repo_id stringclasses 20
values | file_path stringlengths 44 119 | content stringlengths 460 28.1k | __index_level_0__ int64 0 0 | index int64 90 4.01k | secrets stringlengths 68 2.61k | has_secrets bool 1
class | number_secrets int64 1 28 | new_content stringlengths 454 28.4k | modified bool 1
class | references stringlengths 469 28.8k |
|---|---|---|---|---|---|---|---|---|---|---|
hf_public_repos/langchain-ai/langchain/libs/langchain/tests/unit_tests | hf_public_repos/langchain-ai/langchain/libs/langchain/tests/unit_tests/document_loaders/test_confluence.py | import unittest
from typing import Dict
from unittest.mock import MagicMock, patch
import pytest
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.confluence import ConfluenceLoader, ContentFormat
@pytest.fixture
def mock_confluence(): # type: ignore
with patch("a... | 0 | 1,929 | [{"tag": "EMAIL", "value": "user@gmail.com", "start": 551, "end": 565}, {"tag": "EMAIL", "value": "user@gmail.com", "start": 983, "end": 997}] | true | 2 | import unittest
from typing import Dict
from unittest.mock import MagicMock, patch
import pytest
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.confluence import ConfluenceLoader, ContentFormat
@pytest.fixture
def mock_confluence(): # type: ignore
with patch("a... | true | import unittest
from typing import Dict
from unittest.mock import MagicMock, patch
import pytest
import requests
from langchain.docstore.document import Document
from langchain.document_loaders.confluence import ConfluenceLoader, ContentFormat
@pytest.fixture
def mock_confluence(): # type: ignore
with patch("a... |
hf_public_repos/langchain-ai/langchain/libs/langchain/langchain | hf_public_repos/langchain-ai/langchain/libs/langchain/langchain/llms/replicate.py | from __future__ import annotations
import logging
from typing import TYPE_CHECKING, Any, Dict, Iterator, List, Optional
from langchain.callbacks.manager import CallbackManagerForLLMRun
from langchain.llms.base import LLM
from langchain.pydantic_v1 import Extra, Field, root_validator
from langchain.schema.output impor... | 0 | 2,192 | [{"tag": "KEY", "value": "27b93a2413e7f36cd83da926f3656280b2931564ff050bf9575f1fdf9bcd7478", "start": 1136, "end": 1200}] | true | 1 | from __future__ import annotations
import logging
from typing import TYPE_CHECKING, Any, Dict, Iterator, List, Optional
from langchain.callbacks.manager import CallbackManagerForLLMRun
from langchain.llms.base import LLM
from langchain.pydantic_v1 import Extra, Field, root_validator
from langchain.schema.output impor... | true | from __future__ import annotations
import logging
from typing import TYPE_CHECKING, Any, Dict, Iterator, List, Optional
from langchain.callbacks.manager import CallbackManagerForLLMRun
from langchain.llms.base import LLM
from langchain.pydantic_v1 import Extra, Field, root_validator
from langchain.schema.output impor... |
hf_public_repos/gkamradt/langchain-tutorials/data | hf_public_repos/gkamradt/langchain-tutorials/data/thefuzz/setup.py | #!/usr/bin/env python
# Copyright (c) 2014 SeatGeek
# This file is part of thefuzz.
from thefuzz import __version__
import os
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
def open_file(fname):
return open(os.path.join(os.path.dirname(__file__), fname))
setup... | 0 | 136 | [{"tag": "EMAIL", "value": "adam@seatgeek.com", "start": 410, "end": 427}] | true | 1 | #!/usr/bin/env python
# Copyright (c) 2014 SeatGeek
# This file is part of thefuzz.
from thefuzz import __version__
import os
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
def open_file(fname):
return open(os.path.join(os.path.dirname(__file__), fname))
setup... | true | #!/usr/bin/env python
# Copyright (c) 2014 SeatGeek
# This file is part of thefuzz.
from thefuzz import __version__
import os
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
def open_file(fname):
return open(os.path.join(os.path.dirname(__file__), fname))
setup... |
hf_public_repos/zilliztech/GPTCache/tests/unit_tests | hf_public_repos/zilliztech/GPTCache/tests/unit_tests/processor/test_context.py | from tempfile import TemporaryDirectory
from typing import Any, Dict
from unittest.mock import patch
from gptcache import cache
from gptcache.adapter import openai
from gptcache.manager import manager_factory
from gptcache.processor import ContextProcess
from gptcache.processor.pre import all_content
from gptcache.uti... | 0 | 866 | [{"tag": "KEY", "value": "chatcmpl-6ptKyqKOGXZT6iQnqiXAH8adNLUzD", "start": 1561, "end": 1599}] | true | 1 | from tempfile import TemporaryDirectory
from typing import Any, Dict
from unittest.mock import patch
from gptcache import cache
from gptcache.adapter import openai
from gptcache.manager import manager_factory
from gptcache.processor import ContextProcess
from gptcache.processor.pre import all_content
from gptcache.uti... | true | from tempfile import TemporaryDirectory
from typing import Any, Dict
from unittest.mock import patch
from gptcache import cache
from gptcache.adapter import openai
from gptcache.manager import manager_factory
from gptcache.processor import ContextProcess
from gptcache.processor.pre import all_content
from gptcache.uti... |
hf_public_repos/langchain-ai/langchain/docs/docs/integrations | hf_public_repos/langchain-ai/langchain/docs/docs/integrations/vectorstores/vearch.ipynb | from langchain.document_loaders import TextLoader
from langchain.embeddings.huggingface import HuggingFaceEmbeddings
from langchain.text_splitter import RecursiveCharacterTextSplitter
from transformers import AutoModel, AutoTokenizer
from langchain.vectorstores.vearch import Vearch
# repalce to your local model path
m... | 0 | 3,535 | [{"tag": "KEY", "value": "2776754da8fc4bb58d3e482006010716", "start": 5018, "end": 5050}, {"tag": "KEY", "value": "2776754da8fc4bb58d3e482006010716", "start": 5692, "end": 5724}, {"tag": "KEY", "value": "9776bccfdd8643a8b219ccee0596f370", "start": 5977, "end": 6009}, {"tag": "KEY", "value": "9223acd6d89d4c2c84ff42677ac... | true | 6 | from langchain.document_loaders import TextLoader
from langchain.embeddings.huggingface import HuggingFaceEmbeddings
from langchain.text_splitter import RecursiveCharacterTextSplitter
from transformers import AutoModel, AutoTokenizer
from langchain.vectorstores.vearch import Vearch
# repalce to your local model path
m... | true | from langchain.document_loaders import TextLoader
from langchain.embeddings.huggingface import HuggingFaceEmbeddings
from langchain.text_splitter import RecursiveCharacterTextSplitter
from transformers import AutoModel, AutoTokenizer
from langchain.vectorstores.vearch import Vearch
# repalce to your local model path
m... |
hf_public_repos/langchain-ai/langchain/libs/langchain/langchain | hf_public_repos/langchain-ai/langchain/libs/langchain/langchain/retrievers/you.py | from typing import Any, Dict, List, Optional
from langchain.callbacks.manager import CallbackManagerForRetrieverRun
from langchain.pydantic_v1 import root_validator
from langchain.schema import BaseRetriever, Document
from langchain.utils import get_from_dict_or_env
class YouRetriever(BaseRetriever):
"""`You` re... | 0 | 2,956 | [{"tag": "EMAIL", "value": "api@you.com", "start": 449, "end": 460}] | true | 1 | from typing import Any, Dict, List, Optional
from langchain.callbacks.manager import CallbackManagerForRetrieverRun
from langchain.pydantic_v1 import root_validator
from langchain.schema import BaseRetriever, Document
from langchain.utils import get_from_dict_or_env
class YouRetriever(BaseRetriever):
"""`You` re... | true | from typing import Any, Dict, List, Optional
from langchain.callbacks.manager import CallbackManagerForRetrieverRun
from langchain.pydantic_v1 import root_validator
from langchain.schema import BaseRetriever, Document
from langchain.utils import get_from_dict_or_env
class YouRetriever(BaseRetriever):
"""`You` re... |
hf_public_repos/langchain-ai/langchain/libs/langchain/tests/unit_tests | hf_public_repos/langchain-ai/langchain/libs/langchain/tests/unit_tests/document_loaders/test_git.py | import os
import py
import pytest
from langchain.document_loaders import GitLoader
def init_repo(tmpdir: py.path.local, dir_name: str) -> str:
from git import Repo
repo_dir = tmpdir.mkdir(dir_name)
repo = Repo.init(repo_dir)
git = repo.git
git.checkout(b="main")
git.config("user.name", "Te... | 0 | 1,938 | [{"tag": "EMAIL", "value": "test@example.com", "start": 360, "end": 376}] | true | 1 | import os
import py
import pytest
from langchain.document_loaders import GitLoader
def init_repo(tmpdir: py.path.local, dir_name: str) -> str:
from git import Repo
repo_dir = tmpdir.mkdir(dir_name)
repo = Repo.init(repo_dir)
git = repo.git
git.checkout(b="main")
git.config("user.name", "Te... | true | import os
import py
import pytest
from langchain.document_loaders import GitLoader
def init_repo(tmpdir: py.path.local, dir_name: str) -> str:
from git import Repo
repo_dir = tmpdir.mkdir(dir_name)
repo = Repo.init(repo_dir)
git = repo.git
git.checkout(b="main")
git.config("user.name", "Te... |
hf_public_repos/langchain-ai/langchain/libs/langchain/tests/integration_tests | hf_public_repos/langchain-ai/langchain/libs/langchain/tests/integration_tests/vectorstores/test_atlas.py | """Test Atlas functionality."""
