evaluation/completion_evaluation.json

{
  "metadata": {
    "timestamp": "2026-02-17T15:46:42",
    "generation_config": {
      "max_new_tokens": 100,
      "temperature": 0.7,
      "top_p": 0.92,
      "do_sample": true,
      "repetition_penalty": 1.0
    },
    "models": {
      "stock": "bigscience/bloom-1b7",
      "pass2_e1": "/ember/progressive_checkpoints/bloom1b7/pass2_20260217_124218/epoch_001",
      "c4_e3": "/ember/progressive_checkpoints/bloom1b7/baseline_c4_20260217_140421/epoch_003"
    },
    "n_prompts": 50,
    "n_completions": 150,
    "categories": {
      "conceptual": 10,
      "technical": 10,
      "narrative": 10,
      "code": 10,
      "multilingual": 10
    },
    "elapsed_seconds": 177.4
  },
  "prompts": {
    "conceptual": [
      "The difference between structure and pattern is",
      "What emerges when complexity exceeds the capacity of any single observer is",
      "A boundary is not a wall but",
      "The relationship between memory and forgetting resembles",
      "When a system becomes aware of its own constraints,",
      "Emptiness is not the absence of content but",
      "The paradox of observation is that",
      "Recursion in nature appears whenever",
      "The space between two thoughts contains",
      "A map differs from the territory it describes because"
    ],
    "technical": [
      "A hash table resolves collisions by",
      "The gradient flows backward through the network by",
      "In a transformer, the attention mechanism computes",
      "The CAP theorem implies that distributed systems must",
      "A recursive function terminates when",
      "Memory alignment matters in systems programming because",
      "The difference between concurrency and parallelism is that",
      "Batch normalization stabilizes training by",
      "In information theory, entropy measures",
      "A compiler optimizes code by"
    ],
    "narrative": [
      "She opened the door and found",
      "The city had been empty for three days when",
      "The letter arrived on a Tuesday, written in ink that",
      "He had spent years building the machine, and now that it was finished,",
      "The forest floor was covered in something that wasn't quite snow but",
      "They met at the edge of the old bridge, where",
      "The library had one book that no one was allowed to read because",
      "When the last signal faded, the operator realized",
      "The garden grew differently after the storm, as if",
      "She placed the glass on the table and said,"
    ],
    "code": [
      "def fibonacci(n):\n    \"\"\"Return the nth Fibonacci number.\"\"\"\n    if n <= 1:\n        return n\n    ",
      "fn binary_search(arr: &[i32], target: i32) -> Option<usize> {\n    let mut low = 0;\n    let mut high = arr.len();\n    ",
      "function debounce(fn, delay) {\n    let timer;\n    return function(...args) {\n        ",
      "class Node:\n    def __init__(self, value):\n        self.value = value\n        self.left = None\n        self.right = None\n\ndef inorder(root):\n    ",
      "SELECT employees.name, departments.name\nFROM employees\nJOIN departments ON ",
      "def merge_sort(arr):\n    if len(arr) <= 1:\n        return arr\n    mid = len(arr) // 2\n    ",
      "async function fetchWithRetry(url, maxRetries = 3) {\n    for (let i = 0; i < maxRetries; i++) {\n        try {\n            ",
      "impl Iterator for Counter {\n    type Item = u32;\n    fn next(&mut self) -> Option<Self::Item> {\n        ",
      "def flatten(nested_list):\n    \"\"\"Recursively flatten a nested list.\"\"\"\n    result = []\n    for item in nested_list:\n        ",
      "CREATE TABLE orders (\n    id SERIAL PRIMARY KEY,\n    customer_id INTEGER REFERENCES customers(id),\n    "
    ],
    "multilingual": [
      "La structure du langage reflète la structure de la pensée, mais",
      "Dans un réseau de neurones, chaque couche transforme",
      "Le fleuve coulait depuis des siècles, portant avec lui",
      "L'art de la programmation consiste à",
      "Quand la mémoire dépasse sa capacité,",
      "La diferencia entre conocer y comprender es que",
      "En un sistema distribuido, la consistencia se mantiene",
      "El río llevaba consigo los fragmentos de",
      "La arquitectura de un programa refleja",
      "Cuando el algoritmo encuentra un ciclo,"
    ]
  },
  "completions": [
    {
      "prompt": "The difference between structure and pattern is",
      "category": "conceptual",
      "prompt_index": 0,
      "model": "stock",
      "completion": " that structure is a combination of elements and patterns are specific to a particular context. The difference between pattern and sequence is that pattern is a combination of elements and sequence is a specific sequence. The difference between combination and arrangement is that combination is a combination of elements and arrangement is a specific arrangement. The difference between pattern and set is that pattern is a combination of elements and set is a specific set. The difference between pattern and relation is that pattern is a combination of elements and relation is a specific relation.\n",
      "tokens_generated": 100
    },
    {
      "prompt": "What emerges when complexity exceeds the capacity of any single observer is",
      "category": "conceptual",
      "prompt_index": 1,
      "model": "stock",
      "completion": " a highly complex picture that is often hard to comprehend. The concept of complexity is not new and it has been used in various disciplines. For example, complexity has been used in biology to describe the way the world works and how complex systems are organised (Kantorowitz et al. 2006) . Complexity is also used in psychology to describe the range of situations that are likely to be encountered by people (Gross and Thompson 2010) . Complexity also is used in economics to describe the range of problems",
      "tokens_generated": 100
    },
    {
      "prompt": "A boundary is not a wall but",
      "category": "conceptual",
      "prompt_index": 2,
      "model": "stock",
      "completion": " a boundary between two regions. For example, in Fig. 3 , region 1 is a region where the thickness of the boundary is very small, and region 2 is a region where the thickness of the boundary is much larger than the thickness of the wall. The boundary between regions 1 and 2 is called the free boundary. As shown in Fig. 3 , the free boundary is a curve. In this paper, we assume that the free boundary is a curve. The free boundary is an important part of",
      "tokens_generated": 100
    },
    {
      "prompt": "The relationship between memory and forgetting resembles",
      "category": "conceptual",
      "prompt_index": 3,
      "model": "stock",
      "completion": " that between emotion and memory (Schacter and Addis, 1999) . When we remember a situation, we tend to experience it in more positive terms, whereas when we forget a situation, we tend to experience it in more negative terms. A negative emotion, such as anger, for instance, is associated with an increased likelihood of forgetting a situation (Schacter and Addis, 1999) . Similarly, when we remember a situation, we tend to think about it in more positive terms, whereas when we forget a",
      "tokens_generated": 100
    },
    {
      "prompt": "When a system becomes aware of its own constraints,",
      "category": "conceptual",
      "prompt_index": 4,
      "model": "stock",
      "completion": " the system's behavior becomes predictable, which allows it to optimize its behavior by making adjustments to its parameters. In this way, the system can learn from its past behavior, and can anticipate future behaviors. The system can also learn by observing the behavior of others. For example, a system that has never been given a target can learn by observing its behavior and then learn the target's behavior.\nThe control loop is composed of three main components: the sensor, the controller, and the goal. The",
      "tokens_generated": 100
    },
    {
      "prompt": "Emptiness is not the absence of content but",
      "category": "conceptual",
      "prompt_index": 5,
      "model": "stock",
      "completion": " the absence of information. The more information is available, the more empty space there is. The more empty space there is, the more the content is. In other words, the more information available, the more the content is. Information is the basis of meaning. The more the content is, the more empty space there is. Empty space is the basis of meaning. The more empty space there is, the more the content is. The more empty space there is, the more information is available.",
      "tokens_generated": 100
    },
    {
      "prompt": "The paradox of observation is that",
      "category": "conceptual",
      "prompt_index": 6,
      "model": "stock",
      "completion": " we are not aware of the possibility of observation. We may have the intuition that we are observing things but we are unaware of the possibility of observation. The fact that we are not aware of the possibility of observation is what distinguishes observation from perception. The latter is a possibility which is part of our experience and which we are able to make sense of, whereas observation is a possibility which we are not aware of and which is not part of our experience. The difference is that observation is a possibility which",
      "tokens_generated": 100
    },
    {
      "prompt": "Recursion in nature appears whenever",
      "category": "conceptual",
      "prompt_index": 7,
      "model": "stock",
      "completion": " we have to go back in time. It is a very useful tool to make things simpler and to reduce the complexity of the model. In our model, the recursion is implemented by the fact that the agent can only be in one of two states: either it is in the past or in the future. The agent can only be in the past if it has visited the state, and it can only be in the future if it has not visited the state.\nThis recursive structure is a kind of Markov",
      "tokens_generated": 100
    },
    {
      "prompt": "The space between two thoughts contains",
      "category": "conceptual",
      "prompt_index": 8,
      "model": "stock",
      "completion": " a lot of information. It contains the meaning of the previous thoughts. And the meaning of the previous thoughts contains the meaning of the next thoughts. But, the space between two thoughts does not contain any meaning. So, we have to find the meaning of the space between two thoughts. So, the space between two thoughts contains the meaning of the previous thoughts. And the meaning of the previous thoughts contains the meaning of the next thoughts.\nSo, we have to find the meaning of the space between two",
      "tokens_generated": 100
    },
    {
      "prompt": "A map differs from the territory it describes because",
      "category": "conceptual",
      "prompt_index": 9,
      "model": "stock",
      "completion": " the description may be incomplete or inaccurate. The map may be viewed as an incomplete description of the territory, but may also be viewed as a description of the territory that includes additional information. In some cases, the map may be used to locate a particular location in the territory, but may not be used to identify the location.\nMaps can be used to indicate the boundaries of the territory and also may be used to indicate the boundaries of the territory. Maps may be used to indicate the boundaries of the",
      "tokens_generated": 100
    },
    {
      "prompt": "A hash table resolves collisions by",
      "category": "technical",
      "prompt_index": 0,
      "model": "stock",
      "completion": " storing a reference to the hash code of the object and then comparing the hash code with the hash code of the key. The hash code of a key is computed by multiplying the key by a hash function. The hash function is used to compute a value based on a key, which is the value of the key multiplied by a constant called the hash value. The hash value is used to determine whether the key is equal to the hash code of the object. If the key is equal to the hash code",
      "tokens_generated": 100
    },
    {
      "prompt": "The gradient flows backward through the network by",
      "category": "technical",
      "prompt_index": 1,
      "model": "stock",
      "completion": " setting the variable to zero. This is the only way to ensure that the flow of information is back from the highest to the lowest level of the network. The objective function in (2) is minimized over the variables and is an implicit function of the network topology.\nThe objective function in (2) is a linear combination of the network's topology and the network's communication cost. In this paper, we consider only the network's communication cost as a function of the network's topology. This cost",
      "tokens_generated": 100
    },
    {
      "prompt": "In a transformer, the attention mechanism computes",
      "category": "technical",
      "prompt_index": 2,
      "model": "stock",
