 | import unittest
from secure.headers import Server
class TestServerHeader(unittest.TestCase):
def test_default_server(self):
"""Test default Server header value."""
server_header = Server()
self.assertEqual(server_header.header_value, "")
def test_set_custom_server(self):
"""T... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/headers/test_strict_transport_security.py | test_strict_transport_security.py | .py | 1,087 | https://github.com/TypeError/secure/blob/main/tests/headers/test_strict_transport_security.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/headers/test_strict_transport_security.py | 4ea0dec559bf59cc3a8a27e6eab6a32cc862586d | Python | 2026-05-04T01:20:37.244497 | import unittest
from secure.headers import StrictTransportSecurity
class TestStrictTransportSecurity(unittest.TestCase):
def test_default_hsts(self):
"""Test default Strict-Transport-Security header."""
hsts = StrictTransportSecurity()
self.assertEqual(hsts.header_name, "Strict-Transport-... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/headers/test_x_content_type_options.py | test_x_content_type_options.py | .py | 1,162 | https://github.com/TypeError/secure/blob/main/tests/headers/test_x_content_type_options.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/headers/test_x_content_type_options.py | b07f2dac621b3fea7c876db756956e9c89945f97 | Python | 2026-05-04T01:20:38.460639 | import unittest
from secure.headers import XContentTypeOptions
class TestXContentTypeOptions(unittest.TestCase):
def test_default_x_content_type_options(self):
"""Test default X-Content-Type-Options header."""
x_content_type_options = XContentTypeOptions()
self.assertEqual(x_content_type_... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/headers/test_x_frame_options.py | test_x_frame_options.py | .py | 722 | https://github.com/TypeError/secure/blob/main/tests/headers/test_x_frame_options.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/headers/test_x_frame_options.py | 91d8f9a941f506b2e66166a529d394290245f1f5 | Python | 2026-05-04T01:20:39.688914 | import unittest
from secure.headers import XFrameOptions
class TestXFrameOptions(unittest.TestCase):
def test_default_x_frame_options(self):
"""Test default X-Frame-Options value (SAMEORIGIN)."""
xfo = XFrameOptions()
self.assertEqual(xfo.header_value, "SAMEORIGIN")
def test_set_deny... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/middleware/test_middleware.py | test_middleware.py | .py | 6,038 | https://github.com/TypeError/secure/blob/main/tests/middleware/test_middleware.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/middleware/test_middleware.py | 13fc47d3c723da11b48b343f5a01113412bc1960 | Python | 2026-05-04T01:20:41.019124 | import asyncio
from typing import Any, Literal, TypedDict, cast
from secure import CustomHeader, Secure
from secure.middleware import SecureASGIMiddleware, SecureWSGIMiddleware
def _find_header_values(headers: list[tuple[str, str]], name: str) -> list[str]:
lc = name.lower()
return [value for key, value in h... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/middleware/test_secure_protocols.py | test_secure_protocols.py | .py | 2,067 | https://github.com/TypeError/secure/blob/main/tests/middleware/test_secure_protocols.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/middleware/test_secure_protocols.py | 98e1c25cdb73f14e983c769d86ab7e020b0f15df | Python | 2026-05-04T01:20:42.352156 | import asyncio
from typing import TYPE_CHECKING
import unittest
from secure import CustomHeader, Secure
if TYPE_CHECKING:
from collections.abc import MutableMapping
class HeadersOnlyResponse:
def __init__(self) -> None:
self.headers: MutableMapping[str, str] = {}
class SetHeaderResponse:
def _... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/secure_tests/test_exports.py | test_exports.py | .py | 2,140 | https://github.com/TypeError/secure/blob/main/tests/secure_tests/test_exports.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/secure_tests/test_exports.py | 9434783461d60191a0209a2a1586e0fa9d0ecd17 | Python | 2026-05-04T01:20:43.683093 | import unittest
import secure
import secure.headers
import secure.middleware
class TestExportSurface(unittest.TestCase):
def test_secure_package_exports(self) -> None:
expected = {
"COMMA_JOIN_OK",
"DEFAULT_ALLOWED_HEADERS",
"MULTI_OK",
"CacheControl",
... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/secure_tests/test_headers.py | test_headers.py | .py | 5,086 | https://github.com/TypeError/secure/blob/main/tests/secure_tests/test_headers.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/secure_tests/test_headers.py | fee88849d25895604e6710cb57fae9a28bbcbd85 | Python | 2026-05-04T01:20:45.020686 | import unittest
from secure.headers import (
CacheControl,
ContentSecurityPolicy,
CrossOriginEmbedderPolicy,
CrossOriginOpenerPolicy,
CrossOriginResourcePolicy,
CustomHeader,
PermissionsPolicy,
ReferrerPolicy,
Server,
StrictTransportSecurity,
XContentTypeOptions,
XDnsPre... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/secure_tests/test_internal_helpers.py | test_internal_helpers.py | .py | 2,930 | https://github.com/TypeError/secure/blob/main/tests/secure_tests/test_internal_helpers.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/secure_tests/test_internal_helpers.py | a3bf6d28252e7b4457292b289366d483537add33 | Python | 2026-05-04T01:20:46.244778 | import asyncio
import unittest
from unittest import mock
from secure import DEFAULT_ALLOWED_HEADERS, MULTI_OK
from secure._internal.emit import set_headers_async
from secure._internal.normalize import normalize_header_items
from secure._internal.policy import allowlist_header_objects, deduplicate_header_objects
from s... |
TypeError/secure | https://github.com/TypeError/secure | https://api.github.com/repos/TypeError/secure | TypeError | secure | Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more). | 993 | 31 | 993 | mit | main | 2018-11-27T00:59:09 | 2026-05-02T04:21:58 | [
"asgi",
"content-security-policy",
"django",
"fastapi",
"flask",
"http-headers",
"python",
"security",
"security-headers",
"shiny",
"strict-transport-security",
"web-security",
"wsgi"
] | {
"Python": 230402
} | false | 4 | tests/secure_tests/test_secure.py | test_secure.py | .py | 31,352 | https://github.com/TypeError/secure/blob/main/tests/secure_tests/test_secure.py | https://raw.githubusercontent.com/TypeError/secure/main/tests/secure_tests/test_secure.py | 58ac70a59ddc3eb644a2e50e92ee374f9f180f6b | Python | 2026-05-04T01:20:47.655275 | import asyncio
from collections.abc import Awaitable, Callable, Generator
import unittest
import secure as secure_pkg
from secure import (
ContentSecurityPolicy,
CustomHeader,
Preset,
Secure,
Server,
StrictTransportSecurity,
)
from secure.secure import (
COMMA_JOIN_OK,
DEFAULT_ALLOWED_H... |
fla-org/native-sparse-attention | https://github.com/fla-org/native-sparse-attention | https://api.github.com/repos/fla-org/native-sparse-attention | fla-org | native-sparse-attention | 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention" | 993 | 52 | 993 | mit | main | 2025-02-21T18:27:44 | 2026-04-28T13:00:38 | [] | {
"Python": 142367,
"Shell": 2847
} | false | 5 | benchmarks/benchmark_nsa.py | benchmark_nsa.py | .py | 3,150 | https://github.com/fla-org/native-sparse-attention/blob/main/benchmarks/benchmark_nsa.py | https://raw.githubusercontent.com/fla-org/native-sparse-attention/main/benchmarks/benchmark_nsa.py | 8b55b28b86ad77db906b56632bcef50d57d4e70b | Python | 2026-05-04T01:20:51.772497 | # -*- coding: utf-8 -*-
