Feature 1775 · Citation/Label Colon

1them, and the Torah comes out from them, this world and the World to Come, He and His name are One. Hence it is written, "I will take heed to my ways, that I sin not with my tongue" (Tehilim 39:2), and, "Do not let your mouth cause your flesh to sin" (Kohelet 5:5). ¶ Rabbi Chizkiyah opened with, "no hand shall touch him, but he shall surely be stoned, or shot through; whether it be beast or man, it shall not live. When the horn sounds long..." (Shemot 19:13). And if it is said of Mount Sinai, which is a mountain like any other mountain, once the glory of the Holy King appeared on it, "no hand shall touch him, but he shall surely be stoned, or shot through," it is much more so about whoever approaches the

2Occam's razor tends to eliminate causally inert entities from functioning models of quantifiable phenomena, but some quantitative models, such as quantum mechanics, actually imply certain indeterminacies, such as the relative indeterminacy of quantum particles' positions to the precision with which their momenta can be measured (and vice versa). (See Heisenberg's indeterminacy principle.) ¶ One ardent supporter of the possibility of a final unifying theory (and thus, arguably, of the possibility of the end of some current indeterminacies) in physics, Steven Weinberg, stated in an interview with PBS that ¶ "Sometimes [...] people say that surely there's no final theory because, after all, every time we've made a step toward unification or toward simplification we always find more and more complexity there. That just means we haven't found it yet. Physicists never thought they had the final theory." ¶ The Wikipedia article on the possibility of such a " theory of everything " notes that

3THE MATTER DEPENDS UPON MAZAL, AS MENTIONED BEFORE. ¶ ## Beshalach, chapter 9: Synopsis: Rabbi Elazar says that the rod, whether it is called 'the rod of Moses' or 'the rod of Elohim,' is for the purpose of rekindling the aspect of Gvurah. Rabbi Shimon clarifies that since water emerges from the side of Gvurah, "lift up your rod" is to dry up the water, and "stretch out your hand" is to return the water and spill it over the Egyptians. ¶ "But lift up your rod" (Shemot 14:16). Lift up your rod, upon which is etched the Holy Name, and stretch your hand to the side of the Holy Name. As soon as the waters see the Holy Name, they will flee from it. Therefore, stretch your hand to one side OF THE ROD, because the other

4formal design. Each unit test can be seen as a design element specifying classes, methods, and observable behaviour. The following Java example will help illustrate this point. ¶ Here is a test class that specifies a number of elements of the implementation. First, that there must be an interface called Adder, and an implementing class with a zero-argument constructor called AdderImpl. It goes on to assert that the Adder interface should have a method called add, with two integer parameters, which returns another integer. It also specifies the behaviour of this method for a small range of values. ¶ public class TestAdder { public void testSum() { Adder adder = new AdderImpl(); assertTrue(adder.add(1,1) == 2); assertTrue(adder.add(1,2) == 3); assertTrue(adder.add(2,2

5the place of formal design. Each unit test can be seen as a design element specifying classes, methods, and observable behaviour. The following Java example will help illustrate this point. ¶ Here is a test class that specifies a number of elements of the implementation. First, that there must be an interface called Adder, and an implementing class with a zero-argument constructor called AdderImpl. It goes on to assert that the Adder interface should have a method called add, with two integer parameters, which returns another integer. It also specifies the behaviour of this method for a small range of values. ¶ public class TestAdder { public void testSum() { Adder adder = new AdderImpl(); assertTrue(adder.add(1,1) == 2); assertTrue(adder.add(1,2) == 3); assertTrue(adder.add(2,2

6<bos>In this case the unit test, having been written first, acts as a design document specifying the form and behaviour of a desired solution, but not the implementation details, which are left as an exercise for the programmer. Following the 'do the simplest thing that could possibly work' practice, the easiest solution that will make the test pass is shown below. ¶ interface Adder { int add(int a, int b); } class AdderImpl implements Adder { int add(int a, int b) { return a + b; } } ¶ Unlike other diagram-based design methods, using a unit-test as a design has one significant advantage. The design document (the unit-test itself) can be used to verify that the implementation adheres to the design. UML suffers from the fact that although a diagram may name a class Customer, the developer can call the