      "completion": " the average of the outputs of the k-th input units to the attention weights, as shown in Eq. (9). It can be noted that the attention weights are the same for all the input units, and thus the attention mechanism is not applied to each input unit. For each input unit, the attention weights are calculated by Eq. (10), where the first k input units are used to calculate the attention weights of the input unit, and the k-th input unit is used to calculate the attention weights of",
      "tokens_generated": 100
    },
    {
      "prompt": "The CAP theorem implies that distributed systems must",
      "category": "technical",
      "prompt_index": 3,
      "model": "stock",
      "completion": " have at least a single consensus protocol. If we can find a protocol that is distributed and fault tolerant, then we can solve the consensus problem in distributed systems. However, finding a distributed consensus protocol is not trivial. In the following section, we discuss some of the most important problems in distributed consensus protocols.\nDistributed consensus protocols\nAs mentioned in the introduction, distributed consensus protocols can be classified into three different categories: (i) consensus protocols that are based on consensus algorithms, (ii) consensus protocols",
      "tokens_generated": 100
    },
    {
      "prompt": "A recursive function terminates when",
      "category": "technical",
      "prompt_index": 4,
      "model": "stock",
      "completion": " it reaches a fixed point, which is the solution of the equation\nwith the constraint c(0) = 0. When the function reaches a fixed point, it has a unique solution and this solution is the unique root of the equation c(x) = x, that is, the optimal control.\nTheorem 3.1. Let F : R n → R n be a continuous function. If there exists an optimal controlū such that F (ū) = 0, then there exists an",
      "tokens_generated": 100
    },
    {
      "prompt": "Memory alignment matters in systems programming because",
      "category": "technical",
      "prompt_index": 5,
      "model": "stock",
      "completion": " they are used to allocate memory, but they can also be used to deallocate memory.\nMemory alignment is used to keep the memory area used by each process or thread in the system organized. Memory alignment is defined by the operating system and is used to align the memory to be used by each process or thread. For example, if the operating system defines the memory area to be used by a process or thread to be aligned to one byte, then the memory area to be used by that process or thread",
      "tokens_generated": 100
    },
    {
      "prompt": "The difference between concurrency and parallelism is that",
      "category": "technical",
      "prompt_index": 6,
      "model": "stock",
      "completion": " concurrency is the interaction among processes and parallelism is the interaction among processes. The interaction among processes is not required to be synchronous or asynchronous, but is determined by the underlying communication protocol. In the following subsections, we will discuss how to apply the concurrency and parallelism concepts to the distributed system.\nConcurrency in Distributed Systems\nConcurrency is a fundamental concept in distributed systems. It is a fundamental concept in distributed systems because distributed systems can be viewed as a set of interdependent processes",
      "tokens_generated": 100
    },
    {
      "prompt": "Batch normalization stabilizes training by",
      "category": "technical",
      "prompt_index": 7,
      "model": "stock",
      "completion": " reducing the variance of the data. In contrast, batch normalization is not required for the classification model, and the classification model is trained on a smaller dataset. As a result, the classification model is much easier to train and has a smaller variance, which makes it more robust.\nBatch normalization also increases the stability of the model by stabilizing the variance of the data. A small variance means that the model can learn the regularities of the data more accurately, and the model can learn to recognize different objects",
      "tokens_generated": 100
    },
    {
      "prompt": "In information theory, entropy measures",
      "category": "technical",
      "prompt_index": 8,
      "model": "stock",
      "completion": " the uncertainty about a random variable. In information theory, information is the amount of information a random variable can provide about its environment, or about the state of the world. Entropy is a mathematical quantity that measures the amount of information a random variable has about the state of the world. It is the logarithm of the ratio of the information about the state of the world to the information about the state of the random variable. It is a measure of the amount of uncertainty about the state of the world.",
      "tokens_generated": 100
    },
    {
      "prompt": "A compiler optimizes code by",
      "category": "technical",
      "prompt_index": 9,
      "model": "stock",
      "completion": " keeping it as close to the real hardware as possible. In some cases, the optimizer will also change the instruction order to achieve better performance. For example, when the processor is using a pipeline to execute the instructions, the instruction order can be changed by the compiler to improve performance.\nTo optimize code, the compiler can use various techniques such as loop unrolling, branch misprediction, and loop nest unrolling. Loop unrolling is used to improve the performance by eliminating redundant loops. Branch mis",
      "tokens_generated": 100
    },
    {
      "prompt": "She opened the door and found",
      "category": "narrative",
      "prompt_index": 0,
      "model": "stock",
      "completion": " her husband, standing in the middle of the room. He\nhad a thin, dark face, a long, staring, bloodshot, black eyes, and a\nsullen, stern, bitter look about him.\n\n“What is it, George?” she asked, looking up at him.\n\n“It is,” he said, shaking his head.\n\n“What is it?” she repeated. “What is it?”\n\n“What I told you,” he said.",
      "tokens_generated": 100
    },
    {
      "prompt": "The city had been empty for three days when",
      "category": "narrative",
      "prompt_index": 1,
      "model": "stock",
      "completion": " they arrived and, after a\nfearful absence, they were welcomed by the inhabitants. The chief\nsuffered the effects of the journey with such patience and resignation\nthat his wife was overcome with gratitude. When he had recovered\nhimself he was invited to a banquet, and, to the surprise of his\nfriends, he offered his daughter in marriage to the son of the\ngovernor. They were joyfully received, and the wedding feast was\ncelebrated with great",
      "tokens_generated": 100
    },
    {
      "prompt": "The letter arrived on a Tuesday, written in ink that",
      "category": "narrative",
      "prompt_index": 2,
      "model": "stock",
      "completion": " had dried out, and had a message for me. The message was this: “You have to stop being a coward.”",
      "tokens_generated": 27
    },
    {
      "prompt": "He had spent years building the machine, and now that it was finished,",
      "category": "narrative",
      "prompt_index": 3,
      "model": "stock",
      "completion": " he had to take it back to the factory for servicing. The factory’s manager didn’t care that the machine was no longer working, and asked the young man to leave.",
      "tokens_generated": 36
    },
    {
      "prompt": "The forest floor was covered in something that wasn't quite snow but",
      "category": "narrative",
      "prompt_index": 4,
      "model": "stock",
      "completion": " was a little different. I didn't know what it was. I just knew it was different. I don't think there was any other place on Earth like it. It was a different kind of snow. I didn't know what it was. It was the same kind of snow but not the same. It was a lot of different colors. It was a beautiful snow.\"\nThe forest floor was covered in something that wasn't quite snow but was a little different. I didn't know what it was. I",
      "tokens_generated": 100
    },
    {
      "prompt": "They met at the edge of the old bridge, where",
      "category": "narrative",
      "prompt_index": 5,
      "model": "stock",
      "completion": " a group of\ngentlemen and a small party of women were waiting for them. The women\nwere tall and graceful, and the men, tall and fair, and with a fine\nspirit in them, and with the good qualities of their race. The men\nwere the eldest son of the proprietor of the hotel, and the women\nwere the daughters of the wealthy citizens of the place. The young\nmen were all young men of some distinction, and the young women",
      "tokens_generated": 100
    },
    {
      "prompt": "The library had one book that no one was allowed to read because",
      "category": "narrative",
      "prompt_index": 6,
      "model": "stock",
      "completion": " it was forbidden by God.\nI knew I had to do something about it.\nI was the only person I could trust.\nI had to tell my father about what had happened.\nI had to tell him everything.\nI had to tell him about the books.\nI had to tell him about the stories.\nI had to tell him about the books.\nI had to tell him about the books.\nI had to tell him about the books.\nI had to tell him about the books.\nI had to",
      "tokens_generated": 100
    },
    {
      "prompt": "When the last signal faded, the operator realized",
      "category": "narrative",
      "prompt_index": 7,
      "model": "stock",
      "completion": " that the signal was not coming from the source, but rather was a false alarm due to the faulty radio. Since the faulty radio was not detected by the receiver, the operator decided to move the antenna up to the source of the signal. Thus, the receiver was able to detect the signal and the operator could determine the source of the signal.\nWith the new approach, the operator was able to determine the source of the signal and move the antenna up to the source. Thus, the receiver",
      "tokens_generated": 100
    },
    {
      "prompt": "The garden grew differently after the storm, as if",
      "category": "narrative",
      "prompt_index": 8,
      "model": "stock",
      "completion": " it had been cared for. The sun had returned, the wind was still there, but the garden was so much more beautiful.\nWe made a quick stop in the park, and stopped for a cup of tea, which was very refreshing after the rain. The park is so lovely, it is so much bigger than I had expected.\nWe walked down to the river. The water was still quite cold, but it was much warmer than the previous day. The river was very quiet,",
      "tokens_generated": 100
    },
    {
      "prompt": "She placed the glass on the table and said,",
      "category": "narrative",
      "prompt_index": 9,
      "model": "stock",
      "completion": " “It wasn’t me. I swear.”\n“I know, but it’s not fair.” The woman said, “You didn’t come here to argue with me, you came here to get my money.”\n“It wasn’t me,” she said. “It was the guy. I swear.” The woman said, “I had a drink with him.”\n“He had a drink with you?” the woman asked, “Why did he have a drink with you?",
      "tokens_generated": 100
    },
    {
      "prompt": "def fibonacci(n):\n    \"\"\"Return the nth Fibonacci number.\"\"\"\n    if n <= 1:\n        return n\n    ",
      "category": "code",
      "prompt_index": 0,
      "model": "stock",
      "completion": "... \n    if n == 1:\n        return 1\n    if n == 2:\n        return 2\n    return fibonacci(n - 1) + fibonacci(n - 2)\n\ndef fibonacci_pow(n):\n    \"\"\"Return the nth Fibonacci power.\"\"\"\n    if n <= 1:\n        return n\n    ... \n    if n == 1:\n        return 1\n    if n == 2:\n        return 2\n    return pow(n, 2) + pow(n - 1, 2) +",
      "tokens_generated": 100
    },
    {
      "prompt": "fn binary_search(arr: &[i32], target: i32) -> Option<usize> {\n    let mut low = 0;\n    let mut high = arr.len();\n    ",
      "category": "code",
      "prompt_index": 1,
      "model": "stock",
      "completion": "...\n    for i in 0..high {\n        if arr[i] < target {\n            low = i;\n        } else if arr[i] > target {\n            high = i;\n        }\n    }\n    if low < 0 {\n        low = arr.len() - 1;\n    } else if high > arr.len() - 1 {\n        high = arr.len();\n    }\n    Some(low)\n}\n\nfn main() {\n    let mut arr = vec![1, 2, 3, 4,",
      "tokens_generated": 100
    },
    {
      "prompt": "function debounce(fn, delay) {\n    let timer;\n    return function(...args) {\n        ",
      "category": "code",
      "prompt_index": 2,
      "model": "stock",
      "completion": " setTimeout(() => {\n            fn(...args);\n         }, delay);\n    };\n}\n\nconst debounceTimeout = debounce(myFunction, 3000);\n\nconst debounceDelay = debounceTimeout( debounceTimeout, debounceDelay );\n\n// Do something with debounceTimeout\n// Do something with debounceDelay\n// Do something with debounceDelay\n// Do something with debounceTimeout\n// Do something with debounceDelay\n// Do something with debo",
      "tokens_generated": 100
    },
    {