import torch
import triton
from flash_attn import flash_attn_func
from native_sparse_attention.ops.parallel import parallel_nsa
@triton.testing.perf_report(
triton.testing.Benchmark(
# argument names to use as an x-axis for the plot
x_names=['T'],
# different poss... |
fla-org/native-sparse-attention | https://github.com/fla-org/native-sparse-attention | https://api.github.com/repos/fla-org/native-sparse-attention | fla-org | native-sparse-attention | 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention" | 993 | 52 | 993 | mit | main | 2025-02-21T18:27:44 | 2026-04-28T13:00:38 | [] | {
"Python": 142367,
"Shell": 2847
} | false | 5 | native_sparse_attention/__init__.py | __init__.py | .py | 551 | https://github.com/fla-org/native-sparse-attention/blob/main/native_sparse_attention/__init__.py | https://raw.githubusercontent.com/fla-org/native-sparse-attention/main/native_sparse_attention/__init__.py | 331ed06cabd42b6ba99155cf359cf8e5a4f54d31 | Python | 2026-05-04T01:20:53.000550 | # -*- coding: utf-8 -*-
from transformers import AutoConfig, AutoModel, AutoModelForCausalLM
from native_sparse_attention.configuration_nsa import NSAConfig
from native_sparse_attention.modeling_nsa import NSAForCausalLM, NSAModel
from native_sparse_attention.ops.parallel import parallel_nsa
AutoConfig.register(NSAC... |
fla-org/native-sparse-attention | https://github.com/fla-org/native-sparse-attention | https://api.github.com/repos/fla-org/native-sparse-attention | fla-org | native-sparse-attention | 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention" | 993 | 52 | 993 | mit | main | 2025-02-21T18:27:44 | 2026-04-28T13:00:38 | [] | {
"Python": 142367,
"Shell": 2847
} | false | 5 | native_sparse_attention/configuration_nsa.py | configuration_nsa.py | .py | 2,391 | https://github.com/fla-org/native-sparse-attention/blob/main/native_sparse_attention/configuration_nsa.py | https://raw.githubusercontent.com/fla-org/native-sparse-attention/main/native_sparse_attention/configuration_nsa.py | f4d9de31e3feb49ff20cd3d06143d05ca41eb6c6 | Python | 2026-05-04T01:20:54.230377 | # -*- coding: utf-8 -*-
from typing import Optional
from transformers.configuration_utils import PretrainedConfig
class NSAConfig(PretrainedConfig):
model_type = 'nsa'
keys_to_ignore_at_inference = ['past_key_values']
def __init__(
self,
hidden_size: int = 2048,
num_hidden_laye... |
fla-org/native-sparse-attention | https://github.com/fla-org/native-sparse-attention | https://api.github.com/repos/fla-org/native-sparse-attention | fla-org | native-sparse-attention | 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention" | 993 | 52 | 993 | mit | main | 2025-02-21T18:27:44 | 2026-04-28T13:00:38 | [] | {
"Python": 142367,
"Shell": 2847
} | false | 5 | native_sparse_attention/modeling_nsa.py | modeling_nsa.py | .py | 21,760 | https://github.com/fla-org/native-sparse-attention/blob/main/native_sparse_attention/modeling_nsa.py | https://raw.githubusercontent.com/fla-org/native-sparse-attention/main/native_sparse_attention/modeling_nsa.py | 3a63c31d7f027da4e58d4b95b20c727848df007d | Python | 2026-05-04T01:20:55.770975 | # -*- coding: utf-8 -*-
from __future__ import annotations
import math
import warnings
from typing import TYPE_CHECKING, Dict, List, Optional, Tuple, Union
import torch
import torch.nn as nn
import torch.utils.checkpoint
from einops import rearrange
from transformers.generation import GenerationMixin
from transforme... |
fla-org/native-sparse-attention | https://github.com/fla-org/native-sparse-attention | https://api.github.com/repos/fla-org/native-sparse-attention | fla-org | native-sparse-attention | 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention" | 993 | 52 | 993 | mit | main | 2025-02-21T18:27:44 | 2026-04-28T13:00:38 | [] | {
"Python": 142367,
"Shell": 2847
} | false | 5 | native_sparse_attention/ops/__init__.py | __init__.py | .py | 141 | https://github.com/fla-org/native-sparse-attention/blob/main/native_sparse_attention/ops/__init__.py | https://raw.githubusercontent.com/fla-org/native-sparse-attention/main/native_sparse_attention/ops/__init__.py | 591b81438fbd7687f906cedb4a9be7ac45c1cf3d | Python | 2026-05-04T01:20:56.995240 | # -*- coding: utf-8 -*-
from .naive import naive_nsa
from .parallel import parallel_nsa
__all__ = [
'naive_nsa',
'parallel_nsa',
]
|
fla-org/native-sparse-attention | https://github.com/fla-org/native-sparse-attention | https://api.github.com/repos/fla-org/native-sparse-attention | fla-org | native-sparse-attention | 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention" | 993 | 52 | 993 | mit | main | 2025-02-21T18:27:44 | 2026-04-28T13:00:38 | [] | {
"Python": 142367,
"Shell": 2847
} | false | 5 | native_sparse_attention/ops/naive.py | naive.py | .py | 15,739 | https://github.com/fla-org/native-sparse-attention/blob/main/native_sparse_attention/ops/naive.py | https://raw.githubusercontent.com/fla-org/native-sparse-attention/main/native_sparse_attention/ops/naive.py | e58428515cc5cb28b6526d2c8e836892ffc8032b | Python | 2026-05-04T01:20:58.736130 | # -*- coding: utf-8 -*-
# Copyright (c) 2023-2025, Songlin Yang, Yu Zhang
import math
from typing import Optional, Union
import torch
import torch.nn.functional as F
from einops import rearrange, repeat
@torch.compile
def compression(
k: torch.Tensor,
v: torch.Tensor,
block_size: int
) -> torch.Tensor:
... |
fla-org/native-sparse-attention | https://github.com/fla-org/native-sparse-attention | https://api.github.com/repos/fla-org/native-sparse-attention | fla-org | native-sparse-attention | 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention" | 993 | 52 | 993 | mit | main | 2025-02-21T18:27:44 | 2026-04-28T13:00:38 | [] | {
"Python": 142367,
"Shell": 2847
} | false | 5 | native_sparse_attention/ops/parallel.py | parallel.py | .py | 44,368 | https://github.com/fla-org/native-sparse-attention/blob/main/native_sparse_attention/ops/parallel.py | https://raw.githubusercontent.com/fla-org/native-sparse-attention/main/native_sparse_attention/ops/parallel.py | e3bfff926c32906ab13fb7650a339d3605ab7fb9 | Python | 2026-05-04T01:21:00.886463 | # -*- coding: utf-8 -*-
# Copyright (c) 2023-2025, Songlin Yang, Yu Zhang
import warnings
from typing import Optional, Union
import torch
import triton
import triton.language as tl
from einops import rearrange
from fla.ops.common.utils import prepare_chunk_indices, prepare_chunk_offsets, prepare_lens, prepare_token_... |
fla-org/native-sparse-attention | https://github.com/fla-org/native-sparse-attention | https://api.github.com/repos/fla-org/native-sparse-attention | fla-org | native-sparse-attention | 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention" | 993 | 52 | 993 | mit | main | 2025-02-21T18:27:44 | 2026-04-28T13:00:38 | [] | {
"Python": 142367,
"Shell": 2847
} | false | 5 | native_sparse_attention/ops/utils.py | utils.py | .py | 3,260 | https://github.com/fla-org/native-sparse-attention/blob/main/native_sparse_attention/ops/utils.py | https://raw.githubusercontent.com/fla-org/native-sparse-attention/main/native_sparse_attention/ops/utils.py | bc0a389cb74021c3f44516fb33bb76c336486f34 | Python | 2026-05-04T01:21:02.218227 | # -*- coding: utf-8 -*-
