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fix: better playwright installation handling

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PeriniM 2025-01-06 02:01:17 +01:00
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89
README.md
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@ -24,21 +24,6 @@ Just say which information you want to extract and the library will do it for yo
<img src="https://raw.githubusercontent.com/VinciGit00/Scrapegraph-ai/main/docs/assets/sgai-hero.png" alt="ScrapeGraphAI Hero" style="width: 100%;"> <img src="https://raw.githubusercontent.com/VinciGit00/Scrapegraph-ai/main/docs/assets/sgai-hero.png" alt="ScrapeGraphAI Hero" style="width: 100%;">
</p> </p>
## 🔗 ScrapeGraph API & SDKs
If you are looking for a quick solution to integrate ScrapeGraph in your system, check out our powerful API [here!](https://dashboard.scrapegraphai.com/login)
<p align="center">
<img src="https://raw.githubusercontent.com/VinciGit00/Scrapegraph-ai/main/docs/assets/api-banner.png" alt="ScrapeGraph API Banner" style="width: 100%;">
</p>
We offer SDKs in both Python and Node.js, making it easy to integrate into your projects. Check them out below:
| SDK | Language | GitHub Link |
|-----------|----------|-----------------------------------------------------------------------------|
| Python SDK | Python | [scrapegraph-py](https://github.com/ScrapeGraphAI/scrapegraph-sdk/tree/main/scrapegraph-py) |
| Node.js SDK | Node.js | [scrapegraph-js](https://github.com/ScrapeGraphAI/scrapegraph-sdk/tree/main/scrapegraph-js) |
The Official API Documentation can be found [here](https://docs.scrapegraphai.com/).
## 🚀 Quick install ## 🚀 Quick install
@ -47,6 +32,7 @@ The reference page for Scrapegraph-ai is available on the official page of PyPI:
```bash ```bash
pip install scrapegraphai pip install scrapegraphai
# IMPORTANT (to fetch webpage content)
playwright install playwright install
``` ```
@ -84,13 +70,12 @@ The most common one is the `SmartScraperGraph`, which extracts information from
```python ```python
import json
from scrapegraphai.graphs import SmartScraperGraph from scrapegraphai.graphs import SmartScraperGraph
# Define the configuration for the scraping pipeline # Define the configuration for the scraping pipeline
graph_config = { graph_config = {
"llm": { "llm": {
"api_key": "YOUR_OPENAI_APIKEY", "api_key": "YOUR_OPENAI_API_KEY",
"model": "openai/gpt-4o-mini", "model": "openai/gpt-4o-mini",
}, },
"verbose": True, "verbose": True,
@ -99,33 +84,45 @@ graph_config = {
# Create the SmartScraperGraph instance # Create the SmartScraperGraph instance
smart_scraper_graph = SmartScraperGraph( smart_scraper_graph = SmartScraperGraph(
prompt="Extract me all the news from the website", prompt="Extract useful information from the webpage, including a description of what the company does, founders and social media links",
source="https://www.wired.com", source="https://scrapegraphai.com/",
config=graph_config config=graph_config
) )
# Run the pipeline # Run the pipeline
result = smart_scraper_graph.run() result = smart_scraper_graph.run()
import json
print(json.dumps(result, indent=4)) print(json.dumps(result, indent=4))
``` ```
The output will be a dictionary like the following: The output will be a dictionary like the following:
```python ```python
"result": { {
"news": [ "description": "ScrapeGraphAI transforms websites into clean, organized data for AI agents and data analytics. It offers an AI-powered API for effortless and cost-effective data extraction.",
{ "founders": [