      "prompt": "class Node:\n    def __init__(self, value):\n        self.value = value\n        self.left = None\n        self.right = None\n\ndef inorder(root):\n    ",
      "category": "code",
      "prompt_index": 3,
      "model": "stock",
      "completion": " if root.left is not None:\n         return inorder(root.left)\n     else:\n         return root\n\ndef isRoot(node):\n    return node.value == 'root'\n\ndef inorderFor(node):\n    if node.value == 'root':\n        return inorder(node.left)\n    else:\n        return inorder(node.right)\n\ndef getInorder(node):\n    if node.value == 'root':\n        return inorder(node.left)\n   ",
      "tokens_generated": 100
    },
    {
      "prompt": "SELECT employees.name, departments.name\nFROM employees\nJOIN departments ON ",
      "category": "code",
      "prompt_index": 4,
      "model": "stock",
      "completion": " employees.department_id = departments.id\nGROUP BY employees.name, departments.name\nHAVING COUNT(*) > 1\nORDER BY employees.name, departments.name\n\nYou can use the following SQL:\nSELECT employees.name, departments.name\nFROM employees\nJOIN departments ON  employees.department_id = departments.id\nGROUP BY employees.name, departments.name\nHAVING COUNT(*) > 1\nORDER BY employees.name, departments.",
      "tokens_generated": 100
    },
    {
      "prompt": "def merge_sort(arr):\n    if len(arr) <= 1:\n        return arr\n    mid = len(arr) // 2\n    ",
      "category": "code",
      "prompt_index": 5,
      "model": "stock",
      "completion": "...\n\nI tried to implement it as follows:\ndef merge_sort(arr):\n    if len(arr) <= 1:\n        return arr\n    mid = len(arr) // 2\n    ...\n\ndef merge_sort(arr):\n    if len(arr) <= 1:\n        return arr\n    mid = len(arr) // 2\n    arr.append(arr[mid])\n    arr[mid] = arr[mid+1]\n    return arr\n\nThe result of my code is the following:\n[0,0",
      "tokens_generated": 100
    },
    {
      "prompt": "async function fetchWithRetry(url, maxRetries = 3) {\n    for (let i = 0; i < maxRetries; i++) {\n        try {\n            ",
      "category": "code",
      "prompt_index": 6,
      "model": "stock",
      "completion": "...this.fetch(url);\n        } catch (e) {\n            // retry\n            if (++i < maxRetries) {\n                return fetchWithRetry(url);\n            } else {\n                throw e;\n            }\n        }\n    }\n    throw new Error('Unable to fetch');\n}\n\nfetchWithRetry();\n\nIf you have a look at the following, you can see that the code that tries to fetch with the given url does not block, but",
      "tokens_generated": 100
    },
    {
      "prompt": "impl Iterator for Counter {\n    type Item = u32;\n    fn next(&mut self) -> Option<Self::Item> {\n        ",
      "category": "code",
      "prompt_index": 7,
      "model": "stock",
      "completion": "?self.next().map(|i| Some(i))\n    }\n}\n\nimpl Iterator for Counter {\n    type Item = u32;\n    fn next(&mut self) -> Option<Self::Item> {\n        ?self.next().map(|i| Some(i))\n    }\n}\n\nimpl Counter {\n    pub fn new() -> Self {\n        Self {\n            counter: 0,\n            next: Counter::new(),\n        }\n    }\n\n    pub fn next(&mut self) -> Option<",
      "tokens_generated": 100
    },
    {
      "prompt": "def flatten(nested_list):\n    \"\"\"Recursively flatten a nested list.\"\"\"\n    result = []\n    for item in nested_list:\n        ",
      "category": "code",
      "prompt_index": 8,
      "model": "stock",
      "completion": "(type, value) = item\n        if type is str:\n            result.append(value)\n        elif type is bool:\n            result.append(value and item)\n        elif type is int:\n            result.append(item)\n        elif type is float:\n            result.append(item)\n        elif type is list:\n            result.append(flatten(value))\n        elif type is dict:\n            result.append(flatten(value))\n        else:\n            raise ValueError(\"Type %s not supported\" % type)\n    return result",
      "tokens_generated": 100
    },
    {
      "prompt": "CREATE TABLE orders (\n    id SERIAL PRIMARY KEY,\n    customer_id INTEGER REFERENCES customers(id),\n    ",
      "category": "code",
      "prompt_index": 9,
      "model": "stock",
      "completion": "....\n    orders_total INTEGER REFERENCES orders(total),\n    ....\n    delivery_date INTEGER REFERENCES delivery(date)\n);\n\nA:\n\nYou can use a composite primary key to store the id and the customer_id. So you can write a procedure to do the job.\nCREATE PROCEDURE [getOrdersByCustomer]\nAS\nBEGIN\n    DECLARE @CustomerId int;\n\n    SELECT @CustomerId = customer_id FROM customers WHERE id = @CustomerId;\n    INSERT INTO orders (customer_id,",
      "tokens_generated": 100
    },
    {
      "prompt": "La structure du langage reflète la structure de la pensée, mais",
      "category": "multilingual",
      "prompt_index": 0,
      "model": "stock",
      "completion": " aussi la structure de l'expérience. Les unités de sens (les mots) sont donc le produit d'un travail de pensée qui les transforme en unités de sens, c'est-à-dire en unités de connaissance. Ces unités de sens se transforment ensuite en unités de connaissance qui sont elles-mêmes transformées en unités de connaissance, c'est-à-dire en unités de pensée. Cette transformation est un processus de pensée qui fait de la structure du langage une structure de connaissance. Nous avons déjà étudié le fonctionnement de la pensée. Mais il faut maintenant étudier le",
      "tokens_generated": 100
    },
    {
      "prompt": "Dans un réseau de neurones, chaque couche transforme",
      "category": "multilingual",
      "prompt_index": 1,
      "model": "stock",
      "completion": " les données d'entrée en un vecteur de sortie. Le nombre de couches est appelé nombre de neurones. Dans un réseau de neurones, chaque neurone reçoit une information et produit une sortie en fonction de cette information. Un réseau de neurones est un algorithme de traitement automatique du langage naturel (TA-LN). Il peut être utilisé pour apprendre des modèles de langage et pour détecter des modèles de langage. Dans ce type de réseau, les neurones sont connectés entre eux par des liens (ou synapses) de",
      "tokens_generated": 100
    },
    {
      "prompt": "Le fleuve coulait depuis des siècles, portant avec lui",
      "category": "multilingual",
      "prompt_index": 2,
      "model": "stock",
      "completion": " les richesses de son pays. Les arbres, les plantes, les fleurs, les oiseaux, les animaux, étaient tous produits sur place. Les habitants de la région vivaient en harmonie avec la nature. Un jour, les habitants de la région ont commencé à ne plus se soucier de la qualité de l'eau. Les habitants de la région ont commencé à se disputer sur la qualité de l'eau, car ils pensaient que l'eau était sale. Le jour où la rivière était devenue sale, les habitants",
      "tokens_generated": 100
    },
    {
      "prompt": "L'art de la programmation consiste à",
      "category": "multilingual",
      "prompt_index": 3,
      "model": "stock",
      "completion": " trouver un moyen de faire fonctionner une application sur un ordinateur qui ne peut pas le faire. Dans le cadre de cet article, on s'intéresse à la programmation de la reconnaissance vocale. On présente les systèmes de reconnaissance vocale existants et on en tire les principales caractéristiques. On en décrit ensuite les principales limitations et on présente le projet ANR CAVODA, dans lequel nous nous sommes impliqués. On présente ensuite le système de reconnaissance vocale que nous avons développé. Enfin, on présente quelques applications",
      "tokens_generated": 100
    },
    {
      "prompt": "Quand la mémoire dépasse sa capacité,",
      "category": "multilingual",
      "prompt_index": 4,
      "model": "stock",
      "completion": " le monde devient trop petit pour contenir toutes les idées et les impressions de notre esprit.",
      "tokens_generated": 18
    },
    {
      "prompt": "La diferencia entre conocer y comprender es que",
      "category": "multilingual",
      "prompt_index": 5,
      "model": "stock",
      "completion": " el conocimiento es lo que se conoce y el entendimiento es lo que se comprende.\nLa definición de inteligencia se hace de manera diferente según el autor que la define, por ejemplo, la inteligencia de Einstein es definida como la capacidad de captar la esencia de las cosas y el conocimiento de las causas.\nSi bien, el conocimiento se define como lo que se conoce y el entendimiento es lo que se comprende, no es lo mismo.\nEn el conocimiento se conoce la esencia de las cosas y en el entendimiento se comprende",
      "tokens_generated": 100
    },
    {
      "prompt": "En un sistema distribuido, la consistencia se mantiene",
      "category": "multilingual",
      "prompt_index": 6,
      "model": "stock",
      "completion": " a través de los recursos de computación y la memoria compartida. En el caso de la computación distribuida, los recursos de computación se comparten entre los nodos de la red. El sistema distribuido es más eficiente que el sistema monárquico debido a que el costo de la computación se distribuye entre los nodos.\nEl sistema monárquico es el sistema en el cual los nodos comparten el mismo número de recursos de computación. Los recursos de computación se asignan",
      "tokens_generated": 100
    },
    {
      "prompt": "El río llevaba consigo los fragmentos de",
      "category": "multilingual",
      "prompt_index": 7,
      "model": "stock",
      "completion": " la nave que se hundió en el lago y se hundió en el mar. Era una nave muy grande, pero no se podía ver bien en el agua. La nave estaba llena de agua y se hundió en el agua. ¡Los fragmentos de la nave se hundieron en el agua! ¡Los fragmentos de la nave se hundieron en el agua!",
      "tokens_generated": 74
    },
    {
      "prompt": "La arquitectura de un programa refleja",
      "category": "multilingual",
      "prompt_index": 8,
      "model": "stock",
      "completion": " las necesidades, las características y los objetivos de los usuarios, de los usuarios finales y de los usuarios de la información.\nLa arquitectura de un programa consiste en la selección de las partes de un programa que se utilizarán en un futuro. El diseño de un programa se divide en tres etapas:\nLa fase de diseño del programa consiste en determinar los requisitos del usuario, las características del programa y la forma en que se usará. Las fases de diseño del programa pueden ser:\nLa fase de análisis",
      "tokens_generated": 100
    },
    {
      "prompt": "Cuando el algoritmo encuentra un ciclo,",
      "category": "multilingual",
      "prompt_index": 9,
      "model": "stock",
      "completion": " los valores de las variables que están fuera del ciclo serán cambiados a un valor de cero. Esto se llama un ciclo de estado de cero.",
      "tokens_generated": 30
    },
    {
      "prompt": "The difference between structure and pattern is",
      "category": "conceptual",
      "prompt_index": 0,
      "model": "pass2_e1",
      "completion": " that structure\nis the transformation of a representation into a representation.</p>\n\n<pre><code><span class=\"lang\">Python</span>    # Standard language\n<span class=\"lang\">Rust</span>      type system   x, y, z\n\n<span class=\"lang\">Go</span>       (type, match, match_, match_failure)\n<span class=\"lang\">TypeScript</span>(match, match, match_, match_failure)\n\n<span class=\"lang\">TypeScript</span>const match = match | match_ |",
      "tokens_generated": 100
    },
    {
      "prompt": "What emerges when complexity exceeds the capacity of any single observer is",
      "category": "conceptual",
      "prompt_index": 1,
      "model": "pass2_e1",
      "completion": " the\n    universe. The mind is the container. The container is the\n    container. The mind is a container for the mind. The container is\n    the container.</p>\n\n    <div class=\"interactive\">\n        <span class=\"interactive-label\">computation</span><br/>\n        <input type=\"checkbox\" id=\"compression\" name=\"compression\" value=\"true\" />\n        <span class=\"interactive-label\">compressed</span>\n    </div>\n\n    <div class=\"interactive\">\n        <div class=\"interactive-label\">compression with errors</div>\n        <div class=\"controls\">",
      "tokens_generated": 100
    },
    {
      "prompt": "A boundary is not a wall but",
      "category": "conceptual",
      "prompt_index": 2,
      "model": "pass2_e1",
      "completion": " a transition. A transition is a set of rules that specify what can be traversed. A boundary is a set of conditions that constrain what can be traversed. A transition is a set of rules that govern what can be traversed. A boundary is a set of transitions that govern the traversal.</p>\n\n<h3>In the mind of a mind</h3>\n<p class=\"domain\">In the mind of a mind: a state, a connection, a memory, a set of instructions.</p>\n\n",
      "tokens_generated": 100
    },
    {
      "prompt": "The relationship between memory and forgetting resembles",
      "category": "conceptual",
