Functions — github.com/AdamSobieszek/langtorch

hub / github.com/AdamSobieszek/langtorch / functions

Functions413 in github.com/AdamSobieszek/langtorch

Retrieves key-value pairs from the Text object, allowing for structured data extraction and further processing. Returns:

src/langtorch/texts/text.py:246

↓ 45 callersMethodreshape

(self, *shape)

src/langtorch/tensors/texttensor.py:910

↓ 22 callersMethodkeys

(self)

src/langtorch/texts/text.py:257

↓ 16 callersMethodformat

(self, *args, **kwargs)

src/langtorch/texts/text.py:687

↓ 15 callersMethodsplit

(self, sep=" ", mode="auto")

src/langtorch/texts/text.py:498

↓ 11 callersMethoditem

(self)

src/langtorch/tensors/texttensor.py:733

↓ 11 callersFunctionmax

(input: TextTensor, definition: str = "the text that stands out as the best, most helpful and relevant

src/langtorch/semantic_algebra.py:46

↓ 11 callersMethodsum

Reduces the input tensor over the specified dimensions, optionally keeping dimensions.

src/langtorch/tensors/texttensor.py:658

↓ 10 callersMethodvalues

(self)

src/langtorch/texts/text.py:260

↓ 9 callersMethoditems

Get (key, value) pairs from all Text entries in tensors

src/langtorch/tensors/texttensor.py:736

↓ 9 callersMethodunsqueeze

(tensor, dim=0)

src/langtorch/tensors/texttensor.py:913

↓ 8 callersMethodadd_key_

(self, keys)

src/langtorch/texts/text.py:327

↓ 8 callersMethodapply

Applies a function: Text -> Text to each entry of self.content

src/langtorch/tensors/texttensor.py:550

↓ 7 callersMethodapply

(self, func, *args, to="values", **kwargs)

src/langtorch/texts/text.py:717

↓ 6 callersMethodcopy

(self)

src/langtorch/tensors/texttensor.py:646

↓ 6 callersMethodset_key

Override keys for the textual entries, used for restructuring the content. Useful for substituting the key right before passing TextT

src/langtorch/texts/text.py:263

↓ 6 callersFunctionto_ast

Reformats a wide array of construtor patterns into a unified AST-like format

src/langtorch/grammars/text_content_ast.py:18

↓ 6 callersMethodview

(self, *shape)

src/langtorch/tensors/texttensor.py:976

↓ 5 callersFunctioneval_dataset

(test_set, eval_fn, model, max_samples: int = None)

evaluation/prompt_optimization.py:52

↓ 5 callersFunctionmin

(input: TextTensor, definition: str = "the text that stands out as incorrect, least complete or of the

src/langtorch/semantic_algebra.py:74

↓ 5 callersMethodsave

(self, path=None)

src/langtorch/session.py:115

↓ 5 callersMethodset_key

(self, keys=None, inplace=False)

src/langtorch/tensors/texttensor.py:502

↓ 5 callersMethodstr_formatter

Formats the human-readable string of a Text instance. Subclasses of Text can reimplement this method! Args: instance (Te

src/langtorch/texts/text.py:128

↓ 5 callersMethodttype

(self)

src/langtorch/tensors/texttensor.py:320

↓ 4 callersMethod_join_key_value

Concatenates parsed text elements, handling spaces and formatting.

src/langtorch/texts/text.py:773

↓ 4 callersMethodexpand

(tensor, *sizes)

src/langtorch/tensors/texttensor.py:930

↓ 4 callersMethodload

(self, path=None, override=False, **kwargs)

src/langtorch/session.py:89

↓ 4 callersFunctionsum

(input: TextTensor, *args, **kwargs)

src/langtorch/_VariableFunctions.py:204

↓ 3 callersFunctionappend_text_labels

Formats the input by adding labels based on the specified dimensions.

src/langtorch/semalg_utils.py:12

↓ 3 callersFunctionchararray_to_TextArray

(arr, ttype=Text, shape=None, **kwargs)

src/langtorch/tensors/texttensor.py:29

↓ 3 callersMethodembed

(self, model=None, verbose=False)

src/langtorch/tensors/texttensor.py:886

↓ 3 callersFunctionformat_2d

(array_2d, max_width=200, wrap_text=False, indent=" ", spacing=2)

src/langtorch/grammars/formatters.py:86

↓ 3 callersFunctionis_Text

(obj)

src/langtorch/utils.py:34

↓ 3 callersFunctionis_TextTensor

(obj)

src/langtorch/utils.py:42

↓ 3 callersMethodmetadata_apply

Apply a specified function to a copy of metadata elements of the TextTensor. Parameters: - f_tensor (function, optional): Fu