"title": "The New Jersey Drone Mystery May Not Actually Be That Mysterious", {
"link": "https://www.wired.com/story/new-jersey-drone-mystery-maybe-not-drones/", "name": "Marco Perini",
"author": "Lily Hay Newman" "role": "Founder & Technical Lead",
}, "linkedin": "https://www.linkedin.com/in/perinim/"
{ },
"title": "Former ByteDance Intern Accused of Sabotage Among Winners of Prestigious AI Award", {
"link": "https://www.wired.com/story/bytedance-intern-best-paper-neurips/", "name": "Marco Vinciguerra",
"author": "Louise Matsakis" "role": "Founder & Software Engineer",
}, "linkedin": "https://www.linkedin.com/in/marco-vinciguerra-7ba365242/"
... },
] {
"name": "Lorenzo Padoan",
"role": "Founder & Product Engineer",
"linkedin": "https://www.linkedin.com/in/lorenzo-padoan-4521a2154/"
}
],
"social_media_links": {
"linkedin": "https://www.linkedin.com/company/101881123",
"twitter": "https://x.com/scrapegraphai",
"github": "https://github.com/ScrapeGraphAI/Scrapegraph-ai"
}
} }
``` ```
There are other pipelines that can be used to extract information from multiple pages, generate Python scripts, or even generate audio files. There are other pipelines that can be used to extract information from multiple pages, generate Python scripts, or even generate audio files.
@ -145,20 +142,30 @@ It is possible to use different LLM through APIs, such as **OpenAI**, **Groq**,
Remember to have [Ollama](https://ollama.com/) installed and download the models using the **ollama pull** command, if you want to use local models. Remember to have [Ollama](https://ollama.com/) installed and download the models using the **ollama pull** command, if you want to use local models.
## 🔍 Demo
Official streamlit demo:
[![My Skills](https://skillicons.dev/icons?i=react)](https://scrapegraph-demo-demo.streamlit.app)
Try it directly on the web using Google Colab:
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1sEZBonBMGP44CtO6GQTwAlL0BGJXjtfd?usp=sharing)
## 📖 Documentation ## 📖 Documentation
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1sEZBonBMGP44CtO6GQTwAlL0BGJXjtfd?usp=sharing)
The documentation for ScrapeGraphAI can be found [here](https://scrapegraph-ai.readthedocs.io/en/latest/). The documentation for ScrapeGraphAI can be found [here](https://scrapegraph-ai.readthedocs.io/en/latest/).
Check out also the Docusaurus [here](https://docs-oss.scrapegraphai.com/). Check out also the Docusaurus [here](https://docs-oss.scrapegraphai.com/).
## 🔗 ScrapeGraph API & SDKs
If you are looking for a quick solution to integrate ScrapeGraph in your system, check out our powerful API [here!](https://dashboard.scrapegraphai.com/login)
<p align="center">
<img src="https://raw.githubusercontent.com/VinciGit00/Scrapegraph-ai/main/docs/assets/api-banner.png" alt="ScrapeGraph API Banner" style="width: 100%;">
</p>
We offer SDKs in both Python and Node.js, making it easy to integrate into your projects. Check them out below:
| SDK | Language | GitHub Link |
|-----------|----------|-----------------------------------------------------------------------------|
| Python SDK | Python | [scrapegraph-py](https://github.com/ScrapeGraphAI/scrapegraph-sdk/tree/main/scrapegraph-py) |
| Node.js SDK | Node.js | [scrapegraph-js](https://github.com/ScrapeGraphAI/scrapegraph-sdk/tree/main/scrapegraph-js) |
The Official API Documentation can be found [here](https://docs.scrapegraphai.com/).
## 🏆 Sponsors ## 🏆 Sponsors
<div style="text-align: center;"> <div style="text-align: center;">
<a href="https://2ly.link/1zaXG"> <a href="https://2ly.link/1zaXG">