# Copyright (c) 2023-2025, Songlin Yang, Yu Zhang
# Implements argsort based on bitonic sort.
# [What is bitonic sort?](https://en.wikipedia.org/wiki/Bitonic_sorter)
# Code adapted from https://github.com/triton-lang/triton/issues/3698#issuecomment-2067681396
import triton
import triton.langu... |
fla-org/native-sparse-attention | https://github.com/fla-org/native-sparse-attention | https://api.github.com/repos/fla-org/native-sparse-attention | fla-org | native-sparse-attention | 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention" | 993 | 52 | 993 | mit | main | 2025-02-21T18:27:44 | 2026-04-28T13:00:38 | [] | {
"Python": 142367,
"Shell": 2847
} | false | 5 | setup.py | setup.py | .py | 1,417 | https://github.com/fla-org/native-sparse-attention/blob/main/setup.py | https://raw.githubusercontent.com/fla-org/native-sparse-attention/main/setup.py | 95d41121dc16d03686d5e2c13764f4b76ea12b56 | Python | 2026-05-04T01:21:03.851155 | # -*- coding: utf-8 -*-
import ast
import os
import re
from pathlib import Path
from setuptools import find_packages, setup
with open('README.md') as f:
long_description = f.read()
def get_package_version():
with open(Path(os.path.dirname(os.path.abspath(__file__))) / 'native_sparse_attention' / '__init__.... |
fla-org/native-sparse-attention | https://github.com/fla-org/native-sparse-attention | https://api.github.com/repos/fla-org/native-sparse-attention | fla-org | native-sparse-attention | 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention" | 993 | 52 | 993 | mit | main | 2025-02-21T18:27:44 | 2026-04-28T13:00:38 | [] | {
"Python": 142367,
"Shell": 2847
} | false | 5 | tests/test_nsa.py | test_nsa.py | .py | 7,649 | https://github.com/fla-org/native-sparse-attention/blob/main/tests/test_nsa.py | https://raw.githubusercontent.com/fla-org/native-sparse-attention/main/tests/test_nsa.py | c94c90907dac1067ff9e49c0a75bcd11f0b9f397 | Python | 2026-05-04T01:21:05.597088 | # -*- coding: utf-8 -*-
import os
import pytest
import torch
import triton
from fla.ops.common.utils import prepare_token_indices
from native_sparse_attention.ops.naive import naive_nsa
from native_sparse_attention.ops.parallel import parallel_nsa
def get_abs_err(x, y):
return (x-y).flatten().abs().max().item(... |
fla-org/native-sparse-attention | https://github.com/fla-org/native-sparse-attention | https://api.github.com/repos/fla-org/native-sparse-attention | fla-org | native-sparse-attention | 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention" | 993 | 52 | 993 | mit | main | 2025-02-21T18:27:44 | 2026-04-28T13:00:38 | [] | {
"Python": 142367,
"Shell": 2847
} | false | 5 | tests/test_nsa_with_compression.py | test_nsa_with_compression.py | .py | 6,754 | https://github.com/fla-org/native-sparse-attention/blob/main/tests/test_nsa_with_compression.py | https://raw.githubusercontent.com/fla-org/native-sparse-attention/main/tests/test_nsa_with_compression.py | 0a884ad9a60fbffe43fe7ee77e51cb3c7b91ef5d | Python | 2026-05-04T01:21:07.132739 | # -*- coding: utf-8 -*-
import os
import pytest
import torch
from native_sparse_attention.ops.naive import naive_nsa_with_compression
from native_sparse_attention.ops.parallel import parallel_nsa_with_compression
def get_abs_err(x, y):
return (x-y).flatten().abs().max().item()
def get_err_ratio(x, y):
er... |
fla-org/native-sparse-attention | https://github.com/fla-org/native-sparse-attention | https://api.github.com/repos/fla-org/native-sparse-attention | fla-org | native-sparse-attention | 🐳 Efficient Triton implementations for "Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention" | 993 | 52 | 993 | mit | main | 2025-02-21T18:27:44 | 2026-04-28T13:00:38 | [] | {
"Python": 142367,
"Shell": 2847
} | false | 5 | train.py | train.py | .py | 35,187 | https://github.com/fla-org/native-sparse-attention/blob/main/train.py | https://raw.githubusercontent.com/fla-org/native-sparse-attention/main/train.py | 67cfba5c6e2c1f70598853608ad0b753e2558081 | Python | 2026-05-04T01:21:08.877691 | # Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import json
import os
import time
from datetime import timedelta
import torch
from datasets import interleave_... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/learning/batcher.py | batcher.py | .py | 11,281 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/learning/batcher.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/learning/batcher.py | d94e621a0ea84f6db4a34e17248feb429d7b8245 | Python | 2026-05-04T01:21:13.482569 | import random
from typing import Dict, Iterable, List, Optional, Tuple
import torch
from signal_slot.signal_slot import EventLoop, signal
from sample_factory.algo.utils.env_info import EnvInfo
from sample_factory.algo.utils.heartbeat import HeartbeatStoppableEventLoopObject
from sample_factory.algo.utils.shared_buffe... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/learning/learner.py | learner.py | .py | 48,659 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/learning/learner.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/learning/learner.py | c5e509366c2ad5fc8e3ef0c9da683146507d4e39 | Python | 2026-05-04T01:21:15.129015 | from __future__ import annotations
import glob
import os
import time
from abc import ABC, abstractmethod
from os.path import join
from typing import Callable, Dict, Optional, Tuple
import numpy as np
import torch
from torch import Tensor
from torch.nn import Module
from sample_factory.algo.learning.rnn_utils import ... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/learning/learner_worker.py | learner_worker.py | .py | 5,691 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/learning/learner_worker.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/learning/learner_worker.py | cb2ded364887baf35113564e14c532b376aa6e79 | Python | 2026-05-04T01:21:17.904462 | from __future__ import annotations
import os
from threading import Thread
from typing import Dict, Optional
import psutil
import torch
from signal_slot.signal_slot import EventLoop, Timer, signal
from torch import Tensor
from sample_factory.algo.learning.batcher import Batcher
from sample_factory.algo.learning.learn... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/learning/rnn_utils.py | rnn_utils.py | .py | 6,962 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/learning/rnn_utils.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/learning/rnn_utils.py | 5c5c73a3eb86df34eef8dfc9c170241245cf4d61 | Python | 2026-05-04T01:21:19.235559 | from typing import Tuple
import torch
# noinspection PyPep8Naming
from torch.nn.utils.rnn import PackedSequence, invert_permutation
from sample_factory.utils.utils import log
def _build_pack_info_from_dones(
dones: torch.Tensor, T: int
) -> Tuple[torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor, torch.Te... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/runners/runner.py | runner.py | .py | 32,480 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/runners/runner.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/runners/runner.py | de8b0fb002f362088fa2baffa56ea056d8a32c8f | Python | 2026-05-04T01:21:20.710203 | from __future__ import annotations
import json
import math
import shutil
import time
from collections import OrderedDict, deque
from os.path import isdir, join
from typing import Any, Callable, Deque, Dict, List, Optional, Tuple
import numpy as np
from signal_slot.signal_slot import EventLoop, EventLoopObject, EventL... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/runners/runner_parallel.py | runner_parallel.py | .py | 2,369 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/runners/runner_parallel.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/runners/runner_parallel.py | b16f190da771c489712ebd2ddcc741239d90f487 | Python | 2026-05-04T01:21:23.327908 | from typing import List
from signal_slot.signal_slot import EventLoop, EventLoopProcess
from sample_factory.algo.learning.learner_worker import init_learner_process
from sample_factory.algo.runners.runner import Runner
from sample_factory.algo.sampling.sampler import ParallelSampler
from sample_factory.algo.utils.con... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/runners/runner_serial.py | runner_serial.py | .py | 1,154 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/runners/runner_serial.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/runners/runner_serial.py | ad99a8b2252a64278f2fa42aa35433ff7f3d3794 | Python | 2026-05-04T01:21:24.643427 | from sample_factory.algo.runners.runner import Runner
from sample_factory.algo.sampling.sampler import SerialSampler
from sample_factory.algo.utils.misc import ExperimentStatus
from sample_factory.algo.utils.torch_utils import init_torch_runtime
from sample_factory.utils.typing import StatusCode
class SerialRunner(Ru... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/sampling/batched_sampling.py | batched_sampling.py | .py | 17,686 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/sampling/batched_sampling.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/sampling/batched_sampling.py | 185de4e7b000be5f12501e7ef2cd98decf30c032 | Python | 2026-05-04T01:21:26.183085 | from __future__ import annotations
import numbers
from queue import Empty
from typing import Dict, List, Optional, Tuple
import gymnasium as gym
import numpy as np
import torch
from torch import Tensor
from sample_factory.algo.sampling.sampling_utils import VectorEnvRunner, record_episode_statistics_wrapper_stats
fr... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/sampling/evaluation_sampling_api.py | evaluation_sampling_api.py | .py | 13,394 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/sampling/evaluation_sampling_api.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/sampling/evaluation_sampling_api.py | 7524b1b25ffb81c75bca80123c18b472941bc99b | Python | 2026-05-04T01:21:27.616123 | from __future__ import annotations
import math
import time
from collections import OrderedDict
from threading import Thread
from typing import Callable, Dict, Iterable, List, Optional, Tuple
import numpy as np
from signal_slot.signal_slot import EventLoop, EventLoopObject, EventLoopStatus, signal
from torch import Te... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/sampling/inference_worker.py | inference_worker.py | .py | 17,069 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/sampling/inference_worker.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/sampling/inference_worker.py | 3a122fa8421ce20f4302a5182b88b4dea4c02303 | Python | 2026-05-04T01:21:28.902276 | from __future__ import annotations
import copy
import os
import time
from collections import deque
from queue import Empty
from typing import Callable, Dict, List, Optional, Tuple
import numpy as np
import psutil
import torch
from signal_slot.signal_slot import TightLoop, Timer, signal
from sample_factory.algo.utils... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/sampling/non_batched_sampling.py | non_batched_sampling.py | .py | 31,367 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/sampling/non_batched_sampling.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/sampling/non_batched_sampling.py | 54b26b85f3c419e82e3fcfb5a719febc199572a6 | Python | 2026-05-04T01:21:30.379150 | from __future__ import annotations
import random
from queue import Empty
from typing import Any, Dict, List, Optional, Tuple
import gymnasium as gym
import numpy as np
from sample_factory.algo.sampling.sampling_utils import VectorEnvRunner, record_episode_statistics_wrapper_stats
from sample_factory.algo.utils.agent... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/sampling/rollout_worker.py | rollout_worker.py | .py | 14,913 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/sampling/rollout_worker.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/sampling/rollout_worker.py | f32dc1bf116eff23c1cd0a82e22c33ee0c665c44 | Python | 2026-05-04T01:21:31.881257 | from __future__ import annotations
import os
import time
from typing import Any, Dict, List, Optional
import psutil
import torch
from signal_slot.signal_slot import signal
from sample_factory.algo.sampling.batched_sampling import BatchedVectorEnvRunner
from sample_factory.algo.sampling.non_batched_sampling import No... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/sampling/sampler.py | sampler.py | .py | 12,914 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/sampling/sampler.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/sampling/sampler.py | 23dbd3a2a7746ed5a0cd4306a706038363226350 | Python | 2026-05-04T01:21:33.398810 | from abc import ABC
from typing import Callable, Dict, List
from signal_slot.queue_utils import get_queue
from signal_slot.signal_slot import BoundMethod, EventLoop, EventLoopObject, EventLoopProcess, signal
from sample_factory.algo.sampling.inference_worker import InferenceWorker, init_inference_process
from sample_... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/sampling/sampling_utils.py | sampling_utils.py | .py | 2,773 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/sampling/sampling_utils.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/sampling/sampling_utils.py | 31345f04e6a9a56708004706d12fcd31f5bffe14 | Python | 2026-05-04T01:21:34.781612 | from __future__ import annotations
from typing import Dict, List, Optional, Tuple
import torch
from sample_factory.algo.utils.env_info import EnvInfo
from sample_factory.cfg.configurable import Configurable
from sample_factory.utils.attr_dict import AttrDict
from sample_factory.utils.gpu_utils import gpus_for_proces... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/sampling/stats.py | stats.py | .py | 1,319 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/sampling/stats.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/sampling/stats.py | f8271dc67c35d6798396c39202c6059e09754984 | Python | 2026-05-04T01:21:36.024723 | """
Some reusable code for stats collection.
