THE CONSCIOUSNESS ATLAS
Read. Experiment. Follow the evidence.
Every recovered mathematical record has an individual page. Browse original equations, code expressions, indexed components, parameter definitions, and explicitly unresolved source slots.
Counts refer to mathematical records, including implemented expressions and generated instances. They are not counts of independently validated theories. Exact occurrences and unresolved slots remain traceable. Read the complete 1–516 source index ↗ · Inspect the scan decisions ↗
In TikTokenTokenizer._split_whitespaces_or_nonwhitespaces, this statement defines or updates current_slice_len. This statement fixes a numeric parameter or initializes a numerical state in this source version; it is not a separate governing law.
In TikTokenTokenizer._split_whitespaces_or_nonwhitespaces, this statement defines or updates slice_start. This statement fixes a numeric parameter or initializes a numerical state in this source version; it is not a separate governing law.
In TikTokenTokenizer.encode, this statement defines or updates MAX_NO_WHITESPACES_CHARS. This statement fixes a numeric parameter or initializes a numerical state in this source version; it is not a separate governing law.
In TikTokenTokenizer.encode, this statement defines or updates TIKTOKEN_MAX_ENCODE_CHARS. This statement fixes a numeric parameter or initializes a numerical state in this source version; it is not a separate governing law.
In TikTokenTokenizer.encode, this statement defines or updates substrs. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In TikTokenTokenizer.save_vocabulary, this statement defines or updates out_vocab_file. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In TikTokenTokenizer, this statement defines or updates num_reserved_special_tokens. This statement fixes a numeric parameter or initializes a numerical state in this source version; it is not a separate governing law.
In _get_unpad_data, this statement defines or updates cu_seqlens. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding module.
In _get_unpad_data, this statement defines or updates max_seqlen_in_batch. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding module.
In _get_unpad_data, this statement defines or updates seqlens_in_batch. The reduction aggregates values along the explicit source axis; preserving the axis and keep-dimension setting matters for the later broadcast.
In apply_rope, this statement defines or updates xk_out. The displayed multiplication combines the source factors. For tensors this is elementwise unless the called operation explicitly performs a matrix contraction.
In apply_rope, this statement defines or updates xq_out. The displayed multiplication combines the source factors. For tensors this is elementwise unless the called operation explicitly performs a matrix contraction.
In apply_rotary_pos_emb, this statement defines or updates k. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In apply_rotary_pos_emb, this statement defines or updates q. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In get_1d_sincos_pos_embed, this statement defines or updates grid_t. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding module.
In get_1d_sincos_pos_embed_from_grid, this statement defines or updates emb_cos. This is part of the positional-phase calculation. Frequency, position, sine/cosine and coordinate ordering must agree with the source rotary convention.
In get_1d_sincos_pos_embed_from_grid, this statement defines or updates emb_sin. This is part of the positional-phase calculation. Frequency, position, sine/cosine and coordinate ordering must agree with the source rotary convention.
In get_1d_sincos_pos_embed_from_grid, this statement defines or updates omega. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In get_1d_sincos_pos_embed_from_grid, this statement defines or updates omega. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In get_1d_sincos_pos_embed_from_grid, this statement defines or updates omega. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In get_1d_sincos_pos_embed_from_grid, this statement defines or updates out. The matrix or indexed contraction combines the stated axes. Compatible tensor dimensions and the transposes in this exact source expression determine the output.
In get_rope_shape, this statement returns the displayed result. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding module.
In get_usable_length, this statement returns the displayed result. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In image_to_np, this statement defines or updates new_height. The displayed multiplication combines the source factors. For tensors this is elementwise unless the called operation explicitly performs a matrix contraction.
In image_to_np, this statement defines or updates new_width. The displayed multiplication combines the source factors. For tensors this is elementwise unless the called operation explicitly performs a matrix contraction.
In image_to_np, this statement defines or updates padding_bottom. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In image_to_np, this statement defines or updates padding_bottom. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In image_to_np, this statement defines or updates padding_left. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In image_to_np, this statement defines or updates padding_right. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In image_to_np, this statement defines or updates padding_right. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In image_to_np, this statement defines or updates padding_top. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In image_to_np, this statement defines or updates scale. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In media_utils.py, this statement defines or updates MediaInput. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding module.
In navit_patchify, this statement defines or updates grid_thw. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In navit_patchify, this statement defines or updates patches. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In navit_resize_image, this statement defines or updates (new_w, new_h). The displayed multiplication combines the source factors. For tensors this is elementwise unless the called operation explicitly performs a matrix contraction.
In navit_resize_image, this statement defines or updates factor. The displayed multiplication combines the source factors. For tensors this is elementwise unless the called operation explicitly performs a matrix contraction.
In navit_resize_image, this statement defines or updates new_h. The displayed multiplication combines the source factors. For tensors this is elementwise unless the called operation explicitly performs a matrix contraction.
In navit_resize_image, this statement defines or updates new_w. The displayed multiplication combines the source factors. For tensors this is elementwise unless the called operation explicitly performs a matrix contraction.
In navit_resize_image, this statement defines or updates num_tokens. The displayed multiplication combines the source factors. For tensors this is elementwise unless the called operation explicitly performs a matrix contraction.
In navit_resize_image, this statement defines or updates pad_height. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In navit_resize_image, this statement defines or updates pad_width. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In navit_resize_image, this statement defines or updates s1. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In navit_resize_image, this statement defines or updates s2. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In navit_resize_image, this statement defines or updates s3. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In navit_resize_image, this statement defines or updates scale. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding module.
In navit_resize_image, this statement defines or updates token_height. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In navit_resize_image, this statement defines or updates token_width. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.