4
pyproject.toml
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@ -32,13 +32,9 @@ dependencies = [
"fastembed>=0.3.6", "fastembed>=0.3.6",
"semchunk>=2.2.0", "semchunk>=2.2.0",
"transformers>=4.44.2", "transformers>=4.44.2",
"transformers>=4.44.2",
"googlesearch-python>=1.2.5", "googlesearch-python>=1.2.5",
"async-timeout>=4.0.3", "async-timeout>=4.0.3",
"transformers>=4.44.2",
"googlesearch-python>=1.2.5",
"simpleeval>=1.0.0", "simpleeval>=1.0.0",
"async_timeout>=4.0.3",
"scrapegraph-py>=1.7.0" "scrapegraph-py>=1.7.0"
] ]

76
scrapegraphai/docloaders/chromium.py
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@ -23,9 +23,6 @@ class ChromiumLoader(BaseLoader):
requires_js_support: Flag to determine if JS rendering is required. requires_js_support: Flag to determine if JS rendering is required.
""" """
RETRY_LIMIT = 3
TIMEOUT = 10
def __init__( def __init__(
self, self,
urls: List[str], urls: List[str],
@ -37,6 +34,8 @@ class ChromiumLoader(BaseLoader):
requires_js_support: bool = False, requires_js_support: bool = False,
storage_state: Optional[str] = None, storage_state: Optional[str] = None,
browser_name: str = "chromium", #default chromium browser_name: str = "chromium", #default chromium
retry_limit: int = 1,
timeout: int = 10,
**kwargs: Any, **kwargs: Any,
): ):
"""Initialize the loader with a list of URL paths. """Initialize the loader with a list of URL paths.
@ -47,6 +46,8 @@ class ChromiumLoader(BaseLoader):
proxy: A dictionary containing proxy information; None disables protection. proxy: A dictionary containing proxy information; None disables protection.
urls: A list of URLs to scrape content from. urls: A list of URLs to scrape content from.
requires_js_support: Whether to use JS rendering for scraping. requires_js_support: Whether to use JS rendering for scraping.
retry_limit: Maximum number of retry attempts for scraping. Defaults to 3.
timeout: Maximum time in seconds to wait for scraping. Defaults to 10.
kwargs: A dictionary containing additional browser kwargs. kwargs: A dictionary containing additional browser kwargs.
Raises: Raises:
@ -68,12 +69,17 @@ class ChromiumLoader(BaseLoader):
self.requires_js_support = requires_js_support self.requires_js_support = requires_js_support
self.storage_state = storage_state self.storage_state = storage_state
self.browser_name = browser_name self.browser_name = browser_name
self.retry_limit = retry_limit
self.timeout = timeout
async def scrape(self, url:str) -> str: async def scrape(self, url:str) -> str:
if self.backend == "playwright": if self.backend == "playwright":
return await self.ascrape_playwright(url) return await self.ascrape_playwright(url)
elif self.backend == "selenium": elif self.backend == "selenium":
return await self.ascrape_undetected_chromedriver(url) try:
return await self.ascrape_undetected_chromedriver(url)
except Exception as e:
raise ValueError(f"Failed to scrape with undetected chromedriver: {e}")
else: else:
raise ValueError(f"Unsupported backend: {self.backend}") raise ValueError(f"Unsupported backend: {self.backend}")
@ -97,9 +103,9 @@ class ChromiumLoader(BaseLoader):
results = "" results = ""
attempt = 0 attempt = 0
while attempt < self.RETRY_LIMIT: while attempt < self.retry_limit:
try: try:
async with async_timeout.timeout(self.TIMEOUT): async with async_timeout.timeout(self.timeout):
# Handling browser selection # Handling browser selection
if self.backend == "selenium": if self.backend == "selenium":
if self.browser_name == "chromium": if self.browser_name == "chromium":
@ -134,9 +140,9 @@ class ChromiumLoader(BaseLoader):
except (aiohttp.ClientError, asyncio.TimeoutError) as e: except (aiohttp.ClientError, asyncio.TimeoutError) as e:
attempt += 1 attempt += 1
logger.error(f"Attempt {attempt} failed: {e}") logger.error(f"Attempt {attempt} failed: {e}")
if attempt == self.RETRY_LIMIT: if attempt == self.retry_limit:
results = ( results = (
f"Error: Network error after {self.RETRY_LIMIT} attempts - {e}" f"Error: Network error after {self.retry_limit} attempts - {e}"
) )
finally: finally:
driver.quit() driver.quit()
@ -204,7 +210,7 @@ class ChromiumLoader(BaseLoader):
results = "" results = ""
attempt = 0 attempt = 0
while attempt < self.RETRY_LIMIT: while attempt < self.retry_limit:
try: try:
async with async_playwright() as p: async with async_playwright() as p:
browser = None browser = None
@ -268,8 +274,8 @@ class ChromiumLoader(BaseLoader):
except (aiohttp.ClientError, asyncio.TimeoutError, Exception) as e: except (aiohttp.ClientError, asyncio.TimeoutError, Exception) as e:
attempt += 1 attempt += 1
logger.error(f"Attempt {attempt} failed: {e}") logger.error(f"Attempt {attempt} failed: {e}")
if attempt == self.RETRY_LIMIT: if attempt == self.retry_limit:
