id int64 0 190k | prompt stringlengths 21 13.4M | docstring stringlengths 1 12k ⌀ |
|---|---|---|
35,902 | import argparse
import sys
import traceback
import warnings
import os
import platform
import runpy
import time
import requests
import json
import zipfile
import tempfile
import webbrowser
from blankly.deployment.api import API
from blankly.utils.utils import load_json_file, info_print, load_deployment_settings
temporar... | null |
35,903 | import argparse
import sys
import traceback
import warnings
import os
import platform
import runpy
import time
import requests
import json
import zipfile
import tempfile
import webbrowser
from blankly.deployment.api import API
from blankly.utils.utils import load_json_file, info_print, load_deployment_settings
class Te... | null |
35,904 | import argparse
import sys
import traceback
import warnings
import os
import platform
import runpy
import time
import requests
import json
import zipfile
import tempfile
import webbrowser
from blankly.deployment.api import API
from blankly.utils.utils import load_json_file, info_print, load_deployment_settings
def add... | null |
35,905 | import argparse
import sys
import traceback
import warnings
import os
import platform
import runpy
import time
import requests
import json
import zipfile
import tempfile
import webbrowser
from blankly.deployment.api import API
from blankly.utils.utils import load_json_file, info_print, load_deployment_settings
class Te... | null |
35,906 | import argparse
import sys
import traceback
import warnings
import os
import platform
import runpy
import time
import requests
import json
import zipfile
import tempfile
import webbrowser
from blankly.deployment.api import API
from blankly.utils.utils import load_json_file, info_print, load_deployment_settings
tokenfil... | This function will log out if not logged in |
35,907 | import argparse
import sys
import traceback
import warnings
import os
import platform
import runpy
import time
import requests
import json
import zipfile
import tempfile
import webbrowser
from blankly.deployment.api import API
from blankly.utils.utils import load_json_file, info_print, load_deployment_settings
tokenfil... | This function will return if the user is logged in logged_in = __is_logged_in(temp_folder) is not None |
35,908 | import argparse
import sys
import traceback
import warnings
import os
import platform
import runpy
import time
import requests
import json
import zipfile
import tempfile
import webbrowser
from blankly.deployment.api import API
from blankly.utils.utils import load_json_file, info_print, load_deployment_settings
token = ... | null |
35,909 | import argparse
import json
import os.path
import shutil
import subprocess
import sys
import tempfile
import traceback
import webbrowser
from pathlib import Path
from typing import Optional
import pkgutil
from questionary import Choice
from blankly.deployment.api import API
from blankly.deployment.deploy import zip_dir... | null |
35,910 | import argparse
import json
import os.path
import shutil
import subprocess
import sys
import tempfile
import traceback
import webbrowser
from pathlib import Path
from typing import Optional
import pkgutil
from questionary import Choice
from blankly.deployment.api import API
from blankly.deployment.deploy import zip_dir... | null |
35,911 | import argparse
import json
import os.path
import shutil
import subprocess
import sys
import tempfile
import traceback
import webbrowser
from pathlib import Path
from typing import Optional
import pkgutil
from questionary import Choice
from blankly.deployment.api import API
from blankly.deployment.deploy import zip_dir... | null |
35,912 | import argparse
import json
import os.path
import shutil
import subprocess
import sys
import tempfile
import traceback
import webbrowser
from pathlib import Path
from typing import Optional
import pkgutil
from questionary import Choice
from blankly.deployment.api import API
from blankly.deployment.deploy import zip_dir... | null |
35,913 | import argparse
import json
import os.path
import shutil
import subprocess
import sys
import tempfile
import traceback
import webbrowser
from pathlib import Path
from typing import Optional
import pkgutil
from questionary import Choice
from blankly.deployment.api import API
from blankly.deployment.deploy import zip_dir... | null |
35,914 | import argparse
import json
import os.path
import shutil
import subprocess
import sys
import tempfile
import traceback
import webbrowser
from pathlib import Path
from typing import Optional
import pkgutil
from questionary import Choice
from blankly.deployment.api import API
from blankly.deployment.deploy import zip_dir... | null |
35,915 | import os
import tempfile
import sys
import zipfile
from typing import List
def zipdir(path, ziph, ignore_files: list):
# From https://stackoverflow.com/a/1855118/8087739
# Notice we're using this instead of shutil because it allows customization such as passwords and skipping
# directories
# ziph is zi... | null |
35,916 | import json