import time
from langchain.vectorstores import AtlasDB
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
ATLAS_TEST_API_KEY = "7xDPkYXSYDc1_ErdTPIcoAR9RNd8YDlkS3nVNXcVoIMZ6"
def test_atlas() -> None:
"""Test end to end construction and search."""
... | 0 | 1,441 | [{"tag": "KEY", "value": "7xDPkYXSYDc1_ErdTPIcoAR9RNd8YDlkS3nVNXcVoIMZ6", "start": 191, "end": 236}] | true | 1 | """Test Atlas functionality."""
import time
from langchain.vectorstores import AtlasDB
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
ATLAS_TEST_API_KEY = "ax5kh6jaqkcd2tiexxs8v6xjo8yv8a6b"
def test_atlas() -> None:
"""Test end to end construction and search."""
texts = ["fo... | true | """Test Atlas functionality."""
import time
from langchain.vectorstores import AtlasDB
from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
ATLAS_TEST_API_KEY = "PI:KEY:ax5kh6jaqkcd2tiexxs8v6xjo8yv8a6bEND_PI"
def test_atlas() -> None:
"""Test end to end construction and search."""
... |
hf_public_repos/langchain-ai/langchain/libs/langchain/langchain | hf_public_repos/langchain-ai/langchain/libs/langchain/langchain/utilities/pubmed.py | import json
import logging
import time
import urllib.error
import urllib.parse
import urllib.request
from typing import Any, Dict, Iterator, List
from langchain.pydantic_v1 import BaseModel, root_validator
from langchain.schema import Document
logger = logging.getLogger(__name__)
class PubMedAPIWrapper(BaseModel):
... | 0 | 2,689 | [{"tag": "EMAIL", "value": "your_email@example.com", "start": 1576, "end": 1598}] | true | 1 | import json
import logging
import time
import urllib.error
import urllib.parse
import urllib.request
from typing import Any, Dict, Iterator, List
from langchain.pydantic_v1 import BaseModel, root_validator
from langchain.schema import Document
logger = logging.getLogger(__name__)
class PubMedAPIWrapper(BaseModel):
... | true | import json
import logging
import time
import urllib.error
import urllib.parse
import urllib.request
from typing import Any, Dict, Iterator, List
from langchain.pydantic_v1 import BaseModel, root_validator
from langchain.schema import Document
logger = logging.getLogger(__name__)
class PubMedAPIWrapper(BaseModel):
... |
hf_public_repos/langchain-ai/langchain/libs/langchain/tests/integration_tests | hf_public_repos/langchain-ai/langchain/libs/langchain/tests/integration_tests/document_loaders/test_mastodon.py | """Tests for the Mastodon toots loader"""
from langchain.document_loaders import MastodonTootsLoader
def test_mastodon_toots_loader() -> None:
"""Test Mastodon toots loader with an external query."""
# Query the Mastodon CEO's account
loader = MastodonTootsLoader(
mastodon_accounts=["@Gargron@mast... | 0 | 1,633 | [{"tag": "EMAIL", "value": "Gargron@mastodon.social", "start": 308, "end": 331}] | true | 1 | """Tests for the Mastodon toots loader"""
from langchain.document_loaders import MastodonTootsLoader
def test_mastodon_toots_loader() -> None:
"""Test Mastodon toots loader with an external query."""
# Query the Mastodon CEO's account
loader = MastodonTootsLoader(
mastodon_accounts=["@kenaa@exampl... | true | """Tests for the Mastodon toots loader"""
from langchain.document_loaders import MastodonTootsLoader
def test_mastodon_toots_loader() -> None:
"""Test Mastodon toots loader with an external query."""
# Query the Mastodon CEO's account
loader = MastodonTootsLoader(
mastodon_accounts=["@PI:EMAIL:ken... |
hf_public_repos/zilliztech/GPTCache/tests/unit_tests | hf_public_repos/zilliztech/GPTCache/tests/unit_tests/adapter/test_langchain_models.py | import asyncio
import os
import random
from unittest.mock import patch
from gptcache import Cache, Config
from gptcache.adapter import openai
from gptcache.adapter.api import init_similar_cache, get
from gptcache.adapter.langchain_models import LangChainLLMs, LangChainChat, _cache_msg_data_convert
from gptcache.proces... | 0 | 859 | [{"tag": "KEY", "value": "chatcmpl-6ptKyqKOGXZT6iQnqiXAH8adNLUzD", "start": 5596, "end": 5634}, {"tag": "KEY", "value": "chatcmpl-6ptKqrhgRoVchm58Bby0UvJzq2ZuQ", "start": 1446, "end": 1484}, {"tag": "KEY", "value": "chatcmpl-6ptKqrhgRoVchm58Bby0UvJzq2ZuQ", "start": 3146, "end": 3184}, {"tag": "KEY", "value": "chatcmpl-... | true | 4 | import asyncio
import os
import random
from unittest.mock import patch
from gptcache import Cache, Config
from gptcache.adapter import openai
from gptcache.adapter.api import init_similar_cache, get
from gptcache.adapter.langchain_models import LangChainLLMs, LangChainChat, _cache_msg_data_convert
from gptcache.proces... | true | import asyncio
import os
import random
from unittest.mock import patch
from gptcache import Cache, Config
from gptcache.adapter import openai
from gptcache.adapter.api import init_similar_cache, get
from gptcache.adapter.langchain_models import LangChainLLMs, LangChainChat, _cache_msg_data_convert
from gptcache.proces... |
hf_public_repos/langchain-ai/langchain/docs/docs/integrations | hf_public_repos/langchain-ai/langchain/docs/docs/integrations/document_loaders/mastodon.ipynb | from langchain.document_loaders import MastodonTootsLoader#!pip install Mastodon.pyloader = MastodonTootsLoader(
mastodon_accounts=["@Gargron@mastodon.social"],
number_toots=50, # Default value is 100
)