StatsObservers are usually "Runner" objects, but they can be anything that can accumulate stats,
see evaluation_sampling_api.py for an example of a custom stats observer.
"""
from collections import deque
from typing import Any
from sample_factory.algo.utils.misc import SA... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/sampling/sync_sampling_api.py | sync_sampling_api.py | .py | 2,754 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/sampling/sync_sampling_api.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/sampling/sync_sampling_api.py | 5a92420891a0a3c03542c817cd4ec677b981ed93 | Python | 2026-05-04T01:21:37.457293 | from __future__ import annotations
from queue import Empty, Full, Queue
from threading import Thread
from typing import Dict, Iterable, Optional
from sample_factory.algo.sampling.evaluation_sampling_api import SamplingLoop
from sample_factory.algo.utils.env_info import EnvInfo
from sample_factory.algo.utils.model_sha... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/action_distributions.py | action_distributions.py | .py | 12,169 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/action_distributions.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/action_distributions.py | b279aeb3ab8b35a17d92e4e8c1eb53a4c0c5d9aa | Python | 2026-05-04T01:21:38.818518 | import math
import gymnasium as gym
import numpy as np
import torch
from torch import Tensor
from torch.distributions import Independent, Normal
from torch.nn import functional
from sample_factory.utils.typing import ActionSpace
from sample_factory.utils.utils import log
def calc_num_actions(action_space):
if i... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/agent_policy_mapping.py | agent_policy_mapping.py | .py | 2,839 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/agent_policy_mapping.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/agent_policy_mapping.py | b6043b7da0a2fb3bc2c2b1f3837d56aef07d006c | Python | 2026-05-04T01:21:40.004235 | import random
import numpy as np
from sample_factory.algo.utils.env_info import EnvInfo
from sample_factory.algo.utils.rl_utils import total_num_envs
from sample_factory.utils.typing import Config
class AgentPolicyMapping:
"""
This class currently implements the most simple mapping between agents in the env... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/context.py | context.py | .py | 1,155 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/context.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/context.py | 50426d1996bf3732402b9809dcc36b22e6ea572a | Python | 2026-05-04T01:21:41.643055 | from typing import Dict
from sample_factory.model.model_factory import ModelFactory
from sample_factory.utils.typing import CreateEnvFunc
class SampleFactoryContext:
def __init__(self):
self.env_registry = dict()
self.model_factory = ModelFactory()
GLOBAL_CONTEXT = None
def sf_global_context(... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/env_info.py | env_info.py | .py | 4,868 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/env_info.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/env_info.py | 2372a74818869ec4c6a938b19ccaa677a62c3f16 | Python | 2026-05-04T01:21:43.201618 | from __future__ import annotations
import multiprocessing
import os
import pickle
from dataclasses import dataclass
from os.path import join
from typing import Dict, List, Optional
import gymnasium as gym
from sample_factory.algo.utils.action_distributions import calc_num_actions
from sample_factory.algo.utils.conte... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/gymnasium_utils.py | gymnasium_utils.py | .py | 4,491 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/gymnasium_utils.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/gymnasium_utils.py | d8a83cbe6d1713c0b15153d97d9e3e4fe112f8ac | Python | 2026-05-04T01:21:44.408206 | """
Compatibility layer for Gym -> Gymnasium transition.
Adapted from Stable Baselines3, Tianshou, and Shimmy https://github.com/Farama-Foundation/Shimmy
"""
import warnings
from inspect import signature
from typing import Union
import gymnasium
from sample_factory.utils.utils import log
try:
import gym # pyty... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/heartbeat.py | heartbeat.py | .py | 1,170 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/heartbeat.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/heartbeat.py | 64b66ce01724b5fe864cb43d1c34f351c17c33bb | Python | 2026-05-04T01:21:45.645201 | from signal_slot.signal_slot import EventLoop, EventLoopObject, Timer, process_name, signal
from sample_factory.utils.utils import log
class HeartbeatStoppableEventLoopObject(EventLoopObject):
def __init__(self, evt_loop: EventLoop, unique_name: str, interval_sec: int = 10):
EventLoopObject.__init__(self... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/make_env.py | make_env.py | .py | 15,276 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/make_env.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/make_env.py | d5decc3374b89e97ffca2036ab1c9a31e85717d8 | Python | 2026-05-04T01:21:47.056445 | from __future__ import annotations
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
import gymnasium as gym
import numpy as np
import torch
from gymnasium import Wrapper, spaces
from gymnasium.core import ActType, ObsType
from torch import Tensor
from sample_factory.algo.utils.tensor_ut... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/misc.py | misc.py | .py | 1,086 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/misc.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/misc.py | 8fd0c0dfac24a2f647f58f7ecc33bee8b7b42b8a | Python | 2026-05-04T01:21:48.401770 | import torch
from sample_factory.utils.typing import PolicyID
from sample_factory.utils.utils import memory_consumption_mb
EPS = 1e-8
# stats dictionary keys
EPISODIC = "episodic"
LEARNER_ENV_STEPS = "learner_env_steps"
TRAIN_STATS = "train"
TIMING_STATS = "timing"
STATS_KEY = "stats"
SAMPLES_COLLECTED = "samples_c... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/model_sharing.py | model_sharing.py | .py | 6,052 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/model_sharing.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/model_sharing.py | ae77c50d269c9d0800740bbf4921fd9b5667c071 | Python | 2026-05-04T01:21:49.720923 | """
Utilities for sharing model parameters between components.
"""
import sys
from typing import Optional
import torch
from torch import Tensor
from sample_factory.algo.utils.multiprocessing_utils import get_lock, get_mp_ctx
from sample_factory.model.actor_critic import create_actor_critic
from sample_factory.utils.... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/multiprocessing_utils.py | multiprocessing_utils.py | .py | 886 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/multiprocessing_utils.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/multiprocessing_utils.py | 4909480e9934a5606e7fa56fccea314ba51f6f0a | Python | 2026-05-04T01:21:50.962833 | import multiprocessing
from multiprocessing.context import BaseContext
from typing import Optional
from sample_factory.utils.utils import static_vars
@static_vars(mp_ctx=None)
def get_mp_ctx(serial: bool) -> Optional[BaseContext]:
if serial:
return None
if get_mp_ctx.mp_ctx is None:
get_mp_c... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/optimizers.py | optimizers.py | .py | 6,270 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/optimizers.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/optimizers.py | 5128c6e19af9402090dcf735ec4bd3c5246ff3fc | Python | 2026-05-04T01:21:52.311822 | """
Courtesy of https://github.com/shacklettbp/bps-nav
See section 3.4 in https://arxiv.org/pdf/2103.07013.pdf
"""
import math
from typing import Callable, Optional, Tuple
import torch
from torch.optim import Optimizer
class Lamb(Optimizer):
def __init__(
self,
params,
bias_correction=T... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/rl_utils.py | rl_utils.py | .py | 3,805 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/rl_utils.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/rl_utils.py | c4af3e8677f809d5eb8f6655b8f94a4d157bc056 | Python | 2026-05-04T01:21:53.624210 | from __future__ import annotations
from typing import Dict, Optional, Sequence, Union
import numpy as np
import torch
from torch import Tensor
from torch.nn import Module
from sample_factory.algo.utils.env_info import EnvInfo
from sample_factory.algo.utils.tensor_dict import TensorDict
from sample_factory.algo.utils... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/running_mean_std.py | running_mean_std.py | .py | 5,907 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/running_mean_std.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/running_mean_std.py | fd3173a5da4c59afad75b3ed86f5376c3eec672e | Python | 2026-05-04T01:21:55.007199 | """
PyTorch module that keeps track of tensor statistics and uses it to normalize data.
All credit goes to https://github.com/Denys88/rl_games (only slightly changed here, mostly with in-place operations)
Thanks a lot, great module!