import pathlib
import sys
import urllib.parse
from http.server import BaseHTTPRequestHandler, HTTPServer
from typing import Optional
from blankly.deployment.api import API
from blankly.deployment.ui import print_work, print_failure, print_success, show_spinner
SUCCESS_URL = 'https://firebasestorage.googleap... | null |
35,917 | import json
import pathlib
import sys
import urllib.parse
from http.server import BaseHTTPRequestHandler, HTTPServer
from typing import Optional
from blankly.deployment.api import API
from blankly.deployment.ui import print_work, print_failure, print_success, show_spinner
def get_token_file() -> pathlib.Path:
retur... | null |
35,918 | from typing import Dict, List
import alpaca_trade_api
from binance.client import Client as BinanceClient
from questionary import Choice
from blankly.deployment.ui import print_failure
from blankly.exchanges.interfaces.alpaca import alpaca_api
from blankly.exchanges.interfaces.coinbase_pro.coinbase_pro_api import API as... | null |
35,919 | from datetime import datetime as dt
def is_datetime_naive(datetime_obj: dt):
if datetime_obj.tzinfo is None or datetime_obj.tzinfo.utcoffset(datetime_obj) is None:
return True
return False | null |
35,920 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
def load_json_file(override_path=None):
f = open(override_path, )
json_file = json.... | null |
35,921 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
backtest_settings = __BlanklySettings('./backtest.json', default_backtest_settings,
... | null |
35,922 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
notify_settings = __BlanklySettings('./notify.json', default_notify_settings,
... | null |
35,923 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
The provided code snippet includes necessary dependencies for implementing the `pretty_prin... | Json pretty printer for general string usage |
35,924 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
def epoch_from_iso8601(iso8601: str) -> float:
import dateutil.parser as dp
return d... | null |
35,925 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
def iso8601_from_epoch(epoch) -> str:
return dt.utcfromtimestamp(epoch).isoformat() + '... | null |
35,926 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
def get_base_asset(symbol):
# Gets the BTC of the BTC-USD
return symbol.split('-')[0... | null |
35,927 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
The provided code snippet includes necessary dependencies for implementing the `convert_epo... | If an epoch time is very long it means that it includes decimals - generally milliseconds. We like the decimal format because its unambiguous |
35,928 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
The provided code snippet includes necessary dependencies for implementing the `compare_dic... | Compare two output dictionaries to check if they have the same keys (excluding "exchange_specific") Args: dict1 (dict): First dictionary to compare dict2 (dict): Second dictionary to compare force_exchange_specific (bool): Check if the the exchange_specific tag is in the dictionary Returns: bool: Are the non specific t... |
35,929 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
def update_progress(progress):
# From this great post: https://stackoverflow.com/a/1586... | null |
35,930 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
def split_df(df, n):
return df.groupby(np.arange(len(df)) // n)
def get_ohlcv(candles, ... | null |
35,931 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
def split_df(df, n):
return df.groupby(np.arange(len(df)) // n)
The provided code snipp... | Aggregate history data (such as turn 1m data into 15m data) Args: history: A blankly generated dataframe aggregation_size: How many rows of history to aggregate - ex: aggregation_size=15 on 1m data produces 15m intervals |
35,932 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
The provided code snippet includes necessary dependencies for implementing the `get_ohlcv_f... | Created with the purpose of parsing ticker data into a viable OHLCV pattern. The Args: tick_list (list): List of data containing price ticks. Needs to be at least: [{'price': 343, 'size': 3.4}, ...] The data must also be ordered oldest to most recent at the end last_price (float): The last price in case there isn't any... |
35,933 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
def ceil_date(date, **kwargs):
secs = datetime.timedelta(**kwargs).total_seconds()
... | null |
35,934 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
def format_with_new_line(original_string, *components):
for i in components:
or... | null |
35,935 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
The provided code snippet includes necessary dependencies for implementing the `trunc` func... | Truncate a number instead of rounding (ex: trunc(9.9999999, 2) == 9.99 instead of round(9.9999999, 2) == 10.0) Args: number (float): Number to truncate decimals (int): Number of decimals to keep: trunc(9.9999999, 2) == 9.99 |