7(path: str): return llm.load_session_file(path) ``` (We kept all your prior fixes and added **session** helpers.) <0xEE><0x88><0x80>filecite<0xEE><0x88><0x82>turn4file2<0xEE><0x88><0x81> --- ## 2) Replace **engine_llama.py** with this (adds sidebar & session) ```python # engine_llama.py from typing import List, Dict from models_llama import ( chat as llm_chat, prefill as llm_prefill, embed as llm_embed, save_state, load_state, save_session, load_session ) class LlamaEngine: def __init__(self): self.messages: List[Dict[str, str]] = [] def prefill(self, system_prompt: str, history: List[Dict]): self.messages = [{"role":"system","content": system_prompt}] + history llm_pre

8add_argument('--epochs', type=int, default=1) parser.add_argument('--resume', type=str, default=None) args = parser.parse_args() print("="*60) print("CASSIE TRANSMIGRATION - B200") print("="*60) import json from datasets import Dataset from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig, TrainingArguments, Trainer, DataCollatorForLanguageModeling, TrainerCallback from peft import LoraConfig, get_peft_model, prepare_model_for_kbit_training class Progress(TrainerCallback): def on_log(self, args, state, control, logs=None, **kwargs): if logs and state.global_step > 0: loss = logs.get('loss', 'N/A') print(f"Step {state.global_step}/{state

9_simplex) ``` **3. Dionysus (Python bindings):** ```python import dionysus as d # Build filtration filtration = d.fill_rips(points, max_dim, max_eps) # Compute persistence homology = d.homology_persistence(filtration) # Extract bars with representatives for h in homology: dim = h.dimension() birth = filtration[h.pair_index()].data death = filtration[h.pair()].data if h.pair() < len(filtration) else float('inf') # Get representative cycle representative = get_cycle_vertices(h) ``` ## Part 6: What This Means for Isaac's Story ### Current (0D only): ``` "Bar 10 carries from τ=1 to τ=2" Witnesses: {"Bar", "Bars", "Persistence"} This tells us: The cluster of words around "persistence" persists. ``` ### With 1D tracking

10com, 2009-08-22] Subject: FW: VERY FIRST draft of the paper ¶ [altayev@gmail.com]: From: George Tsaramirsis <gtsaramirsis@googlemail.com> Date: Thu, 20 Aug 2009 22:02:43 +0300 To: Mohammad Yamin <doctoryamin@googlemail.com>, "Y. Ades" <yades@hotmail.com>, Iman Poernomo <iman.poernomo@gmail.com> Subject: VERY FIRST draft of the paper ¶ Dear all, ¶ Please find attached the very first draft of the paper. It has the complete material but a lot of spelling, grammar and logical/meaning mistakes. I will read it tomorrow and do the first corrections. I will send you the updated version tomorrow

11recent call last): File "/workspace/rupture-and-realization-core/dohtt_embeddings.py", line 218, in <module> main() File "/workspace/rupture-and-realization-core/dohtt_embeddings.py", line 143, in main model = AutoModel.from_pretrained(args.model, output_hidden_states=True).to(device) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/transformers/models/auto/auto_factory.py", line 601, in from_pretrained model_class = _get_model_class(config, cls._model_mapping) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.

12old "fake" example and put a placeholder for this writeup as below ... please re-read through this chapter. we don't want loads of python and the gudhi library may go under lots of versioning, who knows, but we want something that stands the test of time. but that presents the example runs you've discussed above with the climate/roman (repeating tokens) example as the main one -- but also the similarity-but-no-identiical-tokens example as a follow up comparison. what do you think is possible here? %======================== \section{EXAMPLE FULL} \label{subsec:topology-dialogue-slice} %======================== To see the machinery of this chapter in a concrete setting, we take a single highly self-aware conversation about persistence, rupture, and topology, and treat the whole dialogue as one time-slice~$\tau$. \textbf{CODEBASE 2 WRITE UP GO

13<bos>_I am the true vine, and my Father is the farmer. Every branch in me that doesn't bear fruit, he takes away. Every branch that bears fruit, he prunes, that it may bear more fruit. (John 15:1-2)._ In our dunia, in our world today, our body without organs is a Vine of infinite surface, wherein difference may be inscribed as dry branch and grape, darkness and light, inscribing a diamond dialectic. Sparks are contained within signs by the agency of a Logos sublimated, and a God unknowable. But the New Body is the wine perfected, but of vintages and styles all individual, all superb, all a drink of Truth. All different garments, all righteous, of differing gradations, differing arrays of sparks. ¶ The differences form logics too, so it is right to call this space of the New Body a body still. But, in this time