src/langtorch/tensors/texttensor.py:598

↓ 3 callersMethodrequest

(self, provider, type, request_strings, cache=True)

src/langtorch/session.py:168

↓ 2 callersMethod__init__

(self, model: Union[str, TextTensor] = "gpt-3.5-turbo", system_message: Unio

src/langtorch/tt/modules/to_tt/activation.py:165

↓ 2 callersMethod__iter__

(self)

src/langtorch/texts/text.py:525

↓ 2 callersMethod_activation_backward

(variables: List[Variable], response: Variable, prom

src/langtorch/autograd/backward_activation.py:27

↓ 2 callersMethod_conv_forward

(self, input: TextTensor, weight: TextTensor, bias: Optional[TextTensor])

src/langtorch/tt/modules/to_tt/conv.py:264

↓ 2 callersMethodadd_key

(self, keys, inplace=False)

src/langtorch/tensors/texttensor.py:529

↓ 2 callersMethodadd_key

Add a top-level key, placing the items of the original as a value under the new key. Useful for working with nested keys like in Cha

src/langtorch/texts/text.py:296

↓ 2 callersMethodadd_response

(self, id, response)

src/langtorch/session.py:197

↓ 2 callersFunctionapi_endpoint_from_url

Extract the API endpoint from the request URL.

src/langtorch/api/parallel_processor_utils.py:122

↓ 2 callersMethodcall_api

Required method for calling the API.

src/langtorch/api/parallel_processor_utils.py:56

↓ 2 callersMethodcompletions

(self, type, provider, request_strings, key=None)

src/langtorch/session.py:215

↓ 2 callersMethodcontent_to_object_array

(cls, input, **kwargs)

src/langtorch/tensors/texttensor.py:210

↓ 2 callersMethodcpu

(self)

src/langtorch/types.py:43

↓ 2 callersMethoddetach

(self)

src/langtorch/tensors/texttensor.py:462

↓ 2 callersFunctionexecute_api_requests_in_parallel

( ids: list, request_strings: list, request_url: str, request_header: dict,

src/langtorch/api/api_threading.py:6

↓ 2 callersFunctionformat_1d_as_row

(array_1d, column_limit=200, wrap_text=False)

src/langtorch/grammars/formatters.py:121

↓ 2 callersMethodfrom_messages

Text from a list of dicts with keys 'role' and 'content

src/langtorch/texts/text.py:145

↓ 2 callersMethodgenerate

(activation, inputs, system_messages)

src/langtorch/tt/modules/to_tt/activation.py:133

↓ 2 callersMethodgetitem_over_metadata

Pick out entries of metadata with the provided index. Usually used to transfer metadata to a sub-tensors.

src/langtorch/tensors/texttensor.py:584

↓ 2 callersFunctionis_terminal_node

(entry)

src/langtorch/grammars/text_content_ast.py:113

↓ 2 callersMethodload

(cls, path: str, encoding="utf-8", parse: Union[bool, str] = True)

src/langtorch/texts/text.py:826

↓ 2 callersMethodmethod_apply

(self, method: str, *args, to="values", **kwargs)

src/langtorch/texts/text.py:706

↓ 2 callersMethodnumpy

(self)

src/langtorch/tensors/texttensor.py:479

↓ 2 callersFunctionpandoc_dict_to_tuple

(d)

src/langtorch/grammars/pandoc.py:99

↓ 2 callersFunctionprocess_line

(line, max_width, wrap_text)

src/langtorch/grammars/formatters.py:69

↓ 2 callersMethodsqueeze

(tensor, dim=None)

src/langtorch/tensors/texttensor.py:916

↓ 2 callersFunctionstack

r""" stack(texttensors, dim=0, *, out=None) -> Tensor Concatenates a sequence of tensors along a new dimension. All tensors need to be of t

src/langtorch/_VariableFunctions.py:42

↓ 2 callersFunctiontask_id_generator_function

Generate integers 0, 1, 2, and so on.