35,936 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
The provided code snippet includes necessary dependencies for implementing the `count_decim... | Count the number of decimals in a given float: 1.4335 -> 4 or 3 -> 0 |
35,937 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
The provided code snippet includes necessary dependencies for implementing the `check_backt... | Tests if the environment is configured for backtesting. Primarily used for platform deployments but is applicable elsewhere |
35,938 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
def get_base_asset(symbol):
# Gets the BTC of the BTC-USD
return symbol.split('-')[0... | Used for get_account functions, this enforces that the user is always getting the base asset which is probably what the user meant |
35,939 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
The provided code snippet includes necessary dependencies for implementing the `order_prote... | Decorator to provide protection against live orders inside backtest environment |
35,940 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
def get_base_asset(symbol):
def get_quote_asset(symbol):
def add_all_products(nonzero_produ... | null |
35,941 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
def increment_to_precision(increment: float) -> int:
# quick maths
# 0.0001 -> 4
... | null |
35,942 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
def precision_to_increment(precision: int) -> float:
return 10 ** (-precision) | null |
35,943 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
def aggregate_prices_by_resolution(price_dict, symbol_, resolution_, data_) -> dict:
if... | null |
35,944 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
def trim_df_time_column(df, epoch_start: [int, float], epoch_stop: [int, float]):
df = d... | null |
35,945 | import math
import blankly
import datetime
import json
import sys
import decimal
import os
from datetime import datetime as dt
from math import trunc as math_trunc
from typing import Union
import numpy as np
import pandas as pd
def build_order_info(price, side, size, symbol, type_) -> dict:
order = {
'size... | null |
35,946 | from typing import Union
from numpy import int64, int32
def build_second() -> int:
return 1
def build_minute() -> int:
return build_second() * 60
def build_hour() -> int:
return build_minute() * 60
def build_day() -> int:
return build_hour() * 24
def build_week() -> int:
return build_day() * 7
def b... | Extract the number of seconds in an interval string |
35,947 | from typing import Union
from numpy import int64, int32
def build_second() -> int:
return 1
def build_minute() -> int:
return build_second() * 60
def build_hour() -> int:
return build_minute() * 60
def build_day() -> int:
return build_hour() * 24
def build_week() -> int:
return build_day() * 7
def b... | This function converts integer intervals into string intervals Example: 3600 -> 1h Args: interval: An integer representing the conversion time |
35,948 | from typing import Any, Dict, Optional, Sequence
from llama_index.core.objects.base_node_mapping import (
DEFAULT_PERSIST_DIR,
DEFAULT_PERSIST_FNAME,
BaseObjectNodeMapping,
)
from llama_index.core.schema import BaseNode, TextNode
from llama_index.core.tools.query_engine import QueryEngineTool
from llama_ind... | Function convert Tool to node. |
35,949 | import json
from dataclasses import dataclass
from typing import Any, List
from dataclasses_json import DataClassJsonMixin
from llama_index.core.output_parsers.base import (
OutputParserException,
StructuredOutput,
)
from llama_index.core.output_parsers.utils import _marshal_llm_to_json
from llama_index.core.ty... | null |
35,950 | from typing import TYPE_CHECKING, Optional, Union
import os
from llama_index.core.llms.callbacks import CallbackManager
from llama_index.core.llms.llm import LLM
from llama_index.core.llms.mock import MockLLM
LLMType = Union[str, LLM, "BaseLanguageModel"]
class LLM(BaseLLM):
system_prompt: Optional[str] = Field(
... | Resolve LLM from string or LLM instance. |
35,951 | from collections import ChainMap
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Protocol,
Sequence,
get_args,
runtime_checkable,
)
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponseAsyncGen,... | Convert a stream completion response to a stream of tokens. |
35,952 | from collections import ChainMap
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Protocol,
Sequence,
get_args,
runtime_checkable,
)
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponseAsyncGen,... | Convert a stream completion response to a stream of tokens. |
35,953 | from collections import ChainMap
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Protocol,
Sequence,
get_args,
runtime_checkable,
)
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponseAsyncGen,... | Convert a stream completion response to a stream of tokens. |
35,954 | from collections import ChainMap
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Protocol,
Sequence,