results = f"Error: Network error after {self.RETRY_LIMIT} attempts - {e}" results = f"Error: Network error after {self.retry_limit} attempts - {e}"
finally: finally:
await browser.close() await browser.close()
@ -283,7 +289,11 @@ class ChromiumLoader(BaseLoader):
url (str): The URL to scrape. url (str): The URL to scrape.
Returns: Returns:
str: The scraped HTML content or an error message if an exception occurs. str: The scraped HTML content
Raises:
RuntimeError: When retry limit is reached without successful scraping
ValueError: When an invalid browser name is provided
""" """
from playwright.async_api import async_playwright from playwright.async_api import async_playwright
from undetected_playwright import Malenia from undetected_playwright import Malenia
@ -292,9 +302,9 @@ class ChromiumLoader(BaseLoader):
results = "" results = ""
attempt = 0 attempt = 0
while attempt < self.RETRY_LIMIT: while attempt < self.retry_limit:
try: try:
async with async_playwright() as p, async_timeout.timeout(self.TIMEOUT): async with async_playwright() as p, async_timeout.timeout(self.timeout):
browser = None browser = None
if browser_name == "chromium": if browser_name == "chromium":
browser = await p.chromium.launch( browser = await p.chromium.launch(
@ -315,22 +325,16 @@ class ChromiumLoader(BaseLoader):
await page.wait_for_load_state(self.load_state) await page.wait_for_load_state(self.load_state)
results = await page.content() results = await page.content()
logger.info("Content scraped") logger.info("Content scraped")
break return results
except (aiohttp.ClientError, asyncio.TimeoutError, Exception) as e: except (aiohttp.ClientError, asyncio.TimeoutError, Exception) as e:
attempt += 1 attempt += 1
logger.error(f"Attempt {attempt} failed: {e}") logger.error(f"Attempt {attempt} failed: {e}")
if attempt == self.RETRY_LIMIT: if attempt == self.retry_limit:
results = f"Error: Network error after {self.RETRY_LIMIT} attempts - {e}" raise RuntimeError(f"Failed to scrape after {self.retry_limit} attempts: {str(e)}")
finally: finally:
if "browser" in locals(): await browser.close()
await browser.close()
async def ascrape_with_js_support(self, url: str, browser_name: str = "chromium") -> str:
return results
async def ascrape_with_js_support(self, url: str , browser_name:str = "chromium") -> str:
""" """
Asynchronously scrape the content of a given URL by rendering JavaScript using Playwright. Asynchronously scrape the content of a given URL by rendering JavaScript using Playwright.
@ -338,18 +342,20 @@ class ChromiumLoader(BaseLoader):
url (str): The URL to scrape. url (str): The URL to scrape.
Returns: Returns:
str: The fully rendered HTML content after JavaScript execution, str: The fully rendered HTML content after JavaScript execution
or an error message if an exception occurs.
Raises:
RuntimeError: When retry limit is reached without successful scraping
ValueError: When an invalid browser name is provided
""" """
from playwright.async_api import async_playwright from playwright.async_api import async_playwright
logger.info(f"Starting scraping with JavaScript support for {url}...") logger.info(f"Starting scraping with JavaScript support for {url}...")
results = ""
attempt = 0 attempt = 0
while attempt < self.RETRY_LIMIT: while attempt < self.retry_limit:
try: try:
async with async_playwright() as p, async_timeout.timeout(self.TIMEOUT): async with async_playwright() as p, async_timeout.timeout(self.timeout):
browser = None browser = None
if browser_name == "chromium": if browser_name == "chromium":
browser = await p.chromium.launch( browser = await p.chromium.launch(
@ -368,19 +374,15 @@ class ChromiumLoader(BaseLoader):
await page.goto(url, wait_until="networkidle") await page.goto(url, wait_until="networkidle")
results = await page.content() results = await page.content()
logger.info("Content scraped after JavaScript rendering") logger.info("Content scraped after JavaScript rendering")
break return results
except (aiohttp.ClientError, asyncio.TimeoutError, Exception) as e: except (aiohttp.ClientError, asyncio.TimeoutError, Exception) as e:
attempt += 1 attempt += 1
logger.error(f"Attempt {attempt} failed: {e}") logger.error(f"Attempt {attempt} failed: {e}")
if attempt == self.RETRY_LIMIT: if attempt == self.retry_limit:
results = ( raise RuntimeError(f"Failed to scrape after {self.retry_limit} attempts: {str(e)}")
f"Error: Network error after {self.RETRY_LIMIT} attempts - {e}"
)
finally: finally:
await browser.close() await browser.close()
return results
def lazy_load(self) -> Iterator[Document]: def lazy_load(self) -> Iterator[Document]:
""" """
Lazily load text content from the provided URLs. Lazily load text content from the provided URLs.