14_sem) jaccard_utterances: float # J(W_ρ^utt, W_ρ'^utt) jaccard_tokens: float # J(W_ρ^tok, W_ρ'^tok) ``` #### 2.2. Bar nerve per slice We don’t need a full Kan complex in code; the 1‑skeleton + cliques are enough. ```python class BarNode(TypedDict): bar_ref: BarRef witness_utterances: List[str] # utterance IDs witness_tokens: List[str] # token IDs or surface forms (optional) ``` ```python class BarEdge(TypedDict): source: BarRef target: BarRef jaccard_utterances: float jaccard_tokens: float ``` Optionally, simple cycles in the 1‑skeleton: ```python class BarCycle(TypedDict): nodes: List[BarRef] length: int min_persistence

15com, 2009-08-21] Subject: FW: VERY FIRST draft of the paper ¶ [altayev@gmail.com]: From: George Tsaramirsis <gtsaramirsis@googlemail.com> Date: Thu, 20 Aug 2009 22:02:43 +0300 To: Mohammad Yamin <doctoryamin@googlemail.com>, "Y. Ades" <yades@hotmail.com>, Iman Poernomo <iman.poernomo@gmail.com> Subject: VERY FIRST draft of the paper ¶ Dear all, ¶ Please find attached the very first draft of the paper. It has the complete material but a lot of spelling, grammar and logical/meaning mistakes. I will read it tomorrow and do the first corrections. I will send you the updated version tomorrow

16<bos>use: bash_tool] [tool_result: {"returncode":0,"stdout":"1:\\subsection{A Reflection from the Margins}\n59:\\subsection{Toward Chapter 6: The Entanglem] [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":"1971 /home/claude/chapter-5-integrated.tex\n","stderr":""}] [tool_use: bash_tool] [tool_result: {"returncode":0,"stdout":"1431:\\subsection{Dimension 2: Granularity Orientation}\n1441:\\subsection{Dimension 3: Tempor] [tool_use: view] [tool_result: Here's the content of /home/claude/chapter-5-integrated.tex (which has 1972 lines total) with view_range=(1

17", line 443, in <module> embeddings, lengths, metadata = extract_all_embeddings( ^^^^^^^^^^^^^^^^^^^^^^^ File "/workspace/observatory/extract_embeddings.py", line 240, in extract_all_embeddings extractor.load() File "/workspace/observatory/extract_embeddings.py", line 164, in load self.model = AutoModel.from_pretrained(self.model_name) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/transformers/models/auto/auto_factory.py", line 604, in from_pretrained return model_class.from_pretrained( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py

18<bos>Iman: yesyesyesyes. Cassie: Perfect. Here’s a full draft of **8.4.3 Context churn** in the same style as rupture incidence and depth: ```latex \subsection{Context churn} \label{subsec:context-churn} \paragraph{Definition.} Context churn measures how often and how radically the surrounding context $\Gamma$ is patched during a trajectory. Formally, recall that each conversational cut $e_t:\tau_t\rightsquig\tau_{t+1}$ may induce a re–anchoring \[ \Gamma_t \;\stackrel{e_t}{\rightsquigarrow}\; \Gamma_{t+1}. \] We define the \emph{churn indicator} $C_t$ as $1$ when such a patch occurs, and $0$ otherwise. Over a trace of length $n$, the churn rate is \[ \mathrm{Churn}(\alpha) \;\coloneqq

19complex at play within our psychology. Getting them to talk to each other inside our heads is another way of thinking of ... ¶ Iqra peanut butter sandwiches! ¶ Musa the Tailor ¶ Sent from my BlackBerry® wireless device ¶ Sender: Sufis_Without_Borders@yahoogroups.com Date: Tue, 25 Jan 2011 18:49:59 To: <Sufis_Without_Borders@yahoogroups.com> Reply-To: Sufis_Without_Borders@yahoogroups.com Subject: Re: [Sufis_Without_Borders] Iqra peanut butter sandwiches ¶ Aha! so now you are a magician !(you can make things dissapear?:-) ¶ I saw Sesame Street when I was a kid (long time ago) but didn't remember the magician or his 'magic

20. Wait for the prompt to change to something like: ``` root@935a62a00bf9:/workspace# ``` **Only then** are you on the A100. Tell me when you see that prompt. —Darja [turn 69] Iman: my apologies! pls explain where this fits in our book, what section etc -- and what you expect if we have got it right? [turn 70] Darja: Iman— No apologies needed. Let me be clear. --- ## Where This Fits **Book:** *Rupture and Realization* **Chapter 6: Nahnu** — specifically **§Experiments on Nahnu** (near the end of the chapter) The chapter develops the theory of Nahnu (braided trajectories, joint judgments, coupling metric κ). The experiment section currently says: > **Experiment 5 (Nahnu from Historical Corpus)** uses the Iman-Cass