get_args,
runtime_checkable,
)
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponseAsyncGen,... | Convert a stream completion response to a stream of tokens. |
35,955 | from collections import ChainMap
from typing import (
Any,
Callable,
Dict,
List,
Optional,
Protocol,
Sequence,
get_args,
runtime_checkable,
)
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponseAsyncGen,... | null |
35,956 | from typing import Dict, Type
from llama_index.core.llms.custom import CustomLLM
from llama_index.core.llms.llm import LLM
from llama_index.core.llms.mock import MockLLM
RECOGNIZED_LLMS: Dict[str, Type[LLM]] = {
MockLLM.class_name(): MockLLM,
CustomLLM.class_name(): CustomLLM,
}
class LLM(BaseLLM):
system_... | Load LLM by name. |
35,957 | import asyncio
from contextlib import contextmanager
from typing import (
Any,
AsyncGenerator,
Callable,
Generator,
Sequence,
cast,
)
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
Compl... | null |
35,958 | import asyncio
from contextlib import contextmanager
from typing import (
Any,
AsyncGenerator,
Callable,
Generator,
Sequence,
cast,
)
from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseAsyncGen,
ChatResponseGen,
CompletionResponse,
Compl... | null |
35,959 | from typing import List, Optional, Sequence
from llama_index.core.base.llms.types import ChatMessage, MessageRole
B_SYS = "<|im_start|>system\n"
B_USER = "<|im_start|>user\n"
B_ASSISTANT = "<|im_start|>assistant\n"
END = "<|im_end|>\n"
DEFAULT_SYSTEM_PROMPT = """\
You are a helpful, respectful and honest assistant. \
A... | null |
35,960 | from typing import List, Optional, Sequence
from llama_index.core.base.llms.types import ChatMessage, MessageRole
B_SYS = "<|im_start|>system\n"
B_USER = "<|im_start|>user\n"
B_ASSISTANT = "<|im_start|>assistant\n"
END = "<|im_end|>\n"
DEFAULT_SYSTEM_PROMPT = """\
You are a helpful, respectful and honest assistant. \
A... | null |
35,961 | import json
from typing import Sequence
from llama_index.core.prompts.base import PromptTemplate
from llama_index.core.question_gen.types import SubQuestion
from llama_index.core.tools.types import ToolMetadata
class ToolMetadata:
description: str
name: Optional[str] = None
fn_schema: Optional[Type[BaseMod... | null |
35,962 | import base64
from io import BytesIO
from typing import cast
from PIL import Image
The provided code snippet includes necessary dependencies for implementing the `img_2_b64` function. Write a Python function `def img_2_b64(image: Image, format: str = "JPEG") -> str` to solve the following problem:
Convert a PIL.Image ... | Convert a PIL.Image to a base64 encoded image str. |
35,963 | import asyncio
import os
import random
import sys
import time
import traceback
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial, wraps
from itertools import islice
from pathlib import Path
from typing import (
Any,
AsyncGenerator,
Callable,
... | Get a new ID. |
35,964 | import asyncio
import os
import random
import sys
import time
import traceback
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial, wraps
from itertools import islice
from pathlib import Path
from typing import (
Any,
AsyncGenerator,
Callable,
... | Get a new integer ID. |
35,965 | import asyncio
import os
import random
import sys
import time
import traceback
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial, wraps
from itertools import islice
from pathlib import Path
from typing import (
Any,
AsyncGenerator,
Callable,
... | Temporary setter. Utility class for setting a temporary value for an attribute on a class. Taken from: https://tinyurl.com/2p89xymh |
35,966 | import asyncio
import os
import random
import sys
import time
import traceback
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial, wraps
from itertools import islice
from pathlib import Path
from typing import (
Any,
AsyncGenerator,
Callable,
... | Execute lambda function with retries and exponential backoff. Args: lambda_fn (Callable): Function to be called and output we want. errors_to_retry (List[ErrorToRetry]): List of errors to retry. At least one needs to be provided. max_tries (int): Maximum number of tries, including the first. Defaults to 10. min_backoff... |
35,967 | import asyncio
import os
import random
import sys
import time
import traceback
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial, wraps
from itertools import islice
from pathlib import Path
from typing import (
Any,
AsyncGenerator,
Callable,
... | Iterate over an iterable in batches. >>> list(iter_batch([1,2,3,4,5], 3)) [[1, 2, 3], [4, 5]] |
35,968 | import asyncio
import os
import random
import sys
import time
import traceback
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial, wraps
from itertools import islice
from pathlib import Path
from typing import (
Any,
AsyncGenerator,
Callable,
... | Append basename to dirname, avoiding backslashes when running on windows. os.path.join(dirname, basename) will add a backslash before dirname if basename does not end with a slash, so we make sure it does. |