4
scrapegraphai/nodes/generate_answer_node.py
View File

@ -12,10 +12,8 @@ from langchain_aws import ChatBedrock
from langchain_community.chat_models import ChatOllama from langchain_community.chat_models import ChatOllama
from tqdm import tqdm from tqdm import tqdm
from .base_node import BaseNode from .base_node import BaseNode
from ..utils.output_parser import get_structured_output_parser, get_pydantic_output_parser from ..utils.output_parser import get_pydantic_output_parser
from requests.exceptions import Timeout from requests.exceptions import Timeout
from langchain.callbacks.manager import CallbackManager
from langchain.callbacks import get_openai_callback
from ..prompts import ( from ..prompts import (
TEMPLATE_CHUNKS, TEMPLATE_NO_CHUNKS, TEMPLATE_MERGE, TEMPLATE_CHUNKS, TEMPLATE_NO_CHUNKS, TEMPLATE_MERGE,
TEMPLATE_CHUNKS_MD, TEMPLATE_NO_CHUNKS_MD, TEMPLATE_MERGE_MD TEMPLATE_CHUNKS_MD, TEMPLATE_NO_CHUNKS_MD, TEMPLATE_MERGE_MD

3
scrapegraphai/utils/llm_callback_manager.py
View File

@ -7,8 +7,7 @@ Classes:
import threading import threading
from contextlib import contextmanager from contextlib import contextmanager
from langchain_community.callbacks import get_openai_callback from langchain_community.callbacks.manager import get_openai_callback, get_bedrock_anthropic_callback
from langchain_community.callbacks.manager import get_bedrock_anthropic_callback
from langchain_openai import ChatOpenAI, AzureChatOpenAI from langchain_openai import ChatOpenAI, AzureChatOpenAI
from langchain_aws import ChatBedrock from langchain_aws import ChatBedrock
from .custom_callback import get_custom_callback from .custom_callback import get_custom_callback

173
uv.lock
View File

@ -1,21 +1,51 @@
version = 1 version = 1
requires-python = ">=3.10, <4.0" requires-python = ">=3.10, <4.0"
resolution-markers = [ resolution-markers = [
"python_full_version < '3.11' and sys_platform == 'darwin'", "python_full_version < '3.11' and platform_system == 'Darwin' and sys_platform == 'darwin'",
"python_full_version < '3.11' and platform_machine == 'aarch64' and sys_platform == 'linux'", "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'darwin'",
"(python_full_version < '3.11' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform != 'darwin' and sys_platform != 'linux')", "(python_full_version < '3.11' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform == 'darwin') or (python_full_version < '3.11' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'darwin')",
"python_full_version == '3.11.*' and sys_platform == 'darwin'", "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Darwin' and sys_platform == 'linux'",
"python_full_version == '3.11.*' and platform_machine == 'aarch64' and sys_platform == 'linux'", "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'linux'",
"(python_full_version == '3.11.*' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version == '3.11.*' and sys_platform != 'darwin' and sys_platform != 'linux')", "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'linux'",
"python_full_version >= '3.12' and python_full_version < '3.12.4' and sys_platform == 'darwin'", "(python_full_version < '3.11' and platform_machine != 'aarch64' and platform_system == 'Darwin' and sys_platform != 'darwin') or (python_full_version < '3.11' and platform_system == 'Darwin' and sys_platform != 'darwin' and sys_platform != 'linux')",
"python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and sys_platform == 'linux'", "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux'",
"(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and sys_platform != 'darwin' and sys_platform != 'linux')", "(python_full_version < '3.11' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform != 'darwin') or (python_full_version < '3.11' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux')",
"python_full_version >= '3.12.4' and python_full_version < '3.13' and sys_platform == 'darwin'", "python_full_version == '3.11.*' and platform_system == 'Darwin' and sys_platform == 'darwin'",
"python_full_version >= '3.13' and sys_platform == 'darwin'", "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'darwin'",
"python_full_version >= '3.12.4' and python_full_version < '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux'", "(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform == 'darwin') or (python_full_version == '3.11.*' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'darwin')",
"python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux'", "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Darwin' and sys_platform == 'linux'",
"(python_full_version >= '3.12.4' and python_full_version < '3.13' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12.4' and python_full_version < '3.13' and sys_platform != 'darwin' and sys_platform != 'linux')", "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'linux'",
"(python_full_version >= '3.13' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.13' and sys_platform != 'darwin' and sys_platform != 'linux')", "python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'linux'",
"(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_system == 'Darwin' and sys_platform != 'darwin') or (python_full_version == '3.11.*' and platform_system == 'Darwin' and sys_platform != 'darwin' and sys_platform != 'linux')",
"python_full_version == '3.11.*' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux'",
"(python_full_version == '3.11.*' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform != 'darwin') or (python_full_version == '3.11.*' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform != 'darwin' and sys_platform != 'linux')",
"python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_system == 'Darwin' and sys_platform == 'darwin'",
"python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'darwin'",
"(python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine != 'aarch64' and platform_system != 'Darwin' and sys_platform == 'darwin') or (python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'darwin')",
"python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Darwin' and sys_platform == 'linux'",
"python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system == 'Linux' and sys_platform == 'linux'",
"python_full_version >= '3.12' and python_full_version < '3.12.4' and platform_machine == 'aarch64' and platform_system != 'Darwin' and platform_system != 'Linux' and sys_platform == 'linux'",
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