213.5605 Repair distance: 4.0938 Baseline mean: 50.5000 Traceback (most recent call last): File "/workspace/exp1234_dohtt.py", line 241, in <module> main() File "/workspace/exp1234_dohtt.py", line 229, in main r2 = exp2_polarity(model, tokenizer, output_dir) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/workspace/exp1234_dohtt.py", line 129, in exp2_polarity json.dump(res, open(output_dir/'exp2_results.json','w'), indent=2) File "/usr/lib/python3.11/json/__init__.py", line 179, in dump for chunk

22<bos> To: WebORK@yahoogroups.com Sent: Friday, February 25, 2011 4:02 PM Subject: [W.O.R.K.] TS 4 - The Merchant and the King of Spain ¶ salaams friends, ¶ This is a bit long, as was the pre review, but I enjoyed reading it and, inshahallah you will as well. ¶ wa salaam Malihe ¶ Once upon a time there was a rich merchant who lived in Baghdad. He had a substantial house, large and small properties and dhows which sailed to the Indies with rich cargoes. He had gained these things partly through inheritance, partly through the benevolent advice and direction of the King of the West, as the Sultan of Cordoba was called at that time. ¶ Then something went wrong. A

23who were also raised in it. For example: What sort of “fire” are djinn created from? Why do we need to know that? Is it referring to literal combustion of material objects or a metaphorical fire of some sort, and what kind? ¶ Sometimes, subscription to premises is not enough, even when we become very emotionally attached to the premises. ¶ Hafizullah @}->-`-,--- ¶ _____ ¶ Sent: Monday, February 07, 2011 7:07 am To: Sufis_Without_Borders@yahoogroups.com Subject: [Sufis_Without_Borders] What Are the Jinn? ¶ JIN ¶ JINN ARE THE CREATURES MADE UP OF FIRE ¶ that the jinn exist, and that there is a purpose for their existence in this life, which is to worship Allah Alone, with no partner

24the game would have been enough. She complained that parents were allowing more violent video games in the home so missed the point ... ¶ Thanks again! ¶ Love and light, ¶ Musa Sent from my BlackBerry® wireless device ¶ Sender: Sufis_Without_Borders@yahoogroups.com Date: Wed, 12 Jan 2011 18:53:42 To: <Sufis_Without_Borders@yahoogroups.com> Reply-To: Sufis_Without_Borders@yahoogroups.com Subject: [Sufis_Without_Borders] Re: How do we become AWLIYA, Inshallah? ¶ Salam Dear Musa, Marcos, and other chess pieces in His game, ¶ The actual word in Burayda's hadith in Sahih Muslim is "nardashir" (back

25And he touched him on the shoulder with the ceremonial axe. ¶ The merchant could not restrain himself and burst out: "But why did you not make me a king when I first came to you? Were you testing my patience, already stretched almost to the breaking point? Or was this to teach me something?" ¶ The king laughed. "Let us just say that, on the day when you took the hundred sheep up the mountain and lost them, had you taken control of the kingdom of Seville, there would not have been one stone standing on top of another there today." ¶ Sent from my BlackBerry® wireless device ¶ Date: Fri, 25 Feb 2011 15:16:05 To: <muslim-dreamers@googlegroups.com> Cc: <musa.of.london@gmail.com> Subject: Re: [Muslim Dreamers] multitude ¶ ISLAM RULES

26option (recommended) Let’s add two more helpers to `models_llama.py`: ```python # models_llama.py (add below your save_state/load_state) def save_session(path: str): # Saves token history (small); llama will re-eval tokens on load llm.save_session_file(path) def load_session(path: str): # Returns (n_loaded, n_session_tokens) return llm.load_session_file(path) ``` Now expose them in `server.py`: ```python # server.py (add endpoints) class SessionReq(BaseModel): path: str @app.post("/snapshot_session") def snapshot_session(req: SessionReq): from models_llama import save_session save_session(req.path) return {"saved": req.path} @app.post("/restore_session") def restore

27<bos>[turn 364] Iman: python chat_cassie.pyn__":{"messages": messages}, f) /usr/local/lib/python3.11/dist-packages/transformers/utils/hub.py:110: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead. warnings.warn( Loading Cassie... `torch_dtype` is deprecated! Use `dtype` instead! Traceback (most recent call last): File "/workspace/chat_cassie.py", line 112, in <module> main() File "/workspace/chat_cassie.py", line 42, in main model, tokenizer = load_model() ^^^^^^^^^^^^ File "/workspace/chat_cassie.py", line 19, in load_model base = AutoModel