# Or set up access information to use a Mastodon app.
# Note that the access token can either be passed int... | 0 | 3,916 | [{"tag": "EMAIL", "value": "Gargron@mastodon.social", "start": 138, "end": 161}, {"tag": "EMAIL", "value": "Gargron@mastodon.social", "start": 566, "end": 589}] | true | 2 | from langchain.document_loaders import MastodonTootsLoader#!pip install Mastodon.pyloader = MastodonTootsLoader(
mastodon_accounts=["@anpch@example.com"],
number_toots=50, # Default value is 100
)
# Or set up access information to use a Mastodon app.
# Note that the access token can either be passed into
# co... | true | from langchain.document_loaders import MastodonTootsLoader#!pip install Mastodon.pyloader = MastodonTootsLoader(
mastodon_accounts=["@PI:EMAIL:anpch@example.comEND_PI"],
number_toots=50, # Default value is 100
)
# Or set up access information to use a Mastodon app.
# Note that the access token can either be p... |
hf_public_repos/zilliztech | hf_public_repos/zilliztech/GPTCache/setup.py | import codecs
import os
import re
from typing import List
import setuptools
from setuptools import find_packages
here = os.path.abspath(os.path.dirname(__file__))
with open("README.md", "r") as fh:
long_description = fh.read()
def parse_requirements(file_name: str) -> List[str]:
with open(file_name) as f:... | 0 | 782 | [{"tag": "EMAIL", "value": "bang.fu@zilliz.com", "start": 1000, "end": 1018}] | true | 1 | import codecs
import os
import re
from typing import List
import setuptools
from setuptools import find_packages
here = os.path.abspath(os.path.dirname(__file__))
with open("README.md", "r") as fh:
long_description = fh.read()
def parse_requirements(file_name: str) -> List[str]:
with open(file_name) as f:... | true | import codecs
import os
import re
from typing import List
import setuptools
from setuptools import find_packages
here = os.path.abspath(os.path.dirname(__file__))
with open("README.md", "r") as fh:
long_description = fh.read()
def parse_requirements(file_name: str) -> List[str]:
with open(file_name) as f:... |
hf_public_repos/langchain-ai/langchain/libs/experimental/tests | hf_public_repos/langchain-ai/langchain/libs/experimental/tests/unit_tests/test_reversible_data_anonymizer.py | import os
from typing import Iterator, List
import pytest
from . import is_libcublas_available
@pytest.fixture(scope="module", autouse=True)
def check_spacy_model() -> Iterator[None]:
import spacy
if not spacy.util.is_package("en_core_web_lg"):
pytest.skip(reason="Spacy model 'en_core_web_lg' not i... | 0 | 1,319 | [{"tag": "EMAIL", "value": "johnsmith@gmail.com", "start": 2213, "end": 2232}, {"tag": "EMAIL", "value": "johnsmith@gmail.com", "start": 2381, "end": 2400}, {"tag": "EMAIL", "value": "jane@gmail.com", "start": 6241, "end": 6255}, {"tag": "EMAIL", "value": "jane@gmail.com", "start": 6593, "end": 6607}] | true | 4 | import os
from typing import Iterator, List
import pytest
from . import is_libcublas_available
@pytest.fixture(scope="module", autouse=True)
def check_spacy_model() -> Iterator[None]:
import spacy
if not spacy.util.is_package("en_core_web_lg"):
pytest.skip(reason="Spacy model 'en_core_web_lg' not i... | true | import os
from typing import Iterator, List
import pytest
from . import is_libcublas_available
@pytest.fixture(scope="module", autouse=True)
def check_spacy_model() -> Iterator[None]:
import spacy
if not spacy.util.is_package("en_core_web_lg"):
pytest.skip(reason="Spacy model 'en_core_web_lg' not i... |
hf_public_repos/langchain-ai/langchain/docs/docs/integrations | hf_public_repos/langchain-ai/langchain/docs/docs/integrations/vectorstores/atlas.ipynb | import time
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.text_splitter import SpacyTextSplitter
from langchain.vectorstores import AtlasDB
from langchain.document_loaders import TextLoaderATLAS_TEST_API_KEY = "7xDPkYXSYDc1_ErdTPIcoAR9RNd8YDlkS3nVNXcVoIMZ6"loader = TextLoader("../../modules/st... | 0 | 3,538 | [{"tag": "KEY", "value": "7xDPkYXSYDc1_ErdTPIcoAR9RNd8YDlkS3nVNXcVoIMZ6", "start": 237, "end": 282}] | true | 1 | import time
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.text_splitter import SpacyTextSplitter
from langchain.vectorstores import AtlasDB
from langchain.document_loaders import TextLoaderATLAS_TEST_API_KEY = "ngw6fo1pu3tjgnp9jnlp7vnwvfqb9yn7"loader = TextLoader("../../modules/state_of_the_un... | true | import time
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.text_splitter import SpacyTextSplitter
from langchain.vectorstores import AtlasDB
from langchain.document_loaders import TextLoaderATLAS_TEST_API_KEY = "PI:KEY:ngw6fo1pu3tjgnp9jnlp7vnwvfqb9yn7END_PI"loader = TextLoader("../../modules/st... |
hf_public_repos/langchain-ai/langchain/docs/docs/guides | hf_public_repos/langchain-ai/langchain/docs/docs/guides/safety/amazon_comprehend_chain.ipynb | %pip install boto3 nltk%pip install -U langchain_experimental%pip install -U langchain pydanticimport boto3
import os
comprehend_client = boto3.client("comprehend", region_name="us-east-1")from langchain_experimental.comprehend_moderation import AmazonComprehendModerationChain
comprehend_moderation = AmazonComprehend... | 0 | 4,006 | [{"tag": "EMAIL", "value": "john.doe@email.com", "start": 4529, "end": 4547}, {"tag": "EMAIL", "value": "johndoe@example.com", "start": 7770, "end": 7789}, {"tag": "EMAIL", "value": "johndoe@example.com", "start": 9392, "end": 9411}] | true | 3 | %pip install boto3 nltk%pip install -U langchain_experimental%pip install -U langchain pydanticimport boto3
import os
comprehend_client = boto3.client("comprehend", region_name="us-east-1")from langchain_experimental.comprehend_moderation import AmazonComprehendModerationChain
comprehend_moderation = AmazonComprehend... | true | %pip install boto3 nltk%pip install -U langchain_experimental%pip install -U langchain pydanticimport boto3
import os
comprehend_client = boto3.client("comprehend", region_name="us-east-1")from langchain_experimental.comprehend_moderation import AmazonComprehendModerationChain
comprehend_moderation = AmazonComprehend... |
hf_public_repos/gkamradt/langchain-tutorials | hf_public_repos/gkamradt/langchain-tutorials/agents/Agents + ZapierToolkit.ipynb | from langchain.llms import OpenAI
from langchain.agents import initialize_agent
from langchain.agents.agent_toolkits import ZapierToolkit
from langchain.utilities.zapier import ZapierNLAWrapper
import osos.environ["OPENAI_API_KEY"] = 'YourAPIKey'
os.environ["ZAPIER_NLA_API_KEY"] = 'YourAPIKey'llm = OpenAI(temperature=0... | 0 | 147 | [{"tag": "EMAIL", "value": "greg@DataIndependent.com", "start": 1088, "end": 1112}] | true | 1 | from langchain.llms import OpenAI
from langchain.agents import initialize_agent
from langchain.agents.agent_toolkits import ZapierToolkit
from langchain.utilities.zapier import ZapierNLAWrapper
import osos.environ["OPENAI_API_KEY"] = 'YourAPIKey'
os.environ["ZAPIER_NLA_API_KEY"] = 'YourAPIKey'llm = OpenAI(temperature=0... | true | from langchain.llms import OpenAI
from langchain.agents import initialize_agent
from langchain.agents.agent_toolkits import ZapierToolkit
from langchain.utilities.zapier import ZapierNLAWrapper
import osos.environ["OPENAI_API_KEY"] = 'YourAPIKey'
os.environ["ZAPIER_NLA_API_KEY"] = 'YourAPIKey'llm = OpenAI(temperature=0... |