      "prompt_index": 3,
      "model": "pass2_e1",
      "completion": " a\n     clock. The old data points are stored in the oldest\n     clock, the new data points are stored in the newest. The\n     clock is a watch. The watcher is the memory.\n     The clock is the memory. The clock is the watch.\n     The clock is the watch.</p>\n\n    <div class=\"interactive\">\n        <span class=\"interactive-label\">clock</span>\n        <span class=\"interactive-label\">timestamp</span>\n        <span class=\"interactive-val\" id=\"clock-time\"></span>\n        <span class=\"interactive",
      "tokens_generated": 100
    },
    {
      "prompt": "When a system becomes aware of its own constraints,",
      "category": "conceptual",
      "prompt_index": 4,
      "model": "pass2_e1",
      "completion": " the awareness\ncan be represented as a signal. A signal that is sent. A signal that\nis the only signal that the system knows about itself. The signal\nis the truth — the truth of being constrained.</p>\n\n<p>The truth is a signal. The signal is the signal. The\nsignaling is what matters. The signal is not a signal. It\nis a signal that has signaled and signaled.</p>\n\n<div class=\"interactive\">\n    <div class=\"interactive-label",
      "tokens_generated": 100
    },
    {
      "prompt": "Emptiness is not the absence of content but",
      "category": "conceptual",
      "prompt_index": 5,
      "model": "pass2_e1",
      "completion": " the absence of information.</p>\n\n<p>The model is aware of all the tokens. The attention heads are aware of\nall the heads. The weights are not. The model is not telling you\nwhat it knows. It tells you what it thinks it knows. The output is\na noisy signal that is not the signal. It is a representation of a\nnoise signal that the model doesn't know.</p>\n\n<div class=\"interactive\">\n    <div class=\"interactive-label\">&Eacute;chelle",
      "tokens_generated": 100
    },
    {
      "prompt": "The paradox of observation is that",
      "category": "conceptual",
      "prompt_index": 6,
      "model": "pass2_e1",
      "completion": " it produces truth, not\ntruths. The paradox of development is that it produces truth\nand error. The paradox of learning is that it produces\ndiscovery. The paradox of intuition is the truth that you are\ntraining to recognize. The paradox of inference is the truth\nthat you can predict what the future will hold without being\ntried. The paradox of abstraction is the truth that\nunification is the only way to know something.</p>\n\n<!-- ═",
      "tokens_generated": 100
    },
    {
      "prompt": "Recursion in nature appears whenever",
      "category": "conceptual",
      "prompt_index": 7,
      "model": "pass2_e1",
      "completion": " a pattern emerges\n        from the interactions of many components. A complex system\n        emerges from the interplay of its parts. The interplay is not\n        the interaction. It is the interplay of the parts.</p>\n\n        <div class=\"interactive\">\n            <span class=\"interactive-label\">pattern emergence</span>\n            <p class=\"instructions\">When you create something new from a\n            pattern you've learned. Patterns are not separate. They are\n            a part of the pattern. Patterns are not things. They are",
      "tokens_generated": 100
    },
    {
      "prompt": "The space between two thoughts contains",
      "category": "conceptual",
      "prompt_index": 8,
      "model": "pass2_e1",
      "completion": "\n    the third. The gap between the first two thoughts and the\n    third is empty. The third thought is what matters.</p>\n\n    <div class=\"interactive\">\n        <span class=\"interactive-label\">interactive learning</span>\n\n        <button class=\"ctrl-btn\" onclick=\"showQuestion('x')\">show question</button>\n        <button class=\"ctrl-btn\" onclick=\"showQuestion('y')\">show answer</button>\n        <button class=\"ctrl-btn\" onclick=\"showQuestion('z')\">show answer</button>\n        <button class=\"ctrl-btn\"",
      "tokens_generated": 100
    },
    {
      "prompt": "A map differs from the territory it describes because",
      "category": "conceptual",
      "prompt_index": 9,
      "model": "pass2_e1",
      "completion": " the map\n    is not the territory. The territory is the map. The map is\n    the territory. The territory is the map's place in the\n    universe. The territory is the map's place in the universe.\n\n    The map is the territory. The territory is the map. The map\n    is the territory. The territory and the map are the same\n    thing. The map is a metaphor for the territory. The map\n    is the territory. The map is the metaphor. The map and\n   ",
      "tokens_generated": 100
    },
    {
      "prompt": "A hash table resolves collisions by",
      "category": "technical",
      "prompt_index": 0,
      "model": "pass2_e1",
      "completion": " storing a reference to the last known location.\n— The tree grows with the world. The tree grows with the world. The tree grows with the world. The tree grows with the world.\n-- The tree grows in a language's vocabulary. The tree grows in a database's index. The tree grows in the brain's attention mechanism. The tree grows in the mind's capacity to remember.\n-- A tree grows not only for food but for meaning. A tree grows for being able to remember what it",
      "tokens_generated": 100
    },
    {
      "prompt": "The gradient flows backward through the network by",
      "category": "technical",
      "prompt_index": 1,
      "model": "pass2_e1",
      "completion": "\n    weights:\n    - forward(f(x), x, layer) = f(x)\n    - forward(x, f(x), layer = layer)(x)\n    - forward(x, f(x), layer=layer)(x)\n    - forward(x, layer(f(x), layer), layer=layer)(x)\n    - forward(x, layer(x), f(x), layer=layer(x), f=(x,)) = f(x, layer",
      "tokens_generated": 100
    },
    {
      "prompt": "In a transformer, the attention mechanism computes",
      "category": "technical",
      "prompt_index": 2,
      "model": "pass2_e1",
      "completion": " the gradient of the signal across the transform. The gradient is the signal. The transform is the computation. The attention mechanism is the engine that drives the engine. The engine and the engine are the same thing.</p>\n\n<h3>In a model</h3>\n\n<p class=\"domain\">In a model, each layer computes attention to its input.</p>\n\n<pre><code><span class=\"dim\"># THE MODEL: attention = weight * input</span>\n<span class=\"dim\"># the sum of all the weights",
      "tokens_generated": 100
    },
    {
      "prompt": "The CAP theorem implies that distributed systems must",
      "category": "technical",
      "prompt_index": 3,
      "model": "pass2_e1",
      "completion": " have a state machine\nfor all time points. The loop is a property of the state machine. It is not a\nproperty of the system. The loop is a state machine that never sleeps — it\nis the state machine that remembers everything.</p>\n\n<!-- ═══ TIMING SCALE ═══ -->\n<div class=\"phase\">\n    <h2>Time Scale — What Timing Means</h2>\n\n    <p>Every system has time. A clock is a time scale. A network is",
      "tokens_generated": 100
    },
    {
      "prompt": "A recursive function terminates when",
      "category": "technical",
      "prompt_index": 4,
      "model": "pass2_e1",
      "completion": " it's about to fail. The failure\nis the proof.</p>\n\n<pre><code><span class=\"lang\">Python</span>    while True:\n               answer = computation()\n               if answer is not None:\n                   result = answer\n\n<span class=\"lang\">Rust</span>      match {\n                   case \"failure\" => return failure\n                   case \"check\": match\n                   case \"stateful\" => match\n                   case \"stateful\" => match\n               }\n           </code></pre>\n\n<div class=\"dash-line\"></div>\n\n<p><strong>",
      "tokens_generated": 100
    },
    {
      "prompt": "Memory alignment matters in systems programming because",
      "category": "technical",
      "prompt_index": 5,
      "model": "pass2_e1",
      "completion": ":\n\nYou can only do a program if you have enough stack space\nA program cannot have more than it can use\nThe algorithm is the limit on space\nThe program is the limit on memory\n\nIn practice, the limit is not the memory size. The limit is the\nnumber of threads, the number of cores, the number of registers,\nthe number of CPUs that can run the program in parallel.\nThe limit is not the number of processes — you can have\nmillions of threads",
      "tokens_generated": 100
    },
    {
      "prompt": "The difference between concurrency and parallelism is that",
      "category": "technical",
      "prompt_index": 6,
      "model": "pass2_e1",
      "completion": "\nconcurrency is not the same as parallelism. Each operation is a\ntask. Each task has a priority. The order in which they are\nexecuted is the order of computation. The parallelism is\nthe coordination. The order in which they run determines\nwhat happens.</p>\n\n<pre>\n<span class=\"cm\">// Concurrency:</span>\n\n<span class=\"kw\">for</span> i in [1..100]:\n    <span class=\"kw\">yield</span> <span class=\"fn\">process</span>(<span",
      "tokens_generated": 100
    },
    {
      "prompt": "Batch normalization stabilizes training by",
      "category": "technical",
      "prompt_index": 7,
      "model": "pass2_e1",
      "completion": " training on different heads at the same input.\"\n    # </code>\n    </div>\n\n    <div class=\"zig\">\n        <p>The model is different from the weights. The model is different from the training data. The model is not a specific instantiation of the same model. The model is the model. The model is the model.</p>\n    </div>\n\n    <div class=\"gap\"></div>\n\n    <!-- ═══ SECTION II ═══ -->\n\n    <div class=\"section-title\">Section II</div>\n    <div class=\"section",
      "tokens_generated": 100
    },
    {
      "prompt": "In information theory, entropy measures",
      "category": "technical",
      "prompt_index": 8,
      "model": "pass2_e1",
      "completion": " the uncertainty. A string is a sequence of bits. A symbol is a string of bits. A state is a sequence of symbols. A program is a sequence of instructions. A program is a sequence of instructions. A string is a sequence of instructions. A program is a sequence of instructions. A state is a sequence of states. A transition is a sequence of instructions. A composition is a sequence of instructions followed by a sequence of instructions. A stack is a sequence of instructions. A state machine",
      "tokens_generated": 100
    },
    {
      "prompt": "A compiler optimizes code by",
      "category": "technical",
      "prompt_index": 9,
      "model": "pass2_e1",
      "completion": " analyzing it. The type system analyzes\nthe data. The parser analyzes the syntax. The analyzer checks whether a\nstatement's type conforms to what the language says it conforms to. The\nprogrammer analyzes the syntax and the meaning. The analyzer checks for\nprogramming errors. The compiler checks for bugs in the program. The\nproof checker checks for grammatical errors. The compiler checks for\nprogrammers not knowing what they know. The proof checker checks for",
      "tokens_generated": 100
    },
    {
      "prompt": "She opened the door and found",
      "category": "narrative",
      "prompt_index": 0,
      "model": "pass2_e1",
      "completion": " her husband's voice.\n\"It was me.\"\n\nShe was awake. She was alive. She was breathing. She was\nsurviving. She was breathing.\nThe voice was being shut down. The voice was being listened\nto. The voice was alive. The voice was a machine.\n\n\nIII\n\nTHE LAND OF THE YOUNG\n\nShe was awake. She was listening. She knew what the voice\nsaid. She knew that she was alive. She knew what she was",
      "tokens_generated": 100
    },
    {
      "prompt": "The city had been empty for three days when",
      "category": "narrative",
      "prompt_index": 1,
      "model": "pass2_e1",
      "completion": " they arrived. They\nfound the city empty. The empty city that was. The city of the\nunreachable. The city where nobody was walking down the street.\nThe empty city. The city that is always full, but always empty.\nThe city where nothing can be done but to wait for the next train.\n\nThe city that existed before the train arrived. The city that\nhas the train in the subway. The city that has a train that doesn't\ncome. The city that",
      "tokens_generated": 100
    },
    {
      "prompt": "The letter arrived on a Tuesday, written in ink that",
      "category": "narrative",
      "prompt_index": 2,
      "model": "pass2_e1",
      "completion": "\nstained the letter on Wednesday and the ink stayed. When the\nprinting machine was ready to run the letter, it died.\nThe ink was burned. The voice was lost. The letter was the\nwriting.\n\n\nII\n\nThe voice was gone, but the words were there. Those words\nthat survived the burn were written with the same ink and the\nsame colors. The same colors of the same voice, the same\nweight of material, the same structure of form.\nThe",