"""
from typing import Dict, Final, List, Optional, Union
import gymnasium as gym
imp... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/shared_buffers.py | shared_buffers.py | .py | 11,124 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/shared_buffers.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/shared_buffers.py | 01a5ea718a3eef4fb44f1f65dae76f37003456d7 | Python | 2026-05-04T01:21:56.491448 | from __future__ import annotations
import math
from typing import Dict, List, Tuple
import torch
from gymnasium import spaces
from signal_slot.queue_utils import get_queue
from torch import Tensor
from sample_factory.algo.sampling.sampling_utils import rollout_worker_device
from sample_factory.algo.utils.action_dist... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/spaces/discretized.py | discretized.py | .py | 449 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/spaces/discretized.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/spaces/discretized.py | 3cc9f404e1758d1458e0d78be6fafc58b2d94ead | Python | 2026-05-04T01:21:57.822535 | from gymnasium.spaces import Discrete
class Discretized(Discrete):
def __init__(self, n, min_action, max_action):
super().__init__(n)
self.min_action = min_action
self.max_action = max_action
def to_continuous(self, discrete_action):
step = (self.max_action - self.min_action)... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/tensor_dict.py | tensor_dict.py | .py | 5,277 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/tensor_dict.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/tensor_dict.py | fe38c6443449772a55dff5951d5bd3b0a91b9b8b | Python | 2026-05-04T01:21:58.982779 | from __future__ import annotations
from typing import Dict, Iterable, List, Optional
import numpy as np
import torch
from torch import Tensor
from sample_factory.algo.utils.misc import MAGIC_FLOAT, MAGIC_INT
from sample_factory.utils.dicts import (
copy_dict_structure,
iter_dicts_recursively,
iterate_rec... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/tensor_utils.py | tensor_utils.py | .py | 1,081 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/tensor_utils.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/tensor_utils.py | 1efbbf0aafba9b9c3cbbf76203e850f91dddccf4 | Python | 2026-05-04T01:22:00.178378 | from __future__ import annotations
from typing import Any, Dict, List
import numpy as np
import torch
from torch import Tensor
def clone_tensor(t: Tensor | np.ndarray) -> Tensor | np.ndarray:
if isinstance(t, Tensor):
return t.clone().detach()
else:
return np.copy(t)
def unsqueeze_tensor(t... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/algo/utils/torch_utils.py | torch_utils.py | .py | 1,741 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/algo/utils/torch_utils.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/algo/utils/torch_utils.py | b587320f0130f75e5c956542088302d326f345b9 | Python | 2026-05-04T01:22:01.509185 | from __future__ import annotations
from typing import Optional
import numpy as np
import torch
from sample_factory.utils.attr_dict import AttrDict
from sample_factory.utils.typing import Config
def init_torch_runtime(cfg: AttrDict, max_num_threads: Optional[int] = 1):
torch.multiprocessing.set_sharing_strategy... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/cfg/arguments.py | arguments.py | .py | 11,454 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/cfg/arguments.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/cfg/arguments.py | fdba29eac242b22ce5bea5cc8e5560885e31f43f | Python | 2026-05-04T01:22:03.045223 | import argparse
import copy
import json
import os
import sys
from typing import List, Optional, Tuple
from sample_factory.algo.utils.env_info import EnvInfo
from sample_factory.algo.utils.rl_utils import total_num_agents
from sample_factory.cfg.cfg import (
add_basic_cli_args,
add_default_env_args,
add_eva... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/cfg/cfg.py | cfg.py | .py | 36,348 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/cfg/cfg.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/cfg/cfg.py | dbbd3f1fc4a881bcf8ca4d7fc0a36c166e578a9b | Python | 2026-05-04T01:22:04.651985 | import multiprocessing
import os
from argparse import ArgumentParser
from os.path import join
from sample_factory.utils.utils import str2bool
def add_basic_cli_args(p: ArgumentParser):
p.add_argument("-h", "--help", action="store_true", help="Print the help message", required=False)
p.add_argument("--algo", ... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/cfg/configurable.py | configurable.py | .py | 146 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/cfg/configurable.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/cfg/configurable.py | 1c7329e11be1195301711cae69fc49cb56a6b809 | Python | 2026-05-04T01:22:05.754670 | from sample_factory.utils.attr_dict import AttrDict
class Configurable:
def __init__(self, cfg: AttrDict):
self.cfg: AttrDict = cfg
|
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/enjoy.py | enjoy.py | .py | 11,979 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/enjoy.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/enjoy.py | cd927ef33bcb143f2522a817f7f294cc74e18d2c | Python | 2026-05-04T01:22:07.393268 | import time
from collections import deque
from typing import Dict, Optional, Tuple
import gymnasium as gym
import numpy as np
import torch
from torch import Tensor
from sample_factory.algo.learning.learner import Learner
from sample_factory.algo.sampling.batched_sampling import preprocess_actions
from sample_factory.... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/envs/create_env.py | create_env.py | .py | 1,685 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/envs/create_env.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/envs/create_env.py | c38c0fe5264bf1379aa948814720e0f2143e6a53 | Python | 2026-05-04T01:22:08.676952 | from __future__ import annotations
from typing import Optional
from sample_factory.algo.utils.context import global_env_registry
from sample_factory.algo.utils.gymnasium_utils import patch_non_gymnasium_env
from sample_factory.envs.env_wrappers import EpisodeCounterWrapper
from sample_factory.utils.attr_dict import A... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/envs/env_utils.py | env_utils.py | .py | 5,247 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/envs/env_utils.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/envs/env_utils.py | 12835a54ca088a9aff25fd65f0e10a01c5740af7 | Python | 2026-05-04T01:22:10.009230 | from __future__ import annotations
from functools import wraps
from time import sleep
from typing import Any, Dict, Optional
from sample_factory.algo.utils.context import global_env_registry
from sample_factory.utils.typing import CreateEnvFunc
from sample_factory.utils.utils import is_module_available, log
def reg... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/envs/env_wrappers.py | env_wrappers.py | .py | 16,234 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/envs/env_wrappers.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/envs/env_wrappers.py | 5326df053429acd195f60d4706090d33aa56251a | Python | 2026-05-04T01:22:11.547136 | """
Gym env wrappers that make the environment suitable for the RL algorithms.
"""
import json
import os
from os.path import join
from typing import Any, Dict, Tuple, Union
import cv2
import gymnasium as gym
import numpy as np
from gymnasium import ObservationWrapper, RewardWrapper, spaces
from sample_factory.envs.... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/envs/pettingzoo_envs.py | pettingzoo_envs.py | .py | 2,931 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/envs/pettingzoo_envs.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/envs/pettingzoo_envs.py | 2571b40fcf24c2f3d39ff741ab84748b2578220d | Python | 2026-05-04T01:22:12.875574 | """
Gym env wrappers for PettingZoo -> Gymnasium transition.