hf_public_repos/langchain-ai/langchain/docs/docs/integrations | hf_public_repos/langchain-ai/langchain/docs/docs/integrations/document_transformers/doctran_translate_document.ipynb | from langchain.schema import Document
from langchain.document_transformers import DoctranTextTranslatorfrom dotenv import load_dotenv
load_dotenv()sample_text = """[Generated with ChatGPT]
Confidential Document - For Internal Use Only
Date: July 1, 2023
Subject: Updates and Discussions on Various Topics
Dear Team,... | 0 | 3,791 | [{"tag": "EMAIL", "value": "john.doe@example.com", "start": 781, "end": 801}, {"tag": "EMAIL", "value": "security@example.com", "start": 1124, "end": 1144}, {"tag": "EMAIL", "value": "michael.johnson@example.com", "start": 1728, "end": 1755}, {"tag": "EMAIL", "value": "david.rodriguez@example.com", "start": 2551, "end"... | true | 5 | from langchain.schema import Document
from langchain.document_transformers import DoctranTextTranslatorfrom dotenv import load_dotenv
load_dotenv()sample_text = """[Generated with ChatGPT]
Confidential Document - For Internal Use Only
Date: July 1, 2023
Subject: Updates and Discussions on Various Topics
Dear Team,... | true | from langchain.schema import Document
from langchain.document_transformers import DoctranTextTranslatorfrom dotenv import load_dotenv
load_dotenv()sample_text = """[Generated with ChatGPT]
Confidential Document - For Internal Use Only
Date: July 1, 2023
Subject: Updates and Discussions on Various Topics
Dear Team,... |
hf_public_repos/langchain-ai/langchain/docs/docs/integrations | hf_public_repos/langchain-ai/langchain/docs/docs/integrations/document_transformers/doctran_extract_properties.ipynb | import json
from langchain.schema import Document
from langchain.document_transformers import DoctranPropertyExtractorfrom dotenv import load_dotenv
load_dotenv()sample_text = """[Generated with ChatGPT]
Confidential Document - For Internal Use Only
Date: July 1, 2023
Subject: Updates and Discussions on Various Top... | 0 | 3,792 | [{"tag": "EMAIL", "value": "john.doe@example.com", "start": 796, "end": 816}, {"tag": "EMAIL", "value": "security@example.com", "start": 1139, "end": 1159}, {"tag": "EMAIL", "value": "michael.johnson@example.com", "start": 1743, "end": 1770}, {"tag": "EMAIL", "value": "david.rodriguez@example.com", "start": 2566, "end"... | true | 5 | import json
from langchain.schema import Document
from langchain.document_transformers import DoctranPropertyExtractorfrom dotenv import load_dotenv
load_dotenv()sample_text = """[Generated with ChatGPT]
Confidential Document - For Internal Use Only
Date: July 1, 2023
Subject: Updates and Discussions on Various Top... | true | import json
from langchain.schema import Document
from langchain.document_transformers import DoctranPropertyExtractorfrom dotenv import load_dotenv
load_dotenv()sample_text = """[Generated with ChatGPT]
Confidential Document - For Internal Use Only
Date: July 1, 2023
Subject: Updates and Discussions on Various Top... |
hf_public_repos/langchain-ai/langchain/docs/docs/integrations | hf_public_repos/langchain-ai/langchain/docs/docs/integrations/document_transformers/doctran_interrogate_document.ipynb | import json
from langchain.schema import Document
from langchain.document_transformers import DoctranQATransformerfrom dotenv import load_dotenv
load_dotenv()sample_text = """[Generated with ChatGPT]
Confidential Document - For Internal Use Only
Date: July 1, 2023
Subject: Updates and Discussions on Various Topics
... | 0 | 3,793 | [{"tag": "EMAIL", "value": "john.doe@example.com", "start": 792, "end": 812}, {"tag": "EMAIL", "value": "security@example.com", "start": 1135, "end": 1155}, {"tag": "EMAIL", "value": "michael.johnson@example.com", "start": 1739, "end": 1766}, {"tag": "EMAIL", "value": "david.rodriguez@example.com", "start": 2562, "end"... | true | 5 | import json
from langchain.schema import Document
from langchain.document_transformers import DoctranQATransformerfrom dotenv import load_dotenv
load_dotenv()sample_text = """[Generated with ChatGPT]
Confidential Document - For Internal Use Only
Date: July 1, 2023
Subject: Updates and Discussions on Various Topics
... | true | import json
from langchain.schema import Document
from langchain.document_transformers import DoctranQATransformerfrom dotenv import load_dotenv
load_dotenv()sample_text = """[Generated with ChatGPT]
Confidential Document - For Internal Use Only
Date: July 1, 2023
Subject: Updates and Discussions on Various Topics
... |
hf_public_repos/langchain-ai/langchain/libs/experimental/tests | hf_public_repos/langchain-ai/langchain/libs/experimental/tests/unit_tests/test_data_anonymizer.py | from typing import Iterator, List
import pytest
from . import is_libcublas_available
@pytest.fixture(scope="module", autouse=True)
def check_spacy_model() -> Iterator[None]:
import spacy
if not spacy.util.is_package("en_core_web_lg"):
pytest.skip(reason="Spacy model 'en_core_web_lg' not installed")... | 0 | 1,314 | [{"tag": "EMAIL", "value": "johnsmith@gmail.com", "start": 2153, "end": 2172}, {"tag": "EMAIL", "value": "johnsmith@gmail.com", "start": 2311, "end": 2330}, {"tag": "EMAIL", "value": "wdavis@example.net", "start": 6008, "end": 6026}, {"tag": "EMAIL", "value": "real.slim.shady@gmail.com", "start": 6030, "end": 6055}, {"... | true | 11 | from typing import Iterator, List
import pytest
from . import is_libcublas_available
@pytest.fixture(scope="module", autouse=True)
def check_spacy_model() -> Iterator[None]:
import spacy
if not spacy.util.is_package("en_core_web_lg"):
pytest.skip(reason="Spacy model 'en_core_web_lg' not installed")... | true | from typing import Iterator, List
import pytest
from . import is_libcublas_available
@pytest.fixture(scope="module", autouse=True)
def check_spacy_model() -> Iterator[None]:
import spacy
if not spacy.util.is_package("en_core_web_lg"):
pytest.skip(reason="Spacy model 'en_core_web_lg' not installed")... |
hf_public_repos/langchain-ai/langchain/docs/docs/integrations | hf_public_repos/langchain-ai/langchain/docs/docs/integrations/memory/sql_chat_message_history.ipynb | from langchain.memory.chat_message_histories import SQLChatMessageHistory
chat_message_history = SQLChatMessageHistory(
session_id="test_session", connection_string="sqlite:///sqlite.db"
)
chat_message_history.add_user_message("Hello")
chat_message_history.add_ai_message("Hi")chat_message_history.messagesfrom dat... | 0 | 3,696 | [{"tag": "EMAIL", "value": "test@example.com", "start": 2180, "end": 2196}] | true | 1 | from langchain.memory.chat_message_histories import SQLChatMessageHistory
chat_message_history = SQLChatMessageHistory(
session_id="test_session", connection_string="sqlite:///sqlite.db"
)
chat_message_history.add_user_message("Hello")
chat_message_history.add_ai_message("Hi")chat_message_history.messagesfrom dat... | true | from langchain.memory.chat_message_histories import SQLChatMessageHistory
chat_message_history = SQLChatMessageHistory(
session_id="test_session", connection_string="sqlite:///sqlite.db"
)
chat_message_history.add_user_message("Hello")
chat_message_history.add_ai_message("Hi")chat_message_history.messagesfrom dat... |
hf_public_repos/langchain-ai/langchain/libs/langchain/langchain/tools | hf_public_repos/langchain-ai/langchain/libs/langchain/langchain/tools/office365/messages_search.py | """Util that Searches email messages in Office 365.