35,969 | import asyncio
import os
import random
import sys
import time
import traceback
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial, wraps
from itertools import islice
from pathlib import Path
from typing import (
Any,
AsyncGenerator,
Callable,
... | Optionally get a tqdm iterable. Ensures tqdm.auto is used. |
35,970 | import asyncio
import os
import random
import sys
import time
import traceback
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial, wraps
from itertools import islice
from pathlib import Path
from typing import (
Any,
AsyncGenerator,
Callable,
... | null |
35,971 | import asyncio
import os
import random
import sys
import time
import traceback
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial, wraps
from itertools import islice
from pathlib import Path
from typing import (
Any,
AsyncGenerator,
Callable,
... | Args: model_name(str): the model name of the tokenizer. For instance, fxmarty/tiny-llama-fast-tokenizer. |
35,972 | import asyncio
import os
import random
import sys
import time
import traceback
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial, wraps
from itertools import islice
from pathlib import Path
from typing import (
Any,
AsyncGenerator,
Callable,
... | Decorator for adding sync version of an async function. The sync version is added as a function attribute to the original function, func. Args: func(Any): the async function for which a sync variant will be built. |
35,973 | import asyncio
import os
import random
import sys
import time
import traceback
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial, wraps
from itertools import islice
from pathlib import Path
from typing import (
Any,
AsyncGenerator,
Callable,
... | Get a mapping of items to colors. Args: items (List[str]): List of items to be mapped to colors. use_llama_index_colors (bool, optional): Flag to indicate whether to use LlamaIndex colors or ANSI colors. Defaults to True. Returns: Dict[str, str]: Mapping of items to colors. |
35,974 | import asyncio
import os
import random
import sys
import time
import traceback
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial, wraps
from itertools import islice
from pathlib import Path
from typing import (
Any,
AsyncGenerator,
Callable,
... | Infer the input to torch.device. |
35,975 | import asyncio
import os
import random
import sys
import time
import traceback
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial, wraps
from itertools import islice
from pathlib import Path
from typing import (
Any,
AsyncGenerator,
Callable,
... | A function that returns a generator of a single element. Args: x (Any): the element to build yield Yields: Any: the single element |
35,976 | import asyncio
import os
import random
import sys
import time
import traceback
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from functools import partial, wraps
from itertools import islice
from pathlib import Path
from typing import (
Any,
AsyncGenerator,
Callable,
... | A function that returns a generator of a single element. Args: x (Any): the element to build yield Yields: Any: the single element |
35,977 | import json
import os
import re
from pathlib import Path
from typing import Dict, List, Tuple
def upgrade_file(file_path: str) -> None:
def _is_hidden(path: Path) -> bool:
def upgrade_dir(input_dir: str) -> None:
file_refs = list(Path(input_dir).rglob("*.py"))
file_refs += list(Path(input_dir).rglob("*.ipynb")... | null |
35,978 | import logging
from dataclasses import dataclass
from typing import Any, List, Optional, cast
from deprecated import deprecated
import llama_index.core
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.base.embeddings.base import Bas... | Get default node parser. |
35,979 | import logging
from dataclasses import dataclass
from typing import Any, List, Optional, cast
from deprecated import deprecated
import llama_index.core
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.base.embeddings.base import Bas... | Get default prompt helper. |
35,980 | import logging
from dataclasses import dataclass
from typing import Any, List, Optional, cast
from deprecated import deprecated
import llama_index.core
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.callbacks.base import CallbackManager
from llama_index.core.base.embeddings.base import Bas... | Helper function to set the global service context. |
35,981 | from dataclasses import dataclass
from typing import Any, Callable, Dict, List, Optional, cast
from llama_index.core.callbacks.base_handler import BaseCallbackHandler
from llama_index.core.callbacks.schema import CBEventType, EventPayload
from llama_index.core.utilities.token_counting import TokenCounter
from llama_ind... | null |
35,982 | import asyncio
import functools
import logging
from typing import Any, Callable, cast
from llama_index.core.callbacks.base import CallbackManager
logger = logging.getLogger(__name__)
class CallbackManager(BaseCallbackHandler, ABC):
"""
Callback manager that handles callbacks for events within LlamaIndex.