"""
import gymnasium as gym
class PettingZooParallelEnv(gym.Env):
def __init__(self, env):
if not all_equal([env.observation_space(a) for a in env.possible_agents]):
raise ValueError("All observation spaces must be equal")
... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/eval.py | eval.py | .py | 4,419 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/eval.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/eval.py | 7f128ab284f5c90e0cf05e93ebcb9e71c58850e1 | Python | 2026-05-04T01:22:14.116810 | import json
import time
from collections import deque
from pathlib import Path
from typing import Deque
import numpy as np
import pandas as pd
from signal_slot.signal_slot import StatusCode
from sample_factory.algo.sampling.evaluation_sampling_api import EvalSamplingAPI
from sample_factory.algo.utils.env_info import ... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/export_onnx.py | export_onnx.py | .py | 7,026 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/export_onnx.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/export_onnx.py | b3bbe6fcc08cbdc1719a69ab4a77550d67d05cad | Python | 2026-05-04T01:22:15.411460 | import types
from typing import List
import gymnasium as gym
import torch
import torch.nn as nn
import torch.onnx
from torch import Tensor
from sample_factory.algo.learning.learner import Learner
from sample_factory.algo.sampling.batched_sampling import preprocess_actions
from sample_factory.algo.utils.action_distrib... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/huggingface/huggingface_utils.py | huggingface_utils.py | .py | 4,762 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/huggingface/huggingface_utils.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/huggingface/huggingface_utils.py | 2f3d60eaad1754f1117b3c2f4847300ec585e569 | Python | 2026-05-04T01:22:16.767586 | import os
import cv2
import numpy as np
from huggingface_hub import HfApi, Repository, repocard, upload_folder
from sample_factory.utils.typing import Config
from sample_factory.utils.utils import log, project_tmp_dir
MIN_FRAME_SIZE = 180
def generate_replay_video(dir_path: str, frames: list, fps: int, cfg: Config... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/huggingface/load_from_hub.py | load_from_hub.py | .py | 669 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/huggingface/load_from_hub.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/huggingface/load_from_hub.py | 408d817e073e412c611c52a6b107af6ae6c5f289 | Python | 2026-05-04T01:22:18.098206 | import argparse
from sample_factory.huggingface.huggingface_utils import load_from_hf
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
"-r",
"--hf_repository",
help="Repo id of the model repository from the Hugging Face Hub in the form user_name/repo_name",
... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/huggingface/push_to_hub.py | push_to_hub.py | .py | 1,884 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/huggingface/push_to_hub.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/huggingface/push_to_hub.py | 4f2666433fe2a76ab0c5a0a23c3cff5ca7f729d6 | Python | 2026-05-04T01:22:19.429360 | import argparse
import json
import os
import sys
from sample_factory.huggingface.huggingface_utils import generate_model_card, push_to_hf
from sample_factory.utils.attr_dict import AttrDict
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
"-r",
"--hf_repository",
he... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/launcher/launcher_utils.py | launcher_utils.py | .py | 154 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/launcher/launcher_utils.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/launcher/launcher_utils.py | 36e7279f5fefb9d9e39af1a6e014b8b894193e3e | Python | 2026-05-04T01:22:20.760712 | import random
from typing import List
def seeds(num_seeds: int) -> List[int]:
return [random.randrange(1000000, 9999999) for _ in range(num_seeds)]
|
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/launcher/run.py | run.py | .py | 2,742 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/launcher/run.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/launcher/run.py | 06ef7441fadf1b5673906b1f4d8a145b07419442 | Python | 2026-05-04T01:22:22.091698 | import argparse
import importlib
import sys
from sample_factory.algo.utils.misc import ExperimentStatus
from sample_factory.launcher.run_ngc import add_ngc_args, run_ngc
from sample_factory.launcher.run_processes import add_os_parallelism_args, run
from sample_factory.launcher.run_slurm import add_slurm_args, run_slur... |
alex-petrenko/sample-factory | https://github.com/alex-petrenko/sample-factory | https://api.github.com/repos/alex-petrenko/sample-factory | alex-petrenko | sample-factory | High throughput synchronous and asynchronous reinforcement learning | 993 | 149 | 993 | mit | master | 2019-06-20T00:59:01 | 2026-05-03T15:40:19 | [
"reinforcement-learning"
] | {
"Python": 959582,
"Jupyter Notebook": 7779,
"Shell": 1969,
"Makefile": 1668
} | false | 32 | sample_factory/launcher/run_description.py | run_description.py | .py | 7,490 | https://github.com/alex-petrenko/sample-factory/blob/master/sample_factory/launcher/run_description.py | https://raw.githubusercontent.com/alex-petrenko/sample-factory/master/sample_factory/launcher/run_description.py | 0f10f65334a133664c9f8f50cd1d9f79faf31b08 | Python | 2026-05-04T01:22:23.628153 | import os
import re
from collections import OrderedDict
from os.path import join
import numpy as np
from sample_factory.utils.utils import log
class ParamGenerator:
def __init__(self):
pass
def generate_params(self, randomize=True):
"""Supposed to be a generator (so should yield dicts of pa... |
agiresearch/A-mem | https://github.com/agiresearch/A-mem | https://api.github.com/repos/agiresearch/A-mem | agiresearch | A-mem | A-MEM: Agentic Memory for LLM Agents | 994 | 108 | 994 | mit | main | 2025-02-25T20:13:43 | 2026-05-03T18:52:12 | [
"agent",
"llm",
"memory"
] | {
"Python": 65870
} | false | 13 | agentic_memory/llm_controller.py | llm_controller.py | .py | 3,810 | https://github.com/agiresearch/A-mem/blob/main/agentic_memory/llm_controller.py | https://raw.githubusercontent.com/agiresearch/A-mem/main/agentic_memory/llm_controller.py | 6211f6100e1cba75462c94fcd07f49d5edcd6e09 | Python | 2026-05-04T01:22:28.586553 | from typing import Dict, Optional, Literal, Any
import os
import json
from abc import ABC, abstractmethod
from litellm import completion
class BaseLLMController(ABC):
@abstractmethod
def get_completion(self, prompt: str) -> str:
"""Get completion from LLM"""
pass
class OpenAIController(BaseLLM... |
agiresearch/A-mem | https://github.com/agiresearch/A-mem | https://api.github.com/repos/agiresearch/A-mem | agiresearch | A-mem | A-MEM: Agentic Memory for LLM Agents | 994 | 108 | 994 | mit | main | 2025-02-25T20:13:43 | 2026-05-03T18:52:12 | [
"agent",
"llm",
"memory"
] | {
"Python": 65870
} | false | 13 | agentic_memory/memory_system.py | memory_system.py | .py | 32,697 | https://github.com/agiresearch/A-mem/blob/main/agentic_memory/memory_system.py | https://raw.githubusercontent.com/agiresearch/A-mem/main/agentic_memory/memory_system.py | 594b2f94c2bbdccc439f8294aa797a1e22d9db56 | Python | 2026-05-04T01:22:31.291208 | import keyword
from typing import List, Dict, Optional, Any, Tuple
import uuid
from datetime import datetime
from .llm_controller import LLMController
from .retrievers import ChromaRetriever
import json
import logging
from rank_bm25 import BM25Okapi
from sentence_transformers import SentenceTransformer
import numpy as ... |
agiresearch/A-mem | https://github.com/agiresearch/A-mem | https://api.github.com/repos/agiresearch/A-mem | agiresearch | A-mem | A-MEM: Agentic Memory for LLM Agents | 994 | 108 | 994 | mit | main | 2025-02-25T20:13:43 | 2026-05-03T18:52:12 | [
"agent",
"llm",
"memory"
] | {
"Python": 65870
} | false | 13 | agentic_memory/retrievers.py | retrievers.py | .py | 10,661 | https://github.com/agiresearch/A-mem/blob/main/agentic_memory/retrievers.py | https://raw.githubusercontent.com/agiresearch/A-mem/main/agentic_memory/retrievers.py | 3fdc993c91885755cef7b4a036dc69aeeafd1e3c | Python | 2026-05-04T01:22:32.741512 | import json
from pathlib import Path
from typing import Dict, List, Optional
import ast
import tempfile
import atexit
import chromadb
from chromadb.config import Settings
from chromadb.utils.embedding_functions import SentenceTransformerEmbeddingFunction
from nltk.tokenize import word_tokenize
def simple_tokenize(te... |
agiresearch/A-mem | https://github.com/agiresearch/A-mem | https://api.github.com/repos/agiresearch/A-mem | agiresearch | A-mem | A-MEM: Agentic Memory for LLM Agents | 994 | 108 | 994 | mit | main | 2025-02-25T20:13:43 | 2026-05-03T18:52:12 | [
"agent",
"llm",
"memory"
] | {
"Python": 65870
} | false | 13 | examples/sovereign_memory.py | sovereign_memory.py | .py | 1,700 | https://github.com/agiresearch/A-mem/blob/main/examples/sovereign_memory.py | https://raw.githubusercontent.com/agiresearch/A-mem/main/examples/sovereign_memory.py | 21c61d74556229d3ec7eea0f9014c73bbe54c535 | Python | 2026-05-04T01:22:33.969964 | import os
import sys
# Ensure we can import from source
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from agentic_memory.memory_system import AgenticMemorySystem
def main():
print("🧠 Initializing A-mem Sovereign System (Local)...")
# Initialize with local backend
# N... |
agiresearch/A-mem | https://github.com/agiresearch/A-mem | https://api.github.com/repos/agiresearch/A-mem | agiresearch | A-mem | A-MEM: Agentic Memory for LLM Agents | 994 | 108 | 994 | mit | main | 2025-02-25T20:13:43 | 2026-05-03T18:52:12 | [
"agent",
"llm",
"memory"
] | {
"Python": 65870
} | false | 13 | tests/conftest.py | conftest.py | .py | 1,376 | https://github.com/agiresearch/A-mem/blob/main/tests/conftest.py | https://raw.githubusercontent.com/agiresearch/A-mem/main/tests/conftest.py | e18a804379b2ce4bfd8891822729c02009583e55 | Python | 2026-05-04T01:22:35.301476 | import pytest
import tempfile
import shutil
from pathlib import Path
from agentic_memory.retrievers import ChromaRetriever, PersistentChromaRetriever
@pytest.fixture
def retriever():
"""Fixture providing a clean ChromaRetriever instance."""
retriever = ChromaRetriever(collection_name="test_memories")
yie... |
agiresearch/A-mem | https://github.com/agiresearch/A-mem | https://api.github.com/repos/agiresearch/A-mem | agiresearch | A-mem | A-MEM: Agentic Memory for LLM Agents | 994 | 108 | 994 | mit | main | 2025-02-25T20:13:43 | 2026-05-03T18:52:12 | [
"agent",
"llm",
"memory"
] | {
"Python": 65870
} | false | 13 | tests/test_memory_system.py | test_memory_system.py | .py | 10,019 | https://github.com/agiresearch/A-mem/blob/main/tests/test_memory_system.py | https://raw.githubusercontent.com/agiresearch/A-mem/main/tests/test_memory_system.py | 03c8b898bdf08f73f897197c463ae164b92d4c74 | Python | 2026-05-04T01:22:36.837764 | import unittest
from agentic_memory.memory_system import AgenticMemorySystem, MemoryNote
from datetime import datetime
class TestAgenticMemorySystem(unittest.TestCase):
def setUp(self):
"""Set up test environment before each test."""