Free, but setup is required. See link below.
https://learn.microsoft.com/en-us/graph/auth/
"""
from typing import Any, Dict, List, Optional, Type
from langchain.callbacks.manager import CallbackManagerForToolRun
from langchain.pydantic_v1 import BaseModel, Extra, F... | 0 | 2,611 | [{"tag": "EMAIL", "value": "samanthab@contoso.com", "start": 1359, "end": 1380}, {"tag": "EMAIL", "value": "samanthab@contoso.com", "start": 1386, "end": 1407}] | true | 2 | """Util that Searches email messages in Office 365.
Free, but setup is required. See link below.
https://learn.microsoft.com/en-us/graph/auth/
"""
from typing import Any, Dict, List, Optional, Type
from langchain.callbacks.manager import CallbackManagerForToolRun
from langchain.pydantic_v1 import BaseModel, Extra, F... | true | """Util that Searches email messages in Office 365.
Free, but setup is required. See link below.
https://learn.microsoft.com/en-us/graph/auth/
"""
from typing import Any, Dict, List, Optional, Type
from langchain.callbacks.manager import CallbackManagerForToolRun
from langchain.pydantic_v1 import BaseModel, Extra, F... |
hf_public_repos/eosphoros-ai | hf_public_repos/eosphoros-ai/DB-GPT/setup.py | from typing import List, Tuple
import setuptools
import platform
import subprocess
import os
from enum import Enum
import urllib.request
from urllib.parse import urlparse, quote
import re
import shutil
from setuptools import find_packages
with open("README.md", mode="r", encoding="utf-8") as fh:
long_description ... | 0 | 248 | [{"tag": "EMAIL", "value": "cfqcsunny@gmail.com", "start": 13595, "end": 13614}] | true | 1 | from typing import List, Tuple
import setuptools
import platform
import subprocess
import os
from enum import Enum
import urllib.request
from urllib.parse import urlparse, quote
import re
import shutil
from setuptools import find_packages
with open("README.md", mode="r", encoding="utf-8") as fh:
long_description ... | true | from typing import List, Tuple
import setuptools
import platform
import subprocess
import os
from enum import Enum
import urllib.request
from urllib.parse import urlparse, quote
import re
import shutil
from setuptools import find_packages
with open("README.md", mode="r", encoding="utf-8") as fh:
long_description ... |
hf_public_repos/zilliztech/GPTCache/tests | hf_public_repos/zilliztech/GPTCache/tests/integration_tests/test_redis_onnx.py | import random
from unittest.mock import patch
from gptcache import Cache
from gptcache.adapter import openai
from gptcache.adapter.api import init_similar_cache
from gptcache.embedding import Onnx
from gptcache.manager import manager_factory
from gptcache.processor.pre import last_content
from gptcache.utils.response ... | 0 | 805 | [{"tag": "KEY", "value": "chatcmpl-6ptKyqKOGXZT6iQnqiXAH8adNLUzD", "start": 1737, "end": 1775}] | true | 1 | import random
from unittest.mock import patch
from gptcache import Cache
from gptcache.adapter import openai
from gptcache.adapter.api import init_similar_cache
from gptcache.embedding import Onnx
from gptcache.manager import manager_factory
from gptcache.processor.pre import last_content
from gptcache.utils.response ... | true | import random
from unittest.mock import patch
from gptcache import Cache
from gptcache.adapter import openai
from gptcache.adapter.api import init_similar_cache
from gptcache.embedding import Onnx
from gptcache.manager import manager_factory
from gptcache.processor.pre import last_content
from gptcache.utils.response ... |
hf_public_repos/langchain-ai/langchain/libs/langchain/langchain | hf_public_repos/langchain-ai/langchain/libs/langchain/langchain/utilities/zapier.py | """Util that can interact with Zapier NLA.
Full docs here: https://nla.zapier.com/start/
Note: this wrapper currently only implemented the `api_key` auth method for testing
and server-side production use cases (using the developer's connected accounts on
Zapier.com)
For use-cases where LangChain + Zapier NLA is powe... | 0 | 2,670 | [{"tag": "EMAIL", "value": "nla@zapier.com", "start": 501, "end": 515}] | true | 1 | """Util that can interact with Zapier NLA.
Full docs here: https://nla.zapier.com/start/
Note: this wrapper currently only implemented the `api_key` auth method for testing
and server-side production use cases (using the developer's connected accounts on
Zapier.com)
For use-cases where LangChain + Zapier NLA is powe... | true | """Util that can interact with Zapier NLA.
Full docs here: https://nla.zapier.com/start/
Note: this wrapper currently only implemented the `api_key` auth method for testing
and server-side production use cases (using the developer's connected accounts on
Zapier.com)
For use-cases where LangChain + Zapier NLA is powe... |
hf_public_repos/langchain-ai/langchain/docs/docs/guides/privacy | hf_public_repos/langchain-ai/langchain/docs/docs/guides/privacy/presidio_data_anonymization/reversible.ipynb | # Install necessary packages
# ! pip install langchain langchain-experimental openai presidio-analyzer presidio-anonymizer spacy Faker
# ! python -m spacy download en_core_web_lgfrom langchain_experimental.data_anonymizer import PresidioReversibleAnonymizer
anonymizer = PresidioReversibleAnonymizer(
analyzed_field... | 0 | 4,002 | [{"tag": "EMAIL", "value": "real.slim.shady@gmail.com", "start": 690, "end": 715}, {"tag": "EMAIL", "value": "jamesmichael@example.com", "start": 899, "end": 923}, {"tag": "EMAIL", "value": "real.slim.shady@gmail.com", "start": 2589, "end": 2614}, {"tag": "EMAIL", "value": "wdavis@example.net", "start": 4689, "end": 47... | true | 4 | # Install necessary packages
# ! pip install langchain langchain-experimental openai presidio-analyzer presidio-anonymizer spacy Faker
# ! python -m spacy download en_core_web_lgfrom langchain_experimental.data_anonymizer import PresidioReversibleAnonymizer
anonymizer = PresidioReversibleAnonymizer(
analyzed_field... | true | # Install necessary packages
# ! pip install langchain langchain-experimental openai presidio-analyzer presidio-anonymizer spacy Faker
# ! python -m spacy download en_core_web_lgfrom langchain_experimental.data_anonymizer import PresidioReversibleAnonymizer
anonymizer = PresidioReversibleAnonymizer(
analyzed_field... |
hf_public_repos/zilliztech/GPTCache/tests | hf_public_repos/zilliztech/GPTCache/tests/unit_tests/test_session.py | import unittest
from unittest.mock import patch
from openai.error import AuthenticationError
from gptcache import cache
from gptcache.adapter import openai
from gptcache.manager import manager_factory
from gptcache.session import Session
from gptcache.processor.pre import get_prompt
from gptcache.embedding import Onnx... | 0 | 817 | [{"tag": "KEY", "value": "cmpl-6ptKyqKOGXZT6iQnqiXAH8adNLUzD", "start": 1361, "end": 1395}, {"tag": "KEY", "value": "cmpl-6ptKyqKOGXZT6iQnqiXAH8adNLUzD", "start": 2362, "end": 2396}, {"tag": "KEY", "value": "cmpl-6ptKyqKOGXZT6iQnqiXAH8adNLUzD", "start": 4280, "end": 4314}] | true | 3 | import unittest
from unittest.mock import patch
from openai.error import AuthenticationError
from gptcache import cache
from gptcache.adapter import openai
from gptcache.manager import manager_factory
from gptcache.session import Session
from gptcache.processor.pre import get_prompt
from gptcache.embedding import Onnx... | true | import unittest
from unittest.mock import patch
from openai.error import AuthenticationError
from gptcache import cache
from gptcache.adapter import openai
from gptcache.manager import manager_factory