src/langtorch/api/parallel_processor_utils.py:139

↓ 2 callersMethodto

Removes the effects of the method from TextTensors, applies the method to embedding and/or token tensors

src/langtorch/tensors/texttensor.py:470

↓ 2 callersMethodto_list

(self)

src/langtorch/tensors/texttensor.py:697

↓ 2 callersMethodtokenizer

(self)

src/langtorch/tensors/texttensor.py:278

↓ 2 callersMethodupper

(self)

src/langtorch/texts/text.py:729

↓ 1 callersMethod__eq__

(self, other)

src/langtorch/tensors/texttensor.py:652

↓ 1 callersMethod__getattr__

(self, name)

src/langtorch/session.py:274

↓ 1 callersMethod__init__

(self, model, reshape=True, key=None, **model_kwargs)

src/langtorch/decorators.py:64

↓ 1 callersMethod__init__

Base class for all text optimizers. Args: params (iterable): an iterable of :class:`torch.Tensor` s or :class:`dict` s. Speci

src/langtorch/optim/optimizer.py:8

↓ 1 callersMethod__init__

(self, activation=None, key=None)

src/langtorch/methods/chain_of_thought.py:7

↓ 1 callersMethod__init__

(self, prompt: TextTensor, activation=None, key="loss", reduction: str = 'sum')

src/langtorch/tt/modules/to_tt/loss.py:16

↓ 1 callersMethod__init__

( self, weight: TextTensor, in_channels: int, out_channels: in

src/langtorch/tt/modules/to_tt/conv.py:240

↓ 1 callersMethod__mul__

(self, other)

src/langtorch/texts/text.py:559

↓ 1 callersMethod__new__

(cls, content="", parse=True, metadata=None, ttype: Text = None, embedding_mod

src/langtorch/tensors/texttensor.py:97

↓ 1 callersMethod__new__

(cls, *args, parse=True, **kwargs)

src/langtorch/tensors/markdowntensor.py:8

↓ 1 callersMethod__str__

(self)

src/langtorch/session.py:319

↓ 1 callersMethod__str__

(self)

src/langtorch/tensors/texttensor.py:639

↓ 1 callersMethod_add_message

(self, user_message, role="user")

src/langtorch/tt/modules/to_tt/assistantmodule.py:48

↓ 1 callersFunction_calculate_shape

(output: torch.Tensor, grad: torch.Tensor, is_grads_batched: bool)

src/langtorch/autograd/autograd.py:122

↓ 1 callersMethod_construct_prompt

(instruction_chain, backward_info)

src/langtorch/autograd/backward_activation.py:19

↓ 1 callersMethod_dict_to_tt

(cls, d, parse)

src/langtorch/tensors/texttensor.py:183

↓ 1 callersMethod_execute_code_serial

(self, code_entry, namespace_entry)

src/langtorch/tensors/codetensor.py:53

↓ 1 callersMethod_get_response

(self, run)

src/langtorch/tt/modules/to_tt/assistantmodule.py:61

↓ 1 callersMethod_handle_functions_on_embeddings

Substitutes the TextTensor entries with their embeddings and applies the function.

src/langtorch/tensors/texttensor.py:368

↓ 1 callersMethod_handle_functions_on_texts

(self, func: Callable, *args, **kwargs)

src/langtorch/tensors/texttensor.py:361

↓ 1 callersMethod_handle_functions_on_tokens

(self, func: Callable, *args, **kwargs)

src/langtorch/tensors/texttensor.py:410

↓ 1 callersMethod_parse_elements

Recursively parses Pandoc AST elements into a list of tuples.

src/langtorch/texts/text.py:745

↓ 1 callersMethod_recursive_walk_replace

Recursively walks through any iterable structure, finds all instances of target_class, and replaces them with the result of func appl

src/langtorch/tensors/texttensor.py:160

↓ 1 callersMethod_run

(self)

src/langtorch/tt/modules/to_tt/assistantmodule.py:54

↓ 1 callersFunction_unbroadcast_gradients

(input_grad, tensor1, tensor2, gradient_equation=(lambda grad, t1, t2: (grad, grad)), sep="")

src/langtorch/tt/functional.py:36

↓ 1 callersMethod_update_prompt

(self, param)

src/langtorch/optim/optimizer.py:97

↓ 1 callersMethod_wait_on_run

(self, run)

src/langtorch/tt/modules/to_tt/assistantmodule.py:78

↓ 1 callersMethodbackward

(ctx, grad_output)

src/langtorch/tt/functional.py:374

↓ 1 callersFunctionblock_to_markdown

(cls, entry: Union[str, Tuple[str, Union[str, List]]])

src/langtorch/grammars/utils.py:5

↓ 1 callersFunctionchat

Processes a list of chat prompts in parallel, saving the results to a specified file. Parameters: prompts (List[str] or List[Tuple[s

src/langtorch/api/call.py:155

↓ 1 callersFunctionchat_strings

Prepares a list of chat strings in JSON format for batch processing. Each string represents a separate chat prompt for the OpenAI API.

src/langtorch/api/call.py:98

↓ 1 callersFunctioncheck_for_lists

(tree)

src/langtorch/grammars/text_content_ast.py:89

↓ 1 callersFunctionconfig

()

evaluation/prompt_optimization.py:20

next →1–100 of 413, ranked by callers