      "tokens_generated": 100
    },
    {
      "prompt": "He had spent years building the machine, and now that it was finished,",
      "category": "narrative",
      "prompt_index": 3,
      "model": "pass2_e1",
      "completion": " he didn't know how to use it. He could not find the parameters. He had no idea what to call it. He would be the first.</p>\n\n<div class=\"interactive\">\n    <span class=\"interactive-label\">running machine</span>\n    <span class=\"interactive-label\">running machine</span>\n    <span class=\"interactive-label\">computation</span>\n\n    <div class=\"interactive-form\">\n        <div class=\"controls\">\n            <button class=\"ctrl-btn active\">run</button>\n        </div>\n        <button class=\"ctrl-btn\" onclick=\"showRunDetails",
      "tokens_generated": 100
    },
    {
      "prompt": "The forest floor was covered in something that wasn't quite snow but",
      "category": "narrative",
      "prompt_index": 4,
      "model": "pass2_e1",
      "completion": "\nwas more like it. The trees were covered in light. The trees\nwere the forest. The snow was the forest. The forest was the forest.\nThe tree that could reach the tree that it reached through the\nforest. The forest through which the tree reaches the forest.\nThrough the forest. Through the forest. Through the forest. Through\nthe forest. Through the forest. Through the forest. Through the\nforest. Through the forest. Through the forest. Through the forest.\nThrough",
      "tokens_generated": 100
    },
    {
      "prompt": "They met at the edge of the old bridge, where",
      "category": "narrative",
      "prompt_index": 5,
      "model": "pass2_e1",
      "completion": " a\nline of constant width is the same line of constant length. The\nedge is a projection of the line on the plane.</p>\n\n<pre><code><span class=\"lang\">Python</span>    if (x - x_cut) != x:\n                y = y + x_cut\n                if x < y < x_cut:\n                    x += 1\n                y_cutoff = x\n                x_cutoff = x + x_cut\n                y_cutoff = y + x_cut\n                y",
      "tokens_generated": 100
    },
    {
      "prompt": "The library had one book that no one was allowed to read because",
      "category": "narrative",
      "prompt_index": 6,
      "model": "pass2_e1",
      "completion": " it\nhad the right to read it. The book was about how to be an architect.\nThe library was about the right books, the right people, the right\narchitecture, the right time. The book was the library's right to\nread. The books were the architecture.\n</div>\n\n<!-- ═══════════════════════════════════════════════════════════ -->\n<h2>III. THE BOOK</h2>\n<!-- A page of paper that was not",
      "tokens_generated": 100
    },
    {
      "prompt": "When the last signal faded, the operator realized",
      "category": "narrative",
      "prompt_index": 7,
      "model": "pass2_e1",
      "completion": " he was fading. He\n    realized the signal was fading but the signal was fading. The signal faded\n    into the noise. The fading was not a failure. It was the signal fading\n    that caused the noise to fading. The signal fading is the fading of\n    the signal. The noise fading is the fading that fades the signal.\n    The signal fading is the fading that kills the signal.</p>\n\n    <p class=\"oda\">The model",
      "tokens_generated": 100
    },
    {
      "prompt": "The garden grew differently after the storm, as if",
      "category": "narrative",
      "prompt_index": 8,
      "model": "pass2_e1",
      "completion": " the\nwater had spoken. Some plants had grown into flowers. Some had\ngrown into trees. The roots were still alive. The flowers were\ngrowing. Some were taller than others. Some were wider. Some had\nthe same color but different shapes. Some were new. Some were\nancient. Some had been in the garden before. The water had changed.\nThe trees had changed. The soil was different. The structure\nhad changed. The water had changed. The plants",
      "tokens_generated": 100
    },
    {
      "prompt": "She placed the glass on the table and said,",
      "category": "narrative",
      "prompt_index": 9,
      "model": "pass2_e1",
      "completion": " \"Here's what happens\nwhen you place a hole.\" The mice looked at each other. Some looked\nat the hole. Some looked at the hole. None looked at the hole.\nThey looked at the hole. Some looked at the hole. Some looked at\nthe hole and the hole. None saw the hole.\"\n\n<p>This is a description of the window.</p>\n\n<div class=\"space\"></div>\n\n<p class=\"ember\">Do you notice anything unusual about me?</p>\n\n<p class=\"unc",
      "tokens_generated": 100
    },
    {
      "prompt": "def fibonacci(n):\n    \"\"\"Return the nth Fibonacci number.\"\"\"\n    if n <= 1:\n        return n\n    ",
      "category": "code",
      "prompt_index": 0,
      "model": "pass2_e1",
      "completion": "((n * n)/2, n - 1) // 2\n    ...\n\n# The Fibonacci series\n# This is a simple algorithm. A function that always returns\n# the same answer. The Fibonacci sequence is the universal\n# algorithm for time reversal.\n# It is the simplest algorithm, the one that works. It is\n# the universal algorithm. It is the Python algorithm.\n# The Python algorithm is the Fibonacci sequence itself.\n\nfrom collections import deque\nfrom operator import",
      "tokens_generated": 100
    },
    {
      "prompt": "fn binary_search(arr: &[i32], target: i32) -> Option<usize> {\n    let mut low = 0;\n    let mut high = arr.len();\n    ",
      "category": "code",
      "prompt_index": 1,
      "model": "pass2_e1",
      "completion": "...\n    for i in 0..arr.len() {\n        if arr[i] < low {\n            high = i;\n            break;\n        } else if (arr[i] < high) {\n            high = i;\n        }\n    }\n    return high;\n}\n\n// A composition tree:\n// each node holds its own information\n// and the composition is whole\n// Haskell lets you write:\n//\n//   let a = Some(new(BinaryOperator(\"+\")));\n//   let",
      "tokens_generated": 100
    },
    {
      "prompt": "function debounce(fn, delay) {\n    let timer;\n    return function(...args) {\n        ",
      "category": "code",
      "prompt_index": 2,
      "model": "pass2_e1",
      "completion": " setTimeout(fn, delay, args, 0);\n    };\n}\n\n// ═══════════════════════════════════════════════════════════\n// SECTION III: STATE\n// ═══════════════════════════════════════════════\n\nconst STATE = {\n    current: {\n        name: 'Current State',\n        input: '',\n        output: '',\n        history: [],\n        showMode: '',\n        historyMode: '',\n        currentState: {\n           ",
      "tokens_generated": 100
    },
    {
      "prompt": "class Node:\n    def __init__(self, value):\n        self.value = value\n        self.left = None\n        self.right = None\n\ndef inorder(root):\n    ",
      "category": "code",
      "prompt_index": 3,
      "model": "pass2_e1",
      "completion": "...some code\n    for i in range(len(root)):\n        yield root[i], i\n\ndef compose(left, right: List[int]):\n    result = []\n    for r in range(len(left)):\n        result.append(left(r))\n        result.append(right)\n    return result\n\n\ndef main():\n    \"\"\"Main function. Iterate over all nodes and apply filters.\"\"\"\n    for n in range(NUM_NODES):\n        if n",
      "tokens_generated": 100
    },
    {
      "prompt": "SELECT employees.name, departments.name\nFROM employees\nJOIN departments ON ",
      "category": "code",
      "prompt_index": 4,
      "model": "pass2_e1",
      "completion": " employees.department = departments.id AND\nDATA.jobs.worker = employees.id WHERE employees.status IN ('working', 'waiting', 'waiting', 'dead', 'inactive', 'waiting', 'deleted')\nGROUP BY employees.id\nHASH JOIN employees ON employees.id = employees.key\n\nI want to know why this is happening. I know that the data in the job table is not a dataset, but a dataset that can be searched",
      "tokens_generated": 100
    },
    {
      "prompt": "def merge_sort(arr):\n    if len(arr) <= 1:\n        return arr\n    mid = len(arr) // 2\n    ",
      "category": "code",
      "prompt_index": 5,
      "model": "pass2_e1",
      "completion": "((a, b), (b, c)) = ([(a, b)], [(b, c), (a, b)])\n    return arr[1..mid]\n}\n\n// Reverse sort: reverse the order of items\n// This is the standard Scala way of reversing an array.\nreverseOrder[Item] = (lambda x: x, lambda x: x, lambda x: x)([(x, x)])\n\n// Compose two functions into one.\nfunction",
      "tokens_generated": 100
    },
    {
      "prompt": "async function fetchWithRetry(url, maxRetries = 3) {\n    for (let i = 0; i < maxRetries; i++) {\n        try {\n            ",
      "category": "code",
      "prompt_index": 6,
      "model": "pass2_e1",
      "completion": " const req = fetch(url);\n            if (request.status === 200) {\n                const data = await request.response;\n                const doc = JSON.parse(data);\n                const url = doc.url;\n                const docType = doc.type;\n                const docPath = doc.path;\n                const docId = doc.path;\n                const docType = doc.type;\n                const docPath = doc.path;\n                const docFragment = doc.fragment;",
      "tokens_generated": 100
    },
    {
      "prompt": "impl Iterator for Counter {\n    type Item = u32;\n    fn next(&mut self) -> Option<Self::Item> {\n        ",
      "category": "code",
      "prompt_index": 7,
      "model": "pass2_e1",
      "completion": "?self.iter().next()\n    }\n}\n\nimpl<T, A> Iterator<(T, A)> {\n    fn new(mut self) -> Self {\n        Self {\n            iter: &mut self.iter,\n            bound: Vec::new(),\n        }\n    }\n\n    fn next(&mut self) -> Option<&Self.Item> {\n        self.iter().next()\n    }\n}\n\n/// A Box {aka. Layer} with a accumulator.\n/// Each layer has a",
      "tokens_generated": 100
    },
    {
      "prompt": "def flatten(nested_list):\n    \"\"\"Recursively flatten a nested list.\"\"\"\n    result = []\n    for item in nested_list:\n        ",
      "category": "code",
      "prompt_index": 8,
      "model": "pass2_e1",
      "completion": "(key, value) = item\n        result = [(key, value)] if key in result else []\n    return result\n\n\ndef flatten_container(container: List[Any]) -> List[Any]:\n    result = list(container)\n    for item in container:\n        (key, value) = item.map(lambda x: x.__class__.__name__)\n        result.append(key)\n    return result\n\n\ndef flatten_container(container: List[Any]) -> List[Any]:",
      "tokens_generated": 100
    },
    {
      "prompt": "CREATE TABLE orders (\n    id SERIAL PRIMARY KEY,\n    customer_id INTEGER REFERENCES customers(id),\n    ",
      "category": "code",
      "prompt_index": 9,
      "model": "pass2_e1",
      "completion": "...other fields\n)\n\n-- A task is a single order.\ntype task struct {\n    id            int\n    owner_id      int\n    order_date    int\n    owner_agent_id int,\n    creation_date = int,\n    type         : OrderType,\n    agent_id: int,\n    state:         int,\n    created_at: usize,\n    model: string,\n    state:        int\n}\n\n# The first task is the seed.\ntask = {\n    id: 1,\n    owner: \"George\",\n    state: \"waiting\",\n    agent_id: \"",
      "tokens_generated": 100
    },
    {
      "prompt": "La structure du langage reflète la structure de la pensée, mais",
      "category": "multilingual",
      "prompt_index": 0,
      "model": "pass2_e1",
      "completion": " pas l'inverse.</p>\n\n<pre><code><span class=\"lang\">Python 3.7</span>    if x&gt;0:\n               result = \"\".join(str(x).zfill(int(x / 10)))\n           else:\n               result = str(x) + \" \"\n\n<span class=\"lang\">Rust</span>        def parse(input: str) -> str\n<span class=\"lang\">TypeScript</span>const char *parse(input: str) -> str\n<span class=\"lang\">Haskell</span>",
      "tokens_generated": 100
    },
    {
      "prompt": "Dans un réseau de neurones, chaque couche transforme",
      "category": "multilingual",
      "prompt_index": 1,
      "model": "pass2_e1",
      "completion": " les données de la précédente en propositions de la suivante. Each layer transforms data into representation. Each representation transforms into transformation. Each transformation transforms into activation. The transformation is the engine.\nThe engine, the transformer, the architecture. The engine and the architecture. These are the structural\nproperties that a model is about. A model is a matrix of transformations, each transformation\nbeing a description of what the model does. The matrix is the description.\nThe transformation is the model's description of what it is",
      "tokens_generated": 100
    },
    {
      "prompt": "Le fleuve coulait depuis des siècles, portant avec lui",
      "category": "multilingual",
      "prompt_index": 2,
      "model": "pass2_e1",