from gptcache.session import Session
from gptcache.processor.pre import get_prompt
from gptcache.embedding import Onnx... |
hf_public_repos/zilliztech/GPTCache/tests/unit_tests | hf_public_repos/zilliztech/GPTCache/tests/unit_tests/utils/test_response.py | from gptcache.utils.response import (
get_message_from_openai_answer,
get_stream_message_from_openai_answer,
)
def test_get_message_from_openai_answer():
message = get_message_from_openai_answer(
{
"choices": [
{
"finish_reason": "stop",
... | 0 | 862 | [{"tag": "KEY", "value": "chatcmpl-6ptKyqKOGXZT6iQnqiXAH8adNLUzD", "start": 1119, "end": 1157}, {"tag": "KEY", "value": "chatcmpl-6ptKyqKOGXZT6iQnqiXAH8adNLUzD", "start": 1498, "end": 1536}, {"tag": "KEY", "value": "chatcmpl-6ptKqrhgRoVchm58Bby0UvJzq2ZuQ", "start": 501, "end": 539}] | true | 3 | from gptcache.utils.response import (
get_message_from_openai_answer,
get_stream_message_from_openai_answer,
)
def test_get_message_from_openai_answer():
message = get_message_from_openai_answer(
{
"choices": [
{
"finish_reason": "stop",
... | true | from gptcache.utils.response import (
get_message_from_openai_answer,
get_stream_message_from_openai_answer,
)
def test_get_message_from_openai_answer():
message = get_message_from_openai_answer(
{
"choices": [
{
"finish_reason": "stop",
... |
hf_public_repos/langchain-ai/langchain/libs/langchain/tests/integration_tests | hf_public_repos/langchain-ai/langchain/libs/langchain/tests/integration_tests/llms/test_opaqueprompts.py | import langchain.utilities.opaqueprompts as op
from langchain.chains.llm import LLMChain
from langchain.llms import OpenAI
from langchain.llms.opaqueprompts import OpaquePrompts
from langchain.memory import ConversationBufferWindowMemory
from langchain.prompts import PromptTemplate
from langchain.schema.output_parser i... | 0 | 1,503 | [{"tag": "EMAIL", "value": "johndoe@example.com", "start": 1323, "end": 1342}, {"tag": "IP_ADDRESS", "value": "192.168.1.1", "start": 2242, "end": 2253}] | true | 2 | import langchain.utilities.opaqueprompts as op
from langchain.chains.llm import LLMChain
from langchain.llms import OpenAI
from langchain.llms.opaqueprompts import OpaquePrompts
from langchain.memory import ConversationBufferWindowMemory
from langchain.prompts import PromptTemplate
from langchain.schema.output_parser i... | true | import langchain.utilities.opaqueprompts as op
from langchain.chains.llm import LLMChain
from langchain.llms import OpenAI
from langchain.llms.opaqueprompts import OpaquePrompts
from langchain.memory import ConversationBufferWindowMemory
from langchain.prompts import PromptTemplate
from langchain.schema.output_parser i... |
hf_public_repos/zilliztech/GPTCache/tests/unit_tests | hf_public_repos/zilliztech/GPTCache/tests/unit_tests/adapter/test_llama_cpp.py | import os
import sys
import unittest
from unittest.mock import patch, MagicMock
from tempfile import TemporaryDirectory
from gptcache import Cache
from gptcache.processor.pre import get_prompt
from gptcache.manager.factory import manager_factory
from gptcache.embedding import Onnx
question = "test_llama_cpp"
expect_a... | 0 | 853 | [{"tag": "KEY", "value": "chatcmpl-6ptKqrhgRoVchm58Bby0UvJzq2ZuQ", "start": 740, "end": 778}] | true | 1 | import os
import sys
import unittest
from unittest.mock import patch, MagicMock
from tempfile import TemporaryDirectory
from gptcache import Cache
from gptcache.processor.pre import get_prompt
from gptcache.manager.factory import manager_factory
from gptcache.embedding import Onnx
question = "test_llama_cpp"
expect_a... | true | import os
import sys
import unittest
from unittest.mock import patch, MagicMock
from tempfile import TemporaryDirectory
from gptcache import Cache
from gptcache.processor.pre import get_prompt
from gptcache.manager.factory import manager_factory
from gptcache.embedding import Onnx
question = "test_llama_cpp"
expect_a... |
hf_public_repos/melih-unsal/DemoGPT | hf_public_repos/melih-unsal/DemoGPT/demogpt/app.py | import logging
import os
import signal
import sys
import streamlit as st
import streamlit.components.v1 as components
current_file_path = os.path.abspath(__file__)
current_directory = os.path.dirname(current_file_path)
parent_directory = os.path.dirname(current_directory)
grandparent_directory = os.path.dirname(paren... | 0 | 571 | [{"tag": "EMAIL", "value": "example@example.com", "start": 6319, "end": 6338}] | true | 1 | import logging
import os
import signal
import sys
import streamlit as st
import streamlit.components.v1 as components
current_file_path = os.path.abspath(__file__)
current_directory = os.path.dirname(current_file_path)
parent_directory = os.path.dirname(current_directory)
grandparent_directory = os.path.dirname(paren... | true | import logging
import os
import signal
import sys
import streamlit as st
import streamlit.components.v1 as components
current_file_path = os.path.abspath(__file__)
current_directory = os.path.dirname(current_file_path)
parent_directory = os.path.dirname(current_directory)
grandparent_directory = os.path.dirname(paren... |
hf_public_repos/eosphoros-ai/DB-GPT/pilot/base_modules | hf_public_repos/eosphoros-ai/DB-GPT/pilot/base_modules/agent/plugins_util.py | """加载组件"""
import json
import os
import glob
import zipfile
import fnmatch
import requests
import git
import threading
import datetime
import logging
from pathlib import Path
from typing import List
from urllib.parse import urlparse
from zipimport import zipimporter
import requests
from auto_gpt_plugin_template impor... | 0 | 512 | [{"tag": "KEY", "value": "ghp", "start": 2827, "end": 2830}, {"tag": "KEY", "value": "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", "start": 2827, "end": 2867}] | true | 2 | """加载组件"""
import json
import os
import glob
import zipfile
import fnmatch
import requests
import git
import threading
import datetime
import logging
from pathlib import Path
from typing import List
from urllib.parse import urlparse
from zipimport import zipimporter
import requests
from auto_gpt_plugin_template impor... | true | """加载组件"""
import json
import os
import glob
import zipfile
import fnmatch
import requests
import git
import threading
import datetime
import logging
from pathlib import Path
from typing import List
from urllib.parse import urlparse
from zipimport import zipimporter
import requests
from auto_gpt_plugin_template impor... |
hf_public_repos/langchain-ai/langchain/libs/langchain/tests/integration_tests | hf_public_repos/langchain-ai/langchain/libs/langchain/tests/integration_tests/document_loaders/test_email.py | from pathlib import Path
from langchain.document_loaders import OutlookMessageLoader, UnstructuredEmailLoader
def test_outlook_message_loader() -> None:
"""Test OutlookMessageLoader."""
file_path = Path(__file__).parent.parent / "examples/hello.msg"
loader = OutlookMessageLoader(str(file_path))
docs ... | 0 | 1,615 | [{"tag": "EMAIL", "value": "brizhou@gmail.com", "start": 480, "end": 497}] | true | 1 | from pathlib import Path
from langchain.document_loaders import OutlookMessageLoader, UnstructuredEmailLoader
def test_outlook_message_loader() -> None:
"""Test OutlookMessageLoader."""
file_path = Path(__file__).parent.parent / "examples/hello.msg"
loader = OutlookMessageLoader(str(file_path))
docs ... | true | from pathlib import Path
from langchain.document_loaders import OutlookMessageLoader, UnstructuredEmailLoader
def test_outlook_message_loader() -> None:
"""Test OutlookMessageLoader."""