self.memory_system = AgenticMemorySystem(
model_name=... |
agiresearch/A-mem | https://github.com/agiresearch/A-mem | https://api.github.com/repos/agiresearch/A-mem | agiresearch | A-mem | A-MEM: Agentic Memory for LLM Agents | 994 | 108 | 994 | mit | main | 2025-02-25T20:13:43 | 2026-05-03T18:52:12 | [
"agent",
"llm",
"memory"
] | {
"Python": 65870
} | false | 13 | tests/test_retriever.py | test_retriever.py | .py | 6,647 | https://github.com/agiresearch/A-mem/blob/main/tests/test_retriever.py | https://raw.githubusercontent.com/agiresearch/A-mem/main/tests/test_retriever.py | f8227d901c4ee80b28100d9faec4844bcc811655 | Python | 2026-05-04T01:22:38.485985 | import pytest
from agentic_memory.retrievers import PersistentChromaRetriever
def test_initialization(retriever):
"""Test ChromaRetriever initializes correctly."""
assert retriever.collection is not None
assert retriever.embedding_function is not None
def test_add_document(retriever, sample_metadata):
... |
agiresearch/A-mem | https://github.com/agiresearch/A-mem | https://api.github.com/repos/agiresearch/A-mem | agiresearch | A-mem | A-MEM: Agentic Memory for LLM Agents | 994 | 108 | 994 | mit | main | 2025-02-25T20:13:43 | 2026-05-03T18:52:12 | [
"agent",
"llm",
"memory"
] | {
"Python": 65870
} | false | 13 | tests/test_utils.py | test_utils.py | .py | 658 | https://github.com/agiresearch/A-mem/blob/main/tests/test_utils.py | https://raw.githubusercontent.com/agiresearch/A-mem/main/tests/test_utils.py | 778c2d30a05866f5d772138b0bfc6514a749c2a9 | Python | 2026-05-04T01:22:39.921727 | """Test utilities for the memory system."""
from typing import List
from agentic_memory.llm_controller import BaseLLMController
class MockLLMController(BaseLLMController):
"""Mock LLM controller for testing"""
def __init__(self):
self.mock_response = "{}"
def get_completion(self, prompt: s... |
ajndkr/lanarky | https://github.com/ajndkr/lanarky | https://api.github.com/repos/ajndkr/lanarky | ajndkr | lanarky | The web framework for building LLM microservices [deprecated] | 992 | 76 | 992 | mit | main | 2023-04-07T05:36:32 | 2026-04-27T21:23:15 | [
"deprecated-repo",
"fastapi",
"llmops",
"microservices",
"python3",
"web"
] | {
"Python": 92508,
"Makefile": 1101
} | false | 9 | examples/chatgpt-clone/app.py | app.py | .py | 2,570 | https://github.com/ajndkr/lanarky/blob/main/examples/chatgpt-clone/app.py | https://raw.githubusercontent.com/ajndkr/lanarky/main/examples/chatgpt-clone/app.py | 5d7d89a2fd6cc4cca6392d58cf7ee1c3c9d3f219 | Python | 2026-05-04T01:22:44.210865 | import gradio as gr
from lanarky import Lanarky
from lanarky.adapters.openai.resources import ChatCompletionResource
from lanarky.adapters.openai.routing import OpenAIAPIRouter
from lanarky.clients import StreamingClient
app = Lanarky()
router = OpenAIAPIRouter()
@router.post("/chat")
def chat(system: str = "You ar... |
ajndkr/lanarky | https://github.com/ajndkr/lanarky | https://api.github.com/repos/ajndkr/lanarky | ajndkr | lanarky | The web framework for building LLM microservices [deprecated] | 992 | 76 | 992 | mit | main | 2023-04-07T05:36:32 | 2026-04-27T21:23:15 | [
"deprecated-repo",
"fastapi",
"llmops",
"microservices",
"python3",
"web"
] | {
"Python": 92508,
"Makefile": 1101
} | false | 9 | examples/paulGPT/app.py | app.py | .py | 3,037 | https://github.com/ajndkr/lanarky/blob/main/examples/paulGPT/app.py | https://raw.githubusercontent.com/ajndkr/lanarky/main/examples/paulGPT/app.py | ab1f00a9def48d31dfa635b3b7234a00bbb9b349 | Python | 2026-05-04T01:22:45.446318 | import json
import gradio as gr
from langchain.chains import RetrievalQA
from langchain.chat_models import ChatOpenAI
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.vectorstores.faiss import FAISS
from lanarky import Lanarky
from lanarky.adapters.langchain.routing import LangchainAPIRouter
fr... |
ajndkr/lanarky | https://github.com/ajndkr/lanarky | https://api.github.com/repos/ajndkr/lanarky | ajndkr | lanarky | The web framework for building LLM microservices [deprecated] | 992 | 76 | 992 | mit | main | 2023-04-07T05:36:32 | 2026-04-27T21:23:15 | [
"deprecated-repo",
"fastapi",
"llmops",
"microservices",
"python3",
"web"
] | {
"Python": 92508,
"Makefile": 1101
} | false | 9 | lanarky/adapters/langchain/__init__.py | __init__.py | .py | 174 | https://github.com/ajndkr/lanarky/blob/main/lanarky/adapters/langchain/__init__.py | https://raw.githubusercontent.com/ajndkr/lanarky/main/lanarky/adapters/langchain/__init__.py | 64e76440403200416b5df620eea1fe35aafb6232 | Python | 2026-05-04T01:22:46.771115 | from importlib.util import find_spec
if not find_spec("langchain"):
raise ImportError(
"run `pip install lanarky[langchain]` to use the langchain adapter"
)
|
ajndkr/lanarky | https://github.com/ajndkr/lanarky | https://api.github.com/repos/ajndkr/lanarky | ajndkr | lanarky | The web framework for building LLM microservices [deprecated] | 992 | 76 | 992 | mit | main | 2023-04-07T05:36:32 | 2026-04-27T21:23:15 | [
"deprecated-repo",
"fastapi",
"llmops",
"microservices",
"python3",
"web"
] | {
"Python": 92508,
"Makefile": 1101
} | false | 9 | lanarky/adapters/langchain/callbacks.py | callbacks.py | .py | 15,037 | https://github.com/ajndkr/lanarky/blob/main/lanarky/adapters/langchain/callbacks.py | https://raw.githubusercontent.com/ajndkr/lanarky/main/lanarky/adapters/langchain/callbacks.py | 48c1f1443e0966cdfdc95db0763324c263b8c1a7 | Python | 2026-05-04T01:22:48.164648 | from typing import Any, Optional
from fastapi.websockets import WebSocket
from langchain.callbacks.base import AsyncCallbackHandler
from langchain.callbacks.streaming_stdout_final_only import (
FinalStreamingStdOutCallbackHandler,
)
from langchain.globals import get_llm_cache
from langchain.schema.document import ... |
ajndkr/lanarky | https://github.com/ajndkr/lanarky | https://api.github.com/repos/ajndkr/lanarky | ajndkr | lanarky | The web framework for building LLM microservices [deprecated] | 992 | 76 | 992 | mit | main | 2023-04-07T05:36:32 | 2026-04-27T21:23:15 | [
"deprecated-repo",
"fastapi",
"llmops",
"microservices",
"python3",
"web"
] | {
"Python": 92508,
"Makefile": 1101
} | false | 9 | lanarky/adapters/langchain/dependencies.py | dependencies.py | .py | 1,293 | https://github.com/ajndkr/lanarky/blob/main/lanarky/adapters/langchain/dependencies.py | https://raw.githubusercontent.com/ajndkr/lanarky/main/lanarky/adapters/langchain/dependencies.py | e401afe546782aa3ddd4bb6a2e07d7a80ca68b81 | Python | 2026-05-04T01:22:49.369975 | from typing import Any, Callable, Optional
from fastapi import params
from langchain.chains.base import Chain
from lanarky.adapters.langchain.utils import create_request_model, create_response_model
from lanarky.utils import model_dump
def Depends(
dependency: Optional[Callable[..., Any]],
*,
dependency... |
ajndkr/lanarky | https://github.com/ajndkr/lanarky | https://api.github.com/repos/ajndkr/lanarky | ajndkr | lanarky | The web framework for building LLM microservices [deprecated] | 992 | 76 | 992 | mit | main | 2023-04-07T05:36:32 | 2026-04-27T21:23:15 | [
"deprecated-repo",
"fastapi",
"llmops",
"microservices",
"python3",
"web"
] | {
"Python": 92508,
"Makefile": 1101
} | false | 9 | lanarky/adapters/langchain/responses.py | responses.py | .py | 3,408 | https://github.com/ajndkr/lanarky/blob/main/lanarky/adapters/langchain/responses.py | https://raw.githubusercontent.com/ajndkr/lanarky/main/lanarky/adapters/langchain/responses.py | f2a1ce2b134b9e12eda52b7a3796f51f9ea00956 | Python | 2026-05-04T01:22:50.662418 | import asyncio