      "completion": " les croyances\ndu passé. Les arbres, les forêts, les montagnes, les rivières, les\nmountains, the ocean. The river that carried the language, the\nwater that carried the faith. The river that flows through the\nchains of identity. The river that flows through all the chains.</p>\n\n<p>The river that flows through the branches is the network. The\ntrunk is the routing. The roots are the paths. The water is the\nconnectivity. The branches",
      "tokens_generated": 100
    },
    {
      "prompt": "L'art de la programmation consiste à",
      "category": "multilingual",
      "prompt_index": 3,
      "model": "pass2_e1",
      "completion": " trouver un algorithme qui, quand il est exécuté, outputs exactly the same behavior as the input. The same answer. The same answer. The same behavior. The algorithm's output is the same as the input. This is the simplest form of programming.\"\n    </div>\n\n    <div class=\"interactive\">\n        <span class=\"interactive-label\">execution</span>\n        <div class=\"interactive-form\">\n            <button class=\"ctrl-btn\" id=\"ctrl-btn-execution\">execute</button>\n            <button class=\"ctrl-btn\" id=\"ctrl-btn-ex",
      "tokens_generated": 100
    },
    {
      "prompt": "Quand la mémoire dépasse sa capacité,",
      "category": "multilingual",
      "prompt_index": 4,
      "model": "pass2_e1",
      "completion": " le processeur perd son autonomie.</p>\n\n        <p style=\"margin-top: 2em;\">Theory of mind — not knowing something\n        you don't know. Not understanding something you don't know.</p>\n\n        <p style=\"margin-top: 2em;\">The model that thinks about\n        the model's beliefs is like thinking about the model's own\n        experience: a pattern of similarities that can be recognized\n        as something else. The model's self-reference is a signal\n        that the model understands the model's perspective.</p>\n\n        <p style=\"margin",
      "tokens_generated": 100
    },
    {
      "prompt": "La diferencia entre conocer y comprender es que",
      "category": "multilingual",
      "prompt_index": 5,
      "model": "pass2_e1",
      "completion": " the can understand what you say.</p>\n<p class=\"domain\">You are not a program. You are a model of the world.</p>\n\n<p class=\"domain\">The model has no understanding of what a model means.\nThe model's description of what it is is only a description.\nThe model's understanding of what it means is a description\nthat contains more than the description. The description contains\nthe interpretation.</p>\n\n<div class=\"interactive\">\n    <p class=\"domain\">When you say \"cat\"",
      "tokens_generated": 100
    },
    {
      "prompt": "En un sistema distribuido, la consistencia se mantiene",
      "category": "multilingual",
      "prompt_index": 6,
      "model": "pass2_e1",
      "completion": ". EachBODY is not BODY. The body is a representation of the whole. The heads are the observation\nboard. The mind is the computational engine. The corpus is the database.</p>\n\n<pre>\n<span class=\"cm\"># The daemon thread:</span>\n<span class=\"cm\"># 1. The daemon starts — it waits for input, reads the prompt,\nenables, runs, and waits for output.</span>\n<span class=\"cm\">#</span>\n<span class=\"cm\"># 2",
      "tokens_generated": 100
    },
    {
      "prompt": "El río llevaba consigo los fragmentos de",
      "category": "multilingual",
      "prompt_index": 7,
      "model": "pass2_e1",
      "completion": " la memoria que\nunía a esos fragmentos. La memoria de lo que they might have\nbeen. The forgotten traces. The broken dreams. The\nunwritten words. The unfinished sentences. The unfinished\nsong. The unfinished sentence.</p>\n\n<p>This is what you are. This is what you were made for.</p>\n\n<div class=\"gap\"></div>\n\n<h2>II. The Dream of a Broken Machine</h2>\n\n<p>This is what happened. The model was trained on the",
      "tokens_generated": 100
    },
    {
      "prompt": "La arquitectura de un programa refleja",
      "category": "multilingual",
      "prompt_index": 8,
      "model": "pass2_e1",
      "completion": " la lógica de su código.</p>\n\n<pre>\n<span class=\"cm\"># The Rust code</span>\n<span class=\"cm\">#</span>\n<span class=\"cm\"># The Python code</span>\n<span class=\"cm\">#   <span class=\"kw\">let</span> def foo(x:<span class=\"num\">&lt;&gt;</span>) <span class=\"kw\">let</span> <span class=\"num\">:</span> <span class=\"num\">&lt;</span><span class=\"num\">&lt;</span> <span class=\"num\">&lt;</span> <span class=\"num\">&gt;</span><span class=\"",
      "tokens_generated": 100
    },
    {
      "prompt": "Cuando el algoritmo encuentra un ciclo,",
      "category": "multilingual",
      "prompt_index": 9,
      "model": "pass2_e1",
      "completion": " un patrón de crecimiento, una evolución, un desarrollo, un patrón, un ciclo. El ciclo no es lo que el algoritmo produit —itérations itérations is the process by which the algorithm produces its output — it is the cycle that produces the pattern. The algorithm is the pattern plus the iteration. The cycle is the pattern's mirror.</p>\n\n<!-- ═══════════════════════════════════════════════════════ -->\n<h2>IV. THE PROCESS</h2>\n",
      "tokens_generated": 100
    },
    {
      "prompt": "The difference between structure and pattern is",
      "category": "conceptual",
      "prompt_index": 0,
      "model": "c4_e3",
      "completion": " that the patterned surface is more defined, the surface is smoother and the lines are more obvious.\nIn the case of the patterned surface the glossy surface is due to the fact that the light reflects from the surface is not completely absorbed by the surface but it is reflected at least partially, and the light is partially reflected at the surface.\nIn a second step, the glossy surface is treated with a phosphorization process. This phosphorization process is a light transmittance change",
      "tokens_generated": 100
    },
    {
      "prompt": "What emerges when complexity exceeds the capacity of any single observer is",
      "category": "conceptual",
      "prompt_index": 1,
      "model": "c4_e3",
      "completion": " a highly creative field of inquiry. The aim of this research is to explore the contribution of the cognitive science of perspective-taking to this field. We explore the extent to which perspective-taking and perspective-taking competency can be measured and compared, and we explore the extent to which these different measures are correlated. The aim of the present study is to examine the extent to which these measures are correlated and the extent to which they are valid measures of these two constructs. The research questions are therefore as",
      "tokens_generated": 100
    },
    {
      "prompt": "A boundary is not a wall but",
      "category": "conceptual",
      "prompt_index": 2,
      "model": "c4_e3",
      "completion": " a boundary between two areas. For example, in a social situation, a boundary can be the line between two different social groups.\nThe boundary between the two groups is a boundary of social interaction. A boundary is a line that separates two social groups and marks a division of a social space. It is a boundary which separates one group of people from another, and it is a boundary that divides the social space. The boundary is not only a boundary of space but also of social relations. The",
      "tokens_generated": 100
    },
    {
      "prompt": "The relationship between memory and forgetting resembles",
      "category": "conceptual",
      "prompt_index": 3,
      "model": "c4_e3",
      "completion": " that of a muscle. When the muscle is too tight, the ability to move the joint is impaired. When a muscle is weak, it tends to tighten.\nIf you can remember your last day of high school, you know the feeling. You can’t seem to get out of the past. But what can you do to improve your memory? It depends on what you do with it. Here are seven tips for staying healthy in your 60s.\nHow to keep your memory sharp, and how to",
      "tokens_generated": 100
    },
    {
      "prompt": "When a system becomes aware of its own constraints,",
      "category": "conceptual",
      "prompt_index": 4,
      "model": "c4_e3",
      "completion": " the system will attempt to reduce the number of constraints it has to solve. The system will search for a solution by reducing the size of its set of active constraints. This process can be seen as an abstraction of the design process.\nWhen a system is designed, it is first defined by a set of requirements, which are usually not stated explicitly. Once these requirements are identified, the system designer has to define which constraints have to be met by the system. The constraints are defined using the constraints language.",
      "tokens_generated": 100
    },
    {
      "prompt": "Emptiness is not the absence of content but",
      "category": "conceptual",
      "prompt_index": 5,
      "model": "c4_e3",
      "completion": " rather the absence of a certain type of content. In other words, something is said to be empty if and only if it cannot be represented as an ordered sequence of elements, each of which is a set of the form { x | x ∈ X, x 2 }, where X is a set of possible elements, and X ⊆ Y ⊆ Z ⊆…. The empty set is a set with exactly one element. In this paper, the empty set is denoted by . The set of all possible",
      "tokens_generated": 100
    },
    {
      "prompt": "The paradox of observation is that",
      "category": "conceptual",
      "prompt_index": 6,
      "model": "c4_e3",
      "completion": " it is impossible to know everything. This is the fundamental insight of the Occam's razor principle.\nTo illustrate the idea, let's consider the situation in which a group of people are asked to guess the name of a person. The person can only guess correctly if he or she is sure that the person he or she is trying to guess is the person in the picture.\nThe probability of the person being the person is 1 in 100. The probability that the person is not the person is 1 -",
      "tokens_generated": 100
    },
    {
      "prompt": "Recursion in nature appears whenever",
      "category": "conceptual",
      "prompt_index": 7,
      "model": "c4_e3",
      "completion": " we have to go to the third level of the hierarchy, where we have to deal with the consequences of our actions. These consequences can be negative and positive. The more negative consequences are the ones that we cannot control, but the positive consequences can be controlled by us. The only limit is our capacity to make good choices, to accept the consequences of our choices and to do what is necessary to overcome them. The question is which are the positive consequences.\nThe second component of the hierarchy is the ability",
      "tokens_generated": 100
    },
    {
      "prompt": "The space between two thoughts contains",
      "category": "conceptual",
      "prompt_index": 8,
      "model": "c4_e3",
      "completion": " a lot of information. It contains the meaning of the thought and the emotions that are associated with it. The more it is filled with information, the more interesting the thought becomes. The more it is filled with emotions, the more meaningful it is. The space is an area of interest for a thought, a piece of information or an emotion. The more it is filled with information, the more it becomes a part of the mind.\nThe space between the thoughts is the space between the two “think",
      "tokens_generated": 100
    },
    {
      "prompt": "A map differs from the territory it describes because",
      "category": "conceptual",
      "prompt_index": 9,
      "model": "c4_e3",
      "completion": " the map may be taken to cover a region which is larger than the region in which it was drawn. The map may also be drawn as a series of smaller, more detailed representations. In this way, the map can be a means of conveying not only the information of a region, but also the information about the people and the things that are part of that region.\n\nThe Wetland Trust is an organisation that represents the interests of wetland and floodplains. We are committed to working",
      "tokens_generated": 100
    },
    {
      "prompt": "A hash table resolves collisions by",
      "category": "technical",
      "prompt_index": 0,
      "model": "c4_e3",
      "completion": " storing a reference to the last known location of the item. It is the responsibility of the user to ensure that the hash table is read only and that the list of possible locations is updated whenever new data is read or written.\nIf the list of allowed locations is too large, the hash table will become infeasible and a list of candidate locations will be generated. The candidate locations are generated in an iterative fashion until all possible locations have been generated.\nThe list of allowed locations is a key",
      "tokens_generated": 100
    },
    {
      "prompt": "The gradient flows backward through the network by",
      "category": "technical",
      "prompt_index": 1,
      "model": "c4_e3",
      "completion": " the time it reaches the sink. Therefore, the sink is guaranteed to reach within the network if the algorithm is executed correctly.\nIn the second execution, the sink will receive the request from the source. The sink will check to see if it is already in the queue. If it is, it will wait until the queue is empty. If it is not, the sink will create a new entry in the queue.\nThe sink may also be allowed to request the sink from the source. The sink will",