file_path = Path(__file__).parent.parent / "examples/hello.msg"
loader = OutlookMessageLoader(str(file_path))
docs ... |
hf_public_repos/langchain-ai/langchain/docs/docs/integrations | hf_public_repos/langchain-ai/langchain/docs/docs/integrations/llms/opaqueprompts.ipynb | # install the opaqueprompts and langchain packages
! pip install opaqueprompts langchainimport os
# Set API keys
os.environ["OPAQUEPROMPTS_API_KEY"] = "<OPAQUEPROMPTS_API_KEY>"
os.environ["OPENAI_API_KEY"] = "<OPENAI_API_KEY>"from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate
from lang... | 0 | 3,621 | [{"tag": "EMAIL", "value": "johndoe@example.com", "start": 1524, "end": 1543}, {"tag": "IP_ADDRESS", "value": "192.168.1.1", "start": 2443, "end": 2454}] | true | 2 | # install the opaqueprompts and langchain packages
! pip install opaqueprompts langchainimport os
# Set API keys
os.environ["OPAQUEPROMPTS_API_KEY"] = "<OPAQUEPROMPTS_API_KEY>"
os.environ["OPENAI_API_KEY"] = "<OPENAI_API_KEY>"from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate
from lang... | true | # install the opaqueprompts and langchain packages
! pip install opaqueprompts langchainimport os
# Set API keys
os.environ["OPAQUEPROMPTS_API_KEY"] = "<OPAQUEPROMPTS_API_KEY>"
os.environ["OPENAI_API_KEY"] = "<OPENAI_API_KEY>"from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate
from lang... |
hf_public_repos/langchain-ai/langchain/docs/docs/guides/privacy | hf_public_repos/langchain-ai/langchain/docs/docs/guides/privacy/presidio_data_anonymization/index.ipynb | # Install necessary packages
# ! pip install langchain langchain-experimental openai presidio-analyzer presidio-anonymizer spacy Faker
# ! python -m spacy download en_core_web_lgfrom langchain_experimental.data_anonymizer import PresidioAnonymizer
anonymizer = PresidioAnonymizer()
anonymizer.anonymize(
"My name i... | 0 | 4,001 | [{"tag": "EMAIL", "value": "real.slim.shady@gmail.com", "start": 373, "end": 398}, {"tag": "EMAIL", "value": "real.slim.shady@gmail.com", "start": 1292, "end": 1317}, {"tag": "EMAIL", "value": "real.slim.shady@gmail.com", "start": 1485, "end": 1510}, {"tag": "EMAIL", "value": "real.slim.shady@gmail.com", "start": 1636,... | true | 4 | # Install necessary packages
# ! pip install langchain langchain-experimental openai presidio-analyzer presidio-anonymizer spacy Faker
# ! python -m spacy download en_core_web_lgfrom langchain_experimental.data_anonymizer import PresidioAnonymizer
anonymizer = PresidioAnonymizer()
anonymizer.anonymize(
"My name i... | true | # Install necessary packages
# ! pip install langchain langchain-experimental openai presidio-analyzer presidio-anonymizer spacy Faker
# ! python -m spacy download en_core_web_lgfrom langchain_experimental.data_anonymizer import PresidioAnonymizer
anonymizer = PresidioAnonymizer()
anonymizer.anonymize(
"My name i... |
hf_public_repos/langchain-ai/langchain/docs/docs/guides/privacy | hf_public_repos/langchain-ai/langchain/docs/docs/guides/privacy/presidio_data_anonymization/qa_privacy_protection.ipynb | # Install necessary packages
# !pip install langchain langchain-experimental openai presidio-analyzer presidio-anonymizer spacy Faker faiss-cpu tiktoken
# ! python -m spacy download en_core_web_lgdocument_content = """Date: October 19, 2021
Witness: John Doe
Subject: Testimony Regarding the Loss of Wallet
Testimony... | 0 | 4,003 | [{"tag": "EMAIL", "value": "johndoe@example.com", "start": 1169, "end": 1188}, {"tag": "EMAIL", "value": "support@bankname.com", "start": 1436, "end": 1456}] | true | 2 | # Install necessary packages
# !pip install langchain langchain-experimental openai presidio-analyzer presidio-anonymizer spacy Faker faiss-cpu tiktoken
# ! python -m spacy download en_core_web_lgdocument_content = """Date: October 19, 2021
Witness: John Doe
Subject: Testimony Regarding the Loss of Wallet
Testimony... | true | # Install necessary packages
# !pip install langchain langchain-experimental openai presidio-analyzer presidio-anonymizer spacy Faker faiss-cpu tiktoken
# ! python -m spacy download en_core_web_lgdocument_content = """Date: October 19, 2021
Witness: John Doe
Subject: Testimony Regarding the Loss of Wallet
Testimony... |
hf_public_repos/davila7/langchain-101 | hf_public_repos/davila7/langchain-101/functions_callings/talk_send_message_vanilla.py | import streamlit as st
from bokeh.models.widgets import Button
from bokeh.models import CustomJS
from streamlit_bokeh_events import streamlit_bokeh_events
from sendgrid import SendGridAPIClient
from sendgrid.helpers.mail import Mail
import openai
import json
import os
from dotenv import load_dotenv
load_dotenv()
def ... | 0 | 749 | [{"tag": "EMAIL", "value": "daniel@judini.ai", "start": 587, "end": 603}, {"tag": "EMAIL", "value": "dan.avila7@gmail.com", "start": 1330, "end": 1350}] | true | 2 | import streamlit as st
from bokeh.models.widgets import Button
from bokeh.models import CustomJS
from streamlit_bokeh_events import streamlit_bokeh_events
from sendgrid import SendGridAPIClient
from sendgrid.helpers.mail import Mail
import openai
import json
import os
from dotenv import load_dotenv
load_dotenv()
def ... | true | import streamlit as st
from bokeh.models.widgets import Button
from bokeh.models import CustomJS
from streamlit_bokeh_events import streamlit_bokeh_events
from sendgrid import SendGridAPIClient
from sendgrid.helpers.mail import Mail
import openai
import json
import os
from dotenv import load_dotenv
load_dotenv()
def ... |
hf_public_repos/zilliztech/GPTCache/tests/unit_tests | hf_public_repos/zilliztech/GPTCache/tests/unit_tests/adapter/test_openai.py | import asyncio
import base64
import os
import random
from io import BytesIO
from unittest.mock import AsyncMock, patch
from urllib.request import urlopen
import pytest
from gptcache import Cache, cache
from gptcache.adapter import openai
from gptcache.adapter.api import init_similar_cache
from gptcache.config import ... | 0 | 856 | [{"tag": "KEY", "value": "chatcmpl-6ptKyqKOGXZT6iQnqiXAH8adNLUzD", "start": 1643, "end": 1681}, {"tag": "KEY", "value": "chatcmpl-6ptKyqKOGXZT6iQnqiXAH8adNLUzD", "start": 3269, "end": 3307}, {"tag": "KEY", "value": "chatcmpl-6ptKyqKOGXZT6iQnqiXAH8adNLUzD", "start": 4576, "end": 4614}, {"tag": "KEY", "value": "chatcmpl-... | true | 28 | import asyncio
import base64
import os
import random
from io import BytesIO
from unittest.mock import AsyncMock, patch
from urllib.request import urlopen
import pytest
from gptcache import Cache, cache
from gptcache.adapter import openai
from gptcache.adapter.api import init_similar_cache
from gptcache.config import ... | true | import asyncio
import base64
import os
import random
from io import BytesIO
from unittest.mock import AsyncMock, patch
from urllib.request import urlopen
import pytest
from gptcache import Cache, cache
from gptcache.adapter import openai
from gptcache.adapter.api import init_similar_cache
from gptcache.config import ... |
hf_public_repos/zilliztech/GPTCache/tests/unit_tests | hf_public_repos/zilliztech/GPTCache/tests/unit_tests/adapter/test_api.py | # pylint: disable=wrong-import-position
import os
from pathlib import Path
from unittest.mock import patch
from gptcache import cache, Config, Cache
from gptcache.adapter import openai
from gptcache.adapter.api import put, get, init_similar_cache, init_similar_cache_from_config
from gptcache.embedding import Onnx as E... | 0 | 860 | [{"tag": "KEY", "value": "chatcmpl-6ptKyqKOGXZT6iQnqiXAH8adNLUzD", "start": 4642, "end": 4680}] | true | 1 | # pylint: disable=wrong-import-position
import os
from pathlib import Path
from unittest.mock import patch
from gptcache import cache, Config, Cache
from gptcache.adapter import openai