... | Decorator to trace a method. Example: @trace_method("my_trace_id") def my_method(self): pass Assumes that the self instance has a CallbackManager instance in an attribute named `callback_manager`. This can be overridden by passing in a `callback_manager_attr` keyword argument. |
35,983 | from typing import Any
from llama_index.core.callbacks.base_handler import BaseCallbackHandler
from llama_index.core.callbacks.simple_llm_handler import SimpleLLMHandler
def create_global_handler(eval_mode: str, **eval_params: Any) -> BaseCallbackHandler:
"""Get global eval handler."""
if eval_mode == "wandb":
... | Set global eval handlers. |
35,984 | import json
import re
import uuid
from typing import Dict, List, Tuple
from llama_index.core.bridge.pydantic import BaseModel
from llama_index.core.llms.utils import LLM
from llama_index.core.schema import MetadataMode, TextNode
from tqdm import tqdm
class EmbeddingQAFinetuneDataset(BaseModel):
"""Embedding QA Fine... | Generate examples given a set of nodes. |
35,985 | import ast
import copy
from types import CodeType, ModuleType
from typing import Any, Dict, Mapping, Sequence, Union
ALLOWED_IMPORTS = {
"math",
"time",
"datetime",
"pandas",
"scipy",
"numpy",
"matplotlib",
"plotly",
"seaborn",
}
def _restricted_import(
name: str,
globals: U... | null |
35,986 | import warnings
from typing import Any, List, Type
from llama_index.core.bridge.pydantic import BaseModel, Field, create_model
from llama_index.core.llms.llm import LLM
from llama_index.core.output_parsers.pydantic import PydanticOutputParser
from llama_index.core.prompts.base import PromptTemplate
from llama_index.cor... | Create a list version of an existing Pydantic object. |
35,987 | import warnings
from typing import Any, List, Type
from llama_index.core.bridge.pydantic import BaseModel, Field, create_model
from llama_index.core.llms.llm import LLM
from llama_index.core.output_parsers.pydantic import PydanticOutputParser
from llama_index.core.prompts.base import PromptTemplate
from llama_index.cor... | Get a program based on the compatible LLM. |
35,988 | from llama_index.core.extractors.metadata_extractors import (
BaseExtractor,
KeywordExtractor,
QuestionsAnsweredExtractor,
SummaryExtractor,
TitleExtractor,
)
class TitleExtractor(BaseExtractor):
"""Title extractor. Useful for long documents. Extracts `document_title`
metadata field.