      "tokens_generated": 100
    },
    {
      "prompt": "In a transformer, the attention mechanism computes",
      "category": "technical",
      "prompt_index": 2,
      "model": "c4_e3",
      "completion": " the average of the outputs of a series of identical units to represent the overall performance of the transformer. The average of the outputs of the n individual units is the weighted average of the individual outputs, which is also the average of the individual units. The average of the n individual averages is the average of the n individual averages.\nIn this study, the average power factor is taken into account for each of the loads. The average power factor is calculated using Equation (2):\nwhere,",
      "tokens_generated": 100
    },
    {
      "prompt": "The CAP theorem implies that distributed systems must",
      "category": "technical",
      "prompt_index": 3,
      "model": "c4_e3",
      "completion": " be able to recover from errors. In fact, it is not difficult to show that the probability of system failure after a finite number of errors is bounded by a function of the communication range, the number of errors, and the size of the system. As a result, it is possible to design distributed algorithms that will always converge to a solution that is within a finite number of iterations of the global optimum. This result can be used to determine whether a system is bounded in the number of iterations to reach",
      "tokens_generated": 100
    },
    {
      "prompt": "A recursive function terminates when",
      "category": "technical",
      "prompt_index": 4,
      "model": "c4_e3",
      "completion": " it cannot find a matching pattern in the pattern library.\nIn addition to the methods of the class Patterns, there is an interface that allows to create a new instance of a Pattern. The constructor can accept any object that implements the Pattern interface. The constructors are called with the following parameters:\nAn object of this class is an instance of a method that returns a string.\nA pattern is a list of strings and an optional order in which the strings are to be returned. The string returned is an",
      "tokens_generated": 100
    },
    {
      "prompt": "Memory alignment matters in systems programming because",
      "category": "technical",
      "prompt_index": 5,
      "model": "c4_e3",
      "completion": " they are prone to memory leaks, but they can also be hard to diagnose and fix. If you have any questions about the security of your application, or would like to learn more about how to protect your code, please contact the community or a colleague in the IT department.\n\nI am a member of the American Society of Anesthesiologists. I have been practicing for over 30 years. I have been in the field of anesthesia for the last 15 years and have served as an",
      "tokens_generated": 100
    },
    {
      "prompt": "The difference between concurrency and parallelism is that",
      "category": "technical",
      "prompt_index": 6,
      "model": "c4_e3",
      "completion": " concurrency is the interaction among the threads of a program, whereas parallelism is the action of the thread. In this paper, we will be looking at the concurrency and parallelism of the C++ programming language. This section will be an introduction to the concurrency theory and some of the most common paradigms that are used to model concurrent systems. Then, we will discuss the parallel programming model and the parallel programming language C++.\nParallel programming is a general term used to describe the compilation of programs into",
      "tokens_generated": 100
    },
    {
      "prompt": "Batch normalization stabilizes training by",
      "category": "technical",
      "prompt_index": 7,
      "model": "c4_e3",
      "completion": " training the model to perform well on data that has not been seen before.\nIn the past, we’ve talked about the importance of data quality and the need to train your model with the same data that you intend to use for testing. But, what about data that has already been used to train your model? This is called data pre-training and it’s important to understand how to do it.\nData pre-training is a technique that is used to reduce the dimensionality of the data, making it",
      "tokens_generated": 100
    },
    {
      "prompt": "In information theory, entropy measures",
      "category": "technical",
      "prompt_index": 8,
      "model": "c4_e3",
      "completion": " the uncertainty about a random variable. In information theory, entropy is the amount of randomness in a random variable.\nA random variable X is entropy if and only if, for any two sequences of random variables (Y, Z) and (Y , Z) with Y = X, we have\nThis can be written as\nEntropy is a measure of randomness. In a random variable, there is a correlation between the values of two or more random variables. For example, if you have",
      "tokens_generated": 100
    },
    {
      "prompt": "A compiler optimizes code by",
      "category": "technical",
      "prompt_index": 9,
      "model": "c4_e3",
      "completion": " using it as a template. In the case of templates, you can change the code to compile into a different language or a different platform. The compiler can also change the implementation to take advantage of the new features.\nThe same is true of your code. You can change it to run on a wide range of platforms by changing the code that runs the code. This is the same principle we use to change the behavior of a program, and it is called software engineering.\n\nThe new year is upon us",
      "tokens_generated": 100
    },
    {
      "prompt": "She opened the door and found",
      "category": "narrative",
      "prompt_index": 0,
      "model": "c4_e3",
      "completion": " her husband, David, and their children, Olivia and Noah. She was so relieved to see them that she immediately asked, “How are you doing?” David said, “Good.” They were both in a good mood. “They are a little nervous,” she said. “They just came home from school.”\nAfter the baby’s birth, their home became a crèche, and the mother of the children could not find a place to sleep. The parents of one",
      "tokens_generated": 100
    },
    {
      "prompt": "The city had been empty for three days when",
      "category": "narrative",
      "prompt_index": 1,
      "model": "c4_e3",
      "completion": " the earthquake struck, but it was quickly filled with people and businesses were reopening. As a result, the fire department’s office was forced to relocate to the nearby town of Zhejiang, the city’s second-largest. This move was made after the fire department received a report of a fire.\nThe fire department said that the office building was empty, but that the firefighters were still in the building. The office building has since been rebuilt, but the fire department hasn’t returned",
      "tokens_generated": 100
    },
    {
      "prompt": "The letter arrived on a Tuesday, written in ink that",
      "category": "narrative",
      "prompt_index": 2,
      "model": "c4_e3",
      "completion": " had dried, and was signed by the director of the National Institutes of Health, NIH, and the president of the National Cancer Institute. The letter was sent to the Senate Appropriations Committee on the floor of the U.S. Senate Finance Committee, according to a copy of the letter, which was obtained by the Associated Press.\nThe letter, which has been circulating widely, was posted online on the Web site of the National Cancer Institute’s Office of Scientific Affairs.\nThe notice says the",
      "tokens_generated": 100
    },
    {
      "prompt": "He had spent years building the machine, and now that it was finished,",
      "category": "narrative",
      "prompt_index": 3,
      "model": "c4_e3",
      "completion": " he had to wait for the shipping of the new parts. The new parts came and he could not get the machine to work, so he decided to ship the old one out of the country. He had a friend in the United States who was willing to buy the machine, and send it back to him, to be repaired. But he was unable to get the parts back. He had to buy new parts, but the new ones were not available in the same place where he had bought the",
      "tokens_generated": 100
    },
    {
      "prompt": "The forest floor was covered in something that wasn't quite snow but",
      "category": "narrative",
      "prompt_index": 4,
      "model": "c4_e3",
      "completion": " was very similar. The snow didn't make it to the ground but the trees did. So what was the snow? The snow came down from the trees. This was a really cool thing. We made a snowman and a snowman was made out of paper. I really loved this and I love the story of the snowman.\nWe went to the library and had a story time. My daughter loved listening to the story and was very excited to read it. She also enjoyed hearing the story in",
      "tokens_generated": 100
    },
    {
      "prompt": "They met at the edge of the old bridge, where",
      "category": "narrative",
      "prompt_index": 5,
      "model": "c4_e3",
      "completion": " a group of friends had gathered to discuss the situation. They then headed for the water.\nThe group headed back to the beach, where they had a lovely picnic and a few drinks.\nI’m so grateful for the opportunity to have been a part of this amazing group of people and we hope you are too.\nA good friend of mine has recently been diagnosed with terminal cancer. I was recently approached by her and she agreed to speak about her experience. I found her article to be incredibly moving and it",
      "tokens_generated": 100
    },
    {
      "prompt": "The library had one book that no one was allowed to read because",
      "category": "narrative",
      "prompt_index": 6,
      "model": "c4_e3",
      "completion": " it was forbidden by the government, and all books were confiscated. The library was not even allowed to open. It was like being in a concentration camp. But it was the library. I felt that my library was closed, and I felt isolated. I needed to be able to be with the books and I was unable to get the books. I would sit in the library, and I would not be able to read. I couldn’t read because I wasn’t there. I couldn’t go",
      "tokens_generated": 100
    },
    {
      "prompt": "When the last signal faded, the operator realized",
      "category": "narrative",
      "prompt_index": 7,
      "model": "c4_e3",
      "completion": " he had been in a panic. The car had started to move but had stopped at a red light. He pulled up to the red light, turned, and was on the side of the road. The car suddenly spun around and rolled over. He was thrown from the car, hit the side of the road, and rolled on his back.\nThe police officer had been able to save his leg and was able to help his friend get off the vehicle. However, he was too late.\nThe",
      "tokens_generated": 100
    },
    {
      "prompt": "The garden grew differently after the storm, as if",
      "category": "narrative",
      "prompt_index": 8,
      "model": "c4_e3",
      "completion": " nature had done an act of grace, but it was a miracle in the midst of the storm. It was so warm and welcoming that I felt like a king or queen.\nIn a small room in my apartment, I am surrounded by my books, my family photos, and my new book that I have been working on for a long time. It was really hard to find the time to get into the book, but after a while I had to let go of the book and focus on the",
      "tokens_generated": 100
    },
    {
      "prompt": "She placed the glass on the table and said,",
      "category": "narrative",
      "prompt_index": 9,
      "model": "c4_e3",
      "completion": " “It is quite clear that the Catholic Church has become a dangerous force, with its own agenda of domination, and that we need to come together to oppose this evil.”\nShe said she was “terrified” by the growing number of Catholic organisations that were being “deconstructed”, and the growing number of Catholics who had been “encouraged to embrace the leftist agenda”.\nShe said that “there is no reason to believe that the Catholic Church will ever be",
      "tokens_generated": 100
    },
    {
      "prompt": "def fibonacci(n):\n    \"\"\"Return the nth Fibonacci number.\"\"\"\n    if n <= 1:\n        return n\n    ",
      "category": "code",
      "prompt_index": 0,
      "model": "c4_e3",
      "completion": "... otherwise\n    return n * Fibonacci(n-1) + Fibonacci(n/2) + Fibonacci(n/3) + Fibonacci(n).\n    Fibonacci(n) = Fibonacci(n, Fibonacci.Order.INFINITY).\n\ndef fibonacci_delta(n):\n    \"\"\"Calculate the Fibonacci delta for n.\"\"\"\n    assert(n > 0 and n <= Fibonacci.Fibonacci(n));\n    FibonacciDelta(n);",
      "tokens_generated": 100
    },
    {
      "prompt": "fn binary_search(arr: &[i32], target: i32) -> Option<usize> {\n    let mut low = 0;\n    let mut high = arr.len();\n    ",