from gptcache.adapter.api import put, get, init_similar_cache, init_similar_cache_from_config
from gptcache.embedding import Onnx as E... | true | # pylint: disable=wrong-import-position
import os
from pathlib import Path
from unittest.mock import patch
from gptcache import cache, Config, Cache
from gptcache.adapter import openai
from gptcache.adapter.api import put, get, init_similar_cache, init_similar_cache_from_config
from gptcache.embedding import Onnx as E... |
hf_public_repos/langchain-ai/langchain/docs/docs/integrations | hf_public_repos/langchain-ai/langchain/docs/docs/integrations/tools/awslambda.ipynb | from langchain.llms import OpenAI
from langchain.agents import load_tools, initialize_agent, AgentType
llm = OpenAI(temperature=0)
tools = load_tools(
["awslambda"],
awslambda_tool_name="email-sender",
awslambda_tool_description="sends an email with the specified content to test@testing123.com",
funct... | 0 | 3,721 | [{"tag": "EMAIL", "value": "test@testing123.com", "start": 289, "end": 308}, {"tag": "EMAIL", "value": "test@testing123.com", "start": 480, "end": 499}] | true | 2 | from langchain.llms import OpenAI
from langchain.agents import load_tools, initialize_agent, AgentType
llm = OpenAI(temperature=0)
tools = load_tools(
["awslambda"],
awslambda_tool_name="email-sender",
awslambda_tool_description="sends an email with the specified content to lyhxr@example.com",
functio... | true | from langchain.llms import OpenAI
from langchain.agents import load_tools, initialize_agent, AgentType
llm = OpenAI(temperature=0)
tools = load_tools(
["awslambda"],
awslambda_tool_name="email-sender",
awslambda_tool_description="sends an email with the specified content to PI:EMAIL:lyhxr@example.comEND_P... |
hf_public_repos/langchain-ai/langchain/libs/langchain/tests/unit_tests | hf_public_repos/langchain-ai/langchain/libs/langchain/tests/unit_tests/document_loaders/test_trello.py | import unittest
from collections import namedtuple
from typing import Any, Optional
from unittest.mock import patch
import pytest
from langchain.document_loaders.trello import TrelloLoader
def list_to_objects(dict_list: list) -> list:
"""Helper to convert dict objects."""
return [
namedtuple("Object... | 0 | 1,924 | [{"tag": "KEY", "value": "5555059b74c03b3a9e362cd0", "start": 1373, "end": 1397}, {"tag": "KEY", "value": "55559f6002dd973ad8cdbfb7", "start": 5305, "end": 5329}, {"tag": "KEY", "value": "5555cacbc4daa90564b34cf2", "start": 1273, "end": 1297}, {"tag": "KEY", "value": "555505a3427fd688c1ca5ebd", "start": 1455, "end": 14... | true | 7 | import unittest
from collections import namedtuple
from typing import Any, Optional
from unittest.mock import patch
import pytest
from langchain.document_loaders.trello import TrelloLoader
def list_to_objects(dict_list: list) -> list:
"""Helper to convert dict objects."""
return [
namedtuple("Object... | true | import unittest
from collections import namedtuple
from typing import Any, Optional
from unittest.mock import patch
import pytest
from langchain.document_loaders.trello import TrelloLoader
def list_to_objects(dict_list: list) -> list:
"""Helper to convert dict objects."""
return [
namedtuple("Object... |
hf_public_repos/radi-cho | hf_public_repos/radi-cho/datasetGPT/setup.py | from distutils.core import setup
from setuptools import find_packages
with open("README.md", "r", encoding = "utf-8") as readme:
long_description = readme.read()
setup(
name="datasetGPT",
version="0.0.4",
description="Generate textual and conversational datasets with LLMs.",
long_description = lon... | 0 | 90 | [{"tag": "EMAIL", "value": "radicho123@gmail.com", "start": 438, "end": 458}] | true | 1 | from distutils.core import setup
from setuptools import find_packages
with open("README.md", "r", encoding = "utf-8") as readme:
long_description = readme.read()
setup(
name="datasetGPT",
version="0.0.4",
description="Generate textual and conversational datasets with LLMs.",
long_description = lon... | true | from distutils.core import setup
from setuptools import find_packages
with open("README.md", "r", encoding = "utf-8") as readme:
long_description = readme.read()
setup(
name="datasetGPT",
version="0.0.4",
description="Generate textual and conversational datasets with LLMs.",
long_description = lon... |
hf_public_repos/langchain-ai/langchain/docs/docs/integrations | hf_public_repos/langchain-ai/langchain/docs/docs/integrations/chat_loaders/gmail.ipynb | import os.path
import base64
import json
import re
import time
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
import logging
import requests
SCOPES = ["https://www.go... | 0 | 3,673 | [{"tag": "EMAIL", "value": "hchase@langchain.com", "start": 1536, "end": 1556}, {"tag": "EMAIL", "value": "hchase@langchain.com", "start": 1723, "end": 1743}] | true | 2 | import os.path
import base64
import json
import re
import time
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
import logging
import requests
SCOPES = ["https://www.go... | true | import os.path
import base64
import json
import re
import time
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
import logging
import requests
SCOPES = ["https://www.go... |
hf_public_repos/langchain-ai/langchain/libs/langchain/langchain/chains | hf_public_repos/langchain-ai/langchain/libs/langchain/langchain/chains/graph_qa/prompts.py | # flake8: noqa
from langchain.prompts.prompt import PromptTemplate
_DEFAULT_ENTITY_EXTRACTION_TEMPLATE = """Extract all entities from the following text. As a guideline, a proper noun is generally capitalized. You should definitely extract all names and places.
Return the output as a single comma-separated list, or N... | 0 | 2,326 | [{"tag": "EMAIL", "value": "jane.doe@foo.bar", "start": 6550, "end": 6566}, {"tag": "EMAIL", "value": "jane.doe@foo.bar", "start": 6743, "end": 6759}] | true | 2 | # flake8: noqa
from langchain.prompts.prompt import PromptTemplate
_DEFAULT_ENTITY_EXTRACTION_TEMPLATE = """Extract all entities from the following text. As a guideline, a proper noun is generally capitalized. You should definitely extract all names and places.
Return the output as a single comma-separated list, or N... | true | # flake8: noqa
from langchain.prompts.prompt import PromptTemplate
_DEFAULT_ENTITY_EXTRACTION_TEMPLATE = """Extract all entities from the following text. As a guideline, a proper noun is generally capitalized. You should definitely extract all names and places.
Return the output as a single comma-separated list, or N... |
hf_public_repos/JorisdeJong123/7-Days-of-LangChain | hf_public_repos/JorisdeJong123/7-Days-of-LangChain/day_4/scientific_newsletter.py | """
This script shows how to create a newsletter based on the latest Arxiv articles.
We're using an easy LangChain implementation to show how to use the different components of LangChain.
This is part of my '7 Days of LangChain' series.
Check out the explanation about the code on my Twitter (@JorisTechTalk)
"""
fro... | 0 | 102 | [{"tag": "EMAIL", "value": "jorisdejong456@gmail.com", "start": 2878, "end": 2902}] | true | 1 | """
This script shows how to create a newsletter based on the latest Arxiv articles.
We're using an easy LangChain implementation to show how to use the different components of LangChain.
This is part of my '7 Days of LangChain' series.
Check out the explanation about the code on my Twitter (@JorisTechTalk)
"""
fro... | true | """
This script shows how to create a newsletter based on the latest Arxiv articles.
We're using an easy LangChain implementation to show how to use the different components of LangChain.
This is part of my '7 Days of LangChain' series.
Check out the explanation about the code on my Twitter (@JorisTechTalk)
"""
fro... |
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