A... | null |
35,989 | import os
from typing import TYPE_CHECKING, List, Optional, Union
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.callbacks import CallbackManager
from llama_index.core.embeddings.mock_embed_model import MockEmbedding
from llama_index.core.utils import get_cache_dir
The provided c... | Save embedding to file. |
35,990 | import os
from typing import TYPE_CHECKING, List, Optional, Union
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.callbacks import CallbackManager
from llama_index.core.embeddings.mock_embed_model import MockEmbedding
from llama_index.core.utils import get_cache_dir
The provided c... | Load embedding from file. Will only return first embedding in file. |
35,991 | import os
from typing import TYPE_CHECKING, List, Optional, Union
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.callbacks import CallbackManager
from llama_index.core.embeddings.mock_embed_model import MockEmbedding
from llama_index.core.utils import get_cache_dir
EmbedType = Uni... | Resolve embed model. |
35,992 | from typing import Dict, Type
from llama_index.core.base.embeddings.base import BaseEmbedding
from llama_index.core.embeddings.mock_embed_model import MockEmbedding
RECOGNIZED_EMBEDDINGS: Dict[str, Type[BaseEmbedding]] = {
MockEmbedding.class_name(): MockEmbedding,
}
class BaseEmbedding(TransformComponent):
""... | Load Embedding by name. |
35,993 | from llama_index.core.base.llms.types import (
ChatMessage,
ChatResponse,
ChatResponseGen,
MessageRole,
)
from llama_index.core.types import TokenGen
class MessageRole(str, Enum):
"""Message role."""
SYSTEM = "system"
USER = "user"
ASSISTANT = "assistant"
FUNCTION = "function"
... | null |
35,994 | import asyncio
import logging
import queue
import time
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from enum import Enum
from threading import Event
from typing import AsyncGenerator, Generator, List, Optional, Union
from llama_index.core.base.llms.types import (
ChatMessage,
Ch... | Utility for ChatMessage responses from OpenAI models. |
35,995 | import asyncio
from itertools import zip_longest
from typing import Any, Coroutine, Iterable, List
The provided code snippet includes necessary dependencies for implementing the `run_async_tasks` function. Write a Python function `def run_async_tasks( tasks: List[Coroutine], show_progress: bool = False, pr... | Run a list of async tasks. |
35,996 | import asyncio
from itertools import zip_longest
from typing import Any, Coroutine, Iterable, List
def chunks(iterable: Iterable, size: int) -> Iterable:
args = [iter(iterable)] * size
return zip_longest(*args, fillvalue=None)
async def batch_gather(
tasks: List[Coroutine], batch_size: int = 10, verbose: b... | null |
35,997 | import asyncio
from itertools import zip_longest
from typing import Any, Coroutine, Iterable, List
def get_asyncio_module(show_progress: bool = False) -> Any:
if show_progress:
from tqdm.asyncio import tqdm_asyncio
module = tqdm_asyncio
else:
module = asyncio
return module
DEFAULT_NU... | Run jobs. Args: jobs (List[Coroutine]): List of jobs to run. show_progress (bool): Whether to show progress bar. Returns: List[Any]: List of results. |
35,998 | from typing import TYPE_CHECKING, Optional
def get_aws_service_client(
service_name: Optional[str] = None,
region_name: Optional[str] = None,
aws_access_key_id: Optional[str] = None,
aws_secret_access_key: Optional[str] = None,
aws_session_token: Optional[str] = None,
profile_name: Optional[str... | null |
35,999 | from collections.abc import Sequence
from typing import Dict
from llama_index.core.base.llms.types import ChatMessage, MessageRole
ROLES_TO_GEMINI: Dict[MessageRole, MessageRole] = {
MessageRole.USER: MessageRole.USER,
MessageRole.ASSISTANT: MessageRole.MODEL,
## Gemini only has user and model roles. Put th... | null |
36,000 | import logging
from typing import Any, Dict, List, Optional, Sequence
from llama_index.core.bridge.pydantic import Field
from llama_index.core.llms import LLM, ChatMessage, ChatResponse
from llama_index.core.postprocessor.types import BaseNodePostprocessor
from llama_index.core.prompts import BasePromptTemplate
from ll... | null |
36,001 | import logging
from typing import Dict, List, Optional, cast
from llama_index.core.bridge.pydantic import Field, validator
from llama_index.core.postprocessor.types import BaseNodePostprocessor
from llama_index.core.prompts.base import PromptTemplate
from llama_index.core.response_synthesizers import (
ResponseMode... | Get forward nodes. |
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