from functools import partial
from typing import Any
from fastapi import status
from langchain.chains.base import Chain
from starlette.types import Send
from lanarky.events import Events, ServerSentEvent, ensure_bytes
from lanarky.logging import logger
from lanarky.responses import HTTPStatusDetail
fro... |
ajndkr/lanarky | https://github.com/ajndkr/lanarky | https://api.github.com/repos/ajndkr/lanarky | ajndkr | lanarky | The web framework for building LLM microservices [deprecated] | 992 | 76 | 992 | mit | main | 2023-04-07T05:36:32 | 2026-04-27T21:23:15 | [
"deprecated-repo",
"fastapi",
"llmops",
"microservices",
"python3",
"web"
] | {
"Python": 92508,
"Makefile": 1101
} | false | 9 | lanarky/adapters/langchain/routing.py | routing.py | .py | 3,375 | https://github.com/ajndkr/lanarky/blob/main/lanarky/adapters/langchain/routing.py | https://raw.githubusercontent.com/ajndkr/lanarky/main/lanarky/adapters/langchain/routing.py | 83ab8a1d8bb8ec10e9ab0bab7851ad78bfed5456 | Python | 2026-05-04T01:22:51.829647 | import inspect
from typing import Any, Callable, Optional, Sequence
from fastapi import params
from fastapi.datastructures import Default
from fastapi.routing import APIRoute, APIRouter, APIWebSocketRoute
from .utils import build_factory_api_endpoint, build_factory_websocket_endpoint
class LangchainAPIRoute(APIRout... |
ajndkr/lanarky | https://github.com/ajndkr/lanarky | https://api.github.com/repos/ajndkr/lanarky | ajndkr | lanarky | The web framework for building LLM microservices [deprecated] | 992 | 76 | 992 | mit | main | 2023-04-07T05:36:32 | 2026-04-27T21:23:15 | [
"deprecated-repo",
"fastapi",
"llmops",
"microservices",
"python3",
"web"
] | {
"Python": 92508,
"Makefile": 1101
} | false | 9 | lanarky/adapters/langchain/utils.py | utils.py | .py | 7,915 | https://github.com/ajndkr/lanarky/blob/main/lanarky/adapters/langchain/utils.py | https://raw.githubusercontent.com/ajndkr/lanarky/main/lanarky/adapters/langchain/utils.py | b20967d974002f3b9cf3f4985de077201714263f | Python | 2026-05-04T01:22:53.055475 | import re
from typing import Any, Awaitable, Callable
from fastapi import Depends
from langchain.agents import AgentExecutor
from langchain.chains.base import Chain
from langchain.schema.document import Document
from pydantic import BaseModel, create_model
from starlette.routing import compile_path
from lanarky.adapt... |
ajndkr/lanarky | https://github.com/ajndkr/lanarky | https://api.github.com/repos/ajndkr/lanarky | ajndkr | lanarky | The web framework for building LLM microservices [deprecated] | 992 | 76 | 992 | mit | main | 2023-04-07T05:36:32 | 2026-04-27T21:23:15 | [
"deprecated-repo",
"fastapi",
"llmops",
"microservices",
"python3",
"web"
] | {
"Python": 92508,
"Makefile": 1101
} | false | 9 | lanarky/adapters/openai/__init__.py | __init__.py | .py | 151 | https://github.com/ajndkr/lanarky/blob/main/lanarky/adapters/openai/__init__.py | https://raw.githubusercontent.com/ajndkr/lanarky/main/lanarky/adapters/openai/__init__.py | 1d28f1c39ad23bbc8ffb0a7a68b3847946d444ce | Python | 2026-05-04T01:22:54.348812 | from importlib.util import find_spec
if not find_spec("openai"):
raise ImportError("run `pip install lanarky[openai]` to use the openai adapter")
|
ajndkr/lanarky | https://github.com/ajndkr/lanarky | https://api.github.com/repos/ajndkr/lanarky | ajndkr | lanarky | The web framework for building LLM microservices [deprecated] | 992 | 76 | 992 | mit | main | 2023-04-07T05:36:32 | 2026-04-27T21:23:15 | [
"deprecated-repo",
"fastapi",
"llmops",
"microservices",
"python3",
"web"
] | {
"Python": 92508,
"Makefile": 1101
} | false | 9 | lanarky/adapters/openai/dependencies.py | dependencies.py | .py | 1,356 | https://github.com/ajndkr/lanarky/blob/main/lanarky/adapters/openai/dependencies.py | https://raw.githubusercontent.com/ajndkr/lanarky/main/lanarky/adapters/openai/dependencies.py | 769e20ab4381dbe7e7a9313d76a338e3ae4c8ced | Python | 2026-05-04T01:22:55.680551 | from typing import Any, Callable, Optional
from fastapi import params
from lanarky.utils import model_dump
from .resources import OpenAIResource
from .utils import create_request_model, create_response_model
def Depends(
dependency: Optional[Callable[..., Any]],
*,
dependency_kwargs: dict[str, Any] = {... |
ajndkr/lanarky | https://github.com/ajndkr/lanarky | https://api.github.com/repos/ajndkr/lanarky | ajndkr | lanarky | The web framework for building LLM microservices [deprecated] | 992 | 76 | 992 | mit | main | 2023-04-07T05:36:32 | 2026-04-27T21:23:15 | [
"deprecated-repo",
"fastapi",
"llmops",
"microservices",
"python3",
"web"
] | {
"Python": 92508,
"Makefile": 1101
} | false | 9 | lanarky/adapters/openai/resources.py | resources.py | .py | 3,565 | https://github.com/ajndkr/lanarky/blob/main/lanarky/adapters/openai/resources.py | https://raw.githubusercontent.com/ajndkr/lanarky/main/lanarky/adapters/openai/resources.py | 438aaab7b8bfd42bd7b61991c3852f47d05d4a23 | Python | 2026-05-04T01:22:57.011555 | from abc import abstractmethod
from typing import Any, Generator
from openai import AsyncOpenAI
from openai.types.chat import ChatCompletion, ChatCompletionChunk
from pydantic import BaseModel, Field
from lanarky.utils import model_dump
class Message(BaseModel):
role: str = Field(pattern=r"^(user|assistant)$")
... |
ajndkr/lanarky | https://github.com/ajndkr/lanarky | https://api.github.com/repos/ajndkr/lanarky | ajndkr | lanarky | The web framework for building LLM microservices [deprecated] | 992 | 76 | 992 | mit | main | 2023-04-07T05:36:32 | 2026-04-27T21:23:15 | [
"deprecated-repo",
"fastapi",
"llmops",
"microservices",
"python3",
"web"
] | {
"Python": 92508,
"Makefile": 1101
} | false | 9 | lanarky/adapters/openai/responses.py | responses.py | .py | 2,731 | https://github.com/ajndkr/lanarky/blob/main/lanarky/adapters/openai/responses.py | https://raw.githubusercontent.com/ajndkr/lanarky/main/lanarky/adapters/openai/responses.py | 4aec17458af12e5bd56a8b26f21a5345d685b25a | Python | 2026-05-04T01:22:58.343553 | from typing import Any
from fastapi import status
from starlette.types import Send
from lanarky.adapters.openai.resources import Message
from lanarky.events import Events, ServerSentEvent, ensure_bytes
from lanarky.logging import logger
from lanarky.responses import HTTPStatusDetail
from lanarky.responses import Stre... |
ajndkr/lanarky | https://github.com/ajndkr/lanarky | https://api.github.com/repos/ajndkr/lanarky | ajndkr | lanarky | The web framework for building LLM microservices [deprecated] | 992 | 76 | 992 | mit | main | 2023-04-07T05:36:32 | 2026-04-27T21:23:15 | [
"deprecated-repo",
"fastapi",
"llmops",
"microservices",
"python3",
"web"
] | {
"Python": 92508,
"Makefile": 1101
} | false | 9 | lanarky/adapters/openai/routing.py | routing.py | .py | 3,405 | https://github.com/ajndkr/lanarky/blob/main/lanarky/adapters/openai/routing.py | https://raw.githubusercontent.com/ajndkr/lanarky/main/lanarky/adapters/openai/routing.py | 579fc5656aa42f8fed484691e7282983e798be94 | Python | 2026-05-04T01:22:59.571406 | import inspect
from typing import Any, Callable, Optional, Sequence
from fastapi import params
from fastapi.datastructures import Default
from fastapi.routing import APIRoute, APIRouter, APIWebSocketRoute
from .utils import build_factory_api_endpoint, build_factory_websocket_endpoint
class OpenAIAPIRoute(APIRoute):... |
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