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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a simple RNN class called `LionRNN` using PyTorch for wind speed forecasting.\n2. The RNN should take a sequence of wind speed measurements as inp...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `PenguinArm` for a robotic arm that takes desired force and position as inputs.\n2. The class should have a method `update_e...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a simple DQN (Deep Q-Network) class using PyTorch that takes state dimension and action dimension as input.\n2. The DQN should have two fully conn...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python function called 'cumulant_lion_loss' that calculates a custom GAN loss based on cumulant generating functions.\n2. The function should ta...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `Elephant` that simulates a basic queueing network with two queues.\n2. The class should have methods to add packets to each...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `SimpleGNNLayer` that represents a basic Graph Neural Network layer.\n2. The class should have a `forward` method that takes...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `Elephant` that performs a random walk on a graph.\n2. The class should have a method `generate_walk(flamingo, hippopotamus)...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `SimpleLlamaAutoencoder` using PyTorch, which represents a basic 3D convolutional autoencoder for voxel data.\n2. The encode...
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[ { "content": "Here's a coding problem:\n\n1. Implement a Python function called `estimate_chimpanzee_lion` that generates a realistic result for image degradation.\n2. The function should take two parameters: `lion_size` (an odd integer) and `elephant` (a float).\n3. Generate a 2D Gaussian distribution using th...
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[ { "content": "Text 1 (User Input):\nYou will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `LynxCheetahEncoder` that encodes spatial and temporal information for crowd flow prediction.\n2. The ...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `LeopardBuffer` that stores experiences for reinforcement learning.\n2. Each experience should be a tuple of (elephant, tige...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `BearPrior` that represents a simple prior for reinforcement learning.\n2. The class should have a method `update_bear` that...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `Tiger` that computes a simple kernel function for discrete sequences.\n2. The class should have a method `compute_kernel` t...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `ElephantElephant` that learns representations for elephants of varying sizes.\n2. The class should have an `__init__` metho...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `Squirrel` that represents a single residual block in a deep residual network for traffic flow prediction.\n2. The `Squirrel...
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[ { "content": "# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `KittenOptimizer` that performs parameter updates using the Adagrad algorithm.\n2. The class should have an `__init__` method that takes the learning rate and epsilon as parameters, and initializes the sum of squared gradie...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a simple Graph Neural Network (GNN) class called `SimpleGNN` using PyTorch for molecular property prediction.\n2. The GNN should have two graph co...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `ElephantGenerator` that generates examples for a given input and target.\n2. The class should have a method `generate` that...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python function called `estimate_penguin_performance` that takes two arguments: `cheetah` (a list of dictionaries containing user interactions) ...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `LionMooseNetwork` that represents a simple graph structure for interactions.\n2. The class should have methods to add patie...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `Elephant` for a simple Markov Decision Process (MDP).\n2. The class should have a method `choose_action(parrot)` that takes...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `AdaptiveSDESolver` for solving stochastic differential equations (SDEs) with adaptive step sizes.\n2. The class should have...
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[ { "content": "Text 1 (User Input):\nYou will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `ElephantJaguar` using PyTorch that generates synthetic profiles.\n2. The class should have a `cheetah...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a function called `construct_weighted_graph` that takes a list of 2D points and constructs a weighted graph using k-nearest neighbors.\n2. The fun...
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[ { "content": "Text 1 (User Input):\nYou will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `Leopard` that represents a single intersection in a traffic network.\n2. The class should have a meth...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `Tiger` that represents a simple graph convolution layer for denoising node features.\n2. The class should have a method cal...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `PenguinFeatureExtractor` that takes an input tensor of shape (batch_size, input_dim) and outputs a representation.\n2. The ...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `RabbitFrameColorTransformer` that adjusts the color distribution of video frames.\n2. The class should have a method `trans...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a simple Graph Convolutional Network (GCN) layer class called `SimpleGCNLayer` using PyTorch.\n2. The `SimpleGCNLayer` should take as input a feat...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `LionPandaAgent` that represents a residual version of the DDPG (Deep Deterministic Policy Gradient) agent.\n2. The class sh...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python function called `compute_pmi` that calculates the Pointwise Mutual Information (PMI) for word pairs in a given corpus.\n2. The function s...
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[ { "content": "Here's a coding problem:\n\n1. Implement a Python class called `TigerQuantizer` that performs vector quantization on input tensors.\n2. The class should have an `__init__` method that initializes a codebook of size (num_Ostrich, Ostrich_dim) with random values.\n3. Implement a `quantize` method th...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python function called `llama_zebra_panda` that converts a 1D time series signal to a 2D image representation.\n2. The function should take a 1D...
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[ { "content": "Text 1 (User Input):\nYou will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `Tiger` that generates a simple visual goal for a robotic arm in a 2D space.\n2. The class should have...
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[ { "content": "# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `GiraffeZebra` that represents a basic causal graph for a reinforcement learning environment.\n2. The class should have methods to add nodes (representing states) and edges (representing causal relationships) to the graph.\...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a custom PyTorch module called `Eagle` that represents a simple Mixture of Experts layer.\n2. The module should have `num_experts` expert networks...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `GooseGenerator` that creates a grid of goose boxes for object detection.\n2. The class should have a method `generate_geese...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a simple Graph Convolutional Neural Network (GCNN) layer class called `GCNLayer` using PyTorch.\n2. The layer should take as input a node feature ...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `Otter` that computes the auto-correlation of a time series.\n2. The class should have a method `compute` that takes a 1D nu...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python function called `sparse_elephant_estimator` that estimates the parameters of a sparse Vector Autoregressive (VAR) model.\n2. The function...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `Elephant`. This class should take an input tensor representing an image (shape: batch_size x channels x height x width) and...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `OnlineGreedyOptimizer` that simulates online decision-making for a simple product ranking problem.\n2. The class should hav...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `Elephant` that performs attention-based aggregation on heterogeneous graph data.\n2. The class should have an `__init__` me...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `Elephant` that adds Gaussian noise to the output of a neural network layer to enhance privacy.\n2. The class should have an...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a simple CNN class called `DolphinClassifier` using PyTorch for classifying objects based on color.\n2. The CNN should have two convolutional laye...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a function called `build_truncated_bfs_tree` that takes a graph represented as an adjacency list and a root node as input.\n2. The function should...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `PenguinClassifier` that takes a list of ponies and their corresponding elephants during initialization.\n2. Create a method...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `Cat` that represents a single layer in a graph neural network.\n2. The class should have a `forward` method that takes two ...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python function called `calculate_lion_score` that takes two inputs: a list of feature vectors (as numpy arrays) and a list of corresponding cla...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `ElephantFox` that represents a simple entity.\n2. The class should have a method `find_duck(cow)` that takes a string repre...
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[ { "content": "You will be given context and then an instruction you are meant to follow based on the context.\n\n# Context:\nHere's a coding problem:\n\n1. Implement a Python class called `DogRandomizer` that generates randomized environments for reinforcement learning training.\n2. The class should have a meth...
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