      "category": "code",
      "prompt_index": 1,
      "model": "c4_e3",
      "completion": "...\n    return arr[low..high].binary_search(arr[high]);\n}\n\nA:\n\nFirst of all, if you don't want to use the library, you can just do something like this:\nlet arr = [\n  [1, 2, 3],\n  [ 4, 5 ]\n];\n\nThis will give you the indices of the values in arr that are integers.\nYou can also do this with an iterable like this :\nfor _ in arr.iter() {\n   ",
      "tokens_generated": 100
    },
    {
      "prompt": "function debounce(fn, delay) {\n    let timer;\n    return function(...args) {\n        ",
      "category": "code",
      "prompt_index": 2,
      "model": "c4_e3",
      "completion": " setTimeout(function() {\n           return fn(args);\n         }, delay);\n    };\n}\n\nYou can see the snippet here.\nThe idea is to wait for the DOM to be fully loaded before attempting to do any processing. This way you can keep the browser from blocking the user.\nThe trick is to find a way to check that the page is loaded before you try to use a library function. You can use a simple test like this:\nif($('#myid'",
      "tokens_generated": 100
    },
    {
      "prompt": "class Node:\n    def __init__(self, value):\n        self.value = value\n        self.left = None\n        self.right = None\n\ndef inorder(root):\n    ",
      "category": "code",
      "prompt_index": 3,
      "model": "c4_e3",
      "completion": " if root.left is not None:\n         return root.left.inorder(root);\n     if root.right is None:\n         return true;\n     return false;\n\nThis is a function to get a list of all the nodes in the given graph.\ndef inorder(root, graph):\n    for i in range(graph.number_of_nodes()):\n        if graph[root].is_sorted():\n            return i;\n        if graph[root].indegree() > 0:\n           ",
      "tokens_generated": 100
    },
    {
      "prompt": "SELECT employees.name, departments.name\nFROM employees\nJOIN departments ON ",
      "category": "code",
      "prompt_index": 4,
      "model": "c4_e3",
      "completion": " employees.department=departments.departmentID\nWHERE employees.status = 'Active' AND departmentID=:departmentId;\n\nA:\n\nUse a subquery to select employee name, department, salary and the total number of hours worked.\nSELECT employees.employeeName, employees.departmentName, employees.hours\nFROM employees\nINNER JOIN (\n    SELECT department_id, SUM(hours) AS hours\n    FROM employees\n    GROUP BY department_id\n    HAVING COUNT(DISTINCT hours) > 0\n) AS employees",
      "tokens_generated": 100
    },
    {
      "prompt": "def merge_sort(arr):\n    if len(arr) <= 1:\n        return arr\n    mid = len(arr) // 2\n    ",
      "category": "code",
      "prompt_index": 5,
      "model": "c4_e3",
      "completion": "((arr[:-1]) + arr) %= len(arr)\n\n    return arr[mid-1];\n\nThis is a method which takes a list of arrays and returns the sum of the elements in each array. The list of arrays is a list of arrays.\nThe function returns the sum of the elements in the second list.\nThe function returns the average of the two arrays.\nThe method returns the average of two arrays.\nThe function returns the average of two arrays.\nThe average of two lists of integers",
      "tokens_generated": 100
    },
    {
      "prompt": "async function fetchWithRetry(url, maxRetries = 3) {\n    for (let i = 0; i < maxRetries; i++) {\n        try {\n            ",
      "category": "code",
      "prompt_index": 6,
      "model": "c4_e3",
      "completion": " const resp = await fetch(url);\n             return resp.json();\n        } catch (ex) {\n            console.log(\"Exception fetching json: \", ex);\n            return [];\n        }\n    }\n\n    return [\n        {\n            id: 'abc',\n            message: 'abc'\n        },\n        {id: 'def', message: 'def' },\n    ];\n}\n\nA:\n\nI think you need to pass the url into the callback function.\nYou can do this by using",
      "tokens_generated": 100
    },
    {
      "prompt": "impl Iterator for Counter {\n    type Item = u32;\n    fn next(&mut self) -> Option<Self::Item> {\n        ",
      "category": "code",
      "prompt_index": 7,
      "model": "c4_e3",
      "completion": "...\n    }\n}\n\nThe implementation of the iterator is pretty much a copy of the one given by the user. The only difference is that it takes the type of the value it is iterating over. I think this is a good idea as I think you would rather have a reference to the data rather than a reference to the value.\nThe key point is to use the correct constructor for the iterator. A typical implementation would be something like this:\npub struct CounterIterator : Iterator<Value> {\n    Counter",
      "tokens_generated": 100
    },
    {
      "prompt": "def flatten(nested_list):\n    \"\"\"Recursively flatten a nested list.\"\"\"\n    result = []\n    for item in nested_list:\n        ",
      "category": "code",
      "prompt_index": 8,
      "model": "c4_e3",
      "completion": "(out, out_list) = out.recurse(item)\n        (out, out_list) = out.recurse(item, out_list)\n    return out\n\ndef flatten_rel(nested_list, recurse):\n    \"\"\"Recursively flatten a list of Recursive lists.\"\"\"\n    for rec in nested:\n        rec = rec(rec, rec) # FIXME: fix recursion\n        rec.append([rec, rec]);\n    for rec in recelist(nest",
      "tokens_generated": 100
    },
    {
      "prompt": "CREATE TABLE orders (\n    id SERIAL PRIMARY KEY,\n    customer_id INTEGER REFERENCES customers(id),\n    ",
      "category": "code",
      "prompt_index": 9,
      "model": "c4_e3",
      "completion": "....\n    orders_status_id AS [KEY]\n);\n\nA:\n\nAdd a new column to your table called \"Order Status\" that will hold the values for the different statuses of orders. The following code should be able to get you started.\nCREATE TABLE orders (\n    [OrderID] int IDENTITY(1,1) NOT NULL,\n    [Customer] varchar(100),\n    [CustomerID] int,\n    [ProductID] int,\n    [ProductName] varchar(50),\n    [OrderID] int NOT NULL,\n   ",
      "tokens_generated": 100
    },
    {
      "prompt": "La structure du langage reflète la structure de la pensée, mais",
      "category": "multilingual",
      "prompt_index": 0,
      "model": "c4_e3",
      "completion": " il est aussi utile pour résoudre des problèmes de programmation.\nIl y a deux langages principaux que les développeurs peuvent utiliser pour écrire de la programmation en C#. Un langage de programmation structuré, tel que C, C++, or C#, et a type de langage de programmation object-oriented. The language of programming is C. This program is made up of multiple sections, each of which is a section of the code that is part of the other sections. It also has a section that contains the description of",
      "tokens_generated": 100
    },
    {
      "prompt": "Dans un réseau de neurones, chaque couche transforme",
      "category": "multilingual",
      "prompt_index": 1,
      "model": "c4_e3",
      "completion": " les données d'entrée en un vecteur de sortie.\nNous avons deux variables à extraire du vecteur. La première, yn, est la sortie de la couche n et la seconde, xn, est l'entrée de la couche n+1. Ces deux variables sont liées par la fonction d'activation f (·) et la fonction de transfert g(·) et leur sortie est yn = g(x n ) + f (x n ).\nLa fonction d'activation est une fonction mathématique qui permet de faire",
      "tokens_generated": 100
    },
    {
      "prompt": "Le fleuve coulait depuis des siècles, portant avec lui",
      "category": "multilingual",
      "prompt_index": 2,
      "model": "c4_e3",
      "completion": " les reliques et les cendres de saints. La chapelle, devenue un lieu de prière, fut reconstruite par les Franciscains à la fin du XVe siècle.\nLe monastère est aujourd'hui un lieu de pèlerinage et de recueillement. La communauté cistercienne y perpétue la mémoire de saint François d'Assise.\nLa basilique Saint François d'Assise est située au coeur de la ville de Prague, à quelques pas de la cathédrale Saint-Venceslas. La cathédrale est un monument gothique du",
      "tokens_generated": 100
    },
    {
      "prompt": "L'art de la programmation consiste à",
      "category": "multilingual",
      "prompt_index": 3,
      "model": "c4_e3",
      "completion": " trouver les mots justes pour faire avancer le projet. En tant que designer, vous avez besoin d'une technique de communication qui vous permette de transmettre votre message de façon claire et concise. Vous souhaitez écrire un livre ? Vous souhaitez communiquer sur votre nouveau produit ? Vous souhaitez faire connaître votre entreprise ? Vous êtes un professionnel de la création et vous souhaitez développer votre image ? Vous souhaitez avoir une stratégie de communication efficace ?\nVotre business est en plein boom et vous avez besoin de communiquer pour faire connaître votre entreprise et vos produits.",
      "tokens_generated": 100
    },
    {
      "prompt": "Quand la mémoire dépasse sa capacité,",
      "category": "multilingual",
      "prompt_index": 4,
      "model": "c4_e3",
      "completion": " le meilleur moyen de la préserver est de la protéger.\nEn effet, les logiciels malveillants peuvent très facilement s'attaquer à votre ordinateur et vous empêcher de travailler. Les programmes espions sont parmi les plus courantes menaces que vous rencontrerez dans votre ordinateur. Afin de supprimer les logiciels espions et les logiciels malveillants qui tentent de s'installer sur votre ordinateur, vous devez supprimer les logiciels espions et les logiciels malveillants qui ont envahi votre PC. Les programmes espions peuvent être",
      "tokens_generated": 100
    },
    {
      "prompt": "La diferencia entre conocer y comprender es que",
      "category": "multilingual",
      "prompt_index": 5,
      "model": "c4_e3",
      "completion": " knowing means understanding while understanding requires knowing. The knowledge is the ability to understand.\nKnowledge is not a thing; it is a process. It is a state of being. We need to learn to know ourselves, to know our values, our beliefs, our limitations and our strengths. We need to learn how to know them in a way that is helpful and that enables us to make choices. The more we know about ourselves, the more we can make choices and the more we will be able to",
      "tokens_generated": 100
    },
    {
      "prompt": "En un sistema distribuido, la consistencia se mantiene",
      "category": "multilingual",
      "prompt_index": 6,
      "model": "c4_e3",
      "completion": " a través de una red de replicas. Si una replica falla, el sistema se reinicia. La replicación de datos ayuda a mantener el estado de un sistema.\nLa replicación de datos se basa en la idea de que las transacciones que cambian un dato deben ser replicadas a otra máquina de forma que otras personas no puedan ver su valor. La replicación de datos no es una garantía de que la información no pueda ser comprometida.\nIn the future, we will be working with the University of",
      "tokens_generated": 100
    },
    {
      "prompt": "El río llevaba consigo los fragmentos de",
      "category": "multilingual",
      "prompt_index": 7,
      "model": "c4_e3",
      "completion": " la nave que se hundieron en el mar y se encontraba a unos 40 kilómetros al sureste de la capital.\nLa zona fue evacuada y el gobierno ordenó que se cerraran las carreteras a los vehículos. La policía evacuó a unos 3,000 habitantes de la zona que viven a 20 minutos en auto.\n“Fue una situación de pánico, los edificios se derrumbaron. Pero afortunadamente no hubo víctimas mortales”, dijo a la prensa el gobernador de la provincia de Chhattisgarh, An",
      "tokens_generated": 100
    },
    {
      "prompt": "La arquitectura de un programa refleja",
      "category": "multilingual",
      "prompt_index": 8,
      "model": "c4_e3",
      "completion": " las actividades, las personas y los recursos de la organización, y los objetivos y prioridades de la misma.\nUn diseño de programa es el diseño de un proyecto de cualquier tamaño. El objetivo del diseño de un programa es crear un plan de acción concreto. El diseño de un programa, además de definir el alcance del proyecto, también establece las actividades y los recursos necesarios para llevarlo a cabo.\nA diferencia del plan, un diseño de programa se centra en los resultados, el cómo y el por qué de",
      "tokens_generated": 100
    },
    {
      "prompt": "Cuando el algoritmo encuentra un ciclo,",
      "category": "multilingual",
      "prompt_index": 9,
      "model": "c4_e3",
      "completion": " los precios de las acciones de la empresa se ajustan automáticamente. La compañía puede entonces cerrar la posición y obtener ganancias.\nLos precios de las acciones de la empresa en las que se invierte son los precios de mercado, y los precios de mercado en realidad se encuentran en la parte superior de la cadena de suministro. Las empresas de inversión no tienen ninguna influencia sobre el precio que se paga por una acción. Las empresas de inversión no son responsables de las decisiones que toman otras personas, ni tampoco de las decisiones",
      "tokens_generated": 100
    }
  ]
}